Not today Justin
PR's Tumblrdome
I'd rather be in outer space 🛸
bliss lane
NASA
𓃗
Sade Olutola
Monterey Bay Aquarium
sheepfilms
macklin celebrini has autism
noise dept.
tumblr dot com
blake kathryn
will byers stan first human second
gracie abrams
Lint Roller? I Barely Know Her
roma★
🪼
JVL
ellievsbear
seen from Belgium
seen from Australia
seen from Indonesia
seen from Germany
seen from Mexico
seen from Indonesia
seen from New Zealand
seen from United States
seen from Germany
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@rickizdataviz-blog
This animated GIF from Micaël Reynaud's award-winning series warping space and time calls to mind the iconic Powers of Ten film by Charles and Ray Eames visualizing the scale of the universe.
In fact, it’s surprising that no one (to my knowledge) has adapted the film into an animated GIF yet – though it’s been adapted into a delightful flipbook, which is essentially an analog animated GIF.
Final Project
This is the submission to my final project with j475 Data Visualization. I just realized my visualizations is mostly about food. Inspired by Jer Thorp's Good Morning visualization and after finding the different keywords in Topsy to decided a set of keywords that present the best deviation to each one, we used ScrapeWiki to get almost 300,000 lines of twitter data based on the topic of Breakfast, Lunch and Dinner for the 24 hrs of 12/1/2013.
We decrease the project scope by deleting tweet's that are without geocode, and then roughly filter out points that are outside US. I am so glad that I tried out Tableau for this visualization. It has a lot of template that help me started, and the only code that you need is database language like SQL (which I was learning this semester with another class ).
My visualization is separated into four pieces. All of the charts/map can be filtered by the middle time line bar. The top map is showing the distribution of each tweets, and when you hoover to each point, you can see the actual content of each one. Under the map, there is a line chart that show the overall trend of each topic (Apparently, dinner is huge thing for US people - or maybe people are still talking about their Thanksgiving dinner).
The bubble chart show the language that people used for each tweet (just want to see what are the other language that people us in here).
The bottom one, i think it may be the most interest one visualization besides the mapping. It is interested to see that some people like to tweet about everything that they eat for anytime, and some people like to talk about what other people are eating. It is interested to break down the data into individual and find some interesting stories our of it.
Overall, I am really happy with my experiment with Tableau, and I think I will continue to use that in the future!
http://public.tableausoftware.com/views/J475FinalProject/j475finalproject?:embed=y&:display_count=no
Learn About Tableau
How to export twitter data into a dashboard
Final project updates:
After all the frustration, I finally started to use Tableau for my twitter scrapping visualization project - and it is absolutely amazing!
Not only it can analyze your data and clean them by field type, it also provide lots of visualization options such as mapping, which is really helpful for our geocode data. As it is a opensource software, there are a lot of workbook that provide generic dashboard that guide my design.
It is possible to get real time data with tableau and python, but twitter's API recently changed, so the old tutorial is not applicable anymore. I am still using the 24 hrs data from ScraperWiki, which I think is absolutely a good tool for people like me who don't know too much about coding.
I am still trying to get more familiar with the software, and I really think it will be great tool to help me in any form of presentation or communication in the future :)
From buildings to bike lanes to painting over Broadway, how the city changed in 12 years of Bloomberg.
Visualization technology can turn massive amounts of data into pictures that are far more comprehensible, allowing businesses to get the most out of the troves of information they collect.
This series is a technical writeup of how we created visualizations of Twitter social graphs like this:
Explore on Recollect
I will attempt to cover the entire process, from prototyping to release. This first part will cover retrieving the initial data necessary to build a prototype.
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Is there there really a model for predicting the success of Kickstarter campaigns? A new interactive model from machine learning service BigML offers a fun way to try, although the dearth of public data from Kickstarter might affect its accuracy.
A predictive data set for visualization
Not really a data visualization, but rather a smart way to look at graphs! Cute, too!
The author has some other good visualizations in the work section.
Oops, how much that facebook know about you.
http://www.taz.de/!81248/
Oh the Internet people.
Netflix and YouTube dominate over half of downstream Internet traffic in North America, according to a new report.
American Communities Project
Washington Post
On Friday, we brought you the story of America’s 11 nation-states, as told by Portland Press-Herald reporter and author Colin Woodard. Woodard is just one of the many demographers and political scientists who have tried to illustrate the regional commonalities that explain our evolving country — Kevin Phillips, Joel Garreau, David Hackett Fischer and others have come up with their own versions. (Map 1)
One of the most comprehensive takes dives deeper than the state level: Dante Chinni, the journalist and author of Patchwork Nation, has divided the country into 15 types of counties for the American Communities Project at American University, from the Big Cities to the African American South and the LDS Enclaves in the west. Here’s his map: (Map 2)
Presentation for Wisconsin Alumni Association data
Interesting to see Apple's release pattern - they really like having the conference on October hmmm
I am really a email junkie... a data visualization of your email activity: https://immersion.media.mit.edu/
