1718t1is428T7: Proposal 2

HOME

PROPOSAL

POSTER

APPLICATION

DOCUMENTATION

Version 1

Version 2

PROBLEM & MOTIVATION

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.

OBJECTIVE

With this project we aim to create visualizations that will allow the easy visual analysis of the following:

Mighty Morphine Power Rangers will explore the current drug seizures surveys and will develop visualizations that will allow viewers to be able to discover trends in routes, methods used to conceal the drugs, and also time trends in the trafficking data. From these analysis we will be able to allow increased efficiency in the stopping of traffickers and also the removal of these substances in societies.

What periods, days or even times do traffickers tend to conduct their activities? Is there an increased or decreased prevalence in terms of these timings? Why? Popularity of certain routes, methods, hiding places? Which types of drugs are more frequently trafficked? Where and when law enforcement should be in place to increase the catch rates?

DATA SOURCE

Datasets are retrieved from https://data.unodc.org/#state:1
This dataset provide a detailed information of each drug seizure:
Data Information

REFERENCES TO RELATED WORK

Screenshots	What we can learn
Interactive Filled World Map Source: link	Example shows the different intensity of percentage of the population affected by drug abuse and the total number of drug abusers as shape circle. Pros: Able to see an general picture of the drug landscape. Visually appealing and straightforward. Cons: Unable to drill-down for more detailed information. Some parts of the world are not properly represented.
Stacked Distribution Pipeline Source: link	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. Pros: Gives the viewer a clear idea of what this chart is about. Easy to understand and highly customisable. Cons: Too high level. Viewers might miss the fine details because of the colour.
Price OHLC Source: link	Example shows the price level, high and low for a type of drug along the years. Pros: A detailed view of the price level along the years. Easy to understand. Cons: Viewers who do not know how to read this chart might misinterpret the values. Not highly customisable.
Drug Prevalence Boxplot Source: link	Example shows the prevalence of a drug abuse in each country Pros: Many information on one chart. High level and low level view of information. Cons: Not straightforward, need time to digest the information. Chart might need filters to help summarise the data.

PROPOSED STORYBOARD

Screenshots	What we can learn
MAP	This world map chart will show the inbound vs outbound traffic of drugs by country. Filters that can help dissect the visualisation: Origin Destination Types of Drug Mode of Transport DateTime Amount
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. Pros: Gives the viewer a clear idea of what this chart is about. Easy to understand and highly customisable. Cons: Too high level. Viewers might miss the fine details because of the colour.

KEY TECHNICAL CHALLENGES

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.

PROJECT SCHEDULE

TOOLS/TECHNOLOGIES

These are the tools and technologies that we will be learning and implementing for this project:

REFERENCES

• 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/

OUR TEAM

Group 7:Mighty Morphine Power Rangers

Fan Kaiyang	Mark Ng Wei Jie	Gary Quek Jian Zhang

COMMENTS

Please leave your comments here :)