2018 Open Data Challenge Workshop #1: Plotting with Plotly & Pandas

ABOUT THE WORKSHOP

Python is increasingly being used for data science, but it’s still easiest to share results on the web. Luckily the Plotly team has written libraries for both Python and Javascript, and you can migrate from one to another by simply sharing the JSON used to build the chart. In this workshop we’ll be using the Python Pandas library in a Jupyter Notebook to do some basic data analysis. Then we’ll create some data visualizations with Plotly, and then transfer our final visualization to Javascript.

All participants will need their own laptop. You do not need to install any software, all work will be done in a web browser. You will need to register for two free accounts to follow along. First, create an account on Microsoft Live to work on the notebook in a web browser. You can register for an account here:

https://notebooks.azure.com

Participants will also need to create a GitHub account for the final segment of publishing a chart with Javascript. We will be editing a GitHub Gist to view our final chart on bl.ocks.org. (You don’t need an account on bl.ocks.org, it will automatically display anything you make with GitHub Gist.)

https://github.com/

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ABOUT THE PRESENTER

Chris A. Williams is a data journalist residing in Philly who can’t quit Delaware. He spends way too much time playing with open data and thinking about colors. You can find him at @enactdev across the internet.

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WHAT TO BRING

• Laptop
• Register for an account at https://notebooks.azure.com
• Register for an account at https://github.com/

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ABOUT THE OPEN DATA CHALLENGE

From February through May, we'll be hosting a series of workshops and events focused on making Delaware the most accessible state in the country in partnership with DelDOT and DNREC. We call this the Open Data Challenge.

The Open Data Challenge culminates in a "Data Jam", a month long hackathon where teams build working prototypes and have the opportunity to win cash prizes for their work. You can get more information by visiting OpenDataChallenge.com.