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Google Analytics’ default sample threshold is set at 250,000 rows of data, after which a sample subset is used to represent the results of the whole. However, sampling saves processing time at the expense of accuracy, so this tutorial shows followers how to overcome GA’s sampling limitations.
March Madness comes the challenge to predict a perfect bracket, with the odds of achieving this something like 1 in 135 billion, a bit of insider knowledge would definitely help.
Exist, an app that tracks lifestyle data, provides an API that allows users to create new things with their personal information.
The Foundation Center, a leading provider of philanthropy data, analysis, and training, has just announced the launch of Foundation Stats, a brand new online tool that generates tables and charts from a vast collection of data about the U.S. foundation community. In addition, the Foundation Center has also provided a Foundation Stats API allowing developers programmatic access to the philanthropy data available at Foundation Stats.
FantasyData.com, NFL statistical data provider, offers the FantasyData NFL API. The API gives developers access to NFL data (e.g. team stats, live scores, season information, box scores, and more). The API targets web and mobile app owners who develop apps for the fantasy football market. Many of the most popular fantasy football apps have already integrated with FantasyData's APIs.
Statistical Me gives an online representation of how unique users are based on Australian government census data. The data, pulled from the Australian Bureau of Statistics (ABS), is also accessible through the Statistical Me API. The data upon which the statistics are pulled include gender, age, marital status, number of children, income, vehicles, rent/mortgage, and more. Users roll virtual dice until they uncover a profile that fits the user. Based on the results, users receive a graphical and numerical representation of their uniqueness as compared to fellow Aussies.
Here is an interview with Karthik Ram, who has co-created the rOpenSci project, which helps make REST APIs consumable by the R language. Developers can take note of this - R is one of the widely used statistical languages in the world, and has many GUIs for making advanced data mining easily available.
So just how is your App doing? Got calls on your API? How many? StatHat API makes it possible to answer these types of questions statistically and to chart the data to pick out trends and patterns. Seeing is comprehending.
Our API directory now includes 39 statistics APIs. The newest is the NISS API. The most popular, in terms of mashups, is the Compete API. We list 13 Compete mashups. Below you'll find some more stats from the directory, including the entire list of statistics APIs.
For statisticians trying to use the internet as a source of data, the Internet creates a unique dilemma . Statisticians don't really get web programming and web programmers don't really get statistics.
Have you ever wondered how much traffic Twitter handles in a given day, or what software sits behind the curtain of the popular service? A recent presentation reveals some of the answers. Twitter's incredible growth becomes obvious when you compare the recent numbers to those announced at Chirp.