Tidyverse Blogs

2/5/2026 • EN

Michael Toth

Michael Toth is a consulting data scientist and writer known for clear, practical guides to data visualization in R. His work focuses on ggplot, effective graph design, and helping data scientists communicate insights with impact.

Data Science R Programming Data Visualization

Michael Toth

20

2/1/2026 • EN

Edwin Thoen

Edwin Thoen’s blog explores practical insights in data science, machine learning, and R programming. He writes about reproducible workflows, model management, data analysis, and strategies to avoid overengineering and improve project outcomes.

data science machine learning r programming

Edwin Thoen

9

2/1/2026 • EN

Tom Mock

Tom Mock’s blog focuses on R programming, data visualization, and reproducible research. He shares practical tutorials for RMarkdown, Quarto, tidyverse, and creative data presentation techniques.

r programming data visualization rmarkdown

Tom Mock

20

1/31/2026 • EN

Zoe Locke

Zoe Locke writes about the R programming ecosystem, covering package development, testing, data manipulation, and tips for R users at all levels. Her posts include practical advice, tutorials, and insights for R developers and data scientists.

R programming R packages data science

Zoe Locke

18

1/28/2026 • EN

Mara Averick

Mara Averick is a data enthusiast and R programmer who shares insights, tutorials, and tips on data analysis, visualization, and reproducible workflows. She creates and explores tools in the R ecosystem, including packages like {datapasta}, and enjoys making data more accessible and visually engaging.

R data visualization reprex

Mara Averick

31

1/28/2026 • EN

Garrick Aden-Buie

Garrick Aden-Buie is a Software Engineer for Shiny at Posit (formerly RStudio), building tools with R, Shiny, and R Markdown to support data science workflows. He is also an educator and former data scientist with experience in health analytics and smart home research.

Shiny R development data science tools

Garrick Aden-Buie

19

1/28/2026 • EN

Andrew Heiss

Andrew Heiss is a researcher and educator focused on data visualization, causal inference, and applied statistics using R and Bayesian methods. He writes extensively about reproducible research, GIS, and analytical workflows, and teaches data science and social science methods.

data visualization causal inference R programming

Andrew Heiss

55

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

Tidyverse Blogs

Michael Toth

Edwin Thoen

Tom Mock

Zoe Locke

Mara Averick

Garrick Aden-Buie

Andrew Heiss

Thomas Lumley

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