Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells30832
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory224.0 B

Variable types

Categorical6
Text4
Boolean9
Numeric7

Alerts

시도명 has constant value ""Constant
횡단보도종류 is highly imbalanced (64.6%)Imbalance
고원식적용여부 is highly imbalanced (66.8%)Imbalance
보행자작동신호기유무 is highly imbalanced (53.3%)Imbalance
소재지도로명주소 has 8132 (81.3%) missing valuesMissing
자전거횡단도겸용여부 has 2787 (27.9%) missing valuesMissing
보행자작동신호기유무 has 2813 (28.1%) missing valuesMissing
음향신호기설치여부 has 2816 (28.2%) missing valuesMissing
녹색신호시간 has 4774 (47.7%) missing valuesMissing
적색신호시간 has 4836 (48.4%) missing valuesMissing
보도턱낮춤여부 has 2109 (21.1%) missing valuesMissing
집중조명시설유무 has 2565 (25.7%) missing valuesMissing
횡단보도폭 is highly skewed (γ1 = 90.18324939)Skewed
적색신호시간 is highly skewed (γ1 = 38.15879888)Skewed
녹색신호시간 has 2383 (23.8%) zerosZeros
적색신호시간 has 2384 (23.8%) zerosZeros

Reproduction

Analysis started2024-05-03 19:16:24.710185
Analysis finished2024-05-03 19:16:27.018345
Duration2.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

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

2024-05-03T19:16:27.198427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:16:27.474430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 10000
100.0%

시군구명
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남양주시
1468 
의정부시
1402 
수원시청
1238 
양주시
982 
오산시
836 
Other values (13)
4074 

Length

Max length7
Median length3
Mean length3.6019
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의정부시
2nd row남양주시
3rd row수원시청
4th row남양주시
5th row이천시

Common Values

ValueCountFrequency (%)
남양주시 1468
14.7%
의정부시 1402
14.0%
수원시청 1238
12.4%
양주시 982
9.8%
오산시 836
8.4%
포천시 738
7.4%
하남시 682
6.8%
여주시 655
6.6%
동두천시 387
 
3.9%
이천시 384
 
3.8%
Other values (8) 1228
12.3%

Length

2024-05-03T19:16:27.832012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 1468
14.2%
의정부시 1402
13.6%
수원시청 1238
12.0%
양주시 982
9.5%
오산시 836
8.1%
포천시 738
7.2%
하남시 682
6.6%
여주시 655
6.3%
동두천시 387
 
3.8%
이천시 384
 
3.7%
Other values (9) 1546
15.0%

도로명
Text

Distinct1735
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:16:28.385280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.392
Min length1

Characters and Unicode

Total characters43920
Distinct characters342
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)6.0%

Sample

1st row평화로
2nd row덕소로
3rd row인계로
4th row다산중앙로
5th row애련정로
ValueCountFrequency (%)
호국로 148
 
1.5%
평화로 130
 
1.3%
경춘로 123
 
1.2%
부흥로 106
 
1.1%
중앙로 90
 
0.9%
경기대로 77
 
0.8%
죽엽산로 75
 
0.7%
수레로 69
 
0.7%
삼육사로 56
 
0.6%
서부로 55
 
0.5%
Other values (1730) 9127
90.8%
2024-05-03T19:16:29.439539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9662
 
22.0%
길 1946
 
4.4%
번 1657
 
3.8%
1 1028
 
2.3%
대 835
 
1.9%
산 830
 
1.9%
2 784
 
1.8%
강 641
 
1.5%
동 598
 
1.4%
사 546
 
1.2%
Other values (332) 25393
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38939
88.7%
Decimal Number 4880
 
11.1%
Space Separator 56
 
0.1%
Uppercase Letter 25
 
0.1%
Dash Punctuation 14
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9662
24.8%
길 1946
 
5.0%
번 1657
 
4.3%
대 835
 
2.1%
산 830
 
2.1%
강 641
 
1.6%
동 598
 
1.5%
사 546
 
1.4%
미 483
 
1.2%
경 457
 
1.2%
Other values (315) 21284
54.7%
Decimal Number
ValueCountFrequency (%)
1 1028
21.1%
2 784
16.1%
3 507
10.4%
4 487
10.0%
6 431
8.8%
5 395
 
8.1%
8 326
 
6.7%
7 314
 
6.4%
0 311
 
6.4%
9 297
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
C 13
52.0%
I 11
44.0%
K 1
 
4.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38939
88.7%
Common 4956
 
11.3%
Latin 25
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9662
24.8%
길 1946
 
5.0%
번 1657
 
4.3%
대 835
 
2.1%
산 830
 
2.1%
강 641
 
1.6%
동 598
 
1.5%
사 546
 
1.4%
미 483
 
1.2%
경 457
 
1.2%
Other values (315) 21284
54.7%
Common
ValueCountFrequency (%)
1 1028
20.7%
2 784
15.8%
3 507
10.2%
4 487
9.8%
6 431
8.7%
5 395
 
8.0%
8 326
 
6.6%
7 314
 
6.3%
0 311
 
6.3%
9 297
 
6.0%
Other values (4) 76
 
1.5%
Latin
ValueCountFrequency (%)
C 13
52.0%
I 11
44.0%
K 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38939
88.7%
ASCII 4981
 
11.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9662
24.8%
길 1946
 
5.0%
번 1657
 
4.3%
대 835
 
2.1%
산 830
 
2.1%
강 641
 
1.6%
동 598
 
1.5%
사 546
 
1.4%
미 483
 
1.2%
경 457
 
1.2%
Other values (315) 21284
54.7%
ASCII
ValueCountFrequency (%)
1 1028
20.6%
2 784
15.7%
3 507
10.2%
4 487
9.8%
6 431
8.7%
5 395
 
7.9%
8 326
 
6.5%
7 314
 
6.3%
0 311
 
6.2%
9 297
 
6.0%
Other values (7) 101
 
2.0%

소재지도로명주소
Text

MISSING 

Distinct1518
Distinct (%)81.3%
Missing8132
Missing (%)81.3%
Memory size156.2 KiB
2024-05-03T19:16:30.007376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length43
Mean length20.555675
Min length13

Characters and Unicode

Total characters38398
Distinct characters291
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

Unique1335 ?
Unique (%)71.5%

Sample

1st row경기도 의정부시 평화로 355-2
2nd row경기도 수원시 팔달구 인계로 143
3rd row경기도 의정부시 평화로 206
4th row경기도 수원시 장안구 장안로 191
5th row경기도 수원시 권선구 경수대로 271
ValueCountFrequency (%)
경기도 1868
 
20.4%
수원시 766
 
8.4%
성남시 302
 
3.3%
권선구 292
 
3.2%
분당구 196
 
2.1%
의정부시 193
 
2.1%
장안구 188
 
2.1%
남양주시 188
 
2.1%
팔달구 148
 
1.6%
영통구 138
 
1.5%
Other values (1536) 4878
53.3%
2024-05-03T19:16:30.822903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7289
19.0%
경 1962
 
5.1%
도 1916
 
5.0%
시 1906
 
5.0%
기 1873
 
4.9%
로 1854
 
4.8%
1 1174
 
3.1%
구 1162
 
3.0%
수 1007
 
2.6%
원 955
 
2.5%
Other values (281) 17300
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24216
63.1%
Space Separator 7289
 
19.0%
Decimal Number 6038
 
15.7%
Dash Punctuation 288
 
0.8%
Open Punctuation 238
 
0.6%
Close Punctuation 238
 
0.6%
Other Punctuation 83
 
0.2%
Uppercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1962
 
8.1%
도 1916
 
7.9%
시 1906
 
7.9%
기 1873
 
7.7%
로 1854
 
7.7%
구 1162
 
4.8%
수 1007
 
4.2%
원 955
 
3.9%
남 634
 
2.6%
길 418
 
1.7%
Other values (263) 10529
43.5%
Decimal Number
ValueCountFrequency (%)
1 1174
19.4%
2 923
15.3%
3 686
11.4%
5 619
10.3%
4 492
8.1%
0 466
 
7.7%
7 456
 
7.6%
6 425
 
7.0%
9 423
 
7.0%
8 374
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
37.5%
G 3
37.5%
I 2
25.0%
Space Separator
ValueCountFrequency (%)
7289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Open Punctuation
ValueCountFrequency (%)
( 238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 238
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24216
63.1%
Common 14174
36.9%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1962
 
8.1%
도 1916
 
7.9%
시 1906
 
7.9%
기 1873
 
7.7%
로 1854
 
7.7%
구 1162
 
4.8%
수 1007
 
4.2%
원 955
 
3.9%
남 634
 
2.6%
길 418
 
1.7%
Other values (263) 10529
43.5%
Common
ValueCountFrequency (%)
7289
51.4%
1 1174
 
8.3%
2 923
 
6.5%
3 686
 
4.8%
5 619
 
4.4%
4 492
 
3.5%
0 466
 
3.3%
7 456
 
3.2%
6 425
 
3.0%
9 423
 
3.0%
Other values (5) 1221
 
8.6%
Latin
ValueCountFrequency (%)
L 3
37.5%
G 3
37.5%
I 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24216
63.1%
ASCII 14182
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7289
51.4%
1 1174
 
8.3%
2 923
 
6.5%
3 686
 
4.8%
5 619
 
4.4%
4 492
 
3.5%
0 466
 
3.3%
7 456
 
3.2%
6 425
 
3.0%
9 423
 
3.0%
Other values (8) 1229
 
8.7%
Hangul
ValueCountFrequency (%)
경 1962
 
8.1%
도 1916
 
7.9%
시 1906
 
7.9%
기 1873
 
7.7%
로 1854
 
7.7%
구 1162
 
4.8%
수 1007
 
4.2%
원 955
 
3.9%
남 634
 
2.6%
길 418
 
1.7%
Other values (263) 10529
43.5%

소재지지번주소
Text

Distinct6843
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:16:31.344378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length18.6924
Min length13

Characters and Unicode

Total characters186924
Distinct characters231
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

Unique5428 ?
Unique (%)54.3%

Sample

1st row경기도 의정부시 호원동 440-4
2nd row경기도 남양주시 와부읍 덕소리 516-4
3rd row경기도 수원시 팔달구 인계동 465-2
4th row경기도 남양주시 다산동 6261
5th row경기도 이천시 창전동 175
ValueCountFrequency (%)
경기도 9999
 
22.5%
남양주시 1468
 
3.3%
의정부시 1402
 
3.2%
수원시 1235
 
2.8%
양주시 982
 
2.2%
오산시 836
 
1.9%
포천시 738
 
1.7%
하남시 682
 
1.5%
여주시 652
 
1.5%
권선구 477
 
1.1%
Other values (6038) 25880
58.4%
2024-05-03T19:16:32.184750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35079
18.8%
도 10323
 
5.5%
기 10026
 
5.4%
시 10004
 
5.4%
경 10003
 
5.4%
동 8127
 
4.3%
1 6707
 
3.6%
- 6706
 
3.6%
2 4760
 
2.5%
3 4159
 
2.2%
Other values (221) 81030
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106665
57.1%
Decimal Number 38474
 
20.6%
Space Separator 35079
 
18.8%
Dash Punctuation 6706
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10323
 
9.7%
기 10026
 
9.4%
시 10004
 
9.4%
경 10003
 
9.4%
동 8127
 
7.6%
주 3490
 
3.3%
리 2906
 
2.7%
남 2822
 
2.6%
양 2656
 
2.5%
산 2220
 
2.1%
Other values (209) 44088
41.3%
Decimal Number
ValueCountFrequency (%)
1 6707
17.4%
2 4760
12.4%
3 4159
10.8%
4 4063
10.6%
6 3615
9.4%
5 3500
9.1%
7 3311
8.6%
8 3053
7.9%
9 2811
7.3%
0 2495
 
6.5%
Space Separator
ValueCountFrequency (%)
35079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106665
57.1%
Common 80259
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10323
 
9.7%
기 10026
 
9.4%
시 10004
 
9.4%
경 10003
 
9.4%
동 8127
 
7.6%
주 3490
 
3.3%
리 2906
 
2.7%
남 2822
 
2.6%
양 2656
 
2.5%
산 2220
 
2.1%
Other values (209) 44088
41.3%
Common
ValueCountFrequency (%)
35079
43.7%
1 6707
 
8.4%
- 6706
 
8.4%
2 4760
 
5.9%
3 4159
 
5.2%
4 4063
 
5.1%
6 3615
 
4.5%
5 3500
 
4.4%
7 3311
 
4.1%
8 3053
 
3.8%
Other values (2) 5306
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106665
57.1%
ASCII 80259
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35079
43.7%
1 6707
 
8.4%
- 6706
 
8.4%
2 4760
 
5.9%
3 4159
 
5.2%
4 4063
 
5.1%
6 3615
 
4.5%
5 3500
 
4.4%
7 3311
 
4.1%
8 3053
 
3.8%
Other values (2) 5306
 
6.6%
Hangul
ValueCountFrequency (%)
도 10323
 
9.7%
기 10026
 
9.4%
시 10004
 
9.4%
경 10003
 
9.4%
동 8127
 
7.6%
주 3490
 
3.3%
리 2906
 
2.7%
남 2822
 
2.6%
양 2656
 
2.5%
산 2220
 
2.1%
Other values (209) 44088
41.3%

횡단보도관리번호
Text

Distinct9444
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T19:16:33.023021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length8.4647
Min length1

Characters and Unicode

Total characters84647
Distinct characters247
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9018 ?
Unique (%)90.2%

Sample

1st rowCW-0225-01
2nd row916
3rd row수원-1234
4th row239
5th row472
ValueCountFrequency (%)
1 6
 
0.1%
022.미2사단 4
 
< 0.1%
116.교육청 4
 
< 0.1%
207.에이스사거리 4
 
< 0.1%
449 3
 
< 0.1%
50 3
 
< 0.1%
148 3
 
< 0.1%
488 3
 
< 0.1%
338 3
 
< 0.1%
285 3
 
< 0.1%
Other values (9435) 9983
99.6%
2024-05-03T19:16:34.144559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14812
17.5%
1 11604
13.7%
- 10656
12.6%
2 6287
 
7.4%
3 5934
 
7.0%
C 4093
 
4.8%
W 4085
 
4.8%
6 3696
 
4.4%
7 3383
 
4.0%
8 3283
 
3.9%
Other values (237) 16814
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57329
67.7%
Dash Punctuation 10656
 
12.6%
Uppercase Letter 9033
 
10.7%
Other Letter 6755
 
8.0%
Connector Punctuation 439
 
0.5%
Other Punctuation 390
 
0.5%
Space Separator 19
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1337
19.8%
수 1324
19.6%
주 683
 
10.1%
여 657
 
9.7%
분 245
 
3.6%
당 245
 
3.6%
정 102
 
1.5%
리 99
 
1.5%
사 97
 
1.4%
거 95
 
1.4%
Other values (209) 1871
27.7%
Decimal Number
ValueCountFrequency (%)
0 14812
25.8%
1 11604
20.2%
2 6287
11.0%
3 5934
10.4%
6 3696
 
6.4%
7 3383
 
5.9%
8 3283
 
5.7%
4 2945
 
5.1%
5 2765
 
4.8%
9 2620
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 4093
45.3%
W 4085
45.2%
A 841
 
9.3%
T 5
 
0.1%
P 5
 
0.1%
D 3
 
< 0.1%
U 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 386
99.0%
& 2
 
0.5%
; 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
m 2
33.3%
p 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 10656
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 439
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68853
81.3%
Latin 9039
 
10.7%
Hangul 6755
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1337
19.8%
수 1324
19.6%
주 683
 
10.1%
여 657
 
9.7%
분 245
 
3.6%
당 245
 
3.6%
정 102
 
1.5%
리 99
 
1.5%
사 97
 
1.4%
거 95
 
1.4%
Other values (209) 1871
27.7%
Common
ValueCountFrequency (%)
0 14812
21.5%
1 11604
16.9%
- 10656
15.5%
2 6287
9.1%
3 5934
8.6%
6 3696
 
5.4%
7 3383
 
4.9%
8 3283
 
4.8%
4 2945
 
4.3%
5 2765
 
4.0%
Other values (8) 3488
 
5.1%
Latin
ValueCountFrequency (%)
C 4093
45.3%
W 4085
45.2%
A 841
 
9.3%
T 5
 
0.1%
P 5
 
0.1%
D 3
 
< 0.1%
a 2
 
< 0.1%
m 2
 
< 0.1%
p 2
 
< 0.1%
U 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77892
92.0%
Hangul 6755
 
8.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14812
19.0%
1 11604
14.9%
- 10656
13.7%
2 6287
8.1%
3 5934
7.6%
C 4093
 
5.3%
W 4085
 
5.2%
6 3696
 
4.7%
7 3383
 
4.3%
8 3283
 
4.2%
Other values (18) 10059
12.9%
Hangul
ValueCountFrequency (%)
원 1337
19.8%
수 1324
19.6%
주 683
 
10.1%
여 657
 
9.7%
분 245
 
3.6%
당 245
 
3.6%
정 102
 
1.5%
리 99
 
1.5%
사 97
 
1.4%
거 95
 
1.4%
Other values (209) 1871
27.7%

횡단보도종류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8312 
4
1355 
2
 
174
3
 
126
99
 
33

Length

Max length2
Median length1
Mean length1.0033
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 8312
83.1%
4 1355
 
13.6%
2 174
 
1.7%
3 126
 
1.3%
99 33
 
0.3%

Length

2024-05-03T19:16:34.406322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:16:34.649898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8312
83.1%
4 1355
 
13.6%
2 174
 
1.7%
3 126
 
1.3%
99 33
 
0.3%

자전거횡단도겸용여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2787
Missing (%)27.9%
Memory size97.7 KiB
False
6313 
True
900 
(Missing)
2787 
ValueCountFrequency (%)
False 6313
63.1%
True 900
 
9.0%
(Missing) 2787
27.9%
2024-05-03T19:16:34.958482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고원식적용여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9388 
True
 
612
ValueCountFrequency (%)
False 9388
93.9%
True 612
 
6.1%
2024-05-03T19:16:35.240336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct8059
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.561932
Minimum37.05629
Maximum38.128847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:35.582570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.05629
5-th percentile37.158913
Q137.29539
median37.613139
Q337.752013
95-th percentile37.898167
Maximum38.128847
Range1.0725573
Interquartile range (IQR)0.45662361

Descriptive statistics

Standard deviation0.24611232
Coefficient of variation (CV)0.0065521741
Kurtosis-1.220054
Mean37.561932
Median Absolute Deviation (MAD)0.18851418
Skewness-0.25522599
Sum375619.32
Variance0.060571274
MonotonicityNot monotonic
2024-05-03T19:16:36.000607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.73924561 27
 
0.3%
37.74288248 17
 
0.2%
37.75020266 16
 
0.2%
37.27757901 16
 
0.2%
37.15895665 15
 
0.1%
37.28463415 14
 
0.1%
37.4826017263 14
 
0.1%
37.8886654 14
 
0.1%
37.14560421 14
 
0.1%
37.4637408848 13
 
0.1%
Other values (8049) 9840
98.4%
ValueCountFrequency (%)
37.05629022 1
< 0.1%
37.05717698 1
< 0.1%
37.05940975 1
< 0.1%
37.06403556 1
< 0.1%
37.11371469 1
< 0.1%
37.11438501 1
< 0.1%
37.1144137 1
< 0.1%
37.11501586 1
< 0.1%
37.11502612 1
< 0.1%
37.11504303 1
< 0.1%
ValueCountFrequency (%)
38.1288475 1
< 0.1%
38.1217259 1
< 0.1%
38.121547 1
< 0.1%
38.1213183 1
< 0.1%
38.1155664 1
< 0.1%
38.1154425 1
< 0.1%
38.1133534 1
< 0.1%
38.1133492 1
< 0.1%
38.113045 1
< 0.1%
38.1104335 1
< 0.1%

경도
Real number (ℝ)

Distinct8117
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.134
Minimum126.71776
Maximum127.75698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:36.463191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71776
5-th percentile126.87178
Q1127.0432
median127.09005
Q3127.19349
95-th percentile127.55418
Maximum127.75698
Range1.0392213
Interquartile range (IQR)0.15028953

Descriptive statistics

Standard deviation0.17931433
Coefficient of variation (CV)0.0014104357
Kurtosis1.796779
Mean127.134
Median Absolute Deviation (MAD)0.0716119
Skewness1.0701138
Sum1271340
Variance0.03215363
MonotonicityNot monotonic
2024-05-03T19:16:36.912957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0475838 27
 
0.3%
127.441596 17
 
0.2%
127.0611432 17
 
0.2%
127.0378433 16
 
0.2%
127.0595632 15
 
0.1%
127.4439125 14
 
0.1%
127.0531922 14
 
0.1%
127.073524 13
 
0.1%
127.0517536 13
 
0.1%
126.8658040165 13
 
0.1%
Other values (8107) 9841
98.4%
ValueCountFrequency (%)
126.7177597 1
 
< 0.1%
126.7195884 1
 
< 0.1%
126.7217544 1
 
< 0.1%
126.7308015 1
 
< 0.1%
126.7315176 2
 
< 0.1%
126.7315364 2
 
< 0.1%
126.731651309 7
0.1%
126.7336305 1
 
< 0.1%
126.7336355 1
 
< 0.1%
126.7337662 1
 
< 0.1%
ValueCountFrequency (%)
127.756981 1
< 0.1%
127.7499211 1
< 0.1%
127.7467936 1
< 0.1%
127.7460769 1
< 0.1%
127.7403345 1
< 0.1%
127.7313756 1
< 0.1%
127.731276 1
< 0.1%
127.7266467 1
< 0.1%
127.7191696 1
< 0.1%
127.7167105 1
< 0.1%

차로수
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3481
Minimum0
Maximum15
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:37.323921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0800382
Coefficient of variation (CV)0.62125929
Kurtosis0.77613935
Mean3.3481
Median Absolute Deviation (MAD)1
Skewness1.0157877
Sum33481
Variance4.326559
MonotonicityNot monotonic
2024-05-03T19:16:37.560927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 3107
31.1%
1 1736
17.4%
4 1726
17.3%
5 942
 
9.4%
3 904
 
9.0%
6 678
 
6.8%
7 460
 
4.6%
8 228
 
2.3%
9 142
 
1.4%
10 50
 
0.5%
Other values (5) 27
 
0.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1736
17.4%
2 3107
31.1%
3 904
 
9.0%
4 1726
17.3%
5 942
 
9.4%
6 678
 
6.8%
7 460
 
4.6%
8 228
 
2.3%
9 142
 
1.4%
ValueCountFrequency (%)
15 2
 
< 0.1%
13 7
 
0.1%
12 7
 
0.1%
11 10
 
0.1%
10 50
 
0.5%
9 142
 
1.4%
8 228
 
2.3%
7 460
4.6%
6 678
6.8%
5 942
9.4%

횡단보도폭
Real number (ℝ)

SKEWED 

Distinct178
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.465261
Minimum1
Maximum839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:37.831914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5.8
Q36.5
95-th percentile8.5
Maximum839
Range838
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation8.6310792
Coefficient of variation (CV)1.579262
Kurtosis8702.014
Mean5.465261
Median Absolute Deviation (MAD)1.8
Skewness90.183249
Sum54652.61
Variance74.495528
MonotonicityNot monotonic
2024-05-03T19:16:38.215358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 1422
 
14.2%
4.0 1316
 
13.2%
8.0 716
 
7.2%
3.0 603
 
6.0%
2.0 323
 
3.2%
6.5 310
 
3.1%
6.1 274
 
2.7%
4.1 208
 
2.1%
5.0 189
 
1.9%
6.3 181
 
1.8%
Other values (168) 4458
44.6%
ValueCountFrequency (%)
1.0 11
 
0.1%
1.2 4
 
< 0.1%
1.3 5
 
0.1%
1.4 7
 
0.1%
1.5 78
 
0.8%
1.6 15
 
0.1%
1.7 14
 
0.1%
1.8 23
 
0.2%
1.9 29
 
0.3%
2.0 323
3.2%
ValueCountFrequency (%)
839.0 1
< 0.1%
77.0 1
< 0.1%
55.3 1
< 0.1%
40.0 1
< 0.1%
23.7 1
< 0.1%
23.2 1
< 0.1%
23.0 1
< 0.1%
18.0 1
< 0.1%
16.5 1
< 0.1%
16.0 1
< 0.1%

횡단보도연장
Real number (ℝ)

Distinct469
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.648904
Minimum1.5
Maximum105.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:38.571720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile5
Q17.6
median11.8
Q317.725
95-th percentile28.6
Maximum105.3
Range103.8
Interquartile range (IQR)10.125

Descriptive statistics

Standard deviation7.9658362
Coefficient of variation (CV)0.5836246
Kurtosis8.2047261
Mean13.648904
Median Absolute Deviation (MAD)4.7
Skewness1.8244127
Sum136489.04
Variance63.454546
MonotonicityNot monotonic
2024-05-03T19:16:39.034501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 359
 
3.6%
8.0 305
 
3.0%
7.0 301
 
3.0%
9.0 257
 
2.6%
14.0 252
 
2.5%
5.0 230
 
2.3%
10.0 223
 
2.2%
15.0 210
 
2.1%
20.0 188
 
1.9%
12.0 184
 
1.8%
Other values (459) 7491
74.9%
ValueCountFrequency (%)
1.5 1
 
< 0.1%
1.6 1
 
< 0.1%
1.7 1
 
< 0.1%
1.9 1
 
< 0.1%
2.0 5
0.1%
2.3 1
 
< 0.1%
2.5 10
0.1%
2.65 1
 
< 0.1%
2.7 1
 
< 0.1%
2.8 1
 
< 0.1%
ValueCountFrequency (%)
105.3 1
< 0.1%
105.1 1
< 0.1%
99.2 1
< 0.1%
85.0 1
< 0.1%
79.5 1
< 0.1%
66.4 1
< 0.1%
60.4 1
< 0.1%
60.1 1
< 0.1%
59.4 1
< 0.1%
58.7 1
< 0.1%

보행자신호등유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
5529 
False
4471 
ValueCountFrequency (%)
True 5529
55.3%
False 4471
44.7%
2024-05-03T19:16:39.407307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보행자작동신호기유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2813
Missing (%)28.1%
Memory size97.7 KiB
False
6472 
True
715 
(Missing)
2813 
ValueCountFrequency (%)
False 6472
64.7%
True 715
 
7.1%
(Missing) 2813
28.1%
2024-05-03T19:16:39.752391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음향신호기설치여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2816
Missing (%)28.2%
Memory size97.7 KiB
False
5224 
True
1960 
(Missing)
2816 
ValueCountFrequency (%)
False 5224
52.2%
True 1960
 
19.6%
(Missing) 2816
28.2%
2024-05-03T19:16:40.032225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

녹색신호시간
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)1.0%
Missing4774
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean13.88385
Minimum0
Maximum130
Zeros2383
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:40.358399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q325
95-th percentile35
Maximum130
Range130
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.111697
Coefficient of variation (CV)1.016411
Kurtosis0.86770533
Mean13.88385
Median Absolute Deviation (MAD)16
Skewness0.61268999
Sum72557
Variance199.14
MonotonicityNot monotonic
2024-05-03T19:16:40.794047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2383
23.8%
20 239
 
2.4%
25 193
 
1.9%
30 172
 
1.7%
22 160
 
1.6%
27 156
 
1.6%
21 126
 
1.3%
19 122
 
1.2%
24 120
 
1.2%
26 118
 
1.2%
Other values (42) 1437
 
14.4%
(Missing) 4774
47.7%
ValueCountFrequency (%)
0 2383
23.8%
10 2
 
< 0.1%
11 1
 
< 0.1%
12 32
 
0.3%
13 29
 
0.3%
14 71
 
0.7%
15 85
 
0.9%
16 69
 
0.7%
17 100
 
1.0%
18 102
 
1.0%
ValueCountFrequency (%)
130 1
 
< 0.1%
115 1
 
< 0.1%
99 2
< 0.1%
84 2
< 0.1%
78 1
 
< 0.1%
70 3
< 0.1%
62 2
< 0.1%
61 1
 
< 0.1%
60 1
 
< 0.1%
53 2
< 0.1%

적색신호시간
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct176
Distinct (%)3.4%
Missing4836
Missing (%)48.4%
Infinite0
Infinite (%)0.0%
Mean63.328176
Minimum0
Maximum9999
Zeros2384
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T19:16:41.165510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62
Q3104
95-th percentile147
Maximum9999
Range9999
Interquartile range (IQR)104

Descriptive statistics

Standard deviation246.2958
Coefficient of variation (CV)3.8891978
Kurtosis1537.5842
Mean63.328176
Median Absolute Deviation (MAD)62
Skewness38.158799
Sum327026.7
Variance60661.623
MonotonicityNot monotonic
2024-05-03T19:16:41.451182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2384
23.8%
96.0 383
 
3.8%
98.0 341
 
3.4%
100.0 129
 
1.3%
147.0 113
 
1.1%
120.0 93
 
0.9%
115.0 53
 
0.5%
130.0 52
 
0.5%
123.0 49
 
0.5%
110.0 46
 
0.5%
Other values (166) 1521
 
15.2%
(Missing) 4836
48.4%
ValueCountFrequency (%)
0.0 2384
23.8%
1.0 2
 
< 0.1%
2.0 1
 
< 0.1%
9.0 1
 
< 0.1%
11.7 1
 
< 0.1%
12.0 2
 
< 0.1%
13.0 1
 
< 0.1%
18.0 1
 
< 0.1%
19.0 1
 
< 0.1%
20.0 2
 
< 0.1%
ValueCountFrequency (%)
9999.0 3
< 0.1%
230.0 1
 
< 0.1%
224.0 1
 
< 0.1%
223.0 2
< 0.1%
218.0 1
 
< 0.1%
215.0 1
 
< 0.1%
214.0 1
 
< 0.1%
212.0 1
 
< 0.1%
209.0 1
 
< 0.1%
205.0 1
 
< 0.1%

교통섬유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8565 
True
1435 
ValueCountFrequency (%)
False 8565
85.7%
True 1435
 
14.3%
2024-05-03T19:16:41.656226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

보도턱낮춤여부
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2109
Missing (%)21.1%
Memory size97.7 KiB
True
6960 
False
931 
(Missing)
2109 
ValueCountFrequency (%)
True 6960
69.6%
False 931
 
9.3%
(Missing) 2109
 
21.1%
2024-05-03T19:16:41.817754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

점자블록유무
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
7665 
False
2335 
ValueCountFrequency (%)
True 7665
76.6%
False 2335
 
23.4%
2024-05-03T19:16:41.978990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

집중조명시설유무
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2565
Missing (%)25.7%
Memory size97.7 KiB
False
5246 
True
2189 
(Missing)
2565 
ValueCountFrequency (%)
False 5246
52.5%
True 2189
21.9%
(Missing) 2565
25.7%
2024-05-03T19:16:42.197002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리기관명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 남양주시청
1468 
경기도 의정부시청
1402 
경기도 수원시
1238 
경기도 양주시청
982 
경기도 오산시청
836 
Other values (10)
4074 

Length

Max length15
Median length8
Mean length8.5204
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 의정부시청
2nd row경기도 남양주시청
3rd row경기도 수원시
4th row경기도 남양주시청
5th row경기도 이천시청

Common Values

ValueCountFrequency (%)
경기도 남양주시청 1468
14.7%
경기도 의정부시청 1402
14.0%
경기도 수원시 1238
12.4%
경기도 양주시청 982
9.8%
경기도 오산시청 836
8.4%
경기도 포천시청 738
7.4%
경기도 하남시청 682
6.8%
경기도 여주시청 655
6.6%
경기도 성남시청 402
 
4.0%
경기도 동두천시청 교통행정과 387
 
3.9%
Other values (5) 1210
12.1%

Length

2024-05-03T19:16:42.507075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9996
48.6%
남양주시청 1468
 
7.1%
의정부시청 1402
 
6.8%
수원시 1238
 
6.0%
양주시청 982
 
4.8%
오산시청 836
 
4.1%
포천시청 738
 
3.6%
하남시청 682
 
3.3%
여주시청 655
 
3.2%
성남시청 402
 
2.0%
Other values (8) 2159
 
10.5%

관리기관전화번호
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-590-2114
1468 
031-828-4844
1401 
031-228-3294
1238 
031-8082-5351
982 
031-8036-6799
836 
Other values (13)
4075 

Length

Max length13
Median length12
Mean length12.1822
Min length12

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row031-828-4844
2nd row031-590-2114
3rd row031-228-3294
4th row031-590-2114
5th row031-644-2382

Common Values

ValueCountFrequency (%)
031-590-2114 1468
14.7%
031-828-4844 1401
14.0%
031-228-3294 1238
12.4%
031-8082-5351 982
9.8%
031-8036-6799 836
8.4%
031-538-2114 738
7.4%
031-790-6114 682
6.8%
031-887-2456 655
6.6%
031-860-2444 387
 
3.9%
031-644-2382 384
 
3.8%
Other values (8) 1229
12.3%

Length

2024-05-03T19:16:42.858705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
031-590-2114 1468
14.7%
031-828-4844 1401
14.0%
031-228-3294 1238
12.4%
031-8082-5351 982
9.8%
031-8036-6799 836
8.4%
031-538-2114 738
7.4%
031-790-6114 682
6.8%
031-887-2456 655
6.6%
031-860-2444 387
 
3.9%
031-644-2382 384
 
3.8%
Other values (8) 1229
12.3%

데이터기준일자
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-05
1468 
2023-02-27
1402 
2023-11-07
1238 
2023-06-08
982 
2023-10-10
836 
Other values (10)
4074 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-27
2nd row2023-12-05
3rd row2023-11-07
4th row2023-12-05
5th row2023-10-20

Common Values

ValueCountFrequency (%)
2023-12-05 1468
14.7%
2023-02-27 1402
14.0%
2023-11-07 1238
12.4%
2023-06-08 982
9.8%
2023-10-10 836
8.4%
2023-12-04 738
7.4%
2022-12-12 682
6.8%
2023-11-15 655
6.6%
2023-10-17 402
 
4.0%
2023-09-22 387
 
3.9%
Other values (5) 1210
12.1%

Length

2024-05-03T19:16:43.174319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-05 1468
14.7%
2023-02-27 1402
14.0%
2023-11-07 1238
12.4%
2023-06-08 982
9.8%
2023-10-10 836
8.4%
2023-12-04 738
7.4%
2022-12-12 682
6.8%
2023-11-15 655
6.6%
2023-10-17 402
 
4.0%
2023-09-22 387
 
3.9%
Other values (5) 1210
12.1%

Sample

시도명시군구명도로명소재지도로명주소소재지지번주소횡단보도관리번호횡단보도종류자전거횡단도겸용여부고원식적용여부위도경도차로수횡단보도폭횡단보도연장보행자신호등유무보행자작동신호기유무음향신호기설치여부녹색신호시간적색신호시간교통섬유무보도턱낮춤여부점자블록유무집중조명시설유무관리기관명관리기관전화번호데이터기준일자
11542경기도의정부시평화로경기도 의정부시 평화로 355-2경기도 의정부시 호원동 440-4CW-0225-011YN37.72368127.04802356.516.0YNY2352.0NYYY경기도 의정부시청031-828-48442023-02-27
8072경기도남양주시덕소로<NA>경기도 남양주시 와부읍 덕소리 516-49164NN37.585014127.21005624.37.0NNN<NA><NA>NYYN경기도 남양주시청031-590-21142023-12-05
14917경기도수원시청인계로경기도 수원시 팔달구 인계로 143경기도 수원시 팔달구 인계동 465-2수원-12341<NA>N37.267224127.03354277.727.3Y<NA><NA><NA><NA>N<NA>Y<NA>경기도 수원시031-228-32942023-11-07
8456경기도남양주시다산중앙로<NA>경기도 남양주시 다산동 62612391YN37.627278127.14984778.022.4YYY29147.0NYYN경기도 남양주시청031-590-21142023-12-05
14447경기도이천시애련정로<NA>경기도 이천시 창전동 1754721NN37.278417127.44743134.09.2NNN<NA><NA>NYNN경기도 이천시청031-644-23822023-10-20
6128경기도남양주시경춘로<NA>경기도 남양주시 화도읍 200-1222751<NA>N37.658981127.35110648.215.0Y<NA><NA><NA><NA>N<NA>N<NA>경기도 남양주시청031-590-21142023-12-05
7974경기도의정부시배꽃길<NA>경기도 의정부시 민락동 73CW-1855-011NY37.74716127.1204924.06.0NNN00.0NYYN경기도 의정부시청031-828-48442023-02-27
3749경기도남양주시독정로231번길<NA>경기도 남양주시 진건읍 용정리 142-412431NN37.678543127.19015625.015.5NNN<NA><NA>YYYN경기도 남양주시청031-590-21142023-12-05
1616경기도이천시구만리로<NA>경기도 이천시 진리동 430-13611YN37.273317127.45335466.020.2YNN<NA><NA>YYYN경기도 이천시청031-644-23822023-10-20
15741경기도양주시삼숭로38번길<NA>경기도 양주시 삼숭동 687-131260-CW-012021NY37.7962127.10724426.013.6YNN3555.0NYNY경기도 양주시청031-8082-53512023-06-08
시도명시군구명도로명소재지도로명주소소재지지번주소횡단보도관리번호횡단보도종류자전거횡단도겸용여부고원식적용여부위도경도차로수횡단보도폭횡단보도연장보행자신호등유무보행자작동신호기유무음향신호기설치여부녹색신호시간적색신호시간교통섬유무보도턱낮춤여부점자블록유무집중조명시설유무관리기관명관리기관전화번호데이터기준일자
5222경기도의정부시본원로<NA>경기도 의정부시 녹양동 415-2CW-1169-011NN37.762679127.03976656.017.0YNN30120.0NYYN경기도 의정부시청031-828-48442023-02-27
5739경기도양주시만송로<NA>경기도 양주시 만송동 591-831260-CW-012341NN37.782862127.08391123.06.2NNN00.0NYNN경기도 양주시청031-8082-53512023-06-08
14026경기도의정부시의정로경기도 의정부시 의정로 69경기도 의정부시 의정부동 617CW-0014-011NN37.739208127.03486478.023.5YYN31109.0NYYY경기도 의정부시청031-828-48442023-02-27
4613경기도파주시명동길<NA>경기도 파주시 금촌동 329-1372221NN37.76352126.77089723.69.1YNN14134.0NYYN경기도 파주시청031-940-57962023-10-19
2022경기도수원시청수일로경기도 수원시 장안구 수일로 185경기도 수원시 장안구 조원동 872수원-05832<NA>N37.308467127.01016556.215.3Y<NA><NA><NA><NA>N<NA>Y<NA>경기도 수원시031-228-32942023-11-07
7810경기도의정부시문충로<NA>경기도 의정부시 고산동 219-2CW-0606-011YN37.744283127.11658188.525.5YNN3297.0NYYY경기도 의정부시청031-828-48442023-02-27
16532경기도포천시청군로경기도 포천시 군내면 청군로 3426경기도 포천시 군내면 구읍리 733-2531270-CW-010514NN37.894971127.20450835.010.0YNY20160.0YYYY경기도 포천시청031-538-21142023-12-04
1305경기도구리시장자대로86번길<NA>경기도 구리시 수택동 878-131120-CW-000481NN37.587395127.14083813.37.0NNN00.0NYNN경기도 구리시청031-557-10102023-06-12
5187경기도성남시분당구대왕판교로<NA>경기도 성남시 분당구 판교동 583분당-3874<NA>N37.388421127.101626108.032.0Y<NA><NA><NA><NA>YYYY경기도 성남시청031-729-36742023-10-17
10035경기도하남시위례중앙로<NA>경기도 하남시 학암동 676-331180-CW-010051YN37.473692127.15424858.020.0YNY2980.0NYYY경기도 하남시청031-790-61142022-12-12