It has taken me a while to understand something important about Alteryx and Tableau. Each of these products are very sticky. By sticky, I mean that I have become dependent upon them to do a lot of different jobs. They both are great products for different reasons, but the combination of them is hard to beat when working with data.
Germany has been hit harder than a lot of countries by global warming. It has passed the dreaded 2 degree C change in annual temperatures between 1960 and 2017. This article shows how the global warming signals have been detected in Germany.
It is not easy to explain the significance of the global warming work that I am doing. There are times, however, when the data sets align perfectly and I try to use the information to help people understand global warming. Today is one of those days – July 25, 2019.
I have been on a mission for five years. This mission continues to fascinate me as Mother Nature is sharing her secrets with me. I have been working to understand global warming so that I can teach people about what is really happening on our planet. This is my story.
Each day I get to fulfill my analytics dreams. This occurs because of great software from Alteryx, Tableau, and Mapbox, as well as having very talented friends like Allan Walker and Anya A’Hearn. To learn about my latest global warming insights, read this article.
As part of the NFL Big Data Bowl in late 2018, I created a presentation that discusses how I explored game data to uncover insights on how NFL player speed can lead to NFL success. The results weren’t always what I expected them to be!
In Kenny Cool Episode #4, I discuss the various methods available for using the Data Blends Blog.
In Kenny Cool episode #2, I discuss how much fun I recently had working with real NFL data as part of a competition.
Some stories just pop out of my mind. Other stories take time. This one has been forming for the past three months. It should have a subtitle: Why Using Alteryx and Tableau is a lot more fun than using SQL and R.
Global warming has been visualized using world-wide temperature anomaly data. This work uses a pre-computed data set to understand temperature changes over the past 7 decades.
I quantified how much I use Alteryx. I enjoyed doing the study, although it hurt my brain.
This article focuses on efficiently retrieving specific events from big-data sources. Certain techniques are introduced in Alteryx to allow this to happen, including the use of the Calgary Load and Calgary Join tools.
In this article, I benchmark an Alteryx workflow to show how Alteryx can be a very valuable tool in a large enterprise setting.
I’m saying goodbye to 3danim8’s Blog and replacing it with a new website that will be more comprehensive and dynamic. You will have to read this short article to understand why I am doing this.
Years fly by faster than I can believe. In this article, which is number 300 for me, I go back to the beginning of this blog to examine Tableau performance using the new hyper data engine. The results should be very interesting to see.