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To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Quick remake of this penthouse scene that started in SketchUP and moved to 3dsmax using model+model new books Vol and Bookmanager Script for 3dsmax... Posted about it here - www.ronenbekerman.com/modelplusmodel-released-vol-06-book...
In the above picture of Glacier Grande, you'll see several notations that highlight the glacier's melting process over the past 25 years:
The section marked A represents the current glacier wall, 30 meters above the water surface.
B is a granite formation uncovered by the glacier, which is more than 40 meters high in points. This is also where the glacier wall was located approximately ten years ago.
With C we see where the glacier wall was 25 years ago. Global warming has had a significant impact on Glacier Grande.
D shows you sediment lines, depicting how high the glacier has been in past eras.
The ice floes depicted by E where originally part of the wall (A), and have calved. These mini icebergs were caught by the granite formation and eventually either melt or make their way into the larger lake.
F represents the larger ablation zone.
This is another shot from Tonan's senior picture shoot. He was so fun to work with and just a natural. He plays on the football team so we tried to take something that wasn't so traditional. Hope you enjoy!
I had a goal to walk 5000 km (3107 miles) in 2015. I ended up exceeding my goal as I covered 5016 km (3117 miles) in 2015. This meant I needed to average 13.7 km (8.52 miles) a day. I would track my mileage every day.
This plot indicates whether I was ahead or behind goal every day. I was sick in January and got far behind. I was in school March through June as well as October to December - I would slowly drop off my goal. Of course, hiking in the summer put me ahead of goal. Like any other project, I found the way to meet a goal is to track it on day at a time.
Fitness2015diff
At a concert.
Because of the age of the subjects I have not identified a location for this photo - If you can guess, please keep it to yourself - I will remove any comment that contains a guess about location.
Thanks!
This is a small visualization about my self I did last year at a university course. Did it with photoshop! :)
This is a cumulative plot, showing distance covered vs time, along with my goal versus time.
As of 28 March 2012, I've walked 511 miles. My goal was to cover at least 484 miles, so I'm 27 miles ahead of my goal. Most of those miles have been outdoors, but there were some (dreaded) treamill miles in the gym. As we get more light and less rain, I will get in some hiking, and start adding elevation. I have also started looking at how many of these are 'aerobic' miles (more than 100 steps per minute. (Yes - I do like numbers!)
fitness20120328
**I DID NOT CREATE THIS ANCHOR CHART***
i found this cool anchor chart on pinterest and repinned it. the original link is to an image on slide.com...which is no longer in existence.
NOTE: If this is your anchor chart...please let me know so i can give you proper credit. I am only storing it here so i can still have it for reference.
The Ars Electronica Futurelab made a high-profile guest appearance in Los Angeles. As part of the Walt Disney Concert Hall’s IN/SIGHT series, Esa Pekka Salonen conducted the L.A. Philharmonic Orchestra in a performance of Ravel’s “Mother Goose” that featured impressive visualizations designed by the Linz-based media art lab.
Credit: Ars Electronica Futurelab
The preliminary script & visualization I put together back in September are surprisingly still running. I know, strange. It even held up against a 400e-mail spike day that happened a bit over a week ago (it was CMU freezing old accounts that were on a mailinglist i manage). Anyway, this now needs to get re-written with a better visual, because in June, the June month bar will draw itself right on top of the all-time graph at the bottom. I would never have guessed it would have lasted this long.
You can see it live at tentaizu.com
Plotting the Rhythm of Female Fertility.
seen on Dutch Design Week 2010.
Design student Brigitte Coremans has developed a pair of clocks [brigittecoremans.com] that visualize the female reproductive cycle. The pieces titled 'Life Clock' and 'Menstruation Clock' question how much women should naturally know, understand, and feel still of their own menstrual cycle.
'Menstruation Clock' plots the woman's daily body temperature value unto a scrolling roll of paper, similar to those found in lie detectors and those old-fashioned ambient temperature monitoring devices. This clock aims to reconnect a woman with her own personal rhythm, which itself is sensitive to various factors, including stress, exercise, under- or overweight and artificial lighting. Naturally, one can easily imagine other usage scenarios for such a device as well, ranging from communicating fertility chances to providing men some insight into eventual mood swings.
The 'Life Clock' counts down 500 ceramic beads, which represents the average amount of chances a woman can conceive. Each 28 days, the clock counts down 1 bead from the necklace. The colors of the beads vary according to the age and quality of the egg. For instance, the dark beads show the amount of deviated eggs when a women turns 40.
Via Fastcodesign.
These visualizations show the top organizations and personalities for every year from 1985 to 2001. Connections between these people & organizations are indicated by lines.
Data is from the newly-released NYTimes Article Search API: developer.nytimes.com
For more information, and source code to access the NYTimes API, visit my blog: blog.blprnt.com
Archival-quality giclée prints of individual years are available at blprnt.etsy.com
Built with Processing v1.0 - www.processing.org
Today I launched the tech tool support web site for our Bachelor study program and still needed a header photo.
Having done a visualization with Lego building blocks once, I wanted to do something similar. I got the Lego blocks out and put my ideas into this visualization.
For an explanation, see Visualization for "Support in Using ICT".
rendered by frontop
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3d rendering, architectural rendering, architectural visualization ,architectural animation
My infographics students are full of great ideas but they do have bad orthography. Is it necessary to have good orthography to make a good ifographic? Could you make a great infographic even if you dont know how to read and write?
Visualizing the chemical composition of the Sun's photosphere, which is possible to measure mainly through spectroscopy, is difficult, because it is mostly made of hydrogen (73.7%) and helium (24.9%) by mass, 92% and 7.8% by the number of atoms respectively.
Here, instead of showing it in a logarithm scale, I chose to scale the volume of each sphere according to the number of atoms of each element relative to the total number of atoms. This way it is still possible to show the least abundant elements compared to hydrogen.
The number of atoms of each element in the Sun's photosphere is printed in the bottom right corner in parts per billion.
Source: Asplund et al. 2009
This is a visualization of Moscow 2009 Eurovision Final votes. Each color represents a country and each link represents a vote. Color of the vote represents the awarded country and the weight of the link represents vote’s value.
The Opening Ceremonies of XXX Olympic Games will start July 27th, welcoming athletes from 184 countries. More than 10 000 athelets will compete for 302 gold medals, but main struggle will be between 5 countries.
Visualizing the various features of the SwiftRiver distributed reputation and veracity functionality. The most classic scenario of ‘gaming’, is spam, bots or human individuals who are trying to vote bogus content ‘up’ so it will be weighted higher than other content. Section “A” represents User 1. Section “B” represents the activity of User 2 (our spammer). Section “E” represents the community within this particular Swift instance. Section “F” represents the users of our distributed trust system River ID or the global SwiftRiver economy. Section “C” represents individual content items. Section “D” represents the source that content is coming from.
The thickness of the lines connecting the users to the content and the source, represents how they’ve voted on those particular things. The thickness of the line for User 2 tells us that he’s rating these things very highly. Perhaps they come from his blog, and he wants them at the top! The thickness of the lines from the local community of the SwiftRiver instance as well as the global users tells us that these content sources are suspect. We can see that User 1 (who represents our average, active user) is voting closer to the how the community is voting, in fact even harsher than the community votes both the content and the source (represented by thinner lines).
This dynamic relationship between users and their interactions with content (in contrast to the local and global community) is considered when scoring users, content, and the sources. In this case the person voting against the tide is actually damaging his or her own reputation both locally and globally. However, this isn’t the only thing we consider, otherwise it would encourage conformity which also isn’t good (sometimes the outlier knows something the rest don’t.)
common visualization of ANN
This is originally uploaded by Mike MacKenzie at here, and clipped by Liam Huang.
Ascent Penthouse
Client: Mr Dung - IAM Architecture
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@ Long Nguyen & Thu Nguyen
Architecture - Interior Design & 3D Visualization
0979 962 864, Ho Chi Minh City
advlongnguyen@gmail.com
www.esv.org/blog/2008/01/harrison-visualization/
not a social networking visualization, but this website has many, many other types of visualizations