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Selected Dataset

The Data Sets we will be using for our analysis and for our application is listed below:

Dataset/Source	Data Attributes	Rationale of Usage
Resale Flat Price (Jan 2015 - Aug 2019) (https://data.gov.sg/dataset/resale-flat-prices?resource_id=42ff9cfe-abe5-4b54-beda-c88f9bb438ee)	Month Town Flat type Block Street Name Storey range Floor Area sqm Flat Model Lease Commence Date Remaining Lease Resale Price	This dataset will be used to understand the resale transacted price and see the price trend change over year.

Background Survey

Visual Considerations	Insights / Comments
Title: Sunburst Diagram Source:https://bl.ocks.org/mbostock/4348373	Pros: Aims to show various sub-components of a particular category Can drill down to multiple divisions to observe the distribution by percentages May be useful to analyze tourism receipts by components and country Cons: Difficult to break down the huge number of markets Does not provide a comprehensive time-series comparison
Title: Treemap 250px Source:https://www.theinformationlab.co.uk/2015/02/10/show-treemaps/	Pros: Effective visualisation to organise multivariate data by hierarchy We can effectively see the purpose of visit for the top 10 visiting countries to Korea. Cons: It would be hard to compare between years and months for different countries. The hierarchy will only be 2 levels so the interaction would not be as much.
Title: Chord Diagram 250px Source:https://beta.observablehq.com/@mbostock/d3-chord-diagram	Pros: Effective visualisation to see the influx of Visitors from and to Korea. We will be able to easily spot the country with the most travelers to Korea. Cons: This chart will make it harder to spot trends in the visiting pattern. We will not be able to see every single country as the size of the chord diagram is limited.