Data Stories – Details, episodes & analysis

170  |  Formalizing Design with Gabrielle Mérite and Alan Wilson

169  |  Data Conversations with Vidya Setlur

160  |  Visualizing COVID-19 with Carl Bergstrom

We talk with Rachel Binx about developing data visualization software for NASA.

We talk about data visualization literacy with Jeremy Boy, vis designer and postdoc at NYU, Helen Kennedy, Professor of Digital Society, and Andy Kirk, vis educator and editor of visualisingdata.com.

We talk with Assistant Professor Miriah Meyer and PhD candidate Nina McCurdy about Poemage, a data visualization tool they developed to analyze the sonic topology of poems.

Hadley created a number of hugely popular libraries for the R language, including ggplot2, which is used throughout the world to analyze and present data with R. On the show we talk about how he created ggplot2 and how it became so popular, some of the other libraries he built and the R ecosystem, as well as strategies to create popular software for data analysis and visualization. Enjoy Hadley Wickham!

We talk with Ben Wellington about his blog I Quant NY, where he writes about surprising facts he finds analyzing NYC open data.

We are recapping the year in data visualization with Andy Kirk and Robert Kosara — what were the biggest trends, the biggest misses, and what do we expect for 2016?

Hey folks, 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. Links mentioned: Yay for slow data! Reporter app: http://www.reporter-app.com/ Notebook app: http://www.notebooksapp.com/ And read the episode transcript here! 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.