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Introduction to Data Science Using R

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.

Lessons

Please see: https://bcgov.github.io/ds-cop-intro-to-r/

(1) Introduction to R & RStudio (55 minutes)
(2) Seeking Help in R (20 minutes)
(3) Project Management with RStudio (30 minutes)
(4) Data Structures (40 minutes)
(5) Exploring Data Frames (20 minutes)
(6) Making Publication Quality Plots with ggplot2 (80 minutes)
(7) Data Manipulation with dplyr (55 minutes)
(8) Data Manipulation with tidyr (20 minutes)
(9) Seeking Help from Others with reprex (15 minutes)

Most of the above lesson material is sourced or an adaptation of 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.

Course Offerings

@Connect 2019 Data Science Training Event, Wednesday October 2nd

Getting Help or Reporting an Issue

To report bugs/issues/feature requests, please file an issue.

How to Contribute

If you would like to contribute, please see our CONTRIBUTING guidelines.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

License

Creative Commons License.

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/.

This project was created using the bcgovr package.