Data Visualisation Project

This project demonstrates how to create clear, informative plots using both ggplot2 and base R graphics. You’ll find scripts that load and clean data, generate visualisations, and export them as images and a PDF.

Project Structure

data-viz/
├── .Rproj.user/                    # RStudio project files (do not edit)
├── data/                           # Raw and cleaned data files
│   └── …
├── data-viz.Rproj                  # RStudio project descriptor
├── data-viz-project-script-1.R     # ggplot2 script
├── data-viz-project-script-2.R     # Base-R script
├── dimonds-areaplot.png            # Example ggplot2 output
├── scatterplot.png                 # Example base-R output
└── area.pdf                        # High-resolution ggplot2 area plot

Prerequisites

• R (version 4.0.0 or above)
• RStudio (recommended)
• R packages:
  • tidyverse
  • inspectdf
  • janitor
  • bulkreadr

You can install the required packages with:

install.packages(c("tidyverse", "inspectdf", "janitor", "bulkreadr"))

Getting Started

1. Clone the repository

   git clone https://github.com/your-username/data-viz.git
   cd data-viz

2. Open the project Double-click data-viz.Rproj in RStudio to load the project environment.

3. Run the scripts Run each script line by line

Script Descriptions

• data-viz-project-script-1.R

  • Loads and cleans the data
  • Uses ggplot2 to build a layered area chart
  • Exports the result to dimonds-areaplot.png and area.pdf

• data-viz-project-script-2.R

  • Prepares the data for the base graphics
  • Uses base R plotting syntax to build chart
  • Saves the figure as scatterplot.png

Results

• scatterplot.png — a quick exploratory scatter plot
• dimonds-areaplot.png — a polished ggplot2 area chart
• area.pdf — publication-quality version of the area chart

Data

Place any raw data files (for example diamonds.csv) in the data/ folder. The scripts assume that files in data/ are ready to be read with readr::read_csv().

Contributing

Contributions are welcome. Please open an issue or submit a pull request with improvements or bug fixes.

Licence

This project is released under the MIT Licence.