Hi @ghafourm, you did very good work in your analysis, I like the way you took it step by step in your analysis of everything, however, there are some things I’d like to point attention to if you don’t
kindly elaborate more on the introduction
you need to state some more things you observed from each analysis
work more on your visualization it is a bit shabby.
About not being able to upload the ipynb file, it seems to be an issue with the platform. Could you please report it to the Technical Support Team of Dataquest? Just click the ? button in the upper-right corner of the platform screen where you detected this issue, click Report an Issue, describe the problem, and send the ticket. Thanks!
Thanks a lot for the information. I am going to do it in my next post.
Another issue I noticed is about the graphics using Jupyter. When matplotlib is imported, the graphic object is created but not displayed unless you enable inline plotting (%matplotlib inline). I don’t have this problem when I run tthe same code on Jupyter on other platforms.
I checked again and I think the issue is resolved and the graphics are displayed fine. Few days ago, when I tried without %matplotlib inline the graphic objects were created, and after plt.show() it didn’t show the graphics but some warning messages like the ones I pasted below.