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

Home Page: https://github.com/capflaum/DataJournalism_D3.js

CSS 9.18% JavaScript 75.97% HTML 14.85%
d3-scatter-plot census-bureau

datajournalism_d3.js's Introduction

Data Journalism and D3

Newsroom

Background

Welcome to the newsroom! You've just accepted a data visualization position for a major metro paper. You're tasked with analyzing the current trends shaping people's lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings.

The editor wants to run a series of feature stories about the health risks facing particular demographics. She's counting on you to 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 included with the assignment is based on 2014 ACS 1-year estimates from the US Census Bureau, but you are free to investigate a different data set. The current data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for "margin of error."

Core Assignment: D3

Scatter plot between two of the data variables: 'Poverty vs. Obesity'. Circles include mouseover tooltip with 'State' name, 'Poverty Rate', and 'Obesity Rate' per state.

Accesible through assets/js/app.js

image


Bonus:

Interactive D3 scatter plot

Accesible through assets/js/bonus.js

7-animated-scatter

datajournalism_d3.js's People

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