Data Viz Example Workshop

This workshop is a preview of how to use streamlit to create and display interactive plots.

This is a preview of the Interactive Data Visualizations in Python Lesson currently in the Carpentries Incubator. In this demo we will work towards creating this interactive dashboard of the gapminder data set. For UW Audiences, there is also a version published at UW.

To follow along:

• Sign-in to GitHub or create an account.
• Click the , recommend right clicking and choosing open in new tab so you have the directions below still in a tab.
• You will get screen asking if you want to continue with GitHub credentials. Click "Continue"
• You will get pop-up about authorizing Gitpod to connect with GitHub. Choose the "Authorize gitpod-io" option.
• Select editor option will pop up, choose VS Code - BROWSER option. Leave "Latest Release" unchecked and click green "Continue" button.
• On the left-hand side click the "Remote Explorer" option, looks like a computer monitor with a circle containing >< in the lower right of the icon.
• You should see the Port 8501 listed, click on it and choose either the middle icon for side-by-side display or the right one for opening it in a new tab.
• If you don't see Port 8501 listed, type streamlit run app.py in terminal window at the bottom of the page.