This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.

R Data Analysis Projects

Analysis and Visualization with R for various datasets

A correlation study between California State University graduation rates and student satisfaction ratings scraped from ratemyprof.com

Analyzed the relationship between BMI and life satisfaction using data from the CCHS. Explored the moderating effect of diabetes and accounted for nonlinearity in the relationship. Built multiple regression models in R, conducted robustness checks, and identified public health implications related to obesity and wellbeing.

Successfully built a crop yield prediction system using advanced machine learning in R, which leverages agro-environmental, soil, and weather data to forecast agricultural yield (in tons per hectare). It features an automated pipeline for data preprocessing, model training, and evaluation, to support data-driven agricultural decisions.

Classic Models In R project showcases data analysis using R. It covers establishing a MySQL connection, using R Studio for various analyses including bar charts, pie charts, diverging bar charts, histograms, ordered bar charts, treemaps, and world maps. The scenarios demonstrate R's graphical capabilities with Classic Models dataset.

Successfully developed a robust customer churn prediction system using advanced machine learning models in R, leveraging techniques like logistic regression, decision trees, random forests, boosting, bagging, SVM, neural networks, and regularization methods (Lasso/Ridge).

This project investigates the impact of flight type, crash cause, and region on fatality rates using t-tests, proportion tests, ANOVA, and linear regression. Developed for the Foundations of Machine Learning course, demonstrating proficiency in hypothesis testing, statistical modelling, and data-driven decision-making.

An R-based statistical analysis of US police killings, using data from mappingpoliceviolence.us. This project explores trends in police-related fatalities by demographics, region, armed status, and officer convictions. Completed for the Foundations of Analytics course.