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CONSIDERATION & VISUAL SELECTION

Below are a few visualizations and charts we considered making for our projects.

BRAINSTORMING SESSIONS

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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:

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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

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COMMENTS

Feel free to leave us some comments so that we can improve!

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