Trying to do things.
tests_bad_unicode_chars = [
tests.bad_unicode_chars(utf8_text, {
id: 'badchar1'
}),
tests.bad_unicode_chars(latin1_text, {
expected: 8,
level: 'info',
id: 'badchar2'
}),
tests.bad_unicode_chars(utf8_data, {
expected: 0,
level: 'info',
id: 'badchar3'
}),
tests.bad_unicode_chars(latin1_data, {
expected: 8,
level: 'error',
id: 'badchar4'
})
]
tests_detect_separator = [
tests.detect_separator(utf8_text, { expected: 'comma', id: 'sep1' }),
tests.detect_separator(latin1_text, { expected: 'tab', id: 'sep2' })
]
tests_empty_rows = [
tests.empty_rows(struct_messy, { expected: 1, id: 'emptyrow1' }),
tests.empty_rows(struct_clean, { id: 'emptyrow2' })
]
tests_unnamed_columns = [
tests.unnamed_columns(struct_messy, { expected: 2, id: 'uncol1' }),
tests.unnamed_columns(struct_clean, { id: 'uncol2' })
]
tests_data_dimensions = [
tests.data_dimensions(struct_messy, { expected: [2, 4], id: 'dim1' }),
tests.data_dimensions(struct_clean, { expected: [1, 2], id: 'dim2' })
]
tests_not_trimmed = {
let dat = add_variable(["foo ", " bar ", "cool", "y o"]);
return [
tests.not_trimmed(dat, { expected: 1, id: 'trim2' }),
tests.not_trimmed(base_data, 'char', { id: 'trim1' })
];
}
tests_discrepancies = {
let dat = add_variable(["a", "a", "b", "b"]);
return [
tests.discrepancy(base_data, 'group', 'num', { expected: 2, id: 'discr1' }),
tests.discrepancy(dat, 'group', 'v', { id: 'discr2' })
];
}
tests_n_distinct = [
tests.n_distinct(base_data, 'char', { expected: 4 }),
tests.n_distinct(base_data, 'group', { expected: 2 })
]
tests_duplicates = {
const dat = add_variable(['aa', 'aa', 'Aa', 'aa ']);
const dat2 = add_variable(['foo', 'fii', 'fo0', 'f11']);
const dat3 = add_variable(['afoo', 'bfii', 'afo0', 'bf11']);
return [
tests.duplicates(base_data, 'char', { id: 'dup1' }),
tests.duplicates(dat, 'v', { id: 'dup2', expected: 3 }),
tests.duplicates(dat2, 'v', { id: 'dup3', expected: 1 }),
tests.duplicates(dat3, 'v', { id: 'dup4', expected: 2, max_dist: 2 })
];
}
tests_date_format = {
let dat = add_variable([
'2020-03-14',
'2020-03-15',
'2020-03-16',
'2020-03-17'
]);
let dat2 = add_variable([
'2020-03-14',
'2020-03-15',
'2020-03-16',
'17/03/2020'
]);
return [
tests.date_format(base_data, 'date', { id: 'dateformat1' }),
tests.date_format(base_data, 'date', {
format: '%d/%m/%Y',
id: 'dateformat2'
}),
tests.date_format(dat, 'v', {
format: '%Y-%m-%d',
id: 'dateformat4',
expected: 0
}),
tests.date_format(dat2, 'v', {
format: '%d/%m/%Y',
id: 'dateformat5',
expected: 3
})
];
}
tests_date_before = {
let dat = add_variable([
'14/03/2020',
'15/03/2020',
'2020-03-16',
'17/03/2020'
]);
return [
tests.date_before(base_data, 'date', {
date: '2020-05-10',
id: 'datebef1',
expected: 2
}),
tests.date_before(base_data, 'date', {
date: '2020-03-17',
id: 'datebef2',
expected: 1
}),
tests.date_before(base_data, 'date', {
date: new Date(2020, 3, 18),
id: 'datebef3',
expected: 2
}),
tests.date_before(base_data, 'date', {
date: d3.utcParse('%d/%m/%Y')('16/03/2020'),
id: 'datebef4',
expected: 1
}),
tests.date_before(dat, 'v', {
date: '2020-03-17',
format: '%d/%m/%Y',
id: 'datebef5',
expected: 2
})
];
}
tests_date_after = {
let dat = add_variable([
'03/14/2020',
'03/15/2020',
'2020-03-16',
'03/17/2020'
]);
return [
tests.date_after(base_data, 'date', {
date: '2020-05-10',
id: 'dateaft1',
expected: 2
}),
tests.date_after(base_data, 'date', {
date: '2020-07-10',
id: 'dateaft2'
}),
tests.date_after(base_data, 'date', {
date: new Date(2020, 3, 18),
id: 'dateaft4',
expected: 2
}),
tests.date_after(base_data, 'date', {
date: d3.utcParse('%d/%m/%Y')('16/03/2020'),
id: 'dateaft4',
expected: 3
}),
tests.date_after(dat, 'v', {
date: '2020-03-15',
format: '%m/%d/%Y',
id: 'dateaft5',
expected: 1
})
];
}
tests.results(tests_date_after)
tests_look_for_values = [
tests.look_for_values(base_data, 'char', { value: 'foo', id: 'lookfor1' }),
tests.look_for_values(base_data, 'char', {
value: 'foob',
expected: false,
id: 'lookfor2'
}),
tests.look_for_values(base_data, 'char', {
value: ['foo', 'foob'],
expected: false,
id: 'lookfor3'
}),
tests.look_for_values(base_data, 'char', {
value: ['foo', 'yo'],
expected: true,
id: 'lookfor4'
}),
tests.look_for_values(base_data, 'char', {
value: [/fo.*/, /bar/],
expected: true,
id: 'lookfor5'
}),
tests.look_for_values(base_data, 'char', {
value: [/foo/, /.*baz/],
expected: false,
id: 'lookfor6'
})
]
base_data.map(d => d.char)
tests_allowed_values = {
return [
tests.allowed_values(base_data, 'char', {
values: ["a", "foo", "yo", "bar"],
expected: 0
}),
tests.allowed_values(base_data, 'char', {
values: ["foo", "bar"],
expected: 2
})
];
}
tests.results(tests_allowed_values)
tests_numeric_range = [
tests.numeric_range(base_data, 'num', { range: [0, 1000], id: 'numrange1' }),
tests.numeric_range(base_data, 'num', {
range: [-Infinity, +Infinity],
id: 'numrange2'
}),
tests.numeric_range(base_data, 'num', {
range: [100, 200],
id: 'numrange3',
expected: 4
})
]
tests_nan_values = {
let dat = add_variable([NaN, 2, NaN, 4]);
return [
tests.NaN_values(base_data, 'num', {
expected: 0
}),
tests.NaN_values(dat, 'v', {
expected: 2
})
];
}
tests_custom = my_test(base_data)
tests.results(tests_custom)
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
