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May 2017

In Data Science on
May 5, 2017

Sentiment Analysis

One of the very first data science items I’ve attempted was sentiment analysis, using a combination of Python and Tableau. This was a stretch assignment for myself when Tableau 10.2 was released in beta, and there was built-in Python integration! I just had to do this. I work with volumes of unstructured text, and now there was a way to allow users to not only see the sentiment, but to interact with this analysis (using Tableau).

Rather than share (read: rather than me type all of it out) how I implemented this, check out this post on the Tableau Blog.

 

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In Data Visualization on
May 5, 2017

Tableau Workout Wednesday Week 17 via Microsoft Power BI

Last night I completed the #WorkoutWednesday challenge for Week 17 using Tableau. Having started to experiment with Microsoft Power BI, and joining up with some user groups, I thought I’d see how my skills were progressing in the newest tool.

Quickly I found I still needed a bit to learn, and the requisite Google (perhaps I should have used Bing) of how to do Level of Detail calculations in Power BI didn’t turn up useful answer. Power BI uses DAX (data analysis expressions) to calculate measures and columns. Initially I just knew there had to be a way, there were way too many functions available to not be able to achieve this. In fact, I knew this was going to be easy, and again shock me at how great a product Power BI is, and had been right there all along, just waiting for me to pick it up and try my hand at it.

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