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Data Science with SQL Server Quick Start Guide

You're reading from   Data Science with SQL Server Quick Start Guide Integrate SQL Server with data science

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537123
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
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Table of Contents (10) Chapters Close

Preface 1. Writing Queries with T-SQL FREE CHAPTER 2. Introducing R 3. Getting Familiar with Python 4. Data Overview 5. Data Preparation 6. Intermediate Statistics and Graphs 7. Unsupervised Machine Learning 8. Supervised Machine Learning 9. Other Books You May Enjoy

Ways to measure data values

I already introduced statistical terminology, which is also used in data science: you analyze cases using their variables. In a RDBMS database, a case is represented as a row in a table and a variable as a column in the same table. In Python and R,  you analyze data frames, which are similar to tables, just with positional access.

The first thing you need to decide is what the case is you want to analyze. Sometimes, it is not so easy to exactly define your case. For example, if you're performing a credit risk analysis, you might define a family as a case rather than a single customer.

The next thing you have to understand is how data values are measured in your data set. A typical data science team should include a subject matter expert that can explain the meaning of the variable values. There are several different types of variables...

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