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Webinars
Working effectively with time series data visualizations in the Panopticon Developer SDK
Peter Simpson demonstrates how to best select, utilize and interpret Panopticon's array of time series data visualizations for specific time series datasets and defined objectives.
Our time series data visualizations include Horizon Graphs, Line Graphs, Stack Graphs, and Percentage Area Graphs. Like our Treemaps and Heatmaps, these time series 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.
What you'll learn in this webinar:
- How to interpret data presented in our Line Graph, Stack Graph, Percentage Area Graph and Horizon Graph data visualizations
- How to work with hierarchical datasets, including the time hierarchy
- How to select the best time series information visualization for both the dataset and the objective
- How to view snapshots across specific time slices, and cumulative returns across defined time periods, and swap between the two based on need
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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.