Big numbers getting truncated

**What's wrong?**

When loading a csv file with big numbers the data on the table view where you select data types is correct, but the output data truncates the numbers. For example, the following number:
-22112248,96

Got converted (output only) to:
-2.211225e+07

Please note this is using european notation, that is "," as decimal separator.

Trying to reproduce the problem in Pandas I noted that when you print such number to your terminal you get "-2.211225e+07", but if you save it to a csv (using df.to_csv) the number ouputs correctly.

To correctly print the number on the terminal you need to include the following:
pd.options.display.float_format = "{:.2f}".format

**How can we reproduce the problem?**

I managed to reproduce it by importing a csv with this number:
-22112248,96

But it should work with similar numbers in size and format

**What's your environment?**
- Operating system: Windows 11
- Orange version: 3.37.0
- How you installed Orange: Windows installer

Start with the CSV import path and the table view where data types are selected, then trace how numeric values are formatted for output. Reproduce the case with -22112248,96 using European decimal notation and compare the displayed value with the CSV output; done means the output preserves the full number rather than scientific notation.

Written by the indexing model from the issue text.