IS428 AY2019-20T2 Assign LIM PAO LING RACHEL

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SMU Library Services

Overview

Every 2 years, SMU libraries will conduct a comprehensive survey to provide an opportunity for faculty, students and staff to rate and comment various aspects of SMU library services. The survey aims at creating input that could possibly enhance existing services as well as to anticipate the emerging needs of SMU students, graduates, faculty and staff.
On the contrary, past library survey reports were not as comprehensive as intended, since the report consisted of numerous tables of data that could be better depicted with visualisations. The large amount of textual data collated poses as an issue when it comes to summarising data into a single visualisation, hence, appropriate categorising of charts and tables by performance metrics, importance metrics and other valuable metrics is key for an organised presentation of data. Visual Analytics is used to provide insight into the various level of services provided by SMU libraries that is perceived by 4 main groups:

1. Undergraduate Students
2. Postgraduate Students
3. Faculty Lecturers
4. School staff

Data Description

Data Attribute Data Description
Survey Statistic Questions
Campus
Which library is more frequented
StudyArea
The major area of study / research / teaching
Position
Either an undergraduate, postgraduate, faculty or school staff
ID
If the student is an international or not (applicable to non-exchange students)
HowOftenL
The frequency of visiting the library
HowOftenC
The frequency of visiting the campus
HowOftenW
The frequency of accessing library resources

(online articles, databases, ebooks)

Survey Rating Questions
NPS1
Likelihood of recommending library services to other students
I01 – I26
Importance factors that are rated by survey respondents
P01 – P27
Performance factors that are rated by the survey respondents
NA01 – NA26
Survey questions that are not applicable to the survey respondents
Comment1
Free text for survey respondents to suggest improvements or any other comments

Data Preparation

Data Description

Screen Shot Data Cleaning Description
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Visualizations

Undergraduates

 

Postgraduates

 

Faculty

 

Staff