https://github.com/lucy0906/software-tools-for-data-analysis-final-project

OPR9750 Final Project
https://github.com/lucy0906/software-tools-for-data-analysis-final-project

r

Last synced: about 1 month ago
JSON representation

OPR9750 Final Project

• Host: GitHub
• URL: https://github.com/lucy0906/software-tools-for-data-analysis-final-project
• Owner: Lucy0906
• Created: 2024-08-22T19:07:02.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-12-05T04:25:42.000Z (about 2 months ago)
• Last Synced: 2024-12-15T11:08:30.255Z (about 1 month ago)
• Topics: r
• Language: R
• Homepage:
• Size: 79.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Software Tools for Data Analysis: Final Project

This project serves as a comprehensive demonstration of using **R** for data analysis, visualization, and modeling. It showcases a variety of techniques and tools to analyze and present insights from complex datasets. Developed as a final project for the *Software Tools for Data Analysis* course, it combines statistical rigor with the power of R for business and research-oriented analytics. Showing mpact of universal access to tertiary education on the expansion of the middle-income group

## Key Features

- **Data Exploration and Cleaning:**  

  - Handles missing values, outliers, and formatting inconsistencies.  

  - Summarizes data with statistical and graphical methods.  

- **Advanced Analysis:**  

  - Performs hypothesis testing, regression analysis, and clustering.  

  - Applies machine learning models for predictive analytics.  

- **Visualization:**  

  - Creates clear, insightful visualizations using libraries such as **ggplot2** and **plotly**.  

  - Includes dashboards and interactive visualizations for enhanced usability.  

- **Reproducibility:**  

  - Implements reproducible workflows with **RMarkdown** and **tidyverse**.  

  - Includes detailed documentation for transparency and ease of use.  

## Tools & Technologies

- **R**: Core programming language for the entire project.  

- **RMarkdown**: To generate detailed reports and documentation.  

- **Tidyverse Suite**: For data manipulation and visualization.  

- **Shiny/Dashboarding**: Interactive web apps or dashboards for user-friendly analysis.  

- **Statistical Models**: Linear regression, logistic regression, clustering, and hypothesis testing.  

## Use Case

The project demonstrates practical applications of **R** in solving real-world data challenges, making it ideal for academic research, business analytics, and exploratory data analysis. It is a robust example of how **R** can transform raw data into meaningful insights.

## Repository Link

[Software Tools for Data Analysis - Final Project](https://github.com/Lucy0906/Software-Tools-for-Data-Analysis-Final-Project)