id | submission_type | answer
--- | --- | ---
tutorial-id | none | data-import
name | question | Rashid Abbasi
email | question | poshboy788@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 | read_csv(file = "data/students.csv") -> students
reading-data-from-a-file-4 | exercise | print(students)
reading-data-from-a-file-5 | exercise | students <- 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), 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(file = "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_type = cols(grade = col_integer(), studnet = 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 | read_delim(file = "data/delim_2.txt", col_types = cols(population = col_integer(), date = col_date(), 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()) )
controlling-column-types-5 | exercise | df <- read_csv( simple_csv, col_types = list(x = col_double()) ) problems(df)
controlling-column-types-6 | exercise | read_csv(simple_csv, na = ".")
controlling-column-types-7 | exercise | read_csv( another_csv, col_types = cols(.default = col_character()) )
controlling-column-types-8 | exercise | read_csv( another_csv, col_types = cols_only(x = col_character()) )
controlling-column-types-9 | exercise | read_csv(file = "data/ex_2.csv")
controlling-column-types-10 | exercise | read_csv(file = "data/ex_2.csv", col_types = cols(.default = col_character()))
controlling-column-types-11 | exercise | read_csv(file = "data/ex_2.csv", col_types = cols(.default = col_character())) |> mutate(a = parse_integer(a))
controlling-column-types-12 | exercise | read_csv(file = "data/ex_2.csv", col_types = cols(.default = col_character())) |> mutate(a = parse_integer(a), b = parse_date(b, format = "%Y%M%D"))
controlling-column-types-13 | exercise | read_csv(file = "data/ex_3.csv")
controlling-column-types-14 | exercise | read_csv(file = "data/ex_3.csv") |> mutate(x = parse_date(x, "%d %B %Y"))
controlling-column-types-15 | exercise | read_csv(file = "data/ex_3.csv") |> mutate(x = parse_date(x, "%d %B %Y"), z = parse_number(z))
reading-data-from-multiple-fil-1 | exercise | list.files("data")
reading-data-from-multiple-fil-2 | exercise | list.files("data", pattern = "similar")
reading-data-from-multiple-fil-3 | exercise | list.files("data", pattern = "similar", full.names = TRUE)
reading-data-from-multiple-fil-4 | exercise | list.files("data", pattern = "similar", full.names = TRUE) |> read_csv()
reading-data-from-multiple-fil-5 | exercise | list.files("data", pattern = "similar", full.names = TRUE) |> read_csv(na = ".")
reading-data-from-multiple-fil-6 | exercise | list.files("data", pattern = "similar", full.names = TRUE) |> read_csv(na = ".", show_col_types = FALSE)
reading-data-from-multiple-fil-7 | exercise | list.files("data", pattern = "sales")
reading-data-from-multiple-fil-8 | exercise | list.files("data", pattern = "sales", full.names = TRUE) |> read_csv()
reading-data-from-multiple-fil-9 | exercise | list.files("data", pattern = "sales", full.names = TRUE) |> read_csv(id = "file")
writing-to-a-file-1 | exercise | students2 <- students |> clean_names() |> mutate( meal_plan = factor(meal_plan), age = if_else(age == "five", "5", age), age = parse_number(age) ) students2
writing-to-a-file-2 | exercise | students2
writing-to-a-file-3 | exercise | write_csv(x = students2, file = "data/students2.csv")
writing-to-a-file-4 | exercise | read_csv("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") write_rds(iris_p, "data/test_1.rds")
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 | What is 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 | tribble(~x, ~y, ~z, 1, "h", 0.08)
minutes | question | 170