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created fetch_tse_data #208

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merged 13 commits into from
May 10, 2017
Merged

created fetch_tse_data #208

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13f0843
created fetch_tse_data
rafonseca Mar 31, 2017
37cdcfe
created 2017-03-30-rafonseca-use-data notebook
rafonseca Mar 31, 2017
bd2ffb8
files are now in the proper directories
rafonseca Mar 31, 2017
1470919
trying to fix wrong commit on old notebooks
rafonseca Apr 4, 2017
c4be1d6
added some requested modifications
rafonseca May 9, 2017
7f736e2
output filename has dynamic date
rafonseca May 10, 2017
650b39c
updated notebook to read translated file
rafonseca May 10, 2017
2e56dd6
translate headers and labels before exporting
rafonseca May 10, 2017
fa503c8
change dtype on import to reduce RAM usage
rafonseca May 10, 2017
499d0af
corrected translation
rafonseca May 10, 2017
a0d1d24
autopep8 on it
rafonseca May 10, 2017
a1826c1
corrected translation
rafonseca May 10, 2017
3e2ad7d
add tse related data and script
rafonseca May 10, 2017
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5 changes: 5 additions & 0 deletions CONTRIBUTING.md
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Expand Up @@ -147,6 +147,9 @@ fetch_latest_backup('data/')
- Agreements: `YYYY-MM-DD-agreements.xz`
- Amendments: `YYYY-MM-DD-amendments.xz`

##### Electoral information
1. `src/fetch_tse_data.py` downloads datasets files from TSE website and organize them in the dataset `data/YYYY-MM-DD-tse-candidates.xz`.

##### Companies and Non-Profit Entities with sanctions (CEIS, CEPIM and CNEP).

1. `src/fetch_federal_sanctions.py` downloads all three datasets files (CEIS, CEPIM and CNEP) from official source. The script gets the lastest version available for each dataset, unpacks, translates columns to english and saves them into `data/`. The files are named as follows:
Expand All @@ -165,6 +168,8 @@ All files are named with a [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) da
1. `data/YYYY-MM-DD-companies.xz`: Dataset with suppliers info containing all the fields offered in the [Federal Revenue alternative API](http://receitaws.com.br) and complemented with geolocation (latitude and longitude) gathered from Google Maps.
1. `data/YYYY-MM-DD-congressperson_relatives.xz` contains data on the relatives of congresspeople and the nature of their relationship.
1. `data/YYYY-MM-DD-congressperson_relatives_raw.xz` also contains data on the relatives of congresspeople, but is only created if `src/get_family_names.py` fails to handle some names.
1. `data/YYYY-MM-DD-tse-candidates.xz` contains information about politicians candidacy over the last years. Can be used to extract a list of all politicians in Brazil.


## Four moments

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