How to make a line chart in Powerbi

This recipe helps you make a line chart in Powerbi

Recipe Objective - How to make a line chart in Powerbi

Step 1 - Definition of line chart

Line chart is a chart in which the data is displayed as a series of the data points which are called the Markers and there markers are connected by a straight line segments.

Note - The dataset that we are going to use is "AirBnb" data in our previous video "How to make a Stacked column chart" we have given a detailed explanation about the dataset.

Build Expedia Hotel Recommendation System using Machine Learning

Step 2 - What output we are expecting?

So, we want to see the "Apartment prices according to neighbourhood".

Step 3 - Drag and Drop the columns

Drag and drop the "Neighbourhood" column onto the task window and do the same thing with "Price" column

Step 4 - Make line chart

So for making line chart we have to the visualization pane and from there select "line chart" which will convert the default chart into line chart

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Build Regression Models in Python for House Price Prediction
In this Machine Learning Regression project, you will build and evaluate various regression models in Python for house price prediction.

Locality Sensitive Hashing Python Code for Look-Alike Modelling
In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.

Build a Multi Class Image Classification Model Python using CNN
This project explains How to build a Sequential Model that can perform Multi Class Image Classification in Python using CNN

Model Deployment on GCP using Streamlit for Resume Parsing
Perform model deployment on GCP for resume parsing model using Streamlit App.

Build a Similar Images Finder with Python, Keras, and Tensorflow
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

AWS MLOps Project to Deploy a Classification Model [Banking]
In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.

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.

BigMart Sales Prediction ML Project in Python
The goal of the BigMart Sales Prediction ML project is to build and evaluate different predictive models and determine the sales of each product at a store.

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.