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SQL Server 2017 Machine Learning Services with R.

You're reading from  SQL Server 2017 Machine Learning Services with R.

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Pages 338 pages
Edition 1st Edition
Languages
Authors (2):
Julie Koesmarno Julie Koesmarno
Profile icon Julie Koesmarno
Tomaž Kaštrun Tomaž Kaštrun
Profile icon Tomaž Kaštrun
View More author details

Table of Contents (12) Chapters

Preface 1. Introduction to R and SQL Server 2. Overview of Microsoft Machine Learning Server and SQL Server 3. Managing Machine Learning Services for SQL Server 2017 and R 4. Data Exploration and Data Visualization 5. RevoScaleR Package 6. Predictive Modeling 7. Operationalizing R Code 8. Deploying, Managing, and Monitoring Database Solutions containing R Code 9. Machine Learning Services with R for DBAs 10. R and SQL Server 2016/2017 Features Extended 11. Other Books You May Enjoy

Variable creation and data transformation

Variable creation and data transformation are two processes when defining data munging and data wrangling tasks. These tasks are important for proper data preparation and make it easier to analyze data for future tasks.

The functions that we will be exploring are as follows:

  • Variable creation and recoding
  • Data transformation
  • Handling missing values
  • Sorting, merging, and splitting datasets
  • Aggregate by category (which means sums), which is similar to T-SQL aggregations and Windows functions

This part will cover some of the following functions, mainly focusing on data transformation, handling missing values, and splitting datasets:

RxDataSource, rxDataStep, rxDataStepXdf, RxFileSystem, rxFindFileInPath, rxFindPackage, rxFisherTest, RxForeachDoPar, rxGetInfo, rxGetInfoXdf, rxGetJobInfo, rxGetJobInfo, rxGetOption, rxGetVarInfo, rxGetVarNames...

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