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 3. Understanding Your Data Using R

In this chapter, we will explore the idea of adding context to the data you are working with.

Specifically, we'll discuss the importance of establishing data context, as well as the practice of profiling your data for context discovery and how big data affects this effort.

At some point, you will perhaps discover that although the big data sources you have access to have the potential to positively impact your marketing efforts, profitability, decision making, or even your life, there also exists the risk of drawing incorrect conclusions from that same data. In fact, one could argue that the bigger the data, the bigger the risk. Thankfully, by properly profiling your data, you can see the big picture that your data provides a bit more clearly (that is, putting your data in context).

This chapter is organized into the following main sections:

  • Adding context

  • About R

  • R and big data

  • Example 1

  • Example 2

In Chapter 2, Access, Speed, and Storage with Hadoop,...