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| − | * | + | *https://data.unodc.org/ |
| − | * | + | *https://golearn-archive.unodc.org/olat/raw/static/unodc/cube/attempts.html# |
| + | *http://www.emcdda.europa.eu/data/stats2017_en | ||
| + | *https://d3js.org/ | ||
| + | *http://www.chartjs.org/ | ||
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Revision as of 10:55, 13 October 2017
Contents
Problem and Motivation
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Objectives
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Data Source
Datasets are retrieved from https://data.unodc.org/ and http://www.emcdda.europa.eu/data/stats2017_en.
These two sites provides comprehensive and diverse data regarding drugs.
Data Snippet
References to Related Work
| Screenshots | What we can learn |
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Interactive Filled World Map |
Pros: Cons: |
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Stacked Distribution Pipeline |
Pros: Cons: |
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Price OHLC |
Pros: Cons: |
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Drug Prevalence Boxplot |
ABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCABCAB Cons: |
Storyboard
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Key Technical Challenges
Inexperienced with data visualisation tools
New to D3.js and Javascript
Data cleaning and transformation
Project Schedule
Tools/Technologies
These are the tools and technologies that we will be learning and implementing for this project:
- Tableau
- Microsoft Excel
- D3.js
- Chart.js
- AngularJS
References
Our Team
Group 7
Fan Kaiyang
Mark Ng Wei Jie
Gary Quek Jian Zhang
