Subject archive for "r," page 6

At some point in their careers, almost every data scientist has written code to perform a series of steps, and thought, “It would be great if I could build these transformations visually rather than by writing code.”

I’m a bit of an R nerd. Ok, that’s a lie; I’m a major R nerd. But for good reason, because R is incredibly useful in streamlining the scientific process, and increasing the ability to replicate findings with less human error.

Introduction

This a guest post by Arnu Pretorius

Domino has offered support for IPython/Jupyter Notebook for a while, but we recently added support for two newer, up-and-coming tools for interactive data science: Beaker Notebooks, and Rodeo. This post gives a brief overview of each tool and describes how to use them on Domino.

In an effort to reduce the public’s exposure to food-borne illness, the City of Chicago partnered with Allstate’s Quantitative Research & Analytics department to develop a predictive model to help prioritize the city's food inspection staff.