{"product_id":"learn-ggplot2-using-shiny-app-paperback","title":"Learn Ggplot2 Using Shiny App - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKeon-Woong Moon\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.\u003cbr\u003eIn widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. \u003cbr\u003eThis manual--\"integrating\" R, ggplot2, and Shiny--introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone.\u003cbr\u003e\u003ci\u003eLearn ggplot2 Using Shiny App \u003c\/i\u003eallows users to\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMake publication-ready plots in minutes without coding\u003c\/li\u003e\n\u003cli\u003eDownload plots with desired width, height, and resolution\u003c\/li\u003e\n\u003cli\u003ePlot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding.\u003cbr\u003eIn widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many users find R to have a steep learning curve but to be extremely useful once overcome. ggplot2 is an extremely popular package tailored for producing graphics within R but which requires coding and has a steep learning curve itself, and Shiny is an open source R package that provides a web framework for building web applications using R without requiring HTML, CSS, or JavaScript. \u003cbr\u003eThis manual--\"integrating\" R, ggplot2, and Shiny--introduces a new Shiny app, Learn ggplot2, that allows users to make plots easily without coding. With the Learn ggplot2 Shiny app, users can make plots using ggplot2 without having to code each step, reducing typos and error messages and allowing users to become familiar with ggplot2 code. The app makes it easy to apply themes, make multiplots (combining several plots into one plot), and download plots as PNG, PDF, or PowerPoint files with editable vector graphics. Users can also make plots on any computer or smart phone.\u003cbr\u003e\u003ci\u003eLearn ggplot2 Using Shiny App \u003c\/i\u003eallows users to\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMake publication-ready plots in minutes without coding\u003c\/li\u003e\n\u003cli\u003eDownload plots with desired width, height, and resolution\u003c\/li\u003e\n\u003cli\u003ePlot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eKeon-Woong Moon, M.D., Ph.D., \u003c\/b\u003e is Professor of Cardiology at the Catholic University of Korea and serves as the Director of Cardiology at St. Vincent's hospital. In 2014, he completed the Data Science Specialization course authorized by Johns Hopkins University offered through Coursera. Recently he developed four R packages (mycor, moonBook, ztable, and ggiraphExtra) for distribution on CRAN. He has taught residents, fellows, and junior staff about R and ggplot2 for many years, and he is the author of two books in Korean: \u003ci\u003eR Statistics and Graphs for Medical Papers \u003c\/i\u003e(2015, Hannarae) and \u003ci\u003eWeb-Based Analysis without R in Your Computer \u003c\/i\u003e(2015, Hannarae).\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eKeon-Woong Moon, M.D., Ph.D., \u003c\/b\u003e is Professor of Cardiology at the Catholic University of Korea and serves as the Director of Cardiology at St. Vincent's hospital. In 2014, he completed the Data Science Specialization course authorized by Johns Hopkins University offered through Coursera. Recently he developed four R packages (mycor, moonBook, ztable, and ggiraphExtra) for distribution on CRAN. He has taught residents, fellows, and junior staff about R and ggplot2 for many years, and he is the author of two books in Korean: \u003ci\u003eR Statistics and Graphs for Medical Papers \u003c\/i\u003e(2015, Hannarae) and \u003ci\u003eWeb-Based Analysis without R in Your Computer \u003c\/i\u003e(2015, Hannarae).\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 351\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 25, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493316948275,"sku":"9783319530185","price":168.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/RjFtTEVLYkNuakZqZEhTOGlUakFTQT09.webp?v=1759949827","url":"https:\/\/www.vysn.com\/en-ca\/products\/learn-ggplot2-using-shiny-app-paperback","provider":"VYSN","version":"1.0","type":"link"}