Introduction to Exploratory Data Analysis in R in Data Science with R Programming
What is Exploratory Data Analysis?
Exploratory Data Analysis (EDA) is the process of analyzing datasets to understand their structure, patterns, and relationships. It helps data scientists discover trends, detect anomalies, and prepare data for machine learning models.
Why EDA is Important
- Understand dataset structure
- Identify missing values
- Detect outliers
- Discover relationships between variables
r
data(mtcars)
head(mtcars)
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