Handle different languages

[pmayd]

The wrapper is downloading data in the German format (commas as decimals etc.) - so pandas doesn't recognize the columns as numbers. We would have to do it manually. Would it be possible to pass arguments similar to pd.read_csv(decimals=",", thousands=".") And have missing values as NaN instead of "-"? If I remember correctly, Michael said something about an English API endpoint that delivers data in a format that works better for pandas.

TODOs:

• compare Postman/raw data from API with our package when downloading the same table with language de and en
• implement a handling for these languages

[pmayd]

@bergnerjonas here what we discussed:

• it may be that Regionalstatistik does not have support for en so we can drop it there
• when there is no data, we should not go to additional API requests like /find or /catalogue to get the label for a given code
• we can try to parse the repeating code column names to get the right names, but we should investigate first how the switch to en is supported in different databases

[bergnerjonas]

Both GENESIS and Zensus currently support switching to 'en' and return proper translations. I have removed the support for Regionalstatsistik.

[pmayd]

Very good, I will review your PR this week!