Data Science

Posts about data analysis, statistics, visualization, machine learning, and the practice of extracting insight from data.

2025-10-18One Small Command
2023-02-26Provenance Revisited
2022-11-13The Notebook Not Taken
2022-10-29I Don't Know What to Teach
2021-09-22Data Science Deployed
2021-07-22Whatever Happened to TidyBlocks?
2021-01-19Data Dictionaries
2021-01-03Concept Maps
2020-01-03Data Science Theory vs. Practice
2019-12-31Correlations
2019-12-23Gini Coefficients
2019-09-04TidyBlocks Webinar
2019-08-22Finally Real
2019-07-07A Veteran of a Thousand Language Wars
2019-06-16Chunks versus Functions
2019-05-28Checking-Driven Development
2019-05-02Sexing Data Science Chickens
2019-02-04Classifying Data
2018-12-29Data Wrangling with JavaScript
2018-12-02One Last Step
2018-11-16Non-Standard Evaluation in R
2018-10-24Two Columns
2018-01-09Teaching Statistics in the 21st Century
2017-12-27Data Visualization as Industrial Design
2017-12-15What Does Peripheral Participation in Data Look Like?
2017-11-20Data Science for Software Development
2016-01-03A Data Programming CS1 Course at the University of Washington
2015-02-09Plot This
2014-01-30Workshops at the Data Science Centers
2013-07-18Data Science Workflows
2012-10-25Prime Numbers, Biologists, and Data Visualization
2009-05-05Opening Up Toronto's Data
2009-03-25Inference for R