Difference between revisions of "ISSS608 Assign3 HoLiChin Conclusion"
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| − | == | + | == Conclusion == |
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| + | This assignment was indeed a challenging one. We need to access to the communication data over the three days, and to use visual analytics to characterize the communication patterns throughout the park. | ||
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| + | One of the key takeaway from this assignment is the opportunity to explore and to use different visual analytics tools. Tableau and Qlik Sense were used as data visualization software to quickly visualize the data to detect for expected and unexpected patterns. The use of Gephi, a platform used to visualise network graphs, allows one to discover pattern in a large network graph. | ||
Latest revision as of 15:42, 28 October 2016
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Tools Used
1) JMP 12.2.0 - for data cleaning and preparation for visualisation
2) Tableau 10.0 - for data visualisation and analysis
3) Qlik Sense - for data visualisation and analysis
4) Gehpi 0.9.1 - to create network graph for visualisations with the use of nodes and edges
Tableau Visualisations Links
Task 1
https://public.tableau.com/profile/publish/Combined-data-ALL/Q1_Sender#!/publish-confirm
Task 2
https://public.tableau.com/profile/publish/Combined-data-ALL/OverallPatterns#!/publish-confirm
https://public.tableau.com/profile/publish/Combined-data-ALL/ID839736#!/publish-confirm
https://public.tableau.com/profile/publish/Combined-data-ALL/PavilionSuspect#!/publish-confirm
Conclusion
This assignment was indeed a challenging one. We need to access to the communication data over the three days, and to use visual analytics to characterize the communication patterns throughout the park.
One of the key takeaway from this assignment is the opportunity to explore and to use different visual analytics tools. Tableau and Qlik Sense were used as data visualization software to quickly visualize the data to detect for expected and unexpected patterns. The use of Gephi, a platform used to visualise network graphs, allows one to discover pattern in a large network graph.
