... | ... | @@ -278,4 +278,21 @@ So the best arragement depends on how much categories have to be depicted in the |
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### Line charts
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Key Points:
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* which axis sclaing should be used? Possible are:
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* Scaling for each data point. Drawback:
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* could be non uniform in itself, for example 1, 2, 3.5, 10
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* could be non uniform with more than one line, for example
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* a: 1, 2, 3
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* b: 1.5, 2.5, 3.5
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* Try to scale it so that each datapoint is as near as possible to the axis scale. Drawbacks:
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* Outliers could stretch the whole plot unnecessary, especially for more than one line.
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* Scaling according to the value range. Possible approaches are:
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* Dividing by the number of datapoints. Drawback: If a dataset is large, the plot gets messy
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* Dividing, so that a minimum spacing is guaranteed.
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### Scatter plots |
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