Makeover Monday Week 10

This week for the #Makeover Monday challenge, the data set focused on obstetric fistula with several indicators of health and income. The data was fascinating to look through and had a wealth of information showing data from 1960-2017. I hadn’t heard about obstetric fistula and enjoyed learning more about the topic, here is a link to the data dictionary (providing great context to the importance of each data point). The organization that works to end obstetric fistula is Operation Fistula, I encourage all to visit their site to learn more about the work they do. The original graph is below.

Original visualization by Operation Fistula.

What I liked about the graphic:

  • Get a better idea about where there is a high teen birth rate.
  • Map allows us to see areas impacted most.

Questions I had after seeing this viz included: are there other continents/countries in the world that are impacted, or is there a reason why Africa is the focus? Are there other health indicators that can be examined?

I took time to look through the data dictionary and decided to focus on health systems — births attended by skilled health staff & nurses and midwives per 1,000 births. I was curious to see life expectancy between men and women. Finally I also was interested to see how widespread early marriage across different countries. The viz below shows a focus on these indicators. The three filters I thought would be most interesting to have were a filter for the country, year, and whether it is/isn’t a fistula country. Please see the viz below.

This can be viewed on Tableau Public.