Northstar: The interactive, drag-and-drop data science platform by MIT

MIT researchers have spent years developing the new drag-and-drop analytics tools they call Northstar. Northstar is an interactive data science platform that rethinks how people interact with data. It empowers users without programming experience, background in statistics or machine learning expertise to explore and mine data through an intuitive user interface, and effortlessly build, analyze,…

Zeit’s interactive visualization of the 2019 European election results

Zeit — the German newspaper — analyzed recent election results in over 80,000 regions of Europe. They discovered many patterns – from the radical left to the extremist right. Moreover, they allow you to find patterns yourself, among others in your own region. They published the summarized election results in this beautiful interactive map of…

Learn from the Pros: How media companies visualize data

Past months, multiple companies shared their approaches to data visualization and their lessons learned. Click the companies in the list below to jump to their respective section The Financial Times The Britisch Broadcast Corporation The Economist FiveThirtyEight Financial Times The Financial Times (FT) released a searchable database of the many data visualizations they produced over…

Analysis of Media Coverage on Refugees

Hannah Yan Han is doing #100dayprojects on data science and visual storytelling and I can only recommend that you take a look yourself. Below you find her R text analysis (#41) of UNHCR speeches and TV coverage on refugees. Unsurprisingly, nouns like asylum, repatriation, displacement, persecution, plight, and crisis appear significantly more often in UNHCR speeches on refugees than…

Visualizing #IRMA Tweets

Reddit user LucasCu90 used the R package twitteR to retrieve all tweets that were sent with #Irma and a Geocode of central Miami (25 mile radius) from Saturday September 9, to Sunday September 10, 2017 (the period of Irma’s approach and initial landfall on the Florida Keys and the mainland). From the 29,000 tweets he collected, Lucas then…

Summarizing our Daily News: Clustering 100.000+ Articles in Python

Andrew Thompson was interested in what 10 topics a computer would identify in our daily news. He gathered over 140.000 new articles from the archives of 10 different sources, as you can see in the figure below. In Python, Andrew converted the text of all these articles into a manageable form (tf-idf document term matrix…

Variance Explained: Text Mining Trump’s Twitter – Part 2

Reposted from Variance Explained with minor modifications. This post follows an earlier post on the same topic. A year ago today, I wrote up a blog post Text analysis of Trump’s tweets confirms he writes only the (angrier) Android half. My analysis, shown below, concludes that the Android and iPhone tweets are clearly from different people, posting…

114 Years of Phillipine Disasters, Visualized.

It’s easy to think that disasters as devastating as Typhoon Yolanda – the super typhoon that claimed over 7,000 lives in 2013 – only happen once in a lifetime. However, the Philippines got hit a few more times over the past century. Thinking.Machin.es provides an interactive history of almost every storm, earthquake, flood, volcanic eruption, landslide,…