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Library,Documentation and Information Science Division

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Learn ggplot2 Using Shiny App (Record no. 426559)

MARC details
000 -LEADER
fixed length control field 04837nam a22005055i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9783319530192
-- 978-3-319-53019-2
024 7# -
-- 10.1007/978-3-319-53019-2
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA276-280
072 #7 -
-- UFM
-- bicssc
072 #7 -
-- COM077000
-- bisacsh
072 #7 -
-- UFM
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Moon, Keon-Woong.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Learn ggplot2 Using Shiny App
Medium [electronic resource] /
Statement of responsibility, etc by Keon-Woong Moon.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture 2016.
300 ## -
-- XVI, 351 p. 346 illus., 336 illus. in color.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Use R!,
-- 2197-5736
505 0# -
-- 1 Make a plot by click -- 2 Make a plot by ggplot2 -- 3 Show Data Distribution -- 4 Scatter Plots(I) -- 5 Scatter Plot(II) -- 6 Logistic regression -- 7 Labeling points in a scatter plot -- 8 Making a 2D density plot -- 9 Draw 2-dimensional contours -- 10 Ballloon Plot -- 11 Cleveland Dot Plot -- 12 Wilkinson dot plot -- 13 Bar plot(I) -- 14 Bar plot(II) -- 15 Labelling a bar plot(I) -- 16 Labelling a bar plot(II) -- 17 Line Graph -- 18 Multiplot with error bars -- 19 Boxplot -- 20 Violin plot -- 21 Area plot -- 22 Polar Plot -- 23 Annotations -- 24 Add a Table Annotation -- 25 Adding the Regression Results in Scatter Plot -- 26 Heatmap -- Horizontal Boxplot -- 29 Drawing a Map -- Interactive Plot.
520 ## -
-- This 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. In 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.   This 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. Learn ggplot2 Using Shiny App allows users to Make publication-ready plots in minutes without coding Download plots with desired width, height, and resolution Plot and download plots in png, pdf, and PowerPoint formats, with or without R code and with editable vector graphics Keon-Woong Moon, M.D., Ph.D., 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: R Statistics and Graphs for Medical Papers (2015, Hannarae) and Web-Based Analysis without R in Your Computer (2015, Hannarae).
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Visualization.
650 #0 -
-- Computer graphics.
650 14 -
-- Statistics and Computing/Statistics Programs.
-- http://scigraph.springernature.com/things/product-market-codes/S12008
650 24 -
-- Visualization.
-- http://scigraph.springernature.com/things/product-market-codes/M14034
650 24 -
-- Computer Graphics.
-- http://scigraph.springernature.com/things/product-market-codes/I22013
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9783319530185
776 08 -
-- Printed edition:
-- 9783319530208
830 #0 -
-- Use R!,
-- 2197-5736
856 40 -
-- https://doi.org/10.1007/978-3-319-53019-2
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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