Histogram plots in Pandas - Mini Project: Build & Apply

Histogram plots

📖 Scenario: You work in a small bakery that tracks daily sales of different types of bread. You want to understand how many breads are sold each day to plan better for the next week.

🎯 Goal: Create a histogram plot to visualize the distribution of daily bread sales using pandas.

📋 What You'll Learn

Create a pandas DataFrame with daily sales data

Set a variable for the number of bins in the histogram

Use pandas to plot a histogram of the sales data

Display the histogram plot

💡 Why This Matters

🌍 Real World

Histograms help businesses understand how data like sales or customer visits are spread out over time.

💼 Career

Data scientists and analysts use histograms to visualize data distributions and find patterns or outliers.

1

Create the sales data

Create a pandas DataFrame called sales_data with one column named daily_sales containing these exact values: 12, 15, 7, 10, 20, 18, 5, 8, 15, 10.

Pandas

import pandas as pd
# Create the DataFrame sales_data with daily_sales column
# Your code here

Need a hint?

Use pd.DataFrame and pass a dictionary with key "daily_sales" and the list of values.

2

Set the number of bins

Create a variable called num_bins and set it to 5 to decide how many bars the histogram will have.

Pandas

import pandas as pd
sales_data = pd.DataFrame({"daily_sales": [12, 15, 7, 10, 20, 18, 5, 8, 15, 10]})
# Set the number of bins for the histogram
# Your code here

Need a hint?

Just create a variable num_bins and assign it the value 5.

3

Plot the histogram

Use the plot method on sales_data["daily_sales"] with kind="hist" and bins=num_bins to create the histogram plot.

Pandas

import pandas as pd
sales_data = pd.DataFrame({"daily_sales": [12, 15, 7, 10, 20, 18, 5, 8, 15, 10]})
num_bins = 5
# Plot the histogram of daily_sales using num_bins
# Your code here

Need a hint?

Use sales_data["daily_sales"].plot(kind="hist", bins=num_bins) to create the histogram.

4

Show the histogram plot

Import matplotlib.pyplot as plt and call plt.show() to display the histogram plot.

Pandas

import pandas as pd
sales_data = pd.DataFrame({"daily_sales": [12, 15, 7, 10, 20, 18, 5, 8, 15, 10]})
num_bins = 5
sales_data["daily_sales"].plot(kind="hist", bins=num_bins)
# Import matplotlib.pyplot as plt and show the plot
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt and then plt.show() to display the plot window.