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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
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
Teachers and students at Maryvale Preparatory School near Baltimore use the NASA Viz app in the classroom.
NASA Visualization Explorer Now Available For All iOS Devices
The popular NASA Visualization Explorer app, first launched for the iPad in July 2011, is now available for the iPhone and all devices running iOS 5.1+
A new universal version of the app is now available for download in the iTunes app store. Click here: svs.gsfc.nasa.gov/nasaviz/ to download the app
The app, which features the data visualization work of NASA's Scientific Visualization Studio, Earth Observatory and others, publishes two stories per week about the full range of NASA's astrophysics, planetary, heliophysics and Earth science missions.
Read more:
Join the NASAViz Community on Facebook: www.facebook.com/NasaViz
Follow us @NASAViz: twitter.com/#!/nasaviz
NASA's Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission.
Credit: NASA/Goddard
NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission.
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www.intersectionconsulting.comThis visual, inspired by Seth Godin, illustrates 5 pillars of marketing success: Vision, Objectives, Decision Making, Knowledge and Trust.
2017 DownUnder Championships
Australia + New Zealand + USA
Griffith University Athletics Track
Gold Coast
Australia
Really interesting visualisation by Nexus: view interactive version
I've added some notes explaining the clusters. They're remarkably distinct.
* The left cluster is personal, the right cluster is work.
* There are 3 sub-clusters in Personal, and 4 sub-clusters in Work
* Jared connects both personal and work clusters. He connects with both Wheel/LBi (where he and I used to work) and Isotoma (where I currently work), and he and his wife became good friends of ours.
* Besides my wife and my brother, there are virtually no family members in the graph. They're not very wired.
* I've lost touch with nearly all people I knew in school, and most of those I knew in uni
* I tend to add only people I know fairly well in real life, and very rarely clients
Nexus also shows you what you have in common with people in your network (Interests and Groups), ordered by the number of similarities. In my cases mostly Interests since I don't tend to join Groups. (Interests are fuzzy and unreliable.) Interestingly, the person at the top of my similarity scale is one of the outliers, Mary, whom I only know through Flickr.
Would love to see something like this for Twitter. TwitterAnalyzer is similar, but does not do the same kind of clustering. Also want this for Linkedin and Flickr
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
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
PROJECT:Jinhui Park
DESIGNED BY SCDRI
RENDERED BY FRONTOP
Frontop creates 3d rendering, architectural rendering, architectural visualization and architectural animation for architects, designers, real estate developers and much more.
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
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.
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.
Snapshot data-visualization on antibiotic resistance.
Taken from the forthcoming infographic mega-tome, Knowledge is Beautiful (HarperCollins, Mar 2014) Pre-order Amazon US & UK.
Download a poster from our PDF store.
See original image @ Information Is Beautiful.
How much rain?
This project was developed during the handmade visualization workshop at Breda's MOTI (Museum of the image) The purpose of the visualization is to measure the rain intensity using only simple materials (glass) and the instructions given in the workshop #hmvtk
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
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.
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
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.
Fitness2015histo
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
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
This is the A3 version (300 dpi) of the final uberinfographic. The uberinfograhic is an overview of over 365 beautiful infographics and visualizations. The core of this overview is an infographic in itself, a schematic that structures all infographics and visualizations.
Inspired from Whole Foods CEO John Mackey's excellent speech about Spiral Dynamics entitled “The Upper Flow of Human Development.”
I really like how Mackey describes each value system meme with bulleted lists describing the unique Characterstics, How they Make Decisions, Education, Family, Community & Life Space.
The only problem with the layout of all of this information in a linear fashion is that it has been really hard to compare and contrast the different vMemes with each other. That was why I created a Cheat Sheet Graphic with all of the six categories and characteristics in one big massive table.
More details here
Archived at web.archive.org/web/20060910031642/http://www.wholefoods....
This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2009.
Interesting here is the very steep rise in mentions of Twitter so far in 2009. Compare the leading edge of the Twitter curve to both web and internet - it is clearly on a steeper climb.
Compare this image to one made in February, to see the very clear 'Twitter explosion' -
www.flickr.com/photos/blprnt/3256480403/in/set-7215761338...
Built with Processing (http://www.processing.org)