Category: R Books
I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …Continue reading →continue reading.
Introducing Webhooks — Fastest Way to Collect DataToday we’re introducing webhooks, the fastest way you can send data to a JSON file from anywhere.The number 1 most taxing task when it comes to...continue reading.
Motivation There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics, however, many algorithms sprout from the most established algorithms, e.g. ordinary least...continue reading.
Introduction Writing appealing interactive web applications – one of STATWORX’s many competences – is an ease with R shiny. Just a few lines of code in one R script create...continue reading.
One of the concepts we teach in both Practical Data Science with R and in our theory of data shaping is the importance of identifying the roles of columns in...continue reading.
R is an interpreted programming language with vectorized data structures. This means a single R command can ask for very many arithmetic operations to be performed. This also means R...continue reading.
Author: Jared P. Lander Publisher: Addison-Wesley Professional Release Date: June 2017 Pages: 560 Available at: Amazon, O’Reilly Safari Scientists, financial analysts, public policy professionals, and programmers use the free, open-source R language to build powerful...continue reading.
Authors: John Mount, and Nina Zumel 2018-10-25 As a followup to our previous post, this post goes a bit deeper into reasoning about data transforms using the cdata package. The...continue reading.