Difference between revisions of "ShinyNET Data Prep Report"

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shinyNET is a web-based visual analytics tool that allows users to visualise flights data as a network graph. It is built by using R Shiny framework to integrate a collection of R packages for data wrangling, data tidying , data visualisation and graph analysis. With the responsive interfaces of shinyNET, users can choose to visualise the entire airlines systems or to visualise the network graph of a selected airlines system. It also allows users to compute network geometrics such as betweenness, closeness and to use these newly derived measures to enhance the data discovery process.
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In this era of increasing openness, the importance of information created or held by the government has become impossible to deny. Government is one of the largest producers of information in many areas, such as business information, health data, geographic data, census data, and legal information. Allowing the public to access public information has become an important objective in many of the latest data.gov initiative of countries worldwide. Despite the increasing availability of government data, the use of these data by the public is often hampered by a general lack of appropriate and unaffordable data exploratory and analysis tool. This is particularly true if the data is geospatial and high-dimensional in nature. In view of this, our project aims to design and develop a geo visual analytics tool for data discovery from geographically reference statistical data. <br/><br/>
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The application we developed is called CenViz. It is developed using R Shinny framework and several R data visualization packages such as tmpa, micromap and treemap. This presentation consists of four sections.First, the motivation and objectives of the project will be discussed.This is followed by a detailed discussion on the principles and concepts of micromap. After which, the R packages used to develop the application and the user-interface designed will be discussed. Using the latest census data of India, we will demonstrate how the functions of CenViz can be used to detect the geospatial patterns and attribute distributions of literacy in the country.  
  
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All these analysis and visualisation are performed without having the users to type a single line of code.
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Our main aim is to investigate the airport network infrastructure of India (ANI) to explore its various properties and its traffic dynamics. We propose to build a visual network exploration tool using R. This tool can be used not only to explore the airport network in India but also can be used to explore any kind of airport network.
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Revision as of 15:00, 6 August 2017

shinyNET

Project Proposal

Data Preparation

Poster

Application

Report

 


Motivation of the Application

In this era of increasing openness, the importance of information created or held by the government has become impossible to deny. Government is one of the largest producers of information in many areas, such as business information, health data, geographic data, census data, and legal information. Allowing the public to access public information has become an important objective in many of the latest data.gov initiative of countries worldwide. Despite the increasing availability of government data, the use of these data by the public is often hampered by a general lack of appropriate and unaffordable data exploratory and analysis tool. This is particularly true if the data is geospatial and high-dimensional in nature. In view of this, our project aims to design and develop a geo visual analytics tool for data discovery from geographically reference statistical data.

The application we developed is called CenViz. It is developed using R Shinny framework and several R data visualization packages such as tmpa, micromap and treemap. This presentation consists of four sections.First, the motivation and objectives of the project will be discussed.This is followed by a detailed discussion on the principles and concepts of micromap. After which, the R packages used to develop the application and the user-interface designed will be discussed. Using the latest census data of India, we will demonstrate how the functions of CenViz can be used to detect the geospatial patterns and attribute distributions of literacy in the country.

Review and critic on past works

Design Framework

Demonstration

Discussion

Future Work

Installation Guide

Sample Installation Guide

User Guide

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