The Mad Hatter’s Guide to Data Viz and Stats in R
  1. Data Viz and Stats
  2. Descriptive Analytics
  3. Miscellaneous Graphing Tools, and References
  • 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

On this page

  • 1 What other free tools are there on the web?
    • 1.1 RAWGraphs.io
    • 1.2 DataWrapper
    • 1.3 Palladio
    • 1.4 Infogram
    • 1.5 Visme
    • 1.6 Flourish + Figma
  • 2 References
  • 3 Papers
  1. Data Viz and Stats
  2. Descriptive Analytics
  3. Miscellaneous Graphing Tools, and References

Miscellaneous Graphing Tools, and References

Online Tools
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Data Viz Guides
Published

November 11, 2022

Modified

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Abstract
Miscellaneous Graphs and Tools

1 What other free tools are there on the web?

1.1 RAWGraphs.io

https://rawgraphs.io

1.2 DataWrapper

https://datawrapper.de

1.3 Palladio

https://hdlab.stanford.edu/palladio/

1.4 Infogram

https://infogram.com/

1.5 Visme

https://www.visme.co/chart-maker/

1.6 Flourish + Figma

https://flourish.studio/ https://www.figma.com/

2 References

  1. Getting started with Flourish & Figma to create beautiful custom charts, https://inside.mediahack.co.za/getting-started-with-flourish-figma-to-create-beautiful-custom-charts-34e4efb8fd3d

  2. Flowing Data Chart Types https://flowingdata.com/chart-types/

  3. Geeks for Geeks: Chart Types https://www.geeksforgeeks.org/r-charts-and-graphs/

  4. Financial Times Visual Vocabulary (Interactive) https://ft-interactive.github.io/visual-vocabulary/

  5. Financial Times Visual Vocabulary (PDF) https://github.com/Financial-Times/chart-doctor/blob/main/visual-vocabulary/FT4schools_RGS.pdf

  6. Financial Times Data Journalism Visuals https://www.ft.com/visual-and-data-journalism

  7. Severino Ribecca and John Schwabish , The Graphic Continuum https://www.severinoribecca.one/portfolio-item/the-graphic-continuum/

  8. Web based tools for Dataviz https://policyviz.com/resources/data-viz-tools/

  9. Nightingale Data Visualization Society Blog: How to visualize categorical data: https://nightingaledvs.com/endless-river-an-overview-of-dataviz-for-categorical-data/

  10. John Schwabish’s policyviz Data Viz catalogue: https://datastudio.google.com/s/quUUlgosF4U

3 Papers

1.Christopher G. Healey Department of Computer Science, North Carolina State University. Perception in Visualization

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