How To Achieve Better Data Comprehension, Part 2
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.
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.
I thought that is would be interesting to compare Google Analytics to Wordpress Analytics. I expected these platforms would produce nearly identical data. What I found, however, was much different than my expectation. The research for this work will need to continue.
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.
When you present your data to Tableau, it is possible to fool the data interpreter. When this happens to you, you can become frustrated. To learn how to understand and then resolve the problem, just read this article.
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 story goes back to the 1970’s, the 1990’s, and the 2010’s. It contains references to the famous John Travolta and naming popularity. It is a cool story, at least I think so.
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.
The Grossery Gang is a toy collection that was released this month (July 2016). My 4-yr old son, Jett, is totally mesmerized with this collection. This story is the beginning of our journey with Tableau and the Grossery Gang.
When I teach Tableau, I hit the wall. It happens to me every time. For this reason I am now asking myself: “Am I going insane?”.
The Tableau Desktop software development history exhibits several salient features that indicate excellent strategy, planning, vision, execution, and dogged determination. In this article, I explain why I believe this statement is true.
This article describes some concepts and methods I use when building more advanced workflows. In some ways, writing workflows is analogous to writing computer programs. You have think critically about what you want to accomplish. By breaking the problem down into small pieces and solving those, complex workflows become more manageable.