Walkthrough 03 - Dataset with processed district data with both FRPL and ethnicity data in tidy format

district_tidy_df

Format

Dataset of class tibble.

Source

Minneapolis Public Schools https://mpls.k12.mn.us/

Examples

str(dataedu::district_tidy_df)
#> tibble [1,924 × 3] (S3: spec_tbl_df/tbl_df/tbl/data.frame) #> $ school_name: chr [1:1924] "ARMATAGE" "BANCROFT" "BETHUNE" "BRYN MAWR" ... #> $ category : chr [1:1924] "na_num" "na_num" "na_num" "na_num" ... #> $ value : num [1:1924] 5 49 3 11 6 12 11 8 6 4 ... #> - attr(*, "spec")=List of 3 #> ..$ cols :List of 3 #> .. ..$ school_name: list() #> .. .. ..- attr(*, "class")= chr [1:2] "collector_character" "collector" #> .. ..$ category : list() #> .. .. ..- attr(*, "class")= chr [1:2] "collector_character" "collector" #> .. ..$ value : list() #> .. .. ..- attr(*, "class")= chr [1:2] "collector_double" "collector" #> ..$ default: list() #> .. ..- attr(*, "class")= chr [1:2] "collector_guess" "collector" #> ..$ skip : num 1 #> ..- attr(*, "class")= chr "col_spec"