Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells25322
Missing cells (%)7.4%
Duplicate rows7
Duplicate rows (%)0.1%
Total size in memory2.8 MiB
Average record size in memory292.0 B

Variable types

Numeric6
Categorical15
Unsupported1
Text7
Boolean5

Alerts

시도명 has constant value ""Constant
Dataset has 7 (0.1%) duplicate rowsDuplicates
도로노선방향 is highly imbalanced (53.6%)Imbalance
도로형태 is highly imbalanced (66.1%)Imbalance
광원종류 is highly imbalanced (98.1%)Imbalance
신호시간결정방식 is highly imbalanced (97.7%)Imbalance
점멸등운영시작시각 is highly imbalanced (87.5%)Imbalance
점멸등운영종료시각 is highly imbalanced (67.5%)Imbalance
보행자작동신호기유무 is highly imbalanced (67.9%)Imbalance
도로노선번호 has 7390 (73.9%) missing valuesMissing
소재지도로명주소 has 7952 (79.5%) missing valuesMissing
도로안내표지일련번호 has 9980 (99.8%) missing valuesMissing
신호등구분 is highly skewed (γ1 = 34.99224017)Skewed
도로노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-17 19:28:10.633133
Analysis finished2024-05-17 19:28:13.468568
Duration2.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군코드
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41388.206
Minimum41110
Maximum41670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:13.608555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41110
5-th percentile41130
Q141250
median41360
Q341630
95-th percentile41650
Maximum41670
Range560
Interquartile range (IQR)380

Descriptive statistics

Standard deviation182.33997
Coefficient of variation (CV)0.0044056023
Kurtosis-1.2408412
Mean41388.206
Median Absolute Deviation (MAD)150
Skewness0.11514007
Sum4.1388206 × 108
Variance33247.866
MonotonicityNot monotonic
2024-05-18T04:28:13.942768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
41630 1755
17.5%
41150 1666
16.7%
41360 1425
14.2%
41650 922
9.2%
41310 900
9.0%
41450 850
8.5%
41370 842
8.4%
41250 371
 
3.7%
41110 365
 
3.6%
41480 217
 
2.2%
Other values (8) 687
 
6.9%
ValueCountFrequency (%)
41110 365
 
3.6%
41130 200
 
2.0%
41150 1666
16.7%
41210 82
 
0.8%
41220 1
 
< 0.1%
41250 371
 
3.7%
41270 217
 
2.2%
41310 900
9.0%
41360 1425
14.2%
41370 842
8.4%
ValueCountFrequency (%)
41670 52
 
0.5%
41650 922
9.2%
41630 1755
17.5%
41590 1
 
< 0.1%
41500 129
 
1.3%
41480 217
 
2.2%
41450 850
8.5%
41430 5
 
0.1%
41370 842
8.4%
41360 1425
14.2%

시군명
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
양주시
1755 
의정부시
1666 
남양주시
1425 
포천시
922 
구리시
900 
Other values (13)
3332 

Length

Max length4
Median length3
Mean length3.3462
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row성남시
2nd row여주시
3rd row양주시
4th row포천시
5th row포천시

Common Values

ValueCountFrequency (%)
양주시 1755
17.5%
의정부시 1666
16.7%
남양주시 1425
14.2%
포천시 922
9.2%
구리시 900
9.0%
하남시 850
8.5%
오산시 842
8.4%
동두천시 371
 
3.7%
수원시 365
 
3.6%
안산시 217
 
2.2%
Other values (8) 687
 
6.9%

Length

2024-05-18T04:28:14.362598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양주시 1755
17.5%
의정부시 1666
16.7%
남양주시 1425
14.2%
포천시 922
9.2%
구리시 900
9.0%
하남시 850
8.5%
오산시 842
8.4%
동두천시 371
 
3.7%
수원시 365
 
3.6%
파주시 217
 
2.2%
Other values (8) 687
 
6.9%

시도명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 10000
100.0%

Length

2024-05-18T04:28:14.747635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:15.006846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
100.0%

시군구명
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
양주시
1755 
의정부시
1666 
남양주시
1425 
포천시
922 
구리시
900 
Other values (14)
3332 

Length

Max length7
Median length3
Mean length3.4224
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성남시 수정구
2nd row여주시
3rd row양주시
4th row포천시
5th row포천시

Common Values

ValueCountFrequency (%)
양주시 1755
17.5%
의정부시 1666
16.7%
남양주시 1425
14.2%
포천시 922
9.2%
구리시 900
9.0%
하남시 850
8.5%
오산시 843
8.4%
동두천시 371
 
3.7%
수원시 366
 
3.7%
파주시 217
 
2.2%
Other values (9) 685
 
6.9%

Length

2024-05-18T04:28:15.344248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양주시 1755
17.3%
의정부시 1666
16.4%
남양주시 1425
14.0%
포천시 922
9.1%
구리시 900
8.9%
하남시 850
8.4%
오산시 843
8.3%
동두천시 371
 
3.7%
수원시 366
 
3.6%
안산시 217
 
2.1%
Other values (10) 847
8.3%

도로종류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시도
6910 
일반국도
1351 
지방도
1222 
기타
 
484
국가지원지방도
 
33

Length

Max length7
Median length2
Mean length2.4089
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시도 6910
69.1%
일반국도 1351
 
13.5%
지방도 1222
 
12.2%
기타 484
 
4.8%
국가지원지방도 33
 
0.3%

Length

2024-05-18T04:28:15.812444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:16.176032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 6910
69.1%
일반국도 1351
 
13.5%
지방도 1222
 
12.2%
기타 484
 
4.8%
국가지원지방도 33
 
0.3%

도로노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7390
Missing (%)73.9%
Memory size156.2 KiB

도로노선명
Text

Distinct1288
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T04:28:16.753031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.1423
Min length3

Characters and Unicode

Total characters41423
Distinct characters334
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique424 ?
Unique (%)4.2%

Sample

1st row성남대로
2nd row영릉로
3rd row화합로
4th row포천로
5th row호국로
ValueCountFrequency (%)
호국로 357
 
3.6%
평화로 258
 
2.6%
경춘로 178
 
1.8%
부흥로 163
 
1.6%
화합로 140
 
1.4%
금강로 109
 
1.1%
삼육사로 100
 
1.0%
동구릉로 90
 
0.9%
동일로 85
 
0.8%
용민로 84
 
0.8%
Other values (1277) 8442
84.4%
2024-05-18T04:28:17.572994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9855
23.8%
길 1505
 
3.6%
번 1200
 
2.9%
1 804
 
1.9%
산 750
 
1.8%
동 725
 
1.8%
대 716
 
1.7%
화 593
 
1.4%
경 568
 
1.4%
호 562
 
1.4%
Other values (324) 24145
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37715
91.0%
Decimal Number 3698
 
8.9%
Space Separator 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9855
26.1%
길 1505
 
4.0%
번 1200
 
3.2%
산 750
 
2.0%
동 725
 
1.9%
대 716
 
1.9%
화 593
 
1.6%
경 568
 
1.5%
호 562
 
1.5%
강 557
 
1.5%
Other values (311) 20684
54.8%
Decimal Number
ValueCountFrequency (%)
1 804
21.7%
2 549
14.8%
3 424
11.5%
4 334
9.0%
6 332
9.0%
5 297
 
8.0%
8 267
 
7.2%
9 238
 
6.4%
0 227
 
6.1%
7 226
 
6.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37715
91.0%
Common 3708
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9855
26.1%
길 1505
 
4.0%
번 1200
 
3.2%
산 750
 
2.0%
동 725
 
1.9%
대 716
 
1.9%
화 593
 
1.6%
경 568
 
1.5%
호 562
 
1.5%
강 557
 
1.5%
Other values (311) 20684
54.8%
Common
ValueCountFrequency (%)
1 804
21.7%
2 549
14.8%
3 424
11.4%
4 334
9.0%
6 332
9.0%
5 297
 
8.0%
8 267
 
7.2%
9 238
 
6.4%
0 227
 
6.1%
7 226
 
6.1%
Other values (3) 10
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37715
91.0%
ASCII 3708
 
9.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9855
26.1%
길 1505
 
4.0%
번 1200
 
3.2%
산 750
 
2.0%
동 725
 
1.9%
대 716
 
1.9%
화 593
 
1.6%
경 568
 
1.5%
호 562
 
1.5%
강 557
 
1.5%
Other values (311) 20684
54.8%
ASCII
ValueCountFrequency (%)
1 804
21.7%
2 549
14.8%
3 424
11.4%
4 334
9.0%
6 332
9.0%
5 297
 
8.0%
8 267
 
7.2%
9 238
 
6.4%
0 227
 
6.1%
7 226
 
6.1%
Other values (3) 10
 
0.3%

도로노선방향
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
8567 
2
 
796
1
 
637

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 8567
85.7%
2 796
 
8.0%
1 637
 
6.4%

Length

2024-05-18T04:28:17.863294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:18.094095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 8567
85.7%
2 796
 
8.0%
1 637
 
6.4%

소재지도로명주소
Text

MISSING 

Distinct1344
Distinct (%)65.6%
Missing7952
Missing (%)79.5%
Memory size156.2 KiB
2024-05-18T04:28:18.604170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length18.875977
Min length13

Characters and Unicode

Total characters38658
Distinct characters278
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique958 ?
Unique (%)46.8%

Sample

1st row경기도 양주시 부흥로 1601
2nd row경기도 남양주시 진접읍 해밀예당2로 140
3rd row경기도 의정부시 장곡로596번길 19
4th row경기도 안산시 상록구 충장로 266 (이동)
5th row경기도 수원시 장안구 장안로53번길 3
ValueCountFrequency (%)
경기도 2048
 
22.1%
남양주시 404
 
4.4%
의정부시 358
 
3.9%
구리시 215
 
2.3%
양주시 214
 
2.3%
하남시 173
 
1.9%
안산시 159
 
1.7%
수원시 151
 
1.6%
성남시 143
 
1.5%
포천시 99
 
1.1%
Other values (1358) 5286
57.1%
2024-05-18T04:28:19.478904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7202
18.6%
경 2164
 
5.6%
도 2151
 
5.6%
시 2094
 
5.4%
기 2064
 
5.3%
로 1997
 
5.2%
1 1435
 
3.7%
2 1009
 
2.6%
남 796
 
2.1%
구 719
 
1.9%
Other values (268) 17027
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24171
62.5%
Space Separator 7202
 
18.6%
Decimal Number 6802
 
17.6%
Dash Punctuation 308
 
0.8%
Close Punctuation 85
 
0.2%
Open Punctuation 85
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 2164
 
9.0%
도 2151
 
8.9%
시 2094
 
8.7%
기 2064
 
8.5%
로 1997
 
8.3%
남 796
 
3.3%
구 719
 
3.0%
양 658
 
2.7%
주 637
 
2.6%
길 538
 
2.2%
Other values (253) 10353
42.8%
Decimal Number
ValueCountFrequency (%)
1 1435
21.1%
2 1009
14.8%
3 659
9.7%
4 652
9.6%
5 577
8.5%
0 563
 
8.3%
7 517
 
7.6%
6 510
 
7.5%
8 449
 
6.6%
9 431
 
6.3%
Space Separator
ValueCountFrequency (%)
7202
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24171
62.5%
Common 14487
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 2164
 
9.0%
도 2151
 
8.9%
시 2094
 
8.7%
기 2064
 
8.5%
로 1997
 
8.3%
남 796
 
3.3%
구 719
 
3.0%
양 658
 
2.7%
주 637
 
2.6%
길 538
 
2.2%
Other values (253) 10353
42.8%
Common
ValueCountFrequency (%)
7202
49.7%
1 1435
 
9.9%
2 1009
 
7.0%
3 659
 
4.5%
4 652
 
4.5%
5 577
 
4.0%
0 563
 
3.9%
7 517
 
3.6%
6 510
 
3.5%
8 449
 
3.1%
Other values (5) 914
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24171
62.5%
ASCII 14487
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7202
49.7%
1 1435
 
9.9%
2 1009
 
7.0%
3 659
 
4.5%
4 652
 
4.5%
5 577
 
4.0%
0 563
 
3.9%
7 517
 
3.6%
6 510
 
3.5%
8 449
 
3.1%
Other values (5) 914
 
6.3%
Hangul
ValueCountFrequency (%)
경 2164
 
9.0%
도 2151
 
8.9%
시 2094
 
8.7%
기 2064
 
8.5%
로 1997
 
8.3%
남 796
 
3.3%
구 719
 
3.0%
양 658
 
2.7%
주 637
 
2.6%
길 538
 
2.2%
Other values (253) 10353
42.8%

소재지지번주소
Text

Distinct5439
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T04:28:20.107522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length18.3018
Min length13

Characters and Unicode

Total characters183018
Distinct characters245
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

Unique3370 ?
Unique (%)33.7%

Sample

1st row경기도 성남시 수정구 복정동624-4
2nd row경기도 여주시 능서면 왕대리 산 130-3
3rd row경기도 양주시 고암동 579
4th row경기도 포천시 가산면 마산리 104-3
5th row경기도 포천시 선단동 산 34-5
ValueCountFrequency (%)
경기도 10000
22.9%
양주시 1755
 
4.0%
의정부시 1666
 
3.8%
남양주시 1425
 
3.3%
포천시 922
 
2.1%
구리시 900
 
2.1%
하남시 850
 
2.0%
오산시 842
 
1.9%
동두천시 371
 
0.9%
수원시 365
 
0.8%
Other values (5007) 24480
56.2%
2024-05-18T04:28:21.061839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33576
18.3%
도 10334
 
5.6%
기 10043
 
5.5%
시 10022
 
5.5%
경 10016
 
5.5%
동 8280
 
4.5%
- 6625
 
3.6%
1 6512
 
3.6%
2 4514
 
2.5%
3 4113
 
2.2%
Other values (235) 78983
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104746
57.2%
Decimal Number 38071
 
20.8%
Space Separator 33576
 
18.3%
Dash Punctuation 6625
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10334
 
9.9%
기 10043
 
9.6%
시 10022
 
9.6%
경 10016
 
9.6%
동 8280
 
7.9%
양 3517
 
3.4%
주 3474
 
3.3%
리 3344
 
3.2%
남 2786
 
2.7%
정 2417
 
2.3%
Other values (223) 40513
38.7%
Decimal Number
ValueCountFrequency (%)
1 6512
17.1%
2 4514
11.9%
3 4113
10.8%
4 3904
10.3%
5 3693
9.7%
6 3665
9.6%
7 3325
8.7%
8 2971
7.8%
9 2799
7.4%
0 2575
 
6.8%
Space Separator
ValueCountFrequency (%)
33576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6625
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104746
57.2%
Common 78272
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10334
 
9.9%
기 10043
 
9.6%
시 10022
 
9.6%
경 10016
 
9.6%
동 8280
 
7.9%
양 3517
 
3.4%
주 3474
 
3.3%
리 3344
 
3.2%
남 2786
 
2.7%
정 2417
 
2.3%
Other values (223) 40513
38.7%
Common
ValueCountFrequency (%)
33576
42.9%
- 6625
 
8.5%
1 6512
 
8.3%
2 4514
 
5.8%
3 4113
 
5.3%
4 3904
 
5.0%
5 3693
 
4.7%
6 3665
 
4.7%
7 3325
 
4.2%
8 2971
 
3.8%
Other values (2) 5374
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104746
57.2%
ASCII 78272
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33576
42.9%
- 6625
 
8.5%
1 6512
 
8.3%
2 4514
 
5.8%
3 4113
 
5.3%
4 3904
 
5.0%
5 3693
 
4.7%
6 3665
 
4.7%
7 3325
 
4.2%
8 2971
 
3.8%
Other values (2) 5374
 
6.9%
Hangul
ValueCountFrequency (%)
도 10334
 
9.9%
기 10043
 
9.6%
시 10022
 
9.6%
경 10016
 
9.6%
동 8280
 
7.9%
양 3517
 
3.4%
주 3474
 
3.3%
리 3344
 
3.2%
남 2786
 
2.7%
정 2417
 
2.3%
Other values (223) 40513
38.7%

위도
Real number (ℝ)

Distinct6079
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.640135
Minimum37.059473
Maximum38.157373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:21.448673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.059473
5-th percentile37.161017
Q137.553644
median37.708101
Q337.796895
95-th percentile37.90587
Maximum38.157373
Range1.0979006
Interquartile range (IQR)0.2432509

Descriptive statistics

Standard deviation0.22439742
Coefficient of variation (CV)0.0059616529
Kurtosis-0.036564952
Mean37.640135
Median Absolute Deviation (MAD)0.11322089
Skewness-0.78871703
Sum376401.35
Variance0.050354203
MonotonicityNot monotonic
2024-05-18T04:28:21.839013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.750203 26
 
0.3%
37.754339 19
 
0.2%
37.5451265182 17
 
0.2%
37.739246 16
 
0.2%
37.17746817 16
 
0.2%
37.64789954 15
 
0.1%
37.15130161 13
 
0.1%
37.745225 13
 
0.1%
37.81766785 13
 
0.1%
37.739502 13
 
0.1%
Other values (6069) 9839
98.4%
ValueCountFrequency (%)
37.0594729 1
< 0.1%
37.0897325 1
< 0.1%
37.09010755 1
< 0.1%
37.11315557 1
< 0.1%
37.11494449 1
< 0.1%
37.115193 1
< 0.1%
37.116736 1
< 0.1%
37.11965705 1
< 0.1%
37.12741671 1
< 0.1%
37.12755928 2
< 0.1%
ValueCountFrequency (%)
38.1573735 1
 
< 0.1%
38.1573356 1
 
< 0.1%
38.1571754 3
< 0.1%
38.1568846 1
 
< 0.1%
38.1516767 1
 
< 0.1%
38.1513587 2
< 0.1%
38.1489049 1
 
< 0.1%
38.1488852 2
< 0.1%
38.1487359 3
< 0.1%
38.1486779 1
 
< 0.1%

경도
Real number (ℝ)

Distinct6029
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.10254
Minimum126.54669
Maximum127.68636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:22.236106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54669
5-th percentile126.88704
Q1127.0462
median127.09187
Q3127.1698
95-th percentile127.29243
Maximum127.68636
Range1.1396685
Interquartile range (IQR)0.12359887

Descriptive statistics

Standard deviation0.12175682
Coefficient of variation (CV)0.00095794169
Kurtosis3.0838311
Mean127.10254
Median Absolute Deviation (MAD)0.05582355
Skewness0.026922029
Sum1271025.4
Variance0.014824724
MonotonicityNot monotonic
2024-05-18T04:28:22.654752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.037843 31
 
0.3%
127.113414 18
 
0.2%
127.2207421614 17
 
0.2%
127.0525422 16
 
0.2%
127.047584 15
 
0.1%
127.099606 15
 
0.1%
127.027216 15
 
0.1%
127.3022766 15
 
0.1%
127.040588 14
 
0.1%
127.108117 13
 
0.1%
Other values (6019) 9831
98.3%
ValueCountFrequency (%)
126.5466894 1
 
< 0.1%
126.5690485 1
 
< 0.1%
126.5698075 1
 
< 0.1%
126.5704731 1
 
< 0.1%
126.5712132 1
 
< 0.1%
126.5834719 1
 
< 0.1%
126.5878403 1
 
< 0.1%
126.5905259 1
 
< 0.1%
126.6861170163 1
 
< 0.1%
126.6873952239 8
0.1%
ValueCountFrequency (%)
127.6863579 1
< 0.1%
127.6818678 1
< 0.1%
127.6761378 1
< 0.1%
127.6698194 1
< 0.1%
127.6674555 1
< 0.1%
127.6642334 1
< 0.1%
127.6641077 1
< 0.1%
127.6614947 1
< 0.1%
127.6605317 1
< 0.1%
127.6582633 1
< 0.1%

신호기설치방식
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.4214
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:23.011040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.429617
Coefficient of variation (CV)2.1793735
Kurtosis3.3817961
Mean14.4214
Median Absolute Deviation (MAD)0
Skewness2.3192807
Sum144214
Variance987.8208
MonotonicityNot monotonic
2024-05-18T04:28:23.269900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 6763
67.6%
2 1795
 
17.9%
99 1213
 
12.1%
1 223
 
2.2%
4 5
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
1 223
 
2.2%
2 1795
 
17.9%
3 6763
67.6%
4 5
 
0.1%
5 1
 
< 0.1%
99 1213
 
12.1%
ValueCountFrequency (%)
99 1213
 
12.1%
5 1
 
< 0.1%
4 5
 
0.1%
3 6763
67.6%
2 1795
 
17.9%
1 223
 
2.2%

도로형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8780 
1
1218 
99
 
2

Length

Max length2
Median length1
Mean length1.0002
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 8780
87.8%
1 1218
 
12.2%
99 2
 
< 0.1%

Length

2024-05-18T04:28:23.566646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:23.821696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8780
87.8%
1 1218
 
12.2%
99 2
 
< 0.1%

주도로여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8119 
False
1881 
ValueCountFrequency (%)
True 8119
81.2%
False 1881
 
18.8%
2024-05-18T04:28:24.071901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

신호등관리번호
Text

Distinct8082
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T04:28:24.696020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.4132
Min length1

Characters and Unicode

Total characters94132
Distinct characters250
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7224 ?
Unique (%)72.2%

Sample

1st row101006
2nd row영릉-7
3rd row0058-02
4th row31270-TL-00703-03
5th row31270-TL-00660-01
ValueCountFrequency (%)
0021-01 63
 
0.6%
0021-02 56
 
0.6%
0021-03 24
 
0.2%
0055-01 15
 
0.1%
0021-04 13
 
0.1%
0087-01 12
 
0.1%
0037-01 12
 
0.1%
0090-01 11
 
0.1%
0064-02 10
 
0.1%
0073-01 10
 
0.1%
Other values (8078) 9780
97.7%
2024-05-18T04:28:25.857926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20706
22.0%
- 13187
14.0%
1 12472
13.2%
2 8113
 
8.6%
3 7089
 
7.5%
T 4346
 
4.6%
4 3600
 
3.8%
7 3506
 
3.7%
8 3471
 
3.7%
5 2935
 
3.1%
Other values (240) 14707
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 67162
71.3%
Dash Punctuation 13187
 
14.0%
Uppercase Letter 8944
 
9.5%
Other Letter 3453
 
3.7%
Connector Punctuation 942
 
1.0%
Other Punctuation 371
 
0.4%
Open Punctuation 37
 
< 0.1%
Close Punctuation 30
 
< 0.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 311
 
9.0%
기 308
 
8.9%
제 303
 
8.8%
단 159
 
4.6%
등 99
 
2.9%
상 98
 
2.8%
동 82
 
2.4%
거 79
 
2.3%
리 78
 
2.3%
사 75
 
2.2%
Other values (214) 1861
53.9%
Decimal Number
ValueCountFrequency (%)
0 20706
30.8%
1 12472
18.6%
2 8113
 
12.1%
3 7089
 
10.6%
4 3600
 
5.4%
7 3506
 
5.2%
8 3471
 
5.2%
5 2935
 
4.4%
6 2787
 
4.1%
9 2483
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
T 4346
48.6%
L 2673
29.9%
R 1667
 
18.6%
F 130
 
1.5%
B 108
 
1.2%
A 8
 
0.1%
P 8
 
0.1%
C 2
 
< 0.1%
M 1
 
< 0.1%
D 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 13187
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 942
100.0%
Other Punctuation
ValueCountFrequency (%)
. 371
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81735
86.8%
Latin 8944
 
9.5%
Hangul 3453
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 311
 
9.0%
기 308
 
8.9%
제 303
 
8.8%
단 159
 
4.6%
등 99
 
2.9%
상 98
 
2.8%
동 82
 
2.4%
거 79
 
2.3%
리 78
 
2.3%
사 75
 
2.2%
Other values (214) 1861
53.9%
Common
ValueCountFrequency (%)
0 20706
25.3%
- 13187
16.1%
1 12472
15.3%
2 8113
 
9.9%
3 7089
 
8.7%
4 3600
 
4.4%
7 3506
 
4.3%
8 3471
 
4.2%
5 2935
 
3.6%
6 2787
 
3.4%
Other values (6) 3869
 
4.7%
Latin
ValueCountFrequency (%)
T 4346
48.6%
L 2673
29.9%
R 1667
 
18.6%
F 130
 
1.5%
B 108
 
1.2%
A 8
 
0.1%
P 8
 
0.1%
C 2
 
< 0.1%
M 1
 
< 0.1%
D 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90679
96.3%
Hangul 3453
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20706
22.8%
- 13187
14.5%
1 12472
13.8%
2 8113
 
8.9%
3 7089
 
7.8%
T 4346
 
4.8%
4 3600
 
4.0%
7 3506
 
3.9%
8 3471
 
3.8%
5 2935
 
3.2%
Other values (16) 11254
12.4%
Hangul
ValueCountFrequency (%)
어 311
 
9.0%
기 308
 
8.9%
제 303
 
8.8%
단 159
 
4.6%
등 99
 
2.9%
상 98
 
2.8%
동 82
 
2.4%
거 79
 
2.3%
리 78
 
2.3%
사 75
 
2.2%
Other values (214) 1861
53.9%

신호등구분
Real number (ℝ)

SKEWED 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.425
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:26.152167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5190493
Coefficient of variation (CV)1.7677539
Kurtosis1348.8385
Mean1.425
Median Absolute Deviation (MAD)0
Skewness34.99224
Sum14250
Variance6.3456096
MonotonicityNot monotonic
2024-05-18T04:28:26.628336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 7189
71.9%
2 2559
 
25.6%
6 145
 
1.5%
5 82
 
0.8%
4 12
 
0.1%
3 7
 
0.1%
99 6
 
0.1%
ValueCountFrequency (%)
1 7189
71.9%
2 2559
 
25.6%
3 7
 
0.1%
4 12
 
0.1%
5 82
 
0.8%
6 145
 
1.5%
99 6
 
0.1%
ValueCountFrequency (%)
99 6
 
0.1%
6 145
 
1.5%
5 82
 
0.8%
4 12
 
0.1%
3 7
 
0.1%
2 2559
 
25.6%
1 7189
71.9%

신호등색종류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
3336 
4
2821 
2
2674 
1
1169 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 3336
33.4%
4 2821
28.2%
2 2674
26.7%
1 1169
 
11.7%

Length

2024-05-18T04:28:27.007144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:27.457605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3336
33.4%
4 2821
28.2%
2 2674
26.7%
1 1169
 
11.7%

신호등화방식
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6739
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T04:28:27.789664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation13.383134
Coefficient of variation (CV)2.8633761
Kurtosis45.401517
Mean4.6739
Median Absolute Deviation (MAD)1
Skewness6.8591179
Sum46739
Variance179.10827
MonotonicityNot monotonic
2024-05-18T04:28:28.149805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 4183
41.8%
2 2670
26.7%
1 1170
 
11.7%
5 1152
 
11.5%
4 629
 
6.3%
99 196
 
2.0%
ValueCountFrequency (%)
1 1170
 
11.7%
2 2670
26.7%
3 4183
41.8%
4 629
 
6.3%
5 1152
 
11.5%
99 196
 
2.0%
ValueCountFrequency (%)
99 196
 
2.0%
5 1152
 
11.5%
4 629
 
6.3%
3 4183
41.8%
2 2670
26.7%
1 1170
 
11.7%

신호등화순서
Text

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T04:28:28.645522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length68
Mean length9.9887
Min length2

Characters and Unicode

Total characters99887
Distinct characters16
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

Unique66 ?
Unique (%)0.7%

Sample

1st row녹색+황색+적색/녹색화살표+적색/황색등화+적색등화
2nd row녹색+황색/녹색+녹색/녹색화살표+황색+적색/녹색화살표+적색/황색
3rd row녹색+황색+적색
4th row녹색+황색+적색
5th row녹색+황색+녹색화살/적색+적색/황색+적색
ValueCountFrequency (%)
녹색+황색+적색 2586
25.8%
녹색+적색 2249
22.5%
황색점멸 612
 
6.1%
녹색/녹색화살+황색+적색 580
 
5.8%
녹색+황색+녹색화살/적색+황색/적색+적색 527
 
5.3%
녹색화살/적색+황색/적색+적색 388
 
3.9%
적색+녹색 384
 
3.8%
황색 381
 
3.8%
녹색/녹색화살표+황색+적색 294
 
2.9%
녹색+녹색화살표+황색+적색 228
 
2.3%
Other values (172) 1785
17.8%
2024-05-18T04:28:29.733426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
색 32543
32.6%
+ 18613
18.6%
녹 12355
 
12.4%
적 12350
 
12.4%
황 8612
 
8.6%
/ 4975
 
5.0%
화 3763
 
3.8%
살 3635
 
3.6%
표 1250
 
1.3%
점 771
 
0.8%
Other values (6) 1020
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76285
76.4%
Math Symbol 18613
 
18.6%
Other Punctuation 4975
 
5.0%
Space Separator 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
색 32543
42.7%
녹 12355
 
16.2%
적 12350
 
16.2%
황 8612
 
11.3%
화 3763
 
4.9%
살 3635
 
4.8%
표 1250
 
1.6%
점 771
 
1.0%
멸 666
 
0.9%
등 233
 
0.3%
Other values (3) 107
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 18613
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4975
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76285
76.4%
Common 23602
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
색 32543
42.7%
녹 12355
 
16.2%
적 12350
 
16.2%
황 8612
 
11.3%
화 3763
 
4.9%
살 3635
 
4.8%
표 1250
 
1.6%
점 771
 
1.0%
멸 666
 
0.9%
등 233
 
0.3%
Other values (3) 107
 
0.1%
Common
ValueCountFrequency (%)
+ 18613
78.9%
/ 4975
 
21.1%
14
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76285
76.4%
ASCII 23602
 
23.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
색 32543
42.7%
녹 12355
 
16.2%
적 12350
 
16.2%
황 8612
 
11.3%
화 3763
 
4.9%
살 3635
 
4.8%
표 1250
 
1.6%
점 771
 
1.0%
멸 666
 
0.9%
등 233
 
0.3%
Other values (3) 107
 
0.1%
ASCII
ValueCountFrequency (%)
+ 18613
78.9%
/ 4975
 
21.1%
14
 
0.1%

신호등화시간
Text

Distinct4046
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T04:28:30.424645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7.3679
Min length1

Characters and Unicode

Total characters73679
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2466 ?
Unique (%)24.7%

Sample

1st row70+3+30+45+55
2nd row80+3+32+3+29+3
3rd row75+4+51
4th row24+3+111
5th row45+4+17+3+81
ValueCountFrequency (%)
0 802
 
8.0%
2+2 403
 
4.0%
1 286
 
2.9%
2+1+1+2 225
 
2.2%
2+1+2 198
 
2.0%
2+1+7+4+4 129
 
1.3%
점멸 80
 
0.8%
25+85 72
 
0.7%
96+19 56
 
0.6%
30+120 33
 
0.3%
Other values (4038) 7719
77.2%
2024-05-18T04:28:31.416085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 18552
25.2%
3 9989
13.6%
1 9187
12.5%
2 8833
12.0%
0 4775
 
6.5%
4 4655
 
6.3%
5 3652
 
5.0%
7 3473
 
4.7%
6 3100
 
4.2%
9 2916
 
4.0%
Other values (5) 4547
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52894
71.8%
Math Symbol 18552
 
25.2%
Other Punctuation 2070
 
2.8%
Other Letter 160
 
0.2%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9989
18.9%
1 9187
17.4%
2 8833
16.7%
0 4775
9.0%
4 4655
8.8%
5 3652
 
6.9%
7 3473
 
6.6%
6 3100
 
5.9%
9 2916
 
5.5%
8 2314
 
4.4%
Other Letter
ValueCountFrequency (%)
점 80
50.0%
멸 80
50.0%
Math Symbol
ValueCountFrequency (%)
+ 18552
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2070
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73519
99.8%
Hangul 160
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
+ 18552
25.2%
3 9989
13.6%
1 9187
12.5%
2 8833
12.0%
0 4775
 
6.5%
4 4655
 
6.3%
5 3652
 
5.0%
7 3473
 
4.7%
6 3100
 
4.2%
9 2916
 
4.0%
Other values (3) 4387
 
6.0%
Hangul
ValueCountFrequency (%)
점 80
50.0%
멸 80
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73519
99.8%
Hangul 160
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 18552
25.2%
3 9989
13.6%
1 9187
12.5%
2 8833
12.0%
0 4775
 
6.5%
4 4655
 
6.3%
5 3652
 
5.0%
7 3473
 
4.7%
6 3100
 
4.2%
9 2916
 
4.0%
Other values (3) 4387
 
6.0%
Hangul
ValueCountFrequency (%)
점 80
50.0%
멸 80
50.0%

광원종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9982 
99
 
18

Length

Max length2
Median length1
Mean length1.0018
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 9982
99.8%
99 18
 
0.2%

Length

2024-05-18T04:28:31.843736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:32.154663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9982
99.8%
99 18
 
0.2%

신호제어방식
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4238 
3
3582 
2
1963 
99
 
217

Length

Max length2
Median length1
Mean length1.0217
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4238
42.4%
3 3582
35.8%
2 1963
19.6%
99 217
 
2.2%

Length

2024-05-18T04:28:32.482338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:32.758624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4238
42.4%
3 3582
35.8%
2 1963
19.6%
99 217
 
2.2%

신호시간결정방식
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
9964 
3
 
30
99
 
6

Length

Max length2
Median length1
Mean length1.0006
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 9964
99.6%
3 30
 
0.3%
99 6
 
0.1%

Length

2024-05-18T04:28:33.087783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:28:33.398654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9964
99.6%
3 30
 
0.3%
99 6
 
0.1%

점멸등운영여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7264 
True
2736 
ValueCountFrequency (%)
False 7264
72.6%
True 2736
 
27.4%
2024-05-18T04:28:33.672431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점멸등운영시작시각
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
00:00
9240 
23:59
 
428
22:00
 
111
20:00
 
75
23:00
 
63
Other values (17)
 
83

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row00:00
2nd row00:00
3rd row23:59
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 9240
92.4%
23:59 428
 
4.3%
22:00 111
 
1.1%
20:00 75
 
0.8%
23:00 63
 
0.6%
01:00 23
 
0.2%
21:00 16
 
0.2%
09:00 12
 
0.1%
18:00 6
 
0.1%
17:00 5
 
0.1%
Other values (12) 21
 
0.2%

Length

2024-05-18T04:28:34.003735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 9240
92.4%
23:59 428
 
4.3%
22:00 111
 
1.1%
20:00 75
 
0.8%
23:00 63
 
0.6%
01:00 23
 
0.2%
21:00 16
 
0.2%
09:00 12
 
0.1%
18:00 6
 
0.1%
17:00 5
 
< 0.1%
Other values (12) 21
 
0.2%

점멸등운영종료시각
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
00:00
7264 
23:59
1169 
06:00
 
725
05:00
 
700
07:00
 
93
Other values (13)
 
49

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique7 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 7264
72.6%
23:59 1169
 
11.7%
06:00 725
 
7.2%
05:00 700
 
7.0%
07:00 93
 
0.9%
08:00 20
 
0.2%
12:00 8
 
0.1%
07:30 6
 
0.1%
11:30 3
 
< 0.1%
04:30 3
 
< 0.1%
Other values (8) 9
 
0.1%

Length

2024-05-18T04:28:34.639817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00 7264
72.6%
23:59 1169
 
11.7%
06:00 725
 
7.2%
05:00 700
 
7.0%
07:00 93
 
0.9%
08:00 20
 
0.2%
12:00 8
 
0.1%
07:30 6
 
0.1%
04:30 3
 
< 0.1%
11:30 3
 
< 0.1%
Other values (8) 9
 
0.1%

보행자작동신호기유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9416 
True
 
584
ValueCountFrequency (%)
False 9416
94.2%
True 584
 
5.8%
2024-05-18T04:28:35.009897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

잔여시간표시기유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
6742 
True
3258 
ValueCountFrequency (%)
False 6742
67.4%
True 3258
32.6%
2024-05-18T04:28:35.263898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시각장애인용음향신호기유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8603 
True
1397 
ValueCountFrequency (%)
False 8603
86.0%
True 1397
 
14.0%
2024-05-18T04:28:35.509300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로안내표지일련번호
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing9980
Missing (%)99.8%
Memory size156.2 KiB
2024-05-18T04:28:36.056165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length13.35
Min length12

Characters and Unicode

Total characters267
Distinct characters40
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)80.0%

Sample

1st rowUR-[가금로33번길]-상-1
2nd rowUR-[장곡로]-상-28
3rd rowUR-[신흥로]-상-33
4th rowUR-[체육로]-상-24
5th rowUR-[의정로]-상-22
ValueCountFrequency (%)
ur-[호국로]-상-34 2
 
10.0%
ur-[의정로]-상-22 2
 
10.0%
ur-[안말로]-상-1 1
 
5.0%
nr-3-[평화로]-상-59 1
 
5.0%
ur-[체육로]-상-17 1
 
5.0%
nr-3-[평화로]-상-99 1
 
5.0%
ur-[호국로]-상-32 1
 
5.0%
ur-[시민로]-상-16 1
 
5.0%
ur-[비우로]-상-1 1
 
5.0%
ur-[시민로]-상-4 1
 
5.0%
Other values (8) 8
40.0%
2024-05-18T04:28:37.059669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
23.2%
[ 20
 
7.5%
R 20
 
7.5%
로 20
 
7.5%
] 20
 
7.5%
상 20
 
7.5%
U 18
 
6.7%
3 10
 
3.7%
2 9
 
3.4%
4 5
 
1.9%
Other values (30) 63
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84
31.5%
Dash Punctuation 62
23.2%
Decimal Number 41
15.4%
Uppercase Letter 40
15.0%
Open Punctuation 20
 
7.5%
Close Punctuation 20
 
7.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 20
23.8%
상 20
23.8%
국 4
 
4.8%
호 4
 
4.8%
신 3
 
3.6%
흥 3
 
3.6%
길 2
 
2.4%
평 2
 
2.4%
우 2
 
2.4%
비 2
 
2.4%
Other values (14) 22
26.2%
Decimal Number
ValueCountFrequency (%)
3 10
24.4%
2 9
22.0%
4 5
12.2%
1 5
12.2%
9 3
 
7.3%
5 3
 
7.3%
8 2
 
4.9%
0 2
 
4.9%
6 1
 
2.4%
7 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
R 20
50.0%
U 18
45.0%
N 2
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 20
100.0%
Close Punctuation
ValueCountFrequency (%)
] 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
53.6%
Hangul 84
31.5%
Latin 40
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 20
23.8%
상 20
23.8%
국 4
 
4.8%
호 4
 
4.8%
신 3
 
3.6%
흥 3
 
3.6%
길 2
 
2.4%
평 2
 
2.4%
우 2
 
2.4%
비 2
 
2.4%
Other values (14) 22
26.2%
Common
ValueCountFrequency (%)
- 62
43.4%
[ 20
 
14.0%
] 20
 
14.0%
3 10
 
7.0%
2 9
 
6.3%
4 5
 
3.5%
1 5
 
3.5%
9 3
 
2.1%
5 3
 
2.1%
8 2
 
1.4%
Other values (3) 4
 
2.8%
Latin
ValueCountFrequency (%)
R 20
50.0%
U 18
45.0%
N 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
68.5%
Hangul 84
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
33.9%
[ 20
 
10.9%
R 20
 
10.9%
] 20
 
10.9%
U 18
 
9.8%
3 10
 
5.5%
2 9
 
4.9%
4 5
 
2.7%
1 5
 
2.7%
9 3
 
1.6%
Other values (6) 11
 
6.0%
Hangul
ValueCountFrequency (%)
로 20
23.8%
상 20
23.8%
국 4
 
4.8%
호 4
 
4.8%
신 3
 
3.6%
흥 3
 
3.6%
길 2
 
2.4%
평 2
 
2.4%
우 2
 
2.4%
비 2
 
2.4%
Other values (14) 22
26.2%

관리기관명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 양주시청
1755 
경기도 의정부시청
1666 
경기도 남양주시청
1425 
경기도 포천시청
922 
경기도 구리시청
900 
Other values (12)
3332 

Length

Max length15
Median length8
Mean length8.7975
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 성남시청
2nd row경기도 여주시청
3rd row경기도 양주시청
4th row경기도 포천시청
5th row경기도 포천시청

Common Values

ValueCountFrequency (%)
경기도 양주시청 1755
17.5%
경기도 의정부시청 1666
16.7%
경기도 남양주시청 1425
14.2%
경기도 포천시청 922
9.2%
경기도 구리시청 900
9.0%
경기도 하남시청 850
8.5%
경기도 오산시청 843
8.4%
경기도 동두천시청 교통행정과 371
 
3.7%
수원시도시안전통합센터 366
 
3.7%
경기도 파주경찰서 217
 
2.2%
Other values (7) 685
 
6.9%

Length

2024-05-18T04:28:37.549144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9417
47.1%
양주시청 1755
 
8.8%
의정부시청 1666
 
8.3%
남양주시청 1425
 
7.1%
포천시청 922
 
4.6%
구리시청 900
 
4.5%
하남시청 850
 
4.3%
오산시청 843
 
4.2%
동두천시청 371
 
1.9%
교통행정과 371
 
1.9%
Other values (11) 1479
 
7.4%

관리기관전화번호
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-8082-4114
1755 
031-828-4845
1666 
031-590-2114
1425 
031-538-2114
922 
031-557-1010
900 
Other values (13)
3332 

Length

Max length13
Median length12
Mean length12.2815
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-729-3675
2nd row031-887-2456
3rd row031-8082-4114
4th row031-538-2114
5th row031-538-2114

Common Values

ValueCountFrequency (%)
031-8082-4114 1755
17.5%
031-828-4845 1666
16.7%
031-590-2114 1425
14.2%
031-538-2114 922
9.2%
031-557-1010 900
9.0%
031-790-6114 850
8.5%
031-8036-6797 843
8.4%
031-860-2432 371
 
3.7%
031-228-4432 366
 
3.7%
031-956-5351 217
 
2.2%
Other values (8) 685
 
6.9%

Length

2024-05-18T04:28:38.004870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-8082-4114 1755
17.5%
031-828-4845 1666
16.7%
031-590-2114 1425
14.2%
031-538-2114 922
9.2%
031-557-1010 900
9.0%
031-790-6114 850
8.5%
031-8036-6797 843
8.4%
031-860-2432 371
 
3.7%
031-228-4432 366
 
3.7%
031-956-5351 217
 
2.2%
Other values (8) 685
 
6.9%

데이터기준일자
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-01
1755 
2023-03-02
1666 
2023-12-05
1425 
2023-10-19
1117 
2022-12-12
922 
Other values (9)
3115 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-11
2nd row2023-11-15
3rd row2023-12-01
4th row2022-12-12
5th row2022-12-12

Common Values

ValueCountFrequency (%)
2023-12-01 1755
17.5%
2023-03-02 1666
16.7%
2023-12-05 1425
14.2%
2023-10-19 1117
11.2%
2022-12-12 922
9.2%
2023-07-06 850
8.5%
2023-04-20 843
8.4%
2023-12-14 453
 
4.5%
2024-01-02 366
 
3.7%
2023-12-15 217
 
2.2%
Other values (4) 386
 
3.9%

Length

2024-05-18T04:28:38.418800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-01 1755
17.5%
2023-03-02 1666
16.7%
2023-12-05 1425
14.2%
2023-10-19 1117
11.2%
2022-12-12 922
9.2%
2023-07-06 850
8.5%
2023-04-20 843
8.4%
2023-12-14 453
 
4.5%
2024-01-02 366
 
3.7%
2023-12-15 217
 
2.2%
Other values (4) 386
 
3.9%

Sample

시군코드시군명시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등관리번호신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자
1108441130성남시경기도성남시 수정구시도NaN성남대로3<NA>경기도 성남시 수정구 복정동624-437.450519127.12664612Y101006145녹색+황색+적색/녹색화살표+적색/황색등화+적색등화70+3+30+45+55211N00:0000:00NYY<NA>경기도 성남시청031-729-36752023-10-11
1999041670여주시경기도여주시기타NaN영릉로3<NA>경기도 여주시 능서면 왕대리 산 130-337.298103127.61496712Y영릉-71499녹색+황색/녹색+녹색/녹색화살표+황색+적색/녹색화살표+적색/황색80+3+32+3+29+3231N00:0000:00NNN<NA>경기도 여주시청031-887-24562023-11-15
1707841630양주시경기도양주시지방도56번화합로3<NA>경기도 양주시 고암동 57937.837285127.07333432Y0058-02133녹색+황색+적색75+4+51211Y23:5906:00NNN<NA>경기도 양주시청031-8082-41142023-12-01
3111641650포천시경기도포천시일반국도87포천로3<NA>경기도 포천시 가산면 마산리 104-337.843865127.19651332Y31270-TL-00703-03133녹색+황색+적색24+3+111211N00:0000:00NNN<NA>경기도 포천시청031-538-21142022-12-12
3243141650포천시경기도포천시시도NaN호국로3<NA>경기도 포천시 선단동 산 34-537.861169127.15971432Y31270-TL-00660-01145녹색+황색+녹색화살/적색+적색/황색+적색45+4+17+3+81211N00:0000:00NNN<NA>경기도 포천시청031-538-21142022-12-12
1941841630양주시경기도양주시시도NaN회천남로3<NA>경기도 양주시 옥정동 93537.817668127.08700832Y0075-02145녹색+황색+녹색화살/적색+황색/적색+적색67+4+16/16+3/3+60211N00:0000:00NNN<NA>경기도 양주시청031-8082-41142023-12-01
1537741630양주시경기도양주시지방도98번동일로3경기도 양주시 부흥로 1601경기도 양주시 마전동 116-237.779965127.05008732Y0004-03133녹색+황색+적색999+3+24211N00:0000:00NNN<NA>경기도 양주시청031-8082-41142023-12-01
78441310구리시경기도구리시시도NaN갈매중앙로3<NA>경기도 구리시 갈매동 58537.628575127.11527532N31120-TL-00818-02143녹색/녹색화살+황색+적색28+3+119211N00:0000:00NNN<NA>경기도 구리시청031-557-10102023-10-19
656041360남양주시경기도남양주시시도NaN해밀예당2로1경기도 남양주시 진접읍 해밀예당2로 140경기도 남양주시 진접읍 금곡리 1063-3번지37.718061127.20375232Y29501499녹색+황색+적색+녹색화살표+황색+적색30+4+10+20+4+55231Y00:0006:00NYY<NA>경기도 남양주시청031-590-21142023-12-05
2830941150의정부시경기도의정부시시도NaN장곡로596번길3경기도 의정부시 장곡로596번길 19경기도 의정부시 신곡동 760-437.749064127.06955632Y1750-TR-02133녹색화살/적색+황색/적색+적색18/18+3/3+65231N00:0000:00NNN<NA>경기도 의정부시청031-828-48452023-03-02
시군코드시군명시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등관리번호신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자
2243841370오산시경기도오산시일반국도1번경기대로3<NA>경기도 오산시 갈곶동 71837.129329127.07196992Y2820133녹색+황색+적색2+1+2221N00:0000:00NNN<NA>경기도 오산시청031-8036-67972023-04-20
813941360남양주시경기도남양주시시도NaN미금로1경기도 남양주시 다산순환로 20경기도 남양주시 다산동 6143-137.612168127.15255632Y493133녹색+황색+적색64+3+59231N00:0000:00NYN<NA>경기도 남양주시청031-590-21142023-12-05
1486741630양주시경기도양주시지방도371번감악산로3<NA>경기도 양주시 남면 신암리 202-137.910079126.95657131Y0040-04111황색점멸0211Y00:0023:59NNN<NA>경기도 양주시청031-8082-41142023-12-01
697841360남양주시경기도남양주시시도NaN천마산로1<NA>경기도 남양주시 호평동 411-1137.665295127.24735922Y4063222녹색+적색96+19231N00:0000:00NYN<NA>경기도 남양주시청031-590-21142023-12-05
437241360남양주시경기도남양주시시도NaN진벌로2경기도 남양주시 진접읍 진벌로 85경기도 남양주시 진접읍 진벌리 546-7번지37.744137127.21483932Y3493133녹색+황색+적색138+3+57231Y23:0006:00NYN<NA>경기도 남양주시청031-590-21142023-12-05
2948841150의정부시경기도의정부시시도NaN전좌로156번길3<NA>경기도 의정부시 호원동 309-437.722569127.04384332N0842-TR-01145녹색+황색+녹색화살/적색+황색/적색+적색55+3+11/11+3/3+68231N00:0000:00NNN<NA>경기도 의정부시청031-828-48452023-03-02
2262041370오산시경기도오산시시도NaN북삼미로3<NA>경기도 오산시 외삼미동 72-237.194367127.060191992Y3117144녹색+녹색화살표+황색+적색2+1+1+2221N00:0000:00NNN<NA>경기도 오산시청031-8036-67972023-04-20
1794641630양주시경기도양주시시도NaN원학로3<NA>경기도 양주시 광사동 449-337.779015127.07114132Y0047-02133녹색화살/적색+황색/적색+적색32/32+3/3+115211Y23:5906:00NNN<NA>경기도 양주시청031-8082-41142023-12-01
1486241630양주시경기도양주시시도NaN고읍로35번길3<NA>경기도 양주시 고읍동 451-137.798666127.08023431N0017-01111황색점멸0211Y00:0023:59NNN<NA>경기도 양주시청031-8082-41142023-12-01
1863041630양주시경기도양주시일반국도3번평화로3<NA>경기도 양주시 은현면 용암리 267-537.857906127.05488532Y0037-05133녹색화살/적색+황색/적색+적색27/27+3/3+120211N00:0000:00NNN<NA>경기도 양주시청031-8082-41142023-12-01

Duplicate rows

Most frequently occurring

시군코드시군명시도명시군구명도로종류도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도신호기설치방식도로형태주도로여부신호등관리번호신호등구분신호등색종류신호등화방식신호등화순서신호등화시간광원종류신호제어방식신호시간결정방식점멸등운영여부점멸등운영시작시각점멸등운영종료시각보행자작동신호기유무잔여시간표시기유무시각장애인용음향신호기유무도로안내표지일련번호관리기관명관리기관전화번호데이터기준일자# duplicates
041250동두천시경기도동두천시시도거북마루로3<NA>경기도 동두천시 지행동 70537.895843127.05370231Y연등_121-1.부영604동(연등)_133적색+황색+녹색91+3+56211N00:0000:00NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
141250동두천시경기도동두천시시도동두천로3<NA>경기도 동두천시 지행동 71537.894854127.05523631Y연등_119-1.대방8단지(연등)_3111황색0211Y00:0023:59NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
241250동두천시경기도동두천시시도못골로3<NA>경기도 동두천시 생연동 200-1637.908882127.06829832Y제어기_238.해바라기유치원(못골삼거111황색0211Y00:0023:59NYN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
341250동두천시경기도동두천시시도원터강변로17번길3<NA>경기도 동두천시 동두천동 224-737.925592127.05253731Y제어기_162.비바공원(동두어린이공원111황색0211Y00:0023:59NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
441250동두천시경기도동두천시일반국도평화로3<NA>경기도 동두천시 생연동 504-2237.910885127.0580131Y연등_021-1.보영여고입구(연등)_133녹색+황색+적색117+3+30211N00:0000:00NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
541250동두천시경기도동두천시지방도탐동가산로3<NA>경기도 동두천시 탑동동 73-737.889952127.13347832Y연등_199-1.광암마산간4(연등)_133녹색+황색+적색117+3+30211N00:0000:00NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142
641250동두천시경기도동두천시지방도행선로3<NA>경기도 동두천시 생연동 396-237.898938127.06234532Y보조등_137.불현동행정복지센터(보조522녹색+적색130+20211N00:0000:00NNN<NA>경기도 동두천시청 교통행정과031-860-24322023-12-142