Overview

Dataset statistics

Number of variables19
Number of observations726
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.9 KiB
Average record size in memory159.2 B

Variable types

Text5
Categorical10
Numeric4

Dataset

Description울산광역시 지역 내 도로별 제한 속도를 단속하기 위한 무인 단속 카메라 설치 및 위치 정보 제공함으로써 국민들의 알 권리를 충족하고자 합니다.
Author경찰청 울산광역시경찰청
URLhttps://www.data.go.kr/data/15007049/fileData.do

Alerts

시도명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 시군구명High correlation
경도 is highly overall correlated with 시군구명High correlation
제한속도 is highly overall correlated with 설치연도 and 1 other fieldsHigh correlation
설치연도 is highly overall correlated with 제한속도 and 1 other fieldsHigh correlation
시군구명 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
도로종류 is highly overall correlated with 도로노선번호High correlation
도로노선번호 is highly overall correlated with 도로종류High correlation
보호구역구분 is highly overall correlated with 제한속도 and 1 other fieldsHigh correlation
도로종류 is highly imbalanced (60.2%)Imbalance
무인교통단속카메라관리번호 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:59:46.306148
Analysis finished2023-12-12 10:59:53.581243
Duration7.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

UNIQUE 

Distinct726
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T19:59:54.060894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters3630
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)100.0%

Sample

1st rowF6190
2nd rowF6191
3rd rowF6221
4th rowF6582
5th rowF6583
ValueCountFrequency (%)
f6190 1
 
0.1%
g8010 1
 
0.1%
g8012 1
 
0.1%
g8013 1
 
0.1%
g8014 1
 
0.1%
g8015 1
 
0.1%
g8439 1
 
0.1%
g8440 1
 
0.1%
g8441 1
 
0.1%
g8442 1
 
0.1%
Other values (716) 716
98.6%
2023-12-12T19:59:54.792594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 462
12.7%
8 353
9.7%
9 334
9.2%
1 331
9.1%
4 315
8.7%
7 300
8.3%
0 288
7.9%
2 265
7.3%
3 264
7.3%
6 252
6.9%
Other values (3) 466
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2904
80.0%
Uppercase Letter 726
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 353
12.2%
9 334
11.5%
1 331
11.4%
4 315
10.8%
7 300
10.3%
0 288
9.9%
2 265
9.1%
3 264
9.1%
6 252
8.7%
5 202
7.0%
Uppercase Letter
ValueCountFrequency (%)
G 462
63.6%
F 164
 
22.6%
H 100
 
13.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2904
80.0%
Latin 726
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 353
12.2%
9 334
11.5%
1 331
11.4%
4 315
10.8%
7 300
10.3%
0 288
9.9%
2 265
9.1%
3 264
9.1%
6 252
8.7%
5 202
7.0%
Latin
ValueCountFrequency (%)
G 462
63.6%
F 164
 
22.6%
H 100
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G 462
12.7%
8 353
9.7%
9 334
9.2%
1 331
9.1%
4 315
8.7%
7 300
8.3%
0 288
7.9%
2 265
7.3%
3 264
7.3%
6 252
6.9%
Other values (3) 466
12.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
울산광역시
726 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산광역시 726
100.0%

Length

2023-12-12T19:59:55.024096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:59:55.191694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 726
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
울주군
228 
남구
163 
북구
161 
중구
107 
동구
67 

Length

Max length3
Median length2
Mean length2.3140496
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울주군
2nd row울주군
3rd row울주군
4th row북구
5th row중구

Common Values

ValueCountFrequency (%)
울주군 228
31.4%
남구 163
22.5%
북구 161
22.2%
중구 107
14.7%
동구 67
 
9.2%

Length

2023-12-12T19:59:55.362648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:59:55.548810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울주군 228
31.4%
남구 163
22.5%
북구 161
22.2%
중구 107
14.7%
동구 67
 
9.2%

도로종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
시도
593 
군도
74 
일반국도
 
51
지방도
 
6
구도
 
2

Length

Max length4
Median length2
Mean length2.1487603
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row군도
2nd row군도
3rd row지방도
4th row시도
5th row시도

Common Values

ValueCountFrequency (%)
시도 593
81.7%
군도 74
 
10.2%
일반국도 51
 
7.0%
지방도 6
 
0.8%
구도 2
 
0.3%

Length

2023-12-12T19:59:55.770849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:59:55.968138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 593
81.7%
군도 74
 
10.2%
일반국도 51
 
7.0%
지방도 6
 
0.8%
구도 2
 
0.3%

도로노선번호
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
해당없음
399 
7
42 
21
 
39
51
 
38
70
 
27
Other values (16)
181 

Length

Max length4
Median length4
Mean length3.0413223
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row해당없음
2nd row해당없음
3rd row34
4th row41
5th row11

Common Values

ValueCountFrequency (%)
해당없음 399
55.0%
7 42
 
5.8%
21 39
 
5.4%
51 38
 
5.2%
70 27
 
3.7%
41 23
 
3.2%
31 23
 
3.2%
24 19
 
2.6%
35 17
 
2.3%
30 14
 
1.9%
Other values (11) 85
 
11.7%

Length

2023-12-12T19:59:56.167436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 399
55.0%
7 42
 
5.8%
21 39
 
5.4%
51 38
 
5.2%
70 27
 
3.7%
41 23
 
3.2%
31 23
 
3.2%
24 19
 
2.6%
35 17
 
2.3%
14 14
 
1.9%
Other values (11) 85
 
11.7%

도로노선명
Text

Distinct214
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T19:59:56.623067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.8112948
Min length3

Characters and Unicode

Total characters2767
Distinct characters171
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)7.4%

Sample

1st row덕신외로
2nd row덕신외로
3rd row삼동로
4th row산업로
5th row다전로
ValueCountFrequency (%)
산업로 23
 
3.2%
북부순환도로 21
 
2.9%
반구대로 17
 
2.3%
방어진순환도로 15
 
2.1%
번영로 14
 
1.9%
종가로 13
 
1.8%
오토밸리로 13
 
1.8%
웅촌로 13
 
1.8%
해맞이로 13
 
1.8%
염포로 12
 
1.7%
Other values (204) 572
78.8%
2023-12-12T19:59:57.833277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 634
22.9%
산 123
 
4.4%
길 103
 
3.7%
도 55
 
2.0%
동 51
 
1.8%
남 50
 
1.8%
순 47
 
1.7%
환 47
 
1.7%
대 41
 
1.5%
업 41
 
1.5%
Other values (161) 1575
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2645
95.6%
Decimal Number 122
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 634
24.0%
산 123
 
4.7%
길 103
 
3.9%
도 55
 
2.1%
동 51
 
1.9%
남 50
 
1.9%
순 47
 
1.8%
환 47
 
1.8%
대 41
 
1.6%
업 41
 
1.6%
Other values (151) 1453
54.9%
Decimal Number
ValueCountFrequency (%)
1 33
27.0%
2 23
18.9%
3 20
16.4%
5 14
11.5%
9 10
 
8.2%
4 7
 
5.7%
8 6
 
4.9%
6 5
 
4.1%
7 2
 
1.6%
0 2
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2645
95.6%
Common 122
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 634
24.0%
산 123
 
4.7%
길 103
 
3.9%
도 55
 
2.1%
동 51
 
1.9%
남 50
 
1.9%
순 47
 
1.8%
환 47
 
1.8%
대 41
 
1.6%
업 41
 
1.6%
Other values (151) 1453
54.9%
Common
ValueCountFrequency (%)
1 33
27.0%
2 23
18.9%
3 20
16.4%
5 14
11.5%
9 10
 
8.2%
4 7
 
5.7%
8 6
 
4.9%
6 5
 
4.1%
7 2
 
1.6%
0 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2645
95.6%
ASCII 122
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 634
24.0%
산 123
 
4.7%
길 103
 
3.9%
도 55
 
2.1%
동 51
 
1.9%
남 50
 
1.9%
순 47
 
1.8%
환 47
 
1.8%
대 41
 
1.6%
업 41
 
1.6%
Other values (151) 1453
54.9%
ASCII
ValueCountFrequency (%)
1 33
27.0%
2 23
18.9%
3 20
16.4%
5 14
11.5%
9 10
 
8.2%
4 7
 
5.7%
8 6
 
4.9%
6 5
 
4.1%
7 2
 
1.6%
0 2
 
1.6%

도로노선방향
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
396 
2
328 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 396
54.5%
2 328
45.2%
3 2
 
0.3%

Length

2023-12-12T19:59:58.052661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:59:58.210743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 396
54.5%
2 328
45.2%
3 2
 
0.3%

소재지도로명주소
Text

Distinct725
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T19:59:58.693606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length24.225895
Min length15

Characters and Unicode

Total characters17588
Distinct characters308
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

Unique724 ?
Unique (%)99.7%

Sample

1st row울산광역시 울주군 덕신외로 179
2nd row울산광역시 울주군 덕신외로 256
3rd row울산광역시 울주군 삼동면 삼동로 0
4th row울산광역시 북구 산업로 1307
5th row울산광역시 중구 다전로 26
ValueCountFrequency (%)
울산광역시 726
22.1%
울주군 229
 
7.0%
남구 161
 
4.9%
북구 161
 
4.9%
중구 107
 
3.3%
동구 67
 
2.0%
온산읍 26
 
0.8%
범서읍 24
 
0.7%
산업로 23
 
0.7%
0 23
 
0.7%
Other values (931) 1742
53.0%
2023-12-12T19:59:59.469936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2566
 
14.6%
산 1015
 
5.8%
울 1002
 
5.7%
역 742
 
4.2%
시 742
 
4.2%
광 730
 
4.2%
로 706
 
4.0%
구 575
 
3.3%
동 404
 
2.3%
) 359
 
2.0%
Other values (298) 8747
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12761
72.6%
Space Separator 2566
 
14.6%
Decimal Number 1289
 
7.3%
Close Punctuation 361
 
2.1%
Open Punctuation 361
 
2.1%
Dash Punctuation 113
 
0.6%
Math Symbol 100
 
0.6%
Uppercase Letter 33
 
0.2%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1015
 
8.0%
울 1002
 
7.9%
역 742
 
5.8%
시 742
 
5.8%
광 730
 
5.7%
로 706
 
5.5%
구 575
 
4.5%
동 404
 
3.2%
남 267
 
2.1%
교 264
 
2.1%
Other values (267) 6314
49.5%
Uppercase Letter
ValueCountFrequency (%)
C 12
36.4%
I 10
30.3%
T 2
 
6.1%
G 2
 
6.1%
H 1
 
3.0%
L 1
 
3.0%
K 1
 
3.0%
V 1
 
3.0%
M 1
 
3.0%
B 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 312
24.2%
2 155
12.0%
3 150
11.6%
0 134
10.4%
5 119
 
9.2%
4 106
 
8.2%
7 88
 
6.8%
9 81
 
6.3%
6 79
 
6.1%
8 65
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 359
99.4%
] 2
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 359
99.4%
[ 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
2566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Math Symbol
ValueCountFrequency (%)
> 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12761
72.6%
Common 4792
 
27.2%
Latin 35
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1015
 
8.0%
울 1002
 
7.9%
역 742
 
5.8%
시 742
 
5.8%
광 730
 
5.7%
로 706
 
5.5%
구 575
 
4.5%
동 404
 
3.2%
남 267
 
2.1%
교 264
 
2.1%
Other values (267) 6314
49.5%
Common
ValueCountFrequency (%)
2566
53.5%
) 359
 
7.5%
( 359
 
7.5%
1 312
 
6.5%
2 155
 
3.2%
3 150
 
3.1%
0 134
 
2.8%
5 119
 
2.5%
- 113
 
2.4%
4 106
 
2.2%
Other values (8) 419
 
8.7%
Latin
ValueCountFrequency (%)
C 12
34.3%
I 10
28.6%
T 2
 
5.7%
G 2
 
5.7%
H 1
 
2.9%
L 1
 
2.9%
K 1
 
2.9%
V 1
 
2.9%
M 1
 
2.9%
B 1
 
2.9%
Other values (3) 3
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12761
72.6%
ASCII 4827
 
27.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2566
53.2%
) 359
 
7.4%
( 359
 
7.4%
1 312
 
6.5%
2 155
 
3.2%
3 150
 
3.1%
0 134
 
2.8%
5 119
 
2.5%
- 113
 
2.3%
4 106
 
2.2%
Other values (21) 454
 
9.4%
Hangul
ValueCountFrequency (%)
산 1015
 
8.0%
울 1002
 
7.9%
역 742
 
5.8%
시 742
 
5.8%
광 730
 
5.7%
로 706
 
5.5%
구 575
 
4.5%
동 404
 
3.2%
남 267
 
2.1%
교 264
 
2.1%
Other values (267) 6314
49.5%

소재지지번주소
Text

Distinct620
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T19:59:59.914256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.371901
Min length14

Characters and Unicode

Total characters14064
Distinct characters135
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique526 ?
Unique (%)72.5%

Sample

1st row울산광역시 울주군 온양읍 동상리 21
2nd row울산광역시 울주군 온산읍 화산리 543
3rd row울산광역시 울주군 삼동면 하잠리471
4th row울산광역시 북구 창평동 1080-6
5th row울산광역시 중구 다운동 345-1
ValueCountFrequency (%)
울산광역시 726
23.0%
울주군 226
 
7.2%
북구 166
 
5.3%
남구 163
 
5.2%
중구 107
 
3.4%
동구 62
 
2.0%
온산읍 42
 
1.3%
범서읍 35
 
1.1%
청량읍 35
 
1.1%
산 29
 
0.9%
Other values (732) 1565
49.6%
2023-12-12T20:00:00.651219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2534
18.0%
울 952
 
6.8%
산 884
 
6.3%
시 728
 
5.2%
역 726
 
5.2%
광 726
 
5.2%
동 597
 
4.2%
1 554
 
3.9%
구 515
 
3.7%
- 491
 
3.5%
Other values (125) 5357
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8158
58.0%
Decimal Number 2881
 
20.5%
Space Separator 2534
 
18.0%
Dash Punctuation 491
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 952
11.7%
산 884
 
10.8%
시 728
 
8.9%
역 726
 
8.9%
광 726
 
8.9%
동 597
 
7.3%
구 515
 
6.3%
주 230
 
2.8%
리 227
 
2.8%
군 226
 
2.8%
Other values (113) 2347
28.8%
Decimal Number
ValueCountFrequency (%)
1 554
19.2%
2 335
11.6%
3 311
10.8%
4 280
9.7%
7 268
9.3%
5 247
8.6%
6 245
8.5%
8 220
 
7.6%
9 217
 
7.5%
0 204
 
7.1%
Space Separator
ValueCountFrequency (%)
2534
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 491
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8158
58.0%
Common 5906
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 952
11.7%
산 884
 
10.8%
시 728
 
8.9%
역 726
 
8.9%
광 726
 
8.9%
동 597
 
7.3%
구 515
 
6.3%
주 230
 
2.8%
리 227
 
2.8%
군 226
 
2.8%
Other values (113) 2347
28.8%
Common
ValueCountFrequency (%)
2534
42.9%
1 554
 
9.4%
- 491
 
8.3%
2 335
 
5.7%
3 311
 
5.3%
4 280
 
4.7%
7 268
 
4.5%
5 247
 
4.2%
6 245
 
4.1%
8 220
 
3.7%
Other values (2) 421
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8158
58.0%
ASCII 5906
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2534
42.9%
1 554
 
9.4%
- 491
 
8.3%
2 335
 
5.7%
3 311
 
5.3%
4 280
 
4.7%
7 268
 
4.5%
5 247
 
4.2%
6 245
 
4.1%
8 220
 
3.7%
Other values (2) 421
 
7.1%
Hangul
ValueCountFrequency (%)
울 952
11.7%
산 884
 
10.8%
시 728
 
8.9%
역 726
 
8.9%
광 726
 
8.9%
동 597
 
7.3%
구 515
 
6.3%
주 230
 
2.8%
리 227
 
2.8%
군 226
 
2.8%
Other values (113) 2347
28.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct712
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.544211
Minimum35.338865
Maximum35.714585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T20:00:00.937002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.338865
5-th percentile35.418823
Q135.513533
median35.549755
Q335.578787
95-th percentile35.642683
Maximum35.714585
Range0.37572
Interquartile range (IQR)0.06525387

Descriptive statistics

Standard deviation0.06380483
Coefficient of variation (CV)0.0017950836
Kurtosis0.64001941
Mean35.544211
Median Absolute Deviation (MAD)0.03250695
Skewness-0.51809045
Sum25805.097
Variance0.0040710563
MonotonicityNot monotonic
2023-12-12T20:00:01.214639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.6318915 2
 
0.3%
35.6200833 2
 
0.3%
35.6443298 2
 
0.3%
35.5528479 2
 
0.3%
35.5990833 2
 
0.3%
35.4782778 2
 
0.3%
35.4680278 2
 
0.3%
35.5643996 2
 
0.3%
35.603109 2
 
0.3%
35.539874 2
 
0.3%
Other values (702) 706
97.2%
ValueCountFrequency (%)
35.3388654 1
0.1%
35.34462876 1
0.1%
35.348355 1
0.1%
35.3505287 1
0.1%
35.3505576 1
0.1%
35.3517827 1
0.1%
35.3519971 1
0.1%
35.3557522 1
0.1%
35.3569576 1
0.1%
35.360902 1
0.1%
ValueCountFrequency (%)
35.7145854 1
0.1%
35.7081171 1
0.1%
35.70573438 1
0.1%
35.6933664 1
0.1%
35.6894438 1
0.1%
35.6706126 1
0.1%
35.6619938 1
0.1%
35.6619633 1
0.1%
35.6566266 1
0.1%
35.6565289 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct717
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.31215
Minimum129.05405
Maximum129.45712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T20:00:01.476383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.05405
5-th percentile129.13361
Q1129.28496
median129.32794
Q3129.35657
95-th percentile129.42515
Maximum129.45712
Range0.4030682
Interquartile range (IQR)0.071617125

Descriptive statistics

Standard deviation0.076037908
Coefficient of variation (CV)0.0005880183
Kurtosis1.0438791
Mean129.31215
Median Absolute Deviation (MAD)0.03257275
Skewness-1.0088068
Sum93880.618
Variance0.0057817635
MonotonicityNot monotonic
2023-12-12T20:00:01.731105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.362501 2
 
0.3%
129.3689444 2
 
0.3%
129.3728889 2
 
0.3%
129.3410278 2
 
0.3%
129.3748369 2
 
0.3%
129.3215556 2
 
0.3%
129.3096111 2
 
0.3%
129.365443 2
 
0.3%
129.336287 2
 
0.3%
129.3194266 1
 
0.1%
Other values (707) 707
97.4%
ValueCountFrequency (%)
129.0540523 1
0.1%
129.070877 1
0.1%
129.0849372 1
0.1%
129.0881612 1
0.1%
129.0922918 1
0.1%
129.092383 1
0.1%
129.0939816 1
0.1%
129.0941264 1
0.1%
129.0970607 1
0.1%
129.0995529 1
0.1%
ValueCountFrequency (%)
129.4571205 1
0.1%
129.4571138 1
0.1%
129.4520221 1
0.1%
129.4500164 1
0.1%
129.4489554 1
0.1%
129.4407013 1
0.1%
129.4397804 1
0.1%
129.4396902 1
0.1%
129.4372494 1
0.1%
129.4369973 1
0.1%

설치장소
Text

UNIQUE 

Distinct726
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T20:00:02.181504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length29.108815
Min length16

Characters and Unicode

Total characters21133
Distinct characters366
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

Unique726 ?
Unique (%)100.0%

Sample

1st row울산광역시 울주군 온산읍 덕신외로 온산터널(온양)
2nd row울산광역시 울주군 온산읍 덕신외로 온산터널(온산)
3rd row울산광역시 울주군 삼동면 삼동로 삼동1(삼남)
4th row울산광역시 북구 산업로 현대오일뱅크(공항)
5th row울산광역시 중구 다운로 다운중학교(태화동)
ValueCountFrequency (%)
울산광역시 725
 
20.7%
울주군 229
 
6.5%
북구 161
 
4.6%
남구 161
 
4.6%
중구 107
 
3.1%
동구 67
 
1.9%
온산읍 47
 
1.3%
범서읍 35
 
1.0%
청량읍 30
 
0.9%
언양읍 27
 
0.8%
Other values (1118) 1911
54.6%
2023-12-12T20:00:02.896374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2780
 
13.2%
산 1140
 
5.4%
울 1038
 
4.9%
역 752
 
3.6%
시 750
 
3.5%
로 731
 
3.5%
광 730
 
3.5%
) 717
 
3.4%
( 717
 
3.4%
구 637
 
3.0%
Other values (356) 11141
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15884
75.2%
Space Separator 2780
 
13.2%
Close Punctuation 719
 
3.4%
Open Punctuation 719
 
3.4%
Decimal Number 668
 
3.2%
Dash Punctuation 176
 
0.8%
Math Symbol 100
 
0.5%
Uppercase Letter 83
 
0.4%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1140
 
7.2%
울 1038
 
6.5%
역 752
 
4.7%
시 750
 
4.7%
로 731
 
4.6%
광 730
 
4.6%
구 637
 
4.0%
동 477
 
3.0%
교 339
 
2.1%
리 304
 
1.9%
Other values (317) 8986
56.6%
Uppercase Letter
ValueCountFrequency (%)
C 19
22.9%
I 13
15.7%
S 11
13.3%
K 10
12.0%
G 5
 
6.0%
L 4
 
4.8%
H 3
 
3.6%
B 3
 
3.6%
T 3
 
3.6%
P 2
 
2.4%
Other values (9) 10
12.0%
Decimal Number
ValueCountFrequency (%)
1 209
31.3%
2 93
13.9%
3 76
 
11.4%
5 56
 
8.4%
9 51
 
7.6%
6 45
 
6.7%
4 43
 
6.4%
8 36
 
5.4%
7 33
 
4.9%
0 26
 
3.9%
Close Punctuation
ValueCountFrequency (%)
) 717
99.7%
] 2
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 717
99.7%
[ 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
2780
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Math Symbol
ValueCountFrequency (%)
> 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15884
75.2%
Common 5164
 
24.4%
Latin 85
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1140
 
7.2%
울 1038
 
6.5%
역 752
 
4.7%
시 750
 
4.7%
로 731
 
4.6%
광 730
 
4.6%
구 637
 
4.0%
동 477
 
3.0%
교 339
 
2.1%
리 304
 
1.9%
Other values (317) 8986
56.6%
Latin
ValueCountFrequency (%)
C 19
22.4%
I 13
15.3%
S 11
12.9%
K 10
11.8%
G 5
 
5.9%
L 4
 
4.7%
H 3
 
3.5%
B 3
 
3.5%
T 3
 
3.5%
P 2
 
2.4%
Other values (11) 12
14.1%
Common
ValueCountFrequency (%)
2780
53.8%
) 717
 
13.9%
( 717
 
13.9%
1 209
 
4.0%
- 176
 
3.4%
> 100
 
1.9%
2 93
 
1.8%
3 76
 
1.5%
5 56
 
1.1%
9 51
 
1.0%
Other values (8) 189
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15884
75.2%
ASCII 5249
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2780
53.0%
) 717
 
13.7%
( 717
 
13.7%
1 209
 
4.0%
- 176
 
3.4%
> 100
 
1.9%
2 93
 
1.8%
3 76
 
1.4%
5 56
 
1.1%
9 51
 
1.0%
Other values (29) 274
 
5.2%
Hangul
ValueCountFrequency (%)
산 1140
 
7.2%
울 1038
 
6.5%
역 752
 
4.7%
시 750
 
4.7%
로 731
 
4.6%
광 730
 
4.6%
구 637
 
4.0%
동 477
 
3.0%
교 339
 
2.1%
리 304
 
1.9%
Other values (317) 8986
56.6%

단속구분
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2
503 
1
213 
3
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 503
69.3%
1 213
29.3%
3 10
 
1.4%

Length

2023-12-12T20:00:03.095995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:03.252058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 503
69.3%
1 213
29.3%
3 10
 
1.4%

제한속도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.115702
Minimum30
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T20:00:03.402540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q130
median50
Q360
95-th percentile80
Maximum80
Range50
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.525687
Coefficient of variation (CV)0.32329961
Kurtosis-1.22401
Mean51.115702
Median Absolute Deviation (MAD)20
Skewness-0.031481082
Sum37110
Variance273.09832
MonotonicityNot monotonic
2023-12-12T20:00:03.606741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
30 229
31.5%
60 191
26.3%
50 143
19.7%
70 101
13.9%
80 52
 
7.2%
40 10
 
1.4%
ValueCountFrequency (%)
30 229
31.5%
40 10
 
1.4%
50 143
19.7%
60 191
26.3%
70 101
13.9%
80 52
 
7.2%
ValueCountFrequency (%)
80 52
 
7.2%
70 101
13.9%
60 191
26.3%
50 143
19.7%
40 10
 
1.4%
30 229
31.5%

보호구역구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
1
494 
2
232 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 494
68.0%
2 232
32.0%

Length

2023-12-12T20:00:03.799252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:03.960685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 494
68.0%
2 232
32.0%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.1033
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.5 KiB
2023-12-12T20:00:04.118764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2013.25
Q12018
median2020
Q32021
95-th percentile2021
Maximum2022
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5712608
Coefficient of variation (CV)0.0012734667
Kurtosis1.1261134
Mean2019.1033
Median Absolute Deviation (MAD)1
Skewness-1.362595
Sum1465869
Variance6.6113822
MonotonicityNot monotonic
2023-12-12T20:00:04.314122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2021 288
39.7%
2020 123
16.9%
2019 77
 
10.6%
2017 55
 
7.6%
2016 49
 
6.7%
2018 37
 
5.1%
2014 32
 
4.4%
2022 28
 
3.9%
2013 19
 
2.6%
2011 14
 
1.9%
ValueCountFrequency (%)
2011 14
 
1.9%
2012 4
 
0.6%
2013 19
 
2.6%
2014 32
 
4.4%
2016 49
 
6.7%
2017 55
 
7.6%
2018 37
 
5.1%
2019 77
 
10.6%
2020 123
16.9%
2021 288
39.7%
ValueCountFrequency (%)
2022 28
 
3.9%
2021 288
39.7%
2020 123
16.9%
2019 77
 
10.6%
2018 37
 
5.1%
2017 55
 
7.6%
2016 49
 
6.7%
2014 32
 
4.4%
2013 19
 
2.6%
2012 4
 
0.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
울산경찰청
726 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
울산경찰청 726
100.0%

Length

2023-12-12T20:00:04.551779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:04.763690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산경찰청 726
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
052-210-2506
726 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-210-2506
2nd row052-210-2506
3rd row052-210-2506
4th row052-210-2506
5th row052-210-2506

Common Values

ValueCountFrequency (%)
052-210-2506 726
100.0%

Length

2023-12-12T20:00:04.953622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:05.166976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-210-2506 726
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2022-12-31
726 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 726
100.0%

Length

2023-12-12T20:00:05.368595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:00:05.542899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 726
100.0%

Interactions

2023-12-12T19:59:52.313541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:49.728986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:50.650622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:51.580863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.498497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:49.952056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:50.923089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:51.767296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.690927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:50.194412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:51.178087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:51.994539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.842690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:50.423436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:51.425522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:59:52.148022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:00:05.667110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명도로종류도로노선번호도로노선방향위도경도단속구분제한속도보호구역구분설치연도
시군구명1.0000.7150.6810.0000.8420.9010.2630.2440.0540.292
도로종류0.7151.0000.8260.0000.5080.6600.1100.2860.1400.385
도로노선번호0.6810.8261.0000.0000.5380.6650.5260.7140.4960.627
도로노선방향0.0000.0000.0001.0000.1900.0000.0000.1150.0000.198
위도0.8420.5080.5380.1901.0000.6430.1830.3490.1640.253
경도0.9010.6600.6650.0000.6431.0000.2080.2420.1340.189
단속구분0.2630.1100.5260.0000.1830.2081.0000.4420.0390.253
제한속도0.2440.2860.7140.1150.3490.2420.4421.0000.9730.541
보호구역구분0.0540.1400.4960.0000.1640.1340.0390.9731.0000.509
설치연도0.2920.3850.6270.1980.2530.1890.2530.5410.5091.000
2023-12-12T20:00:05.862253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로종류시군구명보호구역구분단속구분도로노선방향도로노선번호
도로종류1.0000.3420.1700.0830.0000.578
시군구명0.3421.0000.0650.2050.0000.411
보호구역구분0.1700.0651.0000.0650.0000.432
단속구분0.0830.2050.0651.0000.0000.282
도로노선방향0.0000.0000.0000.0001.0000.000
도로노선번호0.5780.4110.4320.2820.0001.000
2023-12-12T20:00:06.040470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도제한속도설치연도시군구명도로종류도로노선번호도로노선방향단속구분보호구역구분
위도1.0000.051-0.1200.0020.5040.2340.2280.1140.1100.125
경도0.0511.000-0.0400.0100.5890.3320.3150.0000.1300.090
제한속도-0.120-0.0401.000-0.5710.1680.1980.4140.0470.2030.850
설치연도0.0020.010-0.5711.0000.1690.2330.2770.0900.1450.515
시군구명0.5040.5890.1680.1691.0000.3420.4110.0000.2050.065
도로종류0.2340.3320.1980.2330.3421.0000.5780.0000.0830.170
도로노선번호0.2280.3150.4140.2770.4110.5781.0000.0000.2820.432
도로노선방향0.1140.0000.0470.0900.0000.0000.0001.0000.0000.000
단속구분0.1100.1300.2030.1450.2050.0830.2820.0001.0000.065
보호구역구분0.1250.0900.8500.5150.0650.1700.4320.0000.0651.000

Missing values

2023-12-12T19:59:53.078059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:59:53.421531image/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

무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
0F6190울산광역시울주군군도해당없음덕신외로1울산광역시 울주군 덕신외로 179울산광역시 울주군 온양읍 동상리 2135.424884129.309222울산광역시 울주군 온산읍 덕신외로 온산터널(온양)17012011울산경찰청052-210-25062022-12-31
1F6191울산광역시울주군군도해당없음덕신외로2울산광역시 울주군 덕신외로 256울산광역시 울주군 온산읍 화산리 54335.431353129.325209울산광역시 울주군 온산읍 덕신외로 온산터널(온산)17012011울산경찰청052-210-25062022-12-31
2F6221울산광역시울주군지방도34삼동로2울산광역시 울주군 삼동면 삼동로 0울산광역시 울주군 삼동면 하잠리47135.522295129.164818울산광역시 울주군 삼동면 삼동로 삼동1(삼남)16012011울산경찰청052-210-25062022-12-31
3F6582울산광역시북구시도41산업로1울산광역시 북구 산업로 1307울산광역시 북구 창평동 1080-635.615516129.352315울산광역시 북구 산업로 현대오일뱅크(공항)17012011울산경찰청052-210-25062022-12-31
4F6583울산광역시중구시도11다전로1울산광역시 중구 다전로 26울산광역시 중구 다운동 345-135.56956129.270229울산광역시 중구 다운로 다운중학교(태화동)16012011울산경찰청052-210-25062022-12-31
5F6584울산광역시북구시도해당없음오토밸리로1울산광역시 북구 오토벨리로 277울산광역시 북구 연암동 1320-1735.583351129.371946울산광역시 북구 오토벨리로 연암IC(효문)17012011울산경찰청052-210-25062022-12-31
6F6585울산광역시북구시도60아산로1울산광역시 북구 아산로 114울산광역시 북구 명촌동 62-635.541063129.373094울산광역시 북구 아산로(동구)17012011울산경찰청052-210-25062022-12-31
7F6586울산광역시북구시도21동해안로1울산광역시 북구 동해안로 1845-38울산광역시 북구 신명동 산 51-735.645862129.440701울산광역시 북구 무룡로 신명1(울산)18012011울산경찰청052-210-25062022-12-31
8F6587울산광역시동구시도해당없음미포산업로1울산광역시 동구 미포산업로 513울산광역시 북구 어물동 34035.575995129.43978울산광역시 동구 미포산업로(강동)16012011울산경찰청052-210-25062022-12-31
9F6588울산광역시동구시도해당없음미포산업로2울산광역시 동구 미포산업로 371울산광역시 동구 주전동 37935.557937129.452022울산광역시 동구 미포산업로(주전)16012011울산경찰청052-210-25062022-12-31
무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
716H1273울산광역시남구시도41산업로1울산광역시 남구 선암동 산업로 명동삼거리(변전소사거리->두왕)울산광역시 남구 선암동 321-3835.509633129.335048울산광역시 남구 선암동 321-38 산업로 명동삼거리(변전소사거리->두왕)27012022울산경찰청052-210-25062022-12-31
717H1274울산광역시남구시도41산업로2울산광역시 남구 선암동 산업로 명동삼거리(감나무진고가교->명동삼거리)울산광역시 남구 선암동 308-3435.509712129.33626울산광역시 남구 선암동 308-34 산업로 명동삼거리(감나무진고가교->명동삼거리)27012022울산경찰청052-210-25062022-12-31
718H1275울산광역시북구시도70염포로1울산광역시 북구 염포동 염포로 염포중리마을(효문->염포)울산광역시 북구 염포동 481-1935.528054129.396728울산광역시 북구 염포동 481-19 염포로 염포중리마을(효문->염포)15012022울산경찰청052-210-25062022-12-31
719H2221울산광역시북구시도60아산로1울산광역시 북구 명촌동 아산로 양정2교앞(명촌->염포)울산광역시 북구 명촌동 28-835.539874129.374837울산광역시 북구 명촌동 28-8 아산로 양정2교앞(명촌->염포)17012022울산경찰청052-210-25062022-12-31
720H2222울산광역시북구시도60아산로2울산광역시 북구 명촌동 아산로 양정2교앞(염포->명촌)울산광역시 북구 명촌동 28-835.539874129.374837울산광역시 북구 명촌동 28-8 아산로 양정2교앞(염포->명촌)17012022울산경찰청052-210-25062022-12-31
721H2223울산광역시북구시도60아산로1울산광역시 북구 염포동 아산로 자동차선적장앞(명촌->염포)울산광역시 북구 염포동 265-2935.523664129.391453울산광역시 북구 염포동 265-29 아산로 자동차선적장앞(명촌->염포)27012022울산경찰청052-210-25062022-12-31
722H2224울산광역시북구시도60아산로2울산광역시 북구 염포동 아산로 자동차선적장앞(염포->명촌)울산광역시 북구 염포동 265-2935.523697129.391621울산광역시 북구 염포동 265-29 아산로 자동차선적장앞(염포->명촌)27012022울산경찰청052-210-25062022-12-31
723H2225울산광역시북구시도70염포로2울산광역시 북구 양정동 염포로 현대자동차정문(염포->효문)울산광역시 북구 양정동 597-1535.543169129.385086울산광역시 북구 양정동 597-15 염포로 현대자동차정문(염포->효문)25012022울산경찰청052-210-25062022-12-31
724H2226울산광역시동구시도해당없음등대로1울산광역시 동구 방어동 등대로 대왕암CGV(등대사거리->대왕암)울산광역시 동구 방어동 97-135.490352129.430695울산광역시 동구 방어동 97-1 등대로 대왕암CGV(등대사거리->대왕암)25012022울산경찰청052-210-25062022-12-31
725H2227울산광역시울주군지방도31활천내와로1울산광역시 울주군 두서면 활천내와로 하활천경로당앞(활천IC->경부고속도로)울산광역시 울주군 두서면 활천리 293-1035.705734129.190412울산광역시 울주군 두서면 활천리 293-10 활천내와로 하활천경로당앞(활천IC->경부고속도로)13012022울산경찰청052-210-25062022-12-31