index.Rmd

---
title: "Introduction to Data Science using R Workshop"
author: "Sam Albers, Stephanie Hazlitt & Andy Teucher"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
output: bookdown::gitbook
documentclass: book
github-repo: bcgov/ds-cop-intro-to-r
description: "This book contains materials for a 1 day Introduction to R workshop"
---

# Preface


A repository to house materials for a 1-day course introducing participants to data science using [R](https://www.r-project.org/).


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](http://swcarpentry.github.io/r-novice-gapminder/) 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](http://software-carpentry.org/), 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/.

[![Creative Commons License](https://i.creativecommons.org/l/by/4.0/88x31.png)](http://creativecommons.org/licenses/by/4.0/).