Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells8
Missing cells (%)< 0.1%
Duplicate rows14
Duplicate rows (%)0.1%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Categorical5
DateTime1
Text2

Dataset

Description인천광역시 교통행정종합관리시스템 단속대장조회(단속년도,자치단체,단속일시,차종,차명,단속장소,단속구분, 단속방법) 데이터 자료 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15049221&srcSe=7661IVAWM27C61E190

Alerts

자치단체 has constant value ""Constant
단속구분 has constant value ""Constant
Dataset has 14 (0.1%) duplicate rowsDuplicates
차종 is highly imbalanced (73.8%)Imbalance

Reproduction

Analysis started2024-01-28 15:53:59.665007
Analysis finished2024-01-28 15:54:00.369015
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속년도
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2021
5351 
2022
4649 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2021 5351
53.5%
2022 4649
46.5%

Length

2024-01-29T00:54:00.414432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:54:00.482922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 5351
53.5%
2022 4649
46.5%

자치단체
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
28000
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28000
2nd row28000
3rd row28000
4th row28000
5th row28000

Common Values

ValueCountFrequency (%)
28000 10000
100.0%

Length

2024-01-29T00:54:00.561141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:54:00.635890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28000 10000
100.0%

단속일시
Date

Distinct9572
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 07:08:00
Maximum2022-11-30 20:38:00
2024-01-29T00:54:00.712342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:54:00.815376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

차종
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01 승용차
8617 
03 화물차(4t 이하)
1068 
02 승합차
 
196
04 화물차(4t 초과)
 
62
06 특수자동차
 
30
Other values (2)
 
27

Length

Max length13
Median length6
Mean length6.7991
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04 화물차(4t 초과)
2nd row01 승용차
3rd row03 화물차(4t 이하)
4th row01 승용차
5th row01 승용차

Common Values

ValueCountFrequency (%)
01 승용차 8617
86.2%
03 화물차(4t 이하) 1068
 
10.7%
02 승합차 196
 
2.0%
04 화물차(4t 초과) 62
 
0.6%
06 특수자동차 30
 
0.3%
05 건설기계 21
 
0.2%
08 이륜차 6
 
0.1%

Length

2024-01-29T00:54:00.917553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:54:01.000278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01 8617
40.8%
승용차 8617
40.8%
화물차(4t 1130
 
5.3%
03 1068
 
5.1%
이하 1068
 
5.1%
02 196
 
0.9%
승합차 196
 
0.9%
04 62
 
0.3%
초과 62
 
0.3%
06 30
 
0.1%
Other values (5) 84
 
0.4%

차명
Text

Distinct968
Distinct (%)9.7%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-01-29T00:54:01.257814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length8.8107486
Min length2

Characters and Unicode

Total characters88037
Distinct characters331
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique501 ?
Unique (%)5.0%

Sample

1st row한성4-5톤플러스카고
2nd row모닝
3rd row포터Ⅱ내장탑차 (PORTER Ⅱ)
4th row아반떼 (AVANTE)
5th rowK3
ValueCountFrequency (%)
쏘나타(sonata 874
 
5.7%
k5 564
 
3.7%
그랜저(grandeur 537
 
3.5%
모닝 426
 
2.8%
싼타페(santafe 348
 
2.3%
아반떼(avante 345
 
2.3%
카니발 330
 
2.2%
쏘렌토 276
 
1.8%
포터ⅱ 260
 
1.7%
porterⅱ 260
 
1.7%
Other values (880) 11049
72.4%
2024-01-29T00:54:01.876304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 5429
 
6.2%
5277
 
6.0%
( 3804
 
4.3%
) 3804
 
4.3%
T 3374
 
3.8%
N 3308
 
3.8%
E 2908
 
3.3%
R 2782
 
3.2%
S 2731
 
3.1%
O 2239
 
2.5%
Other values (321) 52381
59.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 34828
39.6%
Other Letter 27445
31.2%
Decimal Number 6248
 
7.1%
Space Separator 5277
 
6.0%
Lowercase Letter 4432
 
5.0%
Open Punctuation 3804
 
4.3%
Close Punctuation 3804
 
4.3%
Letter Number 1075
 
1.2%
Dash Punctuation 595
 
0.7%
Other Punctuation 525
 
0.6%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1777
 
6.5%
타 1652
 
6.0%
쏘 1335
 
4.9%
나 1107
 
4.0%
랜 875
 
3.2%
그 873
 
3.2%
포 841
 
3.1%
이 768
 
2.8%
리 666
 
2.4%
드 644
 
2.3%
Other values (249) 16907
61.6%
Uppercase Letter
ValueCountFrequency (%)
A 5429
15.6%
T 3374
9.7%
N 3308
9.5%
E 2908
 
8.3%
R 2782
 
8.0%
S 2731
 
7.8%
O 2239
 
6.4%
D 1660
 
4.8%
G 1153
 
3.3%
C 1074
 
3.1%
Other values (16) 8170
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 572
12.9%
i 462
10.4%
r 410
9.3%
o 382
 
8.6%
t 354
 
8.0%
a 333
 
7.5%
d 319
 
7.2%
u 240
 
5.4%
n 196
 
4.4%
c 175
 
3.9%
Other values (15) 989
22.3%
Decimal Number
ValueCountFrequency (%)
0 1438
23.0%
5 1282
20.5%
2 804
12.9%
1 765
12.2%
3 688
11.0%
4 373
 
6.0%
7 305
 
4.9%
6 300
 
4.8%
8 244
 
3.9%
9 49
 
0.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 817
76.0%
Ⅲ 258
 
24.0%
Dash Punctuation
ValueCountFrequency (%)
- 590
99.2%
－ 5
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 523
99.6%
¡ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
5277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3804
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3804
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40335
45.8%
Hangul 27445
31.2%
Common 20257
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1777
 
6.5%
타 1652
 
6.0%
쏘 1335
 
4.9%
나 1107
 
4.0%
랜 875
 
3.2%
그 873
 
3.2%
포 841
 
3.1%
이 768
 
2.8%
리 666
 
2.4%
드 644
 
2.3%
Other values (249) 16907
61.6%
Latin
ValueCountFrequency (%)
A 5429
 
13.5%
T 3374
 
8.4%
N 3308
 
8.2%
E 2908
 
7.2%
R 2782
 
6.9%
S 2731
 
6.8%
O 2239
 
5.6%
D 1660
 
4.1%
G 1153
 
2.9%
C 1074
 
2.7%
Other values (43) 13677
33.9%
Common
ValueCountFrequency (%)
5277
26.1%
( 3804
18.8%
) 3804
18.8%
0 1438
 
7.1%
5 1282
 
6.3%
2 804
 
4.0%
1 765
 
3.8%
3 688
 
3.4%
- 590
 
2.9%
. 523
 
2.6%
Other values (9) 1282
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59509
67.6%
Hangul 27445
31.2%
Number Forms 1075
 
1.2%
None 7
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 5429
 
9.1%
5277
 
8.9%
( 3804
 
6.4%
) 3804
 
6.4%
T 3374
 
5.7%
N 3308
 
5.6%
E 2908
 
4.9%
R 2782
 
4.7%
S 2731
 
4.6%
O 2239
 
3.8%
Other values (57) 23853
40.1%
Hangul
ValueCountFrequency (%)
스 1777
 
6.5%
타 1652
 
6.0%
쏘 1335
 
4.9%
나 1107
 
4.0%
랜 875
 
3.2%
그 873
 
3.2%
포 841
 
3.1%
이 768
 
2.8%
리 666
 
2.4%
드 644
 
2.3%
Other values (249) 16907
61.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 817
76.0%
Ⅲ 258
 
24.0%
None
ValueCountFrequency (%)
－ 5
71.4%
¡ 2
 
28.6%
CJK Compat
ValueCountFrequency (%)
㎥ 1
100.0%

단속장소
Text

Distinct721
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-29T00:54:02.109445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length9.8013
Min length3

Characters and Unicode

Total characters98013
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique450 ?
Unique (%)4.5%

Sample

1st row부평GM자동차앞
2nd row부평대로
3rd row간석레미안자이A
4th row관교동 롯데백화점(터미널점)앞(전일제)
5th row관교동 롯데백화점(터미널점)앞(전일제)
ValueCountFrequency (%)
부근 2069
 
12.0%
관교동 1247
 
7.2%
롯데백화점(터미널점)앞(전일제 1194
 
6.9%
경인로 1036
 
6.0%
인천교통공사앞 788
 
4.6%
만수주공단지 778
 
4.5%
간석레미안자이a 742
 
4.3%
부평gm자동차앞 678
 
3.9%
구월동 644
 
3.7%
간석동 626
 
3.6%
Other values (653) 7472
43.3%
2024-01-29T00:54:02.450376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7275
 
7.4%
동 5596
 
5.7%
부 4562
 
4.7%
로 3856
 
3.9%
앞 3378
 
3.4%
인 3253
 
3.3%
) 2877
 
2.9%
( 2877
 
2.9%
근 2855
 
2.9%
점 2491
 
2.5%
Other values (195) 58993
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77901
79.5%
Space Separator 7275
 
7.4%
Decimal Number 4083
 
4.2%
Close Punctuation 2877
 
2.9%
Open Punctuation 2877
 
2.9%
Uppercase Letter 2408
 
2.5%
Dash Punctuation 322
 
0.3%
Other Punctuation 266
 
0.3%
Lowercase Letter 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5596
 
7.2%
부 4562
 
5.9%
로 3856
 
4.9%
앞 3378
 
4.3%
인 3253
 
4.2%
근 2855
 
3.7%
점 2491
 
3.2%
교 2075
 
2.7%
미 2008
 
2.6%
공 1626
 
2.1%
Other values (165) 46201
59.3%
Uppercase Letter
ValueCountFrequency (%)
A 787
32.7%
G 687
28.5%
M 682
28.3%
T 84
 
3.5%
R 84
 
3.5%
B 79
 
3.3%
D 1
 
< 0.1%
S 1
 
< 0.1%
E 1
 
< 0.1%
C 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 667
16.3%
0 560
13.7%
5 481
11.8%
3 474
11.6%
2 410
10.0%
7 403
9.9%
4 363
8.9%
9 312
7.6%
6 244
 
6.0%
8 169
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
r 1
33.3%
t 1
33.3%
Space Separator
ValueCountFrequency (%)
7275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2877
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%
Other Punctuation
ValueCountFrequency (%)
. 266
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77901
79.5%
Common 17701
 
18.1%
Latin 2411
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5596
 
7.2%
부 4562
 
5.9%
로 3856
 
4.9%
앞 3378
 
4.3%
인 3253
 
4.2%
근 2855
 
3.7%
점 2491
 
3.2%
교 2075
 
2.7%
미 2008
 
2.6%
공 1626
 
2.1%
Other values (165) 46201
59.3%
Common
ValueCountFrequency (%)
7275
41.1%
) 2877
 
16.3%
( 2877
 
16.3%
1 667
 
3.8%
0 560
 
3.2%
5 481
 
2.7%
3 474
 
2.7%
2 410
 
2.3%
7 403
 
2.3%
4 363
 
2.1%
Other values (6) 1314
 
7.4%
Latin
ValueCountFrequency (%)
A 787
32.6%
G 687
28.5%
M 682
28.3%
T 84
 
3.5%
R 84
 
3.5%
B 79
 
3.3%
D 1
 
< 0.1%
S 1
 
< 0.1%
E 1
 
< 0.1%
b 1
 
< 0.1%
Other values (4) 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77901
79.5%
ASCII 20112
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7275
36.2%
) 2877
 
14.3%
( 2877
 
14.3%
A 787
 
3.9%
G 687
 
3.4%
M 682
 
3.4%
1 667
 
3.3%
0 560
 
2.8%
5 481
 
2.4%
3 474
 
2.4%
Other values (20) 2745
 
13.6%
Hangul
ValueCountFrequency (%)
동 5596
 
7.2%
부 4562
 
5.9%
로 3856
 
4.9%
앞 3378
 
4.3%
인 3253
 
4.2%
근 2855
 
3.7%
점 2491
 
3.2%
교 2075
 
2.7%
미 2008
 
2.6%
공 1626
 
2.1%
Other values (165) 46201
59.3%

단속구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
98 버스전용차로위반
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row98 버스전용차로위반
2nd row98 버스전용차로위반
3rd row98 버스전용차로위반
4th row98 버스전용차로위반
5th row98 버스전용차로위반

Common Values

ValueCountFrequency (%)
98 버스전용차로위반 10000
100.0%

Length

2024-01-29T00:54:02.551664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:54:02.615180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
98 10000
50.0%
버스전용차로위반 10000
50.0%

단속방법
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고정형CCTV
5583 
차량형CCTV
2058 
버스탑재형
1005 
버스탑재형(SIDE)
727 
생활불편신고(국민신문고등)
627 

Length

Max length16
Median length9
Mean length9.5287
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고정형CCTV
2nd row버스탑재형
3rd row고정형CCTV
4th row고정형CCTV
5th row고정형CCTV

Common Values

ValueCountFrequency (%)
고정형CCTV 5583
55.8%
차량형CCTV 2058
 
20.6%
버스탑재형 1005
 
10.1%
버스탑재형(SIDE) 727
 
7.3%
생활불편신고(국민신문고등) 627
 
6.3%

Length

2024-01-29T00:54:02.686081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:54:02.759008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형cctv 5583
55.8%
차량형cctv 2058
 
20.6%
버스탑재형 1005
 
10.1%
버스탑재형(side 727
 
7.3%
생활불편신고(국민신문고등 627
 
6.3%

Correlations

2024-01-29T00:54:02.817837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속년도차종단속방법
단속년도1.0000.0350.148
차종0.0351.0000.103
단속방법0.1480.1031.000
2024-01-29T00:54:02.882614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차종단속방법단속년도
차종1.0000.0650.038
단속방법0.0651.0000.180
단속년도0.0380.1801.000
2024-01-29T00:54:02.945703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속년도차종단속방법
단속년도1.0000.0380.180
차종0.0381.0000.065
단속방법0.1800.0651.000

Missing values

2024-01-29T00:54:00.223697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:54:00.323406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

단속년도자치단체단속일시차종차명단속장소단속구분단속방법
556762022280002022-01-17 17:1204 화물차(4t 초과)한성4-5톤플러스카고부평GM자동차앞98 버스전용차로위반고정형CCTV
405972022280002022-11-15 18:5001 승용차모닝부평대로98 버스전용차로위반버스탑재형
629392022280002022-01-11 17:2503 화물차(4t 이하)포터Ⅱ내장탑차 (PORTER Ⅱ)간석레미안자이A98 버스전용차로위반고정형CCTV
573522022280002022-09-26 19:3601 승용차아반떼 (AVANTE)관교동 롯데백화점(터미널점)앞(전일제)98 버스전용차로위반고정형CCTV
570432022280002022-10-16 15:1301 승용차K3관교동 롯데백화점(터미널점)앞(전일제)98 버스전용차로위반고정형CCTV
183612021280002021-07-30 8:1001 승용차쏘나타 (SONATA)간석레미안자이A98 버스전용차로위반고정형CCTV
385652022280002022-05-16 17:1901 승용차코란도C경인로98 버스전용차로위반버스탑재형
472452022280002022-06-30 18:1901 승용차코란도C인천교통공사앞98 버스전용차로위반고정형CCTV
399132022280002022-02-11 19:0101 승용차K5남동대로98 버스전용차로위반버스탑재형
93642021280002021-04-28 19:1801 승용차투싼(TUCSON)부평GM자동차앞98 버스전용차로위반고정형CCTV
단속년도자치단체단속일시차종차명단속장소단속구분단속방법
241142021280002021-09-22 0:4401 승용차BMW 528i풍산A(서울방향)(전일제)98 버스전용차로위반고정형CCTV
36062021280002021-02-20 15:3001 승용차스파크 1.0관교동 롯데백화점(터미널점)앞(전일제)98 버스전용차로위반고정형CCTV
482032022280002022-01-28 18:2001 승용차그랜저(GRANDEUR)인천교통공사앞98 버스전용차로위반고정형CCTV
432192022280002022-05-19 7:3601 승용차쏘나타 (SONATA)숭의동 경인로 부근98 버스전용차로위반차량형CCTV
623122022280002022-05-16 19:2203 화물차(4t 이하)포터Ⅱ (PORTERⅡ)간석레미안자이A98 버스전용차로위반고정형CCTV
651272022280002022-04-08 18:5202 승합차그랜드스타렉스어린이버스(GRAND STAREX)구월로265번길98 버스전용차로위반버스탑재형(SIDE)
175032021280002021-07-22 8:2101 승용차카니발간석레미안자이A98 버스전용차로위반고정형CCTV
170412021280002021-07-17 19:3501 승용차그랜저(GRANDEUR)관교동 롯데백화점(터미널점)앞(전일제)98 버스전용차로위반고정형CCTV
140862021280002021-06-18 18:2501 승용차그랜저(GRANDEUR)부평군부대98 버스전용차로위반고정형CCTV
301552021280002021-11-10 8:4001 승용차그랜저(GRANDEUR)남동구 구월동 1331 직진(동영상).98 버스전용차로위반생활불편신고(국민신문고등)

Duplicate rows

Most frequently occurring

단속년도자치단체단속일시차종차명단속장소단속구분단속방법# duplicates
02021280002021-01-29 19:4701 승용차쏘나타(SONATA)구월동 인하로 부근98 버스전용차로위반차량형CCTV3
12021280002021-02-01 18:0501 승용차쏘나타(SONATA)구월동 인하로 부근98 버스전용차로위반차량형CCTV2
22021280002021-03-17 17:1501 승용차K5구월동 인하로 부근98 버스전용차로위반차량형CCTV2
32021280002021-03-23 19:5601 승용차쏘나타(SONATA)구월동 인하로 부근98 버스전용차로위반차량형CCTV2
42021280002021-05-03 19:2901 승용차쏘나타(SONATA)구월동 인하로 부근98 버스전용차로위반차량형CCTV2
52021280002021-06-16 10:1901 승용차쏘나타(SONATA)구월동 인하로507번길 부근98 버스전용차로위반차량형CCTV2
62021280002021-07-26 17:0401 승용차쏘나타(SONATA)구월동 인하로507번길 부근98 버스전용차로위반차량형CCTV2
72021280002021-07-26 20:1201 승용차쏘나타(SONATA)구월동 인하로 부근98 버스전용차로위반차량형CCTV2
82021280002021-12-24 18:1501 승용차모닝만수주공단지98 버스전용차로위반고정형CCTV2
92021280002021-12-26 23:1901 승용차그랜저(GRANDEUR)인하로부근98 버스전용차로위반버스탑재형(SIDE)2