Loading Data using R and PowerBI
I'm not a fan of R visuals in PowerBI. I recently learned I can use R to load data and native PowerBI visuals to display the data. Here's how.
2022-05-27 (first published: 2017-10-16)
7,005 reads
Nick Burns
Pattern Recognition via Principal Components Analysis
We'll look at using principal components analysis to help visualise your data and detect underlying structure or patterns.
2019-10-25 (first published: 2017-09-12)
10,453 reads
Moving beyond principal components analysis
Principal components analysis is a standard, but usually terrible, technique for visualising complex data. We're using network diagrams to solve this problem.
2019-10-11 (first published: 2017-09-19)
2,584 reads
Real-time moving averages for IoT with R
Computing an average over all your data is easy, but what if your data arrives incrementally and you need to be able to compute real-time averages on the fly? That's what we are going to look at.
2019-10-04 (first published: 2017-10-02)
3,030 reads
Configuring R Services in SQL Server 2016
R Services provides in-database analytics in SQL Server 2016. In this article we step through configuring R Services and get you started with in-database analytics.
2018-05-28 (first published: 2016-01-27)
4,925 reads
The Shortcomings of Predictive Accuracy
In prediction, accuracy is key. But it's not all it's cracked up to be as we will explore.
2017-09-07
1,299 reads
Analysing Sales Patterns: R + SQL Server
We show how to use RevolutionR to analyse & visualise purchasing behaviours in AdventureWorksDW2012.
2017-08-18 (first published: 2015-12-15)
7,967 reads
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.
2017-07-05
3,903 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?
2017-06-29
5,625 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.
2017-06-19
4,103 reads
Blogs
Day of Data Baton Rouge Slides and Code
By Steve Jones
Thanks to everyone for attending my talk today at Day of data Baton Rouge...
Using Claude Code as a Database SRE Agent with the Everpure Fusion MCP Server
Here’s the scenario: one of my SQL Server instances migrated to the DR array....
The Book of Redgate: Products
By Steve Jones
We are product focused at Redgate Software. Here is another of our values that...
Forums
The SQL Server 2016 Plan
Comments posted to this topic are about the item The SQL Server 2016 Plan
whats that ssis analyzer product that documents lineage
hi, a few years ago was at a very large company that bought a...
Implicit Conversions Cripple SQL Server
Comments posted to this topic are about the item Implicit Conversions Cripple SQL Server
Question of the Day
BIT_COUNT() III
In SQL Server 2025, I run this code:
select bit_count(-1)What is returned? See possible answers