{"id":26360533,"url":"https://github.com/dbshan25/roda","last_synced_at":"2026-04-12T18:57:27.652Z","repository":{"id":278010047,"uuid":"934215827","full_name":"DbShan25/RODA","owner":"DbShan25","description":"Retail Order Data Analysis","archived":false,"fork":false,"pushed_at":"2025-03-04T08:25:54.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T19:53:36.745Z","etag":null,"topics":["kaggle","python3","sqlworkbench","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","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/DbShan25.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,"zenodo":null}},"created_at":"2025-02-17T13:16:37.000Z","updated_at":"2025-03-04T08:27:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"5274fa95-aab8-4f34-b2ba-9f58b3b1531a","html_url":"https://github.com/DbShan25/RODA","commit_stats":null,"previous_names":["dbshan25/roda"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DbShan25/RODA","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DbShan25%2FRODA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DbShan25%2FRODA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DbShan25%2FRODA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DbShan25%2FRODA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DbShan25","download_url":"https://codeload.github.com/DbShan25/RODA/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DbShan25%2FRODA/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272641536,"owners_count":24968802,"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":"2025-08-29T02:00:10.610Z","response_time":87,"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":["kaggle","python3","sqlworkbench","streamlit"],"created_at":"2025-03-16T16:53:07.605Z","updated_at":"2026-04-12T18:57:22.628Z","avatar_url":"https://github.com/DbShan25.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RODA\nRetail Order Data Analysis\n\nUsing Kaggle Api, Python, SQL, Streamlit to analyze and optimize sales performance by identifying key trends, top-performing products, and growth opportunities using a dataset of sales transactions.\nData set is downloaded from: !kaggle datasets download ankitbansal06/retail-orders -f orders.csv\nExtracted zip file using python code in Jupyter Notebook.\nUsed Pandas DataFrame to do the below.\n  -Read the extracted file\n  -Replace the missing values\n  -Standardize the column names for clarity and SQL compatibility\n  -Calculating new fields discount , sale price and profit\n  -Converting datetime field from text\n  -Splitted into 2 different DataFrames, One with Order details and other with location details.\n  -Imported the oridinal dataframe and 2 splitted data frame to SQL database creating new Database and required tables.\n  -Created a foreign key link to the splitted dataframes.\nQueried Key Highlights, Requested Insights and Additional Insights using SQL queries.\nDisplayed the data in StreamLit UI with Data Table/Chart for the SQL queries.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbshan25%2Froda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdbshan25%2Froda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdbshan25%2Froda/lists"}