id | submission_type | answer
--- | --- | ---
tutorial-id | none | data-import
name | question | Kellen Narke
email | question | kellen.narke@gmail.com
reading-data-from-a-file-1 | question | Documentation for package ‘readr’ version 2.1.5
reading-data-from-a-file-2 | exercise | read_csv(file = "data/students.csv")
reading-data-from-a-file-3 | exercise | students <- read_csv(file = "data/students.csv")
reading-data-from-a-file-4 | exercise | students
reading-data-from-a-file-5 | exercise | read_csv(file = "data/students.csv", na = c("N/A", ""))
reading-data-from-a-file-6 | exercise | students |> rename(student_id = "Student ID")
reading-data-from-a-file-7 | exercise | library(janitor)
reading-data-from-a-file-8 | exercise | students |> clean(names)
reading-data-from-a-file-9 | exercise | students |> clean_names() |> mutate(meal_plan = factor(meal_plan))
reading-data-from-a-file-10 | exercise | students |> clean_names() |> mutate(meal_plan = factor(meal_plan)) |> mutate(age = if_else(age == "five", "5", age))
reading-data-from-a-file-11 | exercise | students |> clean_names() |> mutate( meal_plan = factor(meal_plan), age = if_else(age == "five", "5", age), age = parse_number(age) )
reading-data-from-a-file-12 | exercise | read_csv(file = "data/test_1.csv")
reading-data-from-a-file-13 | exercise | read_csv(file = "data/test_1.csv", show_col_types = FALSE)
reading-data-from-a-file-14 | exercise | read_csv(file = "data/test_1.csv", show_col_types = FALSE, skip = 2)
reading-data-from-a-file-15 | exercise | col_names = false
reading-data-from-a-file-16 | exercise | col_names = false
reading-data-from-a-file-17 | exercise | read_csv("data/test_3.csv", col_names = c("a", "b", "c"), col_types = cols(a = col_double(), b = col_double(), c = col_double()))
reading-data-from-a-file-18 | exercise | read_csv(file = "data/test_5.csv", na = ".")
reading-data-from-a-file-19 | exercise |
reading-data-from-a-file-20 | exercise | col_types = cols(grade = col_integer(), student = col_character())
reading-data-from-a-file-21 | exercise | read_csv(file = "data/test_bad_names.csv", name_repair = "universal")
reading-data-from-a-file-22 | exercise | read_csv(file = "data/test_bad_names.csv") |> clean_names()
reading-data-from-a-file-23 | exercise | read_csv(file = "data/test_bad_names.csv", name_repair = janitor::make_clean_names)
reading-data-from-a-file-24 | exercise | read_delim(file = "data/delim_1.txt")
reading-data-from-a-file-25 | exercise | Set the `col_types` argument to cols(date = col_date(format = <date>), population = col_integer(), town = col_character())
controlling-column-types-1 | exercise | read_csv(" a, b, c 1, 2, 3")
controlling-column-types-2 | exercise | read_csv(" logical,numeric,date,string TRUE,1,2021-01-15,abc false,4.5,2021-02-15,def T,Inf,2021-02-16,ghi ")
controlling-column-types-3 | exercise | simple_csv <- " x 10 . 20 30" read_csv(simple_csv)
controlling-column-types-4 | exercise | read_csv(simple_csv, col_types = list(x=col_double()))
minutes | question | 120