LillianYKim
commented
4 years ago kmeans clustering
- 2 countries: multiple years (specific one developing country v one developed country: different years become points)
- all the countries (choose year(s) to look at)
Detailed idea of the plots (e.g. what variables to use for choropleth; what plot, if any, to make in addition to choropleth; whether to use shiny app for interactivity)
choropleth of world For this product, we are considering using a leaflet
connect natural disasters to infant mortality: by writing
bar/line graphs will further hone in on how different developing vs. developed countries are disproportionately affected by climate-related disasters depending on if they're an agricultural-based society. less favored areas (more effects from climate change) have more prevalent poverty in the environment and infant mortality differences, so we could more starkly compare a chosen group of say 5 countries (versus the 50 displayed on the chloropleth) to note these differences.
scatterplot (Bella) Something I think I could work on is CO2 emission vs GDP by country and time, as an introductory visualization to our blogpost, because other environmental and social/public health are being integrated in the choropleths and the shiny app. This might reveal a more interesting insight at the end of the blogpost project as we will be able to see how relatively more richer countries are affected by those environmental factors compared to how much they contribute to climate change.