The “.ipynb” file uploaded to GitHub contains everything in one place.
This time, I adapted a slightly different approach. After a brief introduction, I analyze the data and immediately attempt to answer questions while pairing them with visualizations. In the end, there is a short conclusion to wrap it all up.
The Main objective was to analyze the dataset with the knowledge I got from Codecademy Data Analyst Path. It has taken me a few hours, working on it little by little throughout the weekend. The process was much faster now that I’m more familiar with pandas and similar libraries.
I am interested to hear your feedback on the following:
are the visuals comprehensive, easy to read and visually appealing?
Congratulations on completing the project. You put in a ton of effort on this!
it’s great that you been descriptive with the intro to the data, process (use of comments, A+), and findings. Anyone who isn’t familiar with the data set can easily follow along as you investigate it.
I would recommend putting the descriptions of the vizzes in the conclusion portion of the notebook. With the descriptions where they are now, I think it breaks up the EDA flow too much. You can number the visualizations and refer back to them at the end. What do you think? Rather, I think if you were doing a slide presentation then the discussion of those findings is in a good place b/c you’d go point by point of your findings.
I like that you mention other factors beyond GDP that would influence life expectancy, including access to healthcare (I’d add affordable health care too).
To answer your specific questions:
It’s up to you. These are just my random thoughts. I hope this helps.
Thank you for taking the time to review my project!
In response to your thoughts:
I actually considered including all the descriptions in the conclusion, but for some reason, I didn’t go with that approach. I don’t have a real explanation for my decision. My rationale behind it was to make it different from the first one, as I tend to stick to my comfort zone. However, stepping out of my comfort zone seemed like a good idea. Creating a PowerPoint presentation is certainly a great suggestion, and I plan on doing that once I complete the entire course. I want to fulfill my commitment to the course material.
Thank you for the brainstorming, the updated dataset, and that amazing animated graph!
I will definitely take a closer look at all of them in the near future.