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Dataset/Source	Data Attributes	Rationale Of Usage
description (insert link )	bulllet bulllet bulllet bulllet	description
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 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 We can understand the monthly visitor arrivals' patterns throughout the year. However, we feel that a time series line graph would be more appropriate, and there should be a wider year range to better understand the exact trend in visitor arrivals. Title: Foreign tourists visiting Korea by 2015 250px Source:http://m.datanews.co.kr/m/m_article.html?no=2995 This bar chart displays the visits to various tourist attraction by year. Data labels and legends can help us see the precise figures. Title: Most visited tourism attractions in South Korea 2015 250px Source:https://know.tour.go.kr/ptourknow/knowplus/kChannel/kChannelPeriod/kChannelPeriodDetail.do?seq=102612 This helps us to learn the most visited attractions by region as well as the increase / decrease as compared to the previous year. We can enhance on this idea to make an interactive map so that the user can analyze with filters. CONSIDERATION & VISUAL SELECTION Below are a few visualizations and charts we considered making for our projects. 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 500px To come up with the story board, our group met up several times to try and come up with a visual. The two charts above are a few dashboards we considered making for our project. First Chart being a Chord diagram of visitors coming in and out of Korea. With an attractive look and great interaction, at first we felt that it was a good dashboard. But with some discussion and consultations, we realised that it would not help us achieve our goal of seeing the seasonal trend of visitors through the years. The second chart is a map with a hover function to see the popularity. We still stick to a similar design but instead of a tooltip like feel, we decided to give a whole section to the popularity part. After the sessions, we came up with our final designs which are listed below. PROPOSED STORYBOARD Below is the proposed story board for our project: Storyboard Insights / Comments Title: Storyboard 1 - Seasonal Trend 300px Aims to show the seasonal trend of yearly visitor arrivals by country and month. There is a slider to select the year range and two dropdowns to analyse specific months and countries. Title: Storyboard 2 - Tourist Attractions 400px Aims to show the yearly / monthly trend in popular tourism destinations, filtered by year and month. After selecting a region, the map will zoom in and display various tourism attractions within that region. When the user hovers over a specific destination, there will be a time series graph of the local / foreigner arrivals as well as a picture of the destination. Title: Storyboard 3 - Demographic information 400px Aims to provide demographic information and the purpose of arrival through trend line charts and other barcharts. Users can select the year/month and country from the dropdown list. TECHNOLOGIES The technologies we will be using for this Project is as below: 650px CHALLENGES Challenges Mitigation Plan Unfamiliarity of Visualization Technologies such as Tableau, R,Rshiny etc. Attending Workshop on R and Rshiny Hands-on Practice with different technologies. Peer Learning. Data Cleaning & Transformation from messy data. Organize Meeting Sessions to meet and do data cleaning and transformation together. Split the work between team members. Python Scripting to find Top 10, Sort data and translate. Integrating Relevant Data from Multiple Sources Proposed Solution. Working together to decide on what data to extract or eliminate. Trial and test for one set of data together before splitting the work. TIMELINE 1000px COMMENTS Feel free to leave us some comments so that we can improve! No. Name Date Comments 1. Insert your name here Insert date here Insert comment here 2. Insert your name here Insert date here Insert comment here 3. Insert your name here Insert date here Insert comment here