If you’ve been following our activities for the past years, you know how much we like Twitter. Arguably the most active social network within the data visualization and journalistic communities, the popular micro-blogging platform continued to grow in 2013, a trend that is sure to continue this year.
During the time we’ve been using Twitter, we collected several insights from folks who work or are interested in data visualization, and we thought it would be fun to pull some of some of our favorites of 2013 in to a single post. We tried to focus on messages without links, and there’s no way we can do a post about Twitter and data visualization without recommending some of the most prolific users, such as Alberto Cairo (@albertocairo), Santiago Ortiz (@moebio) or Andy Kirk (@visualisingdata), just to mention a few.
So, hope you enjoy this selection – and get ready to Retweet a lot!
Your data vis should be better than a bar chart? Well, thenâ€¦ first, make a bar chart.
— Moritz Stefaner (@moritz_stefaner) November 1, 2013
It's the same in data viz as in engineering. It's too easy to think of cool technologies you can use instead of the result you really want.
— Jon Peltier (@Jon_Peltier) November 19, 2013
If there's something I dislike more than bad marketing infographics is bad marketing infographics on marketing infographics
— Chiqui Esteban (@chiquiesteban) November 27, 2013
problem of programming tutorials: they show you how to do it right instead of what to do when things fail (which happens 95% of the time).
— Dominikus Baur (@dominikus) July 31, 2013
Working w lots of folks. Learning: ppl are emotionally attached to data they've collected. They want to know you'll treat their data right.
— MLK Strength to Love (@datatelling) August 1, 2013
QOTD: "Data journalism is like sex among teenagers: They all say they're doing it, but in reality very few are."
— Marie Gilot (@louiegilot) August 5, 2013
Never underestimate how long it takes to clean up data that looks clean.
— Kim Rees (@krees) August 6, 2013
I'm a designer trying to quit infographics and do only interactive. I'm like a model trying to stop modeling and start an acting career
— Paul Van Slembr… (@ptvan) August 15, 2013
If your algorithms show up in your dreams, then you're a programmer. If your algorithms dream of you, then you are an expert :-).
— Cesar A. Hidalgo (@cesifoti) August 15, 2013
Information is not the problem. It's how you contextualize it: for whom, when, how, how much, and of course, why.
— Michael Babwahsingh (@mbabwahsingh) August 16, 2013
At any given moment in time, 9 PEOPLE are making up a statistic.
— made-up stats (@madeupstats) August 19, 2013
For graphics in exploratory data analysis, words should tell viewer how to read the design (if it's complex) and not what to read. #dataviz
— Stephen Yamada (@MoshiYama) August 21, 2013
So many visualizations suffer from being stuffed into 800px websites. Designers need good justification and UX to let their creations breath
— Bryan Connor (@thewhyaxis) August 23, 2013
Complex systems are like sweaters. You think a design change will just pull out a loose thread, but then the whole sleeve unravels.
— Kim Goodwin (@kimgoodwin) October 4, 2013
A bad visualization is worth a thousand swear words. Ross & Bennett #strataconf
— Naomi B Robbins (@nbrgraphs) November 12, 2013
Data is proof that a person left a mark. Remember the human behind the statistic. Therein lies the story.
— sarah slobin (@sarahslo) November 26, 2013
I wish more people talked about what they did with their data and less about how much they got.
— zv (@zaxtax) November 24, 2013
Statistics. Probably the most complex thing people expect you can teach them in 45 minutes.
— Mats Einarsen (@matseinarsen) October 10, 2013
Coding is complicated? Try to understand problems with Pantone colors and printing presses and I'll tell you what's complicated.
— Chiqui Esteban (@chiquiesteban) September 4, 2013
Have a great selection of Twitter favorites? Well, we’ll be happy to publish it, just let us know… on Twitter (@visualoop).