Junk Charts
This post is part 2 of an appreciation of the chart project by Google Newslab, advised by Alberto Cairo, on the gender and racial diversity of the newsroom. Part 1 can be read here. In the previous discussion, I left out the following scatter bubble plot.
How We Use Data to Inspire Design – Design x Data – Medium
By Arianna McClain & Rohini Vibha When most people imagine good design, numbers probably don’t come to mind. In fact, anything quantitative might feel completely at odds with the concept of beautiful design. But at IDEO, in addition to connecting with people and learning their stories, designers use quantitative data as a tool to gain empathy and inspiration. We learn from numbers the same way we learn from people, because we see numbers as a representation of people.
Data Underload
Most Common Occupation by Age As we get older, job options shift — along with experience, education, and wear on our bodies. Waiting For a Table A simulation to estimate how long until you are seated at a restaurant. How Different Income Groups Spend Money After living expenses, where does the money go, and how does it change when you have more cash available?
W. E. B. Du Bois’ Hand-Drawn Infographics of African-American Life (1900)
William Edward Burghardt “W. E. B.”
Best of the visualization web
At the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking web content I've come across during the previous month. Here's the latest collection from January 2018. Visualisations & Infographics Includes static and interactive visualisation examples, infographics and galleries/collections of relevant imagery. SRF | 'Roger Federer: 20 Years, 20 Titles' Mapping Police Violence | '2017 Police Violence Report... collected data on over 1,100 killings by police in 2017.'
Data Visualization and the Blind
Recently, I received an email from a fellow name Mark Ostroff who has written a guide to designing “accessible” content using the Oracle Business Intelligence Suite (OBIEE). In particular, the guide addresses issues regarding impaired vision, such as colorblindness and total blindness. Despite the fact that Mark began by saying that he and I “could be ‘twins separated at birth’ in our orientation about business intelligence,” by the second email in our conversation it became clear that he had a bone to pick. He accused me of shirking my responsibility by not teaching people to design information displays in ways that are accessible to the blind—dashboards in particular.
Data Viz for the Visually Impaired - Part 1: Partially Sighted - E-Tabs
Data Visualisation is all about visualising data. Whether it is a chart in a report, an infographic or a dashboard– the key point is that it is visual! Visual: ˈvɪʒjʊəl,-adjective – Relating to seeing or sight. So can we deliver a visual representation of data to a person without perfect vision?
Data Viz for the Visually Impaired - Part 2: Colour Blindness - E-Tabs
Following from our previous blog post on how to design visualisation for the visually impaired, we now turn our attention to how best to accommodate colour blind viewers. As many as eight percent of men and 0.5 percent of women with Northern European ancestry have the common form of red-green colour blindness. Men are much more likely to be colour blind than women because the genes responsible for the most common, inherited colour blindness are on the X chromosome. Males only have one X chromosome, while females have two X chromosomes. In females, a functional gene on only one of the X chromosomes is enough to compensate for the loss on the other.
The Work of Edward Tufte and Graphics Press
Graphics Press LLC P.O. Box 430 Cheshire, CT 06410 800 822-2454 Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Bloomberg as the "Galileo of graphics."
SAS enables visually impaired to 'visualize' data
Source: SAS Cary, NC (Feb 22, 2017) People with visual impairments are often shut out from hot careers in STEM fields, including analytics and data science. Why? Because the technology is not accessible.
The Joy of Stats
About the video Hans Rosling says there’s nothing boring about stats, and then goes on to prove it. A one-hour long documentary produced by Wingspan Productions and broadcast by BBC, 2010. A DVD is available to order from Wingspan Productions.
Tools - Proportional Ink
In this article we explore a basic rule for the design of data graphics, the principle of proportional ink. The rule is very simple: when a shaded region is used to represent a numerical value, the area of that shaded region should be directly proportional to the corresponding value. In other words, the amount of ink used to indicate a value should be proportional to the value itself. This rule derives from a more general principle that Edward Tufte set out in his classic book The Visual Display of Quantitative Information. There, he argues that "The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the numerical quantities represented." (1983, p.56)
Tools - Misleading axes on graphs
The purpose of a publication-stage data visualization is to tell a story. Subtle choices on the part of the author about how to represent a dataset graphically can have a substantial influence on the story that a visualization tells. Good visualization can bring out important aspects of data, but visualization can also be used to conceal or mislead.
City Of Melbourne : Pedestrian Counting System
Wednesday 22 March 2017 Trend over last 3 hours Note: If a sensor returns a series of zero readings it may be temporally inoperable 8am Wednesday 22 March 2017 Yellow Above average by 10% or moreGrey Average Green Below Average by 10% or more
