## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----usage-01, eval=FALSE----------------------------------------------------- # library(educationdata) # get_education_data(level, source, topic, by, filters, add_labels, csv) ## ----usage-02, message=FALSE-------------------------------------------------- library(educationdata) df <- get_education_data( level = 'college-university', source = 'ipeds', topic = 'student-faculty-ratio' ) head(df) ## ----usage-03, message=FALSE-------------------------------------------------- library(educationdata) df <- get_education_data(level = 'schools', source = 'ccd', topic = 'enrollment', by = list('race', 'sex'), filters = list(year = 2008, grade = 9:12, ncessch = '340606000122'), add_labels = TRUE) head(df) ## ----endpoints, echo=FALSE---------------------------------------------------- source('../R/get-endpoint-info.R') df <- get_endpoint_info("https://educationdata.urban.org") df$years_available <- gsub('and' ,'', df$years_available) df$years_available <- gsub('\u20AC' ,'-', df$years_available) df$years_available <- gsub('\u00E2' ,'', df$years_available) df$years_available <- gsub('\u201C' ,'', df$years_available) df$optional_vars <- lapply(df$optional_vars, function(x) paste(x, collapse = ', ')) df$required_vars <- lapply(df$required_vars, function(x) paste(x, collapse = ', ')) df <- df[order(df$endpoint_url), ] vars <- c('section', 'class_name', 'topic', 'optional_vars', 'required_vars', 'years_available') knitr::kable(df[vars], col.names = c('Level', 'Source', 'Topic', 'By', 'Main Filters', 'Years Available'), row.names = FALSE) ## ----example-endpoints, echo = FALSE------------------------------------------ df <- df[df$section == 'schools' & df$topic == 'enrollment', ] knitr::kable(df[vars], col.names = c('Level', 'Source', 'Topic', 'By', 'Main Filters', 'Years Available'), row.names = FALSE) ## ----example-01, eval=FALSE--------------------------------------------------- # library(educationdata) # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment') ## ----example-02, eval=FALSE--------------------------------------------------- # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment', # by = list('race', 'sex')) ## ----example-03, eval=FALSE--------------------------------------------------- # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment', # by = list('race', 'sex'), # filters = list(year = 1988:1990, # grade = 6:8)) ## ----example-04, eval=FALSE--------------------------------------------------- # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment', # by = list('race', 'sex'), # filters = list(year = 1988:1990, # grade = 6:8, # ncessch = '010000200277')) ## ----example-05, eval=FALSE--------------------------------------------------- # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment', # by = list('race', 'sex'), # filters = list(year = 1988:1990, # grade = 6:8, # ncessch = '010000200277'), # add_labels = TRUE) ## ----example-06, eval=FALSE--------------------------------------------------- # df <- get_education_data(level = 'schools', # source = 'ccd', # topic = 'enrollment', # by = list('race', 'sex'), # filters = list(year = 1988:1990, # grade = 6:8, # ncessch = '010000200277'), # add_labels = TRUE, # csv = TRUE)