Monday, April 12, 2010

Radar Chart/Spider Web Chart-Powered by Aravind.

Radar Chart Version 1.0.

A radar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. The relative position and angle of the axes is typically uninformative.

In a radar chart, a point close to the center on any axis indicates a low value. A point near the edge is a high value. In the football example, we would high marks near the outside due to the nature of what was being measured. In other scenarios, you might want points near the center, or low values. When you're interpreting a radar chart, check each axis as well as the overall shape to see how well it fits your goals.

When to use it:
A radar chart shows how a team has evaluated a number of organizational performance areas. It is
therefore essential that the initial evaluation include varied perspectives to provide an overall
realistic and useful picture of performance.

Radar chart statistics:
For the radar chart, the following statistics are calculated:

Mean: the average of all the values in the series.
Maximum: the maximum value in the series.
Minimum the minimum value in the series.
Sample Size the number of values in the series.
Range the maximum value minus the minimum value.
Standard Deviation Indicates how widely data is spread around the mean

Radar charts are primarily suited for strikingly showing outliers and commonality, or when one chart is greater in every variable than another, and primarily used for ordinal measurements – where each variable corresponds to "better" in some respect, and all variables on the same scale.

Conversely, radar charts have been criticized as poorly suited for making trade-off decisions – when one chart is greater than another on some variables, but less on others.[10]

Further, it is hard to visually compare lengths of different spokes, because radial distances are hard to judge, though concentric circles help as grid lines. Instead, one may use a simple line graph, particularly for time series.

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