Difference between revisions of "1718t1is428T7"
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Price OHLC<br> [[File:G1t7_proposal_price.png|300px]]<br />Source: [http://www.emcdda.europa.eu/data/stats2017_en link] </strong> | Price OHLC<br> [[File:G1t7_proposal_price.png|300px]]<br />Source: [http://www.emcdda.europa.eu/data/stats2017_en link] </strong> | ||
| style="font-family:Open Sans, Arial, sans-serif; text-align: left; padding:3px 10px; border-bottom:solid 1px #d8d8d8" | | | style="font-family:Open Sans, Arial, sans-serif; text-align: left; padding:3px 10px; border-bottom:solid 1px #d8d8d8" | | ||
+ | Example shows the price level, high and low for a type of drug along the years.<br> | ||
<b>Pros:</b> | <b>Pros:</b> | ||
− | * | + | *A detailed view of the price level along the years. |
− | * | + | *Easy to understand. |
<b>Cons:</b> | <b>Cons:</b> | ||
− | * | + | *Viewers who do not know how to read this chart might misinterpret the values. |
− | * | + | *Not highly customisable. |
|- | |- | ||
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Drug Prevalence Boxplot<br> [[File:G1t7_proposal_boxplot.png|300px]]<br />Source: [http://www.unodc.org/doc/wdr2016/WORLD_DRUG_REPORT_2016_web.pdf link] </strong> | Drug Prevalence Boxplot<br> [[File:G1t7_proposal_boxplot.png|300px]]<br />Source: [http://www.unodc.org/doc/wdr2016/WORLD_DRUG_REPORT_2016_web.pdf link] </strong> | ||
| style="font-family:Open Sans, Arial, sans-serif; text-align: left; padding:3px 10px; border-bottom:solid 1px #d8d8d8" | | | style="font-family:Open Sans, Arial, sans-serif; text-align: left; padding:3px 10px; border-bottom:solid 1px #d8d8d8" | | ||
− | + | Example shows the prevalence of a drug abuse in each country<br> | |
<b>Pros:</b> | <b>Pros:</b> | ||
− | * | + | *Many information on one chart. |
− | * | + | *High level and low level view of information. |
<b>Cons:</b> | <b>Cons:</b> | ||
− | * | + | *Not straightforward, need time to digest the information. |
− | * | + | *Chart might need filters to help summarise the data. |
|} | |} |
Revision as of 12:06, 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 |
Interactive Filled World Map |
This 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:
|
Storyboard
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
- Adobe Illustrator
References
Our Team
Group 7
Fan Kaiyang
Mark Ng Wei Jie
Gary Quek Jian Zhang