# Module 5 — Exploratory Data Analysis

Problem sets accompanying the Module 5 chapters. Each is worth
**100 points**; see {doc}`intro` for the part structure and grading split.

- **{doc}`5.1 - High-Dimensional Data - Tennessee Eastman Sensors <Topic5.1-High_Dimensional_Data_Problems>`** (accompanies {doc}`/5-exploratory_data_analysis/Topic5.1-High_Dimensional_Data`) · {download}`zip <archives/Topic5.1-High_Dimensional_Data_Problems.zip>`
- **{doc}`5.2 - Dimensionality Reduction - Tennessee Eastman Monitoring <Topic5.2-Dimensionality_Reduction_Problems>`** (accompanies {doc}`/5-exploratory_data_analysis/Topic5.2-Dimensionality_Reduction`) · {download}`zip <archives/Topic5.2-Dimensionality_Reduction_Problems.zip>`
- **{doc}`5.3 - Clustering - Carbon XPS Spectra <Topic5.3-Clustering_Problems>`** (accompanies {doc}`/5-exploratory_data_analysis/Topic5.3-Clustering`) · {download}`zip <archives/Topic5.3-Clustering_Problems.zip>`
- **{doc}`5.4 - Generative Models - XPS Batch Screening <Topic5.4-Generative_Models_Problems>`** (accompanies {doc}`/5-exploratory_data_analysis/Topic5.4-Generative_Models`) · {download}`zip <archives/Topic5.4-Generative_Models_Problems.zip>`