Difference between revisions of "1718t1is428T4"
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| − | ==<div style="background-color: | + | ===<div style="background-color:maroon"><font color="white"> Problem and Motivation </font></div>=== |
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. | 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. | ||
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| − | ==<div style="background-color: | + | ===<div style="background-color:maroon"><font color="white"> Background Survey and Related Works </font></div>=== |
| − | ==<div style="background-color: | + | ===<div style="background-color:maroon"><font color="white"> Technical Challenges </font></div>=== |
| − | + | {| class="wikitable" | |
| − | + | |- | |
| − | + | |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 | ||
| + | |} | ||
| − | ==<div style="background-color: | + | |
| + | ===<div style="background-color:maroon"><font color="white">Project Timeline</font></div>=== | ||
Revision as of 06:52, 16 October 2017
Contents
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.
Background Survey and Related Works
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 |
