NO.G.A.D.A

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Team

 

Proposal

 

Poster

 

Application

 

Research Paper


PROBLEM

Over the years, the tourism sector has been an essential part of South Korea’s growth, with over 17 million of foreign tourists having reached Korea in 2016. Under the Ministry of Culture and Tourism of South Korea, the Korea Tourism Organisation (KTO) currently oversees and promotes Korea as a vibrant and popular tourism destination through various strategic assignments. By 2022, some of the goals that KTO aims to reach is to receive earnings of USD$ 25 billion to boost its national economy, attract over 350 thousands of tourism industry employees, and become the best public enterprise.

With in this mind, KTO is currently working to improve the quality of tourism experience of international visitors and maximize the economic contribution in the long term.


MOTIVATION

Our main motivation in this research is to address the lack of a convenient and comprehensive platform to study the correlations and trends amidst South Korea’s rapidly growing and developing tourism industry.

Currently, Korea Tourism Organization (KTO) provides market reports and basic info-graphics to analyze large amounts of complex data through the website and annual reports. Having mentioned KTO’s goals before, it is essential to further identify areas that need attention and further investment and clarify seasonal patterns of international visitors.


OBJECTIVES

Out of the many insights we can drive from the data set, we decided to focus on 3 main objectives. The objectives we hope to address through this project are as follows:

  1. Gain overall insight on the monthly visitor arrivals and seasonal trend to South Korea over the last 10 years.
  2. Identify popular tourism destinations in different regions of Korea and the yearly trend of the tourism destinations.
  3. Gain insights on the purpose of visit and other demographic information of the international visitors.


By taking a look at these three information about the tourism, we would be able to understand the influx of visitors, why they come along with the places they visit when they come. This would allow us and the users of the application to know what season is the most popular, what tourist attraction is popular in each province etc.


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.
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 data provides an information of Longitude and Latitude of the Region and Attraction

BACKGROUND SURVEY

Reference of Other Interactive Visualization Learning Point

Title: Monthly Number of Individual Travelling Visitors (2016)

Example1.png

Source:https://www.data.go.kr/visual/content/577

  • Us

Title: Foreign tourists visiting Korea by 2015

Nogada.png

Source:http://m.datanews.co.kr/m/m_article.html?no=2995

  • City
  • Tourist Attraction
  • Local/Foreigner
  • Date
  • No. of Visitors
  • Latitude
  • Longitude