Using a hierarchical structure, treemaps provide meaningfully organized displays of high-volume information.
Alert naturalists scan the forests and the trees, taking in the overview and noticing seasonal changes while being on the lookout for fires. They also are watching for insect invasions that could damage trees, and they consider sites for controlled burns to reinvigorate the forest. Alert naturalists know what to look for and are quick to spot surprises.
In a similar manner, alert managers do more than recognize expected patterns in sales cycles, movements in supply chains, or yields in manufacturing. Successful managers are skillful at spotting exceptional events, identifying emerging fashions, and noticing what is missing. When problems develop, they take prompt action to keep plans on schedule. When novel trends emerge, they change plans to take advantage of opportunities.
Making confident, correct, and bold decisions is a challenge, especially when the volume and pace of activity are high. Experience and intuition remain important, but generating reasonable alternatives based on accurate information is necessary. The 30-year emergence of computerized databases and data warehouses from internal and external sources provides the business intelligence that is needed to spot trends, notice outliers, and identify gaps. Early relational database systems with SQL queries were a great step forward, and then business intelligence tools provided still easier access for some kinds of data exploration; but these point-and-click interfaces still produced tabular results or static graphics. Software that produces visual displays of search results with interactive exploration has only recently become widely available.
One family of new tools are the organization-wide and manager-specific information dashboards that help ensure daily or even minute-by-minute situation awareness by presenting current status and alerts. These dashboards employ spatial presentations, color-coded meters, and iconic markers to provide at-a-glance information that indicates all is well or that action is needed.
A second family of new tools is the more powerful information visualization and visual analytic software that supports ambitious exploration of mission-critical data resources. Well-designed visual presentations make behavioral patterns, temporal trends, correlations, clusters, gaps, and outliers visible in seconds. Since scanning tabular data is time-consuming and difficult, effective visual presentations are becoming highly valued.
Training and experience in using these new tools are important to derive the maximum benefit. Organizations are learning how a few statistical or data analysis professionals can develop displays that hundreds of managers can use effectively. This strategy is supported by commercial software developers who provide powerful studio toolkits for designers to make simplified displays that serve the needs of specific managers. The good news is that appropriate user interface designs can integrate data mining with information visualization so users can make influential discoveries and bold decisions.
Treemaps are a space-filling approach to showing hierarchies in which the rectangular screen space is divided into regions, and then each region is divided again for each level in the hierarchy. The original motivation for treemaps was to visualize the contents of hard disks with tens of thousands of files in 5-15 levels of directories. Many treemap implementations have been produced, but you might want to start with the free version called SequoiaView (Figure 1), which lets you browse your hard drive. In Figure 1, the area indicates file size and color shows file type.
An early popular application on SmartMoney Magazineís Web site shows 600 stocks organized by industry and by sub-industry in a 3-level hierarchy (Figure 2). The area encodes market capitalization and color shows rising or falling prices. Users become familiar with industry groups and specific stocks so when one group (such as energy stocks) is down, they notice immediately. Treemaps for stocks are especially interesting on days when an industry group is largely falling (shown as red), but one company is rising (green). Figure 2 shows that on a particular day, there is a mostly green communications sector with one bright red problem and an interesting bright green stock in utilities.
Treemaps for Sales Monitoring
Letís take a look at a simple example of sales force management that is available for your interactive exploration. The basic display shows 200 sales representatives in six sales regions, with size indicating total sales for the fourth quarter (Figure 3). Green regions indicate above quota and red below quota. This example reveals a typical mixed picture with some high- and some low-performing sales representatives. The main good news is from the Northeast and the Mountain West regions where many green regions indicate above quota performance. There is some cautionary news about the Southwest; but even there, one of the salespeople has delivered well above quota. A simple movement of the cursor over any region or group heading generates a pop-up box with detailed information.
To get an understanding of the best sales representatives, users can use the filters on the right side control panel. Moving the Total Sales -- Q4 slider to show only high sales figures and moving % of Quota Met -- Q4 slider to limit the display to those above 100%, we see the top ten sales representatives in bright green (Figure 4). There are strong performers who are doing well above quota in all six regions.
Turning to the problems, users can use the filters to remove all but those doing much below quota (Figure 5). These sixteen are only in the Mountain West and Southwest, so maybe a discussion with those region managers might help to understand what could be done to improve sales for the next quarter.
These are simple cases meant to demonstrate possible analyses. Larger cases with hundreds of products take time to learn but provide managers with unusual powers to analyze their data by region, salesperson, product, and time period. Pharmaceutical companies are doing just that to understand which products are gaining or losing, while insurance companies are analyzing claims to detect patterns of fraud in tens of thousands of claims.
Treemaps for Product Catalogs
Another consumer-friendly application of treemaps is the Hive Groupís presentation of the daily status of the iTunes 100 most popular songs, grouped by genre (rock, pop, hip-hop, etc.) show in Figure 7. The highest ranked songs are larger, and color-coding shows whether a song has moved up or down in the past day.
A final consumer example which has proven successful is Peets Coffee Selector shown in Figure 8. Itís a small treemap, but a survey of their customers revealed strong preferences for the treemap versus the tabular presentation of products.
Sliders to filter data items allow users to limit the display to just those items that interest them, maybe the high-performing salespeople or the ones who are not meeting quotas in regions where most salespeople are above quota. Another way of zooming in on sections is to use the entire display to show just some branches of the hierarchy.
The treemap algorithm used in many commercial applications is based on the squarified strategy that makes each box as square as possible, usually placing the large squares in the upper left and the small squares in the lower right. This is visually appealing and helpful in understanding the range of size differences. Sometimes it is important to keep the items in order by name or date, in which case the order-preserving treemap algorithms such as slice-and-dice or strip treemaps are helpful.
Supportive evidence comes from a recent controlled experiment comparing spreadsheets to the Hive Group software. This study by Oracle found that treemaps were significantly faster for all eight tasks tested. The author concluded: "These results suggest that treemaps should be included as a standard graphical component in enterprise-level data analysis and monitoring applications."
Improvements are inevitable as users apply treemaps for ever wider sets of problems. The good news is that new ideas and applications for treemaps are emerging weekly. One that I like especially was the cleverly designed newsmap that shows news stories from around the world in a way that makes prominent stories more visible. I wonder what business or consumer application will be the next one to cause excitement on the Web Ė maybe it will be yours.
About Ben Shneiderman
Ben Shneiderman is a Professor in the Department of Computer Science, Founding Director (1983-2000) of the Human-Computer Interaction Laboratory, and Member of the Institute for Advanced Computer Studies and the Institute for Systems Research, all at the University of Maryland at College Park. He has taught previously at the State University of New York and at Indiana University. He was made a Fellow of the ACM in 1997, elected a Fellow of the American Association for the Advancement of Science i n 2001, and received the ACM CHI (Computer Human Interaction) Lifetime Achievement Award in 2001. He was the Co-Chair of the ACM Policy 98 Conference, May 1998 and is the Founding Chair of the ACM Conference on Universal Usability, November 16-17, 2000. Dr. Shneiderman is the author of Software Psychology: Human Factors in Computer and Information Systems (1980).
Shneiderman, B., "Using Treemap Visualizations for Decision Support", DSSResources.COM, 06/23/2006.
Ben Shneiderman, Stephen Few and Jean M. Schauer provided permission to publish and archive this article at DSSResources.COM on April 11, 2006. A version of the article was originally published on The Business Intelligence Network on April 11, 2006 at www.BeyeNETWORK.com. This article was posted at DSSResources.COM on June 22, 2006.
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