📊 Data Analysis
Exploratory Data Analysis
EDA is the bedrock of data science. This section covers textbook patterns for understanding data distributions and relationships.
● Intermediate
📖 Based on: Python for Data Analysis — Wes McKinney
📋 Table of Contents
1 · The Goal of EDA
Textbook Definition
"Exploratory Data Analysis is not a formal process with a strict set of rules. More than anything, EDA is a state of mind. You should use it to investigate the quality of your data." — Wes McKinney
2 · Return Value: .describe()
🔁 Return Value
The df.describe() method returns a DataFrame where indexes are the statistics (count, mean, std, etc.) and columns are the numeric features of the original data.