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task_categories:
- tabular-classification
language:
- en
tags:
- health
- medical
size_categories:
- 1K<n<10K
---
# ❤️ 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
| Feature | Description |
|---------|-------------|
| age | Age |
| sex | 0 = female, 1 = male |
| cp | Chest pain type |
| trestbps | Resting blood pressure |
| chol | Cholesterol |
| fbs | Fasting blood sugar |
| restecg | Resting ECG results |
| thalach | Maximum heart rate |
| exang | Exercise-induced angina |
| oldpeak | ST depression |
| slope | Slope of ST |
| ca | Number of major vessels |
| thal | Thallium test result |
| target | Heart disease indicator |
---
# 🔧 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
| Feature | No Disease (0) | Disease (1) | Insight |
|---------|----------------|-------------|---------|
| cp | 0.48 | 1.38 | Strong relationship |
| thalach | 139 | 159 | Higher among disease |
| oldpeak | 1.60 | 0.57 | Lower among disease |
| exang | 0.55 | 0.14 | Less common in disease |
| age | 56.6 | 52.4 | Slightly younger |
| chol | 251 | 241 | Small difference |
| ca | 1.16 | 0.37 | ⚠️ Opposite trend |
| trestbps | 134 | 129 | Weak effect |
| thal | 2.54 | 2.12 | Moderate effect |
---
# ✅ 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
- `ca` shows 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
---
# 🧾 Files Included
| File | Description |
|------|-------------|
| Assignment_1_oded_fuchs.ipynb | Analysis & visuals |
| README.md | Project summary |
| heart.csv | Original dataset |
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