Difference between revisions of "ANLY482 AY2016-17 T1 Group2: Project Findings"
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| − | Throughout our Data Exploration phase, our team | + | Throughout our Data Exploration phase, our team analyzed the variations in demands, which is defined as number of tickets sold, and this section will bring you through the interesting findings in relation to our project. |
| − | + | *Overall Demand Analysis | |
| + | Initially, our team plotted the demand of all the events, and even though we realized that there are variations, however these variations are not really interesting. | ||
| + | (Picture HERE) | ||
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. | 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. | ||
| − | + | (Picture HERE) | |
| − | + | *Control Chart Analysis | |
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| − | |||
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Revision as of 06:14, 30 November 2016
| Mid-Term | Finals |
|---|
Throughout our Data Exploration phase, our team analyzed the variations in demands, which is defined as number of tickets sold, and this section will bring you through the interesting findings in relation to our project.
- Overall Demand Analysis
Initially, our team plotted the demand of all the events, and even though we realized that there are variations, however these variations are not really interesting.
(Picture HERE)
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.
(Picture HERE)
- Control Chart Analysis
