Now we got two columns of male and female. So let's take gender and we will drag gender on to columns. And basically what we'll be testing is if we hold everything else equal and we take a male customer and a female customer which one of them is more likely to exit. So how about we run one of those four hour data set. The classic and most commonly used example when AB test is an AB test for gender. And now we have the exited flag here and we can start constructing our AB test and I will show you a step by step method to perform this visualization of an AB test. It is going to drag it into dimensions as we saw in the previous section of the course. And that's why we need to move it into dimensions. So Tableau has recognized this column as a measure meaning that it's looking at it as a number rather than as a category for us exited is actually a category. And as we can see it's in measures at the moment. So the first thing we need is the dependent variable that we're examining which is exit. So now what we're going to do is create a new tab or a worksheet and in this worksheet we're going to run a very first AB test in Tableau. And by the way, if you're using Tableau public the free version of Tablo then you will have to save your workbook to the Tableau public servers but that's not a problem because we're not working with sensitive data here. So I'm going to click save as and I'm going to call my workbook "data mining" and I'll save it into the same folder as the data set. Now I'm going to go to file and I'm going to save the whole workbook. And as you will see they will be extremely visual just like everything else in Tableau to start off we're going to save the name of this worksheet and I'm going to call it map so that we can remember what exactly it contains. In this tutorial I will show you how to run simple A-B tests in Tableau.
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