Do good and bad viz choices exist?

Browsing the wonderful timeline of Twitter one evening, I noted an interesting discussion on subjects including Tableau Public, best practice, chart choices and dataviz critique. It's perhaps too long to go into here, but this tweet from Chris Love caught my eye. https://twitter.com/ChrisLuv/status/788541483355873281 Not being particularly auspicious with regards to summarising my thoughts into 140 characters, I wanted to explore some thoughts around … Continue reading Do good and bad viz choices exist? →

Remember the exciting new features Tableau demoed at #data15 – have we got them yet?

As we get closer towards the thrills of this year's Tableau Conference (#data16), I wanted to look back at one of the most fun parts of the last year's conference - the "devs on stage" section. That's the part where Tableau employees announce and demonstrate some of the new features that they're working on. No guarantees are made as to whether they'll … Continue reading Remember the exciting new features Tableau demoed at #data15 – have we got them yet? →

Clustering categorical data with R

Clustering is one of the most common unsupervised machine learning tasks. In Wikipedia's current words, it is: the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups Most "advanced analytics" … Continue reading Clustering categorical data with R →