TidyTuesday
A weekly social data project providing real-world datasets for practicing data tidying, visualization, and analysis.
What is TidyTuesday?
TidyTuesday is a weekly social data project that provides curated, real-world datasets for people to practice and learn data science skills. It releases new datasets every Monday, encouraging participants to explore the data, create visualizations or models, and share their work with the community using dedicated hashtags. The project emphasizes hands-on learning through data tidying and visualization techniques while cautioning against drawing causal conclusions.
Data science learners, students, educators, and practitioners who want to practice data analysis, visualization, and modeling with real-world data in languages like R, Python, or Julia. It is also used by academic instructors to incorporate practical datasets into courses.
Developers choose TidyTuesday for its consistent, community-driven supply of diverse, real-world datasets that are ready for analysis, its supportive multi-language community for sharing and feedback, and its educational focus on practical skill-building over theoretical exercises.
Overview
Official repo for the #tidytuesday project
Use Cases
Best For
- Practicing data tidying and cleaning techniques with new, real-world datasets each week.
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