It summarizes our consulting experience with Qlik and it is targeted to upskill you in Qlik Sense with several practical examples, including building two extensions step-by-step.
1. QlikView Developers transitioning to Qlik Sense (inc. Introduction to Web Development)
The good news is finally out. Qlik has recently acquired Idevio, which is a map add-on for Qlikview and Qlik Sense.
The extension has been rebranded as Qlik GeoAnalytics. The addition of “analytics” in the name is based on the ability of this add-on to bring hidden geographic relationship in the data model.
Qlik GeoAnalytics is at the moment being offered as a separate product. Most of the information hasn’t been migrated to the Qlik.com website so if you would like to know more about it, visit http://www.idevio.com/
Reading the forum, I noticed there’s a need for a document extension that allows you to terminate the session while using Qlikview ajax.
I’ve tried one of the document extensions I found in the forum: http://community.qlik.com/docs/DOC-2853
However, this extension never worked for me so I decided to do my own using the code used by Qlikview Ajax.
After downloading the extension, double click on it.
Make sure the extension is stored in:
I hope you find this useful.
Chord diagram extension object
We all love Qlikview but we know that it doesn’t provide a great selection of charts.
This is why we might need to create extension objects.
We were asked to make a very specific analysis for a client and none of the charts in Qlikview were suitable for this situation. That’s why we made some research in D3 and found the Chord chart that perfectly fitted our purpose.
We needed to analyse mobile phone users and browsers used on desktop. This is, What browser in desktop do iPhone, Samsung, etc users use? We were not very interested in the number of people but we wanted to provide the client with an easy way of visualizing this data and quickly understand the volume or ratio.
Basically, a chord diagram arranges its nodes radially, drawing thick curves between nodes. The thickness of the curve encodes the frequency of rides between two neighborhoods.
This is what a chord chart looks like: Read More…