This has been making the rounds. Based on 150,000 geocoded tweets from June 2012 to April 2013, filtered 1st by use of word, and then manually whether it was used in a negative or derogatory fashion.
Obviously this suffers from selection bias as it only includes people who bother to tweet, and those who aren’t ashamed to do it publicly. There’s also the usual population density distortion (last map below), which would be compounded by cell phone coverage out west. So, basically, this is another pretty visualization of social media meta data that doesn’t really mean much of anything. To be honest I’m surprised they only found 150,000 hateful tweets in 11 months. (The author’s FAQ is an interest read)
I am always googling these, so it’s nice to have them all in one place. Of course, they will probably change in a week. Here’s an older one that includes sizes for additional services (google+, twitter, youtube, etc). Anyone know of a permanent repository?
Games by genre, and games by platform. Labeling the axis might have been useful – I assume it’s supposed to be percent of total, with the space at top “other”? I tried to find the original source for this, but had no luck.
A cool real time synced visualization of guitar riffs and their matching tabs notations. Apparently the Soundslice site let’s you annotate any youtube video in such a way. I love internet functionality mashups like this.
I receive dozens of infographics a day. Most of them (besides being terrible) are obviously designed to promote a particular company or non-profit. However, there are also a lot concerning topics that have nothing to do with their original site– and I figured they were just link-bait for SEO chasers. Well, Dan Tynan did a little more digging in an article over at ITWorld, and it’s quite interesting.
Dynamic bubble chart showing compensation ranges for startups across different job types. I’m kinda afraid to ask what a “Sales Engineer” is.
Ok, maybe I’m just in a bad mood because I’m back at work after a nice long vacation – but I think this visualization sucks. All it does is ordinally identify the top five linked countries for each country. There is no scale. What does the bubble size indicate? No matter what country you click on, the top five all grow to about the same size. Is the 4th relationship really almost as strong as the 2nd? Who knows? The methodology states “Rankings between countries are based on the number of Facebook friendships between countries and the total number of Facebook friendships within each country.” Ummm… how, exactly? Is it a ratio? Is the total number used as a weight? Thankfully they color coded it based on the continents – because everyone has trouble identifying those, right? Oh, and Seychelles will be happy to know it’s now in Asia. Totally useless.
Online retailers adjust their prices throughout the day. (related WSJ article – requires subscription) Personally, I’ve always wondered whether retailers give different prices to customers who are signed in or not.
Here’s another example and a good free article/video:
A beautifully executed timeline of the history of the web. But really, why does anyone care when different kinds of html were included in each browser? Does anyone actually find this kind of internet navel gazing to be interesting?
I tend to avoid internet meta infographics, as it is a tad navel gazing for me, and I’m dubious of the metric used here (facebook likes as tracked by the “Trendsetter” platform. But heck, it’s Friday afternoon. Have at it.
I usually ignore internet-meta graphics – I just don’t find navel gazing particularly interesting. In addition I would question the reliability of self-reported gender for most of these sites.
Yep. This pretty much describes my career. Progress is the result of a lazy man finding an easier way of doing things.
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