Thanks for all your hard work on this final project! You got an A-. Here are some comments:
The word cloud of tweets doesn't add very much. What do we learn by seeing a visualization of how "health" correlates with "nutritional"? I feel like I want to see more explanation of diachronic changes in food intake: in what years were there famines, in some places?
2: There should really be some separation between those countries with the highest and the lowest GDP: it goes, West Bank, then United States, then Syria. Seems almost random.
2.2: In some cases there seems to be an arbitrary amount of detail: having established that sex differences don't account for very significant differences in food intake, why is this plotted in two different layers of a map? Are we meant to switch back and forth and see any significant differences? To me, a lot of this analysis feels exploratory, but could have been honed more, in order to tell a more specific story. For instance, the dramatic change in intake among countries of the former USSR.
Video: Full-screening your web browser would help make your presentation look cleaner—we don't need to see all the other tabs you have open.
Hi @QMSS-G5063-2022/teaching_team ,
This [9f67734](https://github.com/QMSS-G5063-2022/Group_S_Nutrition/commit/9f677347c0a1bd3c5ec2656faa191aae564694e5) is group S submission of proposal, looking forward to your suggestions and comments!
Best, Group S