Since Learning QlikView Data Visualization was published, the url to download the SVG map extension created by Brian Munz and highlighted in chapter 7 has changed to https://github.com/brianwmunz/svgReader-QV11.
If you have any questions about the content of the book, don’t hesitate to ask.
See you around,
Packt Publishing is going to be giving away 2 free copies of Learning QlikView Data Visualization this week.
- Explore the basics of data discovery with QlikView
- Perform rank, trend, multivariate, distribution, correlation, geographical, and what-if analysis
- Deploy data visualization best practices for bar, line, scatterplot, heat map, tables, histogram, box plot, and geographical charts
How to Participate
During the last giveaway, I asked for ideas on what data visualizations you would like to add to QlikView. Now, I can’t imagine the development team at QlikTech being able to focus on creating and improving every chart and graph in QlikView, so let’s help them focus on the best data visualization techniques, and therefore leave behind some of the charts and graphs in QlikView that don’t do a good job of helping us discover data.
Continue reading “Let’s do it again! Win a Free Copy of Packt’s Learning QlikView Data Visualization.”
Thanks to all those who responded to my post in QlikCommunity and in this blog about what data visualization they would like to see in QlikView. I learned a few things about what people would love to do in QlikView. Most visualizations that were posted are possible to create in QlikView, but what frustrates many users seems to be the difficulty creating these visualizations through tricks, extensions or third-parties.
I think we can expect great advances in data visualization in QlikView after the company bought NComVA, a company dedicated to data visualization. Along with QlikView’s continuous improvements, I believe it is important to continue creating new and improving existing extensions. There is always going to be a visualization that QlikView cannot create out-of-box, and that’s why extensions are such a key element.
So, enough talking. The winners of the three Learning QlikView Data Visualization e-books are:
- Philipe Grenier
- Rebeca Gums
- Sokkorn Cheav
If you are a winner please send me a message in QlikCommunity with your e-mail address so that I can send you your e-book.
Thanks again for all those who participated.
Hope to see you around,
This week I’m giving away three e-book copies of Learning QlikView Data Visualization. To be eligible to win all you have to do is post what data visualization method you would like to do in QlikView that you have not been able to do until now. It could either be a chart or a technique.
For example, I would like to do be able to do scatterplot matrices like the one below.
Post your idea in LinkedIn, Twitter, Google+, or Facebook. You can either respond to my post or create your own post mentioning me.
Don’t forget to include a link that explains the data visualization method you would like to do in QlikView.
Please respond by Monday, Nov. 4th and I will announce the winners on Wednesday, Nov. 6th after an old-fashioned drawing. Soon after the e-books will be delivered to the winners’ e-mails as a Kindle e-book.
You don’t need a kindle to read the e-book. You can download the kindle application from amazon.com and view it from your laptop or iPad.
Those who have read Learning QlikView Data Visualization may wonder why I didn’t talk about pie charts in the book. Some may even assume that I am a data visualization idealist that tries to deny people’s temptations to create pie charts, but while I do support those idealists, I have created more than a few pie charts in my eight years working with QlikView.
I have strived to create alternate charts that more effectively show a parts-to-whole relationship, but some users with not accept any other chart that is not a pie chart. So, inevitably pie charts sometimes end up in my QlikView applications.
Continue reading “Pie charts or parts-to-whole analysis”