GTFS Schedule Validation Report

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 54544 affected records are displayed below.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"67708140"	468343	850.0	25	468342	850.0	24	14.053132059799745
"67708140"	468344	850.0	26	468343	850.0	25	6.120756703676302
"67708140"	468351	1163.0	33	468350	1163.0	32	20.260670608561004
"67708140"	468352	1163.0	34	468351	1163.0	33	5.565283334240278
"67708140"	468371	1993.0	53	468370	1993.0	52	18.351846804743168
"67708140"	468372	1993.0	54	468371	1993.0	53	3.597813511443716
"67708140"	468385	2497.0	67	468384	2497.0	66	11.019482540849534
"67708140"	468386	2497.0	68	468385	2497.0	67	6.627999383056234
"67708140"	468401	3185.0	83	468400	3185.0	82	4.447804047002885
"67708140"	468402	3185.0	84	468401	3185.0	83	3.487743087289288
"67708140"	468419	3828.0	101	468418	3828.0	100	18.914729888177956
"67708140"	468420	3828.0	102	468419	3828.0	101	3.5612660980587485
"67708140"	468438	4490.0	120	468437	4490.0	119	21.12706922308687
"67708140"	468439	4490.0	121	468438	4490.0	120	6.538350212730611
"67708140"	468463	5322.0	145	468462	5322.0	144	7.783657082785541
"67708140"	468464	5322.0	146	468463	5322.0	145	5.877849935251383
"67708140"	468483	5821.0	165	468482	5821.0	164	20.032176236147542
"67708140"	468484	5821.0	166	468483	5821.0	165	5.729984732742389
"67708140"	468502	6490.0	184	468501	6490.0	183	12.347082929960749
"67708140"	468503	6490.0	185	468502	6490.0	184	6.537790961969801
"67708140"	468531	7155.0	213	468530	7155.0	212	1.111951011220228
"67708140"	468532	7155.0	214	468531	7155.0	213	7.852222511722373
"67708140"	468555	7815.0	237	468554	7815.0	236	16.12858401904953
"67708140"	468556	7815.0	238	468555	7815.0	237	5.7035449832146075
"67708140"	468572	8469.0	254	468571	8469.0	253	13.572094024416327
"67708140"	468573	8469.0	255	468572	8469.0	254	5.647093772779786
"67708140"	468597	9120.0	279	468596	9120.0	278	14.455363152936206
"67708140"	468598	9120.0	280	468597	9120.0	279	6.315954199932346
"67708140"	468615	9774.0	297	468614	9774.0	296	18.907682409389814
"67708140"	468616	9774.0	298	468615	9774.0	297	5.464259722004475
"67708140"	468630	10438.0	312	468629	10438.0	311	17.235240682755087
"67708140"	468631	10438.0	313	468630	10438.0	312	6.284198095372949
"67708140"	468649	11110.0	331	468648	11110.0	330	11.789287339931233
"67708140"	468650	11110.0	332	468649	11110.0	331	6.798648155964224
"67708140"	468668	11774.0	350	468667	11774.0	349	11.900457938323424
"67708140"	468669	11774.0	351	468668	11774.0	350	7.189694659522067
"67708140"	468683	12432.0	365	468682	12432.0	364	11.119510118568197
"67708140"	468684	12432.0	366	468683	12432.0	365	6.542743391720939
"67708140"	468708	13091.0	390	468707	13091.0	389	12.787436635044877
"67708140"	468709	13091.0	391	468708	13091.0	390	5.622940031308042
"67708140"	468729	13758.0	411	468728	13758.0	410	12.787436635752202
"67708140"	468730	13758.0	412	468729	13758.0	411	6.377516963842644
"67708140"	468747	14418.0	429	468746	14418.0	428	18.90316719993909
"67708140"	468748	14418.0	430	468747	14418.0	429	5.701924246791827
"67708140"	468766	15073.0	448	468765	15073.0	447	17.810389028830837
"67708140"	468767	15073.0	449	468766	15073.0	448	6.303575005096928
"67708140"	468786	15739.0	468	468785	15739.0	467	1.1119510119275522
"67708140"	468787	15739.0	469	468786	15739.0	468	4.5438884729291
"67708140"	468802	16394.0	484	468801	16394.0	483	19.130017577316288
"67708140"	468803	16394.0	485	468802	16394.0	484	5.7046898360080265

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 566 affected records are displayed below.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.	actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"67708140"	469094	26343.0	776	469093	26343.0	775	1.0455829498060802
"67708382"	480173	17217.0	345	480172	17217.0	344	0.8298804163029814
"67708382"	480575	35707.0	747	480574	35707.0	746	0.8304709758904445
"67708382"	480871	51417.0	1043	480870	51417.0	1042	0.8953972333798659
"67708381"	478838	17217.0	345	478837	17217.0	344	0.8298804163029814
"67708381"	479240	35707.0	747	479239	35707.0	746	0.8304709758904445
"67708381"	479536	51417.0	1043	479535	51417.0	1042	0.8953972333798659
"67700899"	33743	37417.0	709	33742	37417.0	708	0.8270325642116942
"67700898"	32684	37417.0	709	32683	37417.0	708	0.8270325642116942
"67703929"	161784	1156.0	33	161783	1156.0	32	0.37231125892560496
"67703929"	162272	19783.0	521	162271	19783.0	520	0.996751051210278
"67703929"	162583	32180.0	832	162582	32180.0	831	0.6714361075954078
"67700420"	5385	18166.0	461	5384	18166.0	460	0.33397254030616746
"67700420"	5522	25371.0	598	5521	25371.0	597	0.3726730278103093
"67700420"	5538	25987.0	614	5537	25987.0	613	0.41640455113376107
"67708147"	470556	4115.0	106	470555	4115.0	105	0.8590945062804121
"67708147"	470727	11693.0	277	470726	11693.0	276	0.6091820547744402
"67708147"	471098	26017.0	648	471097	26017.0	647	0.6091808837230577
"67708147"	471131	27409.0	681	471130	27409.0	680	0.5559755059637761
"67708147"	471166	28761.0	716	471165	28761.0	715	0.7958676369527528
"67708147"	471644	48958.0	1194	471643	48958.0	1193	0.9237415812744075
"67708146"	470390	11487.0	286	470389	11487.0	285	0.9237415812744075
"67708384"	482527	14771.0	253	482526	14771.0	252	0.8304709758904445
"67708384"	482592	17582.0	318	482591	17582.0	317	0.22239020252697528
"67708384"	483021	35647.0	747	483020	35647.0	746	0.8820591067064337
"67708383"	481581	15812.0	388	481580	15812.0	387	0.8820591067064337
"67703934"	164292	9187.0	233	164291	9187.0	232	0.8279401534807164
"67703936"	166157	8873.0	192	166156	8873.0	191	0.41318096918923597
"67703936"	166364	18104.0	399	166363	18104.0	398	0.37231125892560496
"67703936"	166852	36731.0	887	166851	36731.0	886	0.996751051210278
"67703936"	167163	49128.0	1198	167162	49128.0	1197	0.6714361075954078
"67703935"	164787	578.0	21	164786	578.0	20	0.41318096918923597
"67703935"	164994	9809.0	228	164993	9809.0	227	0.37231125892560496
"67703935"	165482	28436.0	716	165481	28436.0	715	0.996751051210278
"67703935"	165793	40833.0	1027	165792	40833.0	1026	0.6714361075954078
"67701763"	110710	2538.0	69	110709	2538.0	68	0.829944870097472
"67709250"	498586	55847.0	1418	498585	55847.0	1417	0.8276841146908989
"67712430"	567776	16220.0	374	567775	16220.0	373	0.416013498373709
"67712430"	567825	18699.0	423	567824	18699.0	422	0.8285422828469517
"67712430"	567890	21243.0	488	567889	21243.0	487	0.9236304771805846
"67712431"	568589	1944.0	59	568588	1944.0	58	0.9373658725336048
"67712431"	568664	4699.0	134	568663	4699.0	133	0.7305472008133636
"67712431"	568675	5176.0	145	568674	5176.0	144	0.6089348383254968
"67712431"	568748	8118.0	218	568747	8118.0	217	0.6208263019846806
"67705901"	293567	19042.0	482	293566	19042.0	481	0.996751051210278
"67705901"	294019	37076.0	934	294018	37076.0	933	0.9373658725336048
"67705901"	294094	39831.0	1009	294093	39831.0	1008	0.7305472008133636
"67712428"	564196	2145.0	59	564195	2145.0	58	0.6091808837230577
"67712428"	564229	3537.0	92	564228	3537.0	91	0.5559755059637761
"67712428"	564264	4889.0	127	564263	4889.0	126	0.7958676369527528

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 237 affected records are displayed below.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"67708140"	468320	0.0	2	468319	0.0	1
"67701748"	110059	0.0	2	110058	0.0	1
"67701512"	91314	0.0	2	91313	0.0	1
"67708149"	471706	0.0	2	471705	0.0	1
"67708146"	470106	0.0	2	470105	0.0	1
"67708383"	481195	0.0	2	481194	0.0	1
"67703937"	167337	0.0	2	167336	0.0	1
"67701514"	91691	0.0	2	91690	0.0	1
"67701522"	92316	0.0	2	92315	0.0	1
"67701523"	92698	0.0	2	92697	0.0	1
"67709250"	497170	0.0	2	497169	0.0	1
"67701526"	93701	0.0	2	93700	0.0	1
"67703954"	169818	0.0	2	169817	0.0	1
"67712431"	568532	0.0	2	568531	0.0	1
"67705901"	293087	0.0	2	293086	0.0	1
"67712428"	564139	0.0	2	564138	0.0	1
"67712429"	565761	0.0	2	565760	0.0	1
"67701706"	107679	0.0	2	107678	0.0	1
"67701707"	107949	0.0	2	107948	0.0	1
"67707018"	358837	0.0	2	358836	0.0	1
"67708108"	447680	0.0	2	447679	0.0	1
"67707016"	358312	0.0	2	358311	0.0	1
"67708102"	444719	0.0	2	444718	0.0	1
"67708119"	454985	0.0	2	454984	0.0	1
"67708118"	454581	0.0	2	454580	0.0	1
"67707024"	362457	0.0	2	362456	0.0	1
"67708112"	449564	0.0	2	449563	0.0	1
"67703910"	158085	0.0	2	158084	0.0	1
"67707030"	367376	0.0	2	367375	0.0	1
"67707031"	368489	0.0	2	368488	0.0	1
"67703915"	159077	0.0	2	159076	0.0	1
"67703918"	160809	0.0	2	160808	0.0	1
"67701977"	114400	0.0	2	114399	0.0	1
"67700890"	28281	0.0	2	28280	0.0	1
"67706127"	303307	0.0	2	303306	0.0	1
"67706125"	301608	27598.0	592	301607	27598.0	591
"67706126"	302526	27598.0	592	302525	27598.0	591
"67707457"	414119	0.0	2	414118	0.0	1
"67707454"	412200	0.0	2	412199	0.0	1
"67707452"	410831	0.0	2	410830	0.0	1
"67707453"	411672	0.0	2	411671	0.0	1
"67709889"	529823	0.0	2	529822	0.0	1
"67700839"	27781	0.0	2	27780	0.0	1
"67705058"	255311	0.0	2	255310	0.0	1
"67705057"	254663	0.0	2	254662	0.0	1
"67710877"	531840	0.0	2	531839	0.0	1
"67729268"	692821	0.0	2	692820	0.0	1
"67729267"	692428	0.0	2	692427	0.0	1
"67701938"	111259	0.0	2	111258	0.0	1
"67707007"	355186	0.0	2	355185	0.0	1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type	Description	Threshold, km/h
0	Light rail	100
1	Subway	150
2	Rail	500
3	Bus	150
4	Ferry	80
5	Cable tram	30
6	Aerial lift	50
7	Funicular	50
11	Trolleybus	150
12	Monorail	150
-	Unknown	200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
37714	"6770019797020"	"87"	288.9296811827869	0.16051648954599274	1292090	2	"9454"	"87th Street & Commercial"	"24:00:08"	1292091	3	"9456"	"87th Street & Escanaba"	"24:00:10"

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) Faulty record's field name.	fieldValue (?) Faulty value.
"stops.txt"	910	"stop_name"	"State & Harrison/Ida B Wells Drive "
"stops.txt"	10090	"stop_name"	"Ellis & Midway Plaisance "
"stops.txt"	10204	"stop_name"	"915 E. 60th Street "

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

Only the first 50 of 131 affected records are displayed below.

filename (?) The name of the faulty file.	csvRowNumber (?) The row of the faulty record.	fieldName (?) The name of the missing field.
"routes.txt"	2	"agency_id"
"routes.txt"	3	"agency_id"
"routes.txt"	4	"agency_id"
"routes.txt"	5	"agency_id"
"routes.txt"	6	"agency_id"
"routes.txt"	7	"agency_id"
"routes.txt"	8	"agency_id"
"routes.txt"	9	"agency_id"
"routes.txt"	10	"agency_id"
"routes.txt"	11	"agency_id"
"routes.txt"	12	"agency_id"
"routes.txt"	13	"agency_id"
"routes.txt"	14	"agency_id"
"routes.txt"	15	"agency_id"
"routes.txt"	16	"agency_id"
"routes.txt"	17	"agency_id"
"routes.txt"	18	"agency_id"
"routes.txt"	19	"agency_id"
"routes.txt"	20	"agency_id"
"routes.txt"	21	"agency_id"
"routes.txt"	22	"agency_id"
"routes.txt"	23	"agency_id"
"routes.txt"	24	"agency_id"
"routes.txt"	25	"agency_id"
"routes.txt"	26	"agency_id"
"routes.txt"	27	"agency_id"
"routes.txt"	28	"agency_id"
"routes.txt"	29	"agency_id"
"routes.txt"	30	"agency_id"
"routes.txt"	31	"agency_id"
"routes.txt"	32	"agency_id"
"routes.txt"	33	"agency_id"
"routes.txt"	34	"agency_id"
"routes.txt"	35	"agency_id"
"routes.txt"	36	"agency_id"
"routes.txt"	37	"agency_id"
"routes.txt"	38	"agency_id"
"routes.txt"	39	"agency_id"
"routes.txt"	40	"agency_id"
"routes.txt"	41	"agency_id"
"routes.txt"	42	"agency_id"
"routes.txt"	43	"agency_id"
"routes.txt"	44	"agency_id"
"routes.txt"	45	"agency_id"
"routes.txt"	46	"agency_id"
"routes.txt"	47	"agency_id"
"routes.txt"	48	"agency_id"
"routes.txt"	49	"agency_id"
"routes.txt"	50	"agency_id"
"routes.txt"	51	"agency_id"

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:

Field Text	Dataset
"Schwerin, Hauptbahnhof"	Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin"	NYC Ferry
"Campo Grande Norte"	Carris

Bad examples:

Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file.	fieldName (?) Name of the faulty field.	fieldValue (?) Faulty value.	csvRowNumber (?) The row number of the faulty record.
"routes.txt"	"route_long_name"	"16th/18th"	18
"routes.txt"	"route_long_name"	"31st"	26
"routes.txt"	"route_long_name"	"31st/35th"	29
"routes.txt"	"route_long_name"	"43rd"	33
"routes.txt"	"route_long_name"	"47th"	35
"routes.txt"	"route_long_name"	"51st"	41
"routes.txt"	"route_long_name"	"59th/61st"	54
"routes.txt"	"route_long_name"	"63rd"	58
"routes.txt"	"route_long_name"	"67th/69th/71st"	62
"routes.txt"	"route_long_name"	"74th/75th"	69
"routes.txt"	"route_long_name"	"79th"	73
"routes.txt"	"route_long_name"	"95th"	79
"routes.txt"	"route_long_name"	"87th"	83
"stops.txt"	"stop_name"	"51st"	10700
"stops.txt"	"stop_name"	"51st"	10701
"stops.txt"	"stop_name"	"79th"	10720
"stops.txt"	"stop_name"	"79th"	10721
"stops.txt"	"stop_name"	"95th"	10760
"stops.txt"	"stop_name"	"95th"	10761
"stops.txt"	"stop_name"	"18th"	10829
"stops.txt"	"stop_name"	"18th"	10830
"stops.txt"	"stop_name"	"63rd"	10845
"stops.txt"	"stop_name"	"63rd"	10846
"stops.txt"	"stop_name"	"69th"	10859
"stops.txt"	"stop_name"	"69th"	10860
"stops.txt"	"stop_name"	"43rd"	10913
"stops.txt"	"stop_name"	"43rd"	10914
"stops.txt"	"stop_name"	"87th"	10943
"stops.txt"	"stop_name"	"87th"	10944
"stops.txt"	"stop_name"	"51st"	10986
"stops.txt"	"stop_name"	"79th"	10996
"stops.txt"	"stop_name"	"18th"	11050
"stops.txt"	"stop_name"	"63rd"	11057
"stops.txt"	"stop_name"	"69th"	11064
"stops.txt"	"stop_name"	"43rd"	11090
"stops.txt"	"stop_name"	"87th"	11104

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`.	shapeId (?) The id of the shape that is referred to.	tripId (?) The id of the trip that is referred to.	stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`.	stopId (?) The id of the stop that is referred to.	stopName (?) The name of the stop that is referred to.	match (?) Latitude and longitude pair of the location.	geoDistanceToShape (?) Distance from stop to shape.
25342	"67719374"	"6770000960020"	205505	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921
16331	"67718417"	"6770011075040"	816880	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921
16148	"67718416"	"6770003353020"	364170	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921
16057	"67718413"	"6770010744020"	801991	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921
16073	"67718412"	"6770014978020"	1050850	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921
16027	"67718415"	"6770000753020"	194889	"15999"	"State & 95th Street"	[41.720317,-87.62363]	124.69259894753921

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`.	shapeId (?) The id of the shape that is referred to.	tripId (?) The id of the trip that is referred to.	stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`.	stopId (?) The id of the stop that is referred to.	stopName (?) The name of the stop that is referred to.	match (?) Latitude and longitude pair of the location.	geoDistanceToShape (?) Distance from stop to shape.
20066	"67701971"	"6770000368020"	149014	"18739"	"Milwaukee & Armitage"	[41.917164,-87.68808200000001]	141.49714585470673
25497	"67704369"	"6770014922070"	1054389	"3614"	"2424 W Oakton"	[42.026333,-87.709053]	163.35491879135648
25501	"67704370"	"6770020529070"	1511526	"3614"	"2424 W Oakton"	[42.026333,-87.709053]	163.35491879135648
20149	"67706485"	"6770017399020"	1158202	"18739"	"Milwaukee & Armitage"	[41.917164,-87.68808200000001]	141.49714585470673

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file.	fieldName (?) The name of the unknown column.	index (?) The index of the faulty column.
"trips.txt"	"direction"	7
"trips.txt"	"schd_trip_id"	9

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"developers_license_agreement.htm"