Difference between revisions of "ISSS608 2016-17 T1 Assign1 XXX"
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| − | + | =Abstract= | |
| + | <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/> | ||
| + | =Problem and Motivation= | ||
| + | <br/> | ||
| + | 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 ?<br/> | ||
| + | |||
| + | =Tools Used= | ||
| + | <br/> | ||
| + | 1. Tableau | ||
| + | 2. JMP pro | ||
| + | 3. MS Excel | ||
| + | <br/> | ||
| + | |||
| + | =Approaches= | ||
| + | <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/> | ||
| + | <br/> | ||
| + | <img src="http://i63.tinypic.com/2eofxvc.jpg" alt="Mountain View" /> | ||
| + | |||
| + | |||
| + | |||
| + | =Tools Utilised= | ||
| + | <br/><br/> | ||
| + | =Results= | ||
Revision as of 08:07, 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
