Traffic violations

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Click on a table cell below to display more information about its column.

seqid	date_of_stop	time_of_stop	agency	subagency	description	location	latitude	longitude	accident	belts	personal_injury	property_damage	fatal	commercial_license	hazmat	commercial_vehicle	alcohol	work_zone	search_conducted	search_disposition	search_outcome	search_reason	search_reason_for_stop	search_type	search_arrest_reason	state	vehicletype	year	make	model	color	charge	article	contributed_to_accident	race	gender	driver_city	driver_state	dl_state	arrest_type	geolocation
fdcc1a6b-4854-4cde-bb60-248f478fa5b6	09/11/2019	09:56:00	MCP	2nd District, Bethesda	STOP LIGHTS (*)	27 @ SWEEPSTAKES RD	39.25962666666671	-77.22376	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2005.0	NISSAN	MURANO	MAROON	64*		False	HISPANIC	F	DAMASCUS	MD	MD	B - Unmarked Patrol	(39.2596266666667, -77.22376)
842dad60-5edf-47a8-9e94-c7e6da729498	09/11/2019	09:42:00	MCP	1st District, Rockville	DRIVER FAILURE TO OBEY PROPERLY PLACED TRAFFIC CONTROL DEVICE INSTRUCTIONS	FREDERICK RD / REDLAND RD	39.11286	-77.162435	No	No	No	No	No	No	No	No	No	No								MD	05 - Light Duty Truck	2017.0	TOYT	TUNDRA	GRAY	21-201(a1)	Transportation Article	False	BLACK	M	TEMPLE HILLS	MD	MD	A - Marked Patrol	(39.11286, -77.162435)
4db837cc-f2fa-4a5b-9ac8-37698492b5f9	09/11/2019	09:36:00	MCP	1st District, Rockville	FAILURE VEH. TO YIELD INTERSECTION RIGHT-OF-WAY TO ANOTHER VEH.	S/B GEORGIA AVE AT MD200	39.11708	-77.0681133333333	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2007.0	TOYT	RAV4	BLUE	21-401	Transportation Article	False	WHITE	M	OLNEY	MD	MD	A - Marked Patrol	(39.11708, -77.0681133333333)
79761295-50f6-4336-8b48-fdf55e87a326	09/11/2019	09:33:00	MCP	2nd District, Bethesda	DRIVER FAILURE TO OBEY PROPERLY PLACED TRAFFIC CONTROL DEVICE INSTRUCTIONS	OLD GEORGETOWN RD AT MCKINLEY ST	38.99163	-77.1058733333333	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2011.0	MERZ	TK	SILVER	21-201(a1)	Transportation Article	False	BLACK	F	GAITHERSBURG	MD	MD	A - Marked Patrol	(38.99163, -77.1058733333333)
f9a7a508-386c-466e-95b2-dbf26d7d59fe	09/11/2019	09:30:00	MCP	4th District, Wheaton	MOTOR VEH. W/O REQUIRED STOP LAMPS EQUIPMENT	CONNECTICUT AVE / WELLER RD	39.06456	-77.0736733333333	No	No	No	No	No	No	No	No	No	No								PA	02 - Automobile	2014.0	HONDA	CIVIC	WHITE	22-206(a)	Transportation Article	False	BLACK	F	SILVER SPRING	MD	MD	A - Marked Patrol	(39.06456, -77.0736733333333)
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b1463ded-4b1a-4e7f-ada9-9211bbdc1cbb	01/01/2012	00:52:00	MCP	3rd District, Silver Spring	DRIVER CONSUMING ALCOHOLIC BEVERAGE IN PASSENGER AREA OF MOTOR VEHICLE ON HIGHWAY	PINEY BRANCH ROAD @ ARLISS STREET	0.0	0.0	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2000.0	NISSAN	SENTRA	BLACK	21-903(c)	Transportation Article	False	HISPANIC	F	SILVER SPRING	MD	MD	A - Marked Patrol	(0.0, 0.0)
b1463ded-4b1a-4e7f-ada9-9211bbdc1cbb	01/01/2012	00:52:00	MCP	3rd District, Silver Spring	DRIVING WHILE IMPAIRED BY ALCOHOL	PINEY BRANCH ROAD @ ARLISS STREET	0.0	0.0	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2000.0	NISSAN	SENTRA	BLACK	21-902(b1)	Transportation Article	False	HISPANIC	F	SILVER SPRING	MD	MD	A - Marked Patrol	(0.0, 0.0)
b1463ded-4b1a-4e7f-ada9-9211bbdc1cbb	01/01/2012	00:52:00	MCP	3rd District, Silver Spring	FAILURE OF INDIVIDUAL DRIVING ON HIGHWAY TO DISPLAY LICENSE TO UNIFORMED POLICE ON DEMAND	PINEY BRANCH ROAD @ ARLISS STREET	0.0	0.0	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2000.0	NISSAN	SENTRA	BLACK	16-112(c)	Transportation Article	False	HISPANIC	F	SILVER SPRING	MD	MD	A - Marked Patrol	(0.0, 0.0)
b1463ded-4b1a-4e7f-ada9-9211bbdc1cbb	01/01/2012	00:52:00	MCP	3rd District, Silver Spring	PERSON DRIVING MOTOR VEHICLE ON HIGHWAY OR PUBLIC USE PROPERTY ON SUSPENDED LICENSE AND PRIVILEGE	PINEY BRANCH ROAD @ ARLISS STREET	0.0	0.0	No	No	No	No	No	No	No	No	No	No								MD	02 - Automobile	2000.0	NISSAN	SENTRA	BLACK	16-303(c)	Transportation Article	False	HISPANIC	F	SILVER SPRING	MD	MD	A - Marked Patrol	(0.0, 0.0)
845c2732-d70b-42ef-bde8-603f9563aa28	01/01/2012	00:43:00	MCP	Headquarters and Special Operations	LEFT TURN FROM IMPROPER ROAD POSITION	FENTON AT CAMERON	39.001020433333295	-77.0333436	No	No	No	No	No	No	No	No	No	No								VA	02 - Automobile	2009.0	INFINITY	G37X	SILVER	21-601(b)	Transportation Article	False	WHITE	M	HERNDON	VA	VA	A - Marked Patrol	(39.0010204333333, -77.0333436)

1578154 rows ✕ 42 columns.

`seqid`

ObjectDType

Null values: 0 (0.0%)
Unique values: 895102 (56.7%)

Most frequent values

33c49de3-9e36-4f36-9326-b59a95e86fe8

75f55258-401e-4a3d-87e6-ff9394acb877

28c5bfc1-5670-4751-be16-e1d83cda20f0

c474e98e-128c-40e0-a487-d988cc67f0bd

859768f4-bde0-427b-a60f-07b1e2aaadc4

89d195ed-c995-4dda-b38f-cd784b782321

8fe624e5-2bef-4cf9-963b-58fbb1e206c2

42ee969e-cc65-4557-bc1a-cefa6b35cba8

d8c32585-3c35-4862-987b-aa65d36a53db

e8b8ff98-63f0-4e60-8fda-d1b8c69672da

List:

['33c49de3-9e36-4f36-9326-b59a95e86fe8', '75f55258-401e-4a3d-87e6-ff9394acb877', '28c5bfc1-5670-4751-be16-e1d83cda20f0', 'c474e98e-128c-40e0-a487-d988cc67f0bd', '859768f4-bde0-427b-a60f-07b1e2aaadc4', '89d195ed-c995-4dda-b38f-cd784b782321', '8fe624e5-2bef-4cf9-963b-58fbb1e206c2', '42ee969e-cc65-4557-bc1a-cefa6b35cba8', 'd8c32585-3c35-4862-987b-aa65d36a53db', 'e8b8ff98-63f0-4e60-8fda-d1b8c69672da']

`date_of_stop`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2810 (0.2%)

Most frequent values

03/17/2015

04/10/2018

05/20/2014

03/05/2019

04/18/2018

11/24/2015

01/25/2017

12/08/2015

03/08/2016

02/11/2015

List:

['03/17/2015', '04/10/2018', '05/20/2014', '03/05/2019', '04/18/2018', '11/24/2015', '01/25/2017', '12/08/2015', '03/08/2016', '02/11/2015']

`time_of_stop`

ObjectDType

Null values: 0 (0.0%)
Unique values: 1440 (< 0.1%)

Most frequent values

23:30:00

22:53:00

22:50:00

23:20:00

22:57:00

22:42:00

22:29:00

23:00:00

23:12:00

22:55:00

List:

['23:30:00', '22:53:00', '22:50:00', '23:20:00', '22:57:00', '22:42:00', '22:29:00', '23:00:00', '23:12:00', '22:55:00']

`agency`

ObjectDType

Null values: 0 (0.0%)

Constant value:

MCP

`subagency`

ObjectDType

Null values: 0 (0.0%)
Unique values: 9 (< 0.1%)

Most frequent values

4th District, Wheaton

3rd District, Silver Spring

2nd District, Bethesda

6th District, Gaithersburg / Montgomery Village

1st District, Rockville

5th District, Germantown

Headquarters and Special Operations

W15

S15

List:

['4th District, Wheaton', '3rd District, Silver Spring', '2nd District, Bethesda', '6th District, Gaithersburg / Montgomery Village', '1st District, Rockville', '5th District, Germantown', 'Headquarters and Special Operations', 'W15', 'S15']

`description`

ObjectDType

Null values: 9 (< 0.1%)
Unique values: 14267 (0.9%)

Most frequent values

DRIVER FAILURE TO OBEY PROPERLY PLACED TRAFFIC CONTROL DEVICE INSTRUCTIONS

FAILURE TO DISPLAY REGISTRATION CARD UPON DEMAND BY POLICE OFFICER

DRIVING VEHICLE ON HIGHWAY WITH SUSPENDED REGISTRATION

FAILURE OF INDIVIDUAL DRIVING ON HIGHWAY TO DISPLAY LICENSE TO UNIFORMED POLICE ON DEMAND

DRIVER USING HANDS TO USE HANDHELD TELEPHONE WHILEMOTOR VEHICLE IS IN MOTION

DISPLAYING EXPIRED REGISTRATION PLATE ISSUED BY ANY STATE

DRIVER FAILURE TO STOP AT STOP SIGN LINE

PERSON DRIVING MOTOR VEHICLE ON HIGHWAY OR PUBLIC USE PROPERTY ON SUSPENDED LICENSE AND PRIVILEGE

DRIVING VEHICLE ON HIGHWAY WITHOUT CURRENT REGISTRATION PLATES AND VALIDATION TABS

EXCEEDING THE POSTED SPEED LIMIT OF 40 MPH

List:

['DRIVER FAILURE TO OBEY PROPERLY PLACED TRAFFIC CONTROL DEVICE INSTRUCTIONS', 'FAILURE TO DISPLAY REGISTRATION CARD UPON DEMAND BY POLICE OFFICER', 'DRIVING VEHICLE ON HIGHWAY WITH SUSPENDED REGISTRATION', 'FAILURE OF INDIVIDUAL DRIVING ON HIGHWAY TO DISPLAY LICENSE TO UNIFORMED POLICE ON DEMAND', 'DRIVER USING HANDS TO USE HANDHELD TELEPHONE WHILEMOTOR VEHICLE IS IN MOTION', 'DISPLAYING EXPIRED REGISTRATION PLATE ISSUED BY ANY STATE', 'DRIVER FAILURE TO STOP AT STOP SIGN LINE', 'PERSON DRIVING MOTOR VEHICLE ON HIGHWAY OR PUBLIC USE PROPERTY ON SUSPENDED LICENSE AND PRIVILEGE', 'DRIVING VEHICLE ON HIGHWAY WITHOUT CURRENT REGISTRATION PLATES AND VALIDATION TABS', 'EXCEEDING THE POSTED SPEED LIMIT OF 40 MPH']

`location`

ObjectDType

Null values: 2 (< 0.1%)
Unique values: 214968 (13.6%)

Most frequent values

WAYNE AVE @ DALE DR

IS 370 @ IS 270

MONTGOMERY VILLAGE AVE @ RUSSELL AVE

W/B IS 370 @ IS 270

WOODFIELD RD @ EMORY GROVE RD

RT 28 @ BLACKBERRY DR

10901 WESTLAKE DRIVE

RANDOLPH / COLIE

COLESVILLE RD @ GEORGIA AVE

CLOPPER RD E/B @ ORCHARD HILLS DR

List:

['WAYNE AVE @ DALE DR', 'IS 370 @ IS 270', 'MONTGOMERY VILLAGE AVE @ RUSSELL AVE', 'W/B IS 370 @ IS 270', 'WOODFIELD RD @ EMORY GROVE RD', 'RT 28 @ BLACKBERRY DR', '10901 WESTLAKE DRIVE', 'RANDOLPH / COLIE', 'COLESVILLE RD @ GEORGIA AVE', 'CLOPPER RD E/B @ ORCHARD HILLS DR']

`latitude`

Float64DType

Null values: 0 (0.0%)
Mean ± Std: 36.3 ± 10.1
Median ± IQR: 39.1 ± 0.112
Min ; Max: 0.00 ; 41.5

`longitude`

Float64DType

Null values: 0 (0.0%)
Mean ± Std: -71.5 ± 20.0
Median ± IQR: -77.1 ± 0.158
Min ; Max: -151. ; 39.1

`accident`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`belts`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`personal_injury`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`property_damage`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`fatal`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`commercial_license`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`hazmat`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`commercial_vehicle`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`alcohol`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`work_zone`

ObjectDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`search_conducted`

ObjectDType

Null values: 600828 (38.1%)
Unique values: 2 (< 0.1%)

Most frequent values

No

Yes

List:

['No', 'Yes']

`search_disposition`

ObjectDType

Null values: 1509055 (95.6%)
Unique values: 5 (< 0.1%)

Most frequent values

Nothing

Contraband Only

Property Only

Contraband and Property

DUI

List:

['Nothing', 'Contraband Only', 'Property Only', 'Contraband and Property', 'DUI']

`search_outcome`

ObjectDType

Null values: 619994 (39.3%)
Unique values: 5 (< 0.1%)

Most frequent values

Warning

Citation

Arrest

SERO

Recovered Evidence

List:

['Warning', 'Citation', 'Arrest', 'SERO', 'Recovered Evidence']

`search_reason`

ObjectDType

Null values: 1509055 (95.6%)
Unique values: 9 (< 0.1%)

Most frequent values

Incident to Arrest

Probable Cause

Consensual

K-9

Other

Exigent Circumstances

Probable Cause for CDS

Arrest/Tow

DUI

List:

['Incident to Arrest', 'Probable Cause', 'Consensual', 'K-9', 'Other', 'Exigent Circumstances', 'Probable Cause for CDS', 'Arrest/Tow', 'DUI']

`search_reason_for_stop`

ObjectDType

Null values: 600998 (38.1%)
Unique values: 751 (< 0.1%)

Most frequent values

21-201(a1)

21-801.1

21-707(a)

13-411(f)

13-401(h)

21-1124.2(d2)

64*

22-201.1

16-303(c)

21-204(b)

List:

['21-201(a1)', '21-801.1', '21-707(a)', '13-411(f)', '13-401(h)', '21-1124.2(d2)', '64*', '22-201.1', '16-303(c)', '21-204(b)']

`search_type`

ObjectDType

Null values: 1509063 (95.6%)
Unique values: 4 (< 0.1%)

Most frequent values

Both

Property

Person

Search Incidental

List:

['Both', 'Property', 'Person', 'Search Incidental']

`search_arrest_reason`

ObjectDType

Null values: 1531303 (97.0%)
Unique values: 9 (< 0.1%)

Most frequent values

Stop

Search

Other

Warrant

Traffic

DUI

Marihuana

Criminal

DWI

List:

['Stop', 'Search', 'Other', 'Warrant', 'Traffic', 'DUI', 'Marihuana', 'Criminal', 'DWI']

`state`

ObjectDType

Null values: 59 (< 0.1%)
Unique values: 70 (< 0.1%)

Most frequent values

MD

VA

DC

XX

PA

FL

TX

WV

NC

NY

List:

['MD', 'VA', 'DC', 'XX', 'PA', 'FL', 'TX', 'WV', 'NC', 'NY']

`vehicletype`

ObjectDType

Null values: 0 (0.0%)
Unique values: 33 (< 0.1%)

Most frequent values

02 - Automobile

05 - Light Duty Truck

28 - Other

03 - Station Wagon

01 - Motorcycle

06 - Heavy Duty Truck

29 - Unknown

08 - Recreational Vehicle

25 - Utility Trailer

19 - Moped

List:

['02 - Automobile', '05 - Light Duty Truck', '28 - Other', '03 - Station Wagon', '01 - Motorcycle', '06 - Heavy Duty Truck', '29 - Unknown', '08 - Recreational Vehicle', '25 - Utility Trailer', '19 - Moped']

`year`

Float64DType

Null values: 9647 (0.6%)
Mean ± Std: 2.01e+03 ± 86.3
Median ± IQR: 2.01e+03 ± 10.0
Min ; Max: 0.00 ; 1.00e+04

`make`

ObjectDType

Null values: 9762 (0.6%)
Unique values: 3984 (0.3%)

Most frequent values

TOYOTA

HONDA

FORD

TOYT

NISSAN

HOND

CHEV

BMW

DODGE

JEEP

List:

['TOYOTA', 'HONDA', 'FORD', 'TOYT', 'NISSAN', 'HOND', 'CHEV', 'BMW', 'DODGE', 'JEEP']

`model`

ObjectDType

Null values: 9909 (0.6%)
Unique values: 19462 (1.2%)

Most frequent values

4S

TK

ACCORD

CIVIC

CAMRY

COROLLA

ALTIMA

4D

2S

SUV

List:

['4S', 'TK', 'ACCORD', 'CIVIC', 'CAMRY', 'COROLLA', 'ALTIMA', '4D', '2S', 'SUV']

`color`

ObjectDType

Null values: 18657 (1.2%)
Unique values: 26 (< 0.1%)

Most frequent values

BLACK

SILVER

WHITE

GRAY

RED

BLUE

GREEN

GOLD

BLUE, DARK

TAN

List:

['BLACK', 'SILVER', 'WHITE', 'GRAY', 'RED', 'BLUE', 'GREEN', 'GOLD', 'BLUE, DARK', 'TAN']

`charge`

ObjectDType

Null values: 0 (0.0%)
Unique values: 1086 (< 0.1%)

Most frequent values

21-801.1

21-201(a1)

13-409(b)

21-707(a)

13-401(h)

16-112(c)

21-1124.2(d2)

13-411(f)

16-303(c)

16-303(h)

List:

['21-801.1', '21-201(a1)', '13-409(b)', '21-707(a)', '13-401(h)', '16-112(c)', '21-1124.2(d2)', '13-411(f)', '16-303(c)', '16-303(h)']

`article`

ObjectDType

Null values: 76873 (4.9%)
Unique values: 4 (< 0.1%)

Most frequent values

Transportation Article

Maryland Rules

BR

TG

List:

['Transportation Article', 'Maryland Rules', 'BR', 'TG']

`contributed_to_accident`

BoolDType

Null values: 0 (0.0%)
Unique values: 2 (< 0.1%)

Most frequent values

False

True

List:

[False, True]

`race`

ObjectDType

Null values: 0 (0.0%)
Unique values: 6 (< 0.1%)

Most frequent values

WHITE

BLACK

HISPANIC

ASIAN

OTHER

NATIVE AMERICAN

List:

['WHITE', 'BLACK', 'HISPANIC', 'ASIAN', 'OTHER', 'NATIVE AMERICAN']

`gender`

ObjectDType

Null values: 0 (0.0%)
Unique values: 3 (< 0.1%)

Most frequent values

List:

['M', 'F', 'U']

`driver_city`

ObjectDType

Null values: 387 (< 0.1%)
Unique values: 8087 (0.5%)

Most frequent values

SILVER SPRING

GAITHERSBURG

ROCKVILLE

GERMANTOWN

WASHINGTON

BETHESDA

MONTGOMERY VILLAGE

HYATTSVILLE

POTOMAC

OLNEY

List:

['SILVER SPRING', 'GAITHERSBURG', 'ROCKVILLE', 'GERMANTOWN', 'WASHINGTON', 'BETHESDA', 'MONTGOMERY VILLAGE', 'HYATTSVILLE', 'POTOMAC', 'OLNEY']

`driver_state`

ObjectDType

Null values: 11 (< 0.1%)
Unique values: 68 (< 0.1%)

Most frequent values

MD

DC

VA

PA

FL

NY

NC

WV

CA

NJ

List:

['MD', 'DC', 'VA', 'PA', 'FL', 'NY', 'NC', 'WV', 'CA', 'NJ']

`dl_state`

ObjectDType

Null values: 929 (< 0.1%)
Unique values: 70 (< 0.1%)

Most frequent values

MD

VA

DC

XX

PA

FL

NY

NC

CA

TX

List:

['MD', 'VA', 'DC', 'XX', 'PA', 'FL', 'NY', 'NC', 'CA', 'TX']

`arrest_type`

ObjectDType

Null values: 0 (0.0%)
Unique values: 19 (< 0.1%)

Most frequent values

A - Marked Patrol

Q - Marked Laser

B - Unmarked Patrol

S - License Plate Recognition

O - Foot Patrol

L - Motorcycle

E - Marked Stationary Radar

G - Marked Moving Radar (Stationary)

R - Unmarked Laser

I - Marked Moving Radar (Moving)

List:

['A - Marked Patrol', 'Q - Marked Laser', 'B - Unmarked Patrol', 'S - License Plate Recognition', 'O - Foot Patrol', 'L - Motorcycle', 'E - Marked Stationary Radar', 'G - Marked Moving Radar (Stationary)', 'R - Unmarked Laser', 'I - Marked Moving Radar (Moving)']

`geolocation`

ObjectDType

Null values: 0 (0.0%)
Unique values: 774176 (49.1%)

Most frequent values

(0.0, 0.0)

(39.045425, -76.9907366666667)

(39.0462766666667, -76.990695)

(39.109775, -76.91044)

(39.0056183333333, -77.0123283333333)

(39.11061, -76.9897983333333)

(39.057555, -76.9678266666667)

(39.0039, -77.036485)

(39.1492783333333, -77.06662)

(39.077695, -77.046385)

List:

['(0.0, 0.0)', '(39.045425, -76.9907366666667)', '(39.0462766666667, -76.990695)', '(39.109775, -76.91044)', '(39.0056183333333, -77.0123283333333)', '(39.11061, -76.9897983333333)', '(39.057555, -76.9678266666667)', '(39.0039, -77.036485)', '(39.1492783333333, -77.06662)', '(39.077695, -77.046385)']

No columns match the selected filter: . You can change the column filter in the dropdown menu above.

The table below shows the strength of association between the most similar columns in the dataframe. Cramér's V statistic is a number between 0 and 1. When it is close to 1 the columns are strongly associated — they contain similar information. In this case, one of them may be redundant and for some models (such as linear models) it might be beneficial to remove it.

Column 1	Column 2	Cramér's V
accident	contributed_to_accident	1.00
latitude	geolocation	1.00
latitude	longitude	1.00
search_conducted	search_outcome	0.909
description	charge	0.870
seqid	geolocation	0.746
driver_state	dl_state	0.736
search_conducted	search_reason_for_stop	0.710
longitude	geolocation	0.707
search_conducted	search_reason	0.707
search_conducted	search_disposition	0.707
search_conducted	search_type	0.707
vehicletype	year	0.688
search_reason	search_type	0.634
state	year	0.605
search_disposition	search_type	0.603
search_conducted	search_arrest_reason	0.596
search_disposition	search_reason	0.570
search_outcome	search_reason_for_stop	0.554
search_reason	search_arrest_reason	0.544

Traffic violations

seqid

date_of_stop

time_of_stop

agency

subagency

description

location

latitude

longitude

accident

belts

personal_injury

property_damage

fatal

commercial_license

hazmat

commercial_vehicle

alcohol

work_zone

search_conducted

search_disposition

search_outcome

search_reason

search_reason_for_stop

search_type

search_arrest_reason

state

vehicletype

year

make

model

color

charge

article

contributed_to_accident

race

gender

driver_city

driver_state

dl_state

arrest_type

geolocation

Constant columns

seqid

date_of_stop

time_of_stop

agency

subagency

description

location

latitude

longitude

accident

belts

personal_injury

property_damage

fatal

commercial_license

hazmat

commercial_vehicle

alcohol

work_zone

search_conducted

search_disposition

search_outcome

search_reason

search_reason_for_stop

search_type

search_arrest_reason

state

vehicletype

year

make

model

color

charge

article

contributed_to_accident

race

`seqid`

`date_of_stop`

`time_of_stop`

`agency`

`subagency`

`description`

`location`

`latitude`

`longitude`

`accident`

`belts`

`personal_injury`

`property_damage`

`fatal`

`commercial_license`

`hazmat`

`commercial_vehicle`

`alcohol`

`work_zone`

`search_conducted`

`search_disposition`

`search_outcome`

`search_reason`

`search_reason_for_stop`

`search_type`

`search_arrest_reason`

`state`

`vehicletype`

`year`

`make`

`model`

`color`

`charge`

`article`

`contributed_to_accident`

`race`

`gender`

`driver_city`

`driver_state`

`dl_state`

`arrest_type`

`geolocation`

`seqid`

`date_of_stop`

`time_of_stop`

`agency`

`subagency`

`description`

`location`

`latitude`

`longitude`

`accident`

`belts`

`personal_injury`

`property_damage`

`fatal`

`commercial_license`

`hazmat`

`commercial_vehicle`

`alcohol`

`work_zone`

`search_conducted`

`search_disposition`

`search_outcome`

`search_reason`

`search_reason_for_stop`

`search_type`

`search_arrest_reason`

`state`

`vehicletype`

`year`

`make`

`model`

`color`

`charge`

`article`

`contributed_to_accident`

`race`

`gender`

`driver_city`