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‎provider/README.md‎

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@@ -363,16 +363,16 @@ The authenticated reports are monthly, historic flat files that may be pre-gener
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**`data` Filename:** monthly file named by year and month, e.g. `/reports/YYYY-MM.csv`
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**`data` Payload:** monthly CSV files with the following structure:
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| Name | Type | Comments |
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| ------------------ | ----------------------------------------- | ------------------------------------------------ |
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| Provider ID | UUID | A UUID for the Provider, unique within MDS. See MDS provider_id in [provider list](/providers.csv). |
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| StartDate | date | Start date of trip the data row, ISO 8601 format, local timezone |
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| Duration | string | Value is always `P1M` for monthly. Based on [ISO 8601 duration](https://en.wikipedia.org/wiki/ISO_8601#Durations) |
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| Special Group Type | [Special Group Type](#special-group-type) | Type that applies to this row |
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| Geography ID | [Geography](/geography) | ID that applies to this row. Includes all IDs in /geography. When there is no /geography then return `null` for this value and return counts based on the entire operating area. |
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| Vehicle Type | [Vehicle Type](/agency#vehicle-type) | Type that applies to this row |
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| Trip Count | integer | Count of trips taken for this row |
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| Rider Count | integer | Count of unique riders for this row |
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| Column Name | Type | Comments |
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|----------------------| ----------------------------------------- | ------------------------------------------------ |
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| `provider_id` | UUID | A UUID for the Provider, unique within MDS. See MDS provider_id in [provider list](/providers.csv). |
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| `start_date` | date | Start date of trip the data row, ISO 8601 format, local timezone |
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| `duration` | string | Value is always `P1M` for monthly. Based on [ISO 8601 duration](https://en.wikipedia.org/wiki/ISO_8601#Durations) |
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| `special_group_type` | [Special Group Type](#special-group-type) | Type that applies to this row |
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| `geography_id` | [Geography](/geography) | ID that applies to this row. Includes all IDs in /geography. When there is no /geography then return `null` for this value and return counts based on the entire operating area. |
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| `vehicle_type` | [Vehicle Type](/agency#vehicle-type) | Type that applies to this row |
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| `trip_count` | integer | Count of trips taken for this row |
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| `rider_count` | integer | Count of unique riders for this row |
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#### Data Notes
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**September 2019** `/reports/2019-09.csv`
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```csv
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Provider ID,StartDate,Duration,Special Group Type,Geography ID,Vehicle Type,Trip Count,Rider Count
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provider_id,start_date,duration,special_group_type,geography_id,vehicle_type,trip_count,rider_count
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-09-01T00:00-04,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,scooter,1302,983
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-09-01T00:00-04,P1M,low_income,44428624-186b-4fc3-a7fb-124f487464a1,scooter,201,104
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-09-01T00:00-04,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,bicycle,530,200
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**October 2019** `/reports/2019-10.csv`
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```csv
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Provider ID,StartDate,Duration,Special Group Type,Geography ID,Vehicle Type,Trip Count,Rider Count
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provider_id,start_date,duration,special_group_type,geography_id,vehicle_type,trip_count,rider_count
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-10-01T00:00-04,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,scooter,1042,786
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-10-01T00:00-04,P1M,low_income,44428624-186b-4fc3-a7fb-124f487464a1,scooter,161,83
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-10-01T00:00-04,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,bicycle,424,160
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**November 2019** `/reports/2019-11.csv`
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```csv
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Provider ID,StartDate,Duration,Special Group Type,Geography ID,Vehicle Type,Trip Count,Rider Count
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provider_id,start_date,duration,special_group_type,geography_id,vehicle_type,trip_count,rider_count
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-11-01T00:00-05,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,scooter,834,629
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-11-01T00:00-05,P1M,low_income,44428624-186b-4fc3-a7fb-124f487464a1,scooter,129,66
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48415839-3e38-4ba5-a557-e45fb4e6a0a3,2019-11-01T00:00-05,P1M,all_riders,44428624-186b-4fc3-a7fb-124f487464a1,bicycle,339,128

‎providers.csv‎

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@@ -45,4 +45,5 @@ Revel,89301314-1210-4126-a213-3c41423f2ac5,https://gorevel.com/,https://opendata
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Troopy,2b684c7c-f8ad-4c65-92f0-b9e57aaa7dd3,https://www.troopy.com,https://mds.vulog.io/mds/fleets/TROOPY-FRPAR,https://gbfs.vulog.io/mds/fleets/TROOPY-FRPAR/gbfs
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BCycle,938D9F8B-B8D3-46CC-9276-F4A8C4FA3610,https://www.bcycle.com,https://mds.bcycle.com,https://gbfs.bcycle.com
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Tembici,46b28e68-8ecb-4875-b97e-836fd5e1930f,https://www.tembici.com.br/,https://api.tembici.com.br/mds,https://api.tembici.com.br/gbfs
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Whoosh,3f8908a7-86fa-450d-8889-5d49077e06cd,https://whoosh.bike,https://mds.whoosh.bike,
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POPPY Mobility,5c869736-797f-4244-9132-fb50a22d1bfd,https://www.poppy.be/,https://poppy.red/mds
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Whoosh,3f8908a7-86fa-450d-8889-5d49077e06cd,https://whoosh.bike,https://mds.whoosh.bike

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