Book Image

SQL Server 2017 Developer???s Guide

Book Image

SQL Server 2017 Developer???s Guide

Overview of this book

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will be armed to design efficient, high-performance database applications without any hassle.
Table of Contents (25 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Free Chapter
1
Introduction to SQL Server 2017
Index

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 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 a 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 into 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 and modified...