| tutorial-id |
none |
data-import |
| name |
question |
Dalton MacAfee |
| email |
question |
dalton.macafee281@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("data/students.csv") |
| reading-data-from-a-file-3 |
exercise |
students <- read_csv("data/students.csv") |
| reading-data-from-a-file-4 |
exercise |
print(students) |
| reading-data-from-a-file-5 |
exercise |
read_csv("data/students.csv", 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),
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_2.csv",
skip = 2) |
| reading-data-from-a-file-15 |
exercise |
read_csv(file = "data/test_3.csv",
col_names = FALSE) |
| reading-data-from-a-file-16 |
exercise |
read_csv(file = "data/test_3.csv",
col_names = c("a", "b", "c")) |
| 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 |
read_csv(file = "data/test_6.csv",
comment = "#") |
| reading-data-from-a-file-20 |
exercise |
read_csv(
file = "data/test_7.csv",
col_types = cols(
grade = col_integer(),
student = col_character()
)) |
| 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_name) |
| reading-data-from-a-file-25 |
exercise |
delim_2.txt
## date|population|town
## 2020-01-12|150|Cambridge, MA
## 2020-02-28|92|Newton, MA |
| controlling-column-types-1 |
exercise |
read_csv("
a, b, c
1, 2, 3") |
| controlling-column-types-4 |
exercise |
read_csv(simple_csv) +
col_types = list(x = col_double()) |
| controlling-column-types-5 |
exercise |
read_csv(simple_csv) +
col_types = list(x = col_double()) |
| controlling-column-types-6 |
exercise |
simple_csv(na = ".") |
| controlling-column-types-7 |
exercise |
another_csv <- "
x,y,z
1,2,3" |
| controlling-column-types-9 |
exercise |
read_csv("data/ex_2.csv") |
| writing-to-a-file-2 |
exercise |
students2 |
| writing-to-a-file-3 |
exercise |
write_csv(x = ...,
... = "data/students2.csv") |
| writing-to-a-file-4 |
exercise |
.("data/students2.csv") |
| writing-to-a-file-5 |
exercise |
iris_p <- iris |>
ggplot(aes(x = Sepal.Length, y = Sepal.Width)) +
geom_jitter() +
labs(title = "Sepal Dimensions of Various Species of Iris",
x = "Sepal Length",
y = "Sepal Width") |
| writing-to-a-file-6 |
exercise |
list.files("data") |
| writing-to-a-file-7 |
exercise |
read_rds(file = "data/test_1.rds") |
| writing-to-a-file-8 |
exercise |
write_rds(mtcars, "data/test_2.rds") |
| writing-to-a-file-9 |
exercise |
list.files("data") |
| writing-to-a-file-10 |
exercise |
read_rds(file = "data/test_2.rds") |
| writing-to-a-file-11 |
question |
apache arrow |
| data-entry-1 |
exercise |
tibble(
x = c(1,2,5),
y = c("h", "m", "g"),
z = c(0.08, 0.83, 0.60)
) |
| data-entry-2 |
exercise |
tibble(
x = c(1,2,5),
y = c("h", "m", "g"),
z = c(0.08, 0.83, 0.60)
) |
| minutes |
question |
90 |