From Visual Analytics and Applications
Jump to navigation
Jump to search
|
|
| (8 intermediate revisions by 3 users not shown) |
| Line 1: |
Line 1: |
| − | =Abstract=
| |
| − | <br/>Public housing in Singapore is governed by the Housing and Development board. HDB flats are home to over 80% Singaporeans and hence it is important for all the stake holders to understand the supply and price trends for public housing. This will greatly influence the planning in future.
| |
| − | <br/>
| |
| | | | |
| − | =Problem and motivation=
| |
| − | <p> The study aims at -<br/>
| |
| − | * Understanding the share of supply of resale public housing in 2015. <br/>
| |
| − | * Studying the distribution of resale prices with respect to important dimensions such as town and flat type.<br/>
| |
| − | * Compare the patterns for 2015 and first half of 2016.<br/>
| |
| − | * Note key observations and inferences through visual analytics. The goal is to note a minimum of 3 observations in each case.
| |
| − | <br/>
| |
| − | </p>
| |
| − |
| |
| − | =Tools Used=
| |
| − | <br/>Tableau version 10.0<br/>
| |
| − |
| |
| − | =Approaches=
| |
| − | <br/><br/>
| |
| − | <br/>
| |
| − |
| |
| − | =Tools Utilised=
| |
| − | <br/><br/>
| |
| − | =Results=
| |
Latest revision as of 14:08, 7 May 2017
