Understanding the TIMELINE in DAX Studio - Guy in a Cube
We brought Marco in to help explain the TIMELINE update within DAX Studio. This can help you understand performance a bit deeper when optimizing your DAX and models. This is one to watch! DAX Studio https://daxstudio.org Marco Russo Tweets by marcorus https://www.linkedin.com/in/sqlbi/ https://sqlbi.com Optimizing DAX Video Course https://www.sqlbi.com/p/optimizing-dax-video-course/
How to manage “Reporting Objects” in a Power BI Dataset — DATA GOBLINS
In this article, we tackle the growing issue of ‘report-specific objects’, dataset measures and tables created to fill specific report visual requirements, why they negatively impact self-service users, and best practices to mitigate this impact.
KPI trend indicators on Core Visuals - EXPLORATIONS IN DATA STORYTELLING WITH POWER BI
With the February and March 2023 Desktop releases comes more features enabling us to enhance our KPI visualisations out of the box. This article talks specifically to the DAX function LINEST() and the new Subtitle and Dividers formatting options. For a simple enhancement, we can add the divider to KPI Cards, without title and subtitle,… Continue reading KPI trend indicators on Core Visuals
Table and column references using DAX variables - SQLBI
This article describes how to correctly use column references when manipulating tables assigned to DAX variables, avoiding syntax errors and making the code
This article describes how to use DAX Studio to capture DAX queries generated by Power BI. Analyzing DAX queries can be helpful to better understand perform
Introduction Mean Time Between Failure (MTBF) is a common term and concept used in equipment and plant maintenance contexts. In addition, MTBF is an important consideration in the development of products. MTBF, along with other maintenance, repair and reliability information, can be extremely valuab...
Greetings, I have a table of municipal water consumption records. I'm trying to create a monthly average of gallons used by residents. I need to filter the table by Rate Class = "Residential." Looks easy enough, but my DAX calcs seem wrong. Here's the DAX: Avg Monthly Vol Residential:=CALCULATE(...
Hi Community, I've one question, maybe a silly one, but I already wasted some time trying to solve the following requirement... I've the following very simple star schema model in my PBI file, and what I want to do is to roll up the value measure per Country Name... I'm able to roll up the value...
May be a MEASURE instead of a column would handle memory better. Try this MEASURE Time Difference Measure = VAR NextRow = CALCULATE ( MIN ( TableName[Date/Time] ), FILTER ( ALL ( TableName ), TableName[Date/Time] SELECTEDVALUE ( TableName[Date/Time] ...
This builds off of my original article here: https://community.powerbi.com/t5/Community-Blog/Correlation-Seasonality-and-Forecasting-with-Power-BI/ba-p/14147 and 's take on that approach here: https://community.powerbi.com/t5/Quick-Measures-Gallery/Correlation-coefficient/m-p/196274 To introduce...
Detail Row Expressions Detail row expressions is one of the top new features of Analysis Services 2017 (1400 Compatibility Level) as it provides the equivalent of a drillthrough action for users to…
While on a recent project I needed to build a variation of the DAX date table. In my previous post, found here Creating DAX Date Tables I was built a date table for every day of the month for mult…
Level: Intermediate–Advanced I have covered the topic of Lineage in DAX a few times in the past (within other articles). Today I thought I would write a single post dedicated to lineage. As you may kn…
Jittered Scatter Charts in Power BI via DAX and Power Query - PowerPivotPro
Wham! It's a hands-on technique! In a recent post, I hinted that I’d be using the Football Project V2 as my “platform” for some future techniques-oriented
SUMMARIZE() & ADDCOLUMNS() aren’t scary… if you can SEE them! - PowerPivotPro
I remember feeling that way, Mr. Badger, but they’re simple… if you can SEE them! Have you ever needed to SUMX() over the values in more than one column? S
Hi , In this scenario, the formula below should work. :smileyhappy: _Release Count = CALCULATE ( COUNT ( 'Release Count'[Personnel Number] ), FILTER ( ALL ( 'Month Year'[Date] ), 'Month Year'[Date]
This article shows a technique in DAX to compute the sales volume of products that were available right from the beginning of a selected time period, ignori