README.md

cadoe

The goal of cadoe is to easily download files from the California Department of Education.

Installation

You can install the released version of cadoe from GitHub with:

remotes::install_github("ir-sfsu/cadoe")

Enrollment Data

This is a basic example which shows you how to solve a common problem:

library(cadoe)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
enr178 <- get_school_enr_data("2017-18")
#> Parsed with column specification:
#> cols(
#>   .default = col_double(),
#>   COUNTY = col_character(),
#>   DISTRICT = col_character(),
#>   SCHOOL = col_character(),
#>   GENDER = col_character()
#> )
#> See spec(...) for full column specifications.
glimpse(enr178)
#> Observations: 130,194
#> Variables: 23
#> $ CDS_CODE  <dbl> 1.964593e+13, 1.964593e+13, 1.964593e+13, 1.964593e+13…
#> $ COUNTY    <chr> "Los Angeles", "Los Angeles", "Los Angeles", "Los Ange…
#> $ DISTRICT  <chr> "Hawthorne", "Hawthorne", "Hawthorne", "Hawthorne", "H…
#> $ SCHOOL    <chr> "Ramona", "Ramona", "Ramona", "Ramona", "Ramona", "Ram…
#> $ ETHNIC    <dbl> 2, 6, 0, 4, 9, 7, 2, 4, 3, 1, 6, 5, 5, 9, 3, 7, 2, 5, …
#> $ GENDER    <chr> "F", "M", "F", "F", "M", "F", "M", "M", "M", "M", "F",…
#> $ KDGN      <dbl> 2, 8, 0, 0, 2, 2, 2, 1, 1, 0, 4, 61, 58, 2, 0, 3, 2, 4…
#> $ GR_1      <dbl> 2, 6, 1, 1, 0, 3, 1, 0, 1, 3, 10, 49, 60, 1, 0, 2, 1, …
#> $ GR_2      <dbl> 3, 10, 0, 0, 0, 3, 1, 0, 1, 0, 7, 44, 41, 0, 1, 6, 1, …
#> $ GR_3      <dbl> 1, 5, 0, 0, 3, 5, 0, 0, 0, 0, 6, 35, 47, 0, 0, 3, 1, 3…
#> $ GR_4      <dbl> 1, 10, 1, 0, 0, 3, 1, 1, 0, 0, 5, 48, 58, 1, 1, 3, 1, …
#> $ GR_5      <dbl> 3, 7, 0, 0, 0, 2, 1, 1, 0, 0, 7, 51, 51, 0, 1, 2, 2, 4…
#> $ GR_6      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_7      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_8      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ UNGR_ELM  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_9      <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_10     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_11     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ GR_12     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ UNGR_SEC  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ ENR_TOTAL <dbl> 12, 46, 2, 1, 5, 18, 6, 3, 3, 3, 39, 288, 315, 4, 3, 1…
#> $ ADULT     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …

Discipline Data

suspensions1718 <- get_school_discipline_data("1718", "susp")
glimpse(suspensions1718)
#> Observations: 355,504
#> Variables: 21
#> $ AcademicYear                                               <chr> "2017…
#> $ AggregateLevel                                             <chr> "C", …
#> $ CountyCode                                                 <chr> "01",…
#> $ DistrictCode                                               <chr> NA, N…
#> $ SchoolCode                                                 <chr> NA, N…
#> $ CountyName                                                 <chr> "Alam…
#> $ DistrictName                                               <chr> NA, N…
#> $ SchoolName                                                 <chr> NA, N…
#> $ CharterYN                                                  <chr> "No",…
#> $ ReportingCategory                                          <chr> "GF",…
#> $ `Cumulative Enrollment`                                    <chr> "1037…
#> $ `Total Suspensions`                                        <chr> "2706…
#> $ `Unduplicated Count of Students Suspended (Total)`         <chr> "1867…
#> $ `Unduplicated Count of Students Suspended (Defiance-Only)` <chr> "277"…
#> $ `Suspension Rate (Total)`                                  <chr> "1.8"…
#> $ `Suspension Count Violent Incident (Injury)`               <chr> "600"…
#> $ `Suspension Count Violent Incident (No Injury)`            <chr> "1134…
#> $ `Suspension Count Weapons Possession`                      <chr> "48",…
#> $ `Suspension Count Illicit Drug-Related`                    <chr> "431"…
#> $ `Suspension Count Defiance-Only`                           <chr> "377"…
#> $ `Suspension Count Other Reasons`                           <chr> "116"…

Graduation Data

ucgrads178 <- get_school_grad_data("2017-18", "UCGradEth")
#> Parsed with column specification:
#> cols(
#>   CDS_CODE = col_character(),
#>   COUNTY = col_character(),
#>   DISTRICT = col_character(),
#>   SCHOOL = col_character(),
#>   HISPANIC = col_character(),
#>   AM_IND = col_character(),
#>   ASIAN = col_character(),
#>   PAC_ISLD = col_character(),
#>   FILIPINO = col_character(),
#>   AFRICAN_AM = col_character(),
#>   WHITE = col_character(),
#>   TWO_MORE_RACES = col_character(),
#>   NOT_REPORTED = col_character(),
#>   TOTAL = col_character(),
#>   YEAR = col_character()
#> )
glimpse(ucgrads178)
#> Observations: 0
#> Variables: 15
#> $ CDS_CODE       <chr> 
#> $ COUNTY         <chr> 
#> $ DISTRICT       <chr> 
#> $ SCHOOL         <chr> 
#> $ HISPANIC       <chr> 
#> $ AM_IND         <chr> 
#> $ ASIAN          <chr> 
#> $ PAC_ISLD       <chr> 
#> $ FILIPINO       <chr> 
#> $ AFRICAN_AM     <chr> 
#> $ WHITE          <chr> 
#> $ TWO_MORE_RACES <chr> 
#> $ NOT_REPORTED   <chr> 
#> $ TOTAL          <chr> 
#> $ YEAR           <chr>

Future work

• More files
• Harmonize year arguments…