
library(testthat)

source("user_code.R")
test_that("summary_sales_table exists and is a data frame", {
  expect_true(exists("summary_sales_table"), info = "summary_sales_table should be created.")
  expect_true(is.data.frame(summary_sales_table), info = "summary_sales_table should be a data frame.")
})

test_that("summary_sales_table has correct columns", {
  expect_true(all(c("region", "total_sales", "average_sales") %in% colnames(summary_sales_table)),
              info = "summary_sales_table should have columns: region, total_sales, average_sales.")
})

test_that("summary_sales_table contains correct statistics for North region", {
  north_row <- summary_sales_table[summary_sales_table$region == "North", ]
  expect_equal(north_row$total_sales, 120 + 135 + 128, info = "Total sales for North region should be correct.")
  expect_equal(north_row$average_sales, mean(c(120, 135, 128)), info = "Average sales for North region should be correct.")
})

test_that("summary_sales_table contains correct statistics for South region", {
  south_row <- summary_sales_table[summary_sales_table$region == "South", ]
  expect_equal(south_row$total_sales, 100 + 98 + 105, info = "Total sales for South region should be correct.")
  expect_equal(south_row$average_sales, mean(c(100, 98, 105)), info = "Average sales for South region should be correct.")
})

test_that("summary_sales_table contains correct statistics for East region", {
  east_row <- summary_sales_table[summary_sales_table$region == "East", ]
  expect_equal(east_row$total_sales, 150 + 160 + 155, info = "Total sales for East region should be correct.")
  expect_equal(east_row$average_sales, mean(c(150, 160, 155)), info = "Average sales for East region should be correct.")
})

test_that("summary_sales_table has one row per region", {
  expect_equal(nrow(summary_sales_table), 3, info = "summary_sales_table should have one row per region.")
})

test_main.R

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Challenge: Summarize and Report Findings

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Challenge: Summarize and Report Findings

Ratkaisu