Difference between revisions of "Group01 Report"
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====Data structure and display==== | ====Data structure and display==== | ||
− | A circular layout is composed of sectors, tracks and cells. | + | *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. | + | *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. | + | *Within each cell circlize allows the data to be displayed in the form of line graph, bar chart, histogram, scatterplot and heatmap. |
+ | *For the inner-most track, Circlize also allows chord diagram to visualize movement and relationship within data as well as a clustering to be performed. | ||
− | [[File:grp01_circlize03.png|300px]][[File:grp01_circlize02.png|300px]] | + | [[File:grp01_circlize03.png|300px]][[File:grp01_circlize02.png|300px]][[File:grp01_circlize05.png|300px]] |
==Visual Representation== | ==Visual Representation== |
Revision as of 21:22, 30 November 2017
WORLD DEVELOPMENT INDICATORS: A NEW VISUAL PERSPECTIVE
A web-based analytics application to visualize countries development across the globe
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Contents
Visual Design Framework
Raw Data
Data Tables
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.
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.
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.
- For the inner-most track, Circlize also allows chord diagram to visualize movement and relationship within data as well as a clustering to be performed.
Visual Representation
Circular Plot
Observation and Insights
Use case using Health Topic