The Mad Hatter’s Guide to Data Viz and Stats in R
Data Viz and Stats
Tools
Introduction to R and RStudio
Descriptive Analytics
Data
Inspect Data
Graphs
Summaries
Counts
Quantities
Groups
Distributions
Groups and Distributions
Change
Proportions
Parts of a Whole
Evolution and Flow
Ratings and Rankings
Surveys
Time
Space
Networks
Miscellaneous Graphing Tools, and References
Inference
Basics of Statistical Inference
🎲 Samples, Populations, Statistics and Inference
Basics of Randomization Tests
Inference for a Single Mean
Inference for Two Independent Means
Inference for Comparing Two Paired Means
Comparing Multiple Means with ANOVA
Inference for Correlation
Testing a Single Proportion
Inference Test for Two Proportions
Modelling
Modelling with Linear Regression
Modelling with Logistic Regression
🕔 Modelling and Predicting Time Series
Workflow
Facing the Abyss
I Publish, therefore I Am
Data Carpentry
Arts
Colours
Fonts in ggplot
Annotating Plots: Text, Labels, and Boxes
Annotations: Drawing Attention to Parts of the Graph
Highlighting parts of the Chart
Changing Scales on Charts
Assembling a Collage of Plots
Making Diagrams in R
AI Tools
Using gander and ellmer
Using Github Copilot and other AI tools to generate R code
Using LLMs to Explain Stat models
Case Studies
Demo:Product Packaging and Elderly People
Ikea Furniture
Movie Profits
Gender at the Work Place
Heptathlon
School Scores
Children’s Games
Valentine’s Day Spending
Women Live Longer?
Hearing Loss in Children
California Transit Payments
Seaweed Nutrients
Coffee Flavours
Legionnaire’s Disease in the USA
Antarctic Sea ice
William Farr’s Observations on Cholera in London
Projects
Project: Basics of EDA #1
Project: Basics of EDA #2
Experiments
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