After downloading the data we were to review and choose two variables that could be related and create an info-graphic from the variables. "The County Health Rankings are based on counties and county equivalents. The data is a variety of national and state sources that are standardized and combined using scientifically-informed weights."(County Health Rankings & Roadmaps, 2019).
The objective of this lab assignment is to practice the use of a number of different data visualization techniques, including bar charts and scatter plots, as well as the design of communication materials that combine maps and other graphics. We were to select appropriate chart types for our chosen data. We then created charts for data visualization, including scatter plots, bar charts, and a pie chart. Finally, we were to combine maps, charts, and text into a single data visualization product (above).
I chose "% uninsured" and "% frequent mental distress". I was unable to determine how "% frequent mental distress" was specifically determined, but feel the relationship to Mental Illness would be close. My hypothesis was that the states with higher mental distress would also have higher uninsured rates. The correlation being that those with mental illness not able to obtain treatment due to no insurance would lead to higher mental distress incidents. The scatter plot of the two variables shows some correlation but not as strong as I had suspected. The bar charts show the high and low states for the variable as well as the national, Florida and Alabama (my specific area). The area chart illustrates how few of the population are not insured. I also included a pie chart as well as a simple graphic to show 1 out of 25.
Reference:
County Health Rankings & Roadmaps. (2019). Retrieved from: http://www.countyhealthrankings.org/explore-health-rankings/our-methods [Accessed 8 Feb. 2019].
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