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The goal of the project is to create a responsive and interactive plot to explore the correlation between health risk factors and demographics. The Javascript-D3 library was used to create multiple and interactive scatterplots in addition to HTML, CSS, Bootstrap, and Javascript.

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#Data_Journalism

Folder: D3_data_journalism Visualization A scatter plot that represents each state with circle elements.

Folder: D3_data_journalism_bonus More Data, More Dynamics

Visualization It includes more demographics and more risk factors. with additional labels in a scatter plot. There are click events so that users can decide which data to display. Transitions are animated for the circles' locations as well as the range of axes. There are three risk factors for each axis. Tooltips display the data that the user has selected.


You'll need to use python -m http.server to run the visualization.

This will host the page at localhost:8000 in your web browser.


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The goal of the project is to create a responsive and interactive plot to explore the correlation between health risk factors and demographics. The Javascript-D3 library was used to create multiple and interactive scatterplots in addition to HTML, CSS, Bootstrap, and Javascript.

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