{"id":23910928,"url":"https://github.com/devoloper-1/los-angeles-crimes-analysis","last_synced_at":"2026-06-10T21:31:22.286Z","repository":{"id":247219200,"uuid":"822680299","full_name":"DEVOLOPER-1/Los-Angeles-Crimes-Analysis","owner":"DEVOLOPER-1","description":"EDA for crimes trends in LOS ANGELES from 2019 to 2024","archived":false,"fork":false,"pushed_at":"2024-08-22T11:48:55.000Z","size":18967,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-23T17:17:18.944Z","etag":null,"topics":["jupyter-notebook","kaggle-dataset","streamlit-dashboard"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DEVOLOPER-1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2024-07-01T15:42:21.000Z","updated_at":"2024-09-21T21:21:46.000Z","dependencies_parsed_at":"2025-01-05T07:43:17.626Z","dependency_job_id":null,"html_url":"https://github.com/DEVOLOPER-1/Los-Angeles-Crimes-Analysis","commit_stats":null,"previous_names":["devoloper-1/los-angeles-crimes-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DEVOLOPER-1/Los-Angeles-Crimes-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DEVOLOPER-1%2FLos-Angeles-Crimes-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DEVOLOPER-1%2FLos-Angeles-Crimes-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DEVOLOPER-1%2FLos-Angeles-Crimes-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DEVOLOPER-1%2FLos-Angeles-Crimes-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DEVOLOPER-1","download_url":"https://codeload.github.com/DEVOLOPER-1/Los-Angeles-Crimes-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DEVOLOPER-1%2FLos-Angeles-Crimes-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34172196,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-10T02:00:07.152Z","response_time":89,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["jupyter-notebook","kaggle-dataset","streamlit-dashboard"],"created_at":"2025-01-05T07:29:48.527Z","updated_at":"2026-06-10T21:31:22.261Z","avatar_url":"https://github.com/DEVOLOPER-1.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Crimes in Los Angeles - Exploratory Data Analysis (EDA) 🕵️‍♂️\n\n## Overview 📊\nWelcome to the repository for the exploratory data analysis (EDA) of the **Crimes in Los Angeles** dataset, available on [Kaggle](https://www.kaggle.com/datasets/sudhanvahg/crimes-in-las-angeles/code). This project involves data scraping, cleaning, and visualization to uncover insights about crime patterns in Los Angeles.\n\n## Project Steps 🚀\n### 1. Data Scraping 📥\nThe dataset was retrieved using the Kaggle API token, ensuring an automated and up-to-date data extraction process.\n\n### 2. Data Cleaning 🧼\n- **Pandas**: Used for initial data manipulation and cleaning.\n- **PyJanitor**: Assisted in further cleaning tasks, such as removing null values, renaming columns, and filtering data.\n\n### 3. Initial EDA with LangChain API 🧠\nAttempted to use the LangChain API to perform initial EDA, but it did not yield satisfactory results.\n\n### 4. Advanced Analysis with Pandas Sketch 🔍\nLeveraged Pandas Sketch to analyze the dataframe and receive recommendations based on specific queries, leading to more insightful EDA.\n\n### 5. Data Refinement ✨\nThe dataset was large and required additional cleaning. New dataframes were generated with specific re-cleansed columns, applying custom conditionals to ensure data accuracy and relevance.\n\n### 6. Visualization with Streamlit 📈\nThe refined data was visualized using a Streamlit dashboard, providing an interactive and user-friendly interface to explore the analysis results.\n\n## Results 🏆\nThe EDA revealed significant insights into crime patterns in Los Angeles, such as:\n- Trends over time ⏳\n- Geographic hotspots 🗺️\n- Crime types and frequencies 📝\n\n## Technologies Used 💻\n- **Kaggle API**: For data scraping.\n- **Pandas**: Data manipulation and cleaning.\n- **PyJanitor**: Advanced data cleaning.\n- **LangChain API**: Initial EDA attempts.\n- **Pandas Sketch**: Dataframe analysis and recommendations.\n- **Streamlit**: Dashboard creation and data visualization.\n\n## How to Run 🏃‍♀️\n1. **Clone the repository**:\n   ```bash\n   git clone https://github.com/DEVOLOPER-1/Los-Angeles-Crimes-Analysis.git\n   ```\n2. **Install the required packages (Easy copy and paste into ur cmd)**:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. **Run the Streamlit dashboard**:\n   ```bash\n   streamlit run main.py\n   ```\n4. **A Quick Overview ON the DashBoard**:\n\nhttps://github.com/DEVOLOPER-1/Los-Angeles-Crimes-Analysis/assets/153318445/8e87321e-9829-4108-87cc-e27deed4bc02\n\n\n## Conclusion 🎯\nThis project showcases a comprehensive approach to EDA, from data scraping to visualization. The use of various tools and libraries ensures thorough data cleaning and insightful analysis, making it a valuable resource for understanding crime dynamics in Los Angeles.\n\n## License 📜\nThis project is licensed under the MIT License.\n\n---\n## Stay in Touch 📬\nThank you for using NeuroImg2PNG! If you have any questions or need any more help, please feel free to reach out.\n\nhttps://shorturl.at/nQqEd\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevoloper-1%2Flos-angeles-crimes-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevoloper-1%2Flos-angeles-crimes-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevoloper-1%2Flos-angeles-crimes-analysis/lists"}