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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

Using frequency tables to understand discrete variables

For an overview of discrete variables, you use frequency tables and charts. A frequency table can show the following:

  • The values
  • The count of the values, or the absolute frequency
  • The proportion of the value, or the absolute percentage
  • The cumulative frequency
  • The cumulative percent
  • Plus, you can create a bar chart or a histogram of the values' absolute percentage

Minimally, you need to calculate the counts of the distinct values of the variable.

Let me start with calculating the frequencies with T-SQL. Window aggregate functions are very handy here. The following query is a very efficient one. If you look at the first part of the query, you'll notice that there is a common table expression (CTE) query that calculates the absolute numbers, or the counts. The cumulative values—...

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