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That there are around 1lkh values of customer ids are missing so can we miss that?

If I am having the date format in dd-mm-yyyy hh:mm:ss in some cells and another format in m-dd-yyyy hh:mm:ss then how can we bring in a same format yyyy-mm-dd so that calculation of year becomes easy

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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html
refer to pd.to_datetime documentation u can convert column to your required format

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