I have come across some interesting DH projects lately that demonstrate the variety of uses of data and their applications. First, one must discover, invent or create the data before using it. Exhibit one is a student who took the driving directions in Jack Kerouac’s On the Road and created a set of driving instructions in Google (Berlin student transforms Jack Kerouac’s ‘On The Road’ into a set of Google driving directions):
Since Kerouac first published the original in 1957, fans have made various maps to retrace Sal Paradise’s journey. But Weichbrodt may be the first to take the trip itinerary, plug it into Google Maps, and reassemble the written directions into an eBook, “On the Road for 17,527 miles.”
“I did some research and I didn’t find anything. But it was so obvious that I had to do this,” he says.
Weichbrodt started by writing a short computer code that would allow him to enter a whole bunch of routes on Google. Once he entered all the locations in the book, he hit enter. And there was his book.
The second project deals with data mining and predicting the medal count for the Olympic Games in Sochi. Using Data Mining to Predict the Winter Olympics Medal Counts in Sochi shows a real life example of how the process of data selection, building data sets, etc. from many factors: economic, population, human development, geography, religion, politics, and freedom. As Dan Graettinger writes, “As data miners know, the data you expect to tell you the story isn’t always the stuff that actually does the job….” Once the data set is built, a predictive model is created. I look forward to seeing how accurate the preitions will be. Thank you to Kim Hoffman for sharing this on Twitter.
“…helps developers manage different versions of a project’s code. Many developers already use a piece of software on their computer called git to manage versions of code, and Github gives them a place to store Git’s files in the cloud and collaborate with others about them.”
In the latest issue of The Atlantic, Catch My Diff: Github’s New Feature Means Big Things for Open Data, GitHub is taking expanding on open data and applying it to maps. Last year:
“Github began to render 3D models, geographical data, and tables. These made the site an attractive home for municipal data—like the city of Chicago’s—and also allowed any information in Excel to be placed and viewed on Github.”
GitHub is exploring how to visualize the differences between documents, in a simliar way with as Juxta does with literary and historical documents.