Difference between revisions of "AY1718 T2 Group21 Data Provided"
Jump to navigation
Jump to search
| (2 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
| − | [[File: | + | [[File:AY1718 T2 Group21 Logo.png | 280px | center | link=AY1718 T2 Group21 Project Overview]] |
| − | |||
| − | |||
<!-- Start Nav Bar --> | <!-- Start Nav Bar --> | ||
{|style="background-color:#550527;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | {|style="background-color:#550527;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | | ||
| Line 23: | Line 21: | ||
| style="font-family: Century Gothic; font-size:120%; solid #043172; border-bottom:7px solid #550527; background:#550527; text-align:center;" width="11%" | | | style="font-family: Century Gothic; font-size:120%; solid #043172; border-bottom:7px solid #550527; background:#550527; text-align:center;" width="11%" | | ||
| − | + | [[ANLY482 AY2017-18 Term 2 | <font color="#FFFFFF">BACK TO PROJECTS</font>]] | |
|} | |} | ||
<!-- End Nav Bar --> | <!-- End Nav Bar --> | ||
| Line 44: | Line 42: | ||
<br/> | <br/> | ||
| − | <div style="background: #688E26; line-height: 0.3em; font-family:Century Gothic; border-left: #FAA613 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#000000"><strong>Tools Used</strong></font></div></div> | + | <div style="background: #688E26; line-height: 0.3em; font-family:Century Gothic; border-left: #FAA613 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#000000"><strong>Tools Used & Expected Usage</strong></font></div></div> |
| − | + | ||
| − | + | {| class="wikitable" | |
| − | + | |- | |
| + | ! # !! 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. | ||
| + | |} | ||
<br> | <br> | ||
<br/> | <br/> | ||
Latest revision as of 22:58, 14 January 2018
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. |
