Overview

Dataset statistics

Number of variables24
Number of observations164
Missing cells6
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.8 KiB
Average record size in memory210.8 B

Variable types

Numeric16
Text2
DateTime2
Categorical4

Dataset

Description농업기반시설물 시설제원
Author한국농어촌공사
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220214000000001857

Alerts

만조위 (EL.m) has 2 (1.2%) missing valuesMissing
표준코드 has unique valuesUnique
홍수면적 (ha) has 152 (92.7%) zerosZeros
만수면적 (ha) has 103 (62.8%) zerosZeros
수혜면적 (ha) has 2 (1.2%) zerosZeros
총저수량 (천톤) has 136 (82.9%) zerosZeros
유효저수량 (천톤) has 136 (82.9%) zerosZeros
사수량 (천톤) has 140 (85.4%) zerosZeros
홍수위 (EL.m) has 7 (4.3%) zerosZeros
만수위 (EL.m) has 7 (4.3%) zerosZeros
사수위 (EL.m) has 53 (32.3%) zerosZeros

Reproduction

Analysis started2023-12-11 03:29:35.820258
Analysis finished2023-12-11 03:29:36.178701
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

표준코드
Real number (ℝ)

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4300589 × 109
Minimum2.87109 × 109
Maximum4.97109 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:36.258442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.87109 × 109
5-th percentile2.87109 × 109
Q14.48159 × 109
median4.62309 × 109
Q34.68909 × 109
95-th percentile4.82409 × 109
Maximum4.97109 × 109
Range2.1 × 109
Interquartile range (IQR)2.075 × 108

Descriptive statistics

Standard deviation5.5017136 × 108
Coefficient of variation (CV)0.12419053
Kurtosis3.976775
Mean4.4300589 × 109
Median Absolute Deviation (MAD)68000007
Skewness-2.321127
Sum7.2652966 × 1011
Variance3.0268853 × 1017
MonotonicityStrictly increasing
2023-12-11T12:29:36.422375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2871090001 1
 
0.6%
4682090002 1
 
0.6%
4682090005 1
 
0.6%
4682090006 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%
Other values (154) 154
93.9%
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%
4885090005 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%

시설명
Text

Distinct161
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T12:29:36.736372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3719512
Min length2

Characters and Unicode

Total characters389
Distinct characters143
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

Unique158 ?
Unique (%)96.3%

Sample

1st row구하
2nd row망월
3rd row황청
4th row난정
5th row대룡
ValueCountFrequency (%)
당산 2
 
1.2%
호동 2
 
1.2%
대송 2
 
1.2%
송원 1
 
0.6%
영암 1
 
0.6%
구하 1
 
0.6%
백포 1
 
0.6%
화원 1
 
0.6%
연당 1
 
0.6%
금호 1
 
0.6%
Other values (151) 151
92.1%
2023-12-11T12:29:37.190843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
포 18
 
4.6%
산 17
 
4.4%
대 11
 
2.8%
송 8
 
2.1%
구 8
 
2.1%
신 8
 
2.1%
남 8
 
2.1%
동 7
 
1.8%
도 6
 
1.5%
사 6
 
1.5%
Other values (133) 292
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 371
95.4%
Decimal Number 7
 
1.8%
Open Punctuation 5
 
1.3%
Close Punctuation 5
 
1.3%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 18
 
4.9%
산 17
 
4.6%
대 11
 
3.0%
송 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
남 8
 
2.2%
동 7
 
1.9%
도 6
 
1.6%
사 6
 
1.6%
Other values (127) 274
73.9%
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 371
95.4%
Common 17
 
4.4%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 18
 
4.9%
산 17
 
4.6%
대 11
 
3.0%
송 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
남 8
 
2.2%
동 7
 
1.9%
도 6
 
1.6%
사 6
 
1.6%
Other values (127) 274
73.9%
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 371
95.4%
ASCII 18
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
포 18
 
4.9%
산 17
 
4.6%
대 11
 
3.0%
송 8
 
2.2%
구 8
 
2.2%
신 8
 
2.2%
남 8
 
2.2%
동 7
 
1.9%
도 6
 
1.6%
사 6
 
1.6%
Other values (127) 274
73.9%
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

Distinct147
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T12:29:37.522832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length16.006098
Min length12

Characters and Unicode

Total characters2625
Distinct characters176
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

Unique134 ?
Unique (%)81.7%

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 79
 
12.1%
충청남도 28
 
4.3%
전라북도 21
 
3.2%
인천광역시 17
 
2.6%
강화군 17
 
2.6%
신안군 15
 
2.3%
경상남도 12
 
1.8%
진도군 10
 
1.5%
장흥군 8
 
1.2%
보령시 8
 
1.2%
Other values (281) 439
67.1%
2023-12-11T12:29:37.946933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
490
18.7%
도 176
 
6.7%
리 158
 
6.0%
남 133
 
5.1%
면 129
 
4.9%
군 121
 
4.6%
전 103
 
3.9%
라 101
 
3.8%
시 68
 
2.6%
산 48
 
1.8%
Other values (166) 1098
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2135
81.3%
Space Separator 490
 
18.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 176
 
8.2%
리 158
 
7.4%
남 133
 
6.2%
면 129
 
6.0%
군 121
 
5.7%
전 103
 
4.8%
라 101
 
4.7%
시 68
 
3.2%
산 48
 
2.2%
안 46
 
2.2%
Other values (165) 1052
49.3%
Space Separator
ValueCountFrequency (%)
490
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2135
81.3%
Common 490
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 176
 
8.2%
리 158
 
7.4%
남 133
 
6.2%
면 129
 
6.0%
군 121
 
5.7%
전 103
 
4.8%
라 101
 
4.7%
시 68
 
3.2%
산 48
 
2.2%
안 46
 
2.2%
Other values (165) 1052
49.3%
Common
ValueCountFrequency (%)
490
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2135
81.3%
ASCII 490
 
18.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
490
100.0%
Hangul
ValueCountFrequency (%)
도 176
 
8.2%
리 158
 
7.4%
남 133
 
6.2%
면 129
 
6.0%
군 121
 
5.7%
전 103
 
4.8%
라 101
 
4.7%
시 68
 
3.2%
산 48
 
2.2%
안 46
 
2.2%
Other values (165) 1052
49.3%

착공년도
Date

Distinct136
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1900-01-01 00:00:00
Maximum1998-01-01 00:00:00
2023-12-11T12:29:38.144498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:29:38.358186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

준공년도
Date

Distinct125
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1901-01-01 00:00:00
Maximum2009-01-23 00:00:00
2023-12-11T12:29:38.524866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:29:38.679980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종별
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
93 
2
71 

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 93
56.7%
2 71
43.3%

Length

2023-12-11T12:29:38.808208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:29:38.910063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
56.7%
2 71
43.3%

구분
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
주수원
107 
부속시설
31 
보조수원
26 

Length

Max length4
Median length3
Mean length3.347561
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주수원 107
65.2%
부속시설 31
 
18.9%
보조수원 26
 
15.9%

Length

2023-12-11T12:29:39.017967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:29:39.117087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주수원 107
65.2%
부속시설 31
 
18.9%
보조수원 26
 
15.9%

유역면적 (ha)
Real number (ℝ)

Distinct160
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13119.882
Minimum16.8
Maximum982800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:39.241613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.8
5-th percentile83.64
Q1279.15
median809
Q32713.5
95-th percentile23178
Maximum982800
Range982783.2
Interquartile range (IQR)2434.35

Descriptive statistics

Standard deviation82899.788
Coefficient of variation (CV)6.3186383
Kurtosis117.90942
Mean13119.882
Median Absolute Deviation (MAD)660
Skewness10.417681
Sum2151660.6
Variance6.8723749 × 109
MonotonicityNot monotonic
2023-12-11T12:29:39.393492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5380.0 3
 
1.8%
215.0 2
 
1.2%
150.0 2
 
1.2%
5709.0 1
 
0.6%
497.0 1
 
0.6%
18400.0 1
 
0.6%
18130.0 1
 
0.6%
347000.0 1
 
0.6%
35500.0 1
 
0.6%
1200.0 1
 
0.6%
Other values (150) 150
91.5%
ValueCountFrequency (%)
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%
85.0 1
0.6%
ValueCountFrequency (%)
982800.0 1
0.6%
347000.0 1
0.6%
163950.0 1
0.6%
163400.0 1
0.6%
48800.0 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 (ha)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.50854
Minimum0
Maximum26823
Zeros152
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:39.513685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile834.85
Maximum26823
Range26823
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2392.3542
Coefficient of variation (CV)6.3204763
Kurtosis95.190986
Mean378.50854
Median Absolute Deviation (MAD)0
Skewness9.2026058
Sum62075.4
Variance5723358.8
MonotonicityNot monotonic
2023-12-11T12:29:39.617936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 152
92.7%
26823.0 1
 
0.6%
2443.0 1
 
0.6%
2832.0 1
 
0.6%
877.0 1
 
0.6%
429.0 1
 
0.6%
2887.0 1
 
0.6%
1384.0 1
 
0.6%
596.0 1
 
0.6%
4061.0 1
 
0.6%
Other values (3) 3
 
1.8%
ValueCountFrequency (%)
0.0 152
92.7%
8.4 1
 
0.6%
429.0 1
 
0.6%
596.0 1
 
0.6%
877.0 1
 
0.6%
1384.0 1
 
0.6%
2443.0 1
 
0.6%
2832.0 1
 
0.6%
2887.0 1
 
0.6%
4061.0 1
 
0.6%
ValueCountFrequency (%)
26823.0 1
0.6%
10147.0 1
0.6%
9588.0 1
0.6%
4061.0 1
0.6%
2887.0 1
0.6%
2832.0 1
0.6%
2443.0 1
0.6%
1384.0 1
0.6%
877.0 1
0.6%
596.0 1
0.6%

만수면적 (ha)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254.81415
Minimum0
Maximum4286
Zeros103
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:39.749634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q373.925
95-th percentile1932.4
Maximum4286
Range4286
Interquartile range (IQR)73.925

Descriptive statistics

Standard deviation698.97411
Coefficient of variation (CV)2.7430742
Kurtosis14.102323
Mean254.81415
Median Absolute Deviation (MAD)0
Skewness3.6671096
Sum41789.52
Variance488564.81
MonotonicityNot monotonic
2023-12-11T12:29:39.879385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 103
62.8%
197.0 2
 
1.2%
46.5 2
 
1.2%
72.0 2
 
1.2%
760.0 2
 
1.2%
114.96 1
 
0.6%
192.1 1
 
0.6%
1086.0 1
 
0.6%
818.0 1
 
0.6%
2330.0 1
 
0.6%
Other values (48) 48
29.3%
ValueCountFrequency (%)
0.0 103
62.8%
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
 
1.2%
ValueCountFrequency (%)
4286.0 1
0.6%
3650.0 1
0.6%
3460.0 1
0.6%
2887.0 1
0.6%
2443.0 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%

수혜면적 (ha)
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1232.2131
Minimum0
Maximum43000
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:40.017094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.105
Q151.74
median186.25
Q3639
95-th percentile4355.1
Maximum43000
Range43000
Interquartile range (IQR)587.26

Descriptive statistics

Standard deviation4286.5481
Coefficient of variation (CV)3.4787393
Kurtosis59.437728
Mean1232.2131
Median Absolute Deviation (MAD)154.25
Skewness7.0322615
Sum202082.95
Variance18374495
MonotonicityNot monotonic
2023-12-11T12:29:40.461595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1193.0 6
 
3.7%
30.0 4
 
2.4%
51.0 4
 
2.4%
3636.0 3
 
1.8%
1071.0 3
 
1.8%
243.0 2
 
1.2%
0.0 2
 
1.2%
808.0 2
 
1.2%
32.0 2
 
1.2%
197.0 2
 
1.2%
Other values (131) 134
81.7%
ValueCountFrequency (%)
0.0 2
1.2%
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
1.8%

한발빈도
Categorical

Distinct6
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
10
114 
0
21 
100
15 
1
 
11
<NA>
 
2

Length

Max length4
Median length2
Mean length1.9146341
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
10 114
69.5%
0 21
 
12.8%
100 15
 
9.1%
1 11
 
6.7%
<NA> 2
 
1.2%
5 1
 
0.6%

Length

2023-12-11T12:29:40.607544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:29:40.762184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 114
69.5%
0 21
 
12.8%
100 15
 
9.1%
1 11
 
6.7%
na 2
 
1.2%
5 1
 
0.6%

제체형식
Categorical

Distinct24
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
직립형
51 
토언제
26 
완경사형(사석+산토)
16 
콘크리트,석괴
10 
석괴,토사혼성제
10 
Other values (19)
51 

Length

Max length11
Median length3
Mean length4.7195122
Min length2

Unique

Unique8 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
직립형 51
31.1%
토언제 26
15.9%
완경사형(사석+산토) 16
 
9.8%
콘크리트,석괴 10
 
6.1%
석괴,토사혼성제 10
 
6.1%
토언체 7
 
4.3%
경사형 6
 
3.7%
사석 5
 
3.0%
사석및수제공 5
 
3.0%
토공경사 3
 
1.8%
Other values (14) 25
15.2%

Length

2023-12-11T12:29:40.895871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
직립형 51
31.1%
토언제 26
15.9%
완경사형(사석+산토 16
 
9.8%
콘크리트,석괴 10
 
6.1%
석괴,토사혼성제 10
 
6.1%
토언체 7
 
4.3%
경사형 6
 
3.7%
사석 6
 
3.7%
사석및수제공 5
 
3.0%
콘크리트호안 3
 
1.8%
Other values (13) 24
14.6%

제체길이 (m)
Real number (ℝ)

Distinct156
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1979.2707
Minimum86
Maximum12810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:41.059871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile238.6
Q1524
median1087
Q32254.75
95-th percentile6847.4
Maximum12810
Range12724
Interquartile range (IQR)1730.75

Descriptive statistics

Standard deviation2320.2432
Coefficient of variation (CV)1.1722718
Kurtosis5.2816747
Mean1979.2707
Median Absolute Deviation (MAD)674.5
Skewness2.2260472
Sum324600.4
Variance5383528.4
MonotonicityNot monotonic
2023-12-11T12:29:41.257443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4600.0 2
 
1.2%
1116.0 2
 
1.2%
600.0 2
 
1.2%
530.0 2
 
1.2%
1300.0 2
 
1.2%
500.0 2
 
1.2%
300.0 2
 
1.2%
1050.0 2
 
1.2%
2359.0 1
 
0.6%
1084.0 1
 
0.6%
Other values (146) 146
89.0%
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 (%)
12810.0 1
0.6%
10663.0 1
0.6%
10300.0 1
0.6%
9810.0 1
0.6%
9500.0 1
0.6%
8163.0 1
0.6%
7807.0 1
0.6%
7574.0 1
0.6%
6890.0 1
0.6%
6606.0 1
0.6%

제체높이 (m)
Real number (ℝ)

Distinct71
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0495732
Minimum1.5
Maximum25.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:41.416197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2
Q12.575
median4
Q35.685
95-th percentile12.95
Maximum25.9
Range24.4
Interquartile range (IQR)3.11

Descriptive statistics

Standard deviation3.7948897
Coefficient of variation (CV)0.75152683
Kurtosis7.7907258
Mean5.0495732
Median Absolute Deviation (MAD)1.5
Skewness2.5121809
Sum828.13
Variance14.401188
MonotonicityNot monotonic
2023-12-11T12:29:41.556758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5 15
 
9.1%
2.0 14
 
8.5%
4.5 12
 
7.3%
3.0 10
 
6.1%
4.0 10
 
6.1%
5.0 6
 
3.7%
6.0 4
 
2.4%
12.0 3
 
1.8%
2.3 3
 
1.8%
4.4 3
 
1.8%
Other values (61) 84
51.2%
ValueCountFrequency (%)
1.5 1
 
0.6%
1.6 1
 
0.6%
1.8 1
 
0.6%
1.9 3
 
1.8%
2.0 14
8.5%
2.1 1
 
0.6%
2.3 3
 
1.8%
2.4 2
 
1.2%
2.5 15
9.1%
2.6 2
 
1.2%
ValueCountFrequency (%)
25.9 1
0.6%
19.5 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 1
0.6%
12.1 1
0.6%

총저수량 (천톤)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)16.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean8932.8613
Minimum0
Maximum253217
Zeros136
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:41.672649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile52144.9
Maximum253217
Range253217
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35271.409
Coefficient of variation (CV)3.9485007
Kurtosis28.410739
Mean8932.8613
Median Absolute Deviation (MAD)0
Skewness5.1092193
Sum1456056.4
Variance1.2440723 × 109
MonotonicityNot monotonic
2023-12-11T12:29:41.799377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 136
82.9%
21140.0 3
 
1.8%
7458.0 1
 
0.6%
10568.0 1
 
0.6%
1031.0 1
 
0.6%
1687.0 1
 
0.6%
335.2 1
 
0.6%
2458.0 1
 
0.6%
244570.0 1
 
0.6%
253217.0 1
 
0.6%
Other values (16) 16
 
9.8%
ValueCountFrequency (%)
0.0 136
82.9%
1.2 1
 
0.6%
335.2 1
 
0.6%
1031.0 1
 
0.6%
1687.0 1
 
0.6%
2458.0 1
 
0.6%
6040.0 1
 
0.6%
6870.0 1
 
0.6%
7458.0 1
 
0.6%
9440.0 1
 
0.6%
ValueCountFrequency (%)
253217.0 1
0.6%
244570.0 1
0.6%
138000.0 1
0.6%
133120.0 1
0.6%
124250.0 1
0.6%
122000.0 1
0.6%
98980.0 1
0.6%
84082.0 1
0.6%
54440.0 1
0.6%
31489.0 1
0.6%

유효저수량 (천톤)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)16.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean5766.7466
Minimum0
Maximum180920
Zeros136
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:41.927269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27384.7
Maximum180920
Range180920
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22969.529
Coefficient of variation (CV)3.9831001
Kurtosis31.783983
Mean5766.7466
Median Absolute Deviation (MAD)0
Skewness5.3791841
Sum939979.7
Variance5.2759928 × 108
MonotonicityNot monotonic
2023-12-11T12:29:42.045106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 136
82.9%
15290.0 3
 
1.8%
7458.0 1
 
0.6%
3866.0 1
 
0.6%
929.0 1
 
0.6%
1458.0 1
 
0.6%
157.5 1
 
0.6%
1412.0 1
 
0.6%
138850.0 1
 
0.6%
180920.0 1
 
0.6%
Other values (16) 16
 
9.8%
ValueCountFrequency (%)
0.0 136
82.9%
1.2 1
 
0.6%
157.5 1
 
0.6%
929.0 1
 
0.6%
1412.0 1
 
0.6%
1458.0 1
 
0.6%
3866.0 1
 
0.6%
5440.0 1
 
0.6%
6180.0 1
 
0.6%
7458.0 1
 
0.6%
ValueCountFrequency (%)
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%
50720.0 1
0.6%
46460.0 1
0.6%
28160.0 1
0.6%
20407.0 1
0.6%

사수량 (천톤)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3146.8091
Minimum0
Maximum105720
Zeros140
Zeros (%)85.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:42.166015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15262.3
Maximum105720
Range105720
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13843.52
Coefficient of variation (CV)4.3992246
Kurtosis30.738794
Mean3146.8091
Median Absolute Deviation (MAD)0
Skewness5.432334
Sum516076.7
Variance1.9164305 × 108
MonotonicityNot monotonic
2023-12-11T12:29:42.282510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 140
85.4%
5850.0 3
 
1.8%
16000.0 1
 
0.6%
6702.0 1
 
0.6%
102.0 1
 
0.6%
229.0 1
 
0.6%
177.7 1
 
0.6%
1046.0 1
 
0.6%
105720.0 1
 
0.6%
72297.0 1
 
0.6%
Other values (13) 13
 
7.9%
ValueCountFrequency (%)
0.0 140
85.4%
102.0 1
 
0.6%
170.0 1
 
0.6%
177.7 1
 
0.6%
229.0 1
 
0.6%
600.0 1
 
0.6%
690.0 1
 
0.6%
1046.0 1
 
0.6%
2030.0 1
 
0.6%
5510.0 1
 
0.6%
ValueCountFrequency (%)
105720.0 1
0.6%
75540.0 1
0.6%
73530.0 1
0.6%
72297.0 1
0.6%
57865.0 1
0.6%
26280.0 1
0.6%
21295.0 1
0.6%
16088.0 1
0.6%
16000.0 1
0.6%
11082.0 1
0.6%

만조위 (EL.m)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)47.5%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean2.8480864
Minimum0.73
Maximum7.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:42.420539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.73
5-th percentile0.95
Q11.7
median2.4
Q34.06
95-th percentile4.7
Maximum7.4
Range6.67
Interquartile range (IQR)2.36

Descriptive statistics

Standard deviation1.4696662
Coefficient of variation (CV)0.51601881
Kurtosis0.40745924
Mean2.8480864
Median Absolute Deviation (MAD)1.14
Skewness0.76855054
Sum461.39
Variance2.1599187
MonotonicityNot monotonic
2023-12-11T12:29:42.597133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7 18
 
11.0%
1.48 9
 
5.5%
4.1 6
 
3.7%
0.95 5
 
3.0%
4.6 5
 
3.0%
1.2 4
 
2.4%
2.4 4
 
2.4%
4.03 4
 
2.4%
7.4 4
 
2.4%
4.2 4
 
2.4%
Other values (67) 99
60.4%
ValueCountFrequency (%)
0.73 1
 
0.6%
0.9 3
1.8%
0.91 1
 
0.6%
0.95 5
3.0%
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
2.4%
ValueCountFrequency (%)
7.4 4
2.4%
6.5 1
 
0.6%
5.46 1
 
0.6%
4.9 1
 
0.6%
4.71 1
 
0.6%
4.7 2
 
1.2%
4.6 5
3.0%
4.5 4
2.4%
4.47 1
 
0.6%
4.41 1
 
0.6%

포용조수량 (천톤)
Real number (ℝ)

Distinct150
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39163.87
Minimum2.3
Maximum930650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:42.743510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile180
Q1952.5
median5749
Q312449.75
95-th percentile153657.25
Maximum930650
Range930647.7
Interquartile range (IQR)11497.25

Descriptive statistics

Standard deviation136190.54
Coefficient of variation (CV)3.4774535
Kurtosis27.552348
Mean39163.87
Median Absolute Deviation (MAD)4988
Skewness5.1958484
Sum6422874.7
Variance1.8547863 × 1010
MonotonicityNot monotonic
2023-12-11T12:29:42.927511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26050.0 6
 
3.7%
10262.0 3
 
1.8%
794394.0 3
 
1.8%
10460.0 2
 
1.2%
5224.0 2
 
1.2%
11064.0 2
 
1.2%
180.0 2
 
1.2%
840.0 2
 
1.2%
7595.0 1
 
0.6%
4943.0 1
 
0.6%
Other values (140) 140
85.4%
ValueCountFrequency (%)
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%
148.0 1
0.6%
169.0 1
0.6%
179.0 1
0.6%
180.0 2
1.2%
182.0 1
0.6%
ValueCountFrequency (%)
930650.0 1
 
0.6%
794394.0 3
1.8%
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%
115000.0 1
 
0.6%

대안거리 (Km)
Real number (ℝ)

Distinct78
Distinct (%)47.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean7.5178528
Minimum0.3
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T12:29:43.070868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.81
Q12.5
median4.5
Q310
95-th percentile22.78
Maximum50
Range49.7
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation7.9521229
Coefficient of variation (CV)1.0577652
Kurtosis8.1133373
Mean7.5178528
Median Absolute Deviation (MAD)2.7
Skewness2.4788833
Sum1225.41
Variance63.236259
MonotonicityNot monotonic
2023-12-11T12:29:43.206385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 12
 
7.3%
10.0 7
 
4.3%
4.0 7
 
4.3%
2.0 6
 
3.7%
2.5 6
 
3.7%
4.5 6
 
3.7%
3.0 5
 
3.0%
3.5 5
 
3.0%
5.5 5
 
3.0%
6.0 5
 
3.0%
Other values (68) 99
60.4%
ValueCountFrequency (%)
0.3 2
1.2%
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
1.2%
0.9 3
1.8%
1.0 3
1.8%
1.2 2
1.2%
ValueCountFrequency (%)
50.0 1
0.6%
43.0 1
0.6%
38.7 1
0.6%
31.0 1
0.6%
30.0 1
0.6%
29.0 1
0.6%
25.0 1
0.6%
24.9 1
0.6%
23.2 1
0.6%
19.0 1
0.6%

홍수위 (EL.m)
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)56.4%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean2.3918405
Minimum-1.9
Maximum6.8
Zeros7
Zeros (%)4.3%
Negative1
Negative (%)0.6%
Memory size1.6 KiB
2023-12-11T12:29:43.356462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile0.09
Q11.1
median2.16
Q33.465
95-th percentile5.3
Maximum6.8
Range8.7
Interquartile range (IQR)2.365

Descriptive statistics

Standard deviation1.6734083
Coefficient of variation (CV)0.69963207
Kurtosis0.17068472
Mean2.3918405
Median Absolute Deviation (MAD)1.16
Skewness0.60827832
Sum389.87
Variance2.8002954
MonotonicityNot monotonic
2023-12-11T12:29:43.547966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.16 8
 
4.9%
0.0 7
 
4.3%
1.1 7
 
4.3%
1.2 6
 
3.7%
3.0 5
 
3.0%
1.0 4
 
2.4%
2.7 4
 
2.4%
2.78 4
 
2.4%
2.4 4
 
2.4%
6.8 3
 
1.8%
Other values (82) 111
67.7%
ValueCountFrequency (%)
-1.9 1
 
0.6%
0.0 7
4.3%
0.09 2
 
1.2%
0.1 1
 
0.6%
0.22 1
 
0.6%
0.23 1
 
0.6%
0.27 1
 
0.6%
0.4 2
 
1.2%
0.42 2
 
1.2%
0.47 1
 
0.6%
ValueCountFrequency (%)
6.8 3
1.8%
6.7 2
1.2%
6.5 1
 
0.6%
6.0 1
 
0.6%
5.6 1
 
0.6%
5.3 2
1.2%
5.28 1
 
0.6%
5.25 1
 
0.6%
5.1 1
 
0.6%
4.94 1
 
0.6%

만수위 (EL.m)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7179268
Minimum-2
Maximum6.5
Zeros7
Zeros (%)4.3%
Negative23
Negative (%)14.0%
Memory size1.6 KiB
2023-12-11T12:29:43.750113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-1.4425
Q10.575
median1.55
Q32.955
95-th percentile4.767
Maximum6.5
Range8.5
Interquartile range (IQR)2.38

Descriptive statistics

Standard deviation1.7642247
Coefficient of variation (CV)1.0269499
Kurtosis-0.40992049
Mean1.7179268
Median Absolute Deviation (MAD)1.16
Skewness0.080167755
Sum281.74
Variance3.1124889
MonotonicityNot monotonic
2023-12-11T12:29:43.901482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
4.3%
1.48 7
 
4.3%
2.5 7
 
4.3%
2.0 7
 
4.3%
1.2 5
 
3.0%
-0.5 4
 
2.4%
0.6 4
 
2.4%
1.0 4
 
2.4%
0.5 4
 
2.4%
0.8 4
 
2.4%
Other values (77) 111
67.7%
ValueCountFrequency (%)
-2.0 1
0.6%
-1.73 1
0.6%
-1.7 2
1.2%
-1.6 2
1.2%
-1.55 1
0.6%
-1.5 1
0.6%
-1.45 1
0.6%
-1.4 1
0.6%
-1.35 1
0.6%
-1.0 2
1.2%
ValueCountFrequency (%)
6.5 1
 
0.6%
5.4 1
 
0.6%
5.2 3
1.8%
5.1 2
1.2%
5.0 1
 
0.6%
4.83 1
 
0.6%
4.41 1
 
0.6%
4.21 1
 
0.6%
4.2 1
 
0.6%
4.15 1
 
0.6%

사수위 (EL.m)
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4122561
Minimum-6.35
Maximum2.84
Zeros53
Zeros (%)32.3%
Negative45
Negative (%)27.4%
Memory size1.6 KiB
2023-12-11T12:29:44.065154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.35
5-th percentile-4
Q1-1.1925
median0
Q30.3
95-th percentile1.9935
Maximum2.84
Range9.19
Interquartile range (IQR)1.4925

Descriptive statistics

Standard deviation1.7006499
Coefficient of variation (CV)-4.1252269
Kurtosis1.9642928
Mean-0.4122561
Median Absolute Deviation (MAD)0.4
Skewness-1.2914072
Sum-67.61
Variance2.8922102
MonotonicityNot monotonic
2023-12-11T12:29:44.228627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 53
32.3%
0.3 15
 
9.1%
0.1 7
 
4.3%
0.5 6
 
3.7%
-1.5 5
 
3.0%
0.2 4
 
2.4%
-5.0 4
 
2.4%
-2.3 4
 
2.4%
0.4 4
 
2.4%
-2.22 3
 
1.8%
Other values (49) 59
36.0%
ValueCountFrequency (%)
-6.35 2
1.2%
-5.0 4
2.4%
-4.65 1
 
0.6%
-4.5 1
 
0.6%
-4.0 2
1.2%
-3.9 1
 
0.6%
-3.7 1
 
0.6%
-3.65 1
 
0.6%
-3.3 1
 
0.6%
-3.0 3
1.8%
ValueCountFrequency (%)
2.84 1
0.6%
2.7 1
0.6%
2.45 1
0.6%
2.4 1
0.6%
2.25 1
0.6%
2.11 1
0.6%
2.1 1
0.6%
2.05 1
0.6%
2.01 1
0.6%
1.9 1
0.6%

Sample

표준코드시설명소재지착공년도준공년도종별구분유역면적 (ha)홍수면적 (ha)만수면적 (ha)수혜면적 (ha)한발빈도제체형식제체길이 (m)제체높이 (m)총저수량 (천톤)유효저수량 (천톤)사수량 (천톤)만조위 (EL.m)포용조수량 (천톤)대안거리 (Km)홍수위 (EL.m)만수위 (EL.m)사수위 (EL.m)
02871090001구하인천광역시 강화군 내가면 구하리1950-05-021957-12-201부속시설40.00.00.01071.010토언제2359.02.50.00.00.04.610262.010.06.85.20.3
12871090002망월인천광역시 강화군 하점면 망월리1950-06-021957-12-201부속시설5360.00.00.01071.010토언제3292.02.50.00.00.04.610262.010.06.85.20.5
22871090003황청인천광역시 강화군 내가면 황청리1950-05-021957-12-261부속시설206.00.00.01071.010토언제692.02.50.00.00.04.610262.010.00.00.00.3
32871090004난정인천광역시 강화군 교동면 난정리1956-06-011964-12-241부속시설440.00.00.01193.010토언제1200.02.00.00.00.04.526050.015.05.35.00.5
42871090005대룡인천광역시 강화군 교동면 대룡리1956-06-041964-12-211부속시설130.00.00.01193.010토언제2022.01.90.00.00.03.626050.015.06.04.20.3
52871090006무학인천광역시 강화군 교동면 무학리1956-05-041964-12-211부속시설1346.00.00.01193.010토언제825.03.00.00.00.02.326050.015.03.02.770.3
62871090007양갑인천광역시 강화군 교동면 대룡리1956-04-011964-12-201부속시설150.00.00.01193.010토언제1541.01.90.00.00.02.7726050.015.00.00.00.3
72871090008인사인천광역시 강화군 교동면 고구리1956-04-101964-12-241부속시설810.00.00.01193.010토언제3150.01.80.00.00.02.326050.014.00.00.00.3
82871090009지석인천광역시 강화군 교동면 지석리1956-04-111964-12-201부속시설110.00.00.01193.010토언제1516.02.00.00.00.02.326050.015.00.00.00.3
92871090010길상3인천광역시 강화군 길상면 장흥리1952-05-021962-12-201부속시설783.00.00.0313.010토언제1291.03.60.00.00.04.67830.015.06.85.20.5
표준코드시설명소재지착공년도준공년도종별구분유역면적 (ha)홍수면적 (ha)만수면적 (ha)수혜면적 (ha)한발빈도제체형식제체길이 (m)제체높이 (m)총저수량 (천톤)유효저수량 (천톤)사수량 (천톤)만조위 (EL.m)포용조수량 (천톤)대안거리 (Km)홍수위 (EL.m)만수위 (EL.m)사수위 (EL.m)
1544824090003내구경상남도 사천시 서포면 내구리1963-01-011968-12-311주수원680.00.0197.0132.30토언체296.06.540.00.00.01.25237.07.91.21.2-2.3
1554824090004구랑경상남도 사천시 서포면 구랑리1960-10-071963-01-011주수원270.00.0197.0197.00토언체264.05.680.00.00.01.25512.03.51.21.2-2.3
1564831090001남동경상남도 거제시 거제면 남동리1965-10-161971-01-012부속시설282.00.00.030.010토언체650.03.20.00.00.00.9760.02.21.90.40.0
1574831090002외간경상남도 거제시 거제면 외간리1975-12-011984-01-012부속시설1550.00.00.020.510토언체1090.04.50.00.00.00.9498.010.7-1.90.40.0
1584882090001거산경상남도 고성군 마암면 삼락리1952-01-011960-01-011부속시설7520.00.0114.96114.010토언체498.04.10.00.00.00.95108.04.31.90.40.0
1594884090001대사경상남도 남해군 고현면 대사리1944-01-011945-01-012주수원1497.08.40.028.010토언제368.02.70.00.00.03.94280.02.171.851.851.0
1604885090003송원경상남도 하동군 진교면 송원리1954-01-011958-01-011주수원1159.00.00.0119.210토언제3035.04.50.00.00.03.945117.02.11.491.39-0.5
1614885090004하사(갈사)경상남도 하동군 금성면 가덕리1965-01-011972-01-012주수원1690.00.00.0403.010토언제3122.04.50.00.00.04.17360.00.81.491.390.53
1624885090005대송경상남도 하동군 금성면 가덕리1984-01-011985-01-012주수원295.00.00.051.210토언제406.07.50.00.00.03.94148.00.33.02.47-0.53
1634971090001종달제주특별자치도 제주시 구좌읍 종달리1957-03-301960-12-312부속시설35.00.00.030.01<NA>242.01.9<NA><NA>0.02.292.3<NA>2.31.50.5