R Mid-Semester Presentation

Project Overview

This repository contains materials for our R Mid-Semester Presentation, an assignment worth 20% of the final course grade.

The objective of this project is to research and teach the class about an R package that has not been covered in class. We aim to demonstrate the package’s purpose, functionality, and practical applications using real data and reproducible R code.

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Team Members

Vladyslav Byblyi

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Presentation Details

• Presentation Date: October 7
• Duration: 5 minutes
• Format: Team presentation (2–3 members)

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Assignment Requirements

1. Choose at least one R package not previously covered in class.

   Do not use: MASS, ISwR, ggplot2, or rgl.

2. Research the package’s purpose and capabilities.
3. Create a short presentation that:
   • Introduces the package and its main functions
   • Demonstrates several functions using real data
   • Explains how and why the package is useful
4. Include slides and a live code demonstration.

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Repository Contents

File	Description
Visualizing Data Relationships With visNetwork.pptx	PowerPoint presentation introducing and explaining the package
DSS445_visNetwork_10.08.R and EvalsDataPresent.R	R scripts with working examples demonstrating the package’s functions
evals.csv and Cars93.csv	Folders containing datasets used in examples
README.md	This file — overview of the project and structure

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Suggested Workflow

1. Research potential R packages (dplyr, shiny, lubridate, caret, etc.).
2. Select one that offers interesting functionality for your audience.
3. Explore its documentation and try examples in RStudio.
4. Build your slides and demo script.
5. Test everything before presentation day.

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Example Topics

If you need inspiration, search online for:

“Most useful R packages” or “Top R packages for data analysis”

Some great areas to explore:

• Data manipulation (data.table, tidyr)
• Visualization (plotly, highcharter)
• Machine learning (caret, randomForest)
• Web apps (shiny)
• Time series (forecast, tseries)

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Submission Checklist

PowerPoint slides (.pptx)
R script (.R) with clean, working examples
Data files (if applicable)
Uploaded to GitHub and ready for presentation day

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Goal

By the end of this presentation, classmates should:

• Understand what the chosen R package does
• Know when and why to use it
• Be able to run basic examples using your provided R script

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Instructor Reminder: Presentations are due October 7 — come ready to teach, not just present!