The Mad Hatter’s Guide to Data Viz and Stats in R
  1. Data Viz and Stats
  2. Descriptive Analytics
  • 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
Categories
All (24)
Alluvial Plots (1)
Balloon Plots (1)
Bar Charts (2)
Bar Plots (1)
Box Plots (2)
Bubble Plots (2)
Bump Charts (2)
Cartograms (2)
Chord Diagrams (1)
Choropleth Maps (2)
Circular Bar Charts (1)
Column Charts (1)
Contingency Tables (1)
Correlations (1)
Data Variables (1)
Data Viz Guides (1)
Density Plots (1)
Donut Charts (1)
Dot Plots (1)
Dumbbell Charts (1)
Dumbbell Plots (1)
Errorbar Plot (1)
Experience (1)
Experiments (1)
Fan Charts (1)
Frequency Tables (1)
Geometry (1)
Graph Types (1)
Grouping (1)
Histograms (1)
Interactive (2)
Likert Scale data (1)
Line and Area Plots (1)
Line Graphs (1)
Lollipop Charts (1)
Mappable Aesthetics (1)
Maps (2)
Margins (1)
Mean (3)
Measurement (1)
Median (2)
Mosaic Charts (1)
Mosaic Plots (1)
Nature of Data (1)
No Code (1)
Observations (1)
Online Tools (1)
Parallel Set Plots (1)
Parliament Charts (1)
Pie Charts (2)
Proportions (2)
Qual Variables (6)
Quant Variables (6)
Quartiles (2)
Radar Charts (1)
Regression Lines (1)
Ridge Plots (1)
Sankey Diagrams (1)
Scatter Plots (1)
Scientific Inquiry (1)
Spatial Data (2)
Stacking (1)
Standard Deviation (2)
Static (2)
Time Series (1)
Violin Plots (2)
Waffle Charts (1)
Word Clouds (1)
  1. Data Viz and Stats
  2. Descriptive Analytics

Descriptive Analytics

Published

December 31, 2022

Title Reading Time
Data 11 min
Inspect Data 14 min
Graphs 17 min
Summaries 31 min
Counts 31 min
Quantities 39 min
Groups 31 min
Distributions 20 min
Groups and Distributions 17 min
Change 28 min
Proportions 33 min
Surveys 20 min
Time 27 min
Parts of a Whole 18 min
Evolution and Flow 22 min
Ratings and Rankings 23 min
Space 1 min
Networks 35 min
Miscellaneous Graphing Tools, and References 1 min
Introduction to Maps 7 min
What is Vector Data? 2 min
“The Grammar of Maps” 33 min
Playing with the Leaflet package 20 min
Playing With Mapview 14 min
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Introduction to R and RStudio
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