Data Visualization: Interactions that Speed Discovery

Watch the Keynote and Q&A

Interactivity is an essential part of data exploration and statistical discovery. In this Statistically Speaking, Xan Gregg, a data visualization expert and Distinguished Engineering Fellow at JMP, demonstrates and categorizes a dozen different methods of interactively exploring data to speed time to insight.

These methods include fast and intuitive implementations of filtering, selecting, navigating, scaling, and more. To emphasize the importance of handling large and varied data, we use the American Time Use Survey from the Bureau of Labor Statistics with 250,000 observations and 100 variables.

Q&A with Xan is available at the conclusion of the keynote.

What you’ll learn

• Why proper handling of varied data sets is essential to accelerating time to insight.
• The significance of interactivity to data analysis.
• How to quickly implement dozens of interactive data exploration methods.

Meet the speaker

Xan Gregg
Distinguished Research Fellow

Xan Gregg focuses on data visualization within JMP Development. He created Graph Builder, JMP’s platform for drag-and-drop interactive graph creation and data exploration. Xan continues to spearhead many user productivity initiatives, including transform columns, header graphs, interactive data cleaning, and action recording.

In 2006, Xan won first place in a world-wide data visualization competition and has been active in the online data visualization community ever since. He invented the packed bars chart type for high cardinality Pareto distributed data and makes all kinds of graphs that he shares on social media and his personal blog site, Raw Data Studies; he is also a regular blogger in the JMP Community.

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