Jeffrey Breen (the man behind the Twitter airline sentiment analysis example) recently posted a collection of slides with some great tips for accessing data from R. "Tapping the Data Deluge" includes information on:
Using the XLConnect package to read data from Excel spreadsheets
Using the foreign package to read SPSS, SAS, Stata and dBase data files
Using SQL queries to import data from MySQL with the RMySQL package
Accessing unstructured data in Hadoop with rhbase
Scraping data from websites via direct URLs and the XML package (to parse HTML tables)
Accessing public data sources (economic, financial, social, etc.)
Many thanks to Jeffrey for preparing and sharing this useful information. I've embedded the slides below, and you can find more information, including R code implementing the examples, at Jeffrey's blog linked below.
Jeffrey Breen: Slides from “Tapping the Data Deluge with R” lightning talk robertmorschel wrote: In my experience SOA needs to begin with a single, skilled team that can define evolving standards and processes in an agile manner, before being let loose on the enterprise; and even then, only if the enterprise has an established and effective centralised governance function that would be able to enforce SOA policies across multiple teams.
Robert
Oct. 10, 2012 03:57 AM EDT
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