How to Use Analytics Pane in Power BI

This recipe helps you Use Analytics Pane in Power BI

Recipe Objective - How to Use Analytics Pane in Power BI?

Analytics Pane in Power BI allows us to add dynamic reference lines to visuals and focus on important trends or insights.

Step 1 - Open Power BI report

Step 2 - Select visual on which we want to apply analytics

Step 3 - Apply Analytics

To apply, go to Visualization area -> Analytics -> Select an option

Several options are available, such as Trend Line, Constant Line, Average Line, Min Line, Max Line, etc.

In this way, we can use Analytics Pane in Power BI.

What Users are saying..

profile image

Ed Godalle

Director Data Analytics at EY / EY Tech
linkedin profile url

I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

Relevant Projects

Build a Multi-Class Classification Model in Python on Saturn Cloud
In this machine learning classification project, you will build a multi-class classification model in Python on Saturn Cloud to predict the license status of a business.

Build an Image Segmentation Model using Amazon SageMaker
In this Machine Learning Project, you will learn to implement the UNet Architecture and build an Image Segmentation Model using Amazon SageMaker

Build CNN for Image Colorization using Deep Transfer Learning
Image Processing Project -Train a model for colorization to make grayscale images colorful using convolutional autoencoders.

Predictive Analytics Project for Working Capital Optimization
In this Predictive Analytics Project, you will build a model to accurately forecast the timing of customer and supplier payments for optimizing working capital.

Build a Hybrid Recommender System in Python using LightFM
In this Recommender System project, you will build a hybrid recommender system in Python using LightFM .

Ola Bike Rides Request Demand Forecast
Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.

Linear Regression Model Project in Python for Beginners Part 2
Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.

End-to-End Snowflake Healthcare Analytics Project on AWS-1
In this Snowflake Healthcare Analytics Project, you will leverage Snowflake on AWS to predict patient length of stay (LOS) in hospitals. The prediction of LOS can help in efficient resource allocation, lower the risk of staff/visitor infections, and improve overall hospital functioning.

Build a Graph Based Recommendation System in Python -Part 1
Python Recommender Systems Project - Learn to build a graph based recommendation system in eCommerce to recommend products.