{"id":22920692,"url":"https://github.com/aaditya29/swiggy-dataset-project","last_synced_at":"2026-05-03T04:31:40.270Z","repository":{"id":224011349,"uuid":"762161003","full_name":"aaditya29/Swiggy-Dataset-Project","owner":"aaditya29","description":"Data Science Project","archived":false,"fork":false,"pushed_at":"2024-02-25T11:34:22.000Z","size":3373,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-07T08:34:33.326Z","etag":null,"topics":["data-science","jupyter","python","swiggy","swiggy-dataset"],"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/aaditya29.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":"2024-02-23T07:53:23.000Z","updated_at":"2024-02-24T03:51:52.000Z","dependencies_parsed_at":"2025-02-07T08:40:49.978Z","dependency_job_id":null,"html_url":"https://github.com/aaditya29/Swiggy-Dataset-Project","commit_stats":null,"previous_names":["aaditya29/swiggy-dataset-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditya29%2FSwiggy-Dataset-Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditya29%2FSwiggy-Dataset-Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditya29%2FSwiggy-Dataset-Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aaditya29%2FSwiggy-Dataset-Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aaditya29","download_url":"https://codeload.github.com/aaditya29/Swiggy-Dataset-Project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246650836,"owners_count":20811989,"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","jupyter","python","swiggy","swiggy-dataset"],"created_at":"2024-12-14T07:16:40.979Z","updated_at":"2026-05-03T04:31:40.226Z","avatar_url":"https://github.com/aaditya29.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Swiggy Data Analysis\n\n## Background Information\n\n\u003e Project of swiggy data science analysis tasks completed using the Python library. \u003cbr\u003e\n\nIn this project we use Python Pandas \u0026 Python Matplotlib to analyze and answer business questions about swiggy sales data.\u003cbr\u003e\n\nWe start by cleaning our data. Tasks during this section include:\n\n- Drop NaN values from DataFrame.\n- Removing rows based on a condition.\n- Change the type of columns (to_numeric, to_datetime, astype).\n\nOnce we have cleaned up our data a bit, we move the data exploration section where we explore 5 high level business questions related to our data:\n\n- What was the best month for sales? How much was earned that month?\n- What city sold the most product?\n- What time should we display advertisemens to maximize the likelihood of customer’s buying product?\n- What products are most often sold together?\n- What product sold the most? Why do you think it sold the most?\n\nTo answer these questions we walk through many different pandas \u0026 matplotlib methods. 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