Tag: BDA
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Data Science Toolbox: How to use Julia with Tableau
Michael, a data scientist, who is working for a German railway and logistics company, recently told me during a FATUG Meetup that he loves Tableau’s R integration and Tableau’s Python integration. As he continued, he raised the question of using functions they have written in Julia. Julia, a high-level dynamic programming language for high-performance numerical…
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Tableau Conference TC17 Sneak Peek: Integrating Julia for Advanced Analytics
We have already seen some love from Tableau for R and Python, boosting Tableau’s Advanced Analytics capabilities. So what is the next big thing for our Data Science Rockstars? Julia! Who is Julia? Julia is a high-level dynamic programming language introduced in 2012. Designed to address the needs of high-performance numerical analysis its syntax is very similar to…
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How to enable Multi-Language Sentiment Analysis with R
Have you seen how easy it is to integrate sentiment analysis in your Tableau dashboard – if your text is in English? Until now the sentiment package for R only worked with English text. Today, I released version 1.0 of the sentiment package on GitHub that features multi-language support. In order to perform sentiment analysis…
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R You Ready For Advanced Analytics at #data16
The main goal of Advanced Analytics is to help organizations make smarter decisions for better business outcomes. Only a few years ago, Advanced Analytics was based almost entirely on a complex tool chain and plenty of scripting in Gnuplot, Python and R. Today, Tableau enables us to analyze our data at the speed of thought,…
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How to implement Sentiment Analysis in Tableau using R
In my previous post I highlighted Tableau’s text mining capabilities, resulting in fancy visuals such as word clouds: Today I’d like to follow up on this and show how to implement sentiment analysis in Tableau using Tableau’s R integration. Some of the many uses of social media analytics is sentiment analysis where we evaluate whether…
