Book Image

Big Data Visualization

Book Image

Big Data Visualization

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (15 chapters)
Big Data Visualization
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Chapter 7.  Dealing with Outliers Using Python

A certain percentage of all data will consist of what is referred to as outliers--those points or responses beyond reasonable ranges established for the data, based upon its context. General responses to found outliers become increasingly challenging within big data initiatives.

In this chapter, we will focus on the topic of dealing with outliers as they relate to big data visualization, introduce the Python language, and offer working examples demonstrating solutions for effectively dealing with data outliers and other anomalies in big data, using Python.

This chapter is organized into the following main sections:

  • About Python

  • Python and big data

  • Outliers

  • Some basic examples

  • More examples