https://github.com/samedwardes/euro-asylum
Plotly demo created for Coursera / John Hopkins University Developing Data Products course.
https://github.com/samedwardes/euro-asylum
plotly r
Last synced: about 1 year ago
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Plotly demo created for Coursera / John Hopkins University Developing Data Products course.
- Host: GitHub
- URL: https://github.com/samedwardes/euro-asylum
- Owner: SamEdwardes
- Created: 2019-07-14T02:08:13.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-09-01T01:48:40.000Z (almost 7 years ago)
- Last Synced: 2025-03-28T20:14:48.589Z (over 1 year ago)
- Topics: plotly, r
- Language: HTML
- Homepage:
- Size: 6.16 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# European Asylum Charts Using Plotly
These charts were inspired by the [Makeover Monday 2019/W28 challenge](https://data.world/makeovermonday/2019w28). The data can be found at the same link. The original data source is from [Eurostat](http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=migr_asyappctza&lang=en), and the original visualization is from the [European Asylum Support Office (EASO)](https://www.easo.europa.eu/asylum-trends-annual-report-2018)
Two versions of this HTML file was created to show the analysis:
- [a version without code](https://samedwardes.com/euro-asylum/European_Asylum_noCode) so the reader can focus on the charts [(R markdown)](https://samedwardes.com/euro-asylum/European_Asylum_noCode.Rmd).
- [a version with the code](https://samedwardes.com/euro-asylum/European_Asylum_withCode) so the reader can see exactly how the data was manipulated and the charts were created [(R markdown)](https://samedwardes.com/euro-asylum/European_Asylum_withCode.Rmd).