Difference between revisions of "Group01 Report"

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====Data Mapping====
+
====Data structure and display====
  
 
A circular layout is composed of sectors, tracks and cells.<br>
 
A circular layout is composed of sectors, tracks and cells.<br>
As illustrated in the figure below, the red circle is one track, the blue represents one sector and the intersection of a sector and a track is called a cell.
+
As illustrated in the figure below, the red circle is one track, the blue represents one sector and the intersection of a sector and a track is called a cell.<br>
 +
Within each cell circlize allows the data to be displayed in the form of line graph, bar chart, histogram, scatterplot and heatmap.
  
[[File:grp01_circlize02.png|300px]][[File:grp01_circlize03.png|300px]]
+
[[File:grp01_circlize03.png|300px]][[File:grp01_circlize02.png|300px]]
 
 
 
 
WDI data will be mapped into the circular plot in 3 visual representation. The main data filtering will be Topic.
 
 
 
*'''Circular Plot #1'''
 
**Sector: Country
 
**Track: Years
 
**Cell: Series Values
 
*'''Circular Plot #2'''
 
**Sector: Series
 
**Track: Years
 
**Cell: Series value of a country
 
*'''Circular Plot #3'''
 
**Sector: Countries
 
**Track: Indicators
 
  
 
==Visual Representation==
 
==Visual Representation==

Revision as of 21:15, 30 November 2017

Grp01 headerImage.png


WORLD DEVELOPMENT INDICATORS: A NEW VISUAL PERSPECTIVE
A web-based analytics application to visualize countries development across the globe


OVERVIEW

PROPOSAL

POSTER

APPLICATION

REPORT


Visual Design Framework

Grp01 design framework.png

Raw Data

Grp01 datastructure.png

Data Tables

Grp01 datatable.png

Visual Structure

Circlize

For development of the visual application, R will be used as the base code with the focus on using Circlize package to create the graphical visualization for WDI data.


Grp01 circlize01.png

The reason for selecting the Circlize package is that Circular layout is an efficient way for the visualization of massive amounts of information. This package provides an implementation of circular layout generation in R and provide the flexibility the use low-level and high-level graphics functions as defined by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data.



Grp01 circlize04.png

Circular visualization is popular in Genomics related fields. It is efficient in revealing associations in high dimensional genomic data. Other used case includes visualizing for the movement of Global migration where movement can be plotted using Chord diagram within a circular plot.

This project will be the very first known project to use circular plot represent the multi-dimensional WDI data to create a whole new graphical visualization to the user.


Data structure and display

A circular layout is composed of sectors, tracks and cells.
As illustrated in the figure below, the red circle is one track, the blue represents one sector and the intersection of a sector and a track is called a cell.
Within each cell circlize allows the data to be displayed in the form of line graph, bar chart, histogram, scatterplot and heatmap.

Grp01 circlize03.pngGrp01 circlize02.png

Visual Representation

Circular Plot

Observation and Insights

Use case using Health Topic

Limitation and Future Works

Limitation of the current application

Future improvement of the application

References