https://github.com/njlyon0/collab_vargas-quality-control-talk
Presentation for Santa Barbara R Users In June 2022
https://github.com/njlyon0/collab_vargas-quality-control-talk
code-tutorials data-science teaching-materials
Last synced: about 1 month ago
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Presentation for Santa Barbara R Users In June 2022
- Host: GitHub
- URL: https://github.com/njlyon0/collab_vargas-quality-control-talk
- Owner: njlyon0
- License: bsd-3-clause
- Created: 2022-05-24T20:53:11.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-19T18:58:02.000Z (about 2 years ago)
- Last Synced: 2025-02-14T12:49:08.174Z (3 months ago)
- Topics: code-tutorials, data-science, teaching-materials
- Language: R
- Homepage:
- Size: 25.4 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
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README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
```
# Data Quality Control Using R
This repository contains the supplementary materials for the presentation given to the Santa Barbara R Users community. The event took place on June 16th from 1-2pm PDT (MeetUp link [here](https://www.meetup.com/Santa-Barbara-R-Users-Group/events/286355404/?utm_medium=email&utm_source=braze_canvas&utm_campaign=mmrk_alleng_event_announcement_prod_v6_en&utm_term=promo&utm_content=lp_meetup)).
While the code in this repository is meant to be relatively self-explanatory, we do have slides (in GoogleSlides format) that were presented in addition (see [here](https://docs.google.com/presentation/d/1uYX45wOeZg5vfbjecR9-JWbthwxdEEbbLV3XVXztIF8/edit#slide=id.p))
## Supplemental Resources
- [7 Basic Quality Tools with R](https://towardsdatascience.com/7-basic-tools-of-quality-using-r-49fef5481e07)
- [Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor Data](https://academic.oup.com/bioscience/article/63/7/574/289294)
- [Implementation of a Data Management Quality Management Framework at the Marine Institute, Ireland](https://link.springer.com/article/10.1007/s12145-019-00432-w)
- [Slow improvement to the archiving quality of open datasets shared by researchers in ecology and evolution](https://ecoevorxiv.org/d63js/)