How To Use Trend Line in Analytics Pane in Power BI?

This recipe helps you use Trend Line in Analytics Pane in power bi

Objective For ‘How to Use Trend Line of Analytics Pane in Power BI?’

This step-by-step recipe will help you learn how to find the Sales trend by Order date and use the Power BI trend line on Line chart.

What is A Trend Line in Power BI?

A trend line Power BI is a line fitted to a set of data points to show the general direction of the data. A Power BI trend line can forecast future values, identify trends, and make better business decisions. The type of trend line (Linear, Exponential, Quadratic, etc.) that you choose will depend on the type of data you have and the purpose of the trend line. 

How To Add A Trend Line in Power BI?

This section will help you better understand the Power BI Line Chart Trend Line usage.

The following steps will show you how to add trend line in Power BI Analytics Pane:

Step 1 - Open the Power BI report

Step 2 - Add a 'Line chart' visual in the Power BI report

To add 'Line chart,' go to the Visualization pane -> Drag and drop the 'Line chart' visual in the Power BI report.

Step 3 - Add fields into the 'Line chart' visual

Put 'Order Date' in the Axis field and 'Sales' in the Values field.

Step 4 - Power BI Add Trend Line on 'Line chart' visual

Select visual, go to Visualization Area -> Analytics -> Trend Line -> Add

This way, we can add Trend Line to Power BI chart.

FAQs on How to Add Trendline in Power BI

  1. How to change the type of Power BI trendline?

To change the type of trendline Power BI, select the visualization, go to the 'Analytics' tab, click on the existing trend line, and choose a new type from the options like linear, exponential, polynomial, etc.

  1. How to customize the trendline in Power BI?

To customize a trendline in Power BI, select the visualization, access the 'Analytics' tab, click on the trend line, and modify its properties like color, thickness, and style using the formatting options. This allows you to tailor the trend line according to your preferences and visualization requirements.

  1. How to remove a Power BI trendline from a chart?

To remove a PowerBI trendline from a chart, open the visualization, navigate to the 'Analytics' tab, locate the trend line, and simply click the 'Remove' or 'Delete' option. This action will eliminate the trend line from the chart, leaving you with the original data representation.

 

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

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.

Recommender System Machine Learning Project for Beginners-2
Recommender System Machine Learning Project for Beginners Part 2- Learn how to build a recommender system for market basket analysis using association rule mining.

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.

Classification Projects on Machine Learning for Beginners - 2
Learn to implement various ensemble techniques to predict license status for a given business.

Build Time Series Models for Gaussian Processes in Python
Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python

ML Model Deployment on AWS for Customer Churn Prediction
MLOps Project-Deploy Machine Learning Model to Production Python on AWS for Customer Churn Prediction

Build Multi Class Text Classification Models with RNN and LSTM
In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.

Azure Deep Learning-Deploy RNN CNN models for TimeSeries
In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.

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.

Many-to-One LSTM for Sentiment Analysis and Text Generation
In this LSTM Project , you will build develop a sentiment detection model using many-to-one LSTMs for accurate prediction of sentiment labels in airline text reviews. Additionally, we will also train many-to-one LSTMs on 'Alice's Adventures in Wonderland' to generate contextually relevant text.