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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

Intermediate Statistics and Graphs

In Chapter 4, Data Overview, we analyzed a single variable. We finished the chapter by showing possible associations between pairs of variables graphically. In this chapter, I will briefly explain the statistics behind, and then develop the code to measure possible associations between, two variables. I will also include more graphical examples.

A very important concept in statistics is the null hypothesis. This is where you start your analysis from; you suppose that there is no association between two variables. An example of a question could be Is the commute distance to work associated with occupation? The null hypothesis here is there is no association between commute distance and occupation. With statistical analysis, you try either to prove or to reject the null hypothesis. However, you can never be 100% sure of the outcome; therefore...

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