Data-Abertes-Uy
It is a Python + Dash application with interactive open data views, I am currently using the company dataset in the day and the performance index in state purchases
site link in Heroku
Company on the day
Study of the data provided by AGESIC
Use Dash to visualize the data
Data quality
- File names do not follow a standard pattern: some begin with a prefix with the date (eg 092018_datos-book-montevideo.csv) but half of the files do not have this.
- The December-2019.CSV file and the November-2019.CSV file It is not clear what department they are, I assume that they are from Montevideo.
- The columns of the CSVs are not consistent, some have the columns: RUT, corporate name, type and others come with society name, process name, RUT number, BPS number
- I suppose there are types of company that represent the same as MS/Monis Mides?, Unipersonal/Unipersonal, Sociedad Ano? Nima/SA
DESCRIPTION OF SCRIPTS
app.py
It is the Dash app, there the layout and the callbacks are defined, all in Python.
Download_CSVS.py
Pare the XML and download the 73 CSVs in the /CSV folder
Parese_data.py
Arm a unique dataframe with the previous CSVs data.