Overview

Dataset statistics

Number of variables23
Number of observations9700
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory205.0 B

Variable types

Categorical2
Numeric21

Alerts

전일 유입량 is highly skewed (γ1 = 22.91782237)Skewed
전일 방류량(조정지) is highly skewed (γ1 = 24.88726955)Skewed
강우량(금일) has 8088 (83.4%) zerosZeros
전일 유입량 has 1017 (10.5%) zerosZeros
강우량(전일) has 6242 (64.4%) zerosZeros
금년 누계강우량 has 121 (1.2%) zerosZeros
연간계획대비 has 5344 (55.1%) zerosZeros
연간발전계획 has 5335 (55.0%) zerosZeros
발전량(실적) has 5344 (55.1%) zerosZeros
발전량(계획대비) has 5347 (55.1%) zerosZeros
발전량(계획) has 5335 (55.0%) zerosZeros
전일 방류량(조정지) has 6790 (70.0%) zerosZeros
전년 누계강우량 has 531 (5.5%) zerosZeros

Reproduction

Analysis started2024-03-13 11:45:52.528411
Analysis finished2024-03-13 11:45:53.153501
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

댐이름
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.9 KiB
대청
 
485
용담
 
485
보령
 
485
부안
 
485
장흥
 
485
Other values (16)
7275 

Length

Max length5
Median length2
Mean length2.55
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row대청
2nd row용담
3rd row보령
4th row부안
5th row장흥

Common Values

ValueCountFrequency (%)
대청 485
 
5.0%
용담 485
 
5.0%
보령 485
 
5.0%
부안 485
 
5.0%
장흥 485
 
5.0%
군위 485
 
5.0%
김천부항 485
 
5.0%
남강 485
 
5.0%
밀양 485
 
5.0%
보현산 485
 
5.0%
Other values (11) 4850
50.0%

Length

2024-03-13T20:45:53.236053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대청 485
 
5.0%
용담 485
 
5.0%
충주 485
 
5.0%
소양강 485
 
5.0%
주암(조 485
 
5.0%
주암(본 485
 
5.0%
섬진강 485
 
5.0%
합천 485
 
5.0%
임하 485
 
5.0%
안동 485
 
5.0%
Other values (11) 4850
50.0%

강우량(금일)
Real number (ℝ)

ZEROS 

Distinct260
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87472165
Minimum0
Maximum157.7
Zeros8088
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:53.394710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.6
Maximum157.7
Range157.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.4996312
Coefficient of variation (CV)5.1440721
Kurtosis276.21567
Mean0.87472165
Median Absolute Deviation (MAD)0
Skewness12.66849
Sum8484.8
Variance20.246681
MonotonicityNot monotonic
2024-03-13T20:45:53.600350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8088
83.4%
0.1 149
 
1.5%
0.4 113
 
1.2%
0.2 99
 
1.0%
0.3 78
 
0.8%
1.0 68
 
0.7%
0.7 64
 
0.7%
0.6 37
 
0.4%
0.8 36
 
0.4%
0.5 31
 
0.3%
Other values (250) 937
 
9.7%
ValueCountFrequency (%)
0.0 8088
83.4%
0.1 149
 
1.5%
0.2 99
 
1.0%
0.3 78
 
0.8%
0.4 113
 
1.2%
0.5 31
 
0.3%
0.6 37
 
0.4%
0.7 64
 
0.7%
0.8 36
 
0.4%
0.9 27
 
0.3%
ValueCountFrequency (%)
157.7 1
< 0.1%
116.3 1
< 0.1%
105.1 1
< 0.1%
84.5 1
< 0.1%
66.5 1
< 0.1%
66.0 1
< 0.1%
61.5 1
< 0.1%
57.9 1
< 0.1%
51.5 1
< 0.1%
51.4 1
< 0.1%

저수량(현재)
Real number (ℝ)

Distinct4501
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.29213
Minimum2.2
Maximum2288.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:53.792413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile10.8
Q138.275
median105.9
Q3412.775
95-th percentile1710.03
Maximum2288.3
Range2286.1
Interquartile range (IQR)374.5

Descriptive statistics

Standard deviation517.49014
Coefficient of variation (CV)1.4731048
Kurtosis3.0480998
Mean351.29213
Median Absolute Deviation (MAD)87
Skewness1.9735505
Sum3407533.7
Variance267796.04
MonotonicityNot monotonic
2024-03-13T20:45:53.954759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4 33
 
0.3%
36.5 28
 
0.3%
36.3 27
 
0.3%
12.8 26
 
0.3%
35.4 25
 
0.3%
13.3 24
 
0.2%
12.9 23
 
0.2%
3.6 23
 
0.2%
10.9 22
 
0.2%
36.6 21
 
0.2%
Other values (4491) 9448
97.4%
ValueCountFrequency (%)
2.2 1
 
< 0.1%
2.5 1
 
< 0.1%
2.6 7
0.1%
2.7 7
0.1%
2.8 12
0.1%
2.9 15
0.2%
3.0 15
0.2%
3.1 9
0.1%
3.2 9
0.1%
3.3 5
 
0.1%
ValueCountFrequency (%)
2288.3 1
< 0.1%
2285.9 1
< 0.1%
2282.5 1
< 0.1%
2271.7 1
< 0.1%
2259.1 1
< 0.1%
2257.8 1
< 0.1%
2250.1 1
< 0.1%
2249.2 1
< 0.1%
2248.1 1
< 0.1%
2246.1 1
< 0.1%

전일 유입량
Real number (ℝ)

SKEWED  ZEROS 

Distinct1315
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.789443
Minimum0
Maximum9498.7
Zeros1017
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:54.133254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median3.2
Q316.1
95-th percentile132.605
Maximum9498.7
Range9498.7
Interquartile range (IQR)15.6

Descriptive statistics

Standard deviation186.54843
Coefficient of variation (CV)5.3622136
Kurtosis859.09465
Mean34.789443
Median Absolute Deviation (MAD)3.1
Skewness22.917822
Sum337457.6
Variance34800.315
MonotonicityNot monotonic
2024-03-13T20:45:54.298541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1017
 
10.5%
0.1 519
 
5.4%
0.2 308
 
3.2%
0.3 255
 
2.6%
0.4 219
 
2.3%
0.5 179
 
1.8%
0.6 162
 
1.7%
0.7 150
 
1.5%
1.0 139
 
1.4%
0.8 128
 
1.3%
Other values (1305) 6624
68.3%
ValueCountFrequency (%)
0.0 1017
10.5%
0.1 519
5.4%
0.2 308
 
3.2%
0.3 255
 
2.6%
0.4 219
 
2.3%
0.5 179
 
1.8%
0.6 162
 
1.7%
0.7 150
 
1.5%
0.8 128
 
1.3%
0.9 117
 
1.2%
ValueCountFrequency (%)
9498.7 1
< 0.1%
5458.0 1
< 0.1%
4163.8 1
< 0.1%
3829.9 1
< 0.1%
3564.2 1
< 0.1%
3145.5 1
< 0.1%
3026.6 1
< 0.1%
2999.7 1
< 0.1%
2892.3 1
< 0.1%
2613.6 1
< 0.1%

강우량(전일)
Real number (ℝ)

ZEROS 

Distinct619
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7698969
Minimum0
Maximum293
Zeros6242
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:54.452463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile29.005
Maximum293
Range293
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.009083
Coefficient of variation (CV)3.3562745
Kurtosis70.424202
Mean4.7698969
Median Absolute Deviation (MAD)0
Skewness6.7747611
Sum46268
Variance256.29075
MonotonicityNot monotonic
2024-03-13T20:45:54.696284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6242
64.4%
0.1 245
 
2.5%
0.2 172
 
1.8%
0.4 136
 
1.4%
0.3 104
 
1.1%
0.7 97
 
1.0%
1.0 94
 
1.0%
0.6 68
 
0.7%
0.5 67
 
0.7%
0.8 52
 
0.5%
Other values (609) 2423
 
25.0%
ValueCountFrequency (%)
0.0 6242
64.4%
0.1 245
 
2.5%
0.2 172
 
1.8%
0.3 104
 
1.1%
0.4 136
 
1.4%
0.5 67
 
0.7%
0.6 68
 
0.7%
0.7 97
 
1.0%
0.8 52
 
0.5%
0.9 35
 
0.4%
ValueCountFrequency (%)
293.0 1
< 0.1%
290.2 1
< 0.1%
287.0 1
< 0.1%
271.7 1
< 0.1%
234.6 1
< 0.1%
215.3 1
< 0.1%
191.8 1
< 0.1%
168.4 1
< 0.1%
165.5 2
< 0.1%
164.2 1
< 0.1%

금년 누계강우량
Real number (ℝ)

ZEROS 

Distinct3377
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean715.85481
Minimum0
Maximum2315.9
Zeros121
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:54.866505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.6
Q1142.9
median576.25
Q31187
95-th percentile1916.6
Maximum2315.9
Range2315.9
Interquartile range (IQR)1044.1

Descriptive statistics

Standard deviation629.20073
Coefficient of variation (CV)0.87895019
Kurtosis-0.75876724
Mean715.85481
Median Absolute Deviation (MAD)461.35
Skewness0.66281573
Sum6943791.7
Variance395893.56
MonotonicityNot monotonic
2024-03-13T20:45:55.034587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 121
 
1.2%
31.8 39
 
0.4%
202.1 34
 
0.4%
110.4 32
 
0.3%
31.4 29
 
0.3%
45.8 27
 
0.3%
67.0 27
 
0.3%
25.7 27
 
0.3%
16.6 27
 
0.3%
75.3 26
 
0.3%
Other values (3367) 9311
96.0%
ValueCountFrequency (%)
0.0 121
1.2%
0.1 14
 
0.1%
0.2 23
 
0.2%
0.3 5
 
0.1%
0.4 5
 
0.1%
0.5 3
 
< 0.1%
0.6 3
 
< 0.1%
0.7 5
 
0.1%
0.8 4
 
< 0.1%
0.9 6
 
0.1%
ValueCountFrequency (%)
2315.9 1
 
< 0.1%
2312.3 1
 
< 0.1%
2307.6 4
< 0.1%
2307.3 1
 
< 0.1%
2303.8 1
 
< 0.1%
2303.2 1
 
< 0.1%
2300.3 3
< 0.1%
2300.0 1
 
< 0.1%
2297.0 1
 
< 0.1%
2286.3 2
< 0.1%

연간계획대비
Real number (ℝ)

ZEROS 

Distinct1355
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.618
Minimum0
Maximum452.1
Zeros5344
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:55.188731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q397.225
95-th percentile151.4
Maximum452.1
Range452.1
Interquartile range (IQR)97.225

Descriptive statistics

Standard deviation57.941536
Coefficient of variation (CV)1.216799
Kurtosis-0.56256568
Mean47.618
Median Absolute Deviation (MAD)0
Skewness0.73269949
Sum461894.6
Variance3357.2216
MonotonicityNot monotonic
2024-03-13T20:45:55.353503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5344
55.1%
95.9 19
 
0.2%
96.0 18
 
0.2%
106.2 16
 
0.2%
121.2 16
 
0.2%
96.1 15
 
0.2%
133.4 15
 
0.2%
95.5 14
 
0.1%
96.7 13
 
0.1%
115.3 13
 
0.1%
Other values (1345) 4217
43.5%
ValueCountFrequency (%)
0.0 5344
55.1%
4.8 1
 
< 0.1%
6.4 1
 
< 0.1%
7.1 1
 
< 0.1%
7.6 1
 
< 0.1%
7.9 1
 
< 0.1%
8.1 1
 
< 0.1%
8.3 1
 
< 0.1%
8.4 1
 
< 0.1%
8.5 1
 
< 0.1%
ValueCountFrequency (%)
452.1 1
< 0.1%
425.0 1
< 0.1%
365.4 1
< 0.1%
313.6 1
< 0.1%
203.0 1
< 0.1%
202.9 1
< 0.1%
202.6 1
< 0.1%
202.4 1
< 0.1%
202.2 1
< 0.1%
201.8 1
< 0.1%

저수량(전년)
Real number (ℝ)

Distinct4541
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.60356
Minimum3.7
Maximum2284.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:55.532048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile11.8
Q137.575
median118.7
Q3401.675
95-th percentile1622.11
Maximum2284.1
Range2280.4
Interquartile range (IQR)364.1

Descriptive statistics

Standard deviation496.41798
Coefficient of variation (CV)1.4199454
Kurtosis2.6402681
Mean349.60356
Median Absolute Deviation (MAD)99.35
Skewness1.8811229
Sum3391154.5
Variance246430.81
MonotonicityNot monotonic
2024-03-13T20:45:55.693353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.9 22
 
0.2%
15.9 20
 
0.2%
36.5 20
 
0.2%
10.9 19
 
0.2%
13.9 19
 
0.2%
37.1 18
 
0.2%
10.5 18
 
0.2%
15.4 18
 
0.2%
22.1 17
 
0.2%
36.1 17
 
0.2%
Other values (4531) 9512
98.1%
ValueCountFrequency (%)
3.7 7
0.1%
3.8 8
0.1%
3.9 11
0.1%
4.0 9
0.1%
4.1 3
 
< 0.1%
4.2 3
 
< 0.1%
4.3 1
 
< 0.1%
4.4 2
 
< 0.1%
4.5 4
 
< 0.1%
4.6 4
 
< 0.1%
ValueCountFrequency (%)
2284.1 1
< 0.1%
2273.9 1
< 0.1%
2261.9 1
< 0.1%
2247.5 1
< 0.1%
2242.5 1
< 0.1%
2233.4 1
< 0.1%
2228.5 1
< 0.1%
2227.2 1
< 0.1%
2220.6 1
< 0.1%
2208.7 1
< 0.1%

저수위(예년)
Real number (ℝ)

Distinct5748
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.84928
Minimum34.98
Maximum358.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:56.181222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.98
5-th percentile38.33
Q187.3525
median150.475
Q3189.17
95-th percentile261.2485
Maximum358.9
Range323.92
Interquartile range (IQR)101.8175

Descriptive statistics

Standard deviation76.058737
Coefficient of variation (CV)0.51097822
Kurtosis0.59619592
Mean148.84928
Median Absolute Deviation (MAD)47.47
Skewness0.69114421
Sum1443838
Variance5784.9315
MonotonicityNot monotonic
2024-03-13T20:45:56.337945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184.73 16
 
0.2%
184.74 14
 
0.1%
184.72 13
 
0.1%
39.06 12
 
0.1%
69.89 12
 
0.1%
39.11 12
 
0.1%
184.7 12
 
0.1%
38.67 11
 
0.1%
69.88 10
 
0.1%
39.08 10
 
0.1%
Other values (5738) 9578
98.7%
ValueCountFrequency (%)
34.98 1
 
< 0.1%
35.0 1
 
< 0.1%
35.01 1
 
< 0.1%
35.05 1
 
< 0.1%
35.06 1
 
< 0.1%
35.07 1
 
< 0.1%
35.08 1
 
< 0.1%
35.11 1
 
< 0.1%
35.13 3
< 0.1%
35.14 1
 
< 0.1%
ValueCountFrequency (%)
358.9 3
< 0.1%
358.89 2
< 0.1%
358.88 3
< 0.1%
358.87 1
 
< 0.1%
358.86 1
 
< 0.1%
358.85 1
 
< 0.1%
358.83 1
 
< 0.1%
358.81 1
 
< 0.1%
358.72 1
 
< 0.1%
358.7 2
< 0.1%

연간발전계획
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71023.544
Minimum0
Maximum603553
Zeros5335
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:56.513783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q387941
95-th percentile404795.9
Maximum603553
Range603553
Interquartile range (IQR)87941

Descriptive statistics

Standard deviation134499.74
Coefficient of variation (CV)1.8937346
Kurtosis4.7055994
Mean71023.544
Median Absolute Deviation (MAD)0
Skewness2.4063025
Sum6.8892837 × 108
Variance1.8090181 × 1010
MonotonicityNot monotonic
2024-03-13T20:45:56.652649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 5335
55.0%
32830 279
 
2.9%
87941 279
 
2.9%
488318 279
 
2.9%
385085 279
 
2.9%
49518 279
 
2.9%
104486 279
 
2.9%
87731 279
 
2.9%
40640 279
 
2.9%
117221 279
 
2.9%
Other values (18) 1854
 
19.1%
ValueCountFrequency (%)
0 5335
55.0%
32328 201
 
2.1%
32830 279
 
2.9%
33214 201
 
2.1%
38188 5
 
0.1%
39830 5
 
0.1%
40640 279
 
2.9%
43855 5
 
0.1%
49518 279
 
2.9%
50304 201
 
2.1%
ValueCountFrequency (%)
603553 5
 
0.1%
547064 201
2.1%
488318 279
2.9%
400400 201
2.1%
385085 279
2.9%
372510 5
 
0.1%
133712 5
 
0.1%
117221 279
2.9%
117024 5
 
0.1%
107269 201
2.1%

현재저수율
Real number (ℝ)

Distinct761
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.896887
Minimum0.2
Maximum91.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:56.801689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile21.3
Q133
median48
Q367
95-th percentile80.7
Maximum91.7
Range91.5
Interquartile range (IQR)34

Descriptive statistics

Standard deviation19.250347
Coefficient of variation (CV)0.38580256
Kurtosis-1.1685153
Mean49.896887
Median Absolute Deviation (MAD)16.4
Skewness0.12993976
Sum483999.8
Variance370.57585
MonotonicityNot monotonic
2024-03-13T20:45:56.973693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.5 43
 
0.4%
31.4 40
 
0.4%
31.3 34
 
0.4%
72.8 32
 
0.3%
31.2 31
 
0.3%
31.8 30
 
0.3%
27.0 29
 
0.3%
31.9 29
 
0.3%
30.7 29
 
0.3%
73.8 29
 
0.3%
Other values (751) 9374
96.6%
ValueCountFrequency (%)
0.2 1
 
< 0.1%
11.5 2
< 0.1%
11.6 1
 
< 0.1%
11.8 2
< 0.1%
11.9 2
< 0.1%
12.0 2
< 0.1%
12.1 1
 
< 0.1%
12.2 3
< 0.1%
12.3 1
 
< 0.1%
12.4 1
 
< 0.1%
ValueCountFrequency (%)
91.7 1
 
< 0.1%
89.9 1
 
< 0.1%
89.0 1
 
< 0.1%
88.9 1
 
< 0.1%
88.5 1
 
< 0.1%
88.4 3
< 0.1%
87.9 1
 
< 0.1%
87.2 3
< 0.1%
87.1 3
< 0.1%
87.0 1
 
< 0.1%

예년 누계강우량
Real number (ℝ)

Distinct6564
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.20331
Minimum0
Maximum1553.3
Zeros43
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:57.105473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.7
Q1224.6
median667.6
Q31125.85
95-th percentile1405.3
Maximum1553.3
Range1553.3
Interquartile range (IQR)901.25

Descriptive statistics

Standard deviation477.68924
Coefficient of variation (CV)0.71169083
Kurtosis-1.4332942
Mean671.20331
Median Absolute Deviation (MAD)449.4
Skewness0.10385486
Sum6510672.1
Variance228187.01
MonotonicityNot monotonic
2024-03-13T20:45:57.243997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
 
0.4%
1193.3 28
 
0.3%
0.1 16
 
0.2%
1013.8 15
 
0.2%
1152.1 15
 
0.2%
710.2 15
 
0.2%
7.5 14
 
0.1%
1176.0 12
 
0.1%
1063.6 11
 
0.1%
1004.0 11
 
0.1%
Other values (6554) 9520
98.1%
ValueCountFrequency (%)
0.0 43
0.4%
0.1 16
 
0.2%
0.2 9
 
0.1%
0.3 7
 
0.1%
0.4 10
 
0.1%
0.5 5
 
0.1%
0.6 3
 
< 0.1%
0.7 9
 
0.1%
0.8 2
 
< 0.1%
0.9 5
 
0.1%
ValueCountFrequency (%)
1553.3 1
< 0.1%
1553.1 1
< 0.1%
1552.7 1
< 0.1%
1550.4 1
< 0.1%
1549.4 1
< 0.1%
1548.5 1
< 0.1%
1547.9 1
< 0.1%
1547.3 1
< 0.1%
1545.6 1
< 0.1%
1544.9 1
< 0.1%

발전량(실적)
Real number (ℝ)

ZEROS 

Distinct4202
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45150.194
Minimum0
Maximum704899
Zeros5344
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:57.382906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335345.25
95-th percentile247482.85
Maximum704899
Range704899
Interquartile range (IQR)35345.25

Descriptive statistics

Standard deviation112671.22
Coefficient of variation (CV)2.4954758
Kurtosis15.792831
Mean45150.194
Median Absolute Deviation (MAD)0
Skewness3.8586491
Sum4.3795688 × 108
Variance1.2694803 × 1010
MonotonicityNot monotonic
2024-03-13T20:45:57.582258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5344
55.1%
105086 9
 
0.1%
599822 6
 
0.1%
84267 5
 
0.1%
16298 5
 
0.1%
3689 4
 
< 0.1%
1521 3
 
< 0.1%
605004 3
 
< 0.1%
402 3
 
< 0.1%
84247 3
 
< 0.1%
Other values (4192) 4315
44.5%
ValueCountFrequency (%)
0 5344
55.1%
5 1
 
< 0.1%
10 1
 
< 0.1%
16 1
 
< 0.1%
21 1
 
< 0.1%
26 1
 
< 0.1%
27 1
 
< 0.1%
31 1
 
< 0.1%
36 1
 
< 0.1%
41 1
 
< 0.1%
ValueCountFrequency (%)
704899 1
< 0.1%
704186 1
< 0.1%
703490 1
< 0.1%
702791 1
< 0.1%
702377 1
< 0.1%
701961 1
< 0.1%
701543 1
< 0.1%
699859 1
< 0.1%
699372 1
< 0.1%
698883 1
< 0.1%

발전량(계획대비)
Real number (ℝ)

ZEROS 

Distinct1426
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.145113
Minimum0
Maximum168.3
Zeros5347
Zeros (%)55.1%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:57.746880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q345
95-th percentile118.805
Maximum168.3
Range168.3
Interquartile range (IQR)45

Descriptive statistics

Standard deviation39.998284
Coefficient of variation (CV)1.529857
Kurtosis1.1051949
Mean26.145113
Median Absolute Deviation (MAD)0
Skewness1.4788885
Sum253607.6
Variance1599.8627
MonotonicityNot monotonic
2024-03-13T20:45:57.895214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5347
55.1%
94.0 17
 
0.2%
4.9 12
 
0.1%
5.2 11
 
0.1%
45.3 11
 
0.1%
5.1 11
 
0.1%
0.1 11
 
0.1%
45.9 11
 
0.1%
0.2 11
 
0.1%
3.5 11
 
0.1%
Other values (1416) 4247
43.8%
ValueCountFrequency (%)
0.0 5347
55.1%
0.1 11
 
0.1%
0.2 11
 
0.1%
0.3 10
 
0.1%
0.4 10
 
0.1%
0.5 5
 
0.1%
0.6 10
 
0.1%
0.7 8
 
0.1%
0.8 9
 
0.1%
0.9 10
 
0.1%
ValueCountFrequency (%)
168.3 1
< 0.1%
168.1 1
< 0.1%
167.9 1
< 0.1%
167.8 1
< 0.1%
167.6 1
< 0.1%
167.4 1
< 0.1%
167.2 1
< 0.1%
165.6 1
< 0.1%
163.8 1
< 0.1%
162.0 1
< 0.1%

발전량(계획)
Real number (ℝ)

ZEROS 

Distinct4307
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38040.429
Minimum0
Maximum544986
Zeros5335
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:58.105532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334177.75
95-th percentile245481.05
Maximum544986
Range544986
Interquartile range (IQR)34177.75

Descriptive statistics

Standard deviation86313.46
Coefficient of variation (CV)2.2689928
Kurtosis11.981137
Mean38040.429
Median Absolute Deviation (MAD)0
Skewness3.3901043
Sum3.6899216 × 108
Variance7.4500133 × 109
MonotonicityNot monotonic
2024-03-13T20:45:58.283564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5335
55.0%
78899 2
 
< 0.1%
13572 2
 
< 0.1%
22574 2
 
< 0.1%
70365 2
 
< 0.1%
32395 2
 
< 0.1%
13664 2
 
< 0.1%
23319 2
 
< 0.1%
106603 2
 
< 0.1%
47707 2
 
< 0.1%
Other values (4297) 4347
44.8%
ValueCountFrequency (%)
0 5335
55.0%
23 1
 
< 0.1%
45 1
 
< 0.1%
68 1
 
< 0.1%
84 1
 
< 0.1%
90 1
 
< 0.1%
102 1
 
< 0.1%
108 1
 
< 0.1%
109 1
 
< 0.1%
113 1
 
< 0.1%
ValueCountFrequency (%)
544986 1
< 0.1%
543947 1
< 0.1%
542908 1
< 0.1%
540830 1
< 0.1%
538752 1
< 0.1%
537713 1
< 0.1%
536674 1
< 0.1%
535635 1
< 0.1%
534596 1
< 0.1%
533557 1
< 0.1%

수계
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size75.9 KiB
낙동강
4849 
기타
1455 
섬진강
1455 
한강
971 
금강
970 

Length

Max length3
Median length3
Mean length2.6498969
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금강
2nd row금강
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
낙동강 4849
50.0%
기타 1455
 
15.0%
섬진강 1455
 
15.0%
한강 971
 
10.0%
금강 970
 
10.0%

Length

2024-03-13T20:45:58.449229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:45:58.580866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
낙동강 4849
50.0%
기타 1455
 
15.0%
섬진강 1455
 
15.0%
한강 971
 
10.0%
금강 970
 
10.0%

저수위(현재)
Real number (ℝ)

Distinct6440
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.50371
Minimum35.31
Maximum361.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:58.718383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.31
5-th percentile39.18
Q175.39
median149.37
Q3188.32
95-th percentile265.614
Maximum361.77
Range326.46
Interquartile range (IQR)112.93

Descriptive statistics

Standard deviation76.00799
Coefficient of variation (CV)0.51182552
Kurtosis0.52698977
Mean148.50371
Median Absolute Deviation (MAD)50.16
Skewness0.67942214
Sum1440486
Variance5777.2145
MonotonicityNot monotonic
2024-03-13T20:45:58.920823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.04 11
 
0.1%
38.06 10
 
0.1%
38.93 9
 
0.1%
69.82 9
 
0.1%
38.19 9
 
0.1%
39.22 8
 
0.1%
39.04 8
 
0.1%
74.18 8
 
0.1%
38.79 8
 
0.1%
39.16 7
 
0.1%
Other values (6430) 9613
99.1%
ValueCountFrequency (%)
35.31 1
< 0.1%
35.44 1
< 0.1%
35.93 1
< 0.1%
36.46 1
< 0.1%
36.47 1
< 0.1%
36.52 1
< 0.1%
36.57 1
< 0.1%
36.61 1
< 0.1%
36.68 2
< 0.1%
36.71 1
< 0.1%
ValueCountFrequency (%)
361.77 1
 
< 0.1%
361.62 1
 
< 0.1%
361.47 3
< 0.1%
361.46 1
 
< 0.1%
361.45 1
 
< 0.1%
361.43 1
 
< 0.1%
361.41 2
< 0.1%
361.4 1
 
< 0.1%
361.33 1
 
< 0.1%
361.29 1
 
< 0.1%

저수위(전년)
Real number (ℝ)

Distinct6422
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.02871
Minimum34.71
Maximum360.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:59.116715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.71
5-th percentile39.27
Q176.385
median151.575
Q3188.72
95-th percentile263.599
Maximum360.82
Range326.11
Interquartile range (IQR)112.335

Descriptive statistics

Standard deviation76.142101
Coefficient of variation (CV)0.51092238
Kurtosis0.56124776
Mean149.02871
Median Absolute Deviation (MAD)49.225
Skewness0.68785641
Sum1445578.4
Variance5797.6196
MonotonicityNot monotonic
2024-03-13T20:45:59.291715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.72 11
 
0.1%
151.99 10
 
0.1%
190.0 10
 
0.1%
39.55 8
 
0.1%
38.04 8
 
0.1%
71.84 8
 
0.1%
189.99 8
 
0.1%
39.46 7
 
0.1%
40.69 7
 
0.1%
71.85 7
 
0.1%
Other values (6412) 9616
99.1%
ValueCountFrequency (%)
34.71 1
 
< 0.1%
36.13 1
 
< 0.1%
36.17 1
 
< 0.1%
36.19 1
 
< 0.1%
36.25 1
 
< 0.1%
36.33 1
 
< 0.1%
36.4 1
 
< 0.1%
36.46 1
 
< 0.1%
36.47 2
< 0.1%
36.48 3
< 0.1%
ValueCountFrequency (%)
360.82 1
 
< 0.1%
360.73 1
 
< 0.1%
360.66 1
 
< 0.1%
360.54 1
 
< 0.1%
360.52 3
< 0.1%
360.5 1
 
< 0.1%
360.49 2
< 0.1%
360.48 3
< 0.1%
360.47 1
 
< 0.1%
360.46 1
 
< 0.1%

전일 방류량(조정지)
Real number (ℝ)

SKEWED  ZEROS 

Distinct945
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.371144
Minimum0
Maximum7651.3
Zeros6790
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:59.456766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.1
95-th percentile76.11
Maximum7651.3
Range7651.3
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation165.47474
Coefficient of variation (CV)7.7429048
Kurtosis870.64546
Mean21.371144
Median Absolute Deviation (MAD)0
Skewness24.88727
Sum207300.1
Variance27381.888
MonotonicityNot monotonic
2024-03-13T20:45:59.634043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6790
70.0%
7.1 52
 
0.5%
9.7 35
 
0.4%
8.1 35
 
0.4%
8.2 33
 
0.3%
7.0 32
 
0.3%
6.2 30
 
0.3%
3.9 29
 
0.3%
9.8 29
 
0.3%
9.4 26
 
0.3%
Other values (935) 2609
 
26.9%
ValueCountFrequency (%)
0.0 6790
70.0%
0.9 6
 
0.1%
1.0 22
 
0.2%
1.1 2
 
< 0.1%
1.3 2
 
< 0.1%
1.4 3
 
< 0.1%
1.5 17
 
0.2%
1.6 1
 
< 0.1%
1.8 2
 
< 0.1%
1.9 9
 
0.1%
ValueCountFrequency (%)
7651.3 1
< 0.1%
6645.3 1
< 0.1%
4156.5 1
< 0.1%
4033.8 1
< 0.1%
2848.1 1
< 0.1%
2793.2 1
< 0.1%
2784.9 1
< 0.1%
2721.0 1
< 0.1%
2387.7 1
< 0.1%
2386.7 1
< 0.1%

저수량(예년)
Real number (ℝ)

Distinct4679
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.43395
Minimum6
Maximum1939.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:45:59.810607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12.475
Q134.9
median128.95
Q3414.5
95-th percentile1459.23
Maximum1939.3
Range1933.3
Interquartile range (IQR)379.6

Descriptive statistics

Standard deviation443.15744
Coefficient of variation (CV)1.3617431
Kurtosis2.6419303
Mean325.43395
Median Absolute Deviation (MAD)105.85
Skewness1.8685207
Sum3156709.3
Variance196388.52
MonotonicityNot monotonic
2024-03-13T20:45:59.976774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8 42
 
0.4%
6.4 38
 
0.4%
6.9 31
 
0.3%
28.6 26
 
0.3%
6.5 26
 
0.3%
13.7 24
 
0.2%
28.7 24
 
0.2%
28.0 22
 
0.2%
19.3 21
 
0.2%
28.5 21
 
0.2%
Other values (4669) 9425
97.2%
ValueCountFrequency (%)
6.0 2
 
< 0.1%
6.1 7
 
0.1%
6.2 3
 
< 0.1%
6.3 11
 
0.1%
6.4 38
0.4%
6.5 26
0.3%
6.6 14
 
0.1%
6.7 17
0.2%
6.8 42
0.4%
6.9 31
0.3%
ValueCountFrequency (%)
1939.3 1
< 0.1%
1937.8 1
< 0.1%
1924.3 1
< 0.1%
1920.8 1
< 0.1%
1920.4 1
< 0.1%
1919.7 1
< 0.1%
1919.6 1
< 0.1%
1915.8 1
< 0.1%
1915.7 1
< 0.1%
1905.5 1
< 0.1%

전일 방류량(본댐)
Real number (ℝ)

Distinct964
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.204454
Minimum0
Maximum5775.2
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:46:00.200459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.7
median6.9
Q322.5
95-th percentile100
Maximum5775.2
Range5775.2
Interquartile range (IQR)20.8

Descriptive statistics

Standard deviation134.41486
Coefficient of variation (CV)4.3075539
Kurtosis512.87903
Mean31.204454
Median Absolute Deviation (MAD)6.3
Skewness17.998899
Sum302683.2
Variance18067.356
MonotonicityNot monotonic
2024-03-13T20:46:00.444565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 302
 
3.1%
0.3 293
 
3.0%
0.8 287
 
3.0%
0.4 261
 
2.7%
0.7 255
 
2.6%
0.6 255
 
2.6%
1.7 230
 
2.4%
0.5 199
 
2.1%
16.7 150
 
1.5%
3.2 139
 
1.4%
Other values (954) 7329
75.6%
ValueCountFrequency (%)
0.0 15
 
0.2%
0.1 28
 
0.3%
0.2 302
3.1%
0.3 293
3.0%
0.4 261
2.7%
0.5 199
2.1%
0.6 255
2.6%
0.7 255
2.6%
0.8 287
3.0%
0.9 114
 
1.2%
ValueCountFrequency (%)
5775.2 1
< 0.1%
3700.2 1
< 0.1%
3166.1 1
< 0.1%
2484.4 1
< 0.1%
2352.3 1
< 0.1%
2127.2 1
< 0.1%
2100.4 1
< 0.1%
2043.1 1
< 0.1%
1999.0 1
< 0.1%
1995.9 1
< 0.1%

전년 누계강우량
Real number (ℝ)

ZEROS 

Distinct3024
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.50567
Minimum0
Maximum1651.1
Zeros531
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:46:00.960460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1163.55
median573.75
Q3965
95-th percentile1375.2
Maximum1651.1
Range1651.1
Interquartile range (IQR)801.45

Descriptive statistics

Standard deviation458.26787
Coefficient of variation (CV)0.77344047
Kurtosis-1.1303208
Mean592.50567
Median Absolute Deviation (MAD)402.35
Skewness0.30241789
Sum5747305
Variance210009.44
MonotonicityNot monotonic
2024-03-13T20:46:01.198803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 531
 
5.5%
0.2 84
 
0.9%
0.1 69
 
0.7%
0.8 56
 
0.6%
0.5 33
 
0.3%
836.1 31
 
0.3%
740.3 31
 
0.3%
613.5 31
 
0.3%
587.8 31
 
0.3%
1008.4 30
 
0.3%
Other values (3014) 8773
90.4%
ValueCountFrequency (%)
0.0 531
5.5%
0.1 69
 
0.7%
0.2 84
 
0.9%
0.3 19
 
0.2%
0.4 14
 
0.1%
0.5 33
 
0.3%
0.6 16
 
0.2%
0.7 18
 
0.2%
0.8 56
 
0.6%
0.9 24
 
0.2%
ValueCountFrequency (%)
1651.1 10
0.1%
1650.7 1
 
< 0.1%
1649.6 1
 
< 0.1%
1648.5 1
 
< 0.1%
1646.5 11
0.1%
1646.1 2
 
< 0.1%
1617.7 2
 
< 0.1%
1615.2 1
 
< 0.1%
1613.0 7
0.1%
1598.1 1
 
< 0.1%

수집날짜
Real number (ℝ)

Distinct485
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226707
Minimum20220420
Maximum20240106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.4 KiB
2024-03-13T20:46:01.392750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20220420
5-th percentile20220517
Q120220910
median20230224
Q320230804
95-th percentile20231210
Maximum20240106
Range19686
Interquartile range (IQR)9894

Descriptive statistics

Standard deviation5064.0537
Coefficient of variation (CV)0.00025036471
Kurtosis-1.4080137
Mean20226707
Median Absolute Deviation (MAD)893
Skewness-0.14199193
Sum1.9619906 × 1011
Variance25644640
MonotonicityNot monotonic
2024-03-13T20:46:01.590376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20220420 20
 
0.2%
20230515 20
 
0.2%
20230622 20
 
0.2%
20230621 20
 
0.2%
20230620 20
 
0.2%
20230619 20
 
0.2%
20230618 20
 
0.2%
20230617 20
 
0.2%
20230614 20
 
0.2%
20230613 20
 
0.2%
Other values (475) 9500
97.9%
ValueCountFrequency (%)
20220420 20
0.2%
20220421 20
0.2%
20220422 20
0.2%
20220423 20
0.2%
20220424 20
0.2%
20220425 20
0.2%
20220426 20
0.2%
20220427 20
0.2%
20220428 20
0.2%
20220429 20
0.2%
ValueCountFrequency (%)
20240106 20
0.2%
20240105 20
0.2%
20240104 20
0.2%
20240103 20
0.2%
20240102 20
0.2%
20240101 20
0.2%
20231231 20
0.2%
20231230 20
0.2%
20231229 20
0.2%
20231228 20
0.2%

Sample

댐이름강우량(금일)저수량(현재)전일 유입량강우량(전일)금년 누계강우량연간계획대비저수량(전년)저수위(예년)연간발전계획현재저수율예년 누계강우량발전량(실적)발전량(계획대비)발전량(계획)수계저수위(현재)저수위(전년)전일 방류량(조정지)저수량(예년)전일 방류량(본댐)전년 누계강우량수집날짜
0대청0.0919.626.10.0108.5161.9871.068.5410437961.7149.81894518.211700금강71.9671.0828.0783.635.8173.820220420
1용담0.0417.95.50.0124.0115.6452.3249.318964351.3188.22587928.922387금강251.42252.990.0373.816.4201.320220420
2보령0.036.50.40.0119.40.044.964.11031.2168.800.00기타62.2164.240.049.93.2173.720220420
3부안0.038.80.00.0131.20.034.035.58077.0188.100.00기타40.0938.210.027.60.7217.620220420
4장흥0.095.70.40.0140.70.0107.269.95050.1206.400.00기타71.7373.290.084.42.1282.120220420
5군위0.016.80.00.047.60.023.3191.53034.5137.100.00낙동강189.06192.890.021.01.0153.820220420
6김천부항0.023.00.50.0100.40.022.8185.09042.4175.900.00낙동강182.33182.180.027.81.7163.820220420
7남강0.0152.96.40.0101.261.3126.238.483321449.4214.6474514.37746낙동강39.9238.870.0116.810.4247.920220420
8밀양0.039.50.20.079.00.052.3190.3053.6218.600.00낙동강189.71197.830.040.71.7289.420220420
9보현산0.09.00.10.056.00.08.8223.62040.5156.100.00낙동강225.33225.070.06.90.5186.320220420
댐이름강우량(금일)저수량(현재)전일 유입량강우량(전일)금년 누계강우량연간계획대비저수량(전년)저수위(예년)연간발전계획현재저수율예년 누계강우량발전량(실적)발전량(계획대비)발전량(계획)수계저수위(현재)저수위(전년)전일 방류량(조정지)저수량(예년)전일 방류량(본댐)전년 누계강우량수집날짜
9690성덕0.021.40.00.00.60.012.2353.7076.61.400.00낙동강359.88351.130.014.60.60.020240106
9691안동0.01009.68.80.00.496.2604.4146.8511702480.92.29950.81034낙동강156.33146.0619.4618.519.80.020240106
9692영주0.082.93.60.00.00.069.9151.54045.80.000.00낙동강152.38149.670.080.74.80.020240106
9693임하0.0480.80.00.00.866.7200.5147.893818880.81.13400.9509낙동강159.88144.188.1252.012.60.020240106
9694합천0.0654.88.20.01.693.9241.4159.2513371282.93.115831.21687낙동강173.23148.8418.0387.215.90.420240106
9695섬진강0.0377.59.90.00.50.097.8184.52081.05.200.00섬진강193.84175.670.0203.83.41.420240106
9696주암(본)0.0321.64.50.02.10.0129.499.94070.42.400.00섬진강105.193.650.0219.812.72.220240106
9697주암(조)0.0183.95.80.01.892.565.794.484385573.62.34991.1539섬진강104.1480.037.3127.37.31.020240106
9698소양강0.02058.820.70.00.2106.31825.9176.1437251071.03.347861.34503한강186.56182.180.01534.630.00.020240106
9699충주0.02003.363.80.00.154.51710.7130.3560355372.83.133100.56075한강138.7134.8694.31417.182.10.020240106