Analysis of using numerical inputs vs. brackets for survey questions like age and income, focusing on UX and data analysis trade-offs.
A quick-start guide to using the R programming language for data analysis, covering installation, data exploration, and basic plotting with the iris dataset.
An introduction to the #30DayChartChallenge, a community data visualization event with daily prompts for April, including its origins and format.
Explores a future AI-assisted computer interface model inspired by sci-fi, where AI highlights data anomalies for human specialist review.
A technical tutorial on using R to read, analyze, and visualize your downloaded Twitter archive data, including tweets, likes, and ad history.
A tutorial demonstrating how to use the R `slider` package for rolling window analysis, using NFL quarterback performance data as an example.
Analysis of Auckland bus cancellations using R and GTFS data to visualize which trips are being removed from the timetable.
Analyzing conference session ratings using DuckDB and Jupyter Notebooks to demonstrate data wrangling and SQL on raw CSV data.
The State of CSS 2022 survey is now open, gathering developer feedback on new CSS features, pain points, and usage patterns.
A warning about a subtle pandas groupby issue that can lead to incorrect data aggregation sums if missing values are not handled properly.
An analysis of futurist prediction methods, comparing accurate forecasters with those who have poor track records.
A behind-the-scenes look at how the program committee used data and tools to select talks for the Current 2022 and Kafka Summit tech conferences.
A security engineer shares key lessons and query patterns learned from a year-long #365daysofKQL challenge, focusing on threat hunting and log analysis.
A guide to embedding source notebook metadata in Excel reports using Python's pandas and xlsxwriter to simplify tracking and refreshing analyses.
Introducing gtExtras, an R package for creating beautiful, functional tables with opinionated themes and inline graphics.
A guide explaining marginal effects in regression analysis, including definitions and differences between types like average marginal effects, using R packages.
Analyzing chess game data from lichess.org to determine if fast thinking is the dominant factor in game outcomes across different time controls.
Analyzes if NPM package popularity correlates with quality using data from npms.io, finding it can be an indicator but not a guarantee.
Explains how to apply Bayesian thinking and probability to critically analyze news articles and identify underlying biases.
A developer's critique of Twitter's algorithmic Home feed, explaining why it failed to show relevant tech content and seeking alternatives.
