Screen Link:
https://app.dataquest.io/m/469/guided-project%3A-popular-data-science-questions/10/just-a-fad
Hello,
Here is my Guided Project: Popular Data Science Questions for review and feedback.
Thoughts as I was working on it:
Looked at the tags data across yearly and monthly timeframes. The monthly time frame allowed me to notice more subtle patterns in the data.
I used plt.plot_date to make a time series line chart. This seems like a great way to take advantage of the datetime format.
For the co-ocurance matrix - I found that code on Stack Overflow. It’s pretty complex and I didn’t come up with it myself. I have trouble even following it but I got it to work. After I implemented it in my project, I looked at the DQ solution and was surprised to see how simple they made it. Either way, it looks like the code I found yielded the correct answer. I was able to put it in a heat map to make a nice visual.
Project Inspiration Credit to: @jmerrell247 and @semenchuk.ivan. Great job guys! Your projects helped me out along the way.
Thoughts, feedback, and better ways of doing things is always appreciated!
Popular Data Science Questions-Copy1.ipynb (3.4 MB)
Click here to view the jupyter notebook file in a new tab