Learning how to import data

Load Packages

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   3.4.4     ✔ 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)
  require(openxlsx)
}

Loading required package: openxlsx

Import Data

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

dataset.csv <- read_csv ("Harry Potter Data.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(1).sav")

dataset.spss.web <- read_sav ("https://osf.io/kd4ej/download")