In one of my projects, I am co-developing and working on a survey project (we’re surveying students’ career perspectives) that generates a complex set of more and more data (going from four digits possibly far into five digits of participants end of the year).
Until now, I’ve been using the R statistical package to do my fundamental analyses, explorations, and visualisations. It worked for me in the past, but getting stuff to work and look acceptable can take much time. This time around, I am wondering whether I should be springing for a copy of Tableau (expensive!) or Microsoft Power BI (surprisingly affordable), especially since I want to explore more ways to dive into the data. In most cases, finding interesting insights takes eight to ten uninteresting tries. My theory is that if exploring and crawling the data would be easier, I’d miss fewer really exciting insights that would otherwise go unnoticed.
With R, diving into the data, for me, always feels a bit like chiselling myself into a frozen lake and I’d really like that elegant cliff-diving experience of “click-and-wow” to explore and then possibly confirm my stats analysis in R after having explored the nugget.
Anybody got any insight or recommendations on Tableau, Power BI, or any other software?