Difference between revisions of "Assignment"

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Overall balanced discussion. Section 2,3 and 4 provided very useful details and discussion.
 
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[https://admiring-babbage-48f9ce.netlify.app/posts/2021-04-05-assignment/ Assignment-Distill]
 
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The [https://trusting-brattain-11cec4.netlify.app/posts/2021-03-27-covid-deaths/#prototype Prototype] and [https://trusting-brattain-11cec4.netlify.app/posts/2021-03-27-covid-deaths/#storyboard-for-shiny-app Storyboard]sections of assignment are very well discussed.
 
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Latest revision as of 15:50, 18 April 2021

Vaa logo.jpg ISSS608 Visual Analytics and Applications

About

Weekly Session

DataViz Makeover

Assignment

Visual Analytics Project

Resources

 


The Task

The assignment is part of the bigger Shiny-based Visual Analytics Application (Shiny-VAA) project. Each team member is required to select a sub-module from the proposed Shiny-VAA and to complete the tasks below:

  • Conducting literature review on how the analysis were performed before. The focus should be on identifying gaps whereby interactive web approach and visualanalytics techniques can be used to enhance user experience on using the analysis techniques.
  • Preparing the storyboard for the design of the sub-module.
  • Extracting, wrangling and preparing the input data required to perform the analysis. The focus should be on exploring appropriate tidyverse methods
  • Testing and prototyping the proposed sub-module in R Markdown. The R Markdown document must be in full working html report format. This link1 and link2 provides useful examples for your reference.


Submission Instructions

  • The assignment report must be written by using R Markdown. It can be in either Distill or blogdown format. You are required to publish the assignment report on netlify and provide the link on the assignment submission page on elearn.
  • Upload the R Markdown document, web report and data to your team Visual Analytics Project Github repository and provide the link on the assignment submission page on eLearn.
  • To encourage peer-learning, students must provide the link to the web blog your prepared in the table below.


Submission date

11th April 2021 (Sunday), mid-night 11:59pm.


Assignment Blog Link

Student Name Assignment Link Comment

ANG SU YIIN

Assignment

BAI XINYUE

Assignment

BOEY YI HEEN

Assignment

BUI ANH HOANG

Forecast Module

CHEE KAH WEN GERALD

Assignment

CHERYL PAY WEI LIN

Assignment

CHONG JIA JUN LOUIS

Assignment

CHOONG SHI LIAN SELENE

Assignment

CHUA SI MIN JOEY

Assignment

ELAINE LEE

Assignment

FOO BIAOSHENG ATTICUS

Assignment

GABRIELLA PAULINE DJOJOSAPUTRO

Assignment

HAI DAN

Assignment

HUANG LING

Assignment

JIANG WEILING ANGELINE

Assignment

KEVIN GUNAWAN ALBINDO

Assignment

LAU WEI HAN AMOS

Assignment

LEE SHENG WEI ANDRE JUSTIN

Assignment

LI HONGTING

LI ZHENGLONG

Assignment

LIM JUN JIE TIMOTHY

Assignment

LIM KAI CHIN

Assignment

LIM PEK LOONG DESMOND

Assignment

LIN YONGYAN

Assignment

The storyboards of the design for the proposed Shiny application are very presented.

LIU JIE

Assignment

NAM JIHUN

Assignment

NG WEE KIEN

Assignment

Overall balanced discussion. Section 2,3 and 4 provided very useful details and discussion.

PHANG HUI WEN EVELYN

Assignment-Group BlogDown
Assignment-Distill

SIOW MUN CHAI

Assignment

TAN HUIYONG

Assignment

TAN WEI LI AMANDA

Assignment

The Prototype and Storyboardsections of assignment are very well discussed.

TANG HAOZHENG

Assignment

TAY KAI LIN

Assignment

TEO CHYE TECK

Assignment

TEO FENGMIN LOUELLE

Assignment

TEY SHOU HENG JASON

Assignment

TOH MEI SIEW

Assignment

VIKRAM SHASHANK DANDEKAR

Assignment

WANG ZIQI

Assignment

WONG KIAN HOONG

Assignment

WONG WEI SHENG DYLAN

Assignment

WU YUFENG

Assignment

ZHANG WEIMIN

Retrieved from ‘https://wiki.smu.edu.sg/2021t2isss608/index.php?title=Assignment&oldid=996’