Overview

Dataset statistics

Number of variables24
Number of observations154
Missing cells5
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.7 KiB
Average record size in memory210.9 B

Variable types

Numeric16
Text2
DateTime2
Categorical4

Dataset

Description한국농어촌공사 농업기반시설제원 방조제에 대한 정보입니다.방조제에 대한 기본정보(표준시설코드,시설명,소재지,착공년도,준공년도,종별,구분,유역면적,홍수면적,만수면적,수혜면적 등)을 제공합니다.<단위>면적 : ha한발빈도 : 년제체길이: m제체높이: m총저수량: 천톤유효저수량: 천톤사수량: 천톤만조위: EL.M포용조수량: 천톤대안거리: km홍수위/사수위/만수위: EL.m
Author한국농어촌공사
URLhttps://www.data.go.kr/data/15044341/fileData.do

Alerts

표준코드 has unique valuesUnique
홍수면적 has 144 (93.5%) zerosZeros
만수면적 has 94 (61.0%) zerosZeros
수혜면적 has 3 (1.9%) zerosZeros
총저수량 has 124 (80.5%) zerosZeros
유효저수량 has 124 (80.5%) zerosZeros
사수량 has 128 (83.1%) zerosZeros
홍수위 has 7 (4.5%) zerosZeros
만수위 has 8 (5.2%) zerosZeros
사수위 has 52 (33.8%) zerosZeros

Reproduction

Analysis started2024-04-06 09:01:28.157734
Analysis finished2024-04-06 09:01:29.113103
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

표준코드
Real number (ℝ)

UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.421953 × 109
Minimum2.87109 × 109
Maximum4.97109 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:29.245208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.87109 × 109
5-th percentile2.87109 × 109
Q14.47709 × 109
median4.67709 × 109
Q34.68909 × 109
95-th percentile4.82409 × 109
Maximum4.97109 × 109
Range2.1 × 109
Interquartile range (IQR)2.12 × 108

Descriptive statistics

Standard deviation5.6632208 × 108
Coefficient of variation (CV)0.12807058
Kurtosis3.4950099
Mean4.421953 × 109
Median Absolute Deviation (MAD)65000002
Skewness-2.2289056
Sum6.8098076 × 1011
Variance3.2072069 × 1017
MonotonicityStrictly increasing
2024-04-06T18:01:29.510031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2871090001 1
 
0.6%
4687090002 1
 
0.6%
4682090007 1
 
0.6%
4682090008 1
 
0.6%
4683090001 1
 
0.6%
4683090002 1
 
0.6%
4686090001 1
 
0.6%
4686090002 1
 
0.6%
4687090001 1
 
0.6%
4687090003 1
 
0.6%
Other values (144) 144
93.5%
ValueCountFrequency (%)
2871090001 1
0.6%
2871090002 1
0.6%
2871090003 1
0.6%
2871090004 1
0.6%
2871090005 1
0.6%
2871090006 1
0.6%
2871090007 1
0.6%
2871090008 1
0.6%
2871090009 1
0.6%
2871090010 1
0.6%
ValueCountFrequency (%)
4971090001 1
0.6%
4885090004 1
0.6%
4885090003 1
0.6%
4884090001 1
0.6%
4882090001 1
0.6%
4831090002 1
0.6%
4831090001 1
0.6%
4824090004 1
0.6%
4824090003 1
0.6%
4824090002 1
0.6%

시설명
Text

Distinct152
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T18:01:30.136671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4415584
Min length2

Characters and Unicode

Total characters376
Distinct characters141
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)97.4%

Sample

1st row구하
2nd row망월
3rd row황청
4th row난정
5th row대룡
ValueCountFrequency (%)
당산 2
 
1.3%
호동 2
 
1.3%
손불 1
 
0.6%
월송 1
 
0.6%
염산 1
 
0.6%
금호 1
 
0.6%
해남 1
 
0.6%
영산강하구둑 1
 
0.6%
영암방조제 1
 
0.6%
주포 1
 
0.6%
Other values (142) 142
92.2%
2024-04-06T18:01:31.018882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
포 16
 
4.3%
산 16
 
4.3%
대 9
 
2.4%
남 8
 
2.1%
구 8
 
2.1%
신 8
 
2.1%
송 7
 
1.9%
사 7
 
1.9%
동 7
 
1.9%
조 7
 
1.9%
Other values (131) 283
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
95.2%
Decimal Number 7
 
1.9%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 16
 
4.5%
산 16
 
4.5%
대 9
 
2.5%
남 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
송 7
 
2.0%
사 7
 
2.0%
동 7
 
2.0%
조 7
 
2.0%
Other values (125) 265
74.0%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
3 2
28.6%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
95.2%
Common 17
 
4.5%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 16
 
4.5%
산 16
 
4.5%
대 9
 
2.5%
남 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
송 7
 
2.0%
사 7
 
2.0%
동 7
 
2.0%
조 7
 
2.0%
Other values (125) 265
74.0%
Common
ValueCountFrequency (%)
( 5
29.4%
) 5
29.4%
2 3
17.6%
1 2
 
11.8%
3 2
 
11.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
95.2%
ASCII 18
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
포 16
 
4.5%
산 16
 
4.5%
대 9
 
2.5%
남 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
송 7
 
2.0%
사 7
 
2.0%
동 7
 
2.0%
조 7
 
2.0%
Other values (125) 265
74.0%
ASCII
ValueCountFrequency (%)
( 5
27.8%
) 5
27.8%
2 3
16.7%
1 2
 
11.1%
3 2
 
11.1%
A 1
 
5.6%

소재지
Text

Distinct138
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-06T18:01:31.514863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length16.032468
Min length12

Characters and Unicode

Total characters2469
Distinct characters168
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

Unique126 ?
Unique (%)81.8%

Sample

1st row인천광역시 강화군 내가면 구하리
2nd row인천광역시 강화군 하점면 망월리
3rd row인천광역시 강화군 내가면 황청리
4th row인천광역시 강화군 교동면 난정리
5th row인천광역시 강화군 교동면 대룡리
ValueCountFrequency (%)
전라남도 80
 
13.0%
충청남도 29
 
4.7%
인천광역시 17
 
2.8%
강화군 17
 
2.8%
신안군 15
 
2.4%
경상남도 11
 
1.8%
진도군 10
 
1.6%
전라북도 10
 
1.6%
보령시 8
 
1.3%
장흥군 8
 
1.3%
Other values (264) 410
66.7%
2024-04-06T18:01:32.231261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
18.7%
도 169
 
6.8%
리 149
 
6.0%
남 134
 
5.4%
면 123
 
5.0%
군 116
 
4.7%
전 92
 
3.7%
라 91
 
3.7%
시 60
 
2.4%
안 44
 
1.8%
Other values (158) 1030
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2008
81.3%
Space Separator 461
 
18.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 169
 
8.4%
리 149
 
7.4%
남 134
 
6.7%
면 123
 
6.1%
군 116
 
5.8%
전 92
 
4.6%
라 91
 
4.5%
시 60
 
3.0%
안 44
 
2.2%
산 41
 
2.0%
Other values (157) 989
49.3%
Space Separator
ValueCountFrequency (%)
461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2008
81.3%
Common 461
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 169
 
8.4%
리 149
 
7.4%
남 134
 
6.7%
면 123
 
6.1%
군 116
 
5.8%
전 92
 
4.6%
라 91
 
4.5%
시 60
 
3.0%
안 44
 
2.2%
산 41
 
2.0%
Other values (157) 989
49.3%
Common
ValueCountFrequency (%)
461
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2008
81.3%
ASCII 461
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
461
100.0%
Hangul
ValueCountFrequency (%)
도 169
 
8.4%
리 149
 
7.4%
남 134
 
6.7%
면 123
 
6.1%
군 116
 
5.8%
전 92
 
4.6%
라 91
 
4.5%
시 60
 
3.0%
안 44
 
2.2%
산 41
 
2.0%
Other values (157) 989
49.3%

착공년도
Date

Distinct132
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1900-01-01 00:00:00
Maximum1998-01-01 00:00:00
2024-04-06T18:01:32.473513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:01:32.701758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공년도
Date

Distinct120
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1901-01-01 00:00:00
Maximum2011-12-31 00:00:00
2024-04-06T18:01:32.953445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:01:33.190928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종별
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1
85 
2
69 

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 85
55.2%
2 69
44.8%

Length

2024-04-06T18:01:33.478502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:01:33.657308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
55.2%
2 69
44.8%

구분
Categorical

Distinct3
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주수원
113 
보조수원
26 
부속시설
15 

Length

Max length4
Median length3
Mean length3.2662338
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주수원 113
73.4%
보조수원 26
 
16.9%
부속시설 15
 
9.7%

Length

2024-04-06T18:01:33.856452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:01:34.035336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주수원 113
73.4%
보조수원 26
 
16.9%
부속시설 15
 
9.7%

유역면적
Real number (ℝ)

Distinct149
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13967.445
Minimum0
Maximum982800
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:34.274189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.872
Q1255
median809
Q32865
95-th percentile24152.95
Maximum982800
Range982800
Interquartile range (IQR)2610

Descriptive statistics

Standard deviation85502.013
Coefficient of variation (CV)6.1215214
Kurtosis110.68795
Mean13967.445
Median Absolute Deviation (MAD)680.885
Skewness10.093941
Sum2150986.5
Variance7.3105942 × 109
MonotonicityNot monotonic
2024-04-06T18:01:34.533382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5380.0 3
 
1.9%
215.0 2
 
1.3%
150.0 2
 
1.3%
12440.0 2
 
1.3%
579.0 1
 
0.6%
35500.0 1
 
0.6%
1200.0 1
 
0.6%
1681.6 1
 
0.6%
5709.0 1
 
0.6%
3061.0 1
 
0.6%
Other values (139) 139
90.3%
ValueCountFrequency (%)
0.0 1
0.6%
16.8 1
0.6%
30.0 1
0.6%
35.0 1
0.6%
35.46 1
0.6%
35.97 1
0.6%
40.0 1
0.6%
51.92 1
0.6%
58.0 1
0.6%
83.4 1
0.6%
ValueCountFrequency (%)
982800.0 1
0.6%
347000.0 1
0.6%
163950.0 1
0.6%
163400.0 1
0.6%
48770.0 1
0.6%
35500.0 1
0.6%
31215.0 1
0.6%
25217.0 1
0.6%
23580.0 1
0.6%
20900.0 1
0.6%

홍수면적
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)6.5%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean371.51895
Minimum0
Maximum26823
Zeros144
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:34.736177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30.24
Maximum26823
Range26823
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2466.2192
Coefficient of variation (CV)6.6382055
Kurtosis90.576857
Mean371.51895
Median Absolute Deviation (MAD)0
Skewness9.0174896
Sum56842.4
Variance6082236.9
MonotonicityNot monotonic
2024-04-06T18:01:35.318109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 144
93.5%
26823.0 1
 
0.6%
2443.0 1
 
0.6%
2832.0 1
 
0.6%
877.0 1
 
0.6%
4061.0 1
 
0.6%
10147.0 1
 
0.6%
9588.0 1
 
0.6%
63.0 1
 
0.6%
8.4 1
 
0.6%
(Missing) 1
 
0.6%
ValueCountFrequency (%)
0.0 144
93.5%
8.4 1
 
0.6%
63.0 1
 
0.6%
877.0 1
 
0.6%
2443.0 1
 
0.6%
2832.0 1
 
0.6%
4061.0 1
 
0.6%
9588.0 1
 
0.6%
10147.0 1
 
0.6%
26823.0 1
 
0.6%
ValueCountFrequency (%)
26823.0 1
 
0.6%
10147.0 1
 
0.6%
9588.0 1
 
0.6%
4061.0 1
 
0.6%
2832.0 1
 
0.6%
2443.0 1
 
0.6%
877.0 1
 
0.6%
63.0 1
 
0.6%
8.4 1
 
0.6%
0.0 144
93.5%

만수면적
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.23558
Minimum0
Maximum4286
Zeros94
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:35.636313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q373.425
95-th percentile1650.4
Maximum4286
Range4286
Interquartile range (IQR)73.425

Descriptive statistics

Standard deviation682.99503
Coefficient of variation (CV)2.8430219
Kurtosis16.119877
Mean240.23558
Median Absolute Deviation (MAD)0
Skewness3.9069479
Sum36996.28
Variance466482.22
MonotonicityNot monotonic
2024-04-06T18:01:35.903210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
61.0%
46.5 2
 
1.3%
760.0 2
 
1.3%
197.0 2
 
1.3%
72.0 2
 
1.3%
665.0 1
 
0.6%
3460.0 1
 
0.6%
4286.0 1
 
0.6%
148.62 1
 
0.6%
61.56 1
 
0.6%
Other values (47) 47
30.5%
ValueCountFrequency (%)
0.0 94
61.0%
5.0 1
 
0.6%
7.5 1
 
0.6%
8.1 1
 
0.6%
18.5 1
 
0.6%
30.5 1
 
0.6%
36.24 1
 
0.6%
38.0 1
 
0.6%
42.0 1
 
0.6%
46.5 2
 
1.3%
ValueCountFrequency (%)
4286.0 1
0.6%
3650.0 1
0.6%
3460.0 1
0.6%
2647.0 1
0.6%
2429.0 1
0.6%
2330.0 1
0.6%
2175.0 1
0.6%
2017.0 1
0.6%
1453.0 1
0.6%
1086.0 1
0.6%

수혜면적
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1262.9114
Minimum0
Maximum43000
Zeros3
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:36.142094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.975
Q151.23
median171.55
Q3602.75
95-th percentile5169.4
Maximum43000
Range43000
Interquartile range (IQR)551.52

Descriptive statistics

Standard deviation4417.5519
Coefficient of variation (CV)3.4979113
Kurtosis55.912185
Mean1262.9114
Median Absolute Deviation (MAD)139.55
Skewness6.8292034
Sum194488.35
Variance19514765
MonotonicityNot monotonic
2024-04-06T18:01:36.400279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1193.0 6
 
3.9%
30.0 4
 
2.6%
1071.0 3
 
1.9%
0.0 3
 
1.9%
51.0 3
 
1.9%
3636.0 3
 
1.9%
808.0 2
 
1.3%
49.0 2
 
1.3%
243.0 2
 
1.3%
28.0 2
 
1.3%
Other values (120) 124
80.5%
ValueCountFrequency (%)
0.0 3
1.9%
5.0 1
 
0.6%
12.0 1
 
0.6%
16.8 1
 
0.6%
18.0 1
 
0.6%
19.0 1
 
0.6%
20.5 1
 
0.6%
21.0 1
 
0.6%
21.7 1
 
0.6%
22.0 1
 
0.6%
ValueCountFrequency (%)
43000.0 1
 
0.6%
20700.0 1
 
0.6%
18000.0 1
 
0.6%
13675.0 1
 
0.6%
13160.0 1
 
0.6%
7840.0 1
 
0.6%
7419.0 1
 
0.6%
6446.0 1
 
0.6%
4482.0 1
 
0.6%
3636.0 3
1.9%

한발빈도
Categorical

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
10
108 
0
16 
100
15 
1
11 
<NA>
 
3

Length

Max length4
Median length2
Mean length1.9545455
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 108
70.1%
0 16
 
10.4%
100 15
 
9.7%
1 11
 
7.1%
<NA> 3
 
1.9%
5 1
 
0.6%

Length

2024-04-06T18:01:36.650046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:01:36.879838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 108
70.1%
0 16
 
10.4%
100 15
 
9.7%
1 11
 
7.1%
na 3
 
1.9%
5 1
 
0.6%

제체형식
Categorical

Distinct22
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
직립형
52 
토언제
20 
완경사형(사석+산토)
16 
석괴,토사혼성제
10 
콘크리트,석괴
10 
Other values (17)
46 

Length

Max length11
Median length3
Mean length4.7727273
Min length2

Unique

Unique7 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
직립형 52
33.8%
토언제 20
 
13.0%
완경사형(사석+산토) 16
 
10.4%
석괴,토사혼성제 10
 
6.5%
콘크리트,석괴 10
 
6.5%
토언체 7
 
4.5%
경사형 6
 
3.9%
사석 4
 
2.6%
토공경사 4
 
2.6%
경사형혼성제 4
 
2.6%
Other values (12) 21
13.6%

Length

2024-04-06T18:01:37.084311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
직립형 52
33.8%
토언제 20
 
13.0%
완경사형(사석+산토 16
 
10.4%
석괴,토사혼성제 10
 
6.5%
콘크리트,석괴 10
 
6.5%
토언체 7
 
4.5%
경사형 6
 
3.9%
사석 4
 
2.6%
토공경사 4
 
2.6%
경사형혼성제 4
 
2.6%
Other values (12) 21
13.6%

제체길이
Real number (ℝ)

Distinct146
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1850.1519
Minimum86
Maximum28759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:37.307979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile235.9
Q1508.75
median1062.5
Q32084
95-th percentile5773.5
Maximum28759
Range28673
Interquartile range (IQR)1575.25

Descriptive statistics

Standard deviation2853.6688
Coefficient of variation (CV)1.542397
Kurtosis52.233361
Mean1850.1519
Median Absolute Deviation (MAD)634.5
Skewness6.1159156
Sum284923.4
Variance8143425.4
MonotonicityNot monotonic
2024-04-06T18:01:37.569883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500.0 2
 
1.3%
300.0 2
 
1.3%
530.0 2
 
1.3%
1050.0 2
 
1.3%
500.0 2
 
1.3%
600.0 2
 
1.3%
1300.0 2
 
1.3%
1116.0 2
 
1.3%
10663.0 1
 
0.6%
1522.0 1
 
0.6%
Other values (136) 136
88.3%
ValueCountFrequency (%)
86.0 1
0.6%
185.0 1
0.6%
205.0 1
0.6%
207.0 1
0.6%
212.0 1
0.6%
220.0 1
0.6%
226.0 1
0.6%
232.0 1
0.6%
238.0 1
0.6%
242.0 1
0.6%
ValueCountFrequency (%)
28759.0 1
0.6%
10663.0 1
0.6%
9810.0 1
0.6%
8163.0 1
0.6%
7807.0 1
0.6%
6606.0 1
0.6%
6458.0 1
0.6%
6170.0 1
0.6%
5560.0 1
0.6%
5297.0 1
0.6%

제체높이
Real number (ℝ)

Distinct68
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2771429
Minimum1.5
Maximum25.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:37.892701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2
Q12.525
median4
Q36
95-th percentile13.475
Maximum25.9
Range24.4
Interquartile range (IQR)3.475

Descriptive statistics

Standard deviation4.077818
Coefficient of variation (CV)0.77273216
Kurtosis5.9656948
Mean5.2771429
Median Absolute Deviation (MAD)1.5
Skewness2.2781317
Sum812.68
Variance16.6286
MonotonicityNot monotonic
2024-04-06T18:01:38.137840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 14
 
9.1%
2.0 13
 
8.4%
4.5 10
 
6.5%
3.0 9
 
5.8%
4.0 9
 
5.8%
5.0 6
 
3.9%
6.0 4
 
2.6%
4.4 3
 
1.9%
2.3 3
 
1.9%
2.7 3
 
1.9%
Other values (58) 80
51.9%
ValueCountFrequency (%)
1.5 1
 
0.6%
1.6 1
 
0.6%
1.8 1
 
0.6%
1.9 3
 
1.9%
2.0 13
8.4%
2.1 1
 
0.6%
2.3 3
 
1.9%
2.4 2
 
1.3%
2.5 14
9.1%
2.6 2
 
1.3%
ValueCountFrequency (%)
25.9 1
0.6%
19.5 1
0.6%
18.4 1
0.6%
18.3 1
0.6%
18.2 1
0.6%
16.6 1
0.6%
14.69 1
0.6%
13.8 1
0.6%
13.3 1
0.6%
13.1 2
1.3%

총저수량
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean12765.323
Minimum0
Maximum457340
Zeros124
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:38.341387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile90041.2
Maximum457340
Range457340
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51181.878
Coefficient of variation (CV)4.0094462
Kurtosis42.909957
Mean12765.323
Median Absolute Deviation (MAD)0
Skewness6.0243048
Sum1953094.5
Variance2.6195846 × 109
MonotonicityNot monotonic
2024-04-06T18:01:38.561487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 124
80.5%
21140.0 3
 
1.9%
14610.0 1
 
0.6%
10568.0 1
 
0.6%
934.0 1
 
0.6%
3369.0 1
 
0.6%
98.49 1
 
0.6%
2519.0 1
 
0.6%
244570.0 1
 
0.6%
253217.0 1
 
0.6%
Other values (18) 18
 
11.7%
ValueCountFrequency (%)
0.0 124
80.5%
98.49 1
 
0.6%
934.0 1
 
0.6%
2519.0 1
 
0.6%
3369.0 1
 
0.6%
6040.0 1
 
0.6%
6870.0 1
 
0.6%
7458.0 1
 
0.6%
9440.0 1
 
0.6%
10568.0 1
 
0.6%
ValueCountFrequency (%)
457340.0 1
0.6%
253217.0 1
0.6%
244570.0 1
0.6%
138000.0 1
0.6%
133120.0 1
0.6%
122000.0 1
0.6%
115900.0 1
0.6%
98980.0 1
0.6%
84082.0 1
0.6%
54440.0 1
0.6%

유효저수량
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean8404.6641
Minimum0
Maximum320690
Zeros124
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:38.767508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45572
Maximum320690
Range320690
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34680.25
Coefficient of variation (CV)4.12631
Kurtosis48.588421
Mean8404.6641
Median Absolute Deviation (MAD)0
Skewness6.4227903
Sum1285913.6
Variance1.2027197 × 109
MonotonicityNot monotonic
2024-04-06T18:01:39.019547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 124
80.5%
15290.0 3
 
1.9%
9100.0 1
 
0.6%
3866.0 1
 
0.6%
887.0 1
 
0.6%
3348.0 1
 
0.6%
90.6 1
 
0.6%
2254.0 1
 
0.6%
138850.0 1
 
0.6%
180920.0 1
 
0.6%
Other values (18) 18
 
11.7%
ValueCountFrequency (%)
0.0 124
80.5%
90.6 1
 
0.6%
887.0 1
 
0.6%
2254.0 1
 
0.6%
3348.0 1
 
0.6%
3866.0 1
 
0.6%
5440.0 1
 
0.6%
6180.0 1
 
0.6%
7458.0 1
 
0.6%
9100.0 1
 
0.6%
ValueCountFrequency (%)
320690.0 1
0.6%
180920.0 1
0.6%
138850.0 1
0.6%
122000.0 1
0.6%
82892.0 1
0.6%
75255.0 1
0.6%
62787.0 1
0.6%
46460.0 1
0.6%
44980.0 1
0.6%
28160.0 1
0.6%

사수량
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4332.3434
Minimum0
Maximum136650
Zeros128
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:39.235270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19333.95
Maximum136650
Range136650
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17822.754
Coefficient of variation (CV)4.1138829
Kurtosis29.784921
Mean4332.3434
Median Absolute Deviation (MAD)0
Skewness5.2556453
Sum667180.89
Variance3.1765054 × 108
MonotonicityNot monotonic
2024-04-06T18:01:39.844467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 128
83.1%
5850.0 3
 
1.9%
136650.0 1
 
0.6%
6702.0 1
 
0.6%
47.0 1
 
0.6%
21.0 1
 
0.6%
7.89 1
 
0.6%
265.0 1
 
0.6%
105720.0 1
 
0.6%
72297.0 1
 
0.6%
Other values (15) 15
 
9.7%
ValueCountFrequency (%)
0.0 128
83.1%
7.89 1
 
0.6%
21.0 1
 
0.6%
47.0 1
 
0.6%
170.0 1
 
0.6%
265.0 1
 
0.6%
600.0 1
 
0.6%
690.0 1
 
0.6%
2030.0 1
 
0.6%
5510.0 1
 
0.6%
ValueCountFrequency (%)
136650.0 1
0.6%
105720.0 1
0.6%
75540.0 1
0.6%
72297.0 1
0.6%
70920.0 1
0.6%
57865.0 1
0.6%
26280.0 1
0.6%
21295.0 1
0.6%
18278.0 1
0.6%
16088.0 1
0.6%

만조위
Real number (ℝ)

Distinct74
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.752013
Minimum0.73
Maximum7.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:40.079992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.73
5-th percentile0.95
Q11.54
median2.315
Q34.0275
95-th percentile4.7
Maximum7.4
Range6.67
Interquartile range (IQR)2.4875

Descriptive statistics

Standard deviation1.473058
Coefficient of variation (CV)0.53526564
Kurtosis0.75655924
Mean2.752013
Median Absolute Deviation (MAD)1
Skewness0.94063004
Sum423.81
Variance2.1698998
MonotonicityNot monotonic
2024-04-06T18:01:40.347581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7 18
 
11.7%
1.48 9
 
5.8%
0.95 6
 
3.9%
4.6 5
 
3.2%
2.3 5
 
3.2%
4.5 4
 
2.6%
4.06 4
 
2.6%
2.4 4
 
2.6%
1.2 4
 
2.6%
4.2 4
 
2.6%
Other values (64) 91
59.1%
ValueCountFrequency (%)
0.73 1
 
0.6%
0.9 3
1.9%
0.91 1
 
0.6%
0.95 6
3.9%
1.0 1
 
0.6%
1.14 1
 
0.6%
1.16 1
 
0.6%
1.17 1
 
0.6%
1.18 1
 
0.6%
1.2 4
2.6%
ValueCountFrequency (%)
7.4 4
2.6%
6.5 1
 
0.6%
5.46 1
 
0.6%
4.9 1
 
0.6%
4.7 2
 
1.3%
4.6 5
3.2%
4.52 1
 
0.6%
4.5 4
2.6%
4.47 1
 
0.6%
4.3 1
 
0.6%

포용조수량
Real number (ℝ)

Distinct141
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48914.537
Minimum1
Maximum1223000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:40.612670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile179.65
Q1862.5
median5521.5
Q311878.5
95-th percentile206963.7
Maximum1223000
Range1222999
Interquartile range (IQR)11016

Descriptive statistics

Standard deviation169579.61
Coefficient of variation (CV)3.4668551
Kurtosis25.493366
Mean48914.537
Median Absolute Deviation (MAD)4822.5
Skewness4.9476414
Sum7532838.7
Variance2.8757245 × 1010
MonotonicityNot monotonic
2024-04-06T18:01:40.924606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26050.0 6
 
3.9%
10262.0 3
 
1.9%
794394.0 3
 
1.9%
10460.0 2
 
1.3%
5224.0 2
 
1.3%
11064.0 2
 
1.3%
180.0 2
 
1.3%
330.0 1
 
0.6%
12436.0 1
 
0.6%
11902.0 1
 
0.6%
Other values (131) 131
85.1%
ValueCountFrequency (%)
1.0 1
0.6%
2.3 1
0.6%
100.0 1
0.6%
120.0 1
0.6%
135.0 1
0.6%
142.0 1
0.6%
169.0 1
0.6%
179.0 1
0.6%
180.0 2
1.3%
182.0 1
0.6%
ValueCountFrequency (%)
1223000.0 1
 
0.6%
930650.0 1
 
0.6%
794394.0 3
1.9%
491400.0 1
 
0.6%
253000.0 1
 
0.6%
244600.0 1
 
0.6%
186698.0 1
 
0.6%
157285.0 1
 
0.6%
133100.0 1
 
0.6%
123000.0 1
 
0.6%

대안거리
Real number (ℝ)

Distinct80
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3002597
Minimum0.09
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-06T18:01:41.232493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.8
Q12.5
median4.75
Q311.975
95-th percentile29.35
Maximum200
Range199.91
Interquartile range (IQR)9.475

Descriptive statistics

Standard deviation17.712851
Coefficient of variation (CV)1.9045544
Kurtosis88.706468
Mean9.3002597
Median Absolute Deviation (MAD)3.15
Skewness8.4713116
Sum1432.24
Variance313.74509
MonotonicityNot monotonic
2024-04-06T18:01:41.546486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 11
 
7.1%
10.0 6
 
3.9%
4.5 6
 
3.9%
2.5 6
 
3.9%
4.0 5
 
3.2%
5.5 5
 
3.2%
3.0 5
 
3.2%
6.0 5
 
3.2%
2.0 4
 
2.6%
3.5 4
 
2.6%
Other values (70) 97
63.0%
ValueCountFrequency (%)
0.09 1
 
0.6%
0.3 1
 
0.6%
0.4 1
 
0.6%
0.5 1
 
0.6%
0.6 1
 
0.6%
0.65 1
 
0.6%
0.7 1
 
0.6%
0.8 2
1.3%
0.9 3
1.9%
1.0 2
1.3%
ValueCountFrequency (%)
200.0 1
0.6%
50.0 1
0.6%
43.0 1
0.6%
38.7 1
0.6%
35.0 1
0.6%
31.0 1
0.6%
30.0 2
1.3%
29.0 1
0.6%
25.0 1
0.6%
24.9 1
0.6%

홍수위
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)58.2%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.2073856
Minimum-3
Maximum6.8
Zeros7
Zeros (%)4.5%
Negative3
Negative (%)1.9%
Memory size1.5 KiB
2024-04-06T18:01:41.863391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile0
Q11
median2.1
Q33
95-th percentile5.42
Maximum6.8
Range9.8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7223319
Coefficient of variation (CV)0.78025875
Kurtosis0.75452765
Mean2.2073856
Median Absolute Deviation (MAD)1
Skewness0.58632701
Sum337.73
Variance2.9664273
MonotonicityNot monotonic
2024-04-06T18:01:42.101493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.16 8
 
5.2%
1.1 7
 
4.5%
0.0 7
 
4.5%
1.2 6
 
3.9%
2.78 4
 
2.6%
2.7 4
 
2.6%
3.0 4
 
2.6%
2.4 4
 
2.6%
2.8 3
 
1.9%
0.7 3
 
1.9%
Other values (79) 103
66.9%
ValueCountFrequency (%)
-3.0 1
 
0.6%
-1.9 1
 
0.6%
-0.42 1
 
0.6%
0.0 7
4.5%
0.09 1
 
0.6%
0.1 1
 
0.6%
0.22 1
 
0.6%
0.23 1
 
0.6%
0.25 1
 
0.6%
0.27 1
 
0.6%
ValueCountFrequency (%)
6.8 3
1.9%
6.7 2
1.3%
6.5 1
 
0.6%
6.0 1
 
0.6%
5.6 1
 
0.6%
5.3 1
 
0.6%
5.28 1
 
0.6%
5.1 1
 
0.6%
4.94 1
 
0.6%
4.7 1
 
0.6%

만수위
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4890909
Minimum-2
Maximum6.5
Zeros8
Zeros (%)5.2%
Negative26
Negative (%)16.9%
Memory size1.5 KiB
2024-04-06T18:01:42.442439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-1.5175
Q10.385
median1.435
Q32.6
95-th percentile5
Maximum6.5
Range8.5
Interquartile range (IQR)2.215

Descriptive statistics

Standard deviation1.8029335
Coefficient of variation (CV)1.2107612
Kurtosis-0.27223987
Mean1.4890909
Median Absolute Deviation (MAD)1.095
Skewness0.25466912
Sum229.32
Variance3.2505691
MonotonicityNot monotonic
2024-04-06T18:01:42.706575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
5.2%
1.48 7
 
4.5%
2.0 7
 
4.5%
2.5 6
 
3.9%
1.2 5
 
3.2%
0.6 4
 
2.6%
1.0 4
 
2.6%
0.5 4
 
2.6%
-0.5 4
 
2.6%
0.38 3
 
1.9%
Other values (71) 102
66.2%
ValueCountFrequency (%)
-2.0 1
0.6%
-1.8 1
0.6%
-1.73 1
0.6%
-1.7 2
1.3%
-1.6 2
1.3%
-1.55 1
0.6%
-1.5 2
1.3%
-1.45 1
0.6%
-1.4 1
0.6%
-1.35 1
0.6%
ValueCountFrequency (%)
6.5 1
 
0.6%
5.4 1
 
0.6%
5.2 3
1.9%
5.1 2
1.3%
5.0 2
1.3%
4.83 1
 
0.6%
4.21 1
 
0.6%
4.2 1
 
0.6%
3.98 2
1.3%
3.94 1
 
0.6%

사수위
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)32.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean-0.60928105
Minimum-6.35
Maximum2.84
Zeros52
Zeros (%)33.8%
Negative46
Negative (%)29.9%
Memory size1.5 KiB
2024-04-06T18:01:42.922157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.35
5-th percentile-4.2
Q1-1.5
median0
Q30.3
95-th percentile1.008
Maximum2.84
Range9.19
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.6663722
Coefficient of variation (CV)-2.7349811
Kurtosis1.8012659
Mean-0.60928105
Median Absolute Deviation (MAD)0.3
Skewness-1.3775414
Sum-93.22
Variance2.7767962
MonotonicityNot monotonic
2024-04-06T18:01:43.174616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 52
33.8%
0.3 15
 
9.7%
0.1 7
 
4.5%
0.5 6
 
3.9%
-1.5 5
 
3.2%
0.2 4
 
2.6%
-5.0 4
 
2.6%
-2.3 4
 
2.6%
0.4 4
 
2.6%
-3.0 3
 
1.9%
Other values (39) 49
31.8%
ValueCountFrequency (%)
-6.35 2
1.3%
-5.0 4
2.6%
-4.65 1
 
0.6%
-4.5 1
 
0.6%
-4.0 2
1.3%
-3.9 1
 
0.6%
-3.7 1
 
0.6%
-3.65 1
 
0.6%
-3.5 1
 
0.6%
-3.3 1
 
0.6%
ValueCountFrequency (%)
2.84 1
0.6%
2.11 1
0.6%
2.1 1
0.6%
2.01 1
0.6%
1.89 1
0.6%
1.63 1
0.6%
1.2 1
0.6%
1.02 1
0.6%
1.0 2
1.3%
0.89 1
0.6%

Sample

표준코드시설명소재지착공년도준공년도종별구분유역면적홍수면적만수면적수혜면적한발빈도제체형식제체길이제체높이총저수량유효저수량사수량만조위포용조수량대안거리홍수위만수위사수위
02871090001구하인천광역시 강화군 내가면 구하리1950-05-021957-12-201주수원40.00.00.01071.010토언제2359.02.50.00.00.04.610262.010.06.85.20.3
12871090002망월인천광역시 강화군 하점면 망월리1950-06-021957-12-201주수원5360.00.00.01071.010토언제3292.02.50.00.00.04.610262.010.06.85.20.5
22871090003황청인천광역시 강화군 내가면 황청리1950-05-021957-12-261주수원206.00.00.01071.010토언제692.02.50.00.00.04.610262.010.00.00.00.3
32871090004난정인천광역시 강화군 교동면 난정리1956-06-011964-12-241주수원440.00.00.01193.010토언제1200.02.00.00.00.04.526050.015.05.35.00.5
42871090005대룡인천광역시 강화군 교동면 대룡리1956-06-041964-12-211주수원130.00.00.01193.010토언제2022.01.90.00.00.03.626050.015.06.04.20.3
52871090006무학인천광역시 강화군 교동면 무학리1956-05-041964-12-211주수원1346.00.00.01193.010토언제825.03.00.00.00.02.326050.015.03.02.770.3
62871090007양갑인천광역시 강화군 교동면 대룡리1956-04-011964-12-201주수원150.00.00.01193.010토언제1541.01.90.00.00.02.7726050.015.00.00.00.3
72871090008인사인천광역시 강화군 교동면 고구리1956-04-101964-12-241주수원810.00.00.01193.010토언제3150.01.80.00.00.02.326050.014.00.00.00.3
82871090009지석인천광역시 강화군 교동면 지석리1956-04-111964-12-201주수원110.00.00.01193.010토언제1516.02.00.00.00.02.326050.015.00.00.00.3
92871090010길상3인천광역시 강화군 길상면 장흥리1952-05-021962-12-201주수원783.00.00.0313.010토언제1291.03.60.00.00.04.67830.015.06.85.20.5
표준코드시설명소재지착공년도준공년도종별구분유역면적홍수면적만수면적수혜면적한발빈도제체형식제체길이제체높이총저수량유효저수량사수량만조위포용조수량대안거리홍수위만수위사수위
1444824090002산전경상남도 사천시 서포면 외구리1928-01-011936-01-011부속시설926.00.0206.0206.00토언체3704.04.960.00.00.01.27767.05.11.21.2-2.3
1454824090003내구경상남도 사천시 서포면 내구리1963-01-011968-12-311부속시설680.00.0197.0132.30토언체296.06.540.00.00.01.25237.07.91.21.2-2.3
1464824090004구랑경상남도 사천시 서포면 구랑리1960-10-071963-01-011보조수원270.00.0197.0197.00토언체264.05.680.00.00.01.25512.03.51.21.2-2.3
1474831090001남동경상남도 거제시 거제면 남동리1965-10-161971-01-012부속시설282.00.00.030.010토언체650.03.20.00.00.00.9760.02.21.90.40.0
1484831090002외간경상남도 거제시 거제면 외간리1975-12-011984-01-012부속시설1550.00.00.020.510토언체1090.04.50.00.00.00.9498.010.7-1.90.40.0
1494882090001거산경상남도 고성군 마암면 삼락리1952-01-011960-01-011부속시설7520.00.0114.96114.010토언체498.04.10.00.00.00.95108.04.31.90.40.0
1504884090001대사경상남도 남해군 고현면 대사리1944-01-011945-01-012부속시설1497.08.40.028.010토언제368.02.70.00.00.03.94280.02.171.851.851.0
1514885090003송원경상남도 하동군 진교면 송원리1954-01-011958-01-011주수원1159.00.00.0119.210토언제3035.04.50.00.00.03.945117.02.11.491.39-0.5
1524885090004하사(갈사)경상남도 하동군 금성면 가덕리1965-01-011972-01-012부속시설1690.00.00.0403.010토언제3122.04.50.00.00.04.17360.00.81.491.390.53
1534971090001종달제주특별자치도 제주시 구좌읍 종달리1957-03-301960-12-312부속시설35.00.00.030.01토공경사242.01.9<NA><NA>0.02.292.30.092.31.50.5