class: center, middle, inverse, title-slide # Presentation Ninja ## ⚔
with xaringan ### Yihui Xie ### RStudio, Inc. ### 2016/12/12 (updated: 2019-06-13) --- # Names ```r names(xaringan:::list_css()) ``` ``` ## [1] "chocolate-fonts" "chocolate" "default-fonts" ## [4] "default" "duke-blue" "fc-fonts" ## [7] "fc" "hygge-duke" "hygge" ## [10] "kunoichi" "lucy-fonts" "lucy" ## [13] "metropolis-fonts" "metropolis" "middlebury-fonts" ## [16] "middlebury" "ninjutsu" "rladies-fonts" ## [19] "rladies" "robot-fonts" "robot" ## [22] "rutgers-fonts" "rutgers" "shinobi" ## [25] "tamu-fonts" "tamu" "uo-fonts" ## [28] "uo" "uol-fonts" "uol" ``` ```r data("mtcars") library(readr) library(ggplot2) library(dplyr) ``` ``` ## ## Attaching package: 'dplyr' ``` ``` ## The following objects are masked from 'package:stats': ## ## filter, lag ``` ``` ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union ``` --- # Structure ```r str(mtcars) ``` ``` ## 'data.frame': 32 obs. of 11 variables: ## $ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ... ## $ cyl : num 6 6 4 6 8 6 8 4 4 6 ... ## $ disp: num 160 160 108 258 360 ... ## $ hp : num 110 110 93 110 175 105 245 62 95 123 ... ## $ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ... ## $ wt : num 2.62 2.88 2.32 3.21 3.44 ... ## $ qsec: num 16.5 17 18.6 19.4 17 ... ## $ vs : num 0 0 1 1 0 1 0 1 1 1 ... ## $ am : num 1 1 1 0 0 0 0 0 0 0 ... ## $ gear: num 4 4 4 3 3 3 3 4 4 4 ... ## $ carb: num 4 4 1 1 2 1 4 2 2 4 ... ``` --- # Summary `*` ```r *summary(mtcars) ``` ``` ## mpg cyl disp hp ## Min. :10.40 Min. :4.000 Min. : 71.1 Min. : 52.0 ## 1st Qu.:15.43 1st Qu.:4.000 1st Qu.:120.8 1st Qu.: 96.5 ## Median :19.20 Median :6.000 Median :196.3 Median :123.0 ## Mean :20.09 Mean :6.188 Mean :230.7 Mean :146.7 ## 3rd Qu.:22.80 3rd Qu.:8.000 3rd Qu.:326.0 3rd Qu.:180.0 ## Max. :33.90 Max. :8.000 Max. :472.0 Max. :335.0 ## drat wt qsec vs ## Min. :2.760 Min. :1.513 Min. :14.50 Min. :0.0000 ## 1st Qu.:3.080 1st Qu.:2.581 1st Qu.:16.89 1st Qu.:0.0000 ## Median :3.695 Median :3.325 Median :17.71 Median :0.0000 ## Mean :3.597 Mean :3.217 Mean :17.85 Mean :0.4375 ## 3rd Qu.:3.920 3rd Qu.:3.610 3rd Qu.:18.90 3rd Qu.:1.0000 ## Max. :4.930 Max. :5.424 Max. :22.90 Max. :1.0000 ## am gear carb ## Min. :0.0000 Min. :3.000 Min. :1.000 ## 1st Qu.:0.0000 1st Qu.:3.000 1st Qu.:2.000 ## Median :0.0000 Median :4.000 Median :2.000 ## Mean :0.4062 Mean :3.688 Mean :2.812 ## 3rd Qu.:1.0000 3rd Qu.:4.000 3rd Qu.:4.000 ## Max. :1.0000 Max. :5.000 Max. :8.000 ``` --- # Graphs #<< -- ```r ggplot() + geom_histogram(data = mtcars, aes(x = mpg)) ``` ``` ## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`. ``` <!-- --> --- # 2 -- ```r mtcars$vs = as.factor(mtcars$vs) ggplot()+ geom_bar(data = mtcars, aes(x = vs)) ``` <!-- --> --- # 3 -- ```r ggplot() + geom_point(data = mtcars, aes(x = mpg, y = disp)) ``` <!-- -->