After the first guided project and browsing several notebooks from fellow learners, I decided to put more work into creating a neater project with better formatting.
Thanks for the projects you all shared and especially the tips from @swar.joshi I think this second project looks way better than the first one.
Thank you awesome DataQuest community!
Visualizing Earnings Based On College Majors.ipynb (549.1 KB)
Click here to view the jupyter notebook file in a new tab
@veratsien!! YAAASS!
I love how this looks! Absolutely brilliant! spot on comments, great formatting of the markdowns and SUCH AWESOME visualisations! (I am yet to learn them! So excited about them now! )
This one looks way better for sure with all the extra skills you now have up your sleeve! 
If i may make one more suggestion: If you would provide some more information on the background of the project, things like: What is the dataset, where did you get it from, what the aim of your analysis itself is and then what you found out. I think it will do wonders for someone who will be reading it. Because as a reader who has no idea of the dataset itself, it made it difficult for me to follow. (In product development terms, think about the end-user )
Fantastic job, however! Also, the last point hit hard! Sexism is indeed a bane! 
Congratulations on this one and I am looking forward to seeing more of these projects! 
Thank you for the compliment! It means even more coming from you since you inspired and helped me with better formatting! Thanks again for the awesome tips! 
I really appreciate the suggestion of adding information about the background of the project. That’s exactly the kind of feedback I can use since I was wondering about what’s the convention of what to put at the beginning of a project. ‘think about end-user’ is such a great way to put it into perspective! Once again, the hero comes to rescue.
It’s really good to hear that my project made you excited about learning the module. Looking forward to seeing your new projects too! 
That’s a nice project. You performed good.
Thank you! 