#MakeoverMonday is a weekly data visualization exercise led by Eva Murray and Andy Kriebel. They post a data set and original viz - and we improve upon it! To participate or for more information, visit the Makeover Monday website.
2021 week 2: Gender Inequality (#Viz5)
Below is the original visualization. It depicts the gender disparities in adolescent HIV in Sub-Saharan Africa.
First, two questions:
1) What works?
- Strong statement of need based on data written out in text as well as graphical formats.
- Shows many different metrics, with comparisons between male and female on the right.
- Inclusion of logos in header.
2) What doesn't?
- There are more efficient and visual ways to show the discrepancy between male and female.
- Some of the colors are muted and makes the visualization difficult to read.
- Different colors used across different metrics makes the viz a little difficult to interpret.
Click here for the full interactive viz on Tableau Public.
- Focused on creating a custom color data set based on the two logos provided. From there, established consistency in coloration across metrics.
- Added logos as images to the dashboard.
- Simplified the relationships between metrics, i.e. put the HIV new infection total as a bar chart with the HIV new infection rates as a line within the same chart. AIDS death total and rates share a similarly formatted graph positioned below. You can see the trend lines for the rates is declining, with the total population still disproportionately affecting the female population.
- Instead of a formal legend for the graphs on the right, the header showing female and male correlates to the colors used in the graphs below.
- The geographic heat map also acts as a filter in the live viz, which helps in exploring the HIV new infections and AIDS deaths for each country included in the analysis.