https://github.com/doi-usgs/chart-challenge-22

#30DayChartChallenge 2022, USGS edition
https://github.com/doi-usgs/chart-challenge-22

Last synced: about 1 month ago
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#30DayChartChallenge 2022, USGS edition

• Host: GitHub
• URL: https://github.com/doi-usgs/chart-challenge-22
• Owner: DOI-USGS
• License: cc0-1.0
• Created: 2022-03-08T16:14:33.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-05-05T13:53:09.000Z (about 2 years ago)
• Last Synced: 2023-10-26T15:13:45.939Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 120 MB
• Stars: 41
• Watchers: 12
• Forks: 26
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# USGS chart challenge 2022

The [#30DayChartChallenge is a chart-a-day challenge](https://twitter.com/30DayChartChall) 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, uncertainties. This year's categories will be unveiled in stages as April 1st approaches. See this [blog post with the USGS contributions from 2021](https://waterdata.usgs.gov/blog/30daychartchallenge-2021/).

![2022 30 day chart challenge prompts: part-to-whole, pictogram, historical, flora, slope, OWID, physical, mountains, statistics, experimental, circular, The Economist, correlation, 3D, multivariate, environment, connections, OECD data, global change, new tool, don/up, animation, tiles, Financial Times. More prompts coming soon.](https://pbs.twimg.com/media/FNgSDsJXEAAG9kO?format=jpg&name=4096x4096) 

## Contributing

We welcome contributions that highlight science, data, and/or work relevant to USGS. Select the prompt you would like to do, and let us ([email protected] and [email protected]) know. We will allow multiple charts under the same prompt if there is interest from more than one person, or we can help you find a prompt that fits your data/concept if you are unsure.

## How to use

This repo is to house code and related files for the charts shared via the @USGS_DataSci account. Each chart should have a subdirectory within this repo using the naming convention `day_prompt_name` (e.g. `/01_part-to-whole_cnell`) that will be populated with associated files. Submit contributions via pull requests and tag @ceenell (R), @hcorson-dosch (python), or both (javascript/other) as reviewers. Tools and languages outside of those listed in the previous sentence are welcomed, and may or may not make sense to document in this repo.

## Submitting your final chart PR

When you are ready for review, submit a PR with your final chart and a brief description that includes: 

1. Overall messaging. How does the chart connect to the day/category? What is the 1-2 sentence takeaway?

2. The data source and variables used. Where can the data be found? Is it from USGS or elsewhere? Did you do any pre-processing?

3. Tools & libraries used 

Do not include: 

1. Data files. Ideally data sources are publicly available and can be pulled in programmatically from elsewhere, like ScienceBase, NWIS, or S3. We will not be distributing previously unreleased datasets. Works-in-progress are great! If you are concerned about sharing your data, let's talk about the best way to appraoch it. 

We will review PRs from a design/conceptual/documentation perspective and not necessarily for the data processing and code itself. However, we are happy to engage with you and troubleshoot with you as you develop your chart.