Choose from four new on-demand webinars designed to show you new IBM SPSS capabilities in action, including predictive extensions, big data algorithms and more.
Learn how to convert SPSS Statistics data into Python objects, with an example converting to a Panda's dataframe. With only a few lines of Python, you can easily convert a Statistics dataset into a Panda’s dataframe, Numpy array, or NetworkX object.
In this article, we use SPSS Modeler scripting to generate a stream to scan a named data set for categories in a particular field, present the available categories to the user, and generate a histogram of a numeric field for the category chosen by the user.
IBM SPSS Modeler supports Python scripting using Jython, a Java[tm] implementation of the Python language. Modeler versions 16 and 17 use Jython 2.5.1 which includes a number of useful and popular modules. Learn more on this article
When using SPSSINC TRANS, you have a wider array of functions to compute on cases in SPSS. Within the local session, you can create your own python functions within a BEGIN PROGRAM and END PROGRAM block. In SPSSINC TRANS you pass in the values in the current dataset, but you can also create functions that...
I was working with geographic data and wanted to restrict the matches to within a certain geographic distance. To do this I used the FUZZY extension command, which allows you to input a custom function. To illustrate I will be using some example data from my dissertation.
Examples of how you can use the "TO" argument in both passing variables lists within the python formula and assigning variables to the results. Here is a brief example of their use.
Here I will show how one can use the NYS SAM Address database and their ESRI online geocoding service.
Examples of how you can use the “TO” argument in both passing variables lists within the python formula and assigning variables to the results.