Why Matplotlib for data visualization - See It in Action

Why Matplotlib for Data Visualization

📖 Scenario: You are working as a data analyst for a small company. You want to show your team how to create simple charts to understand sales data better. You will use Matplotlib, a popular tool for making graphs in Python.

🎯 Goal: Learn how to create a basic line chart using Matplotlib to visualize sales data over a week.

📋 What You'll Learn

Create a list of sales numbers for 7 days

Create a list of day names for the week

Use Matplotlib to plot sales data as a line chart

Add labels for the x-axis and y-axis

Show the chart as output

💡 Why This Matters

🌍 Real World

Data visualization helps businesses understand trends and make decisions by showing data in pictures like charts and graphs.

💼 Career

Knowing how to use Matplotlib is useful for data analysts and scientists to communicate insights clearly and effectively.

1

Create sales data and days list

Create a list called sales with these exact values: [150, 200, 170, 220, 180, 210, 190]. Also create a list called days with these exact values: ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"].

Matplotlib

# Create the sales and days lists
# Your code here

Need a hint?

Use square brackets to create lists. Put the exact numbers and day names inside.

2

Import Matplotlib and set up plot

Import matplotlib.pyplot as plt. This will let you use Matplotlib functions to create charts.

Matplotlib

sales = [150, 200, 170, 220, 180, 210, 190]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

Use the exact import statement: import matplotlib.pyplot as plt.

3

Plot the sales data

Use plt.plot(days, sales) to create a line chart showing sales over the days of the week. Then add labels with plt.xlabel("Days") and plt.ylabel("Sales").

Matplotlib

import matplotlib.pyplot as plt

sales = [150, 200, 170, 220, 180, 210, 190]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
# Plot sales data and add axis labels
# Your code here

Need a hint?

Use plt.plot(days, sales) to draw the line. Then label the axes with plt.xlabel and plt.ylabel.

4

Show the chart

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

Matplotlib

import matplotlib.pyplot as plt

sales = [150, 200, 170, 220, 180, 210, 190]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]

plt.plot(days, sales)
plt.xlabel("Days")
plt.ylabel("Sales")
# Show the plot
# Your code here

Need a hint?

Use plt.show() to display the chart window.