Vizible Difference

After I posted an article yesterday on seamless sheet swapping, I remembered I had found something interesting a while ago regarding the sheet swapping of packed bubble chart. The problem was that, one can't filter the packed bubble chart completely using the sheet selector.

https://community.tableau.com/thread/176789

The cause of the problem is due to no pills on Rows/Columns shelves. These are the gridless chart types. The solution was to add some "Blank" dimensions to Rows/Columns and thus the problem got fixed. Remember to right click the Blank dimension and un-check "Show Header".

Click this picture to go to the interactive version.

[Updates on the technique:

1. Seamless Sheet Swapping with Containers

This fixes the problem of displaying tooltips in lower worksheets.

2. Sheet Swapping with Pie/Tree Map/Packed Bubble Charts

It shows how to turn on/off gridless charts in sheet swapping.

]

In this blog, we propose an approach that solves the problem of sheet alignment, no matter how many sheets you have.

Sheet swapping/selecting is an interesting technique that has broad applications.

Recently some of the our tableau users reported issues like this:

"Internet communication error: Peer certificate cannot be authenticated with given CA certificates."

Thus they can't connect to the Tableau Server to publish their work.

The Tableau knowledge base article doesn't seem to help:

http://kb.tableau.com/articles/issue/error-peer-certificate-cannot-be-authenticated-with-given-ca-certificate-online-tableausoftware-com

Here is a solution from our IT folks.

Sexual discrimination does exist. California is no exception. We have data to prove it. There are man diseases and woman diseases. Some of the diseases are predominantly in men and others are more in women. But the distribution by gender varies depending on counties and years.

In the previous post, we showed the trends of 65 infectious diseases in California's 58 counties from 2001-2014.

Here we added two views on top diseases and top counties which can be further segmented by year and gender. It took time to think and create various views. I feel it makes sense to post them as I create them.