Data-Analysis-in-R

• Analysis:

1. Data Mining
2. Transformation

• Cleaning (removing NULL values)

• Renaming and converting Data

• Joining data sets

3. Visualizations: Exploring Patterns and Correlations Between Variables

• Bar charts

• Scatterplots

• Linear Model

4. Statistical Analysis

• Performing T-tests

5. Supervised Learning

• Classification and Regression Models

• Data sets:

1. mpg
2. diamonds
3. housing
4. sales