My submissions for the weekly TidyTuesday Project created using R and ggplot2
Published

January 1, 2024

Overview

TidyTuesday is a weekly data project aimed at the R ecosystem. Every week, a new dataset is posted, and participants create visualizations and share their work on social media. This repository contains my submissions for the weekly TidyTuesday Project, created using R and ggplot2.

About TidyTuesday

The TidyTuesday project is:

  • A safe and supportive forum for individuals to practice their data wrangling and visualization skills
  • A weekly social data project that focuses on understanding data
  • An opportunity to work with real-world datasets and create compelling visualizations

Key Features

  • Weekly Visualizations: Regular contributions exploring diverse datasets
  • R & ggplot2: All visualizations created using R’s powerful ggplot2 package
  • Data Storytelling: Each visualization tells a unique story about the data
  • Reproducible Code: All code is available for learning and reproduction

Technologies Used

Languages & Tools - R - ggplot2 - tidyverse - RStudio

Skills Demonstrated - Data wrangling - Statistical visualization - Design principles - Data storytelling

Sample Visualizations

My TidyTuesday submissions cover a wide range of topics and datasets, including:

  • Economic trends and indicators
  • Social and demographic data
  • Sports statistics
  • Environmental data
  • Cultural and entertainment data

Each visualization is crafted to: - Clearly communicate insights from the data - Follow best practices in data visualization - Use effective color schemes and typography - Be accessible and easy to understand

What I Learned

Participating in TidyTuesday has helped me: - Develop stronger data visualization skills - Learn to work with diverse datasets quickly - Understand design principles for effective communication - Build a portfolio of data visualization work - Engage with the R community


Ongoing project with weekly contributions