{"id":16509470,"url":"https://github.com/jtemporal/tad-pandas","last_synced_at":"2026-07-09T13:31:28.084Z","repository":{"id":78994884,"uuid":"119057075","full_name":"jtemporal/tad-pandas","owner":"jtemporal","description":"Assista o vídeo:","archived":false,"fork":false,"pushed_at":"2018-01-26T21:40:14.000Z","size":175,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-10-27T22:43:25.821Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://youtu.be/W9hP5MJXesU","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/jtemporal.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":"2018-01-26T13:52:16.000Z","updated_at":"2019-11-28T03:29:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"ea20dc2e-50b4-453a-be4e-65bbc55185c2","html_url":"https://github.com/jtemporal/tad-pandas","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jtemporal/tad-pandas","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Ftad-pandas","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Ftad-pandas/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Ftad-pandas/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Ftad-pandas/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jtemporal","download_url":"https://codeload.github.com/jtemporal/tad-pandas/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Ftad-pandas/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281355366,"owners_count":26486896,"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":"2025-10-27T02:00:05.855Z","response_time":61,"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":[],"created_at":"2024-10-11T15:50:42.976Z","updated_at":"2025-10-27T22:43:26.344Z","avatar_url":"https://github.com/jtemporal.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TAD: Pandas\n\nO material desse TAD foi retirado do [Tutorial de Introdução aos Módulos de Análise de Dados](https://github.com/leportella/tutorial-modulos-data-science) produzido pela @leportella e @jtemporal\n\nEsse TAD vai ser apresentado pela @jtemporal e a @paulinhacnn\n\n**Configurações de ambiente**: Python3, Pandas, Numpy, Scipy, Matplotlib, Jupyter Notebook (ou Anaconda que cobre todos os anteriores)\n\n**Pré-requisitos**: conhecimento mínimo da linguagem (loops, condicionais, variáveis, etc)\n\n**Idioma**: Português\n\n## Tópicos abordados:\n\n* Noções básicas do Jupyter Notebook\n* Ler e trabalhar com planilhas csv\n* Separação de dados\n* Análises estatísticas básicas (média, moda, mediana, desvio padrão...)\n* Trabalhando com dados inexistentes (substituição de dados, NaN, interpolação linear)\n* Desenvolvimento de gráficos (histograma, análise no tempo, gráficos com dois eixos...)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtemporal%2Ftad-pandas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjtemporal%2Ftad-pandas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtemporal%2Ftad-pandas/lists"}