AY1718 T2 Group21 Data Provided

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Tools Used & Expected Usage
# Tool Used Tool Utility Expected Usage
1 R Language and environment commonly used for statistical use with computing and graphics. It is often utilized to visualise graphs and table outputs. Can be used to effectively clean column-wise data and find correlations

Logistic regressions can be used to clean the data and analyse the different independent variables of each identified visitor and customer to the website and regress it against each individual binary occurrence of customers buying or not buying.

2 SAS JMP Pro Analytical software that can handle large volumes of data efficiently. JMP Pro can also be used to visualise numbers in multiple formats, and will enable us to easily isolate specific data sets. The program is also equipped with text-explorer analytics which will be useful to identify trends and the major routes that customers take when visiting the website. K-Means Clustering and similar analyses could help with the profiling of customers based on buying, visiting patterns and their demographic.
3 Tableau Renowned for their beautiful visual formatting and colours will be a secondary tool to our project Will use to create presentable visualisations for the client, and for easily consumable results of the analyses and the data collected and cleaned.