Bin count and bin edges in Matplotlib - Mini Project: Build & Apply

Bin count and bin edges

📖 Scenario: You work as a data analyst for a small retail company. You have collected the daily sales amounts for a week. You want to understand how these sales amounts are distributed by grouping them into bins.

🎯 Goal: Build a simple Python program that uses matplotlib to calculate the count of sales amounts in each bin and the edges of these bins.

📋 What You'll Learn

Create a list called sales with the exact daily sales amounts given.

Create a variable called bins with the exact bin edges given.

Use matplotlib.pyplot.hist with bins and density=False to get the counts and bin edges.

Print the counts and bin edges exactly as shown.

💡 Why This Matters

🌍 Real World

Grouping data into bins helps businesses understand patterns, like how many sales fall into certain ranges.

💼 Career

Data analysts and scientists often use binning to summarize and visualize data distributions for reports and decision-making.

1

Create the sales data list

Create a list called sales with these exact daily sales amounts: 23, 45, 12, 67, 34, 89, 55.

Matplotlib

# Create the sales list with the exact values
# Your code here

Need a hint?

Use square brackets to create a list and separate numbers with commas.

2

Create the bins variable

Create a list called bins with these exact bin edges: 0, 20, 40, 60, 80, 100.

Matplotlib

sales = [23, 45, 12, 67, 34, 89, 55]
# Create the bins list with the exact edges
# Your code here

Need a hint?

Bins are the edges that separate the groups. Use a list with the exact numbers.

3

Calculate counts and bin edges using matplotlib

Import matplotlib.pyplot as plt. Use plt.hist with sales and bins, and set density=False. Assign the returned counts to counts and bin edges to edges.

Matplotlib

sales = [23, 45, 12, 67, 34, 89, 55]
bins = [0, 20, 40, 60, 80, 100]
# Import matplotlib.pyplot as plt
# Use plt.hist with sales and bins, density=False
# Assign counts and edges
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt and call plt.hist with the correct arguments.

4

Print the counts and bin edges

Print the counts array and the edges array exactly as they are.

Matplotlib

import matplotlib.pyplot as plt

sales = [23, 45, 12, 67, 34, 89, 55]
bins = [0, 20, 40, 60, 80, 100]

counts, edges, _ = plt.hist(sales, bins=bins, density=False)
# Print counts and edges
# Your code here

Need a hint?

Use two print statements: one for counts and one for edges.