Matplotlib for data visualization in Raspberry Pi - Mini Project: Build & Apply

Matplotlib for data visualization

📖 Scenario: You work at a small local store that tracks daily sales. You want to show the sales data visually to understand trends better.

🎯 Goal: Create a simple bar chart using Matplotlib to display daily sales amounts.

📋 What You'll Learn

Create a dictionary with sales data for 5 days

Set a color variable for the bars

Use Matplotlib to create a bar chart from the sales data

Display the bar chart

💡 Why This Matters

🌍 Real World

Visualizing sales data helps store owners quickly see which days have higher sales and make better business decisions.

💼 Career

Data visualization is a key skill for data analysts and scientists to communicate insights clearly to others.

1

Create sales data dictionary

Create a dictionary called daily_sales with these exact entries: 'Monday': 150, 'Tuesday': 200, 'Wednesday': 170, 'Thursday': 220, 'Friday': 190.

Raspberry Pi

# Create the daily_sales dictionary with exact day and sales values
# Your code here

Hint

Use curly braces to create a dictionary with days as keys and sales as values.

2

Set bar color

Create a variable called bar_color and set it to the string 'skyblue' to use as the color for the bars in the chart.

Raspberry Pi

daily_sales = {'Monday': 150, 'Tuesday': 200, 'Wednesday': 170, 'Thursday': 220, 'Friday': 190}
# Create the bar_color variable and set it to 'skyblue'
# Your code here

Hint

Assign the string 'skyblue' to the variable bar_color.

3

Create bar chart with Matplotlib

Import matplotlib.pyplot as plt. Use plt.bar() with daily_sales.keys() as the x-axis and daily_sales.values() as the heights. Set the color parameter to bar_color.

Raspberry Pi

daily_sales = {'Monday': 150, 'Tuesday': 200, 'Wednesday': 170, 'Thursday': 220, 'Friday': 190}
bar_color = 'skyblue'
# Import matplotlib.pyplot as plt
# Create a bar chart using plt.bar with daily_sales keys and values, and color=bar_color
# Your code here

Hint

Use plt.bar(x, height, color=bar_color) where x is the days and height is the sales values.

4

Display the bar chart

Use plt.show() to display the bar chart you created.

Raspberry Pi

import matplotlib.pyplot as plt

daily_sales = {'Monday': 150, 'Tuesday': 200, 'Wednesday': 170, 'Thursday': 220, 'Friday': 190}
bar_color = 'skyblue'

plt.bar(daily_sales.keys(), daily_sales.values(), color=bar_color)
# Display the bar chart
# Your code here

Hint

Call plt.show() to open a window with the bar chart.