Building Streamlit apps that enable business users to explore data on their own is an excellent way to support data-driven decision-making in any organization. Pair this up with the animated transitions between the charts provided by the new, open-source library, ipyvizzu, and you have a self-service, interactive report or dashboard that makes it much easier for non-experts to make sense of complex data sets.

It's great when you can share the results of your analysis not only as a presentation but as something that non-data scientists can explore on their own, looking for insights and applying their business expertise to understand the significance of what they find.

With its accessibility for both creators and viewers, Streamlit offers a brilliant platform for data scientists to build and deploy data apps. Now, with the integration of [ipyvizzu](https://ipyvizzu.com) - a new, open-source data visualization tool focusing on animation and storytelling - you can quickly create and publish interactive, animated reports and dashboards on top of static or dynamic data sets and your models.

In this talk, one of the creators of ipyvizzu shows how their technology works within Streamlit and the advantages of using animation in self-service data exploration to help business stakeholders feel smarter and do a better job.

Let them explore! Building interactive, animated reports in Streamlit with ipyvizzu & a few lines of Python

Abstract

Peter Vidos