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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
Visitor Arrivals Statistics (2007 January - 2018 September) (https://kto.visitkorea.or.kr/eng/tourismStatics/keyFacts/KoreaMonthlyStatistics.kto )	Month Year Country Number of Visitor Arrivals	This dataset will be used to understand the number of visitors to South Korea from 2007 January to 2018 June. This will allow us to understand the inflow of visitors and see the trend (seasonal trend) of when the visitors come in.
International Visitor Survey (2007 - 2018 ) (https://kto.visitkorea.or.kr/kor/notice/data/statis/tstatus.kto)	City Tourist Attraction Local/Foreigner Date No. of Visitors Latitude Longitude	This dataset will be used to understand the most popular tourist attraction in the different major cities in Korea. We will also be able to gain insights on the Number of visitors to each attraction and also if they are local and foreigner visitors which will allow us to see the difference between locals and foreigners.
Entry by nationality by age (2007 - 2018) (Click to View Data)	City Age Range Date	This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Age Range.
Entry by nationality by Sex (2007 - 2018) (Click to View Data)	City Sex Date	This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Gender.
Entry by nationality by Purpose (2007 - 2018) (Click to View Data)	City Purpose of Visit Date	This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Purpose of Visit.

BACKGROUND SURVEY

Before we embarked on this project, we did some basic background research on this topic to see if there were any visualizations or dashboards we could drive inspirations from or make it better. Below are a few visuals we found:

Reference of Other Interactive Visualization

Learning Point

Title: Monthly Number of Individual Travelling Visitors (2016) Source:https://www.data.go.kr/visual/content/577 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. Brainstorming Sessions Proposed Storyboard Tools and Technologies Used Challenges Timeline Comments