You are here: Home / Resources / Teaching Materials / Writing Clean Code in R Workshop / Description
Resource Image

Writing Clean Code in R Workshop

Author(s): Max Joseph1, Leah Wasser

Earth Lab - University of Colorado, Boulder

1675 total view(s), 399 download(s)

0 comment(s) (Post a comment)

Download

Adapt 0
Summary:
When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

Licensed under CC Attribution-NonCommercial-NoDerivatives 4.0 International according to these terms

Version 1.0 - published on 15 Oct 2019

Keywords

  1. data analysis
  2. data types
  3. data visualization
  4. data science
  5. earth science
  6. R programming language
  7. remote sensing
  8. Geographic Information System (GIS)
  9. data science education
  10. computer programming
  11. wildfire
  12. earth analytics

Alignments

  1. Resource Type
  2. Audience Level
  3. Activity Length
  4. Open Science and Education Practices Ontology
Contents:
view all files

Description

When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

Citation:

Wasser, Leah, & Joseph, Max. (2019, May 15). earthlab/earth-analytics-tidyverse-clean-code-r-workshop: earthlab/earth-analytics-tidyverse-clean-code-r-workshop: Earth Analytics Workshop on Cleaning Data with tidyverse in R (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.2853032

 

Cite this work

Researchers should cite this work as follows:

Close

Home

Search