Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells15993
Missing cells (%)4.7%
Duplicate rows390
Duplicate rows (%)3.9%
Total size in memory2.8 MiB
Average record size in memory292.0 B

Variable types

Categorical12
Text9
Unsupported2
Numeric6
Boolean5

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15028198/standard.do

Alerts

Dataset has 390 (3.9%) duplicate rowsDuplicates
도로형태 is highly imbalanced (58.2%)Imbalance
광원종류 is highly imbalanced (98.1%)Imbalance
점멸등운영시작시각 is highly imbalanced (86.7%)Imbalance
점멸등운영종료시각 is highly imbalanced (70.4%)Imbalance
보행자작동신호기유무 is highly imbalanced (63.4%)Imbalance
시각장애인용음향신호기유무 is highly imbalanced (58.0%)Imbalance
도로안내표지일련번호 is highly imbalanced (96.7%)Imbalance
도로노선번호 has 7173 (71.7%) missing valuesMissing
소재지도로명주소 has 8770 (87.7%) missing valuesMissing
도로노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
신호등관리번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 10:38:23.120245
Analysis finished2024-05-11 10:38:26.066461
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도
4224 
대전광역시
3229 
전북특별자치도
 
420
강원특별자치도
 
369
경상남도
 
306
Other values (9)
1452 

Length

Max length7
Median length5
Mean length4.1299
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시
2nd row경기도
3rd row대전광역시
4th row경기도
5th row전라북도

Common Values

ValueCountFrequency (%)
경기도 4224
42.2%
대전광역시 3229
32.3%
전북특별자치도 420
 
4.2%
강원특별자치도 369
 
3.7%
경상남도 306
 
3.1%
강원도 300
 
3.0%
전라남도 289
 
2.9%
전라북도 273
 
2.7%
충청남도 226
 
2.3%
경상북도 166
 
1.7%
Other values (4) 198
 
2.0%

Length

2024-05-11T10:38:26.382414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 4224
42.2%
대전광역시 3229
32.3%
전북특별자치도 420
 
4.2%
강원특별자치도 369
 
3.7%
경상남도 306
 
3.1%
강원도 300
 
3.0%
전라남도 289
 
2.9%
전라북도 273
 
2.7%
충청남도 226
 
2.3%
경상북도 166
 
1.7%
Other values (4) 198
 
2.0%

시군구명
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:27.387616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1156
Min length2

Characters and Unicode

Total characters31156
Distinct characters61
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row북구
2nd row의정부시
3rd row대덕구
4th row포천시
5th row전주시 완산구
ValueCountFrequency (%)
의정부시 1481
14.7%
남양주시 1229
12.2%
유성구 796
 
7.9%
서구 795
 
7.9%
양주시 794
 
7.9%
중구 651
 
6.4%
동해시 516
 
5.1%
대덕구 499
 
4.9%
동구 492
 
4.9%
익산시 422
 
4.2%
Other values (45) 2430
24.0%
2024-05-11T10:38:28.685268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6436
20.7%
구 3830
12.3%
주 2375
 
7.6%
양 2181
 
7.0%
부 1537
 
4.9%
정 1519
 
4.9%
의 1498
 
4.8%
남 1237
 
4.0%
동 1142
 
3.7%
산 938
 
3.0%
Other values (51) 8463
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31047
99.7%
Space Separator 109
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6436
20.7%
구 3830
12.3%
주 2375
 
7.6%
양 2181
 
7.0%
부 1537
 
5.0%
정 1519
 
4.9%
의 1498
 
4.8%
남 1237
 
4.0%
동 1142
 
3.7%
산 938
 
3.0%
Other values (49) 8354
26.9%
Space Separator
ValueCountFrequency (%)
105
96.3%
　 4
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31047
99.7%
Common 109
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6436
20.7%
구 3830
12.3%
주 2375
 
7.6%
양 2181
 
7.0%
부 1537
 
5.0%
정 1519
 
4.9%
의 1498
 
4.8%
남 1237
 
4.0%
동 1142
 
3.7%
산 938
 
3.0%
Other values (49) 8354
26.9%
Common
ValueCountFrequency (%)
105
96.3%
　 4
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31047
99.7%
ASCII 105
 
0.3%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6436
20.7%
구 3830
12.3%
주 2375
 
7.6%
양 2181
 
7.0%
부 1537
 
5.0%
정 1519
 
4.9%
의 1498
 
4.8%
남 1237
 
4.0%
동 1142
 
3.7%
산 938
 
3.0%
Other values (49) 8354
26.9%
ASCII
ValueCountFrequency (%)
105
100.0%
None
ValueCountFrequency (%)
　 4
100.0%

도로종류
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시도
4770 
특별시도
2513 
일반국도
1499 
지방도
831 
기타
 
353
Other values (3)
 
34

Length

Max length7
Median length2
Mean length2.8899
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반국도
2nd row시도
3rd row일반국도
4th row일반국도
5th row시도

Common Values

ValueCountFrequency (%)
시도 4770
47.7%
특별시도 2513
25.1%
일반국도 1499
 
15.0%
지방도 831
 
8.3%
기타 353
 
3.5%
군도 24
 
0.2%
국가지원지방도 8
 
0.1%
고속국도 2
 
< 0.1%

Length

2024-05-11T10:38:29.211128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:29.666492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 4770
47.7%
특별시도 2513
25.1%
일반국도 1499
 
15.0%
지방도 831
 
8.3%
기타 353
 
3.5%
군도 24
 
0.2%
국가지원지방도 8
 
0.1%
고속국도 2
 
< 0.1%

도로노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7173
Missing (%)71.7%
Memory size156.2 KiB

도로노선명
Text

Distinct1834
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:30.888728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length4.0004
Min length1

Characters and Unicode

Total characters40004
Distinct characters370
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique743 ?
Unique (%)7.4%

Sample

1st row팔달로
2nd row장곡로628번길
3rd row대전로
4th row포천로
5th row용머리로
ValueCountFrequency (%)
대전로 139
 
1.4%
평화로 138
 
1.4%
호국로 135
 
1.3%
경춘로 134
 
1.3%
동해대로 125
 
1.2%
계룡로 109
 
1.1%
대덕대로 102
 
1.0%
계백로 89
 
0.9%
용민로 77
 
0.8%
부흥로 75
 
0.7%
Other values (1826) 8881
88.8%
2024-05-11T10:38:32.278503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9588
24.0%
길 1569
 
3.9%
대 1447
 
3.6%
번 992
 
2.5%
동 963
 
2.4%
산 829
 
2.1%
1 822
 
2.1%
2 559
 
1.4%
화 457
 
1.1%
서 444
 
1.1%
Other values (360) 22334
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36408
91.0%
Decimal Number 3592
 
9.0%
Space Separator 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9588
26.3%
길 1569
 
4.3%
대 1447
 
4.0%
번 992
 
2.7%
동 963
 
2.6%
산 829
 
2.3%
화 457
 
1.3%
서 444
 
1.2%
천 413
 
1.1%
평 359
 
1.0%
Other values (349) 19347
53.1%
Decimal Number
ValueCountFrequency (%)
1 822
22.9%
2 559
15.6%
3 377
10.5%
4 337
9.4%
6 315
 
8.8%
5 289
 
8.0%
0 270
 
7.5%
8 217
 
6.0%
7 212
 
5.9%
9 194
 
5.4%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36408
91.0%
Common 3596
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9588
26.3%
길 1569
 
4.3%
대 1447
 
4.0%
번 992
 
2.7%
동 963
 
2.6%
산 829
 
2.3%
화 457
 
1.3%
서 444
 
1.2%
천 413
 
1.1%
평 359
 
1.0%
Other values (349) 19347
53.1%
Common
ValueCountFrequency (%)
1 822
22.9%
2 559
15.5%
3 377
10.5%
4 337
9.4%
6 315
 
8.8%
5 289
 
8.0%
0 270
 
7.5%
8 217
 
6.0%
7 212
 
5.9%
9 194
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36408
91.0%
ASCII 3596
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9588
26.3%
길 1569
 
4.3%
대 1447
 
4.0%
번 992
 
2.7%
동 963
 
2.6%
산 829
 
2.3%
화 457
 
1.3%
서 444
 
1.2%
천 413
 
1.1%
평 359
 
1.0%
Other values (349) 19347
53.1%
ASCII
ValueCountFrequency (%)
1 822
22.9%
2 559
15.5%
3 377
10.5%
4 337
9.4%
6 315
 
8.8%
5 289
 
8.0%
0 270
 
7.5%
8 217
 
6.0%
7 212
 
5.9%
9 194
 
5.4%

도로노선방향
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5379 
2
2389 
1
2232 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row2
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 5379
53.8%
2 2389
23.9%
1 2232
22.3%

Length

2024-05-11T10:38:32.729308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:33.208235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5379
53.8%
2 2389
23.9%
1 2232
22.3%

소재지도로명주소
Text

MISSING 

Distinct981
Distinct (%)79.8%
Missing8770
Missing (%)87.7%
Memory size156.2 KiB
2024-05-11T10:38:33.931856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length19.137398
Min length13

Characters and Unicode

Total characters23539
Distinct characters278
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique817 ?
Unique (%)66.4%

Sample

1st row대구광역시 북구 팔달로 105
2nd row서울특별시 동작구 솔밭로 88
3rd row전라남도 담양군 담양읍 신성길 26
4th row경기도 수원시 권선구 당진로 42
5th row전라남도 여수시 돌산읍 돌산로 3519
ValueCountFrequency (%)
경기도 654
 
11.8%
남양주시 357
 
6.5%
전라남도 151
 
2.7%
경상남도 125
 
2.3%
동작구 118
 
2.1%
서울특별시 118
 
2.1%
김해시 103
 
1.9%
안산시 96
 
1.7%
진접읍 96
 
1.7%
의정부시 95
 
1.7%
Other values (1211) 3609
65.4%
2024-05-11T10:38:35.280791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4292
 
18.2%
시 1244
 
5.3%
도 1197
 
5.1%
로 1037
 
4.4%
1 849
 
3.6%
경 843
 
3.6%
남 762
 
3.2%
기 675
 
2.9%
2 603
 
2.6%
양 490
 
2.1%
Other values (268) 11547
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14991
63.7%
Space Separator 4292
 
18.2%
Decimal Number 3961
 
16.8%
Dash Punctuation 205
 
0.9%
Close Punctuation 41
 
0.2%
Open Punctuation 41
 
0.2%
Other Punctuation 5
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1244
 
8.3%
도 1197
 
8.0%
로 1037
 
6.9%
경 843
 
5.6%
남 762
 
5.1%
기 675
 
4.5%
양 490
 
3.3%
주 479
 
3.2%
구 352
 
2.3%
동 351
 
2.3%
Other values (250) 7561
50.4%
Decimal Number
ValueCountFrequency (%)
1 849
21.4%
2 603
15.2%
3 430
10.9%
4 373
9.4%
5 344
8.7%
6 305
 
7.7%
0 277
 
7.0%
9 270
 
6.8%
7 264
 
6.7%
8 246
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
E 1
33.3%
Space Separator
ValueCountFrequency (%)
4292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14991
63.7%
Common 8545
36.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1244
 
8.3%
도 1197
 
8.0%
로 1037
 
6.9%
경 843
 
5.6%
남 762
 
5.1%
기 675
 
4.5%
양 490
 
3.3%
주 479
 
3.2%
구 352
 
2.3%
동 351
 
2.3%
Other values (250) 7561
50.4%
Common
ValueCountFrequency (%)
4292
50.2%
1 849
 
9.9%
2 603
 
7.1%
3 430
 
5.0%
4 373
 
4.4%
5 344
 
4.0%
6 305
 
3.6%
0 277
 
3.2%
9 270
 
3.2%
7 264
 
3.1%
Other values (5) 538
 
6.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14991
63.7%
ASCII 8548
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4292
50.2%
1 849
 
9.9%
2 603
 
7.1%
3 430
 
5.0%
4 373
 
4.4%
5 344
 
4.0%
6 305
 
3.6%
0 277
 
3.2%
9 270
 
3.2%
7 264
 
3.1%
Other values (8) 541
 
6.3%
Hangul
ValueCountFrequency (%)
시 1244
 
8.3%
도 1197
 
8.0%
로 1037
 
6.9%
경 843
 
5.6%
남 762
 
5.1%
기 675
 
4.5%
양 490
 
3.3%
주 479
 
3.2%
구 352
 
2.3%
동 351
 
2.3%
Other values (250) 7561
50.4%

소재지지번주소
Text

Distinct5698
Distinct (%)57.2%
Missing46
Missing (%)0.5%
Memory size156.2 KiB
2024-05-11T10:38:36.584334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length18.659534
Min length14

Characters and Unicode

Total characters185737
Distinct characters345
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3992 ?
Unique (%)40.1%

Sample

1st row대구광역시 북구 노원동3가 784-1
2nd row경기도 의정부시 신곡동 813-20
3rd row대전광역시 대덕구 오정동 708
4th row경기도 포천시 군내면 하성북리 669-16
5th row전라북도 전주시 완산구 서완산동1가 205
ValueCountFrequency (%)
경기도 4223
 
10.0%
대전광역시 3229
 
7.6%
의정부시 1481
 
3.5%
남양주시 1229
 
2.9%
서구 796
 
1.9%
유성구 796
 
1.9%
양주시 794
 
1.9%
중구 651
 
1.5%
동해시 517
 
1.2%
대덕구 499
 
1.2%
Other values (5869) 28094
66.4%
2024-05-11T10:38:38.348863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32356
 
17.4%
시 9812
 
5.3%
동 9457
 
5.1%
도 7100
 
3.8%
1 6657
 
3.6%
- 5872
 
3.2%
경 4828
 
2.6%
2 4475
 
2.4%
전 4381
 
2.4%
구 4290
 
2.3%
Other values (335) 96509
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110064
59.3%
Decimal Number 37407
 
20.1%
Space Separator 32358
 
17.4%
Dash Punctuation 5872
 
3.2%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%
Uppercase Letter 7
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9812
 
8.9%
동 9457
 
8.6%
도 7100
 
6.5%
경 4828
 
4.4%
전 4381
 
4.0%
구 4290
 
3.9%
기 4272
 
3.9%
대 4177
 
3.8%
광 3409
 
3.1%
역 3245
 
2.9%
Other values (316) 55093
50.1%
Decimal Number
ValueCountFrequency (%)
1 6657
17.8%
2 4475
12.0%
3 3865
10.3%
4 3693
9.9%
5 3661
9.8%
6 3443
9.2%
7 3327
8.9%
0 2824
7.5%
8 2754
7.4%
9 2708
7.2%
Uppercase Letter
ValueCountFrequency (%)
I 3
42.9%
C 3
42.9%
S 1
 
14.3%
Space Separator
ValueCountFrequency (%)
32356
> 99.9%
　 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110064
59.3%
Common 75666
40.7%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9812
 
8.9%
동 9457
 
8.6%
도 7100
 
6.5%
경 4828
 
4.4%
전 4381
 
4.0%
구 4290
 
3.9%
기 4272
 
3.9%
대 4177
 
3.8%
광 3409
 
3.1%
역 3245
 
2.9%
Other values (316) 55093
50.1%
Common
ValueCountFrequency (%)
32356
42.8%
1 6657
 
8.8%
- 5872
 
7.8%
2 4475
 
5.9%
3 3865
 
5.1%
4 3693
 
4.9%
5 3661
 
4.8%
6 3443
 
4.6%
7 3327
 
4.4%
0 2824
 
3.7%
Other values (6) 5493
 
7.3%
Latin
ValueCountFrequency (%)
I 3
42.9%
C 3
42.9%
S 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110064
59.3%
ASCII 75671
40.7%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32356
42.8%
1 6657
 
8.8%
- 5872
 
7.8%
2 4475
 
5.9%
3 3865
 
5.1%
4 3693
 
4.9%
5 3661
 
4.8%
6 3443
 
4.5%
7 3327
 
4.4%
0 2824
 
3.7%
Other values (8) 5498
 
7.3%
Hangul
ValueCountFrequency (%)
시 9812
 
8.9%
동 9457
 
8.6%
도 7100
 
6.5%
경 4828
 
4.4%
전 4381
 
4.0%
구 4290
 
3.9%
기 4272
 
3.9%
대 4177
 
3.8%
광 3409
 
3.1%
역 3245
 
2.9%
Other values (316) 55093
50.1%
None
ValueCountFrequency (%)
　 2
100.0%

위도
Real number (ℝ)

Distinct7937
Distinct (%)79.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.900672
Minimum34.559802
Maximum38.212186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:39.069215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.559802
5-th percentile35.312544
Q136.317586
median37.15452
Q337.712637
95-th percentile37.817177
Maximum38.212186
Range3.6523847
Interquartile range (IQR)1.3950502

Descriptive statistics

Standard deviation0.83961817
Coefficient of variation (CV)0.022753466
Kurtosis-0.72624739
Mean36.900672
Median Absolute Deviation (MAD)0.68583368
Skewness-0.52233706
Sum368932.91
Variance0.70495867
MonotonicityNot monotonic
2024-05-11T10:38:39.694818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.64789954 17
 
0.2%
37.754339 16
 
0.2%
37.750203 16
 
0.2%
37.752926 16
 
0.2%
37.744181 14
 
0.1%
34.97654572 14
 
0.1%
37.741532 13
 
0.1%
37.745225 13
 
0.1%
37.51774928 12
 
0.1%
37.742793 12
 
0.1%
Other values (7927) 9855
98.6%
ValueCountFrequency (%)
34.55980174 1
< 0.1%
34.566065 1
< 0.1%
34.568304 1
< 0.1%
34.571664 1
< 0.1%
34.571825 1
< 0.1%
34.574551 1
< 0.1%
34.59138531 1
< 0.1%
34.63396292 1
< 0.1%
34.63445041 1
< 0.1%
34.63606621 1
< 0.1%
ValueCountFrequency (%)
38.2121864 1
< 0.1%
38.12101534 1
< 0.1%
38.11926247 1
< 0.1%
38.07343467 2
< 0.1%
38.07123821 1
< 0.1%
37.99161667 1
< 0.1%
37.9516502 1
< 0.1%
37.93738753 1
< 0.1%
37.93056432 1
< 0.1%
37.92469808 1
< 0.1%

경도
Real number (ℝ)

Distinct7925
Distinct (%)79.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.40558
Minimum126.31252
Maximum129.49388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:40.130171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.31252
5-th percentile126.88427
Q1127.06475
median127.29204
Q3127.41654
95-th percentile129.10465
Maximum129.49388
Range3.1813563
Interquartile range (IQR)0.3517908

Descriptive statistics

Standard deviation0.61503366
Coefficient of variation (CV)0.0048273683
Kurtosis2.8782403
Mean127.40558
Median Absolute Deviation (MAD)0.17547355
Skewness1.9184828
Sum1273801
Variance0.3782664
MonotonicityNot monotonic
2024-05-11T10:38:40.598313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.040588 18
 
0.2%
127.037843 18
 
0.2%
127.3022766 17
 
0.2%
127.104767 16
 
0.2%
127.095778 14
 
0.1%
127.4042148 14
 
0.1%
127.027216 13
 
0.1%
127.099153 13
 
0.1%
127.113414 13
 
0.1%
127.048023 12
 
0.1%
Other values (7915) 9850
98.5%
ValueCountFrequency (%)
126.3125244 1
< 0.1%
126.312871 1
< 0.1%
126.3423771 1
< 0.1%
126.3519276 1
< 0.1%
126.3589467 2
< 0.1%
126.3654576 1
< 0.1%
126.3677628 1
< 0.1%
126.3681745 1
< 0.1%
126.368748 1
< 0.1%
126.369746 1
< 0.1%
ValueCountFrequency (%)
129.4938806624 1
< 0.1%
129.4913851608 1
< 0.1%
129.4731373953 1
< 0.1%
129.4706711274 1
< 0.1%
129.4614108985 1
< 0.1%
129.4494543952 1
< 0.1%
129.4489695708 1
< 0.1%
129.4438517487 1
< 0.1%
129.4412838614 1
< 0.1%
129.4405665057 1
< 0.1%

신호기설치방식
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.323
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:40.995123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile3
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5747745
Coefficient of variation (CV)2.2794988
Kurtosis154.92312
Mean3.323
Median Absolute Deviation (MAD)0
Skewness12.495958
Sum33230
Variance57.377209
MonotonicityNot monotonic
2024-05-11T10:38:41.387048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 7169
71.7%
2 2467
 
24.7%
1 189
 
1.9%
4 103
 
1.0%
99 62
 
0.6%
5 10
 
0.1%
ValueCountFrequency (%)
1 189
 
1.9%
2 2467
 
24.7%
3 7169
71.7%
4 103
 
1.0%
5 10
 
0.1%
99 62
 
0.6%
ValueCountFrequency (%)
99 62
 
0.6%
5 10
 
0.1%
4 103
 
1.0%
3 7169
71.7%
2 2467
 
24.7%
1 189
 
1.9%

도로형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8445 
1
1491 
99
 
64

Length

Max length2
Median length1
Mean length1.0064
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8445
84.5%
1 1491
 
14.9%
99 64
 
0.6%

Length

2024-05-11T10:38:41.879536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:42.234216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8445
84.5%
1 1491
 
14.9%
99 64
 
0.6%

주도로여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8890 
False
1110 
ValueCountFrequency (%)
True 8890
88.9%
False 1110
 
11.1%
2024-05-11T10:38:42.527410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신호등관리번호
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

신호등구분
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8684
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:42.797303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.8542044
Coefficient of variation (CV)3.1332714
Kurtosis262.43515
Mean1.8684
Median Absolute Deviation (MAD)0
Skewness16.003688
Sum18684
Variance34.271709
MonotonicityNot monotonic
2024-05-11T10:38:43.173687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6565
65.6%
2 2881
28.8%
6 369
 
3.7%
5 107
 
1.1%
99 35
 
0.4%
3 35
 
0.4%
4 6
 
0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
1 6565
65.6%
2 2881
28.8%
3 35
 
0.4%
4 6
 
0.1%
5 107
 
1.1%
6 369
 
3.7%
7 2
 
< 0.1%
99 35
 
0.4%
ValueCountFrequency (%)
99 35
 
0.4%
7 2
 
< 0.1%
6 369
 
3.7%
5 107
 
1.1%
4 6
 
0.1%
3 35
 
0.4%
2 2881
28.8%
1 6565
65.6%

신호등색종류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4
3295 
3
3040 
2
2758 
1
905 
99
 
2

Length

Max length2
Median length1
Mean length1.0002
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 3295
33.0%
3 3040
30.4%
2 2758
27.6%
1 905
 
9.0%
99 2
 
< 0.1%

Length

2024-05-11T10:38:43.724454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:44.049465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 3295
33.0%
3 3040
30.4%
2 2758
27.6%
1 905
 
9.0%
99 2
 
< 0.1%

신호등화방식
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0603
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:44.416558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.645544
Coefficient of variation (CV)2.6218613
Kurtosis74.86278
Mean4.0603
Median Absolute Deviation (MAD)1
Skewness8.7228115
Sum40603
Variance113.3276
MonotonicityNot monotonic
2024-05-11T10:38:44.783108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 3483
34.8%
2 2802
28.0%
4 2111
21.1%
1 869
 
8.7%
5 612
 
6.1%
99 123
 
1.2%
ValueCountFrequency (%)
1 869
 
8.7%
2 2802
28.0%
3 3483
34.8%
4 2111
21.1%
5 612
 
6.1%
99 123
 
1.2%
ValueCountFrequency (%)
99 123
 
1.2%
5 612
 
6.1%
4 2111
21.1%
3 3483
34.8%
2 2802
28.0%
1 869
 
8.7%

신호등화순서
Text

Distinct159
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:45.256007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length74
Mean length9.9379
Min length1

Characters and Unicode

Total characters99379
Distinct characters28
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)0.5%

Sample

1st row녹색+적색
2nd row녹색+적색
3rd row녹색+녹색화살표+황색+적색
4th row녹색/녹색화살+황색+적색
5th row녹색+황색+녹색화살표+적색
ValueCountFrequency (%)
녹색+황색+적색 2597
25.8%
녹색+적색 2336
23.2%
녹색+녹색화살표+황색+적색 1109
11.0%
적색+녹색 454
 
4.5%
황색 374
 
3.7%
녹색+황색+녹색화살/적색+황색/적색+적색 342
 
3.4%
녹색/녹색화살+황색+적색 295
 
2.9%
황색점멸 277
 
2.8%
녹색+황색+녹색화살표+적색 255
 
2.5%
녹색화살/적색+황색/적색+적색 205
 
2.0%
Other values (147) 1806
18.0%
2024-05-11T10:38:46.251624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 31857
32.1%
+ 18826
18.9%
녹 13377
13.5%
적 11332
 
11.4%
황 8098
 
8.1%
/ 3968
 
4.0%
화 3899
 
3.9%
살 3833
 
3.9%
표 2636
 
2.7%
점 459
 
0.5%
Other values (18) 1094
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76377
76.9%
Math Symbol 18826
 
18.9%
Other Punctuation 3968
 
4.0%
Close Punctuation 79
 
0.1%
Open Punctuation 79
 
0.1%
Space Separator 50
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 31857
41.7%
녹 13377
17.5%
적 11332
 
14.8%
황 8098
 
10.6%
화 3899
 
5.1%
살 3833
 
5.0%
표 2636
 
3.5%
점 459
 
0.6%
멸 372
 
0.5%
등 153
 
0.2%
Other values (13) 361
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 18826
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3968
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76377
76.9%
Common 23002
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 31857
41.7%
녹 13377
17.5%
적 11332
 
14.8%
황 8098
 
10.6%
화 3899
 
5.1%
살 3833
 
5.0%
표 2636
 
3.5%
점 459
 
0.6%
멸 372
 
0.5%
등 153
 
0.2%
Other values (13) 361
 
0.5%
Common
ValueCountFrequency (%)
+ 18826
81.8%
/ 3968
 
17.3%
) 79
 
0.3%
( 79
 
0.3%
50
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76377
76.9%
ASCII 23002
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 31857
41.7%
녹 13377
17.5%
적 11332
 
14.8%
황 8098
 
10.6%
화 3899
 
5.1%
살 3833
 
5.0%
표 2636
 
3.5%
점 459
 
0.6%
멸 372
 
0.5%
등 153
 
0.2%
Other values (13) 361
 
0.5%
ASCII
ValueCountFrequency (%)
+ 18826
81.8%
/ 3968
 
17.3%
) 79
 
0.3%
( 79
 
0.3%
50
 
0.2%

신호등화시간
Text

Distinct2834
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:46.927381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.8093
Min length1

Characters and Unicode

Total characters78093
Distinct characters37
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1968 ?
Unique (%)19.7%

Sample

1st row41+159
2nd row19+65
3rd row30+30+3+100
4th row27+3+150
5th row50+3+50+50
ValueCountFrequency (%)
30+100 1136
 
11.4%
30+3+100 1068
 
10.7%
30+30+3+100 950
 
9.5%
0 307
 
3.1%
35+35 277
 
2.8%
1 275
 
2.7%
24+24+20+24 163
 
1.6%
24 142
 
1.4%
10+30+3+35 133
 
1.3%
점멸 104
 
1.0%
Other values (2828) 5451
54.5%
2024-05-11T10:38:48.243408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 18509
23.7%
0 15085
19.3%
3 13540
17.3%
1 8798
11.3%
2 5646
 
7.2%
4 3512
 
4.5%
5 3408
 
4.4%
7 2162
 
2.8%
6 1890
 
2.4%
9 1555
 
2.0%
Other values (27) 3988
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57073
73.1%
Math Symbol 18509
 
23.7%
Other Punctuation 1528
 
2.0%
Other Letter 937
 
1.2%
Dash Punctuation 40
 
0.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 106
11.3%
멸 106
11.3%
상 78
8.3%
황 69
 
7.4%
라 67
 
7.2%
교 67
 
7.2%
통 67
 
7.2%
따 67
 
7.2%
에 67
 
7.2%
화 67
 
7.2%
Other values (12) 176
18.8%
Decimal Number
ValueCountFrequency (%)
0 15085
26.4%
3 13540
23.7%
1 8798
15.4%
2 5646
 
9.9%
4 3512
 
6.2%
5 3408
 
6.0%
7 2162
 
3.8%
6 1890
 
3.3%
9 1555
 
2.7%
8 1477
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 1448
94.8%
: 80
 
5.2%
Math Symbol
ValueCountFrequency (%)
+ 18509
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77156
98.8%
Hangul 937
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 106
11.3%
멸 106
11.3%
상 78
8.3%
황 69
 
7.4%
라 67
 
7.2%
교 67
 
7.2%
통 67
 
7.2%
따 67
 
7.2%
에 67
 
7.2%
화 67
 
7.2%
Other values (12) 176
18.8%
Common
ValueCountFrequency (%)
+ 18509
24.0%
0 15085
19.6%
3 13540
17.5%
1 8798
11.4%
2 5646
 
7.3%
4 3512
 
4.6%
5 3408
 
4.4%
7 2162
 
2.8%
6 1890
 
2.4%
9 1555
 
2.0%
Other values (5) 3051
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77156
98.8%
Hangul 937
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 18509
24.0%
0 15085
19.6%
3 13540
17.5%
1 8798
11.4%
2 5646
 
7.3%
4 3512
 
4.6%
5 3408
 
4.4%
7 2162
 
2.8%
6 1890
 
2.4%
9 1555
 
2.0%
Other values (5) 3051
 
4.0%
Hangul
ValueCountFrequency (%)
점 106
11.3%
멸 106
11.3%
상 78
8.3%
황 69
 
7.4%
라 67
 
7.2%
교 67
 
7.2%
통 67
 
7.2%
따 67
 
7.2%
에 67
 
7.2%
화 67
 
7.2%
Other values (12) 176
18.8%

광원종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9972 
99
 
21
1
 
7

Length

Max length2
Median length1
Mean length1.0021
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 9972
99.7%
99 21
 
0.2%
1 7
 
0.1%

Length

2024-05-11T10:38:48.771713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:49.116284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9972
99.7%
99 21
 
0.2%
1 7
 
0.1%

신호제어방식
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
99
3471 
3
3462 
1
2586 
2
481 

Length

Max length2
Median length1
Mean length1.3471
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row99
4th row1
5th row3

Common Values

ValueCountFrequency (%)
99 3471
34.7%
3 3462
34.6%
1 2586
25.9%
2 481
 
4.8%

Length

2024-05-11T10:38:49.492234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:49.844014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 3471
34.7%
3 3462
34.6%
1 2586
25.9%
2 481
 
4.8%

신호시간결정방식
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6563 
99
3321 
2
 
97
3
 
19

Length

Max length2
Median length1
Mean length1.3321
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row99
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 6563
65.6%
99 3321
33.2%
2 97
 
1.0%
3 19
 
0.2%

Length

2024-05-11T10:38:50.422621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T10:38:50.769588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6563
65.6%
99 3321
33.2%
2 97
 
1.0%
3 19
 
0.2%

점멸등운영여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7536 
True
2464 
ValueCountFrequency (%)
False 7536
75.4%
True 2464
 
24.6%
2024-05-11T10:38:51.008121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점멸등운영시작시각
Categorical

IMBALANCE 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
00:00
9223 
23:59
 
220
22:00
 
168
23:00
 
109
20:00
 
84
Other values (22)
 
196

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 9223
92.2%
23:59 220
 
2.2%
22:00 168
 
1.7%
23:00 109
 
1.1%
20:00 84
 
0.8%
12:00 63
 
0.6%
21:00 26
 
0.3%
01:00 21
 
0.2%
18:00 16
 
0.2%
06:00 13
 
0.1%
Other values (17) 57
 
0.6%

Length

2024-05-11T10:38:51.208282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 9223
92.2%
23:59 220
 
2.2%
22:00 168
 
1.7%
23:00 109
 
1.1%
20:00 84
 
0.8%
12:00 63
 
0.6%
21:00 26
 
0.3%
01:00 21
 
0.2%
18:00 16
 
0.2%
06:00 13
 
0.1%
Other values (17) 57
 
0.6%

점멸등운영종료시각
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
00:00
7478 
23:59
999 
05:00
 
736
06:00
 
578
07:00
 
140
Other values (17)
 
69

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row00:00
2nd row05:00
3rd row00:00
4th row00:00
5th row06:00

Common Values

ValueCountFrequency (%)
00:00 7478
74.8%
23:59 999
 
10.0%
05:00 736
 
7.4%
06:00 578
 
5.8%
07:00 140
 
1.4%
06:30 16
 
0.2%
08:00 11
 
0.1%
04:00 10
 
0.1%
12:00 7
 
0.1%
09:00 4
 
< 0.1%
Other values (12) 21
 
0.2%

Length

2024-05-11T10:38:51.461388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 7478
74.8%
23:59 999
 
10.0%
05:00 736
 
7.4%
06:00 578
 
5.8%
07:00 140
 
1.4%
06:30 16
 
0.2%
08:00 11
 
0.1%
04:00 10
 
0.1%
12:00 7
 
0.1%
09:00 4
 
< 0.1%
Other values (12) 21
 
0.2%

보행자작동신호기유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9300 
True
 
700
ValueCountFrequency (%)
False 9300
93.0%
True 700
 
7.0%
2024-05-11T10:38:51.784764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

잔여시간표시기유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5793 
False
4207 
ValueCountFrequency (%)
True 5793
57.9%
False 4207
42.1%
2024-05-11T10:38:51.973610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시각장애인용음향신호기유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9149 
True
 
851
ValueCountFrequency (%)
False 9149
91.5%
True 851
 
8.5%
2024-05-11T10:38:52.195056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로안내표지일련번호
Categorical

IMBALANCE 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9825 
N
 
127
0
 
21
UR-21-여의대방로-하-7
 
2
UR-[호동로]-상-1
 
1
Other values (24)
 
24

Length

Max length34
Median length4
Mean length3.9864
Min length1

Unique

Unique25 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9825
98.2%
N 127
 
1.3%
0 21
 
0.2%
UR-21-여의대방로-하-7 2
 
< 0.1%
UR-[호동로]-상-1 1
 
< 0.1%
UR-[시민로]-상-16 1
 
< 0.1%
NR-39-[가금로]-상-3 1
 
< 0.1%
UR-동작대로-상-9 1
 
< 0.1%
UR-상도로-상-13 + UR-상도로-하-13 1
 
< 0.1%
UR-21-여의대방로-상-43 1
 
< 0.1%
Other values (19) 19
 
0.2%

Length

2024-05-11T10:38:52.500377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9825
98.2%
n 127
 
1.3%
0 21
 
0.2%
2
 
< 0.1%
ur-21-여의대방로-하-7 2
 
< 0.1%
nr-3-[평화로]-상-99 1
 
< 0.1%
ur-[회룡로]-상-8 1
 
< 0.1%
ur-[안말로]-상-3 1
 
< 0.1%
nr-3-[평화로]-상-119 1
 
< 0.1%
ur-[가금로33번길]-상-1 1
 
< 0.1%
Other values (22) 22
 
0.2%

관리기관명
Text

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:53.006717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.7917
Min length3

Characters and Unicode

Total characters77917
Distinct characters75
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row대구광역시
2nd row경기도 의정부시청
3rd row대전광역시
4th row경기도 포천시청
5th row전라북도 전주시청
ValueCountFrequency (%)
경기도 4030
24.2%
대전광역시 3229
19.4%
의정부시청 1481
 
8.9%
남양주시청 1229
 
7.4%
양주시청 794
 
4.8%
동해시청 516
 
3.1%
익산시청 422
 
2.5%
전북특별자치도 420
 
2.5%
강원특별자치도 369
 
2.2%
구리시청 363
 
2.2%
Other values (53) 3821
22.9%
2024-05-11T10:38:54.188686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 9611
 
12.3%
6674
 
8.6%
청 6586
 
8.5%
도 6365
 
8.2%
경 4844
 
6.2%
전 4306
 
5.5%
기 4030
 
5.2%
광 3258
 
4.2%
대 3241
 
4.2%
역 3241
 
4.2%
Other values (65) 25761
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71243
91.4%
Space Separator 6674
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9611
13.5%
청 6586
 
9.2%
도 6365
 
8.9%
경 4844
 
6.8%
전 4306
 
6.0%
기 4030
 
5.7%
광 3258
 
4.6%
대 3241
 
4.5%
역 3241
 
4.5%
주 2349
 
3.3%
Other values (64) 23412
32.9%
Space Separator
ValueCountFrequency (%)
6674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71243
91.4%
Common 6674
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9611
13.5%
청 6586
 
9.2%
도 6365
 
8.9%
경 4844
 
6.8%
전 4306
 
6.0%
기 4030
 
5.7%
광 3258
 
4.6%
대 3241
 
4.5%
역 3241
 
4.5%
주 2349
 
3.3%
Other values (64) 23412
32.9%
Common
ValueCountFrequency (%)
6674
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71243
91.4%
ASCII 6674
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 9611
13.5%
청 6586
 
9.2%
도 6365
 
8.9%
경 4844
 
6.8%
전 4306
 
6.0%
기 4030
 
5.7%
광 3258
 
4.6%
대 3241
 
4.5%
역 3241
 
4.5%
주 2349
 
3.3%
Other values (64) 23412
32.9%
ASCII
ValueCountFrequency (%)
6674
100.0%

관리기관전화번호
Text

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:54.829508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.341
Min length7

Characters and Unicode

Total characters103410
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row053-803-5426
2nd row031-828-4845
3rd row042-120
4th row031-538-2114
5th row063-281-5024
ValueCountFrequency (%)
042-120 3229
32.3%
031-828-4845 1481
14.8%
031-590-2114 1229
 
12.3%
031-8082-4114 794
 
7.9%
1577-0072 422
 
4.2%
031-550-2702 363
 
3.6%
033-539-8220 278
 
2.8%
033-539-8170 238
 
2.4%
055-330-6775 127
 
1.3%
054-779-6843 121
 
1.2%
Other values (41) 1718
17.2%
2024-05-11T10:38:55.984704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18793
18.2%
- 16349
15.8%
2 13783
13.3%
1 13487
13.0%
4 11140
10.8%
8 7916
7.7%
3 7864
7.6%
5 6747
 
6.5%
7 2862
 
2.8%
9 2741
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87061
84.2%
Dash Punctuation 16349
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18793
21.6%
2 13783
15.8%
1 13487
15.5%
4 11140
12.8%
8 7916
9.1%
3 7864
9.0%
5 6747
 
7.7%
7 2862
 
3.3%
9 2741
 
3.1%
6 1728
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 16349
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103410
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18793
18.2%
- 16349
15.8%
2 13783
13.3%
1 13487
13.0%
4 11140
10.8%
8 7916
7.7%
3 7864
7.6%
5 6747
 
6.5%
7 2862
 
2.8%
9 2741
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103410
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18793
18.2%
- 16349
15.8%
2 13783
13.3%
1 13487
13.0%
4 11140
10.8%
8 7916
7.7%
3 7864
7.6%
5 6747
 
6.5%
7 2862
 
2.8%
9 2741
 
2.7%

데이터기준일자
Categorical

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-01-05
3229 
2023-03-02
1481 
2023-12-05
1229 
2023-12-01
868 
2024-03-15
420 
Other values (44)
2773 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2023-03-23
2nd row2023-03-02
3rd row2023-01-05
4th row2022-12-12
5th row2023-08-28

Common Values

ValueCountFrequency (%)
2023-01-05 3229
32.3%
2023-03-02 1481
14.8%
2023-12-05 1229
 
12.3%
2023-12-01 868
 
8.7%
2024-03-15 420
 
4.2%
2024-04-22 363
 
3.6%
2023-11-29 278
 
2.8%
2023-04-10 238
 
2.4%
2023-12-15 149
 
1.5%
2023-04-12 127
 
1.3%
Other values (39) 1618
16.2%

Length

2024-05-11T10:38:56.440639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01-05 3229
32.3%
2023-03-02 1481
14.8%
2023-12-05 1229
 
12.3%
2023-12-01 868
 
8.7%
2024-03-15 420
 
4.2%
2024-04-22 363
 
3.6%
2023-11-29 278
 
2.8%
2023-04-10 238
 
2.4%
2023-12-15 149
 
1.5%
2023-04-12 127
 
1.3%
Other values (39) 1618
16.2%

제공기관코드
Real number (ℝ)

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5012512.4
Minimum3190000
Maximum6300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:38:56.860087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3190000
5-th percentile3820000
Q13990000
median4681000
Q36300000
95-th percentile6300000
Maximum6300000
Range3110000
Interquartile range (IQR)2310000

Descriptive statistics

Standard deviation1037803.8
Coefficient of variation (CV)0.20704265
Kurtosis-1.6459468
Mean5012512.4
Median Absolute Deviation (MAD)861000
Skewness0.1313829
Sum5.0125124 × 1010
Variance1.0770368 × 1012
MonotonicityNot monotonic
2024-05-11T10:38:57.351180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6300000 3229
32.3%
3820000 1481
14.8%
3990000 1229
 
12.3%
5590000 794
 
7.9%
4681000 420
 
4.2%
3980000 363
 
3.6%
4211000 278
 
2.8%
4210000 238
 
2.4%
3930000 146
 
1.5%
5350000 127
 
1.3%
Other values (45) 1695
17.0%
ValueCountFrequency (%)
3190000 119
 
1.2%
3740000 20
 
0.2%
3820000 1481
14.8%
3930000 146
 
1.5%
3980000 363
 
3.6%
3990000 1229
12.3%
4060000 28
 
0.3%
4070000 61
 
0.6%
4200000 22
 
0.2%
4201000 70
 
0.7%
ValueCountFrequency (%)
6300000 3229
32.3%
6270000 12
 
0.1%
5700000 44
 
0.4%
5690000 32
 
0.3%
5600000 58
 
0.6%
5590000 794
 
7.9%
5440000 15
 
0.1%
5380000 100
 
1.0%
5370000 64
 
0.6%
5350000 127
 
1.3%

제공기관명
Text

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:38:58.244244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.0937
Min length5

Characters and Unicode

Total characters70937
Distinct characters67
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row대구광역시
2nd row경기도 의정부시
3rd row대전광역시
4th row경기도 포천시
5th row전라북도 전주시
ValueCountFrequency (%)
경기도 4224
25.3%
대전광역시 3229
19.3%
의정부시 1481
 
8.9%
남양주시 1229
 
7.3%
양주시 794
 
4.7%
동해시 516
 
3.1%
익산시 422
 
2.5%
전북특별자치도 420
 
2.5%
강원특별자치도 374
 
2.2%
구리시 363
 
2.2%
Other values (50) 3675
22.0%
2024-05-11T10:38:59.312677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 9828
13.9%
6727
 
9.5%
도 6608
 
9.3%
경 4817
 
6.8%
전 4316
 
6.1%
기 4224
 
6.0%
광 3258
 
4.6%
대 3241
 
4.6%
역 3241
 
4.6%
주 2375
 
3.3%
Other values (57) 22302
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64210
90.5%
Space Separator 6727
 
9.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9828
15.3%
도 6608
 
10.3%
경 4817
 
7.5%
전 4316
 
6.7%
기 4224
 
6.6%
광 3258
 
5.1%
대 3241
 
5.0%
역 3241
 
5.0%
주 2375
 
3.7%
양 2181
 
3.4%
Other values (56) 20121
31.3%
Space Separator
ValueCountFrequency (%)
6727
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64210
90.5%
Common 6727
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9828
15.3%
도 6608
 
10.3%
경 4817
 
7.5%
전 4316
 
6.7%
기 4224
 
6.6%
광 3258
 
5.1%
대 3241
 
5.0%
역 3241
 
5.0%
주 2375
 
3.7%
양 2181
 
3.4%
Other values (56) 20121
31.3%
Common
ValueCountFrequency (%)
6727
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64210
90.5%
ASCII 6727
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 9828
15.3%
도 6608
 
10.3%
경 4817
 
7.5%
전 4316
 
6.7%
기 4224
 
6.6%
광 3258
 
5.1%
대 3241
 
5.0%
역 3241
 
5.0%
주 2375
 
3.7%
양 2181
 
3.4%
Other values (56) 20121
31.3%
ASCII
ValueCountFrequency (%)
6727
100.0%

Sample

시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등관리번호신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
4062대구광역시북구일반국도04번팔달로1대구광역시 북구 팔달로 105대구광역시 북구 노원동3가 784-135.889814128.56207622Y13290222녹색+적색41+159231N00:0000:00NYN<NA>대구광역시053-803-54262023-03-236270000대구광역시
11850경기도의정부시시도NaN장곡로628번길3<NA>경기도 의정부시 신곡동 813-2037.749805127.07278822Y1806-TR-01222녹색+적색19+65231Y00:0005:00NNN<NA>경기도 의정부시청031-828-48452023-03-023820000경기도 의정부시
41483대전광역시대덕구일반국도17.0대전로2<NA>대전광역시 대덕구 오정동 70836.356533127.41510331Y12247144녹색+녹색화살표+황색+적색30+30+3+10029999N00:0000:00NYN<NA>대전광역시042-1202023-01-056300000대전광역시
898경기도포천시일반국도87포천로3<NA>경기도 포천시 군내면 하성북리 669-1637.897002127.20595832Y31270-TL-00119-01143녹색/녹색화살+황색+적색27+3+150211N00:0000:00NNN<NA>경기도 포천시청031-538-21142022-12-125600000경기도 포천시
20320전라북도전주시 완산구시도NaN용머리로3<NA>전라북도 전주시 완산구 서완산동1가 20535.807889127.13325832Y231244녹색+황색+녹색화살표+적색50+3+50+50231Y00:0006:00NYN<NA>전라북도 전주시청063-281-50242023-08-284640000전라북도 전주시
9195경기도남양주시시도NaN도농로1<NA>경기도 남양주시 다산동 4001-737.609208127.1585432Y368143녹색/녹색화살표+황색+적색27+2+100231Y00:0005:00NNN<NA>경기도 남양주시청031-590-21142023-12-053990000경기도 남양주시
2559경상남도양산시지방도1077어실로3<NA>경상남도 양산시 어곡동 722-135.388632129.01733632Y양산신-4023132녹색+황색+적색100+30211N00:0023:59NNN<NA>경상남도 양산시청 교통과055-392-28832022-04-065380000경상남도 양산시
38477대전광역시서구특별시도NaN유등로2<NA>대전광역시 서구 변동 29336.323525127.38577132Y9243144녹색+녹색화살표+황색+적색30+30+3+10029999N00:0000:00NYN<NA>대전광역시042-1202023-01-056300000대전광역시
25732경상북도경주시일반국도7번산업로3<NA>경상북도 경주시 용강동 1260-135.872547129.22608632Y153144녹색+녹색화살표+황색+적색96+31+3+25231N00:0000:00NNN<NA>경상북도 경주시054-779-68432023-11-245050000경상북도 경주시
32209대전광역시동구특별시도NaN동부로1<NA>대전광역시 동구 판암동 24836.321489127.45894122Y2972222녹색+적색30+10029999N00:0000:00NYN<NA>대전광역시042-1202023-01-056300000대전광역시
시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등관리번호신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명
22374경기도남양주시시도NaN호평로1<NA>경기도 남양주시 호평동 69737.656246127.24813632Y4178144녹색+녹색/녹색화살표+황색+적색58+20+4+58231Y00:0005:00NYY<NA>경기도 남양주시청031-590-21142023-12-053990000경기도 남양주시
17768전북특별자치도익산시시도NaN부농길3<NA>전북특별자치도 익산시 목천동 715-9535.921887126.91605232Y94133녹색+황색+적색20+20+20211N00:0000:00NNN<NA>전북특별자치도 익산시청1577-00722024-03-154681000전북특별자치도 익산시
8393경기도남양주시시도NaN홍유릉로1경기도 남양주시 홍유릉로248번길 47경기도 남양주시 금곡동 603번지37.627682127.2026922Y187133녹색화살표+황색+적색25+4+95231Y00:0005:00NNN<NA>경기도 남양주시청031-590-21142023-12-053990000경기도 남양주시
16248서울특별시동작구시도3119006서달로2서울특별시 동작구 서달로 144서울특별시 동작구 흑석동 86-18137.506243126.9613521Y03-0000057402222적색+녹색74+15211N00:0000:00YYN<NA>서울특별시 동작구청02-820-15222024-04-053190000서울특별시 동작구
5524경기도의정부시시도NaN청사로3<NA>경기도 의정부시 금오동 477-937.752248127.07001632Y1852-TR-04222녹색+적색42+128231N00:0000:00NYY<NA>경기도 의정부시청031-828-48452023-03-023820000경기도 의정부시
25850경상북도경주시시도NaN화랑로3<NA>경상북도 경주시 황오동 203-3535.844384129.21391932Y16144녹색+녹색/녹색화살표+황색+적색79+25+3+29231N00:0000:00NNN<NA>경상북도 경주시054-779-68432023-11-245050000경상북도 경주시
254경기도구리시일반국도43동구릉로3<NA>경기도 구리시 사노동 164-1337.627128127.140421Y31120-TL-00088-04222녹색+적색28+152211N00:0000:00NYY<NA>경기도 구리시청031-550-27022024-04-223980000경기도 구리시
12956경기도양주시시도NaN연곡로3<NA>경기도 양주시 백석읍 홍죽리 12-637.803906126.97123732Y0021-01133녹색화살/적색+황색/적색+적색37/37+3/3+110211Y22:0006:00NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시
31831대전광역시서구특별시도NaN월평북로1<NA>대전광역시 서구 월평동 150736.362336127.37136922Y2593222녹색+적색30+10029999N00:0000:00NYN<NA>대전광역시042-1202023-01-056300000대전광역시
26660강원특별자치도동해시일반국도7번동해대로3<NA>강원특별자치도 동해시 망상동 361-437.591263129.09056122Y197045222녹색+적색35+35211N00:0000:00NNN<NA>강원특별자치도 동해시청033-539-82202023-11-294211000강원특별자치도 동해시

Duplicate rows

Most frequently occurring

시도명시군구명도로종류도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자제공기관코드제공기관명# duplicates
30강원특별자치도동해시시도추암공단2로3<NA>강원특별자치도 동해시 추암동 134-237.470176129.14549422Y222녹색+적색35+35211N00:0000:00NYN<NA>강원특별자치도 동해시청033-539-82202023-11-294211000강원특별자치도 동해시5
5강원도동해시시도추암공단2로3<NA>강원도 동해시 추암동 134-237.470176129.14549422Y222녹색+적색35+35211N00:0000:00NYN<NA>강원도 동해시청033-539-81702023-04-104210000강원도 동해시4
7강원도동해시시도한섬로3<NA>강원도 동해시 천곡동 1090-3837.520284129.11288122Y222녹색+적색35+35211N00:0000:00NYN<NA>강원도 동해시청033-539-81702023-04-104210000강원도 동해시4
150경기도양주시시도고릉말로46번길3경기도 양주시 백석읍 고릉말로 46번길 12경기도 양주시 백석읍 방성리 169-937.801789127.00021432N111황색점멸0211Y00:0023:59NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시4
152경기도양주시시도고암길3<NA>경기도 양주시 고암동 579-437.834199127.07494332Y143녹색/녹색화살+황색+적색32/32+3+115211N00:0000:00NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시4
162경기도양주시시도그루고개로3<NA>경기도 양주시 은현면 도하리 333-137.842362127.00813731N611황색점멸0211Y00:0023:59NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시4
172경기도양주시시도양주산성로3<NA>경기도 양주시 백석읍 가업리 산 3-537.790652126.9712732N111황색점멸09911Y00:0023:59NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시4
208경기도양주시시도회천남로3<NA>경기도 양주시 옥정동 93537.817668127.08700832Y145녹색+황색+녹색화살/적색+황색/적색+적색67+4+16/16+3/3+60211N00:0000:00NNN<NA>경기도 양주시청031-8082-41142023-12-015590000경기도 양주시4
265경기도의정부시시도민락로3<NA>경기도 의정부시 민락동 91237.742793127.10122532Y145녹색+황색+녹색화살/적색+황색/적색+적색48+3+24/24+3/3+73231N00:0000:00NNN<NA>경기도 의정부시청031-828-48452023-03-023820000경기도 의정부시4
295경기도의정부시시도용민로3<NA>경기도 의정부시 낙양동 71937.752926127.10476732Y145녹색+황색+녹색화살/적색+황색/적색+적색59+4+15/15+3/3+69231N00:0000:00NNN<NA>경기도 의정부시청031-828-48452023-03-023820000경기도 의정부시4