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This project cleans the dataset, explores key insights, visualizes patterns, and summarizes findings to understand survival factors.\n\n---\n\n## 📁 Dataset\n\n- Source: [Kaggle - Titanic Dataset](https://www.kaggle.com/c/titanic/data)\n- Filename: `TiTanic_Dataset.csv`\n\n---\n\n## 🔍 Objective\n\nPerform EDA and generate visual insights to answer:\n- Who were most likely to survive?\n- Were there patterns in class, gender, age, or fare?\n- What variables are correlated?\n\n---\n\n## 📌 Features Explored\n\n- Passenger Class (Pclass)\n- Sex\n- Age\n- Fare\n- Survival\n- Siblings/Spouse \u0026 Parents/Children (SibSp, Parch)\n- Embarked\n\n---\n\n## 📊 Visualizations\n\nSaved in the `Graphs/` folder:\n- 📦 Bar charts for categorical data (Sex, Pclass)\n- 📈 Histograms for distributions (Age, Fare)\n- 🌡️ Correlation Heatmap\n\n---\n\n## 🧹 Cleaning \u0026 Processing\n\n- Handled missing values:\n  - `Age`: Filled with median\n  - `Embarked`: Filled with mode\n  - `Cabin`: Dropped (too sparse)\n- Removed duplicates\n- Detected outliers in `Fare` using IQR\n\n---\n\n## 💡 Key Insights\n\n- Majority of passengers were **male** and in **3rd class**\n- **Females had higher survival rates**\n- **Younger passengers** were common\n- Strong correlation between **SibSp** and **Parch** (family)\n- **Fare** had significant outliers\n\nFull findings are documented in [`TiTanic_EDA_Summery.docx`](./TiTanic_EDA_Summery.docx)\n\n---\n\n## ▶️ Run It Yourself\n\n```bash\npython eda_titanic.py\n```\n\n---\n\n## ⚙️ Tools Used\n\n- **Python**\n- **Pandas**\n- **Matplotlib** \u0026 **Seaborn**\n- **Numpy**\n\n---\n\n## 👨‍💻 Author\n\n**Ahsan Khizar**\n[GitHub](https://github.com/ahsankhizar5) — [LinkedIn](https://linkedin.com/in/ahsankhizar5)\n\n---\n\n\u003e 💡 *\"Models may predict prices, but code quality predicts trust.\"* — Ahsan Khizar\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahsankhizar5%2Ftitanic-eda-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahsankhizar5%2Ftitanic-eda-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahsankhizar5%2Ftitanic-eda-visualization/lists"}