??Creating a Matplotlib Histogram

Create a histogram to analyze the distribution of customer spending per visit at a shopping mall, using 'mintcream' for low spenders, 'salmon' for medium spenders, and 'darkcyan' for high spenders.

This exercise will enhance your ability to work with categorical data, apply colour mapping, and generate clear, insightful charts.

Approach Hints

If you're solving this on your own, consider these technical points:

Grouping Data

• Use df[df['spender_category'] == category] to filter the dataset by spending category.

Histogram Plotting

• Use plt.hist() to create histograms with 20 bins for detailed distribution.

Colour Mapping

• Assign colours to each spender category for better visual clarity.

Figure Size

• Set figsize=(12, 6) for a well-proportioned visual.

Legend & Grid

• Add a legend (plt.legend()) for category labels and enable plt.grid(True) for readability.

Take the challenge!

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