Follow our Getting Started docs to help you make the most of this Tutorial repository.
README.md
Getting Started Tutorial
XetHub enables seamless integration of data, code, and assets in one repository. This makes it easy to access everything you need to run a project with a single clone or mount command.
Seattle air quality has been interesting in recent years. This data, pulled and processed from OpenAQ, demonstrates how to use custom visualizations to display changes in data over time.
Start with a simple change to add a chart, then dive deeper to continue exploring XetHub features.
Basic usage
Jump right in with our Getting Started guide. At the end of the guide, you'll have made your first change to a XetHub repository!
Advanced usage
Finished with the basic workflow?
Follow our Update and Review Data walkthrough to try out a real world example of how a team can use XetHub to review new data as it comes in through pull requests.
Extra credit
Want to do more with this repository?
- Take a look into the missing chunk of data in the
aggregate_pm25.vl.json
and put up a pull request to fill the gaps. - Iterate on the Python scripts in the repository to add some new functionality. Commit both your code, data, and results all in one step.
- Explore custom visualizations to create more compelling charts.
Custom Visualization | ||||
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File List | Total items: 10 | ||
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Name | Last Commit | Size | Last Modified |
annual_air_quality_data | |||
monthly_air_quality_data | |||
.gitattributes | |||
README.md | |||
SeattleAirQuality.png | |||
aggregate_data.py | |||
aggregate_o3.vl.json | |||
aggregate_pm25.vl.json | |||
requirements.txt | |||
update_plots.py |
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Follow our Getting Started docs to help you make the most of this Tutorial repository.
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Activity 8 commits
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