This post is about labeling a trellis chart that's already in dual axis.

In earlier posts on labeling trellis chart, we use one axis for the labeling function. Many times, the chart is already in dual axis (both axis are taken). What should we do then?

Here we are going to show two approaches about labeling a dual-axis trellis chart: 

  1. Labeling with Stacked Axis
  2. Labeling with Shared Axis

Labeling with Stacked Axis

This is a simple approach. Please refer to this post on composing a label and on the formula for Label Height. Let's place the Label Height pill on the Rows to the left of the dual-axis measure pills. Then each trellis cell is split in halves. The labels will be placed in the top half. The chart is in the lower half. We can see that two axis are stacked up.
In the formatting panel, we can remove the line between two halves by lowering the Row Divider Level.
The only drawback of this approach is that the dynamic range of the chart is reduced by half. To some, this may be good enough.

Labeling with Shared Axis

In this one, we will use the Measure Names/Measure Values approach where two or more measures can share the same axis. First we create a shared axis between Label Height First/Last and the key measure (Unemployment Rate), before dual-axis-ing with another measure. This approach, the dynamic range of the chart is not affected, given the same canvas space.
The Label Height Scaled field is created as follows:
The first window function is to compute the max value of Unemployment Rate across the entire Date and Country Name. Then it is scaled by a parameter that is >=1. This formula will guarantee that the data marks for labels will be no lower than any data mark in a chart. This fact will be used in label settings where we only show those labels at the max Measure Values.

The field Label Height First/Last is as follows, which keeps only the necessary data points.
We can use the Scale parameter to fine tune the dynamic range of the chart.
Note that in the Label setting, we need to select Measure Values and set the labels to be at the max. Allow labels to overlap other marks.
We showed that even for a dual-axis-ed trellis chart, we can still label them.

The demo workbook can be downloaded here. 

Feel free to leave comments or contact me at twitter@aleksoft.
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Jake and I collaborated on a dashboard. He told me that he learnt a way to create an in-place help page in Tableau. He first saw it at a conference somewhere and couldn't recall who the speaker was. So I am blogging here about it but the credit goes to somebody else. If anyone knows who the original creator is, leave a comment below.

The key idea is to float a semi transparent worksheet on top of the dashboard, where a help text box is strategically placed on top of each chart. This way, we can explain how to view each chart and what data points are important, etc. This worksheet is collapsible by a show/hide button.

(Addendum: Jonathan Drummey has a much better Tableau-only solution that I missed from his presentation. I only caught later part of the presentation. You might ask him about it if you know him.)

In a recent presentation, Tableau visionary HOF Jonathan Drummey talked about a solution for a variable row heights in a text table. The question apparently came from a perfectionist tableau designer. Tableau is not really made for text processing.

[Forward: I asked ChatGPT o1-mini who then wrote this. Hope it helps. All the credit and the blame go to ChatGPT.

I went over the plan and it looked decent. Whether it can be done in 30 days or not, it depends on the person and the time he spends on it. By the way, ChatGPT can be a really good study buddy. Ask it questions whenever you have any.]

This comprehensive 30-day plan is designed to take you from a Tableau beginner to an advanced user.

Mundane charts are those basic ones that all data visualization beginners can create, possibly with Show Me in Tableau. They are the boring ones at times because many people tend to create fancier ones just to show off. 

I actually like the mundane ones a lot because they are not only easy to create but also easy to be read by the stakeholders.

Pareto chart is a very powerful tool, providing great insights into the data set and into the business at stake.

A while ago, Sharon came to me asking a question regarding Pareto Chart Multiples. That is, per each category, there is a Pareto chart. And we need to create Pareto charts for all the categories. This chart allows us to quickly view the few most important factors that matter to the majority of output in each category. 

Vilfredo Pareto (1848-1923) is the father of the 80/20 rule: 80% of output are produced by 20% of input. It works magically well through all the years.

[Update: The product manager Wilson Po alerted me that the Viz Extension is still a work in progress. It will not be part of the incoming version 2024.1. Instead, it will be released later in 2024. Just be patient]

Tableau 2024.1 is coming. I got a chance to test drive it. As I wrote a bunch of posts on Sankey chart tutorials in the past, I am most excited by the new Sankey chart type. Here I would like to share what I learnt. This is a quick preview. Your comments are welcome.

Buzzfeed recently asked Midjourney to draw images of people in 50 US states.  So the AI drawing tool created 50 images of couples that represent its perception of the people in each state.

I just put the images into a tiled map in Tableau. Each image is added as a background in each tile.

And also I added Viz-in-tooltips to enlarge an image to look at more details.

Feel free to download the workbook and explore it.
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The folks at Business Expert had a brilliant idea. They asked AI's perception on UK banks as a dog. I am inspired to do the same on US banks.

ChatGPT is asked to confess its perceptions on top US banks as a dog. Then Midjourney is tasked to generate the images. Check out what dog is matched to your favorite bank.

All are put together into a single-sheet Tableau dashboard. Feel free to check it out.

Through my previous post on the new Sankey chart type, I got in touch with Wilson, the product manager leading the development of this new chart type. I made some comments on creating multi-level Sankey via cascading of single Sankey's. He told me it can be done already by dropping more dimensions into the Level card.

As an enthusiastic user of Sankey charts, I am excited to learn that a Sankey chart type is being piloted in Tableau Public (Web Edit only). I wrote about Sankey chart design in multiple posts. Sankey chart may appear in different forms depending on applications. 

I played a little with it just to evaluate it. Here are my initial findings and comments.

1. The basic Sankey

I can quickly create a Sankey with 2 dimensions and 1 measure.
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