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

From Analytics Practicum
Jump to navigation Jump to search
 
Line 30: Line 30:
 
<font size =3 face=Georgia >
 
<font size =3 face=Georgia >
  
−
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 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 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 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.
 
</font>
 
</font>
 
</div>
 
</div>

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

Retrieved from ‘https://wiki.smu.edu.sg/ANLY482/index.php?title=ANLY482_AY2016-17_T2_Group09&oldid=16061’