From Visual Analytics and Applications
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| − | =Abstract=
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| − | <br/>Based on the data from the data.gov.sg (the government's one-stop portal to its publicly-available datasets from 70 public agencies), I have tried to come up with an observation on the buying/selling pattern of the government flats, based on different variables such as flat type, months, and flat model. <br/>
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| − | =Problem and Motivation=
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| − | This write up will be a help for buyer/seller to observe, analyse and decide the following concerns :
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| − | 1. Whether they shall buy/sell the property ?
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| − | 2. In which month shall they buy/sell the property ?
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| − | 3. Which flat model will be in their budget ?<br/>
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| − | =Tools Used=
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| − | 1. Tableau
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| − | 2. JMP pro
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| − | 3. MS Excel
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| − | =Approaches=
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| − | <br/>To showcase the share of resale public housing supply in 2015, I have used number-of-resale-applications-registered-by-flat-types data set from Data.gov.sg website. This data set has the count of no_of_resale_application by flat_types and quarter. Using Tableau, I created the distribution of no_of_resale_applications by flat_type and quarter, below is the distribution view.<br/>
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| − | <img src="http://i63.tinypic.com/2eofxvc.jpg" alt="Mountain View" />
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| − | =Tools Utilised=
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| − | <br/><br/>
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| − | =Results=
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Latest revision as of 08:07, 29 August 2016
