Absolute vs Relative Frequency
Absolute vs Relative Frequency
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By default, seaborn's countplot function will summarize and plot the data in terms of absolute frequency, or pure counts. In certain cases, you might want to understand the distribution of data or want to compare levels in terms of the proportions of the whole. In this case, you will want to plot the data in terms of relative frequency, where the height indicates the proportion of data taking each level, rather than the absolute count.
By default, seaborn's countplot function will summarize and plot the data in terms of absolute frequency, or pure counts. In certain cases, you might want to understand the distribution of data or want to compare levels in terms of the proportions of the whole. In this case, you will want to plot the data in terms of relative frequency, where the height indicates the proportion of data taking each level, rather than the absolute count.
One method of plotting the data in terms of relative frequency on a bar chart is to just relabel the count's axis in terms of proportions. The underlying data will be the same, it will simply be the scale of the axis ticks that will be changed.
One method of plotting the data in terms of relative frequency on a bar chart is to just relabel the count's axis in terms of proportions. The underlying data will be the same, it will simply be the scale of the axis ticks that will be changed.
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