context("test special pop enr")
sp17 <- fetch_reportcard_special_pop(2017)
sp18 <- fetch_reportcard_special_pop(2018)
sp19 <- fetch_reportcard_special_pop(2019)
test_that("special pop works with 2017 data", {
expect_is(sp17, 'tbl_df')
expect_is(sp17, 'data.frame')
expect_equal(
names(sp17),
c("county_id",
"district_id",
"school_id", "school_name",
"end_year",
"subgroup", "n_enrolled", "percent", "n_students",
"is_district", "is_school"
)
)
})
test_that("special pop works with 2018 data", {
expect_is(sp18, 'tbl_df')
expect_is(sp18, 'data.frame')
expect_equal(
names(sp18),
c("county_id",
"district_id",
"school_id", "school_name",
"end_year",
"subgroup", "n_enrolled", "percent", "n_students",
"is_district", "is_school"
)
)
})
test_that("special pop works with 2019 data", {
expect_is(sp19, 'tbl_df')
expect_is(sp19, 'data.frame')
expect_equal(
names(sp19),
c("county_id",
"district_id",
"school_id", "school_name",
"end_year",
"subgroup", "n_enrolled", "percent", "n_students",
"is_district", "is_school"
)
)
})
test_that("ground truth value checks on 2018 special populations data", {
newark_sp_18 <- sp18 %>%
filter(district_id == '3570',
school_id == '270',
!is_district)
expect_is(newark_sp_18, 'data.frame')
}
)
test_that("special populations data is enriched w/ enrollment, 2018", {
expect_equal(sp_18 %>%
filter(district_id == '3570',
school_id == '220',
subgroup == 'Economically Disadvantaged') %>%
pull(n_students),
428)
})
test_that("ground truth value checks on 2019 special populations data", {
newark_sp_19 <- sp19 %>%
filter(district_id == '3570',
school_id == '270',
!is_district)
expect_is(newark_sp_19, 'data.frame')
expect_equal(newark_sp_19 %>%
filter(subgroup == "Female") %>%
pull(percent),
45.5)
expect_equal(newark_sp_19 %>%
filter(subgroup == "Male") %>%
pull(percent),
54.5)
expect_equal(newark_sp_19 %>%
filter(subgroup == "Economically Disadvantaged") %>%
pull(percent),
78.6)
expect_equal(newark_sp_19 %>%
filter(subgroup == "IEP") %>%
pull(percent),
29.2)
expect_equal(newark_sp_19 %>%
filter(subgroup == "Foster Care") %>%
pull(percent),
1.3)
expect_equal(newark_sp_19 %>%
filter(subgroup == "Migrant") %>%
pull(percent),
0)
}
)
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