07-14, 11:55–12:40 (Europe/Dublin), Liffey Hall 2
Sharing and explaining the results of your analysis can be a lot easier and more fun when you can create an animated story of the charts containing your insights. ipyvizzu - a new open-source charting tool for Jupyter & Databricks notebooks and similar platforms, enables just that with a simple Python interface. In this talk, the creator of ipyvizzu shows how their technology works and provides examples of the advantages of using animation for storytelling with data.
Links:
- ipyvizzu - animated charts within the notebooks
- ipyvizzu-story - this adds the presentation functionality
- slides to download
In this talk we'll cover the following topics:
- The problem with the well-known chart taxonomies: starting from "what would you like to show"
- Creating a generic chart morphing engine
- Advantages of using animation for storytelling - from the presenter's and the audience's perspective
- Examples and best practices of using ipyvizzu
none
Expected audience expertise: Python –some
Abstract as a tweet –Create animated data stories in Jupyter & Databricks notebooks with ipyvizzu using Python. Sharing your insight and engaging your audience is now much easier and more fun! More info:https://github.com/vizzuhq/ipyvizzu
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.