For datasets with multiple features, EDA often involves dimensionality reduction techniques like PCA to visualize data in two or three _______.
- Planes
- Points
- Dimensions
- Directions
Exploratory Data Analysis (EDA) often employs dimensionality reduction techniques like Principal Component Analysis (PCA) to visualize data in lower-dimensional spaces (2 or 3 dimensions) for better understanding, hence the term "dimensions."
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