ZA demonstrates the field will be sorted in a descending order (highest to lowest). The ZA icon demonstrates how that field will be ordered. By clicking on the dropdown arrow next to Grade in the ‘Order By’ section will allow you to pick any field in your data set. The example above shows this Tile field will be based on Grade as that was the field where the ellipsis menu was used to select the Tile functionality. Let’s move to the right hand side of the calculation editor as before we set up the tiles, we need to understand what each tile will be based on. The default is that the field will create 1 tile and therefore the output is 1. The values that will be contained by the field are shown underneath the name of the field. In the top left corner, you can rename the new data field that will be created from ‘Calculation1’ to something more representative of the output of the field. Click here to go to the challenge page.Ĭreating tiles in Prep Builder, starts within the clean step under the ellipsis menu: The data set used for this example comes from the wPreppin’ Data challenge. You may wish to look at the top students by their grades or alternatively only look at those students that are struggling. Alternatively, if the average spending variance is similar between all the customer tiles there is less reliance on a single subset of our customers.Ĭreating tiles can allow you to filter the data to a smaller subset to focus your analysis. Why is this beneficial? Well looking at the variance in average spending values would allow us to understand if we are reliant on the top spending tile if their average sales value is so much greater than all other tiles. Taking all of the airlines customers’ spending and allocating those customers into 10 tiles would provide 10 average spending values. Looking at the average spend for our fake airline Prep Air’s customers would just provide one number. Why would I want to tile my data set?ĭata sets are increasingly becoming larger so dividing up the data set into smaller chunks can help make analysis easier and faster to process computationally.
#TABLEAU PREP BUILDER 2021.4 3 HOW TO#
I’m yet to find a useful reason to take the latter approach so this How To post will focus on creating tiles based on numerical fields. When selecting the measure, the data is sorted by the chosen value in either an ascending or descending order.Ī categorical field can be used in Prep to align the records into tiles but this is then done by alphabetical order. Therefore, we are allocating categorical values like customers, students or employees to tiles based on a measure about them. As covered before, a data sets granularity is based on the categorical data. The allocation of the records in each tile is often based on a measure within the data set. For example, if you want to divide 100 records of data into 5 tiles, each tile will contain 20 records. What is a Tile?Ī tile is a division of the data set based on the number of records in the data set.
Like many useful functions when preparing data, the Prep developers have simplified the process of creating Tiles so anyone can easily do this. In Prep Builder 2021.4 the ability to split a data set into equally divided sections called tiles became possible through a couple of clicks. For more information, click here.One of the most under appreciated aspects of Tableau Prep is the ability to analyse data whilst you reshape or clean your data. I understand that these countries may not have the same data protection laws as the country from which I provide my personal information. In particular, I consent to the transfer of my personal information to other countries, including the United States, for the purpose of hosting and processing the information as set forth in the Privacy Statement. I agree to the Privacy Statement and to the handling of my personal information. By submitting this form, you confirm that you agree to the storing and processing of your personal data by Salesforce as described in the Privacy Statement.
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