For exploring patterns or anomalies in datasets or for presenting data analysis results, interactive components for filtering and visualizing data can be of great benefit.

In this webinar recording you will learn:

- How to get started with dynamic controls and displays in the Wolfram Language, using 'Dynamic' and 'Manipulate'.
- How dynamic updating of variables and controls is working "under the hood".
- How to improve the responsiveness of dynamic controls as datasets get larger.
- How to create reusable and composable interactive controls yourself.