Spreadsheets, bikes, and the accidental empire of R packages — with Hadley Wickham
Before Hadley Wickham became a pillar of modern data science, he was a spreadsheet-loving teenager making databases for his dad’s job. In this episode, he reflects on the early days of his involvement with R, the birth of tidyverse, and how real-world unpredictability — like a bear in a field — shapes data science.What’s Inside:Hadley’s first brush with R code … inside a Word docConsulting as a grad student — and learning what people really want from statsHow messy Excel sheets inspired the tidy data revolutionWriting R packages as a form of self-defense (and productivity)The secret sauce of building the tidyverse teamOn focus, burnout, and saying “no” to GitHub pull requestsCurrent obsession: using LLMs to make data science faster, easier, and more funHow writing books is a form of tidying ideas, and how a Shiny textbook led to a custom bike
A Posit podcast for data science junkies, anomaly hunters, and those who play outside the confidence interval. Hosted by Michael Chow, with co-hosts Wes McKinney & Hadley Wickham.
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