Difference between revisions of "IS428 AY2019-20 T1 EC Inspector: Proposal V2"

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= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Datasets</div> =
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Datasets</div> =
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<table>
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<tr>
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<td style="border-bottom: 1px solid #000">Data</td>
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<td style="border-bottom: 1px solid #000">Variables</td>
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</tr>
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<tr>
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<td style="border-bottom: 1px solid #000">Cessation Of Companies By Industry (SSIC 2015), Monthly<br/>Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=15948</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
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<li>Industry (e.g. Manufacturing, Accommodation)</li>
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<li>Time(Year/Month)</li>
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<li>Number of Ceased Companies</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">Online Shoppers<br/>Source: https://data.gov.sg/dataset/acra-information-on-corporate-entities</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
 +
<li>Year</li>
 +
<li>% of population proportion in online shopping</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">Online Shoppers by Age<br/>Source: https://data.gov.sg/dataset/online-shoppers</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
 +
<li>Year</li>
 +
<li>Age Group</li>
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<li>% of population proportion in online shopping</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">Online Retail Sales Proportion<br/>Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=16692</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
 +
<li>Year</li>
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<li>Proportion</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">Expenditure per goods and service type, and income quintile (Online: 2017/18)<br/>Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createSpecialTable.action?refId=16517</td>
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<td style="border-bottom: 1px solid #000">
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<ul>
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<li>Type of goods/services</li>
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<li>Quintile</li>
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<li>Amount spent</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">Expenditure per goods and service type, and type of dwellings (Online: 2017/18)<br/>Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/selectVariables.action</td>
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<td style="border-bottom: 1px solid #000">
 +
<ul>
 +
<li>Type of goods/services</li>
 +
<li>Type of dwellings</li>
 +
<li>Amount spent</li>
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</ul>
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</td>
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</tr>
 +
<tr>
 +
<td style="border-bottom: 1px solid #000">Distribution of households by income quintile and type of dwelling<br/>Source: https://data.gov.sg/dataset/households-by-income-quintile-and-type-of-dwelling</td>
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<td style="border-bottom: 1px solid #000">
 +
<ul>
 +
<li>Year</li>
 +
<li>Type of dwellings</li>
 +
<li>Income quintile</li>
 +
<li>% of proportion</li>
 +
</ul>
 +
</td>
 +
</tr>
 +
</table>
  
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Background Survey of Related Work</div> =
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Background Survey of Related Work</div> =

Revision as of 17:15, 24 October 2019

IS428 Project 2019-20 T1 Group4 Logo.png

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER



After consultations with Prof KAM, we felt that our previous scope of the proposal is too board as online business covers too many aspects. Therefore, we decided to narrow down to the first part our problem statement, which is to explore whether starting a online business in Singapore is getting more difficult.

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
Cessation Of Companies By Industry (SSIC 2015), Monthly
Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=15948
  • Industry (e.g. Manufacturing, Accommodation)
  • Time(Year/Month)
  • Number of Ceased Companies
Online Shoppers
Source: https://data.gov.sg/dataset/acra-information-on-corporate-entities
  • 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 v2.jpg

References

Comments