12-02, 12:00–13:30 (UTC), Workshop/Tutorial II
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 workshop, 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 workshop, the members can build and present animated data stories independently.
After a brief introduction to the technology, workshop participants will see a step-by-step walkthrough of creating an interactive, animated data story within Jupyter.
Outline of the workshop:
- Introduction to Vizzu, the open-source C++/JavaScript lib behind ipyvizzu
- Key concepts when using a generic chart building and morphing engine.
- The four key parts of the animate method - the central element of ipyvizzu-story
- Adding data with and without using pandas
- Chart configuration options
- Styling
- Animation options
- Building a story (slides, steps)
- Q&A
Previous knowledge expected
Peter is the CEO & Co-Founder of Vizzu.
His primary focus is understanding how Vizzu's innovative approach to data visualization can be put to good use. Listening to people complaining about their current hurdles with building charts and presenting them is his main obsession, next to figuring out how to help data professionals utilize the power of animation in dataviz.
Peter has been involved with digital product development for over 15 years. Earlier products/projects he worked on cover mobile app testing, online analytics, data visualization, decision support, e-learning, educational administration & social. Still, building a selfie teleport just for fun is what he likes to boast about when asked about previous experiences.