Arnold has at least five different variations. I can detect that the Approver field has inconsistencies that need to be cleaned because C. I can see that it takes anywhere from zero (0) to seven (7) days for an item to ship, with four (4) days being most common. I can tell that most orders are not returned due to the high No count in the Returned? column. But now, Tableau Prep has given me a way to perform much of this exploration.įor example, in the image below, I can see that there are only three product categories, making it an excellent candidate to slice or filter data. In the past, I used the Data Discovery feature in Power Tools for Tableau Desktop by InterWorks, Inc. ![]() Answering these questions directly in Tableau Desktop is time consuming. What is the primary key? Are there columns that are mostly null? What does the value distribution of a measure look like? So on and so forth. As a consultant, I am always being given new datasets to work with that I must quickly understand in order to begin dashboard development. The first thing I noticed was the data exploration features in the profile pane. I recently had some time between client engagements and decided to give Tableau Prep a more thorough examination. I could see how Tableau Prep would be helpful in a narrow set of circumstances, but I thought it wasn’t that impressive or useful of a tool altogether. It didn’t do enough data science to replace Alteryx or Dataiku, and it didn’t do enough data reshaping and iteration to fully replace SQL queries/views or any other scripting language. Furthermore, it didn’t seem to do enough other things to replace any of the tools I was already using. It mostly seemed to do what Tableau Desktop was already capable of doing. To be honest, I was a little underwhelmed after my first look at the tool and reading up on some reviews. At that time, though, I briefly left the Tableau world to do some non-profit work, but when I returned a year later, I was excited to learn what Tableau Prep had become. When Tableau initially introduced Tableau Prep, I was hopeful that maybe it would replace the need for so many other tools. This means that sometimes I view a new tool as more of a burden than something with which to get actual work done. I only care about whether the tool helps users do their job. ![]() Moreover, I come from a business background instead of a tech one, and as a result, I could not care less about how “cool” a new tool is.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |