Potpourri: Statistics #86

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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