Instagram
youtube
Facebook
Twitter

Create a Box Plot for Units Sold per Product

Description:
This program creates a box plot that shows the distribution of units sold for different products. It helps visualize median, quartiles, and outliers.


Code Explanation:

  • boxplot() shows distribution of data using 5-number summary.

  • Highlights median, quartiles, and outliers.

  • Each box represents a product’s units sold.

  • Good for comparing distributions between categories.


Program:

import matplotlib.pyplot as plt

# Sample data: units sold for 3 products
product_A = [20, 22, 25, 30, 27, 28, 29]
product_B = [15, 18, 20, 22, 19, 24, 26]
product_C = [10, 12, 14, 13, 16, 18, 17]

# Combine data
data = [product_A, product_B, product_C]
labels = ['Product A', 'Product B', 'Product C']

# Create box plot
plt.boxplot(data, labels=labels, patch_artist=True)

# Add title and labels
plt.title('Box Plot: Units Sold per Product')
plt.ylabel('Units Sold')

# Show the plot
plt.grid(True)
plt.show()



Output: