Difference between revisions of "ISSS608 2016-17 T1 Assign1 xxx"

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Revision as of 07:51, 29 August 2016

Abstract


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.

Problem and Motivation


This write up will be a help for buyer/seller to observe, analyse and decide the following concerns :

1. Whether they shall buy/sell the property ?
2. In which month shall they buy/sell the property ?
3. Which flat model will be in their budget ?

Tools Used


1. Tableau
2. JMP pro
3. MS Excel


Approaches


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.

<img src="http://i63.tinypic.com/2eofxvc.jpg" alt="Mountain View" />


Tools Utilised



Results