{"id":22850598,"url":"https://github.com/dev-saw99/weather-analysis","last_synced_at":"2026-01-08T20:08:27.876Z","repository":{"id":106648417,"uuid":"251230376","full_name":"dev-saw99/Weather-Analysis","owner":"dev-saw99","description":"In this project, I analyzed local and global temperature data and compared the temperature trends where I live to overall global temperature trends.","archived":false,"fork":false,"pushed_at":"2020-03-30T07:51:10.000Z","size":2648,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-06T10:53:26.919Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/dev-saw99.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":"2020-03-30T07:18:53.000Z","updated_at":"2020-03-30T07:51:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"412b272e-9de0-46dc-9219-a981fe509159","html_url":"https://github.com/dev-saw99/Weather-Analysis","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dev-saw99%2FWeather-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dev-saw99%2FWeather-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dev-saw99%2FWeather-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dev-saw99%2FWeather-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dev-saw99","download_url":"https://codeload.github.com/dev-saw99/Weather-Analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246429164,"owners_count":20775803,"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":[],"created_at":"2024-12-13T05:08:12.823Z","updated_at":"2026-01-08T20:08:27.844Z","avatar_url":"https://github.com/dev-saw99.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Weather Trends\n\n![image](new-piktochart_30214532-copy.jpg)\n\n**Data Extraction :**\nData was extractedd from udactiy SQL workspace. SQL query used to extract the data from Database are :\n```\n\tSELECT * FROM city_list;\n\tSELECT * FROM city_data;\n\tSELECT * FROM global_data; \n```\t\t\n\n **Microsoft Excel 2010** is used for preparation and analysis of the data.\n\n**Steps :**\n+ Read and observe the available data.  \n+ Calculate the moving average of global temperature.  \n+ Find out your nearest city.  \n+ Calculate the moving average of the city temperature.  \n+ Join the tables. o Create a Pivot Table.  \n+ Create a line chart. \n+ Find Correlation coefficient.  \n\n**Moving Average :**\nIn statistics, a moving average is a calculation to analyze data points by creating a series of averages of different subsets of the full data set. It is also called a moving mean or rolling mean and is a type of finite impulse response filter.\nTo calculate the moving average, subset of 10 data points where taken at a time for the calculation.  \nBuilt in function AVERAGE (range) was used to calculate the moving average\n\n**LIne Chart :**\n\n![image](Graph.png)\n\n**Observations :**\n+ Global average temperature is much lower compared to average temperature in Ranchi and Ludhiana.\n+\tIn chart we can see that there was sudden decrease in temperature during 1855-1862, there is also noticeable decrease in temperature i.e., 22° C during 1925-1930, but temperature of Ranchi has been consistent in past few decades i.e., approx. 24° C.\n+\tNew York temperature is much lower if compared to my city. \n+\tNew York temperature is increasing gradually.\n+\tGlobal temperature is also increasing gradually.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdev-saw99%2Fweather-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdev-saw99%2Fweather-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdev-saw99%2Fweather-analysis/lists"}