The Mad Hatter’s Guide to Data Viz and Stats in R
Data Viz and Stats
Tools
Data Viz and Stats
Tools
Introduction to R and RStudio
Studio Flow and Data Kits
12-Day Studio Index
Healthcare Data Kits
Visualization
Data
Inspect Data
Graphs
Summaries
Counts
Quantities
Groups
Distributions
Groups and Distributions
Change
Proportions
Hierarchy
Evolution and Flow
Ratings and Rankings
Surveys
Time
Space
Introduction to Maps
What is Vector Data?
The Grammar of Maps
Interactive Maps with leaflet
Networks
Miscellaneous Graphing Tools, and References
Inference
Basics
🎲 Samples
Randomization
One Mean
Two Independent Means
Two Paired Means
Multiple Means (ANOVA)
Correlation
One Proportion
Two Proportions
Modelling
Linear Regression
Logistic Regression
🕔 Time Series
Workflow
Facing the Abyss
I Publish, therefore I Am
Data Carpentry
Arts
Colours
Fonts for Charts
Branding and Typography
Annotations
More Annotations
Highlighting
Scales
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
No Free Hunch
Categories
All
(1)
Metaphors with Data and Geometry
(1)
Posit
(1)
R
(1)
RStudio
(1)
Data Viz and Stats
Tools
Tools and Software
Published
December 31, 2022
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Introduction to R and RStudio
10 min
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Data Viz and Stats
Introduction to R and RStudio
