Learning how to import data

Load packages

Import Data

if (!require (haven)){
  install.packages("haven",dependencies = TRUE)
  require(haven)
}
Loading required package: haven
if (!require (tidyverse)){
  install.packages("tidyverse",dependencies = TRUE)
  require(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 (openxlsx)){
  install.packages("openxlsx",dependencies = TRUE)
}
Loading required package: openxlsx
dataset.xls <- read.xlsx ("Harry Potter Data (1).xlsx")
dataset.csv <- read_csv ("Harry Potter Data CSV.csv")
Rows: 124 Columns: 90
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (90): StartDate, EndDate, Status, IPAddress, Progress, Duration (in seco...

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
dataset.spss <- read_sav ("Harry Potter Data SAV.sav")
dataset.spss.web <- read_sav ("https://osf.io/kd4ej/download")