Exploratory Data Analysis

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Exploratory Data Analysis(EDA) is the process of looking at data before doing any detailed analysis. Its goal is to understand what the data looks like, find mistakes or unusual values, and discover simple patterns. In EDA, we check how individual variables are distributed, see whether two variables seem related, and identify outliers that may need attention. This is often done using simple charts and basic statistics.

EDA does not try to prove conclusions. Instead, it helps us understand the data and decide how to analyze it properly. Without EDA, data analysis can easily lead to wrong results.