What is the use of Table Viewer in QlikView

This recipe explains what is the use of Table Viewer in QlikView

Recipe Objective:-What is the use of Table Viewer in QlikView?

Step 1:-

Open QlikView 12 software. Here a Start page will, by default available; if we do not want we can also untick the check box given 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.

Get Access to Plant Species Identification Project using Machine Learning

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.

Step 4:-

Now from Main Sheet->Press Ctrl+E or Go to Edit Script window->From the Menu bar of Edit script click on Table viewer option, it basically looks like table a symbol->Then click on Ok->The source table view and the internal table view option can also be selected from the Menu bar, to see the table content/fields.

Step 5:-

Thus the Table viewer with Field names/Column names can be immediately seen in the Edit script window.

What Users are saying..

profile image

Gautam Vermani

Data Consultant at Confidential
linkedin profile url

Having worked in the field of Data Science, I wanted to explore how I can implement projects in other domains, So I thought of connecting with ProjectPro. A project that helped me absorb this topic... Read More

Relevant Projects

Langchain Project for Customer Support App in Python
In this LLM Project, you will learn how to enhance customer support interactions through Large Language Models (LLMs), enabling intelligent, context-aware responses. This Langchain project aims to seamlessly integrate LLM technology with databases, PDF knowledge bases, and audio processing agents to create a comprehensive customer support application.

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 .

House Price Prediction Project using Machine Learning in Python
Use the Zillow Zestimate Dataset to build a machine learning model for house price prediction.

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.

Isolation Forest Model and LOF for Anomaly Detection in Python
Credit Card Fraud Detection Project - Build an Isolation Forest Model and Local Outlier Factor (LOF) in Python to identify fraudulent credit card transactions.

Build Classification Algorithms for Digital Transformation[Banking]
Implement a machine learning approach using various classification techniques in Python to examine the digitalisation process of bank customers.

Learn How to Build PyTorch Neural Networks from Scratch
In this deep learning project, you will learn how to build PyTorch neural networks from scratch.

PyCaret Project to Build and Deploy an ML App using Streamlit
In this PyCaret Project, you will build a customer segmentation model with PyCaret and deploy the machine learning application using Streamlit.

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