IS428 AY2019-20T2 Assign NICHOLAS TAN JUN HAO

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Overview

Background

Every two years, SMU Libraries conduct a comprehensive survey in which faculty, students and staff have the opportunity to rate various aspects of SMU library's services. The survey provides SMU libraries with input to help enhance existing services and to anticipate emerging needs of SMU faculty, students and staff. The latest survey is currently on going and will be ended by 17th February 2020.

The 2018 Survey Results can be found here and the full report is available by following this link. The past reports are mainly made-up of pages of tables, which are very difficult to comprehend. In view of this, your task is to apply appropriate data visualisation to transform these tables into visual representation that allow SMU libraries to gain useful insights.

Task

In this assignment, you are required to use visual analytics approach to reveal the level of services provided by SMU libraries as perceived by:

  • the undergraduate students,
  • the postgraduate students,
  • the faculty,
  • the staff.

Limit your findings to not more than 10 images and 1000 words per group.

Dataset

Dataset used: 2018 Library Survey Dataset

Dataset original1.png
Field Description

Campus

Which library do they frequent the most? (Li Ka Shing Library / Kwa Geok Choo Law Library)

Position

What is the participant type? (Undergraduate/Postgraduate/etc.)

Study Area

Which faculty do they belong to? (Business/Information Systems/etc.)

ID

Yes/No question as to whether the participant is an international(non-exchange) student

Remaining of the dataset

  • Rating questions and free text questions.

Free-text answers / 1-7 scale / 1-5 scale

Data Configuration

Screenshots Steps
Cleaning1
  • Create 3 additional columns to replace the following columns (Campus, Position, StudyArea).
  • Reason being that these numerical values are not useful for identification purpose when it comes to data visualisation in Tableau. They are categorical values which can be easily classified with the Legend Sheet.
Data cleaning2.png
Data cleaning3.png
  • Create a new sheet under the excel file called “Participant Details” for easier reference when we do VLOOKUP to search for the information.
  • Copy values from “Legend” Sheet from D1:R3 as these are the important identifiers for the type of participant for each response. Paste the copied values in the new sheet “Participant Details” using the special paste method, “Transpose” for the rows and columns to swap places.
Data cleaning4.png
  • Under column, “Campus Name”, input the following method (=VLOOKUP(B2,'Participant Details'!$A$1:$D$15,2)) for the cell value to refer to “Participant Details” Sheet.
  • Under column, “Position Name”, input the following method (=VLOOKUP(D2,'Participant Details'!$A$1:$D$15,4)) for the cell value to refer to “Participant Details” Sheet.
  • Under column, “Course”, input the following method (=VLOOKUP(F2,'Participant Details'!$A$1:$D$15,3)) for the cell value to refer to “Participant Details” Sheet.
Data cleaning6.png
  • Create a new sheet under the excel file called “Question Code” in order to tag the Question Code to the Question itself when we pivot the columns in Tableau.
Data cleaning10.png
  • Pivot all the questions.
  • Rename the columns to QuestionCode for the questions and Score for their answers.
Data cleaning11.png
  • Link both the sheets together for the questions to appear as the full questions and not the question code.

Data Cleaning

Due to the nature of the project, we do not require the responses from exchange students. Therefore, we will be removing their entries from the dataset.

Assumptions
- Everyone read the questions properly and fill in the “Position” question correctly.

Considering that everyone filled in their positions correctly, I will then filter the column, “Position Name” to only display the survey participants with the value of “Exchange student”.

Data cleaning7.png
  • Press Ctrl+Shift+L on column E to apply the filter.
  • Select only the option “Exchange student” to filter the participants.
  • Delete the respective rows.
Data cleaning1.png
  • In the process of data cleaning, I found that there is a participant, ResponseID 833 which does not belong to any school/faculty and did not indicate a position name nor course.
  • I have decided to take out “ResponseID” 833 because, without proper identification, the survey results would be considered unreliable.

Interactive Dashboard

TableauPublic Link: https://public.tableau.com/profile/nicholas.tan.jun.hao#!/vizhome/Assignment_15842674927400/Story1?publish=yes

Dashboard1nic.png
  • Bar graph to understand and breakdown the demographics (Type of participant) among the survey population.
  • When hovered over, you will see the respective percentage of the type of participant (Undergraduates, Staff, etc.)
Dashboard2nic.png

There are two graphs displayed in this dashboard, which consist of the following:

  • Bar graph
    • To understand and breakdown the demographics (Faculty) among the survey population.


  • Butterfly Chart
    • To separate the participants by their more preferred library.
Dashboard3nic.png
  • The likert scale chart shows us the Importance Ranking of the assessment items.
Dashboard4nic.png
  • The likert scale chart shows us the Performance Ranking of the assessment items
Dashboard5nic.png
  • Co-occurrence Matrix to compare two different scores which are NPS1(How likely are you to recommend the library service to other students?) and P27(How satisfied are they with the library?) to see if there is a correlation between both questions.
Comments1nic.png
  • Comments filter to see all the specific comments made by each type of participants. (Undergraduates, Postgraduates, Staff, Faculty)

Analysis/Insight

Undergraduate

Likert Chart
Undergrad1nic.png

Top 3 best performing Important services are as follows:

  • I can get wireless access in the Library when I need to
  • I can find a quiet place in the Library to study when I need to
  • Printing, scanning and photocopying facilities in the Library meet my needs


Justification

  • The school wifi, SMU-WLAN, is accessible throughout the campus which makes sense for the students to naturally have the least complaints about the WIFI issue.
  • The nature of the study environment in the library will definitely be quiet which thus explains why the participants will find a quiet place in the library.
  • Printing, scanning and photocopying facilities are all available in the library at multiple levels.


Undergrad2nic.png

Top 3 Performance services are as follows:

  • I can get wireless access in the Library when I need to
  • I can get help from library staff when I need it
  • Opening hours meet my needs


Justification

  • The library is practically a 24/7 building with the library commons serving the 24/7 no closure issue.


Butterfly Chart
Undergrad3nic.png

Findings:

  • From the chart, we can tell that the main bulk of the student population who are Undergraduates frequents Li Ka Shing Library more often then Kwa Geok Choo Law Library.



Postgraduate

Likert Chart
Postgrad1nic.png

Top 3 best performing Important services are as follows:

  • I can get wireless access in the Library when I need to
  • I can find a quiet place in the Library to study when I need to
  • Printing, scanning and photocopying facilities in the Library meet my needs


Postgrad2nic.png

Top 3 Performance services are as follows:

  • I can get wireless access in the Library when I need to
  • I can get help from library staff when I need it
  • Opening hours meet my needs


Interestingly, we can see that the services are the same as the Undergraduates category. From this, we can infer that the majority of the students, be it Undergraduates or Postgraduates, the supplies needed are the same.
One main reason could be that they are still mainly in school most of the time and would require the services that they are the most comfortable with when they were studying previously.

Butterfly Chart
Postgrad3nic.png

Findings:

  • From the chart, we can tell that the main bulk of the student population who are Postgraduates frequents Li Ka Shing Library more often then Kwa Geok Choo Law Library.



Faculty

Likert Chart
Faculty1nic.png

Top 3 best performing Important services are as follows:

  • Information resources located in the Library (e.g. books, journals, DVDs) meet my learning and research needs
  • Online resources (e.g. online articles, databases, ebooks) are useful for my studies and help me with my learning and research needs
  • The Library search engine enables me find relevant library resources quickly


Faculty2nic.png

Top 3 Performance services are as follows:

  • Online enquiry services (e.g. Email, Library Chat) meet my needs
  • When I am away from campus I can access the Library resources and services I need
  • Self Service (e.g. self-check loans, requests, renewals, holds) meets my needs


From the top-performing measures, we can already tell that both the Undergraduates/Postgraduates have very different needs for going to the library. The main purpose that Faculty members go to the library is for the vast amount of resources that our libraries possess. These resources are also available online which explains why the online enquiry and search engines are rated highly.


Butterfly Chart
Faculty3nic.png

Findings:

  • From the chart, we can tell that the main bulk of the student population who are Postgraduates frequents Li Ka Shing Library more often then Kwa Geok Choo Law Library.



Staff

Likert Chart
Staff1nic.png

Top 3 best performing Important services are as follows:

  • I can get wireless access in the Library when I need to
  • I can get help from library staff when I need it
  • Online resources (e.g. online articles, databases, ebooks) are useful for my studies and help me with my learning and research needs


Justification

  • The school wifi, SMU-WLAN, is accessible throughout the campus which makes sense for the students to naturally have the least complaints about the WIFI issue.



Staff2nic.png

Top 3 Performance services are as follows:

  • I can get wireless access in the Library when I need to
  • I can get help from library staff when I need it
  • Library staff provide accurate answers to my enquiries



Butterfly Chart
Staff3nic.png

Findings:

  • From the chart, we can tell that the main bulk of the student population who are Postgraduates frequents Li Ka Shing Library more often then Kwa Geok Choo Law Library.

Reference

Likert Scale - https://www.youtube.com/watch?v=JodWmiIxl2c