Esri Developer Summit in Palm Springs

Next week  I will in Palm Springs (CA) at the 2015 Esri Developer Summit. On Wednesday 11th of March I will be talking about IBM Analytics and Esri solutions working together. We will show very cool stuff!


This will also be a perfect opportunity for me to learn more about the core of Esri solutions. Do you want to learn more about Esri solutions and you are not going to the conference? Subscribe now to the free MOOC here:

As I recently showed, IBM SPSS Modeler 17 is coming with some exciting new geospatial features.  We have integration with Esri to provide powerful Predictive Analytics.

IBM SPSS delivers deep statistical analytic tools used to uncover patterns, trends, and probable insight from data. Similarly, ArcGIS geospatial analytics and visualization capabilities unlock patterns, reveal new insight, and generate likely outcomes in location-based data. Together, SPSS and ArcGIS provide a one-of-a-kind, geospatially enabled statistical solution that derives deep patterns in data and predicts future results.


Learn more about the Esri and IBM Partner Alliance here:


New IBM SPSS Modeler 17 and SPSS Statistics 23!

Today we are launching the new IBM SPSS Modeler 17 and the new IBM SPSS Statistics 23. We are so excited about it! Both products are coming with a lot of new powerful features.

Just to mention my favorite ones, now we are including powerful Geospatial Analytics. We are adding support for geospatial data sources, geospatial data preparation, new predictive models to deal with geospatial data and also powerful mapping visualization. Also we adapted most of our algorithms so they can now work with Big Data. You can learn more about some of this new features here:

-Modeler Trial: Get dirty with data mining but keep your hands script-clean

-Introducing the new IBM SPSS Geospatial Analytics features


Some months ago we added some predictive SPSS extensions to do beautiful maps and options like geocoding or reverse-geocoding.

I would like to highlight  as well the new IBM SPSS Modeler 17 Personal edition, where you will get enterprise power in the hands of an individual user. You can download today a free 30 days trial and start using the most powerful data mining workbench. You have only to fill the form and that’s it!

 Download Trial Now! 

Here you can find an accurate list of all the new features of both products:

– IBM SPSS Modeler 17 – Official Announcement 

– IBM SPSS Statistics 23 - Official Announcement 

We are also announcing new IBM SPSS Collaboration and Deployment Services V7.0 and IBM SPSS Analytic Server 2.0 – Official Announcement

Remember that you can deploy easily your models using the new Predictive Modelling IBM Bluemix Service that was recently announced.

How can you learn more about what’s new in SPSS Statistics and SPSS Modeler? Join the IBM SPSS “What’s New” Webinar Series!

SPSS is now on Bluemix!

Great news for all the developers. You can now deploy the predictive models created using IBM SPSS Modeler to your applications.


It is very simple, simply log in Bluemix and you can upload your SPSS stream in the Administration Dashboard. Once deployed, your applications can access your models via requests and score input data. You can also refresh your predictive models without stopping your applications.

You can access IBM Predictive Modelling service via REST API using any programming language.  I will do a tutorial and video showing you how easy is to get started using it.

Presenting at CSP New Orleans 2015

Tomorrow I will be travelling to New Orleans for first time in my life. I will be presenting in the 2015 American Statistical Association Conference on Statistical practice (CSP).

You can learn more about the conference here:

I will be in the IBM booth and in some of the sessions, talking about SPSS Modeler and SPSS Statistics and R integration. Looking forward to meet you all!


Winner of Balon d’Or analyzed in 2 minutes

In the previous post I showed some new nodes based on R that can be installed in IBM SPSS Modeler. It takes 2 minutes to get the CSV with the results of the votes of Balon d’Or (that Cristiano Ronaldo won for 3rd time) and build a stream like the one below and get a word cloud, a pie chart in the form of iFrame easily shareable and a HTML table also in the form of iFrame. SImple analysis, but quite interesting, easy to share and easy to perform!


The hashtag analyzed to create this wordcloud is #BalonDor2014, based on 10,000 tweets:

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Analysis of #CharlieHebdo sentiment with SPSS

With the horrible attack in Paris  in the Charlie Hebdo office, we are experiencing once more a new way to be informed about last news, this time powered by Twitter. It is amazing how fast people are sharing thoughts, photos, links, and absolutely everything. It thus becomes the data set of the world population’s mind in real time.

In this post I am going to show how to query tweets and do some simple analysis using IBM SPSS Modeler and the new SPSS Predictive Extensions based on R. All this analysis…without any coding at all!  We are going to do 3 things:

– Create a Word Cloud with a new WordCloud node based on the R wordcloud package.

– Integration of RCharts with IBM SPSS Modeler. RCharts (developed by Ramnath Vaidyanathan) was born as the initiative to bring powerful JavaScript visualization for R users. So they can now create these interactive charts without having JavaScript skills, only with R. With this integration within SPSS workbench, you don’t even need to know R in order to use them. Simply drag and drop the node and start getting powerful results that are easy to share. These are the libraries available now in IBM SPSS Modeler:

-Integration with the new R package HTMLWidgets. This package enable you to add new types of HTML output to R Markdown documents. There are different types of widgets like maps, charts, 3D scatterplots and more.


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FCBarcelona vs Real Madrid Players Twitter Popularity

I created a simple visualization showing the number of followers of each of the players of FCBarcelona and Real Madrid.

In this case the result is a simple bar chart. Barcelona fans, don’t get mad, Messi doesn’t have Twitter account…he is more active on Facebook and I will generate the same kind of report based on Facebook data.

Below you will find the source code to do all this and in the coming days I will illustrate how to get exactly the same results but using only SPSS, some new R nodes and without coding at all. So…stay tuned!

Link to Full Screen Chart

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SPSS Node to plot interactive maps

IBM SPSS Modeler already includes map capabilities but far away of being perfect. Now we can create beautiful maps in a matter of seconds and all in the same SPSS Modeler workbench thanks to the integration of SPSS Modeler with R Programming Language. The extensions are available in the SPSS Modeler Marketplace that we launched last week and they are free.

In the maps you can use the same color for all points or use a legend column to specify a color code. This legend may be categorical or continuous. Several color palettes are available (sequential, divergent, qualitative or monochrome) covering all possible use of the node.

More precisely, this node generates an HTML file which can be saved to a specific directory and/or opened in the default browser on execution. This html page is an interactive map, that is to say you can move, zoom in and out, etc. The R package used is called PlotGoogleMaps.

Download extension: Plot Spatial Data

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