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We'll use matplotlib package to create a histogram for simple returns to visualize the distribution.
1import matplotlib.pyplot as plt
2
3discrete_returns = stock_data['Simple Returns (%)']
4
5# Drop the missing values
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7discrete_returns = discrete_returns.dropna()
8
9# Plot the distribution of simple returns
10
11plt.figure(figsize=(14, 7))
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13plt.subplot(1, 2, 1) # 1 row, 2 columns, first plot
14
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