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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Performing Population Data Analytics using R


So far, we talked about how to use Mahout to solve various machine learning problems. Now, we are going to explain another tool/language called R, which has built-in support for various mathematical and statistical operations.

Getting ready

To perform this recipe, you should have R installed on your machine. You can download the installer from https://cran.r-project.org/bin/windows/base/.

How to do it...

In this recipe, we are going to learn some basic operations that one can perform using R. To start with, we will have one dataset that has information about Australia's population in various states. This is what the dataset looks like:

Year NSW Vic. Qld SA WA Tas. NT ACT Aust.
1917 1904 1409 683 440 306 193 5 3 4941
1927 2402 1727 873 565 392 211 4 8 6182
1937 2693 1853 993 589 457 233 6 11 6836
1947 2985 2055 1106 646 502 257 11 17 7579
1957 3625 2656 1413 873 688 326 21 38 9640
1967 4295 3274 1700 1110 879 375 62 103 11799
1977 5002 3837 2130 1286...
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