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
data("starwars")
starwars
## # A tibble: 87 × 14
## name height mass hair_color skin_color eye_color birth_year sex gender
## <chr> <int> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
## 1 Luke Sk… 172 77 blond fair blue 19 male mascu…
## 2 C-3PO 167 75 <NA> gold yellow 112 none mascu…
## 3 R2-D2 96 32 <NA> white, bl… red 33 none mascu…
## 4 Darth V… 202 136 none white yellow 41.9 male mascu…
## 5 Leia Or… 150 49 brown light brown 19 fema… femin…
## 6 Owen La… 178 120 brown, gr… light blue 52 male mascu…
## 7 Beru Wh… 165 75 brown light blue 47 fema… femin…
## 8 R5-D4 97 32 <NA> white, red red NA none mascu…
## 9 Biggs D… 183 84 black light brown 24 male mascu…
## 10 Obi-Wan… 182 77 auburn, w… fair blue-gray 57 male mascu…
## # ℹ 77 more rows
## # ℹ 5 more variables: homeworld <chr>, species <chr>, films <list>,
## # vehicles <list>, starships <list>
87 rows and 14 columns
Column 2: Numerical Column 3: Numerical Column 4: Categorical, un-ordered, non-binary Column 5: Categorical, un-ordered, non-binary Column 6: Categorical, un-ordered, non-binary
summary(starwars$height)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 66.0 167.0 180.0 174.6 191.0 264.0 6
6 have unknown height.
summary(starwars$mass)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 15.00 55.60 79.00 97.31 84.50 1358.00 28
28 have unknown weight.
Mean: 174.6 Median: 180
hist( starwars$height, col = "gold", xlab = "Height of characters (in centimeters)" )
Uni modal
Slightly left skewed
Median because there are outliers and the shape of the graph is not symetric.
boxplot(starwars$height, col = "red", xlab = "Height of characters (in centimeters)", horizontal = TRUE)
Median
Many outliers more outliers on the shorter side rather than the taller side.
boxplot(starwars$mass, col = "blue", xlab = "Mass of characters (in kilograms)", horizontal = TRUE)
Jabba Desilijic Tiure was the outlier
191-167=24 24
For the box plot we can see the outliers and estimate the 5 number summary. for the histogram we can see the shape, spread, and how many modes.