30+ R projects with Source Code 2025

R programming language is a language widely used across various domains for data analysis, statistical modeling and visualization. This article will provide a comprehensive list of 30+ projects in R, segregated into domains like healthcare, finance, marketing and more. Each section will outline how R is utilized within that domain, followed by links to articles detailing specific projects.

1. Healthcare

In healthcare, R is extensively used for analyzing medical datasets, predicting health outcomes and visualizing trends related to diseases, treatments and patient information. It enables healthcare professionals to make data-driven decisions and improves the overall quality of patient care.

• Heart Disease Prediction Using Logistic Regression in R
• Predictive Healthcare Analysis in R
• Clinical Trial Outcome Analysis in R
• Diabetes Prediction using R

R is a popular tool in the finance industry for portfolio management, risk analysis and stock price prediction. Its vast libraries and tools for time series analysis, financial modeling and econometrics make it an essential tool for financial analysts.

• Stock Data Analysis and Data Visualization with R
• Finance Tracker Dashboard in Data Analysis Using R
• GE Stock Price Analysis Using R Language
• Financial Fraud Detection in R
• S&P 500 Companies Data Analysis Tutorial using R
• Predicting Loan Default in R

3. Marketing

R is widely used in marketing to analyze consumer behavior, perform sentiment analysis and evaluate campaign effectiveness. By leveraging R, marketers can extract actionable insights from customer data to improve targeting and optimize strategies.

• Social Media Usage Analytics Dashboard in R
• Sentiment Analysis for Customer Reviews in R
• Sentiment Analysis Using 'quanteda' in R
• Analyzing Social Media Brand Mentions in R
• Movie and TV Show Recommendation Engine in R

4. Retail

In retail, R helps analyze sales trends, optimize pricing, predict consumer demand and enhance customer satisfaction. Its statistical and machine learning capabilities allow businesses to make informed decisions based on data.

• E-commerce Sales Analysis in R
• Retail Store Location Analysis in R
• Hotel Bookings Analysis in R
• Analyzing Food Delivery Data in R
• Analyzing Car Sales Data in R

5. Human Resources

R aids HR professionals in analyzing employee performance, predicting attrition and improving workforce management. By analyzing HR data, companies can optimize talent retention and identify areas for improvement.

• Human Resource Management Analytics Dashboard in R
• Employee Performance Analysis in R
• Employee Attrition Prediction in R

6. Telecom

In telecom, R is used for customer churn analysis, network traffic analysis and predicting service outages. It helps telecom companies optimize customer retention and improve service offerings.

• Telecom Customer Churn Analysis in R
• Network Traffic Analysis Visualization in R

7. Real Estate

In real estate, R helps analyze market trends, property valuations and predict future price changes. Real estate professionals use R for in-depth analysis and visualizations of property data.

• Analyzing Housing Market Trends in R
• Real Estate Market Trends Dashboard in R

8. Technology

In the tech industry, R is used for analyzing software performance, user behavior and trends. It helps in building recommendation systems, predicting software issues and analyzing user feedback.

• Netflix Stock Price Prediction & Forecasting using Machine Learning in R
• Analyzing Google Play Store Reviews in R
• Latent Text Analysis (lsa Package) Using Whole Documents in R

9. Environment

R is increasingly used to analyze climate change data, predict natural disasters and visualize weather patterns. Its unique visualization and statistical capabilities enable researchers to study environmental changes over time.

• Natural Disaster Prediction in R
• Weather and Climate Change Trends Visualization in R
• Weather Data Visualization using R