{"id":26401230,"url":"https://github.com/analysisbyvivek/road-accident","last_synced_at":"2026-06-19T18:31:16.879Z","repository":{"id":277478547,"uuid":"932535913","full_name":"analysisbyvivek/Road-Accident","owner":"analysisbyvivek","description":"Analyzes road accident patterns, exploring factors like lighting, weather, speed limits, time of day, and road conditions to uncover trends in severity and frequency.","archived":false,"fork":false,"pushed_at":"2025-02-14T11:52:11.000Z","size":5483,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-03T14:33:44.954Z","etag":null,"topics":["data-analysis","data-visualization","eda","jupyter-notebook","kaggle","tableau-public"],"latest_commit_sha":null,"homepage":"https://public.tableau.com/app/profile/vivek.nakrani/vizzes","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/analysisbyvivek.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}},"created_at":"2025-02-14T04:21:11.000Z","updated_at":"2025-02-14T11:52:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"34c601ab-042e-4773-8384-a6ee4c799c5e","html_url":"https://github.com/analysisbyvivek/Road-Accident","commit_stats":null,"previous_names":["vivekntagline/road-accidents","analysisbyvivek/road-accident"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/analysisbyvivek/Road-Accident","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/analysisbyvivek%2FRoad-Accident","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/analysisbyvivek%2FRoad-Accident/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/analysisbyvivek%2FRoad-Accident/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/analysisbyvivek%2FRoad-Accident/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/analysisbyvivek","download_url":"https://codeload.github.com/analysisbyvivek/Road-Accident/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/analysisbyvivek%2FRoad-Accident/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34544403,"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":"2026-06-19T02:00:06.005Z","response_time":61,"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":["data-analysis","data-visualization","eda","jupyter-notebook","kaggle","tableau-public"],"created_at":"2025-03-17T14:50:41.759Z","updated_at":"2026-06-19T18:31:16.860Z","avatar_url":"https://github.com/analysisbyvivek.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Road Accident Data Analysis  \n\n![Road-accident](https://github.com/user-attachments/assets/6a0cd54d-acb6-4e67-871a-5f50330fd7ac)  \n\nThis repository contains an exploratory data analysis (EDA) and visualization of road accident data. The analysis aims to uncover key patterns and insights related to accidents, helping to understand factors influencing road safety.  \n\n## Dataset  \nThe dataset used for this analysis is sourced from Kaggle. You can access it here: [Road Accident Dataset](https://www.kaggle.com/datasets/xavierberge/road-accident-dataset/data)  \n\n## Contents  \n\n- **Jupyter Notebook**: Contains the exploratory data analysis (EDA), including bar charts and other visualizations to highlight trends in the dataset.  \n- **Dashboard \u0026 Story**: A comprehensive document featuring all sheets, dashboards, and a story presented as a questionnaire format to facilitate insights.  \n- **Questions \u0026 Insights PDF**: A set of questions designed to extract meaningful insights from the data.  \n- **Google Report**: A detailed report documenting the findings and analysis. You can view it here:  \n  [Google Report](https://docs.google.com/document/d/1ZeQiM_WD8jKCqwzhHgLYepqopYHI3gXz_-C8aklTC4w/edit?usp=sharing)  \n\n## Key Insights  \n\n- Analysis of accident trends based on different factors such as time, location, severity, and speed limits.  \n- Visual representation of accident patterns to identify high-risk areas and contributing factors.  \n- Dashboard and story format to make insights easily interpretable and actionable.  \n\n## Usage  \n\n- Open the Jupyter Notebook to explore the EDA and visualizations.  \n- Refer to the Dashboard \u0026 Story PDF for a structured presentation of the findings.  \n- Use the Questions \u0026 Insights PDF for a list of questions.  \n- Check the **Google Report** for a comprehensive documentation of findings and recommendations.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanalysisbyvivek%2Froad-accident","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanalysisbyvivek%2Froad-accident","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanalysisbyvivek%2Froad-accident/lists"}