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@tweetping
Follow the #Frenchelections on https://www.tweetping.net/#/french-election #dataviz #Election2017 #Melechon #Hamon #Macron #Fillon #Lepen #Realtime #Twitter #Presidentielle2017
Most business intelligence reports are typically populated with static tables and charts that fail to make information vivid. For the solution go to www.tweetping.net
Enter the Social Media Matrix with real time Lightping Public Display Visuals. Bring you social media data out of your dashboards and to your colleagues & clients! Get in touch today to learn more: [email protected]
Custom made dashboards for events with Lightping.
Turn your visitors into participants by engaging them with real time data around your event.
We've now added a couple new features on the Lightping Beta as well as a social wall. Don't hesitate to get in touch! [email protected]
As you begin a new project with data visualization firm or partner, here are a few things to keep in mind that will help streamline your efforts. 1. The m…
Great article about the working with Data Viz partners such as us to work efficiently.
Get in touch for all you (real time or not) data visualization needs! [email protected]
Our interactive data visualization shows how Twitter reacted to every goal during the EURO 2016 tournament.
Something light - this is a fun! “Motion capture, procedural animation and dynamic simulations combine to create a milieu of iconic pop dance moves that become an explosion of colorful fur, feathers, particles and more.”
Thanks to www.flowingdata.com
Euro 2016
Going to release a module for the UEFA Euro 2016 :)
Should be out later this week!
Graphic methods for presenting facts
102 years ago Willard C Brinton wrote the first book on data visualisation and the best way to apply these methods.
Interestingly many of the best practices he described then are still highly relevant today.
See yourselves:
The book can be found here
More about the man himself- here.
Mapping a straight line
Very nice map visuals of what's directly in front of you
http://www.fastcoexist.com/3058362/these-maps-show-the-surprising-places-a-straight-line-across-the-ocean-from-you/3
Half of our brain is hardwired for vision, vision is the biggest bandwith we have in terms of sensory information. Visualization is taking advantage of this.
More on visualizations, data narratives, storytelling (some of it a little historic) can be found in this video: Journalism in the Age of Data by Geoff McGhee, a Stanford fellow, who is an online journalist specializing in multimedia and information graphics. Over the past decade he has worked at The New York Times and ABCNews.com, and in France at Le Monde Interactif.
More reading on data journalism from Stanford here.
As data visualization aims to make data quick and easily comprehensible let’s take a look at some facts of big data. Check 32 more facts out!
The “V’s” of Big Data
IBM has developed a framework for tackling big data, centered around four “Vs” (though there are those who would argue there are maybe even six Vs):
Volume – though “big data” doesn’t need to be of any specific size, we can safely say that you won’t be able to load big data sets into Microsoft Excel. Velocity – just how fast data is being received, as well as how quickly the data needs to be analyzed so it can be used to make meaningful decisions. Variety – the number of data sources that make up your datasets, including sensor data, plain text, rich documents, video, social analytics, etc. Veracity – how reliable your datasets are, which is especially important because if you can’t trust the data in the first place, no amount of analysis will yield good results. Some, like us would like to add another one:
VISUALISATION Read more
Making data into art:
Found the above shortfilm describing how data visualization can tell unique stories on http://www.informationisbeautiful.net.
Besides the video, which being a Microsoft Office 365 infommercial , the actual page (Information is beautiful) is a feast for the eye for those that are into beautiful data visualizations.
Visualizations don’t always have to be as trippy as this one above. Certainly data visulaizations should follow some clear principals that make them captivating yet get the message across.
The 5 C’s of data visualizations provide a great starting point:
1.) Capture
2.) Clean
3.) Combine
4.) Calculate
5.) Control
Create your own urban mobility fingerprint/DNA using the interactive webmap. The map will show the area you can reach within a chosen time.
"All Roads lead to Rome". Check out these amazing visual by @moovelLab