I am sure everyone one of us has seen charts like this.
Any management training you attend, a version of this chart is bound to sneak up in the presentation, often in lecture notes or hands on activity.
These charts are a good representation of categorical entries. A mosaic plot allows visualizing multivariate categorical data in a rigorous and informative way. Click here to read A Brief History of the Mosaic Display [PDF]
Here’s a quick example how to plot mosaic in python
from statsmodels.graphics.mosaicplot import mosaic import matplotlib.pyplot as plt import pandas gender = ['male', 'male', 'male', 'female', 'female', 'female'] pet = ['cat', 'dog', 'dog', 'cat', 'dog', 'cat'] data = pandas.DataFrame({'gender': gender, 'pet': pet}) mosaic(data, ['pet', 'gender']) plt.show()
Here’s another example from the tips dataset.
from statsmodels.graphics.mosaicplot import mosaic import matplotlib.pyplot as plt import seaborn as sns tips = sns.load_dataset('tips') mosaic(tips, ['sex','smoker','time']) plt.show()
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