Book Image

Spark for Data Science

By : Srinivas Duvvuri, Bikramaditya Singhal
Book Image

Spark for Data Science

By: Srinivas Duvvuri, Bikramaditya Singhal

Overview of this book

This is the era of Big Data. The words ‘Big Data’ implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages. Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R. With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.
Table of Contents (18 chapters)
Spark for Data Science
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Descriptive statistics


In the previous section, we learnt how distributions are formed. In this section, we will learn how to describe them through descriptive statistics. There are two important components of a distribution that can help describe it, which are its location and its spread.

Measures of location

A measure of location is a single value that describes where the center of the data lies. The three most common measures of location are mean, median, and mode.

Mean

By far the most common and widely used measure of central tendency is the mean, which is otherwise known as the average. Whether it is a sample or a population, the mean or average is the summation of all the elements divided by the total number of elements.

Median

The median is the middle value of a series of data when sorted in any order so that half of the data is greater than the median and the other half smaller. When there are two middle values (with an even number of data items), the median is the average of those middle...