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Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA) is the process of examining a dataset before performing detailed analysis or modeling. It helps us understand the structure, quality, and characteristics of the data.

During EDA, we typically:

  • Inspect the first few records
  • Identify missing values
  • Check data types
  • Calculate summary statistics
  • Explore the distribution of variables
  • Identify unusual observations or outliers

For example, in this project we can investigate:

  • Which team has won the most matches?
  • Which player has received the most Player of the Match awards?
  • Which venues host the highest number of matches?
  • How many matches were played in each IPL season?

EDA provides a strong foundation for generating reliable insights.