IS428 2016-17 Term1 Assign1 Chua Feng Ru
Contents
- 1 Abstract
- 2 Problem and Motivation: A description of the problem you have addressed, explaining the why is it relevant, what are the main variables involved, and what development policy questions you intend to address.
- 3 Approaches: Describe the approaches used for examining and analyzing the data
- 4 Tools Utilized
- 5 Results: Describe how the results of your work may contribute to improve the use of data for development.
Abstract
Housing and residential properties have always been a hot topic in Singapore. Even with the cooling measures in place since 2013, the property market has yet to "cool down", and this means that there are opportunities for insights within the data. This project aims to allow students to go through the phases of 1) Data Compilation, 2) Data Cleaning & Transformation and 3) Visual Analysis of Data. The trends and analysis will be presented in an infographical form, where the static visualizations used in the infographics will be created by Tableau software. Lastly, policy recommendations will be recommended based on the trends or analysis.
Problem and Motivation: A description of the problem you have addressed, explaining the why is it relevant, what are the main variables involved, and what development policy questions you intend to address.
Approaches: Describe the approaches used for examining and analyzing the data
Tools Utilized
This section describes the different technologies used throughout the project:
1. SAS Enterprise Guide (EG)
The SAS EG software is used to compile the transactional data, which comes in a few parts, to a single Comma-Seperated-Value (CSV) file. In addition, SAS EG also enables me to transform and consolidate the absolute values of the housing units. Lastly, it is also being used to perform preliminary data explorations, such as analysing the values and distributions of the data, to ensure that the data is valid.
2. Tableau 10.0 Software
Tableau is generally being used to create different visuals to allow visual analysis. It enables me to do a more in-depth analysis, as compared to SAS EG. The visuals, which contain certain findings, are then used in the infographics.
3. Pixelmator (Mac OS X)
Pixelmator allows me to handle images from Tableau and create high resolution images, which is required in creating an infographic.
