Skip to content
CampusEduX

Problem 2: Scale Data Before Applying PCA

Easypython
Learn the Concept: PCA (Principal Component Analysis)

Problem Description

Write a Python program that scales a dataset using StandardScaler before applying PCA, demonstrating the correct preprocessing order.

Input

A dataset with features of different scales.

Output

The PCA-transformed data, using properly scaled input.

Constraints

  • At least 5 data rows.

Example Input

text
(A dataset with features like age and salary, of very different scales)

Example Output

text
(PCA-transformed data based on properly scaled features)

Concepts Covered

StandardScaler, PCA, correct preprocessing order.

Related Problems

  • Problem 1: Apply Basic PCA and Check Explained Variance
    Easy · python
    Solve Problem
  • Problem 3: Determine Components Needed for 95% Variance
    Easy · python
    Solve Problem
  • Problem 4: Visualize High-Dimensional Data in 2D Using PCA
    Easy · python
    Solve Problem

Input (stdin)

Output

Run your code to see output here...