GPA Correlation Analysis

This repository contains an R Markdown data visualization project that explores correlations between student GPAs and various factors. The purpose of this analysis is to identify significant relationships that may help stakeholders (e.g., educators, administrators, parents, and students) better understand the factors that contribute to academic success.

Getting Started

To get started with the project, clone this repository to your local machine and follow the installation instructions below.

Prerequisites

To run this project, you will need to have the following software installed on your system:

• R (>= 4.0.0)
• RStudio (optional, but recommended)

Installation

1. Install the required R packages by running the following commands in your R console:

install.packages("tidyverse")
install.packages("ggplot2")
install.packages("corrplot")
install.packages("knitr")
install.packages("rmarkdown")

1. Open the GPA_Correlations.Rmd file in RStudio (or your preferred R environment).
2. Run the R Markdown file by clicking the "Knit" button in RStudio (or use the rmarkdown::render() function).

Data

The dataset used in this project contains anonymized student data, including GPA, demographic information, and several other factors. The data has been preprocessed and cleaned to ensure quality and consistency.

License

Please note that the code in this repository is provided solely for demonstration purposes and should not be used for any other purpose.

Acknowledgments

• The educators and administrators who provided the anonymized student data
• The R community for creating and maintaining the packages used in this project