This is the third post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of the standard distribution. I’m often struck by …
This is the second post in our ‘eat your greens’ series – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this post we’ll look in more depth at the concept of testing versus inferring. One of most daunting …
This post is the first in a short series that we’re calling ‘eat your greens’ – a back to basics look at some of the core concepts of statistics and analytics that, in our experience, are frequently misunderstood or misapplied. In this first post we’ll look in more depth at the concept of statistical significance. …
In June of this year, IBM released the latest version of SPSS Statistics. Version 27 introduces several additional analysis procedures as well as new system enhancements. In this report we take a tour of some of the most valuable improvements that have been made. There’s a video of this tour here as well. Bootstrapping and …
PS Imago Pro is a statistical analysis and reporting solution based on IBM SPSS Statistics. Indeed, apart from the inclusion of an additional menu, users of SPSS Statistics may find that the data analysis module of PS Imago Pro looks almost identical to its SPSS counterpart. However, as Figure 1 shows, this additional menu contains …
Lorna: Could you start just by talking a little bit about your own background and how you’ve come to be working with data? Mark: I suppose my background’s different from a lot of people who do this kind of work. They often come from a maths, stats or science background, but I didn’t do A-level …
Expert insight – Mark Langer Crame, Senior Data Intelligence Team Lead, Jisc Read More »
You may have noticed that many media outlets are illustrating the tragic course of the coronavirus (COVID-19) pandemic by employing charts with log scales. These log values refer of course to the mathematical concept of logarithms. This is something that most of us learn about in school when we are taught that a logarithm is …
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. However, many other modules are available and customers often want to use their own so a frequent question is how to include them. There …
Adding New Modules To Jython Scripting In IBM SPSS Modeler Read More »
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. The Modeler scripting API documentation (PDF) mentions a findAll() function: d.findAll(filter, recursive): Collection filter (NodeFilter) : the node filter recursive …
Using the find all() Function to search for nodes Read More »
This infographic provides an overview of the four main families of approaches to predictive analytics. Prediction encompasses applications that aim to estimate or predict the values of a key target field. Segmentation refers to techniques such as cluster analysis which attempt to find the most ‘naturally occurring” groups within a dataset. Association modelling discovers groups …
An overview of the four main approaches to predictive analytics Read More »