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# ChileDataAPI - Access Chilean Data via APIs and Curated Datasets
# Version 0.2.0
# Copyright (C) 2025 Renzo Caceres Rossi
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# get_chile_gdp
library(testthat)
test_that("get_chile_gdp() returns a tibble with the correct structure and content", {
skip_on_cran()
result <- get_chile_gdp()
# Check that the result is not NULL
expect_false(is.null(result))
# Check that the result is a data.frame/tibble
expect_s3_class(result, "data.frame")
# Check that the column names are exactly as expected
expect_named(result, c("indicator", "country", "year", "value", "value_label"))
# Check data types of each column
expect_type(result$indicator, "character")
expect_type(result$country, "character")
expect_type(result$year, "integer")
expect_type(result$value, "double")
expect_type(result$value_label, "character")
})
test_that("get_chile_gdp() returns data only for Chile", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(result$country == "Chile"))
})
test_that("get_chile_gdp() returns correct indicator label", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(result$indicator == "GDP (current US$)"))
})
test_that("get_chile_gdp() returns data for years 2010 to 2022", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(result$year %in% 2010:2022))
expect_equal(sort(unique(result$year)), 2010:2022)
})
test_that("get_chile_gdp() returns exactly 13 rows (one per year 2010-2022)", {
skip_on_cran()
result <- get_chile_gdp()
expect_equal(nrow(result), 13)
})
test_that("get_chile_gdp() year column has no missing values", {
skip_on_cran()
result <- get_chile_gdp()
expect_false(any(is.na(result$year)))
})
test_that("get_chile_gdp() value column has no missing values and is numeric", {
skip_on_cran()
result <- get_chile_gdp()
expect_false(any(is.na(result$value)))
expect_true(is.numeric(result$value))
})
test_that("get_chile_gdp() value_label is formatted with commas", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(grepl(",", result$value_label)))
})
test_that("get_chile_gdp() years are sorted in descending order", {
skip_on_cran()
result <- get_chile_gdp()
expect_equal(result$year, sort(result$year, decreasing = TRUE))
})
test_that("get_chile_gdp() indicator and country columns have consistent values", {
skip_on_cran()
result <- get_chile_gdp()
expect_equal(length(unique(result$indicator)), 1)
expect_equal(length(unique(result$country)), 1)
})
test_that("get_chile_gdp() GDP values are positive and reasonable for Chile", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(result$value > 0))
expect_true(all(result$value >= 200000000000)) # At least 200 billion USD
expect_true(all(result$value <= 400000000000)) # At most 400 billion USD
})
test_that("get_chile_gdp() returns consistent structure", {
skip_on_cran()
result <- get_chile_gdp()
expect_false(is.null(result))
expect_s3_class(result, "data.frame")
expect_equal(length(names(result)), 5)
})
test_that("get_chile_gdp() value_label matches formatted value column", {
skip_on_cran()
result <- get_chile_gdp()
# Remove commas and convert to numeric to compare
numeric_label <- as.numeric(gsub(",", "", result$value_label))
expect_equal(numeric_label, result$value, tolerance = 1)
})
test_that("get_chile_gdp() contains no empty strings in text columns", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(nchar(result$indicator) > 0))
expect_true(all(nchar(result$country) > 0))
expect_true(all(nchar(result$value_label) > 0))
})
test_that("get_chile_gdp() GDP values show reasonable growth pattern", {
skip_on_cran()
result <- get_chile_gdp()
# Sort by year ascending to check trend
result_sorted <- result[order(result$year), ]
# Check that GDP generally increased from 2010 to 2022
first_year_gdp <- result_sorted$value[1] # 2010
last_year_gdp <- result_sorted$value[nrow(result_sorted)] # 2022
expect_true(last_year_gdp > first_year_gdp * 0.8) # Allow for some fluctuation
})
test_that("get_chile_gdp() all values are finite and realistic", {
skip_on_cran()
result <- get_chile_gdp()
expect_true(all(is.finite(result$value)))
expect_true(all(result$value > 100000000000)) # At least 100 billion (very conservative)
expect_true(all(result$value < 1000000000000)) # Less than 1 trillion (reasonable upper bound)
})
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