{"id":22061882,"url":"https://github.com/sermonzagoto/data_manipulation_with_pandas","last_synced_at":"2026-05-09T00:39:41.737Z","repository":{"id":207131667,"uuid":"282112220","full_name":"sermonzagoto/Data_Manipulation_with_Pandas","owner":"sermonzagoto","description":"Data Manipulation with Pandas - Part 1","archived":false,"fork":false,"pushed_at":"2020-07-24T03:33:20.000Z","size":155,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-28T23:29:34.139Z","etag":null,"topics":["data-analysis","data-science","jupyter-notebook","pandas-python","python"],"latest_commit_sha":null,"homepage":"https://github.com/sermonzagoto/Data_Manipulation_with_Pandas","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/sermonzagoto.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}},"created_at":"2020-07-24T03:21:57.000Z","updated_at":"2020-07-26T10:31:50.000Z","dependencies_parsed_at":"2023-11-14T09:27:57.791Z","dependency_job_id":"e9053464-5919-4de1-8316-da1673938f67","html_url":"https://github.com/sermonzagoto/Data_Manipulation_with_Pandas","commit_stats":null,"previous_names":["sermonzagoto/data_manipulation_with_pandas"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sermonzagoto%2FData_Manipulation_with_Pandas","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sermonzagoto%2FData_Manipulation_with_Pandas/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sermonzagoto%2FData_Manipulation_with_Pandas/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sermonzagoto%2FData_Manipulation_with_Pandas/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sermonzagoto","download_url":"https://codeload.github.com/sermonzagoto/Data_Manipulation_with_Pandas/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245139431,"owners_count":20567177,"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-science","jupyter-notebook","pandas-python","python"],"created_at":"2024-11-30T18:16:04.557Z","updated_at":"2026-05-09T00:39:36.704Z","avatar_url":"https://github.com/sermonzagoto.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data_Manipulation_with_Pandas\nKali ini saya membagikan hasil pengerjaan saya terkait dengan module Data Manipulation with Pandas - Part 1 dari DQLab dengan mentor Kak Karl Christian sebagai Business Intelligence Traveloka.\n\nAda 5 hal yang dipelajari dan saya kerjakan dari Data Manipulation with Pandas - Part 1, yaitu:\n1. Introduction to Pandas\n2. Dataset I/O\n3. Indexing, Slicing, dan Transforming\n4. Handling Missing Values\n5. Mini Project\n\nUntuk mengunduh hasil project saya di folder ini, Anda dapat menjalankan perintah berikut di terminal Anda:\ngit clone https://github.com/sermonzagoto/Data_Manipulation_with_Pandas.git\nAtau meng-klik tombol hijau bertuliskan \"Code\" dan \"Download ZIP\" di bagian kanan atas halaman ini.\n\n# ⚙️ Instalasi\nUntuk menggunakan ekstensi **.ipynb** project saya, pastikan perangkat anda baik itu Laptop atau PC sudah terinstall jupyter notebook. Kebetulan saya menggunakan Google Collaboratory untuk mengerjakan project ini\n\n# ⚖️ Lisensi\nKarya ini sudah memiliki lisensi MIT License https://opensource.org/licenses/MIT. Untuk mengetahui lebih lanjut, silahkan kunjungi https://opensource.org/licenses/MIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsermonzagoto%2Fdata_manipulation_with_pandas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsermonzagoto%2Fdata_manipulation_with_pandas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsermonzagoto%2Fdata_manipulation_with_pandas/lists"}