How to change the Shadow intensity of a chart in QlikView

This recipe helps you change the Shadow intensity of a chart in QlikView

Recipe Objective:-How to change the Shadow intensity of a chart in QlikView?

Step 1:-

Open QlikView 12 software. Here, a Start page will be available by default; if we do not want it, we can also untick the check box below and avoid the start page while launching QlikView every time.

Step 2:-

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

Step 3:-

When the QlikView 12 Software gets Open, A blank window appears. Go to menu bar->click on File menu->click on New-> The Main sheet appears, Again go to menu bar->click on File menu->click on Edit script or we can also type Ctrl+E->Go to Table Files->Load the data source->here an excel file named as "Office City Sales" is being loaded and Select "Office City Sales" table->Now click on Reload button from the menu bar and save the file, So that data will also get loaded in sheet.

Access House Price Prediction Project using Machine Learning with Source Code

Step 4:-

Now from Main Sheet->Right click->New sheet object->Chart->Line chart->Select Dimension as "Market and State" also select "Office city sales" table->under Expression tab->Select "Sum" Aggregation->Select Table as "Office City Sales" table->Select Field as "Office Sales"->Click on Paste->Ok->then click on Next->Next->Next->Finish.The Line chart will be then available in the Main sheet/QlikView Document.

Step 5:-

Now go to Line chart in the Main sheet->Right click->Properties->Layout tab->Go to the Shadow intensity option->Select "Medium" shadow intensity->Click on Apply and Ok->We can change the shadow intensity as per our requirement.

Step 6:-

Therefore, the Line chart with changed shadow intensity 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 Piecewise and Spline Regression Models in Python
In this Regression Project, you will learn how to build a piecewise and spline regression model from scratch in Python to predict the points scored by a sports team.

NLP Project to Build a Resume Parser in Python using Spacy
Use the popular Spacy NLP python library for OCR and text classification to build a Resume Parser in Python.

Text Classification with Transformers-RoBERTa and XLNet Model
In this machine learning project, you will learn how to load, fine tune and evaluate various transformer models for text classification tasks.

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.

Hands-On Approach to Causal Inference in Machine Learning
In this Machine Learning Project, you will learn to implement various causal inference techniques in Python to determine, how effective the sprinkler is in making the grass wet.

Build CI/CD Pipeline for Machine Learning Projects using Jenkins
In this project, you will learn how to create a CI/CD pipeline for a search engine application using Jenkins.

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

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

Image Classification Model using Transfer Learning in PyTorch
In this PyTorch Project, you will build an image classification model in PyTorch using the ResNet pre-trained model.

End-to-End Snowflake Healthcare Analytics Project on AWS-2
In this AWS Snowflake project, you will build an end to end retraining pipeline by checking Data and Model Drift and learn how to redeploy the model if needed