Posts

Showing posts from May, 2026

Building an R Package for Student Data Analysis: Final Project

GitHub:  https://github.com/nbrown022/gradeTools-package.git  For this project, I created an R package designed to perform basic data analysis tasks on student data. The goal of the package is to provide simple, easy-to-use functions that can clean data, calculate averages, generate summary statistics, visualize values, and identify maximum scores. The package includes several functions that each serve a specific purpose. The clean_data() function removes missing values from a dataset, which is important for ensuring accurate analysis. The calc_average() function calculates the mean of a numeric vector while ignoring missing values. The summary_stats() function provides a quick statistical overview of a dataset, including measures such as minimum, maximum, median, and quartiles. The max_score() function returns the highest value in a dataset, which can be useful for identifying top performance. Finally, the plot_grades() function creates a simple scatter plot to visualiz...