A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can ...

Combining multiple datasets, whether by stacking or joining, is commonly necessary as is changing the shape of data. The plyr and reshape2 packages offer good functions for accomplishing this in ...

Statisticians and data miners have been using R software and language for analytics within research and academia environments for some time. This open source community has contributed thousands of ...

This story contains interviews with David Smith, chief community officer at Revolution Analytics; Casey Herron, data scientist at Revolution Analytics; Tess Nesbitt, director of analytics at DataSong; ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

Do you have some data with geolocation information that you want to map? You may not think of R when you’re looking for a GIS platform, but new packages and standards have helped make the R ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Earth analytics, also known as Earth data science, is a rapidly growing field that uses data science techniques to study Earth processes and address environmental challenges. Earth data scientists use ...