QlikView for Data Analyst – QlikView – Web File

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

As a data analyst, you may need to work with data stored in various formats and from multiple sources. QlikView, a Business Intelligence tool, makes it easy for you to work with data from web sources, like websites or web APIs. In this article, we will be exploring how to work with web files in QlikView.

First, let’s define what we mean by “web file”. A web file is a file that is stored on a server and can be accessed through a web browser. This can be in the form of an HTML page, a CSV file, or a JSON file, among others.

To work with web files in QlikView, you will need to connect to the web file and load the data into QlikView. You can do this by using the “Web File” option in the “File” menu.

In the “Web File” dialog box, you will be prompted to enter the URL of the web file that you want to connect to. You can also specify if you want to load the data directly or if you want to save the data to a file first.

Once you have connected to the web file, you will be able to preview the data in the “Preview” tab. You can also select the columns that you want to load into QlikView and specify how the data should be interpreted.

In QlikView, you can work with web files in the same way that you would work with any other type of file. You can create charts, tables, and other visualizations using the data, as well as perform data analysis and manipulate the data as needed.

One of the benefits of using QlikView with web files is that the data is always up-to-date. QlikView automatically refreshes the data whenever you open the file, so you always have the most recent data available.

In conclusion, working with web files in QlikView is a straightforward process that can help you get the data you need to make informed decisions. Whether you’re working with a CSV file stored on a website or a JSON file from a web API, QlikView makes it easy for you to access, analyze, and visualize your data.

QlikView for Data Analyst – QlikView – Web File

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [1.00 MB]

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!