Datashoptalk.com Website Review

A few years ago, I wrote a post on how to add a probit plot to a Spotfire project was a little painful.  It violates several of my “blogging rules” developed over the years.  For example, I should have simplified the example.  I wrote it, and it was even hard for me to reread.  Blog and learn.  Blog and learn. Anyway, early in the post, I note, ” It is possible to create a single probit plot with multiple variables, but that requires some data wrangling and is not included in this set of instructions.”  Well, these days all my probit plots contain multiple variables.  A manager recently asked me to write up a set of instructions for this common task.  So, here you go. First, what exactly are we trying to create?  Here is an example.  You’ll be familiar with the log scale, and as you can see there are Presumably, the user has a data table that looks like the one shown below.  Each variable is it’s own column. The first step to creating a multiple variable probit is to unpivot this data with a transformation. The end result will look like the The column names Measure and Value can be changed to names the user finds appropriate. The table will be narrower and taller. Creating the plot is actually more time consuming than wrangling the data.  Adding the secondary lines takes the most time and is the axis of the visualization, the calculations will update with filtering. 30) and modify.  For P70, the value is 30.  For P60, the value in the expression should be 40, and so on. 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, and 10000. Each one must be added individually. It’s been 3 weeks since my last post.  I haven’t given up Spotfire blogging.  I just went on a nice long vacation, and then needed a week to recover from my vacation.  But, I’m back on track, and this week’s post is part 6 of the 7 part series on Decomposing Spotfire projects.  This piece focuses on decomposing the text area and scripts within the text area.  Because there is a lot you can put