![hide axis tableau on mac hide axis tableau on mac](https://help.tableau.com/current/pro/desktop/en-us/Img/format_range2.png)
Once it is done, just add the "Link" column in the dataset.
![hide axis tableau on mac hide axis tableau on mac](https://eyeontesting.com/wp-content/uploads/cma_attachments/1.59846180650E+12_rightclick-measure-to-see-show-header.png)
NOTE - the order of the path should be ascending when Min and descending when Max. In the Excel sheet with the model data, we will double the whole rows and add 2 columns:Ī "path" column: order in which we will link the pointsĪ "Min or Max" column: we will tag the curve whether it is the min line or the max line.
HIDE AXIS TABLEAU ON MAC DOWNLOAD
Please first download the Excel model file from Data + Science. I would then have far less lines to calculate and show on my screen. And if I could do that, I could link these lines to build a polygon. Because I could easily get all the lines describing each flow on the diagram, I could define the upper line and the lower line of each flow. Showing several thousands calculated lines + colors in the same viz takes some resources, so I wanted to simplify my viz. I managed to build my viz using Jeff's method but faced an issue regarding the performance of the viz. I also had an ID field, but I didn't want to use it. I didn't want to use SQL or an Excel Macro to prepare the data. I just wanted to be able to build my viz using the model provided by Jeff and a dataset with Step 1, Step 2 and Step 3 along with 1 indicator (size) and use dates to perform filtering. Starting with Jeff's method, I wanted to add some interactivity on my diagram and minimize the data preparation. NOTE: New blog post explaining new method and formula posted here using SIN() instead of Sigmoid function.Īs I was working on building a Sankey Diagram with Tableau, I found the excellent articles by Jeffrey Shaffer from Data + Science for developing a methodology to build a Sankey in Tableau. Building a Dynamic Sankey Diagram made of Polygons in Tableau (Guest Post)