Difference between revisions of "HomeIntel"

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== Objectives ==  
 
== Objectives ==  
  
== Selected Dataset ==  
+
== Selected Dataset ==
 +
 
 +
The Data Sets we will be using for our analysis and for our application is listed below:
 +
 
 +
|-
 +
| <center>
 +
'''Title''': Foreign tourists visiting Korea by 2015
 +
[[File:Nogada.png|250px|frameless|center]]
 +
'''Source''':http://m.datanews.co.kr/m/m_article.html?no=2995
 +
</center>
 +
||
 +
 
 +
* This bar chart displays the visits to various tourist attraction by year.
 +
* Data labels and legends can help us see the precise figures.
 +
 
 +
|-
 +
 
 +
| <center>
 +
'''Title''': Most visited tourism attractions in South Korea 2015
 +
[[File:BackgroundSurvey3Nogada.jpg|250px|frameless|center]]
 +
'''Source''':https://know.tour.go.kr/ptourknow/knowplus/kChannel/kChannelPeriod/kChannelPeriodDetail.do?seq=102612
 +
</center>
 +
||
 +
 
 +
* 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.
 +
 
 +
|-
 +
|}
 +
</center>
 +
<br/>
 +
 
 +
==<div style="background:#143c67; padding:15px; font-weight: bold; line-height: 0.3em;letter-spacing:0.5em;font-size:20px"><font color=#fbfcfd face="Century Gothic"><center>CONSIDERATION & VISUAL SELECTION</center></font></div>==
 +
<br/>
 +
 
 +
Below are a few visualizations and charts we considered making for our projects.
 +
 
 +
<center>
 +
{| class="wikitable" style="background-color:#FFFFFF;" width="90%"
 +
|-
 +
! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 45%;" | Visual Considerations
 +
! style="font-weight: bold;background: #141414;color:#fbfcfd;width: 55%" | Insights / Comments
 +
|-
 +
| <center>
 +
'''Title''': Sunburst Diagram
 +
[[File:Sunburst.png|250px|frameless|center]]
 +
'''Source''':https://bl.ocks.org/mbostock/4348373
 +
</center>
 +
 
 +
||
 +
 
 +
*'''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
 +
 
 +
|-
 +
| <center>
 +
'''Title''': Treemap
 +
[[File:Treemap.png|250px|frameless|center]]
 +
'''Source''':https://www.theinformationlab.co.uk/2015/02/10/show-treemaps/
 +
</center>
 +
||
 +
 
 +
*'''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.
 +
 
 +
|-
 +
| <center>
 +
'''Title''': Chord Diagram
 +
[[File:Chord.png|250px|frameless|center]]
 +
'''Source''':https://beta.observablehq.com/@mbostock/d3-chord-diagram
 +
</center>
 +
||
 +
 
 +
*'''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.
 +
 
 +
|-
 +
|}
 +
</center>
  
 
== Background Survey ==  
 
== Background Survey ==  

Revision as of 02:54, 13 October 2019

Logo home.png


Team

 

Proposal

 

Poster

 

Application

 

Research Paper


<--- Go Back to Project Groups

Problem and Motivation

Objectives

Selected Dataset

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

|-

|

Title: Foreign tourists visiting Korea by 2015

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

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

Sunburst.png

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

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

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.

Background Survey

Brainstorming Sessions

Proposed Storyboard

Tools and Technologies Used

Challenges

Timeline

Comments