Difference between revisions of "IS428 AY2019-20 T1 EC Inspector: Proposal"

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| Lack of experience in visualizing with R || Technical || Allocate time in our project schedule for self learning; organize knowledge sharing session on R  
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<li>Allocate time in our project schedule for self learning</li>
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<li>Organize knowledge sharing session on R</li>
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<td style="border-bottom: 1px solid #000">Lack of experience in designing suitable visualizations</td>
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<td style="border-bottom: 1px solid #000">Design practices</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
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<li>Research about best practices of visualizing</li>
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<li>Explore and try out different ways of visualization</li>
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</ul>
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</td>
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</tr>
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<tr>
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<td style="border-bottom: 1px solid #000">Time limitation and workload allocation</td>
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<td style="border-bottom: 1px solid #000">Project managements</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
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<li>Arrange meetings and divide work in advance</li>
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<li>Set a deadline for every member</li>
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</ul>
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</td>
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= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Milestones</div> =

Revision as of 23:04, 13 October 2019

IS428 Project 2019-20 T1 Group4 Logo.png

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER



Problem & Motivation

Singapore is known to be a good test bed for business and innovation. However, with its ability to attract more and more business and innovation, it made decisions on what business to start in Singapore more difficult. Singapore's diversity and accessibility of various products makes it convenient for Singaporeans to purchase what they need and want. Hence, our data visualization project aims to help a business identify areas of better opportunities to start an online business.

Datasets

Data Variables
Singapore adspend by medium
Source: https://www-warc-com.libproxy.smu.edu.sg/content/article/warc-datapoints/singapore_retail_adspend_by_medium/128509
  • Medium (e.g. Magazine, TV)
  • Year
  • SGD (in millions)
Online Shoppers
Source: https://data.gov.sg/dataset/online-shoppers
  • Year
  • % of population proportion in online shopping
Online Shoppers by Age
Source: https://data.gov.sg/dataset/online-shoppers
  • Year
  • Age Group
  • % of population proportion in online shopping
Online Retail Sales Proportion
Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=16692
  • Year
  • Proportion
Expenditure per goods and service type, and income quintile (Online: 2017/18)
Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createSpecialTable.action?refId=16517
  • Type of goods/services
  • Quintile
  • Amount spent
Expenditure per goods and service type, and type of dwellings (Online: 2017/18)
Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/selectVariables.action
  • Type of goods/services
  • Type of dwellings
  • Amount spent
Distribution of households by income quintile and type of dwelling
Source: https://data.gov.sg/dataset/households-by-income-quintile-and-type-of-dwelling
  • Year
  • Type of dwellings
  • Income quintile
  • % of proportion

Background Survey of Related Work

Technical Challenges

Milestones

Milestone.png

References

Comments

Challenge Type Mitigation Plan
Lack of experience in visualizing with R Technical
  • Allocate time in our project schedule for self learning
  • Organize knowledge sharing session on R
Lack of experience in designing suitable visualizations Design practices
  • Research about best practices of visualizing
  • Explore and try out different ways of visualization
Time limitation and workload allocation Project managements
  • Arrange meetings and divide work in advance
  • Set a deadline for every member
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