This week we have Krist Wongsuphasawat on Data Stories to talk about visualization projects at Twitter. Krist has a Ph.D. in Computer Science from the University of Maryland, where he worked with Ben Shneiderman. Most recently, he has been a Data Visualization Scientist at Twitter since 2012.
On the show, Krist describes the kinds of projects that the visualization team at Twitter develops. He also walks us through a few of the most popular of these projects, including their famous visualization of Game of Thrones.
Data Stories is brought to you by Qlik. Are you missing out on meaningful relationships hidden in your data? Unlock the whole story with Qlik Sense through personalized visualizations and dynamic dashboards which you can download for free at qlik.de/datastories.
Mimi is fascinated by the moment when data get collected — by what can be captured in that moment, and what goes unseen. As a Fulbright-National Geographic Fellow, Mimi developed Pathways, a data storytelling project on a month’s worth of mobile data from a small group of Londoners. Using a quasi-ethnographic approach, the project reflects not only the individuals’ mobile metadata, but also their experiences becoming data subjects.
On the show, we discuss Mimi’s process recruiting both friends and strangers to become her data subjects, her experience developing personal relationships with each of them, and their reaction to the final product.
This episode of Data Stories is sponsored by Qlik, which allows you to explore the hidden relationships within your data that lead to meaningful insights. Ever wondered what it costs to live in Singapore or Sydney? Check out the Qlik Sense app “Cost of Living” to answer that question and many others! And make sure to try out Qlik Sense for free at: qlik.de/datastories.
Dear friends, we are really excited to publish our first “data sonification” episode ever! After many years of searching for the right person, subject and format, we are happy to publish this fantastic episode with Scott Hughes from MIT. Scott is an astrophysicist and a key figure at LIGO, the laser interferometer project that finally allowed scientists to “listen” to the sound of two colliding black holes.
Here Scott talks about how he decided to sonify his data and how sonification is being used by scientists to understand astrophysical phenomena.
Listen as we play a number of samples; Scott walks us through their meaning and the physics behind them. It’s really really cool. Warm up your ears!
You can also listen to some samples from Scott Hughes and his team here:
Simulation of a final collision of two massive black holes, what Scott calls “the ringing mode” of a black hole. All that is audible is the last “pop” of the system settling down to a single black hole.
Two objects moving past each other in space. The gravitational waves in this case are loud when the small body moves close to the large body (its motion is fast during that part of the orbit), and they are quiet when the small body is far away (when its motion is slow).
Also, take a look at the many links that we have added below. You can listen to the sounds yourself and discover a number of additional sonification projects.
Huge thanks to Scott for spending so much time with us preparing the sounds and recording the show. We loved it!
This episode of Data Stories is sponsored by CartoDB. CartoDB is an open, powerful, and intuitive platform for discovering and predicting the key facts underlying the massive location data in our world. Whether you are a business, government agency, or simply a lover of revolutionary spatial insight technology, don’t settle for anything less than the best interactive maps around. Learn how CartoDB is shaping the world of location intelligence at cartodb.com/gallery.
It’s time for another project-centric episode, and we finally talk about one of our favorite projects of the year — “Dear Data” by the most fabulous tag team of data illustrators around: Giorgia Lupi and Stefanie Posavec.
Their year-long project is about how “two women who switched continents get to know each other through the data they draw and send across the pond” and consists of 104 hand–drawn postcards all of which document one week of their lives. How much they cursed, laughed, read, smiled at strangers, … — all of this is documented in inventive, charming and very analogue ways.
Learn all about the project — how they started it, what they learned, and how it will live on — in the episode.
Data Stories is brought to you by Qlik, who allow you to explore the hidden relationships within your data that lead to meaningful insights. Check out this fun experiment on the qlik blog: “What Chart are You?”. And, make sure to try out Qlik Sense, which you can download for free at www.qlik.de/datastories.
In our latest episode, Enrico recaps the IEEE VIS’15 conference with Robert Kosaraand Johanna Fulda, and we compare notes about conference projects and papers. Find the transcript here, and check out our long list of selected projects below with plenty of links and video previews!
Hey folks, we are back! We really hope you had a good summer.
We start the new season with an “internal” episode. We give numerous updates on Data Stories. Things have changed recently — we have future ideas and two great events to get in touch with us!
The Visualized Conference, taking place in New York on Oct 7-10, 2015, is going to host a Data Stories Meetup on Oct 7, 2015. If you live in NYC or happen to be around please drop by! We’d love to meet and talk with you.
We will also offer an Ask Me Anything on Reddit on November 3. This is a unique opportunity to ask us questions live and chat together.
In the show we also talk about some of our recent projects.
This episode is sponsored by Qlik who allows you to explore hidden relationships within data that lead to insights. Read Patrik Lundblad’s blog posts on the three pillars of data visualization(1,2,3). You can download Qlik Sense for free at: www.qlik.de/datastories.
We have economist Max Roser from University of Oxford to talk about his Our World in Data project where he visualizes the social, economic, and environmental history of humanity up to the present day.
Our World in Data is a remarkable project that Max started on his own and worked on little by little in his spare time until it evolved into a full website with plenty of interesting data, presentations, and visualizations to to better understand humanity.
The nicest thing is that it provides a quite positive picture of the world and about the many ways that we are improving our conditions. Go to the website (http://ourworldindata.org/) and take a look at War and Violence, Poverty, Global Heath, Etc.
On the show we talk about how Max started his work; the process behind finding a topic, collecting, and curating the data; and producing these nice visuals that people can easily understand. We also talk about human biases, persuasion, and how Max learned to build web sites and visualizations.
We have designer and activist Mushon Zer-Aviv on the show today. Mushon is an NYU ITP graduate and instructor at Shenkar University, Israel.
He wrote the very interesting Disinformation Visualization piece for Tactical Tech’s Visualizing Information for Advocacy and we decided to invite him to discuss the million different facets of disinformation through visualization.
Is data and data visualization bringing some truth or should it always be considered an argument? Is there a way we can mitigate or even prevent disinformation? What strategies can designers use to make their opinions more apparent?
These are some of the questions we discuss on the show.
And don’t miss the part on “data obfuscation,” that is, how to use disinformation to increase our privacy!
The Persuasive Power of Data Visualization. A. V. Pandey, O. Nov, A. Manivannan, M. Satterthwaite, and E. Bertini. IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2211 – 2220, 2014.