Coffee Spending Across Demographics and Lifestyles
Christina Feng, Lily Huang, Ampi Averbuj, Wanxuan Li
☕ Introduction
- Survey conducted by world champion barista James Hoffmann in 2023 on his YouTube channel.
- Contains data about coffee spending habits, coffee preferences, and demographic factors of American respondents.
Why analyze coffee spending and preference patterns?
- Coffee is a daily ritual for millions worldwide, yet we don’t know how others experience it.
- Curiosity drove us to explore how coffee-related habits vary across demographics and lifestyles.
☕ Q1: How Does Coffee Spending Vary Based On Gender, Ethnicity, and Race?
Why This Question Matters:
- There are common stereotypes about certain genders and ethnicities consuming more coffee than others. We wanted to explore whether this dataset supports or challenges these assumptions.
Key Dataset Variables:
total_spend
(Monthly average coffee spending)
ethnicity_race
gender
☕ Q1: Coffee Spending by Gender, Ethnicity, and Race
- Female respondents show more variation across racial/ethnic groups compared to males
- Lack of non-binary respondents for certain ethnic/racial groups
- The plot shows diverse spending patterns across demographics, but due to the uneven sample sizes the data is not robust enough to confirm or challenge existing stereotypes.
☕ Q2: How Does Work Arrangement Influence Coffee Taste Preferences and Spending Habits?
Why This Question Matters:
- There are assumptions that remote workers spend more on coffee or prefer different styles than in-person workers. We wanted to explore how work settings impact coffee habits.
Key Dataset Variables:
wfh
(Categorizes respondents as working from home, in-person, or a mix of both (hybrid)
style
(Coffee flavor style preference)
avg_total_spend
(Total monthly coffee spending per style)
☕ Q2: Coffee Spending by Work Arrangement, Taste Preferences, and Spending Habits
- Hybrid workers spend the most on coffee on average, while in-person workers spend the least.
- The priciest coffee style varies: Floral for in-person, Bright for remote, and Juicy for hybrid workers.
- Hybrid workers show the widest spending range, while in-person workers have the most consistent spending.
☕ Thank you!
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