Dashboards by Example
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7 Common Dashboard Chart Types

Dashboard designers don’t just choose pretty colors to decorate the user interface with. I spent quite a bit of time yesterday convincing a potential client of the need to let professional UI designers apply best practices to chart design. Choosing the correct type of graph to accurately portray the business situation at hand is not an easy task.

Business intelligence visualization professionals such as Stephen Few make their living by knowing what type of chart works best in what situation. Beyond the obvious goals of clarity and ease of use, they worry about more subtle things like inadvertently (or worse yet, knowingly) implying meaning to data that really doesn’t exist.

I bring up Stephen Few’s name because of his authorship of a white paper that  is now two years old. I forwarded his paper to the client in question in order to educate him about the basic relationships in data that chart designers must be aware of. The name of the ProClarity whitepaper is Effectively Communicating Numbers: Selecting the Best Means and Manner of Display. Read it for yourself and you’ll want to print it out and keep it around for reference.

As an example, did you know that there are “7 Common Relationships in Quantitative Business Data”? I took the liberty of cutting and pasting out for you the examples of the 7 types:

 7 types of data charting relationships

As you see, the business data relationship types (and therefore dashboard chart types) are:

Time Series Relationships - Quite a common one. It’s when quantitative values are expressed as a series taken across equal measures of time.

Ranking Relationships - another very common chart. It answers the question of how does one value compare to other values.

Part to Whole Relationships - it’s very useful to see how something is broken down into parts and understand the percentage of each part to the whole. Commonly expressed as a pie chart, but shown in this example as a bar chart.

Deviation Relationships (not what you are thinking ;-)!) - a typical use would be to see how actuals vary against planned figures.

Distribution Relationships - good, at-a-glance way to understand the composition of a set of things. Common shapes are bell-shaped curves and skewed shapes.

Correlation Relationships - pairs of values each measuring a different factor are displayed in order to see if there is a relationship between the factors.

Nominal Comparison Relationships - you’ll need to read the paper for the full explanation of this one, but it’s basically a chart where one axis does not really have a meaning. The sample chart provides a means to compare entities that do not relate to each other in any particular order.

Start by understanding these types of business data relationships, then move on to the rest of this very valuable paper. All dashboard designers are encouraged to study this paper as well as the Stephen Few book,  Information Dashboard Design: The Effective Visual Communication of Data.

Tags: Dashboard Chart Types, Data Relationships, Dashboard Design,  Data Visualization

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One Response to “7 Common Dashboard Chart Types”

  1. links for 2007-10-19 « Schedelbeuk Said on

    [...] 7 Common Dashboard Chart Types (tags: dashboard) [...]

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