The Mad Hatter’s Guide to Data Viz and Stats in R
  1. Arvind V.
  • 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

Arvind V.

LinkedIn GitHub Email Slack Community for this Course

I’m an an external Faculty Member at the Srishti Manipal Institute of Art, Design, and Technology (SMI), in Bangalore, INDIA. I am passionate about working on R, Data Visualization, Complexity Science, and Creative Thinking and Problem Solving with TRIZ. On this website, I share my course materials and methods. I also blog about TRIZ and Data Science on occasion.

To get started, you can check out my courses on this website.

My teaching websites are:

  • The Mad Hatter’s Guide to Data Viz and Stats in R (This one!!)
  • Model Thinking in Design
  • TRIZ for Problem Solvers
  • Literary Jukebox: Design Thinking from Short Fiction
  • Maths for Creative Coders

My student portfolios are here:
https://we-r-us.netlify.app/portfolio/
https://form-and-structure.netlify.app/portfolio/

You can find me on Twitter, or GitHub, and on LinkedIn! Feel free to reach out to me via mail too!

Back to top

License: CC BY-SA 2.0

Website made with ❤️ and Quarto, by Arvind V.

Hosted by Netlify .