Browsed byAuthor: Ben

Hide tables in Power BI

Hide tables in Power BI

It is possible to hide tables in Power BI by using the “Hide in report view” option, however, if a user downloads the PBIX file this is still possible to view hidden tables or to unhide tables and this is also true for the reports with a live connection to SSAS or PBI dataset. In this post, I’m going to show another way to hide tables in Power BI which prevents users or anyone to view the hidden tables. Hide…

Retrieve the MDX queries generated by Excel

Retrieve the MDX queries generated by Excel

When we use Excel to interact with an SSAS tabular model or a Power BI dataset via Analyze in Excel, Excel generates MDX queries which are then sent to the SSAS engine.So whenever a user is complaining about a pivot table connected to an SSAS or PBI dataset being too slow or showing wrong figures we may need to retrieve the MDX queries generated by Excel to investigate the issue. There are several ways to retrieve the MDX queries generated…

Univariate Statistics DAX Cheatsheet

Univariate Statistics DAX Cheatsheet

In this small post, I’m sharing and will keep up to date the list of the most common univariate statistics DAX functions available in Power BI, as of now most of them are built-in functions but the more complex ones still require writing some Dax code. I’m sharing this through a Power Bi app where we can simply copy/paste the DAX code of the selected function. The Power BI

Correlation Coefficient in Power BI using DAX

Correlation Coefficient in Power BI using DAX

In this post, I will describe what is the Pearson correlation coefficient and how to implement it in Power BI using DAX. What is Correlation Coefficient The correlation coefficient is a statistical measure of the relationship between two variables; the values range between -1 and 1. A correlation of -1 shows a perfect negative correlation, a correlation of 1 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. How to interpret…

Poisson Distribution in Power BI with DAX

Poisson Distribution in Power BI with DAX

In statistics, a Poisson distribution is a probability distribution that is used to show how many times an event is likely to occur in a fixed interval of time or space. In other words, it is the distribution for the counts of events that occur randomly in a given interval of time. It was named after French mathematician Siméon Denis Poisson. In this post, I’m going to describe how to implement the Poisson Distribution in Power BI with DAX. The Poisson distribution can be applied…

Skewness and Kurtosis in Power BI with DAX

Skewness and Kurtosis in Power BI with DAX

In this post, I will describe what Skewness and Kurtosis are, where to use them and how to write their formula in DAX. What is Skewness Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the centre point. For a unimodal (one mode only) distribution, negative skew commonly indicates that the tail is on the left side of the distribution, and positive skew…

Performance Benefits of Partitioning in Analysis Services Tabular

Performance Benefits of Partitioning in Analysis Services Tabular

I previously wrote a post on how to dynamically partitioning tables in SSAS tabular using SQL, but in this short post, I will focus on the performance side of partitioning. What is Partition Partitions split a table into logical partition objects. Each partition contains a portion of the data, partitions can be processed in parallel independent of other partitions or excluded from processing operations if they don’t need to be refreshed. Why partitioning improves the refresh performance The main reason…

Dynamically partitioning tables in SSAS Tabular model using SQL

Dynamically partitioning tables in SSAS Tabular model using SQL

In this post, I describe how we can dynamically partitioning tables in SSAS tabular using SQL.This approach works well for most of the simple scenarios where we need to keep control over the number of partitions to refresh on a daily basis or any frequencies. What is partition Partitions split a table into logical partition objects. Each partition contains a portion of the data, partitions can be processed in parallel independent of other partitions or excluded from processing operations if…

Clustering in Power BI using R

Clustering in Power BI using R

Since 2016 there’s a built-in feature in Power BI that allows us to automatically find cluster 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…

Bootstrap analysis with Power BI

Bootstrap analysis with Power BI

In this post, I share how to perform a bootstrap analysis with Power BI and briefly introduce what is bootstrapping and when to use it.

Data Dictionary Using DMV Queries

Data Dictionary Using DMV Queries

In this short post, I show how we can integrate a data dictionary using DMV queries within an SSAS tabular model and why we should do so. Why should we have a Data Dictionary within our model? The more complex a model becomes the more documentation we need to have about it. The more measures and complex formulas we have in a model the more calls/questions we have from end-users and thus the less time we can spend on getting…

Power BI pass parameter value to python script

Power BI pass parameter value to python script

In Power BI Desktop with Query Editor we can perform advanced custom transformation using Python or R script.

In this short post, I show how we can pass parameters to python script.