Understanding your Data Set

Python functions for data exploration and description. Great for exploratory analysis and troubleshooting.

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Loading Data:

• pd.read_csv(): Load data from a CSV file.
• pd.read_excel(): Load data from an Excel file.

Basic Information:

• df.head(): Display the first few rows of the DataFrame.
• df.tail(): Display the last few rows of the DataFrame.
• df.info(): Get a summary of the DataFrame, including the data types and non-null values.
• df.describe(): Generate descriptive statistics for numeric columns.

Data Types and Structure:

• df.dtypes: Display the data types of each column.
• df.shape: Get the dimensions of the DataFrame (rows, columns).

Column and Index Information:

• df.columns: List all column names.
• df.index: Display the index (row labels) of the DataFrame.

Missing Values:

• df.columns: List all column names.
• df.isnull().sum(): Count the number of missing values in each column.

Unique Values and Value Counts:

• df[‘column’].unique(): Get unique values in…