What are KEEPFILTERS and REMOVEFILTERS functions in power bi

This recipe explains what are KEEPFILTERS and REMOVEFILTERS functions in power bi

Recipe Objective - What are KEEPFILTERS and REMOVEFILTERS functions in Power BI?

KEEPFILTERS - Modifies how filters are applied while evaluating a CALCULATE or CALCULATETABLE function.

REMOVEFILTERS - Clear filters from the specified tables or columns.

Syntax of KEEPFILTERS -

KEEPFILTERS(expression)

Parameters -

expression - Any expression.

It returns a table of values.

Syntax of REMOVEFILTERS -

REMOVEFILTERS([table | column, [column, [column,[…]]]])

Parameters -

table - The table that you want to clear filters on.

column - The column that you want to clear filters on.

In this way, we can use KEEPFILTERS and REMOVEFILTERS functions in Power BI.

What Users are saying..

profile image

Savvy Sahai

Data Science Intern, Capgemini
linkedin profile url

As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take. Very few ways to do it are Google, YouTube, etc. I was one of... Read More

Relevant Projects

Create Your First Chatbot with RASA NLU Model and Python
Learn the basic aspects of chatbot development and open source conversational AI RASA to create a simple AI powered chatbot on your own.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Deep Learning Project for Beginners with Source Code Part 1
Learn to implement deep neural networks in Python .

NLP Project on LDA Topic Modelling Python using RACE Dataset
Use the RACE dataset to extract a dominant topic from each document and perform LDA topic modeling in python.

FEAST Feature Store Example for Scaling Machine Learning
FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.

Learn to Build a Polynomial Regression Model from Scratch
In this Machine Learning Regression project, you will learn to build a polynomial regression model to predict points scored by the sports team.

Learn to Build an End-to-End Machine Learning Pipeline - Part 2
In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, incorporating Hopsworks' feature store and Weights and Biases for model experimentation.

MLOps Project to Build Search Relevancy Algorithm with SBERT
In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.

Personalized Medicine: Redefining Cancer Treatment
In this Personalized Medicine Machine Learning Project you will learn to classify genetic mutations on the basis of medical literature into 9 classes.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.