I can’t even begin to express how deep this article is. It spans decades and it exploded from deep within my brain one day. My life and a long-term study of life is featured in this article.
The story is big, deep and more bloated than I wanted it to be, but sometimes that just happens. I tried but I was not able to cut it down to size without losing meaning. I think if you read it, it will be a thoughtful experience.
This is test #2 of Tableau vs Power BI using real-world data. The goal in this test was to see how each package could visualize flowing water as it moves across the 3D topographic surface of the Livingstone District.
It was the best time of my professional career. The potential good that could come from this work is monumental. Unfortunately, I don’t do this type of work anymore. Such is life.
After a bit of cooperation between friends, I decided to continue the Power BI analysis. We want to document how Power BI stacks-up against the Alteryx + Tableau combination that is so successful at producing great data comprehension and visualizations. This series should be interesting over the next few months as we try to document what it is like to learn Power BI when you are a Power Alteryx and Tableau users.
I have a dream that could be brought to fruition by Microsoft. If you want to know what it is, read the article.
In this article, I compare two working methods for people doing data analytics. I explain the differences in the approaches and why I have switched my working methods from one to the other.
Working on charitable endeavors has its advantages. Sometimes you get to work with data that is so unexpectedly beautiful that it takes your breath away. This happened to me the other day, so I thought I’d share a new Tableau 10 feature called custom regions to show how powerful this feature can be.
Some articles form quickly, some take a long time to gel. Twenty, thirty, forty drafts of this one have not been enough.
I don’t know how I can possibly explain to people who might be interested in learning how to become better workers with data, but I have tried to do it with this writing. I have tried to explain what has taken me 30 years to realize.
This work is borderline philosophical but it is based in experience and backed by my observations on what works and what does not work when it comes to achieving better data comprehension.
Life is a funny thing. One day you are up, the next day you are down. The only question remaining is this: Will Power BI be able to recover from today’s disaster enough to change my opinion of its value?
This is part 3 of 3danim8’s blogging experimental analysis. This article investigates how important speed-burner articles are compared to slow-burners. I can create speed burner articles by writing about Rich Roll, shown above. In contrast to his ultra-endurance performance, these articles fade quickly.
Tableau 10 highlighting can be very useful for big data sets. In this example, I show how highlighting quickly reveals differences in consumer behavior by state. Some of the behavioral difference are caused by the geographical settings the consumers live within.
This is 3danim8 article #200. It took 2 years for me to write the previous 100 articles on the usage of Alteryx plus Tableau. The next 100 articles will go into a deeper exploration of the power of these two tremendous tools to achieve great things.
This article was written in one day in March, 2015, and then forgotten for 1.5 years. Today I revived and revised the manuscript to get this thing out into the blogosphere. One day, I predict, someone will thank me for writing this one.
In Part 2 of my blogging experimental analysis, I use Alteryx coupled with Tableau 10 clustering to perform some text analytics. This work answers a single question related to how certain words can improve blog readership rates.
I have had two unexpected infatuations in the past decade. Not with women, but with software companies?!? How crazy is that? As I continue my blogging mission to help myself and others, I was rewarded today in a way I never expected. This article explains what I mean.