Book Image

SQL Server 2016 Developer's Guide

By : Miloš Radivojević, Dejan Sarka, William Durkin
Book Image

SQL Server 2016 Developer's Guide

By: Miloš Radivojević, Dejan Sarka, William Durkin

Overview of this book

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. This book introduces you to the new features of SQL Server 2016 that will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016's new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. The last chapters concentrate on implementing advanced topics, including Query Store, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.
Table of Contents (21 chapters)
SQL Server 2016 Developer's Guide
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
12
In-Memory OLTP Improvements in SQL Server 2016

Advanced graphing


Now is the time when we head towards the final section of this chapter. This section is a bit lighter. We will finish the chapter and the book with additional visualizations of the data. This section discusses advanced graphing with the help of the ggplot2 package.

This section introduces the following:

  • Basic ggplot() function

  • Advanced plot types

  • Trellis charts

Introducing ggplot2

The ggplot2 package is a frequently used graphical package among the R community. The package provides comprehensive and coherent grammar for graphical functions. The grammar is also consistent, and you can create nice graphs with this package. The ggplot2 package enhances the built-in graphical capabilities and gives a layer-oriented approach to plotting graphs.

The following command installs the package and loads it to memory:

install.packages("ggplot2"); 
library("ggplot2"); 

Here is the code for the first graph that uses the ggplot() function. The data used is the TM data frame, as created...