Using #Tableau Buckets To Compare Weekday To Weekend Data
Introduction Whether I’m exploring personal or work-related data, I frequently use a technique that I call “creating Tableau Buckets”.
The Origins and Power of the #Tableau Twitter Database
Introduction Earlier this year I realized that one of the absolutely most powerful features of Tableau is its ability to act as a visual interface to any type of database that I can dream of.
My 50/50 List
Introduction Fifty is the theme for today. This is blog post number 50 and I’m 50 years old. Hence, my 50/50 list.
Where does “normal data” end and “big data” begin with #Tableau?
Introduction I guess you can say that I’ve been on a mission lately to understand and document the performance, capabilities, and limitations of Tableau Desktop software. Today I decided to answer the following question: When is it necessary to switch from a professional workstation to a “big-data platform” to analyze large structured data files with…
How Fast is #Tableau in Reading Structured Data Files?
Introduction I have always liked to benchmark computer programs. For that reason, I thought it would be fun to see how fast Tableau is in reading typical structured data sets that I have used in Process Improvement work. The question I want to specifically answer is: How fast does Tableau read data from a character-separated…
Insights on Using #Tableau Coupled With Amazon #Redshift
Introduction Yesterday and earlier today, I had a chance to experiment with Tableau coupled to Amazon Redshift. What I am about to write isn’t totally comprehensive, but if I had this knowledge yesterday morning, I would have saved a few hours of work. Hopefully this information will save you some time, too, if you try…
Results of a #Tableau Public Publishing Experiment
Introduction Over the past few years of publishing in Tableau Public, I’ve noticed something that I thought would be a good idea to test and document. The concept I wanted to tested was this:
Additional Insight and Clarification of #Tableau Exponential Trend Models
Introduction Earlier this week I wrote a post about how to understand all the Tableau Trend Models. This is a follow-up to that post.
A #Tableau Powered Dashboard for The Rich Roll Podcast Series
Introduction Rich Roll is helping a lot of people to better understand how plant-powered nutrition can improve athletic performance and lead to better overall health and vitality.
A Comparison of Two Image Layering Methods in #Tableau
Introduction Blog posts are great for demonstrating a technique that you have found to be problematic and frustrating. While completing the work for another blog post on understanding Tableau trend models, I ran into a problem in Tableau that I could not easily resolve. I tried to resolve it for a while (even getting into…
A Help Guide for Better Understanding all of #Tableau Trend Models
Introduction I previously wrote about the need for better documentation on Tableau linear trend models. At the time, I was not able to examine the other types of trend models offered by Tableau, which include linear, logarithmic, exponential, and polynomial. This weekend I remembered to get back to the subject, which has lead to content…
I Wish #Tableau Had These Two Capabilities
Background Just because something is trendy, don’t believe that it is good…Follow your own instincts. Donald Knuth, May 2, 2012. Over the past seven years, I have used Tableau Desktop to investigate over 1,000 different data sets. The data I have used is from many different businesses and industries. I have been very lucky to…
#Tableau needs a new type of axis scaling option for charts created using the Pages shelf!
Introduction For years, I have dealt with an intrinsic assumption in Tableau that really hampers my ability to get work done when using the Pages shelf. This assumption makes it nearly impossible to efficiently create publication quality charts when the pages shelf (Figure 1) is used to produce a large number of charts.
How to use #Tableau to clean your data using an iterative z-score approach
Introduction If you work with large, diverse data sets, you know that there will invariably be noise and erroneous data in the database you are using. This is one reason why I treat all data as guilty until proven innocent.
How to Better Understand and Use Linear Trend Models in #Tableau
Introduction Whenever I have a recurring question asked to me about a Tableau Desktop feature, I realize that something is not quite intuitive in the software and needs to be fixed. Such is the case with the Tableau trend models as they are currently described in the software.