Articles by Bora Beran

Scaling RServe Deployments

October 20, 2016 | Bora Beran

Tableau runs R scripts using RServe, a free, open-source R package. But if you have a large number of users on Tableau Server and use R scripts heavily, pointing Tableau to a single RServe instance may not be sufficient. Luckily you can use a load-balancer to distribute the load across ...
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Trump vs. Clinton in N-grams

October 4, 2016 | Bora Beran

Presidential election campaigns are heating up and you all know what that means. Word clouds? I still remember visualizations summarizing Romney-Obama debates in 2012 but one thing that slightly bothered me back then was that almost everything I saw were just counting single words so even the one of the most ...
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Correspondence Analysis in Tableau with R

September 23, 2016 | Bora Beran

Correspondence analysis is an exploratory data analysis method for discovering relationships between two or more categorical variables. It is very often used for visualizing survey data since if the matrix is large enough (which could be due to large number of variables but also possible with small number of variables ...
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Using your R models for in-database scoring

August 11, 2016 | Bora Beran

Let’s say you trained a predictive model using R integration in Tableau or your favorite R authoring environment. If your data is very large you probably used a subset of your data for training and want to see how well it will do over the entire database.Or maybe ... [Read more...]

Multivariate Forecasting in Tableau with R

August 2, 2016 | Bora Beran

Since version 8.0 it is very easy to generate forecasts in Tableau using exponential smoothing. But in some cases you may want to enrich your forecasts with external variables. For example you may have the government’s forecast for population growth, your own hiring plans, upcoming holidays*, planned marketing activities… which ...
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Time Series Clustering in Tableau using R

May 24, 2016 | Bora Beran

Clustering is a very common data mining task and has a wide variety of applications from customer segmentation to grouping of text documents. K-means clustering was one of the examples I used on my blog post introducing R integration back in Tableau 8.1. Many others in Tableau community wrote similar articles ...
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Two new great blog posts from Tableau community

January 6, 2015 | Bora Beran

Two of my favorite new Tableau blogs are “Data * Science + R” and “Data + Science”. Former is a great resource if you want to learn how to leverage R inside Tableau by walking through sample use cases. Examples are interesting and very thoroughly explained. This year’s first post was about ...
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