Overview

Dataset statistics

Number of variables36
Number of observations3987
Missing cells15500
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory306.0 B

Variable types

Text7
Categorical12
Numeric12
Unsupported3
Boolean1
DateTime1

Alerts

내진설계적용여부 has constant value ""Constant
내진성능확보여부 has constant value ""Constant
작성기준일 has constant value ""Constant
도로방향 is highly imbalanced (50.4%)Imbalance
시도명 is highly imbalanced (94.3%)Imbalance
점검종류 is highly imbalanced (96.4%)Imbalance
교량보수보강내역 is highly imbalanced (99.7%)Imbalance
설계활하중 is highly imbalanced (63.3%)Imbalance
소재지(도로명) has 3987 (100.0%) missing valuesMissing
상하행선분리여부 has 3987 (100.0%) missing valuesMissing
교량보수보강비용 has 3987 (100.0%) missing valuesMissing
하부통과제한높이 has 3539 (88.8%) missing valuesMissing
하부통과제한높이 is highly skewed (γ1 = 21.15692828)Skewed
소재지(도로명) is an unsupported type, check if it needs cleaning or further analysisUnsupported
상하행선분리여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
교량보수보강비용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시작점위도 has 1206 (30.2%) zerosZeros
시작점경도 has 1206 (30.2%) zerosZeros
종료점위도 has 1207 (30.3%) zerosZeros
종료점경도 has 1207 (30.3%) zerosZeros
보도폭 has 914 (22.9%) zerosZeros
높이 has 431 (10.8%) zerosZeros
하부통과제한높이 has 95 (2.4%) zerosZeros

Reproduction

Analysis started2024-05-03 19:19:20.517151
Analysis finished2024-05-03 19:19:23.234271
Duration2.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교량명
Text

Distinct3462
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:23.867066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length4.2796589
Min length2

Characters and Unicode

Total characters17063
Distinct characters447
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3062 ?
Unique (%)76.8%

Sample

1st row백세교
2nd row가학2교
3rd row가현교
4th row각골고가차도
5th row능평램프C교
ValueCountFrequency (%)
새터교 8
 
0.2%
태전ic 8
 
0.2%
신촌교 7
 
0.2%
금곡교 7
 
0.2%
월곶jct 7
 
0.2%
무명교 6
 
0.1%
청계교 6
 
0.1%
신천교 5
 
0.1%
새마을교 5
 
0.1%
의왕ic 5
 
0.1%
Other values (3484) 4014
98.4%
2024-05-03T19:19:25.001506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 3990
 
23.4%
1 558
 
3.3%
2 474
 
2.8%
천 342
 
2.0%
) 283
 
1.7%
( 282
 
1.7%
산 207
 
1.2%
대 206
 
1.2%
가 198
 
1.2%
신 189
 
1.1%
Other values (437) 10334
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14115
82.7%
Decimal Number 1476
 
8.7%
Uppercase Letter 574
 
3.4%
Close Punctuation 301
 
1.8%
Open Punctuation 300
 
1.8%
Dash Punctuation 118
 
0.7%
Space Separator 91
 
0.5%
Lowercase Letter 63
 
0.4%
Other Punctuation 24
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 3990
28.3%
천 342
 
2.4%
산 207
 
1.5%
대 206
 
1.5%
가 198
 
1.4%
신 189
 
1.3%
고 176
 
1.2%
동 171
 
1.2%
장 160
 
1.1%
리 158
 
1.1%
Other values (389) 8318
58.9%
Uppercase Letter
ValueCountFrequency (%)
C 156
27.2%
I 133
23.2%
R 68
11.8%
A 54
 
9.4%
B 33
 
5.7%
M 28
 
4.9%
P 26
 
4.5%
D 14
 
2.4%
T 13
 
2.3%
J 11
 
1.9%
Other values (9) 38
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 558
37.8%
2 474
32.1%
3 186
 
12.6%
4 85
 
5.8%
5 55
 
3.7%
6 37
 
2.5%
8 23
 
1.6%
7 23
 
1.6%
9 21
 
1.4%
0 14
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 19
30.2%
p 19
30.2%
m 19
30.2%
i 2
 
3.2%
c 1
 
1.6%
b 1
 
1.6%
o 1
 
1.6%
x 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 14
58.3%
/ 5
 
20.8%
, 3
 
12.5%
: 2
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 283
94.0%
] 18
 
6.0%
Open Punctuation
ValueCountFrequency (%)
( 282
94.0%
[ 18
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Space Separator
ValueCountFrequency (%)
91
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14114
82.7%
Common 2311
 
13.5%
Latin 637
 
3.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 3990
28.3%
천 342
 
2.4%
산 207
 
1.5%
대 206
 
1.5%
가 198
 
1.4%
신 189
 
1.3%
고 176
 
1.2%
동 171
 
1.2%
장 160
 
1.1%
리 158
 
1.1%
Other values (388) 8317
58.9%
Latin
ValueCountFrequency (%)
C 156
24.5%
I 133
20.9%
R 68
10.7%
A 54
 
8.5%
B 33
 
5.2%
M 28
 
4.4%
P 26
 
4.1%
a 19
 
3.0%
p 19
 
3.0%
m 19
 
3.0%
Other values (17) 82
12.9%
Common
ValueCountFrequency (%)
1 558
24.1%
2 474
20.5%
) 283
12.2%
( 282
12.2%
3 186
 
8.0%
- 118
 
5.1%
91
 
3.9%
4 85
 
3.7%
5 55
 
2.4%
6 37
 
1.6%
Other values (11) 142
 
6.1%
Han
ValueCountFrequency (%)
二 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14114
82.7%
ASCII 2948
 
17.3%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 3990
28.3%
천 342
 
2.4%
산 207
 
1.5%
대 206
 
1.5%
가 198
 
1.4%
신 189
 
1.3%
고 176
 
1.2%
동 171
 
1.2%
장 160
 
1.1%
리 158
 
1.1%
Other values (388) 8317
58.9%
ASCII
ValueCountFrequency (%)
1 558
18.9%
2 474
16.1%
) 283
9.6%
( 282
9.6%
3 186
 
6.3%
C 156
 
5.3%
I 133
 
4.5%
- 118
 
4.0%
91
 
3.1%
4 85
 
2.9%
Other values (38) 582
19.7%
CJK
ValueCountFrequency (%)
二 1
100.0%

시설물종별
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
3
1980 
99
1174 
2
508 
1
325 

Length

Max length2
Median length1
Mean length1.294457
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99
2nd row3
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
3 1980
49.7%
99 1174
29.4%
2 508
 
12.7%
1 325
 
8.2%

Length

2024-05-03T19:19:25.495080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:25.844432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1980
49.7%
99 1174
29.4%
2 508
 
12.7%
1 325
 
8.2%

도로종류
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
시도
1894 
지방도
702 
기타
561 
국가지원지방도
414 
일반국도
274 
Other values (2)
 
142

Length

Max length7
Median length2
Mean length2.8332079
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
시도 1894
47.5%
지방도 702
 
17.6%
기타 561
 
14.1%
국가지원지방도 414
 
10.4%
일반국도 274
 
6.9%
군도 141
 
3.5%
고속국도 1
 
< 0.1%

Length

2024-05-03T19:19:26.169801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:26.490491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 1894
47.5%
지방도 702
 
17.6%
기타 561
 
14.1%
국가지원지방도 414
 
10.4%
일반국도 274
 
6.9%
군도 141
 
3.5%
고속국도 1
 
< 0.1%

노선명
Text

Distinct83
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:26.963689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length4.583396
Min length2

Characters and Unicode

Total characters18274
Distinct characters38
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

Unique5 ?
Unique (%)0.1%

Sample

1st row군도
2nd row시도
3rd row시도
4th row시도
5th row국가지원지방도57호선
ValueCountFrequency (%)
시도 1896
47.6%
기타 236
 
5.9%
도시계획도로 195
 
4.9%
군도 141
 
3.5%
국가지원지방도56호선 82
 
2.1%
국가지원지방도23호선 73
 
1.8%
국가지원지방도98호선 72
 
1.8%
지방도309호선 62
 
1.6%
이도 55
 
1.4%
지방도371호선 45
 
1.1%
Other values (73) 1130
28.3%
2024-05-03T19:19:27.730839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 3946
21.6%
시 2091
11.4%
지 1530
 
8.4%
선 1390
 
7.6%
호 1390
 
7.6%
방 1116
 
6.1%
3 1006
 
5.5%
국 689
 
3.8%
원 414
 
2.3%
가 414
 
2.3%
Other values (28) 4288
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14862
81.3%
Decimal Number 3412
 
18.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3946
26.6%
시 2091
14.1%
지 1530
 
10.3%
선 1390
 
9.4%
호 1390
 
9.4%
방 1116
 
7.5%
국 689
 
4.6%
원 414
 
2.8%
가 414
 
2.8%
일 274
 
1.8%
Other values (18) 1608
10.8%
Decimal Number
ValueCountFrequency (%)
3 1006
29.5%
7 380
 
11.1%
8 354
 
10.4%
5 287
 
8.4%
2 276
 
8.1%
1 250
 
7.3%
4 227
 
6.7%
6 216
 
6.3%
9 211
 
6.2%
0 205
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14862
81.3%
Common 3412
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3946
26.6%
시 2091
14.1%
지 1530
 
10.3%
선 1390
 
9.4%
호 1390
 
9.4%
방 1116
 
7.5%
국 689
 
4.6%
원 414
 
2.8%
가 414
 
2.8%
일 274
 
1.8%
Other values (18) 1608
10.8%
Common
ValueCountFrequency (%)
3 1006
29.5%
7 380
 
11.1%
8 354
 
10.4%
5 287
 
8.4%
2 276
 
8.1%
1 250
 
7.3%
4 227
 
6.7%
6 216
 
6.3%
9 211
 
6.2%
0 205
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14862
81.3%
ASCII 3412
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 3946
26.6%
시 2091
14.1%
지 1530
 
10.3%
선 1390
 
9.4%
호 1390
 
9.4%
방 1116
 
7.5%
국 689
 
4.6%
원 414
 
2.8%
가 414
 
2.8%
일 274
 
1.8%
Other values (18) 1608
10.8%
ASCII
ValueCountFrequency (%)
3 1006
29.5%
7 380
 
11.1%
8 354
 
10.4%
5 287
 
8.4%
2 276
 
8.1%
1 250
 
7.3%
4 227
 
6.7%
6 216
 
6.3%
9 211
 
6.2%
0 205
 
6.0%

도로노선번호
Text

Distinct75
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:28.159438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.5076499
Min length1

Characters and Unicode

Total characters6011
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row57
ValueCountFrequency (%)
2596
65.1%
56 82
 
2.1%
23 73
 
1.8%
98 72
 
1.8%
309 62
 
1.6%
371 45
 
1.1%
318 43
 
1.1%
82 41
 
1.0%
3 39
 
1.0%
330 38
 
1.0%
Other values (65) 896
 
22.5%
2024-05-03T19:19:29.018307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2596
43.2%
3 1006
 
16.7%
7 380
 
6.3%
8 354
 
5.9%
5 287
 
4.8%
2 276
 
4.6%
1 251
 
4.2%
4 227
 
3.8%
6 216
 
3.6%
9 211
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3415
56.8%
Dash Punctuation 2596
43.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1006
29.5%
7 380
 
11.1%
8 354
 
10.4%
5 287
 
8.4%
2 276
 
8.1%
1 251
 
7.3%
4 227
 
6.6%
6 216
 
6.3%
9 211
 
6.2%
0 207
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 2596
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6011
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2596
43.2%
3 1006
 
16.7%
7 380
 
6.3%
8 354
 
5.9%
5 287
 
4.8%
2 276
 
4.6%
1 251
 
4.2%
4 227
 
3.8%
6 216
 
3.6%
9 211
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2596
43.2%
3 1006
 
16.7%
7 380
 
6.3%
8 354
 
5.9%
5 287
 
4.8%
2 276
 
4.6%
1 251
 
4.2%
4 227
 
3.8%
6 216
 
3.6%
9 211
 
3.5%

도로방향
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
3
3319 
1
507 
2
 
161

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 3319
83.2%
1 507
 
12.7%
2 161
 
4.0%

Length

2024-05-03T19:19:29.393017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:29.721522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 3319
83.2%
1 507
 
12.7%
2 161
 
4.0%

시도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
경기도
3961 
충청북도
 
26

Length

Max length4
Median length3
Mean length3.0065212
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 3961
99.3%
충청북도 26
 
0.7%

Length

2024-05-03T19:19:30.041271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:30.368442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 3961
99.3%
충청북도 26
 
0.7%

시군구명
Categorical

Distinct44
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
남양주시
287 
용인시 처인구
 
266
여주시
 
228
파주시
 
217
화성시
 
214
Other values (39)
2775 

Length

Max length8
Median length3
Mean length4.3077502
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연천군
2nd row광명시
3rd row김포시
4th row안산시 상록구
5th row광주시

Common Values

ValueCountFrequency (%)
남양주시 287
 
7.2%
용인시 처인구 266
 
6.7%
여주시 228
 
5.7%
파주시 217
 
5.4%
화성시 214
 
5.4%
광주시 183
 
4.6%
안성시 180
 
4.5%
양주시 179
 
4.5%
성남시 분당구 153
 
3.8%
양평군 152
 
3.8%
Other values (34) 1928
48.4%

Length

2024-05-03T19:19:30.732121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용인시 376
 
7.3%
남양주시 287
 
5.6%
처인구 266
 
5.1%
성남시 232
 
4.5%
여주시 228
 
4.4%
파주시 217
 
4.2%
고양시 215
 
4.2%
화성시 214
 
4.1%
광주시 183
 
3.5%
안성시 180
 
3.5%
Other values (40) 2770
53.6%

시군구코드
Real number (ℝ)

Distinct43
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41463.704
Minimum41111
Maximum43112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:31.213790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41111
5-th percentile41133
Q141281
median41461
Q341610
95-th percentile41820
Maximum43112
Range2001
Interquartile range (IQR)329

Descriptive statistics

Standard deviation243.5148
Coefficient of variation (CV)0.0058729629
Kurtosis11.759793
Mean41463.704
Median Absolute Deviation (MAD)169
Skewness1.9423924
Sum1.6531579 × 108
Variance59299.456
MonotonicityNot monotonic
2024-05-03T19:19:31.679146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
41360 287
 
7.2%
41461 270
 
6.8%
41670 228
 
5.7%
41480 217
 
5.4%
41590 214
 
5.4%
41610 183
 
4.6%
41550 180
 
4.5%
41630 179
 
4.5%
41135 153
 
3.8%
41830 152
 
3.8%
Other values (33) 1924
48.3%
ValueCountFrequency (%)
41111 44
 
1.1%
41113 56
 
1.4%
41115 19
 
0.5%
41117 46
 
1.2%
41131 32
 
0.8%
41133 47
 
1.2%
41135 153
3.8%
41150 79
2.0%
41171 57
 
1.4%
41173 18
 
0.5%
ValueCountFrequency (%)
43112 26
 
0.7%
41830 152
3.8%
41820 150
3.8%
41800 59
 
1.5%
41670 228
5.7%
41650 128
3.2%
41630 179
4.5%
41610 183
4.6%
41590 214
5.4%
41570 74
 
1.9%

소재지(도로명)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3987
Missing (%)100.0%
Memory size35.2 KiB

소재지(지번)
Text

Distinct1224
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:32.412665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length14.413093
Min length10

Characters and Unicode

Total characters57465
Distinct characters284
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique449 ?
Unique (%)11.3%

Sample

1st row경기도 연천군 중면 합수리
2nd row경기도 광명시 가학동
3rd row경기도 김포시 통진읍 가현리
4th row경기도 안산시 상록구 본오동
5th row경기도 광주시 오포읍 능평리
ValueCountFrequency (%)
경기도 3961
26.0%
용인시 376
 
2.5%
남양주시 287
 
1.9%
처인구 270
 
1.8%
성남시 232
 
1.5%
여주시 228
 
1.5%
파주시 217
 
1.4%
고양시 215
 
1.4%
화성시 214
 
1.4%
광주시 183
 
1.2%
Other values (1301) 9055
59.4%
2024-05-03T19:19:33.660168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11251
19.6%
도 4189
 
7.3%
기 4051
 
7.0%
경 3966
 
6.9%
시 3769
 
6.6%
동 2223
 
3.9%
리 2124
 
3.7%
면 1503
 
2.6%
양 1341
 
2.3%
구 1248
 
2.2%
Other values (274) 21800
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46213
80.4%
Space Separator 11251
 
19.6%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 4189
 
9.1%
기 4051
 
8.8%
경 3966
 
8.6%
시 3769
 
8.2%
동 2223
 
4.8%
리 2124
 
4.6%
면 1503
 
3.3%
양 1341
 
2.9%
구 1248
 
2.7%
주 1174
 
2.5%
Other values (272) 20625
44.6%
Space Separator
ValueCountFrequency (%)
11251
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46213
80.4%
Common 11252
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 4189
 
9.1%
기 4051
 
8.8%
경 3966
 
8.6%
시 3769
 
8.2%
동 2223
 
4.8%
리 2124
 
4.6%
면 1503
 
3.3%
양 1341
 
2.9%
구 1248
 
2.7%
주 1174
 
2.5%
Other values (272) 20625
44.6%
Common
ValueCountFrequency (%)
11251
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46213
80.4%
ASCII 11252
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11251
> 99.9%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
도 4189
 
9.1%
기 4051
 
8.8%
경 3966
 
8.6%
시 3769
 
8.2%
동 2223
 
4.8%
리 2124
 
4.6%
면 1503
 
3.3%
양 1341
 
2.9%
구 1248
 
2.7%
주 1174
 
2.5%
Other values (272) 20625
44.6%

시작점위도
Real number (ℝ)

ZEROS 

Distinct2771
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.134734
Minimum0
Maximum38.208179
Zeros1206
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:34.156074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37.292506
Q337.605547
95-th percentile37.899146
Maximum38.208179
Range38.208179
Interquartile range (IQR)37.605547

Descriptive statistics

Standard deviation17.21417
Coefficient of variation (CV)0.6586702
Kurtosis-1.2606101
Mean26.134734
Median Absolute Deviation (MAD)0.373821
Skewness-0.85973137
Sum104199.18
Variance296.32766
MonotonicityNot monotonic
2024-05-03T19:19:34.685827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1206
30.2%
37.136941 2
 
0.1%
37.002324 2
 
0.1%
37.307098 2
 
0.1%
37.387965 2
 
0.1%
37.694815 2
 
0.1%
37.691822 2
 
0.1%
37.860217 2
 
0.1%
37.387334 2
 
0.1%
37.221025 2
 
0.1%
Other values (2761) 2763
69.3%
ValueCountFrequency (%)
0.0 1206
30.2%
36.914841 1
 
< 0.1%
36.915232 1
 
< 0.1%
36.926477 1
 
< 0.1%
36.935175 1
 
< 0.1%
36.938028 1
 
< 0.1%
36.938432 1
 
< 0.1%
36.938477 1
 
< 0.1%
36.940395 1
 
< 0.1%
36.941185 1
 
< 0.1%
ValueCountFrequency (%)
38.208179 1
< 0.1%
38.180908 1
< 0.1%
38.180478 1
< 0.1%
38.17989 1
< 0.1%
38.17469 1
< 0.1%
38.161868 1
< 0.1%
38.159854 1
< 0.1%
38.154221 1
< 0.1%
38.14801 1
< 0.1%
38.142233 1
< 0.1%

시작점경도
Real number (ℝ)

ZEROS 

Distinct2766
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.639626
Minimum0
Maximum127.78758
Zeros1206
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:35.169512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126.90734
Q3127.14119
95-th percentile127.50511
Maximum127.78758
Range127.78758
Interquartile range (IQR)127.14119

Descriptive statistics

Standard deviation58.379228
Coefficient of variation (CV)0.6586132
Kurtosis-1.2604598
Mean88.639626
Median Absolute Deviation (MAD)0.301592
Skewness-0.86029734
Sum353406.19
Variance3408.1342
MonotonicityNot monotonic
2024-05-03T19:19:35.857200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1206
30.2%
127.128016 2
 
0.1%
126.739177 2
 
0.1%
127.235715 2
 
0.1%
126.806179 2
 
0.1%
126.75228 2
 
0.1%
127.118752 2
 
0.1%
126.94659 2
 
0.1%
126.759026 2
 
0.1%
126.949046 2
 
0.1%
Other values (2756) 2763
69.3%
ValueCountFrequency (%)
0.0 1206
30.2%
126.529321 1
 
< 0.1%
126.55144 1
 
< 0.1%
126.561908 1
 
< 0.1%
126.562083 1
 
< 0.1%
126.56216 1
 
< 0.1%
126.562343 1
 
< 0.1%
126.570863 1
 
< 0.1%
126.571486 1
 
< 0.1%
126.582528 1
 
< 0.1%
ValueCountFrequency (%)
127.787583 1
< 0.1%
127.780988 1
< 0.1%
127.770902 1
< 0.1%
127.770435 1
< 0.1%
127.768979 1
< 0.1%
127.768612 1
< 0.1%
127.767477 1
< 0.1%
127.765887 1
< 0.1%
127.761612 1
< 0.1%
127.75736 1
< 0.1%

종료점위도
Real number (ℝ)

ZEROS 

Distinct2765
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.125488
Minimum0
Maximum38.208278
Zeros1207
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:36.647329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37.292539
Q337.604962
95-th percentile37.899234
Maximum38.208278
Range38.208278
Interquartile range (IQR)37.604962

Descriptive statistics

Standard deviation17.218308
Coefficient of variation (CV)0.6590617
Kurtosis-1.2628347
Mean26.125488
Median Absolute Deviation (MAD)0.373723
Skewness-0.85843779
Sum104162.32
Variance296.47014
MonotonicityNot monotonic
2024-05-03T19:19:37.397474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1207
30.3%
37.734213 2
 
0.1%
37.389113 2
 
0.1%
37.44815 2
 
0.1%
37.322534 2
 
0.1%
37.388093 2
 
0.1%
37.69441 2
 
0.1%
37.692061 2
 
0.1%
37.216873 2
 
0.1%
37.137459 2
 
0.1%
Other values (2755) 2762
69.3%
ValueCountFrequency (%)
0.0 1207
30.3%
36.915018 1
 
< 0.1%
36.915039 1
 
< 0.1%
36.926596 1
 
< 0.1%
36.935453 1
 
< 0.1%
36.938376 1
 
< 0.1%
36.938778 1
 
< 0.1%
36.939264 1
 
< 0.1%
36.940418 1
 
< 0.1%
36.9417 1
 
< 0.1%
ValueCountFrequency (%)
38.208278 1
< 0.1%
38.180942 1
< 0.1%
38.180165 1
< 0.1%
38.179844 1
< 0.1%
38.174462 1
< 0.1%
38.161784 1
< 0.1%
38.159884 1
< 0.1%
38.154327 1
< 0.1%
38.149217 1
< 0.1%
38.142537 1
< 0.1%

종료점경도
Real number (ℝ)

ZEROS 

Distinct2765
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.607767
Minimum0
Maximum127.78777
Zeros1207
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:37.845819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126.90739
Q3127.1405
95-th percentile127.50418
Maximum127.78777
Range127.78777
Interquartile range (IQR)127.1405

Descriptive statistics

Standard deviation58.392933
Coefficient of variation (CV)0.65900468
Kurtosis-1.2626857
Mean88.607767
Median Absolute Deviation (MAD)0.301623
Skewness-0.85900343
Sum353279.17
Variance3409.7346
MonotonicityNot monotonic
2024-05-03T19:19:38.280315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1207
30.3%
127.315945 2
 
0.1%
127.198477 2
 
0.1%
126.975233 2
 
0.1%
126.805771 2
 
0.1%
127.128113 2
 
0.1%
126.88747 2
 
0.1%
127.118323 2
 
0.1%
126.718131 2
 
0.1%
126.767468 2
 
0.1%
Other values (2755) 2762
69.3%
ValueCountFrequency (%)
0.0 1207
30.3%
126.529385 1
 
< 0.1%
126.551241 1
 
< 0.1%
126.562097 1
 
< 0.1%
126.5622 1
 
< 0.1%
126.562355 1
 
< 0.1%
126.562457 1
 
< 0.1%
126.570857 1
 
< 0.1%
126.571538 1
 
< 0.1%
126.582535 1
 
< 0.1%
ValueCountFrequency (%)
127.787775 1
< 0.1%
127.781787 1
< 0.1%
127.771042 1
< 0.1%
127.770476 1
< 0.1%
127.769355 1
< 0.1%
127.768633 1
< 0.1%
127.767442 1
< 0.1%
127.766 1
< 0.1%
127.762185 1
< 0.1%
127.757912 1
< 0.1%

연장
Real number (ℝ)

Distinct687
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.509606
Minimum3
Maximum1875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:38.749953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q124
median38
Q371
95-th percentile260.21
Maximum1875
Range1872
Interquartile range (IQR)47

Descriptive statistics

Standard deviation118.97384
Coefficient of variation (CV)1.5967584
Kurtosis49.058573
Mean74.509606
Median Absolute Deviation (MAD)18
Skewness5.6930068
Sum297069.8
Variance14154.775
MonotonicityNot monotonic
2024-05-03T19:19:39.320196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 225
 
5.6%
20.0 151
 
3.8%
40.0 130
 
3.3%
50.0 117
 
2.9%
25.0 111
 
2.8%
24.0 99
 
2.5%
60.0 92
 
2.3%
45.0 90
 
2.3%
15.0 87
 
2.2%
36.0 63
 
1.6%
Other values (677) 2822
70.8%
ValueCountFrequency (%)
3.0 2
0.1%
3.5 3
0.1%
3.6 1
 
< 0.1%
3.8 1
 
< 0.1%
4.3 1
 
< 0.1%
4.5 1
 
< 0.1%
4.7 1
 
< 0.1%
4.8 1
 
< 0.1%
4.9 1
 
< 0.1%
5.0 4
0.1%
ValueCountFrequency (%)
1875.0 1
< 0.1%
1590.0 1
< 0.1%
1394.0 1
< 0.1%
1350.0 1
< 0.1%
1280.0 1
< 0.1%
1220.0 2
0.1%
1200.0 1
< 0.1%
1155.0 1
< 0.1%
1127.0 1
< 0.1%
1075.5 1
< 0.1%

총폭
Real number (ℝ)

Distinct369
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.280537
Minimum0
Maximum218
Zeros6
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:39.822754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q320
95-th percentile35
Maximum218
Range218
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.977203
Coefficient of variation (CV)0.71837808
Kurtosis35.88354
Mean15.280537
Median Absolute Deviation (MAD)4.4
Skewness3.3853351
Sum60923.5
Variance120.49898
MonotonicityNot monotonic
2024-05-03T19:19:40.356853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 287
 
7.2%
8.0 204
 
5.1%
11.0 192
 
4.8%
9.0 168
 
4.2%
6.0 150
 
3.8%
5.0 127
 
3.2%
12.0 113
 
2.8%
20.0 109
 
2.7%
7.0 101
 
2.5%
10.5 74
 
1.9%
Other values (359) 2462
61.8%
ValueCountFrequency (%)
0.0 6
0.2%
2.0 2
 
0.1%
2.5 1
 
< 0.1%
3.0 5
0.1%
3.1 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.4 2
 
0.1%
3.5 7
0.2%
3.6 3
0.1%
ValueCountFrequency (%)
218.0 1
< 0.1%
121.5 1
< 0.1%
118.0 1
< 0.1%
101.0 1
< 0.1%
86.4 1
< 0.1%
75.4 1
< 0.1%
70.0 2
0.1%
68.0 1
< 0.1%
65.1 1
< 0.1%
65.0 1
< 0.1%

보도폭
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5337346
Minimum0
Maximum200
Zeros914
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:40.872687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile9
Maximum200
Range200
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.8807714
Coefficient of variation (CV)1.9263152
Kurtosis704.57036
Mean2.5337346
Median Absolute Deviation (MAD)1
Skewness19.48758
Sum10102
Variance23.82193
MonotonicityNot monotonic
2024-05-03T19:19:41.535855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1541
38.7%
0 914
22.9%
2 354
 
8.9%
3 227
 
5.7%
4 189
 
4.7%
5 176
 
4.4%
6 164
 
4.1%
7 100
 
2.5%
8 96
 
2.4%
10 59
 
1.5%
Other values (21) 167
 
4.2%
ValueCountFrequency (%)
0 914
22.9%
1 1541
38.7%
2 354
 
8.9%
3 227
 
5.7%
4 189
 
4.7%
5 176
 
4.4%
6 164
 
4.1%
7 100
 
2.5%
8 96
 
2.4%
9 58
 
1.5%
ValueCountFrequency (%)
200 1
 
< 0.1%
89 1
 
< 0.1%
55 1
 
< 0.1%
49 1
 
< 0.1%
39 1
 
< 0.1%
35 2
0.1%
32 2
0.1%
30 2
0.1%
23 1
 
< 0.1%
21 3
0.1%

높이
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5774517
Minimum0
Maximum73
Zeros431
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:42.151349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.8
median4
Q35.4
95-th percentile10
Maximum73
Range73
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation3.9044355
Coefficient of variation (CV)0.85297143
Kurtosis49.822371
Mean4.5774517
Median Absolute Deviation (MAD)1.3
Skewness4.7586616
Sum18250.3
Variance15.244617
MonotonicityNot monotonic
2024-05-03T19:19:42.854358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 516
12.9%
3.0 497
12.5%
0.0 431
 
10.8%
4.0 349
 
8.8%
2.0 294
 
7.4%
2.5 159
 
4.0%
4.5 141
 
3.5%
6.0 138
 
3.5%
3.5 119
 
3.0%
10.0 109
 
2.7%
Other values (133) 1234
31.0%
ValueCountFrequency (%)
0.0 431
10.8%
1.0 4
 
0.1%
1.2 1
 
< 0.1%
1.5 4
 
0.1%
1.8 5
 
0.1%
1.9 1
 
< 0.1%
2.0 294
7.4%
2.1 10
 
0.3%
2.2 17
 
0.4%
2.3 13
 
0.3%
ValueCountFrequency (%)
73.0 1
 
< 0.1%
50.0 3
0.1%
46.1 1
 
< 0.1%
43.0 1
 
< 0.1%
40.0 1
 
< 0.1%
35.0 1
 
< 0.1%
30.4 1
 
< 0.1%
30.0 5
0.1%
27.4 1
 
< 0.1%
27.0 1
 
< 0.1%

차로수
Real number (ℝ)

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9453223
Minimum0
Maximum10
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:43.706846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7673291
Coefficient of variation (CV)0.60004608
Kurtosis1.9220475
Mean2.9453223
Median Absolute Deviation (MAD)0
Skewness1.4790086
Sum11743
Variance3.1234521
MonotonicityNot monotonic
2024-05-03T19:19:44.277038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 2102
52.7%
4 782
 
19.6%
1 427
 
10.7%
6 300
 
7.5%
3 129
 
3.2%
8 114
 
2.9%
5 65
 
1.6%
7 33
 
0.8%
10 23
 
0.6%
9 11
 
0.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 427
 
10.7%
2 2102
52.7%
3 129
 
3.2%
4 782
 
19.6%
5 65
 
1.6%
6 300
 
7.5%
7 33
 
0.8%
8 114
 
2.9%
9 11
 
0.3%
ValueCountFrequency (%)
10 23
 
0.6%
9 11
 
0.3%
8 114
 
2.9%
7 33
 
0.8%
6 300
 
7.5%
5 65
 
1.6%
4 782
 
19.6%
3 129
 
3.2%
2 2102
52.7%
1 427
 
10.7%

상하행선분리여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3987
Missing (%)100.0%
Memory size35.2 KiB

상부구조
Categorical

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
RC슬래브교
1307 
라멘교
1024 
강박스거더교
408 
PSCI거더교
360 
프리플렉스거더교
230 
Other values (12)
658 

Length

Max length9
Median length8
Mean length5.2641084
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowRCT거더교
2nd rowRC슬래브교
3rd rowPSCI거더교
4th row강박스거더교
5th rowPSCI거더교

Common Values

ValueCountFrequency (%)
RC슬래브교 1307
32.8%
라멘교 1024
25.7%
강박스거더교 408
 
10.2%
PSCI거더교 360
 
9.0%
프리플렉스거더교 230
 
5.8%
기타 227
 
5.7%
RCT거더교 136
 
3.4%
PSC슬래브교 103
 
2.6%
PSC박스거더교 42
 
1.1%
강I거더교 40
 
1.0%
Other values (7) 110
 
2.8%

Length

2024-05-03T19:19:44.936989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rc슬래브교 1307
32.8%
라멘교 1024
25.7%
강박스거더교 408
 
10.2%
psci거더교 360
 
9.0%
프리플렉스거더교 230
 
5.8%
기타 227
 
5.7%
rct거더교 136
 
3.4%
psc슬래브교 103
 
2.6%
psc박스거더교 42
 
1.1%
강i거더교 40
 
1.0%
Other values (7) 110
 
2.8%

준공년도
Real number (ℝ)

Distinct68
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.159
Minimum1947
Maximum2099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:45.600719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1947
5-th percentile1980
Q11993
median2000
Q32008
95-th percentile2017
Maximum2099
Range152
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.203521
Coefficient of variation (CV)0.0066012355
Kurtosis16.15946
Mean2000.159
Median Absolute Deviation (MAD)7
Skewness1.9179566
Sum7974634
Variance174.33296
MonotonicityNot monotonic
2024-05-03T19:19:46.214931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998 199
 
5.0%
1993 193
 
4.8%
2000 172
 
4.3%
2001 163
 
4.1%
1996 163
 
4.1%
1997 159
 
4.0%
1992 156
 
3.9%
2004 138
 
3.5%
1999 133
 
3.3%
1995 129
 
3.2%
Other values (58) 2382
59.7%
ValueCountFrequency (%)
1947 1
 
< 0.1%
1954 1
 
< 0.1%
1958 2
0.1%
1959 2
0.1%
1960 3
0.1%
1961 2
0.1%
1962 2
0.1%
1963 4
0.1%
1964 1
 
< 0.1%
1965 2
0.1%
ValueCountFrequency (%)
2099 22
 
0.6%
2022 9
 
0.2%
2021 19
 
0.5%
2020 20
 
0.5%
2019 26
 
0.7%
2018 64
1.6%
2017 81
2.0%
2016 54
1.4%
2015 61
1.5%
2014 80
2.0%

최종안전점검일자
Text

Distinct214
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:47.206687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters39870
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)1.7%

Sample

1st row2022-12-31
2nd row2022-11-03
3rd row2022-12-29
4th row2022-11-14
5th row2022-09-23
ValueCountFrequency (%)
2022-12-13 309
 
7.8%
2022-12-31 269
 
6.7%
2022-12-21 269
 
6.7%
2022-12-15 203
 
5.1%
2022-12-09 182
 
4.6%
2020-12-15 125
 
3.1%
2022-11-25 120
 
3.0%
2018-12-31 90
 
2.3%
2022-11-26 90
 
2.3%
2022-12-12 87
 
2.2%
Other values (204) 2243
56.3%
2024-05-03T19:19:48.759463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 14802
37.1%
- 7974
20.0%
1 7248
18.2%
0 5776
 
14.5%
3 1239
 
3.1%
9 670
 
1.7%
5 601
 
1.5%
8 554
 
1.4%
6 397
 
1.0%
4 326
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31896
80.0%
Dash Punctuation 7974
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 14802
46.4%
1 7248
22.7%
0 5776
 
18.1%
3 1239
 
3.9%
9 670
 
2.1%
5 601
 
1.9%
8 554
 
1.7%
6 397
 
1.2%
4 326
 
1.0%
7 283
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 7974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 14802
37.1%
- 7974
20.0%
1 7248
18.2%
0 5776
 
14.5%
3 1239
 
3.1%
9 670
 
1.7%
5 601
 
1.5%
8 554
 
1.4%
6 397
 
1.0%
4 326
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 14802
37.1%
- 7974
20.0%
1 7248
18.2%
0 5776
 
14.5%
3 1239
 
3.1%
9 670
 
1.7%
5 601
 
1.5%
8 554
 
1.4%
6 397
 
1.0%
4 326
 
0.8%

최종안전점검등급
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
B
2462 
A
774 
C
520 
<NA>
 
216
D
 
13

Length

Max length4
Median length1
Mean length1.1625282
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
B 2462
61.8%
A 774
 
19.4%
C 520
 
13.0%
<NA> 216
 
5.4%
D 13
 
0.3%
E 2
 
0.1%

Length

2024-05-03T19:19:49.324848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:49.843013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b 2462
61.8%
a 774
 
19.4%
c 520
 
13.0%
na 216
 
5.4%
d 13
 
0.3%
e 2
 
0.1%

점검종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
정기점검
3972 
정밀점검
 
15

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정기점검 3972
99.6%
정밀점검 15
 
0.4%

Length

2024-05-03T19:19:50.482549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:50.841058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기점검 3972
99.6%
정밀점검 15
 
0.4%

내진설계적용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
미적용
3987 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미적용 3987
100.0%

Length

2024-05-03T19:19:51.461442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:51.845639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미적용 3987
100.0%

내진성능확보여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
False
3987 
ValueCountFrequency (%)
False 3987
100.0%
2024-05-03T19:19:52.211002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

교량보수보강내역
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
-
3986 
배수관 재설치, 신축이음 재설치, 정비(청소), 단면보수, 점검로 재설치
 
1

Length

Max length40
Median length1
Mean length1.0097818
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
- 3986
> 99.9%
배수관 재설치, 신축이음 재설치, 정비(청소), 단면보수, 점검로 재설치 1
 
< 0.1%

Length

2024-05-03T19:19:52.639092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:53.009422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3986
99.8%
재설치 3
 
0.1%
배수관 1
 
< 0.1%
신축이음 1
 
< 0.1%
정비(청소 1
 
< 0.1%
단면보수 1
 
< 0.1%
점검로 1
 
< 0.1%

교량보수보강비용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3987
Missing (%)100.0%
Memory size35.2 KiB

설계활하중
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
DB-24
3108 
DB-18
452 
DB-13.5
 
215
미상
 
128
기타
 
61
Other values (4)
 
23

Length

Max length11
Median length5
Mean length4.9944821
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowDB-24
2nd rowDB-24
3rd rowDB-24
4th rowDB-24
5th rowDB-24

Common Values

ValueCountFrequency (%)
DB-24 3108
78.0%
DB-18 452
 
11.3%
DB-13.5 215
 
5.4%
미상 128
 
3.2%
기타 61
 
1.5%
DB-18(성능개선) 18
 
0.5%
KL-510 3
 
0.1%
DB-9 1
 
< 0.1%
T13 또는 D13 1
 
< 0.1%

Length

2024-05-03T19:19:53.421007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:53.979999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
db-24 3108
77.9%
db-18 452
 
11.3%
db-13.5 215
 
5.4%
미상 128
 
3.2%
기타 61
 
1.5%
db-18(성능개선 18
 
0.5%
kl-510 3
 
0.1%
db-9 1
 
< 0.1%
t13 1
 
< 0.1%
또는 1
 
< 0.1%

허용통행하중
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
43.2
3108 
32.4
452 
13.5
 
215
0.0
 
212

Length

Max length4
Median length4
Mean length3.9468272
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row43.2
2nd row43.2
3rd row43.2
4th row43.2
5th row43.2

Common Values

ValueCountFrequency (%)
43.2 3108
78.0%
32.4 452
 
11.3%
13.5 215
 
5.4%
0.0 212
 
5.3%

Length

2024-05-03T19:19:54.514546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:19:54.893161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
43.2 3108
78.0%
32.4 452
 
11.3%
13.5 215
 
5.4%
0.0 212
 
5.3%

하부통과제한높이
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct22
Distinct (%)4.9%
Missing3539
Missing (%)88.8%
Infinite0
Infinite (%)0.0%
Mean24.502232
Minimum0
Maximum8864
Zeros95
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size35.2 KiB
2024-05-03T19:19:55.407256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q35
95-th percentile9.65
Maximum8864
Range8864
Interquartile range (IQR)2

Descriptive statistics

Standard deviation418.62134
Coefficient of variation (CV)17.085029
Kurtosis447.74131
Mean24.502232
Median Absolute Deviation (MAD)1
Skewness21.156928
Sum10977
Variance175243.83
MonotonicityNot monotonic
2024-05-03T19:19:55.844387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 170
 
4.3%
0 95
 
2.4%
4 57
 
1.4%
7 29
 
0.7%
6 26
 
0.7%
3 24
 
0.6%
8 10
 
0.3%
2 7
 
0.2%
9 6
 
0.2%
10 6
 
0.2%
Other values (12) 18
 
0.5%
(Missing) 3539
88.8%
ValueCountFrequency (%)
0 95
2.4%
1 1
 
< 0.1%
2 7
 
0.2%
3 24
 
0.6%
4 57
 
1.4%
5 170
4.3%
6 26
 
0.7%
7 29
 
0.7%
8 10
 
0.3%
9 6
 
0.2%
ValueCountFrequency (%)
8864 1
 
< 0.1%
131 1
 
< 0.1%
48 1
 
< 0.1%
22 1
 
< 0.1%
20 3
0.1%
16 1
 
< 0.1%
15 2
0.1%
14 1
 
< 0.1%
13 3
0.1%
12 2
0.1%

관리기관
Text

Distinct52
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:56.292028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length7.0647103
Min length6

Characters and Unicode

Total characters28167
Distinct characters72
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 연천군
2nd row경기 시흥시
3rd row경기 김포시
4th row경기 안산시상록구
5th row경기 광주시
ValueCountFrequency (%)
경기 3987
50.0%
도로건설과 445
 
5.6%
북부도로과 312
 
3.9%
남양주시 255
 
3.2%
고양시 202
 
2.5%
용인시처인구 200
 
2.5%
여주시 178
 
2.2%
광주시 168
 
2.1%
화성시 150
 
1.9%
성남시 146
 
1.8%
Other values (43) 1931
24.2%
2024-05-03T19:19:57.299928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 4098
14.5%
경 4075
14.5%
3987
14.2%
시 3019
 
10.7%
주 854
 
3.0%
도 845
 
3.0%
로 843
 
3.0%
과 775
 
2.8%
양 744
 
2.6%
구 647
 
2.3%
Other values (62) 8280
29.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24053
85.4%
Space Separator 3987
 
14.2%
Other Symbol 90
 
0.3%
Decimal Number 37
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4098
17.0%
경 4075
16.9%
시 3019
 
12.6%
주 854
 
3.6%
도 845
 
3.5%
로 843
 
3.5%
과 775
 
3.2%
양 744
 
3.1%
구 647
 
2.7%
남 561
 
2.3%
Other values (59) 7592
31.6%
Space Separator
ValueCountFrequency (%)
3987
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 90
100.0%
Decimal Number
ValueCountFrequency (%)
3 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24143
85.7%
Common 4024
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4098
17.0%
경 4075
16.9%
시 3019
 
12.5%
주 854
 
3.5%
도 845
 
3.5%
로 843
 
3.5%
과 775
 
3.2%
양 744
 
3.1%
구 647
 
2.7%
남 561
 
2.3%
Other values (60) 7682
31.8%
Common
ValueCountFrequency (%)
3987
99.1%
3 37
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24053
85.4%
ASCII 4024
 
14.3%
None 90
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 4098
17.0%
경 4075
16.9%
시 3019
 
12.6%
주 854
 
3.6%
도 845
 
3.5%
로 843
 
3.5%
과 775
 
3.2%
양 744
 
3.1%
구 647
 
2.7%
남 561
 
2.3%
Other values (59) 7592
31.6%
ASCII
ValueCountFrequency (%)
3987
99.1%
3 37
 
0.9%
None
ValueCountFrequency (%)
㈜ 90
100.0%

기관연락처
Text

Distinct52
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
2024-05-03T19:19:57.983608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.373464
Min length12

Characters and Unicode

Total characters49333
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-839-2853
2nd row031-310-2438
3rd row031-980-2347
4th row031-481-5592
5th row031-760-4496
ValueCountFrequency (%)
031-8008-5872 445
 
11.2%
031-8008-8322 312
 
7.8%
031-590-2425 255
 
6.4%
031-8075-2863 202
 
5.1%
031-324-5433 200
 
5.0%
031-887-2435 178
 
4.5%
031-760-4496 168
 
4.2%
031-5189-2466 150
 
3.8%
031-729-4935 146
 
3.7%
031-940-5701 127
 
3.2%
Other values (42) 1804
45.2%
2024-05-03T19:19:59.073672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7974
16.2%
0 7524
15.3%
3 6869
13.9%
8 5153
10.4%
2 5005
10.1%
1 4742
9.6%
4 3676
7.5%
5 2653
 
5.4%
7 2295
 
4.7%
6 1855
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41359
83.8%
Dash Punctuation 7974
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7524
18.2%
3 6869
16.6%
8 5153
12.5%
2 5005
12.1%
1 4742
11.5%
4 3676
8.9%
5 2653
 
6.4%
7 2295
 
5.5%
6 1855
 
4.5%
9 1587
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 7974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7974
16.2%
0 7524
15.3%
3 6869
13.9%
8 5153
10.4%
2 5005
10.1%
1 4742
9.6%
4 3676
7.5%
5 2653
 
5.4%
7 2295
 
4.7%
6 1855
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7974
16.2%
0 7524
15.3%
3 6869
13.9%
8 5153
10.4%
2 5005
10.1%
1 4742
9.6%
4 3676
7.5%
5 2653
 
5.4%
7 2295
 
4.7%
6 1855
 
3.8%

작성기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.3 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2024-05-03T19:19:59.594632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:19:59.969150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

교량명시설물종별도로종류노선명도로노선번호도로방향시도명시군구명시군구코드소재지(도로명)소재지(지번)시작점위도시작점경도종료점위도종료점경도연장총폭보도폭높이차로수상하행선분리여부상부구조준공년도최종안전점검일자최종안전점검등급점검종류내진설계적용여부내진성능확보여부교량보수보강내역교량보수보강비용설계활하중허용통행하중하부통과제한높이관리기관기관연락처작성기준일
0백세교99군도군도-3경기도연천군41800<NA>경기도 연천군 중면 합수리38.142233127.03229138.142537127.03228950.09.015.02<NA>RCT거더교20042022-12-31<NA>정기점검미적용N-<NA>DB-2443.2<NA>경기 연천군031-839-28532022-12-31
1가학2교3시도시도-3경기도광명시41210<NA>경기도 광명시 가학동0.00.00.00.041.424.014.06<NA>RC슬래브교19932022-11-03C정기점검미적용N-<NA>DB-2443.2<NA>경기 시흥시031-310-24382022-12-31
2가현교3시도시도-3경기도김포시41570<NA>경기도 김포시 통진읍 가현리37.675203126.59796537.675636126.59797647.08.013.52<NA>PSCI거더교19982022-12-29B정기점검미적용N-<NA>DB-2443.2<NA>경기 김포시031-980-23472022-12-31
3각골고가차도1시도시도-3경기도안산시 상록구41271<NA>경기도 안산시 상록구 본오동37.287611126.87074837.289985126.874657215.016.918.54<NA>강박스거더교20052022-11-14A정기점검미적용N-<NA>DB-2443.26경기 안산시상록구031-481-55922022-12-31
4능평램프C교2국가지원지방도국가지원지방도57호선571경기도광주시41610<NA>경기도 광주시 오포읍 능평리37.346243127.18375337.34571127.184869120.07.517.01<NA>PSCI거더교20072022-09-23C정기점검미적용N-<NA>DB-2443.27경기 광주시031-760-44962022-12-31
5우만고가교1일반국도일반국도42호선423경기도수원시 팔달구41115<NA>경기도 수원시 팔달구 우만동37.2761127.03756437.279481127.037427380.017.008.64<NA>강박스거더교20042022-12-13A정기점검미적용N-<NA>DB-2443.2<NA>경기 수원시팔달구031-228-74682022-12-31
6멱절2교3지방도지방도357호선3573경기도고양시 일산서구41287<NA>경기도 고양시 일산서구 대화동37.659104126.73547337.659184126.73594635.032.507.36<NA>RC박스거더교20152022-11-28B정기점검미적용N-<NA>DB-2443.2<NA>경기 고양시031-8075-28632022-12-31
7옥구12교1지방도지방도301호선3013경기도시흥시41390<NA>경기도 시흥시 정왕동37.320599126.69365737.320357126.69411580.033.4102.56<NA>사장교20162022-05-01A정기점검미적용N-<NA>DB-2443.23경기 시흥시031-310-24382022-12-31
8안곡교99국가지원지방도국가지원지방도86호선861경기도남양주시41360<NA>경기도 남양주시 일패동37.625901127.1865137.625998127.1865615.94.912.01<NA>RC슬래브교19702022-12-31<NA>정기점검미적용N-<NA>DB-13.513.5<NA>경기 남양주시031-590-24252022-12-31
9현수교3지방도지방도325호선3253경기도안성시41550<NA>경기도 안성시 현수동36.999674127.28603836.999621127.28626622.011.012.02<NA>라멘교19972022-11-25B정기점검미적용N-<NA>DB-2443.2<NA>경기 안성시031-678-27622022-12-31
교량명시설물종별도로종류노선명도로노선번호도로방향시도명시군구명시군구코드소재지(도로명)소재지(지번)시작점위도시작점경도종료점위도종료점경도연장총폭보도폭높이차로수상하행선분리여부상부구조준공년도최종안전점검일자최종안전점검등급점검종류내진설계적용여부내진성능확보여부교량보수보강내역교량보수보강비용설계활하중허용통행하중하부통과제한높이관리기관기관연락처작성기준일
3977신촌교13국가지원지방도국가지원지방도98호선983경기도남양주시41360<NA>경기도 남양주시 수동면 입석리37.69418127.34177837.693929127.34242964.011.044.02<NA>RC슬래브교19982022-12-09B정기점검미적용N-<NA>DB-2443.2<NA>경기 북부도로과031-8008-83222022-12-31
3978내리교99시도시도-3경기도화성시41590<NA>경기도 화성시 봉담읍 내리37.237769126.92366837.23783126.92387915.052.0325.04<NA>RC박스거더교20172017-12-31A정밀점검미적용N-<NA>DB-2443.2<NA>경기 화성시031-5189-24662022-12-31
3979포리2교3일반국도일반국도39호선393경기도시흥시41390<NA>경기도 시흥시 미산동37.40475126.79017837.404961126.7901124.043.0104.08<NA>RC슬래브교19902022-11-03B정기점검미적용N-<NA>DB-2443.2<NA>경기 시흥시031-310-24382022-12-31
3980포일교3시도시도-3경기도의왕시41430<NA>경기도 의왕시 포일동37.392358126.98466737.392381126.98546386.025.096.05<NA>RC슬래브교19892022-11-19B정기점검미적용N-<NA>DB-2443.24경기 의왕시031-345-33922022-12-31
3981하동교99지방도지방도315호선3153경기도용인시 기흥구41463<NA>경기도 용인시 기흥구 지곡동37.255228127.12543237.255062127.12610838.021.715.54<NA>RC슬래브교20002019-12-18B정기점검미적용N-<NA>DB-2443.2<NA>경기 용인시기흥구031-324-64062022-12-31
3982하동교3시도시도-3경기도의정부시41150<NA>경기도 의정부시 녹양동0.00.00.00.070.035.0104.08<NA>RC슬래브교19912022-11-07C정기점검미적용N-<NA>DB-2443.2<NA>경기 의정부시031-828-86322022-12-31
3983사직1교99시도시도-3경기도포천시41650<NA>경기도 포천시 일동면 사직리0.00.00.00.014.010.814.62<NA>라멘교19682022-12-31<NA>정기점검미적용N-<NA>미상0.0<NA>경기 포천시031-538-24242022-12-31
3984청계교99지방도지방도387호선3873경기도포천시41650<NA>경기도 포천시 일동면 기산리37.951854127.32704137.952023127.32718630.022.053.04<NA>라멘교20092019-07-31B정기점검미적용N-<NA>DB-2443.2<NA>경기 포천시031-538-24242022-12-31
3985신발교3기타기타-3경기도남양주시41360<NA>경기도 남양주시 수동면 송천리0.00.00.00.066.06.700.02<NA>RC슬래브교20002022-12-15B정기점검미적용N-<NA>DB-2443.2<NA>경기 남양주시031-590-24252022-12-31
3986회룡3교3시도시도-3경기도의정부시41150<NA>경기도 의정부시 호원동0.00.00.00.020.010.013.02<NA>프리플렉스거더교20042022-11-07B정기점검미적용N-<NA>DB-2443.2<NA>경기 의정부시031-828-86322022-12-31