DataFrame Info & Stats

After loading data, you need to understand its structure and contents. Pandas provides many inspection methods.

Basic Properties

Data Types

Check the type of each column:

Descriptive Statistics

Get statistical summary of numeric columns:

Info Method

Get a comprehensive summary:

Preview Methods

View portions of your data:

Exercise: Explore Data

Exercise: Count Values

Key Points

• .shape returns (rows, columns) tuple
• .dtypes shows column data types
• .describe() gives statistical summary
• .head(n) / .tail(n) preview data
• .value_counts() counts unique values
• .isnull().sum() counts missing values