{"id":27957494,"url":"https://github.com/farhad-here/data-visualization-analysis-dva","last_synced_at":"2026-04-11T00:05:50.771Z","repository":{"id":291134975,"uuid":"976613555","full_name":"farhad-here/Data-visualization-analysis-DVA","owner":"farhad-here","description":"This is my data analysis project. Users can use this project to clean and preprocessing the date or data visualization. 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It is designed to help data analysts explore and prepare data for deeper insights and modeling.\n\n## 🔧 Features\n\n- ✅ **Imputation** – Handling missing values using statistical and model-based methods.\n- 📊 **Evaluation** – Comparing imputation results and measuring their effectiveness.\n- 🧽 **Cleaning** – Removing duplicates, fixing inconsistencies, and filtering out noisy data.\n- 🔍 **Sorting \u0026 Filtering** – Organizing data for clearer analysis.\n- 📈 **Visualization** – Generating informative charts using Matplotlib/Seaborn to identify trends.\n- 🧑‍💻 **Streamlit UI** *(optional)* – Interactive interface to explore data visually.\n\n# \u003ca href=\"https://dvadataanalysis.streamlit.app/\"\u003ego to DVA WebApp\u003c/a\u003e\n\n# 🧰 Install dependencies:\n## download dataset\n\n---\n### \u003ca href=\"https://www.kaggle.com/datasets/uciml/iris\" style=\"text-decoration:none;\"\u003eDATASET\u003c/a\u003e\n---\nif an error occur for the bokeh library:\n```bash\npip install --force-reinstall --no-deps bokeh==2.4.3\n\n```\ndo not forget:\n```bash\npip install -r requirements.txt \n\n```\n\n# 🧪 Technologies Used\n\n- python\n- streamlit\n- pandas\n- numpy\n- sklearn\n- matplotlib\n- bokeh\n- altair\n- plotly\n- io\n\n# 🏕️pic\n![da1](https://github.com/user-attachments/assets/7115cba5-9bb1-4ee1-aa6b-bbc2d4424461)\n![da2](https://github.com/user-attachments/assets/8a79045d-fec3-4d3d-aa17-750b2a82c2c2)\n![da3](https://github.com/user-attachments/assets/42ee61c6-3f58-4ae6-9489-d3f4c5e6efe3)\n![da4](https://github.com/user-attachments/assets/50ed4674-7d8c-4dbe-9c0c-5b11baebe79e)\n![da5](https://github.com/user-attachments/assets/721f387a-dc21-49d8-9ae3-e193b34727b9)\n![da6](https://github.com/user-attachments/assets/a442d074-b1dc-4888-8406-d891d841e46d)\n![da7](https://github.com/user-attachments/assets/20b6fba6-6461-4dee-91de-dfdc04426aa4)\n![da8](https://github.com/user-attachments/assets/eb50b407-7cad-49f5-8fd5-75d656f7e6aa)\n![da9](https://github.com/user-attachments/assets/0b9898f8-367e-42b7-b0c9-396c024e20a1)\n![da10](https://github.com/user-attachments/assets/7a170212-eaba-4804-bc31-38feb4e36f66)\n![da11](https://github.com/user-attachments/assets/8aaf9bd2-6c71-4316-b348-207810f2421d)\n![da12](https://github.com/user-attachments/assets/3f475d0e-1c07-4a83-a528-83b15327cd9f)\n![da13](https://github.com/user-attachments/assets/1c907697-ba8a-4ce3-af9f-55e23886bdfc)\n![da14](https://github.com/user-attachments/assets/c1c4a1c9-5c71-40bc-9076-d12aa894435a)\n\n# 📌 Purpose\n\nThis project is ideal for practicing:\n\nReal-world data preprocessing\n\nMissing value treatment\n\nEvaluation of imputation strategies\n\nClear and clean visualization for storytelling\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhad-here%2Fdata-visualization-analysis-dva","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarhad-here%2Fdata-visualization-analysis-dva","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhad-here%2Fdata-visualization-analysis-dva/lists"}