{"id":28384543,"url":"https://github.com/busra-deveci/kaggle-iris_data_analysis","last_synced_at":"2026-04-30T20:33:04.151Z","repository":{"id":288045105,"uuid":"966648523","full_name":"Busra-Deveci/kaggle-Iris_Data_Analysis","owner":"Busra-Deveci","description":"Exploratory data analysis and visualization of the Iris dataset using Python.","archived":false,"fork":false,"pushed_at":"2025-04-15T08:47:21.000Z","size":3,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-30T10:15:33.011Z","etag":null,"topics":["data-analysis","iris-dataset","kaggle","pandas","python","seaborn","visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Busra-Deveci.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-04-15T08:42:17.000Z","updated_at":"2025-05-19T19:21:53.000Z","dependencies_parsed_at":"2025-04-15T23:25:55.794Z","dependency_job_id":null,"html_url":"https://github.com/Busra-Deveci/kaggle-Iris_Data_Analysis","commit_stats":null,"previous_names":["busradeveci/kaggle-iris_data_analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Busra-Deveci/kaggle-Iris_Data_Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Busra-Deveci%2Fkaggle-Iris_Data_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Busra-Deveci%2Fkaggle-Iris_Data_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Busra-Deveci%2Fkaggle-Iris_Data_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Busra-Deveci%2Fkaggle-Iris_Data_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Busra-Deveci","download_url":"https://codeload.github.com/Busra-Deveci/kaggle-Iris_Data_Analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Busra-Deveci%2Fkaggle-Iris_Data_Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261977505,"owners_count":23239367,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","iris-dataset","kaggle","pandas","python","seaborn","visualization"],"created_at":"2025-05-30T09:09:11.212Z","updated_at":"2026-04-30T20:33:04.086Z","avatar_url":"https://github.com/Busra-Deveci.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Iris Data Analysis\n\nThis project is a simple data analysis and visualization of the famous Iris dataset using Python.\n\n## 📊 Dataset\n- The dataset contains measurements of iris flowers from three different species: Setosa, Versicolor, and Virginica.\n- Features include sepal length, sepal width, petal length, and petal width.\n\n## 🧰 Tools \u0026 Libraries\n- Python\n- Pandas\n- Matplotlib\n- Seaborn\n\n## 📈 What I Did\n- Data cleaning and exploration\n- Visualized feature distributions\n- Created correlation heatmaps\n- Analyzed relationships between features and target classes\n\n## 🚀 Getting Started\nTo run this notebook:\n1. Clone the repository\n2. Install required libraries\n3. Open the `.ipynb` file in Jupyter or VS Code\n\n## 📁 File Structure\n- `Iris_Data_Analysis.ipynb`: Jupyter notebook with all code and visualizations\n\n## 📌 Notes\nThis project is part of my data science learning journey using Kaggle notebooks and GitHub.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbusra-deveci%2Fkaggle-iris_data_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbusra-deveci%2Fkaggle-iris_data_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbusra-deveci%2Fkaggle-iris_data_analysis/lists"}