While R might not look like much at first glance, data analysts all over the world use the free, open-source data analysis software to run statistics on everything from psychology research to the stock market. Created in 1996 by two statistics professors in New Zealand, the programming language is comparatively user-friendly especially when paired with R Studio (https://www.rstudio.com/), a free downloadable template. Admittedly, learning the language takes work. However, there are a number of sites around the web with tutorials and tips, as well as easily locatable R help books, online support groups, and videos on YouTube and Vimeo. For data analysts who are tired of the limitations and costs of SPSS and other corporate programs, R is an extremely powerful and fluid alternative. This will be added to Statistics Resources and Big Data Subject Tracer™. this will be added to the tools section of Research Resources Subject Tracer™ Information Blog.
posted by Marcus Zillman |
4:58 AM
