In this short post, I will describe how to show text results from an R script visual in Power BI. Microsoft Idea Today there is already an idea submitted to Microsoft to enable this possibility however this idea does not have a lot of votes so it is not likely to be added anytime soon so then the workaround comes to the rescue! Why do we even need to show text result from an R visual? According to the multiple…
Since 2016 there’s a built-in feature in Power BI that allows us to automatically find clusters within our data.This is a great feature, however, its main drawback is that whenever we add new data into Power BI the clusters need to be manually recalculated for the new data. In this post, I will show how we can implement clustering in Power BI using R and automatically recalculate the clusters whenever we hit the refresh button. What is Clustering Clustering is the…
As of now, in the Power BI Line and Clustered Column chart, we cannot Combine Clustered Columns with Clustered Lines or Markers.
In Power BI the markers all line up over the middle of the cluster instead of overlaying every single column.
So in this short post I share how to create such a visual using R.
In this short post we will see how can step by step create an interactive R custom visual in Power BI Prerequisites Install node.js: Download and Install the latest version of node.js from the node.js website Install R : Download and install the latest version of R from here.Once R is installed I also recommend you to install R Studio the integrated development environment for R. Enable R scripting in Power BI: In Power BI desktop, go to File >…
This article only illustrates the use of t-test in a real life problem but does not provide any technical information on what is T-Test or how T-Test works. I will go through the T-test in details in another post and will link it into this post. Intro I was looking for a cool dataset to illustrate the use of T.test and I found this DataCamp project “Dr. Semmelweis and the discovery of handwashing”. This a straightforward project but I really…
We usually import Data from file into Power BI, but exporting data from Power BI can be very handy when you want to create a custom visual using R. In fact it can be very cumbersome to code your visual directly into the Power BI script editor. Here are few reasons why you should opt for exporting your Power Bi dataset first and re-import it in R to create your visual. Intellisense is not available in Power BI R script…
List of all the filenames One approach I found really straight forward is to create a list of all your filenames. You can also create a pattern to fetch your directory and returns all the matching files. In my example I need to read all the files starting with “FR”. The function lapply (equivalent of a loop) reads every single file presents in my list fileNames and store them into my variable zonnesFiles. The variable zonnesFiles is a list of…
A brief comparison between for loop and vectorization in R A short post to illustrate how vectorization in R is much faster than using the common for loop. In this example I created two vectors a and b witch will take some random numbers. I’ll compute the sum of a and b using the for loop and the vectorization approach and then compare the execution time taken by both of the different methods. I’ll repeat this test 10 times with…
The Central Limit Theorem is probably the most important theorem in statistics. In this post I’ll try to demystify the CLT with clear examples using R. The central limit theorem (CLT) states that given a sufficiently large sample size from a population with a finite level of variance, the mean of all samples from the same population will be approximately equal to the mean of the original population. Furthermore, the CLT states that as you increase the number of samples…
“Ask the right questions, manipulate data sets, and create visualizations to communicate results.” “This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.” The JHU Data Science Specialization is one of…
Using predictive analytics to predict the leavers. The dataset contains the different variables below: Employee satisfaction level Last evaluation Number of projects Average monthly hours Time spent at the company Whether they have had a work accident Whether they have had a promotion in the last 5 years Department Salary Whether the employee has left *This dataset is simulated Download dataset By using the summary function we can obtain the descriptive statistic information of our dataset: Data preparation: Followed by the str function…
Linear regression is probably one of the most well known and used algorithms in machine learning. In this post, I will discuss about how to implement linear regression step by step in R. Let’s first create our dataset in R that contains only one variable “x1” and the variable that we want to predict “y”. #Linear regression single […]