ANLY482 AY2016-17 T1 Group2: Project Findings
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Mid-Term | Finals |
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Data Exploration
Throughout our Data Exploration phase, our team look at the demands (defined as ticketing sales across throughout the years, and the graph below does not reveal any interesting findings.
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Thus, we drilled down further to look at the different types of events. The graph shows that the demands for the different types of events peak differently. For example, for the regular events, which are held on a annual basis, peak during April of every year and this is caused by the demands of Event A. Similarly, we also found out that the demand for seasonal events peaked during June period for year 2010, 2012, 2014 and 2015. And this is due to the international event A and B.
Control Chart Analysis
While the