Analytics to Inform Blog

REVIZIT: Parental Leave

7/27/2018

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).

The Deltas

The 2018 visualization has a title. In 2014, I used story points and had the navigation squares contain the message. In 2018, I used a single sheet dashboard, which lent itself to using a title.
I called out the US more in the 2018 visualization. In 2014, I labeled the data, so that the reader could see that the UK provided 52 weeks of paid maternal leave, whereas the US provided zero. In 2018, I took the labels off because the number of weeks for total parental leave that Estonia provided didn't really matter...the bar chart had the legend to show that it was over 160 and the US was still at zero. To highlight the absence of data (always a challenge), I added a dark red oval to the visualization to emphasize the fact that the US provided zero weeks of paid parental leave. Additionally, as I was about to post the visualization, I reviewed my title one last time and decided to change it to really spell out the point...the US is the worst for this particular measurement, whether it's compared to other counties in the G7 or the OECD.
The reference line is more descriptive.
Different color palettes. In 2014, I used a bright green which I think I was trying to correspond to the palette of the original visualization from HuffPo. In 2018, I opted for something a little more muted.

The Similarities

Bar charts rule. I contemplated other chart types but I thought it was important to show all of the data on paid parental leave. I wanted to show the US at the bottom at the list.
Reference lines rule. The reference line helps compare countries to the average and helps the reader conclude on whether an individual or group of countries is better or worse than the average.
From a data perspective, regardless of whether it's total parental or maternal leave, in four years, the US has not made any changes in paid leave for parents.

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.

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REVIZIT: Crypto Currency comparison

7/13/2018

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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.

The Pros
1. The reader can clearly see the big message--VISA processes a lot more transactions per second than the others in this visualization.

2. The labels are effective as providing the level of detail to show exactly how much each entity processes per second.

3. The article and source is provided.

The Cons
1. The logos are redundant. They are in the bubbles and below the bubbles.

2. The gray lines are unnecessary. A reasonable person would be able to understand that the 24,000 is associated with VISA.

3. The legend includes a color variation that a reader can't actually see in the chart. Perhaps the different colors were for illustrative purposes. Additionally, the smallest transaction in the legend is 20, but the smallest data point is seven. This requires me to visually judge to see if the bubble for the seven is actually smaller than the bubble in the legend for 20.

4. The position of the bubbles in the viz make it challenging to really compare each entity.

5. This may be more of personal preference, but pink with shine is an odd choice when discussing cryptocurrencies. The shine distracts from the bubble.

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.

Looking for someone to help you revizit your visualizations? Analytics to Inform can help. Contact us to learn more how we can be of service.

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REVIZIT: Parental Leave

2014 Huffington Post Revizit

The Deltas

The Similarities

REVIZIT: Crypto Currency comparison

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