This project is currently on hiatus. The study only features January - April, but data has been collected for the rest of the months and is currently being analyzed.
To kickstart my foray into this project, I took baby steps and documented my newfound appreciaton for caffeine. It's not much to be honest—I simply picked up the habit of a daily coffee or milk tea during my term in Singapore in late 2017. But I soon came to enjoy the taste and wanted to see how regularly I drink coffees/teas/hot chocolates.
Prior to Singapore, I didn't drink any coffee and I only relied on an occasional hot chocolate to satisfy sweet tooth cravings.
In February, I tracked my eating habits. The visualization below illustrates the food groups (plus caffeine) that I consumed. I annotated the foods I ate for the month in an Excel sheet, and cleaned the data accordingly to derive sets of analyses from it.
February was an interesting month to track because I went to Vancouver from February 16 - 21, which was when a spike in amount of types of food occurred. As a student, my diet is very simple, but I had a sudden influx of eating out and trying new types of food.
I chose not to separate my types of protein (animal/plant-based) for my analysis because I don't tend to eat much meat, which is a mild point of concern to my parents. Thus, I wanted to see my normal protein distribution, regardless of the source.
For March, I tracked the outfits I wore. I took an "Outfit of the Day" photo every day, and then quantified and analyzed them according to article of clothing, brands worn, and tried to extrapolate trends from my daily aesthetic.
April was a month of interactions. I looked towards the people I spoke to; my cue for this month was based on verbal communication after speaking to a friend, and him suggesting that I focus on something that "speaks about how I interact with others". It was a refreshing twist to record these because my first three months were solely about my own habits.
I took note of the types of people I interacted with, such as the more obvious family & friends categories, but also the strangers I talked to. I could've kept a small conversation going or simply said a thank you to a service industry person, but I included all the strangers I spoke a word to. I was actually the most excited about this part of my analysis.
On average, I spoke to 2 family members, 2 close friends, 2 friends, 1 acquaintance, and 7 strangers.
Collection and/or analysis in progress.