# Introduction to Data Science using R Workshop

*2019-10-01*

# Chapter 1 Preface

A repository to house materials for a 1-day course introducing participants to data science using R.

The goal of this 1-day workshop is to teach new-to-programming data professionals to import data, clean up and summarize a data set, and make some static data visualizations using the program R. R is a popular statistical computing language, commonly used in many scientific disciplines for statistical analysis, generating production-quality graphics, and automating data workflow tasks. The workshop content will follow best practices for using R for data analysis, giving attendees a foundation in the fundamentals of R and scientific computing.

Most of the above lesson material is sourced from the Software Carpentry Foundation (now The Carpenties) R for Reproducible Scientific Analysis lesson material: Thomas Wright and Naupaka Zimmerman (eds): *Software Carpentry: R for
Reproducible Scientific Analysis*. Version 2016.06, June 2016,
https://github.com/swcarpentry/r-novice-gapminder,
10.5281/zenodo.57520.

Original Work Copyright © Software Carpentry, content modified by the Province of British Columbia.

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.