{"id":18614580,"url":"https://github.com/tanay-dwivedi/weather-data-analysis","last_synced_at":"2026-05-13T23:37:31.909Z","repository":{"id":227706500,"uuid":"769673641","full_name":"Tanay-Dwivedi/Weather-Data-Analysis","owner":"Tanay-Dwivedi","description":"The project involves comprehensive analysis of a weather dataset to uncover trends, correlations, and insights, facilitating informed decision-making in various sectors reliant on meteorological data.","archived":false,"fork":false,"pushed_at":"2024-05-08T14:25:02.000Z","size":1772,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-13T06:05:02.318Z","etag":null,"topics":["dataanalysis","matplotlib-pyplot","plotly","python","seaborn","visualization","weatherdata"],"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/Tanay-Dwivedi.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":"2024-03-09T18:27:10.000Z","updated_at":"2024-05-08T14:25:07.000Z","dependencies_parsed_at":"2024-03-14T19:44:07.818Z","dependency_job_id":"1d3d5b8e-4bd7-47cc-bd4a-e36c8391d6a0","html_url":"https://github.com/Tanay-Dwivedi/Weather-Data-Analysis","commit_stats":null,"previous_names":["tanay-dwivedi/weather-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Tanay-Dwivedi/Weather-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FWeather-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FWeather-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FWeather-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FWeather-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Tanay-Dwivedi","download_url":"https://codeload.github.com/Tanay-Dwivedi/Weather-Data-Analysis/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Tanay-Dwivedi%2FWeather-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279013944,"owners_count":26085431,"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","status":"online","status_checked_at":"2025-10-13T02:00:06.723Z","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":["dataanalysis","matplotlib-pyplot","plotly","python","seaborn","visualization","weatherdata"],"created_at":"2024-11-07T03:26:05.834Z","updated_at":"2025-10-13T06:05:58.692Z","avatar_url":"https://github.com/Tanay-Dwivedi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weather Data Analysis\n-----\n\n## Problem Statement\n\nThe project aims to conduct comprehensive **data analysis** on a weather dataset comprising variables such as **temperature (Temp_C)**, **dew point temperature (Dew Point Temp_C)**, **relative humidity (Rel Hum_%)**, **wind speed (Wind Speed_km/h)**, **visibility (Visibility_km)**, **pressure (Press_kPa)**, and **weather conditions (Weather_condition)**. Through this analysis, the objective is to uncover insights and patterns in the data.\nThe project utilizes **matplotlib**, **seaborn**, and **plotly** for data visualization to provide a comprehensive understanding of the weather dataset.\n\n-----\n\n## Identify the Data\n\n[Dataset](https://github.com/Tanay-Dwivedi/Weather-Data-Analysis/blob/master/weather.csv)\n\nThe dataset comprises various weather parameters including temperature, humidity, wind speed, and atmospheric pressure. It also includes categorical data describing weather conditions, enabling comprehensive analysis of meteorological trends and patterns.\n\n-----\n\n## Aim of the analysis\n\n1. **Understanding Weather Patterns:** The analysis aims to unravel trends and patterns within the weather dataset, providing insights into temperature fluctuations, humidity levels, wind speed variations, and other meteorological phenomena.\n\n2. **Identifying Correlations:** By examining the relationships between different weather parameters, the analysis seeks to identify correlations and dependencies, shedding light on how these variables interact and influence each other.\n\n3. **Informing Decision Making:** Through data-driven insights, the analysis aims to assist in informed decision-making processes, such as urban planning, agricultural management, and emergency preparedness, by providing a deeper understanding of prevailing weather conditions and their potential impacts.\n\n-----","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanay-dwivedi%2Fweather-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftanay-dwivedi%2Fweather-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftanay-dwivedi%2Fweather-data-analysis/lists"}