ecology-workshop
Science Score: 41.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 12 committers (8.3%) from academic institutions -
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Low similarity (11.2%) to scientific vocabulary
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Repository
Basic Info
- Host: GitHub
- Owner: ErinBecker
- License: other
- Default Branch: main
- Homepage: https://fishtree-attempt.github.io/ecology-workshop/
- Size: 0 Bytes
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.
If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org
ecology-workshop
Overview of the ecology workshop
Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop uses a tabular ecology dataset and teaches data cleaning, management, analysis and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools.
The workshop uses a single tabular data set that contains observations about adorable small mammals over a long period of time in Arizona. See data.md for more information about this data set, including the download location.
The workshop can be taught using R or Python as the base language.
Overview of the lessons:
- Data organization in spreadsheets and data cleaning with OpenRefine
- Introduction to R or Python
- Data analysis and visualization in R or Python
- SQL for data management
An example of the ecology materials in the wild is this Data Carpentry workshop at CalTech in 2015.
Detailed structure
Day 1 morning: Data organization & cleaning
There are two lessons in this section. The first is a spreadsheet lesson that teaches good data organization, and some data cleaning and quality control checking in a spreadsheet program.
The second lesson uses a spreadsheet-like program called OpenRefine to teach data cleaning and filtering, and to introduce scripting, regular expressions and APIs (application programming interfaces).
Day 1 afternoon and Day 2 morning: Data analysis & visualization
These lessons includes a basic introduction to R or Python syntax, importing CSV data, and subsetting and merging data. It finishes with calculating summary statistics and creating simple plots.
Day 2 afternoon: Data management with SQL
This lesson introduces the concept of a database using SQLite, how to structure data for easy database import, and how to import tabular data into SQLite. Then, it teaches basic queries, combining results and doing queries across multiple tables.
Other lessons
There are a number of other ecology lessons that are not part of the base workshop. Some of these are no longer taught, and some are only taught at extended workshops.
Owner
- Name: Erin Becker
- Login: ErinBecker
- Kind: user
- Location: Pleasant Hill, CA
- Company: @carpentries
- Repositories: 5
- Profile: https://github.com/ErinBecker
🏳️🌈 @carpentries Associate Director. Active learning advocate, linguistics enthusiast and art dilettante. 🏳️🌈
Citation (CITATION)
Please cite as: Tracy Teal (eds): "Data Carpentry: Ecology Workshop overview." Version 2017.04.0, April 2017, http://www.datacarpentry.org/ecology-workshop/, FIXME: Add Zenodo DOI.
GitHub Events
Total
Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Erin Becker | e****r@g****m | 13 |
| Francois Michonneau | f****u@g****m | 7 |
| Tracy Teal | t****t@i****g | 5 |
| Toby Hodges | t****s@g****m | 3 |
| Zhian N. Kamvar | z****r@g****m | 2 |
| Karen Cranston | k****n@g****m | 2 |
| Luis J. Villanueva | v****l@s****u | 1 |
| Katrin Leinweber | 9****r | 1 |
| Kari L. Jordan, PhD | k****n@c****g | 1 |
| Jeffrey W. Hollister | j****r@g****m | 1 |
| Ethan White | e****n@w****g | 1 |
| Adam Obeng | g****b@b****m | 1 |
Committer Domains (Top 20 + Academic)
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Last synced: about 1 year ago
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- Total pull requests: 0
- Average time to close issues: N/A
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
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