Tidy Data by Hadley Wickham

A huge amount of effort is spent cleaning data to get it ready for analysis, but there has been little research on how to make data cleaning as easy and effective as possible. This paper tackles a small, but important, component of data cleaning: data tidying. Tidy datasets are easy to manipulate, model and visualize, and have a specific structure: each variable is a column, each observation is a row, and each type of observational unit is a table. This framework makes it easy to tidy messy datasets because only a small set of tools are needed to deal with a wide range of un-tidy datasets. This structure also makes it easier to develop tidy tools for data analysis, tools that both input and output tidy datasets. The advantages of a consistent data structure and matching tools are demonstrated with a case study free from mundane data manipulation chores.

Google Chrome’s plan to limit ad blocking extensions kicks off next week

Chrome's Manifest V3 transition is here. First up are warnings for any V2 extensions.

Collapsible Systems Wiki

On the Cultural History of Time Series Graphs | ZfdG - Zeitschrift für digitale Geisteswissenschaften

Taking the insights from diagrammatology as background, this essay seeks to answer the question of how the history of visual representation of temporal processes can be captured, and how the emergence of the statistical time series graph has influenced our ideas about time, history, and stories.

eisenhower-matrix-kanban - TfT Hacker

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Become a Wikipedian in 30 minutes

What will we do if Wikipedia falls to the type of AI-generated garbage that seems to be proliferating on the web? The number one thing you can do is learn to edit, and I will walk you through how to get started in only 30 minutes.