Difference between revisions of "Group02 proposal"

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Revision as of 15:40, 29 February 2020

Team

 

Proposal

 

Poster

 

Application

 

Research Paper




PROBLEM & MOTIVATION

When it comes to purchasing or renting a property, there are many factors that go into a buyer’s consideration before he makes the final decision. The primary concern for buyers is the pricing of the property [1].

However, our group identified that there are also secondary concerns such as the weather and the amenities available that do influence the buyer’s final decision to purchase the property.

There are limited tools available to help property buyers to identify areas that suit their needs/preferences best. The current tools that are available are only optimal to suit one category of concern, but fails when we try to use more categories to make our visualization.

For example, different people have different preferences for the weather. Some may prefer sunny weather while others prefer it to rain all the time. Currently, we are able to find weather information, and property prices information, but not both at the same time.

Through the visualization, our group hopes to be able to better allow for users to be able to visualize a home of his dreams.

OBJECTIVES

Target Group:


DATASET

Data/Source Variables/Description Methodology

BACKGROUND SURVEY OF RELATED WORK

Reference of Other Interactive Visualization Learning Points

Title:

Title:

Title:



Title:


REFERENCE LIST

References

KEY TECHNICAL CHALLENGES & MITIGATION

style="text-align: center;"|1.
No. Challenge Description Mitigation Plan
Software Challenge Unfamiliarity of visualisation tools such as R, R Shiny, Tableau.
  • Self-directed and peer learning
  • Watch video tutorials from YouTube
  • Stackoverflow research
  • Github Learning
  • Hands-on practice using the different training platforms such as Data Camps
2. Programming Challenge Inexperince with data cleaning and transformation using R
  • Watch video tutorials on how to fully utilise packages such as lapply, tidyr and dplyr
  • Trial and error
  • Read online articles and forums for guidance
3. Workload Constraint Time and Workload Constrains
  • Design reasonable project timeline based on everyone's ability and capacity.
  • Set milestones and adjust the timeline accordingly based on the team's progress.
4.

STORYBOARD

Dashboards Description

Dashboard 1:
  • Description 1
  • Description 2
  • Description 3

Dashboard 2
  • Description 1
  • Description 2
  • Description 3

Dashboard 3:
  • Description 1
  • Description 2
  • Description 3

MILESTONES

COMMENTS

No. Name Date Comments
1. (Name) (Date) (Comment)
2. (Name) (Date) (Comment)
3. (Name) (Date) (Comment)