As fast food is a popular option for meals in our society today, I decide to focus on the nutritional content of burgers in Mcdonalds. During the initial stage, I came up with random questions to explore the data:
1) Which burger has the highest energy content?
2) Does the amount of fat correlate with the energy content?
3) Which burger would I recommend for someone at risk of heart disease?
4)Are the burgers in the breakfast menu healthier than burgers in the lunch menu?
With these questions in mind, I set the data parameters as follow:
First Nutrient: Energy (kcal)
Second Nutrient: Cholesterol (mg)
Third Nutrient: Total lipid (fats) (g)
In my draft, I only managed to explore 2 data visualization tools, which are Tableau Public and Google Fusion respectively. However, I came up with several interesting observations:
- High fat content usually correlate with high energy content
- McGrill is a seemingly healthier option than other burgers but it has higher cholesterol content than most burgers
- Burgers in breakfast menu are not healthier than burgers in lunch menu
Phase 2 - Critique
Due to time constraint, I did not receive much feedback. However, the tutor mentioned that my idea of comparing between breakfast and lunch menu is interesting. Hence, I decide to focus on this comparison for my final product.
Phase 3 - Final Product
With a more focused scope, I decided on a general question that I came up with during the initial draft stage.
Are burgers in breakfast menu healthier than burgers in lunch/dinner menu?
As the question is focused on comparing the health level of burgers between the 2 menus, I change my data parameters as I felt that sodium, cholesterol and fat content would be more appropriate.
First Nutrient: Sodium (mg)
Second Nutrient: Cholesterol (mg)
Third Nutrient: Total lipid (fats) (g)
With which, I came up with sub-questions to further explore the data:
· Are the sodium content of
burgers in breakast menu lower than that of lunch/dinner menu?
·
Are the fats content of
burgers in breakfast menu lower than that of lunch/dinner menu?
·
Are the cholesterol
content of burgers in breakfast menu lower than that of lunch/dinner menu?
·
Is there a relationship
between sodium, fats and cholesterol?
This time round, I further explored Tableau Public and Google Fusion, as well as picked up Jolicharts. I also explored beyond bar charts and look into other forms of data visualizations such as scatterplot and boxplot. This enabled me to discover much more interesting observations than during phase 1.
In all, this assignment forces me to explore the visualization tools in detail, which definitely helps me to gain more knowledge and skills in data exploration as well as creating my own data visualizations. I also learn from the assignment that Google Fusion Tables and Jolicharts are both simple visualization tools that enable users to grasp easily. They would provide a good introduction to beginners at data visualizations but unfortunately, they may not be able to make advanced analysis. Tableau Public would actually be the best and most useful tool to present multivariate data as it has many functions that enable analyzing and customizing according to one’s preferences. From which, I could make comparisons between the 2 McDonalds menus without having to edit the data that I imported into the software.
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