While I haven't regularly participated in Makeover Monday in the past, I found this week's topic to be quite interesting. Partially because as a mother, parental leave affected me. This week, I decided to visualize the story that stood out to me. The other reason why I wanted to participate in this week's Makeover Monday is because I visualized similar data when I made over data from a Huffington Post article on maternal leave in 2014. This was a meaningful reviz for me, because not only do I get to tell the story I found in the data but it also gives me the opportunity to compare my 2018 work to the 2014 work.
2014 Huffington Post Revizit
The following image is from a 2014 Huffington Post article which inspired me to see how I might visualize this data.
I originally used the story points in Tableau to visualize this data on paid maternal leave with a bar chart.
Four years later, here's how I visualized similar data (parental leave instead of maternal leave).
Looking at this chart a few days after I made it, I can definitely see some things I want to change or tweak. Maybe I'll visualize it again in four years to see what's changed in the data and my design.
With my banking background, I am fascinated by cryptocurrency. I discovered this comparison between Visa and PayPal and cryptocurrencies for processing transactions per second. Before I share my visualization, I want to share my observations about this visualization.
As I set out to reviz this chart, there were a few items that were top priority for me; changing the chart type to one that is more effective (in my opinion), changing the color scheme, and modifying the label use.
I found this image online and thought it had a great color scheme with the dark background and the light blue/teal that makes the individual images pop, which is what I wanted to carry over to the visualization.
The following visualizations provide a focus on the data. The first provides a focus on the comparison whereas the second provides a total to really show how few cryptocurrency transactions are processed per second compared to VISA. Additionally, the color scheme of the original visualization felt very bubble gummy to me and the shine on the bubbles is not an effective way to visualize data as it interferes with the readers' ability to comprehend the message the data is telling.
The above is an example of data visualization, whereas the following leans more toward visual analytics because of the conclusion on top of the pie chart. There are a lot of mixed feelings about pie charts. Some people despise them, some people love them. For me, I'm a believer of the best chart type for the data. In the example below, I believe a pie chart is an appropriate chart to show the relationship between the volume of cryptocurrencies and traditional payments. Additionally, by reading the title of the pie chart, one can understand that the bigger volume is related to traditional (and primarily VISA).
Project revizit complete! The visualization was really for me (though I did contribute to the monthly Storytelling with Data Challenge), and I am pleased with the first and second iterations.
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