Difference between revisions of "ISSS608 2016-17 T1 Assign1 Aditya Hariharan"
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=Abstract= | =Abstract= | ||
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| − | + | Data has an important story to tell. They rely on us to give them a clear and convincing voice. The data used in the ensuing report has been taken from the government of Singapore’s open data portal ‘data.gov.sg’ to answer certain essential questions related to the supply and prices of housing units in Singapore’s resale public housing market. | |
| + | In this assignment I will be exploring various trends in Singapore’s resale public housing supply and price distribution across the various towns and residential areas within Singapore. The main variables I will be considering are: | ||
| + | 1. The number of resale applications in Singapore | ||
| + | 2. Each Flat type and their sum total and average number of applications | ||
| + | 3. The price of the Housing Units across the geography of Singapore. | ||
| + | |||
| + | =Problem and Motivation= | ||
| + | From the data extracted from the open portal, it is clear that there is a clear dilution of supply in housing units for quarter-1 of 2015 which immediately spikes up in Quarter 2 and reduces slightly from there in the next 2 Quarters. The supply is maximum in Quarter 2 which could be inferred as a drop in demand for the housing for the same quarter. | ||
Revision as of 17:49, 29 August 2016
Abstract
Data has an important story to tell. They rely on us to give them a clear and convincing voice. The data used in the ensuing report has been taken from the government of Singapore’s open data portal ‘data.gov.sg’ to answer certain essential questions related to the supply and prices of housing units in Singapore’s resale public housing market.
In this assignment I will be exploring various trends in Singapore’s resale public housing supply and price distribution across the various towns and residential areas within Singapore. The main variables I will be considering are:
1. The number of resale applications in Singapore
2. Each Flat type and their sum total and average number of applications
3. The price of the Housing Units across the geography of Singapore.
Problem and Motivation
From the data extracted from the open portal, it is clear that there is a clear dilution of supply in housing units for quarter-1 of 2015 which immediately spikes up in Quarter 2 and reduces slightly from there in the next 2 Quarters. The supply is maximum in Quarter 2 which could be inferred as a drop in demand for the housing for the same quarter.
