BT2102 Data Management and Visualisation Assignment 2 2026 National University of Singapore

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Published: 28 Jul, 2026
Category Assignment Subject Management
University National University of Singapore Module Title BT2102 Data Management and Visualisation

DATASET PROVIDED 

You are provided with the dataset “BeijingHousePrices.xlsx” on the housing prices in Beijing. The data is taken from Lianjia.com and it spans the period from 2002 to 2018. A download of the data (available in https://www.kaggle.com/ruiqurm/lianjia) can be retrieved from the Assignment 2 folder: Canvas->Files->Assignments. All the data can be fetched from https://bj.lianjia.com/chengjiao and you may use them where appropriate.

Dataset Details

The dataset and its description is available in Appendix A.

WHAT ARE YOU REQUIRED TO DO? 

Your team is the data analytics team of a large organization with capabilities in real estate investment, development, leases, and mall management. Your management has interest in venturing into Beijing properties. They provided your team with the dataset as given here. Your team is required to analyze the dataset  and draw insights into some business questions your team believes could be of interest to the management. Prepare a presentation of the insights you have gathered from your analysis and suitable recommendations to the management.

You may approach this presentation in this manner:

1. Consider ONE level-1 business question (i.e, any level-1 question your team consider of interest) that need answering from the data analysis. (Note:  a  level-1 question is at the highest level of discussion/analysis, there can be many level-2 or level-3 questions following.)

2. Add in any further sub-level questions for producing the appropriate insights for your story.

3. Conduct appropriate data cleaning

4. Conduct exploratory and explanatory analysis featuring appropriate representation and  presentation of data.

5. Use Tableau, MS Excel, MS PowerBI, Python packages or any tool of your choice and interest to produce your data visualisations.

6. Prepare  your presentation with the data visualisations into a data story and produce a coherent presentation with recommendations for your story.

You may assume that the data is recent enough for your analysis and recommendations.  

You may seek out other relevant data and information to supplement the currently available dataset and the business question you are analyzing in your presentation.

Note that data insights lead to the production of story, but they are not stories themselves.

DELIVERABLES

1. A PowerPoint (or similar) storytelling presentation.  

  1. There is no restriction on the number of slides but note that your group has only 10 minutes for the presentation.  

SUBMISSION

1. Zip the PowerPoint file and name it as “Team_XX_AS2.zip” (for example, file name for team 9 is “Team_09_AS2.zip” and for team 18 it is “Team_18_AS2.zip”). PLEASE FOLLOW THIS NAMING CONVENTION ACCORDINGLY.

2. Upload the zip file to “Assignment 2” folder in Canvas->Assignment 2 by the assignment due date.

3. EACH MEMBER OF THE TEAM MUST SUBMIT A COPY OF THE SAME TEAM ZIP FILE TO THE CANVAS ASSIGNMENT FOLDER.

4. Please be reminded that plagiarism is a serious offence. Disciplinary actions will be taken against those caught cheating.

PROJECT CONSULTATION  

Due to the large class size, Ms Liu ZhongYi (my graduate tutor) and I will answer your questions in project consultation. Contact/email Ms Liu (liu.zhongyi@u.nus.edu) or me (dannypoo@nus.edu.sg) should you require consultation.

EVALUATION

1. Each group is given 10 minutes to present and 5 minutes Questions and Answers during the allocated 15 minutes. All presentations will be conducted online via Zoom Meetings.

2. Evaluation timeslot will be scheduled nearer week 12. 

3. Your group will be evaluated on the data visualisations and storytelling presentation.  

4. Each member in the group is required to present, even for a minute. 

5. Evaluation criteria: 

a. Business Questions to Answer (4 marks):  

i. Define very clear, important, and interesting business questions that can be answered by visualizations. 

b. Knowledge/Understanding (4 marks):

i. Demonstrate full knowledge of the subject of data visualization and dataset.

ii. Understanding of the dataset. 

iii. Accurate use and perspective of the dataset. 

c. Story (6 marks):

i. A convincing, coherent story crafted from data insights.

d. Visualization (4 marks):
i. Visualization diagrams are used professionally to give informative presentations.

e. Layout (4 marks):

i. Colors: Use of different and appropriate color of each diagram.

ii. Neatness: Very neat and clearly readable diagrams.

iii. Title and accurate labels: Clear title for the charts. Labels located correctly. No spelling errors.

f. Creativity (4 marks):  

i. Synthesizing novel ideas to reach creative insights.

g. Presentation style (4 marks):  

i. Professional presentation by presenters.

ii. Appropriate dressing 

h. Questions and Answers (4 marks):  

i. Ability to respond to questions posed.

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