Interactive Data Visualization (Webinar recording)
uni software plus GmbH uni software plus GmbH
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 Published On Nov 10, 2022

๐—–๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—ฑ๐˜†๐—ป๐—ฎ๐—บ๐—ถ๐—ฐ ๐—จ๐˜€๐—ฒ๐—ฟ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ณ๐—ฎ๐—ฐ๐—ฒ๐˜€

๐—–๐—ผ๐—ป๐˜๐—ฒ๐—ป๐˜
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.

๐—œ๐—ป ๐˜๐—ต๐—ถ๐˜€ ๐˜„๐—ฒ๐—ฏ๐—ถ๐—ป๐—ฎ๐—ฟ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ถ๐—น๐—น ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป:
- 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.

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