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When you have a data frame that you have created from importing and loading a CSV file and I want to start Data Exploration. I have started Checking for Missing Values and I have decided to deal with these different missing values in a different way starting from dropping some rows or even replacing some.

Now when I want to start checking for unique values I checked for the duplicated and I hade the result ( 0 Duplicates) Now when checked for Unique values I have unique Values enter image description here

My question : What is the best way to deal with these unique values? should I remove them all? or what exactly I have to do with them.

I am still new to the Data exploration field and I have my task to be done with so all your help and suggestions are really so appreciated.

Celine Ahmad
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  • What are you trying to do? – Mortz Feb 24 '22 at 13:19
  • I have a dataset that I need to do a Data exploration for it and visualization and analysis So I found the missing values and handled all missing values and now in the unique values. So after finding out the unique values should I do a specific thing to them or just find them out and keep them in my dataset? – Celine Ahmad Feb 24 '22 at 13:30
  • It is difficult to say what you could do with the unique values without a description of the analysis or end result you are expecting. – Mortz Feb 24 '22 at 13:42
  • If you want it to make a prediction with the data then delete those columns that will not contribute to you in the prediction. In general I find no reason to hold a column whose entire information is the same – AvivSar Feb 26 '22 at 18:03

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