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There is a wealth of data that shows the value to companies of investing in employee health. It is not always easy to communicate it coherently and encourage employees to participate in wellness programs. GE Healthcare's Health Economics team has made an attempt to get it across in pictures. Watch Raquel Cabo from in GE Healthcare's Health Economics team talk about the data in the visualization.
For more information, please visit newsroom.gehealthcare.com/articles/wellness-dataviz-shows...
"Vulnerability" is the word that best describes small islands' situation. These territories, placed close to the equator, in Atlantic, Indian and Pacific Ocean, are subjected to extreme natural events, such as cyclones and floodings. These natural catastrophes weaken the territory and affect both population and economy causing, on the one hand, the inability to find a stable position in the marketplace and preventing from reaching, on the other hand, the benefit needed to face such catastrophes.
Global temperature rising strongly contributes to get the situation worse: IPCC's datas show how in the last decades extreme events have increased in number and intensity in conjunction with temperature rise. Even if they're not directly responsible of climate change, small islands are those who most feel these events and they are now experiencing what the rest of the world could be forced to face in one hundred years.
Nowadays, among dissenting opinions, the solutions found are very few, not entirely effective and, most of all, hardly feasible.
Project by:
Marco Agosta
Elisa Angelico
Michele Crivellaro
Federica D’urzo
Elisa Mariangela Raciti
Image from "Flight Thru Instruments," a 1945 US Navy pilot-training manual designed by the Graphic Engineering Staff at General Motors, under the direction of Harley Earl.
More explanation on the blog:
"Flight thru Instruments" and the Fine Art of Instructional Illustration
sent to my group www.flickr.com/groups/abc-visualized for the letter C: 1. Happy Furry weekend..., 2. Maiden Flight Concorde 002, 3. Colliding planes, 4. Untitled
I'd like to say hola! to my most frequent visitors, friends, family and not so friends but I really appreciate your kind support. I'm including the ones I know they silently come time to time. Also hello to my 4 well known spies who decided to choose the dark side of the force. I guess you're planning your holidays. I'll go to Mallorca and Ibiza soon. Well, this is not completely true yet but I need to visualize it to make it real! ;-D
This song always cheer me up. I don't know what it says... It sounds like Disney into me and I don't know why. I hope you're having a good time!
Listening...
www.goear.com/listen/f083f46/LDN-Lily-Allen
<3
The University of Hawaiʻi at Mānoa’s Laboratory for Advanced Visualization & Applications (LAVA) was founded in January 1, 2014 by UH Mānoa Professor Jason Leigh. The mission of LAVA is to conduct research and development in big data visualization techniques, and to apply these techniques in cutting edge domain science, engineering, and training applications.
Graphed in this image are all the items that were featured on the front page then sold within the day, sorted into columns by price. It was generated from data spanning the last two weeks of September 2007 using a program written in Flash AS3.
Please view the original resolution.
Looks like there is a sweet spot at $15, as well as most of other multiples of $5. The sole item in the $0 column, was actually listed as $.20 and rounded down for the graph placement (also known as a P.I.F.).
www.etsy.com is a marketplace to buy and sell handmade goods and is a company I helped co-found in June 2005.
www.intersectionconsulting.comThis visual, inspired by Seth Godin, illustrates 5 pillars of marketing success: Vision, Objectives, Decision Making, Knowledge and Trust.
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
2017 DownUnder Championships
Australia + New Zealand + USA
Griffith University Athletics Track
Gold Coast
Australia
This is a Social network anlysis from www.linkedinlabs.com/inmaps of my LinkedIn contacts. The color coding corresponds to different groups that I know, and how the tool classifies them. (I will say that it is remarkably correct)
LinkedIN20120610a
For a nice comparison, this is a graph originally done when Etsy was 2 months old. It shows all registered Etsy users with avatars on August 11, 2005. Ordered from top left to bottom right by date of registration.
See the same visualization for the month of October 2007.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Good grief...!!! This reminds me of the walls of my room growing up. We weren't allowed to put posters up, but I won a B&W poster of Tarzan at the State Fair and it was all over from there. By the time I moved out, my room was one giant Vision Board with the walls and ceiling completely covered!
I did my first Vision Board when I was 10. You know me, I still have it somewhere. It is all about women's fashion a la 1970 and is on purple construction paper. This was before I knew I would have a purple room and spend many years of my career in women's and men's fashion. So there must be something to the concept of a Vision Board and the achievement of one's future dreams.
Now, my Vision Board isn't so much about having material things. That's ok and I already have enough things. It's more about how I aspire to be and the time I would like to have to do it all.
In the instructions, they say to not worry about being artistic. How do you tell an artistic person to not be artistic...lol? And they say to put it in a place where you can see it often. So there you have it!
Now, I've got to go clean my room. Or NOT!!!
Thank you, Joe for letting me use the pic of me. One reason I love this pic is because it was taken in front of the statue of Columbus. Someone who had a definite vision of where he wanted to go. . .
Please!! NO Awards or Large Graphics...Group Buddy Icons are OK. Thank You!
© CPMcGann. All rights reserved. If you are interested in using my images, please contact me first.
CMS utilizes a distributed infrastructure of computing centers to provide access to data stored on disk only at Tier-2 centers and tape with disk caches at Tier-1 centers. Attached are CPU resources for organized processing and analysis. Data is organized in datasets which consist of files grouped in blocks for performance reasons. CMS uses it's data transfer system PhEDEx, to transfer datasets from site to site and its data bookkeeping service DBS to track location and metadata. Integrated over the whole system, even in the first year of data taking, the available disk storage approaches 10 petabytes of space. Maintaining consistency between the data bookkeeping service, the data transfer system, and physical storage is an important operational task which guarantees uninterrupted data availability.
sent to my group www.flickr.com/groups/abc-visualized for the letter B: 1. big small, 2. Boat floating on clouds, 3. harmony . . ., 4. Playin_de_Blues
You can see what remains of a ledge where the Freemont people likely stood a 1,000 years ago to carve the figures in the stone. Sadly, the ledge has lasted to current times so it enables people to vandalize the ancient symbols.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
After seeing Cooper Smith's visualizations of data from runners in New York City, I wanted to see what similar data sets would look like for other cities. Nike+ doesn't have public GPS logs, but MapMyRun does, if you are willing to spend several hours clicking through search results to hit the "Download" buttons, so that's what I did to get the tracks for these 771 runs (from June 13 through August 9) in San Francisco.
As Open Source Planning has pointed out, uploaded runs come from a fairly small, self-selected group of people, the most obvious result of which is the total absence of the southeastern corner of the city from this map. It is also a very self-conscious process, so it is biased toward intentional, and often intentionally difficult, trips made for their own sake, and away from the repetitive patterns of everyday life.
Unfortunately the MapMyRun tracklogs do not have date and time stamps, so it is not possible to do the time of day, pace, and interruption analyses that Cooper Smith did. I should have done direction of travel, though.
Kunal Anand was kind enough to do some crazy ass Python/Processing hack to create a cluster of all my tags and how they interoperate. Looks cool and cloudy.
This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2008.
Built with Processing (http://www.processing.org)
Prints from this and other NYTimes visualizations are available on my Etsy store: blprnt.etsy.com
For a Rinko setup, the frame needs to simultaneously rest on the hind-edge of the saddle as well as both rear frame drop outs, without damaging the rear derailleur assembly. As you can see, the rear derailleur sticks out somewhat.
I've been having some issues with our MoMA-bound Cabspotting visualization lately, and, as is often the case, ended up having to create another visualization just to figure out what the problem was.
Each of the white dots represents a discreet data sample–the location of a specific cab at a particular time. Here, samples for each cab are placed on a separate row and arranged temporally from left to right. More "active" cabs (i.e., the ones with more available samples) are placed at the top.
The green and red marks at the top represent the start and end times of the displayed period. For each cab, an algorithm seeks through the list of segments between each sample that fall within them. The hue corresponds to the position in the line between the start and end of the period: Green lines are closer to the start time, red ones to the end time.
So, what does it show? Primarily, that there is quite a bit of "bad" data in our set. Those long lines at the bottom indicate extended periods of time during which those cabs weren't transmitting their locations. Most cabs tend to ping the depot every 30-60 seconds, but some do it less than once per hour. For the most part, though, the consistency of that green-to-red column seems to indicate that we've got a pretty good idea of where most of the cabs were in that time period, and with a reasonable degree of resolution.
God, I'm such a geek.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA