{"id":15003096,"url":"https://github.com/anjalikumari021/retail_customer_behavior_analysis_using_sql","last_synced_at":"2026-03-14T22:17:18.451Z","repository":{"id":239612044,"uuid":"800061974","full_name":"AnjaliKumari021/Retail_Customer_Behavior_Analysis_using_SQL","owner":"AnjaliKumari021","description":"Analysed Retail data to understand customer behavior, transaction pattern using SQL","archived":false,"fork":false,"pushed_at":"2024-05-15T10:08:55.000Z","size":734,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-18T13:57:22.946Z","etag":null,"topics":["aggregate-functions","database","datapreparation","joins","microsoft-sql-server"],"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/AnjaliKumari021.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":"2024-05-13T16:19:17.000Z","updated_at":"2024-05-15T10:08:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"66972067-afa1-4402-bda5-d86f4c170776","html_url":"https://github.com/AnjaliKumari021/Retail_Customer_Behavior_Analysis_using_SQL","commit_stats":null,"previous_names":["anjalikumari021/retail_customer_behavior_analysis_using_sql"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnjaliKumari021%2FRetail_Customer_Behavior_Analysis_using_SQL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnjaliKumari021%2FRetail_Customer_Behavior_Analysis_using_SQL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnjaliKumari021%2FRetail_Customer_Behavior_Analysis_using_SQL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnjaliKumari021%2FRetail_Customer_Behavior_Analysis_using_SQL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AnjaliKumari021","download_url":"https://codeload.github.com/AnjaliKumari021/Retail_Customer_Behavior_Analysis_using_SQL/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243153790,"owners_count":20244817,"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":["aggregate-functions","database","datapreparation","joins","microsoft-sql-server"],"created_at":"2024-09-24T18:55:58.388Z","updated_at":"2025-12-25T23:26:53.394Z","avatar_url":"https://github.com/AnjaliKumari021.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Retail_Customer_Behavior_Analysis_using_SQL\nThe retail store would like/ aim of this project is to understand the customer behavior, purchasing patterns, categories customers are buying to extract valuable insights and answer various business related questions.\nThis project provides valuable insights for the retail store,including information about the \nmost frequent transaction channel, city with maximum customers, maximum quantity product ordered\npercentage of sales and returns by product sub-category and many more.\nThe results can identify customer preferences and trends, help retain the customers by improving their shopping experience.\n\n## Data Availability\nThe data set comprises of 3 tables.\n* Customer: Customer demographics\n* Transactions: Customer transaction details\n* Product category: Product category and sub-category information\n## Schema\nThe following diagram explains the relationship between the tables.\n\n![Screenshot 2024-05-14 224456](https://github.com/AnjaliKumari021/Retail_Customer_Behavior_Analysis_using_SQL/assets/169189473/7bd6372f-d83c-4485-aa3d-06992d4c5025)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanjalikumari021%2Fretail_customer_behavior_analysis_using_sql","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanjalikumari021%2Fretail_customer_behavior_analysis_using_sql","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanjalikumari021%2Fretail_customer_behavior_analysis_using_sql/lists"}