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| This Heatmap displays all stocks in Standard & Poor's 500 grouped by symbol. Color indicates price change during the past day. Click on the image to see this Heatmap in more detail. |
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| This Heatmap displays the same set of S&P 500 stocks, but now they are grouped by percent change. Click on the image to see this Heatmap in more detail. |
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| This Heat Map shows all stocks in the FTSE 100 index grouped by symbol. Color indicates price change during the past day. Click on this Heat Map to see it in more detail. |
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| This Heat Map shows the same set of FTSE 100 stocks grouped by percent change. Click on the image to see this Heat Map in detail. |
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Watch a free Webinar that explains how to use Heatmaps to analyze large datasets |
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A Heatmap is a special type of color-based data visualization that is well suited for analyzing large flat data volumes using an intuitive graphical display. Panopticon's Heat Maps can handle real-time streaming data as well as historical data; you can also combine real-time data with static data in our Heat Map.
 Heatmaps are good at representing large numbers of data points in ways that would be unwieldy and hard to interpret using traditional tables or charts. A Heatmap represents each item in the dataset as an equally-sized square, unlike a Treemap that uses the size of the box to represent a qualitative value, and location to represent hierarchical relationships. In a Heat Map, the color of the square represents a quantitative value relative to the other boxes in the Heat Map, while the location can represent the sorting of another quantitative or categorical value. This allows the analyst to see all of the data items simultaneously. The user can also hover over any item to bring up more detailed information on demand.
Try These Interactive Heat Map Demos
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Monitoring of price change within the constituents of the FTSE 100. |
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Monitoring of price change within the constituents of the S&P 500. |
Heatmaps are often used to look at financial data like stock market results, but have applications in any industry, including telecoms and engineering, where business decisions are based on large amounts of data.
Spot Outliers and Trends with Heat Maps
The user can alter the color scale as needed in order to make it easier to spot outliers or view trends in the data.
Resize and Resort Data
Resizing the Heatmap will rearrange the boxes on the screen so that each box is represented as clearly as possible with the most equal aspect ratio. The items within the Heat Map can be sorted by any of the columns within the data set, with the first item appearing top left and the last item appearing bottom right.
Use Flags to Highlight Problems & Opportunities
Users can also select flags associated with useful parameters like "Top 10" or "Worst 10" that highlight differences between data items.
Connect Heatmaps to Other Systems
Panopticon's Heat Maps are designed to be connected to other systems. This means that you can program the system so that a single mouse click on a box in the Heat Map will launch another program. This might include something as simple as invoking a web browser to jump to a specific website containing more information about the item, or something more complicated like initiating a purchase order or a shipping change in a supply chain management system.
Heat Map Availability
Heatmaps are included as a standard visualization in all of our
products, including our Windows desktop product,
our web-deployed Enterprise solution and our SDK.
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