Data Sources: https://ncdrisc.org/data-downloads-adiposity.html
https://data.worldobesity.org/rankings/
Continuing with examining obesity data from last week, this week I decided to focus on examining trends in the United States. I used Data Wrapper to create a few visualizations regarding adulthood obesity. As expected, the trends seem to follow an upward trend as demonstrated by the global obesity trends from last week.
Below: Same thing as depicted above but in a map format. Advantage of the chart above is that the prevalence of obesity is ranked/order however it may be harder to read. The map below provides additional clarity.
Closing Notes: While Data Wrapper was easy and intuitive to use, I felt it was also limiting in many ways, especially compared to a tool such as Tableau. It was difficult to clean data by deleting rows, getting rid of values, summing/grouping, etc. but it definitely has its appeal in being convenient and intuitive. However, for my purposes, to get a better picture of the effects of poverty, socioeconomic status, education/nutrition knowledge, etc. on poverty, I need a stronger tool (such as Tableau). I also thought it was limiting how I couldn't change the size or style or fonts to make it more web accessibility friendly. It was difficult to change the colors as I had to manually change all 50 state colors by hand and check if they upheld the web accessibility ratio as well.
Lessons learned: Kepler.gl or Tableau might work better in the future for showing each state but for this week I was unfortunately unable to clean the data enough to show the results I wanted to show.