Learn ggplot2 Using Shiny App (Record no. 426559)
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000 -LEADER | |
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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 |
-- | |
-- | 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) |
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