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)
6,996 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)
10,445 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)
3,029 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)
4,924 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
1,295 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)
7,966 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
3,902 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
5,623 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
4,101 reads
Blogs
Capturing My Own Metrics: #SQLNewBlogger
By Steve Jones
A customer was trying to compare two tables and capture a state as a...
Red Flags in Your Query (T-SQL Tuesday #200)
By Zikato
When I'm looking at a query, I bet it's bad if I see... a...
T-SQL Tuesday #200: When I Look at a Query …
By Steve Jones
This month is a milestone for T-SQL Tuesday. It’s number 200, which doesn’t sound...
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A Quick Second Opinion
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Five Intelligent Query Processing Features in SQL Server 2022 That Quietly Tune Your Workload
Comments posted to this topic are about the item Five Intelligent Query Processing Features...
Question of the Day
Checking the Error Log I
On my SQL Server 2025, I want to search the error log from my T-SQL code for potential issues and then inform an administrator. What is the current way to easily query the error log?
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