Page Comparison

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• The Visual Display of Quantitative Information, Edward Tufte(2001)
• Semiology of Graphics, Jacques Bertin(1983)
• Visualization Analysis and Design, Tamara Munzner(2014)
• Design for Information, Isabel Meirelles, Rockport(2013)
• The Functional Art, Alberto Cairo, New Riders(2012)
• Interactive Data Visualization for the Web, Scott Murray(2017)

Websites

• Data to Viz
• Flowing Data by Nathan Yau
• Information Aesthetics by Andrew Vande Moere
• Information is Beautiful by David McCandless
• Visual Complexity by Manuel Lima
• Visualising Data by Andy Kirk
• Edward Tufte: Ask E.T. Forum by Edward Tufte
• Visual Business Intelligence by Stephen Few
• Tutorials & Resources by Alberto Cairo
• Points of Interest by Mapbox
• Design × Data by IDEO
• Visualizing, the Field by Various authors
• Datazar Blog
• Dataveyes Blog
• Accurat Blog
• Vizzuality Blog

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• Chroma.js– Javascript library for dealing with colors
• D3.js– Javascript library with modules for dealing with colors
• HCL Wizard– Tool for viewing, manipulating, and choosing HCL color palettes
• I Want Hue– Tool for generating and refining palettes of optimally distinct colors
• Colorbrewer– Tool for finding sequential, diverging, and qualitative color palettes
• Color Picker for Data– Tool for picking color palettes
• Accessible Color Matrix– Tool for building accessible color palettes
• Contrast Finder– Tool for finding good contrasts between two colors
• Chromaticity– Guidance for accessible visualization color design
• Color Oracle– Free color blindness simulator for Window, Mac and Linux

Data Literacy Resources

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(Fall semester 2019)

Image Added

Slides

• Theory Part I

General / good reads

• «The world’s most valuable resource is no longer oil, but data» / vs. «Data is not the new oil»

• Data Scientist: The Sexiest Job of the 21st Century

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• http://www.convertcsv.com for converting data from a myriad of formats into others, e.g. from CSV to JSON.
  
• https://json-csv.com/ Another pretty good JSON-to-CSV-converter.
• http://www.reformattext.com for formatting text files and extracting information out of them.
  
• https://jsonformatter.curiousconcept.com/ for validating and formatting JSON data.
• An introduction to APIs
• How to use APIs with Python – The normal way of working with APIs is via a programming language. Python lends itself to communicating with many APIs, so once you know a bit of Python, this interactive course might be good for you.

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• Data Analysis with R: Recent and good introduction, no prior knowledge needed
• rddj.info: Resources for doing data journalism with R
• Datacamp.com: Good, beginner-friendly and interactive courses on R (and Python).