How to create a pie chart in QlikView

This recipe helps you create a pie chart in QlikView

Recipe Objective: How to create a pie chart in QlikView?

Step 1:

Open QlikView 12 software.  By default, the start page will open. To avoid the start page while launching QlikView, untick the check box at the bottom of the window.

Step 2:

On the start page, we can see the Examples, Recent, and Favorites tab. The saved files will appear under the Recent tab.

Learn to Implement Deep Learning Techniques for Medical Image Segmentation

Step 3:

On the bottom New Document option is available. By clicking on the New Document option, a Wizard will get opened.

Step 4:

Now Select Data Source->Click on Browse->Select file from the folder, here an excel file named as "Sales 2017" is being selected->then click on Next step. Data Presentation tab will be skipped as the visualization chart is a Pie chart, then click on the Next step option and Save the file at a location/folder with the name of choice; here, the file name is given as "qlik6", then again click on Next step option.

Step 5:

Now under the Chart type tab, Select the Pie chart->click on Next step option->Populate Chart->Select Dimension as "Area"->under Expression tab select->Calculate sum of->Sales Done, then click on Next step option.

Step 6:

Now under the Selections tab->Select Listboxes->Create.The Pie Chart with Listboxes will be available in the Main sheet/QlikView Document.

What Users are saying..

profile image

Ameeruddin Mohammed

ETL (Abintio) developer at IBM
linkedin profile url

I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More

Relevant Projects

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 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.

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

BERT Text Classification using DistilBERT and ALBERT Models
This Project Explains how to perform Text Classification using ALBERT and DistilBERT

Build Real Estate Price Prediction Model with NLP and FastAPI
In this Real Estate Price Prediction Project, you will learn to build a real estate price prediction machine learning model and deploy it on Heroku using FastAPI Framework.

Build Deep Autoencoders Model for Anomaly Detection in Python
In this deep learning project , you will build and deploy a deep autoencoders model using Flask.

Recommender System Machine Learning Project for Beginners-1
Recommender System Machine Learning Project for Beginners - Learn how to design, implement and train a rule-based recommender system in Python

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Build a Face Recognition System in Python using FaceNet
In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face.

Build a Credit Default Risk Prediction Model with LightGBM
In this Machine Learning Project, you will build a classification model for default prediction with LightGBM.