Overview

Dataset statistics

Number of variables26
Number of observations84
Missing cells75
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory230.6 B

Variable types

Categorical12
Text1
Numeric13

Dataset

Description국토안전관리원에서 교량을 대상으로 한 세굴심 시험 결과 데이터 입니다. 종류는 도로교량과 철도교량입니다. 중력가속도의 단위는 (km/sec^2)입니다. 교갹직상류부유속의 단위는 (m/sec)입니다. Fr1 의 단위는(v1√gh) 입니다.
Author국토안전관리원
URLhttps://www.data.go.kr/data/15111012/fileData.do

Alerts

시설물구분 has constant value ""Constant
종별 has constant value ""Constant
교각 전면부형상에 대한 보정계수(K1) has constant value ""Constant
중력 가속도 has constant value ""Constant
교각의 형상계수(Froehlich) has constant value ""Constant
하상조건에 대한 보정계수(K3) is highly imbalanced (50.9%)Imbalance
교각 직상류측 수심(y)(m) has 14 (16.7%) missing valuesMissing
교각수심_홍수시(y1)(m) has 47 (56.0%) missing valuesMissing
교각폭(a)(m) has 14 (16.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:28:17.597860
Analysis finished2023-12-12 05:28:17.824962
Duration0.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
교량
84 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교량 84
100.0%

Length

2023-12-12T14:28:17.885467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:17.977475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교량 84
100.0%

시설물종류
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
도로교량
67 
철도교량
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로교량 67
79.8%
철도교량 17
 
20.2%

Length

2023-12-12T14:28:18.095145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:18.199581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로교량 67
79.8%
철도교량 17
 
20.2%

종별
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
1종
84 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row1종
3rd row1종
4th row1종
5th row1종

Common Values

ValueCountFrequency (%)
1종 84
100.0%

Length

2023-12-12T14:28:18.326213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:18.443005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1종 84
100.0%

시설물번호(비식별)
Categorical

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
BR0003
17 
BR0006
16 
BR0008
14 
BR0005
13 
BR0020
10 
Other values (2)
14 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBR0004
2nd rowBR0004
3rd rowBR0004
4th rowBR0004
5th rowBR0004

Common Values

ValueCountFrequency (%)
BR0003 17
20.2%
BR0006 16
19.0%
BR0008 14
16.7%
BR0005 13
15.5%
BR0020 10
11.9%
BR0004 9
10.7%
BR0010 5
 
6.0%

Length

2023-12-12T14:28:18.572354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:18.757841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
br0003 17
20.2%
br0006 16
19.0%
br0008 14
16.7%
br0005 13
15.5%
br0020 10
11.9%
br0004 9
10.7%
br0010 5
 
6.0%

세부위치(구분)
Text

Distinct46
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-12-12T14:28:19.009272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8452381
Min length2

Characters and Unicode

Total characters239
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)38.1%

Sample

1st rowP5
2nd rowP6
3rd rowP7
4th rowP8
5th rowP9
ValueCountFrequency (%)
p10 5
 
6.0%
p11 5
 
6.0%
p12 5
 
6.0%
p13 5
 
6.0%
p8 4
 
4.8%
p9 4
 
4.8%
p14 4
 
4.8%
p15 4
 
4.8%
p16 4
 
4.8%
p7 3
 
3.6%
Other values (36) 41
48.8%
2023-12-12T14:28:19.467007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 84
35.1%
1 51
21.3%
2 17
 
7.1%
0 14
 
5.9%
M 11
 
4.6%
3 10
 
4.2%
8 9
 
3.8%
4 9
 
3.8%
5 9
 
3.8%
6 8
 
3.3%
Other values (3) 17
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142
59.4%
Uppercase Letter 97
40.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
35.9%
2 17
 
12.0%
0 14
 
9.9%
3 10
 
7.0%
8 9
 
6.3%
4 9
 
6.3%
5 9
 
6.3%
6 8
 
5.6%
7 8
 
5.6%
9 7
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
P 84
86.6%
M 11
 
11.3%
S 2
 
2.1%

Most occurring scripts

ValueCountFrequency (%)
Common 142
59.4%
Latin 97
40.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 51
35.9%
2 17
 
12.0%
0 14
 
9.9%
3 10
 
7.0%
8 9
 
6.3%
4 9
 
6.3%
5 9
 
6.3%
6 8
 
5.6%
7 8
 
5.6%
9 7
 
4.9%
Latin
ValueCountFrequency (%)
P 84
86.6%
M 11
 
11.3%
S 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 84
35.1%
1 51
21.3%
2 17
 
7.1%
0 14
 
5.9%
M 11
 
4.6%
3 10
 
4.2%
8 9
 
3.8%
4 9
 
3.8%
5 9
 
3.8%
6 8
 
3.3%
Other values (3) 17
 
7.1%

교각 전면부형상에 대한 보정계수(K1)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
1
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
100.0%

Length

2023-12-12T14:28:19.594953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:19.699915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
100.0%

흐름의 유입각에 대한 보정계수(K2)
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
1.0
74 
2.3
10 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 74
88.1%
2.3 10
 
11.9%

Length

2023-12-12T14:28:19.800452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:19.894231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 74
88.1%
2.3 10
 
11.9%

하상조건에 대한 보정계수(K3)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
1.1
75 
1.0
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.1 75
89.3%
1.0 9
 
10.7%

Length

2023-12-12T14:28:19.992186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:20.077928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.1 75
89.3%
1.0 9
 
10.7%

하상재료의 크기에 대한 보정계수(K4)
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
1.0
51 
0.95
23 
0.8
10 

Length

Max length4
Median length3
Mean length3.2738095
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 51
60.7%
0.95 23
27.4%
0.8 10
 
11.9%

Length

2023-12-12T14:28:20.173512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:20.286861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 51
60.7%
0.95 23
27.4%
0.8 10
 
11.9%

교각 직상류측 수심(y)(m)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)94.3%
Missing14
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean13.613
Minimum0.48
Maximum28.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:20.399333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.48
5-th percentile3.7395
Q17.9625
median10.65
Q319.235
95-th percentile26.89
Maximum28.18
Range27.7
Interquartile range (IQR)11.2725

Descriptive statistics

Standard deviation7.6127712
Coefficient of variation (CV)0.55922803
Kurtosis-0.99289641
Mean13.613
Median Absolute Deviation (MAD)4.94
Skewness0.45829878
Sum952.91
Variance57.954285
MonotonicityNot monotonic
2023-12-12T14:28:20.524177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 2
 
2.4%
8.8 2
 
2.4%
8.03 2
 
2.4%
26.89 2
 
2.4%
7.74 1
 
1.2%
8.88 1
 
1.2%
8.57 1
 
1.2%
6.52 1
 
1.2%
7.95 1
 
1.2%
8.24 1
 
1.2%
Other values (56) 56
66.7%
(Missing) 14
 
16.7%
ValueCountFrequency (%)
0.48 1
1.2%
1.93 1
1.2%
2.0 1
1.2%
3.06 1
1.2%
4.57 1
1.2%
4.98 1
1.2%
5.08 1
1.2%
6.19 1
1.2%
6.52 1
1.2%
6.77 1
1.2%
ValueCountFrequency (%)
28.18 1
1.2%
28.07 1
1.2%
27.55 1
1.2%
26.89 2
2.4%
26.54 1
1.2%
25.65 1
1.2%
25.53 1
1.2%
24.15 1
1.2%
24.06 1
1.2%
23.75 1
1.2%

교각수심_홍수시(y1)(m)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)94.6%
Missing47
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean9.06
Minimum0.48
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:20.645728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.48
5-th percentile1.93
Q15.08
median8.03
Q311.08
95-th percentile22.83
Maximum23.9
Range23.42
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.8378497
Coefficient of variation (CV)0.64435427
Kurtosis1.3335074
Mean9.06
Median Absolute Deviation (MAD)3.03
Skewness1.2705183
Sum335.22
Variance34.080489
MonotonicityNot monotonic
2023-12-12T14:28:20.793077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8.8 2
 
2.4%
8.03 2
 
2.4%
16.23 1
 
1.2%
1.95 1
 
1.2%
1.85 1
 
1.2%
0.48 1
 
1.2%
3.06 1
 
1.2%
11.09 1
 
1.2%
12.05 1
 
1.2%
11.11 1
 
1.2%
Other values (25) 25
29.8%
(Missing) 47
56.0%
ValueCountFrequency (%)
0.48 1
1.2%
1.85 1
1.2%
1.95 1
1.2%
3.06 1
1.2%
3.48 1
1.2%
4.46 1
1.2%
4.54 1
1.2%
4.57 1
1.2%
5.0 1
1.2%
5.08 1
1.2%
ValueCountFrequency (%)
23.9 1
1.2%
23.55 1
1.2%
22.65 1
1.2%
20.6 1
1.2%
16.23 1
1.2%
13.88 1
1.2%
12.05 1
1.2%
11.11 1
1.2%
11.09 1
1.2%
11.08 1
1.2%

중력 가속도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
9.81
84 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9.81
2nd row9.81
3rd row9.81
4th row9.81
5th row9.81

Common Values

ValueCountFrequency (%)
9.81 84
100.0%

Length

2023-12-12T14:28:20.919544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:21.034860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9.81 84
100.0%

교각 직상류부 유속(V1)
Real number (ℝ)

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2980952
Minimum0.18
Maximum4.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:21.124868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile0.303
Q11.9
median2.07
Q32.17
95-th percentile4.59
Maximum4.59
Range4.41
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation1.2385441
Coefficient of variation (CV)0.53894377
Kurtosis0.031201724
Mean2.2980952
Median Absolute Deviation (MAD)0.17
Skewness0.7916703
Sum193.04
Variance1.5339915
MonotonicityNot monotonic
2023-12-12T14:28:21.235721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.17 26
31.0%
4.59 16
19.0%
1.97 14
16.7%
1.9 13
15.5%
1.0 10
 
11.9%
0.18 5
 
6.0%
ValueCountFrequency (%)
0.18 5
 
6.0%
1.0 10
 
11.9%
1.9 13
15.5%
1.97 14
16.7%
2.17 26
31.0%
4.59 16
19.0%
ValueCountFrequency (%)
4.59 16
19.0%
2.17 26
31.0%
1.97 14
16.7%
1.9 13
15.5%
1.0 10
 
11.9%
0.18 5
 
6.0%

푸르드 수(Fr1)
Real number (ℝ)

Distinct44
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22877381
Minimum0.018
Maximum0.876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:21.380879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.018
5-th percentile0.02675
Q10.15
median0.214
Q30.31
95-th percentile0.3785
Maximum0.876
Range0.858
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.12645494
Coefficient of variation (CV)0.55275095
Kurtosis6.8610371
Mean0.22877381
Median Absolute Deviation (MAD)0.068
Skewness1.4587761
Sum19.217
Variance0.015990852
MonotonicityNot monotonic
2023-12-12T14:28:21.539456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.15 14
 
16.7%
0.28 7
 
8.3%
0.31 5
 
6.0%
0.36 4
 
4.8%
0.019 3
 
3.6%
0.29 3
 
3.6%
0.34 3
 
3.6%
0.182 3
 
3.6%
0.35 2
 
2.4%
0.3 2
 
2.4%
Other values (34) 38
45.2%
ValueCountFrequency (%)
0.018 1
 
1.2%
0.019 3
3.6%
0.02 1
 
1.2%
0.065 1
 
1.2%
0.066 1
 
1.2%
0.067 1
 
1.2%
0.07 1
 
1.2%
0.079 1
 
1.2%
0.086 1
 
1.2%
0.096 1
 
1.2%
ValueCountFrequency (%)
0.876 1
 
1.2%
0.43 1
 
1.2%
0.41 1
 
1.2%
0.38 2
2.4%
0.37 1
 
1.2%
0.36 4
4.8%
0.35 2
2.4%
0.347 1
 
1.2%
0.34 3
3.6%
0.33 2
2.4%

교각폭(a)(m)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)34.3%
Missing14
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean9.8054286
Minimum2
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:21.738192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.695
Q15.5125
median9
Q313
95-th percentile23.9
Maximum23.9
Range21.9
Interquartile range (IQR)7.4875

Descriptive statistics

Standard deviation5.463046
Coefficient of variation (CV)0.55714505
Kurtosis1.0547947
Mean9.8054286
Median Absolute Deviation (MAD)3.6
Skewness1.1565067
Sum686.38
Variance29.844872
MonotonicityNot monotonic
2023-12-12T14:28:21.892931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.0 11
13.1%
5.4 11
13.1%
13.0 9
10.7%
14.0 6
7.1%
5.8 5
 
6.0%
23.9 5
 
6.0%
11.0 3
 
3.6%
2.0 2
 
2.4%
19.0 2
 
2.4%
2.3 2
 
2.4%
Other values (14) 14
16.7%
(Missing) 14
16.7%
ValueCountFrequency (%)
2.0 2
 
2.4%
2.3 2
 
2.4%
5.4 11
13.1%
5.42 1
 
1.2%
5.47 1
 
1.2%
5.51 1
 
1.2%
5.52 1
 
1.2%
5.56 1
 
1.2%
5.61 1
 
1.2%
5.8 5
6.0%
ValueCountFrequency (%)
23.9 5
6.0%
19.0 2
 
2.4%
14.0 6
7.1%
13.0 9
10.7%
11.45 1
 
1.2%
11.42 1
 
1.2%
11.0 3
 
3.6%
9.0 11
13.1%
7.87 1
 
1.2%
7.8 1
 
1.2%

교각폭에 대한 보정계수(K5)
Real number (ℝ)

Distinct46
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70092857
Minimum0.327
Maximum1.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:22.074368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.327
5-th percentile0.3286
Q10.59
median0.71
Q30.8405
95-th percentile0.985
Maximum1.14
Range0.813
Interquartile range (IQR)0.2505

Descriptive statistics

Standard deviation0.19996474
Coefficient of variation (CV)0.28528548
Kurtosis-0.35018339
Mean0.70092857
Median Absolute Deviation (MAD)0.12
Skewness-0.34758586
Sum58.878
Variance0.039985898
MonotonicityNot monotonic
2023-12-12T14:28:22.278741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.9 11
 
13.1%
0.71 8
 
9.5%
0.89 5
 
6.0%
0.67 5
 
6.0%
0.59 4
 
4.8%
0.328 4
 
4.8%
0.671 3
 
3.6%
1.07 3
 
3.6%
0.56 2
 
2.4%
0.789 2
 
2.4%
Other values (36) 37
44.0%
ValueCountFrequency (%)
0.327 1
 
1.2%
0.328 4
4.8%
0.332 1
 
1.2%
0.334 1
 
1.2%
0.337 1
 
1.2%
0.355 1
 
1.2%
0.359 1
 
1.2%
0.365 1
 
1.2%
0.384 1
 
1.2%
0.424 1
 
1.2%
ValueCountFrequency (%)
1.14 1
 
1.2%
1.07 3
 
3.6%
1.0 1
 
1.2%
0.9 11
13.1%
0.89 5
6.0%
0.824 1
 
1.2%
0.814 1
 
1.2%
0.811 1
 
1.2%
0.804 1
 
1.2%
0.799 1
 
1.2%

교각최대세굴심(CSU_ys)
Real number (ℝ)

Distinct69
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2728571
Minimum0.23
Maximum26.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:22.467169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.23
5-th percentile0.631
Q15.94
median8.91
Q310.855
95-th percentile20.621
Maximum26.66
Range26.43
Interquartile range (IQR)4.915

Descriptive statistics

Standard deviation5.4080911
Coefficient of variation (CV)0.58321734
Kurtosis2.7318753
Mean9.2728571
Median Absolute Deviation (MAD)2.26
Skewness1.3583209
Sum778.92
Variance29.24745
MonotonicityNot monotonic
2023-12-12T14:28:22.959410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.94 8
 
9.5%
8.91 3
 
3.6%
0.25 2
 
2.4%
6.65 2
 
2.4%
10.8 2
 
2.4%
9.73 2
 
2.4%
9.32 2
 
2.4%
10.87 2
 
2.4%
4.33 1
 
1.2%
7.42 1
 
1.2%
Other values (59) 59
70.2%
ValueCountFrequency (%)
0.23 1
1.2%
0.24 1
1.2%
0.25 2
2.4%
0.28 1
1.2%
2.62 1
1.2%
3.37 1
1.2%
4.33 1
1.2%
4.77 1
1.2%
4.8 1
1.2%
5.12 1
1.2%
ValueCountFrequency (%)
26.66 1
1.2%
26.6 1
1.2%
25.6 1
1.2%
23.96 1
1.2%
20.72 1
1.2%
20.06 1
1.2%
19.05 1
1.2%
17.11 1
1.2%
15.07 1
1.2%
14.97 1
1.2%

교각폭(b)(m)
Real number (ℝ)

Distinct27
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2283333
Minimum2
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:23.114263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.23
Q15.5975
median7.48
Q313
95-th percentile23.165
Maximum23.9
Range21.9
Interquartile range (IQR)7.4025

Descriptive statistics

Standard deviation5.1535305
Coefficient of variation (CV)0.55844651
Kurtosis1.8560592
Mean9.2283333
Median Absolute Deviation (MAD)2.08
Skewness1.428299
Sum775.18
Variance26.558877
MonotonicityNot monotonic
2023-12-12T14:28:23.225914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
9.0 11
13.1%
6.2 11
13.1%
5.4 11
13.1%
13.0 9
10.7%
14.0 6
 
7.1%
5.8 5
 
6.0%
23.9 5
 
6.0%
11.0 3
 
3.6%
2.0 2
 
2.4%
19.0 2
 
2.4%
Other values (17) 19
22.6%
ValueCountFrequency (%)
2.0 2
 
2.4%
2.3 2
 
2.4%
5.2 1
 
1.2%
5.4 11
13.1%
5.42 1
 
1.2%
5.47 1
 
1.2%
5.51 1
 
1.2%
5.52 1
 
1.2%
5.56 1
 
1.2%
5.61 1
 
1.2%
ValueCountFrequency (%)
23.9 5
6.0%
19.0 2
 
2.4%
14.0 6
7.1%
13.0 9
10.7%
11.45 1
 
1.2%
11.42 1
 
1.2%
11.0 3
 
3.6%
9.0 11
13.1%
7.87 1
 
1.2%
7.8 1
 
1.2%

투영교각폭(b)(m)
Real number (ℝ)

Distinct27
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2283333
Minimum2
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:23.359691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.23
Q15.5975
median7.48
Q313
95-th percentile23.165
Maximum23.9
Range21.9
Interquartile range (IQR)7.4025

Descriptive statistics

Standard deviation5.1535305
Coefficient of variation (CV)0.55844651
Kurtosis1.8560592
Mean9.2283333
Median Absolute Deviation (MAD)2.08
Skewness1.428299
Sum775.18
Variance26.558877
MonotonicityNot monotonic
2023-12-12T14:28:23.530471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
9.0 11
13.1%
6.2 11
13.1%
5.4 11
13.1%
13.0 9
10.7%
14.0 6
 
7.1%
5.8 5
 
6.0%
23.9 5
 
6.0%
11.0 3
 
3.6%
2.0 2
 
2.4%
19.0 2
 
2.4%
Other values (17) 19
22.6%
ValueCountFrequency (%)
2.0 2
 
2.4%
2.3 2
 
2.4%
5.2 1
 
1.2%
5.4 11
13.1%
5.42 1
 
1.2%
5.47 1
 
1.2%
5.51 1
 
1.2%
5.52 1
 
1.2%
5.56 1
 
1.2%
5.61 1
 
1.2%
ValueCountFrequency (%)
23.9 5
6.0%
19.0 2
 
2.4%
14.0 6
7.1%
13.0 9
10.7%
11.45 1
 
1.2%
11.42 1
 
1.2%
11.0 3
 
3.6%
9.0 11
13.1%
7.87 1
 
1.2%
7.8 1
 
1.2%

교각의 형상계수(Froehlich)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
1
84 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 84
100.0%

Length

2023-12-12T14:28:23.744359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:23.869885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 84
100.0%

평균입경(D50_0_01m)
Categorical

Distinct4
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size804.0 B
0.01
55 
0.003
14 
0.002
10 
0.64
 
5

Length

Max length5
Median length4
Mean length4.2857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.01
2nd row0.01
3rd row0.01
4th row0.01
5th row0.01

Common Values

ValueCountFrequency (%)
0.01 55
65.5%
0.003 14
 
16.7%
0.002 10
 
11.9%
0.64 5
 
6.0%

Length

2023-12-12T14:28:24.005137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:24.143498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.01 55
65.5%
0.003 14
 
16.7%
0.002 10
 
11.9%
0.64 5
 
6.0%

세굴심도(Froehlich_ys)(m)
Real number (ℝ)

Distinct68
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.08119
Minimum2.84
Maximum28.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:24.306469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.84
5-th percentile3.076
Q16.6675
median9.87
Q312.46
95-th percentile26.9065
Maximum28.45
Range25.61
Interquartile range (IQR)5.7925

Descriptive statistics

Standard deviation7.0904161
Coefficient of variation (CV)0.63986051
Kurtosis0.58964619
Mean11.08119
Median Absolute Deviation (MAD)2.955
Skewness1.1493587
Sum930.82
Variance50.274001
MonotonicityNot monotonic
2023-12-12T14:28:24.462307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.87 12
 
14.3%
12.89 2
 
2.4%
12.46 2
 
2.4%
11.9 2
 
2.4%
26.83 2
 
2.4%
10.05 2
 
2.4%
4.39 1
 
1.2%
3.28 1
 
1.2%
3.68 1
 
1.2%
3.58 1
 
1.2%
Other values (58) 58
69.0%
ValueCountFrequency (%)
2.84 1
1.2%
2.93 1
1.2%
2.99 1
1.2%
3.02 1
1.2%
3.07 1
1.2%
3.11 1
1.2%
3.19 1
1.2%
3.24 1
1.2%
3.28 1
1.2%
3.33 1
1.2%
ValueCountFrequency (%)
28.45 1
1.2%
28.4 1
1.2%
26.97 1
1.2%
26.95 1
1.2%
26.92 1
1.2%
26.83 2
2.4%
26.72 1
1.2%
25.7 1
1.2%
22.86 1
1.2%
22.23 1
1.2%

최대홍수위
Categorical

Distinct3
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size804.0 B
<NA>
53 
11.34
17 
13.09
14 

Length

Max length5
Median length4
Mean length4.3690476
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
63.1%
11.34 17
 
20.2%
13.09 14
 
16.7%

Length

2023-12-12T14:28:24.599950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:28:24.720247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
63.1%
11.34 17
 
20.2%
13.09 14
 
16.7%

세굴심도(Laursen_ys)(m)
Real number (ℝ)

Distinct70
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.78619
Minimum1.52
Maximum24.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:24.841606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.52
5-th percentile6.3675
Q19.645
median12.275
Q314.55
95-th percentile22.3855
Maximum24.02
Range22.5
Interquartile range (IQR)4.905

Descriptive statistics

Standard deviation4.8792385
Coefficient of variation (CV)0.38160221
Kurtosis0.080651052
Mean12.78619
Median Absolute Deviation (MAD)2.525
Skewness0.54224165
Sum1074.04
Variance23.806968
MonotonicityNot monotonic
2023-12-12T14:28:24.990179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.64 11
 
13.1%
13.26 2
 
2.4%
12.29 2
 
2.4%
13.54 2
 
2.4%
15.66 2
 
2.4%
8.32 1
 
1.2%
10.7 1
 
1.2%
7.56 1
 
1.2%
9.18 1
 
1.2%
19.9 1
 
1.2%
Other values (60) 60
71.4%
ValueCountFrequency (%)
1.52 1
1.2%
3.84 1
1.2%
5.53 1
1.2%
5.64 1
1.2%
6.33 1
1.2%
6.58 1
1.2%
6.71 1
1.2%
6.91 1
1.2%
6.92 1
1.2%
7.07 1
1.2%
ValueCountFrequency (%)
24.02 1
1.2%
23.81 1
1.2%
23.02 1
1.2%
22.61 1
1.2%
22.39 1
1.2%
22.36 1
1.2%
22.15 1
1.2%
21.55 1
1.2%
21.17 1
1.2%
20.61 1
1.2%

세굴심도(Neill_ys)(m)
Real number (ℝ)

Distinct70
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.616071
Minimum2.16
Maximum31.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:25.136552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.16
5-th percentile7.4795
Q111.57
median12.95
Q316.46
95-th percentile27.087
Maximum31.75
Range29.59
Interquartile range (IQR)4.89

Descriptive statistics

Standard deviation6.2545983
Coefficient of variation (CV)0.42792609
Kurtosis0.58968593
Mean14.616071
Median Absolute Deviation (MAD)1.525
Skewness1.0353089
Sum1227.75
Variance39.12
MonotonicityNot monotonic
2023-12-12T14:28:25.284648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.64 11
 
13.1%
13.11 2
 
2.4%
13.05 2
 
2.4%
13.54 2
 
2.4%
26.56 2
 
2.4%
11.35 1
 
1.2%
13.01 1
 
1.2%
8.43 1
 
1.2%
9.79 1
 
1.2%
20.18 1
 
1.2%
Other values (60) 60
71.4%
ValueCountFrequency (%)
2.16 1
1.2%
3.76 1
1.2%
7.15 1
1.2%
7.35 1
1.2%
7.46 1
1.2%
7.59 1
1.2%
7.72 1
1.2%
8.15 1
1.2%
8.32 1
1.2%
8.43 1
1.2%
ValueCountFrequency (%)
31.75 1
1.2%
31.59 1
1.2%
29.99 1
1.2%
27.44 1
1.2%
27.18 1
1.2%
26.56 2
2.4%
25.95 1
1.2%
25.72 1
1.2%
23.43 1
1.2%
22.02 1
1.2%

세굴심_평균(m)
Real number (ℝ)

Distinct68
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.994762
Minimum2.28
Maximum27.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:28:25.446669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.28
5-th percentile5.9615
Q110.12
median11.655
Q313.145
95-th percentile21.1775
Maximum27.72
Range25.44
Interquartile range (IQR)3.025

Descriptive statistics

Standard deviation4.6917373
Coefficient of variation (CV)0.39114885
Kurtosis2.8488725
Mean11.994762
Median Absolute Deviation (MAD)1.535
Skewness1.2956643
Sum1007.56
Variance22.012399
MonotonicityNot monotonic
2023-12-12T14:28:25.609606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.12 8
 
9.5%
10.86 3
 
3.6%
11.78 3
 
3.6%
17.33 2
 
2.4%
11.65 2
 
2.4%
12.86 2
 
2.4%
11.82 2
 
2.4%
11.66 2
 
2.4%
12.73 1
 
1.2%
7.14 1
 
1.2%
Other values (58) 58
69.0%
ValueCountFrequency (%)
2.28 1
1.2%
3.58 1
1.2%
5.86 1
1.2%
5.93 1
1.2%
5.96 1
1.2%
5.97 1
1.2%
6.05 1
1.2%
6.15 1
1.2%
6.67 1
1.2%
6.72 1
1.2%
ValueCountFrequency (%)
27.72 1
1.2%
27.6 1
1.2%
26.29 1
1.2%
23.32 1
1.2%
21.35 1
1.2%
20.2 1
1.2%
18.38 1
1.2%
17.79 1
1.2%
17.66 1
1.2%
17.33 2
2.4%

Sample

시설물구분시설물종류종별시설물번호(비식별)세부위치(구분)교각 전면부형상에 대한 보정계수(K1)흐름의 유입각에 대한 보정계수(K2)하상조건에 대한 보정계수(K3)하상재료의 크기에 대한 보정계수(K4)교각 직상류측 수심(y)(m)교각수심_홍수시(y1)(m)중력 가속도교각 직상류부 유속(V1)푸르드 수(Fr1)교각폭(a)(m)교각폭에 대한 보정계수(K5)교각최대세굴심(CSU_ys)교각폭(b)(m)투영교각폭(b)(m)교각의 형상계수(Froehlich)평균입경(D50_0_01m)세굴심도(Froehlich_ys)(m)최대홍수위세굴심도(Laursen_ys)(m)세굴심도(Neill_ys)(m)세굴심_평균(m)
0교량도로교량1종BR0004P511.01.01.014.573.489.812.170.18213.00.554.3313.013.010.016.53<NA>19.920.1812.73
1교량도로교량1종BR0004P611.01.01.015.634.549.812.170.17513.00.564.813.013.010.016.67<NA>20.6120.6113.17
2교량도로교량1종BR0004P711.01.01.016.495.49.812.170.17113.00.575.1213.013.010.016.78<NA>21.1720.9413.5
3교량도로교량1종BR0004P811.01.01.018.056.969.812.170.16313.00.595.6113.013.010.016.97<NA>22.1521.5214.07
4교량도로교량1종BR0004P911.01.01.019.58.419.812.170.15713.00.595.9913.013.010.017.14<NA>23.0222.0214.54
5교량도로교량1종BR0004P1011.01.01.018.47.319.812.170.16213.00.595.7113.013.010.017.01<NA>22.3621.6414.18
6교량도로교량1종BR0004P1111.01.01.018.447.359.812.170.16113.00.595.7213.013.010.017.02<NA>22.3921.6614.2
7교량도로교량1종BR0004P1211.01.01.017.085.999.812.170.16813.00.585.3213.013.010.016.86<NA>21.5521.1613.72
8교량도로교량1종BR0004P1311.01.01.015.554.469.812.170.17613.00.564.7713.013.010.016.66<NA>20.5620.5813.14
9교량도로교량1종BR0010P711.01.11.07.97.99.810.180.0223.90.3270.2823.923.910.6426.72<NA>14.8225.7216.89
시설물구분시설물종류종별시설물번호(비식별)세부위치(구분)교각 전면부형상에 대한 보정계수(K1)흐름의 유입각에 대한 보정계수(K2)하상조건에 대한 보정계수(K3)하상재료의 크기에 대한 보정계수(K4)교각 직상류측 수심(y)(m)교각수심_홍수시(y1)(m)중력 가속도교각 직상류부 유속(V1)푸르드 수(Fr1)교각폭(a)(m)교각폭에 대한 보정계수(K5)교각최대세굴심(CSU_ys)교각폭(b)(m)투영교각폭(b)(m)교각의 형상계수(Froehlich)평균입경(D50_0_01m)세굴심도(Froehlich_ys)(m)최대홍수위세굴심도(Laursen_ys)(m)세굴심도(Neill_ys)(m)세굴심_평균(m)
74교량도로교량1종BR0006P1411.01.11.028.07<NA>9.814.590.285.40.910.945.45.410.0110.12<NA>13.5613.2811.97
75교량도로교량1종BR0006P1511.01.11.026.89<NA>9.814.590.285.40.910.875.45.410.0110.05<NA>13.2613.1111.82
76교량도로교량1종BR0006P1611.01.11.026.89<NA>9.814.590.285.40.910.875.45.410.0110.05<NA>13.2613.1111.82
77교량도로교량1종BR0006P1711.01.11.024.06<NA>9.814.590.35.40.910.715.45.410.019.86<NA>12.5412.6811.45
78교량도로교량1종BR0006P1811.01.11.023.01<NA>9.814.590.315.40.910.645.45.410.019.79<NA>12.2612.5111.3
79교량도로교량1종BR0006P0111.01.11.016.76<NA>9.814.590.365.80.8910.565.85.810.019.9<NA>10.8311.9610.81
80교량도로교량1종BR0006P0211.01.11.022.03<NA>9.814.590.315.80.8910.985.85.810.0110.32<NA>12.4312.9811.68
81교량도로교량1종BR0006P0311.01.11.023.16<NA>9.814.590.35.80.8911.055.85.810.0110.4<NA>12.7513.1811.84
82교량도로교량1종BR0006P0411.01.11.021.93<NA>9.814.590.315.80.8910.975.85.810.0110.31<NA>12.412.9711.66
83교량도로교량1종BR0006P0511.01.11.016.47<NA>9.814.590.365.80.8910.545.85.810.019.87<NA>10.7311.910.76