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You're reading from  Apache Spark for Data Science Cookbook

Product typeBook
Published inDec 2016
Publisher
ISBN-139781785880100
Edition1st Edition
Tools
Apache SparkPandas
Concepts
Data Science
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Author (1)
Padma Priya Chitturi
Padma Priya Chitturi
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Padma Priya Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.
Read more about Padma Priya Chitturi

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Data exploration

In this recipe, we'll see how to explore data.

Getting ready

To step through this recipe, you will need a running Spark cluster in any one of the modes, that is, local, standalone, YARN, or Mesos. For installing Spark on a standalone cluster, please refer to http://spark.apache.org/docs/latest/spark-standalone.html. Also, include the Spark MLlib package in the build.sbt file so that it downloads the related libraries and the API can be used. Install Hadoop (optionally), Scala, and Java.

How to do it…

  1. After variable identification, let's try to do some data exploration and come up with inferences about the data. Here is the code which does data exploration:

                // Basic Statistics for numerical variables 
            val summary_stats = sales_data.describe() 
            println("Summary Statistics") 
            summary_stats.show() 
       
            // Unique values in each field 
            val columnNames = sales_data.columns 
...
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Apache Spark for Data Science Cookbook
Published in: Dec 2016Publisher: ISBN-13: 9781785880100
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Padma Priya Chitturi

Padma Priya Chitturi is Analytics Lead at Fractal Analytics Pvt Ltd and has over five years of experience in Big Data processing. Currently, she is part of capability development at Fractal and responsible for solution development for analytical problems across multiple business domains at large scale. Prior to this, she worked for an Airlines product on a real-time processing platform serving one million user requests/sec at Amadeus Software Labs. She has worked on realizing large-scale deep networks (Jeffrey deans work in Google brain) for image classification on the big data platform Spark. She works closely with Big Data technologies such as Spark, Storm, Cassandra and Hadoop. She was an open source contributor to Apache Storm.
Read more about Padma Priya Chitturi

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