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Drug trafficking is a global illicit trading involving the cultivation, manufacture, distribution and sales of substances which are subject to drug prohibition laws. The consequences of illicit drug use are widespread, causing permanent physical and emotional damage to users and negatively impacting their families, coworkers, and many others with whom they have contact. Globally, the movement and presence of these substances are difficult to track and control and poses a challenge for law enforcement. One of the main ways law enforcement controls the prevalence of these drugs is by maintaining strong boarder security. The seizure of drugs at the boarder is anything but a simple task, profiling and random guess work is commonly used as methods for detection. However, with the proper and in-depth analysis of trafficking trends we may be better able to control and reduce the slippages of traffickers through the boarders. |
With this project we aim to create visualizations that will allow the easy visual analysis of the following:
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Mighty Morphine Power Rangers wants to explore the current drug route and be able to draw some observations on the different drug routes taken, methods used to conceal the drugs, the most active region and the most active day of drug trafficking. |
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Datasets are retrieved from https://data.unodc.org/#state:1
This dataset provide a detailed information of each drug seizure:
Data Information
| Screenshots | What we can learn |
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Interactive Filled World Map |
Example shows the different intensity of percentage of the population affected by drug abuse and the total number of drug abusers as shape circle.
Cons:
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Stacked Distribution Pipeline |
Example showcase a beautifully designed stacked bar, showing the ratio of revenue brought in by each type of drug that fuels the different types of activities at the right end of the chart.
Cons:
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Price OHLC |
Example shows the price level, high and low for a type of drug along the years.
Cons:
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Drug Prevalence Boxplot |
Example shows the prevalence of a drug abuse in each country
Cons:
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| Screenshots | What we can learn |
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MAP |
This world map chart will show the inbound vs outbound traffic of drugs by country.
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BUBBLE |
Example showcase a beautifully designed stacked bar, showing the ratio of revenue brought in by each type of drug that fuels the different types of activities at the right end of the chart.
Cons:
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Inexperienced with data visualisation tools
- Self learning through youtube and practices.
- Peer learning
New to D3.js and Javascript
- Attend D3.js workshop.
- Self explore the various D3.js examples.
Data cleaning and transformation
- Team effort
- Documentation to keep track of changes.
These are the tools and technologies that we will be learning and implementing for this project:
Group 7:Mighty Morphine Power Rangers
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| Fan Kaiyang |
Mark Ng Wei Jie |
Gary Quek Jian Zhang |
Please leave your comments here :)
