We are living in a car-obsessed world so when author Dr. T. Alan Keahey recently used a car metaphor for data visualizations, it caught my attention. Read on, he even covers the pie chart, the Roger Dangerfield of visualizations…

The full e-book published by TDWI and entitled Top Considerations for Effective Visualizations

can be found here: http://tdwi.org/research/2013/12/ebook-top-considerations-for-effective-visualizations/asset.aspx?tc=assetpg

Photo Attribution: Joe Szilvagyi

Bar Chart = Pickup Truck:
The basic bar chart is capable of conveying a wide range of data types and can do it in efficiently sized chunks. This is a working man’s visualization that can often get the job done all by itself. When in doubt, a bar chart is often a good place to start for your visualization needs.

Line Chart = Municipal Bus:

Line charts are similar to bar charts, except that the horizontal axis always refers to time steps. This is similar to a bus or delivery van on a fixed schedule. They can haul a lot of the same data as a bar chart, but they do it at a fixed sequence of stopping points.

Scatter Chart = Larger Courier Truck:

Scatter plots can show everything that bar and line charts show, but they can also show much higher volumes of data and different types of data. These are the serious haulers to use when you have a lot of data to view.

Bar/Line/Scatter Chart Matrices = Synchronized Fleet:

Sometimes you just have more information than you can fit in a single chart. Combining multiple charts can let you introduce additional dimensions into your view. As with courier fleet control, you have to be careful in your planning to ensure that the charts are well synchronized to provide complete coverage without chaotic overlap.

Statistical Chart = Sporty Roadster:

Specialized statistical distribution charts like the box-and-whiskers plot allow you to look at the basic properties of the data without having to view every single element. Like a nimble roadster, these can be a bit tricky to get the most out of, but they allow you to move through the data quickly and get a good feel for the curves in the road.

Choropleth Map = Trolley Car:

A choropleth is a map that uses color to indicate the data values in specific regions. These are a good choice when you know that the geographical relation is a primary data property that you want to convey, just as city planners may choose a trolley car route to cover the most critical destinations.

Network Diagram = Race Car:

Network diagrams can be sexy and fun to look at. They engage the viewer and draw him or her into wondering about the information within. They have a great deal of expressive power; however, they also have limitations. Network diagrams are highly dependent upon the choice of the layout algorithm being used. A layout for one application may be completely inappropriate for a different application. Similarly, race cars need to be set up uniquely for different track layouts. A Formula One street racer would fare poorly on an oval dirt track.

Pie Chart = Horse and Buggy:

The venerable pie chart does almost nothing that cannot be done better with the more efficient bar chart. Some conventional wisdom has it that pie charts should be used to show “parts of a whole,” but in most such cases a bar chart will do a better job of that. The one possible exception is when showing that one or more parts add up to more than half of the total (however, even that has restrictions). These can be nice to look at, but are terribly inefficient.

3-D Bar/Line/Pie Chart = Horse-Drawn Automobile:

In the early days of the automobile, some manufacturers created hybrid vehicles that could run on either gasoline or be drawn by horses. The result was an abomination that did poorly in either mode. There is no reason to add 3-D glitz to these charts, as it will make them harder to read values. If you would like to improve the aesthetics, you should instead explore colors, shading and textures to create a more pleasing visualization.

Dials and Gauges = The Edsel:

Dials and gauges are often used in data dashboard design to convey a feeling of being in situational control. Usually these visual elements are “all show and no go,” similar to the huge fender flares and chrome elements of the failed Edsel car from the 1950s. While some limited use of dials and gauges can be justified in special situations (such as environmental monitoring), it is important to limit their impact so that they do not overwhelm with clutter and wasted space.

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  1. Irshaad Bijan Adatia

    Very interesting read.

    Would loved to have seen more visualizations~~~
    Picture-book style! *ha*

    I particularly enjoyed reading the Pie Chart part *laughs*

    Thanks for sharing.



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