Multivariate regression analysis using attitude dataset with model selection and assumption testing (VIF, Durbin-Watson, diagnostic plots).

This report visualizes Formaldehyde, CO2, and HairEyeColor datasets using Base R and ggplot2 with interpretations.

This report analyzes the sentiment of Tata Motors' Management Discussion and Analysis (MD&A) section for FY24 and FY25 using R. It includes sentiment classification using the NRC lexicon and visual comparison through bar charts.

This report presents a multiple linear regression analysis on the Boston Housing dataset using R. The study includes model building, variable selection, and diagnostic tests such as Breusch-Pagan and VIF.