11-11, 09:00–10:30 (America/New_York), Music Box (5th floor)
Sharing and explaining the results of your analysis can be a lot easier and much more fun when you can create an animated story of the charts containing your insights. ipyvizzu-story - a new open-source presentation tool for Jupyter & Databricks notebooks and similar platforms - enables just that using a simple Python interface.
In this tutorial, one of the creators of ipyvizzu-story introduces this tool and helps the audience take the first steps in utilizing the power of animation in data storytelling. After the tutorial, the members can start building and presenting animated data stories independently.
After a brief introduction to the technology, participants will see a step-by-step walkthrough of creating an interactive, animated data story within Jupyter.
Outline of the tutorial:
- Key concepts when using a generic chart building and morphing engine.
- The four essential parts of the animate method - the central element of ipyvizzu-story
- Adding data with and without using pandas
- Chart configuration options
- Animation options
- Building a story (slides, steps)
Previous knowledge expected
Peter is the CEO & Co-Founder of Vizzu.
His primary focus is finding and utilizing use cases matching Vizzu's innovative data visualization approach. Peter has been involved with digital product development for over 15 years. He worked on products covering mobile app testing, online analytics, data visualization, e-learning & educational administration. Still, building a selfie teleport for fun is what he likes to brag about when asked to share previous experiences.