In msperlin/afedR: Data and Functions for Book "Analyzing Financial and Economical Data with R"

# none
my_answers <- rep(0, 5)

Question

Consider the dataframe created with the following code:

library(tidyverse)

my_N <- 100

df <- bind_rows(tibble(ticker = rep('STOCK 1', my_N),
                       ref_date = Sys.Date() + 1:my_N,
                       price = 100 + cumsum(rnorm(my_N))),
                tibble(ticker = rep('STOCK 2', my_N),
                       ref_date = Sys.Date() + 1:my_N,
                       price = 100 + cumsum(rnorm(my_N))) )

print(df)

Is the dataframe format long or wide? Explain your answer.

Solution

The format is long: we have data stacked for two different stocks. Note that, with the addition of new tickers, the table grows with new lines. New variables can be easily added with new columns.

Meta-information

extype: string exsolution: r mchoice2string(c(TRUE, FALSE, FALSE, FALSE, FALSE), single = TRUE) exname: "function 01" exshuffle: TRUE

msperlin/afedR documentation built on Sept. 11, 2022, 9:49 a.m.