Why color matters in visualization in Matplotlib - See It in Action

Why Color Matters in Visualization

📖 Scenario: You are working as a data analyst for a local grocery store. You want to show the sales of different fruit types using a bar chart. You will learn how color can help make your chart easier to understand and more attractive.

🎯 Goal: Create a bar chart showing fruit sales with colors that help viewers quickly see which fruit sold the most and which sold the least.

📋 What You'll Learn

Create a dictionary with fruit names and their sales numbers.

Create a list of colors to use for each fruit bar.

Use matplotlib to plot a bar chart with the fruit names on the x-axis and sales on the y-axis.

Apply the colors list to the bars to highlight differences clearly.

Print the sales dictionary at the end.

💡 Why This Matters

🌍 Real World

Colors in charts help customers and managers quickly see important information, like which products sell best.

💼 Career

Data analysts and scientists use color in visualizations to make reports easier to understand and more persuasive.

1

Create the fruit sales data

Create a dictionary called fruit_sales with these exact entries: 'Apples': 50, 'Bananas': 30, 'Cherries': 20, 'Dates': 15, 'Elderberries': 5.

Matplotlib

# Create the fruit_sales dictionary with exact values
# Your code here

Need a hint?

Use curly braces to create a dictionary. Each fruit name is a key and its sales number is the value.

2

Create a list of colors for the bars

Create a list called colors with these exact color names in order: 'red', 'yellow', 'pink', 'brown', 'purple'.

Matplotlib

fruit_sales = {'Apples': 50, 'Bananas': 30, 'Cherries': 20, 'Dates': 15, 'Elderberries': 5}
# Create the colors list with exact color names
# Your code here

Need a hint?

Use square brackets to create a list. Put the color names as strings in the order matching the fruits.

3

Plot the bar chart with colors

Use matplotlib to plot a bar chart with fruit names on the x-axis and sales numbers on the y-axis. Use the colors list to color each bar. Use plt.bar(fruit_sales.keys(), fruit_sales.values(), color=colors).

Matplotlib

import matplotlib.pyplot as plt

fruit_sales = {'Apples': 50, 'Bananas': 30, 'Cherries': 20, 'Dates': 15, 'Elderberries': 5}
colors = ['red', 'yellow', 'pink', 'brown', 'purple']
# Plot the bar chart using plt.bar with fruit_sales keys and values and colors
# Your code here

Need a hint?

Use plt.bar() with the keys and values of the dictionary and the colors list for the color argument.

4

Show the plot and print the sales data

Add plt.show() to display the chart. Then print the fruit_sales dictionary using print(fruit_sales).

Matplotlib

import matplotlib.pyplot as plt

fruit_sales = {'Apples': 50, 'Bananas': 30, 'Cherries': 20, 'Dates': 15, 'Elderberries': 5}
colors = ['red', 'yellow', 'pink', 'brown', 'purple']
plt.bar(fruit_sales.keys(), fruit_sales.values(), color=colors)
plt.xlabel('Fruit')
plt.ylabel('Sales')
plt.title('Fruit Sales with Color Highlight')
# Show the plot and print the fruit_sales dictionary
# Your code here

Need a hint?

Use plt.show() to display the chart. Then use print(fruit_sales) to show the dictionary.