Overview

Dataset statistics

Number of variables62
Number of observations471
Missing cells480
Missing cells (%)1.6%
Duplicate rows3
Duplicate rows (%)0.6%
Total size in memory244.8 KiB
Average record size in memory532.3 B

Variable types

Categorical35
Text3
Unsupported1
Numeric23

Alerts

관리기관 has constant value ""Constant
상부공-주형간격 has constant value ""Constant
상부공-주형높이 has constant value ""Constant
하부공-교대날개벽총면적 has constant value ""Constant
교대 치수 has constant value ""Constant
상부공 주형폭 has constant value ""Constant
교각 치수 has constant value ""Constant
Dataset has 3 (0.6%) duplicate rowsDuplicates
교량종류 is highly imbalanced (83.6%)Imbalance
구조물등급 is highly imbalanced (85.4%)Imbalance
종별 is highly imbalanced (91.4%)Imbalance
횡단시설명 is highly imbalanced (67.7%)Imbalance
일반제원-행제한높이 is highly imbalanced (96.2%)Imbalance
일반제원-경간장 is highly imbalanced (97.2%)Imbalance
상부구조형식 is highly imbalanced (72.0%)Imbalance
상부공-상판보도두께 is highly imbalanced (95.8%)Imbalance
상부공-상판재료 is highly imbalanced (64.0%)Imbalance
상부공-이음장치형식 is highly imbalanced (56.3%)Imbalance
하부공-교각형식 is highly imbalanced (57.9%)Imbalance
하부공-교각매립깊이 is highly imbalanced (97.8%)Imbalance
하부공-교각기초형식 is highly imbalanced (87.8%)Imbalance
하부공-교각총높이 is highly imbalanced (90.5%)Imbalance
하부공-교대형식 is highly imbalanced (88.3%)Imbalance
하부공-교대기초형식 is highly imbalanced (90.2%)Imbalance
하부공-교대총높이 is highly imbalanced (95.1%)Imbalance
받침-종류 is highly imbalanced (97.8%)Imbalance
관리자 has 471 (100.0%) missing valuesMissing
관리자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
왕복차로수 has 19 (4.0%) zerosZeros
일반제원-용통행하중 has 379 (80.5%) zerosZeros
일반제원-교장 has 407 (86.4%) zerosZeros
일반제원-경간수 has 192 (40.8%) zerosZeros
일반제원-총폭원 has 16 (3.4%) zerosZeros
일반제원-유효폭원 has 101 (21.4%) zerosZeros
일반제원-최대경간장 has 436 (92.6%) zerosZeros
상부공-상판차도두께 has 435 (92.4%) zerosZeros
상부공-차도폭 has 9 (1.9%) zerosZeros
상부공-보도폭 has 393 (83.4%) zerosZeros
상부공-난간높이 has 112 (23.8%) zerosZeros
상부공-난간폭 has 125 (26.5%) zerosZeros
상부공-난간총연장 has 162 (34.4%) zerosZeros
상부공-이음장치수량 has 368 (78.1%) zerosZeros
하부공-교각수 has 362 (76.9%) zerosZeros
조명시설-수량 has 442 (93.8%) zerosZeros
받침-수량 has 425 (90.2%) zerosZeros
교명주-수량 has 309 (65.6%) zerosZeros
배수구-총수량 has 341 (72.4%) zerosZeros
평수위고 has 436 (92.6%) zerosZeros

Reproduction

Analysis started2024-01-09 20:17:01.865052
Analysis finished2024-01-09 20:17:02.577508
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정읍/면/동
Categorical

Distinct16
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
배방읍
51 
도고면
51 
송악면
49 
영인면
48 
음봉면
46 
Other values (11)
226 

Length

Max length4
Median length3
Mean length3.1019108
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배방읍
2nd row배방읍
3rd row배방읍
4th row배방읍
5th row온양3동

Common Values

ValueCountFrequency (%)
배방읍 51
10.8%
도고면 51
10.8%
송악면 49
10.4%
영인면 48
10.2%
음봉면 46
9.8%
둔포면 39
8.3%
염치읍 38
8.1%
선장면 31
6.6%
신창면 27
5.7%
인주면 24
 
5.1%
Other values (6) 67
14.2%

Length

2024-01-10T05:17:02.633538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
배방읍 51
10.8%
도고면 51
10.8%
송악면 49
10.4%
영인면 48
10.2%
음봉면 46
9.8%
둔포면 39
8.3%
염치읍 38
8.1%
선장면 31
6.6%
신창면 27
5.7%
인주면 24
 
5.1%
Other values (6) 67
14.2%

법정읍/면/동
Text

Distinct131
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:17:03.093156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.5732484
Min length2

Characters and Unicode

Total characters3096
Distinct characters127
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

Unique33 ?
Unique (%)7.0%

Sample

1st row배방읍 북수리
2nd row배방읍 장재리
3rd row배방읍 휴대리
4th row배방읍 세교리
5th row권곡동
ValueCountFrequency (%)
배방읍 53
 
5.9%
도고면 51
 
5.7%
송악면 49
 
5.5%
영인면 48
 
5.4%
음봉면 46
 
5.1%
둔포면 39
 
4.4%
염치읍 38
 
4.3%
선장면 31
 
3.5%
신창면 27
 
3.0%
인주면 24
 
2.7%
Other values (129) 488
54.6%
2024-01-10T05:17:03.523879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
 
13.7%
리 423
 
13.7%
면 335
 
10.8%
신 95
 
3.1%
읍 94
 
3.0%
인 74
 
2.4%
동 71
 
2.3%
송 63
 
2.0%
방 61
 
2.0%
포 58
 
1.9%
Other values (117) 1399
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2673
86.3%
Space Separator 423
 
13.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 423
 
15.8%
면 335
 
12.5%
신 95
 
3.6%
읍 94
 
3.5%
인 74
 
2.8%
동 71
 
2.7%
송 63
 
2.4%
방 61
 
2.3%
포 58
 
2.2%
봉 58
 
2.2%
Other values (116) 1341
50.2%
Space Separator
ValueCountFrequency (%)
423
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2673
86.3%
Common 423
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 423
 
15.8%
면 335
 
12.5%
신 95
 
3.6%
읍 94
 
3.5%
인 74
 
2.8%
동 71
 
2.7%
송 63
 
2.4%
방 61
 
2.3%
포 58
 
2.2%
봉 58
 
2.2%
Other values (116) 1341
50.2%
Common
ValueCountFrequency (%)
423
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2673
86.3%
ASCII 423
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
100.0%
Hangul
ValueCountFrequency (%)
리 423
 
15.8%
면 335
 
12.5%
신 95
 
3.6%
읍 94
 
3.5%
인 74
 
2.8%
동 71
 
2.7%
송 63
 
2.4%
방 61
 
2.3%
포 58
 
2.2%
봉 58
 
2.2%
Other values (116) 1341
50.2%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
도로과
471 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로과 471
100.0%

Length

2024-01-10T05:17:03.693360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:03.779951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로과 471
100.0%

관리자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing471
Missing (%)100.0%
Memory size4.3 KiB

교량형태
Categorical

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
도개교(Draw/Bascule)
214 
스라브(RC 콘크리트)
198 
미분류
24 
인도교(Foot bridge)
 
19
기타
 
13
Other values (2)
 
3

Length

Max length17
Median length16
Mean length13.687898
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row스라브(RC 콘크리트)
2nd row스라브(RC 콘크리트)
3rd row스라브(RC 콘크리트)
4th row스라브(RC 콘크리트)
5th row스라브(RC 콘크리트)

Common Values

ValueCountFrequency (%)
도개교(Draw/Bascule) 214
45.4%
스라브(RC 콘크리트) 198
42.0%
미분류 24
 
5.1%
인도교(Foot bridge) 19
 
4.0%
기타 13
 
2.8%
아치형(Arch) 2
 
0.4%
상로교/노선교(Deck) 1
 
0.2%

Length

2024-01-10T05:17:03.872046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:03.967956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도개교(draw/bascule 214
31.1%
스라브(rc 198
28.8%
콘크리트 198
28.8%
미분류 24
 
3.5%
인도교(foot 19
 
2.8%
bridge 19
 
2.8%
기타 13
 
1.9%
아치형(arch 2
 
0.3%
상로교/노선교(deck 1
 
0.1%

교량종류
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
철근콘크리트교
445 
기타
 
18
미분류
 
4
미가설교
 
3
강교
 
1

Length

Max length7
Median length7
Mean length6.7452229
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
철근콘크리트교 445
94.5%
기타 18
 
3.8%
미분류 4
 
0.8%
미가설교 3
 
0.6%
강교 1
 
0.2%

Length

2024-01-10T05:17:04.091043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:04.193813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철근콘크리트교 445
94.5%
기타 18
 
3.8%
미분류 4
 
0.8%
미가설교 3
 
0.6%
강교 1
 
0.2%

교량명
Text

Distinct211
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-01-10T05:17:04.450042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.3205945
Min length2

Characters and Unicode

Total characters1564
Distinct characters163
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)36.9%

Sample

1st row북수교
2nd row무명교
3rd row휴대교
4th row무명교
5th row샛들다리
ValueCountFrequency (%)
무명교 213
45.2%
동화교 5
 
1.1%
삼거교 4
 
0.8%
서원교 3
 
0.6%
오목2교 3
 
0.6%
기산교 3
 
0.6%
신휴교 3
 
0.6%
둔포교 3
 
0.6%
철봉육교 3
 
0.6%
관대교 3
 
0.6%
Other values (201) 228
48.4%
2024-01-10T05:17:04.805146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 464
29.7%
명 221
14.1%
무 220
14.1%
2 33
 
2.1%
산 30
 
1.9%
신 24
 
1.5%
1 24
 
1.5%
동 17
 
1.1%
육 16
 
1.0%
봉 12
 
0.8%
Other values (153) 503
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1484
94.9%
Decimal Number 63
 
4.0%
Uppercase Letter 10
 
0.6%
Other Punctuation 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 464
31.3%
명 221
14.9%
무 220
14.8%
산 30
 
2.0%
신 24
 
1.6%
동 17
 
1.1%
육 16
 
1.1%
봉 12
 
0.8%
리 12
 
0.8%
선 11
 
0.7%
Other values (139) 457
30.8%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
I 3
30.0%
J 1
 
10.0%
A 1
 
10.0%
B 1
 
10.0%
K 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 33
52.4%
1 24
38.1%
3 4
 
6.3%
4 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1484
94.9%
Common 70
 
4.5%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 464
31.3%
명 221
14.9%
무 220
14.8%
산 30
 
2.0%
신 24
 
1.6%
동 17
 
1.1%
육 16
 
1.1%
봉 12
 
0.8%
리 12
 
0.8%
선 11
 
0.7%
Other values (139) 457
30.8%
Common
ValueCountFrequency (%)
2 33
47.1%
1 24
34.3%
/ 4
 
5.7%
3 4
 
5.7%
4 2
 
2.9%
( 1
 
1.4%
) 1
 
1.4%
- 1
 
1.4%
Latin
ValueCountFrequency (%)
C 3
30.0%
I 3
30.0%
J 1
 
10.0%
A 1
 
10.0%
B 1
 
10.0%
K 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1484
94.9%
ASCII 80
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 464
31.3%
명 221
14.9%
무 220
14.8%
산 30
 
2.0%
신 24
 
1.6%
동 17
 
1.1%
육 16
 
1.1%
봉 12
 
0.8%
리 12
 
0.8%
선 11
 
0.7%
Other values (139) 457
30.8%
ASCII
ValueCountFrequency (%)
2 33
41.2%
1 24
30.0%
/ 4
 
5.0%
3 4
 
5.0%
C 3
 
3.8%
I 3
 
3.8%
4 2
 
2.5%
( 1
 
1.2%
) 1
 
1.2%
- 1
 
1.2%
Other values (4) 4
 
5.0%

구조물등급
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
452 
A등급
 
11
GRD000
 
7
기타
 
1

Length

Max length6
Median length3
Mean length3.0424628
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 452
96.0%
A등급 11
 
2.3%
GRD000 7
 
1.5%
기타 1
 
0.2%

Length

2024-01-10T05:17:04.926100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:05.014364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 452
96.0%
a등급 11
 
2.3%
grd000 7
 
1.5%
기타 1
 
0.2%

종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
460 
1종
 
6
2종
 
2
일반
 
2
기타
 
1

Length

Max length3
Median length3
Mean length2.9766454
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 460
97.7%
1종 6
 
1.3%
2종 2
 
0.4%
일반 2
 
0.4%
기타 1
 
0.2%

Length

2024-01-10T05:17:05.099893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:05.178664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 460
97.7%
1종 6
 
1.3%
2종 2
 
0.4%
일반 2
 
0.4%
기타 1
 
0.2%

총연장
Real number (ℝ)

Distinct285
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.524246
Minimum0
Maximum600
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:05.274395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4
Q18
median15.9
Q333.31
95-th percentile81.79
Maximum600
Range600
Interquartile range (IQR)25.31

Descriptive statistics

Standard deviation51.950313
Coefficient of variation (CV)1.7595814
Kurtosis50.688801
Mean29.524246
Median Absolute Deviation (MAD)10
Skewness6.3219742
Sum13905.92
Variance2698.8351
MonotonicityNot monotonic
2024-01-10T05:17:05.398968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 13
 
2.8%
30.0 10
 
2.1%
7.0 8
 
1.7%
20.0 7
 
1.5%
40.0 6
 
1.3%
8.0 6
 
1.3%
11.0 6
 
1.3%
17.0 6
 
1.3%
9.6 6
 
1.3%
6.0 6
 
1.3%
Other values (275) 397
84.3%
ValueCountFrequency (%)
0.0 1
 
0.2%
1.64 1
 
0.2%
2.0 1
 
0.2%
2.33 1
 
0.2%
2.4 1
 
0.2%
2.5 2
 
0.4%
2.6 2
 
0.4%
2.7 1
 
0.2%
2.8 1
 
0.2%
3.0 5
1.1%
ValueCountFrequency (%)
600.0 1
0.2%
440.0 1
0.2%
399.4 1
0.2%
338.2 1
0.2%
324.6 1
0.2%
276.0 1
0.2%
257.0 1
0.2%
256.5 1
0.2%
240.0 1
0.2%
160.4 1
0.2%

횡단시설명
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
하천
393 
일반도로
60 
기타
 
11
철도
 
4
미분류
 
2

Length

Max length6
Median length2
Mean length2.2675159
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row일반도로
2nd row하천
3rd row하천
4th row하천
5th row하천

Common Values

ValueCountFrequency (%)
하천 393
83.4%
일반도로 60
 
12.7%
기타 11
 
2.3%
철도 4
 
0.8%
미분류 2
 
0.4%
MFA006 1
 
0.2%

Length

2024-01-10T05:17:05.517588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:05.609448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하천 393
83.4%
일반도로 60
 
12.7%
기타 11
 
2.3%
철도 4
 
0.8%
미분류 2
 
0.4%
mfa006 1
 
0.2%

왕복차로수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0042463
Minimum0
Maximum8
Zeros19
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:05.690381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4410335
Coefficient of variation (CV)0.71899025
Kurtosis3.8705613
Mean2.0042463
Median Absolute Deviation (MAD)1
Skewness1.7362576
Sum944
Variance2.0765777
MonotonicityNot monotonic
2024-01-10T05:17:05.782594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 191
40.6%
2 168
35.7%
4 74
 
15.7%
0 19
 
4.0%
8 8
 
1.7%
6 6
 
1.3%
5 3
 
0.6%
3 2
 
0.4%
ValueCountFrequency (%)
0 19
 
4.0%
1 191
40.6%
2 168
35.7%
3 2
 
0.4%
4 74
 
15.7%
5 3
 
0.6%
6 6
 
1.3%
8 8
 
1.7%
ValueCountFrequency (%)
8 8
 
1.7%
6 6
 
1.3%
5 3
 
0.6%
4 74
 
15.7%
3 2
 
0.4%
2 168
35.7%
1 191
40.6%
0 19
 
4.0%

일반제원-설계하중
Categorical

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
193 
DB24
158 
DB13 또는 5
56 
DB18
46 
T13 또는 D13
 
10
Other values (5)
 
8

Length

Max length10
Median length9
Mean length4.3545648
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st rowDB24
2nd row미분류
3rd rowDB24
4th row미분류
5th rowDB24

Common Values

ValueCountFrequency (%)
미분류 193
41.0%
DB24 158
33.5%
DB13 또는 5 56
 
11.9%
DB18 46
 
9.8%
T13 또는 D13 10
 
2.1%
T9 또는 D9 3
 
0.6%
기타 2
 
0.4%
T12 또는 D12 1
 
0.2%
T6 또는 D6 1
 
0.2%
WWG024 1
 
0.2%

Length

2024-01-10T05:17:05.899469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:06.006275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 193
31.5%
db24 158
25.8%
또는 71
 
11.6%
db13 56
 
9.1%
5 56
 
9.1%
db18 46
 
7.5%
t13 10
 
1.6%
d13 10
 
1.6%
t9 3
 
0.5%
d9 3
 
0.5%
Other values (6) 7
 
1.1%

일반제원-용통행하중
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3910828
Minimum0
Maximum50
Zeros379
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:06.121783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32.45
Maximum50
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.780003
Coefficient of variation (CV)2.1850904
Kurtosis3.3502259
Mean5.3910828
Median Absolute Deviation (MAD)0
Skewness2.0973241
Sum2539.2
Variance138.76847
MonotonicityNot monotonic
2024-01-10T05:17:06.213766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 379
80.5%
24.0 44
 
9.3%
18.0 16
 
3.4%
43.0 13
 
2.8%
40.0 4
 
0.8%
43.2 3
 
0.6%
27.0 3
 
0.6%
50.0 2
 
0.4%
12.0 2
 
0.4%
48.2 1
 
0.2%
Other values (4) 4
 
0.8%
ValueCountFrequency (%)
0.0 379
80.5%
10.0 1
 
0.2%
12.0 2
 
0.4%
18.0 16
 
3.4%
18.5 1
 
0.2%
24.0 44
 
9.3%
27.0 3
 
0.6%
32.4 1
 
0.2%
32.5 1
 
0.2%
40.0 4
 
0.8%
ValueCountFrequency (%)
50.0 2
 
0.4%
48.2 1
 
0.2%
43.2 3
 
0.6%
43.0 13
 
2.8%
40.0 4
 
0.8%
32.5 1
 
0.2%
32.4 1
 
0.2%
27.0 3
 
0.6%
24.0 44
9.3%
18.5 1
 
0.2%

일반제원-행제한높이
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
467 
4.8
 
1
11.0
 
1
9.5
 
1
19.5
 
1

Length

Max length4
Median length3
Mean length3.0042463
Min length3

Unique

Unique4 ?
Unique (%)0.8%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 467
99.2%
4.8 1
 
0.2%
11.0 1
 
0.2%
9.5 1
 
0.2%
19.5 1
 
0.2%

Length

2024-01-10T05:17:06.330943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:06.419353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 467
99.2%
4.8 1
 
0.2%
11.0 1
 
0.2%
9.5 1
 
0.2%
19.5 1
 
0.2%

일반제원-교장
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8136518
Minimum0
Maximum256.5
Zeros407
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:06.519151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile34.91
Maximum256.5
Range256.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.1787
Coefficient of variation (CV)4.1919734
Kurtosis92.200466
Mean4.8136518
Median Absolute Deviation (MAD)0
Skewness8.4652764
Sum2267.23
Variance407.17994
MonotonicityNot monotonic
2024-01-10T05:17:06.635399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 407
86.4%
40.0 3
 
0.6%
32.0 2
 
0.4%
11.5 2
 
0.4%
10.0 2
 
0.4%
20.29 2
 
0.4%
44.97 1
 
0.2%
19.93 1
 
0.2%
19.85 1
 
0.2%
16.0 1
 
0.2%
Other values (49) 49
 
10.4%
ValueCountFrequency (%)
0.0 407
86.4%
1.64 1
 
0.2%
2.33 1
 
0.2%
2.4 1
 
0.2%
6.14 1
 
0.2%
7.0 1
 
0.2%
8.72 1
 
0.2%
9.0 1
 
0.2%
9.3 1
 
0.2%
10.0 2
 
0.4%
ValueCountFrequency (%)
256.5 1
0.2%
240.0 1
0.2%
105.0 1
0.2%
83.97 1
0.2%
82.68 1
0.2%
71.3 1
0.2%
64.0 1
0.2%
54.69 1
0.2%
49.5 1
0.2%
48.0 1
0.2%

일반제원-경간장
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
469 
13.5
 
1
2.0
 
1

Length

Max length4
Median length3
Mean length3.0021231
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 469
99.6%
13.5 1
 
0.2%
2.0 1
 
0.2%

Length

2024-01-10T05:17:06.737876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:06.815323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 469
99.6%
13.5 1
 
0.2%
2.0 1
 
0.2%

일반제원-경간수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2080679
Minimum0
Maximum19
Zeros192
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:06.891639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8734479
Coefficient of variation (CV)1.5507803
Kurtosis23.618702
Mean1.2080679
Median Absolute Deviation (MAD)1
Skewness3.8936508
Sum569
Variance3.5098071
MonotonicityNot monotonic
2024-01-10T05:17:06.988040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 192
40.8%
1 163
34.6%
2 56
 
11.9%
3 26
 
5.5%
4 14
 
3.0%
5 5
 
1.1%
8 4
 
0.8%
6 4
 
0.8%
10 3
 
0.6%
9 2
 
0.4%
Other values (2) 2
 
0.4%
ValueCountFrequency (%)
0 192
40.8%
1 163
34.6%
2 56
 
11.9%
3 26
 
5.5%
4 14
 
3.0%
5 5
 
1.1%
6 4
 
0.8%
8 4
 
0.8%
9 2
 
0.4%
10 3
 
0.6%
ValueCountFrequency (%)
19 1
 
0.2%
12 1
 
0.2%
10 3
 
0.6%
9 2
 
0.4%
8 4
 
0.8%
6 4
 
0.8%
5 5
 
1.1%
4 14
 
3.0%
3 26
5.5%
2 56
11.9%

일반제원-총폭원
Real number (ℝ)

ZEROS 

Distinct218
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.175244
Minimum0
Maximum60.7
Zeros16
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:07.122122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.05
Q15.6
median8.4
Q313.075
95-th percentile28.65
Maximum60.7
Range60.7
Interquartile range (IQR)7.475

Descriptive statistics

Standard deviation8.5616582
Coefficient of variation (CV)0.76612717
Kurtosis3.760826
Mean11.175244
Median Absolute Deviation (MAD)3.16
Skewness1.7171237
Sum5263.54
Variance73.301991
MonotonicityNot monotonic
2024-01-10T05:17:07.256148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 16
 
3.4%
9.0 16
 
3.4%
6.0 16
 
3.4%
8.0 15
 
3.2%
11.0 15
 
3.2%
10.0 14
 
3.0%
5.0 14
 
3.0%
19.5 12
 
2.5%
4.6 9
 
1.9%
9.5 8
 
1.7%
Other values (208) 336
71.3%
ValueCountFrequency (%)
0.0 16
3.4%
1.4 1
 
0.2%
2.0 1
 
0.2%
2.5 1
 
0.2%
2.6 1
 
0.2%
2.8 1
 
0.2%
2.88 1
 
0.2%
3.0 2
 
0.4%
3.1 2
 
0.4%
3.16 2
 
0.4%
ValueCountFrequency (%)
60.7 1
 
0.2%
45.0 1
 
0.2%
43.6 1
 
0.2%
42.0 1
 
0.2%
41.2 1
 
0.2%
40.9 1
 
0.2%
36.4 3
0.6%
35.9 1
 
0.2%
35.76 1
 
0.2%
35.0 1
 
0.2%

일반제원-유효폭원
Real number (ℝ)

ZEROS 

Distinct171
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7425053
Minimum0
Maximum60.7
Zeros101
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:07.399321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.4
median6.4
Q310.26
95-th percentile27.55
Maximum60.7
Range60.7
Interquartile range (IQR)6.86

Descriptive statistics

Standard deviation8.9573293
Coefficient of variation (CV)1.0245724
Kurtosis3.9034324
Mean8.7425053
Median Absolute Deviation (MAD)3.6
Skewness1.7491332
Sum4117.72
Variance80.233749
MonotonicityNot monotonic
2024-01-10T05:17:07.546543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
 
21.4%
5.0 16
 
3.4%
9.0 13
 
2.8%
4.0 13
 
2.8%
8.0 10
 
2.1%
10.0 10
 
2.1%
6.0 10
 
2.1%
5.4 9
 
1.9%
7.0 8
 
1.7%
20.0 7
 
1.5%
Other values (161) 274
58.2%
ValueCountFrequency (%)
0.0 101
21.4%
1.0 1
 
0.2%
2.0 1
 
0.2%
2.5 1
 
0.2%
2.6 2
 
0.4%
2.8 1
 
0.2%
3.0 5
 
1.1%
3.1 2
 
0.4%
3.16 1
 
0.2%
3.3 2
 
0.4%
ValueCountFrequency (%)
60.7 1
0.2%
43.84 1
0.2%
43.0 1
0.2%
41.2 1
0.2%
40.0 1
0.2%
35.8 1
0.2%
35.76 1
0.2%
35.74 1
0.2%
35.73 1
0.2%
35.57 1
0.2%

일반제원-최대경간장
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4303397
Minimum0
Maximum256.5
Zeros436
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:07.692921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.11
Maximum256.5
Range256.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.26739
Coefficient of variation (CV)5.6167584
Kurtosis113.65464
Mean3.4303397
Median Absolute Deviation (MAD)0
Skewness9.7142007
Sum1615.69
Variance371.2323
MonotonicityNot monotonic
2024-01-10T05:17:07.804697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 436
92.6%
20.29 2
 
0.4%
32.0 2
 
0.4%
40.0 2
 
0.4%
11.21 1
 
0.2%
13.0 1
 
0.2%
22.47 1
 
0.2%
23.0 1
 
0.2%
71.3 1
 
0.2%
75.0 1
 
0.2%
Other values (23) 23
 
4.9%
ValueCountFrequency (%)
0.0 436
92.6%
1.64 1
 
0.2%
2.4 1
 
0.2%
6.14 1
 
0.2%
8.72 1
 
0.2%
10.37 1
 
0.2%
11.21 1
 
0.2%
13.0 1
 
0.2%
14.11 1
 
0.2%
15.0 1
 
0.2%
ValueCountFrequency (%)
256.5 1
0.2%
240.0 1
0.2%
105.0 1
0.2%
82.68 1
0.2%
75.0 1
0.2%
71.3 1
0.2%
49.5 1
0.2%
48.0 1
0.2%
47.63 1
0.2%
46.94 1
0.2%

상부구조형식
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
391 
RC 슬래브교
44 
PC 박스형교
 
24
라멘교
 
3
강판형교
 
2
Other values (6)
 
7

Length

Max length9
Median length3
Mean length3.626327
Min length2

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 391
83.0%
RC 슬래브교 44
 
9.3%
PC 박스형교 24
 
5.1%
라멘교 3
 
0.6%
강판형교 2
 
0.4%
RC 박스형교 2
 
0.4%
PC 공중슬래브교 1
 
0.2%
기타 1
 
0.2%
강박스형교 1
 
0.2%
RC 공중슬래브교 1
 
0.2%

Length

2024-01-10T05:17:07.921340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미분류 391
72.0%
rc 47
 
8.7%
슬래브교 44
 
8.1%
박스형교 26
 
4.8%
pc 25
 
4.6%
라멘교 3
 
0.6%
강판형교 2
 
0.4%
공중슬래브교 2
 
0.4%
기타 1
 
0.2%
강박스형교 1
 
0.2%

하부구조형식
Categorical

Distinct10
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
벽식
138 
미분류
120 
라멘식
65 
반중력식
58 
T형 교각식
36 
Other values (5)
54 

Length

Max length6
Median length4
Mean length3.0382166
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
벽식 138
29.3%
미분류 120
25.5%
라멘식 65
13.8%
반중력식 58
12.3%
T형 교각식 36
 
7.6%
중력식 28
 
5.9%
기타 16
 
3.4%
아치식 5
 
1.1%
구주식 3
 
0.6%
V형 교각식 2
 
0.4%

Length

2024-01-10T05:17:08.042664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:08.152548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벽식 138
27.1%
미분류 120
23.6%
라멘식 65
12.8%
반중력식 58
11.4%
교각식 38
 
7.5%
t형 36
 
7.1%
중력식 28
 
5.5%
기타 16
 
3.1%
아치식 5
 
1.0%
구주식 3
 
0.6%

상부공-주형간격
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:08.266611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:08.339290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

상부공-주형높이
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:08.418076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:08.495805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

상부공-상판차도두께
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.036518047
Minimum0
Maximum1
Zeros435
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:08.560457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13893125
Coefficient of variation (CV)3.8044546
Kurtosis19.252969
Mean0.036518047
Median Absolute Deviation (MAD)0
Skewness4.2606588
Sum17.2
Variance0.019301893
MonotonicityNot monotonic
2024-01-10T05:17:08.644941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 435
92.4%
0.3 16
 
3.4%
0.5 9
 
1.9%
0.6 4
 
0.8%
0.8 3
 
0.6%
1.0 2
 
0.4%
0.7 1
 
0.2%
0.4 1
 
0.2%
ValueCountFrequency (%)
0.0 435
92.4%
0.3 16
 
3.4%
0.4 1
 
0.2%
0.5 9
 
1.9%
0.6 4
 
0.8%
0.7 1
 
0.2%
0.8 3
 
0.6%
1.0 2
 
0.4%
ValueCountFrequency (%)
1.0 2
 
0.4%
0.8 3
 
0.6%
0.7 1
 
0.2%
0.6 4
 
0.8%
0.5 9
 
1.9%
0.4 1
 
0.2%
0.3 16
 
3.4%
0.0 435
92.4%

상부공-상판보도두께
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
467 
0.3
 
2
1.4
 
1
0.8
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 467
99.2%
0.3 2
 
0.4%
1.4 1
 
0.2%
0.8 1
 
0.2%

Length

2024-01-10T05:17:08.737035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:08.815535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 467
99.2%
0.3 2
 
0.4%
1.4 1
 
0.2%
0.8 1
 
0.2%

상부공-차도폭
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.144565
Minimum0
Maximum60.7
Zeros9
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:08.913370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.25
Q15.2
median7.6
Q311
95-th percentile26.25
Maximum60.7
Range60.7
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation7.7851553
Coefficient of variation (CV)0.76742132
Kurtosis6.0916736
Mean10.144565
Median Absolute Deviation (MAD)2.6
Skewness2.1174996
Sum4778.09
Variance60.608643
MonotonicityNot monotonic
2024-01-10T05:17:09.250279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 23
 
4.9%
8.0 17
 
3.6%
4.0 16
 
3.4%
6.0 16
 
3.4%
10.0 13
 
2.8%
9.0 13
 
2.8%
7.0 11
 
2.3%
6.4 10
 
2.1%
0.0 9
 
1.9%
11.0 8
 
1.7%
Other values (217) 335
71.1%
ValueCountFrequency (%)
0.0 9
1.9%
2.5 1
 
0.2%
2.6 1
 
0.2%
2.8 1
 
0.2%
2.88 1
 
0.2%
3.0 7
1.5%
3.1 2
 
0.4%
3.16 1
 
0.2%
3.2 1
 
0.2%
3.3 1
 
0.2%
ValueCountFrequency (%)
60.7 1
0.2%
46.7 1
0.2%
40.6 1
0.2%
40.0 1
0.2%
37.0 1
0.2%
35.9 1
0.2%
35.74 1
0.2%
35.73 1
0.2%
35.57 1
0.2%
35.03 1
0.2%

상부공-보도폭
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68825902
Minimum0
Maximum19.6
Zeros393
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:09.359077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.925
Maximum19.6
Range19.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0619965
Coefficient of variation (CV)2.9959601
Kurtosis23.216193
Mean0.68825902
Median Absolute Deviation (MAD)0
Skewness4.2442446
Sum324.17
Variance4.2518297
MonotonicityNot monotonic
2024-01-10T05:17:09.484608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 393
83.4%
2.0 6
 
1.3%
3.0 5
 
1.1%
3.6 3
 
0.6%
6.0 3
 
0.6%
0.6 3
 
0.6%
1.0 3
 
0.6%
3.5 3
 
0.6%
5.0 2
 
0.4%
8.0 2
 
0.4%
Other values (47) 48
 
10.2%
ValueCountFrequency (%)
0.0 393
83.4%
0.37 1
 
0.2%
0.5 1
 
0.2%
0.59 1
 
0.2%
0.6 3
 
0.6%
0.61 1
 
0.2%
0.7 1
 
0.2%
0.8 1
 
0.2%
1.0 3
 
0.6%
1.2 1
 
0.2%
ValueCountFrequency (%)
19.6 1
0.2%
12.43 1
0.2%
12.4 1
0.2%
9.7 1
0.2%
9.5 1
0.2%
9.4 1
0.2%
9.05 1
0.2%
8.82 1
0.2%
8.53 1
0.2%
8.5 1
0.2%

상부공-상판재료
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
386 
현장타설콘크리트바닥판
72 
기타
 
5
UTY011
 
5
강상판
 
3

Length

Max length11
Median length3
Mean length4.2441614
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 386
82.0%
현장타설콘크리트바닥판 72
 
15.3%
기타 5
 
1.1%
UTY011 5
 
1.1%
강상판 3
 
0.6%

Length

2024-01-10T05:17:09.609747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:09.693040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 386
82.0%
현장타설콘크리트바닥판 72
 
15.3%
기타 5
 
1.1%
uty011 5
 
1.1%
강상판 3
 
0.6%

상부공-난간재료
Categorical

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
알루미늄합금
183 
미분류
110 
콘크리트(방호벽)
68 
강재(강재파이프)
59 
기타
 
17
Other values (3)
34 

Length

Max length9
Median length6
Mean length5.7664544
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row알루미늄합금
2nd row철제
3rd row철제
4th row알루미늄합금
5th row알루미늄합금

Common Values

ValueCountFrequency (%)
알루미늄합금 183
38.9%
미분류 110
23.4%
콘크리트(방호벽) 68
 
14.4%
강재(강재파이프) 59
 
12.5%
기타 17
 
3.6%
철제 15
 
3.2%
가드레일 14
 
3.0%
스테인레스 5
 
1.1%

Length

2024-01-10T05:17:09.799301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:09.908744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
알루미늄합금 183
38.9%
미분류 110
23.4%
콘크리트(방호벽 68
 
14.4%
강재(강재파이프 59
 
12.5%
기타 17
 
3.6%
철제 15
 
3.2%
가드레일 14
 
3.0%
스테인레스 5
 
1.1%

상부공-난간높이
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63804671
Minimum0
Maximum2.2
Zeros112
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:10.030457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median0.7
Q31
95-th percentile1.2
Maximum2.2
Range2.2
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.44988557
Coefficient of variation (CV)0.70509818
Kurtosis-0.9837747
Mean0.63804671
Median Absolute Deviation (MAD)0.4
Skewness-0.14816143
Sum300.52
Variance0.20239703
MonotonicityNot monotonic
2024-01-10T05:17:10.129514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 112
23.8%
0.8 54
11.5%
1.2 49
10.4%
1.0 45
9.6%
0.6 36
 
7.6%
1.1 33
 
7.0%
0.7 31
 
6.6%
0.9 22
 
4.7%
0.3 16
 
3.4%
0.2 15
 
3.2%
Other values (17) 58
12.3%
ValueCountFrequency (%)
0.0 112
23.8%
0.1 1
 
0.2%
0.15 2
 
0.4%
0.2 15
 
3.2%
0.25 1
 
0.2%
0.3 16
 
3.4%
0.35 1
 
0.2%
0.4 14
 
3.0%
0.45 1
 
0.2%
0.5 4
 
0.8%
ValueCountFrequency (%)
2.2 1
 
0.2%
1.9 1
 
0.2%
1.5 2
 
0.4%
1.3 10
 
2.1%
1.2 49
10.4%
1.15 3
 
0.6%
1.1 33
7.0%
1.05 2
 
0.4%
1.0 45
9.6%
0.9 22
4.7%

상부공-난간폭
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2385138
Minimum0
Maximum10
Zeros125
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:10.225471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.3
95-th percentile0.525
Maximum10
Range10
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.5670993
Coefficient of variation (CV)2.3776373
Kurtosis209.76715
Mean0.2385138
Median Absolute Deviation (MAD)0.1
Skewness13.315491
Sum112.34
Variance0.32160162
MonotonicityNot monotonic
2024-01-10T05:17:10.322733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 125
26.5%
0.2 96
20.4%
0.3 75
15.9%
0.1 49
 
10.4%
0.4 32
 
6.8%
0.15 19
 
4.0%
0.25 15
 
3.2%
0.5 15
 
3.2%
0.7 7
 
1.5%
0.6 6
 
1.3%
Other values (16) 32
 
6.8%
ValueCountFrequency (%)
0.0 125
26.5%
0.05 2
 
0.4%
0.07 3
 
0.6%
0.1 49
 
10.4%
0.13 1
 
0.2%
0.15 19
 
4.0%
0.16 1
 
0.2%
0.18 6
 
1.3%
0.2 96
20.4%
0.23 2
 
0.4%
ValueCountFrequency (%)
10.0 1
 
0.2%
6.0 1
 
0.2%
2.5 1
 
0.2%
1.5 1
 
0.2%
1.0 4
0.8%
0.8 1
 
0.2%
0.7 7
1.5%
0.65 1
 
0.2%
0.6 6
1.3%
0.55 1
 
0.2%

상부공-난간총연장
Real number (ℝ)

ZEROS 

Distinct241
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.7631
Minimum0
Maximum900
Zeros162
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:10.426101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.8
Q346.65
95-th percentile127
Maximum900
Range900
Interquartile range (IQR)46.65

Descriptive statistics

Standard deviation81.975029
Coefficient of variation (CV)2.1147697
Kurtosis46.055575
Mean38.7631
Median Absolute Deviation (MAD)17.8
Skewness5.9597361
Sum18257.42
Variance6719.9054
MonotonicityNot monotonic
2024-01-10T05:17:10.548290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 162
34.4%
30.0 8
 
1.7%
40.0 8
 
1.7%
18.0 7
 
1.5%
90.0 6
 
1.3%
23.0 4
 
0.8%
5.0 4
 
0.8%
28.0 4
 
0.8%
10.0 3
 
0.6%
16.0 3
 
0.6%
Other values (231) 262
55.6%
ValueCountFrequency (%)
0.0 162
34.4%
1.02 1
 
0.2%
1.11 1
 
0.2%
1.2 1
 
0.2%
1.3 1
 
0.2%
1.64 1
 
0.2%
2.41 1
 
0.2%
3.2 2
 
0.4%
3.5 1
 
0.2%
3.6 1
 
0.2%
ValueCountFrequency (%)
900.0 1
0.2%
676.4 1
0.2%
649.2 1
0.2%
552.0 1
0.2%
534.0 1
0.2%
420.8 1
0.2%
330.0 1
0.2%
300.0 1
0.2%
267.5 1
0.2%
241.3 1
0.2%

상부공-이음장치형식
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
362 
기타
47 
강핑거죠인트
 
17
ACE 죠인트
 
15
맹죠인트
 
14
Other values (3)
 
16

Length

Max length14
Median length3
Mean length3.433121
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 362
76.9%
기타 47
 
10.0%
강핑거죠인트 17
 
3.6%
ACE 죠인트 15
 
3.2%
맹죠인트 14
 
3.0%
Transflex 죠인트 10
 
2.1%
줄눈판죠인트 5
 
1.1%
마게바(Mageba)죠인트 1
 
0.2%

Length

2024-01-10T05:17:10.650387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:10.748985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 362
73.0%
기타 47
 
9.5%
죠인트 25
 
5.0%
강핑거죠인트 17
 
3.4%
ace 15
 
3.0%
맹죠인트 14
 
2.8%
transflex 10
 
2.0%
줄눈판죠인트 5
 
1.0%
마게바(mageba)죠인트 1
 
0.2%

상부공-이음장치수량
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85987261
Minimum0
Maximum72
Zeros368
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:10.855038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4613593
Coefficient of variation (CV)5.1883956
Kurtosis188.21486
Mean0.85987261
Median Absolute Deviation (MAD)0
Skewness13.036525
Sum405
Variance19.903727
MonotonicityNot monotonic
2024-01-10T05:17:10.964788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 368
78.1%
2 80
 
17.0%
3 6
 
1.3%
4 5
 
1.1%
5 4
 
0.8%
6 3
 
0.6%
56 1
 
0.2%
8 1
 
0.2%
24 1
 
0.2%
72 1
 
0.2%
ValueCountFrequency (%)
0 368
78.1%
2 80
 
17.0%
3 6
 
1.3%
4 5
 
1.1%
5 4
 
0.8%
6 3
 
0.6%
8 1
 
0.2%
9 1
 
0.2%
24 1
 
0.2%
56 1
 
0.2%
ValueCountFrequency (%)
72 1
 
0.2%
56 1
 
0.2%
24 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
6 3
 
0.6%
5 4
 
0.8%
4 5
 
1.1%
3 6
 
1.3%
2 80
17.0%

하부공-교각형식
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
356 
라멘식
 
28
벽식
 
26
T형교각식
 
24
중력식
 
13
Other values (6)
 
24

Length

Max length6
Median length3
Mean length3.0403397
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 356
75.6%
라멘식 28
 
5.9%
벽식 26
 
5.5%
T형교각식 24
 
5.1%
중력식 13
 
2.8%
기타 12
 
2.5%
반중력식 6
 
1.3%
아치식 3
 
0.6%
목조식 1
 
0.2%
구주식 1
 
0.2%

Length

2024-01-10T05:17:11.108535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미분류 356
75.6%
라멘식 28
 
5.9%
벽식 26
 
5.5%
t형교각식 24
 
5.1%
중력식 13
 
2.8%
기타 12
 
2.5%
반중력식 6
 
1.3%
아치식 3
 
0.6%
목조식 1
 
0.2%
구주식 1
 
0.2%

하부공-교각수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49893843
Minimum0
Maximum10
Zeros362
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:11.228874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0475396
Coefficient of variation (CV)2.0995369
Kurtosis18.284243
Mean0.49893843
Median Absolute Deviation (MAD)0
Skewness3.2316021
Sum235
Variance1.0973393
MonotonicityNot monotonic
2024-01-10T05:17:11.336312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 362
76.9%
2 91
 
19.3%
1 9
 
1.9%
3 3
 
0.6%
4 3
 
0.6%
7 1
 
0.2%
6 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
0 362
76.9%
1 9
 
1.9%
2 91
 
19.3%
3 3
 
0.6%
4 3
 
0.6%
6 1
 
0.2%
7 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
10 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
4 3
 
0.6%
3 3
 
0.6%
2 91
 
19.3%
1 9
 
1.9%
0 362
76.9%

하부공-교각매립깊이
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
470 
0.8
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 470
99.8%
0.8 1
 
0.2%

Length

2024-01-10T05:17:11.447893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:11.538523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 470
99.8%
0.8 1
 
0.2%

하부공-교각기초형식
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
449 
RC 말뚝기초
 
13
기타
 
2
KOB000
 
2
직접기초
 
2
Other values (3)
 
3

Length

Max length7
Median length3
Mean length3.1443737
Min length2

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 449
95.3%
RC 말뚝기초 13
 
2.8%
기타 2
 
0.4%
KOB000 2
 
0.4%
직접기초 2
 
0.4%
PC 말뚝기초 1
 
0.2%
강재말뚝기초 1
 
0.2%
FXT000 1
 
0.2%

Length

2024-01-10T05:17:11.645258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:11.738478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 449
92.6%
말뚝기초 14
 
2.9%
rc 13
 
2.7%
기타 2
 
0.4%
kob000 2
 
0.4%
직접기초 2
 
0.4%
pc 1
 
0.2%
강재말뚝기초 1
 
0.2%
fxt000 1
 
0.2%

하부공-교각총높이
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
460 
2.5
 
7
2.0
 
2
3.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 460
97.7%
2.5 7
 
1.5%
2.0 2
 
0.4%
3.0 2
 
0.4%

Length

2024-01-10T05:17:11.832517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:11.908706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 460
97.7%
2.5 7
 
1.5%
2.0 2
 
0.4%
3.0 2
 
0.4%

하부공-교대형식
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
454 
반중력식
 
6
중력식
 
4
기타
 
3
역T형
 
3

Length

Max length4
Median length3
Mean length3.0063694
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 454
96.4%
반중력식 6
 
1.3%
중력식 4
 
0.8%
기타 3
 
0.6%
역T형 3
 
0.6%
박스식 1
 
0.2%

Length

2024-01-10T05:17:12.009409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:12.111501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 454
96.4%
반중력식 6
 
1.3%
중력식 4
 
0.8%
기타 3
 
0.6%
역t형 3
 
0.6%
박스식 1
 
0.2%

하부공-교대기초형식
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
457 
RC 말뚝기초
 
5
기타
 
4
직접기초
 
3
PC 말뚝기초
 
1

Length

Max length7
Median length3
Mean length3.0552017
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 457
97.0%
RC 말뚝기초 5
 
1.1%
기타 4
 
0.8%
직접기초 3
 
0.6%
PC 말뚝기초 1
 
0.2%
KDT000 1
 
0.2%

Length

2024-01-10T05:17:12.215167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:12.311212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 457
95.8%
말뚝기초 6
 
1.3%
rc 5
 
1.0%
기타 4
 
0.8%
직접기초 3
 
0.6%
pc 1
 
0.2%
kdt000 1
 
0.2%

하부공-교대총높이
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0.0
467 
0.5
 
3
0.8
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 467
99.2%
0.5 3
 
0.6%
0.8 1
 
0.2%

Length

2024-01-10T05:17:12.411006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:12.487680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 467
99.2%
0.5 3
 
0.6%
0.8 1
 
0.2%

하부공-교대날개벽종류
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
옹벽
300 
<NA>
104 
0
67 

Length

Max length4
Median length2
Mean length2.2993631
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옹벽 300
63.7%
<NA> 104
 
22.1%
0 67
 
14.2%

Length

2024-01-10T05:17:12.580863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:12.671987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옹벽 300
63.7%
na 104
 
22.1%
0 67
 
14.2%

하부공-교대날개벽총면적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:12.763086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:12.848569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

조명시설-종류
Categorical

Distinct16
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
110 
세종대 대형
70 
원통형
53 
세종형대형
40 
교명주
39 
Other values (11)
159 

Length

Max length7
Median length6
Mean length3.4203822
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 110
23.4%
세종대 대형 70
14.9%
원통형 53
11.3%
세종형대형 40
 
8.5%
교명주 39
 
8.3%
세종로 33
 
7.0%
이미지형 31
 
6.6%
가로등 19
 
4.0%
세종대형 18
 
3.8%
가오스형 16
 
3.4%
Other values (6) 42
 
8.9%

Length

2024-01-10T05:17:12.956220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 110
20.3%
세종대 70
12.9%
대형 70
12.9%
원통형 53
9.8%
세종형대형 40
 
7.4%
교명주 39
 
7.2%
세종로 33
 
6.1%
이미지형 31
 
5.7%
가로등 19
 
3.5%
세종대형 18
 
3.3%
Other values (7) 58
10.7%

조명시설-수량
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51804671
Minimum0
Maximum66
Zeros442
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:13.070129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.5
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.574614
Coefficient of variation (CV)6.900177
Kurtosis242.67573
Mean0.51804671
Median Absolute Deviation (MAD)0
Skewness13.995674
Sum244
Variance12.777865
MonotonicityNot monotonic
2024-01-10T05:17:13.179378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 442
93.8%
1 5
 
1.1%
4 5
 
1.1%
8 4
 
0.8%
2 4
 
0.8%
13 2
 
0.4%
12 2
 
0.4%
14 2
 
0.4%
16 1
 
0.2%
66 1
 
0.2%
Other values (3) 3
 
0.6%
ValueCountFrequency (%)
0 442
93.8%
1 5
 
1.1%
2 4
 
0.8%
3 1
 
0.2%
4 5
 
1.1%
6 1
 
0.2%
8 4
 
0.8%
10 1
 
0.2%
12 2
 
0.4%
13 2
 
0.4%
ValueCountFrequency (%)
66 1
 
0.2%
16 1
 
0.2%
14 2
 
0.4%
13 2
 
0.4%
12 2
 
0.4%
10 1
 
0.2%
8 4
0.8%
6 1
 
0.2%
4 5
1.1%
3 1
 
0.2%

받침-수량
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7346072
Minimum0
Maximum66
Zeros425
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:13.297236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.310416
Coefficient of variation (CV)4.2144504
Kurtosis35.176345
Mean1.7346072
Median Absolute Deviation (MAD)0
Skewness5.5626268
Sum817
Variance53.442183
MonotonicityNot monotonic
2024-01-10T05:17:13.413900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 425
90.2%
2 8
 
1.7%
12 4
 
0.8%
4 3
 
0.6%
8 3
 
0.6%
10 3
 
0.6%
24 3
 
0.6%
16 2
 
0.4%
20 2
 
0.4%
36 2
 
0.4%
Other values (15) 16
 
3.4%
ValueCountFrequency (%)
0 425
90.2%
1 1
 
0.2%
2 8
 
1.7%
4 3
 
0.6%
6 1
 
0.2%
8 3
 
0.6%
9 1
 
0.2%
10 3
 
0.6%
12 4
 
0.8%
15 2
 
0.4%
ValueCountFrequency (%)
66 1
0.2%
60 1
0.2%
56 1
0.2%
48 1
0.2%
40 1
0.2%
36 2
0.4%
35 1
0.2%
30 1
0.2%
26 1
0.2%
25 1
0.2%

받침-종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
470 
기타
 
1

Length

Max length3
Median length3
Mean length2.9978769
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 470
99.8%
기타 1
 
0.2%

Length

2024-01-10T05:17:13.513881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:13.589802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 470
99.8%
기타 1
 
0.2%

교명주-수량
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1974522
Minimum0
Maximum6
Zeros309
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:13.657533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.750767
Coefficient of variation (CV)1.4620767
Kurtosis-1.0284271
Mean1.1974522
Median Absolute Deviation (MAD)0
Skewness0.90224753
Sum564
Variance3.065185
MonotonicityNot monotonic
2024-01-10T05:17:13.742078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 309
65.6%
4 117
 
24.8%
2 28
 
5.9%
1 8
 
1.7%
3 7
 
1.5%
6 1
 
0.2%
5 1
 
0.2%
ValueCountFrequency (%)
0 309
65.6%
1 8
 
1.7%
2 28
 
5.9%
3 7
 
1.5%
4 117
 
24.8%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 117
 
24.8%
3 7
 
1.5%
2 28
 
5.9%
1 8
 
1.7%
0 309
65.6%

교명주-재질
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
미분류
281 
주철
85 
기타
52 
석재
51 
<NA>
 
1

Length

Max length6
Median length3
Mean length2.6093418
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 281
59.7%
주철 85
 
18.0%
기타 52
 
11.0%
석재 51
 
10.8%
<NA> 1
 
0.2%
PAD000 1
 
0.2%

Length

2024-01-10T05:17:13.845195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:13.933044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 281
59.7%
주철 85
 
18.0%
기타 52
 
11.0%
석재 51
 
10.8%
na 1
 
0.2%
pad000 1
 
0.2%

배수구-총수량
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6772824
Minimum0
Maximum120
Zeros341
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:14.023530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum120
Range120
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.1995001
Coefficient of variation (CV)3.0626206
Kurtosis99.542984
Mean2.6772824
Median Absolute Deviation (MAD)0
Skewness8.3316162
Sum1261
Variance67.231802
MonotonicityNot monotonic
2024-01-10T05:17:14.118000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 341
72.4%
4 43
 
9.1%
8 19
 
4.0%
6 16
 
3.4%
2 12
 
2.5%
12 9
 
1.9%
10 5
 
1.1%
14 5
 
1.1%
24 4
 
0.8%
22 2
 
0.4%
Other values (10) 15
 
3.2%
ValueCountFrequency (%)
0 341
72.4%
1 2
 
0.4%
2 12
 
2.5%
4 43
 
9.1%
6 16
 
3.4%
8 19
 
4.0%
9 1
 
0.2%
10 5
 
1.1%
12 9
 
1.9%
14 5
 
1.1%
ValueCountFrequency (%)
120 1
 
0.2%
64 1
 
0.2%
56 1
 
0.2%
32 2
0.4%
26 1
 
0.2%
24 4
0.8%
22 2
0.4%
20 2
0.4%
18 2
0.4%
16 2
0.4%

라벨
Text

Distinct176
Distinct (%)37.4%
Missing1
Missing (%)0.2%
Memory size3.8 KiB
2024-01-10T05:17:14.356124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4170213
Min length2

Characters and Unicode

Total characters1606
Distinct characters145
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)18.3%

Sample

1st row북수교
2nd row무명교
3rd row휴대교
4th row무명교
5th row샛들다리
ValueCountFrequency (%)
무명교 16
 
3.4%
기산교 15
 
3.2%
득산교 13
 
2.8%
점촌교 12
 
2.6%
관대교 12
 
2.6%
북수교 10
 
2.1%
서원교 10
 
2.1%
산남2육교 8
 
1.7%
노성교 8
 
1.7%
삼거교 8
 
1.7%
Other values (166) 358
76.2%
2024-01-10T05:17:14.722119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 460
28.6%
산 88
 
5.5%
2 48
 
3.0%
신 36
 
2.2%
1 33
 
2.1%
동 33
 
2.1%
육 24
 
1.5%
기 24
 
1.5%
거 23
 
1.4%
선 22
 
1.4%
Other values (135) 815
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1497
93.2%
Decimal Number 99
 
6.2%
Uppercase Letter 7
 
0.4%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 460
30.7%
산 88
 
5.9%
신 36
 
2.4%
동 33
 
2.2%
육 24
 
1.6%
기 24
 
1.6%
거 23
 
1.5%
선 22
 
1.5%
리 21
 
1.4%
원 21
 
1.4%
Other values (122) 745
49.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
I 1
14.3%
C 1
14.3%
J 1
14.3%
B 1
14.3%
K 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 48
48.5%
1 33
33.3%
3 13
 
13.1%
4 5
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1497
93.2%
Common 102
 
6.4%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 460
30.7%
산 88
 
5.9%
신 36
 
2.4%
동 33
 
2.2%
육 24
 
1.6%
기 24
 
1.6%
거 23
 
1.5%
선 22
 
1.5%
리 21
 
1.4%
원 21
 
1.4%
Other values (122) 745
49.8%
Common
ValueCountFrequency (%)
2 48
47.1%
1 33
32.4%
3 13
 
12.7%
4 5
 
4.9%
- 1
 
1.0%
) 1
 
1.0%
( 1
 
1.0%
Latin
ValueCountFrequency (%)
A 2
28.6%
I 1
14.3%
C 1
14.3%
J 1
14.3%
B 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1497
93.2%
ASCII 109
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 460
30.7%
산 88
 
5.9%
신 36
 
2.4%
동 33
 
2.2%
육 24
 
1.6%
기 24
 
1.6%
거 23
 
1.5%
선 22
 
1.5%
리 21
 
1.4%
원 21
 
1.4%
Other values (122) 745
49.8%
ASCII
ValueCountFrequency (%)
2 48
44.0%
1 33
30.3%
3 13
 
11.9%
4 5
 
4.6%
A 2
 
1.8%
I 1
 
0.9%
C 1
 
0.9%
J 1
 
0.9%
- 1
 
0.9%
B 1
 
0.9%
Other values (3) 3
 
2.8%

하천명
Categorical

Distinct45
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
온양천
50 
둔포천
41 
약봉천
41 
곡교천
34 
학성천
 
27
Other values (40)
278 

Length

Max length6
Median length3
Mean length3.044586
Min length2

Unique

Unique4 ?
Unique (%)0.8%

Sample

1st row곡교천
2nd row천안천
3rd row천안천
4th row봉강천
5th row온양천

Common Values

ValueCountFrequency (%)
온양천 50
 
10.6%
둔포천 41
 
8.7%
약봉천 41
 
8.7%
곡교천 34
 
7.2%
학성천 27
 
5.7%
와천 22
 
4.7%
회룡천 22
 
4.7%
도고천 22
 
4.7%
금곡천 21
 
4.5%
아산천 20
 
4.2%
Other values (35) 171
36.3%

Length

2024-01-10T05:17:14.908165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
온양천 50
 
10.6%
둔포천 41
 
8.7%
약봉천 41
 
8.7%
곡교천 36
 
7.6%
학성천 27
 
5.7%
와천 22
 
4.7%
회룡천 22
 
4.7%
도고천 22
 
4.7%
금곡천 21
 
4.4%
아산천 20
 
4.2%
Other values (35) 171
36.2%

시공청
Categorical

Distinct36
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
아산시
234 
대전지방국토관리청
80 
아산시청
38 
충청남도
 
14
예산국도건설사업소
 
11
Other values (31)
94 

Length

Max length13
Median length3
Mean length5.3312102
Min length3

Unique

Unique10 ?
Unique (%)2.1%

Sample

1st row대전지방국토관리청
2nd row대전지방국토관리청
3rd row대전지방국토관리청
4th row대전지방국토관리청
5th row아산시

Common Values

ValueCountFrequency (%)
아산시 234
49.7%
대전지방국토관리청 80
 
17.0%
아산시청 38
 
8.1%
충청남도 14
 
3.0%
예산국도건설사업소 11
 
2.3%
아산군 8
 
1.7%
충청남도종합건설사업소 8
 
1.7%
(주)아산테크노밸리 7
 
1.5%
예산무도유지건설사무소 6
 
1.3%
<NA> 5
 
1.1%
Other values (26) 60
 
12.7%

Length

2024-01-10T05:17:15.060170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아산시 234
49.5%
대전지방국토관리청 80
 
16.9%
아산시청 38
 
8.0%
충청남도 14
 
3.0%
예산국도건설사업소 11
 
2.3%
아산군 8
 
1.7%
충청남도종합건설사업소 8
 
1.7%
주)아산테크노밸리 7
 
1.5%
예산무도유지건설사무소 6
 
1.3%
na 5
 
1.1%
Other values (27) 62
 
13.1%

착공년월일
Real number (ℝ)

Distinct103
Distinct (%)22.1%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean19466739
Minimum19000101
Maximum20160321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:15.218497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19000101
5-th percentile19000101
Q119000101
median19000101
Q319961203
95-th percentile20087514
Maximum20160321
Range1160220
Interquartile range (IQR)961102

Descriptive statistics

Standard deviation488411.05
Coefficient of variation (CV)0.025089516
Kurtosis-1.9343954
Mean19466739
Median Absolute Deviation (MAD)0
Skewness0.12016513
Sum9.0909671 × 109
Variance2.3854535 × 1011
MonotonicityNot monotonic
2024-01-10T05:17:15.593528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19000101 242
51.4%
19961231 24
 
5.1%
19910420 16
 
3.4%
19840330 13
 
2.8%
19941230 13
 
2.8%
20070215 9
 
1.9%
20120426 8
 
1.7%
19960805 6
 
1.3%
19960501 4
 
0.8%
20130206 4
 
0.8%
Other values (93) 128
27.2%
ValueCountFrequency (%)
19000101 242
51.4%
19610000 1
 
0.2%
19660510 1
 
0.2%
19720812 1
 
0.2%
19730324 1
 
0.2%
19761003 1
 
0.2%
19830915 1
 
0.2%
19840330 13
 
2.8%
19840331 1
 
0.2%
19841018 2
 
0.4%
ValueCountFrequency (%)
20160321 1
 
0.2%
20140103 1
 
0.2%
20130206 4
0.8%
20121129 1
 
0.2%
20120904 2
 
0.4%
20120426 8
1.7%
20111110 1
 
0.2%
20111107 2
 
0.4%
20091230 2
 
0.4%
20090413 1
 
0.2%

준공년월일
Real number (ℝ)

Distinct108
Distinct (%)23.1%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean19460989
Minimum9900706
Maximum20191231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:15.721017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9900706
5-th percentile19000101
Q119000101
median19000101
Q320000520
95-th percentile20131219
Maximum20191231
Range10290525
Interquartile range (IQR)1000419

Descriptive statistics

Standard deviation670265.13
Coefficient of variation (CV)0.034441474
Kurtosis87.306124
Mean19460989
Median Absolute Deviation (MAD)0
Skewness-6.1512572
Sum9.0882817 × 109
Variance4.4925535 × 1011
MonotonicityNot monotonic
2024-01-10T05:17:15.849590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19000101 241
51.2%
20021231 28
 
5.9%
19991231 13
 
2.8%
19910718 11
 
2.3%
19870630 11
 
2.3%
20131219 9
 
1.9%
20141231 8
 
1.7%
19970903 6
 
1.3%
20041231 5
 
1.1%
19980618 4
 
0.8%
Other values (98) 131
27.8%
ValueCountFrequency (%)
9900706 1
 
0.2%
19000101 241
51.2%
19660906 1
 
0.2%
19720828 2
 
0.4%
19721109 1
 
0.2%
19761205 1
 
0.2%
19761221 1
 
0.2%
19791011 2
 
0.4%
19831220 1
 
0.2%
19851206 2
 
0.4%
ValueCountFrequency (%)
20191231 1
 
0.2%
20180630 1
 
0.2%
20160531 4
0.8%
20151130 2
 
0.4%
20141231 8
1.7%
20141031 2
 
0.4%
20140830 1
 
0.2%
20131219 9
1.9%
20130630 1
 
0.2%
20121031 2
 
0.4%

교대 치수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:15.954659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:16.058940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

상부공 주형폭
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:16.154136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:16.229933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

교각 치수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
0
471 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 471
100.0%

Length

2024-01-10T05:17:16.310624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:16.392928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 471
100.0%

평수위고
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03418259
Minimum0
Maximum0.8
Zeros436
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-01-10T05:17:16.462035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.4
Maximum0.8
Range0.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.12513533
Coefficient of variation (CV)3.6607914
Kurtosis13.044961
Mean0.03418259
Median Absolute Deviation (MAD)0
Skewness3.6960879
Sum16.1
Variance0.015658852
MonotonicityNot monotonic
2024-01-10T05:17:16.553980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 436
92.6%
0.4 18
 
3.8%
0.5 5
 
1.1%
0.6 5
 
1.1%
0.3 4
 
0.8%
0.7 2
 
0.4%
0.8 1
 
0.2%
ValueCountFrequency (%)
0.0 436
92.6%
0.3 4
 
0.8%
0.4 18
 
3.8%
0.5 5
 
1.1%
0.6 5
 
1.1%
0.7 2
 
0.4%
0.8 1
 
0.2%
ValueCountFrequency (%)
0.8 1
 
0.2%
0.7 2
 
0.4%
0.6 5
 
1.1%
0.5 5
 
1.1%
0.4 18
 
3.8%
0.3 4
 
0.8%
0.0 436
92.6%

Sample

행정읍/면/동법정읍/면/동관리기관관리자교량형태교량종류교량명구조물등급종별총연장횡단시설명왕복차로수일반제원-설계하중일반제원-용통행하중일반제원-행제한높이일반제원-교장일반제원-경간장일반제원-경간수일반제원-총폭원일반제원-유효폭원일반제원-최대경간장상부구조형식하부구조형식상부공-주형간격상부공-주형높이상부공-상판차도두께상부공-상판보도두께상부공-차도폭상부공-보도폭상부공-상판재료상부공-난간재료상부공-난간높이상부공-난간폭상부공-난간총연장상부공-이음장치형식상부공-이음장치수량하부공-교각형식하부공-교각수하부공-교각매립깊이하부공-교각기초형식하부공-교각총높이하부공-교대형식하부공-교대기초형식하부공-교대총높이하부공-교대날개벽종류하부공-교대날개벽총면적조명시설-종류조명시설-수량받침-수량받침-종류교명주-수량교명주-재질배수구-총수량라벨하천명시공청착공년월일준공년월일교대 치수상부공 주형폭교각 치수평수위고
0배방읍배방읍 북수리도로과<NA>스라브(RC 콘크리트)철근콘크리트교북수교미분류미분류40.0일반도로8DB240.00.040.00.0036.435.5740.0미분류미분류000.00.035.570.0현장타설콘크리트바닥판알루미늄합금0.40.356.03미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0북수교곡교천대전지방국토관리청20070215201312190000.0
1배방읍배방읍 장재리도로과<NA>스라브(RC 콘크리트)철근콘크리트교무명교미분류미분류71.3하천1미분류0.00.071.30.028.024.8971.3미분류미분류000.00.04.892.06현장타설콘크리트바닥판철제0.90.377.78미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0무명교천안천대전지방국토관리청20070215201312190000.0
2배방읍배방읍 휴대리도로과<NA>스라브(RC 콘크리트)철근콘크리트교휴대교미분류미분류82.68하천2DB240.00.082.680.0512.378.0182.68미분류미분류000.00.08.011.56현장타설콘크리트바닥판철제1.10.377.84미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0휴대교천안천대전지방국토관리청20070215201312190000.0
3배방읍배방읍 세교리도로과<NA>스라브(RC 콘크리트)철근콘크리트교무명교미분류미분류14.11하천1미분류0.00.014.110.006.695.0214.11미분류미분류000.00.05.020.0현장타설콘크리트바닥판알루미늄합금0.80.314.85미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0무명교봉강천대전지방국토관리청20070215201312190000.0
4온양3동권곡동도로과<NA>스라브(RC 콘크리트)철근콘크리트교샛들다리미분류미분류240.0하천4DB240.00.0240.00.0428.722.44240.0미분류미분류000.00.022.442.64현장타설콘크리트바닥판알루미늄합금0.850.3241.3미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0샛들다리온양천아산시20010521200603310000.0
5배방읍배방읍 북수리도로과<NA>스라브(RC 콘크리트)철근콘크리트교은수교미분류미분류45.0일반도로8DB240.00.045.00.0236.435.7445.0미분류미분류000.00.035.740.0현장타설콘크리트바닥판알루미늄합금0.40.354.21미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0은수교온양천대전지방국토관리청20070215201312190000.0
6탕정면탕정면 갈산리도로과<NA>스라브(RC 콘크리트)철근콘크리트교갈산교미분류미분류1.64하천1미분류0.00.01.640.005.555.551.64미분류미분류000.00.05.550.0현장타설콘크리트바닥판콘크리트(방호벽)1.00.21.64미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0갈산교온양천대전지방국토관리청19730324197612210000.0
7탕정면탕정면 매곡리도로과<NA>스라브(RC 콘크리트)철근콘크리트교매곡교미분류미분류49.5하천2DB240.00.049.50.0010.010.049.5미분류미분류000.00.010.00.0현장타설콘크리트바닥판알루미늄합금0.80.150.48미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0매곡교매곡천아산시19991120200008170000.0
8염치읍염치읍 백암리도로과<NA>스라브(RC 콘크리트)철근콘크리트교현충교미분류미분류6.14하천1미분류0.00.06.140.016.726.726.14미분류미분류000.00.06.720.0현장타설콘크리트바닥판알루미늄합금0.90.35.91미분류0미분류00.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류0현충교매곡천아산시19610000200008170000.0
9음봉면음봉면 덕지리도로과<NA>스라브(RC 콘크리트)철근콘크리트교덕지교미분류미분류31.0하천4DB2443.20.031.00.0129.429.431.0미분류미분류000.00.029.40.0현장타설콘크리트바닥판알루미늄합금0.40.332.59미분류0미분류10.0미분류0.0미분류미분류0.0<NA>0교명주00미분류0미분류8덕지교매곡천충청남도종합건설사업소20061222201109080000.0
행정읍/면/동법정읍/면/동관리기관관리자교량형태교량종류교량명구조물등급종별총연장횡단시설명왕복차로수일반제원-설계하중일반제원-용통행하중일반제원-행제한높이일반제원-교장일반제원-경간장일반제원-경간수일반제원-총폭원일반제원-유효폭원일반제원-최대경간장상부구조형식하부구조형식상부공-주형간격상부공-주형높이상부공-상판차도두께상부공-상판보도두께상부공-차도폭상부공-보도폭상부공-상판재료상부공-난간재료상부공-난간높이상부공-난간폭상부공-난간총연장상부공-이음장치형식상부공-이음장치수량하부공-교각형식하부공-교각수하부공-교각매립깊이하부공-교각기초형식하부공-교각총높이하부공-교대형식하부공-교대기초형식하부공-교대총높이하부공-교대날개벽종류하부공-교대날개벽총면적조명시설-종류조명시설-수량받침-수량받침-종류교명주-수량교명주-재질배수구-총수량라벨하천명시공청착공년월일준공년월일교대 치수상부공 주형폭교각 치수평수위고
461영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교신봉교미분류미분류11.0하천2미분류0.00.00.00.000.00.00.0미분류미분류000.00.09.910.0미분류강재(강재파이프)0.70.1821.4미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0신봉교신언천아산시19910420199107180000.0
462영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교무명교미분류미분류17.0하천1미분류0.00.00.00.000.00.00.0미분류미분류000.00.05.00.0미분류미분류0.00.00.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0무명교신언천아산시19910420199107180000.0
463영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교무명교미분류미분류17.0하천1미분류0.00.00.00.000.00.00.0미분류미분류000.00.05.00.0미분류미분류0.00.00.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0무명교신언천아산시19910420199107180000.0
464영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교무명교미분류미분류11.6하천1미분류0.00.00.00.000.00.00.0미분류미분류000.00.028.480.0미분류미분류0.00.00.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0무명교신언천아산시19910420199107180000.0
465영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교신봉2교미분류미분류8.0하천4DB2443.00.00.00.000.00.00.0미분류미분류000.00.019.60.0미분류강재(강재파이프)0.70.1816.2미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0신봉2교신언천아산시19910420199107180000.0
466둔포면둔포면 신법리도로과<NA>도개교(Draw/Bascule)철근콘크리트교무명교미분류미분류20.5하천1미분류0.00.00.00.000.00.00.0미분류미분류000.00.05.10.0미분류강재(강재파이프)0.70.1820.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0무명교신언천아산시19910420199107180000.0
467영인면영인면 신봉리도로과<NA>도개교(Draw/Bascule)철근콘크리트교신봉4교미분류미분류15.0하천4DB2443.00.00.00.000.00.00.0미분류미분류000.00.014.850.0미분류강재(강재파이프)0.70.1830.2미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0신봉4교신언천아산시19910420199107180000.0
468둔포면둔포면 신남리도로과<NA>도개교(Draw/Bascule)철근콘크리트교신남1육교미분류미분류30.0하천2DB2443.00.00.00.000.00.00.0미분류미분류000.00.07.00.0미분류강재(강재파이프)0.70.180.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0신남1육신언천아산시19910420199107180000.0
469둔포면둔포면 신양리도로과<NA>스라브(RC 콘크리트)철근콘크리트교무명교미분류미분류30.0하천2미분류0.00.00.00.027.67.30.0미분류기타000.00.06.40.6UTY011강재(강재파이프)0.60.257.06강핑거죠인트3미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0미분류6무명교산전천아산시19910420199107180000.0
470음봉면음봉면 신휴리도로과<NA>스라브(RC 콘크리트)철근콘크리트교신휴교미분류미분류34.0하천1DB1818.00.00.00.045.05.30.0미분류벽식000.00.05.00.0UTY011강재(강재파이프)0.60.268.46강핑거죠인트2미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류1석재0신휴교둔포천온양농지개량조합19910420199909300000.0

Duplicate rows

Most frequently occurring

행정읍/면/동법정읍/면/동관리기관교량형태교량종류교량명구조물등급종별총연장횡단시설명왕복차로수일반제원-설계하중일반제원-용통행하중일반제원-행제한높이일반제원-교장일반제원-경간장일반제원-경간수일반제원-총폭원일반제원-유효폭원일반제원-최대경간장상부구조형식하부구조형식상부공-주형간격상부공-주형높이상부공-상판차도두께상부공-상판보도두께상부공-차도폭상부공-보도폭상부공-상판재료상부공-난간재료상부공-난간높이상부공-난간폭상부공-난간총연장상부공-이음장치형식상부공-이음장치수량하부공-교각형식하부공-교각수하부공-교각매립깊이하부공-교각기초형식하부공-교각총높이하부공-교대형식하부공-교대기초형식하부공-교대총높이하부공-교대날개벽종류하부공-교대날개벽총면적조명시설-종류조명시설-수량받침-수량받침-종류교명주-수량교명주-재질배수구-총수량라벨하천명시공청착공년월일준공년월일교대 치수상부공 주형폭교각 치수평수위고# duplicates
0영인면영인면 신봉리도로과도개교(Draw/Bascule)철근콘크리트교무명교미분류미분류17.0하천1미분류0.00.00.00.000.00.00.0미분류미분류000.00.05.00.0미분류미분류0.00.00.0미분류0미분류00.0미분류0.0미분류미분류0.0옹벽0원통형00미분류0기타0무명교신언천아산시19910420199107180000.02
1영인면영인면 창용리도로과스라브(RC 콘크리트)철근콘크리트교철봉육교미분류미분류23.8하천2DB2424.00.00.00.0230.030.00.0미분류미분류000.00.023.80.0현장타설콘크리트바닥판알루미늄합금1.00.023.8미분류0미분류00.0미분류0.0미분류미분류0.000세종형대형00미분류0석재0철봉육교매곡천아산시청19961231200212310000.02
2온양4동득산동도로과도개교(Draw/Bascule)철근콘크리트교슷뫼교미분류미분류15.0하천2DB240.00.00.00.0111.00.00.0미분류중력식000.00.07.43.6미분류기타0.60.228.0맹죠인트2미분류00.0미분류0.0미분류미분류0.0옹벽00010미분류4석재6슷뫼교회룡천아산시19881201199005010000.02