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Hands-On Data Science with SQL Server 2017

You're reading from   Hands-On Data Science with SQL Server 2017 Perform end-to-end data analysis to gain efficient data insight

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788996341
Length 506 pages
Edition 1st Edition
Languages
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Authors (2):
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Vladimír Mužný Vladimír Mužný
Author Profile Icon Vladimír Mužný
Vladimír Mužný
Marek Chmel Marek Chmel
Author Profile Icon Marek Chmel
Marek Chmel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Science Overview FREE CHAPTER 2. SQL Server 2017 as a Data Science Platform 3. Data Sources for Analytics 4. Data Transforming and Cleaning with T-SQL 5. Data Exploration and Statistics with T-SQL 6. Custom Aggregations on SQL Server 7. Data Visualization 8. Data Transformations with Other Tools 9. Predictive Model Training and Evaluation 10. Making Predictions 11. Getting It All Together - A Real-World Example 12. Next Steps with Data Science and SQL 13. Other Books You May Enjoy

Data exploration

Data exploration is an extremely important task in every data science or machine learning project. Without good knowledge of the data, we'll never succeed with our further predictive models. In this section, we will show you how to explore data using T-SQL queries, the SSIS Data Profiling Task, and a simple R function.

Exploring data using T-SQL

For simple data exploration, we can use T-SQL queries. Here, we will explore the uniqueness of values in columns where we estimate the uniqueness, a quality of reference between the SourceData.Contracts and SourceData.Actions tables, and also a rate of NULLs in several columns.

First of all, let's query both tables to obtain a sample of data and the structures...

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