Dear Community , while trying to analyze my dataframe, I faced a problem concerning which type of questions I should investigate using 3 columns , my dataframe presents lead activities and their id , in this dataframe I have 3 time columns ( created at , assigned at , updated at) , how to study the relation between it and which type of questions we should normally ask about this type of data ?
Thank you
I think more detail is needed on your data to help you forward.
A research question usually comes before looking at data, but now you have your data, and you should see from the research litterature, which interesting research questions you can answer from your data.
Dear Wassim Diai
for two columns , it is somewhat simple like correlation between two Pandas Data Frame columns in Python
for further illustration, have a look:
1. https://www.researchgate.net/post/finding_a_mathematical_relationship_between_2_columns_in_a_data_set
2. https://support.microsoft.com/en-us/office/relationships-between-tables-in-a-data-model-533dc2b6-9288-4363-9538-8ea6e469112b
3. https://www.cvent.com/en/blog/events/know-rows-columns-cross-tabulation-analysis
4. https://www.theanalysisfactor.com/wide-and-long-data/
Kind Regards
Qamar Ul Islam
Dear Qamar Ul Islam , thank you for your answer , I thought actually about the correlation but I have 3 time columns as I mentioned so if I'm going to study the relation between the 3 time columns (created at - updated at - assigned at ) it should be something describing this time series data.
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