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)
6,964 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)
10,410 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)
2,576 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)
3,008 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)
4,898 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
1,287 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)
7,960 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
3,888 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
5,579 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
4,091 reads
Blogs
SQL Server Journey Part 2: Modern Era (2017 – 2026) – AI/Cloud First
By Vinay Thakur
Following up on my Part 1 baseline, the journey from 2017 onward changed how...
Google Moves Up Post-Quantum Cryptography Timeline
By Brian Kelley
In cryptography, the RSA and ECC algorithms which we use primarily for asymmetric cryptography...
The Book of Redgate: No Politics
By Steve Jones
In today’s world, this might mean something different, but in 2010, we had this...
Forums
Dancing Robot Goes Rogue
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advice as i migrate my winscp based ssis pkg to our prod server
Hi , i installed winscp on my pc, added it to GAC thru vs...
Identities and Sequences II
Comments posted to this topic are about the item Identities and Sequences II
Question of the Day
Identities and Sequences II
In thinking about the differences between the identity property and a sequence object, which of these two guarantees that there are consecutive numbers (according to the increment) inserted in a single table?
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