NeoPixel Rings running the Adafruit strandtext NeoPixel example code.
The Flickr Interestingness algorithm tracks the most interesting photos on Flickr by parameters such as “where the clickthroughs are coming from; who comments on it and when; who marks it as a favorite; its tags and many more things which are constantly changing.” Having a high “interestingness” factor is what gets a photo to the Explore page, which means more views and a higher chance of appearing in external search results.
I would like to look for and visualize the colour trends of these most interesting photos.
How much markup is there between what farmers are payed (¢/lb US) and what we pay? Are things getting better or worse for farmers? Is Fairtrade certification actually helping? The Fairtrade Foundation doesn’t actually monitor markup prices for retailers, so ideally I want to find out (approximately) what percent of our money actually reaches the farmers themselves, by comparing these retail averages to price per pound at grocery stores, Starbucks, Dunkin Donuts, etc, in the States.
The International Coffee Organization has data of retail prices by country, and prices to 54 different growing countries going back to 1990.
Fair Trade USA
Impact reports and financial information.
The visualization I redesigned posed the question “why are pot smokers skinny?” and never answered it. It didn’t even try to answer it, really. It just went on about the gender, ethnicity, marital status, etc of the people involved without much attention to why they are thin, or if they even are. According to waist circumference stats at the bottom, they aren’t even thinner than the other groups. Additionally, the age-group of 30-32 year olds were missing, and according to the numbers 1000 more people answered that category than answered the survey as a whole.
Data Visualization Aggregator
“The project’s main goal is to leverage a critical understanding of different visualization methods, across a series of disciplines, as diverse as biology, social networks or the World Wide Web.” A site with many neat data visualizations.
Sharks don’t kill people; people kill sharks. () Upworthy’s not usually my favourite, but I came across this on the Facebook page of a shark loving friend, and unsustainable fishing is bad. Also, this one on other fish we eat but shouldn’t. http://infobeautiful3.s3.amazonaws.com/2013/01/1276_Which_Fish_2013.png
Scott Murray. A self declared “code artist,” specializing in data visualization, generative art and designed experiences with the goal of getting people to slow and down and take a closer look at things.
The grafica library for Processing. Helps create 2D plots/graphs. Includes features that allow you to zoom/pan around your visualization (“make your data move!”), and add/display labels with ease.
Data Collection Tool
Wrangler, from Stanford U. Puts your un-charted data into tables for you, but you’ll probably learn more if you do do it yourself..
Or really anything else from this lovely list by ComputerWorld: http://www.computerworld.com/s/article/9215504/22_free_tools_for_data_visualization_and_analysis
Reddit’s r/visualization. Discussions on coding visualizations, mostly. Additionally r/dataisbeautiful has more examples and is generally prettier, but r/visualization is more helpful. r/learnprogramming could be handy as well.
An article that speaks against trusting data visualization at all, claiming it’s biased to the creator. The author claims that things like this http://www.washingtonpost.com/blogs/worldviews/wp/2013/05/15/a-fascinating-map-of-the-worlds-most-and-least-racially-tolerant-countries/ are widely accepted as objective fact, and how that’s a problem. Pretty much a less funny version of the house hippo argument (http://www.youtube.com/watch?v=NBfi8OEz0rA).
Center for Disease Control and Prevention. Has many surveys/data sets related to health and diseases. Not the clearest site and/or data sets, but there’s a bunch of stuff on here if the topics interest.
Or the US Govenrment data site. Search anything. I searched “POTUS” and got a list of White House visitor records. Select viewtype>datasets.
What Big Data Needs: A Code of Ethical Practices. The author writes about how everything can be/is tracked in our lives both on and offline. And this was two years before the whole Snowden thing.
Best American Infographics 2013. Technically infographics, clearly, but some of them fall into the data vis category. Can be found at The Strand for $17.95 (or Amazon $6 less plus all the fun carbon emissions, etc. from shipping it directly to your door). Some very pretty visualizations on a variety of topics.