Practice Problems for Python 8: Data Visualization

Here are 5 hands-on practice problems for your Python 8: Data Visualization lesson — focused on real-world retail and business analytics:

Problem 1: Inventory Bar Chart

You have the following product stock data:

products = ["Ring", "Necklace", "Bracelet", "Earring"]
stock = [12, 5, 8, 15]

Task:

• Create a vertical bar chart using matplotlib
• Add title: “Current Inventory”
• Label axes and add grid lines

Problem 2: Daily Sales Line Chart

You tracked sales over 7 days:

days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
sales = [3000, 4500, 4000, 4200, 5000, 7500, 6800]

Task:

• Plot a line graph of sales using matplotlib
• Add data points (marker=’o’)
• Highlight the day with the highest sale in the title

Problem 3: Employee Sales Bar Plot with seaborn

Create a pandas DataFrame with this data:

Task:

• Use seaborn to create a bar plot of Total_Sales by Employee
• Add appropriate labels and a title

Problem 4: Price vs Stock Scatter Plot

You have the following data:

Task:

• Create a scatter plot using seaborn
• X-axis = Price, Y-axis = Stock, color by product name
• Use size=100 and add a chart title

Problem 5: Create Your Own Dashboard (Bonus)

Task:

• Create 3 subplots (side by side or top-bottom) using matplotlib:
  1. Line plot of daily sales
  2. Bar chart of inventory
  3. Scatter plot of price vs stock

💡 Use plt.subplot(1, 3, i) or plt.subplots() to arrange them.

Would you like the solution code for each of these too? Or shall I convert these problems into a printable PDF practice sheet?