The IBM Watson Developer Advocacy team has developed an open source tool called PixieDust, which makes creating data visualizations and dashboards quick and easy in Jupyter Notebooks—something that previously required in-depth knowledge of libraries such as matplotlib or Seaborn. In this video, David Taieb gives you a high-level overview of PixieDust and explains how you can use it to increase your productivity with easy-to-create visualizations of your data right in your notebooks, allowing you to explore your data without needing a computer science degree to build data charts and graphs!

Join David Taieb, Prithwish Chakraborty, and Faisal Farooq for a more comprehensive overview of PixieDust and InsightFactory at their JupyterCon session on August 24, 2017, in New York.

Article image: Screen from "How can I add simple, automated data visualizations and dashboards to Jupyter Notebooks?" (source: O'Reilly).