LIS 4370: Module # 10 Building your own R package


Module # 10 Building your own R package 


GitHub Link: https://github.com/agremer/LIS4370/blob/main/DESCRIPTION%20File

DECRIPTION File:


Package: DataVisTools

Title: Alec Gremer's Data Visualization Test Implementation

Version: 0.1.0.9000

Authors@R: "Alec Gremer, agremer@usf.edu [aut, cre]"

Description: DataVisTools is an R package designed to streamline data visualization tasks by offering a versatile set of functions. It will include interactive visualization features, customizable plot aesthetics, statistical visualization tools, geospatial mapping capabilities, and time series analysis functions. Comprehensive documentation and an MIT License will ensure ease of use and widespread adoption. Implementation will prioritize S3 classes and methods for flexibility. 

Depends: R (>= 3.1.2)

License: CC0

LazyData: true



For the final project, I proposed an R package named DataVisTools, which will serve as a comprehensive toolkit for data visualization tasks. This package will offer a range of functions designed to simplify the process of creating informative and visually appealing plots for exploratory data analysis and presentation purposes. Key features of DataVisTools will include interactive visualization functions leveraging Plotly and ggplot2, customization options for plot aesthetics, statistical visualization tools such as histograms and box plots, geospatial visualization capabilities for mapping data points, and time series visualization functions for analyzing trends and seasonality. To ensure usability and clarity, DataVisTools will come with thorough documentation, including long-form vignettes and metadata. The package will be released under the CC0 License, allowing for free use, modification, and distribution while maintaining proper attribution. Implementation will primarily utilize S3 classes and methods for flexibility and simplicity.

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