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)
6,882 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)
10,144 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)
2,503 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)
2,960 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)
4,844 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
1,233 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)
7,927 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
3,808 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
5,414 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
4,031 reads
Blogs
AI Step 1
By Vinay Thakur
As this is an Artificial Intelligence (AI) World, things are changing. We can see that...
Beginner’s Guide: Building a Dockerized Todo App with React, Chakra UI, and Rust for Backend
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A New Word: Nachlophobia
By Steve Jones
nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...
Forums
More Funny SELECTs
Comments posted to this topic are about the item More Funny SELECTs
Reducing the Cycle Time
Comments posted to this topic are about the item Reducing the Cycle Time
SQL Server migration using replication
I've set up replication in my SQL 2019 environment in attempt to migrate SQL...
Question of the Day
More Funny SELECTs
What does this code return?
SELECT
( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
FROM Sales.SalesOrderHeader AS soh
WHERE
soh.OrderDate > '01/01/2011'
AND soh.OrderDate < '01/01/2012') AS OrdersIn2000
, ( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
FROM Sales.SalesOrderHeader AS soh
WHERE
soh.OrderDate > '01/01/2012'
AND soh.OrderDate < '01/01/2013') AS OrdersIn2001
, ( SELECT COUNT (*), MAX(soh.OrderDate) AS latestorder
FROM Sales.SalesOrderHeader AS soh
WHERE
soh.OrderDate > '01/01/2013'
AND soh.OrderDate < '01/01/2014') AS OrdersIn2002;
GO See possible answers