Overview

Dataset statistics

Number of variables30
Number of observations1355
Missing cells7716
Missing cells (%)19.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory333.6 KiB
Average record size in memory252.1 B

Variable types

Text7
Categorical7
Numeric12
Boolean1
DateTime3

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/15025444/standard.do

Alerts

부대시설종류 is highly imbalanced (60.7%)Imbalance
안전등급 is highly imbalanced (52.5%)Imbalance
사용제한구분 is highly imbalanced (95.6%)Imbalance
최종안전점검유형 is highly imbalanced (94.6%)Imbalance
도로노선번호 has 665 (49.1%) missing valuesMissing
육교연장 has 78 (5.8%) missing valuesMissing
육교높이 has 493 (36.4%) missing valuesMissing
허용통행하중 has 1145 (84.5%) missing valuesMissing
육교폭 has 138 (10.2%) missing valuesMissing
난간높이 has 793 (58.5%) missing valuesMissing
조명개수 has 1005 (74.2%) missing valuesMissing
장애인편의시설수량 has 796 (58.7%) missing valuesMissing
부대시설수량 has 1018 (75.1%) missing valuesMissing
육교준공일자 has 480 (35.4%) missing valuesMissing
육교보수보강내역 has 1104 (81.5%) missing valuesMissing
육교폭 is highly skewed (γ1 = 34.84161266)Skewed
육교높이 has 33 (2.4%) zerosZeros
허용통행하중 has 69 (5.1%) zerosZeros
통행제한높이 has 35 (2.6%) zerosZeros
난간높이 has 47 (3.5%) zerosZeros
조명개수 has 92 (6.8%) zerosZeros
장애인편의시설수량 has 113 (8.3%) zerosZeros
부대시설수량 has 185 (13.7%) zerosZeros

Reproduction

Analysis started2024-05-18 09:07:02.846078
Analysis finished2024-05-18 09:07:05.682932
Duration2.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

육교명
Text

Distinct1222
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-18T18:07:06.175508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length6.8309963
Min length2

Characters and Unicode

Total characters9256
Distinct characters425
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

Unique1095 ?
Unique (%)80.8%

Sample

1st row갈현보도육교
2nd row다모아보도육교
3rd row갑천1보도육교
4th row갑천2보도육교
5th row누리보도육교
ValueCountFrequency (%)
보도육교 157
 
8.4%
육교 115
 
6.2%
앞 104
 
5.6%
옆 6
 
0.3%
2육교 6
 
0.3%
청북지구 6
 
0.3%
풍덕천 6
 
0.3%
1육교 6
 
0.3%
보도육교(1 5
 
0.3%
보도육교(2 5
 
0.3%
Other values (1265) 1444
77.6%
2024-05-18T18:07:07.332140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 1432
 
15.5%
육 1233
 
13.3%
도 540
 
5.8%
505
 
5.5%
보 503
 
5.4%
앞 197
 
2.1%
초 129
 
1.4%
동 123
 
1.3%
리 89
 
1.0%
1 84
 
0.9%
Other values (415) 4421
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8286
89.5%
Space Separator 505
 
5.5%
Decimal Number 247
 
2.7%
Close Punctuation 66
 
0.7%
Open Punctuation 66
 
0.7%
Uppercase Letter 64
 
0.7%
Dash Punctuation 11
 
0.1%
Other Punctuation 5
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 1432
 
17.3%
육 1233
 
14.9%
도 540
 
6.5%
보 503
 
6.1%
앞 197
 
2.4%
초 129
 
1.6%
동 123
 
1.5%
리 89
 
1.1%
산 83
 
1.0%
신 82
 
1.0%
Other values (382) 3875
46.8%
Uppercase Letter
ValueCountFrequency (%)
T 13
20.3%
P 10
15.6%
C 9
14.1%
A 7
10.9%
E 5
 
7.8%
I 5
 
7.8%
Y 4
 
6.2%
G 3
 
4.7%
O 2
 
3.1%
L 2
 
3.1%
Other values (4) 4
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 84
34.0%
2 83
33.6%
3 28
 
11.3%
4 18
 
7.3%
5 10
 
4.0%
6 8
 
3.2%
0 5
 
2.0%
8 4
 
1.6%
9 4
 
1.6%
7 3
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
k 3
75.0%
s 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
505
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8286
89.5%
Common 902
 
9.7%
Latin 68
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 1432
 
17.3%
육 1233
 
14.9%
도 540
 
6.5%
보 503
 
6.1%
앞 197
 
2.4%
초 129
 
1.6%
동 123
 
1.5%
리 89
 
1.1%
산 83
 
1.0%
신 82
 
1.0%
Other values (382) 3875
46.8%
Common
ValueCountFrequency (%)
505
56.0%
1 84
 
9.3%
2 83
 
9.2%
) 66
 
7.3%
( 66
 
7.3%
3 28
 
3.1%
4 18
 
2.0%
- 11
 
1.2%
5 10
 
1.1%
6 8
 
0.9%
Other values (7) 23
 
2.5%
Latin
ValueCountFrequency (%)
T 13
19.1%
P 10
14.7%
C 9
13.2%
A 7
10.3%
E 5
 
7.4%
I 5
 
7.4%
Y 4
 
5.9%
k 3
 
4.4%
G 3
 
4.4%
O 2
 
2.9%
Other values (6) 7
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8286
89.5%
ASCII 970
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 1432
 
17.3%
육 1233
 
14.9%
도 540
 
6.5%
보 503
 
6.1%
앞 197
 
2.4%
초 129
 
1.6%
동 123
 
1.5%
리 89
 
1.1%
산 83
 
1.0%
신 82
 
1.0%
Other values (382) 3875
46.8%
ASCII
ValueCountFrequency (%)
505
52.1%
1 84
 
8.7%
2 83
 
8.6%
) 66
 
6.8%
( 66
 
6.8%
3 28
 
2.9%
4 18
 
1.9%
T 13
 
1.3%
- 11
 
1.1%
P 10
 
1.0%
Other values (23) 86
 
8.9%

도로종류
Categorical

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
시도
688 
기타
241 
일반국도
174 
구도
126 
지방도
 
61
Other values (4)
 
65

Length

Max length7
Median length2
Mean length2.3845018
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
시도 688
50.8%
기타 241
 
17.8%
일반국도 174
 
12.8%
구도 126
 
9.3%
지방도 61
 
4.5%
특별시도 50
 
3.7%
군도 12
 
0.9%
국가지원지방도 2
 
0.1%
고속국도 1
 
0.1%

Length

2024-05-18T18:07:07.951574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:07:08.442445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 688
50.8%
기타 241
 
17.8%
일반국도 174
 
12.8%
구도 126
 
9.3%
지방도 61
 
4.5%
특별시도 50
 
3.7%
군도 12
 
0.9%
국가지원지방도 2
 
0.1%
고속국도 1
 
0.1%

도로노선번호
Text

MISSING 

Distinct286
Distinct (%)41.4%
Missing665
Missing (%)49.1%
Memory size10.7 KiB
2024-05-18T18:07:09.274311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length3.9985507
Min length1

Characters and Unicode

Total characters2759
Distinct characters65
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

Unique148 ?
Unique (%)21.4%

Sample

1st row2-61
2nd row4
3rd row57
4th row4
5th row대로 2-0
ValueCountFrequency (%)
1번 36
 
5.0%
23번 21
 
2.9%
해당없음 20
 
2.8%
없음 19
 
2.7%
국도1호선 18
 
2.5%
대로 11
 
1.5%
71번 10
 
1.4%
3219073번 8
 
1.1%
25 8
 
1.1%
514호선 7
 
1.0%
Other values (285) 558
77.9%
2024-05-18T18:07:10.428452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 341
12.4%
2 240
 
8.7%
번 237
 
8.6%
3 232
 
8.4%
호 184
 
6.7%
선 164
 
5.9%
- 160
 
5.8%
로 119
 
4.3%
5 117
 
4.2%
7 116
 
4.2%
Other values (55) 849
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1401
50.8%
Other Letter 1156
41.9%
Dash Punctuation 160
 
5.8%
Space Separator 26
 
0.9%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 237
20.5%
호 184
15.9%
선 164
14.2%
로 119
10.3%
대 80
 
6.9%
도 55
 
4.8%
없 39
 
3.4%
음 39
 
3.4%
국 33
 
2.9%
광 33
 
2.9%
Other values (41) 173
15.0%
Decimal Number
ValueCountFrequency (%)
1 341
24.3%
2 240
17.1%
3 232
16.6%
5 117
 
8.4%
7 116
 
8.3%
4 92
 
6.6%
0 88
 
6.3%
9 73
 
5.2%
8 57
 
4.1%
6 45
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1603
58.1%
Hangul 1156
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 237
20.5%
호 184
15.9%
선 164
14.2%
로 119
10.3%
대 80
 
6.9%
도 55
 
4.8%
없 39
 
3.4%
음 39
 
3.4%
국 33
 
2.9%
광 33
 
2.9%
Other values (41) 173
15.0%
Common
ValueCountFrequency (%)
1 341
21.3%
2 240
15.0%
3 232
14.5%
- 160
10.0%
5 117
 
7.3%
7 116
 
7.2%
4 92
 
5.7%
0 88
 
5.5%
9 73
 
4.6%
8 57
 
3.6%
Other values (4) 87
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1603
58.1%
Hangul 1156
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 341
21.3%
2 240
15.0%
3 232
14.5%
- 160
10.0%
5 117
 
7.3%
7 116
 
7.2%
4 92
 
5.7%
0 88
 
5.5%
9 73
 
4.6%
8 57
 
3.6%
Other values (4) 87
 
5.4%
Hangul
ValueCountFrequency (%)
번 237
20.5%
호 184
15.9%
선 164
14.2%
로 119
10.3%
대 80
 
6.9%
도 55
 
4.8%
없 39
 
3.4%
음 39
 
3.4%
국 33
 
2.9%
광 33
 
2.9%
Other values (41) 173
15.0%

도로노선명
Text

Distinct712
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-18T18:07:11.248040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length3.9195572
Min length2

Characters and Unicode

Total characters5311
Distinct characters320
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique408 ?
Unique (%)30.1%

Sample

1st row드림로
2nd row갑천도시고속도로
3rd row갑천도시고속도로
4th row한밭대로
5th row한밭대로
ValueCountFrequency (%)
호남선 29
 
2.1%
경충대로 16
 
1.2%
한밭대로 14
 
1.0%
경기대로 11
 
0.8%
천안대로 11
 
0.8%
중앙로 11
 
0.8%
남부순환로 11
 
0.8%
경수대로 9
 
0.7%
인천대로 8
 
0.6%
덕영대로 8
 
0.6%
Other values (709) 1245
90.7%
2024-05-18T18:07:12.703674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1224
 
23.0%
대 337
 
6.3%
길 99
 
1.9%
남 90
 
1.7%
천 89
 
1.7%
동 79
 
1.5%
선 76
 
1.4%
경 75
 
1.4%
안 75
 
1.4%
도 74
 
1.4%
Other values (310) 3093
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5092
95.9%
Decimal Number 171
 
3.2%
Space Separator 18
 
0.3%
Math Symbol 14
 
0.3%
Dash Punctuation 6
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1224
24.0%
대 337
 
6.6%
길 99
 
1.9%
남 90
 
1.8%
천 89
 
1.7%
동 79
 
1.6%
선 76
 
1.5%
경 75
 
1.5%
안 75
 
1.5%
도 74
 
1.5%
Other values (292) 2874
56.4%
Decimal Number
ValueCountFrequency (%)
1 46
26.9%
3 33
19.3%
4 25
14.6%
2 22
12.9%
5 13
 
7.6%
7 11
 
6.4%
6 10
 
5.8%
0 6
 
3.5%
9 3
 
1.8%
8 2
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 11
78.6%
+ 3
 
21.4%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5092
95.9%
Common 219
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1224
24.0%
대 337
 
6.6%
길 99
 
1.9%
남 90
 
1.8%
천 89
 
1.7%
동 79
 
1.6%
선 76
 
1.5%
경 75
 
1.5%
안 75
 
1.5%
도 74
 
1.5%
Other values (292) 2874
56.4%
Common
ValueCountFrequency (%)
1 46
21.0%
3 33
15.1%
4 25
11.4%
2 22
10.0%
18
 
8.2%
5 13
 
5.9%
~ 11
 
5.0%
7 11
 
5.0%
6 10
 
4.6%
- 6
 
2.7%
Other values (8) 24
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5092
95.9%
ASCII 219
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1224
24.0%
대 337
 
6.6%
길 99
 
1.9%
남 90
 
1.8%
천 89
 
1.7%
동 79
 
1.6%
선 76
 
1.5%
경 75
 
1.5%
안 75
 
1.5%
도 74
 
1.5%
Other values (292) 2874
56.4%
ASCII
ValueCountFrequency (%)
1 46
21.0%
3 33
15.1%
4 25
11.4%
2 22
10.0%
18
 
8.2%
5 13
 
5.9%
~ 11
 
5.0%
7 11
 
5.0%
6 10
 
4.6%
- 6
 
2.7%
Other values (8) 24
11.0%

소재지도로명주소
Text

Distinct1217
Distinct (%)89.9%
Missing1
Missing (%)0.1%
Memory size10.7 KiB
2024-05-18T18:07:13.862500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length18.363368
Min length11

Characters and Unicode

Total characters24864
Distinct characters342
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1118 ?
Unique (%)82.6%

Sample

1st row인천광역시 계양구 드림로 790번길 2
2nd row대전광역시 서구 월평동로 83
3rd row대전광역시 서구 갑천도시고속도로 1833
4th row대전광역시 서구 갑천도시고속도로 1833
5th row대전광역시 서구 한밭대로 666
ValueCountFrequency (%)
경기도 452
 
7.9%
서울특별시 138
 
2.4%
대전광역시 108
 
1.9%
서구 92
 
1.6%
부산광역시 79
 
1.4%
충청남도 73
 
1.3%
인천광역시 69
 
1.2%
광주광역시 63
 
1.1%
고양시 62
 
1.1%
전라북도 59
 
1.0%
Other values (1761) 4513
79.1%
2024-05-18T18:07:15.063917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4354
 
17.5%
시 1328
 
5.3%
로 1266
 
5.1%
구 925
 
3.7%
도 862
 
3.5%
1 751
 
3.0%
경 617
 
2.5%
대 513
 
2.1%
광 509
 
2.0%
2 503
 
2.0%
Other values (332) 13236
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16624
66.9%
Space Separator 4354
 
17.5%
Decimal Number 3600
 
14.5%
Dash Punctuation 151
 
0.6%
Close Punctuation 59
 
0.2%
Open Punctuation 59
 
0.2%
Other Punctuation 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1328
 
8.0%
로 1266
 
7.6%
구 925
 
5.6%
도 862
 
5.2%
경 617
 
3.7%
대 513
 
3.1%
광 509
 
3.1%
기 491
 
3.0%
산 420
 
2.5%
서 392
 
2.4%
Other values (316) 9301
55.9%
Decimal Number
ValueCountFrequency (%)
1 751
20.9%
2 503
14.0%
3 414
11.5%
4 342
9.5%
6 299
 
8.3%
0 295
 
8.2%
5 292
 
8.1%
7 288
 
8.0%
8 226
 
6.3%
9 190
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 16
94.1%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
4354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16624
66.9%
Common 8240
33.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1328
 
8.0%
로 1266
 
7.6%
구 925
 
5.6%
도 862
 
5.2%
경 617
 
3.7%
대 513
 
3.1%
광 509
 
3.1%
기 491
 
3.0%
산 420
 
2.5%
서 392
 
2.4%
Other values (316) 9301
55.9%
Common
ValueCountFrequency (%)
4354
52.8%
1 751
 
9.1%
2 503
 
6.1%
3 414
 
5.0%
4 342
 
4.2%
6 299
 
3.6%
0 295
 
3.6%
5 292
 
3.5%
7 288
 
3.5%
8 226
 
2.7%
Other values (6) 476
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16624
66.9%
ASCII 8239
33.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4354
52.8%
1 751
 
9.1%
2 503
 
6.1%
3 414
 
5.0%
4 342
 
4.2%
6 299
 
3.6%
0 295
 
3.6%
5 292
 
3.5%
7 288
 
3.5%
8 226
 
2.7%
Other values (5) 475
 
5.8%
Hangul
ValueCountFrequency (%)
시 1328
 
8.0%
로 1266
 
7.6%
구 925
 
5.6%
도 862
 
5.2%
경 617
 
3.7%
대 513
 
3.1%
광 509
 
3.1%
기 491
 
3.0%
산 420
 
2.5%
서 392
 
2.4%
Other values (316) 9301
55.9%
None
ValueCountFrequency (%)
· 1
100.0%

위도
Real number (ℝ)

Distinct1269
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.639214
Minimum33.289972
Maximum37.863336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:15.542668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.289972
5-th percentile35.0743
Q135.852584
median37.082667
Q337.470365
95-th percentile37.668167
Maximum37.863336
Range4.5733642
Interquartile range (IQR)1.6177811

Descriptive statistics

Standard deviation0.96037854
Coefficient of variation (CV)0.026211767
Kurtosis-1.108288
Mean36.639214
Median Absolute Deviation (MAD)0.538414
Skewness-0.59346354
Sum49646.135
Variance0.92232693
MonotonicityNot monotonic
2024-05-18T18:07:16.040434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.65948674 3
 
0.2%
36.78071284 3
 
0.2%
37.44080807 2
 
0.1%
35.95875327 2
 
0.1%
35.8190696 2
 
0.1%
35.92108775 2
 
0.1%
35.93817305 2
 
0.1%
37.32482759 2
 
0.1%
37.41079621 2
 
0.1%
37.840538 2
 
0.1%
Other values (1259) 1333
98.4%
ValueCountFrequency (%)
33.28997179 1
0.1%
34.7271942 1
0.1%
34.736583 1
0.1%
34.73988317 1
0.1%
34.74108802 1
0.1%
34.74117121 1
0.1%
34.7428744 1
0.1%
34.74662228 1
0.1%
34.74853058 1
0.1%
34.75218956 1
0.1%
ValueCountFrequency (%)
37.863336 2
0.1%
37.843418 1
0.1%
37.840538 2
0.1%
37.797323 2
0.1%
37.76903806 1
0.1%
37.767951 2
0.1%
37.76635177 2
0.1%
37.76463753 2
0.1%
37.761237 1
0.1%
37.760358 1
0.1%

경도
Real number (ℝ)

Distinct1268
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.36798
Minimum126.28726
Maximum129.45296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:16.496232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.28726
5-th percentile126.64971
Q1126.87155
median127.07393
Q3127.4592
95-th percentile129.09197
Maximum129.45296
Range3.1656991
Interquartile range (IQR)0.5876533

Descriptive statistics

Standard deviation0.76260994
Coefficient of variation (CV)0.0059874539
Kurtosis0.42826932
Mean127.36798
Median Absolute Deviation (MAD)0.2714231
Skewness1.3087857
Sum172583.62
Variance0.58157392
MonotonicityNot monotonic
2024-05-18T18:07:17.108702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7726989 3
 
0.2%
127.0911641 3
 
0.2%
129.1786021 2
 
0.1%
127.0136694 2
 
0.1%
127.1044345 2
 
0.1%
127.1601888 2
 
0.1%
127.9910403 2
 
0.1%
127.9594464 2
 
0.1%
127.9568051 2
 
0.1%
127.714284 2
 
0.1%
Other values (1258) 1333
98.4%
ValueCountFrequency (%)
126.2872649 1
0.1%
126.388415 1
0.1%
126.388639 1
0.1%
126.390636 1
0.1%
126.411395 1
0.1%
126.4178012 1
0.1%
126.417928 1
0.1%
126.418279 1
0.1%
126.4210149 1
0.1%
126.4232524 1
0.1%
ValueCountFrequency (%)
129.452964 1
0.1%
129.429991 1
0.1%
129.429451 1
0.1%
129.424415 1
0.1%
129.388553 1
0.1%
129.381231 1
0.1%
129.378216 2
0.1%
129.354123 1
0.1%
129.348251 1
0.1%
129.327709 1
0.1%

육교연장
Real number (ℝ)

MISSING 

Distinct413
Distinct (%)32.3%
Missing78
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean50.525591
Minimum5.3
Maximum693.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:17.619694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile20.48
Q130
median40
Q355.6
95-th percentile121.1
Maximum693.6
Range688.3
Interquartile range (IQR)25.6

Descriptive statistics

Standard deviation39.999027
Coefficient of variation (CV)0.79165876
Kurtosis59.440362
Mean50.525591
Median Absolute Deviation (MAD)11.2
Skewness5.351137
Sum64521.18
Variance1599.9222
MonotonicityNot monotonic
2024-05-18T18:07:18.141939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 55
 
4.1%
40.0 50
 
3.7%
45.0 32
 
2.4%
28.0 31
 
2.3%
35.0 27
 
2.0%
38.0 26
 
1.9%
32.0 24
 
1.8%
33.0 22
 
1.6%
34.0 20
 
1.5%
46.0 20
 
1.5%
Other values (403) 970
71.6%
(Missing) 78
 
5.8%
ValueCountFrequency (%)
5.3 1
0.1%
6.5 1
0.1%
10.0 2
0.1%
11.0 1
0.1%
12.0 1
0.1%
12.2 1
0.1%
13.3 1
0.1%
13.58 2
0.1%
13.6 1
0.1%
14.0 1
0.1%
ValueCountFrequency (%)
693.6 1
0.1%
332.0 1
0.1%
315.0 1
0.1%
272.8 1
0.1%
266.0 1
0.1%
257.0 1
0.1%
250.0 1
0.1%
240.0 1
0.1%
236.0 1
0.1%
234.0 1
0.1%

육교높이
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)14.8%
Missing493
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean8.5366253
Minimum0
Maximum150
Zeros33
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:18.605000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.41
Q14.5
median5
Q35.6
95-th percentile37.38
Maximum150
Range150
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation15.409889
Coefficient of variation (CV)1.80515
Kurtosis32.483976
Mean8.5366253
Median Absolute Deviation (MAD)0.5
Skewness5.3259948
Sum7358.571
Variance237.46468
MonotonicityNot monotonic
2024-05-18T18:07:19.048329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 197
 
14.5%
4.5 150
 
11.1%
5.5 77
 
5.7%
6.0 55
 
4.1%
4.8 46
 
3.4%
0.0 33
 
2.4%
5.2 20
 
1.5%
4.0 18
 
1.3%
4.7 17
 
1.3%
5.1 16
 
1.2%
Other values (118) 233
17.2%
(Missing) 493
36.4%
ValueCountFrequency (%)
0.0 33
2.4%
0.6 1
 
0.1%
0.8 1
 
0.1%
1.0 3
 
0.2%
1.1 1
 
0.1%
1.2 3
 
0.2%
1.3 1
 
0.1%
1.4 1
 
0.1%
1.6 2
 
0.1%
1.8 1
 
0.1%
ValueCountFrequency (%)
150.0 1
0.1%
130.0 1
0.1%
125.0 1
0.1%
121.0 1
0.1%
119.3 1
0.1%
116.0 1
0.1%
111.0 1
0.1%
96.6 1
0.1%
92.0 1
0.1%
88.8 1
0.1%

허용통행하중
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)6.7%
Missing1145
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean9.9038429
Minimum0
Maximum225
Zeros69
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:19.445634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q37.5
95-th percentile43.2
Maximum225
Range225
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation20.74026
Coefficient of variation (CV)2.0941629
Kurtosis54.894819
Mean9.9038429
Median Absolute Deviation (MAD)3.5
Skewness5.9162958
Sum2079.807
Variance430.15838
MonotonicityNot monotonic
2024-05-18T18:07:19.782724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 69
 
5.1%
43.2 29
 
2.1%
0.5 26
 
1.9%
5.0 26
 
1.9%
3.5 24
 
1.8%
13.5 12
 
0.9%
7.5 11
 
0.8%
13.0 4
 
0.3%
15.0 3
 
0.2%
2.4 2
 
0.1%
Other values (4) 4
 
0.3%
(Missing) 1145
84.5%
ValueCountFrequency (%)
0.0 69
5.1%
0.34 1
 
0.1%
0.5 26
 
1.9%
2.4 2
 
0.1%
3.367 1
 
0.1%
3.5 24
 
1.8%
5.0 26
 
1.9%
7.5 11
 
0.8%
13.0 4
 
0.3%
13.5 12
 
0.9%
ValueCountFrequency (%)
225.0 1
 
0.1%
43.2 29
2.1%
25.0 1
 
0.1%
15.0 3
 
0.2%
13.5 12
0.9%
13.0 4
 
0.3%
7.5 11
 
0.8%
5.0 26
1.9%
3.5 24
1.8%
3.367 1
 
0.1%

통행제한높이
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7334982
Minimum0
Maximum45
Zeros35
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:20.164336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14.5
median4.5
Q35
95-th percentile6.53
Maximum45
Range45
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.6389293
Coefficient of variation (CV)0.34624061
Kurtosis274.33196
Mean4.7334982
Median Absolute Deviation (MAD)0.3
Skewness11.316365
Sum6413.89
Variance2.6860892
MonotonicityNot monotonic
2024-05-18T18:07:20.631540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.5 530
39.1%
5.0 266
19.6%
4.8 125
 
9.2%
4.0 87
 
6.4%
4.7 35
 
2.6%
0.0 35
 
2.6%
4.3 34
 
2.5%
7.0 29
 
2.1%
5.5 22
 
1.6%
4.2 22
 
1.6%
Other values (42) 170
 
12.5%
ValueCountFrequency (%)
0.0 35
2.6%
1.4 1
 
0.1%
2.0 1
 
0.1%
2.5 5
 
0.4%
3.0 9
 
0.7%
3.1 1
 
0.1%
3.3 1
 
0.1%
3.5 1
 
0.1%
3.8 2
 
0.1%
3.9 1
 
0.1%
ValueCountFrequency (%)
45.0 1
 
0.1%
18.0 1
 
0.1%
13.3 1
 
0.1%
12.5 1
 
0.1%
10.0 8
0.6%
9.2 1
 
0.1%
9.0 2
 
0.1%
8.7 1
 
0.1%
8.5 4
0.3%
8.44 2
 
0.1%

육교폭
Real number (ℝ)

MISSING  SKEWED 

Distinct82
Distinct (%)6.7%
Missing138
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean7.0841331
Minimum1
Maximum3345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:21.196238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q13
median4
Q34.5
95-th percentile8
Maximum3345
Range3344
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation95.800941
Coefficient of variation (CV)13.523312
Kurtosis1214.9491
Mean7.0841331
Median Absolute Deviation (MAD)0.7
Skewness34.841613
Sum8621.39
Variance9177.8203
MonotonicityNot monotonic
2024-05-18T18:07:21.653975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 390
28.8%
3.0 239
17.6%
3.5 72
 
5.3%
5.0 64
 
4.7%
6.0 47
 
3.5%
4.5 46
 
3.4%
2.0 34
 
2.5%
2.5 25
 
1.8%
8.0 22
 
1.6%
5.4 19
 
1.4%
Other values (72) 259
19.1%
(Missing) 138
 
10.2%
ValueCountFrequency (%)
1.0 3
 
0.2%
1.5 6
 
0.4%
1.8 3
 
0.2%
2.0 34
2.5%
2.1 2
 
0.1%
2.2 1
 
0.1%
2.3 6
 
0.4%
2.35 1
 
0.1%
2.4 7
 
0.5%
2.5 25
1.8%
ValueCountFrequency (%)
3345.0 1
0.1%
35.0 1
0.1%
33.0 1
0.1%
30.3 1
0.1%
30.0 2
0.1%
29.2 1
0.1%
26.0 1
0.1%
21.0 1
0.1%
20.0 2
0.1%
19.3 1
0.1%

난간높이
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)4.3%
Missing793
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean1.2044662
Minimum0
Maximum12
Zeros47
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:22.061893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.2
Q31.5
95-th percentile1.8
Maximum12
Range12
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.67116613
Coefficient of variation (CV)0.55723119
Kurtosis121.67737
Mean1.2044662
Median Absolute Deviation (MAD)0.2
Skewness7.6721065
Sum676.91
Variance0.45046397
MonotonicityNot monotonic
2024-05-18T18:07:22.465513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.2 147
 
10.8%
1.5 134
 
9.9%
1.0 107
 
7.9%
1.1 66
 
4.9%
0.0 47
 
3.5%
2.0 15
 
1.1%
1.3 13
 
1.0%
1.8 10
 
0.7%
1.4 5
 
0.4%
2.5 2
 
0.1%
Other values (14) 16
 
1.2%
(Missing) 793
58.5%
ValueCountFrequency (%)
0.0 47
 
3.5%
0.88 1
 
0.1%
0.9 1
 
0.1%
1.0 107
7.9%
1.05 1
 
0.1%
1.1 66
4.9%
1.15 2
 
0.1%
1.17 1
 
0.1%
1.2 147
10.8%
1.3 13
 
1.0%
ValueCountFrequency (%)
12.0 1
 
0.1%
5.0 1
 
0.1%
4.5 1
 
0.1%
3.0 2
 
0.1%
2.5 2
 
0.1%
2.3 1
 
0.1%
2.0 15
1.1%
1.95 1
 
0.1%
1.87 1
 
0.1%
1.8 10
0.7%

조명개수
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)14.3%
Missing1005
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean15.997143
Minimum0
Maximum398
Zeros92
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:22.883424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q310
95-th percentile73.15
Maximum398
Range398
Interquartile range (IQR)10

Descriptive statistics

Standard deviation42.619964
Coefficient of variation (CV)2.6642235
Kurtosis31.231808
Mean15.997143
Median Absolute Deviation (MAD)5
Skewness5.1482814
Sum5599
Variance1816.4613
MonotonicityNot monotonic
2024-05-18T18:07:23.425530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
6.8%
2 39
 
2.9%
4 28
 
2.1%
8 28
 
2.1%
6 23
 
1.7%
10 21
 
1.5%
7 13
 
1.0%
11 11
 
0.8%
5 10
 
0.7%
14 7
 
0.5%
Other values (40) 78
 
5.8%
(Missing) 1005
74.2%
ValueCountFrequency (%)
0 92
6.8%
1 1
 
0.1%
2 39
2.9%
3 6
 
0.4%
4 28
 
2.1%
5 10
 
0.7%
6 23
 
1.7%
7 13
 
1.0%
8 28
 
2.1%
9 4
 
0.3%
ValueCountFrequency (%)
398 1
0.1%
291 1
0.1%
276 1
0.1%
208 1
0.1%
194 1
0.1%
189 1
0.1%
188 1
0.1%
186 2
0.1%
154 1
0.1%
141 1
0.1%

장애인편의시설설치여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
True
797 
False
558 
ValueCountFrequency (%)
True 797
58.8%
False 558
41.2%
2024-05-18T18:07:23.913205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인편의시설종류
Categorical

Distinct37
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
없음
519 
경사로
300 
엘리베이터
226 
승강기
87 
N
 
36
Other values (32)
187 

Length

Max length14
Median length13
Mean length3.5409594
Min length1

Unique

Unique11 ?
Unique (%)0.8%

Sample

1st row없음
2nd row경사로
3rd row경사로
4th row경사로
5th row경사로

Common Values

ValueCountFrequency (%)
없음 519
38.3%
경사로 300
22.1%
엘리베이터 226
16.7%
승강기 87
 
6.4%
N 36
 
2.7%
점자블록 24
 
1.8%
점자블럭+경사로 23
 
1.7%
엘리베이터+경사로 20
 
1.5%
경사로+엘리베이터 19
 
1.4%
점자블록+경사로 12
 
0.9%
Other values (27) 89
 
6.6%

Length

2024-05-18T18:07:24.313940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 519
37.9%
경사로 307
22.4%
엘리베이터 233
17.0%
승강기 87
 
6.3%
n 36
 
2.6%
점자블록 24
 
1.8%
점자블럭+경사로 23
 
1.7%
엘리베이터+경사로 20
 
1.5%
경사로+엘리베이터 19
 
1.4%
점자블록+경사로 12
 
0.9%
Other values (29) 91
 
6.6%

장애인편의시설수량
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)1.3%
Missing796
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean1.4758497
Minimum0
Maximum24
Zeros113
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:24.697832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum24
Range24
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3648322
Coefficient of variation (CV)0.92477722
Kurtosis132.90292
Mean1.4758497
Median Absolute Deviation (MAD)1
Skewness8.2556874
Sum825
Variance1.862767
MonotonicityNot monotonic
2024-05-18T18:07:25.211747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 266
 
19.6%
1 143
 
10.6%
0 113
 
8.3%
3 24
 
1.8%
4 10
 
0.7%
7 2
 
0.1%
24 1
 
0.1%
(Missing) 796
58.7%
ValueCountFrequency (%)
0 113
8.3%
1 143
10.6%
2 266
19.6%
3 24
 
1.8%
4 10
 
0.7%
7 2
 
0.1%
24 1
 
0.1%
ValueCountFrequency (%)
24 1
 
0.1%
7 2
 
0.1%
4 10
 
0.7%
3 24
 
1.8%
2 266
19.6%
1 143
10.6%
0 113
8.3%

부대시설종류
Categorical

IMBALANCE 

Distinct17
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
<NA>
895 
없음
286 
엘리베이터
 
82
캐노피
 
23
엘리베이터+캐노피
 
12
Other values (12)
 
57

Length

Max length12
Median length4
Mean length3.6907749
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 895
66.1%
없음 286
 
21.1%
엘리베이터 82
 
6.1%
캐노피 23
 
1.7%
엘리베이터+캐노피 12
 
0.9%
0 9
 
0.7%
N 8
 
0.6%
교량 8
 
0.6%
엘리베이터+케노피 7
 
0.5%
난간+가로등 6
 
0.4%
Other values (7) 19
 
1.4%

Length

2024-05-18T18:07:25.733851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 895
65.9%
없음 286
 
21.0%
엘리베이터 84
 
6.2%
캐노피 25
 
1.8%
엘리베이터+캐노피 12
 
0.9%
0 9
 
0.7%
n 8
 
0.6%
교량 8
 
0.6%
엘리베이터+케노피 7
 
0.5%
난간+가로등 6
 
0.4%
Other values (7) 19
 
1.4%

부대시설수량
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)3.6%
Missing1018
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean0.99109792
Minimum0
Maximum14
Zeros185
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:26.013502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7260032
Coefficient of variation (CV)1.7415063
Kurtosis19.575441
Mean0.99109792
Median Absolute Deviation (MAD)0
Skewness3.7065459
Sum334
Variance2.9790872
MonotonicityNot monotonic
2024-05-18T18:07:26.367098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 185
 
13.7%
2 64
 
4.7%
1 60
 
4.4%
3 14
 
1.0%
5 4
 
0.3%
7 3
 
0.2%
9 2
 
0.1%
6 1
 
0.1%
13 1
 
0.1%
8 1
 
0.1%
Other values (2) 2
 
0.1%
(Missing) 1018
75.1%
ValueCountFrequency (%)
0 185
13.7%
1 60
 
4.4%
2 64
 
4.7%
3 14
 
1.0%
4 1
 
0.1%
5 4
 
0.3%
6 1
 
0.1%
7 3
 
0.2%
8 1
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
14 1
 
0.1%
13 1
 
0.1%
9 2
 
0.1%
8 1
 
0.1%
7 3
 
0.2%
6 1
 
0.1%
5 4
 
0.3%
4 1
 
0.1%
3 14
 
1.0%
2 64
4.7%

육교준공일자
Date

MISSING 

Distinct397
Distinct (%)45.4%
Missing480
Missing (%)35.4%
Memory size10.7 KiB
Minimum1968-01-01 00:00:00
Maximum2023-08-25 00:00:00
2024-05-18T18:07:26.788295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:07:27.252816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

내진설계적용여부
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
N
791 
347 
Y
217 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
N 791
58.4%
347
25.6%
Y 217
 
16.0%

Length

2024-05-18T18:07:27.852102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:07:28.244588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 791
78.5%
y 217
 
21.5%

안전등급
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
양호
897 
보통
417 
미흡
 
26
우수
 
14
불량
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row보통
2nd row양호
3rd row보통
4th row미흡
5th row보통

Common Values

ValueCountFrequency (%)
양호 897
66.2%
보통 417
30.8%
미흡 26
 
1.9%
우수 14
 
1.0%
불량 1
 
0.1%

Length

2024-05-18T18:07:28.675843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:07:29.040759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 897
66.2%
보통 417
30.8%
미흡 26
 
1.9%
우수 14
 
1.0%
불량 1
 
0.1%

사용제한구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
제한없음
1345 
사용제한
 
6
철거
 
4

Length

Max length4
Median length4
Mean length3.9940959
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 1345
99.3%
사용제한 6
 
0.4%
철거 4
 
0.3%

Length

2024-05-18T18:07:29.449908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:07:29.799769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 1345
99.3%
사용제한 6
 
0.4%
철거 4
 
0.3%

육교보수보강내역
Text

MISSING 

Distinct103
Distinct (%)41.0%
Missing1104
Missing (%)81.5%
Memory size10.7 KiB
2024-05-18T18:07:30.338527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length50
Mean length8.2310757
Min length1

Characters and Unicode

Total characters2066
Distinct characters163
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)29.1%

Sample

1st row화강석판석+ 하부도장 + 배수관교체
2nd row화강석판석+ 하부도장 + 배수관 교체
3rd row세척
4th rowN
5th rowN
ValueCountFrequency (%)
n 41
 
8.3%
없음 25
 
5.1%
보수 24
 
4.9%
도색 21
 
4.3%
및 19
 
3.8%
교체 16
 
3.2%
일상유지보수 14
 
2.8%
계단 14
 
2.8%
도장보수 11
 
2.2%
해당없음 11
 
2.2%
Other values (159) 298
60.3%
2024-05-18T18:07:31.948105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
246
 
11.9%
2 99
 
4.8%
도 96
 
4.6%
보 93
 
4.5%
수 90
 
4.4%
0 74
 
3.6%
장 53
 
2.6%
1 45
 
2.2%
교 45
 
2.2%
N 41
 
2.0%
Other values (153) 1184
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1356
65.6%
Decimal Number 266
 
12.9%
Space Separator 246
 
11.9%
Other Punctuation 50
 
2.4%
Uppercase Letter 44
 
2.1%
Math Symbol 43
 
2.1%
Open Punctuation 23
 
1.1%
Close Punctuation 23
 
1.1%
Other Symbol 7
 
0.3%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 96
 
7.1%
보 93
 
6.9%
수 90
 
6.6%
장 53
 
3.9%
교 45
 
3.3%
음 36
 
2.7%
없 36
 
2.7%
비 36
 
2.7%
재 34
 
2.5%
색 34
 
2.5%
Other values (130) 803
59.2%
Decimal Number
ValueCountFrequency (%)
2 99
37.2%
0 74
27.8%
1 45
16.9%
3 10
 
3.8%
9 9
 
3.4%
7 9
 
3.4%
8 6
 
2.3%
5 6
 
2.3%
4 5
 
1.9%
6 3
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 41
93.2%
A 2
 
4.5%
X 1
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 41
95.3%
= 2
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 34
68.0%
, 16
32.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1356
65.6%
Common 664
32.1%
Latin 46
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 96
 
7.1%
보 93
 
6.9%
수 90
 
6.6%
장 53
 
3.9%
교 45
 
3.3%
음 36
 
2.7%
없 36
 
2.7%
비 36
 
2.7%
재 34
 
2.5%
색 34
 
2.5%
Other values (130) 803
59.2%
Common
ValueCountFrequency (%)
246
37.0%
2 99
14.9%
0 74
 
11.1%
1 45
 
6.8%
+ 41
 
6.2%
. 34
 
5.1%
( 23
 
3.5%
) 23
 
3.5%
, 16
 
2.4%
3 10
 
1.5%
Other values (9) 53
 
8.0%
Latin
ValueCountFrequency (%)
N 41
89.1%
A 2
 
4.3%
m 2
 
4.3%
X 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1356
65.6%
ASCII 703
34.0%
CJK Compat 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
246
35.0%
2 99
14.1%
0 74
 
10.5%
1 45
 
6.4%
N 41
 
5.8%
+ 41
 
5.8%
. 34
 
4.8%
( 23
 
3.3%
) 23
 
3.3%
, 16
 
2.3%
Other values (12) 61
 
8.7%
Hangul
ValueCountFrequency (%)
도 96
 
7.1%
보 93
 
6.9%
수 90
 
6.6%
장 53
 
3.9%
교 45
 
3.3%
음 36
 
2.7%
없 36
 
2.7%
비 36
 
2.7%
재 34
 
2.5%
색 34
 
2.5%
Other values (130) 803
59.2%
CJK Compat
ValueCountFrequency (%)
㎡ 7
100.0%

최종안전점검유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
정기점검
1342 
정밀점검
 
10
정밀안전진단
 
3

Length

Max length6
Median length4
Mean length4.004428
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기점검 1342
99.0%
정밀점검 10
 
0.7%
정밀안전진단 3
 
0.2%

Length

2024-05-18T18:07:32.480185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:07:32.873655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기점검 1342
99.0%
정밀점검 10
 
0.7%
정밀안전진단 3
 
0.2%

최종안전점검일자
Date

Distinct172
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum1900-01-01 00:00:00
Maximum2024-03-19 00:00:00
2024-05-18T18:07:33.303484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:07:33.811268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Text

Distinct169
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-18T18:07:34.532568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.8398524
Min length3

Characters and Unicode

Total characters13333
Distinct characters125
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

Unique18 ?
Unique (%)1.3%

Sample

1st row인천광역시 계양구청
2nd row대전광역시 서구청
3rd row대전광역시 서구청
4th row대전광역시 서구청
5th row대전광역시 서구청
ValueCountFrequency (%)
경기도 452
 
15.1%
서울특별시 140
 
4.7%
대전광역시 108
 
3.6%
부산광역시 79
 
2.6%
충청남도 72
 
2.4%
인천광역시 69
 
2.3%
고양시청 62
 
2.1%
전라남도 58
 
1.9%
전라북도 55
 
1.8%
광주광역시 54
 
1.8%
Other values (170) 1850
61.7%
2024-05-18T18:07:36.083512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1644
 
12.3%
시 1302
 
9.8%
청 1083
 
8.1%
도 909
 
6.8%
구 754
 
5.7%
경 563
 
4.2%
광 488
 
3.7%
기 462
 
3.5%
역 375
 
2.8%
남 309
 
2.3%
Other values (115) 5444
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11689
87.7%
Space Separator 1644
 
12.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1302
 
11.1%
청 1083
 
9.3%
도 909
 
7.8%
구 754
 
6.5%
경 563
 
4.8%
광 488
 
4.2%
기 462
 
4.0%
역 375
 
3.2%
남 309
 
2.6%
전 286
 
2.4%
Other values (114) 5158
44.1%
Space Separator
ValueCountFrequency (%)
1644
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11689
87.7%
Common 1644
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1302
 
11.1%
청 1083
 
9.3%
도 909
 
7.8%
구 754
 
6.5%
경 563
 
4.8%
광 488
 
4.2%
기 462
 
4.0%
역 375
 
3.2%
남 309
 
2.6%
전 286
 
2.4%
Other values (114) 5158
44.1%
Common
ValueCountFrequency (%)
1644
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11689
87.7%
ASCII 1644
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1644
100.0%
Hangul
ValueCountFrequency (%)
시 1302
 
11.1%
청 1083
 
9.3%
도 909
 
7.8%
구 754
 
6.5%
경 563
 
4.8%
광 488
 
4.2%
기 462
 
4.0%
역 375
 
3.2%
남 309
 
2.6%
전 286
 
2.4%
Other values (114) 5158
44.1%

데이터기준일자
Date

Distinct118
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
Minimum2020-07-17 00:00:00
Maximum2024-04-18 00:00:00
2024-05-18T18:07:36.579494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:07:37.174764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct153
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4194633.6
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2024-05-18T18:07:37.605580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3140000
Q13600000
median3940000
Q34720000
95-th percentile6300000
Maximum6520000
Range3520000
Interquartile range (IQR)1120000

Descriptive statistics

Standard deviation854339.6
Coefficient of variation (CV)0.20367443
Kurtosis0.089396435
Mean4194633.6
Median Absolute Deviation (MAD)510000
Skewness0.92827679
Sum5.6837285 × 109
Variance7.2989616 × 1011
MonotonicityNot monotonic
2024-05-18T18:07:38.078660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6300000 65
 
4.8%
3940000 62
 
4.6%
3740000 46
 
3.4%
3780000 41
 
3.0%
3930000 27
 
2.0%
4490000 27
 
2.0%
3830000 27
 
2.0%
4520000 25
 
1.8%
3660000 25
 
1.8%
4810000 24
 
1.8%
Other values (143) 986
72.8%
ValueCountFrequency (%)
3000000 3
 
0.2%
3010000 2
 
0.1%
3020000 13
1.0%
3030000 4
 
0.3%
3050000 7
0.5%
3060000 6
0.4%
3070000 5
 
0.4%
3080000 1
 
0.1%
3100000 5
 
0.4%
3120000 7
0.5%
ValueCountFrequency (%)
6520000 1
 
0.1%
6310000 8
 
0.6%
6300000 65
4.8%
5710000 12
 
0.9%
5700000 4
 
0.3%
5690000 9
 
0.7%
5680000 9
 
0.7%
5670000 21
 
1.5%
5580000 1
 
0.1%
5540000 13
 
1.0%

제공기관명
Text

Distinct153
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2024-05-18T18:07:38.965436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.8811808
Min length5

Characters and Unicode

Total characters10679
Distinct characters105
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

Unique20 ?
Unique (%)1.5%

Sample

1st row인천광역시 계양구
2nd row대전광역시 서구
3rd row대전광역시 서구
4th row대전광역시 서구
5th row대전광역시 서구
ValueCountFrequency (%)
경기도 453
 
17.2%
서울특별시 140
 
5.3%
대전광역시 108
 
4.1%
부산광역시 79
 
3.0%
충청남도 73
 
2.8%
인천광역시 69
 
2.6%
서구 68
 
2.6%
광주광역시 63
 
2.4%
고양시 62
 
2.4%
전라남도 58
 
2.2%
Other values (128) 1455
55.4%
2024-05-18T18:07:40.205781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1308
 
12.2%
1273
 
11.9%
도 834
 
7.8%
경 564
 
5.3%
구 495
 
4.6%
광 488
 
4.6%
기 463
 
4.3%
역 372
 
3.5%
남 294
 
2.8%
전 270
 
2.5%
Other values (95) 4318
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9406
88.1%
Space Separator 1273
 
11.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1308
 
13.9%
도 834
 
8.9%
경 564
 
6.0%
구 495
 
5.3%
광 488
 
5.2%
기 463
 
4.9%
역 372
 
4.0%
남 294
 
3.1%
전 270
 
2.9%
서 255
 
2.7%
Other values (94) 4063
43.2%
Space Separator
ValueCountFrequency (%)
1273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9406
88.1%
Common 1273
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1308
 
13.9%
도 834
 
8.9%
경 564
 
6.0%
구 495
 
5.3%
광 488
 
5.2%
기 463
 
4.9%
역 372
 
4.0%
남 294
 
3.1%
전 270
 
2.9%
서 255
 
2.7%
Other values (94) 4063
43.2%
Common
ValueCountFrequency (%)
1273
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9406
88.1%
ASCII 1273
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1308
 
13.9%
도 834
 
8.9%
경 564
 
6.0%
구 495
 
5.3%
광 488
 
5.2%
기 463
 
4.9%
역 372
 
4.0%
남 294
 
3.1%
전 270
 
2.9%
서 255
 
2.7%
Other values (94) 4063
43.2%
ASCII
ValueCountFrequency (%)
1273
100.0%

Sample

육교명도로종류도로노선번호도로노선명소재지도로명주소위도경도육교연장육교높이허용통행하중통행제한높이육교폭난간높이조명개수장애인편의시설설치여부장애인편의시설종류장애인편의시설수량부대시설종류부대시설수량육교준공일자내진설계적용여부안전등급사용제한구분육교보수보강내역최종안전점검유형최종안전점검일자관리기관명데이터기준일자제공기관코드제공기관명
0갈현보도육교시도2-61드림로인천광역시 계양구 드림로 790번길 237.575638126.72118929.0<NA><NA>5.04.0<NA><NA>N없음<NA><NA><NA>1997-01-01N보통제한없음<NA>정기점검2023-07-17인천광역시 계양구청2023-12-043550000인천광역시 계양구
1다모아보도육교구도<NA>갑천도시고속도로대전광역시 서구 월평동로 8336.363314127.36660854.05.0<NA>4.54.01.18Y경사로<NA><NA><NA>1997-01-01양호제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
2갑천1보도육교구도<NA>갑천도시고속도로대전광역시 서구 갑천도시고속도로 183336.358268127.35967135.05.0<NA>4.54.01.010Y경사로<NA><NA><NA>1993-01-01보통제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
3갑천2보도육교구도<NA>한밭대로대전광역시 서구 갑천도시고속도로 183336.358824127.36076552.05.0<NA>4.54.01.023Y경사로<NA><NA><NA>1993-01-01미흡제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
4누리보도육교구도<NA>한밭대로대전광역시 서구 한밭대로 66636.357787127.3687847.05.2<NA>4.53.01.18Y경사로<NA><NA><NA>2000-02-01보통제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
5수정보도육교구도<NA>한밭대로대전광역시 서구 청사로 28236.357677127.39701231.26.0<NA>4.54.01.011Y경사로<NA><NA><NA>1996-01-01양호제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
6한밭보도육교구도<NA>한밭대로대전광역시 서구 청사로 28236.357908127.400441138.36.0<NA>4.54.01.021Y경사로<NA><NA><NA>1992-01-01양호제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
7가람보도육교구도<NA>유등로대전광역시 서구 둔산북로 21536.324242127.40232639.66.0<NA>4.54.01.011Y경사로<NA><NA><NA>1992-01-01미흡제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
8갈마보도육교일반국도4계룡로대전광역시 서구 계룡로 39836.344934127.3795340.05.0<NA>4.54.01.08Y경사로<NA><NA><NA>1993-01-01보통제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
9만년보도육교지방도57대덕대로대전광역시 서구 대덕대로 39836.368368127.3796343.17.0<NA>4.54.01.011Y경사로<NA><NA><NA>1996-01-01미흡제한없음<NA>정기점검2023-06-30대전광역시 서구청2023-11-273660000대전광역시 서구
육교명도로종류도로노선번호도로노선명소재지도로명주소위도경도육교연장육교높이허용통행하중통행제한높이육교폭난간높이조명개수장애인편의시설설치여부장애인편의시설종류장애인편의시설수량부대시설종류부대시설수량육교준공일자내진설계적용여부안전등급사용제한구분육교보수보강내역최종안전점검유형최종안전점검일자관리기관명데이터기준일자제공기관코드제공기관명
1345장평육교일반국도58호선장평3로경상남도 거제시 장평3로 1034.889442128.609402104.5<NA><NA>4.52.5<NA><NA>Y엘리베이터<NA><NA><NA>2008-01-01보통제한없음<NA>정기점검2022-10-11경상남도 거제시청 도로과2023-11-275370000경상남도 거제시
1346중곡동육교일반국도58호선거제대로경상남도 거제시 중곡로 334.893034128.6302843.7<NA><NA>4.74.0<NA><NA>Y엘리베이터<NA><NA><NA>1998-01-01보통제한없음<NA>정기점검2022-10-11경상남도 거제시청 도로과2023-11-275370000경상남도 거제시
1347청마교기타<NA>거제남서로경상남도 거제시 둔덕면 거제남서로 462434.835678128.50467665.0<NA><NA>4.03.0<NA><NA>N없음<NA><NA><NA>2004-12-29양호제한없음<NA>정기점검2022-10-08경상남도 거제시청 도로과2023-11-275370000경상남도 거제시
1348산방보도교기타<NA>산방2길경상남도 거제시 둔덕면 산방2길 7-1734.856585128.51461425.0<NA><NA>3.13.9<NA><NA>N없음<NA><NA><NA>2008-04-25양호제한없음<NA>정기점검2022-10-08경상남도 거제시청 도로과2023-11-275370000경상남도 거제시
1349민락초등학교 앞 육교시도광역시도2003광남로부산광역시 수영구 광남로 27135.160662129.12833556.0<NA><NA>4.93.0<NA><NA>Y승강기3<NA><NA><NA>N보통제한없음<NA>정기점검2023-06-07부산광역시 수영구청2023-11-213380000부산광역시 수영구
1350민락교 접속육교시도광역시도2401광안해변로부산광역시 수영구 광안해변로 41835.159986129.1315185.3<NA><NA>8.72.0<NA><NA>N없음0<NA><NA><NA>N보통제한없음<NA>정기점검2023-06-07부산광역시 수영구청2023-11-213380000부산광역시 수영구
1351남천동 자유한국당사 앞 육교시도광역시도24황령대로부산광역시 수영구 황령대로 49335.138288129.10791329.8<NA><NA>4.53.0<NA><NA>Y승강기2<NA><NA><NA>N보통제한없음<NA>정기점검2023-06-07부산광역시 수영구청2023-11-213380000부산광역시 수영구
1352송도곡각지 앞 육교시도1-8호선충무대로부산광역시 서구 충무대로 5635.078649129.01830166.56.0<NA>5.53.01.26Y승강기2<NA><NA>1995-12-31양호제한없음2020.08.(재도장 완료)정기점검2023-10-04부산광역시 서구청2023-11-043260000부산광역시 서구
1353동신초등학교 앞 육교시도3-7호선보수대로부산광역시 서구 보수대로 219-135.114451129.01947335.05.0<NA>4.53.01.26Y승강기2<NA><NA>1986-12-31양호제한없음2021.07.(재도장 완료)정기점검2023-10-04부산광역시 서구청2023-11-043260000부산광역시 서구
1354구덕야구장 앞 육교시도3-7호선보수대로부산광역시 서구 보수대로 25035.116255129.01728950.55.0<NA>4.53.51.24Y승강기2<NA><NA>1986-12-31양호제한없음2022.01.(재도장 완료)정기점검2023-10-04부산광역시 서구청2023-11-043260000부산광역시 서구