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

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= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Background Survey of Related Work</div> =
 
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No related works.
  
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Technical Challenges</div> =
 
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<td style="border-bottom: 1px solid #000">Challenge</td>
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! Challenge !! Type !! Mitigation Plan
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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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| Lack of experience in designing suitable visualizations || Design practices || Research about best practices of visualizing; explore and try out different ways of visualization
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= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Milestones</div> =
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Milestones</div> =
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= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">References</div> =
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">References</div> =
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1.Singapore adspend by medium
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Source: https://www-warc-com.libproxy.smu.edu.sg/content/article/warc-datapoints/singapore_retail_adspend_by_medium/128509
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2.Online Shoppers
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Source: https://data.gov.sg/dataset/online-shoppers
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3.Online Shoppers by Age
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Source: https://data.gov.sg/dataset/online-shoppers
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4.Online Retail Sales Proportion
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Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=16692
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5.Expenditure per goods and service type, and income quintile (Online: 2017/18)
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Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createSpecialTable.action?refId=16517
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6.Expenditure per goods and service type, and type of dwellings (Online: 2017/18)
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Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/selectVariables.action
  
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7.Distribution of households by income quintile and type of dwelling
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Source: https://data.gov.sg/dataset/households-by-income-quintile-and-type-of-dwelling
  
 
= <div style="width: 100%; text-align: center; padding: 10px; background-color: #4db1e8; color: #fff;">Comments</div> =
 
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Latest revision as of 12:36, 21 November 2019

< Back to Project Groups

IS428 AY2019-20 T1 Group4 logo.jpg

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER


Version 1


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

No related works.

Technical Challenges

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 management Arrange meetings and divide work in advance; set a deadline for every member

Milestones

Milestone.png

References

1.Singapore adspend by medium Source: https://www-warc-com.libproxy.smu.edu.sg/content/article/warc-datapoints/singapore_retail_adspend_by_medium/128509

2.Online Shoppers Source: https://data.gov.sg/dataset/online-shoppers

3.Online Shoppers by Age Source: https://data.gov.sg/dataset/online-shoppers

4.Online Retail Sales Proportion Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createDataTable.action?refId=16692

5.Expenditure per goods and service type, and income quintile (Online: 2017/18) Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/createSpecialTable.action?refId=16517

6.Expenditure per goods and service type, and type of dwellings (Online: 2017/18) Source: https://www.tablebuilder.singstat.gov.sg/publicfacing/selectVariables.action

7.Distribution of households by income quintile and type of dwelling Source: https://data.gov.sg/dataset/households-by-income-quintile-and-type-of-dwelling

Comments

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