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Machine Learning for Outlier Detection in R

A look into clustering to detect outliers in R. An extension on univariate statistical tests to include multivariate data.  Read more...
By Nick Burns 2017/07/05 | Source: SQLServerCentral.com | Category: r language
Rating: |  Discuss |   Briefcase | 577 reads

Scoring Outliers in Non-Normal Data with R

Using R to detect outliers is relatively easy, but most methods assume your data is normally distributed. How do you handle skewed datasets?  Read more...
By Nick Burns 2017/06/29 | Source: SQLServerCentral.com | Category: outlier detection
Rating: |  Discuss |   Briefcase | 533 reads

Statistics in SQL: Simple Linear Regressions

Although linear regressions can get complicated, most jobs involving the plotting of a trendline are easy. Simple Linear Regression is handy for the SQL Programmer in making a prediction of a linear trend and giving a figure for the level probability for the prediction, and what is more, they are easy to do with the aggregation that is built into SQL.  Read more...
By Additional Articles 2017/06/22 | Source: SimpleTalk | Category: statistics
Rating: (not yet rated)  Rate this |   Briefcase | 4,559 reads

Statistics in SQL: Kendall’s Tau rank correlation

Statistical calculations in SQL are often perfectly easy to do. SQL was designed to be a natural fit for calculating correlation, regression and variance on large quantities of data. It just isn't always immediately obvious how. In the second of a series of articles, Phil factor shows how calculating a non-parametric correlation via Kendall's Tau or Spearman's Rho can be stress-free.  Read more...
By Additional Articles 2017/06/20 | Source: SimpleTalk | Category: statistics
Rating: (not yet rated)  Rate this |   Briefcase | 3,066 reads

Scoring Outliers with R

What is normal? More to the point, what is abnormal? We will look at using R to score outliers in a typical monitoring dataset.  Read more...
By Nick Burns 2017/06/19 | Source: SQLServerCentral.com | Category: r language
Rating: |  Discuss |   Briefcase | 677 reads

What is normal? Finding outliers with R

How do you currently set alerting thresholds? What is normal? And more importantly, what is truly abnormal? We will explore these questions.  Read more...
By Nick Burns 2017/06/13 | Source: SQLServerCentral.com | Category: r language
Rating: |  Discuss |   Briefcase | 897 reads

Statistics in SQL: Pearson’s Correlation

Some people will assure you that you can't do any serious statistical calculations in SQL. In the first of a series of articles, Phil factor aims to prove them wrong by explaining how easy it is to calculate Pearson's Product Moment Correlation.  Read more...
By Additional Articles 2017/06/09 | Source: SimpleTalk | Category: statistics
Rating:  Rate this |   Briefcase | 4,116 reads

Can I Use Statistics to Design Indexes?

"I’ve noticed that many indexes in my data warehouse aren’t used frequently. Is there a way to use the automatically generated statistics to make useful indexes?" Kendra Little answers the question in episode 18 of Dear SQL DBA.  Read more...
By Additional Articles 2016/11/15 | Category: statistics
Rating:  Rate this |   Briefcase | 4,360 reads

Introduction to Microsoft R Services in SQL Server 2016

General introduction to R Services in SQL Server 2016 and how R server works with external stored procedure.  Read more...
By Tomaž Kaštrun 2016/09/15 | Source: SQLServerCentral.com | Category: microsoft
Rating: |  Discuss |   Briefcase | 3,112 reads
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