Created an interactive display which showcases 9 different correlated relationships between smoking, physical activity, and median househod income and three health indicators. Website is hosted through Github Pages: https://ashok-bidani.github.io/CDC-Data-Display/.
The data in this project is distributed across 51 circles, each of which represents the statistic for a particular state (or the DC area). The three X variables are shown below the X axis and are health impactors. Each of these has a substantial correlation with the three health indicators shown to the left of the Y axis (these three health indicators are the Y variables). Clicking on an axis label will change the axis and the graph to reflect the new data.
The three X variables are:
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Smoking (percentage of state population that are current smokers)
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Physical Activity Last Month (percentage of state population that exercised at least once in the previous month)
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Median Household Income (median household income for the state, in dollars).
The three Y variables are:
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Depression (percentage of state population who has ever been told they have a form of depression)
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Heart Attack Ever (percentage of state population who has ever been told they have had a heart attack)
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Diabetes Ever (percentage of state population who has ever been told they have diabetes).
The default relationship is set to Smoking (%) versus Heart Attack Ever (%).
Here is a video of myself demonstrating use of the display (I show 6 relationships of the possible 9).
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Centers for Disease Control and Prevention (CDC), https://chronicdata.cdc.gov/Behavioral-Risk-Factors/BRFSS-2014-Overall/5ra3-ixqq
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US Census Bureau, https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml