Difference between revisions of "Microheart"

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<br/><div style="background: #347473; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.08em;font-size:20px"><font color=#fbfcfd face="Century Gothic">OBJECTIVES</font></div>
 
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<p>In this project, we are interested to create a visualisation that helps users perform the following:</p>
 
<p>In this project, we are interested to create a visualisation that helps users perform the following:</p>
WIP
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* Descriptive:
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* Prescriptive:
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* Predictive:
  
 
<br/><div style="background: #347473; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.08em;font-size:20px"><font color=#fbfcfd face="Century Gothic">SELECTED DATASET</font></div>
 
<br/><div style="background: #347473; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.08em;font-size:20px"><font color=#fbfcfd face="Century Gothic">SELECTED DATASET</font></div>

Revision as of 14:04, 11 October 2018

Microheart logo.jpg


PROBLEM & MOTIVATION

Problem Description: According to Data.gov.sg, by 2030, the ageing population in Singapore is projected to reach approximately 90,000, which is almost double of the current ageing population. Therefore, a better understanding of the current ageing population situation and other facilities is needed in order to better prepare for the ageing population.

Motivation: Our motivation is to identify the short term gaps in aspects of the ageing population by providing an insightful data visualization based on the data from singstat and data.gov.sg. We will analyze the current ageing population with respect to the current working population, and the availability of medical care for these aged population. The data visualization will show the distribution of ageing population levels across the planning areas of Singapore (based on URA 2014). Additional information will include presence of medical facilities and working population based on planning areas.


OBJECTIVES

In this project, we are interested to create a visualisation that helps users perform the following:

  • Descriptive:
  • Prescriptive:
  • Predictive:


SELECTED DATASET

WIP

Dataset/Source Data Attributes Rationale Of Usage

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WIP

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BACKGROUND SURVEY OF RELATED WORKS

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Related Works What We Can Learn

Reference Dataset Title 1

Source: Source URL 1

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Reference Dataset Title 2

Source: Source URL 2

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Reference Dataset Title 3

Source: Source URL 3

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PROPOSED STORYBOARD

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Proposed Layout How Analyst Can Conduct Analysis

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ADDRESSING KEY TECHNICAL CHALLENGES

The following are some of the key technical challenges that we may face throughout the course of the project:

Key Technical Challenges How We Propose To Resolve
Using D3.js to create interactive visualizations

Explore more on D3.js and understand how it works through available resources such as GitHub etc

Data preprocessing

Research on the data required, understand which data set is most important and clean up the data

Designing insightful Dashboard

Explore the possible ways of visualizing data by researching on the existing charts, graphs etc


PROJECT TIMELINE

The following shows our project timeline for the completion of this project:

Va timeline.jpg


TOOLS/TECHNOLOGIES

The following are some of the tools/technologies that we will be utilizing during the project:

  • Excel
  • Tableau
  • D3.js
  • JMP Pro



REFERENCES

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COMMENTS

Feel free to provide us with comments, suggestions and feedback to help us improve our project! (: