https://github.com/spujadas/coursera-ddp-plotly
Coursera Developing Data Products Week 3 Peer-graded Assignment: Plotly
https://github.com/spujadas/coursera-ddp-plotly
accident plotly
Last synced: 5 months ago
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Coursera Developing Data Products Week 3 Peer-graded Assignment: Plotly
- Host: GitHub
- URL: https://github.com/spujadas/coursera-ddp-plotly
- Owner: spujadas
- Created: 2017-02-11T19:26:31.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-02-11T19:28:50.000Z (over 9 years ago)
- Last Synced: 2025-03-04T04:41:38.537Z (over 1 year ago)
- Topics: accident, plotly
- Language: HTML
- Homepage:
- Size: 1.07 MB
- Stars: 1
- Watchers: 2
- Forks: 12
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Coursera Developing Data Products Week 3 Peer-graded Assignment: Plotly
In this project, we created a web page presentation using R Markdown that features a plot created with Plotly, representing the number of road accidents in Great Britain from 2005 to 2015, grouped by severity (slight, serious, or fatal).
The presentation is [published online on GitHub Pages](http://spujadas.github.io/coursera-ddp-plotly/road-accidents-gb-2005-2015).
The source data sets are not included in this repository. To reproduce this presentation, you will need to download the zipped [All STATS19 data (accident, casualties and vehicle tables) for 2005 to 2014](https://data.gov.uk/dataset/road-accidents-safety-data/resource/8ecee6ac-33fd-4f5b-8973-e900cc65d24a) and [Road Safety - Accidents 2015](https://data.gov.uk/dataset/road-accidents-safety-data/resource/ceb00cff-443d-4d43-b17a-ee13437e9564) data sets, and then extract the `Accidents0514.csv` and `Accidents_2015.csv` files from these zip files in a subdirectory named `data`.