– The Probability and Statistics Cookbook
– A Complete Introduction to R for Data Science
– One year in vis
– 10 Tips for Using Geolocation and Open Source Data to Fuel Investigations
– Using the terra R package to view, download and analyze Google Earth Engine Images
– Converting Between Currencies Using priceR
– Level Up Your Labels: Tips and Tricks for Annotating Plots
– Quick and easy ways to deal with long labels in ggplot2
– Small spatial multiples with R
– Replacing the Magrittr Pipe With the Native R Pipe
– Piping in R is like baking!
– A Business Analyst’s Introduction to Business Analytics
– Graph Machine Learning at Airbnb
– Deconvolution vs Clustering Analysis: An exploration via simulation
– Extracting spatial data from OpenStreetMap
– Compound pejoratives on Reddit – from buttface to wankpuffin
– A cross-verified database of notable people, 3500BC-2018AD
– How to build an interactive point-and-click game with {Shiny}
– Mapping a marathon with {rStrava}
– Introduction to GitHub Actions to R users
– What background color should your data vis have?
– Animated map of agricultural subsidies by US county (2010-2019)
– Tidy Finance with R
– Misleading graphs in context: Less misleading than expected
– DevOps for Data Science
– Ethical Principles for Web Machine Learning
– Python for Data Analysis
– BertViz: Visualize Attention in NLP Models
– How the Ancient Egyptians Built the Original Skyscrapers with Data
– The Poisson distribution: From basic probability theory to regression models
– Surviving from scratch
– Reshaping data frames using pivot functions from {tidyr} and tally from {dplyr}
– A Beginner’s Introduction to Mixed Effects Models
– Are Vertical Line Charts Ever a Good Idea?
– Streamlining with R
– Pen and Paper Exercises in Machine Learning
– Things You Should Know About Databases
– Publicly Available Emotional Speech Dataset (ESD) for Speech Synthesis and Voice Conversion
– Custom colour palettes for {ggplot2}
– Learning Statistical Models Through Simulation in R
– A Comprehensive Database on the FIFA World Cup
– How to do amazing Twitter network analysis in R
– Stepping into {ggplot2} internals with {ggtrace}
– Eight R Tidyverse tips for everyday data engineering
– Data in Wonderland
– Visualising knowledge: Lessons from 25 years of policy-related data visualisation
– A curated list of awesome posts, videos, and articles on leading a data team (small and large)
– Predicting with decision tress using rpart
– A Docker Tutorial for Beginners
– Correlation vs covariance: it’s much simpler than it seems
– Critical Dataset Studies Reading List
– bnomial: One machine learning question every day
– Doing more with data: An introduction to Arrow for R users
– Outrageously efficient exploratory data analysis with Apache Arrow and dplyr
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