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Análise de Dados Financeiros e Econômicos com o R
Paperback
Publisher: Independently Published
Published: Feb 15 2021
Pages: 450
Weight: 1.71
Height: 0.91 Width: 7.01 Depth: 10.00
Language: Portuguese
Este livro introduz o leitor ao uso do R e RStudio como plataforma de análise de dados financeiros e econômicos. O livro apresenta toda a base de conhecimento necessária para utilizar o R, desde a sua instalação até a criação de códigos de pesquisa. O livro está organizado com exemplos práticos de uso do código que contextualizam e facilitam o aprendizado em cada etapa do processo.
Aprenderás o seguinte com este livro:
- Usar o R e RStudio O capÃtulo 01 apresenta, discute e justifica o uso do R como uma plataforma de programação desenhada para resolver problemas relacionados a dados. No capÃtulo 02 exploraremos os comandos básicos R e os recursos do RStudio, incluindo criação de objetos, execução de scripts, interação com o disco rÃgido do computador, e muito mais.
- Importação de dados financeiros e econômicos Nos capÃtulos 04 e 05 vamos aprender a importar dados de arquivos locais, tal como uma planilha do Excel, ou então da internet. Aprenderemos a tirar proveito da modularidade do R e, quando necessário, instalar pacotes que permitam o download de dados diversos tal como preços de ações, Ãndices econômicos, curva de juros, dados financeiros de empresas e muito mais.
- Limpar, estruturar e analisar dados Nos capÃtulos 06 e 07 iremos estudar o ecossistema de objetos do R. Aprenderemos a manipular objetos tal como vetores numéricos, datas e tabelas inteiras. Nos capÃtulo 08 e 09 vamos estudar o uso de ferramentas de programação para resolver problemas com dados incluindo limpeza, reestruturação e também análise.
- Visualização de dados No capÃtulo 10 aprenderemos a usar o pacote ggplot2 para criar visualizações do conjunto de dados, incluindo os casos mais comuns em finanças e economia, séries temporais e gráficos estatÃsticos.
- Analisar dados com econometria No capÃtulo 11 aprenderemos a usar os modelos econométricos mais populares em finanças e economia, incluindo o modelo linear, GLM, Arima e outros. Isto inclui simulação, teste de hipóteses e estimação de modelos para diversas séries de dados reais.
- Reporte de resultados No capÃtulo 12 veremos como reportar os resultados de sua pesquisa para um documento externo com a exportação fácil e reproduzÃvel de tabelas e figuras. O conteúdo também inclui uma seção sobre a inovadora tecnologia _RMarkdown_, a qual permite que código e texto sejam compilados conjuntamente.
- Melhorando o seu código No último capÃtulo do livro vamos discutir as melhores práticas de programação, incluindo análise do perfil de execução do código R, destacando pontos de gargalo e melhoria do tempo de execução com estratégias de cacheamento local, uso de código C++ e processamento paralelo.
Todos os capÃtulos incluem códigos que podem ser replicados no computador do leitor. Um pacote chamado adfeR foi desenvolvido para facilitar o acesso a todo o material do livro. ExercÃcios de final de capÃtulo, e suas soluções, estão disponÃveis no site do livro.
Este livro é recomendado a profissionais e alunos de pós-graduação que tenham interesse em aprender a utilizar o R. Não é necessário nenhum conhecimento prévio de programação para aproveitar o material. Após a leitura, é esperado que o leitor tenha o conhecimento suficiente para desenvolver suas própria pesquisa de forma autônoma, seja essa a confecção de documentos acadêmicos ou então o trabalho de pesquisa em empresas públicas e privadas.
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