Wakoopa’s “The State of Apps - Q2 2009”

If you aren’t using Wakoopa, you really should. Friend me there.

I just started up my tracker again, so I’ll have new stuff showing up.

Data extraction can be pretty. This is a representation of word-data for 10 pages of an OCR’d book. Overlaid with some opacity on one another.

nikography:

i’ve only worked with fairly small data sets thus far (nothing requiring regular expressions or multiple machines) but it’s pretty dead on.

i’d like to note that the second one in particular, data “munging”, is no joke. when i did the sex charts, the craziest parts were filtering the data over and over again. since it’s hard to comprise a consistent table from various unrelated people about their entire sexual history, it took a lot of elbow grease. that means by hand and with pen/paper.

it went something like this:

• receive filled out survey with a tabular list of experiences + associated data.
• sort them chronologically
• sort them by year > month
• sort them by overlaps, for each individual month (for mult. people)

(link courtesy of atmos)

Uhhh munging is 50/50 for me. I’ve been working on a tool recently that allows you to “scrape” Google & Amazon for metainfo on books, getting clean data is the hardest part - is there are so many potential formats for everything. Finding the right hook tags in the page to get the end result is even more annoying. Sometimes there are no unique tags or strings and you have to base if off length, which being variable - is a pain.

zehnuhr:

Explore relations between music artists with Tuneglue in a way you didn’t experienced before. Great concept and visualization made by Onyro.

Based on data provived by Last.fm and Amazon you can simple type in your favorite artist, expand and edit the musical relationships and get more information about releases etc.

I’ve seen this a loooong time ago, and recently I was looking for it, but I couldn’t find it. Thanks Sebastian, that was really bugging me.

Social Collider

The Social Collider reveals cross-connections between conversations on Twitter.

With the Internet’s promise of instant and absolute connectedness, two things appear to be curiously underrepresented: both temporal and lateral perspective of our data-trails. Yet, the amount of data we are constantly producing provides a whole world of contexts, many of which can reveal astonishing relationships if only looked at through time.

This experiment explores these possibilities by starting with messages on the microblogging-platform Twitter. One can search for usernames or topics, which are tracked through time and visualized much like the way a particle collider draws pictures of subatomic matter. Posts that didn’t resonate with anyone just connect to the next item in the stream. The ones that did, however, spin off and horizontally link to users or topics who relate to them, either directly or in terms of their content.

The Social Collider acts as a metaphorical instrument which can be used to make visible how memes get created and how they propagate. Ideally, it might catch the Zeitgeist at work.

More information here & here.

Crazy cool, check it out.

AListApart’s annual survey for people who design websites. Quite the read, well worth it and very interesting.

rdrb:

Just like the last 3 years, the Web Trend Map 2009 by the Information Architects gives you the perfect overview of the internet. They mapped the 333 most influential web domains and the 111 most influential internet people onto the Tokyo Metro map. The height of a station refers to its traffic, revenue and trend. Its width represents the stability of the company behind the domain. If it is possitioned on a main line then it is a classic site and so on. (via Web Trend Map 2009 – today and tomorrow)

thedailywhat:

OMG Adorbz! of the Day: For her latest project, Dear Gretchen, graphic designer Gretchen Nash took every letter she’s received since childhood and refashioned their content into fantastically aesthetic charts and graphs that parse every mundane fact from “Most Mentioned Animals” to “Top Verbs”.

OCD, FTW!

These are beautiful.

The Crisis Of Credit Visualized.

Har har…Fia$co!

Good watch, it’s better quality if you just click that link and watch it on his site :D

The holy grail of Data Flow…only $78, what a deal.