This week was a fun and challenging week as we learned about and created infographics. It was fun to create the infographics themselves, but challenging to figure out the best methods and practices in analyzing raw data.
We used 2018 County Health Rankings National Data from countyhealthrankings.org. I chose to move forward with the two values: Unhealthy Mental Days and Premature Dealth. I choose these two variables because those that struggle with mental health die before their time due to depression, anxiety, and/or a combination of similar issues. Both variables are normalized by relating their value to all counties within each state in the USA. For example, the poor mental health days is normalized as the average number of reported mentally unhealthy days per month per ctizen. The normalized premature rate is the “age-adjusted years of potential life lost rate per 100,000.”
Below, I created a scatterplot of the normalized data. I choose to keep the scatterplot in a pretty traditional format; blue with circle points. When trying out the different styles of multicolor, bicolor points, and different shapes, the scatterplot drew too much attention away from the choropleth maps.
Keeping in touch with subtle light greys, that match with underlying hues of the choropleth USA maps, I created a statement based off of the scatterplot that summarized the data. To further provide evidence of this statement, I used a statistic from the National Institute of Mental Health, and represented it with a pie chart.
I found it tricky to create this infographic’s layout and what color ramp to use because I did not want to use bright/disrespectful hues on such a series topic. I concluded to use darker, more monotone colors, such as blue, purple, and grey. When deciding the overall layout of the infographic, I knew that I wanted the USA choropleth maps as they contained the most data. I played these maps in the center and middle of the layout with the “brighter” hues I had chosen to place them at the top of the color hierarchy. I placed the supplemental bar graphs, pie chart, and statement in grey under the maps. Lastly, I used blue to represent the scatter plot as this was important information. I divided the top half of the layout area with the scatterplot and title. Because the scatterplot was blue, I used purple for the title to place the two colors already used for the USA maps.
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