The amount of data we collect have exploded over the past two decades, and with all that data, we need a way to synthesize and communicate them. Data visualization can be as simple as line charts and bar charts in a stock app, and as complex and sophisticated as a visual essay in the New York Times or The Pudding.

In this session, we will look at examples of data visualization, different types of dataviz and data art, and how to explore data and find insights that we can craft a design around.

Please have a Github account ready, as well as pen and paper (color pens/pencils highly encouraged!). And if you have a dataset you’ve been wanting to visualize, please bring that for us to play with also.

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This is part 1 of a three-part series on data visualization:
1. Design
2. Code with SVG & D3.js
3. Industry panel