Linguagem r no power bi
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Apresentação sobre integração entre R e Power BI
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Linguagem r no power bi
- 1. Orlando Gomes Microsoft Student Partner (MSP) https://medium.com/@orlandogomes_13207 linkedin.com/in/orlandomariano https://www.facebook.com/orlandomaiuri orlando.mariano@studentpartner.com
- 2. Olá , meu nome 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 Power BI; Linguagem R; Referencias; Demo.
- 4. Power BI Ferramenta de Business Inteligence da Microsoft, onde por meio do mesmo, podemos realizar a entrega de analises de mercado por meio de Gráficos e Dashboards
- 5. Principais Elementos Desktop MobileServices Embedded • Web-based • Allplatforms • Limiteddesign tools • Limiteddata sources • Dashboards • Publishing • Windowsonly • Robustdesign tools • Queryand modelingtools • Cross-platform • Reportviewers • Report integration • RESTservices • Createcustom visualizations
- 6. Linguagem R Linguagem Open Source, 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).
- 7. Linguagem R (Peso x Consumo)
- 8. Referencias Canal .Net: https://www.youtube.com/channel/UCIahKJr2Q50Sprk5ztPGnVg CodingNight: https://www.youtube.com/channel/UCLoVnmvp0fYn-BCK7yKTxUQ Usando a Linguagem R no Power BI https://www.youtube.com/watch?v=oR3uGv442HM Create Power BI visuals using R https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-r-visuals/ Kaggle http://kaggle.com/
Notas do Editor
- 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.
- 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.
- 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.
- Power BI is a high-level name for Microsoft’s Power BI Services and Tools Suite. In general, all tools draw on the underlying foundation of Power BI Services, which is exposed to users via a web-based design and administration experience. More powerful features are available in the Power BI Desktop application targeting the Windows platform, and mobile versions of Power PI exist for Windows Mobile, iOS, and Android devices that enable end users to interactively access and navigate report and dashboard information. Developer and administrators can also exposed the services of Power BI via Power BI embedded which includes a robust REST-based API as well as tools to create custom visualizations.
- 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.
- 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.
- 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.