Difference between revisions of "ChargeMetrics Proposal"
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%" | {| class="wikitable" style="background-color:#FFFFFF;" width="100%" | ||
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− | ! style="font-weight: bold;background: # | + | ! style="font-weight: bold;background: #000000;color:#ffcc33;width: 30%;" | Dataset/Source |
− | ! style="font-weight: bold;background: # | + | ! style="font-weight: bold;background: #000000;color:#ffcc33;width: 30%" | Data Attributes |
− | ! style="font-weight: bold;background: # | + | ! style="font-weight: bold;background: #000000;color:#ffcc33;" | Rationale Of Usage |
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| <center>Resales flat prices from Mar 2012 onwards<br/> | | <center>Resales flat prices from Mar 2012 onwards<br/> | ||
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{| class="wikitable" style="background-color:#FFFFFF;" width="100%" | {| class="wikitable" style="background-color:#FFFFFF;" width="100%" | ||
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− | ! style="font-weight: bold;background: # | + | ! style="font-weight: bold;background: #000000;color:#ffcc33;width: 50%;" | Related Works |
− | ! style="font-weight: bold;background: # | + | ! style="font-weight: bold;background: #000000;color:#ffcc33;" | What We Can Learn |
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+ | <!-- START CHALLENGES --> | ||
+ | |||
+ | ==<div style="margin-top: 6px;font-weight:bold;text-align: left;font-size:20px; border-bottom:5px solid #ffcc33;text-align:center; background-color: #000000; color: #ffcc33; padding: 2px">Challenges</div>== | ||
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+ | <!-- END CHALLENGES --> | ||
+ | {| class="wikitable" style="background-color:#FFFFFF;" width="100%" | ||
+ | |- | ||
+ | ! style="font-weight: bold;background: #000000;color:#ffcc33;width: 30%;" | Challenges | ||
+ | ! style="font-weight: bold;background: #000000;color:#ffcc33;" | Possible Solutions | ||
+ | |- | ||
+ | | | ||
+ | <p>Unfamiliar with D3.js </p> | ||
+ | || | ||
+ | * Independent learning through online learning resources | ||
+ | * Validating learning outcome through review and coding practices | ||
+ | |- | ||
+ | | <p>Data Merge, Cleaning and Transformation</p> | ||
+ | || | ||
+ | * Subzone energy usage data: | ||
+ | * Missing NA records: government have purposedly removed some data points to enforce the data privacy. We will be examine the effect of remove the NA and decide the appropriate action to take. | ||
+ | |- | ||
+ | | <p>Choice of web hosting provider</p> | ||
+ | || | ||
+ | * A quick production pipeline required due to the time limit | ||
+ | * Examine the requirement of the data visualisation: dynamic or statics | ||
+ | * Current solution is to use Github Page as a hosting provider there is no dynamic data retrieval required | ||
+ | |- | ||
+ | | <p>Unfamilar with implementation efforts required for customized D3.js interactivity</p> | ||
+ | || | ||
+ | * The week will be spending 2 weeks to familiarize with D3.js structure & syntax | ||
+ | * Follwing 2 weeks will be trying out the customized D3.js interactivity | ||
+ | * The project scope and plan will be re-examined based on the project objective, complexity and time available | ||
+ | |} | ||
− | <!-- References --> | + | <!-- START References --> |
==<div style="margin-top: 6px;font-weight:bold;text-align: left;font-size:20px; border-bottom:5px solid #ffcc33;text-align:center; background-color: #000000; color: #ffcc33; padding: 2px"> References</div>== | ==<div style="margin-top: 6px;font-weight:bold;text-align: left;font-size:20px; border-bottom:5px solid #ffcc33;text-align:center; background-color: #000000; color: #ffcc33; padding: 2px"> References</div>== | ||
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[1] Energy Market Authority (https://www.ema.gov.sg/singapore_energy_statistics.aspx) <br /> | [1] Energy Market Authority (https://www.ema.gov.sg/singapore_energy_statistics.aspx) <br /> | ||
[2] Data Gov Database (https://data.gov.sg) <br /> | [2] Data Gov Database (https://data.gov.sg) <br /> | ||
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[5] One Map (https://www.onemap.sg/main/v2/) <br /> | [5] One Map (https://www.onemap.sg/main/v2/) <br /> | ||
[6] Energy Consumption Predition Example (http://cs109-energy.github.io/building-energy-consumption-prediction.html) <br /> | [6] Energy Consumption Predition Example (http://cs109-energy.github.io/building-energy-consumption-prediction.html) <br /> | ||
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<!-- START Feedback --> | <!-- START Feedback --> | ||
==<div style="margin-top: 6px;font-weight:bold;text-align: left;font-size:20px; border-bottom:5px solid #ffcc33;text-align:center; background-color: #000000; color: #ffcc33; padding: 2px"> Feedback</div>== | ==<div style="margin-top: 6px;font-weight:bold;text-align: left;font-size:20px; border-bottom:5px solid #ffcc33;text-align:center; background-color: #000000; color: #ffcc33; padding: 2px"> Feedback</div>== | ||
+ | Please feel free leave your comments, suggestions or anything interesting :) | ||
<!-- END Feedback --> | <!-- END Feedback --> | ||
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Latest revision as of 19:04, 14 October 2018
HOME | PROJECT POSTER | RESEARCH PAPER |
Contents
Motivation
Objectives
Data
Dataset/Source | Data Attributes | Rationale Of Usage |
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(https://data.gov.sg/dataset/resale-flat-prices?resource_id=83b2fc37-ce8c-4df4-968b-370fd818138b ) (https://data.gov.sg/dataset/resale-flat-prices?resource_id=8c00bf08-9124-479e-aeca-7cc411d884c4 ) (https://data.gov.sg/dataset/resale-flat-prices?resource_id=adbbddd3-30e2-445f-a123-29bee150a6fe ) |
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(https://www.mytransport.sg/content/mytransport/home/dataMall.html#) |
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(https://www.mytransport.sg/content/mytransport/home/dataMall.html#) |
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(https://data.gov.sg/dataset/master-plan-2014-subzone-boundary-no-sea) |
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Related Works
The following related work
There are many charts and visualisations available which illustrates the various trends of house prices and index. We have selected a few of these to study and learn before we begin developing our own visualizations.
Related Works | What We Can Learn |
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Prototype
Project Schedules
Challenges
Challenges | Possible Solutions |
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Unfamiliar with D3.js |
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Data Merge, Cleaning and Transformation |
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Choice of web hosting provider |
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Unfamilar with implementation efforts required for customized D3.js interactivity |
|
References
[1] Energy Market Authority (https://www.ema.gov.sg/singapore_energy_statistics.aspx)
[2] Data Gov Database (https://data.gov.sg)
[3] D3.js (Documentation https://d3js.org/)
[4] Observalehq (https://beta.observablehq.com/)
[5] One Map (https://www.onemap.sg/main/v2/)
[6] Energy Consumption Predition Example (http://cs109-energy.github.io/building-energy-consumption-prediction.html)
Feedback
Please feel free leave your comments, suggestions or anything interesting :)