learning how to import data

Load Packages

if(!require(haven)){
  install.packages("haven", dependencies = TRUE)
  library(haven)
}

Loading required package: haven

if(!require(tidyverse)){
  install.packages("tidyverse", dependencies = TRUE)
  library(tidyverse)
}

Loading required package: tidyverse

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.1     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

if(!require(openlsx)){
  install.packages("openxlsx", dependencies = TRUE)
  library(openxlsx)
}

Loading required package: openlsx

Warning in library(package, lib.loc = lib.loc, character.only = TRUE,
logical.return = TRUE, : there is no package called 'openlsx'

Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.4'
(as 'lib' is unspecified)

Import Data

dataset.xls <- read.xlsx("Harry Potter Data.xlsx")

dataset.csv <- read.csv("Harry Potter Data.csv")

dataset.sav <- read_sav("Harry Potter Data.sav")

dataset.spss.web <- read_sav("Harry Potter Data.sav")