[ An update on this topic has been posted: Creating Visual Tooltips Anywhere ]

Text tooltips could be a little dull. With visual tooltips, we have more options for data visualization. Drilldown is one of the easy options.

In the Tableau Ambassador 2016 viz, by hovering mouse on a person's picture, you will see a bigger picture and details.
My fellow Tableau Ambassador Rody Zakovich asked me to write about it. I am so obliged.
To illustrate the technique, I came up with a simple example. Please click the picture below to view the interactive version.
Here are the major steps for creating the visual tooltips in the above example:

1.Create a bar chart for the sales in 2011-2014, based on the superstore data set.

2.Create one tooltips sheet for the year 2011, which shows breakdowns in product category.
- Create a filter Year2011 and select True after putting it on the filter shelf.
- Duplicate the sheet 3 times for the years 2012-2014 with some change in the filters: Year=2012,2013,2014 etc. Namely one tooltips sheet per year. Note that the filters are mutually exclusive. Only one of the filters will be true at one time.

3.Start a new dashboard and put the bar chart on it. Remove the title and legends for simplicity.

- Drag each of the tips chart (in Floating mode) to the dashboard and place it near the bar of the same year.

4.Create a dashboard action with filter by hovering. And select the "Exclude All Values" when clearing all the selections.
Voila, we just built a dashboard with visual tooltips. This technique was used in creating this Ambassador viz. I got the inspiration from a VizWiz article on sheet popping.

The tooltips charts don't have to be uniform. Since each tips chart is independent of the others, we can use a different chart for each year. See example 2 in the viz.

Caveats:
1.The data marks under the tooltip sheets won't be sensitive to mouse hovering. So the tooltip sheets have to be carefully positioned.

2.The technique is suitable for dashboards with relatively sparse data marks.

3.The positions of the visual tooltips are fixed.

4.When one data mark is hovered upon, all tooltips' frames will be lighted up briefly. It is a transitional effect. If possible, lay the tooltips sheets on top of each other like in the Ambassador viz, a way to minimize the effect.

5.The regular tooltips may co-exist or they can be turned off.

There have been other options to put visual charts directly within Tableau's tooltips.
http://kb.tableau.com/articles/knowledgebase/barsintooltips
This VizWiz guest post by Rody Zakovich is also a great example:
http://vizwiz.blogspot.com/2016/03/tableau-tip-how-to-create-100-mark-unit.html

In the last Tableau conference in Oct. 2015 at Las Vegas, we have seen a demo on showing charts in the tooltips. So what I got here might be short lived. But it will remain an alternative for creating great dashboards.

For the impatient, you can have it today or even yesterday as shown above.

Last but not the least, I would challenge you to come up with vizzies using the technique described here. Let me know in the comments if you wish.

Enjoy Tableau.
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(Refresh the page if you want to view the gif image multiple times. Or go to Tableau Public and click the button at the top-right corner.)

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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