Specify S4Y client application about statistics-contextualized HOT 4 OPEN

Italian Data
Upload Italian data for 2020 and 2021 scholastic years.
Upload data relating to Italian Private Schools (also of the year 2019)

French Data
Check data concerning French Schools: few or no schools resulting from the query selecting French Municipalities in each scholastic year (e.g., Paris).

from statistics-contextualized.

Front-end:
Improve the user experience in the interaction with the Geographic map component (improving the dynamism of the component, always adding the position of the Municipality selected by the user, etc.).

from statistics-contextualized.

Front-end:
Correct typo errors (e.g., Municipality in capital letter and lowercase, etc.) and possibly modify/enrich the service descriptions to provide further indications and information to the user.

from statistics-contextualized.

French Data Check data concerning French Schools: few or no schools resulting from the query selecting French Municipalities in each scholastic year (e.g., Paris).

The three French biggest cities (Paris, Lyon, Marseille) are split into municipal district. The municipal district code is used instead of LAU code.
I think that's the issue.

I fixed the French data extracted as CSV files:

• to put good LAU code instead of municipal district code
• to add a new variable "arm" keeping the municipal district code for the three big cities. This variable can be ignored. First, we will study if we can put this information in data for GF pilot.

New CSV data files (with suffix "20220719") are uploaded to the Interstat FTP server
Istat has to reproduce their process based on these new files.

from statistics-contextualized.