The Mad Hatter’s Guide to Data Viz and Stats in R
  1. Data Viz and Stats
  2. Case Studies
  • 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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  1. Data Viz and Stats
  2. Case Studies

Case Studies

Published

September 2, 2024

Title Reading Time
Demo:Product Packaging and Elderly People 23 min
Ikea Furniture 8 min
ANOVA - Tyre Brands and Mileage 10 min
Movie Profits 8 min
Gender at the Work Place 8 min
Heptathlon 9 min
School Scores 11 min
Children’s Games 9 min
Valentine’s Day Spending 9 min
Women Live Longer? 9 min
Hearing Loss in Children 9 min
Grain Transportation Cartels 13 min
California Transit Payments 9 min
Seaweed Nutrients 11 min
Coffee Flavours 10 min
Legionnaire’s Disease in the USA 14 min
Antarctic Sea ice 11 min
William Farr’s Observations on Cholera in London 10 min
Satisfaction with AI Tools 8 min
New York Dog Bites 13 min
Elizabeth Bennett says No 10 min
Seattle Bicycle Zones 11 min
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Using LLMs to Explain Stat models
Demo:Product Packaging and Elderly People

License: CC BY-SA 2.0

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