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)
6,994 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)
10,442 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)
3,026 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)
4,917 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
1,293 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)
7,965 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
3,899 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
5,618 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
4,100 reads
Blogs
Prime Day Recommendations
By Steve Jones
It’s Prime Day. A few of my recommendations, since I want to do some...
Fabric for Operational Reporting & SQL Endpoint Trap
With Fabric Mirroring, Microsoft is promoting a nice and appealing story for operational reporting...
Crawl, Walk, Run with Agentic Development of Power BI Assets
If you’ve been watching AI roll through the data community and thinking, “this seems...
Forums
SQL Art, Part 4: Happy 4th of July — A British DBA's Guide to Celebrating a War We Don't Talk About
Comments posted to this topic are about the item SQL Art, Part 4: Happy...
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Question of the Day
Multiple Values Inserted
I have this code on SQL Server 2022. What happens when it runs all at once?
DROP TABLE IF EXISTS dbo.Commission GO CREATE TABLE dbo.Commission (id INT NOT NULL IDENTITY(1,1) CONSTRAINT CommissionPK PRIMARY KEY , salesperson VARCHAR(20) , commission VARCHAR(20) ) GO INSERT dbo.Commission ( salesperson, commission) VALUES ( 'Brian', 12 ), ( 'Brian', 'None' ) GOSee possible answers