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The Best of the Week (Nov 7): Big Data Zone

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The Best of the Week (Nov 7): Big Data Zone

· Big Data Zone
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Need to build an application around your data? Learn more about dataflow programming for rapid development and greater creativity. 

Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (November 07 - November 14). Here they are, in order of popularity:

1. Learn R: Hello World with R

  • This article represents some of the basic concepts you need to understand in order to write a Hello world using the R programming language.

2. How well does sample range estimate range?

  • I’ve been doing some work with Focused Objective lately, and today the following question came up in our discussion. If you’re sampling from a uniform distribution, how many samples do you need before your sample range has an even chance of covering 90% of the population range?

3. Extracting Datasets from Excel Files in a Zipped Folder

  • The title of the post is a bit long, but that’s the problem I was facing this morning: importing datasets from files, online. I mean, it was not a “problem”, more a challenge (I should be able to do it in R, directly)

4. Using R: R Class for Wildfire Scientists

  • Mazama Science has just finished creating class materials on using R for the AirFire team at the USFS Pacific Wildland Fire Sciences Lab in Seattle, Washington. Autodidacts new to R should take about 20-30 hrs to complete the course.

5. R: Converting a named vector to a data frame

  • I’ve been playing around with igraph’spage rank function to see who the most central nodes in the London NoSQL scene are and I wanted to put the result in a data frame to make the data easier to work with.

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