Data Visualization with R - GitHub Pages

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.

# import data from a comma delimited file Salaries <- read_csv("salaries.csv") # import data from a tab delimited file Salaries <- read_tsv("salaries.txt") These function assume that the first line of data contains the variable names, values are separated by commas or tabs respectively, and that missing data are represented by blanks.

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