library(reprex)
library(dslabs)
library(tidyverse)
#load data from dslabs
data("murders")
#problematic code
murders %>%
mutate(rate = (tota/population) * 1e5)
#> Error: Problem with `mutate()` input `rate`.
#> x object 'tota' not found
#> i Input `rate` is `(tota/population) * 1e+05`.
I was trying to create a new column for calculating murder rates.
library(reprex)
library(tidyverse)
library(dslabs)
# Load murders data from dslabs
data("murders")
# Create a column called for the murder rate
murders %>%
mutate(rate = tota / population * 1e5)
#> Error: Problem with `mutate()` input `rate`.
#> x object 'tota' not found
#> i Input `rate` is `tota/population * 1e+05`.
## you can put any code here!
library(tidyverse)
diamonds %>%
slice(1:5) %>%
select(Cut)
#> Error: Can't subset columns that don't exist.
#> x Column `Cut` doesn't exist.
library(tidyverse)
diamonds %>%
mutate(niceness = (carat + cut))
#> Warning: Problem with `mutate()` input `niceness`.
#> ℹ '+' is not meaningful for ordered factors
#> ℹ Input `niceness` is `(carat + cut)`.
#> Warning in Ops.ordered(carat, cut): '+' is not meaningful for ordered factors
#> # A tibble: 53,940 x 11
#> carat cut color clarity depth table price x y z niceness
#> <dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <lgl>
#> 1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43 NA
#> 2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31 NA
#> 3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31 NA
#> 4 0.290 Premium I VS2 62.4 58 334 4.2 4.23 2.63 NA
#> 5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75 NA
#> 6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48 NA
#> 7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47 NA
#> 8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53 NA
#> 9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49 NA
#> 10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39 NA
#> # … with 53,930 more rows