Tableau public Viz Gallery Tour Part 1 - Tableau Conference 2022 #data22

0:00I'm sad to be missing out. What I'm hoping

0:03to do for this live stream though, just

0:06ahead of the

0:07event is just to check out the Tableau Viz

0:11Gallery whilst hopefully some comments come

0:15to me from

0:16different platforms. So we've got a few

0:19from LinkedIn, this is good. Okay cool, so

0:24the comments

0:24from LinkedIn are coming through which is

0:26great, so that's good to know. Is anyone on

0:29YouTube

0:29watching? If you are watching let me know

0:31and drop a comment, let me know if that's

0:34working

0:34just so that we can check that everything's

0:36working ahead of tomorrow. Patrick nice to

0:39see.

0:39Looking forward to going to pick up my pass

0:43at the partner night later on. So Patrick

0:46is from

0:47a technology partner of Tableau, Wisdom. I

0:51actually did a recent, let's not call it a

0:54review, I just

0:54sort of looked at the product. Wisdom is a

0:57testing tool that you can use alongside

0:58Tableau and Patrick

1:00is from Wisdom. He looks after the product

1:02itself, so I've been working with Patrick a

1:04little bit on

1:04that as well. So Patrick I hope you're

1:06going to enjoy the conference, I hope you

1:08get to meet lots

1:08of people and yeah get stuck in. Right, I

1:13am just going to check one thing. Let's

1:17just go and check,

1:22let's just go check a couple of things.

1:25Okay it really is live everywhere, it's so

1:28bizarre. Okay

1:28this is cool. All right, yeah we're just

1:31going to get stuck into it. So yeah the

1:34main the main

1:34name of this is just to check out the Viz

1:36Gallery. Hopefully if you're watching send

1:39me a comment,

1:39just doing it solo for today. Tomorrow I'll

1:43be joined by Andre and yeah I thought this

1:46is

1:46actually quite a nice thing to do together

1:48because the Viz Gallery is one of those

1:49things where of

1:50course you can just go look at it yourself.

1:52But one of the things I'm hoping to do in

1:54the future

1:54is to start to do sort of workbook teardown

1:56s and I thought this would be a nice way to

1:57sort of just

1:58softly go into that. But do it in a live

1:59stream format, see if that's something that

2:01people enjoy

2:02and also test the live stream itself, make

2:05sure that everything actually works.

2:07I literally haven't changed the settings

2:09since this time last year except for this

2:11time the

2:12internet connection is not going to die. I

2:14am monitoring that actively and I've killed

2:16virtually

2:16anything else that connects to that so that

2:19's going to be good. Now the Viz Gallery is

2:22a really

2:22really cool project from Tableau.

2:24Essentially every year just before

2:25conference they pick out

2:26some of the best visualizations from Table

2:29au Public. Some of them are from iInvis, the

2:32sort of

2:33visualization competition that Tableau runs

2:35that sort of headlines part of Tableau

2:38Conference. And

2:40then the other set of content on there is

2:41just stuff that's been you know absolutely

2:44fantastic

2:44from the year. What's different this year

2:46is obviously we haven't had as long a run-

2:49up to

2:49conference itself so we've only had six

2:51months essentially between the two

2:53conferences. So

2:54it's actually been maybe a little bit

2:56easier but as ever the community is always

2:59awesome and

2:59produces tons of content. So the best

3:01content makes it to the Viz Gallery. To be

3:03honest there's

3:04probably not enough space in the gallery

3:06for all the awesome content so if you're

3:07not in this don't

3:08worry. It's just one of those things where

3:10eventually you know you'll get in there one

3:12time

3:12and if you're doing good work and you're

3:15sort of spending time engaging with the

3:17community

3:17for feedback your stuff will end up here

3:19inevitably so just keep at it. The Viz

3:22Gallery

3:22is pretty cool. It's a very basically it's

3:25like a virtual environment. I wish they had

3:27a VI headset

3:28edition of this because it's actually

3:30perfect for it. If you could put a VI

3:32headset on and

3:33sort of navigate it with your mouse and

3:34keyboard that would be awesome. But you can

3:37't do that you

3:37can just use your mouse and keyboard to

3:40move around and it's a very very simple

3:42setup. You can

3:43pretty much follow along just go to the

3:44Tableau website and you can get stuck in.

3:47So here we are.

3:48This is the gallery itself. You can sort of

3:50just navigate it around. I'm actually going

3:53to drive

3:53this sort of remotely. I'm actually looking

3:56at a different screen to where the gallery

3:58actually is

3:58so it's going to be a little bit easier to

4:00look at it. So yeah when you arrive at the

4:03Viz Gallery

4:03you get a little welcome message from the

4:06Tableau Public team. Tableau Public is a

4:09really I think

4:10important part of Tableau. It's a really

4:12good testbed for content. It's a really

4:14good testbed

4:15for Tableau. I know that Tableau do use it

4:17for testing capabilities in the back end.

4:20They get to

4:20see how we use Tableau, what we're using,

4:23what features we're using in the content

4:26that we

4:26publish to Tableau Public and that really

4:29informs the way that the product is built

4:31in the desktop

4:32product and the server product as well.

4:34Tableau Public is also running on a let's

4:37just call it a

4:38really cracked version of Tableau Online.

4:40So it's one of the largest sort of

4:42instances of a data

4:44visualization platform anywhere in the

4:45world. I can't really think of anything

4:47that comes close

4:47to it. I've seen Tableau Public Vizs being

4:50used by lots of organizations around the

4:53world right from

4:55healthcare all the way to journalism but it

4:57's also a really good way for you to sort of

4:59sharpen your

5:00skills, learn how to use Tableau because it

5:02's entirely free. It works in the browser or

5:04you

5:04can download the software as well. So it's

5:06a really really nice tool to use and you

5:08can get

5:08stuck in. So I won't go too much into Table

5:10au Public. I should just probably make a

5:12separate

5:12video about that and we can find out sort

5:14of how that works. So I'm actually going to

5:17do something

5:18now. Let me just come out of this. Let's

5:21just switch this over to this. Let me

5:24minimize this

5:25screen and I will set this to my primary

5:28display. Here we go. I'll make that the

5:33large and we'll go

5:34full screen there. There we go. So we'll

5:37use this as our as a browsing experience.

5:39So if we sort of

5:41just look at the gallery you can actually

5:43just sort of browse around and what I

5:45really like about

5:45this actually is that they've got the Las

5:47Vegas context here. So if you look through

5:49the window

5:50you can see Mandalay Bay which is the hotel

5:52where the conference is actually taking

5:54place. It's

5:54actually took place there in 2019 as well.

5:57In other years it's been in other locations

6:00so just

6:01a little bit of history for you there. But

6:03yeah here you can see the visitors. There's

6:05absolutely

6:06tons in here. There's amazing content. What

6:08I'll do initially is I'll just do a quick

6:10browse around

6:11check that you know everything's here and

6:14it works and it's streaming okay and then

6:16yeah we'll sort

6:17of get our bearings and go take a look at

6:19some of these workbooks. So one thing I'll

6:22show you here

6:23at the top right is you've got a little map

6:24. So there's four rooms. We're currently in

6:26the

6:27gallery A the sort of entrance and as you

6:29sort of pan around you can see each of the

6:31visualizations

6:33and you can see the rest of the gallery

6:35over into the distance over there. So you

6:38arrive and it

6:40probably makes sense to sort of go from the

6:42left and just work your way left. Basically

6:44when you

6:44go to a museum you always have to choose an

6:46approach right. So here just work your way

6:48around going left and you pretty much get

6:50to all the content. So this is room number

6:52one.

6:53Let's take a look at room number two which

6:54is called gallery B. This has got more vis

6:57es.

6:57Surprise surprise. And this is specifically

7:01the iron vis room. So all these vises have

7:05these three

7:06I think are in the iron vis final and I

7:08think some of these are from the feeder

7:10competition as well.

7:12So I'm not 100% sure on that. I'll have to

7:14double check. I'll check that in a second.

7:17When you click

7:17on them you'll get more detail about them.

7:19But these three are definitely the three

7:21candidates

7:21for iron vis. So we'll check these out a

7:24little bit more shortly. So this is gallery

7:27which gallery

7:28is this? This is gallery B. Let's go check

7:30out gallery this is gallery A where we just

7:33came from.

7:33So we want to go through gallery B and then

7:36I want to turn to my right and go to

7:38gallery C. I'm

7:39already lost. If we turn around a few more

7:42data visualizations I'm looking back from

7:46where I came

7:46from. What I really like about this is

7:49actually quite interesting to see what vis

7:51es make this cut.

7:52What do you have to do to get a

7:54visualization into this gallery? And this

7:56is normally a good

7:57straw poll. What you tend to see is people

8:00take inspiration from these vises and you

8:02see the

8:02styles sort of repeated throughout the year

8:05. So maps are obviously a very commoner

8:08occurring

8:08theme. Maps are just the kind of thing that

8:10everyone gets amazed by. So they're really

8:12really cool to build in Tableau. Super easy

8:15. Gets easier by the day to build these

8:18visualizations

8:19in Tableau. And there's also a few sort of

8:22different styles sort of popping through.

8:25Again

8:25we'll come back to these a little later on.

8:27Things like radar charts, radial diagrams,

8:30these sort of flow charts. I forget the

8:32exact name for these but we'll come and

8:34have a look at these

8:34a little bit later. Then the final gallery,

8:37gallery D. Still looking out to the Las

8:40Vegas desert.

8:41We've got one vis on its own there. And

8:43then if we scroll around we've got a few

8:46more

8:47small multiple charts there. A few vises

8:51about various topics. We'll dig into some

8:53of these a

8:54little later on. But yeah this is pretty

8:56much it. So there's really really good

8:58stuff in here.

8:59Really easy to browse and get involved. So

9:01if you're watching this on the live stream,

9:04you haven't had a look at this, you should

9:05just go check this out for yourself in

9:07person.

9:07Then come back and watch the replay of the

9:09live stream or something as we go through

9:10it. But

9:11that's pretty much it. So let me just check

9:14one thing. Let me bring my chat window

9:17over to this left hand side so that I can

9:20actually see what people are saying.

9:24Because various people

9:25are going to be chatting in from different

9:28places. And the other thing I want to make

9:31sure I do is

9:32make sure I can see comments from other

37:05platforms. So yeah okay no we don't have

37:05any comments from

9:41other places so this is all good. That's

9:43fine. Let me just check a couple of things.

9:45There we go here we go. What's Steve saying

9:50on Twitter? I'm going to switch to a

9:53different

9:53streaming platform on Twitter from my

9:55laptop and video stops when I type reply.

9:58Okay so Steve

9:59Fen is watching on Twitter. He was watching

10:01on Twitter. He's going to switch to another

10:03platform.

10:04So hopefully you can find me somewhere. On

10:06YouTube we have five people watching. You

10:09're very quiet

10:09YouTube. I can see Jacob you've made a

10:12comment. What am I most excited about at TC

10:1422? That's a

10:15good question actually. TC22 is an

10:19interesting conference because it's one of

10:22those conferences

10:23where there's a lot of things that we haven

10:26't done in a while as a community in general

10:29and

10:29Tableau haven't had a chance to sort of

10:32showcase for a while. So when it comes to

10:34TC22 I think

10:36there's a lot of expectation. There's a lot

10:38of sort of maybe frustration that we haven

10:41't

10:41come together as a community. There's also

10:43the sort of ongoing discussion about Sales

10:45force and

10:45Tableau. Tableau clearly becoming more of a

10:48product than a company on its own right.

10:52And then

10:53lastly I think there's also this sort of

10:55expectation of features because we only

10:58just had

10:58a conference six months ago. So I am

11:01deliberately tempering my expectations

11:03because of that sort of

11:05compressed time frame of six months. But I

11:07'm really hoping we start to see some really

11:10big

11:11ticket features that we've sort of been...

11:14You kind of get the sense that in 2021

11:17Tableau were laying

11:18the groundwork for a bunch of things right.

11:21And you tend to see that happening in a

11:23slightly reduced

11:24sort of cadence in features. We had a lot

11:27less sort of big ticket features coming

11:30through in 2021

11:32but there's sort of lots of small steps

11:34being taken in other areas. And so what I'm

11:36hoping is

11:37we get to see all of that come together in

11:39a lot of sort of gateway features. So

11:41features that

11:41require some of these smaller parts to be

11:44there and exist. So I'm hoping for better

11:48... Well I think

11:49anything that improves the authoring

11:51experience to make it easier for authors to

11:53build visualizations

11:54is a good step. I also think anything that

11:56can help other people build visualizations

11:59without

12:00an author is also going to be a good thing.

12:02It's not a commonly spoken about part of

12:04Tableau because

12:05in essence who wants someone else to be

12:08building a business for them? No one.

12:11Everyone wants to

12:12be enabled to build for themselves. And I

12:14think one of the toughest things is how do

12:16you give

12:17that power to people who might have

12:19different levels of data literacy, might

12:21have different

12:22levels of experience in analytics. It's a

12:23really, really sort of tough challenge. On

12:26top of that,

12:26you've got to make sure they're using

12:28things like validated data sources and

12:29there's a lot of trust

12:30and governance in those. Otherwise people

12:33are just building things that look great

12:35but essentially

12:36jargon because they've not gone through the

12:38relevant steps to make sure it's all valid.

12:40So

12:41I'm really hoping we see sort of more of

12:43that coming through to enable that sort of

12:45scale to

12:46really take place. So that's sort of a very

12:50big expectation, a lot to ask for, but we

12:53'll probably

12:53see that in small features and small

12:55feature sets coming through. So that would

12:57be really,

12:57really cool. So someone's saying it would

13:00be cool if we can create our own VizGallery

13:03. I completely

13:04agree actually. I wish this VizGallery was

13:06actually more permanent. It wasn't just

13:08something temporary

13:09and yeah I think it'll be nice to sort of

13:12see that a little bit more. So let me put

13:15this over here.

13:16I should just move my stream settings all

13:18the way over here. This is why you do a

13:20test because

13:20it's not until you do the test you realize

13:22everything that's wrong with your live

13:24stream.

13:24So okay I've moved everything across so now

13:26we can go back to the entrance. You can

13:28actually,

13:28over here on the top right hand side, you

13:30can actually just click on the gallery

13:32letter and it can take yourself back. So we

13:35're going to start over here with this one

13:38by Gupreet.

13:39Now Gupreet has an awesome YouTube channel.

13:43We barely even started this and we are

13:45already

13:46getting distracted. Gupreet runs an amazing

13:48YouTube channel. It's called Data Viz Can

13:51vas. In fact,

13:52let me do this. Data Viz Canvas. I think it

13:55's this. Visualize data in an artistic way.

14:01I'm pretty sure it's this. I could just

14:04open the YouTube one as well. That will

14:08probably

14:08load faster. Yeah it is. Yeah this is one.

14:10So this is Gupreet's channel. It's really,

14:12really cool. If you haven't heard of Gup

14:14reet and his channel, definitely go check it

14:16out.

14:16He does some amazing videos about different

14:20chart types and the kind of thing that you

14:23see

14:23being done somewhere in the Data Viz

14:25community and you're thinking can I do that

14:28in Tableau?

14:29You think the answer is no and actually the

14:30answer is yes. Gupreet's probably done a

14:32video

14:33showing you how to do it and he's got a

14:34really good library of content going back

14:36now, almost

14:37two years. So absolutely go check him out.

14:40Give him a follow and a subscribe. But if I

14:43go back to,

14:43this is his website actually, if I go back

14:45to the Viz gallery just here, this is his

14:47visualization.

14:48So he's visualized charities. The

14:50Australian Charities and Not-for-profits

14:53Commission

14:54is the country's national regulator for

14:56charities. This is by Gupreet Singh and he

14:58's basically

14:59visualizing the charities and the, I think

15:02the donations and the income they get in

15:06Australia.

15:07So it's a good visualization for two

15:10reasons. There's a nice sort of story to be

15:13told about

15:13where all the donations are going. It looks

15:15like the data set is really, really rich

15:17for that

15:17and you can sort of jump in and get

15:20involved. Now what I will say is on these

15:23sort of pop-out pages,

15:24you can interact with the visualization but

15:27what it does is it opens up another tab. So

15:30when it throws you out to this tab, this is

15:32actually where you interact. So in the Viz

15:34gallery itself, you can look at the visual

15:37izations but you can't really interact. When

15:39you click on

15:39them, they immediately sort of throw you

15:42over to another page and I think that's to

15:44do with

15:44just the technicality of sort of the way

15:47the Viz gallery works but I'm sure with a

15:50bit of time,

15:50they could improve that. But yeah, this is

15:52the actual Viz and you can sort of engage

15:54with it

15:54and he's done a really nice chart type here

15:56to kind of show the flow of different

15:58donations.

16:01I'm just going to try and interact with it

16:02here and see if this interaction works.

16:05Select

16:05individual bar to drill down further. So if

16:08I do this, there you go, there you go, that

16:10works. So

16:11one of the things you have to do is read

16:13instructions. I'm really bad at this. I

16:14just

16:14take my mouse and just click everything to

16:17sort of explore what's going on. So as you

16:19click on

16:20these different bars, you can see the flow

16:22chart changes to reflect where the

16:25donations are going

16:27and when you hover over these sort of end

16:29lines, you get a nice Viz and tooltip here

16:32that pops up

16:33and shows you sort of a spread of those. So

16:35that's a really nice visualization. It's

16:39one of the

16:40examples of what I would call using hacks

16:42resourcefully and it's not a bad thing to

16:46use

16:46hacks. I'm not saying that at all. I

16:48personally known for hating hacks. I've

16:51done a video about

16:52it but nonetheless, sometimes you have to

16:55to kind of get the chart type and story

16:57combination that

16:58you want to do. So you will see lots of

17:00what I'd consider hacks in the Viz Gallery

17:03because people

17:03are trying to do really beautiful things

17:05and they have to push the boundaries of the

17:07product using

17:07whatever tricks they can use and so you can

17:10see that when I hover over this bar, it's

17:12actually

17:12a series of circles and the way this works

17:15is it's essentially a calculation that

17:17takes a starting

17:19point, let's say this very top point and

17:21then goes to the very end and it just draws

17:23a bunch of

17:24circles between them. So if I go down here,

17:26you can see as I move my mouse, there's

17:27like a small

17:29circle that kind of moves up and down and

17:30that's essentially how the hack works. It

17:32kind of creates

17:33this bar chart but that's the only way you

17:34get rounded edges essentially. You have to

17:37have these

17:37essentially data points load up. The Viz

17:40refresh there for some reason, I don't know

17:43why but

17:43this is a really cool Viz. I'm not going to

17:45interact with it too much but I just

17:47thought

17:47I'd hop in and give it a look. So that's a

17:50great Viz by Gupery and we'll head back to

17:52the Viz Gallery

17:54and we'll go to the next one. By the way,

17:56if you have comments about these, drop them

18:00in the chat,

18:00let me know what you think and we'll get

18:03stuck in. So just reading my comments,

18:09"Fosten, I don't know if this is Steve, is

18:12this Steve? Is Fosten Steve?" Let me know

18:16in the comments.

18:17"Loved your video about WisdomOps, was

18:19hoping maybe something like that would be

18:21represented

18:21at TC22 this year." That's a very good

18:24question actually. It's kind of interesting

18:26. I did the

18:27video on WisdomOps and then what I realized

18:30is that some of the features around the

18:32Workbook

18:33Optimizer are kind of in the same space but

18:36not really. The Workbook Optimizer, I don't

18:40think that

18:40should be called the Workbook Optimizer, it

18:41should be called something else. It should

18:43be called like

18:44a Workbook Checklist because that's

18:45actually what it is. Here's a checklist of

18:47things that we think

18:48are best practice, check against them

18:50before you publish this up to Tableau

18:53Server or Tableau Online

18:54or whatever you're using. That's what it

18:57really is about and I think there's going

19:01to be more in

19:01that space. I'd love to see an API for the

19:04Workbook Optimizer so that I can check

19:06everything on Tableau

19:07Server in one big go and then export a list

19:10of, "Okay, these are the 20 things I could

19:15address

19:15across all my workbooks to improve

19:17performance on the server." Then you can

19:20build training to

19:21suit those needs. That I think would be a

19:23really, really cool feature. Anyway, let's

19:25get back to this.

19:27Idris Akilapa, I think that's the way to

19:29say that. Sorry if I've not said that

19:32correctly. This is a

19:33business dashboard by Idris based in

19:35Nigeria, creatively showcases Superstore

19:38sales. People

19:40take the Mickey out of Superstore sales but

19:42every single year people continuously

19:45produce amazing

19:46dashboards that just reimagine Superstore

19:49sales. I think it's the equivalent of like

19:53a bake-off

19:55where everyone gets the same ingredient but

19:57then people come up with lots of different

19:58sort of iterations of the same thing. What

20:00I love is how resourceful people can be

20:02with the same

20:03data. What I really like about this is sort

20:05of the thought, the layout, and the

20:07flexibility that

20:08you get in this visualization. If I go to

20:10it, let's just go to and interact with the

20:12viz.

20:13Let's have a look at it a little bit more

20:16closely. Click the calendar for year filter

20:20and table for

20:20data. If I do that, this is using the show

20:23and hide capability in Tablelip. When I

20:26just click

20:27on that icon, it basically shows this

20:29container and then I can go select the year

20:31. I think this

20:32is going to give me a table over here. Wow,

20:34okay. That's really cool. I think, okay,

20:39that's really

20:40nice. I really like what he's done there.

20:42It's essentially when you click on this

20:44icon, it's

20:44essentially hiding this entire container

20:47and flipping it. What I like about this is

20:50that,

20:50okay, so I was going to say that I think

20:53the titles fade out but I don't think they

20:56do.

20:56But if you click on them, I think it takes

20:59you to a different metric. Correct, yes.

21:02So it's always interesting that the visual

21:05cues lead you to sort of have expectations

21:07in there,

21:08even though I didn't read this instruction

21:10here, select category to filter.

21:14It just worked because I clicked on this. I

21:16realized that the metrics didn't change.

21:19And then I realized, wait, there's

21:20something else going on here and it worked.

21:22So to be fair,

21:24this is how most people look at visual

21:25izations. They don't really read the

21:27instructions you send

21:28them. They just click around. So this is re

21:30using a lot of good capabilities. It's using

21:33set actions.

21:34It's using the show and hide capability.

21:37And it's also using just really good layout

21:40design.

21:41Something you can really clearly see here

21:42is that he's using padding in between these

21:44layout container sections. So the way this

21:46is done, have I got my annotation tools? I

21:48haven't

21:49got my annotation tools. Let's get my

21:51annotation tools up. Let's say presentify.

21:53So if I bring my

21:57annotation tools up here, you can tell that

22:00each one of these is essentially a layout

22:02container.

22:03And inside of that layout container, I

22:08think what has to happen, either one or two

22:13things,

22:13let's start again. So I think what's

22:15actually going on is you've got layout

22:16container there,

22:17and then you've got a layout container

22:19there. And then in each of those layout

22:22containers,

22:22you've got a horizontal section, just like

22:26that. And another horizontal section like

22:29that.

22:30And then what's happening is when you click

22:33on this table icon, it's basically

22:36switching

22:36this container out with something else. So

22:40this container, the green one that I've

22:43highlighted,

22:43is basically being switched out for

22:45something else. And it's bringing in a

22:47whole new set of

22:48charts with it and tidying the other one as

22:51well. So really cool set of actions there.

22:55And yeah,

22:55if you tried to do this three years ago,

22:57that would have been really messy. You'd

22:58have collapsing

22:59containers instead of show and hide. So

23:01that's a really nice touch there. Nice work

23:03. Cool.

23:05Now this is going to take a while. You know

23:08, when you have this idea of doing something

23:11,

23:11and then you realize, okay, I should have

23:13really thought this through before

23:14committing to it. But

23:15hey, we've started so let's, let's push

23:19through. Okay, so Olusolo Olojo, also based

23:23in Nigeria,

23:24analyzes agricultural product harvest and

23:28yield in one of the most natural resources,

23:32dense regions of the world, Africa. Cool.

23:34So this is a vis about Africa. You can tell

23:37there's a

23:37little bit of Figma design going on here.

23:40These buttons, I'm assuming Figma because

23:44they exactly

23:45match the background. So one of the easiest

23:47ways to do that is to just design the

23:50background and

23:50the buttons yourself. You could do that in

23:52PowerPoint, you could do it in Figma, you

23:53could do

23:54it whatever tool you're using, but for them

23:56to match, you know, exactly as they have

23:58done that,

23:58it's got to be done really, really well.

24:01And I also like the use of the background

24:03image here

24:04and to kind of give a little bit of a story

24:06and a theme to it without the background

24:08image,

24:08it wouldn't look the same. I also like this

24:12, the use of sort of color. So the color is

24:16being used

24:16really cleverly. It's here obviously in the

24:18data vis, but the same color is being used

24:20here and it

24:21really adds contrast to the whole

24:22visualization. So I think it's a really

24:24nice, really, really nice

24:26touch. So yeah, let's go interact with the

24:28vis and see if I'm missing anything. There

24:30's always more to

24:31a vis, never judge a vis by the cover as it

24:33were. So yeah, when you hover over the

24:36different data

24:37points, you do see a little bit more. And

24:39if I go to production, this is the one we

24:42're on. Let's go

24:43look at harvest. Yeah, the action changes

24:46the metric that you're looking at. So that

24:49's pretty

24:49nice there as well. So that's pretty cool.

24:54Let's go back. Fosten is not Steve. I'm

24:58glad that's

24:58really been answered. Apologies for sort of

25:02confusing you there. You had a name similar

25:06to someone that I thought might be also

25:08watching, but no worries. 2021 F1 season.

25:12Oh my God, don't

25:13get me started about F1. As you might know,

25:16I am a racing fan. You can't quite see it,

25:19but there's a

25:20Lewis Hamilton poster behind me. 2021 F1

25:23season was probably one of the best seasons

25:26in a decade.

25:27I've only really been watching F1 for eight

25:29years, but I can tell you that like there's

25:33not been a

25:33season like that in a really, really long

25:36time. The closest season to that was

25:38probably Nico

25:39Rosberg versus Lewis Hamilton. And then

25:42again, probably going even further back

25:46when you had

25:47sort of the classic rivalries with Michael

25:49Schumacher and many of his sort of not arch

25:53enemies, but many of his competitors over

25:56time. So this season was absolutely

25:58fantastic. And this

26:00vis, I think it's one of those vises done

26:03at the right time in a really nice style.

26:06The problem

26:06with a lot of racing like vises is there's

26:09this temptation to want to make them very

26:12sports car

26:13sort of focused and fast design. Whereas

26:16this one just takes a step back and really

26:19just focuses on

26:20the information rather than the theme of

26:22the sport. And it just puts those two

26:24people in focus,

26:26has a consistent color and style, has a

26:28story that it tells with text and color.

26:31And if we scroll

26:33down, what's really interesting here is you

26:36can see the different sort of rankings that

26:38the people

26:39finished. So a really low ranking basically

26:42means you didn't finish and a win is a dot,

26:45I believe.

26:46And the higher you finish, the higher these

26:49are. So that's why Nikita Mazepin here, who

26:52's no longer

26:52in F1, has a lot of rankings low down. But

26:56it really shows that a lot of the F1

27:00drivers,

27:00it's really hard to be consistent. No

27:02driver here has a sort of a perfect sort of

27:06trend. I think

27:08Carlos Sainz probably was one of the most

27:09consistent people last season. He didn't

27:11finish

27:12lower than 10th by the looks of it. But

27:15Lewis had two DNFs or two really low

27:19finishes, whereas Max

27:21had three, but then pretty much won every

27:24race. Whereas Lewis won almost half as many

27:28races,

27:28but because he was consistently finishing

27:31really, really high up, was able to sort of

27:33really push

27:34the race right to the end. So yeah, really

27:37interesting vis. If you're into racing,

27:40this is

27:40a really sort of awesome vis to check out.

27:42I'd love to see this for every season in

27:44history,

27:45and if that's possible. So Raphael throwing

27:48the challenge to you there. So that's a

27:51pretty cool

27:51vis. I really like it. Let's just go check

27:53the vis. Let's just go interact with it

27:56very quickly,

27:56make sure I'm not missing something really

27:59special. You always need to just check the

28:03vis because

28:03that can completely change what's going on.

28:08So select a driver to view each of their

28:10races.

28:12It's funny, the topic of gendering is a

28:17really sort of topical conversation.

28:21Formula One is a

28:22purely male-dominated sport, but there is

28:25another formula called the W Series. And in

28:29fact, there

28:30have been female drivers in F1. Suzi Wolf,

28:34the wife of Toto Wolf, was the first female

28:37driver in F1.

28:38She was a test driver for Williams, and I

28:41believe she drove a practice session in F1.

28:45And the big

28:45challenge that's constantly portrayed there

28:49is that the speed and nature and physical

28:54ity required

28:55to drive F1 cars means that typically,

28:58according to sports physios and scientists,

29:02women can't

29:03take parts. But I don't think that means we

29:06have to gender the sport. So it's one of

29:08those things

29:08where if you can, just get used to making

29:11your language a little bit more gender

29:14neutral so that

29:15if one day maybe the cars are made safer,

29:19the sport is better designed, it's more

29:23inclusive,

29:24and people don't have to relate to gender.

29:26Because the other thing is you never know.

29:28One of these male drivers might not

29:30actually gender themselves either. So it's

29:32just something

29:33to be aware of. But nonetheless, really,

29:36really cool vis. I really like this touch.

29:39And yeah,

29:40really, really, probably one of the clean

29:42est designs of the whole of the whole

29:43gallery.

29:44I really like it. There's no unnecessary

29:46use of color. It's all themed on teams and

29:50the race as

29:52well. So really cool. Let's step back and

29:55go to this global warming vis. This is a

29:57really simple

29:58one. It tells a story and it doesn't need

30:01it doesn't need much more than just the

30:03canvas to

30:03tell the story. The world is warming up.

30:06Here's the data. Take a look. Here's the

30:08mean over 1951

30:10to 1980. But there's a very clear trend.

30:14What would be interesting to know is what

30:16caused this peak.

30:18And then what caused this decline?

30:20Something must have happened here. I think

30:23this is the world war,

30:25I believe. I think this must be the world

30:27war and industrialization. And I think,

30:31yeah, this must be

30:32the world war. So this was world war and

30:34industrialization. And then after the world

30:37war,

30:38there must have been a lot less industrial

30:40activity. It sort of flatlined for a little

30:42bit.

30:42And then as we came out of the recovery, 10

30:46or so years later, it's just been a sort of

30:50onward trend.

30:51There's probably a lot more to it as well.

30:54There's a few more sort of some interesting

30:57sort of trends there. And maybe that's me

31:00generalizing the data into a trend that I

31:02want to see. But it'd be really cool to

31:04understand what's going on there. There's

31:07another vis this

31:08reminds me of. What's causing global

31:13warming? This is a... Let's see if I can

31:19find it. Data vis.

31:21What is... There's a really good vis, I

31:33think by Bloomberg.

31:35What's really warm in the world? That's the

31:42one.

31:42So this is really nice vis. Again, exactly

31:46the same chart actually. And it's using the

31:50same data

31:50set. So I assume it would have the same

31:52trend and you can actually see the same

31:54trend. So this line

31:55shows the measured or observed thing. But

31:57what this one uses is scroll telling. So it

32:00shows

32:00different factors and how they follow the

32:03average. And as we keep going, it adds

32:06different things. So

32:07you can see if the sun has had the impact

32:09that we're looking for. We can see whether

32:12volcanoes have had an impact that we're

32:15looking for. You can add all the three

32:18things and see if

32:19any of them combined have caused the effect

32:21. And what's really nice there is that they

32:23're

32:23then aggregated to give a net setup. And

32:26there's also a margin of error because of

32:29course these

32:30measurements mean different things. And

32:33then land use has actually gone down. And

32:36then ozone

32:38is pretty flat. And then aerosols comes in

32:42and that goes down. So you think, "Oh, okay

32:45, cool."

32:46That's having a slightly different effect.

32:49Greenhouse gases, that's gone up. And then

32:52if you combine all of those together, you

32:57then get something that very closely

33:01matches

33:01the trend that we're seeing. Now, there's a

33:04margin of error to that as well. But that's

33:07essentially

33:08a really cool data vis because it actually

33:10tells a story and it gives you a net line

33:12of all the

33:13factors used, basically natural and human

33:15factors put together. So you can sort of

33:18see that story

33:19for yourselves. And then there's a lot of

33:21theory here about what's going on. So that

33:23's really,

33:23really nice to see as well. Right. Let's go

33:28back to this. We've got lots of things open

33:31. So let's

33:32close all this and go back. So yeah, we've

33:35done a global warming. This is one by

33:38Autumn Batani,

33:39inspired by the Taibo community project

33:42Real World Fake Data, aka RWEFD. This vis

33:47by Autumn Batani,

33:48based in the US, redesigns a Taobolo call

33:50center accelerator pre-built dashboard that

33:52helps you

33:52quickly drive into identifying patterns,

33:56outliers and insights. So I'm on the record

34:00for absolutely

34:01going in hard on the Taobolo accelerators.

34:04A lot of them, in my opinion, were not the

34:07best practice

34:07Taobolo vises. But Autumn has taken it upon

34:11herself to actually do something about that

34:14,

34:14unlike myself, where I just moaned and

34:17created a video. Autumn actually sought to

34:19improve the

34:20ecosystem for everyone. So you can now see

34:22this vis by Autumn, which is actually

34:24really, really

34:25nice. It's to me a much, much better sort

34:28of example of what is possible. And if you

34:32go to it

34:33and just interact with it, you just see a

34:35much, much better sort of outcome. So let's

34:38say we click

34:39on, I think it's sorted by answered calls.

34:42I don't think it actually filters or maybe

34:46I'm,

34:46no, these don't interact. I was hoping that

34:48you'd click on these and it would filter

34:50that,

34:51but that wouldn't be hard to add, I don't

34:53think. Let's go to, this is the aggregator

34:56tab. Let's go

34:57to this tab here for call people. So you

34:59can see, yep, they call volume, their

35:02schedule. That's very

35:03nice. And then let's look at this. Yep. You

35:06can see the traffic by time as well. And

35:09then this

35:10also gives you the menu and information as

35:12well. So really, really nice touch. Very

35:14simple, actually.

35:15Very simple design, really hard to do. I

35:18know it sounds sort of weird to say that.

35:21The simpler

35:21something looks, the harder it is to do.

35:23Always, always. And something you can do

35:25with Tableau

35:25Public is obviously go and download an

35:27image or whatever, but you can download the

35:29workbook,

35:29open it up and have a go. Or even better,

35:31if you logged into Tableau Public, you can

35:33just edit this

35:34in the browser and have a look at how it

35:35was built. So you don't need to download

35:36anything. You can

35:37just get involved. I'm not actually signed

35:39in. I won't sign in right now, but yeah. So

35:42yeah,

35:43that's really, really cool. Okay. So we've

35:46got work like an artist, this one by, I

35:50think,

35:50Hapl. I think this profile, I'm not sure if

35:56that is, I'm not convinced that is. Let's

36:00go to,

36:01let's just double check this. Sometimes

36:05profiles are, let's go to the profile.

36:17Yeah. Okay. Let's go to LinkedIn. Yeah, I

36:25think that is, that's correct. Yeah. So I

36:29was wondering,

36:31I thought I'd seen this not under a

36:34different name, but under the full name,

36:38but I am wrong

36:39in that sense. So this is a really, really

36:43smart vis because it's one of those visits

36:47where I think

36:48you have to download it to see what's going

36:50on. I think it uses a lot of images, which

36:52is why it's

36:53taking a little longer to load. Each of

36:55these faces is going to be an image and the

36:59icons

37:00might also be images. So let's wait for

37:05this to load. I might refresh it one more

37:11time. Sometimes

37:11when you refresh it kind of loads faster.

37:15Let's just wait for this to load in. Maybe

37:21I should

37:22preload all of these ahead of time. Let me

37:29just check a few things while this is

37:36loading as well.

37:36Here we go.

37:47Nope. Why is this not wanting to load? That

37:50's not, it's not ideal. All right. What we

37:54'll do is we

37:55will go back to the vis gallery. We'll come

37:58back to it. We'll leave it loading in the

38:01background

38:02or come back. That's pretty much everything

38:04in room A, which is pretty good. What I'll

38:07do is

38:07I'll probably look at the iron vis entrance

38:10when we go in the three iron vis finalists

38:13even,

38:15and then we'll probably have to continue

38:17this some other time because there's just

38:19absolutely no way

38:20I'm going to make it through all of these

38:21in the time I was hoping to. I was going to

38:23spend an hour

38:24but I think I've just gone through them in

38:26too much detail because they're just too

38:28good.

38:29Let's dive into this one. This is by CJ M

38:33ays. CJ makes a lot of great content. If you

38:38don't follow

38:39him already, check him out. If I open up

38:41his profile, this is something you should

38:42also do.

38:43When you go to a profile and you see

38:44something good, open their profile and don

38:47't just look at

38:48the other good stuff they've done. Scroll

38:50all the way back and really understand

38:52their journey

38:53because I think it's all too easy to look

38:56at the first thing that someone, the first

39:00amazing visit

39:00of the day that someone has done, but it's

39:02more important to understand how they got

39:04there.

39:04What have they done? What experiments have

39:06they tried in the past? What sort of

39:08stories have they

39:09tried to tell and how has that led them to

39:11where they are? If you look at the visual

39:14izations here,

39:15I wonder if CJ has anything hidden because

39:18right out the gate he's got some really,

39:20really good content and he's also got a

39:22very definitive style. He likes a lot of

39:24dark mode

39:25content so you can see that most of the

39:27stuff here is dark mode. As you go

39:29throughout, he's using

39:31very advanced, I'm going to say advanced

39:32chart types. They're not out of the box.

39:34They're using

39:35some quite, not complicated, but some quite

39:40tricky calculations to create slightly

39:42different chart

39:43types, which is really, really cool. Lots

39:45of concepts being explored. For example,

39:48here you're using shapes to show body parts

39:52, which is really, really cool. Then

39:55obviously that's

39:55linking to another core diagram that we've

39:58seen already before. If we keep going back,

40:01there's more and more experimentation. Then

40:04if you go to the viz that's actually made

40:07it through to

40:08the iron viz final, if I can find it, here

40:10it is, the art of conversation.

40:13This is using a lot of those skills. It's

40:17using design, it's using layout. There's a

40:20lot of

40:20minimalism in here. Interestingly, it's not

40:23dark mode, so a really nice touch there.

40:27The lessons he's probably taken from dark

40:29mode have helped here because I think he's

40:31struck a

40:31really good balance of achieving contrast

40:34whilst not making any colors really, really

40:36strong.

40:36They're all quite muted, very complimentary

40:38colors. I really like the way that he's

40:40done that.

40:41The layout is absolutely beautiful. The

40:44story that it's telling obviously takes a

40:45bit of time to get

40:47into, but you can check this out. Now, this

40:50is about a podcast, The Diary of a CEO by

40:54Stephen

40:54Bartlett who's based in the UK. This is a

40:57really, really beautiful viz. I'm looking

41:02at it and just

41:03seeing each of these. Click here for key

41:06before viewing. That's a really nice touch.

41:08How is this being done? Let's think about

41:14this. Everything here I think has to be

41:19either in a

41:19single image in a container that's being

41:22hidden and shown or I think that has to be

41:25it. It has

41:26to be like a transparent image that's being

41:29overlaid onto this exactly to show you how

41:32this works. It's a really interesting way

41:34of doing a legend without actually having a

41:36legend. A lot of

41:37legends use color to say this color means

41:38this, this color means that. This just

41:40actually literally

41:41shows you. He's annotated the actual chart

41:44to just show you how it works. That's

41:46another star you can

41:47use. Mark Reed has a really good blog post

41:49about how to do this. Definitely check that

41:52out. Got

41:52some good social buttons here at the bottom

41:55as well. A bit of the chord diagram

41:57technique being

41:58used here on the right. What's nice about

42:01this is that it's also got a bar chart

42:03lined up with it.

42:04It's not just the chord diagram. It's also

42:07got a really nice setup. He's also using a

42:10scorecard

42:11setup here as well. That's really cool.

42:13Each of these are actually data points you

42:16can

42:16interact with. Okay let's go back. Let's

42:21look at the next one. Interpreting Art.

42:27This is interesting

42:28by Will Sutton. Also UK based. Let's go

42:34interact with this.

42:39Now this is interesting. Let's just look at

42:45this. What is art? How should we interpret

42:50art?

42:51Take the quiz. Question one. How do you

42:54interpret art? Pick an interpretation from

42:57the options below.

42:58All uphill. Handheld tattoo machine. Walk

43:04of shame. Following breadcrumbs. Sad seed

43:09sour. To me I thought that was all uphill.

43:12If I click on that. Let's see what it does.

43:15Oh I think I've got to do all the questions

43:18and then it's going to give me a score.

43:21Okay so this

43:21is interesting because it's already this

43:23vis is making me work for the end result.

43:25It's telling

43:27a story but it's not giving me the answer

43:29straight away. So let's have a look at this

43:31. Question two.

43:34Fight to the last. Punch and drive. Okay

43:39this is what this is.

43:41Okay.

43:46Interesting.

43:49I'm gonna click this one.

43:53I wonder if this fighting cars is in the

43:59wrong.

44:02Maybe it's just how we're interpreting it.

44:03Let's go. Number three. There's a legend

44:05there. For each

44:06image click the text to select an answer.

44:10Ball, cups, child. Ball playing triplets.

44:15Okay so what I'm realizing is I also have

44:22not selected an option there. I think I

44:29have to

44:30select two. Because one and two. Nope you

44:33can only select one. So let's just click on

44:36that then.

44:37Question three. Question four. This.

44:41Ted Bundy's badge.

44:45Okay this is good. If I scroll down. Okay I

44:52'm just going to select two more.

44:58Oh you have to answer all the questions.

45:00Okay I'm just gonna select

45:01raindrops, raining dogs, Australian sheep.

45:07Love. Okay. Meat sweats. Meat sweats. Badly

45:12explained

45:12climate change theory. That's actually

45:15quite a good one. I think I'll go badly

45:20explained climate

45:21change theory. I want to see more in what

45:24that is. I think this is an animal. This is

45:27a cloud

45:27and it's raining. That's what I think it is

45:30. And this looks like rubbish to me so that

45:33's

45:33what I'll choose. Question six. The last

45:36one. Convicted croissant escape supermarket

45:41. Yeah

45:42that's a croissant. That's a trolley. That

45:44must be it. Okay submit my answers.

45:48Then you get the viz. That is super cool.

45:55Really really cool. That is an amazing

45:57touch.

45:58So you're part of the data and then it

46:01tells you the story of your responses. So

46:04zero

46:05interpretations as the artist intended.

46:09Okay so number of respondents. Right okay.

46:13Your response artist impression. Wow.

46:18This is pretty next level. And these chart

46:22types are really sort of advanced. You've

46:26got

46:27the Sankey. I'm always sort of skeptical

46:29about the Sankey but it's a good use of the

46:31Sankey

46:31because it guides you through the story. I

46:33very very much like it. Wow this is a great

46:37viz just

46:37because it doesn't... there's no complexity

46:41in this. The complexity is all in the story

46:45.

46:45It's all in the way that it's got you to do

46:47a quiz. You take the quiz. It doesn't give

46:49you

46:49the answer until you've done all the

46:51questions. You submit your answers. You

46:53kind of do the

46:54classic form sort of you know completion

46:57thing and then here you go you get your viz

47:00.

47:00Really really cool. Really cool. Okay let's

47:06look at the last one.

47:08By Kim Lee Scott. In this viz from the 2022

47:14Iron Viz qualifier, finalist Kim Lee Scott

47:18based in Australia looks at diversity in

47:21the art world by examining Australia's Arch

47:24ibald Prize

47:24exhibiting artists and the gender pay gap.

47:27So we're talking about gender inclusivity

47:31a little earlier on and here's a viz that

47:33goes into that.

47:34Okay so this one has a story right from the

47:40get-go.

47:43I do like the little prelims that we get

47:46here. I think this is actually something

47:48that I wish

47:49more vizs did you know as part of the

47:53navigation rather than just being done by

47:55Tableau. So it's

47:56really really nice touch. So this viz has

48:01it's like its own viz type. It has a key

48:09that shows

48:09you what's going on. Has a little bit of

48:13color as well. It's very very clear right

48:17from the get-go

48:18that there are very very few female winners

48:21. It's probably for every 10 male winners

48:24there's one

48:24female winner. Just looking at it. Show

48:28layers. Oh is this a map? Oh yes. So this

48:36is using a

48:36mapping capability to show me this right.

48:39So I can choose to disable different layers

48:42. Oh that's

48:43a really nice touch. A really nice touch.

48:47So this is like a grid and each of these is

48:50like a layered

48:52object. The issue with layers is the one at

48:55the top is what hogs the data points. So if

48:58we

49:01lock some of these we might be able to

49:03interact with the layers below. So let's

49:06lock the year of

49:09when and let's see if we can interact with

49:11the gender. There you go. Yeah you can

49:13interact with

49:14the gender. So that's really cool to see.

49:17Wow. That's amazing. So cool. So these are

49:24actually

49:25shapes. Wow. Okay. It's very cool. And then

49:32you've got proportion. There's a little bit

49:38of a deeper

49:40dive into the data to really sort of pick

49:43out some nuanced narratives. And then a bit

49:49more about

49:50diversity in general. And it's kind of

49:52going into the different demographic groups

49:55as well which is

49:56really good. Then it goes into the various

50:01nuances as well. So this is a classic story

50:04. As you scroll

50:05down you get more deeper into the story and

50:07it's driven by data. And I think it leaves

50:09you wanting

50:10to take action at the end of it. That's

50:12probably the intent of this viz. Ends on

50:15perhaps one day

50:16soon I will see someone who looks like me

50:18win Australia's most prestigious art prize.

50:20And that's

50:20really the point. The point is less about

50:23the establishment. It's more about for

50:28there to be

50:29interest and for people to be inspired.

50:32They have to see someone like them winning

50:35those things. So

50:36this viz sort of just goes into that.

50:39Really really cool. So yeah. I'm really

50:42looking forward

50:43to seeing all of these competitors go head

50:47to head for Iron Viz. I've been a judge for

50:51Iron Viz in the

50:52prelim stages in the past. So I think it'll

50:54be really nice. I didn't do it this year so

50:56it'll

50:56be really nice to see what data set they

51:00get. How they're going to engage with it.

51:04And yeah.

51:05I'm really really hoping we're treated for

51:08a show as well because it's easily one of

51:10the best places

51:11to go and learn something new about Tableau

51:13. Watching people build something really

51:15really

51:15quickly in 30 minutes which just brings out

51:17so many of these speed hacks that you have

51:19to sort of

51:20get used to sometimes. And sometimes you

51:22don't even know they exist so I really like

51:24watching

51:24it for that reason. I'll be if I go to

51:27YouTube I'll be doing a live stream. So I

51:31'll be doing

51:34a live stream with Andre for Iron Viz and

51:37the keynote itself so be sure to check that

51:40out.

51:40And yeah join us again. Hopefully you've

51:43enjoyed this little test live stream that

51:45we've done.

51:46I don't know how many people watched. I'm

51:48using a service called restream.io to kind

51:50of

51:51check that everyone is everyone can watch

51:54in the various places but I think it's

51:57worked really

51:57really well. I hope it's worked really

51:59really well. I haven't had comments to say

52:00it hasn't worked so

52:01I'm really glad that this is going well.

52:04Just checking the comments. Wondering if

52:07that's small multiples or 20 separate Vizs.

52:10Oh okay so Faustin I 100% guarantee that is

52:13it's actually small multiples with maps

52:17because the only way layers could work

52:20across all of them is if it was one chart.

52:23Layers can't work across multiple Vizs.

52:26The image of the artist looked misaligned

52:29within each of the donuts. Okay so now

52:32now you're making me go back to the Viz

52:33gallery. Okay here we go. So

52:36uh are you talking about this one? Oh no I

52:39think you're talking about a previous one.

52:44God I can't even remember which one we're

52:46talking about so

52:47uh not this one. Go back in here I think

52:51you're talking about this one. Yeah here we

52:55go.

52:56Uh you might be right actually. Did it ever

52:59load? Did it ever load? Yes it did load.

53:04Wow that took a long time to load. I'm glad

53:06I even remembered to come back to this. So

53:08here we go. To work like an artist. Here we

53:11go. I think your point about misalignment.

53:13This could be like a like a like a trick.

53:19So let's see if I can zoom in. Can I zoom

53:22into this?

53:23Yeah I can. So when I zoom in you can see

53:27that for example here spacing gets messed

53:32up.

53:33But if I zoom out.

53:34Oh no you're right you're right some of

53:38them are misaligned. It might be the might

53:42be to do with

53:43Tableau Public because Tableau Public does

53:46mess around with um with with positioning.

53:50So and

53:51actually it's this this should be a feature

53:53shouldn't it? It should be possible to

53:55align

53:55things to a grid. It's technically possible

53:58but it's not possible so I'll leave that

54:02for another

54:03day. So yeah they're really really good

54:05point there. But you know you can kind of

54:07get the gist

54:08of what the person is trying to do here. I

54:09think sometimes when you look at these

54:10things you have

54:11to remember that people are trying you know

54:13to do these in their own free time. So I'm

54:15not I'm not

54:15I've sort of overly critical about things

54:17that sort of take a short amount of time to

54:19fix unless

54:19they're going for iron vis in which case I

54:21can be pernickety and say well look you

54:23could have spent

54:24a little bit longer just aligning these

54:26things. But if I was to just let's just

54:28draw a square

54:29because I know square straight. You can

54:32kind of see here that at least the images

54:34are all

54:34aligned to each other. Those two are yeah

54:39the bottom one isn't and so I think that's

54:42probably

54:43what's going on. The images are aligned to

54:45each other but you couldn't quite get the

54:47charts and

54:48the spacing between the charts to perfectly

54:50line up. That can be really really hard to

54:53do.

54:53I could understand why someone would get

54:55frustrated and give up doing that as well

54:57so

54:58yeah really cool. Okay that's been it.

55:02Maybe the background images are all one

55:06background images.

55:07Potentially now you're making me now you're

55:10making me have to sign in so let me do this

55:13.

55:13Let me take this off screen. Sign in so you

55:16don't see my password. Here we go

55:24and then go back in and then we are going

55:27to be able to

55:29oh no it's going to take a while to load

55:33again.

55:34Oh no here you go make a copy maybe I don't

55:38have to wait for it to load.

55:41Let's just get this. I really want to check

55:49this make sure that it's

55:51I think if it took a while to load the vis

55:57is going to take even longer to

56:00load the editing experience. Let's just

56:03wait for this to load.

56:05Nope okay I'm probably going to download

56:13this and have a look. I'm not going to do

56:18that now

56:19because I'm on my mac and my opt loads

56:21right as I'm about to give up. Okay cool.

56:23So let's go into the vis itself and if we

56:27look at the vis it doesn't look like

56:31yeah you're right it might actually just be

56:34one image and that's why they're not lined

56:36up so

56:37they weren't lined up correctly in the

56:39layout tool they used. So

56:45one of the things you can do in Tabla

56:47Public is just disable images and then just

56:51go see what

56:52it looks like. So what I'm trying to

56:54understand here is this floating? Yeah it's

56:56floating there

56:57you go so this is all floated I've just

57:00moved it off and then yeah that is one

57:03image so could be

57:05easily aligned. Could be easily aligned

57:08which needs a little bit more setup. What

57:10is interesting

57:12about that is I feel like sometimes I feel

57:14cheated when I find out that something like

57:18this is

57:19actually mostly an image so if you just

57:22move that off if I actually let's undo a

57:25few steps

57:26and this is not I'm not sort of making a

57:29judgment on this vis at all I'm just sort

57:33of highlighting

57:34sometimes a disappointment that I sometimes

57:38have when you open a vis and something that

57:42could be

57:43done in Tablo isn't done in Tablo but

57:46likewise something you've done outside of

57:49Tablo kind of

57:51gets limited because in Tablo you can only

57:54work with a certain set of features so for

57:57example

57:57the only way to do this is to add an image

57:59they couldn't for example have gone and

58:01created like

58:02a vector image that then scales nicely this

58:04will always look not so great because it's

58:07an image

58:07therefore it won't always be sharp so if I

58:11move that and then get rid of the image and

58:17then

58:17go back and move this back up you can see

58:21that it's just basically a small multiples

58:26chart

58:28here we go and let's just line that up like

58:31that yeah I think that's about right

58:34a small multiple charts and then the image

58:36behind was sort of speaking on behalf of

58:39the legend so

58:40yeah super interesting super interesting

58:44okay good to sort of dive into that yeah

58:49catch me and

58:49Andre on the live stream tomorrow we'll be

58:52on a little bit earlier we'll be on from 4

58:5445 I think

58:55the live stream starts at five o'clock we

58:57might be on earlier than that actually for

58:594 30 probably

59:00and but I said 4 45 because I just want to

59:02make sure we set up properly beforehand so

59:04yeah that

59:05will be that'd be great if you've joined

59:07across lots of different places YouTube

59:10wherever you've

59:13joined from YouTube, Twitch, LinkedIn,

59:15Twitter, any of those, Facebook thank you

59:17for tuning in

59:18and yeah I think it's been a really really

59:21good really good session. Love from India

59:25someone's asking a question in the comments

59:29how to remove hierarchy from a sheet

59:32taking a month and year that's a super that

59:34's a super specific thing I always what I

59:37always say

59:37with these kind of comments is like I can't

59:41help everyone that reaches out all the time

59:44so what I

59:44always encourage you to do is to either a

59:47find a video where I've already talked

59:49about that or

59:50Nitish you can head into Discord and ask me

59:53there where there's a little bit more scope

59:56to

59:56sort of talk to me and we can have a look

59:58at some screenshots and stuff like that

60:00or you can head to if you go to any of my

60:03videos let's say you go to this one about

60:07installing

60:07Tableau server if you go down to my

60:10description at the end you can always see

60:14this link to share

60:16feedback and suggestions and if you go in

60:18there you can drop some feedback in here

60:21and in here

60:21I actually do go back in and respond to

60:24people so if I take this dual axis one for

60:26example we can

60:28share screenshots I can actually help out

60:30and most of the time it's actually quite an

60:32easy thing to

60:32solve and we can actually figure it out but

60:34then I also get valuable feedback about

60:36videos that I

60:37can make in the future to better clarify

60:39that point and then that helps everyone so

60:41that's

60:42how I encourage everyone to share feedback

60:44I try and get to these as much as quickly

60:46as I possibly

60:46can and then what happens is once they've

60:49sort of been answered here I send them into

60:51the roadmap

60:52and once in the roadmap the videos get made

60:54so that's basically the pipeline and that I

60:56think

60:56is a better way of helping absolutely

60:58everyone rather than just sort of going

61:00into YouTube

61:01comments because YouTube comments is not a

61:03great space for for that kind of stuff so

61:05yeah

61:07just please try and do that if you spend

61:08the time doing that I promise you I will

61:10reach back out to

61:11you and we'll get that going so yeah thank

61:14you everyone for tuning in. Fosten thank

61:16you for

61:17staying for the whole stream really really

61:19appreciate it and I'm glad you enjoyed the

61:22VizGallery tour. I really didn't finish the

61:24VizGallery tour I really need to do it more

61:27justice I covered one and a half rooms and

61:31there's four rooms so I really do have to I

61:34think

61:35come back we'll have to finish how many

61:37other visits we've got one two three four

61:39let's go in

61:42here one two three four five six seven

61:46eight nine so we've got nine visits

61:50uh ten eleven twelve thirteen fourteen

61:54fifteen sixteen seventeen eighteen nineteen

61:58nineteen visits to go and we've done

62:01probably um I'm not going to count them

62:03probably done ten

62:04so we'll come back and finish that at some

62:06point this week during Tablet Conference it

62:08's probably

62:08the best time to do it we'll just stream

62:10across everything and we'll get that done

62:12so yep

62:12thanks for tuning in everyone uh yeah and I

62:15'll catch you I'll catch you

62:16tomorrow in the next live stream thanks for

62:21watching and yeah take it easy

62:23you

62:29.