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https://github.com/doi-usgs/vizlab-chart-challenge-23

https://github.com/doi-usgs/vizlab-chart-challenge-23

Science Score: 18.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    12 of 14 committers (85.7%) from academic institutions
  • ✓
    Institutional organization owner
    Organization doi-usgs has institutional domain (www.usgs.gov)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: DOI-USGS
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 80.2 MB
Statistics
  • Stars: 9
  • Watchers: 1
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme Contributing License Code of conduct

README.md

USGS chart challenge 2022

The #30DayChartChallenge is a chart-a-day challenge to encourage creativity, exploration, and community in data visualization. For each day of the month of April, there is a prompt that participants create charts to fit within and share on Twitter. Each prompt fits within 5 broader categories: comparisons, distributions, relationships, timeseries, and uncertainties. See these blog posts with the USGS contributions from 2023 and 2022.

2023 30 day chart challenge prompts: part-to-whole, waffle, fauna/flora, historical, slope, data day: OWID, hazards, humans, high/low, hybrid, circular, theme day: BBC News, pop culture, new tool, positive/negative, family, networks, data day: EuroStat, anthropocene, correlation, down/upwards, green energy, tiles, theme day: UN Woman, global change, local change, good/bad, trend, monochrome, data day: WorldBank.

How to use

This repo is to house code and related files for the charts shared via the @USGSDataSci account. Each chart has a subdirectory within this repo using the naming convention `daypromptname(e.g./01part-to-wholecnell) that is populated with associated files. There is a template subdirectory (/00templateyourname/) that you can copy and customize for your own use. The template folder has empty template scripts for R or Python (/00templateyourname/emptytemplatescript) and example viz that were created from scratch using the templates (/00templateyourname/examplescript`).

Guidance with git and GitHub

  1. At the top of this repo, copy the address under the "Clone with SSH" option.
  2. Open Terminal on your computer in the place that you want the repository's folder to be saved. Clone the repository to your computer with git clone and the copied SSH address.
  3. Create a branch with your username and description of tasks
  4. Copy the "00templateyourname" folder and rename it with your prompt date, prompt title, and your name
  5. When you've got code you'd like to commit to your fork, commit it with git add ... and git commmit -m "your commit message"
  6. Once you've got code you'd like reviewed, create a merge request by pushing your changes to your fork with git push origin main (or use your branch in place of the "main", if applicable). Then, log into Github and create a merge request.

Here's an example of the git workflow in full:

```

... to clone your fork locally, change username for your username:

git clone git@github.com:DOI-USGS/vizlab-chart-challenge-23.git cd chart-challenge-23

... add new branch with your username

git checkout -b username-branch

... to commit your changes as you go:

git add 01part-to-wholecnell/ git commit -m "final draft viz code"

... once you're ready to create a merge request:

git push origin username-branch ```

Owner

  • Name: U.S. Geological Survey
  • Login: DOI-USGS
  • Kind: organization
  • Email: gs_help_git@usgs.gov
  • Location: United States of America

By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 484
  • Total Committers: 14
  • Avg Commits per committer: 34.571
  • Development Distribution Score (DDS): 0.715
Past Year
  • Commits: 484
  • Committers: 14
  • Avg Commits per committer: 34.571
  • Development Distribution Score (DDS): 0.715
Top Committers
Name Email Commits
Hayley Corson-Dosch h****h@u****v 138
Althea A Archer a****r@u****v 88
ewhite e****e@u****v 60
Margaux Sleckman m****n@u****v 58
Julie Padilla p****0@g****m 43
elmeraa e****r@u****v 37
elbeejay j****n@u****v 22
candrews c****s@u****v 15
Matthew Conlon m****n@u****v 9
Natalie Schmer n****r@u****v 5
Harlan m****n@u****v 4
Carr a****r@u****v 3
Margaret (Contractor) Jaenicke PR m****r@g****t 1
Martinez, Anthony James a****z@u****v 1
Committer Domains (Top 20 + Academic)
usgs.gov: 12 gs.doi.net: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 2 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 2
  • 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
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • aaarcher-usgs (2)
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