The Mad Hatter’s Guide to Data Viz and Stats in R
  1. Data Viz and Stats
  2. Visualization
  3. Miscellaneous Graphing Tools, and References
  • Data Viz and Stats
    • Tools
      • Introduction to R and RStudio
    • Studio Flow and Data Kits
      • 12-Day Studio Index
      • Healthcare Data Kits
    • Visualization
      • Data
      • Inspect Data
      • Graphs
      • Summaries
      • Counts
      • Quantities
      • Groups
      • Distributions
      • Groups and Distributions
      • Change
      • Proportions
      • Hierarchy
      • Evolution and Flow
      • Ratings and Rankings
      • Surveys
      • Time
      • Space
        • Introduction to Maps
        • What is Vector Data?
        • The Grammar of Maps
        • Interactive Maps with leaflet
      • Networks
      • Miscellaneous Graphing Tools, and References
    • Inference
      • Basics
      • 🎲 Samples
      • Randomization
      • One Mean
      • Two Independent Means
      • Two Paired Means
      • Multiple Means (ANOVA)
      • Correlation
      • One Proportion
      • Two Proportions
    • Modelling
      • Linear Regression
      • Logistic Regression
      • 🕔 Time Series
    • Workflow
      • Facing the Abyss
      • I Publish, therefore I Am
      • Data Carpentry
    • Arts
      • Colours
      • Fonts for Charts
      • Branding and Typography
      • Annotations
      • More Annotations
      • Highlighting
      • Scales
    • 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
      • No Free Hunch

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. Visualization
  3. Miscellaneous Graphing Tools, and References

Miscellaneous Graphing Tools, and References

Online Tools
No Code
Data Viz Guides
Published

November 11, 2022

Modified

October 19, 2026

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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