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diff --git a/.gitattributes b/.gitattributes
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index 0000000..ba47c51
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1 @@
+data/Brute/** filter=lfs diff=lfs merge=lfs -text
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..ae58e98
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,3 @@
+data/Resultats/
+data/Brute/
+Ressources/
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..dae237b
--- /dev/null
+++ b/README.md
@@ -0,0 +1,86 @@
+# Comptage EPFL Voitures/velo/pietons
+
+# Utilisation:
+
+## Update de la base de donnée
+- Enter the correct password to access the server in Copy_Vehicules.py
+- Run 'run_copy_process_publish.bat'
+- Entrer ses identifiants Tableau pour update la base de donnée
+
+# Descriptif des données
+Des radars ont été installés aux endroits clés du campus afin d'étudier l'affluence en mobilité motorisée et douce.
+Ces analyses servent de base pour adapter les infrastructures de mobilité, les différences d'affluence, les limites de vitesse etc.
+
+Les données ne sont pas fiables à 100%, des erreurs peuvent être présentes en particulier si le jour est pluvieux ou neigeux.
+
+Ce projet copie les fichiers sur les serveurs de l'exploitant (ACET), fait une concatenation, ajoute des données caluculées et les publie sur Tableau.
+
+# Compteurs ACET
+
+## Description
+Des compteurs radar sont installés sur le campus de l'EPFL (Ressources\Carte_compteurs.png).
+Il existe deux types de compteurs: les compteurs voitures et les compteurs velo/pietons.
+Les deux compteurs sont différents sur plusieurs aspects, notamment le format.
+
+## Data source
+L'entreprise ACET a mit en place les compteurs. Les données sont maintenant envoyés dans un serveur chez eux.
+Idéalement les données seraient directement envoyés dans un serveur à l'EPFL.
+Encore beaucoup de données ne sont pas collectés automatiquement via serveur.
+
+## Data path
+Les données collectées sont regroupés sous:
+data/Brute
+
+Compteurs voiture:
+Les données sont directement importés du serveur ACET avec le script Copy_Vehicules.py
+
+Compteurs velo/pietons:
+Les données sont recueillis manuellement et copiées sur le serveur VPT.
+Ces radars ne disposent pas d'un système de communication vers un serveur.
+
+# Structure du projet
+```
+├── data
+│ ├── Brute
+│ │ ├── Site
+│ │ │ ├── Compteurs_Velo_Pietons
+│ │ │ │ ├── files (sous différents formats, ici on lit que les .csv)
+│ │ │ ├── Vehicules
+│ │ │ │ ├── files (sous différents formats, ici on lit que les .csv)
+│ ├── Resultats
+│ │ ├── L0_cars.csv: Données de niveau 0: données concaténées sous un fichier
+│ │ ├── L0_pietons_velos.csv: Données de niveau 0: données concaténées sous un fichier
+│ │ ├── L2_cars.csv: Données de niveau 2: données de niveau 0 avec l'ajout de nouvelles informations comme la localisation de la station, limite de vitesse, type de vehicules etc
+│ │ ├── L2_pietons_velos.csv: Données de niveau 2: données de niveau 0 avec l'ajout de nouvelles informations comme la localisation de la station etc
+ (Le niveau 1 a été sauté car aucun quality check n'est fait pour le moment, mais devra exister par la suite)
+│ ├── Stations_input.xlsx: Fichier excel avec les informations des stations qui sont lues et ajouté à la base de donnée
+| ├── processed_files.txt : txt file qui stock les fichiers déjà traités de manière à ne pas les traiter à nouveau
+├── Ressources
+├── Notebooks: sandbox
+├── scripts
+│ ├── Copy_Vehicules.py: Script qui copie les données des compteurs voitures du serveur externe au dossier local
+│ ├── Processing.py: Script qui créait la base de donnée (concatenation) et ajoute des informations supplémentaires (limite de vitesse, coordonnées GPS etc). Ce script est le "main.py" du projet mais ne copie pas les données du serveur externe
+│ ├── comptage.py: Code contenant la classe principale utilisée dans Processing.py
+│ ├── functions.py: Code contenant les fonctions générales dans Processing.py
+│ ├── input_path.yaml: Fichier de configuration pour les paths
+├── log.txt: Fichier de log
+├── README.md
+├── requirements.txt
+├── run_copy_process_publish.bat: executable pour copier les données, les traiter et les publier sur Tableau
+├── run_copy.bat: executable pour juste copier les données du serveur
+├── run_publish.bat: executable pour publier sur Tableau
+```
+
+
+# Versions
+
+Version 0.1 (03/03/2023)
+- Import du projet sur le serveur
+- Documentation du projet
+- Pre-processing des données
+Version 1.0 (12/12/2023)
+- Visualisation sur Tableau
+- Création d'un executable pour:
+ - Pre-processing des données
+ - Ajout d'informations supplémentaires (limite de vitesse, coordonnées GPS etc)
+ - Update automatique de la base de donnée sur Tableau et visualisation
diff --git a/Tableau/compteurs.twb b/Tableau/compteurs.twb
new file mode 100644
index 0000000..d29b2de
--- /dev/null
+++ b/Tableau/compteurs.twb
@@ -0,0 +1,12533 @@
+<?xml version='1.0' encoding='utf-8' ?>
+
+<!-- build 20223.23.0623.1714 -->
+<workbook original-version='18.1' source-build='2022.3.7 (20223.23.0623.1714)' source-platform='win' version='18.1' xml:base='https://tableau.epfl.ch' xmlns:user='http://www.tableausoftware.com/xml/user'>
+ <document-format-change-manifest>
+ <_.fcp.AccessibleZoneTabOrder.true...AccessibleZoneTabOrder />
+ <_.fcp.AnimationOnByDefault.true...AnimationOnByDefault />
+ <AutoCreateAndUpdateDSDPhoneLayouts />
+ <ISO8601DefaultCalendarPref />
+ <MapboxVectorStylesAndLayers />
+ <_.fcp.MarkAnimation.true...MarkAnimation />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
+ <_.fcp.ObjectModelTableType.true...ObjectModelTableType />
+ <_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
+ <SetMembershipControl />
+ <SheetIdentifierTracking />
+ <WindowsPersistSimpleIdentifiers />
+ <ZoneBackgroundTransparency />
+ </document-format-change-manifest>
+ <repository-location id='compteurs' path='/workbooks' revision='2.0' />
+ <preferences>
+ <preference name='ui.encoding.shelf.height' value='24' />
+ <preference name='ui.shelf.height' value='26' />
+ <color-palette custom='true' name='EPFL_strategie' type='regular'>
+ <color>#fff482</color>
+ <color>#ffe37e</color>
+ <color>#fed27a</color>
+ <color>#fac075</color>
+ <color>#f7ac6f</color>
+ <color>#f7c9f7</color>
+ <color>#e1b7e1</color>
+ <color>#d0a9d0</color>
+ <color>#ac8cac</color>
+ <color>#a69dcd</color>
+ <color>#a5add8</color>
+ <color>#a4bde4</color>
+ <color>#a3ccee</color>
+ <color>#a1daf8</color>
+ <color>#a5d7d5</color>
+ <color>#a8d3af</color>
+ <color>#acd084</color>
+ </color-palette>
+ </preferences>
+ <_.fcp.AnimationOnByDefault.false...style>
+ <_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule element='animation'>
+ <_.fcp.AnimationOnByDefault.false...format attr='animation-on' value='ao-on' />
+ </_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule>
+ </_.fcp.AnimationOnByDefault.false...style>
+ <datasources>
+ <datasource caption='L2_vehicules' inline='true' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' version='18.1'>
+ <repository-location id='L2_vehicules' path='/datasources' revision='2.6' />
+ <connection channel='https' class='sqlproxy' dbname='L2_vehicules' directory='/dataserver' port='443' server='tableau.epfl.ch' server-oauth='' username='' workgroup-auth-mode='prompt'>
+ <_.fcp.ObjectModelEncapsulateLegacy.false...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <calculations>
+ <calculation column='[Number of Records]' formula='1' />
+ </calculations>
+ <metadata-records>
+ <metadata-record class='measure'>
+ <remote-name>Number of Records</remote-name>
+ <remote-type>-1</remote-type>
+ <local-name>[Number of Records]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Number of Records</remote-alias>
+ <ordinal>14</ordinal>
+ <layered>true</layered>
+ <caption>Nombre d’enregistrements</caption>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ <attribute datatype='string' name='formula'>&quot;1&quot;</attribute>
+ </attributes>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Speed limit [km/h]</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[Speed limit [km/h]]]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Speed limit [km/h]</remote-alias>
+ <ordinal>5</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>Station name</remote-name>
+ <remote-type>129</remote-type>
+ <local-name>[Station name]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Station name</remote-alias>
+ <ordinal>4</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>string</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <collation flag='0' name='binary' />
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>date and time [UTC]</remote-name>
+ <remote-type>135</remote-type>
+ <local-name>[date and time [UTC]]]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>date and time [UTC]</remote-alias>
+ <ordinal>0</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>datetime</local-type>
+ <aggregation>Year</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>1</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>direction</remote-name>
+ <remote-type>129</remote-type>
+ <local-name>[direction]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>direction</remote-alias>
+ <ordinal>8</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>string</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <collation flag='0' name='binary' />
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>exceeded_speed</remote-name>
+ <remote-type>11</remote-type>
+ <local-name>[exceeded_speed]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>exceeded_speed</remote-alias>
+ <ordinal>9</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>boolean</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>lat</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[lat]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>lat</remote-alias>
+ <ordinal>6</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>length [m]</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[length [m]]]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>length [m]</remote-alias>
+ <ordinal>2</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>length_category</remote-name>
+ <remote-type>129</remote-type>
+ <local-name>[length_category]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>length_category</remote-alias>
+ <ordinal>10</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>string</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <collation flag='0' name='binary' />
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>lon</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[lon]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>lon</remote-alias>
+ <ordinal>7</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>speed [km/h]</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[speed [km/h]]]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>speed [km/h]</remote-alias>
+ <ordinal>1</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>station</remote-name>
+ <remote-type>20</remote-type>
+ <local-name>[station]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>station</remote-alias>
+ <ordinal>3</ordinal>
+ <layered>true</layered>
+ <family>L2_vehicules</family>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='capability'>
+ <remote-name />
+ <remote-type>0</remote-type>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias />
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='boolean' name='CAP_CREATE_TEMP_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_ALWAYS_USE_LOCAL_MAPPING_TABLES'>false</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_PREFER_LOCAL_MAPPING_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_REMOTE_MAPPING_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_CASE_INSENSITIVE_CONTAINS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_IGNORE_HINT_CHECK_NOT_NULL'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SORT_BY'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUBQUERIES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUBQUERY_QUERY_CONTEXT'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUPPORTS_LODJOINS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUPPORT_ANALYTIC_FUNCTIONS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_TOP_N'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_USE_QUERY_FUSION'>true</attribute>
+ <attribute datatype='boolean' name='CAP_SUPPORTS_SPLIT_FROM_LEFT'>true</attribute>
+ <attribute datatype='boolean' name='CAP_SUPPORTS_SPLIT_FROM_RIGHT'>true</attribute>
+ <attribute datatype='integer' name='charset'>0</attribute>
+ <attribute datatype='string' name='collation'>&quot;binary&quot;</attribute>
+ <attribute datatype='string' name='datasource'>&quot;<![CDATA[<?xml version='1.0' encoding='utf-8' ?>
+
+<datasource :source-version='18.1' formatted-name='L2_vehicules' inline='true' version='18.1' xml:base='https://tableau.epfl.ch' xmlns:user='http://www.tableausoftware.com/xml/user'>
+ <document-format-change-manifest>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
+ <_.fcp.ObjectModelTableType.true...ObjectModelTableType />
+ <_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
+ </document-format-change-manifest>
+ <repository-location id='L2_vehicules' path='/datasources' revision='2.6' />
+ <connection channel='https' class='sqlproxy' dbname='L2_vehicules' directory='/dataserver' port='443' server='tableau.epfl.ch'>
+ <_.fcp.ObjectModelEncapsulateLegacy.false...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <cols>
+ <map key='[Number of Records]' value='[sqlproxy].[Number of Records]' />
+ <map key='[Speed limit [km/h]]]' value='[sqlproxy].[Speed limit [km/h]]]' />
+ <map key='[Station name]' value='[sqlproxy].[Station name]' />
+ <map key='[date and time [UTC]]]' value='[sqlproxy].[date and time [UTC]]]' />
+ <map key='[direction]' value='[sqlproxy].[direction]' />
+ <map key='[exceeded_speed]' value='[sqlproxy].[exceeded_speed]' />
+ <map key='[lat]' value='[sqlproxy].[lat]' />
+ <map key='[length [m]]]' value='[sqlproxy].[length [m]]]' />
+ <map key='[length_category]' value='[sqlproxy].[length_category]' />
+ <map key='[lon]' value='[sqlproxy].[lon]' />
+ <map key='[speed [km/h]]]' value='[sqlproxy].[speed [km/h]]]' />
+ <map key='[station]' value='[sqlproxy].[station]' />
+ </cols>
+ </connection>
+ <aliases enabled='yes' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_vehicules' datatype='table' default-type='quantitative' name='[__tableau_internal_object_id__].[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ <objects>
+ <object caption='L2_vehicules' id='L2_vehicules_56F8D9E054214BA9B919D061747AA1B8'>
+ <properties context=''>
+ <relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ </properties>
+ </object>
+ </objects>
+ </_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+</datasource>
+]]>&quot;</attribute>
+ <attribute datatype='string' name='dialect-definition'>&quot;<![CDATA[<dialect-definition>
+ <primary-dialect class='hyper' version='0.0.0'>
+ </primary-dialect>
+ <overlay-dialect-set>
+ <overlay-dialect class='vizengine' version='0.1.0'>
+ </overlay-dialect>
+ </overlay-dialect-set>
+</dialect-definition>
+]]>&quot;</attribute>
+ <attribute datatype='boolean' name='extract-active'>false</attribute>
+ <attribute datatype='boolean' name='fast-get-server-time'>true</attribute>
+ </attributes>
+ </metadata-record>
+ </metadata-records>
+ </connection>
+ <overridable-settings>
+ <date-options fiscal-year-start='january' start-of-week='sunday' />
+ <default-date-format />
+ <default-calendar-type>Gregorian</default-calendar-type>
+ </overridable-settings>
+ <aliases enabled='yes' />
+ <column caption='nb_days' datatype='integer' name='[Calculation_1509831832493752322]' role='measure' type='quantitative'>
+ <calculation class='tableau' formula='DATEDIFF(&apos;day&apos;, MIN(DATETRUNC(&apos;day&apos;, [date and time [UTC]]])), MAX(DATETRUNC(&apos;day&apos;, [date and time [UTC]]]))) + 1' />
+ </column>
+ <column caption='AVerage_count_per_day' datatype='real' name='[Calculation_1509831832494428163]' role='measure' type='quantitative'>
+ <calculation class='tableau' formula='COUNT([__tableau_internal_object_id__].[L2_vehicules_C744388161B1451098063728E3E346E1])/[Calculation_1509831832493752322]' />
+ </column>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[Speed limit [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_vehicules' datatype='table' default-type='quantitative' layered='true' name='[__tableau_internal_object_id__].[L2_vehicules_56F8D9E054214BA9B919D061747AA1B8]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_vehicules' datatype='table' default-type='quantitative' layered='true' name='[__tableau_internal_object_id__].[L2_vehicules_C744388161B1451098063728E3E346E1]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Count' datatype='boolean' default-type='nominal' layered='true' name='[exceeded_speed]' pivot='key' role='dimension' type='nominal' user-datatype='boolean' visual-totals='Default' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lat]' pivot='key' role='dimension' semantic-role='[Geographical].[Latitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[length [m]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lon]' pivot='key' role='dimension' semantic-role='[Geographical].[Longitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
+ <style>
+ <style-rule element='mark'>
+ <encoding attr='color' field='[none:Station name:nk]' type='palette'>
+ <map to='#4e79a7'>
+ <bucket>&quot;Croisement Allée de Savoie/RC1&quot;</bucket>
+ </map>
+ <map to='#59a14f'>
+ <bucket>&quot;Croisement Rte de la Sorge/Av. Piccard&quot;</bucket>
+ </map>
+ <map to='#76b7b2'>
+ <bucket>&quot;Croisement Rte de la Sorge/Av. Forel&quot;</bucket>
+ </map>
+ <map to='#b07aa1'>
+ <bucket>&quot;RLC Avenue Forel (sud)&quot;</bucket>
+ </map>
+ <map to='#e15759'>
+ <bucket>&quot;Croisement Rte de la Sorge/Av. du Tir-Fédéral&quot;</bucket>
+ </map>
+ <map to='#edc948'>
+ <bucket>&quot;Entrée du parking du RLC&quot;</bucket>
+ </map>
+ <map to='#f28e2b'>
+ <bucket>&quot;Croisement Av. Colladon/Av. Perronet&quot;</bucket>
+ </map>
+ </encoding>
+ </style-rule>
+ </style>
+ <semantic-values>
+ <semantic-value key='[Country].[Name]' value='&quot;France&quot;' />
+ </semantic-values>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ <objects>
+ <object caption='L2_vehicules' id='L2_vehicules_56F8D9E054214BA9B919D061747AA1B8'>
+ <properties context=''>
+ <relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ </properties>
+ </object>
+ </objects>
+ </_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ </datasource>
+ <datasource caption='L2_pietons_velos' inline='true' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' version='18.1'>
+ <repository-location id='L2_pietons_velos' path='/datasources' revision='2.4' />
+ <connection channel='https' class='sqlproxy' dbname='L2_pietons_velos' directory='/dataserver' port='443' server='tableau.epfl.ch' server-oauth='' username='' workgroup-auth-mode='prompt'>
+ <_.fcp.ObjectModelEncapsulateLegacy.false...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <calculations>
+ <calculation column='[Number of Records]' formula='1' />
+ </calculations>
+ <metadata-records>
+ <metadata-record class='measure'>
+ <remote-name>Classification</remote-name>
+ <remote-type>20</remote-type>
+ <local-name>[Classification]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Classification</remote-alias>
+ <ordinal>1</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>Classification_name</remote-name>
+ <remote-type>129</remote-type>
+ <local-name>[Classification_name]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Classification_name</remote-alias>
+ <ordinal>6</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>string</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <collation flag='0' name='binary' />
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>Date</remote-name>
+ <remote-type>135</remote-type>
+ <local-name>[Date]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Date</remote-alias>
+ <ordinal>0</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>datetime</local-type>
+ <aggregation>Year</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>1</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Headway</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[Headway]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Headway</remote-alias>
+ <ordinal>2</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Lane</remote-name>
+ <remote-type>20</remote-type>
+ <local-name>[Lane]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Lane</remote-alias>
+ <ordinal>3</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Number of Records</remote-name>
+ <remote-type>-1</remote-type>
+ <local-name>[Number of Records]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Number of Records</remote-alias>
+ <ordinal>14</ordinal>
+ <layered>true</layered>
+ <caption>Nombre d’enregistrements</caption>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ <attribute datatype='string' name='formula'>&quot;1&quot;</attribute>
+ </attributes>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Reverse</remote-name>
+ <remote-type>20</remote-type>
+ <local-name>[Reverse]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Reverse</remote-alias>
+ <ordinal>4</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>Speed limit [km/h]</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[Speed limit [km/h]]]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Speed limit [km/h]</remote-alias>
+ <ordinal>8</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='column'>
+ <remote-name>Station name</remote-name>
+ <remote-type>129</remote-type>
+ <local-name>[Station name]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>Station name</remote-alias>
+ <ordinal>7</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>string</local-type>
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <collation flag='0' name='binary' />
+ <attributes>
+ <attribute datatype='integer' name='field-type'>2</attribute>
+ <attribute datatype='integer' name='role'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>lat</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[lat]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>lat</remote-alias>
+ <ordinal>9</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>lon</remote-name>
+ <remote-type>5</remote-type>
+ <local-name>[lon]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>lon</remote-alias>
+ <ordinal>10</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>real</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='measure'>
+ <remote-name>station</remote-name>
+ <remote-type>20</remote-type>
+ <local-name>[station]</local-name>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias>station</remote-alias>
+ <ordinal>5</ordinal>
+ <layered>true</layered>
+ <family>L2_pietons_velos</family>
+ <local-type>integer</local-type>
+ <aggregation>Sum</aggregation>
+ <contains-null>false</contains-null>
+ <attributes>
+ <attribute datatype='integer' name='field-type'>0</attribute>
+ </attributes>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
+ </metadata-record>
+ <metadata-record class='capability'>
+ <remote-name />
+ <remote-type>0</remote-type>
+ <parent-name>[sqlproxy]</parent-name>
+ <remote-alias />
+ <aggregation>Count</aggregation>
+ <contains-null>true</contains-null>
+ <attributes>
+ <attribute datatype='boolean' name='CAP_CREATE_TEMP_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_ALWAYS_USE_LOCAL_MAPPING_TABLES'>false</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_PREFER_LOCAL_MAPPING_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_BLENDING_REMOTE_MAPPING_TABLES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_CASE_INSENSITIVE_CONTAINS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_IGNORE_HINT_CHECK_NOT_NULL'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SORT_BY'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUBQUERIES'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUBQUERY_QUERY_CONTEXT'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUPPORTS_LODJOINS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_SUPPORT_ANALYTIC_FUNCTIONS'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_TOP_N'>true</attribute>
+ <attribute datatype='boolean' name='CAP_QUERY_USE_QUERY_FUSION'>true</attribute>
+ <attribute datatype='boolean' name='CAP_SUPPORTS_SPLIT_FROM_LEFT'>true</attribute>
+ <attribute datatype='boolean' name='CAP_SUPPORTS_SPLIT_FROM_RIGHT'>true</attribute>
+ <attribute datatype='integer' name='charset'>0</attribute>
+ <attribute datatype='string' name='collation'>&quot;binary&quot;</attribute>
+ <attribute datatype='string' name='datasource'>&quot;<![CDATA[<?xml version='1.0' encoding='utf-8' ?>
+
+<datasource :source-version='18.1' formatted-name='L2_pietons_velos' inline='true' version='18.1' xml:base='https://tableau.epfl.ch' xmlns:user='http://www.tableausoftware.com/xml/user'>
+ <document-format-change-manifest>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
+ <_.fcp.ObjectModelTableType.true...ObjectModelTableType />
+ <_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
+ </document-format-change-manifest>
+ <repository-location id='L2_pietons_velos' path='/datasources' revision='2.4' />
+ <connection channel='https' class='sqlproxy' dbname='L2_pietons_velos' directory='/dataserver' port='443' server='tableau.epfl.ch'>
+ <_.fcp.ObjectModelEncapsulateLegacy.false...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ <cols>
+ <map key='[Classification]' value='[sqlproxy].[Classification]' />
+ <map key='[Classification_name]' value='[sqlproxy].[Classification_name]' />
+ <map key='[Date]' value='[sqlproxy].[Date]' />
+ <map key='[Headway]' value='[sqlproxy].[Headway]' />
+ <map key='[Lane]' value='[sqlproxy].[Lane]' />
+ <map key='[Number of Records]' value='[sqlproxy].[Number of Records]' />
+ <map key='[Reverse]' value='[sqlproxy].[Reverse]' />
+ <map key='[Speed limit [km/h]]]' value='[sqlproxy].[Speed limit [km/h]]]' />
+ <map key='[Station name]' value='[sqlproxy].[Station name]' />
+ <map key='[lat]' value='[sqlproxy].[lat]' />
+ <map key='[lon]' value='[sqlproxy].[lon]' />
+ <map key='[station]' value='[sqlproxy].[station]' />
+ </cols>
+ </connection>
+ <aliases enabled='yes' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_pietons_velos' datatype='table' default-type='quantitative' name='[__tableau_internal_object_id__].[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ <objects>
+ <object caption='L2_pietons_velos' id='L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC'>
+ <properties context=''>
+ <relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ </properties>
+ </object>
+ </objects>
+ </_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+</datasource>
+]]>&quot;</attribute>
+ <attribute datatype='string' name='dialect-definition'>&quot;<![CDATA[<dialect-definition>
+ <primary-dialect class='hyper' version='0.0.0'>
+ </primary-dialect>
+ <overlay-dialect-set>
+ <overlay-dialect class='vizengine' version='0.1.0'>
+ </overlay-dialect>
+ </overlay-dialect-set>
+</dialect-definition>
+]]>&quot;</attribute>
+ <attribute datatype='boolean' name='extract-active'>false</attribute>
+ <attribute datatype='boolean' name='fast-get-server-time'>true</attribute>
+ </attributes>
+ </metadata-record>
+ </metadata-records>
+ </connection>
+ <overridable-settings>
+ <date-options fiscal-year-start='january' start-of-week='sunday' />
+ <default-date-format />
+ <default-calendar-type>Gregorian</default-calendar-type>
+ </overridable-settings>
+ <aliases enabled='yes' />
+ <column aggregation='Count' datatype='integer' default-type='ordinal' layered='true' name='[Classification]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Classification_name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[Headway]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Lane]' pivot='key' role='measure' type='quantitative' user-datatype='integer' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Reverse]' pivot='key' role='measure' type='quantitative' user-datatype='integer' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[Speed limit [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_pietons_velos' datatype='table' default-type='quantitative' layered='true' name='[__tableau_internal_object_id__].[L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lat]' pivot='key' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lon]' pivot='key' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[station]' pivot='key' role='measure' type='quantitative' user-datatype='integer' visual-totals='Default' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
+ <style>
+ <style-rule element='mark'>
+ <encoding attr='color' field='[none:Station name:nk]' palette='EPFL_strategie' type='palette'>
+ <map to='#a5d7d5'>
+ <bucket>&quot;RLC Avenue Forel (sud)&quot;</bucket>
+ </map>
+ <map to='#a69dcd'>
+ <bucket>&quot;Metro EPFL&quot;</bucket>
+ </map>
+ <map to='#acd084'>
+ <bucket>&quot;Entrée du parking du RLC&quot;</bucket>
+ </map>
+ <map to='#f7ac6f'>
+ <bucket>&quot;Croisement Allée de Savoie/RC1&quot;</bucket>
+ </map>
+ <map to='#f7c9f7'>
+ <bucket>&quot;Croisement Rte de la Sorge/Av. des Arpenteurs&quot;</bucket>
+ </map>
+ </encoding>
+ </style-rule>
+ </style>
+ <semantic-values>
+ <semantic-value key='[Country].[Name]' value='&quot;France&quot;' />
+ </semantic-values>
+ <_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ <objects>
+ <object caption='L2_pietons_velos' id='L2_pietons_velos_ED6B5ACC65B24DCDBD11D4D2E40775EC'>
+ <properties context=''>
+ <relation name='sqlproxy' table='[sqlproxy]' type='table' />
+ </properties>
+ </object>
+ </objects>
+ </_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
+ </datasource>
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <worksheets>
+ <worksheet name='Average_hour_exceeded_speed (2)'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[Speed limit [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='boolean' default-type='nominal' layered='true' name='[exceeded_speed]' pivot='key' role='dimension' type='nominal' user-datatype='boolean' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Speed limit [km/h]]]' derivation='Min' name='[min:Speed limit [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column-instance column='[station]' derivation='None' name='[none:station:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[exceeded_speed]' derivation='Count' name='[pcto:cnt:exceeded_speed:qk]' pivot='key' type='quantitative'>
+ <table-calc ordering-type='Rows' type='PctTotal' />
+ </column-instance>
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]'>
+ <groupfilter from='1' function='range' level='[none:station:ok]' to='10' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style />
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]' />
+ <tooltip column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[min:Speed limit [km/h]]:qk]' />
+ </encodings>
+ <style>
+ <style-rule element='mark'>
+ <format attr='mark-labels-cull' value='true' />
+ <format attr='mark-labels-show' value='false' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[pcto:cnt:exceeded_speed:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</cols>
+ </table>
+ <simple-id uuid='{669F489A-707C-475E-A823-C3F3BF059B59}' />
+ </worksheet>
+ <worksheet name='Average_hour_speed'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column-instance column='[speed [km/h]]]' derivation='Avg' name='[avg:speed [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[station]' derivation='None' name='[none:station:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ </datasource-dependencies>
+ <aggregation value='true' />
+ </view>
+ <style />
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]' />
+ </encodings>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</cols>
+ </table>
+ <simple-id uuid='{941AAA6D-D776-44E4-8757-BCCA5E130515}' />
+ </worksheet>
+ <worksheet name='Log_speed_group'>
+ <layout-options>
+ <title>
+ <formatted-text>
+ <run>Repartition par groupe de vitesse
+</run>
+ </formatted-text>
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[station]' derivation='None' name='[none:station:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]'>
+ <groupfilter function='level-members' level='[none:Station name:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]'>
+ <groupfilter function='level-members' level='[none:station:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style />
+ <panes>
+ <pane id='3' selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Pie' />
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]</rows>
+ <cols />
+ </table>
+ <simple-id uuid='{EC738FEA-2667-4398-BFA5-A9A6E56004B3}' />
+ </worksheet>
+ <worksheet name='Map_average_per_day'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column caption='nb_days' datatype='integer' name='[Calculation_1509831832493752322]' role='measure' type='quantitative'>
+ <calculation class='tableau' formula='DATEDIFF(&apos;day&apos;, MIN(DATETRUNC(&apos;day&apos;, [date and time [UTC]]])), MAX(DATETRUNC(&apos;day&apos;, [date and time [UTC]]]))) + 1' />
+ </column>
+ <column caption='AVerage_count_per_day' datatype='real' name='[Calculation_1509831832494428163]' role='measure' type='quantitative'>
+ <calculation class='tableau' formula='COUNT([__tableau_internal_object_id__].[L2_vehicules_C744388161B1451098063728E3E346E1])/[Calculation_1509831832493752322]' />
+ </column>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <_.fcp.ObjectModelTableType.true...column aggregation='Count' caption='L2_vehicules' datatype='table' default-type='quantitative' layered='true' name='[__tableau_internal_object_id__].[L2_vehicules_C744388161B1451098063728E3E346E1]' pivot='key' role='measure' type='quantitative' user-datatype='table' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[length [m]]]' derivation='Avg' name='[avg:length [m]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[speed [km/h]]]' derivation='Avg' name='[avg:speed [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lat]' pivot='key' role='dimension' semantic-role='[Geographical].[Latitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[length [m]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lon]' pivot='key' role='dimension' semantic-role='[Geographical].[Longitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='MDY' name='[md:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Day-Trunc' name='[tdy:date and time [UTC]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Calculation_1509831832494428163]' derivation='User' name='[usr:Calculation_1509831832494428163:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[date and time [UTC]]]' derivation='Weekday' name='[wd:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' filter-group='7'>
+ <groupfilter function='level-members' level='[hr:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]'>
+ <groupfilter function='level-members' level='[none:direction:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' filter-group='6'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='quantitative' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' included-values='in-range'>
+ <min>#2023-02-07 00:00:00#</min>
+ <max>#2024-01-11 00:00:00#</max>
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]'>
+ <groupfilter function='level-members' level='[wd:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lon:qk]' field-type='quantitative' max='732572.63801300409' min='729837.84884193691' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lat:qk]' field-type='quantitative' max='5864882.5298481314' min='5863275.7560231229' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' value='# véhicules'>
+ <formatted-text>
+ <run># véhicules</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' value='# Véhicules'>
+ <formatted-text>
+ <run># Véhicules</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' value='Heure (UTC)'>
+ <formatted-text>
+ <run>Heure (UTC)</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' value='Catégorie de véhicule'>
+ <formatted-text>
+ <run>Catégorie de véhicule</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[md:date and time [UTC]]:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]' value='Jours (à selectionner seulement si Date=All)'>
+ <formatted-text>
+ <run>Jours (à selectionner seulement si Date=All)</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' />
+ <tooltip column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[usr:Calculation_1509831832494428163:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[usr:Calculation_1509831832494428163:qk]' />
+ <lod column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># Vehicules: &#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Average speed : </run>
+ <run bold='true' fontcolor='#000000'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]> km/h]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Average length: </run>
+ <run bold='true' fontcolor='#000000'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]> m]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <customized-label>
+ <formatted-text>
+ <run> &lt;</run>
+ <run>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[usr:Calculation_1509831832494428163:qk]</run>
+ <run>&gt; vehicles/day&#10;&lt;</run>
+ <run>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]</run>
+ <run>&gt; km/h&#10;&lt;</run>
+ <run>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]</run>
+ <run>&gt; m</run>
+ </formatted-text>
+ </customized-label>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ <format attr='mark-labels-show' value='true' />
+ <format attr='mark-labels-cull' value='true' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{C87CAAF5-72DF-4F57-9B40-BD8181FC91B8}' />
+ </worksheet>
+ <worksheet name='Map_count'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[length [m]]]' derivation='Avg' name='[avg:length [m]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[speed [km/h]]]' derivation='Avg' name='[avg:speed [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lat]' pivot='key' role='dimension' semantic-role='[Geographical].[Latitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[length [m]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lon]' pivot='key' role='dimension' semantic-role='[Geographical].[Longitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='MDY' name='[md:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Weekday' name='[wd:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' filter-group='7'>
+ <groupfilter function='level-members' level='[hr:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]'>
+ <groupfilter function='level-members' level='[none:direction:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' filter-group='6'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]'>
+ <groupfilter function='level-members' level='[wd:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lon:qk]' field-type='quantitative' max='732142.54986575153' min='729788.07567198831' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lat:qk]' field-type='quantitative' max='5864548.4601681391' min='5863482.4580896655' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' value='# véhicules'>
+ <formatted-text>
+ <run># véhicules</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' value='# Véhicules'>
+ <formatted-text>
+ <run># Véhicules</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' value='Heure (UTC)'>
+ <formatted-text>
+ <run>Heure (UTC)</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' value='Catégorie de véhicule'>
+ <formatted-text>
+ <run>Catégorie de véhicule</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[md:date and time [UTC]]:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]' value='Jours (à selectionner seulement si Date=All)'>
+ <formatted-text>
+ <run>Jours (à selectionner seulement si Date=All)</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]' />
+ <lod column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># Vehicules: &#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Average speed : </run>
+ <run bold='true' fontcolor='#000000'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]> km/h]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Average length: </run>
+ <run bold='true' fontcolor='#000000'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]> m]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <customized-label>
+ <formatted-text>
+ <run><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]>]]></run>
+ <run> km/h&#10;</run>
+ <run><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]>]]></run>
+ <run> m</run>
+ </formatted-text>
+ </customized-label>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ <format attr='mark-labels-show' value='true' />
+ <format attr='mark-labels-cull' value='true' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{B8C7B5CF-A697-450C-92D8-8969053995D4}' />
+ </worksheet>
+ <worksheet name='Map_length'>
+ <layout-options>
+ <title>
+ <formatted-text>
+ <run>Average length</run>
+ </formatted-text>
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[length [m]]]' derivation='Avg' name='[avg:length [m]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[speed [km/h]]]' derivation='Avg' name='[avg:speed [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lat]' pivot='key' role='dimension' semantic-role='[Geographical].[Latitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[length [m]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Count' datatype='real' default-type='ordinal' layered='true' name='[lon]' pivot='key' role='dimension' semantic-role='[Geographical].[Longitude]' type='ordinal' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[length [m]]]' derivation='Max' name='[max:length [m]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[date and time [UTC]]]' derivation='MDY' name='[md:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column-instance column='[station]' derivation='None' name='[none:station:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' filter-group='7'>
+ <groupfilter function='level-members' level='[hr:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[md:date and time [UTC]]:ok]'>
+ <groupfilter function='level-members' level='[md:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]'>
+ <groupfilter function='level-members' level='[none:direction:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' filter-group='6'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]'>
+ <groupfilter function='level-members' level='[none:station:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[md:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]' />
+ <size column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]' />
+ <text column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]' />
+ <lod column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]' />
+ <tooltip column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[max:length [m]]:qk]' />
+ <tooltip column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station name:&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># Véhicules:&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Avg. length (m):&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'>Max. length (m):&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[max:length [m]]:qk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#898989'>Avg. Speed (km/h):</run>
+ <run>Æ </run>
+ <run bold='true'><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]>]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <customized-label>
+ <formatted-text>
+ <run><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length [m]]:qk]>]]></run>
+ <run> m&#10;</run>
+ <run><![CDATA[<[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed [km/h]]:qk]>]]></run>
+ <run> km/h</run>
+ </formatted-text>
+ </customized-label>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='5.2842593193054199' />
+ <format attr='mark-labels-show' value='true' />
+ <format attr='mark-labels-cull' value='true' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{7C1802A4-216C-4E40-B0E9-AB40CC6B2AD6}' />
+ </worksheet>
+ <worksheet name='Vehicules_Count_by_day'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Number of Records]' derivation='Sum' name='[sum:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[date and time [UTC]]]' derivation='Day-Trunc' name='[tdy:date and time [UTC]]:qk]' pivot='key' type='quantitative' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' filter-group='7'>
+ <groupfilter function='level-members' level='[hr:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' filter-group='6'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' field-type='quantitative' min='#2023-02-04 06:43:26#' range-type='fixedmin' scope='cols' type='space' />
+ <format attr='title' class='0' field='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' scope='cols' value='' />
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[sum:Number of Records:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]</cols>
+ </table>
+ <simple-id uuid='{A4B1A2A2-55EF-4A90-90CC-BE9B3B57CF31}' />
+ </worksheet>
+ <worksheet name='Vehicules_Count_by_day_by_station'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[length [m]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[date and time [UTC]]]' derivation='None' name='[none:date and time [UTC]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length [m]]]' derivation='None' name='[none:length [m]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column-instance column='[speed [km/h]]]' derivation='None' name='[none:speed [km/h]]:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Sum' datatype='real' default-type='quantitative' layered='true' name='[speed [km/h]]]' pivot='key' role='measure' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Day-Trunc' name='[tdy:date and time [UTC]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[date and time [UTC]]]' derivation='Weekday' name='[wd:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]'>
+ <groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
+ <groupfilter function='level-members' level='[none:Station name:nk]' />
+ <groupfilter function='member' level='[none:Station name:nk]' member='%null%' />
+ </groupfilter>
+ </filter>
+ <filter class='quantitative' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:date and time [UTC]]:qk]' included-values='in-range'>
+ <min>#2023-02-07 10:27:47.044#</min>
+ <max>#2024-01-11 10:14:16.145#</max>
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]'>
+ <groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
+ <groupfilter function='level-members' level='[none:direction:nk]' />
+ <groupfilter function='member' level='[none:direction:nk]' member='%null%' />
+ </groupfilter>
+ </filter>
+ <filter class='quantitative' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length [m]]:qk]' included-values='in-range'>
+ <min>0.5</min>
+ <max>25.399999999999999</max>
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]'>
+ <groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
+ <groupfilter function='level-members' level='[none:length_category:nk]' />
+ <groupfilter function='empty-level' member='[none:length_category:nk]' />
+ </groupfilter>
+ </filter>
+ <filter class='quantitative' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:speed [km/h]]:qk]' included-values='in-range'>
+ <min>2.0</min>
+ <max>202.0</max>
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]'>
+ <groupfilter function='level-members' level='[wd:date and time [UTC]]:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:date and time [UTC]]:qk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length [m]]:qk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:speed [km/h]]:qk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style />
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]' />
+ </encodings>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]</cols>
+ </table>
+ <simple-id uuid='{290C8B25-1FCC-49E0-8720-E8D21CC92C54}' />
+ </worksheet>
+ <worksheet name='Vehicules_Speed repartition by station'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[station]' derivation='None' name='[none:station:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Sum' datatype='integer' default-type='ordinal' layered='true' name='[station]' pivot='key' role='dimension' type='ordinal' user-datatype='integer' visual-totals='Default' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]'>
+ <groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
+ <groupfilter function='level-members' level='[none:Station name:nk]' />
+ <groupfilter function='member' level='[none:Station name:nk]' member='%null%' />
+ </groupfilter>
+ </filter>
+ <filter class='categorical' column='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]'>
+ <groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
+ <groupfilter function='level-members' level='[none:direction:nk]' />
+ <groupfilter function='member' level='[none:direction:nk]' member='%null%' />
+ </groupfilter>
+ </filter>
+ <slices>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</column>
+ <column>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style />
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ </pane>
+ </panes>
+ <rows>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[cnt:Number of Records:qk]</rows>
+ <cols>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</cols>
+ </table>
+ <simple-id uuid='{10B9EDF2-444D-4CF4-AE7F-BE947638E00A}' />
+ </worksheet>
+ <worksheet name='map_pietons_ENG (2)'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Classification_name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Hour' name='[hr:Date:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lat]' pivot='key' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lon]' pivot='key' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[Date]' derivation='MDY' name='[md:Date:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Classification_name]' derivation='None' name='[none:Classification_name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[win:cnt:Number of Records:qk]' pivot='key' type='quantitative'>
+ <table-calc aggregation='Sum' from='-2' ordering-field='' ordering-type='Field' to='0' type='WindowTotal' window-options='IncludeCurrent' />
+ </column-instance>
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' filter-group='4'>
+ <groupfilter function='level-members' level='[hr:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' filter-group='3'>
+ <groupfilter function='member' level='[md:Date:ok]' member='20230512' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]'>
+ <groupfilter function='member' level='[none:Classification_name:nk]' member='&quot;pietons&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]' field-type='quantitative' max='732675.90208152775' min='730028.60963180673' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]' field-type='quantitative' max='5864765.7481887368' min='5863253.0095784143' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='mark'>
+ <encoding attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[win:cnt:Number of Records:qk]' palette='purple_10_0' type='interpolated' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value='# pedestrian'>
+ <formatted-text>
+ <run># pedestrian</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[win:cnt:Number of Records:qk]' value='# Pedestrian'>
+ <formatted-text>
+ <run># Pedestrian</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' value='Hours'>
+ <formatted-text>
+ <run>Hours</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[win:cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <lod column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># Pedestrian :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]>]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{D986982F-8A71-4F6A-ABDB-80A2CF3F072E}' />
+ </worksheet>
+ <worksheet name='map_pietons_FR (2)'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Classification_name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Hour' name='[hr:Date:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lat]' pivot='key' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lon]' pivot='key' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[Date]' derivation='MDY' name='[md:Date:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Classification_name]' derivation='None' name='[none:Classification_name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' filter-group='4'>
+ <groupfilter function='level-members' level='[hr:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' filter-group='5'>
+ <groupfilter function='level-members' level='[md:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]'>
+ <groupfilter function='member' level='[none:Classification_name:nk]' member='&quot;pietons&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]' field-type='quantitative' max='732675.90208152775' min='730028.60963180673' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]' field-type='quantitative' max='5864765.7481887368' min='5863253.0095784143' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='mark'>
+ <encoding attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' palette='purple_10_0' type='interpolated' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value='# Piétons&#10;'>
+ <formatted-text>
+ <run># Piétons&#10;</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value='# Piétons'>
+ <formatted-text>
+ <run># Piétons</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' value='Heures'>
+ <formatted-text>
+ <run>Heures</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <lod column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># piétons :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]>]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{6C822DE6-E6F5-4D69-91B8-4689319AB7E2}' />
+ </worksheet>
+ <worksheet name='map_velos_ENG (2)'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Classification_name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Hour' name='[hr:Date:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lat]' pivot='key' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lon]' pivot='key' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[Date]' derivation='MDY' name='[md:Date:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Classification_name]' derivation='None' name='[none:Classification_name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' filter-group='4'>
+ <groupfilter function='level-members' level='[hr:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' filter-group='3'>
+ <groupfilter function='member' level='[md:Date:ok]' member='20230512' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]'>
+ <groupfilter function='member' level='[none:Classification_name:nk]' member='&quot;velos&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]' field-type='quantitative' max='733633.34652298444' min='728459.18671819614' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]' field-type='quantitative' max='5864644.9295204384' min='5863504.1698826859' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value=' # bikes'>
+ <formatted-text>
+ <run> # bikes</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value='# bike'>
+ <formatted-text>
+ <run># bike</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <lod column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># bikes:&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]>]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{11359B81-78D0-4E37-ABA2-B1B3FB4D8BBF}' />
+ </worksheet>
+ <worksheet name='map_velos_FR (2)'>
+ <layout-options>
+ <title>
+ <formatted-text />
+ </title>
+ </layout-options>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <mapsources>
+ <mapsource name='Tableau' />
+ </mapsources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Classification_name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[Station name]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[lat]' derivation='Avg' name='[avg:lat:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[lon]' derivation='Avg' name='[avg:lon:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Hour' name='[hr:Date:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lat]' pivot='key' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column aggregation='Avg' datatype='real' default-type='quantitative' layered='true' name='[lon]' pivot='key' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' user-datatype='real' visual-totals='Default' />
+ <column-instance column='[Date]' derivation='MDY' name='[md:Date:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Classification_name]' derivation='None' name='[none:Classification_name:nk]' pivot='key' type='nominal' />
+ <column-instance column='[Station name]' derivation='None' name='[none:Station name:nk]' pivot='key' type='nominal' />
+ </datasource-dependencies>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' filter-group='4'>
+ <groupfilter function='level-members' level='[hr:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' filter-group='5'>
+ <groupfilter function='level-members' level='[md:Date:ok]' user:ui-enumeration='all' user:ui-marker='enumerate' />
+ </filter>
+ <filter class='categorical' column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]'>
+ <groupfilter function='member' level='[none:Classification_name:nk]' member='&quot;velos&quot;' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
+ </filter>
+ <slices>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</column>
+ <column>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]</column>
+ </slices>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]' field-type='quantitative' max='732675.90208152775' min='730028.60963180673' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]' field-type='quantitative' max='5864765.7481887368' min='5863253.0095784143' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
+ </style-rule>
+ <style-rule element='legend-title-text'>
+ <format attr='size' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value=' # Vélos'>
+ <formatted-text>
+ <run> # Vélos</run>
+ </formatted-text>
+ </format>
+ <format attr='color' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' value='# Vélos'>
+ <formatted-text>
+ <run># Vélos</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ <style-rule element='map-layer'>
+ <format attr='enabled' id='b01002_001e' value='false' />
+ <format attr='enabled' id='b01002_002e' value='false' />
+ <format attr='enabled' id='b01002_003e' value='false' />
+ <format attr='enabled' id='dp02_0001e' value='false' />
+ <format attr='enabled' id='dp02_0015e' value='false' />
+ <format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
+ <format attr='enabled' id='dp03_0028e' value='false' />
+ <format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
+ <format attr='enabled' id='dp03_0062e' value='false' />
+ <format attr='enabled' id='dp03_0088e' value='false' />
+ <format attr='enabled' id='dp04_0001e' value='false' />
+ <format attr='enabled' id='dp04_0046e' value='false' />
+ <format attr='enabled' id='dp04_0047e' value='false' />
+ <format attr='enabled' id='dp04_0089e' value='false' />
+ <format attr='enabled' id='dp05_0001e' value='false' />
+ <format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
+ <format attr='enabled' id='dp05_0032e' value='false' />
+ <format attr='enabled' id='dp05_0033e' value='false' />
+ <format attr='enabled' id='dp05_0034e' value='false' />
+ <format attr='enabled' id='dp05_0039e' value='false' />
+ <format attr='enabled' id='dp05_0047e' value='false' />
+ <format attr='enabled' id='dp05_0053e' value='false' />
+ <format attr='enabled' id='dp05_0066e' value='false' />
+ <format attr='enabled' id='dp05_0077e' value='false' />
+ </style-rule>
+ <style-rule element='map'>
+ <format attr='washout' value='0' />
+ <format attr='map-style' value='streets' />
+ </style-rule>
+ <style-rule element='map-data-layer'>
+ <format attr='palette' value='tableau-map-blue-green-light' />
+ <format attr='geo-area-type' value='State' />
+ </style-rule>
+ <style-rule element='quick-filter'>
+ <format attr='title' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' value='Date'>
+ <formatted-text>
+ <run>Date</run>
+ </formatted-text>
+ </format>
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ <encodings>
+ <color column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <size column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' />
+ <lod column='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]' />
+ </encodings>
+ <customized-tooltip>
+ <formatted-text>
+ <run fontcolor='#787878'>Station :&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]>]]></run>
+ <run>Æ&#10;</run>
+ <run fontcolor='#787878'># vélos:&#9;</run>
+ <run bold='true'><![CDATA[<[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]>]]></run>
+ </formatted-text>
+ </customized-tooltip>
+ <style>
+ <style-rule element='mark'>
+ <format attr='size' value='6.1170368194580078' />
+ </style-rule>
+ </style>
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lat:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[avg:lon:qk]</cols>
+ </table>
+ <simple-id uuid='{22B826D5-4EEC-4D26-8211-746F7E8B1475}' />
+ </worksheet>
+ <worksheet name='passages_ENG (2)'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Day-Trunc' name='[tdy:Date:qk]' pivot='key' type='quantitative' />
+ </datasource-dependencies>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <format attr='title' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' scope='rows' value='' />
+ <format attr='title' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]' scope='cols' value='' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]' field-type='quantitative' max='#2023-07-19 05:08:25.575#' min='#2023-02-20 18:51:34#' range-type='fixed' scope='cols' type='space' />
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]</cols>
+ </table>
+ <simple-id uuid='{1A9DEED8-12D8-4944-968E-883412D39361}' />
+ </worksheet>
+ <worksheet name='passages_FR (2)'>
+ <table>
+ <view>
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Sum' datatype='integer' default-type='quantitative' layered='true' name='[Number of Records]' pivot='key' role='measure' type='quantitative' user-datatype='integer' user:auto-column='numrec' visual-totals='Default'>
+ <calculation class='tableau' formula='1' />
+ </column>
+ <column-instance column='[Number of Records]' derivation='Count' name='[cnt:Number of Records:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[Date]' derivation='Day-Trunc' name='[tdy:Date:qk]' pivot='key' type='quantitative' />
+ </datasource-dependencies>
+ <aggregation value='true' />
+ </view>
+ <style>
+ <style-rule element='axis'>
+ <format attr='title' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' scope='rows' value='' />
+ <format attr='title' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]' scope='cols' value='' />
+ <encoding attr='space' class='0' field='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]' field-type='quantitative' max='#2023-07-19 05:08:25.575#' min='#2023-02-20 18:51:34#' range-type='fixed' scope='cols' type='space' />
+ </style-rule>
+ </style>
+ <panes>
+ <pane selection-relaxation-option='selection-relaxation-allow'>
+ <view>
+ <breakdown value='auto' />
+ </view>
+ <mark class='Automatic' />
+ </pane>
+ </panes>
+ <rows>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]</rows>
+ <cols>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[tdy:Date:qk]</cols>
+ </table>
+ <simple-id uuid='{3C7924C5-6E59-4B70-A811-8F47B5351A7D}' />
+ </worksheet>
+ </worksheets>
+ <dashboards>
+ <dashboard _.fcp.AccessibleZoneTabOrder.true...enable-sort-zone-taborder='true' name='Map_avg_per_day'>
+ <style />
+ <size sizing-mode='automatic' />
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ <column-instance column='[date and time [UTC]]]' derivation='Day-Trunc' name='[tdy:date and time [UTC]]:qk]' pivot='key' type='quantitative' />
+ <column-instance column='[date and time [UTC]]]' derivation='Weekday' name='[wd:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ </datasource-dependencies>
+ <zones>
+ <zone h='100000' id='4' type-v2='layout-basic' w='100000' x='0' y='0'>
+ <zone h='98734' id='7' param='horz' type-v2='layout-flow' w='99318' x='341' y='633'>
+ <zone h='98734' id='5' type-v2='layout-basic' w='92507' x='341' y='633'>
+ <zone h='98734' id='3' name='Map_average_per_day' w='92507' x='341' y='633'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ </zone>
+ <zone fixed-size='160' h='98734' id='6' is-fixed='true' param='vert' type-v2='layout-flow' w='6811' x='92848' y='633'>
+ <zone h='2057' id='8' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' show-domain='false' show-null-ctrls='false' type-v2='filter' w='6811' x='92848' y='633'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='9' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]' type-v2='filter' w='6811' x='92848' y='2690'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='10' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]' type-v2='filter' w='6811' x='92848' y='4747'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='11' mode='checkdropdown' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' type-v2='filter' w='6811' x='92848' y='6804'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ <zone h='633' id='12' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' show-title='false' type-v2='filter' w='6811' x='92848' y='8861'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ </zone-style>
+ </zone>
+ </zone>
+ </zone>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='8' />
+ </zone-style>
+ </zone>
+ </zones>
+ <devicelayouts>
+ <devicelayout auto-generated='true' name='Phone'>
+ <size maxheight='700' minheight='700' sizing-mode='vscroll' />
+ <zones>
+ <zone h='100000' id='20' type-v2='layout-basic' w='100000' x='0' y='0'>
+ <zone h='98734' id='19' param='vert' type-v2='layout-flow' w='99318' x='341' y='633'>
+ <zone h='2057' id='8' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[tdy:date and time [UTC]]:qk]' show-domain='false' show-null-ctrls='false' type-v2='filter' w='6811' x='92848' y='633'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ <format attr='padding' value='0' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='9' mode='checkdropdown' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]' type-v2='filter' w='6811' x='92848' y='2690'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ <format attr='padding' value='0' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='10' mode='checkdropdown' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]' type-v2='filter' w='6811' x='92848' y='4747'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ <format attr='padding' value='0' />
+ </zone-style>
+ </zone>
+ <zone h='2057' id='11' mode='checkdropdown' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' type-v2='filter' w='6811' x='92848' y='6804'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ <format attr='padding' value='0' />
+ </zone-style>
+ </zone>
+ <zone h='633' id='12' mode='checkdropdown' name='Map_average_per_day' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' show-title='false' type-v2='filter' w='6811' x='92848' y='8861'>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
+ <format attr='border-style' value='none' />
+ <format attr='border-width' value='0' />
+ <format attr='margin' value='4' />
+ <format attr='padding' value='0' />
+ </zone-style>
+ </zone>
+ <zone fixed-size='280' h='98734' id='3' is-fixed='true' name='Map_average_per_day' w='92507' x='341' y='633'>
+ <zone-style>
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+ </devicelayouts>
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+ </dashboard>
+ <dashboard _.fcp.AccessibleZoneTabOrder.true...enable-sort-zone-taborder='true' name='Map_vehicules_FR'>
+ <style />
+ <size sizing-mode='automatic' />
+ <datasources>
+ <datasource caption='L2_vehicules' name='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2'>
+ <column aggregation='Count' datatype='datetime' default-type='ordinal' layered='true' name='[date and time [UTC]]]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[direction]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='Hour' name='[hr:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column aggregation='Count' datatype='string' default-type='nominal' layered='true' name='[length_category]' pivot='key' role='dimension' type='nominal' user-datatype='string' visual-totals='Default' />
+ <column-instance column='[date and time [UTC]]]' derivation='MDY' name='[md:date and time [UTC]]:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[direction]' derivation='None' name='[none:direction:nk]' pivot='key' type='nominal' />
+ <column-instance column='[length_category]' derivation='None' name='[none:length_category:nk]' pivot='key' type='nominal' />
+ </datasource-dependencies>
+ <zones>
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+ </zone>
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+ </zone>
+ <zone h='7041' id='54' name='Map_count' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]' type-v2='filter' values='database' w='6811' x='92848' y='63286'>
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+ </zone>
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+ <zone-style>
+ <format attr='border-color' value='#000000' />
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+ <formatted-text>
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+ </zone>
+ </zones>
+ <devicelayouts>
+ <devicelayout auto-generated='true' name='Phone'>
+ <size maxheight='850' minheight='850' sizing-mode='vscroll' />
+ <zones>
+ <zone h='100000' id='74' type-v2='layout-basic' w='100000' x='0' y='0'>
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+ <zone forceUpdate='true' h='4719' id='33' type-v2='text' w='99318' x='341' y='633'>
+ <formatted-text>
+ <run fontcolor='#555555' fontsize='20'>Affluence des véhicules à l&apos;EPFL</run>
+ </formatted-text>
+ <zone-style>
+ <format attr='border-color' value='#000000' />
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+ </zone>
+ <zone h='13054' id='10' mode='checkdropdown' name='Map_count' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' type-v2='filter' w='6811' x='92848' y='46118'>
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+ </zone>
+ <zone h='4114' id='8' mode='checkdropdown' name='Map_count' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' type-v2='filter' w='6811' x='92848' y='59172'>
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+ <format attr='padding' value='0' />
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+ </zone>
+ </zones>
+ </devicelayout>
+ </devicelayouts>
+ <simple-id uuid='{931025CD-EEE0-4CEB-AA30-281EB11EB6FA}' />
+ </dashboard>
+ <dashboard _.fcp.AccessibleZoneTabOrder.true...enable-sort-zone-taborder='true' name='map_ENG_pedestr_bike'>
+ <style />
+ <size sizing-mode='automatic' />
+ <datasources>
+ <datasource caption='L2_pietons_velos' name='sqlproxy.1nrrg261jt6r40156twr01vx3rtg' />
+ </datasources>
+ <datasource-dependencies datasource='sqlproxy.1nrrg261jt6r40156twr01vx3rtg'>
+ <column aggregation='Year' datatype='datetime' default-type='ordinal' layered='true' name='[Date]' pivot='key' role='dimension' type='ordinal' user-datatype='datetime' visual-totals='Default' />
+ <column-instance column='[Date]' derivation='Hour' name='[hr:Date:ok]' pivot='key' type='ordinal' />
+ <column-instance column='[Date]' derivation='MDY' name='[md:Date:ok]' pivot='key' type='ordinal' />
+ </datasource-dependencies>
+ <zones>
+ <zone h='100000' id='4' type-v2='layout-basic' w='100000' x='0' y='0'>
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+ </zone>
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+ <zone-style>
+ <format attr='border-color' value='#000000' />
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+ <zone h='7938' id='8' mode='slider' name='map_pietons_ENG (2)' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' type-v2='filter' w='88644' x='2272' y='5298'>
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+ <format attr='border-color' value='#000000' />
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+ <zone h='5142' id='13' name='map_velos_ENG (2)' pane-specification-id='0' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' type-v2='color' w='6811' x='92848' y='64084'>
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+ <formatted-text>
+ <run fontcolor='#555555' fontsize='22'>Bike and pedestrian traffic at EPFL</run>
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+ </zones>
+ <devicelayouts>
+ <devicelayout auto-generated='true' name='Phone'>
+ <size maxheight='1200' minheight='1200' sizing-mode='vscroll' />
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+ <zone forceUpdate='true' h='4665' id='50' type-v2='text' w='99318' x='341' y='633'>
+ <formatted-text>
+ <run fontcolor='#555555' fontsize='22'>Bike and pedestrian traffic at EPFL</run>
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+ <format attr='border-color' value='#000000' />
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+ <zone h='7938' id='8' mode='slider' name='map_pietons_ENG (2)' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' type-v2='filter' w='88644' x='2272' y='5298'>
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+ <window class='worksheet' name='Map_length'>
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+ <card mode='checkdropdown' param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[hr:date and time [UTC]]:ok]' type='filter' />
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+ <card param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]' type='filter' />
+ <card param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]' type='filter' />
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+ <highlight>
+ <color-one-way>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:length (m):qk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[avg:speed (km/h):qk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</field>
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+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</field>
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+ <simple-id uuid='{1D8F9C2E-ECD2-47F5-9D70-CF4AA9ACE8BD}' />
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+ <window class='worksheet' name='Vehicules_Count_by_day_by_station'>
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+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:date and time (UTC):qk]</field>
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+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:length_category:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:speed [km/h]]:qk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[wd:date and time [UTC]]:ok]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[yr:date and time (UTC):ok]</field>
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+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[yr:date and time (UTC):ok]</field>
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+ <simple-id uuid='{BD062AA5-4155-4296-8D4F-6100638775E8}' />
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+ <window class='worksheet' name='Vehicules_Speed repartition by station'>
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+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:direction:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[speed (km/h) (group)]</field>
+ </color-one-way>
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+ <simple-id uuid='{69D3762A-D01F-47AC-A9A3-15CBF19B6702}' />
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+ <window class='worksheet' name='Log_speed_group'>
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+ <card param='[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]' type='filter' />
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+ <color-one-way>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Calculation_1717841827996880896:qk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:Station name:nk]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[none:station:ok]</field>
+ <field>[sqlproxy.0qo2yp60yia2we13a4lzi1h0mnc2].[speed (km/h) (group)]</field>
+ </color-one-way>
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+ </viewpoint>
+ <simple-id uuid='{27B91846-C6D4-41A9-8CE4-0E49A7566B13}' />
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+ <window class='worksheet' name='map_pietons_ENG (2)'>
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+ <card mode='slider' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' type='filter' />
+ <card mode='checkdropdown' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' type='filter' />
+ <card pane-specification-id='0' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[win:cnt:Number of Records:qk]' type='color' />
+ <card pane-specification-id='0' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[cnt:Number of Records:qk]' type='size' />
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</field>
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Classification_name:nk]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Date:ok]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[win:cnt:L2_pietons_velos.csv_C44FD4C75EEC44618716E3D58DC0E482:qk:1]</field>
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+ <simple-id uuid='{B37BAD0D-26A9-4458-AAC2-F1B4847B6D24}' />
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+ <card mode='checkdropdown' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' type='filter' />
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[__tableau_internal_object_id__].[cnt:L2_pietons_velos.csv_C44FD4C75EEC44618716E3D58DC0E482:qk]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</field>
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]</field>
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+ <card mode='checkdropdown' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' type='filter' />
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[__tableau_internal_object_id__].[cnt:L2_pietons_velos.csv_C44FD4C75EEC44618716E3D58DC0E482:qk]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]</field>
+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]</field>
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[none:Station name:nk]</field>
+ </color-one-way>
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+ <simple-id uuid='{58611E29-EBEE-47A8-9124-DC4AA632A8FD}' />
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+ <window class='worksheet' name='map_velos_FR (2)'>
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+ <card mode='slider' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[md:Date:ok]' type='filter' />
+ <card mode='checkdropdown' param='[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[hr:Date:ok]' type='filter' />
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+ <field>[sqlproxy.1nrrg261jt6r40156twr01vx3rtg].[__tableau_internal_object_id__].[cnt:L2_pietons_velos.csv_C44FD4C75EEC44618716E3D58DC0E482:qk]</field>
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+ </thumbnail>
+ <thumbnail height='192' name='Vehicules_Count_by_day' width='192'>
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diff --git a/data/.DS_Store b/data/.DS_Store
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index 0000000..be9259d
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diff --git a/data/Stations_input.xlsx b/data/Stations_input.xlsx
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index 0000000..5d07a67
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diff --git a/data/processed_files.txt b/data/processed_files.txt
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index 0000000..002b170
--- /dev/null
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diff --git a/log.txt b/log.txt
new file mode 100644
index 0000000..62064e2
--- /dev/null
+++ b/log.txt
@@ -0,0 +1,2 @@
+Date: 2024-04-23 10:26:32.453621
+Folders: ['data/Brute/Site_01/', 'data/Brute/Site_02/', 'data/Brute/Site_03/', 'data/Brute/Site_04/', 'data/Brute/Site_05/', 'data/Brute/Site_06/', 'data/Brute/Site_07/', 'data/Brute/Site_08/', 'data/Brute/Site_09/', 'data/Brute/Site_10/']
diff --git a/notebooks/compteurs_velo_pietons.ipynb b/notebooks/compteurs_velo_pietons.ipynb
new file mode 100644
index 0000000..ee4d79f
--- /dev/null
+++ b/notebooks/compteurs_velo_pietons.ipynb
@@ -0,0 +1,1301 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import glob"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "path = r\"Z:\\42-DUR-MOB-E-E\\42.05-Mobilite\\42.05.01-Aff-en-cours\\06-Comptages\\Compteurs-ACET\\Data\\Site-10\\Pietons-velos/\"\n",
+ "files = glob.glob(path+\"*.csv\")\n",
+ "#Read multiple files and concatenate them\n",
+ "df = pd.read_csv(files[0], sep=\",\", decimal=\",\", encoding=\"latin-1\", skiprows=4)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#open and concatenate all files of files\n",
+ "df = pd.DataFrame()\n",
+ "for file in files[0:3]:\n",
+ " df_concat = pd.concat([df, pd.read_csv(file, sep=\",\", decimal=\",\", encoding=\"latin-1\", skiprows=4)], axis=0)\n",
+ " df = df_concat\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "8882.696629213482"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "79056/8.9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = df_concat\n",
+ "#Set Date as index\n",
+ "df[\"Date\"] = pd.to_datetime(df[\"Date\"] + \" \" + df[\"Time\"], format=\"%d.%m.%Y %H:%M:%S\")\n",
+ "df = df.set_index(\"Date\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Filter weekend of df[\"Date\"]\n",
+ "df = df[df.index.dayofweek < 5]\n",
+ "#Only pietons (classification==1)\n",
+ "df = df[df[\"Classification\"]==1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>Time</th>\n",
+ " <th>Classification</th>\n",
+ " <th>Headway</th>\n",
+ " <th>Lane</th>\n",
+ " <th>Reverse</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Date</th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " <th></th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>2023-02-21 14:13:45</th>\n",
+ " <td>14:13:45</td>\n",
+ " <td>2</td>\n",
+ " <td>11.3</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-02-21 14:15:33</th>\n",
+ " <td>14:15:33</td>\n",
+ " <td>2</td>\n",
+ " <td>60.9</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-02-21 14:15:33</th>\n",
+ " <td>14:15:33</td>\n",
+ " <td>2</td>\n",
+ " <td>0.3</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-02-21 14:15:34</th>\n",
+ " <td>14:15:34</td>\n",
+ " <td>2</td>\n",
+ " <td>0.5</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-02-21 14:15:34</th>\n",
+ " <td>14:15:34</td>\n",
+ " <td>2</td>\n",
+ " <td>0.7</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-03-24 23:44:24</th>\n",
+ " <td>23:44:24</td>\n",
+ " <td>2</td>\n",
+ " <td>0.5</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-03-24 23:44:25</th>\n",
+ " <td>23:44:25</td>\n",
+ " <td>2</td>\n",
+ " <td>0.8</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-03-24 23:58:02</th>\n",
+ " <td>23:58:02</td>\n",
+ " <td>2</td>\n",
+ " <td>816.9</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-03-24 23:58:03</th>\n",
+ " <td>23:58:03</td>\n",
+ " <td>2</td>\n",
+ " <td>0.5</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2023-03-24 23:58:04</th>\n",
+ " <td>23:58:04</td>\n",
+ " <td>2</td>\n",
+ " <td>1.2</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5898 rows × 5 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " Time Classification Headway Lane Reverse\n",
+ "Date \n",
+ "2023-02-21 14:13:45 14:13:45 2 11.3 1 0\n",
+ "2023-02-21 14:15:33 14:15:33 2 60.9 1 0\n",
+ "2023-02-21 14:15:33 14:15:33 2 0.3 1 0\n",
+ "2023-02-21 14:15:34 14:15:34 2 0.5 1 0\n",
+ "2023-02-21 14:15:34 14:15:34 2 0.7 1 0\n",
+ "... ... ... ... ... ...\n",
+ "2023-03-24 23:44:24 23:44:24 2 0.5 1 0\n",
+ "2023-03-24 23:44:25 23:44:25 2 0.8 1 0\n",
+ "2023-03-24 23:58:02 23:58:02 2 816.9 1 0\n",
+ "2023-03-24 23:58:03 23:58:03 2 0.5 1 0\n",
+ "2023-03-24 23:58:04 23:58:04 2 1.2 1 0\n",
+ "\n",
+ "[5898 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Group by hour \n",
+ "df_grouped = df.groupby(pd.Grouper(freq=\"H\")).count()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Mean of each hour\n",
+ "df_mean = df_grouped.groupby(df_grouped.index.hour).mean()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "count_hours = df_mean[\"Time\"]\n"
+ ]
+ },
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+ "zaxis": {
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+ "gridcolor": "white",
+ "linecolor": "white",
+ "ticks": ""
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+ "baxis": {
+ "gridcolor": "white",
+ "linecolor": "white",
+ "ticks": ""
+ },
+ "bgcolor": "#E5ECF6",
+ "caxis": {
+ "gridcolor": "white",
+ "linecolor": "white",
+ "ticks": ""
+ }
+ },
+ "title": {
+ "x": 0.05
+ },
+ "xaxis": {
+ "automargin": true,
+ "gridcolor": "white",
+ "linecolor": "white",
+ "ticks": "",
+ "title": {
+ "standoff": 15
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+ "automargin": true,
+ "gridcolor": "white",
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+ "title": {
+ "standoff": 15
+ },
+ "zerolinecolor": "white",
+ "zerolinewidth": 2
+ }
+ }
+ },
+ "title": {
+ "text": "Nombre piétons Metro EPFL par heure en moyenne du 21/02/23 au 26/03/23"
+ },
+ "xaxis": {
+ "tickmode": "array",
+ "tickvals": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8,
+ 9,
+ 10,
+ 11,
+ 12,
+ 13,
+ 14,
+ 15,
+ 16,
+ 17,
+ 18,
+ 19,
+ 20,
+ 21,
+ 22,
+ 23
+ ],
+ "title": {
+ "text": "Heure"
+ }
+ },
+ "yaxis": {
+ "title": {
+ "text": "# de piétons"
+ }
+ }
+ }
+ }
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#PLot using plotly count_hours, bar chart\n",
+ "import plotly.graph_objects as go\n",
+ "fig = go.Figure()\n",
+ "fig.add_trace(go.Bar(x=count_hours.index, y=count_hours.values))\n",
+ "#Add title, xaxis and yaxis label, legend and hover data\n",
+ "fig.update_layout(title=\"Nombre piétons Metro EPFL par heure en moyenne du 21/02/23 au 26/03/23\", xaxis_title=\"Heure\", yaxis_title=\"# de piétons\")\n",
+ "#Increase xtick every hour\n",
+ "fig.update_xaxes(tickmode = 'array', tickvals = np.arange(0, 24, 1))\n",
+ "#Show fi\n",
+ "fig.show()\n",
+ "#Save figure\n",
+ "fig.write_html(\"../Ressources/Nombre_pietons_par_heure_en_moyenne_du_21_02_23_au_26_03_23.html\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Date\n",
+ "0 11.129032\n",
+ "1 1.774194\n",
+ "2 0.677419\n",
+ "3 0.741935\n",
+ "4 0.419355\n",
+ "5 0.548387\n",
+ "6 15.354839\n",
+ "7 310.870968\n",
+ "8 910.967742\n",
+ "9 715.387097\n",
+ "10 499.290323\n",
+ "11 461.193548\n",
+ "12 994.129032\n",
+ "13 639.156250\n",
+ "14 406.500000\n",
+ "15 449.281250\n",
+ "16 565.906250\n",
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+ "18 780.406250\n",
+ "19 558.156250\n",
+ "20 193.031250\n",
+ "21 118.031250\n",
+ "22 68.531250\n",
+ "23 42.625000\n",
+ "Name: Time, dtype: float64"
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "https://citecdev.maps.arcgis.com/apps/webappviewer/index.html?id=b660133b3d044b7c89f0e5eedaf1d5db"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
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+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "VPT",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.8"
+ },
+ "orig_nbformat": 4,
+ "vscode": {
+ "interpreter": {
+ "hash": "6758a11adffad33e01134c7e3192a9fa0f9568c56c27f5ab37b61f53e2be5cef"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/map_compteurs.ipynb b/notebooks/map_compteurs.ipynb
new file mode 100644
index 0000000..e251cfd
--- /dev/null
+++ b/notebooks/map_compteurs.ipynb
@@ -0,0 +1,307 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from comptage import comptage\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import plotly.express as px\n",
+ "import glob\n",
+ "import plotly.graph_objects as go"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:25: DtypeWarning: Columns (0,1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+ " station_name = pd.read_csv(file, delimiter=';').columns[0]\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n",
+ "c:\\Users\\cruz\\Desktop\\Projects\\Mobilité\\pendulaire\\Comptage\\scripts\\comptage.py:46: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+ " df_station=df_station.append(df)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(1, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-23 13:42:55.730 27 3.8 Sortante 1\n",
+ "2022-11-23 13:43:14.770 25 5.5 Sortante 1\n",
+ "2022-11-23 13:44:09.550 28 3.8 Sortante 1\n",
+ "2022-11-23 13:44:13.960 27 3.7 Sortante 1\n",
+ "2022-11-23 13:44:19.260 40 3.7 Sortante 1\n",
+ "... ... ... ... ...\n",
+ "2022-12-15 09:23:37.010 30 5.4 Sortante 1\n",
+ "2022-12-15 09:23:52.700 31 6.1 Sortante 1\n",
+ "2022-12-15 09:23:57.160 23 1.3 Sortante 1\n",
+ "2022-12-15 09:24:20.510 23 2.3 Sortante 1\n",
+ "2022-12-15 09:24:23.060 38 2.7 Sortante 1\n",
+ "\n",
+ "[56222 rows x 4 columns])\n",
+ "(2, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-10 10:33:40.580 49 4.4 Entrante 2\n",
+ "2022-11-10 10:34:31.870 45 3.0 Entrante 2\n",
+ "2022-11-10 10:34:40.260 40 4.0 Sortante 2\n",
+ "2022-11-10 10:35:06.290 41 7.1 Sortante 2\n",
+ "2022-11-10 10:35:19.520 36 4.4 Sortante 2\n",
+ "... ... ... ... ...\n",
+ "2022-12-15 10:38:56.940 38 3.9 Entrante 2\n",
+ "2022-12-15 10:38:58.400 42 4.8 Entrante 2\n",
+ "2022-12-15 10:39:10.940 52 4.5 Sortante 2\n",
+ "2022-12-15 10:39:28.330 48 5.3 Sortante 2\n",
+ "2022-12-15 10:39:38.650 42 4.4 Entrante 2\n",
+ "\n",
+ "[126452 rows x 4 columns])\n",
+ "(5, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-10-13 15:11:40.560 33 3.4 Entrante 5\n",
+ "2022-10-13 15:11:44.690 22 10.0 Sortante 5\n",
+ "2022-10-13 15:12:01.420 28 4.8 Entrante 5\n",
+ "2022-10-13 15:12:32.310 36 4.8 Entrante 5\n",
+ "2022-10-13 15:12:38.610 18 5.3 Entrante 5\n",
+ "... ... ... ... ...\n",
+ "2018-03-04 19:48:08.930 26 5.7 Sortante 5\n",
+ "2018-03-04 19:48:10.490 27 5.3 Sortante 5\n",
+ "2018-03-04 19:48:19.670 44 4.2 Sortante 5\n",
+ "2018-03-04 19:48:29.110 37 4.4 Entrante 5\n",
+ "2018-03-04 19:48:34.860 30 6.2 Sortante 5\n",
+ "\n",
+ "[252099 rows x 4 columns])\n",
+ "(6, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-18 11:27:20.670 21 4.6 Entrante 6\n",
+ "2022-11-18 11:27:26.190 14 4.1 Entrante 6\n",
+ "2022-11-18 11:27:32.230 16 3.8 Sortante 6\n",
+ "2022-11-18 11:27:34.170 14 3.4 Sortante 6\n",
+ "2022-11-18 11:27:39.080 18 0.9 Sortante 6\n",
+ "... ... ... ... ...\n",
+ "2022-12-15 10:10:31.170 5 0.8 Entrante 6\n",
+ "2022-12-15 10:11:09.380 6 0.7 Sortante 6\n",
+ "2022-12-15 10:12:03.290 15 2.4 Entrante 6\n",
+ "2022-12-15 10:12:19.200 20 4.1 Entrante 6\n",
+ "2022-12-15 10:12:23.360 19 4.5 Entrante 6\n",
+ "\n",
+ "[60518 rows x 4 columns])\n",
+ "(7, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-23 14:01:32.900 27 3.8 Sortante 7\n",
+ "2022-11-23 14:02:20.400 39 5.5 Entrante 7\n",
+ "2022-11-23 14:02:32.930 34 7.9 Entrante 7\n",
+ "2022-11-23 14:03:09.650 21 2.9 Sortante 7\n",
+ "2022-11-23 14:03:23.000 31 9.4 Entrante 7\n",
+ "... ... ... ... ...\n",
+ "2022-12-15 10:00:25.920 34 8.7 Entrante 7\n",
+ "2022-12-15 10:01:02.150 25 1.7 Sortante 7\n",
+ "2022-12-15 10:01:27.610 30 1.5 Entrante 7\n",
+ "2022-12-15 10:01:33.400 40 8.0 Entrante 7\n",
+ "2022-12-15 10:01:35.500 35 9.7 Entrante 7\n",
+ "\n",
+ "[63350 rows x 4 columns])\n",
+ "(8, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-18 11:07:03.150 20 0.6 Entrante 8\n",
+ "2022-11-18 11:08:46.970 24 4.6 Sortante 8\n",
+ "2018-01-01 00:10:04.940 22 0.8 Entrante 8\n",
+ "2018-01-01 00:10:27.590 15 4.2 Entrante 8\n",
+ "2018-01-01 00:10:57.180 16 3.6 Entrante 8\n",
+ "... ... ... ... ...\n",
+ "2018-01-27 22:49:40.390 27 5.3 Sortante 8\n",
+ "2018-01-27 22:50:21.050 24 5.2 Sortante 8\n",
+ "2018-01-27 22:50:30.460 28 5.0 Sortante 8\n",
+ "2018-01-27 22:51:56.630 26 5.4 Sortante 8\n",
+ "2018-01-27 22:51:59.860 22 5.7 Sortante 8\n",
+ "\n",
+ "[25832 rows x 4 columns])\n",
+ "(10, Speed (km/h) Length (m) Direction station_nb\n",
+ "Time \n",
+ "2022-11-24 16:05:43.370 34 4.1 Sortante 10\n",
+ "2022-11-24 16:05:50.230 29 10.0 Sortante 10\n",
+ "2022-11-24 16:05:53.890 25 3.8 Sortante 10\n",
+ "2022-11-24 16:05:56.340 43 11.6 Sortante 10\n",
+ "2022-11-24 16:06:39.050 31 9.4 Sortante 10\n",
+ "... ... ... ... ...\n",
+ "2022-12-15 09:35:23.380 28 6.1 Sortante 10\n",
+ "2022-12-15 09:36:17.840 29 6.5 Sortante 10\n",
+ "2022-12-15 09:36:46.760 32 6.5 Sortante 10\n",
+ "2022-12-15 09:36:51.620 5 0.7 Entrante 10\n",
+ "2022-12-15 09:36:59.180 31 6.0 Sortante 10\n",
+ "\n",
+ "[49907 rows x 4 columns])\n"
+ ]
+ }
+ ],
+ "source": [
+ "data_path = r\"Z:\\42-DUR-MOB-E-E\\42.05-Mobilite\\42.05.01-Aff-en-cours\\04-Compteurs\\Data\\Voitures/\"\n",
+ "folders = os.listdir(data_path)\n",
+ "for folders in folders:\n",
+ " data_path = data_path + folders + \"/\"\n",
+ " compt= comptage()\n",
+ " compt.read_data(data_path)\n",
+ " compt.to_L1(\"../data/Level1/\")"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Compteur location\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Compteur_ID = [1,2,5,6,7,8,10]\n",
+ "Compteur_location = [\"46.521554 6.571842\", \"46.521818 6.568445\", \"46.522108 6.564175\", \"46.518185 6.561196\", \"46.517273 6.565592\",\n",
+ " \"46.518218 6.570355\", \"46.519271 6.571809\"]\n",
+ "#Split Compteur_location into two columns lat and lon\n",
+ "Compteur_location = [i.split(\" \") for i in Compteur_location]\n",
+ "#Select first element of each list\n",
+ "Compteur_lat = [i[0] for i in Compteur_location]\n",
+ "Compteur_lon = [i[1] for i in Compteur_location]\n",
+ "df_compteur = pd.DataFrame({\"ID\":Compteur_ID, \"lat\":Compteur_lat, \"lon\":Compteur_lon}).astype(float)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Get last integer of serie compt.df[\"station_nb\"]\n",
+ "compt.df[\"ID\"] = compt.df[\"station_nb\"].apply(lambda x: str(x).split(\" \")[-1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = compt.df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Convert to xarray dataset compt.df with Time and ID as coords\n",
+ "ds = compt.df.set_index([\"ID\"]).to_xarray()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "MergeError",
+ "evalue": "No common columns to perform merge on. Merge options: left_on=None, right_on=None, left_index=False, right_index=False",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mMergeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[1;32mIn [85], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[39m#Join df with df_compteur based on ID\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m df \u001b[39m=\u001b[39m compt\u001b[39m.\u001b[39;49mdf\u001b[39m.\u001b[39;49mmerge(df_compteur[\u001b[39m\"\u001b[39;49m\u001b[39mlat\u001b[39;49m\u001b[39m\"\u001b[39;49m])\n",
+ "File \u001b[1;32mc:\\Users\\cruz\\Anaconda3\\envs\\VPT\\lib\\site-packages\\pandas\\core\\frame.py:10090\u001b[0m, in \u001b[0;36mDataFrame.merge\u001b[1;34m(self, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 10071\u001b[0m \u001b[39m@Substitution\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 10072\u001b[0m \u001b[39m@Appender\u001b[39m(_merge_doc, indents\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m)\n\u001b[0;32m 10073\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mmerge\u001b[39m(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 10086\u001b[0m validate: \u001b[39mstr\u001b[39m \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 10087\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame:\n\u001b[0;32m 10088\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mpandas\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mcore\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mreshape\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmerge\u001b[39;00m \u001b[39mimport\u001b[39;00m merge\n\u001b[1;32m> 10090\u001b[0m \u001b[39mreturn\u001b[39;00m merge(\n\u001b[0;32m 10091\u001b[0m \u001b[39mself\u001b[39;49m,\n\u001b[0;32m 10092\u001b[0m right,\n\u001b[0;32m 10093\u001b[0m how\u001b[39m=\u001b[39;49mhow,\n\u001b[0;32m 10094\u001b[0m on\u001b[39m=\u001b[39;49mon,\n\u001b[0;32m 10095\u001b[0m left_on\u001b[39m=\u001b[39;49mleft_on,\n\u001b[0;32m 10096\u001b[0m right_on\u001b[39m=\u001b[39;49mright_on,\n\u001b[0;32m 10097\u001b[0m left_index\u001b[39m=\u001b[39;49mleft_index,\n\u001b[0;32m 10098\u001b[0m right_index\u001b[39m=\u001b[39;49mright_index,\n\u001b[0;32m 10099\u001b[0m sort\u001b[39m=\u001b[39;49msort,\n\u001b[0;32m 10100\u001b[0m suffixes\u001b[39m=\u001b[39;49msuffixes,\n\u001b[0;32m 10101\u001b[0m copy\u001b[39m=\u001b[39;49mcopy,\n\u001b[0;32m 10102\u001b[0m indicator\u001b[39m=\u001b[39;49mindicator,\n\u001b[0;32m 10103\u001b[0m validate\u001b[39m=\u001b[39;49mvalidate,\n\u001b[0;32m 10104\u001b[0m )\n",
+ "File \u001b[1;32mc:\\Users\\cruz\\Anaconda3\\envs\\VPT\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:110\u001b[0m, in \u001b[0;36mmerge\u001b[1;34m(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)\u001b[0m\n\u001b[0;32m 93\u001b[0m \u001b[39m@Substitution\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39mleft : DataFrame or named Series\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m 94\u001b[0m \u001b[39m@Appender\u001b[39m(_merge_doc, indents\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m)\n\u001b[0;32m 95\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mmerge\u001b[39m(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 108\u001b[0m validate: \u001b[39mstr\u001b[39m \u001b[39m|\u001b[39m \u001b[39mNone\u001b[39;00m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 109\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m DataFrame:\n\u001b[1;32m--> 110\u001b[0m op \u001b[39m=\u001b[39m _MergeOperation(\n\u001b[0;32m 111\u001b[0m left,\n\u001b[0;32m 112\u001b[0m right,\n\u001b[0;32m 113\u001b[0m how\u001b[39m=\u001b[39;49mhow,\n\u001b[0;32m 114\u001b[0m on\u001b[39m=\u001b[39;49mon,\n\u001b[0;32m 115\u001b[0m left_on\u001b[39m=\u001b[39;49mleft_on,\n\u001b[0;32m 116\u001b[0m right_on\u001b[39m=\u001b[39;49mright_on,\n\u001b[0;32m 117\u001b[0m left_index\u001b[39m=\u001b[39;49mleft_index,\n\u001b[0;32m 118\u001b[0m right_index\u001b[39m=\u001b[39;49mright_index,\n\u001b[0;32m 119\u001b[0m sort\u001b[39m=\u001b[39;49msort,\n\u001b[0;32m 120\u001b[0m suffixes\u001b[39m=\u001b[39;49msuffixes,\n\u001b[0;32m 121\u001b[0m indicator\u001b[39m=\u001b[39;49mindicator,\n\u001b[0;32m 122\u001b[0m validate\u001b[39m=\u001b[39;49mvalidate,\n\u001b[0;32m 123\u001b[0m )\n\u001b[0;32m 124\u001b[0m \u001b[39mreturn\u001b[39;00m op\u001b[39m.\u001b[39mget_result(copy\u001b[39m=\u001b[39mcopy)\n",
+ "File \u001b[1;32mc:\\Users\\cruz\\Anaconda3\\envs\\VPT\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:685\u001b[0m, in \u001b[0;36m_MergeOperation.__init__\u001b[1;34m(self, left, right, how, on, left_on, right_on, axis, left_index, right_index, sort, suffixes, indicator, validate)\u001b[0m\n\u001b[0;32m 681\u001b[0m \u001b[39m# stacklevel chosen to be correct when this is reached via pd.merge\u001b[39;00m\n\u001b[0;32m 682\u001b[0m \u001b[39m# (and not DataFrame.join)\u001b[39;00m\n\u001b[0;32m 683\u001b[0m warnings\u001b[39m.\u001b[39mwarn(msg, \u001b[39mFutureWarning\u001b[39;00m, stacklevel\u001b[39m=\u001b[39mfind_stack_level())\n\u001b[1;32m--> 685\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mleft_on, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mright_on \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_validate_left_right_on(left_on, right_on)\n\u001b[0;32m 687\u001b[0m cross_col \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 688\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mhow \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mcross\u001b[39m\u001b[39m\"\u001b[39m:\n",
+ "File \u001b[1;32mc:\\Users\\cruz\\Anaconda3\\envs\\VPT\\lib\\site-packages\\pandas\\core\\reshape\\merge.py:1434\u001b[0m, in \u001b[0;36m_MergeOperation._validate_left_right_on\u001b[1;34m(self, left_on, right_on)\u001b[0m\n\u001b[0;32m 1432\u001b[0m common_cols \u001b[39m=\u001b[39m left_cols\u001b[39m.\u001b[39mintersection(right_cols)\n\u001b[0;32m 1433\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(common_cols) \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[1;32m-> 1434\u001b[0m \u001b[39mraise\u001b[39;00m MergeError(\n\u001b[0;32m 1435\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mNo common columns to perform merge on. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1436\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mMerge options: left_on=\u001b[39m\u001b[39m{\u001b[39;00mleft_on\u001b[39m}\u001b[39;00m\u001b[39m, \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1437\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mright_on=\u001b[39m\u001b[39m{\u001b[39;00mright_on\u001b[39m}\u001b[39;00m\u001b[39m, \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1438\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mleft_index=\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mleft_index\u001b[39m}\u001b[39;00m\u001b[39m, \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1439\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mright_index=\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mright_index\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1440\u001b[0m )\n\u001b[0;32m 1441\u001b[0m \u001b[39mif\u001b[39;00m (\n\u001b[0;32m 1442\u001b[0m \u001b[39mnot\u001b[39;00m left_cols\u001b[39m.\u001b[39mjoin(common_cols, how\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39minner\u001b[39m\u001b[39m\"\u001b[39m)\u001b[39m.\u001b[39mis_unique\n\u001b[0;32m 1443\u001b[0m \u001b[39mor\u001b[39;00m \u001b[39mnot\u001b[39;00m right_cols\u001b[39m.\u001b[39mjoin(common_cols, how\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39minner\u001b[39m\u001b[39m\"\u001b[39m)\u001b[39m.\u001b[39mis_unique\n\u001b[0;32m 1444\u001b[0m ):\n\u001b[0;32m 1445\u001b[0m \u001b[39mraise\u001b[39;00m MergeError(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mData columns not unique: \u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mrepr\u001b[39m(common_cols)\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
+ "\u001b[1;31mMergeError\u001b[0m: No common columns to perform merge on. Merge options: left_on=None, right_on=None, left_index=False, right_index=False"
+ ]
+ }
+ ],
+ "source": [
+ "#Join df with df_compteur "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 1\n",
+ "1 2\n",
+ "2 5\n",
+ "3 6\n",
+ "4 7\n",
+ "5 8\n",
+ "6 10\n",
+ "Name: station_nb, dtype: object"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Join df_compteur with "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "VPT",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.8"
+ },
+ "orig_nbformat": 4,
+ "vscode": {
+ "interpreter": {
+ "hash": "6758a11adffad33e01134c7e3192a9fa0f9568c56c27f5ab37b61f53e2be5cef"
+ }
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/publish.bat b/publish.bat
new file mode 100644
index 0000000..a74f375
--- /dev/null
+++ b/publish.bat
@@ -0,0 +1,5 @@
+@echo off
+set /p uname=Enter your Tableau username:
+set /p pwd=Enter your Tableau password:
+tabcmd publish "data/Resultats/L2_vehicules.hyper" --project "Released" --name "L2_vehicules" -u %uname% -p %pwd% --overwrite
+tabcmd publish "data/Resultats/L2_pietons_velos.hyper" --project "Released" --name "L2_pietons_velos" -u %uname% -p %pwd% --overwrite
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..b8031e9
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,108 @@
+asttokens @ file:///opt/conda/conda-bld/asttokens_1646925590279/work
+attrs==23.1.0
+backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work
+boltons @ file:///C:/b/abs_707eo7c09t/croot/boltons_1677628723117/work
+Bottleneck @ file:///C:/Windows/Temp/abs_3198ca53-903d-42fd-87b4-03e6d03a8381yfwsuve8/croots/recipe/bottleneck_1657175565403/work
+brotlipy==0.7.0
+certifi @ file:///C:/b/abs_4a0polqwty/croot/certifi_1683875377622/work/certifi
+cffi @ file:///C:/b/abs_49n3v2hyhr/croot/cffi_1670423218144/work
+chardet==5.2.0
+charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
+click==8.1.7
+click-plugins==1.1.1
+cligj==0.7.2
+colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
+conda @ file:///C:/b/abs_a1khk4epoo/croot/conda_1685025197412/work
+conda-package-handling @ file:///C:/b/abs_ce4_vcfd0y/croot/conda-package-handling_1685024800103/work
+conda_package_streaming @ file:///C:/b/abs_88a7k_wmm1/croot/conda-package-streaming_1685019697115/work
+contourpy @ file:///C:/b/abs_d5rpy288vc/croots/recipe/contourpy_1663827418189/work
+cryptography @ file:///C:/b/abs_8ecplyc3n2/croot/cryptography_1677533105000/work
+cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
+debugpy @ file:///C:/ci_310/debugpy_1642079916595/work
+decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
+et-xmlfile==1.1.0
+executing @ file:///opt/conda/conda-bld/executing_1646925071911/work
+fastjsonschema==2.18.1
+fiona==1.9.5
+fonttools==4.25.0
+gensim==4.3.2
+geographiclib==2.0
+geopandas==0.14.3
+geopy==2.4.1
+idna @ file:///C:/b/abs_bdhbebrioa/croot/idna_1666125572046/work
+ipykernel @ file:///D:/bld/ipykernel_1655369313836/work
+ipython @ file:///C:/b/abs_d1yx5tjhli/croot/ipython_1680701887259/work
+jedi @ file:///C:/ci/jedi_1644315428305/work
+joblib==1.3.2
+jsonpatch @ file:///tmp/build/80754af9/jsonpatch_1615747632069/work
+jsonpointer==2.1
+jsonschema==4.19.2
+jsonschema-specifications==2023.7.1
+jupyter_client @ file:///C:/b/abs_059idvdagk/croot/jupyter_client_1680171872444/work
+jupyter_core @ file:///C:/b/abs_9d0ttho3bs/croot/jupyter_core_1679906581955/work
+kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
+matplotlib @ file:///C:/b/abs_49b2acwxd4/croot/matplotlib-suite_1679593486357/work
+matplotlib-inline @ file:///C:/ci/matplotlib-inline_1661934094726/work
+menuinst @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_455sf5o0ct/croots/recipe/menuinst_1661805970842/work
+mkl-fft==1.3.6
+mkl-random @ file:///C:/Users/dev-admin/mkl/mkl_random_1682977971003/work
+mkl-service==2.4.0
+munkres==1.1.4
+nbformat==5.9.2
+nest-asyncio @ file:///C:/b/abs_3a_4jsjlqu/croot/nest-asyncio_1672387322800/work
+numexpr @ file:///C:/b/abs_afm0oewmmt/croot/numexpr_1683221839116/work
+numpy @ file:///C:/b/abs_5akk51tu0f/croot/numpy_and_numpy_base_1687466253743/work
+openpyxl==3.0.10
+packaging @ file:///C:/b/abs_ed_kb9w6g4/croot/packaging_1678965418855/work
+pandas @ file:///C:/b/abs_b9kefbuby2/croot/pandas_1677835593760/work
+pantab==3.0.0
+parso @ file:///opt/conda/conda-bld/parso_1641458642106/work
+pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work
+Pillow==9.4.0
+platformdirs @ file:///C:/b/abs_73cc5cz_1u/croots/recipe/platformdirs_1662711386458/work
+plotly @ file:///C:/ci/plotly_1658160673416/work
+pluggy @ file:///C:/ci/pluggy_1648042746254/work
+ply==3.11
+prompt-toolkit @ file:///C:/b/abs_6coz5_9f2s/croot/prompt-toolkit_1672387908312/work
+psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
+pure-eval @ file:///opt/conda/conda-bld/pure_eval_1646925070566/work
+pycosat @ file:///C:/b/abs_4b1rrw8pn9/croot/pycosat_1666807711599/work
+pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
+Pygments @ file:///C:/b/abs_fay9dpq4n_/croot/pygments_1684279990574/work
+pyOpenSSL @ file:///C:/b/abs_552w85x1jz/croot/pyopenssl_1677607703691/work
+pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
+pyproj==3.6.1
+PyQt5==5.15.7
+PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
+PySocks @ file:///C:/ci_310/pysocks_1642089375450/work
+python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
+pytz @ file:///C:/b/abs_22fofvpn1x/croot/pytz_1671698059864/work
+pywin32==305.1
+PyYAML==6.0
+pyzmq @ file:///C:/b/abs_655zk4a3s8/croot/pyzmq_1686601465034/work
+referencing==0.30.2
+requests @ file:///C:/b/abs_41owkd5ymz/croot/requests_1682607524657/work
+rpds-py==0.12.0
+ruamel.yaml @ file:///C:/b/abs_30ee5qbthd/croot/ruamel.yaml_1666304562000/work
+ruamel.yaml.clib @ file:///C:/b/abs_aarblxbilo/croot/ruamel.yaml.clib_1666302270884/work
+scikit-learn==1.3.0
+scipy==1.11.1
+seaborn==0.12.2
+shapely==2.0.3
+sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
+six @ file:///tmp/build/80754af9/six_1644875935023/work
+smart-open==6.4.0
+stack-data @ file:///opt/conda/conda-bld/stack_data_1646927590127/work
+tableauhyperapi==0.0.17537
+tenacity @ file:///C:/b/abs_ddkoa9nju6/croot/tenacity_1682972298929/work
+threadpoolctl==3.2.0
+toml @ file:///tmp/build/80754af9/toml_1616166611790/work
+toolz @ file:///C:/b/abs_cfvk6rc40d/croot/toolz_1667464080130/work
+tornado @ file:///C:/ci/tornado_1662476985533/work
+tqdm @ file:///C:/b/abs_f76j9hg7pv/croot/tqdm_1679561871187/work
+traitlets @ file:///C:/b/abs_e5m_xjjl94/croot/traitlets_1671143896266/work
+urllib3 @ file:///C:/b/abs_889_loyqv4/croot/urllib3_1686163174463/work
+wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work
+win-inet-pton @ file:///C:/ci_310/win_inet_pton_1642658466512/work
+xarray @ file:///C:/b/abs_2fi_umrauo/croot/xarray_1668776806973/work
+zstandard==0.19.0
diff --git a/run_copy.bat b/run_copy.bat
new file mode 100644
index 0000000..d8d6d9e
--- /dev/null
+++ b/run_copy.bat
@@ -0,0 +1 @@
+python scripts/Copy_Vehicules.py
\ No newline at end of file
diff --git a/run_copy_process_publish.bat b/run_copy_process_publish.bat
new file mode 100644
index 0000000..0a6207e
--- /dev/null
+++ b/run_copy_process_publish.bat
@@ -0,0 +1,8 @@
+call conda activate VPT
+python scripts/Copy_Vehicules.py
+python scripts/Process.py
+@echo off
+set /p uname=Enter your Tableau username:
+set /p pwd=Enter your Tableau password:
+tabcmd publish "data/Resultats/L2_vehicules.hyper" --project "Testing" --name "L2_vehicules" -u %uname% -p %pwd% --overwrite
+tabcmd publish "data/Resultats/L2_pietons_velos.hyper" --project "Testing" --name "L2_pietons_velos" -u %uname% -p %pwd% --overwrite
\ No newline at end of file
diff --git a/scripts/Copy_Vehicules.py b/scripts/Copy_Vehicules.py
new file mode 100644
index 0000000..bedb7a5
--- /dev/null
+++ b/scripts/Copy_Vehicules.py
@@ -0,0 +1,81 @@
+from functions import *
+import os
+import os
+from ftplib import FTP
+
+def access_server(local_directory, server_address, server_port, username, password):
+ try:
+ # Connect to the server
+ ftp = FTP()
+ ftp.connect(server_address, server_port)
+ print('Connected to the FTP server.')
+
+ # Login with credentials
+ ftp.login(username, password)
+ print('Logged in successfully.')
+
+ # Perform operations on the server
+ # For example, list files in the current directory
+ ftp.retrlines('LIST')
+
+ # copy files to local directory
+ Site_list = ftp.nlst()
+
+ # Copy each file to the local repository
+ for Site in Site_list:
+ if "Site" in Site:
+ Folder_list = ftp.nlst(Site)
+ for Folder in Folder_list:
+ if ("Vehicules" in Folder):
+ file_list = ftp.nlst(Folder + "/Data")
+ # Only select file containing ".csv"
+ file_list = [file for file in file_list if ".csv" in file]
+
+ for file_name in file_list:
+ # Create necessary directories recursively
+ local_path = os.path.join(local_directory, Folder)
+ create_directory(local_path)
+ local_file = file_name.replace("Data/", "")
+ # Check if the file already exists in the local repository
+ if os.path.exists(os.path.join(local_directory, local_file)):
+ pass
+ else:
+ # Copy the file
+ file_renamed = os.path.join(local_directory, local_file)
+ with open(file_renamed, 'wb') as file:
+ ftp.retrbinary('RETR ' + file_name, file.write)
+ print('Copied', file_name)
+
+ # Close the FTP connection
+ ftp.quit()
+ print('Disconnected from the FTP server.')
+
+ except ConnectionRefusedError:
+ print('Connection refused. Make sure the FTP server is running.')
+
+ except Exception as e:
+ print('An error occurred:', str(e))
+
+def create_directory(path):
+ # Create necessary directories recursively
+ os.makedirs(path, exist_ok=True)
+
+def main():
+ local_directory="data/Brute/"
+ # Server information
+ server_address = '80.74.143.13'
+ server_port = 21
+ username = 'ch.epfl.mobility'
+ #Adapt the file or set the pwd yourself
+ with open("C:/Users/cruz/Pwd.yaml", 'r') as stream:
+ try:
+ pwd = yaml.safe_load(stream)
+ password = pwd["Radar_server"]
+ except yaml.YAMLError as exc:
+ print(exc)
+
+ access_server(local_directory, server_address, server_port, username, password)
+
+if __name__ == '__main__':
+ main()
+ exit()
\ No newline at end of file
diff --git a/scripts/Process.py b/scripts/Process.py
new file mode 100644
index 0000000..0aad8cd
--- /dev/null
+++ b/scripts/Process.py
@@ -0,0 +1,36 @@
+from comptage import comptage
+import os
+from functions import *
+from Copy_Vehicules import access_server
+import datetime
+
+categories_less_than_length = {"Velo": 1.17, "Moto":1.70, "Auto":3.00, "Camionette": 4.00} #in m
+
+input_path = open_input_path("scripts/input_path.yaml", notebook=False)
+data_path = input_path["local_input"]
+data_path = "data/Brute/"
+folders = os.listdir(data_path)
+#Take only folders that contain "Site"
+folders = [folder for folder in folders if "Site" in folder]
+#Append folders to data_path
+folders = [data_path+folder+"/" for folder in folders]
+
+compt = comptage(vehicle_type="Vehicules")
+compt.read_data(folders=folders, processing="update")
+compt.read_concat(path="data/Resultats/L0_cars.csv")
+compt.localize(path=input_path["station_info"])
+compt.to_L2(categories=categories_less_than_length, output_path="data/Resultats/L2_cars.csv")
+compt.convert_to_hyper_tb(output_name="data/Resultats/L2_vehicules.hyper", tablename="L2_vehicules")
+
+compt = comptage(vehicle_type="Pietons-velos")
+compt.read_data(folders=folders,processing="update")
+compt.read_concat(path="data/Resultats/L0_pietons_velos.csv")
+compt.localize(path = input_path["station_info"])
+compt.to_L2(output_path="data/Resultats/L2_pietons_velos.csv")
+compt.convert_to_hyper_tb(output_name="data/Resultats/L2_pietons_velos.hyper", tablename="L2_pietons_velos")
+
+#If don't exist create a log.txt and append information about the date
+
+with open("log.txt", "w") as f:
+ f.write("Date: "+str(datetime.datetime.now())+"\n")
+ f.write("Folders: "+str(folders)+"\n")
\ No newline at end of file
diff --git a/scripts/__pycache__/Copy_Vehicules.cpython-310.pyc b/scripts/__pycache__/Copy_Vehicules.cpython-310.pyc
new file mode 100644
index 0000000..66942cf
Binary files /dev/null and b/scripts/__pycache__/Copy_Vehicules.cpython-310.pyc differ
diff --git a/scripts/__pycache__/comptage.cpython-310.pyc b/scripts/__pycache__/comptage.cpython-310.pyc
new file mode 100644
index 0000000..b3d12fd
Binary files /dev/null and b/scripts/__pycache__/comptage.cpython-310.pyc differ
diff --git a/scripts/__pycache__/functions.cpython-310.pyc b/scripts/__pycache__/functions.cpython-310.pyc
new file mode 100644
index 0000000..681ef6d
Binary files /dev/null and b/scripts/__pycache__/functions.cpython-310.pyc differ
diff --git a/scripts/comptage.py b/scripts/comptage.py
new file mode 100644
index 0000000..8d54812
--- /dev/null
+++ b/scripts/comptage.py
@@ -0,0 +1,133 @@
+import pandas as pd
+import glob
+import numpy as np
+import os
+from functions import *
+import pantab
+class comptage():
+
+ def __init__(self, vehicle_type="Vehicules"):
+ self.vehicle_type = vehicle_type
+
+ def read_data(self, folders, processed_files_path="data/processed_files.txt", processing="Last"):
+ vehicle_type = self.vehicle_type
+ #Read all the data from server and store it in a dataframe
+ files_station = []
+ old_format = []
+ for folder in folders:
+ files = glob.glob(folder+vehicle_type+"/*.csv")
+ #get element containing substring "Empl01" in files
+ #delete "0" from station string
+ for file in files:
+ if ("empl" in file) or ("Empl" in file):
+ old_format.append(file)
+ elif ("TMSSA" not in file) and ("Week_Volume" not in file): #TSSA file have another strucutre. yet there is only 1 file
+ files_station.append(file)
+
+ # Get list of files that have been processed
+ processed_files = get_processed_files("data/Processed_files.txt")
+
+ #Open files_station by chunk and concatenate them
+ if processing=="all":
+ files = files_station
+ print("You're processing all the files, this might take some time")
+ else:
+ #Check all elements of files_station that are not in processed_files
+ files = [file for file in files_station if file not in processed_files]
+
+ df_list = []
+ for file in files:
+ if vehicle_type=="Vehicules":
+ #If file is not empty do this:
+ if os.stat(file).st_size != 0:
+ df = pd.read_csv(file, sep=";", parse_dates=True)
+ df = df[df["typ"] == 1]
+ df["date and time [UTC]"] = pd.to_datetime(df["date and time [UTC]"])
+ df["station"] = file.split("Site_")[1].split("/")[0]
+ df["station"] = df["station"].astype(int)
+ df = df.drop(columns=["typ", "range [m]", "notes"])
+ df["speed [km/h]"] = df["speed [km/h]"].str.replace("+", "", regex=False).str.replace(",",".").astype(float)
+ df["length [m]"] = df["length [m]"].str.replace(",",".").astype(float)
+ else:
+ df = pd.DataFrame()
+
+ elif vehicle_type=="Pietons-velos":
+ if os.stat(file).st_size != 0:
+ df = pd.read_csv(file, sep=",", header=4, parse_dates=True)
+ try:
+ df["Date"] = pd.to_datetime(df["Date"] + " " + df["Time"], format="%d.%m.%Y %H:%M:%S")
+ except:
+ df["Date"] = pd.to_datetime(df["Date"] + " " + df["Time"], format="%d/%m/%Y %H:%M:%S")
+ df.drop("Time", axis=1, inplace=True)
+ df["station"] = file.split("Site_")[1].split("/")[0]
+ df["station"] = df["station"].astype(int)
+ df["Classification_name"] = np.where(df["Classification"]==1, "pietons", "velos")
+ else:
+ df = pd.DataFrame()
+ store_processed_file(file, processed_files_path)
+ df_list.append(df)
+
+ self.df_concat_new = pd.concat(df_list, axis=0, ignore_index=True)
+
+ if len(files)==0:
+ self.df_concat_new = pd.DataFrame()
+ return None
+
+ def read_concat(self, path):
+ if os.path.exists(path):
+ try:
+ df = pd.read_csv(path, sep=",", parse_dates=["date and time [UTC]"])
+ except:
+ df = pd.read_csv(path, sep=",", parse_dates=["Date"])
+ else:
+ df = pd.DataFrame()
+
+ self.df_concat = pd.concat([df, self.df_concat_new], axis=0, ignore_index=True)
+ if self.df_concat_new.empty:
+ print("No new files to process")
+ else:
+ self.df_concat.to_csv(path, index=False)
+
+ def localize(self, path):
+ station_info = pd.read_excel(path)
+ #Split Compteur_location into two columns lat and lon
+ compteur_location= station_info["coordinates"]
+ compteur_location = [i.split(" ") for i in compteur_location]
+ #Select first element of each list
+ Compteur_lat = [i[0] for i in compteur_location]
+ Compteur_lon = [i[1] for i in compteur_location]
+
+ #Drop column "coordinates" and create new one called "lat" and "lon"
+ station_info = station_info.drop(columns=["coordinates"])
+ station_info["lat"] = Compteur_lat
+ station_info["lon"] = Compteur_lon
+ station_info["lat"] = station_info["lat"].astype(float)
+ station_info["lon"] = station_info["lon"].astype(float)
+
+ #Join self.df_concat with compteur_location based on the key "station"
+ self.df_concat = self.df_concat.merge(station_info, on="station")
+
+ def to_L2(self, categories=None, output_path="data/Resultats/L2_cars.csv"):
+ vehicle_type = self.vehicle_type
+ if vehicle_type=="Vehicules":
+ #check if speed is positive, if yes flll a new column called "direction" with "ingoing" if positive and "outgoing" if negative
+ self.df_concat["direction"] = np.where(self.df_concat["speed [km/h]"]>0, "ingoing", "outgoing")
+ self.df_concat["speed [km/h]"] = self.df_concat["speed [km/h]"].abs()
+
+ self.df_concat["exceeded_speed"] = self.df_concat["speed [km/h]"]>self.df_concat["Speed limit [km/h]"]
+ #Correct the following line
+ self.df_concat["length_category"] = np.nan
+ self.df_concat.loc[self.df_concat["length [m]"]<categories["Velo"], "length_category"] = "Velo"
+ self.df_concat.loc[(self.df_concat["length [m]"]>=categories["Velo"])&(self.df_concat["length [m]"]<categories["Moto"]), "length_category"] = "Moto"
+ self.df_concat.loc[(self.df_concat["length [m]"]>=categories["Moto"])&(self.df_concat["length [m]"]<categories["Auto"]), "length_category"] = "Auto"
+ self.df_concat.loc[(self.df_concat["length [m]"]>=categories["Auto"])&(self.df_concat["length [m]"]<categories["Camionette"]), "length_category"] = "Camionette"
+ self.df_concat.loc[(self.df_concat["length [m]"]>=categories["Camionette"]), "length_category"] = "Camion"
+ elif vehicle_type=="Pietons-velos":
+ pass
+
+ self.df_L2 = self.df_concat.copy()
+ if not self.df_concat_new.empty:
+ self.df_L2.to_csv(output_path)
+
+ def convert_to_hyper_tb(self,output_name, tablename, mode="w"):
+ pantab.frame_to_hyper(self.df_L2, output_name, table=tablename, table_mode=mode)
diff --git a/scripts/functions.py b/scripts/functions.py
new file mode 100644
index 0000000..58838d1
--- /dev/null
+++ b/scripts/functions.py
@@ -0,0 +1,120 @@
+import numpy as np
+import pandas as pd
+import yaml
+import os
+from ftplib import FTP
+from tableauhyperapi import SqlType
+
+def get_hyper_type(pandas_dtype):
+ if 'int' in str(pandas_dtype):
+ return SqlType.int()
+ elif 'float' in str(pandas_dtype):
+ return SqlType.double()
+ elif 'bool' in str(pandas_dtype):
+ return SqlType.bool()
+ elif 'datetime' in str(pandas_dtype):
+ return SqlType.timestamp()
+ else:
+ return SqlType.text()
+
+def get_processed_files(processed_files_path):
+ if os.path.exists(processed_files_path):
+ with open(processed_files_path, 'r') as f:
+ processed_files = f.read().splitlines()
+ return processed_files
+ return []
+
+def store_processed_file(filename, processed_files_path):
+ with open(processed_files_path, 'a') as f:
+ f.write(filename + "\n")
+
+def access_server(local_directory, server_address, server_port, username, password):
+ try:
+ # Connect to the server
+ ftp = FTP()
+ ftp.connect(server_address, server_port)
+ print('Connected to the FTP server.')
+
+ # Login with credentials
+ ftp.login(username, password)
+ print('Logged in successfully.')
+
+ # Perform operations on the server
+ # For example, list files in the current directory
+ ftp.retrlines('LIST')
+
+ # copy files to local directory
+ Site_list = ftp.nlst()
+
+ # Copy each file to the local repository
+ for Site in Site_list:
+ if "Site" in Site:
+ Folder_list = ftp.nlst(Site)
+ for Folder in Folder_list:
+ if ("Vehicules" in Folder) or ("Pietons" in Folder):
+ file_list = ftp.nlst(Folder + "/Data")
+ # Only select file containing ".csv"
+ file_list = [file for file in file_list if ".csv" in file]
+
+ for file_name in file_list:
+ # Create necessary directories recursively
+ local_path = os.path.join(local_directory, Folder)
+ create_directory(local_path)
+
+ # Check if the file already exists in the local repository
+ if os.path.exists(os.path.join(local_directory, file_name)):
+ print('File already exists:', file_name)
+ else:
+ # Copy the file
+ file_renamed = os.path.join(local_directory, file_name.replace("Data/", ""))
+ with open(file_renamed, 'wb') as file:
+ ftp.retrbinary('RETR ' + file_name, file.write)
+ print('Copied', file_name)
+
+ # Close the FTP connection
+ ftp.quit()
+ print('Disconnected from the FTP server.')
+
+ except ConnectionRefusedError:
+ print('Connection refused. Make sure the FTP server is running.')
+
+ except Exception as e:
+ print('An error occurred:', str(e))
+
+def create_directory(path):
+ # Create necessary directories recursively
+ os.makedirs(path, exist_ok=True)
+
+def open_input_path(input_path_yaml, notebook=False):
+ with open(input_path_yaml, 'r') as stream:
+ try:
+ input_path = yaml.safe_load(stream)
+ except yaml.YAMLError as exc:
+ print(exc)
+ #Go to parent folder
+ if notebook:
+ for path in input_path:
+ try:
+ if "Z:/" not in list(input_path[path].values())[0]:
+ for keys in input_path[path].keys():
+ input_path[path][keys] = "../"+input_path[path][keys]
+ except:
+ if "Z:/" not in input_path[path]:
+ input_path[path] = "../"+input_path[path]
+
+ return input_path
+
+
+def downsample_count(self, freq="1H"):
+ #Set self.time_max minutes and seconds and milliseconds to 0
+ self.time_max = self.time_max.replace(minute=0, second=0, microsecond=0)
+ #Same with self.time_min
+ self.time_min = self.time_min.replace(minute=0, second=0, microsecond=0)
+ #Create time grid starting at self.time_min and ending at self.time_max with a frequency of 1H
+ time_grid = pd.date_range(start=self.time_min, end=self.time_max, freq=freq)
+ #Check if time is uniquely valued
+ #Create a new dataset with the time grid
+ self.ds_dict_count = {}
+ for station in self.ds_dict.keys():
+ count = self.ds_dict[station].Time.resample(Time=freq).count()
+ self.ds_dict_count[station] = count.interp(Time=time_grid)
diff --git a/scripts/input_path.yaml b/scripts/input_path.yaml
new file mode 100644
index 0000000..973415f
--- /dev/null
+++ b/scripts/input_path.yaml
@@ -0,0 +1,3 @@
+compteurs_data: "M:/42-DUR-MOB-E-E/42.05-Mobilite/42.05.01-Aff-en-cours/06-Comptages/Compteurs-ACET/Data/"
+station_info: "data/Stations_input.xlsx"
+local_input: "data/Brute/"
\ No newline at end of file
diff --git a/tabcmd.log b/tabcmd.log
new file mode 100644
index 0000000..06ae994
--- /dev/null
+++ b/tabcmd.log
@@ -0,0 +1,1285 @@
+Tabcmd 2.0.12
+===== Server: [server_url]
+===== Username: [username]
+===== Token Name: None
+Site Tableau Server: [site]
+Connexion au serveur...
+Error message: Failed to connect to server
+('Server connection settings not valid', InvalidURL('Failed to parse: http://[server_url]'))
+Traceback (most recent call last):
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\requests\models.py", line 434, in prepare_url
+ scheme, auth, host, port, path, query, fragment = parse_url(url)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\urllib3\util\url.py", line 397, in parse_url
+ return six.raise_from(LocationParseError(source_url), None)
+ File "<string>", line 3, in raise_from
+urllib3.exceptions.LocationParseError: Failed to parse: http://[server_url]
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tableauserverclient\server\server.py", line 120, in validate_connection_settings
+ self._session.prepare_request(requests.Request("GET", url=self._server_address, params=self._http_options))
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\requests\sessions.py", line 486, in prepare_request
+ p.prepare(
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\requests\models.py", line 368, in prepare
+ self.prepare_url(url, params)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\requests\models.py", line 436, in prepare_url
+ raise InvalidURL(*e.args)
+requests.exceptions.InvalidURL: Failed to parse: http://[server_url]
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\commands\auth\session.py", line 188, in _open_connection_with_opts
+ tableau_server = TSC.Server(self.server_url, http_options=http_options)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tableauserverclient\server\server.py", line 109, in __init__
+ self.validate_connection_settings() # does not make an actual outgoing request
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tableauserverclient\server\server.py", line 122, in validate_connection_settings
+ raise ValueError("Server connection settings not valid", req_ex)
+ValueError: ('Server connection settings not valid', InvalidURL('Failed to parse: http://[server_url]'))
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] Traffic_EPFL_2
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] Traffic_EPFL_2
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Replacing an extract is not yet implemented
+Traceback (most recent call last):
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\execution\tabcmd_controller.py", line 45, in run
+ namespace.func.run_command(namespace)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\commands\datasources_and_workbooks\publish_command.py", line 57, in run_command
+ publish_mode = PublishCommand.get_publish_mode(args, logger)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\commands\datasources_and_workbooks\publish_command.py", line 113, in get_publish_mode
+ raise AttributeError("Replacing an extract is not yet implemented")
+AttributeError: Replacing an extract is not yet implemented
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Publication de \u02bcdata/Resultats/Traffic_EPFL.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing Traffic_EPFL.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 73MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 79MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 84MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 89MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 94MB
+Uploading a chunk to session (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+ Published 96MB
+File upload finished (ID: 23025:4f53f30531cd4696a3551f6b172b130b-1:0)
+
+
+ 403007: Forbidden
+ 'cruz' isn't authorized to publish '23025:4f53f30531cd4696a3551f6b172b130b-1:0'.
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] Explorer/VPT - Vice-présidence pour la transformation responsable/VPT-DUR/00 - DataSources/Testing
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] Explorer/VPT - Vice-présidence pour la transformation responsable/VPT-DUR/00 - DataSources/Testing
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/Traffic_EPFL.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing Traffic_EPFL.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 73MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 79MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 84MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 89MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 94MB
+Uploading a chunk to session (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+ Published 96MB
+File upload finished (ID: 1638:4376916933d542c99281d4aab684d80d-1:0)
+
+
+ 400000: Bad Request
+ There was a problem publishing the file '1638:4376916933d542c99281d4aab684d80d-1:0'. Could not make a data source from the given Hyper file: it must contain exactly one fact table.
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+ Published 73MB
+File upload finished (ID: 1638:d65318e357234d38bec50fc55c3f4b44-1:0)
+Published L2_vehicules.hyper (ID: 4904a47e-13db-4708-987f-d9cf7f54ffa1)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17774
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - Datasources/Testing
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - Datasources/Testing
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00-Datasources/Testing
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00-Datasources/Testing
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00-Datasources/Testing
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00-Datasources/Testing
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+ Published 73MB
+File upload finished (ID: 23025:b9cd561a970f43ea80550d7a590a3954-1:0)
+Published L2_vehicules.hyper (ID: 80cc7f71-a8c7-49fc-bbee-ec79fc2e36b4)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17775
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - DataSources/Testing
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - DataSources/Testing
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - DataSources
+Error message: La ressource spécifiée n''existe pas, ou vous n''êtes pas autorisé à la voir. Consultez le nom de votre projet et les autorisations.
+
+
+ 404: Élément introuvable
+ Élément introuvable: [Projects] VPT-DUR/00 - DataSources
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+ Published 73MB
+File upload finished (ID: 1638:3a60b9d6a94c47aea9e909e286634bb7-1:0)
+Published L2_vehicules.hyper (ID: 9daf02c4-2502-4ad4-b2ed-4d51c3c299e1)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17776
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+ Published 73MB
+File upload finished (ID: 1638:b283f4e705aa4ab2acbe81b3ce9e8720-1:0)
+
+
+ 403007: Forbidden
+ The datasource 'L2_vehicules' already exists and may not be overwritten without the 'overwrite' flag set to 'true'.
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Replacing an extract is not yet implemented
+Traceback (most recent call last):
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\execution\tabcmd_controller.py", line 45, in run
+ namespace.func.run_command(namespace)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\commands\datasources_and_workbooks\publish_command.py", line 57, in run_command
+ publish_mode = PublishCommand.get_publish_mode(args, logger)
+ File "C:\Users\cruz\AppData\Local\anaconda3\lib\site-packages\tabcmd\commands\datasources_and_workbooks\publish_command.py", line 113, in get_publish_mode
+ raise AttributeError("Replacing an extract is not yet implemented")
+AttributeError: Replacing an extract is not yet implemented
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+ Published 73MB
+File upload finished (ID: 23025:014e655d696d41bdae371ea8c1a54219-1:0)
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17777
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 23025:0b672cdd439c4e169aad0a14c409f714-1:0)
+Uploading a chunk to session (ID: 23025:0b672cdd439c4e169aad0a14c409f714-1:0)
+ Published 5MB
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 73MB
+Uploading a chunk to session (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+ Published 78MB
+File upload finished (ID: 1638:0a140d425b51440fa93a40461a648740-1:0)
+
+
+ 403007: Forbidden
+ The datasource 'L2_vehicules' already exists and may not be overwritten without the 'overwrite' flag set to 'true'.
+Exiting...
+Tabcmd 2.0.12
+Tabcmd 2.0.12
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server with chunking method (datasource over 64MB)
+Initiated file upload session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 5MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 10MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 16MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 21MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 26MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 31MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 37MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 42MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 47MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 52MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 58MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 63MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 68MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 73MB
+Uploading a chunk to session (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+ Published 78MB
+File upload finished (ID: 1638:a2686bda9515457888658423f8aebe86-1:0)
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17778
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17781
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17782
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
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+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17901
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17912
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17913
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
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+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/17948
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18102
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18103
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18151
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18152
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18848
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/18849
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19002
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19003
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19308
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19309
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19549
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19550
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19670
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.19, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+http://tableau.epfl.ch/#/datasources/19671
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server (16)
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+
+
+ 401001: Signin Error
+ Error signing in to Tableau Server (16)
+Exiting...
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: b7c4ab1b-4a34-4346-b210-7caa9d4476b5)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: 59d49277-bde8-4945-9e7a-a70117fdd5a7)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_vehicules.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_vehicules.hyper to server
+Published L2_vehicules.hyper (ID: 5cd485db-80a9-4df5-935c-88af63a9a841)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None
+Tabcmd 2.0.12
+===== Server: https://tableau.epfl.ch
+===== Username: cruz
+===== Token Name: None
+Site Tableau Server: Default Site
+Connexion au serveur...
+versions: 3.21, 2.4
+Signed into https://tableau.epfl.ch as user with id 7c08ec77-e83e-44f0-9057-f8dcf45389b1
+Querying single user (ID: 7c08ec77-e83e-44f0-9057-f8dcf45389b1)
+Tâche exécutée
+Querying all projects on site
+Publication de \u02bcdata/Resultats/L2_pietons_velos.hyper\u02bc sur le serveur. Ceci peut prendre quelques minutes...
+Publishing L2_pietons_velos.hyper to server
+Published L2_pietons_velos.hyper (ID: bec78278-5fc8-4591-b886-ca5c46fbf0ab)
+Le fichier a été publié sur le serveur à l''emplacement suivant :
+None

Event Timeline

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