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)
6,933 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)
10,344 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)
2,561 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)
2,982 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)
4,882 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
1,271 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)
7,954 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
3,869 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
5,547 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
4,071 reads
Blogs
Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution
By Chris Yates
For decades, enterprises have approached data management with the same mindset as someone stuffing...
Truncate Table Pitfalls
Truncate Table Pitfalls Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly....
dataMinds Connect 2025 – Slides & Scripts
You can find all the session materials for the presentation “Indexing for Dummies” that...
Forums
DBCC CHECKIDENT
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Distributed Availability Group Health: T-SQL and Zabbix
Comments posted to this topic are about the item Distributed Availability Group Health: T-SQL...
extended events to spy on our server between 8 and 9 am
Hi, our peer who owns a remote mysql server from which we extract warehouse...
Question of the Day
DBCC CHECKIDENT
What is returned as a result set when I run this command without a new seed value?
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