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)
6,950 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)
10,387 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)
2,569 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)
2,986 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)
4,893 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
1,282 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)
7,958 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
3,885 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
5,567 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
4,086 reads
Blogs
Learn Better: Pause to Review More
By Brian Kelley
If you want to learn better, pause more in your learning to intentionally review.
Azure SQL Managed Instance Next-Gen: Bring on the IOPS
By John
If you’ve used Azure SQL Managed Instance General Purpose, you know the drill: to...
SQL, MDX, DAX – the languages of data
By DataOnWheels
Ramblings of a retired data architect Let me start by saying that I have...
Forums
Two foreign keys to the same table. Can't cascade deletes.
Not sure if this is really a relational theory question but it seems about...
Connecting Power BI to SSAS and effective user not working
Hi everyone, Below is a consolidated summary of what we validated Architecture & data...
High Availability setup - has anyone seen this method?
Hi all, I recently moved to a new employer who have their HA setup...
Question of the Day
Encoding URLs
I have this data in a SQL Server 2025 table:
CREATE TABLE Response ( ResponseID INT NOT NULL CONSTRAINT ResponsePK PRIMARY KEY , ResponseVal VARBINARY(5000) ) GOIf I want to get a value from this table that I can add to a URL in a browser, which of these code items produces a result I can use? See possible answers