Some of the code from Chapter 4, Section 1.
In this chapter dplyr is introduced. We will be using dplyr all year.
The main idea of data wrangling with dplyr are the 5 verbs.
select() # take a subset of columns
filter() # take a subset of rows
mutate() # add or modify existing columns
arrange() # sort the rows
summarize() # aggregate the data across rows
The dplyr package is part of the tidyverse. We will install and load the tidyverse.
library(mdsr)
library(tidyverse)
Star Wars dataset
data("starwars")
glimpse(starwars)
Observations: 87
Variables: 13
$ name [3m[38;5;246m<chr>[39m[23m "Luke Skywalker", "C-3PO", "R2-D2", "Darth Vader", "Leia Organa"…
$ height [3m[38;5;246m<int>[39m[23m 172, 167, 96, 202, 150, 178, 165, 97, 183, 182, 188, 180, 228, 1…
$ mass [3m[38;5;246m<dbl>[39m[23m 77.0, 75.0, 32.0, 136.0, 49.0, 120.0, 75.0, 32.0, 84.0, 77.0, 84…
$ hair_color [3m[38;5;246m<chr>[39m[23m "blond", NA, NA, "none", "brown", "brown, grey", "brown", NA, "b…
$ skin_color [3m[38;5;246m<chr>[39m[23m "fair", "gold", "white, blue", "white", "light", "light", "light…
$ eye_color [3m[38;5;246m<chr>[39m[23m "blue", "yellow", "red", "yellow", "brown", "blue", "blue", "red…
$ birth_year [3m[38;5;246m<dbl>[39m[23m 19.0, 112.0, 33.0, 41.9, 19.0, 52.0, 47.0, NA, 24.0, 57.0, 41.9,…
$ gender [3m[38;5;246m<chr>[39m[23m "male", NA, NA, "male", "female", "male", "female", NA, "male", …
$ homeworld [3m[38;5;246m<chr>[39m[23m "Tatooine", "Tatooine", "Naboo", "Tatooine", "Alderaan", "Tatooi…
$ species [3m[38;5;246m<chr>[39m[23m "Human", "Droid", "Droid", "Human", "Human", "Human", "Human", "…
$ films [3m[38;5;246m<list>[39m[23m [<"Revenge of the Sith", "Return of the Jedi", "The Empire Stri…
$ vehicles [3m[38;5;246m<list>[39m[23m [<"Snowspeeder", "Imperial Speeder Bike">, <>, <>, <>, "Imperia…
$ starships [3m[38;5;246m<list>[39m[23m [<"X-wing", "Imperial shuttle">, <>, <>, "TIE Advanced x1", <>,…
select()
starwars %>% select(name, species)
filter()
starwars %>%
filter(species == "Droid")
select()
starwars %>%
select(name, ends_with("color"))
mutate()
starwars %>%
mutate(name, bmi = mass / ((height / 100) ^ 2)) %>%
select(name:mass, bmi)
arrange()
starwars %>%
arrange(desc(mass))
summarize()
starwars %>%
group_by(species) %>%
summarise(
n = n(),
mass = mean(mass, na.rm = TRUE)
) %>%
filter(n > 1)
Questions
Develop the R code to answer the following questions.
- How many films are in the dataset?
starwars %>% select(films) %>%
unlist() %>%
unique()
[1] "Revenge of the Sith" "Return of the Jedi" "The Empire Strikes Back"
[4] "A New Hope" "The Force Awakens" "Attack of the Clones"
[7] "The Phantom Menace"
- Are there more Droids or humans in the Star Wars movies? There are 5 Droids and 35 Humans. So more Humans.
starwars %>% select(species) %>%
filter(species=="Droid" | species=="Human") %>%
group_by(species) %>%
summarize(n=n())
NA
- Which of the Star Wars movies was Luke Skywalker in?
starwars %>% filter(name=="Luke Skywalker") %>%
select(films) %>%
unlist()
films1 films2 films3
"Revenge of the Sith" "Return of the Jedi" "The Empire Strikes Back"
films4 films5
"A New Hope" "The Force Awakens"
- Pose a question and answer it by wrangling the starwars dataset.
What was the distribution of hights? What was the distribution of hights by species?
starwars %>% ggplot(aes(x=height)) +
geom_histogram()
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAACVVBMVEUAAAACAgIDAwMEBAQHBwcICAgJCQkLCwsMDAwNDQ0ODg4PDw8RERESEhIVFRUWFhYXFxcYGBgZGRkaGhobGxsdHR0eHh4fHx8gICAhISEjIyMkJCQlJSUoKCgpKSktLS0vLy8wMDAxMTEyMjIzMzM2NjY3Nzc4ODg5OTk6Ojo7Ozs9PT0+Pj4/Pz9AQEBBQUFDQ0NFRUVHR0dISEhJSUlKSkpMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRXV1dYWFhZWVlaWlpbW1tcXFxdXV1gYGBhYWFiYmJlZWVmZmZoaGhpaWlra2ttbW1vb29xcXF0dHR1dXV3d3d4eHh5eXl6enp7e3t9fX1+fn5/f3+BgYGCgoKFhYWHh4eKioqLi4uMjIyNjY2RkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiampqcnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrK0tLS2tra4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnLy8vMzMzNzc3Ozs7Pz8/S0tLT09PU1NTV1dXX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7///9UGZ0nAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAR0UlEQVR4nO3d+39kdX3H8Zh6qQhoW7TFS9WaegHxgkq2AsW9gAUUcL3hqivqFlxUZJWquEqrtLpellJqAVmtCpSL0Yjs5jqZzGQy+f5dnewmeXw/YXifc77nO+d7Tvb1+mHZMJlPzuc7z0cek+jjMOaIGtpY6gsgCg281NjAS40NvNTYwEuNDbzU2IriXQhtaSn4qaZepDmdSGO6ceYsL0YZ0+pFmtOOMmahuxxnzrZXKxDvs6EtLgQ/1e+kW4wy59lunDGdXpw5y6eijJlzM1HmzC5FGfPsajvOnG2vFnijBF4ZeP3AKwMvePMHXhl4/cArAy948wdeGXj9wCsDL3jzB14ZeP3AKwMvePMHXhl4/cArAy948wdeGXj9wCsDL3jzB14ZeP3AKwMvePMHXhl4/cArAy948xcH7+4hBQ0CL3jzB14ZeP3AKwMvePMHXhl4/cArAy948wdeGXj9wCsDL3jzB14ZeP3AKwMvePMHXhl4/cArAy948wdeWb3wtkLrdIKfanKR5qzGGdPrx5gyDG/QoGXXjnE9rfZKlDGtfqQ59tUKvUvkXGjtpeCn+s27dpQ5c704Y1ZWY0wZhjdoUMstxrieucVOlDFz/Uhz7Ks1G4g3+Bs/bxtEvG3IiPe8JvCqwGsCrwi8GYHXBF4VeE3gFYE3I/CawKsCrwm8IvBmBF4TeFXgNYFXBN6MwGsCrwq8JvCKwJsReE3gVYHXBF5RTrzZnwZe8OYPvDLw+oEXvOAFrwq8JvCKwJsReE3gVYHXBF4ReDMCrwm8KvCawCsCb0bgNYFXBV4TeEXgzQi8JvCqwGsCrwi8GYHXBF4VeE3gFYE3I/CawKsCrwm8IvBmBF4TeFXgNYFXBN6MwGsCrwq8JvCKwJsReE3gVYHXBF4ReDMCrwm8KvCawCsCb0bgNYFXBV4TeEXgzQi8JvCqwGsCrwi8GYHXBF4VeE3gFYE3I/CawKsCrwm8IvBmBF4TeFXgNYFXBN6MwGsCrwq8JvCKwJsReE3gVYHXBF4ReDMCrwm8KvCawCsCb0bgNYFXBV4TeEXgzQi8JvCqwGsCrwi8GYHXBF4VeE3gFYE3I/CawKsCrwm8IvBmBF4TeFU7AG/v2tbgz4c/dPVtPfAOD7yydHh/sH9ygHdpz2+6B+4B7/DAK0uH95EH3j/Ae/yAcw/tH3y4dPTo0ROLoXWWg59qcp04c3qRxqzGmDJMZdCntd1SjOtZXOpGGbPYX4kzx75a83neNrgrBni/+yXnpj44+GB6YmLikPx0CmyYypylvvQUdTf+mQPv4QHeawYf9Ofn5zsnQ2stBj/V75SLM+dkN86YTi/GlBJ47aB5Nxvjek7OtaOMObm6HGfOtlcrN97jn3buFx/Z/DfB71p4zysqgdcO4j2vxbu0d2rt4PfAOzzwylLjdQ99+Lpb+VXZ8wReGf8jhR94wQte8KrAawKvCLwZgdcEXhV4TeAVgTcj8JrAqwKvCbwi8GYEXhN4VeA1gVcE3ozAawKvCrwm8IrAmxF4TeBVgdcEXhF4MwKvCbwq8JrAKwJvRuA1gVcFXhN4ReDNCLwm8KrAawKvCLwZgdcEXhV4TeAVgTcj8JrAqwKvCbwi8GYEXhN4VeA1gVcE3ozAawKvCrwm8IrAmxF4TeBVgdcEXhF4MwKvCbwq8JrAKwJvRuA1gVcFXhN4ReDNCLwm8KrAawKvCLwZgdcEXhV4TeAVgTcj8JrAqwKvCbwi8GYEXhN4VeA1gVcE3ozAawKvCrwm8IrAmxF4TeBVgdcEXhF4MwKvCbwq8JrAKwJvRuA1gVcFXhN4ReDNCLymavCWUAleL/CawKsCrwm84A0PvCbwqsBrAi94wwOvCbwq8JrAC97wwGsCrwq8JvCCNzzwmsCrAq8JvOAND7wm8Kp2Jt52aN1u8FNNLtKc1Uhj+vLh0eO1X6/jOlHW6vSijGmvRZpjX62FQLwzobVawU/1m3VLUebMrMQZ0+3Jh0eP1369BTcfZa355ShjZvqdOHPsq3UqEG/wN37eNowm+/V42wDe/IFXBl4/8IIXvOBVgdcEXvCGB14TeFXgNYEXvOGB1wReVePwXnr6z5krwFsg8MoqwnvLLWO3rHf9eeAtEHhlFeG96KKxi9a7+KvgLRB4ZZW9bZiQasE7NPDKqvuBrf3oeo+Dt0DglVWG91svHFvvxeAtEHhlleG98Oan/EfAmyfwyirD+zc9yRa8wwKvrDK8//h/4C0ceGWV4b3/kluP3TcIvAUCr6wyvOMbgbdA4JXx/23wAy94h+GdPdPCULTgHR54ZZXhHTvTm8FbIPDKKsP7v4Me/vIbfgneAoFXVvF73nvfCd4CgVdWMd4Tfw7eAoFXVhneE+sdf+/rwFsg8Moq/oHt/HvBWyDwyirDu3i6NWkXvNsCr6y697z9nxz+52N98BYJvLLK8D7zphdc+OrxiWfAWyDwyirD+4G3POncU2/ZA94CgVdWGd6X/3T9z+OvAG+BwCurDO/5Z/C+HLwFAq+surcNb37Kud+9dTd4CwReWXU/sE2Mv/o143/HD2xFAq+swl+V/fi2W3/Er8oKBV5ZZXg7n9zn3LtvbIO3QOCVVYb3hvMPO3fXq24Eb4HAK6vuV2XfWP/zO38J3gKBV1YZ3vPuX//z5+eCt0DJ8WaDDqlxeK98z6xzC5P/AN4CgVdWGd7p17/k7992zmueBm+BwCur7ldlq/928DN3d6Vd8G4LvDLu2+AHXvCCF7wq8JrAC97wwGsCrwq8JvCCNzzwmsCrAq8JvOAND7wm8KrAawIveMMDrwm8KvCawAve8MBrAq8KvCbwgjc88JrAqwKvCbzgDQ+8JvCqwGsCL3jDA68JvCrwmsAL3vCC8d40OTl5O3iHB15Zcry757vdVfAOD7yy1HgX9238pXXnnXc+2Aqt2wl+qslFmrMaZ0yvLx9Og7f8Wu2V8jPW60eaY1+tzf88djbeR/fecNXN04O/TE9MTBzK/kZNXmnwpt561G3eniEb75N3LbSO7N/8KPgbP28bqqv8WjvlbUNn4Hzmys3/PFvwlwcveMMLxXvsxrnlbx7gO+/wwCtLjXftyL69B2fAOzzwylLjtQV/efCCNzzwmsCrAq8JvOAND7wm8KrAawIveMMDrwm8KvCawAve8MBrAq8KvCbwgjc88JrAqwKvCbzgDQ+8JvCqwGsCL3jDA68JvCrwmsAL3vDAawKvCrwm8II3PPCawKsCrwm84A0PvCbwqsBrAi94wwOvCbwq8JqK4x36soA3R+XXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsBbXeXXAq8JvNVVfi3wmsCbtIJrgdcE3qQVXAu8JvAmreBa4DWBN2kF1wKvCbxJK7gWeE3gTVrBtcBrAm/SCq4FXhN4k1ZwLfCawJu0gmuB1wTepBVcC7wm8Cat4FrgNYE3aQXXAq8JvEkruNbOxLsc2spK0WcMew2Wl13hOcPrxxmzqudUbfR5K7hWtxd+JH5rq3Hm2FNeDMR7MrTFhaLPGPYanDzlFoMvwdSNM6bTkw9XbfR5K7jWXDv8SPxWl+PM2fZqBeIN/sbP24akFVxrZ75tCP7y4E1awbXAawJv0gquBV4TeJNWcC3wmsCbtIJrgdcE3qQVXAu8JvAmreBa4DWBN2kF1wKvCbxJK7gWeE3gTVrBtcBrAm/SCq4FXhN4k1ZwLfCadhjeqvGVLe5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mMDrnxp4w4q7Vu5jAq9/auANK+5auY8JvP6pgTesuGvlPibw+qcG3rDirpX7mBqEV63p4S3zGjwXb97DHfmnnUVJBX758GZ/BfCO+NPOoqQCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCP/D648Bbh6QCv+R4H/7Q1bf1wJv9Vc+epAK/1HiX9vyme+Ae8GZ/1bMnqcAvNd7jB5x7aP/gLwuHDh26v60achFbj3W76tPy1m67bvYX3d0e0sg/7SxKKvBb6+X5rOyvsGo+WsiN97tfcm7qg4O//GnXrl1HVkPr94OfanKR5qxFGhNrTpy1+pGOpx9pLRfreMxHy/nxHh7gvSbX2wZV8XuVDa0u9yrbrNOLM2f5VJQxc24mypzZpShjkt+r7PinnfvFR8A7PPDKUuNd2ju1dvB74B0eeGWp8bqHPnzdrfl+VaYCrwy8ssbdn3do4JWBF7z5A68MvH7glYEXvPkDrwy8fuCVgRe8+QOvDLx+4JWBF7z5A68MvH7glYEXvPkDrwy8fuCVgRe8+QOvrF54U9c79KvUl2D692+nvgLT1KFTqS/B9PWfjXJ60/B2Ju7J/qQKu/ma1FdgenDisdSXYLr886OcDt5ygVcGXj/wysBb59amllJfgunUM6mvwNSZWkl9CaY/zo1yetPwEm0FXmps4KXG1hi8vWtbbuu+aeb2aSmv56bJycnba3A9P7x2z6em63M8G5cz6tNpCt4f7J9sbd03zd4+LeH1uN3z3e5q+uuZuvL3na9+vDbHs3E5Iz+dpuB95IH3t7bum7Z1+7TU17O47/QHya/nwduce/rq2hzPxuWM/HSagte5K1pb903bun1a6ut5dO8NV908XYvrWfnc7XU6nvXLGfnpNAzvmfum2dunJbyeJ+9aaB3ZX4PrWfvP67+2Wp/jOXM5Iz+dZuHduG+avX1awuvpdJ2buXIt+fWsffFjU64+x7NxOSM/nWbh3bhvmr19WsLrOXbj3PI3D6S/np/ftLJ+P9G6HM/G5Yz8dJqFd/O+aeb2aQmvZ+3Ivr0HZ9Jfzx2Tg/bU5ng2Lmfkp9McvETbAi81NvBSYwMvNTbwUmMDLzU28FJjA+9oG78v5CHKFXhH2zahT4wdfs5DF91S5QXtpMA72rbhnfnoA895CLyhgXe0jX/nfedc+C3nZq975Usv++1psU9f9rI33vOSE5sPTYyNXZr6KhsaeEfb+AV3n7j6RZ21S97+k/++6i9mBnhXXnvZf939irETmw/xnTc48I628c869/jYEw/82Snnehf86wDv3S9bcO6OdbxnHgJvcOAdbeP/4dz02BN3jI0PGvvCAO+BSwb/+rfreM88BN7gwDva1n8qGwg9eu7Wx594x+Afj63jvQ+85QLvaNsQ+uuxR5z7065fDj7+l3Nbzt0F3giBd7RtCr389cd+dulrVwYfL//15f/z/b8d/9XWQxdfP5P6KhsaeEfbptDW9Recs+vx0x8/9q6XvvXB8We3HvrKeZenvsqGBt6qmz665twjL+6nvo4dEHir7g8v/Pz0ry++LvVl7ITAW3n3vulFf/VPs6mvYicEXmps4KXGBl5qbOClxgZeamzgpcYGXmps4KXG9v+sD877NjdSDQAAAABJRU5ErkJggg==)
starwars %>% ggplot(aes(x=height, color=gender)) +
geom_histogram(aes(y=..density..))
![](data:image/png;base64,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)
starwars %>% ggplot(aes(x=height, color=gender)) +
geom_density(aes(y=..density..))
![](data:image/png;base64,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)
Presidential examples
Try out the code in Chapter 4 Section 1 using the presidential data set.
presidential
Star Wars API and R package
More Star Wars stuff you might find interesting.
- Check out the Star Wars website.
- Check out the Star Wars API sawpi.
- And check out the R package rwars.
rwars package
This is a package that connects to the sawpi to pull data from the API.
If the package does not install from CRAN you can isntall it from github.
library(devtools)
install_github("ironholds/rwars")
library(rwars)
planet_schema <- get_planet_schema()
names(planet_schema)
[1] "properties" "$schema" "type" "required" "description"
[6] "title"
rwars package
Get an individual starship - an X-wing.
Hopefully it won’t time out and will actually bring the data back.
x_wing <- get_starship(12)
x_wing
$name
[1] "X-wing"
$model
[1] "T-65 X-wing"
$manufacturer
[1] "Incom Corporation"
$cost_in_credits
[1] "149999"
$length
[1] "12.5"
$max_atmosphering_speed
[1] "1050"
$crew
[1] "1"
$passengers
[1] "0"
$cargo_capacity
[1] "110"
$consumables
[1] "1 week"
$hyperdrive_rating
[1] "1.0"
$MGLT
[1] "100"
$starship_class
[1] "Starfighter"
$pilots
$pilots[[1]]
[1] "https://swapi.co/api/people/1/"
$pilots[[2]]
[1] "https://swapi.co/api/people/9/"
$pilots[[3]]
[1] "https://swapi.co/api/people/18/"
$pilots[[4]]
[1] "https://swapi.co/api/people/19/"
$films
$films[[1]]
[1] "https://swapi.co/api/films/2/"
$films[[2]]
[1] "https://swapi.co/api/films/3/"
$films[[3]]
[1] "https://swapi.co/api/films/1/"
$created
[1] "2014-12-12T11:19:05.340000Z"
$edited
[1] "2014-12-22T17:35:44.491233Z"
$url
[1] "https://swapi.co/api/starships/12/"
Alternative API that can be accessed via an R package
The compstatr R package gives direct access to the St. Louis Metropolitan Police Department’s website.
library(compstatr)
cs_last_update()
[1] "August 2019"
i <- cs_create_index()
aug19 <- cs_get_data(year = 2019, month = "August", index = i)
aug19
The ukpolice R package to download data from UK Police public data API.
library(ukpolice)
library(ggplot2)
library(dplyr)
tv_ss <- ukc_stop_search_force("thames-valley", date = "2018-12")
tv_ss2 <- tv_ss %>%
filter(!is.na(officer_defined_ethnicity) & outcome != "" ) %>%
group_by(officer_defined_ethnicity, outcome) %>%
summarise(n = n()) %>%
mutate(perc = n/sum(n))
p1 <- ggplot(tv_ss2, aes(x = outcome, y = perc,
group = outcome, fill = outcome)) +
geom_col(position = "dodge") +
scale_y_continuous(labels = scales::percent,
breaks = seq(0.25, 0.8, by = 0.25)) +
scale_x_discrete(labels = scales::wrap_format(15)) +
theme(legend.position = "none", axis.text.x = element_text(size = 8)) +
labs(x = "Outcome",
y = "Percentage of stop and searches resulting in outcome",
title = "Stop and Search Outcomes by Police-Reported Ethnicity",
subtitle = "Thames Valley Police Department, December 2018",
caption = "(c) Evan Odell | 2019 | CC-BY-SA") +
facet_wrap(~officer_defined_ethnicity)
p1
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)
Alternatively you could use the other ukpolice R package that is available through github.
And here is a nice blog post about crime in SF Using R for Crime Analysis
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