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Assignment 6: Data Visualization with Matplotlib and Seaborn

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Assignment Requirements

Create professional data visualizations using matplotlib and seaborn through 8 progressive problems

Problem 1: Sales Trend Line Plot (10 points)
Problem 2: Department Performance Bar Chart (10 points)
Problem 3: Marketing Spend vs Revenue Scatter Plot (15 points)
Problem 4: Customer Age Distribution Histogram (15 points)
Problem 5: Multi-Panel Sales Dashboard (20 points)
Problem 6: Employee Salary Distribution Analysis (20 points)
Problem 7: Correlation Heatmap Analysis (20 points)
Problem 8: Complete Visualization Report System (30 points)

Jupyter Notebook * .ipynb file

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Drop your Jupyter notebook here or click to browse

.ipynb file • Max 10MB

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Data Visualization with Matplotlib and Seaborn (100 points total)

Submission Requirements:

Submit your completed Jupyter notebook (.ipynb file)
Ensure all code cells have been executed and show output
Use matplotlib, seaborn, numpy, and pandas as needed
File size limit: 10MB maximum
You can resubmit multiple times (latest submission counts)
Use concepts from Lectures 20-21