Ask just about any data scientist or science of business BI specialist about critical components of her job, and she’s almost certain to mention data integration (munging), statistical analysis and visualization at the top of her list. Once the data are in place, the attention often turns from integration to the powerful combination of statistical analysis and visualization for discovery/exploration.
I can’t imagine there’s a bigger advocate of the R platform for analytics and data programming than me. I love R’s core statistical graphics and add-on lattice and ggplot statistical packages as well, using them all the time in my work. But I’m less enthused about R’s interactive visualization capabilities. My take is that commercially-available software trumps its open source competition at this point. Frustratingly, though, exploratory data analysis nirvana for me is a robust visualization platform that interoperates with R.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access