test_that("resas-power_for_industry", {
skip_on_cran()
library(dplyr)
power_for_industry <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/industry/power/forIndustry.html")
expect_s3_class(power_for_industry, "resas")
power_for_industry <- power_for_industry |>
itemise(year = "2012",
pref_code = "1",
city_code = "-",
sic_code = "A")
expect_s3_class(power_for_industry, "resas")
power_for_industry <- collect(power_for_industry)
expect_s3_class(power_for_industry, "tbl_df")
})
test_that("resas-population_change_rate", {
skip_on_cran()
library(dplyr)
population_change_rate <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/population/sum/perYear.html")
population_change_rate <- population_change_rate |>
itemise(pref_code = "1") |>
collect()
expect_s3_class(population_change_rate$line, "tbl_df")
expect_s3_class(population_change_rate$bar, "tbl_df")
})
test_that("resas-partner_docomo_destination", {
skip_on_cran()
library(dplyr)
partner_docomo_destination <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/partner/docomo/destination.html") |>
itemise(year = "2016",
month = "01",
period_of_day = "1",
period_of_time = "4",
gender = "1",
age_range = "15",
pref_code_destination = "13",
city_code_destination = "13101",
pref_code_residence = "13",
city_code_residence = "-") |>
collect()
expect_s3_class(partner_docomo_destination, "tbl_df")
})
test_that("resas-population-society-for_age_class", {
skip_on_cran()
library(dplyr)
population_society_for_age_class <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/population/society/forAgeClass.html") |>
itemise(pref_code = "01") |>
collect()
expect_s3_class(population_society_for_age_class$`data/positive_age_classes`, "tbl_df")
expect_s3_class(population_society_for_age_class$`data/negative_age_classes`, "tbl_df")
})
test_that("agriculture_crops_farmers_age_structure", {
skip_on_cran()
library(dplyr)
agriculture_crops_farmers_age_structure <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/agriculture/crops/farmersAgeStructure.html") |>
itemise(city_code = "11362",
farmers_type = "1",
gender_type = "3",
matter = "3",
pref_code = "11") |>
collect()
expect_s3_class(agriculture_crops_farmers_age_structure$`years/legend`, "tbl_df")
expect_s3_class(agriculture_crops_farmers_age_structure$`years/data`, "tbl_df")
})
test_that("agriculture_crops_farmers_average_age", {
skip_on_cran()
library(dplyr)
agriculture_crops_farmers_average_age <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/agriculture/crops/farmersAverageAge.html") |>
itemise(city_code = "11362",
farmers_type = "1",
gender_type = "3",
matter = "3",
pref_code = "11") |>
collect()
expect_s3_class(agriculture_crops_farmers_average_age, "tbl_df")
})
test_that("prefectures", {
skip_on_cran()
library(dplyr)
prefectures <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/prefectures.html")
expect_s3_class(prefectures, "tbl_df")
})
test_that("medical_welfare_care_analysis_chart", {
skip_on_cran()
library(dplyr)
medical_welfare_care_analysis_chart <- resas(path = "https://opendata.resas-portal.go.jp/docs/api/v1/medicalWelfare/careAnalysis/chart.html",
query = list(matter_1 = "1")) |>
itemise(year = "2015",
disp_type = "1",
sort_type = "1",
# matter_1 = "1",
matter_2 = "101",
broad_category_cd = "1",
middle_category_cd = "100",
pref_code = "2",
city_code = "-",
insurance_code = "-") |>
collect()
expect_s3_class(medical_welfare_care_analysis_chart, "tbl_df")
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.