Difference between revisions of "IS428-AY2019-20T1 Climate Vizards: Proposal - Others"

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<font size = 8; color="#000000"> Climate Vizards</font>
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[[IS428-AY2019-20T1_Climate_Vizards:_Proposal_-_Others| <font color="#000000">Proposal</font>]]
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[[IS428-AY2019-20T1_Climate_Vizards:_Application| <font color="#000000">Application</font>]]
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[[IS428-AY2019-20T1_Climate_Vizards:_Proposal| <font color="#000000">Problem & Motivation</font>]]
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[[IS428-AY2019-20T1_Climate_Vizards:_Proposal_-_Others| <font color="#000000">Others</font>]]
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=Timeline=
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=Challenges=
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{| class="wikitable"
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! Challenges !! Proposed solution
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| Understanding deeper levels of data visualisations to provide users with better insights on climate changes||
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Research more on different types of R packages
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| Creating interactive storyboards that can provide a holistic overview of the cause-and-effect of climate conditions. For example, being able to filter and zoom on-demand. || Continuous prototyping of the ideal dashboard
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| Using R and Rshiny to design the desired plots as close as we can to the ideal storyboard || Diligently complete the lessons in datacamp to understand how different attributes in different R packages function
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| Building complex visualisation such as spatial interpolation || Read up early and start trying at an earlier stage of the project as it will require time
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| Getting Singapore's temperature and rainfall data|| Diligently download the data by month and location
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Latest revision as of 20:44, 13 October 2019

Group1logo.jpg

Climate Vizards

Team

Proposal

Poster

Application

Research Paper

Problem & Motivation

Data Analysis & Transformation

Background Survey

Brainstorming & Storyboard

Tools & Technology

Others


Timeline

Schedule.jpg



















Challenges

Challenges Proposed solution
Understanding deeper levels of data visualisations to provide users with better insights on climate changes

Research more on different types of R packages

Creating interactive storyboards that can provide a holistic overview of the cause-and-effect of climate conditions. For example, being able to filter and zoom on-demand. Continuous prototyping of the ideal dashboard
Using R and Rshiny to design the desired plots as close as we can to the ideal storyboard Diligently complete the lessons in datacamp to understand how different attributes in different R packages function
Building complex visualisation such as spatial interpolation Read up early and start trying at an earlier stage of the project as it will require time
Getting Singapore's temperature and rainfall data Diligently download the data by month and location
Retrieved from ‘https://wiki.smu.edu.sg/1920t1is428g1/index.php?title=IS428-AY2019-20T1_Climate_Vizards:_Proposal_-_Others&oldid=6364’