University | Ngee Ann Polytechnic |
Subject | Data Visualization |
1. Introduction
The goal of this assignment is to design and implement a dashboard and/or interactive visualizations that allow you to explore a given data set. You will be involved in cleaning and preparing the data where necessary, exploring the data, designing your visualisations, and implementing your dashboard using Tableau Desktop
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2. Objective
a) Understand, prepare and clean a curated dataset.
b) Identify meaningful exploratory questions from the dataset.
c) Design a multitude of visualisations to effectively derive answers to the declarative and
exploratory questions identified earlier.
d) Perform data storytelling using a dashboard and/or interactive visualizations for a target audience.
3. About the Dataset
Have you ever wondered when the best time of the year to book a hotel room is? Or what is the optimal length of a hotel stay in order to get the best daily rate? The hotel_bookings.csv dataset can help you to explore and perhaps find some answers to these questions. This data set contains hotel reservations information for a city hotel and a resort hotel, and includes information such as when the booking was made, length of stay, the number of adults, children, and/or babies, and the number of available parking spaces, among other things.The metadata of the hotel_bookings.csv dataset is provided in the accompanying metadata.txt file
4. Assignment Report Recommended
You may use the following pointers to structure your report. You should include visuals, diagrams and/or tables where appropriate to enhance your report’s readability.
1. Project Objectives
- Provide a list of primary exploratory questions you are trying to answer with your visualization (s).
- Provide the background on why your proposed target audience or others should care.
- The questions may evolve over the course of the project. Update this part by adding or removing exploratory questions you consider necessary in the course of your analysis.
2. Data Preparation
- Describe the state of the data (e.g. is it clean, is it complete). Do you expect to do substantial data cleanup?
- How will you prepare your data so that it is suitable for exploration and analysis? Describe the steps involved in detail.
- Did you perform further research to better understand the context of the data and metadata? Elaborate on the process and describe any further findings.
3. Exploratory Data Analysis and Visualisation
- Perform univariate and multivariate analysis on your dataset.
- Using descriptive analytics techniques (i.e. statistical analysis, correlation analysis and basic visualizations, etc), document your findings.
- identify the core findings and insights that help to answer the exploratory questions identified earlier. Create visualizations accordingly.
- What are the different visualizations you have considered? Justify the design
decisions you made using visualization and design principles. - Describe each visualization by highlighting the exploratory questions it answers.
- Where necessary, explain how to interpret the visualizations in order to answer the exploratory questions (e.g. interactive elements)
4. Dashboard
- From your library of visualizations created earlier, identify suitable ones to create a dashboard. Recall that dashboards should incorporate only visualizations related to one main topic.
- Depending on your exploratory questions, create multiple dashboards to aid you in performing your video recorded data storytelling presentation subsequently.
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