Difference between revisions of "IS428 2016-17 Term1 Assign1 Wang Jingxuan"
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==Approaches== | ==Approaches== | ||
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=== Data Selection and Preparation === | === Data Selection and Preparation === | ||
Data Source: The data sources selected are:<br /> | Data Source: The data sources selected are:<br /> | ||
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* Quarterly Supply of Private Residential Properties in 2015<br /> | * Quarterly Supply of Private Residential Properties in 2015<br /> | ||
| − | The downloaded transactions are in 18 files so when I explored data, I have to union them. The quarterly supply of private residential properties downloaded are in 4 csv files, and each file contains a quarterly supply data. However quarterly supply data does not contain quarter number so I added in quarter parameter in csv files, then I unioned them with tableau. | + | The downloaded transactions are in 18 files so when I explored data, I have to union them.[[File:Union transactions|thumbnail]]<br /> |
| + | The quarterly supply of private residential properties downloaded are in 4 csv files, and each file contains a quarterly supply data. However quarterly supply data does not contain quarter number so I added in quarter parameter in csv files, then I unioned them with tableau. | ||
=== General Trend === | === General Trend === | ||
Revision as of 20:44, 28 August 2016
Contents
Abstract
Problem & Motivation
We know that private property pricing in Singapore has been rather high due to its land limit, and its government has introduced a series of cooling measures. Some people believe in the value of private property, some people say the value of property is decreasing. Through exploring the private property supply and demand in 2015, we want to answer these questions:
- For buyers, is it a good time to invest in private property, what and where should they invest?
- For policy makers, is it a good time to further constrain the supply of property, and what type of property?
Tools
Approaches
Data Selection and Preparation
Data Source: The data sources selected are:
- Transactions of Private Residential Property in 2015
- Quarterly Supply of Private Residential Properties in 2015
The downloaded transactions are in 18 files so when I explored data, I have to union them.
The quarterly supply of private residential properties downloaded are in 4 csv files, and each file contains a quarterly supply data. However quarterly supply data does not contain quarter number so I added in quarter parameter in csv files, then I unioned them with tableau.
