About Social Media Today
election
2012 Presidential Elections Popular Vote
This post features an interactive chart/map as a good example of displaying diverging data using color. The value being measured is the percentage of votes for Barak Obama. You can use the mouse to hover over a state[read more]
Simple Methods and Ensemble Forecasting of Elections
Two enduring principles of forecasting are that simple methods can work as well as fancy methods, and that combining (averaging) forecasts, also known as "ensemble forecasting," will usually result in more accurate predictions than the individual methods being averaged.[read more]
How Nate Silver Won the Election with Data Science
Silver combined his statistical analysis skills, his statistical software and data-wrangline prowess, and a deep understanding of polling, economic influences, and above all the Electoral College to create a winning model. He deserves his success, and I hope it convinces those in the media that data is more powerful than punditry.[read more]
Analytics Overkill: Dashboards, Analysis and Big Data in the US Election
How come we have the most sophisticated analytics, the shiniest dashboards and the latest big data tools and we can still not predict who will win the 2012 US presidential election?[read more]
Thanks, Big Data: America's Drinking Habits Predict the Election
Forget about which candidate has the most likes on Facebook or followers on Twitter. Who needs social networks when "big data" can predict the next U.S. president based on America's drinking habits?[read more]
Analytics-based Presidential Campaigns
What stimulated me to write this piece is the opening sentence of a recent news article that stated “The first phase of the 2012 Republican presidential campaign, ending with the 10 states that vote this week on Super Tuesday, has been about money and message. The next several months will be about maps and math.”[read more]
2012: The Year of Big Data in American Politics
"Guess who has the hottest job in the 2012 presidential campaign … believe it or not, it’s the data mining scientist—or data analyst."[read more]
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SmartData Collective
“Mike, we are seeing an increase in businesses seeking specialized skills to help address challenges that arose with the era of big data. The HPCC Systems platform from LexisNexis helps to fill this gap by allowing data analysts themselves to own the complete data lifecycle. Designed by data scientists, ECL is a declarative programming language used to express data algorithms across the entire ...”
“Data variety is indeed both a challenge and an opportunity. I work for Gnip and we provide social data from a variety of sources and are constantly talking about what we call The Social Cocktail. We normalize the streams to help businesses overcome some of the challenges presented in this articles The Curse and Challenge of Data Variety section. Our customers are using multiple data sources ...”