💡 Inspiration

The project was inspired by a simple but powerful observation: men across Europe are dying from alcohol-related causes at 4.4× the rate of women. Could this be more than substance abuse? Could it reflect deeper mental health struggles – hidden behind social norms and stigma?

That question led to a full analytical journey: collecting public health data, uncovering hidden patterns, and building a gender-focused narrative that connects alcohol mortality to mental well-being.


🧠 What it does

Behind the Drink is a visual, data-driven storytelling site that:

  • Analyzes alcohol-related deaths, suicide rates, and accident deaths across Europe (2011–2022)
  • Examines gender differences and correlations between metrics
  • Provides an interactive way to explore trends by country, sex, and year
  • Presents a clear narrative showing how alcohol misuse mirrors underlying mental health challenges

🛠️ How it was built

  • Data Sourcing: Collected from data.europa.eu — four Eurostat datasets
  • Data Cleaning + Analysis: Performed using SQL in Google BigQuery
  • Correlation Analysis: Used Pearson correlation to analyze alcohol-suicide relationships by gender (r = 0.59)
  • Design + Storytelling: Built in Bolt.new, using responsive storytelling blocks, interactive components, and embedded visuals

🧗 Challenges along the way

  • Messy Time Ranges: Datasets didn’t always cover the same years or countries — we had to carefully align everything
  • Incomplete Coverage: Some countries were missing data or had outdated records
  • Correlation ≠ Causation: We had to tread carefully to avoid making causal claims
  • Finding the Right Tone: Striking a balance between emotional impact and statistical honesty was harder than expected

🏆 Key accomplishments:

  • Built a fully responsive, interactive data site – mostly with no-code tools
  • Created a clean, professional narrative out of complex, comprehensive data
  • Discovered a clear, significant statistical signal (r = 0.59) linking alcohol deaths and suicide, especially in men
  • Launched behind-the-drink.xyz as a public data story
  • Deployed a live public API at api.behind-the-drink.xyz for programmatic data access

📚 Lessons learned

  • Public health data can be tricky to work with, but of high quality and very powerful
  • Gender-based analysis adds critical nuance to mental health research
  • Storytelling is as important as stats – especially in projects that deal with life-and-death topics
  • Tools like Bolt.new enable solo creators to tell complex stories quickly and beautifully

🚀 What's next for Behind the Drink

  • Publish full dataset + methodology to Kaggle and GitHub
  • Expand the public API with additional filtering and aggregation endpoints
  • Build a timeline of policy interventions across countries
  • Add filters for age groups, accident deaths, or economic indicators
  • Collect qualitative stories from people affected by substance and mental health issues
  • Develop a short video explainer or workshop to bring the topic into classrooms or public health orgs

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