count: false .panel1-the_chunk-auto[ ```r *set.seed(12345) ``` ] .panel2-the_chunk-auto[ ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) *library(tidyverse) ``` ] .panel2-the_chunk-auto[ ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) *mtcars ``` ] .panel2-the_chunk-auto[ ``` mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 ``` ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% * rownames_to_column(var = "model") ``` ] .panel2-the_chunk-auto[ ``` model mpg cyl disp hp drat wt qsec vs am gear carb 1 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 2 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 3 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 4 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 5 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 6 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 7 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 8 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 9 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 10 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 11 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 12 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 13 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 14 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 15 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 16 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 17 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 18 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 19 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 20 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 21 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 22 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 23 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 24 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 25 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 26 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 27 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 28 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 29 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 30 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 31 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 32 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 ``` ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% * ggplot() ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_05_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + * aes(x = wt * 1000) ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_06_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + * aes(y = factor(cyl)) ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_07_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + * ggthemes::theme_solarized() ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_08_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + * geom_boxplot(fill = "snow2") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_09_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + * geom_jitter(height = .2, alpha = .8, * color = "plum3", size = 3) ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_10_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + * labs(y = "Number of Cylinders") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_11_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + * labs(x = "Weight in pounds") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_12_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + labs(x = "Weight in pounds") + * labs(title = "How do number of cylinders and model weight relate?") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_13_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + labs(x = "Weight in pounds") + labs(title = "How do number of cylinders and model weight relate?") + * labs(subtitle = "Motor Trend US magazine's comparison of thirty-two 1973-74 models") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_14_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + labs(x = "Weight in pounds") + labs(title = "How do number of cylinders and model weight relate?") + labs(subtitle = "Motor Trend US magazine's comparison of thirty-two 1973-74 models") + * theme(plot.title.position = "plot") ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_15_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + labs(x = "Weight in pounds") + labs(title = "How do number of cylinders and model weight relate?") + labs(subtitle = "Motor Trend US magazine's comparison of thirty-two 1973-74 models") + theme(plot.title.position = "plot") + * geom_label(data = tibble(x = 1), # one row dataframe * fill = "grey85", x = 4600, * y = 1.2, # cylinder is a factor w 3 levels * label = "These observations aren't part of the 'whiskers' of the Tukey boxplot. Outliers are observations further than 1.5 IQR from the nearer of the upper and lower hinge" %>% * str_wrap(25)) ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_16_output-1.png)<!-- --> ] --- count: false .panel1-the_chunk-auto[ ```r set.seed(12345) library(tidyverse) mtcars %>% rownames_to_column(var = "model") %>% ggplot() + aes(x = wt * 1000) + aes(y = factor(cyl)) + ggthemes::theme_solarized() + geom_boxplot(fill = "snow2") + geom_jitter(height = .2, alpha = .8, color = "plum3", size = 3) + labs(y = "Number of Cylinders") + labs(x = "Weight in pounds") + labs(title = "How do number of cylinders and model weight relate?") + labs(subtitle = "Motor Trend US magazine's comparison of thirty-two 1973-74 models") + theme(plot.title.position = "plot") + geom_label(data = tibble(x = 1), # one row dataframe fill = "grey85", x = 4600, y = 1.2, # cylinder is a factor w 3 levels label = "These observations aren't part of the 'whiskers' of the Tukey boxplot. Outliers are observations further than 1.5 IQR from the nearer of the upper and lower hinge" %>% str_wrap(25)) + * geom_curve(data = tibble(x = 1), * curvature = -.2, * arrow = arrow(length = * unit(0.1, * "inches")), * x = 4550, xend = 5150, * y = 1.85, yend = 2.8, * ) ``` ] .panel2-the_chunk-auto[ ![](an_mtcars_flipbook_embed_files/figure-html/the_chunk_auto_17_output-1.png)<!-- --> ] <style> .panel1-the_chunk-auto { color: black; width: 38.6060606060606%; hight: 32%; float: left; padding-left: 1%; font-size: 80% } .panel2-the_chunk-auto { color: black; width: 59.3939393939394%; hight: 32%; float: left; padding-left: 1%; font-size: 80% } .panel3-the_chunk-auto { color: black; width: NA%; hight: 33%; float: left; padding-left: 1%; font-size: 80% } </style> <style type="text/css"> .remark-code{line-height: 1.5; font-size: 80%} @media print { .has-continuation { display: block; } } code.r.hljs.remark-code{ position: relative; overflow-x: hidden; } code.r.hljs.remark-code:hover{ overflow-x:visible; width: 500px; border-style: solid; } </style>