{"id":18729474,"url":"https://github.com/hugo-hattori/mini_dataanalysis_project","last_synced_at":"2025-06-27T03:33:02.868Z","repository":{"id":182153105,"uuid":"668025309","full_name":"Hugo-Hattori/Mini_DataAnalysis_Project","owner":"Hugo-Hattori","description":"Data Analysis Project.","archived":false,"fork":false,"pushed_at":"2023-11-06T21:58:53.000Z","size":53,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-28T14:36:40.878Z","etag":null,"topics":["data-analysis","data-analysis-python","data-analytics","jupyter","jupyter-notebook","pandas","pandas-dataframe","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Hugo-Hattori.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2023-07-18T21:02:33.000Z","updated_at":"2024-02-05T19:42:55.000Z","dependencies_parsed_at":"2023-11-07T03:46:16.491Z","dependency_job_id":null,"html_url":"https://github.com/Hugo-Hattori/Mini_DataAnalysis_Project","commit_stats":null,"previous_names":["hugo-hattori/mini_dataanalysis_project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hugo-Hattori%2FMini_DataAnalysis_Project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hugo-Hattori%2FMini_DataAnalysis_Project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hugo-Hattori%2FMini_DataAnalysis_Project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hugo-Hattori%2FMini_DataAnalysis_Project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Hugo-Hattori","download_url":"https://codeload.github.com/Hugo-Hattori/Mini_DataAnalysis_Project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239599040,"owners_count":19665911,"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-analysis","data-analysis-python","data-analytics","jupyter","jupyter-notebook","pandas","pandas-dataframe","python"],"created_at":"2024-11-07T14:27:19.142Z","updated_at":"2025-02-19T04:53:37.412Z","avatar_url":"https://github.com/Hugo-Hattori.png","language":"Jupyter Notebook","readme":"# Mini Data Analysis Project\n\u003cp\u003eThis is a small project developed for the purpose of learning and training Pandas package\napplications for Data Analysis.\u003c/p\u003e\n\n## About the database\n\u003cp\u003eFor this project there are three database sources originated from a service provider company:\u003c/p\u003e\n\n+ CadastroFuncionarios.csv\n+ CadastroClientes.csv\n+ BaseServiçosPrestados.xlsx\n\n\u003cp\u003eThe first .csv file is a database containing the company's employees information\nsuch as name, salary and work area. The second .csv file contains information regarding\neach client's name and their monthly contract price. The .xlsx file includes the information\nrelated to the company's orders such as, which employee was responsible for each order, \nwhich client signed each contract, how many months the client has signed for.\u003c/p\u003e\n\n## Analysis Objective\n\u003cp\u003e This analysis has the objective of identifying six indicators:\u003c/p\u003e\n\n1) Total Payroll Value\n2) Company's Total Revenue\n3) The percentage of employees that have successfully signed a contract\n4) Total sales each area of the company has made\n5) Number of employees per company area\n6) Average Monthly Revenue\n\n\u003cp\u003eNote: this is a project developed for academic purposes, therefore the\ndata contained in \"CadastroFuncionarios.csv\", \"CadastroClientes.csv\" and\n\"BaseServiçosPrestados.xlsx\" files are fictitious and used only to learn\nPandas packages applications.\u003c/p\u003e","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhugo-hattori%2Fmini_dataanalysis_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhugo-hattori%2Fmini_dataanalysis_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhugo-hattori%2Fmini_dataanalysis_project/lists"}