That's since some "dates" are kept as text, some are converted wrongly.
Importing csv file do not rely on automatic conversion. If that's legacy wizard, on third step apply Date to this column with MDY format.
I'm not sure that is correct result. Let take these two records in initial file
Most probably in #54 in source csv file it was 11/08/2019. Since both 11 and 08 are less than 12, Excel was interpreted $54 as date in local format and converted to Aug 11. Text to Columns on result keeps converted date as it is, thus we have
Most probably in #54 it shall be Nov 08, or 2019-11-08 in ISO format. Same for some other records.
Thus I'd suggest to convert properly source csv file, not to transform intermediate files.
It's better not to click on csv file to open it, but import csv into the blank Excel file. How to do - it depends on which version of Excel you are.
Assuming one of the latest for Windows Desktop. Here is also two options. You may enable legacy From text connector in options
and use it as
for older Excel that's the only option by default.
After you select the file it'll be 3-steps wizard, practically same as for Data->Text to Columns which @Khizar_Hayat used. Here select separation by delimiter, your delimiter, and on 3rd step of the wizard check Date for the column with dates and select MDY format.
Another way is default for the latest Excel option uses Power Query
which is much more powerful and most probably will give you correct result without additional manipulations, but it requires to invest bit more time to start working with it.
