Homework 7: Python for Data Analysis

Analyze a real dataset with NumPy and Pandas, treating the table as a first-class structure rather than a collection of loops. You will load and inspect data, select and filter rows and columns, apply split-apply-combine to answer grouped questions, and decide — explicitly — how to handle missing values.

Related session: Session 8 — Python for Data Analysis

Topics Covered

• Tabular data as a first-class structure; NumPy arrays and Pandas DataFrames
• Loading and inspecting a dataset
• Vectorized thinking versus explicit loops
• Selecting, filtering, grouping, and aggregating (split-apply-combine)
• Missing data as a modeling decision, not a nuisance

Instructions

The detailed tasks, dataset, and submission instructions for this assignment have not been posted yet. Please check back after the October 14 session.