Exploratory Data Analysis

Taking a cursory glance at the structure of a new dataset is always important because it helps you develop good questions that will serve as the starting point for your initial exploration of the data. Below you'll find information related to the EDA stage of working with data.

• Reading Data
• Viewing Data
• Working with Missing Values
• Working with Duplicate Values
• Data Visualization
• Indexing and Filtering Data
• Data Types
• Feature Engineering
• Data Transformations