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SPSS Modeler Extension Nodes – Embedding R and Python Code in Modeler

SPSS Modeler 18.1 introduced five new nodes that allows you to embed Python and R code in a Modeler Stream. With these nodes you can extend and embrace open source in SPSS Modeler, to perform tasks you can’t easily accomplish with out-of-the-box Modeler nodes. ...

Sidney Phoon's profile image

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Searching For Nodes Using SPSS Modeler Scripting

Using The findAll() Function Most SPSS Modeler scripts include code that locates an existing node e.g.: stream = modeler.script.stream() typenode = stream.findByType("type", None) However, some scripts need to search for all nodes - maybe by node type but also matching some other criteria...

Archive User's profile image

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Harvesting Data from Facebook with IBM SPSS Statistics

Update: By popular demand click here to download the extension and code We all know that SPSS Statistics can import data from a wide variety of sources, but what about importing data from social media sites such as Facebook? Turns out you can do that too with a relatively simple extension...

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Ranking algorithm for the layman - New Modeler Extension

There are a lot of ranking algorithms for you to use and represent your data. Now, that doesn't mean that the ranking algorithm is the most appropriate for your situation. It all depends on what you are trying to accomplish and who will be the audience of your final product. Some ranking...

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Learn SPSS Statistics at the Big Data University in Chinese Edition

The BIG DATA UNIVERSITY Chinese Edition will be delivered this May, and now the Beta version is available. We are launching our free training about statistical analysis technology and in this training you will learn the basic of IBM SPSS Statistics including programmability. The...

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New Plotly Extensions for SPSS Modeler

Today, I'm very excited to announce three new extensions developed by Ondrej Szekely , who is an IBMer and member of the SPSS Predictive Analytics Community. His extensions use the Plotly R Package which allows the creation of interactive data visualizations. After Ondrej developed these...

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Spark + SPSS Modeler: Boosted Trees, K-Means, and Naive Bayes

We are excited to announce the release of 3 new extensions for SPSS Modeler using MLlib implemented algorithms and PySpark. These three extensions are Gradient-Boosted Trees, K-Means Clustering, and Multinomial Naive Bayes. Niall McCarroll, IBM SPSS Analytic Server Software Engineer, and I ...

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Benford's Law Extension for SPSS Statistics

A few years ago, I learned about an interesting mathematical phenomenon known as Benford’s law, or the first digit law. The law states that most “natural” numbers begin with the number 1, followed by 2, followed by 3, and so on. There are many great blog posts and videos that do a good job of...

Douglas Stauber's profile image

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Updated docs on programmability in SPSS Statistics

Check out the new version of the Programming and Data Management book (for SPSS Statistics 24). The book covers data management using the IBM SPSS Statistics command language, programming with IBM SPSS Statistics and Python or R, IBM SPSS Statistics extension commands, and IBM SPSS Statistics...

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Create Data Visualizations with rCharts - SPSS Modeler Extension

Do you like interactive data visualizations on the web? Want to create your own? Then you should download the newest extension for SPSS Modeler, rCharts Basic Charts . This extension uses the rCharts R package to easily create bar, line, and scatter plots ready for the web. To see...

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