odedf2001/heart2
❤️ Heart Disease — Exploratory Data Analysis 👤 Author Oded Fuchs 🎯 Project Goal The goal of this project is to explore which factors are most strongly related to heart disease,using statistical analysis and data visualization. 🔍 Research Question Which factors have the strongest impact on the likelihood of heart disease? 📦 Dataset Source: Kaggle Format: CSV ~302 samples Contains various clinical features… See the full description on the dataset page: https://huggingface.co/datasets/odedf2001/heart2.
❤️ Heart Disease — Exploratory Data Analysis
👤 Author
Oded Fuchs
🎯 Project Goal
The goal of this project is to explore which factors are most strongly related to heart disease, using statistical analysis and data visualization.
🔍 Research Question
Which factors have the strongest impact on the likelihood of heart disease?
📦 Dataset
- Source: Kaggle
- Format: CSV
- ~302 samples
- Contains various clinical features
Target
target
- 1 = Heart disease
- 0 = No heart disease
🏷 Feature Overview
🔧 Data Preparation
✅ Cleaning Steps
- Checked for missing values — none found
- Checked for duplicate records
- Verified valid ranges
- Adjusted and simplified column names
📊 Exploratory Data Analysis (EDA)
Target Distribution
✅ Key Features & Insights
1) Age
Patients with heart disease are slightly younger on average.
2) Chest Pain (cp)
One of the strongest predictors: Higher chest pain type is strongly linked to heart disease.
3) Max Heart Rate (thalach)
Patients with heart disease tend to have a higher maximum heart rate.
4) ST Depression (oldpeak)
Lower oldpeak values are more common among heart-disease patients.
5) Exercise-Induced Angina (exang)
Most patients do not experience chest pain during exercise.
6) Thal
Moderate difference between groups, still noticeable.
📑 Summary Table
✅ Main Insights
📌 Strong indicators of heart disease: 1) Chest Pain (cp) 2) Max Heart Rate (thalach) 3) ST Depression (oldpeak) 4) Exercise-Induced Angina (exang)
📌 Additional observations:
- Exercise-induced angina (exang) is less common among patients with heart disease
- Cholesterol and blood pressure show weaker relationships
cashows an unexpected pattern → may indicate data/coding issues
✅ Conclusions
Several clinical measurements appear strongly connected to heart disease, including chest pain type, maximum heart rate, and ST-related metrics. Other features, such as cholesterol and resting blood pressure, show weaker influence.
🎬 Video Presentation
🔗 https://www.loom.com/share/d5891c3d0c20490ba79884fc701f4bc7