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Carregado porOrlando Mariano
Usando r no visual studio 2017
O documento apresenta R Tools para Visual Studio 2017, descrevendo a linguagem R, as ferramentas disponíveis no Visual Studio para análise de dados e criação de gráficos, como configurar o ambiente de desenvolvimento e referências adicionais.
Usando r no visual studio 2017
- 1. R Tools noVisual Studio 2017 name <- c("Orlando Gomes") title <- c("Microsoft Student Partner(MSP)") medium <- c("https://medium.com/@orlandogomes_13207") linkedin <- c("inkedin.com/in/orlandomariano") facebook <- c("facebook.com/orlandomaiuri") email <- c("orlando.mariano@studentpartner.com")
- 2. Olá , meunome é Orlando Curso Técnico em Informática – Fundação Bradesco; Formado em Redes de Computadores – FIAP; Graduando do 2º Ano de Engenharia Mecatrônica - FIAP; Experiência focada em SharePoint e Power BI; MSDN Tech Advisor; MSP - Microsoft Student Partner; Fã de Pokémon / Futebol.
- 3. Agenda Linguagem R; R Tools para Visual Studio 2017; Montagem do Ambiente; Referencias.
- 4. Linguagem R Linguagem OpenSource, que permite o trabalho com: Algoritmos de Predição - Regressão Linear; - Classificação; - Clustering; - Recomendação. Visualização de Dados e Geração de Gráficos; Criação de Variáveis, Vetores, Matrizes; Manipulação de Tabelas (pacote dplyr).
- 5. R Tools paraVisual Studio 2017 Janela Interativa de R; Intellisense; Plotagens; Gerenciador de Variáveis; Histórico; Intérpretes Aprimorados.
- 6. Montagem do Ambiente .Net Framework 4.5.2 Microsoft R Client Visual Studio Community 2017
- 7. Referencias Documentação: https://docs.microsoft.com/pt-br/visualstudio/rtvs/ Channel 9: https://channel9.msdn.com/Events/Connect/2016/131 Getting Started: https://www.visualstudio.com/pt-br/vs/rtvs/
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- 9. Demo - Explorandoo R no Visual Studio 2017
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Notas do Editor
- #3 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- #4 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- #5 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- #6 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- #7 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.
- #8 Big Data – the size, type, shape of data that business are analyze is changing. Data from sensors: RFID tags in manufacturing, or location data for company’s with large fleets. Data from social media like facebook, twitter, Linked-In – for analyzing the success of a marketing campaign or to assess customer sentiment or to gather feedback to help shape products or services. Public data – traffic or weather feeds, or data published from data.gov initiatives etc Being able to easily tap into these data sources from smarter analytics to drive business insight is a prevalent theme. Consumerization of IT – this is about choice. I as an individual want to work on the device of my choice. From wherever I want to work. This extends beyond devices to include apps and user experiences. I search for information all the time at home on the web, I want to have that same experience at the office. I’ll talk today about how we’re bringing these experiences to the world of data as well.