Showroom for Panopticon Treemaps, Heatmaps and other data visualizations.
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Demo Gallery
Panopticon Data Visualization Software

Our data visualization software is easy to use and is a great way to explore large datasets, identify outliers and find hidden patterns. As one customer at a major corporation put it, "They help you answer questions you didn't know you had."

 

Free trial of Panopticon Heat Map & Treemap data visualization software.Discover it for yourself with these online self-guided demos. Most of these demos use our amazing Treemap and Heatmap visualizations, but we are adding new demos soon that will use Barseries, Stack Graphs, Line Graphs, Scatter Plots, and Horizon Graphs.

 

We have demos on a wide variety of topics, including:

Politics

This demo uses a Treemap to help you examine US Presidential election results from 1828 until 2004. You can see voting records by state for both the popular vote and the electoral college. The visualization highlights those elections won by small margins and all the details are available with a single click.

Sales Analysis

Reports Sales and Revenue across a fictional consumer brands business, which views performance across both its portfolio of brands, and also across its client base of distribution channels.
Sales and Revenue reporting across a fictional supermarket retailer. Shows performance across its product lines and across all stores, grouped by region.
A bookstore inventory, highlighting changes in sales rankings together with retail sales discounts. Each book is fully attributed and is linked to further details through its IBAN reference code.

Media & Entertainment

Eurovision Song Contest results and voting records for a thirty year period: 1979 to 2007. Results are shown for each year, together with the voting records across countries, highlighting correlated voting patterns between countries largely independent of the year.
Newspaper circulation statistics for US based newspapers over a four year period from 2004 to 2008. The circulation is divided into Daily and Sunday views. The change in circulation over a 1,2, 3 and 4 year period is displayed, highlighting the gradual decline in readership, with few exceptions.
US movie box office returns for the period January 2008 to August 2008, showing the return for each movie, its Oscar nominations, and the rate it made its revenue.
A presentation of a large number of Google News headlines, highlighting changes in cluster size, source publications, and timeliness of published stories. Each headline is attributed to the source and is linked to the full news story.

Sports

Medal tables by country, year and venue for each Modern Olympiad. Highlighting the dominance of US and Russia during the cold war period, the recent rise of China, and the importance of home advantage.

Energy

US Gasoline price data recorded on Monday September 22, 2008. The information is grouped into regions and clearly demonstrates the variability of pricing in the South, and the correlation of pricing in the Mid West and North East.
Global oil statistics for countries and regions, across a 40 year timescale, showing changes relative to 2007 for production, consumption and refinery capacity. Additionally movements of supply and consumption where known are shown for the previous 4 years.
Global energy consumption for countries and regions by fuel type, with the change in consumption shown for the previous 4 years.

Environment

Forest area statistics by Country and region, showing the change from 1990 until 2005, as defined by the Food & Agriculture Organisation of the United Nations. This highlights the divergence between Indonesian and Chinese forestry policy.
Past, current and forecasted global carbon dioxide emissions from power plants, highlighting energy production and production type, together with the CO2 production intensity. Data from CARMA.

Disasters

Survival rates for those present on the RMS Titanic on the night of 14 April 1912, grouped by gender, class, status, and age. Validating the assertion �Women and Children first, and demonstrating the sacrifice made by the crew that night.

Global air accident statistics for a 40 year period from 1968 to 2008, including the date, airline, manufacturer, location, and fatality figures including both on board and ground casualties.

Financial Services & Banking

Performance and Risk reporting across a fictional "Funds of Funds" business, which selects funds from an approved fund universe to become part of managed Fund of Fund portfolios.

Fixed Income screening across a universe of over 2000 Euro denominated bonds, covering Sovereign, Sub-Sovereign, Collateralized and Corporates, categorized by Sector, Rating and Issuer Country.
Fixed Income screening across a universe of over 1000 Euro denominated corporate bonds, categorized by Sector, Rating and Issuer Country, including asset swap margins.
US Dollar Swaption volatility surface represented as a 2D non-tessellating matrix.
Swaption volatility surfaces represented as a 2D non-tessellating matrix for given strike prices.

Enterprise risk reporting across a fictional international brokerage business, which manages its daily market risk together with its capital adequacy requirements through the monitoring of risk measure limits such as Exposure, 1 and 10 day Value at Risk (VaR).

FX cross rates matrix represented as a 2D non-tessellating matrix, highlighting large number of currency pairs, their value, percentage change, percentage spread, and their trading activity.
Commodity contracts represented either as a map, or as a non-tessellating matrix, highlighting market trends across contract expiries, and across commodity types themselves.
A stock correlation matrix representing the correlation of 100 US domiciled companies, as calculated using a twelve month price history. Highlighting the correlation between selected companies.
Equity screening across a universe of 5000 US and Canadian traded companies, focusing on company fundamentals.
Market monitoring across the most liquid UK companies, which are members of the FTSE 100. Highlighting unusual trading patterns, through change in price, volume, turnover, news flow, and trading activity compared to historical averages.
Market monitoring across the most liquid US companies, which are members of the S&P 500. Highlights unusual trading patterns, through change in price, volume, turnover, news flow, and trading activity compared to historical averages.
Monitoring of price change within the constituents of the FTSE 100.
Monitoring of price change within the constituents of the S&P 500.