The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

The main objective of this project is to build a model to identify whether the delivery of an order will be late or on time.

Companion for the 2023 manuscript in Cancer Epidemiology, Biomarkers & Prevention entitled "Geographic Patterns in U.S. Lung Cancer Mortality and Cigarette Smoking"

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

Application web R Shiny : Heart Disease Prediction

This script performs an exploratory data analysis on public opinion regarding military governments in Burkina Faso and Botswana. The analysis is based on survey data, and it examines the relationship between respondents' opinions and their gender. The script covers data cleaning, recoding, visualization, bivariate analysis, and linear regression.