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SQL Server 2017 Machine Learning Services with R

You're reading from   SQL Server 2017 Machine Learning Services with R Data exploration, modeling, and advanced analytics

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787283572
Length 338 pages
Edition 1st Edition
Languages
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Authors (2):
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Julie Koesmarno Julie Koesmarno
Author Profile Icon Julie Koesmarno
Julie Koesmarno
Toma≈æ Ka≈°trun Kaštrun Toma≈æ Ka≈°trun Kaštrun
Author Profile Icon Toma≈æ Ka≈°trun Kaštrun
Toma≈æ Ka≈°trun Kaštrun
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Table of Contents (12) Chapters Close

Preface 1. Introduction to R and SQL Server FREE CHAPTER 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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