{"id":22243333,"url":"https://github.com/farhannirzhor/python_eda_project_on_diwali_sales_analysis","last_synced_at":"2026-05-04T09:32:46.073Z","repository":{"id":257431967,"uuid":"858247466","full_name":"farhannirzhor/Python_EDA_Project_on_Diwali_Sales_Analysis","owner":"farhannirzhor","description":"In this project, I was given a sales data. I analyzed their sales data and shared a summary","archived":false,"fork":false,"pushed_at":"2024-09-16T15:39:09.000Z","size":1941,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-10T06:37:06.432Z","etag":null,"topics":["data-cleaning","data-manipulation","exploratory-data-analysis","matplotlib","numpy","pandas","python","seaborn"],"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/farhannirzhor.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":"2024-09-16T15:08:57.000Z","updated_at":"2024-09-18T11:59:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"f43cc8ff-81f9-41a1-8b52-a4600e6d195f","html_url":"https://github.com/farhannirzhor/Python_EDA_Project_on_Diwali_Sales_Analysis","commit_stats":null,"previous_names":["farhannirzhor/python_eda_project_on_diwali_sales_analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/farhannirzhor/Python_EDA_Project_on_Diwali_Sales_Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farhannirzhor%2FPython_EDA_Project_on_Diwali_Sales_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farhannirzhor%2FPython_EDA_Project_on_Diwali_Sales_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farhannirzhor%2FPython_EDA_Project_on_Diwali_Sales_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farhannirzhor%2FPython_EDA_Project_on_Diwali_Sales_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/farhannirzhor","download_url":"https://codeload.github.com/farhannirzhor/Python_EDA_Project_on_Diwali_Sales_Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/farhannirzhor%2FPython_EDA_Project_on_Diwali_Sales_Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32601529,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T22:12:39.696Z","status":"online","status_checked_at":"2026-05-04T02:00:06.625Z","response_time":58,"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":["data-cleaning","data-manipulation","exploratory-data-analysis","matplotlib","numpy","pandas","python","seaborn"],"created_at":"2024-12-03T04:26:00.611Z","updated_at":"2026-05-04T09:32:46.048Z","avatar_url":"https://github.com/farhannirzhor.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Project Description: A company has given me their sales data on diwali. They want me to analyse their sales according to rows and columns and share a summary.\nProject Objective:\n1. Improve customers experience by analyzing sales data\n2. Increase revenue\nProject Learnings:\n1. Performed Data cleaning and manipulation\n2. Performed exploratory data analysis using pandas, matplotlib and seaborn libraries\n3. Improved customers and sales experience by identifying potential customers and most selling product catagories according to states, genders, occupations, age groups\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhannirzhor%2Fpython_eda_project_on_diwali_sales_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffarhannirzhor%2Fpython_eda_project_on_diwali_sales_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffarhannirzhor%2Fpython_eda_project_on_diwali_sales_analysis/lists"}