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.

Data

Dataset original1.png
Dataset original2.png

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 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 filled 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

Dashboard

Analysis/Insight

Conclusion