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Sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

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Data Journalism and D3

Newsroom

Background

I analyzed the current trends shaping people's lives, as well as creating charts, graphs, and interactive elements to help readers understand my findings.

The editor wants to run a series of feature stories about the health risks facing particular demographics. I am sniff out the first story idea by sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

The data set is based on 2014 ACS 1-year estimates: https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml. The current data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."

4-scatter

  • Created a scatter plot between two of the data variables such as Healthcare vs. Poverty or Smokers vs. Age.

  • Included state abbreviations in the circles.

  • Created and situated axes and labels to the left and bottom of the chart.


Why make a static graphic when D3 lets you interact with the data?

7-animated-scatter

1. More Data, More Dynamics

Included more demographics and more risk factors. Placed additional labels in scatter plot and gived them click events so that users can decide which data to display. Animated the transitions for circles' locations as well as the range of axes.

8-tooltip

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Sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

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