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R Visualizations Derive Meaning from Data.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gerbing, David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Milton : CRC Press LLC, 2020.
Temas:
Acceso en línea:Texto completo

MARC

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050 4 |a QA76.9.I52  |b .G473 2020 
082 0 4 |a 001.4226  |2 23 
049 |a UAMI 
100 1 |a Gerbing, David. 
245 1 0 |a R Visualizations  |h [electronic resource] :  |b Derive Meaning from Data. 
260 |a Milton :  |b CRC Press LLC,  |c 2020. 
300 |a 1 online resource (252 p.) 
336 |a text  |2 rdacontent 
336 |a still image  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a Description based upon print version of record. 
505 0 |a Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- 1. Visualize Data -- 1.1 Introduction -- 1.1.1 Visualization and Analytics -- 1.1.2 Open-Source Software for Data Visualization -- 1.2 Data -- 1.2.1 R Objects -- 1.2.2 Employee Data Example -- 1.2.3 Types of Variables -- 1.2.4 Read Data -- 1.2.5 Variable Labels -- 1.2.6 Categorical Variables as Factors -- 1.2.7 Save the Data Frame -- 2. Visualization Quick Start -- 2.1 Visualization Systems -- 2.1.1 Relative Advantages of ggplot2 and lessR -- 2.1.2 Grayscale -- 2.2 Distribution of a Categorical Variable 
505 8 |a 2.2.1 Bar Chart of a Single Variable -- 2.2.2 Bar Charts of Multiple Variables -- 2.3 Distribution of a Continuous Variable -- 2.3.1 Default Histogram -- 2.3.2 Beyond the Histogram -- 2.4 Relation between Two Variables -- 2.4.1 Basic Scatterplot -- 2.4.2 Enhanced Scatterplot -- 2.5 Distribution of Values over Time -- 2.5.1 Time Series -- 2.5.2 Multiple Time Series -- 3. Visualize a Categorical Variable -- 3.1 Bars, Dots, and Bubbles -- 3.1.1 Horizontal Bar Chart of Counts -- 3.1.2 Cleveland Dot Plot of Counts -- 3.1.3 Bubble Plot of Counts -- 3.1.4 Display Proportions 
505 8 |a 3.2 Multiple Plots on a Single Panel -- 3.3 Provide the Numerical Values -- 3.3.1 Bar Chart of Individual Data Values -- 3.3.2 Vertical Long Value Labels -- 3.3.3 Cleveland Dot Plot of Individual Data Values -- 3.3.4 Visualize Means across Categories -- 3.4 Communicate with Bar Fill Color -- 3.4.1 Bar Fill Color Bifurcated by Value of Mean Deviations -- 3.4.2 Bar Chart of an Ordinal Variable -- 3.4.3 Custom Color for Individual Bars -- 3.5 Create a Report from Saved Output -- 3.6 Part-Whole Visualizations -- 3.6.1 Doughnut and Pie Charts -- 3.6.2 The Waffle Plot -- 3.6.3 The Treemap 
505 8 |a 4. Visualize a Continuous Variable -- 4.1 Histogram -- 4.1.1 Binning Continuous Data -- 4.1.2 Histogram Artifacts -- 4.1.3 Cumulative Histogram -- 4.1.4 Frequency Polygon -- 4.2 Density Plot -- 4.2.1 Enhanced Density Plot -- 4.2.2 Overlapping Density Curves -- 4.2.3 Rug Plot -- 4.2.4 Violin Plot -- 4.3 Box Plot -- 4.3.1 Classic Box Plot -- 4.3.2 Box Plot Adjusted for Asymmetry -- 4.4 One-Variable Scatterplot -- 4.5 Integrated Violin/Box/Scatterplot -- 4.5.1 VBS Plot -- 4.5.2 VBS Plot of Likert Data -- 4.5.3 Trellis Plots or Facets -- 4.6 Pareto Chart 
505 8 |a 5. Visualize the Relation of Two Continuous Variables -- 5.1 Enhance the Scatterplot -- 5.1.1 The Ellipse -- 5.1.2 Line of Best Fit -- 5.1.3 Annotate -- 5.2 Consideration of a Third Variable -- 5.2.1 Map Data from a Grouping Variable to Aesthetics -- 5.2.2 Trellis (Facet) Scatterplots -- 5.2.3 Map a Third Continuous Variable into a Visual Aesthetic -- 5.2.4 Plot Multiple Variables on the Same Panel -- 5.3 Inter-Relations of a Set of Variables -- 5.3.1 Scatterplot Matrix -- 5.3.2 Heat Map of a Correlation Matrix -- 5.4 Scatterplots for Large Data Sets -- 5.4.1 Smoothed Scatterplots 
500 |a 5.4.2 Contoured and Hex-Binned Scatterplots 
504 |a Includes bibliographical references and index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Information visualization. 
650 0 |a R (Computer program language) 
650 6 |a Visualisation de l'information. 
650 6 |a R (Langage de programmation) 
650 7 |a Information visualization  |2 fast 
650 7 |a R (Computer program language)  |2 fast 
758 |i has work:  |a R visualizations (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCG7WXF3FJ6TGwF7jyKPCwC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Gerbing, David  |t R Visualizations : Derive Meaning from Data  |d Milton : CRC Press LLC,c2020  |z 9781138599635 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6186640  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6186640 
938 |a YBP Library Services  |b YANK  |n 16752638 
994 |a 92  |b IZTAP