Link:Mobile App Store ( 7200 apps) | Kaggle
I wonder how to find the wrong row(the row with missing data) from dataset(Appsotre.csv).
According to the answers from above link, I wrote my code as below which comes up with an empty list.
for each_list in ios:
@g.ymsiliusu: may I know you logic behind doing this and can you also provide the DQ mission link?
Here is the DQ mission link:Learn data science with Python and R projects
" each_list is not equal to ios_header" means something lack in each_list, which indicates wrong data.
I used your code and came up with the same result: an empty list. I believe this to be the correct result. It’s been a while since I did this guided project but if my memory is correct, I don’t believe that
ios had any rows with missing data…just the google playstore data did. I think the ios data might have had a duplicate but I’m pretty sure it didn’t have missing data like google does.
Thank you for your answer very much!