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Webinars
Find correlations, outliers and hidden patterns quickly with Panopticon's Scatter Plot data visualization
Struggling with large data sets? It can be virtually impossible to find outliers and hidden patterns in standard table displays and reports. The Scatter Plot data visualization is an excellent tool for solving this problem. Peter Simpson demonstrates how to best utilize and interpret Panopticon's Scatter Plot visualization for both statistical and geographic data.
Scatter Plots are incredibly useful when looking for outliers and anomalies in large datasets. The Scatter Plot data visualization is highly customizable. Users can quickly filter and manipulate their data to zero in on the relevant subsets in the data.
Like our Treemaps and Heatmaps, Scatter Plot visualizations use our StreamCube™ OLAP data model to enable incredibly fast filtering - you can slice and dice the data any way you want in order to truly understand the meaning of your data.
In this webinar you will:
- Learn the benefits of the Scatter Plot visualization
- See examples of both statistical and geographic Scatter Plots
- Discover how to dig deeper into your data to enhance decision making
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Peter Simpson is Panopticon's SVP Research & Development. He is responsible for all development, pre-sales, support and consulting activities. Peter holds a Master of Science degree in Information Systems Engineering and a Bachelor of Science degree in Physics with Space Science & Technology.