tests_worksheet_03.R

library(testthat)
library(digest)

test_0.1 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer0.1)), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_0.2 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer0.2)), '475bf9280aab63a82af60791302736f6') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_0.3 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer0.3)), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.1 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer1.1)), '475bf9280aab63a82af60791302736f6') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.2 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer1.2)), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.3 <- function(){
    test_that('Did not create an object named avocado', {
        expect_true(exists("avocado")) 
        })
    test_that('avocado should be a data frame.', {
        expect_true('data.frame' %in% class(avocado))
        })
    test_that('avocado does not contain the correct data.', {
        expect_equal(dim(avocado), c(17911, 9))
        expect_equal(digest(as.numeric(sum(avocado$small_hass_volume))), '5c68093945e78d372cac50a8eacec8fa') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(colnames(avocado), c("Date", "average_price", "small_hass_volume", "large_hass_volume", "extra_l_hass_volume", "type", "year", "region", "week"))
        })
print("Success!")
    }

test_1.4 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer1.4)), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.5 <- function(){
    test_that('Did not create a plot named avocado_plot', {
        expect_true(exists("avocado_plot")) 
        })
    test_that('Date should be on the x-axis.', {
        expect_that("Date" %in% c(rlang::get_expr(avocado_plot$mapping$x),rlang::get_expr(avocado_plot$layers[[1]]$mapping$x)), is_true())
        })
    test_that('average_price should be on the y-axis.', {
        expect_that("average_price" %in% c(rlang::get_expr(avocado_plot$mapping$y), rlang::get_expr(avocado_plot$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('avocado_plot should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(avocado_plot$layers[[1]]$geom)) , is_true())
        })
    test_that('Labels on the axes should be descriptive and human readable.', {
        expect_that((avocado_plot$labels$y) == 'average_price', is_false())
        })
print("Success!")
    }

test_1.6 <- function(){
    test_that('Did not create an object named avocado_aggregate', {
        expect_true(exists("avocado_aggregate")) 
        })
    test_that('avocado_aggregate does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(avocado_aggregate), c(53, 2))
        })
    test_that('Columns in avocado_aggregate contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(avocado_aggregate$week))), 'd27e825e408c446c586593f719b5545e') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(digest(as.numeric(sum(avocado_aggregate$average_price))), '124d515821b05dcb2a472f2999ca770e') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.7 <- function(){
    test_that('Did not create a plot named avocado_aggregate_plot', {
        expect_true(exists("avocado_aggregate_plot")) 
        })
    test_that('week should be on the x-axis.', {
        expect_that("week" %in% c(rlang::get_expr(avocado_aggregate_plot$mapping$x),rlang::get_expr(avocado_aggregate_plot$layers[[1]]$mapping$x)), is_true())
        })
    test_that('average_price should be on the y-axis.', {
        expect_that("average_price" %in% c(rlang::get_expr(avocado_aggregate_plot$mapping$y), rlang::get_expr(avocado_aggregate_plot$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('avocado_aggregate_plot should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(avocado_aggregate_plot$layers[[1]]$geom)) , is_true())
        })
    test_that('Labels on the axes should be descriptive and human readable.', {
        expect_that((avocado_aggregate_plot$labels$y) == 'average_price', is_false())
        expect_that((avocado_aggregate_plot$labels$x) == 'week', is_false())
        })
print("Success!")
    }

test_1.8 <- function(){
    test_that('Did not create an object named avocado', {
        expect_true(exists("avocado")) 
        })
    test_that('avocado does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(avocado), c(17911, 10))
        })
    test_that('Columns in avocado contain incorrect values.', {
        expect_equal(digest(round(sum(avocado$total_volume))), 'aa2d30b2344bef18ef305fb4541b78b6') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(digest(round(sum(avocado$average_price, na.rm = TRUE))), 'd478458402bf9895986c7e8a50ad4b61') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.9 <- function(){
    test_that('Did not create an object named avocado_aggregate_2', {
        expect_true(exists("avocado_aggregate_2")) 
        })
    test_that('avocado_aggregate_2 does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(avocado_aggregate_2), c(53, 2))
        })
    test_that('Columns in avocado_aggregate_2 contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(avocado_aggregate_2$total_volume))), '6c1676dd13517d0eed2be5e246dc8ef1') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(digest(as.numeric(sum(avocado_aggregate_2$week))), 'd27e825e408c446c586593f719b5545e') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_1.10 <- function(){
    test_that('Did not create a plot named avocado_aggregate_plot_2', {
        expect_true(exists("avocado_aggregate_plot_2")) 
        })
    test_that('week should be on the x-axis.', {
        expect_that("week" %in% c(rlang::get_expr(avocado_aggregate_plot_2$mapping$x),rlang::get_expr(avocado_aggregate_plot_2$layers[[1]]$mapping$x)), is_true())
        })
    test_that('total_volume should be on the y-axis.', {
        expect_that("total_volume" %in% c(rlang::get_expr(avocado_aggregate_plot_2$mapping$y), rlang::get_expr(avocado_aggregate_plot_2$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('avocado_aggregate_plot_2 should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(avocado_aggregate_plot_2$layers[[1]]$geom)) , is_true())
        })
    test_that('Labels on the axes should be descriptive and human readable.', {
        expect_that((avocado_aggregate_plot_2$labels$y) == 'total_volume', is_false())
        expect_that((avocado_aggregate_plot_2$labels$x) == 'week', is_false())
        })
print("Success!")
    }

test_2.1 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(answer2.1), 'd2a90307aac5ae8d0ef58e2fe730d38b') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_2.2 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(answer2.2), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_2.3 <- function(){
    test_that('Did not create an object named sea_surface', {
        expect_true(exists("sea_surface")) 
        })
    test_that('sea_surface should be a data frame.', {
        expect_true('data.frame' %in% class(sea_surface))
        })
    test_that('sea_surface does not contain the correct data.', {
        expect_equal(dim(sea_surface), c(105, 13))
        expect_equal(digest(as.numeric(sum(sea_surface$Year))), 'f56bfa7ed2b5549995da2c88407099a4') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(colnames(sea_surface), c("Year", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"))
        })
print("Success!")
    }

test_2.3.1 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer2.3.1)), '01a75cb73d67b0f895ff0e61449c7bf8') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }


test_2.4 <- function(){
    test_that('Did not create an object named tidy_temp', {
        expect_true(exists("tidy_temp")) 
        })
    test_that('tidy_temp does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(tidy_temp), c(1260, 3))
        })
    test_that('Columns in tidy_temp contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(tidy_temp$Temperature, na.rm = TRUE))), '378da034470b139e7a84f82e2fcdcb08') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_2.5 <- function(){
    test_that('Did not create a plot named nov_temp_plot', {
        expect_true(exists("nov_temp_plot")) 
        })
    test_that('The Month column in nov_temp_plot should only contain November.', {
        expect_equal(unique(nov_temp_plot$data$Month), "Nov")
        })
    test_that('Year should be on the x-axis.', {
        expect_that("Year" %in% c(rlang::get_expr(nov_temp_plot$mapping$x),rlang::get_expr(nov_temp_plot$layers[[1]]$mapping$x)), is_true())
        })
    test_that('Temperature should be on the y-axis.', {
        expect_that("Temperature" %in% c(rlang::get_expr(nov_temp_plot$mapping$y), rlang::get_expr(nov_temp_plot$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('nov_temp_plot should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(nov_temp_plot$layers[[1]]$geom)) , is_true())
        })
print("Success!")
    }

test_2.6 <- function(){
    test_that('Did not create a plot named all_temp_plot', {
        expect_true(exists("all_temp_plot")) 
        })
    test_that('Need to use tidy_temp as the data!', {
        expect_true("Month" %in% colnames(all_temp_plot$data))
        })
    test_that('Should use facet_wrap to facet by month', {
        expect_true('FacetWrap' %in% class(all_temp_plot$facet)) 
        })
    test_that('Year should be on the x-axis.', {
        expect_that("Year" %in% c(rlang::get_expr(all_temp_plot$mapping$x),rlang::get_expr(all_temp_plot$layers[[1]]$mapping$x)), is_true())
        })
    test_that('Temperature should be on the y-axis.', {
        expect_that("Temperature" %in% c(rlang::get_expr(all_temp_plot$mapping$y), rlang::get_expr(all_temp_plot$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('all_temp_plot should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(all_temp_plot$layers[[1]]$geom)) , is_true())
        })
print("Success!")
    }

test_3.1 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer3.1)), '3a5505c06543876fe45598b5e5e5195d') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.2 <- function(){
    test_that('Did not create an object named madrid', {
        expect_true(exists("madrid")) 
        })
    test_that('madrid should be a data frame.', {
        expect_true('data.frame' %in% class(madrid))
        })
    test_that('madrid does not contain the correct data.', {
        expect_equal(dim(madrid), c(51864, 17))
        expect_equal(digest(sum(madrid$BEN)), '9c9393e1464352cd4fbea94dfadfa02a') # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(colnames(madrid), c("date", "BEN", "CO", "EBE", "MXY", "NMHC", "NO_2", "NOx", "OXY", "O_3", "PM10", "PXY", "SO_2", "TCH", "TOL", "year", "month"))
        })
print("Success!")
    }

test_3.3 <- function(){
    test_that('Did not create a plot named EBE_pollution', {
        expect_true(exists("EBE_pollution")) 
        })
    test_that('date should be on the x-axis.', {
        expect_that("date" %in% c(rlang::get_expr(EBE_pollution$mapping$x),rlang::get_expr(EBE_pollution$layers[[1]]$mapping$x)), is_true())
        })
    test_that('EBE should be on the y-axis.', {
        expect_that("EBE" %in% c(rlang::get_expr(EBE_pollution$mapping$y), rlang::get_expr(EBE_pollution$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('EBE_pollution should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(EBE_pollution$layers[[1]]$geom)) , is_true())
        })
    test_that('Labels on the axes should be descriptive and human readable.', {
        expect_that((EBE_pollution$labels$y) == 'EBE', is_false())
        expect_that((EBE_pollution$labels$x) == 'date', is_false())
        })
print("Success!")
    }

test_3.4 <- function(){
    test_that('Did not create an object named madrid_pollution', {
        expect_true(exists("madrid_pollution")) 
        })
    test_that('madrid_pollution does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(madrid_pollution), c(72, 3))
        })
    test_that('Columns in avocado_aggregate_2 contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(madrid_pollution$year))), '625a52cbf322663507323f452293484f') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.5 <- function(){
    test_that('Did not create a plot named madrid_plot', {
        expect_true(exists("madrid_plot")) 
        })
    test_that('month should be on the x-axis.', {
        expect_that("month" %in% c(rlang::get_expr(madrid_plot$mapping$x),rlang::get_expr(madrid_plot$layers[[1]]$mapping$x)), is_true())
        })
    test_that('max_ebe should be on the y-axis.', {
        expect_that("max_ebe" %in% c(rlang::get_expr(madrid_plot$mapping$y), rlang::get_expr(madrid_plot$layers[[1]]$mapping$y)) , is_true())
        })
    test_that('madrid_plot should be a scatter plot.', {
        expect_that("GeomPoint" %in% c(class(madrid_plot$layers[[1]]$geom)) , is_true())
        })
    test_that('Labels on the axes should be descriptive and human readable.', {
        expect_that((madrid_plot$labels$y) == 'max_ebe', is_false())
        expect_that((madrid_plot$labels$x) == 'month', is_false())
        })
print("Success!")
    }

test_3.6 <- function(){
    test_that('Did not create an object named pollution_2001', {
        expect_true(exists("pollution_2001")) 
        })
    test_that('pollution_2001 does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(pollution_2001), c(1, 14))
        })
    test_that('Columns in pollution_2001 contain incorrect values.', {
        expect_equal(digest(pollution_2001$MXY), '04d5d8b3f2a28a07e24c30fe05b4d105')  # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(digest(as.numeric(sum(pollution_2001))), '7641b9c141801f7dfd1e36295531cd81')  # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.7 <- function(){
    test_that('Did not create an object named pollution_2006', {
        expect_true(exists("pollution_2006")) 
        })
    test_that('pollution_2006 does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(pollution_2006), c(1, 14))
        })
    test_that('Columns in pollution_2006 contain incorrect values.', {
        expect_equal(digest(pollution_2006$MXY), '64d199ddc067d7977719ecede6a11333')  # we hid the answer to the test here so you can't see it, but we can still run the test
        expect_equal(digest(as.numeric(sum(pollution_2006))), 'd5563a7b0d7d1a9eb53269ad69ed4e0b')  # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.8 <- function(){
    test_that('Solution is incorrect', {
        expect_equal(digest(as.character(answer3.8)), '1ce38a3fa8946d5768f4fc87b739ec31') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.9 <- function(){
    test_that('Did not create an object named pollution_diff', {
        expect_true(exists("pollution_diff")) 
        })
    test_that('pollution_diff does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(pollution_diff), c(14, 2))
        })
    test_that('pollution_diff does not contain the correct columns: pollutant and value.', {
        expect_equal(colnames(pollution_diff), c('pollutant', 'value'))
        })
    test_that('Columns in pollution_diff contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(pollution_diff$value))), 'd4f4caf121e7237dc6328782e399d193') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }

test_3.10 <- function(){
    test_that('Did not create an object named max_pollution_diff', {
        expect_true(exists("max_pollution_diff")) 
        })
    test_that('max_pollution_diff does not contain the correct number of rows and/or columns.', {
        expect_equal(dim(max_pollution_diff), c(1, 2))
        })
    test_that('max_pollution_diff does not contain the correct columns: pollutant and value.', {
        expect_equal(colnames(max_pollution_diff), c('pollutant', 'value'))
        })
    test_that('Columns in pollution_diff contain incorrect values.', {
        expect_equal(digest(as.numeric(sum(max_pollution_diff$value))), '6372781239f4b691087e7d411c9ba64f') # we hid the answer to the test here so you can't see it, but we can still run the test
        })
print("Success!")
    }