Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
  1. Teaching
  2. Data Analytics for Managers and Creators
  3. Descriptive Analytics
  4. Miscellaneous Graphing Tools, and References
  • Teaching
    • Data Analytics for Managers and Creators
      • Tools
        • Introduction to R and RStudio
        • Introduction to Radiant
        • Introduction to Orange
      • Descriptive Analytics
        • Data
        • Summaries
        • Counts
        • Quantities
        • Groups
        • Densities
        • Groups and Densities
        • Change
        • Proportions
        • Parts of a Whole
        • Evolution and Flow
        • Ratings and Rankings
        • Surveys
        • Time
        • Space
        • Networks
        • Experiments
        • Miscellaneous Graphing Tools, and References
      • Statistical 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
      • Inferential Modelling
        • Modelling with Linear Regression
        • Modelling with Logistic Regression
        • 🕔 Modelling and Predicting Time Series
      • Predictive Modelling
        • 🐉 Intro to Orange
        • ML - Regression
        • ML - Classification
        • ML - Clustering
      • Prescriptive Modelling
        • 📐 Intro to Linear Programming
        • 💭 The Simplex Method - Intuitively
        • 📅 The Simplex Method - In Excel
      • Workflow
        • Facing the Abyss
        • I Publish, therefore I Am
      • 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
    • R for Artists and Managers
      • 🕶 Lab-1: Science, Human Experience, Experiments, and Data
      • Lab-2: Down the R-abbit Hole…
      • Lab-3: Drink Me!
      • Lab-4: I say what I mean and I mean what I say
      • Lab-5: Twas brillig, and the slithy toves…
      • Lab-6: These Roses have been Painted !!
      • Lab-7: The Lobster Quadrille
      • Lab-8: Did you ever see such a thing as a drawing of a muchness?
      • Lab-9: If you please sir…which way to the Secret Garden?
      • Lab-10: An Invitation from the Queen…to play Croquet
      • Lab-11: The Queen of Hearts, She Made some Tarts
      • Lab-12: Time is a Him!!
      • Iteration: Learning to purrr
      • Lab-13: Old Tortoise Taught Us
      • Lab-14: You’re are Nothing but a Pack of Cards!!
    • ML for Artists and Managers
      • 🐉 Intro to Orange
      • ML - Regression
      • ML - Classification
      • ML - Clustering
      • 🕔 Modelling Time Series
    • TRIZ for Problem Solvers
      • I am Water
      • I am What I yam
      • Birds of Different Feathers
      • I Connect therefore I am
      • I Think, Therefore I am
      • The Art of Parallel Thinking
      • A Year of Metaphoric Thinking
      • TRIZ - Problems and Contradictions
      • TRIZ - The Unreasonable Effectiveness of Available Resources
      • TRIZ - The Ideal Final Result
      • TRIZ - A Contradictory Language
      • TRIZ - The Contradiction Matrix Workflow
      • TRIZ - The Laws of Evolution
      • TRIZ - Substance Field Analysis, and ARIZ
    • Math Models for Creative Coders
      • Maths Basics
        • Vectors
        • Matrix Algebra Whirlwind Tour
        • content/courses/MathModelsDesign/Modules/05-Maths/70-MultiDimensionGeometry/index.qmd
      • Tech
        • Tools and Installation
        • Adding Libraries to p5.js
        • Using Constructor Objects in p5.js
      • Geometry
        • Circles
        • Complex Numbers
        • Fractals
        • Affine Transformation Fractals
        • L-Systems
        • Kolams and Lusona
      • Media
        • Fourier Series
        • Additive Sound Synthesis
        • Making Noise Predictably
        • The Karplus-Strong Guitar Algorithm
      • AI
        • Working with Neural Nets
        • The Perceptron
        • The Multilayer Perceptron
        • MLPs and Backpropagation
        • Gradient Descent
      • Projects
        • Projects
    • Data Science with No Code
      • Data
      • Orange
      • Summaries
      • Counts
      • Quantity
      • 🕶 Happy Data are all Alike
      • Groups
      • Change
      • Rhythm
      • Proportions
      • Flow
      • Structure
      • Ranking
      • Space
      • Time
      • Networks
      • Surveys
      • Experiments
    • Tech for Creative Education
      • 🧭 Using Idyll
      • 🧭 Using Apparatus
      • 🧭 Using g9.js
    • Literary Jukebox: In Short, the World
      • Italy - Dino Buzzati
      • France - Guy de Maupassant
      • Japan - Hisaye Yamamoto
      • Peru - Ventura Garcia Calderon
      • Russia - Maxim Gorky
      • Egypt - Alifa Rifaat
      • Brazil - Clarice Lispector
      • England - V S Pritchett
      • Russia - Ivan Bunin
      • Czechia - Milan Kundera
      • Sweden - Lars Gustaffsson
      • Canada - John Cheever
      • Ireland - William Trevor
      • USA - Raymond Carver
      • Italy - Primo Levi
      • India - Ruth Prawer Jhabvala
      • USA - Carson McCullers
      • Zimbabwe - Petina Gappah
      • India - Bharati Mukherjee
      • USA - Lucia Berlin
      • USA - Grace Paley
      • England - Angela Carter
      • USA - Kurt Vonnegut
      • Spain-Merce Rodoreda
      • Israel - Ruth Calderon
      • Israel - Etgar Keret
  • Posts
  • Blogs and Talks

On this page

  • What other free tools are there on the web?
    • RAWGraphs.io
    • DataWrapper
    • Palladio
    • Infogram
    • Visme
    • Flourish + Figma
  • References
  • Papers
  1. Teaching
  2. Data Analytics for Managers and Creators
  3. Descriptive Analytics
  4. Miscellaneous Graphing Tools, and References

Miscellaneous Graphing Tools, and References

Online Tools
No Code
Data Viz Guides
Published

November 11, 2022

Modified

Invalid Date

Abstract
Miscellaneous Graphs and Tools

What other free tools are there on the web?

RAWGraphs.io

https://rawgraphs.io

DataWrapper

https://datawrapper.de

Palladio

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

Infogram

https://infogram.com/

Visme

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

Flourish + Figma

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

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

Papers

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

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