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Threshold Bar Chart + Christmas Card

One of the biggest problems about being a QlikView Developer is that every time you see an interesting visualization, you immediately start wondering how you can use it in your own dashboards. For instance, a couple of days ago, I was wandering around in Twitter when I saw a message which, apparently, had something to do with the quality of the air in Berlin (sorry, but my German is not very good).

TBC_Twitter

As you can see, the structure of this chart is not overly complex: classic bar chart using a time dimension and a standard expression. However, a simple visual cue composed by a reference line and a different color makes it easier to identify where (of in this case, when) an element surpasses the threshold. In my opinion, it is an elegant and useful way to present data.

Since I didn’t have access to this particular data set, I decided to work with a sales QVD from one of the projects I’m currently working on and, after spending a few minutes in QlikView, this was the result:

TBC_1

I don’t know if this kind of representation has an official name, but I called it “Threshold Bar Chart” <<Patent pending>>. I know… I’m awful at naming things so, if you have a better title, be sure to share it in the comments section! As usual, you can download the QVW with the final chart here. The recipe is simple:

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Creating Stunning Dashboards with QlikView

It’s been a while since the last time I shared a post here, but believe me, I have a great excuse! Over the last few weeks, I’ve been working very hard with the guys from Packt Publishing on a book that covers two of my favorite topics: dashboards and data visualization. So, without further ado, I gladly present you “Creating Stunning Dashboards with QlikView”.

Cover

This tome guides you through the process of creating effective and engaging dashboards that deliver tangible value to the business. Throughout its chapters, you will learn how to apply some of the best practices in the field of data visualization, create a robust navigation schema, work with colors, choose the best chart types for each scenario and many other things that will help you create useful applications that will uncover all the stories behind your data.

Though you might think that this is the average “do this, do that” handbook, this publication was written much like my blog; it contains technical stuff, best practices, opinions, tutorials and even some humor. However, this time I had an amazing group of people that helped me out: Larissa Pinto, Priyanka Mehta, Shruti Iyer and Parag Topre from Packt; Hakan Hansson, Speros Kokenes, Mark O’Donovan and Karl Pover in charge of the technical review and QlikView All-Star Bill Lay who was kind enough to write the foreword.

PACKT LogoAmazon LogoBarnes Noble Logo

 

If you want to know more about this book, go to its section in this site (you didn’t know there were other pages in this blog right? Surprise!!!). Although Amazon usually delivers faster, I prefer Packt because you have immediate access to the digital version in multiple formats*

Subpages

I really like the end result, and I hope you find it useful and have a good time reading it, so be sure to check it out. Also, don’t forget to share your thoughts about it, I’ll be looking forward to hearing your feedback!

Hope to see you around,

Julian Villafuerte