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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
**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.
del.icio.us & the culture of tagging
See-ming Lee
2006-10-27
Presentation (18 Pages)
www.flickr.com/photos/seeminglee/1538492834/
2: bookmarks: traditional model
www.flickr.com/photos/seeminglee/1538495348/
10: tagging books: library thing
12: tag visualization: yahoo research - taglines
13: tag visualization: revealicious - spacenav
14: tag visualization: browse delicious
15: tag visualization: del.icio.us.discover
www.flickr.com/photos/seeminglee/1537653599/
www.flickr.com/photos/seeminglee/1537667527/
18: tag visualization: tagnautica
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©2006 See-ming Lee / SML Flickr / SML Universe. All rights reserved.
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
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!
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".
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.
A visualization of the 2013 Super Bowl between Baltimore and San Francisco.
Screenprints available @ shop.infojocks.com/products/2013-baltimore-ravens
Video walkthrough @ vimeo.com/72186160
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
An array of retina cells surrounds the lens during eye development in a zebrafish embryo. The image was taken at the embryonic developmental stage relevant to retina and lens development in zebrafish (Danio rerio) at 24 hours post-fertilization. Structures of the forebrain can also be seen in this image.
"Our mission to bring you a new type of visual discovery experience is already underway. We’re building a series of bite-sized applications that bring the richness of game interactions and the design values of motion graphics to the depth and breadth of social network activity, locative tools, and streaming media services. These new ‘visual instruments’ will help you explore your digital life more fluidly and see patterns and rhythms in the online services you care about. And they’re coming to a tablet, media console, or modern web browser near you!"
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.)
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.
rendered by frontop
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3d rendering, architectural rendering, architectural visualization ,architectural animation
A graph created with networkx and matplotlib using data from Freebase that shows the influence of programming languages within the object-oriented paradigm.
Find more programming paradigm influence graphs at:
visualizations/programming-language-influence-by-paradigm-gallery
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?
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
This is a pic of the sun coming around Earth. This is from the ps3 visualization set. I took this while listening to some music. If you have a ps3, hit square until you see the earth visualization set (a couple of times from the default screen) while you are listening to music. It is awesome.
David Cook, Chief Clinical and Operating Officer, Jiahui Health, People’s Republic of China capture during the Session: "Visualizing Disease" at the World Economic Forum - Annual Meeting of the New Champions in Dalian, People's Republic of China 2017. Copyright by World Economic Forum / Sikarin Fon Thanachaiary
This image visualizes the discovery of asteroids from 1801 to 1900. The Solar System is shown in a logarithmic scale to allow both the main asteroid belt and Kuiper objects to be shown. Asteroids are shown in the position of their perihelion. This makes it easier to separate the various families.
I also plotted the histogram of how many minor planets were discovered each year, the semi-major axis, and excentricity on the right panels. The left panels show the excentricity and inclination as a function of semi-major axis, this is again to show how the various asteroid families were defined based on their orbits.
Data source: www.minorplanetcenter.net/
Youtube visualization: youtu.be/QOdrRX-IScc
Visualizing our bug system, using code_swarm with COLORS!
Red: Case opened
Green: Case closed
Blue: Talking about the case
Orange: Reassigned
All other actions show up as gray.
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
Cynap Presentation and Collaboration System from WolfVision. Can be used either with or without a connected Visualizer. www.wolfvision.com