Pointblank Validation
The intendo revenue table. DuckDB revenueWARN 0.01 STOP 0.10 NOTIFY —
		STEP	COLUMNS	VALUES	TBL	EVAL	⋅ ⋅ ⋅	PASS	FAIL	W	S	N	EXT
	1	Comparison. `col_vals_lt()`	`▮revenue`	`▮price`	↻	✓	`927K`	`927K` `1.00`	`0` `0.00`	○	○	—	—
	2	Comparison. `col_vals_lte()`	`▮size`	`5`	→	✓	`2M`	`2M` `0.93`	`139K` `0.07`	●	○	—
	3	Comparison. `col_vals_equal()`	`▮time`	`2015`	↻	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	4	Comparison. `col_vals_not_equal()`	`▮revenue`	`▮price`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	5	Comparison. `col_vals_not_equal()`	`▮name`	`▮type`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	6	Comparison. `col_vals_gte()`	`▮size`	`1`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	7	Comparison. `col_vals_gt()`	`▮revenue`	`0`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	8	Comparison. `col_vals_between()`	`▮revenue`	`(0, 150]`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	9	Comparison. `col_vals_between()`	`▮size`	`[0, 5]`	→	✓	`2M`	`788K` `0.40`	`1M` `0.60`	●	●	—
	10	Comparison. `col_vals_between()`	`▮time`	`[2015-01-01, 2016-01-01]`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	11	Comparison. `col_vals_not_between()`	`▮revenue`	`[0, 0.75]`	↻	✓	`927K`	`882K` `0.95`	`45K` `0.05`	●	○	—
	12	Values within sets. `col_vals_in_set()`	`▮type`	`ad, currency, season_pass, offer_agent, NA`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	13	Values within sets. `col_vals_in_set()`	`▮name`	`gems1, gems2, gems3, gems4, gems5, gold1, gold2, gold3, gold4, gold5, gold6, gold7, offer1, offer2, offer3, offer4, offer5, ad_5sec, pass`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	14	Values within sets. `col_vals_not_in_set()`	`▮type`	`currency, season_pass, offer_agent`	↻	✓	`1M`	`1M` `1.00`	`0` `0.00`	○	○	—	—
	15	Presence of NULLs. `col_vals_null()`	`▮size`	—	↻	✓	`1M`	`1M` `1.00`	`0` `0.00`	○	○	—	—
	16	Presence of NULLs. `col_vals_null()`	`▮price`	—	↻	✓	`1M`	`1M` `1.00`	`0` `0.00`	○	○	—	—
	17	Presence of NULLs. `col_vals_not_null()`	`▮user_id`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	18	Presence of NULLs. `col_vals_not_null()`	`▮session_id`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	19	Presence of NULLs. `col_vals_not_null()`	`▮time`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	20	Presence of NULLs. `col_vals_not_null()`	`▮name`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	21	Presence of NULLs. `col_vals_not_null()`	`▮type`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	22	Presence of NULLs. `col_vals_not_null()`	`▮revenue`	—	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	23	Regular expression. `col_vals_regex()`	`▮user_id`	`[A-Y]{12}`	→	✓	`2M`	`1M` `0.54`	`908K` `0.46`	●	●	—
	24	Regular expression. `col_vals_regex()`	`▮session_id`	`[A-Z]{5}_[a-z]{8}`	→	✓	`2M`	`2M` `1.00`	`0` `0.00`	○	○	—	—
	25	Column type. `col_is_character()`	`▮user_id`	—	→	✓	`1`	`1` `1.00`	`0` `0.00`	○	○	—	—
	26	Column type. `col_is_character()`	`▮session_id`	—	→	✓	`1`	`1` `1.00`	`0` `0.00`	○	○	—	—
	27	Schema. `col_schema_match()`	—	SCHEMA R TYPES	→	✓	`1`	`1` `1.00`	`0` `0.00`	○	○	—	—
2020-09-30 23:08:19 EDT245.8 s2020-09-30 23:12:25 EDT