{"id":25636379,"url":"https://github.com/1ayanabil1/iris-visualization","last_synced_at":"2025-02-23T00:46:48.094Z","repository":{"id":178085922,"uuid":"573438041","full_name":"1AyaNabil1/iris-visualization","owner":"1AyaNabil1","description":"This repository focuses on visualizing the Iris dataset using various data visualization techniques. It includes histograms, scatter plots, box plots, pie charts, bubble charts, and KDE plots to provide insights into the dataset’s structure. 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The visualizations help in understanding the distribution and relationships among different features of the dataset.\n\n## 🏗️ Features\n- 📈 **Histograms** for feature distributions\n- 📊 **KDE Plots** for density estimation\n- 🟢 **Scatter Plots** for sepal and petal comparisons\n- 📦 **Box Plots** to observe variations across species\n- 🥧 **Pie Chart** to show species distribution\n- 🔵 **Bubble Chart** for categorical representation\n\n## 🛠️ Installation \u0026 Usage\n### 🔹 Prerequisites\nEnsure you have Python installed along with the required libraries:\n```bash\npip install pandas numpy matplotlib seaborn plotly scikit-learn\n```\n\n### 🔹 Running the Script\nClone the repository and navigate to the project directory:\n```bash\ngit clone https://github.com/1Ayanabil1/iris-visualization.git\ncd iris-visualization\n```\nRun the visualization script:\n```bash\npython visualization.py\n```\n\n## 📂 Dataset\nThe dataset used is the **Iris dataset**, available as `Iris.csv`. It consists of 150 samples with the following attributes:\n- `SepalLengthCm`\n- `SepalWidthCm`\n- `PetalLengthCm`\n- `PetalWidthCm`\n- `Species`\n\n## 📷 Sample Visualizations\nHere are some of the generated visualizations:\n- **Histograms:** 📊 Feature distributions\n  \u003cp align=\"center\"\u003e\n  \u003cimg src=\"img/image1.png\" alt=\"Histograms\"\u003e\n\u003c/p\u003e\n\n- **Scatter Plots:** 🔍 Relationship between dimensions\n    \u003cp align=\"center\"\u003e\n  \u003cimg src=\"img/image2.png\" alt=\"Histograms\"\u003e\n\u003c/p\u003e\n\n- **Box Plots:** 📦 Comparative analysis across species\n    \u003cp align=\"center\"\u003e\n  \u003cimg src=\"img/image3.png\" alt=\"Histograms\"\u003e\n\u003c/p\u003e\n\n## 🤝 Contributing\nContributions are welcome! Feel free to fork the repository and submit a pull request.\n\n## 📜 License\nThis project is licensed under the **MIT License**.\n\n---\n📧 For any inquiries, reach out via [ayanabil297@gmail.com](mailto:ayanabil297@gmail.com). Happy coding! 🚀\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1ayanabil1%2Firis-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F1ayanabil1%2Firis-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1ayanabil1%2Firis-visualization/lists"}