Tableau 2020.2: Explain data enhancements

0:00In Tableau 2020.2 Tableau keeps on pushing

0:03forward with the explained data

0:04enhancements

0:05they've been adding to the product each

0:07version. Today I'm going to be covering the

0:09latest

0:10additions so let's go ahead and build a

0:11view so we can actually check these

0:13features out.

0:14I'm going to connect to the sample super

0:16store here and I'm just going to wait for

0:18this to load. Now

0:19one thing to bear in mind if you've watched

0:21previous versions you'll notice that this

0:22side

0:23pane is slightly different this is because

0:25we're using the new data model and so this

0:27side pane is

0:28structured slightly differently but if you

0:30're using a similar data you can still

0:32follow along

0:33and work with this data set. So we're going

0:35to build a very simple view I'm going to

0:37drag profit

0:38onto rows then I'm going to drag profit

0:41ratio onto columns then I'm going to bring

0:44product name onto

0:45detail. That gives us this chart which has

0:48some very very obvious outliers in my last

0:51video I

0:52actually specifically looked at this out

0:54lier so it's a nice way of comparing the

0:56capability

0:57between the two versions. If I click on

0:59this dot here you can see here that the

1:01explain

1:02data icon is just right here so when we

1:04click on that we get the analysis that's

1:07available to us

1:07and that actually just renders up very

1:09quickly. In the last version you'll see

1:11that I highlighted

1:12the status bar that was actually telling

1:14you which fields were being used in the

1:16analysis

1:17and now in 2020.2 you can actually choose

1:20which fields are being used in this

1:22analysis by just

1:23clicking on this bottom option here and you

1:25can see that I can now browse dimensions

1:27and measures

1:28and have them added or removed from the

1:30analysis and so what it will do is it will

1:33actually use

1:33those fields in the analysis itself. Now it

1:36's made some pretty wise decisions here

1:39about

1:40what's going on because it's basically

1:41analyzed the data and it's made some

1:43guesses as to what's

1:44actually pertinent and what's not. It's

1:46looking at the level of detail, it's

1:48looking at the types

1:49of aggregation and it's looking at the

1:51measures. For example here it's not

1:53included in latitude

1:54and longitude, it's not included in profit

1:56ratio because that's already on the chart

1:58and so it

1:58can't be used in this particular analysis

2:00because that's the thing we're actually

2:02analyzing but it's

2:04made a couple of suggestions there that are

2:06quite sensible. You can obviously change

2:08those if you

2:08want to tweak it a little bit or get some

2:10more custom analysis going. The other thing

2:13to note

2:13is that it can now spot multiple extreme

2:15values. In this particular case I still

2:18only have one

2:18extreme value but if you've got multiple

2:21extreme values it can actually highlight

2:24these out so you

2:25don't get just one item listed here, you

2:27actually get multiple items listed out.

2:29That's pretty much

2:31the feature in a nutshell. This video is

2:33part of a much bigger playlist to look at

2:35all the

2:36explained data features that have been

2:37rolled out over the last year. Check that

2:39playlist out,

2:40otherwise if you've liked the video hit

2:42subscribe, hit the like button, otherwise I

2:44'll catch you in

2:44the next video. Drop a comment below for

2:46the content you'd like to see in the future

2:48and

2:48and I'll try and get to it at some point

2:49soon.

2:50Thank you for watching.