This is the updated homework that shows the requested chunk source
code for the data using the cars_data.csv
data set.
library(readr)
cars_data <- read_csv("cars_data.csv")
## New names:
## Rows: 32 Columns: 12
## ── Column specification
## ──────────────────────────────────────────────────────── Delimiter: "," chr
## (1): ...1 dbl (11): mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb
## ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
## Specify the column types or set `show_col_types = FALSE` to quiet this message.
## • `` -> `...1`
head(cars_data)
## # A tibble: 6 × 12
## ...1 mpg cyl disp hp drat wt qsec vs am gear carb
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4 4
## 2 Mazda RX4 W… 21 6 160 110 3.9 2.88 17.0 0 1 4 4
## 3 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1
## 4 Hornet 4 Dr… 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1
## 5 Hornet Spor… 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2
## 6 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1
mean_mpg <- mean(cars_data$mpg)
mean_mpg
## [1] 20.09062
min_mpg <- min(cars_data$mpg)
min_mpg
## [1] 10.4
max_mpg <- max(cars_data$mpg)
max_mpg
## [1] 33.9
num_cars <- length(cars_data$mpg)
num_cars
## [1] 32
The dataset contains 32 cars.
The average MPG is 20.09,
the minimum MPG is 10.4,
and the maximum MPG is 33.9.