Difference between revisions of "ANLY482 AY2016-17 T2 Group09"

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Li Ka Shing Library (LKSLIB) is the first library of Singapore Management University, officially opened on 24 February 2006. The Library is named after Hong Kong businessman Dr. Li Ka-shing, and the Li Ka Shing Foundation donated and endowment to the library for collections. The main objective of the library is to offer an interactive study and research space for SMU community.
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The LKSLIB includes four floors that comprise about 8,800 square meters with 1,800 seats. Inside the library, there are a variety of spaces including open spaces for individual and collaborative use, learning commons which opens 24/7, quiet areas that for individuals to focus on their work, project rooms with LCD panels, investment studio, postgraduate lounges etc. As a modern library, it is also well equipped with high-speed wireless network, color printers, scanners, public computers with professional financial software available, up-to-date newspapers and magazines, collections of lifestyle videos and games, and this is also the reason why LKSLIB is so attractive for SMU community.
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In our project, our focus is on analyzing the library entry information from the card reader logs. The card readers are located at the entrance of the library gantries, both located at the main entrance of LKSLIB and at the linkbridge side entrance. Students need to tap their card whenever they enter the library. This provides us with the entry information, which includes timestamp and basic information about the student. To better understand the library usage, the library management team is interested to know whether we could find any usage pattern for library of a particular user group (e.g. Dean’s List student), and see if any other business insights could be drawn from the data. We will also work on statistical analysis in order to confirm on our insights.
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We use R to build a web application to clean the raw data and use Tableau to do data visualization to compare the usage level for dean’s list and non-dean’s list students, Singaporean students  and international students. Then, we will do one-way ANOVA confirmative analysis using SAS JMP.
  
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| style="vertical-align:top;width:20%;" | <div style="background: #000033; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Book Antiqua"><font color= #ffffff>Project Information</font></div><br/>
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| style="vertical-align:top;width:20%;" | <div style="background: #000033; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Book Antiqua"><font color= #ffffff>The Team</font></div><br/>
 
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<div style="margin:20px; padding: 10px; background: #ffffff; font-family: Trebuchet MS, sans-serif; font-size: 95%;-webkit-border-radius: 15px;-webkit-box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96); -moz-box-shadow:    7px 4px 14px rgba(176, 155, 121, 0.96);box-shadow: 7px 4px 14px rgba(176, 155, 121, 0.96);">
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There are various ways to measure occupancy of the library but the richest source is from the card reader that registered when students tap in and tap out. This provides us with the library entry logs, which include timestamp and basic school information about the student. To better understand the library usage, the management team is interested to know whether there is any cluster for users entering the library that need to be accounted for, and whether the demand can be predicted. Analysis at individual level on entry is an area that has not been worked on much, so there is more scope to explore. New topics such as hogging rate analysis may also be considered.
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[[File:Team09 About.jpg|500px|center]]<br/>
  
 
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|style="vertical-align:top;width:20%;" | <div style="background: #000033; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Book Antiqua"><font color= #ffffff>Project Milestones</font></div><br/>
 
|style="vertical-align:top;width:20%;" | <div style="background: #000033; padding: 13px; font-weight: bold; text-align:center; line-height: 0.3em; text-indent: 20px;font-size:26px; font-family:Book Antiqua"><font color= #ffffff>Project Milestones</font></div><br/>
 
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<s>Interim Report: 26 February 2017</s><br/>
 
<s>Interim Report: 26 February 2017</s><br/>
 
<s>Abstract Submission: 7 April 2017</s><br/>  
 
<s>Abstract Submission: 7 April 2017</s><br/>  
Full Paper Submission: 16 April 2017<br/>  
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<s>Full Paper Submission: 20 April 2017</s><br/>  
Conference Day: 22-23 April 2017<br/>  
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<s>Conference Day: 22-23 April 2017</s><br/>  
  
 
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Revision as of 23:16, 23 April 2017


  Back To Main Home   Project Overview   Project Findings   Project Management   Documentation

Project Information

Li Ka Shing Library (LKSLIB) is the first library of Singapore Management University, officially opened on 24 February 2006. The Library is named after Hong Kong businessman Dr. Li Ka-shing, and the Li Ka Shing Foundation donated and endowment to the library for collections. The main objective of the library is to offer an interactive study and research space for SMU community.

The LKSLIB includes four floors that comprise about 8,800 square meters with 1,800 seats. Inside the library, there are a variety of spaces including open spaces for individual and collaborative use, learning commons which opens 24/7, quiet areas that for individuals to focus on their work, project rooms with LCD panels, investment studio, postgraduate lounges etc. As a modern library, it is also well equipped with high-speed wireless network, color printers, scanners, public computers with professional financial software available, up-to-date newspapers and magazines, collections of lifestyle videos and games, and this is also the reason why LKSLIB is so attractive for SMU community.

In our project, our focus is on analyzing the library entry information from the card reader logs. The card readers are located at the entrance of the library gantries, both located at the main entrance of LKSLIB and at the linkbridge side entrance. Students need to tap their card whenever they enter the library. This provides us with the entry information, which includes timestamp and basic information about the student. To better understand the library usage, the library management team is interested to know whether we could find any usage pattern for library of a particular user group (e.g. Dean’s List student), and see if any other business insights could be drawn from the data. We will also work on statistical analysis in order to confirm on our insights.

We use R to build a web application to clean the raw data and use Tableau to do data visualization to compare the usage level for dean’s list and non-dean’s list students, Singaporean students and international students. Then, we will do one-way ANOVA confirmative analysis using SAS JMP.

The Team


Team09 About.jpg

Project Milestones

Proposal Submission: 1 January 2017
Interim Presentation: 22 Fedbruary 2017
Interim Report: 26 February 2017
Abstract Submission: 7 April 2017
Full Paper Submission: 20 April 2017
Conference Day: 22-23 April 2017