Bar Plot
Learn how to create bar plots comparing categorical features to sales.
We'll cover the following
Chapter Goals:
- Create a bar plot to visualize the correlation between dataset features and weekly sales
A. Categorical feature plots
For categorical features, it doesn’t make sense to create a scatter plot. Instead, when we’re using a categorical feature as the independent variable (with a numeric feature as the dependent variable), we’ll make a bar plot.
When using weekly sales as the dependent variable, we’ll create bar plots that show the average weekly sale amount for each category in a categorical feature.
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plot_df = final_dataset[['Weekly_Sales', 'Type']]plot_df = plot_df.groupby('Type').mean()plot_df.plot.bar()plt.title('Store Type vs. Weekly Sales')plt.xlabel('Type')plt.ylabel('Avg Weekly Sales (Dollars)')plt.show()
The above bar plot shows that stores of type A have significantly higher average weekly sales than stores of type B or C.
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