{"id":20559075,"url":"https://github.com/soupu07/retail_analysis_with_walmart_data","last_synced_at":"2026-05-02T11:40:15.829Z","repository":{"id":257245581,"uuid":"857718488","full_name":"Soupu07/Retail_Analysis_with_Walmart_Data","owner":"Soupu07","description":"The aim of this project is to do the retail analysis with Walmart data.","archived":false,"fork":false,"pushed_at":"2024-10-17T20:54:08.000Z","size":902,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-16T18:54:43.662Z","etag":null,"topics":["data-science","data-science-projects","python","regression","walmart","walmart-sales-forecasting"],"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/Soupu07.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":"2024-09-15T12:30:15.000Z","updated_at":"2024-10-17T20:54:11.000Z","dependencies_parsed_at":"2024-09-15T14:09:05.903Z","dependency_job_id":"1ce7001a-58b5-44c0-b3c2-80cf14455805","html_url":"https://github.com/Soupu07/Retail_Analysis_with_Walmart_Data","commit_stats":null,"previous_names":["soupu07/retail_analysis_with_walmart_data"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FRetail_Analysis_with_Walmart_Data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FRetail_Analysis_with_Walmart_Data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FRetail_Analysis_with_Walmart_Data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Soupu07%2FRetail_Analysis_with_Walmart_Data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Soupu07","download_url":"https://codeload.github.com/Soupu07/Retail_Analysis_with_Walmart_Data/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242165324,"owners_count":20082455,"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":["data-science","data-science-projects","python","regression","walmart","walmart-sales-forecasting"],"created_at":"2024-11-16T03:48:42.715Z","updated_at":"2026-05-02T11:40:10.801Z","avatar_url":"https://github.com/Soupu07.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Retail_Analysis_with_Walmart_Data\n\n# Business Understanding\n\n# Walmart is an American retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores.\n![Walmart](https://github.com/user-attachments/assets/6e2c567b-c8e5-47fd-af65-f2da87b9a52a)\n\n## In this project, we focused on answering the following questions:\n1. Which store has minimum and maximum sales?\n2. Which store has maximum standard deviation i.e., the sales vary a lot. Also, find out the coefficient of mean\nto standard deviation\n3. Provide a monthly and semester view of sales in units and give insights\n4. Build prediction to forecast demand.\n\n## Data Understanding\nThere are sales data available for 45 stores of Walmart. This is the data that covers sales from 2010-\n02-05 to 2012-11-01.\n\nThe data contains these features:\n\n### Store - the store number\n\n### Date - the week of sales\n\n### Weekly_Sales - sales for the given store\n\n### Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week\n\n### Temperature - Temperature on the day of sale\n\n### Fuel_Price - Cost of fuel in the region\n\n### CPI – Prevailing consumer price index\n\n### Unemployment - Prevailing unemployment rate\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoupu07%2Fretail_analysis_with_walmart_data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoupu07%2Fretail_analysis_with_walmart_data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoupu07%2Fretail_analysis_with_walmart_data/lists"}