Resources
Introduction
"A person can have the greatest insight in the world. But if that person can’t share the value of that insight with other people, it doesn’t matter." - Gregory Berns (paraphrased)
Covid-19 Dashboard: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Gun Killings: http://guns.periscopic.com/?year=2010
William Du Bois: https://www.smithsonianmag.com/history/first-time-together-and-color-book-displays-web-du-bois-visionary-infographics-180970826/
Charles Minard: http://www.tableausoftware.com/public/gallery/minard-visualization-1812
John Snow: http://public.tableau.com/en-us/s/gallery/mapping-1854-cholera-outbreak
Florence Nightingale: http://boraberan.wordpress.com/2014/03/30/creating-coxcomb-charts-in-tableau/
Hans Rosling: http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen
Ben Shneiderman: http://www.cs.ubc.ca/~tmm/courses/cpsc533c-05-fall/readings/shneiderman96eyes.pdf
Nancy Duarte: https://www.ted.com/talks/nancy_duarte_the_secret_structure_of_great_talks/transcript?language=en
Seth Priebatsch (Gamifaction): http://www.ted.com/talks/lang/en/seth_priebatsch_the_game_layer_on_top_of_the_world.html
Albero Cairo: http://www.thefunctionalart.com
Nicholas Feltron (Advanced 3D): https://medium.com/@feltron/adventures-in-3d-c3ddb0c60054
Women in DataViz: http://stephanieevergreen.com/females-in-dataviz/
More DataViz Experts: https://mode.com/blog/data-visualization-experts
911 Memorial: http://names.911memorial.org/
Kight Foundation: https://journalismcourses.org/
Engagement / Storytelling
"If you wish to influence an individual or a group to embrace a particular value in their daily lives, tell them a compelling story." - Annette Simmons
100 Meter Race: http://www.nytimes.com/interactive/2012/08/05/sports/olympics/the-100-meter-dash-one-race-every-medalist-ever.html
Personas: https://www.interaction-design.org/literature/article/personas-why-and-how-you-should-use-them
Pixar Story Rules: http://www.pixartouchbook.com/blog/2011/5/15/pixar-story-rules-one-version.html
Find yourself in the Data:
Number of Hot Days: https://www.nytimes.com/interactive/2018/08/30/climate/how-much-hotter-is-your-hometown.html
Age of Death: https://flowingdata.com/2015/09/23/years-you-have-left-to-live-probably/
Type of Death: https://flowingdata.com/2016/01/19/how-you-will-die/
eBay Donations (video): https://vimeo.com/114266806
Gamification: https://techcrunch.com/2010/08/25/scvngr-game-mechanics/
Climate Change: https://densitydesign.github.io/teaching-dd12/es01/group01/
Storytelling Example videos: https://vimeo.com/pviscontest
Headline Formulas: http://sumo.com/stories/headline-formulas
New York Times - Brand Studio: https://www.tbrandstudio.com/
Automated Narrative: https://narrativescience.com/quill/power-bi/interactive-demo/
Microsoft Storyteller: https://timelinestoryteller.com/
Simple Scrolling Story: https://trailsofwind.figures.cc/
Find You in the Data: http://ifyouruledtheworld.figures.cc/
Fun Projects: https://tulpinteractive.com/
Scrolling Navigation Example: http://brussels-diversity.jetpack.ai/
Examples of Narrative based DataViz: https://graphics.reuters.com/
Readability Test: https://app.readable.com/text/
Information
"Data is a precious thing and will inevitably last longer than the systems themselves." - Tim Berners-Lee
Chart Selector: http://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf
Sample DataSets: https://www.data-is-plural.com/
FT Visual Vocabulary: https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary
Visualisation Catalogue: http://www.datavizcatalogue.com/
GitHub Activity Visual: https://docs.github.com/en/github/setting-up-and-managing-your-github-profile/viewing-contributions-on-your-profile
Alternatives to PieCharts: https://www.tableau.com/about/blog/5-unusual-alternatives-pie-charts
Circular Visualisations: https://www.americanscientist.org/article/circular-visualizations
Visual Models: http://datavizproject.com/
The Graphic Continuum: https://policyviz.com/product/graphic-continuum-poster/
GDP Visual: https://viz.ged-project.de/
Google Refine: http://openrefine.org/
Data Wrangler: http://vis.stanford.edu/wrangler/
Visualising Neural Networks: http://playground.tensorflow.org/
Google Lucid Colab Notebooks: https://github.com/tensorflow/lucid
Deep Visualization Toolbox (Jason Yosinshi): http://yosinski.com/deepvis#toolbox
Feature Visualisation Article: https://distill.pub/2017/feature-visualization/
Goggle/Tensorflow T-SNE Projector: http://projector.tensorflow.org/
Google/Tensorflow FACETS Explorer (Know your data): https://pair-code.github.io/facets/
Graphical Perception: http://web.cs.dal.ca/~sbrooks/csci4166-6406/seminars/readings/Cleveland_GraphicalPerception_Science85.pdf
USA Facts: http://www.usafacts.org/
Tableau Jitter: http://community.tableau.com/docs/DOC-5228
Visualising Uncertainty (Hurrican example): https://www.mccormick.northwestern.edu/computer-science/news-events/news/articles/2019/how-data-visualizations-can-clarify-and-confound-uncertainty.html
MU Collective Lab: https://mucollective.northwestern.edu/
Visual Financial Income Statement: https://public.tableau.com/views/IncomeStatement_4/IncomeStatement?:embed=y&:display_count=yes&publish=yes&:showVizHome=no
Accounts Receivable Visualisation: https://public.tableau.com/profile/mike.crook.gocougs#!/vizhome/Finance-AccountsPayableReceiptsDemo/APReceivables
Finance Visualisation Examples: https://www.slideshare.net/UPABoston/data-visualizations-that-expand-your-visual-literacy
Medical Network Graph: https://snucm.elsevierpure.com/en/persons/y-chung-8/network/
Global Data Examples: https://ourworldindata.org/
Earth Wind Project: https://earth.nullschool.net/#current/wind/surface/level/orthographic=-226.41,-19.17,339
Covid-19 Data: https://ourworldindata.org/coronavirus-data-explorer
Covid-19 Data: https://www.worldometers.info/coronavirus/
Covid-19 Data: https://data.cdc.gov/browse?tags=covid-19
Collection of example Charts across Tools: https://chartmaker.visualisingdata.com/
Protein Visualisation: https://aquaria.ws/P05067/4yn0/B
FiveThirtyEight: https://projects.fivethirtyeight.com/
The Guardian: https://www.theguardian.com/interactive
Design
"By visualizing information, we turn it into a landscape that you can explore with your eyes." - David McCandless
Rhythm of Food: http://rhythm-of-food.net/
Style Guides (examples): https://policyviz.com/2016/11/30/style-guides/
Color Brewer2: http://colorbrewer2.org/
Adobe Color: https://color.adobe.com/explore
Color Inspirations site: https://colorsinspo.com/
Film Color Palettes: http://film-palettes.tumblr.com/
Color of Cultures: https://informationisbeautiful.net/visualizations/colours-in-cultures/
Google Material Design: https://material.io/design/communication/data-visualization.html#selecting-charts
Understanding Comics (Scott McCloud): http://scottmccloud.com/
Headline Formulas: http://sumo.com/stories/headline-formulas
Memorable: http://cvcl.mit.edu/papers/Borkin_etal_MemorableVisualization_TVCG2013.pdf
Tableau Pokemon: http://public.tableau.com/profile/mahesh.ramkumar#!/vizhome/Pokemon_66/Pokemonboard
IBM Icon Library: http://www.ibm.com/design/language/resources/icon-library/
Pre-attentive: http://www.csc.ncsu.edu/faculty/healey/download/tochi.96.pdf
Material Design: http://material.io/guidelines/material-design/introduction.html
Make-over Monday: http://www.makeovermonday.co.uk/community/
Flight Patterns: http://www.aaronkoblin.com/project/flight-patterns/
100 Dots visual: http://www.abc.net.au/news/2017-06-27/census-australia-as-100-people/8634318?sf92773377=1
Morph (Make Art with Data): https://morph.graphics/
Gestalt Principles: https://vizzendata.com/2020/07/06/utilizing-gestalt-principles-to-improve-your-data-visualization-design/
Font Matching Tool: https://www.myfonts.com/WhatTheFont/
Free Artwork (Unsplash): https://unsplash.com/s/photos/data-wallpaper
PowerPoint Templates: https://youexec.com/free-powerpoint-templates
PowerPoint Templates: https://www.duarte.com/slidedocs/
Baby Name Selector: https://www.babynamewizard.com/namevoyager-expert#prefix=&sw=both&exact=false
Ethics and Governance
"There are two goals when presenting data: convey your story and establish credibility" - Edward Tufte
Spotting Visual Lies: https://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/
Dangerous Visualisations: https://www.theguardian.com/world/2018/jan/28/fitness-tracking-app-gives-away-location-of-secret-us-army-bases
Overcoming Bias: http://alshams.github.io/responsibledata/bias-in-data-viz/
Clarify, don't Simplify: http://hbr.org/2016/06/visualizations-that-really-work
Recognising Patterns: http://www.skillsyouneed.com/num/statistics-identifying-patterns.html
Beware Non-Zero Axis: http://stephanieevergreen.com/y-axis/
Tricks with Charts: http://www.businessinsider.com.au/fox-news-charts-tricks-data-2012-11
The Pie Chart debate: http://visage.co/data-visualization-101-pie-charts/
Visual Data Governance: http://alexsolutions.com.au/
Data Value vs. Data Risk: https://hbr.org/2017/05/whats-your-data-strategy
Tips and Tricks: http://www.perceptualedge.com/articles/Whitepapers/Common_Pitfalls.pdf
Design IQ Test: http://www.perceptualedge.com/files/GraphDesignIQ.html
Truthiness: http://viz.wtf/archive
The Bikini Chart: http://eagereyes.org/blog/2012/bikini-chart
Soul Machines: https://www.soulmachines.com/
Tools and Trends (Future)
"We shape our tools and afterwards our tools shape us." - Marshall McLuhan
Catalog of Open Source DataViz Tools: https://dataviz.cafe/
Collection of example Charts across Tools: https://chartmaker.visualisingdata.com/
Google Charts: http://developers.google.com/chart/interactive/docs/gallery/sankey
Google Data Studio: https://datastudio.google.com/gallery?category=visualization
I feel ducky: https://duckduckgo.com/ (eg. https://duckduckgo.com/?q=!ducky+IMDB+Avatar)
Squirrel365 (alternative to Xcelsius): https://squirrel365.io/
3D Maps: https://www.mapbox.com/mapbox-studio/
Create Infographics (Canva): https://www.canva.com/create/infographics/
Photo Editor and Design Maker: https://www.fotor.com/
Wolframalpha: http://www.wolframalpha.com/
Yellowfin: http://www.yellowfinbi.com/
Circular Path Charts: http://circos.ca/
Qlikview: http://www.qlikview.com/au
Spotfire: http://spotfire.tibco.com/trial
D3.js: http://d3js.org/
Processing: http://processing.org/
Raw: http://raw.densitydesign.org/
Java InfoVis: http://philogb.github.com/jit/demos.html
R GGPlot: http://ggplot2.org/
Visual.ly: http://visual.ly/
Visage: https://visage.co/
Wordle: http://www.wordclouds.com/
Infogr.am: http://infogr.am/
Remove Background: https://www.remove.bg/upload
PowerBI Version Archive: https://docs.microsoft.com/en-us/power-bi/fundamentals/desktop-latest-update-archive
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D3 SandPit/Lab: http://cssdeck.com/labs
D3 Sample: http://bl.ocks.org/d3noob/13a36f70a4f060b97e41
Fun Tableau Examples: https://public.tableau.com/en-us/gallery/workout-goal-tracker
"It is better to have enough ideas for some of them to be wrong, than to be always right by having no ideas at all" - Edward de Bono
Google Colab (Data Visualisation Notebooks): https://colab.research.google.com/drive/1_yo5kJqoG1amRnI4rh4IjNeC1peJyGVs
Observable (Collaborative DataViz): https://observablehq.com/@russellgoldenberg/the-real-mvp-in-the-nba
3D Riding the Nasdaq: http://graphics.wsj.com/3d-nasdaq/
Augmented Reality (Sandbox): http://www.youtube.com/watch?v=j9JXtTj0mzE
Augmented Reality (Pool table): http://youtu.be/zXHXusO8eGw
Embedded DataViz: http://www.trendhunter.com/trends/esben-oxholms-iwatch-concept
Mobile DataViz: http://jasonvanlint.com/pocketkpi/
Data Journalism: http://datajournalismhandbook.org/1.0/en/
John Underkoffler (Minority Report): http://goo.gl/SrxyXg
Video DataViz: http://422south.com/work
Feltron Home: http://feltron.com/
Virtual Reality (Oculus: DataViz): https://www.datavizvr.com/
Brett Victor: http://vimeo.com/66085662
PowerBI Resources
PowerBI DAX Guide: https://dax.guide/
PowerBI Power Query/M-Language Blog (Guru): https://blog.crossjoin.co.uk/
PowerBI Addin Guide/Map: https://bi-survey.com/powerbimap/apps/
Python DataViz Gallery: https://python-graph-gallery.com/
D3.js: http://d3js.org/
Sample Datasets: https://www.data-is-plural.com/
PowerBI Guidance (helpful ref): https://docs.microsoft.com/en-us/power-bi/guidance/
Research Papers
Pixel Approximate Entropy: https://github.com/cudbg/pae
What Do We Talk About When We Talk About Dashboards (https://alper.datav.is/publications/dashboards/ ):
https://alper.datav.is/assets/publications/dashboards/dashboards-preprint.pdf
Visual Analytics in Deep Learning: https://arxiv.org/pdf/1801.06889.pdf
Understanding Complex Deep Generative Models: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8440049
What Makes a Visualization Memorable: https://vcg.seas.harvard.edu/publications/what-makes-a-visualization-memorable/paper
GAN Lab (https://poloclub.github.io/ganlab/ ): https://arxiv.org/pdf/1809.01587.pdf
Recommended Reading (Book List)
Here are some of my favorite references:
Giorgia Lupi. Dear Data. Flexibound – Illustrated, 6 September 2016 by Giorgia Lupi ISBN-13 : 978-1616895327.
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Stephen Few. Now You See It: Simple Visualization Techniques for Quantitative Analysis. Hardcover – 1 April 2009 by Stephen Few. ISBN-13: 978-0970601988
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Alberto Cairo. The Truthful Art: Data, Charts, and Maps for Communication Paperback – Illustrated, 4 May 2016 by Alberto Cairo. ISBN-13: 978-0321934079
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Duarte, N., Data Story: Explain Data and Inspire Action Through Story, Paperback – 3 October 2019, by Nancy Duarte (Author), ISBN-13: 978-1940858982
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Shawn Callahan. Putting Stories to Work Paperback – 18 March 2016 by Shawn Callahan ISBN-13: 978-0992338565
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Knaflic, C.N., Storytelling with Data: A Data Visualization Guide for Business Professionals Paperback – 23 October 2015, by Cole Nussbaumer Knaflic, ISBN-13: 978-1119002253
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Rodriguez, J & Kaczmarek, P,. Visualizing Financial Data - Wiley; 2 May 2016, by Julie Rodriguez (Author), Piotr Kaczmarek (Author), ISBN-13: 978-1118907856
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Dolan, G., Stories for Work: The Essential Guide to Business Storytelling Paperback – 17 February 2017, by Gabrielle Dolan (Author), ISBN-13: 978-0730343295
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McCloud, S., Understanding Comics: The Invisible Art Paperback – 27 April 1994, by Scott McCloud (Author), ISBN-13: 978-0060976255
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Kriebel, A & Murray, W., MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time - 21 September 2018 by Andy Kriebel (Author), Eva Murray (Author), ISBN-13: 978-1119510772