From c87111bb6cdd7b7e48862719957b64237a9dfd8e Mon Sep 17 00:00:00 2001 From: Laura Amaral Date: Wed, 11 Dec 2024 13:20:31 -0300 Subject: [PATCH 1/3] fix: como-comecar-sua-analise --- ...o-comecar-sua-analise-com-dados-publicos.md | 14 +++++++------- next/blog/pt/construimos-um-novo-site.md | 1 + .../image_1.png | Bin 0 -> 188027 bytes .../image_1.webp | Bin 49540 -> 0 bytes .../image_2.png | Bin 0 -> 316683 bytes .../image_2.webp | Bin 17534 -> 0 bytes .../image_3.png | Bin 0 -> 77142 bytes .../image_3.webp | Bin 15096 -> 0 bytes .../image_4.png | Bin 0 -> 60338 bytes .../image_4.webp | Bin 20314 -> 0 bytes 10 files changed, 8 insertions(+), 7 deletions(-) create mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_1.png delete mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_1.webp create mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_2.png delete mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_2.webp create mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_3.png delete mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_3.webp create mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_4.png delete mode 100644 next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_4.webp diff --git a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md index cdc00646..0e91a8e7 100644 --- a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md +++ b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md @@ -11,7 +11,7 @@ thumbnail: /blog/como-comecar-sua-analise-com-dados-publicos/image_0.webp categories: [tutorial] medium_slug: >- https://medium.com/basedosdados/como-come%C3%A7ar-sua-an%C3%A1lise-com-dados-p%C3%BAblicos-6918e9b888af -published: true +published: false --- ## Introdução @@ -56,7 +56,7 @@ Por isso, tenha essas dicas em mentes na hora de formular a pergunta que vai gui Formular perguntas claras, específicas e mensuráveis vai te poupar tempo e te ajudar ser mais assertivo(a) no problema que sua análise busca solucionar. -Veja [aqui](https://info.basedosdados.org/newsletter/edicoes-anteriores) algumas análises que criamos para nossa newsletter para se inspirar. +Veja [aqui](/blog?category=analise) algumas análises para se inspirar. ## Onde encontrar os dados que preciso? @@ -68,19 +68,19 @@ Pelo nosso site você consegue buscar conjuntos de dados através de palavras-ch Um filtro muito útil é o de **Tabelas tratadas**, isso porque ele seleciona apenas dados que já estejam tratados e organizados em nosso _datalake_ público. - + Uma vez que você já tenha encontrado um conjunto de dados no mecanismo de busca, você pode conferir na parte esquerda da página quais são as tabelas que compõem ele. Veja na imagem. - + Além disso, você pode conferir quais colunas cada tabela possui e a descrição das informações que elas contém. Veja na imagem abaixo - + -Quando você tiver identificado o conjunto, a tabela e as colunas que precisa para sua análise, você pode partir para acessar os dados através do BigQuery, um serviço de banco de dados em nuvem da Google que te permite fazer consultas ao banco em SQL direto do navegador com **rapidez** (mesmo consultas muito longas demoram apenas minutos para serem processadas), **escala** (o BigQuery escala magicamente para hexabytes se necessário) e **economia** (todo usuário possui 1 TB _gratuito por mês para consulta aos dados_). Para chegar até o BigQuery, utilize o link "clique aqui" da página, conforme a imagem abaixo. +Quando você tiver identificado o conjunto, a tabela e as colunas que precisa para sua análise, você pode partir para selecionar as colunas do seu interesse e clicar em Gerar Query para acessar os dados através do BigQuery, um serviço de banco de dados em nuvem da Google que te permite fazer consultas ao banco em SQL direto do navegador com **rapidez** (mesmo consultas muito longas demoram apenas minutos para serem processadas), **escala** (o BigQuery escala magicamente para hexabytes se necessário) e **economia** (todo usuário possui 1 TB _gratuito por mês para consulta aos dados_). Para chegar até o BigQuery, utilize o botão "Acessar o BigQuery" da página, conforme a imagem abaixo. Não se esqueça de copiar o código disponibilizado para puxar apenas as colunas selecionadas com os códigos institucionais já traduzidos! - + ## Criando um projeto no Google Cloud diff --git a/next/blog/pt/construimos-um-novo-site.md b/next/blog/pt/construimos-um-novo-site.md index 7a30939f..eee1ffe4 100644 --- a/next/blog/pt/construimos-um-novo-site.md +++ b/next/blog/pt/construimos-um-novo-site.md @@ -12,6 +12,7 @@ authors: thumbnail: /blog/construimos-um-novo-site/image_0.png categories: [institucional] medium_slug: https://medium.com/@basedosdados/um-site-feito-a-v%C3%A1rias-m%C3%A3os-60ddc9eaa4d3 +published: true --- diff --git a/next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_1.png b/next/public/blog/como-comecar-sua-analise-com-dados-publicos/image_1.png new file mode 100644 index 0000000000000000000000000000000000000000..98b4939b14bdc67f8ee11319aa44b56fa33fc8db GIT binary patch literal 188027 zcmeEuWl&v9v?d7_+}(n^y9Wsp9D=*My9al755e6nxH|`TcZY*JbCP@C)SIbSH8oRH 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13:44:21 -0300 Subject: [PATCH 2/3] fix: blog url --- next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md index 0e91a8e7..657d8013 100644 --- a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md +++ b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md @@ -56,7 +56,7 @@ Por isso, tenha essas dicas em mentes na hora de formular a pergunta que vai gui Formular perguntas claras, específicas e mensuráveis vai te poupar tempo e te ajudar ser mais assertivo(a) no problema que sua análise busca solucionar. -Veja [aqui](/blog?category=analise) algumas análises para se inspirar. +Veja [aqui](https://basedosdados.org/blog?category=analise) algumas análises para se inspirar. ## Onde encontrar os dados que preciso? From 39252fc34185e925655565b59ba6ede7557c399a Mon Sep 17 00:00:00 2001 From: Laura Amaral Date: Wed, 11 Dec 2024 14:23:49 -0300 Subject: [PATCH 3/3] fix: links --- .../como-comecar-sua-analise-com-dados-publicos.md | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md index 657d8013..8ed3a08e 100644 --- a/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md +++ b/next/blog/pt/como-comecar-sua-analise-com-dados-publicos.md @@ -18,13 +18,11 @@ published: false Não é nenhuma novidade que dados públicos são fundamentais para a transparência, responsabilidade governamental e para a participação cidadâ. O acesso a esses dados empodera cidadãos, jornalistas, pesquisadores(as) e organizações da sociedade civil para analisar nossa realidade, monitorar o poder público e identificar problemas e possíveis soluções. Os dados nos ajudam a compreender melhor o mundo e fortalecem a democracia ao garantir que decisões importantes sejam tomadas com base em evidências e de forma transparente. -Porém, ainda existe uma barreira entre a população e o acesso e utilização dessas informações tão cruciais. Trabalhar com dados ainda exige habilidades que não aprendemos na escola, talvez nem mesmo no ensino superior. Infelizmente, essa ferramenta tão poderosa para influenciar positivamente a sociedade ainda é para poucos(as). +Porém, ainda existe uma barreira entre a população e o acesso e utilização dessas informações tão cruciais. Infelizmente, essa ferramenta tão poderosa para influenciar positivamente a sociedade ainda é para poucos(as). **Mas queremos e devemos mudar isso.** -Este artigo foi criado para ajudar a diminuir, ao menos um pouco, essa barreira e ajudar pessoas a navegar melhor em um mundo cada vez mais orientado por dados. Faremos isso introduzindo algumas ferramentas criadas pela ONG Base dos Dados com o mesmo propósito, pensadas exatamente para trazer mais acessibilidade à essas informações que podem ajudar a compreender e melhorar a realidade da nossa sociedade, da sua cidade e até do seu bairro. - -Se esse artigo foi útil para você, pedimos que ajude compartilhando com mais alguém que possa tirar bom proveito dele. Assim, vamos contribuindo, de pouco a pouco, por uma sociedade que se apropria dos dados para construir um futuro melhor. +Este artigo foi criado para ajudar a diminuir, ao menos um pouco, essa barreira e ajudar pessoas a navegar melhor em um mundo cada vez mais orientado por dados. Faremos isso introduzindo algumas ferramentas criadas pela ONG Base dos Dados com o mesmo propósito, pensadas exatamente para trazer mais acessibilidade à essas informações que podem ajudar a compreender e melhorar a realidade da nossa sociedade. @@ -42,7 +40,7 @@ Clique [aqui](https://medium.com/basedosdados/como-funciona-o-sistema-de-inser%C Existem algumas maneiras diferentes de acessar os dados a BD, mas neste artigo vamos focar na mais simples: através de uma consulta SQL no datalake público. -Se quiser aprender como acessar nossos dados com Python ou R, veja nossa documentação por [aqui](https://basedosdados.github.io/mais/#acessando-tabelas-tratadas-bd). +Se quiser aprender como acessar nossos dados com Python ou R, veja nossa documentação por [aqui](https://basedosdados.github.io/sdk/#acessando-tabelas-tratadas-bd). ## Por onde começar a sua análise? @@ -78,7 +76,7 @@ Além disso, você pode conferir quais colunas cada tabela possui e a descriçã -Quando você tiver identificado o conjunto, a tabela e as colunas que precisa para sua análise, você pode partir para selecionar as colunas do seu interesse e clicar em Gerar Query para acessar os dados através do BigQuery, um serviço de banco de dados em nuvem da Google que te permite fazer consultas ao banco em SQL direto do navegador com **rapidez** (mesmo consultas muito longas demoram apenas minutos para serem processadas), **escala** (o BigQuery escala magicamente para hexabytes se necessário) e **economia** (todo usuário possui 1 TB _gratuito por mês para consulta aos dados_). Para chegar até o BigQuery, utilize o botão "Acessar o BigQuery" da página, conforme a imagem abaixo. Não se esqueça de copiar o código disponibilizado para puxar apenas as colunas selecionadas com os códigos institucionais já traduzidos! +Quando você tiver identificado o conjunto, a tabela e as colunas que precisa para sua análise, você pode partir para selecionar as colunas do seu interesse e clicar em Gerar Query. Esse botão vai montar uma query SQL para você acessar os dados através do BigQuery, um serviço de banco de dados em nuvem da Google que te permite fazer consultas direto do navegador com **rapidez** (mesmo consultas muito longas demoram apenas minutos para serem processadas), **escala** (o BigQuery escala magicamente para hexabytes se necessário) e **economia** (todo usuário possui 1 TB _gratuito por mês para consulta aos dados_). Para chegar até o BigQuery, utilize o botão "Acessar o BigQuery" da página, conforme a imagem abaixo. Não se esqueça de copiar o código disponibilizado para puxar apenas as colunas selecionadas com os códigos institucionais já traduzidos! @@ -168,7 +166,7 @@ Abaixo você encontra uma seção com diversos links úteis para seu trabalho e ## Links úteis -- [Salve nossa documentação para consultar quando tiver dúvidas;](https://basedosdados.github.io/mais/) +- [Salve nossa documentação para consultar quando tiver dúvidas;](https://basedosdados.github.io/sdk/) - [Assine gratuitamente nossa BDleter para receber mensalmente nossas novidades;](https://info.basedosdados.org/newsletter) - [Conheçã nosso Curso de Análise de Dados com SQL para se aprofundar e dominar uma das linguagens mais utilizadas no mercado;](https://info.basedosdados.org/bd-edu-sql) - [Se inscreva em nosso canal no YouTube](https://www.youtube.com/@BasedosDados) e siga a gente no [instagram](https://www.instagram.com/basedosdados/), [linkedin](https://www.linkedin.com/company/base-dos-dados/mycompany/) e [twitter](https://chat.whatsapp.com/CLLFXb1ogPPDomCM6tQT22). @@ -180,4 +178,4 @@ Abaixo você encontra uma seção com diversos links úteis para seu trabalho e - [Análise de dados com o BigQuery](https://cloud.google.com/bigquery/docs/query-overview?hl=pt-br) - [O que é o BigQuery?](https://cloud.google.com/bigquery/docs/introduction?hl=pt-br) - [Tipos de datas SQL](https://www.w3schools.com/sql/sql_dates.asp) -- [Gerenciando datas com diferentes SQL](https://drive.google.com/file/d/11NE9Faqltyl-ZePovy2ThfLo2ALrqGLF/view?usp=sharing) +- [Gerenciando datas com diferentes funções do SQL](https://drive.google.com/file/d/11NE9Faqltyl-ZePovy2ThfLo2ALrqGLF/view?usp=sharing)