1718t1is428T4

Problem and Motivation

The increasing number of food delivery companies, such as FoodPanda, Deliveroo and UberEATS, has provided residents in Singapore with an easy alternative to have their food delivered to their doorstep. The convenience reaped from this service has also gained popularity among the working population and students due to the reduction in time in getting the meal. This is a worrying trend just like the increasing preference for fast food.

As how consuming more fast food reduced the time taken to wait for the food, the benefit of food delivery has adversely promoted laziness in the users, whereby the ease of getting food has eliminated the travelling time and effort for the users. This means that one can spend more time enjoying his/her meal and also get more whenever and wherever they want.

Studies are showing that Singapore will reach a concerning 15% for obesity rate in seven years. Obesity has significant implications such as high blood pressure, type 2 diabetes, heart diseases, strokes, etc. Coming from a generation which focuses on convenience and quickness, we were curious to find out the factors that drive the rate of obesity so that we can propose a solution to combat obesity on a national level.

Technical Challenges

Least familiarity with D3.js, javascript and jQuery	Attend workshop conducted during recess week Self-learning through online platform (e.g. codeAcademy) Peer-learning
Data Preparation	Decide as a team on what data to keep and eliminate
Availability of data sets	Research data through other platforms such as SMU Libraries and companies’ official webpage