obesity_impact_analysis
Data analysis on how obesity impacts stroke, cardiovascular disease, and other health outcomes
Science Score: 44.0%
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (6.6%) to scientific vocabulary
Repository
Data analysis on how obesity impacts stroke, cardiovascular disease, and other health outcomes
Basic Info
- Host: GitHub
- Owner: brunoramos321
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 2.86 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Obesity & Disease Impact Analysis
This project explores how obesity (specifically high BMI) contributes to mortality across major diseases — like stroke, ischemic heart disease, diabetes, chronic respiratory disease, and more.
The idea was simple: understand the real health cost of obesity, not just as a percentage, but in actual human lives.
📊 Interactive Dashboard
Why this project?
I’m currently working through a data analyst bootcamp, and instead of doing something “safe” or easy, I wanted to work with real-world health data that actually means something. I wanted to go beyond dashboards and charts and ask bigger questions — like how many lives are impacted by obesity, and how it has evolved over the years.
What you'll find
- Cleaned datasets comparing total deaths vs deaths from high BMI across:
- Stroke
- Ischemic Heart Disease
- Chronic Respiratory Disease
- Diabetes
- Alzheimer's
- Breakdown by:
- Year
- Sex
- Age groups (Under 40 / 40+)
- A merged dataset showing:
- Total deaths
- Deaths due to obesity
- Percent contribution of obesity
Tools used
- Python (Pandas, Jupyter)
- Data: IHME Global Burden of Disease
- Tableau for visualizations
-Git / GitHub for version control and transparency
Quick preview
“In 2019, over 7% of all global stroke deaths in men over 40 were linked to high BMI. That’s not just a stat. That’s hundreds of thousands of lives.”
Let's connect
If you’re curious, want to collaborate, or just feel like nerding out about data: brunoramos321
Owner
- Name: Bruno Jorge Alves Ramos
- Login: brunoramos321
- Kind: user
- Repositories: 1
- Profile: https://github.com/brunoramos321
Citation (citation.txt)
GBD Results tool: Use the following to cite data included in this download: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2021 (GBD 2021) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2022. Available from https://vizhub.healthdata.org/gbd-results/.
GitHub Events
Total
- Push event: 27
- Create event: 2
Last Year
- Push event: 27
- Create event: 2