Transcription of Data Visualization with R - GitHub Pages
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data Visualization with RRob Kabacoff2018-09-032 ContentsWelcome7 Preface9 How to use this book..9 Prequisites..10 Setup..101 data Importing data .. Cleaning data ..122 Introduction to A worked example.. Placing thedataandmappingoptions.. Graphs as objects..323 Univariate Categorical.. Quantitative..514 Bivariate Categorical vs. Categorical.. Quantitative vs. Quantitative.. Categorical vs. Quantitative..795 Multivariate Grouping..1036 Dot density maps.. Choropleth maps..11934 CONTENTS7 Time-dependent Time series.. Dummbbell charts.. Slope graphs.. Area Charts..1358 Statistical Correlation plots.. Linear Regression.. Logistic regression.. Survival plots.. Mosaic plots..1509 Other 3-D Scatterplot.. Biplots.. Bubble charts.. Flow diagrams.. Heatmaps.. Radar charts.. Scatterplot matrix.. Waterfall charts.. Word clouds..18010 Customizing Axes.
dplyr summarize summarize data dplyr group_by identify subgroups for further processing tidyr gather convert wide format dataset to long format tidyr spread convert long format dataset to wide format. 1.2. CLEANING DATA 13 Examples in this section will use the starwars dataset from the dplyr package. The dataset provides
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