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Datasets:
odedf2001
/
heart2

Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
health
medical
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
Community
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+ ---
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+ task_categories:
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+ - tabular-classification
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+ language:
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+ - en
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+ tags:
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+ - health
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+ - medical
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+ # ❤️ Heart Disease — Exploratory Data Analysis
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+
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+ ## 👤 Author
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+ **Oded Fuchs**
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+
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+ ---
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+
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+ ## 🎯 Project Goal
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+ The goal of this project is to explore which factors are most strongly related to heart disease,
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+ using statistical analysis and data visualization.
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+
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+ ---
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+
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+ ## 🔍 Research Question
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+ > **Which factors have the strongest impact on the likelihood of heart disease?**
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+
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+ ---
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+
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+ ## 📦 Dataset
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+ - Source: Kaggle
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+ - Format: CSV
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+ - ~302 samples
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+ - Contains various clinical features
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+
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+ ### Target
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+ `target`
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+ - **1 = Heart disease**
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+ - **0 = No heart disease**
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+
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+ ---
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+
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+ ## 🏷 Feature Overview
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+ | Feature | Description |
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+ |---------|-------------|
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+ | age | Age |
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+ | sex | 0 = female, 1 = male |
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+ | cp | Chest pain type |
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+ | trestbps | Resting blood pressure |
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+ | chol | Cholesterol |
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+ | fbs | Fasting blood sugar |
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+ | restecg | Resting ECG results |
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+ | thalach | Maximum heart rate |
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+ | exang | Exercise-induced angina |
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+ | oldpeak | ST depression |
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+ | slope | Slope of ST |
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+ | ca | Number of major vessels |
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+ | thal | Thallium test result |
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+ | target | Heart disease indicator |
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+
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+ ---
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+
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+ # 🔧 Data Preparation
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+
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+ ### ✅ Cleaning Steps
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+ - Checked for missing values — none found
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+ - Checked for duplicate records
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+ - Verified valid ranges
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+ - Adjusted and simplified column names
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+
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+ ---
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+
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+ # 📊 Exploratory Data Analysis (EDA)
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+
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+ ## Target Distribution
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/ytjKjluhwJL6I66y5wEEF.png)
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+
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+ ---
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+
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+ ## ✅ Key Features & Insights
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+
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+ ### 1) Age
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+ Patients with heart disease are slightly younger on average.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/HJfXSFOxtjcb5yfjj2Cbx.png)
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+
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+ ---
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+
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+ ### 2) Chest Pain (cp)
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+ One of the strongest predictors:
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+ Higher chest pain type is strongly linked to heart disease.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/_zR4KdtpHuVmrYEiYSoFy.png)
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+
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+ ---
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+
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+ ### 3) Max Heart Rate (thalach)
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+ Patients with heart disease tend to have a higher maximum heart rate.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/SklL0tx4sze3Ss6hDjclP.png)
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+
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+ ---
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+
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+ ### 4) ST Depression (oldpeak)
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+ Lower oldpeak values are more common among heart-disease patients.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/CNk3OjhxqjjCrQCwCT_0w.png)
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+
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+ ---
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+
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+ ### 5) Exercise-Induced Angina (exang)
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+ Most patients **do not** experience chest pain during exercise.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/vqYWmlwiiBGCykqaKvgST.png)
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+
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+ ---
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+
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+ ### 6) Thal
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+ Moderate difference between groups, still noticeable.
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/6909b9db75ba88c195adac42/dlQl3wxYVdf5R6iFQ-s00.png)
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+
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+ ---
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+
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+ # 📑 Summary Table
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+
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+ | Feature | No Disease (0) | Disease (1) | Insight |
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+ |---------|----------------|-------------|---------|
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+ | cp | 0.48 | 1.38 | Strong relationship |
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+ | thalach | 139 | 159 | Higher among disease |
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+ | oldpeak | 1.60 | 0.57 | Lower among disease |
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+ | exang | 0.55 | 0.14 | Less common in disease |
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+ | age | 56.6 | 52.4 | Slightly younger |
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+ | chol | 251 | 241 | Small difference |
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+ | ca | 1.16 | 0.37 | ⚠️ Opposite trend |
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+ | trestbps | 134 | 129 | Weak effect |
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+ | thal | 2.54 | 2.12 | Moderate effect |
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+
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+ ---
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+
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+ # ✅ Main Insights
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+
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+ 📌 Strong indicators of heart disease:
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+ 1) **Chest Pain (cp)**
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+ 2) **Max Heart Rate (thalach)**
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+ 3) **ST Depression (oldpeak)**
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+ 4) **Exercise-Induced Angina (exang)**
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+
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+ 📌 Additional observations:
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+ - Exercise-induced angina (exang) is less common among patients with heart disease
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+ - Cholesterol and blood pressure show weaker relationships
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+ - `ca` shows an unexpected pattern → may indicate data/coding issues
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+
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+ ---
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+
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+ # ✅ Conclusions
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+ Several clinical measurements appear strongly connected to heart disease, including chest pain type, maximum heart rate, and ST-related metrics.
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+ Other features, such as cholesterol and resting blood pressure, show weaker influence.
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+
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+ ---
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+
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+ # 🎬 Video Presentation
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+ > 🔗 **Insert video link here**
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+
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+ ---
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+
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+ # 🧾 Files Included
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+ | File | Description |
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+ |------|-------------|
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+ | Assignment_1_oded_fuchs.ipynb | Analysis & visuals |
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+ | README.md | Project summary |
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+ | heart.csv | Original dataset |
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+
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+ ---