Databases for Data Scientists

As data scientists, we’re often most excited about the final layer of analysis. Once all the data is cleaned and stored in a format readable by our favorite programming language (Python, R, STATA, etc), the most fun part of our work is when we’re finding counter-intuitive causations with statistical methods. If you can prove that […]

Creating a SQLite database for use with R

When you import or load data into R, the data are stored in Random Access Memory (RAM). This is the memory that is deleted when you close R or shut off your computer. It’s very fast but temporary. If you save your data, it is saved to your hard drive. But when you open R […]