For this week’s top visualization, Nelson Davis of Slalom analyzes the advertising revenue generated by Super Bowl television commercials over the course of the game.
“Map-D uses multiple NVIDIA GPUs to interactively query and visualize big data in real-time. Map-D is an SQL-enabled column store that generates 70-400X speedups over other in-memory databases. This talk discusses the basic architecture of the system, the advantages and challenges of running queries on the GPU, and the implications of interactive and real-time big data analysis in the social sciences and beyond.”
As social media becomes increasingly important as a data source for the purposes of machine learning, finding a brand new method for analyzing the Twitter microblogging platform is very compelling. Tauid Zaman, assistant professor at MIT’s Sloan School of Management, developed a probabilistic model for the spread of an individual tweet in the twitterverse.
Witness the Viz Hall of Fame thanks for our friends at Tableau Software. Featured are several cool visualizations submitted to the company by users of Tableau Public including: Nuclear Explosions Since 1945, Marriage Equality Around the World, 1000 Number 1 Albums, and Do Old Movies Get Better With Age?
Information visualization is an increasingly important element of big data as it is the technology best able to convey the message emanating from the data. Here is a nice paper “Infovis and Statistical Graphics: Different Goals, Different Looks” (pdf) by Andrew Gelman (Professor of Statistics at Columbia University) and Antony Unwin that discusses the topic of information visualization.
When FIFA announced the final matchups for the 2014 World Cup, the selections brought tough news for U.S. soccer fans. Team USA was placed in a group with Germany, Portugal, and Ghana. Germany and Portugal are both ranked among the top five teams in the world and Ghana beat the United States in the previous two World Cups. For Team USA, it’s a group of death.