{"id":19834266,"url":"https://github.com/ireneflorez/exploringweathertrends","last_synced_at":"2026-02-10T16:31:14.062Z","repository":{"id":69252347,"uuid":"133285836","full_name":"IreneFlorez/ExploringWeatherTrends","owner":"IreneFlorez","description":" Exploring Weather Trends using SQL, moving averages, and data visualization","archived":false,"fork":false,"pushed_at":"2019-02-25T17:07:20.000Z","size":142,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-08-12T18:41:32.822Z","etag":null,"topics":["data-visualization","excel","sql"],"latest_commit_sha":null,"homepage":"","language":null,"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/IreneFlorez.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":"2018-05-14T00:35:29.000Z","updated_at":"2019-02-25T17:07:21.000Z","dependencies_parsed_at":"2023-04-25T22:31:30.426Z","dependency_job_id":null,"html_url":"https://github.com/IreneFlorez/ExploringWeatherTrends","commit_stats":{"total_commits":4,"total_committers":1,"mean_commits":4.0,"dds":0.0,"last_synced_commit":"7d476dcd21bfd0c4971484c63b9aba14e651f556"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/IreneFlorez/ExploringWeatherTrends","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2FExploringWeatherTrends","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2FExploringWeatherTrends/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2FExploringWeatherTrends/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2FExploringWeatherTrends/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IreneFlorez","download_url":"https://codeload.github.com/IreneFlorez/ExploringWeatherTrends/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2FExploringWeatherTrends/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29307904,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-10T16:09:25.305Z","status":"ssl_error","status_checked_at":"2026-02-10T16:08:52.170Z","response_time":65,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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-visualization","excel","sql"],"created_at":"2024-11-12T12:03:46.144Z","updated_at":"2026-02-10T16:31:14.043Z","avatar_url":"https://github.com/IreneFlorez.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ExploringWeatherTrends\nExploring Weather Trends using SQL, moving averages, and data visualization. \n\n# Description\nExtract data, from a preset Udacity temperature database, using SQL. Analyze local and global temperature data and compare the temperature trends where you live to overall global temperature trends. Create a visualization and pdf report: \n* Describing the \nsimilarities and differences between global temperature trends and temperature trends in the closest big city to where you live\n* What tools were used for each step\n* How calculations were perfomed\n* Key considerations when analyzing the trends.\n\n# Files\n* \"weatherDataQuery.sql\" - SQL query \n* \"results.csv\" - SQL query data product\n* \"Report\" - final report\n\n#More\nSF Weather Data\nhttps://www.ggweather.com/sf/monthly.html\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fireneflorez%2Fexploringweathertrends","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fireneflorez%2Fexploringweathertrends","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fireneflorez%2Fexploringweathertrends/lists"}