Difference between revisions of "Group1 Introduction"
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| − | == Welcome to Group 1 project page == | + | ==Welcome to Group 1 project page== |
<p><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The page covers the work carried out to develop an interactive visualisation and application to solve real world business problems. The report outlines the motivation behind the application developed, covering how a particular data set can be tweaked to visualise traffic networks, and derive patterns out of it. The framework for the application is R, with special focus on the </span><strong><em><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">ggraph </span></em></strong><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">and the </span><strong><em><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">ggplotly </span></em></strong><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">packages. The report also covers the previous work conducted in the field of traffic network visualisation and other tools that exist to perform similar visualisations. A full step user guide is also provided for easy replication. The report concludes with a coverage of the assumptions and limitations of the application. For readers wishing to get more context quickly on the application, you may refer to the [[Poster|Poster tab]]. </span></p> | <p><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The page covers the work carried out to develop an interactive visualisation and application to solve real world business problems. The report outlines the motivation behind the application developed, covering how a particular data set can be tweaked to visualise traffic networks, and derive patterns out of it. The framework for the application is R, with special focus on the </span><strong><em><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">ggraph </span></em></strong><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">and the </span><strong><em><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">ggplotly </span></em></strong><span style="font-size: 11pt; font-family: Arial; color: #000000; background-color: transparent; font-weight: 400; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">packages. The report also covers the previous work conducted in the field of traffic network visualisation and other tools that exist to perform similar visualisations. A full step user guide is also provided for easy replication. The report concludes with a coverage of the assumptions and limitations of the application. For readers wishing to get more context quickly on the application, you may refer to the [[Poster|Poster tab]]. </span></p> | ||
Revision as of 15:32, 4 August 2017
Discovering traffic patterns by using network graph visualisations
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Welcome to Group 1 project page
The page covers the work carried out to develop an interactive visualisation and application to solve real world business problems. The report outlines the motivation behind the application developed, covering how a particular data set can be tweaked to visualise traffic networks, and derive patterns out of it. The framework for the application is R, with special focus on the ggraph and the ggplotly packages. The report also covers the previous work conducted in the field of traffic network visualisation and other tools that exist to perform similar visualisations. A full step user guide is also provided for easy replication. The report concludes with a coverage of the assumptions and limitations of the application. For readers wishing to get more context quickly on the application, you may refer to the Poster tab.
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