…now that Jon’s got me started on python and dialogs, is there something out there somewhere with python programming or scripting (as I understand it, I’ll need the latter to access the spss output window, but the former will suffice if I don’t need that capability – is that correct?) that might get me started on creating a custom codebook from some survey data created outside of spss? The data will have variable labels and value labels, where the survey questions are the variable labels (although there will be some extraneous code I’ll have to modify). I know there is something built-in to the spss menu, but I need to customize much more than it permits. Best, Jeff |
This is pretty generic, not sure exactly how to help. I have an example here
of reading in data from excel files and applying it to meta-data in SPSS, https://andrewpwheeler.wordpress.com/2016/11/25/downloading-and-reading-in-american-community-survey-data-python-and-spss/, but unless doing the exact same thing may not be obvious how it can be applied to your situation. More specific you can be the better advice you will get I imagine. ----- Andy W [hidden email] http://andrewpwheeler.wordpress.com/ -- Sent from: http://spssx-discussion.1045642.n5.nabble.com/ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
In reply to this post by Jeff6610
You might find the Programming and Data Management PDF that you can download from the IBM Predictive Analytics site helpful. It has lots of Python and R code examples for doing typical SPSS-related tasks. I should also point out the Custom attributes feature built in to Statistics. You can use it define your own custom metadata that will be saved with your sav file. If there are properties not accommodated by the standard variable and file metadata, this can be very useful. Custom attributes are used within Statistics in the Data prep option to define validation rules that can be run against a dataset and generate reports on violations, but can use these for many other purposes. On Tue, May 29, 2018 at 5:56 PM Jeff <[hidden email]> wrote:
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