R: All content tagged as R in NoSQL databases and polyglot persistence
Based on a slide deck by David Smith:
- R is the highest paid IT skill (Dice.com survey, January 2014)
- R is the most-used data science language after SQL (O’Reilly survey, January 2014)
- R is used by 70% of data miners (Rexer survey, October 2013)
- R is #15 of all programming languages (RedMonk language rankings, January 2014)
- R is growing faster than any other data science language (KDNuggets survey, August 2013)
- R is the #1 Google Search for Advanced Analytics software (Google Trends, March 2014)
- R has more than 2 million users worldwide (Oracle estimate, February 2012)
I can see a couple of actionable items based on this list:
- if you’re interested in data science, you should consider R
- if you are already using R, ask for a raise
Original title and link: 7 quick facts about R ( ©myNoSQL)
In Academic torrents: Almost 1.7TB of research data available, I complained about the lack of interesting open data. Dan Goldin’s Visualizing RunKeeper data in R is a good example of what I mean. While learning R, he used his own data about his running results. That made it both interesting and fun.
What better way to celebrate running 1000 miles in 2013 than dumping the data into R and generating some visualizations? It’s also a step in my quest to replace Excel with R.
I hope no one will argue that this is a more exciting experience than learning a new technology while using the Enron email archive.
Original title and link: Visualizing RunKeeper data in R ( ©myNoSQL)
If you find a good way to put together two things that excel at what they are doing, you’ll most probably get a gold nugget. That’s what I feel when thinking about integrating R and Hadoop. Jeffrey Breen’s slides seem to agree: