The educationR
package provides a comprehensive
collection of datasets related to education, covering topics such as
student performance, learning methods, test scores, absenteeism, and
other educational metrics. This package is designed as a resource for
educational researchers, data analysts, and statisticians to explore and
analyze data in the field of education.
The datasets included in educationR
span various aspects
of education, offering a range of formats, from tabular to tibbles. Each
dataset is named with a suffix indicating its structure or type, making
it easier to understand and work with the data.
You can install the educationR
package from CRAN with
the following R function:
install.packages("educationR")
After installation, you can load the package and begin exploring the datasets. The consistent naming convention helps you easily identify the structure of each dataset:
_tbl_df
: Tibble._df
: Data frame._table
: Table.
# Load the package
library(educationR)
# Load a dataset
data("Achieve_tbl_df")
# View the dataset
head(Achieve_tbl_df)
# Load another dataset
data("UCBAdmissions_table")
# View the tabular dataset
summary(UCBAdmissions_table)
Here are some example datasets included in the
educationR
package:
Achieve_tbl_df
: Math Achievement Test Scores by
Gender (_tbl_df for tibble).
GPA_college_tbl_df
: High School GPA versus College
GPA (_tbl_df for tibble).
QuizPulse10_df
: Quiz vs Lecture Pulse Rates (_df for
data frame).
UCBAdmissions_table
: Student Admissions at UC
Berkeley (_table for tabular data).
exams_tbl_df
: Exam Scores: Class of 19 Students
(_tbl_df for tibble).