id submission_type answer
tutorial-id none data-import
name question Surya Fraser
email question surya.fraser@gmail.com
reading-data-from-a-file-1 question Documentation for package ‘readr’ version 2.1.5
reading-data-from-a-file-2 exercise library(readr) read_csv(file="data/students.csv")
reading-data-from-a-file-3 exercise library(readr) read_csv(file="data/students.csv")->students
reading-data-from-a-file-4 exercise print(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), 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=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("data/test_7.csv", col_types = cols( student = col_character(), grade = col_integer() ))
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)|>clean_names()
reading-data-from-a-file-24 exercise read_delim(file="data/delim_1.txt") data <- read_delim("data/delim_1.txt", show_col_types = FALSE) names(data)
reading-data-from-a-file-25 exercise data <- read_delim("data/delim_1.txt", show_col_types = FALSE) names(data) read_delim(file="data/delim_1.txt",col_types=cols(population=col_integer(),date=col_date()))
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 simple_csv <- " x 10 . 20 30" read_csv(simple_csv,col_types = list(x = col_double()))
controlling-column-types-5 exercise simple_csv <- " x 10 . 20 30" read_csv(simple_csv, col_types = list(x = col_double()))->df prolems(df)
controlling-column-types-6 exercise simple_csv <- " x 10 . 20 30" read_csv(simple_csv, col_types = list(x = col_double()),na=".")
controlling-column-types-7 exercise another_csv <- " x,y,z 1,2,3" read_csv(another_csv,col_types=cols(.default = col_character()))
controlling-column-types-8 exercise another_csv <- " x,y,z 1,2,3" 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(.defalt=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))|>mutate(parse_date(b, format="%Y%M%D"))
controlling-column-types-13 exercise read_csv("data/ex_3.csv")
controlling-column-types-14 exercise read_csv("data/ex_3.csv")|>mutate(x=parse_date(x, "%d %B %Y"))
controlling-column-types-15 exercise read_csv("data/ex_3.csv")|>mutate(x=parse_date(x, "%d %B %Y"))|>mutate(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(path="data", pattern="sales")
reading-data-from-multiple-fil-8 exercise list.files(path="data", pattern="sales",full.names=TRUE)|>read_csv()
reading-data-from-multiple-fil-9 exercise list.files(path="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(file="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(x=mtcars,file="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, 5, "m", 0.60 )
minutes question 90