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
        • Introduction to Maps
        • What is Vector Data?
        • The Grammar of Maps
        • Interactive Maps with leaflet
        • Interactive Maps With Mapview
      • 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
    • 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.

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I’m external Faculty at the Srishti Manipal Institute of Art and Design, and Engineering Manager at MMRFIC, both in Bangalore, INDIA, and a Certified Level #1 TRIZ Professional. 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
  • Understanding Design of Experiments (WIP!!)

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!

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License: CC BY-SA 2.0

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