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

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| style="padding:0.4em; font-size:100%; background-color:#000066;  font-family:Book Antiqua;  text-align:center; color:#E6E87D" width="18%" |[[ANLY482_AY2016-17_T2_Group09: Project Overview |<font color="#ffffff" size=3><b>Project Overview</b></font>]]
  
 
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| style="padding:0.4em; font-size:100%; background-color:#000066;  font-family:Book Antiqua;  text-align:center; color:#E6E87D" width="18%" |[[ANLY482_AY2016-17_T2_Group09: Project Findings |<font color="#ffffff" size=3><b>Project Findings</b></font>]]
  
 
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==<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>==
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The Li Ka Shing Library, Singapore Management University’s library centre, was officially opened on 24 February 2006. The library was established and named after Hong Kong businessman Dr. Li Ka-shing, Chairman of Cheung Kong (Holdings) Limited and Hutchison Whampoa Limited. The Li Ka Shing Foundation also donated and endowed the library for collections and to Singapore Management University (SMU) for scholarship. The main purpose of the Li Ka Shing Library is to provide academic and professional knowledge resources and services to support the research and learning needs of the SMU community.  
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The purpose of this study is to provide a full understanding of usage patterns for SMU Li Ka Shing (LKS) Library. By analyzing individual’s preferred time and visiting frequency, this study seeks to draw relationship between students’ demographic like school, degree and their visiting behaviour.
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The dataset consists of 481,648 entries generated by 8241 unique users. This study uses Tableau to get exploratory insights and JMP to test for statistical validity. R is used to automate data preparation process.
  
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Today, the Li Ka Shing Library offers facilitation of knowledge creation via its electronic search platform and a wide array of research resources on and off campus. With over 360 000 printed and electronic books, over 80 000 printed and electronic journals, more than 160 electronic databases, over 16 000 SMU research publications in its Institutional Repository, and Oral History Collection, the Li Ka shing Library is a platform for the SMU community to enhance learning, both individually and collaboratively.  
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The one-way analysis of variance (ANOVA) tests the hypothesis of equal means of a number of data.
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While this is not common, there are a number of advantages of such an approach, including greater statistical power due to increased precision, a simpler and more informative interpretation of the results. The objective of our project is to apply statistical analysis to prove the insights drawn by the data visualization.
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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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Minister Mentor Lee Kuan Yew has supported the Li Ka Shing Library to be seen as “the intellectual hub and a centre for research for faculty; as a place for students to come and collaborate.” In recognition of its effort towards improving effectiveness, productivity, and in building a culture of continuous improvement, the Li Ka Shing Library won the Outstanding Department Award at the Business Excellence Awards event hosted by President Prof. Arnoud De Meyer.
 
  
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In essence, the Li Ka Shing Library is affectionately known to us students as the hub of the city campus where we spend most of our days revising and using both online and hard-copy Library resources.  
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<div style="margin:20px; padding: 10px; background: #ffffff; text-align:center; 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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<s>Proposal Submission: 1 January 2017</s><br/>
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<s>Interim Presentation: 22 Fedbruary 2017</s><br/>
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<s>Interim Report: 26 February 2017</s><br/>
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<s>Abstract Submission: 7 April 2017</s><br/>
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<s>Full Paper Submission: 20 April 2017</s><br/>
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<s>Conference Day: 22-23 April 2017</s><br/>
  
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Latest revision as of 23:19, 23 April 2017


  Back To Main Home   Project Overview   Project Findings   Project Management   Documentation

Project Information

The purpose of this study is to provide a full understanding of usage patterns for SMU Li Ka Shing (LKS) Library. By analyzing individual’s preferred time and visiting frequency, this study seeks to draw relationship between students’ demographic like school, degree and their visiting behaviour. The dataset consists of 481,648 entries generated by 8241 unique users. This study uses Tableau to get exploratory insights and JMP to test for statistical validity. R is used to automate data preparation process.

The one-way analysis of variance (ANOVA) tests the hypothesis of equal means of a number of data. While this is not common, there are a number of advantages of such an approach, including greater statistical power due to increased precision, a simpler and more informative interpretation of the results. The objective of our project is to apply statistical analysis to prove the insights drawn by the data visualization.

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

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