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Heat Map data visualizations
make it easy to analyze large databases

Heatmap data visualisations are similar to Treemaps and are well-suited to visual data analysis applications for financial data.A Heat Map is a special type of Treemap that is well suited for analyzing large flat data volumes using an intuitive graphical display.

 

Heatmaps are good for showing stock market map data for NYSE, NASDAQ, S&P 500 or FTSE exchanges

Heatmaps are a particularly good visualization for viewing stock market data. Try this online interactive demo to monitor price changes within the constituents of the FTSE 100 and FTSE All Share Indexes.
 
 
Heat Map showing S and P, NASDAQ, FTSE or NYSE stock market instruments grouped by percent change.
Watch a webinar on how to use Heat Map, Heat Matrix and Treemap data visualizations.
 
 
Heat Map data visualization showing FTSE100 stocks by symbol
Try the Heat Map for yourself! Request free evaluation software now.
 
 

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.

Heat Maps 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 Heat Map 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.

Heat Maps 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

You can alter the color scale displayed in a Heat Map as needed in order to make it easier to spot outliers or reveal trends in the data sets you are examining.

Resize and Re-sort Data

Resizing the Heat Map will rearrange the boxes on the screen so that each box is represented as clearly as possible with the most equal aspect ratio. You can also re-sort all of the items displayed in the Heat Map by any of the columns within the data set.

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 Heat Maps 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.

Availability

Heat Map data visualizations are included in all of our products: