Overview

Dataset statistics

Number of variables22
Number of observations368
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.1 KiB
Average record size in memory192.4 B

Variable types

Categorical4
Text2
DateTime1
Numeric15

Dataset

Description한강홍수통제소에서 수문자료를 수집, 관측 중인 관측소 등 수문모형 시설물의 정보입니다. 예보유역명, 하도명, 총저수량, 유효저수량, 저수용량 등 데이터를 제공합니다.
Author환경부 한강홍수통제소
URLhttps://www.data.go.kr/data/15086316/fileData.do

Alerts

보조일류부표고 has constant value ""Constant
관측소유형 is highly imbalanced (52.0%)Imbalance
관리기관명 has 44 (12.0%) zerosZeros
총저수량 has 44 (12.0%) zerosZeros
유효저수량 has 304 (82.6%) zerosZeros
저수용량 has 305 (82.9%) zerosZeros
홍수조절용량 has 83 (22.6%) zerosZeros
계획홍수위 has 88 (23.9%) zerosZeros
상시만수위 has 89 (24.2%) zerosZeros
홍수기제한수위 has 293 (79.6%) zerosZeros
저수위 has 115 (31.2%) zerosZeros
일류부표고 has 168 (45.7%) zerosZeros
일류부길이 has 355 (96.5%) zerosZeros
보조일류부길이 has 321 (87.2%) zerosZeros
무피해방류량 has 321 (87.2%) zerosZeros
최대가능방류량 has 316 (85.9%) zerosZeros

Reproduction

Analysis started2023-12-12 12:22:08.022418
Analysis finished2023-12-12 12:22:08.387699
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

예보유역명
Categorical

Distinct13
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
낙동강
164 
한강
67 
금강
38 
영산강
38 
섬진강
31 
Other values (8)
30 

Length

Max length7
Median length3
Mean length2.8478261
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
낙동강 164
44.6%
한강 67
18.2%
금강 38
 
10.3%
영산강 38
 
10.3%
섬진강 31
 
8.4%
만경 · 동진 11
 
3.0%
안성천 5
 
1.4%
한강동해 3
 
0.8%
태화강 3
 
0.8%
삽교천 3
 
0.8%
Other values (3) 5
 
1.4%

Length

2023-12-12T21:22:08.479451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
낙동강 164
42.1%
한강 67
17.2%
금강 38
 
9.7%
영산강 38
 
9.7%
섬진강 31
 
7.9%
만경 11
 
2.8%
· 11
 
2.8%
동진 11
 
2.8%
안성천 5
 
1.3%
한강동해 3
 
0.8%
Other values (5) 11
 
2.8%

하도명
Text

Distinct193
Distinct (%)52.9%
Missing3
Missing (%)0.8%
Memory size3.0 KiB
2023-12-12T21:22:08.699743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length9.060274
Min length7

Characters and Unicode

Total characters3307
Distinct characters120
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)19.5%

Sample

1st row1021070
2nd row1021070
3rd row1007110강천보(상류)
4th row1007110강천보(상류)
5th row1014070
ValueCountFrequency (%)
2004020 3
 
0.8%
2020130 3
 
0.8%
2003040 3
 
0.8%
2003090 3
 
0.8%
2012020영천댐 3
 
0.8%
2013070 3
 
0.8%
2005080 3
 
0.8%
2013050 3
 
0.8%
2004100 3
 
0.8%
2019010남강댐방수로 3
 
0.8%
Other values (183) 335
91.8%
2023-12-12T21:22:09.034383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1198
36.2%
1 438
 
13.2%
2 313
 
9.5%
3 165
 
5.0%
4 127
 
3.8%
5 94
 
2.8%
댐 80
 
2.4%
6 64
 
1.9%
8 57
 
1.7%
( 55
 
1.7%
Other values (110) 716
21.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2553
77.2%
Other Letter 624
 
18.9%
Open Punctuation 58
 
1.8%
Close Punctuation 58
 
1.8%
Math Symbol 5
 
0.2%
Other Punctuation 3
 
0.1%
Connector Punctuation 3
 
0.1%
Lowercase Letter 2
 
0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
댐 80
 
12.8%
보 36
 
5.8%
천 33
 
5.3%
상 31
 
5.0%
군 25
 
4.0%
주 24
 
3.8%
시 17
 
2.7%
성 15
 
2.4%
동 14
 
2.2%
양 14
 
2.2%
Other values (91) 335
53.7%
Decimal Number
ValueCountFrequency (%)
0 1198
46.9%
1 438
 
17.2%
2 313
 
12.3%
3 165
 
6.5%
4 127
 
5.0%
5 94
 
3.7%
6 64
 
2.5%
8 57
 
2.2%
7 51
 
2.0%
9 46
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 55
94.8%
[ 3
 
5.2%
Close Punctuation
ValueCountFrequency (%)
) 55
94.8%
] 3
 
5.2%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2681
81.1%
Hangul 624
 
18.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
댐 80
 
12.8%
보 36
 
5.8%
천 33
 
5.3%
상 31
 
5.0%
군 25
 
4.0%
주 24
 
3.8%
시 17
 
2.7%
성 15
 
2.4%
동 14
 
2.2%
양 14
 
2.2%
Other values (91) 335
53.7%
Common
ValueCountFrequency (%)
0 1198
44.7%
1 438
 
16.3%
2 313
 
11.7%
3 165
 
6.2%
4 127
 
4.7%
5 94
 
3.5%
6 64
 
2.4%
8 57
 
2.1%
( 55
 
2.1%
) 55
 
2.1%
Other values (8) 115
 
4.3%
Latin
ValueCountFrequency (%)
c 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2680
81.0%
Hangul 624
 
18.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1198
44.7%
1 438
 
16.3%
2 313
 
11.7%
3 165
 
6.2%
4 127
 
4.7%
5 94
 
3.5%
6 64
 
2.4%
8 57
 
2.1%
( 55
 
2.1%
) 55
 
2.1%
Other values (8) 114
 
4.3%
Hangul
ValueCountFrequency (%)
댐 80
 
12.8%
보 36
 
5.8%
천 33
 
5.3%
상 31
 
5.0%
군 25
 
4.0%
주 24
 
3.8%
시 17
 
2.7%
성 15
 
2.4%
동 14
 
2.2%
양 14
 
2.2%
Other values (91) 335
53.7%
None
ValueCountFrequency (%)
· 3
100.0%

적용시작일자
Date

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2000-01-01 00:00:00
Maximum2021-01-01 00:00:00
2023-12-12T21:22:09.151249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:22:09.264547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

적용종료일자
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
9999-12-31
189 
2017-12-31
55 
2017-05-31
53 
2017-05-10
33 
2020-12-31
20 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-05-10
2nd row9999-12-31
3rd row2017-05-10
4th row9999-12-31
5th row2017-05-10

Common Values

ValueCountFrequency (%)
9999-12-31 189
51.4%
2017-12-31 55
 
14.9%
2017-05-31 53
 
14.4%
2017-05-10 33
 
9.0%
2020-12-31 20
 
5.4%
2012-12-31 18
 
4.9%

Length

2023-12-12T21:22:09.399005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:22:09.517156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999-12-31 189
51.4%
2017-12-31 55
 
14.9%
2017-05-31 53
 
14.4%
2017-05-10 33
 
9.0%
2020-12-31 20
 
5.4%
2012-12-31 18
 
4.9%

관측소유형
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
수위관측소
294 
댐관측소
72 
저수지관측소
 
2

Length

Max length6
Median length5
Mean length4.8097826
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수위관측소 294
79.9%
댐관측소 72
 
19.6%
저수지관측소 2
 
0.5%

Length

2023-12-12T21:22:09.657891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:22:09.769103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수위관측소 294
79.9%
댐관측소 72
 
19.6%
저수지관측소 2
 
0.5%

관측소코드
Real number (ℝ)

Distinct202
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6926346 × 109
Minimum0
Maximum4.8890101 × 109
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:09.893623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1008488
Q12014820
median4.34301 × 109
Q34.6942601 × 109
95-th percentile4.8860102 × 109
Maximum4.8890101 × 109
Range4.8890101 × 109
Interquartile range (IQR)4.6922452 × 109

Descriptive statistics

Standard deviation2.2573373 × 109
Coefficient of variation (CV)0.83833776
Kurtosis-1.8589305
Mean2.6926346 × 109
Median Absolute Deviation (MAD)5.4200013 × 108
Skewness-0.32798754
Sum9.9088953 × 1011
Variance5.0955715 × 1018
MonotonicityNot monotonic
2023-12-12T21:22:10.037674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4725010217 3
 
0.8%
4825010076 3
 
0.8%
4886010221 3
 
0.8%
4723010558 3
 
0.8%
4773010133 3
 
0.8%
4792010014 3
 
0.8%
2002110 3
 
0.8%
2726010006 3
 
0.8%
2002610 3
 
0.8%
4773010451 3
 
0.8%
Other values (192) 338
91.8%
ValueCountFrequency (%)
0 1
0.3%
1001210 2
0.5%
1001310 2
0.5%
1003110 2
0.5%
1003611 2
0.5%
1004310 2
0.5%
1006110 2
0.5%
1007801 1
0.3%
1007802 1
0.3%
1007803 1
0.3%
ValueCountFrequency (%)
4889010056 3
0.8%
4888010183 3
0.8%
4888010050 3
0.8%
4887010191 3
0.8%
4887010182 3
0.8%
4886010221 3
0.8%
4886010220 3
0.8%
4885010167 3
0.8%
4885010137 2
0.5%
4872010141 3
0.8%

시설물명칭
Text

Distinct199
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T21:22:10.321262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.5326087
Min length3

Characters and Unicode

Total characters1668
Distinct characters152
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)21.7%

Sample

1st row4월5일댐
2nd row4월5일댐
3rd row강천보
4th row강천보
5th row개운저수지
ValueCountFrequency (%)
강정고령보 4
 
1.1%
갈평저수지 3
 
0.8%
가음저수지 3
 
0.8%
고현저수지 3
 
0.8%
서암저수지 3
 
0.8%
금봉저수지(의성 3
 
0.8%
금봉저수지(봉화 3
 
0.8%
옥성저수지 3
 
0.8%
구미보 3
 
0.8%
공산댐 3
 
0.8%
Other values (185) 337
91.6%
2023-12-12T21:22:10.714277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 231
 
13.8%
수 225
 
13.5%
저 213
 
12.8%
댐 102
 
6.1%
보 44
 
2.6%
동 33
 
2.0%
천 32
 
1.9%
강 24
 
1.4%
평 21
 
1.3%
성 21
 
1.3%
Other values (142) 722
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1640
98.3%
Space Separator 12
 
0.7%
Close Punctuation 6
 
0.4%
Open Punctuation 6
 
0.4%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 231
 
14.1%
수 225
 
13.7%
저 213
 
13.0%
댐 102
 
6.2%
보 44
 
2.7%
동 33
 
2.0%
천 32
 
2.0%
강 24
 
1.5%
평 21
 
1.3%
성 21
 
1.3%
Other values (137) 694
42.3%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
4 2
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1640
98.3%
Common 28
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 231
 
14.1%
수 225
 
13.7%
저 213
 
13.0%
댐 102
 
6.2%
보 44
 
2.7%
동 33
 
2.0%
천 32
 
2.0%
강 24
 
1.5%
평 21
 
1.3%
성 21
 
1.3%
Other values (137) 694
42.3%
Common
ValueCountFrequency (%)
12
42.9%
) 6
21.4%
( 6
21.4%
5 2
 
7.1%
4 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1640
98.3%
ASCII 28
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 231
 
14.1%
수 225
 
13.7%
저 213
 
13.0%
댐 102
 
6.2%
보 44
 
2.7%
동 33
 
2.0%
천 32
 
2.0%
강 24
 
1.5%
평 21
 
1.3%
성 21
 
1.3%
Other values (137) 694
42.3%
ASCII
ValueCountFrequency (%)
12
42.9%
) 6
21.4%
( 6
21.4%
5 2
 
7.1%
4 2
 
7.1%

관리기관명
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.46769
Minimum0
Maximum2900
Zeros44
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:10.859191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8532
median2.777
Q325.151
95-th percentile549.85
Maximum2900
Range2900
Interquartile range (IQR)24.2978

Descriptive statistics

Standard deviation395.58835
Coefficient of variation (CV)3.7155718
Kurtosis33.794826
Mean106.46769
Median Absolute Deviation (MAD)2.688
Skewness5.6156458
Sum39180.11
Variance156490.14
MonotonicityNot monotonic
2023-12-12T21:22:11.006307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
12.0%
1.8 3
 
0.8%
309.2 3
 
0.8%
2.254 3
 
0.8%
2.758 3
 
0.8%
73.6 3
 
0.8%
2.203 3
 
0.8%
0.3269 3
 
0.8%
1.964 3
 
0.8%
3.04 3
 
0.8%
Other values (164) 297
80.7%
ValueCountFrequency (%)
0.0 44
12.0%
0.05453 3
 
0.8%
0.229 1
 
0.3%
0.2538 1
 
0.3%
0.3269 3
 
0.8%
0.3388 3
 
0.8%
0.36705 2
 
0.5%
0.5214 1
 
0.3%
0.5546 3
 
0.8%
0.57645 3
 
0.8%
ValueCountFrequency (%)
2900.0 2
0.5%
2750.0 2
0.5%
2730.0 2
0.5%
1490.0 1
 
0.3%
1248.0 3
0.8%
1018.4 2
0.5%
815.0 1
 
0.3%
790.0 3
0.8%
595.0 3
0.8%
466.0 2
0.5%

총저수량
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.070482
Minimum0
Maximum2730
Zeros44
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:11.145382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8532
median2.664
Q318
95-th percentile405.1
Maximum2730
Range2730
Interquartile range (IQR)17.1468

Descriptive statistics

Standard deviation304.48146
Coefficient of variation (CV)3.7557623
Kurtosis42.209717
Mean81.070482
Median Absolute Deviation (MAD)2.37545
Skewness6.1078423
Sum29833.937
Variance92708.957
MonotonicityNot monotonic
2023-12-12T21:22:11.627500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
12.0%
1.4 3
 
0.8%
299.7 3
 
0.8%
2.15687 3
 
0.8%
2.664 3
 
0.8%
69.8 3
 
0.8%
2.121 3
 
0.8%
0.3233 3
 
0.8%
1.846 3
 
0.8%
2.74 3
 
0.8%
Other values (164) 297
80.7%
ValueCountFrequency (%)
0.0 44
12.0%
0.05453 3
 
0.8%
0.229 1
 
0.3%
0.2538 1
 
0.3%
0.3233 3
 
0.8%
0.3388 3
 
0.8%
0.36705 2
 
0.5%
0.5214 1
 
0.3%
0.53148 3
 
0.8%
0.5546 3
 
0.8%
ValueCountFrequency (%)
2730.0 2
0.5%
1900.0 2
0.5%
1789.0 2
0.5%
1000.0 3
0.8%
790.0 1
 
0.3%
672.0 1
 
0.3%
658.0 2
0.5%
560.0 3
0.8%
424.0 3
0.8%
370.0 2
0.5%

유효저수량
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.583696
Minimum0
Maximum650
Zeros304
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:11.812360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile104.98
Maximum650
Range650
Interquartile range (IQR)0

Descriptive statistics

Standard deviation80.348286
Coefficient of variation (CV)4.3235903
Kurtosis37.893972
Mean18.583696
Median Absolute Deviation (MAD)0
Skewness5.8855708
Sum6838.8
Variance6455.847
MonotonicityNot monotonic
2023-12-12T21:22:11.975126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 304
82.6%
9.5 3
 
0.8%
150.0 3
 
0.8%
124.0 3
 
0.8%
11.56 3
 
0.8%
12.17 3
 
0.8%
3.8 3
 
0.8%
248.0 3
 
0.8%
596.0 2
 
0.5%
102.9 2
 
0.5%
Other values (27) 39
 
10.6%
ValueCountFrequency (%)
0.0 304
82.6%
0.46 1
 
0.3%
0.49 2
 
0.5%
0.63 1
 
0.3%
1.0 2
 
0.5%
1.2 1
 
0.3%
1.3 1
 
0.3%
2.28 2
 
0.5%
3.57 1
 
0.3%
3.7 1
 
0.3%
ValueCountFrequency (%)
650.0 2
0.5%
596.0 2
0.5%
450.0 1
 
0.3%
360.4 2
0.5%
248.0 3
0.8%
226.0 2
0.5%
150.0 3
0.8%
124.0 3
0.8%
106.1 1
 
0.3%
102.9 2
0.5%

저수용량
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.832011
Minimum0
Maximum2730
Zeros305
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:12.113297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile110
Maximum2730
Range2730
Interquartile range (IQR)0

Descriptive statistics

Standard deviation216.36842
Coefficient of variation (CV)6.5901667
Kurtosis131.8023
Mean32.832011
Median Absolute Deviation (MAD)0
Skewness10.963742
Sum12082.18
Variance46815.295
MonotonicityNot monotonic
2023-12-12T21:22:12.253436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 305
82.9%
269.8 3
 
0.8%
80.0 3
 
0.8%
244.0 3
 
0.8%
110.0 3
 
0.8%
6.0 3
 
0.8%
3.1 3
 
0.8%
14.0 2
 
0.5%
616.0 2
 
0.5%
60.0 2
 
0.5%
Other values (26) 39
 
10.6%
ValueCountFrequency (%)
0.0 305
82.9%
1.0 2
 
0.5%
2.3 1
 
0.3%
3.0 1
 
0.3%
3.1 3
 
0.8%
3.5 1
 
0.3%
3.53 2
 
0.5%
3.75 1
 
0.3%
4.2 1
 
0.3%
6.0 3
 
0.8%
ValueCountFrequency (%)
2730.0 2
0.5%
770.0 2
0.5%
616.0 2
0.5%
274.0 1
 
0.3%
269.8 3
0.8%
250.0 1
 
0.3%
244.0 3
0.8%
213.0 2
0.5%
137.0 1
 
0.3%
110.0 3
0.8%

홍수조절용량
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.21052
Minimum0
Maximum711.5
Zeros83
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:12.398780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.05
median107.75
Q3210.2
95-th percentile405.42
Maximum711.5
Range711.5
Interquartile range (IQR)177.15

Descriptive statistics

Standard deviation143.10015
Coefficient of variation (CV)0.98546684
Kurtosis2.029608
Mean145.21052
Median Absolute Deviation (MAD)97.35
Skewness1.359159
Sum53437.47
Variance20477.652
MonotonicityNot monotonic
2023-12-12T21:22:12.548012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 83
 
22.6%
297.3 6
 
1.6%
144.1 3
 
0.8%
161.7 3
 
0.8%
150.2 3
 
0.8%
226.0 3
 
0.8%
107.0 3
 
0.8%
518.7 3
 
0.8%
305.0 3
 
0.8%
210.2 3
 
0.8%
Other values (134) 255
69.3%
ValueCountFrequency (%)
0.0 83
22.6%
3.7 3
 
0.8%
18.3 1
 
0.3%
27.0 2
 
0.5%
27.96 1
 
0.3%
30.4 1
 
0.3%
33.05 2
 
0.5%
35.1 1
 
0.3%
39.82 2
 
0.5%
40.0 2
 
0.5%
ValueCountFrequency (%)
711.5 2
0.5%
675.3 2
0.5%
619.8 2
0.5%
588.0 1
 
0.3%
522.0 1
 
0.3%
518.7 3
0.8%
494.0 1
 
0.3%
436.5 3
0.8%
423.0 1
 
0.3%
421.0 1
 
0.3%

계획홍수위
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.19465
Minimum0
Maximum707
Zeros88
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:12.710855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.49
median107
Q3209.3
95-th percentile405.42
Maximum707
Range707
Interquartile range (IQR)179.81

Descriptive statistics

Standard deviation143.33869
Coefficient of variation (CV)0.99406388
Kurtosis1.9732823
Mean144.19465
Median Absolute Deviation (MAD)100.2
Skewness1.3531777
Sum53063.63
Variance20545.98
MonotonicityNot monotonic
2023-12-12T21:22:12.846474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 88
 
23.9%
297.3 6
 
1.6%
108.5 4
 
1.1%
163.0 4
 
1.1%
41.0 3
 
0.8%
304.1 3
 
0.8%
170.5 3
 
0.8%
396.2 3
 
0.8%
101.16 3
 
0.8%
207.2 3
 
0.8%
Other values (129) 248
67.4%
ValueCountFrequency (%)
0.0 88
23.9%
18.3 1
 
0.3%
25.5 2
 
0.5%
27.96 1
 
0.3%
30.0 1
 
0.3%
30.4 1
 
0.3%
33.05 2
 
0.5%
39.82 2
 
0.5%
41.0 3
 
0.8%
47.0 1
 
0.3%
ValueCountFrequency (%)
707.0 2
0.5%
672.0 2
0.5%
619.8 2
0.5%
588.0 1
 
0.3%
522.0 1
 
0.3%
518.7 3
0.8%
494.0 1
 
0.3%
436.5 3
0.8%
423.0 1
 
0.3%
421.0 1
 
0.3%

상시만수위
Real number (ℝ)

ZEROS 

Distinct139
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.43473
Minimum0
Maximum707
Zeros89
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:12.990299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.345
median107
Q3209.3
95-th percentile405.42
Maximum707
Range707
Interquartile range (IQR)181.955

Descriptive statistics

Standard deviation143.59538
Coefficient of variation (CV)1.0011201
Kurtosis1.9698857
Mean143.43473
Median Absolute Deviation (MAD)100.2
Skewness1.3578387
Sum52783.98
Variance20619.634
MonotonicityNot monotonic
2023-12-12T21:22:13.148797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 89
 
24.2%
297.3 6
 
1.6%
108.5 4
 
1.1%
156.8 3
 
0.8%
41.0 3
 
0.8%
304.1 3
 
0.8%
170.5 3
 
0.8%
396.2 3
 
0.8%
101.16 3
 
0.8%
207.2 3
 
0.8%
Other values (129) 248
67.4%
ValueCountFrequency (%)
0.0 89
24.2%
18.3 1
 
0.3%
25.5 2
 
0.5%
27.96 1
 
0.3%
30.0 1
 
0.3%
30.4 1
 
0.3%
33.05 2
 
0.5%
39.82 2
 
0.5%
41.0 3
 
0.8%
46.22 1
 
0.3%
ValueCountFrequency (%)
707.0 2
0.5%
672.0 2
0.5%
619.8 2
0.5%
588.0 1
 
0.3%
522.0 1
 
0.3%
518.7 3
0.8%
494.0 1
 
0.3%
436.5 3
0.8%
423.0 1
 
0.3%
421.0 1
 
0.3%

홍수기제한수위
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.088315
Minimum0
Maximum662
Zeros293
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:13.292673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150
Maximum662
Range662
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.611997
Coefficient of variation (CV)2.7348189
Kurtosis40.64333
Mean25.088315
Median Absolute Deviation (MAD)0
Skewness5.2770775
Sum9232.5
Variance4707.6062
MonotonicityNot monotonic
2023-12-12T21:22:13.431957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 293
79.6%
150.0 5
 
1.4%
80.0 4
 
1.1%
140.0 3
 
0.8%
137.0 3
 
0.8%
122.0 3
 
0.8%
130.0 3
 
0.8%
32.0 3
 
0.8%
181.0 2
 
0.5%
175.0 2
 
0.5%
Other values (32) 47
 
12.8%
ValueCountFrequency (%)
0.0 293
79.6%
25.0 2
 
0.5%
32.0 3
 
0.8%
41.0 2
 
0.5%
43.5 1
 
0.3%
44.5 1
 
0.3%
45.0 1
 
0.3%
46.0 2
 
0.5%
47.0 1
 
0.3%
50.0 1
 
0.3%
ValueCountFrequency (%)
662.0 2
0.5%
333.0 1
0.3%
228.5 1
0.3%
208.0 1
0.3%
192.9 1
0.3%
181.0 2
0.5%
175.0 2
0.5%
165.0 1
0.3%
160.0 2
0.5%
156.8 2
0.5%

저수위
Real number (ℝ)

ZEROS 

Distinct129
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.90399
Minimum0
Maximum672.2
Zeros115
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:13.601343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96
Q3197.2
95-th percentile398.86
Maximum672.2
Range672.2
Interquartile range (IQR)197.2

Descriptive statistics

Standard deviation140.29701
Coefficient of variation (CV)1.0800053
Kurtosis1.4870898
Mean129.90399
Median Absolute Deviation (MAD)96
Skewness1.2953821
Sum47804.67
Variance19683.25
MonotonicityNot monotonic
2023-12-12T21:22:13.802614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 115
31.2%
66.5 3
 
0.8%
99.43 3
 
0.8%
199.5 3
 
0.8%
142.8 3
 
0.8%
303.4 3
 
0.8%
517.4 3
 
0.8%
105.5 3
 
0.8%
224.2 3
 
0.8%
149.2 3
 
0.8%
Other values (119) 226
61.4%
ValueCountFrequency (%)
0.0 115
31.2%
17.3 1
 
0.3%
24.4 1
 
0.3%
25.6 1
 
0.3%
28.3 1
 
0.3%
29.0 3
 
0.8%
31.84 2
 
0.5%
38.38 2
 
0.5%
43.5 1
 
0.3%
45.5 2
 
0.5%
ValueCountFrequency (%)
672.2 2
0.5%
618.0 2
0.5%
586.7 1
 
0.3%
520.0 1
 
0.3%
517.4 3
0.8%
494.0 1
 
0.3%
434.5 3
0.8%
422.0 1
 
0.3%
419.0 1
 
0.3%
406.0 2
0.5%

일류부표고
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.626087
Minimum0
Maximum240
Zeros168
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:14.041816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q358.25
95-th percentile101
Maximum240
Range240
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation36.883896
Coefficient of variation (CV)1.0968834
Kurtosis1.6140351
Mean33.626087
Median Absolute Deviation (MAD)30
Skewness0.98966454
Sum12374.4
Variance1360.4218
MonotonicityNot monotonic
2023-12-12T21:22:14.252639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 168
45.7%
57.0 9
 
2.4%
52.0 9
 
2.4%
75.0 8
 
2.2%
60.0 8
 
2.2%
55.0 7
 
1.9%
58.0 7
 
1.9%
65.0 7
 
1.9%
40.0 6
 
1.6%
48.0 6
 
1.6%
Other values (54) 133
36.1%
ValueCountFrequency (%)
0.0 168
45.7%
10.0 1
 
0.3%
15.0 1
 
0.3%
22.8 1
 
0.3%
23.3 4
 
1.1%
24.0 1
 
0.3%
27.3 1
 
0.3%
27.5 1
 
0.3%
27.6 2
 
0.5%
28.0 1
 
0.3%
ValueCountFrequency (%)
240.0 1
 
0.3%
125.0 1
 
0.3%
121.0 2
 
0.5%
120.0 3
0.8%
115.0 3
0.8%
110.0 6
1.6%
103.0 2
 
0.5%
101.0 2
 
0.5%
100.0 5
1.4%
97.0 1
 
0.3%

일류부길이
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5252717
Minimum0
Maximum666.7
Zeros355
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:14.430680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum666.7
Range666.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.401881
Coefficient of variation (CV)8.0306051
Kurtosis137.3342
Mean6.5252717
Median Absolute Deviation (MAD)0
Skewness11.261955
Sum2401.3
Variance2745.9571
MonotonicityNot monotonic
2023-12-12T21:22:14.638888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 355
96.5%
30.0 3
 
0.8%
151.0 3
 
0.8%
138.0 3
 
0.8%
666.7 2
 
0.5%
49.4 1
 
0.3%
61.5 1
 
0.3%
ValueCountFrequency (%)
0.0 355
96.5%
30.0 3
 
0.8%
49.4 1
 
0.3%
61.5 1
 
0.3%
138.0 3
 
0.8%
151.0 3
 
0.8%
666.7 2
 
0.5%
ValueCountFrequency (%)
666.7 2
 
0.5%
151.0 3
 
0.8%
138.0 3
 
0.8%
61.5 1
 
0.3%
49.4 1
 
0.3%
30.0 3
 
0.8%
0.0 355
96.5%

보조일류부표고
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
368 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 368
100.0%

Length

2023-12-12T21:22:14.837079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:22:14.965545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 368
100.0%

보조일류부길이
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.031848
Minimum0
Maximum880
Zeros321
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:15.110722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile122
Maximum880
Range880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation102.02512
Coefficient of variation (CV)4.630802
Kurtosis47.954121
Mean22.031848
Median Absolute Deviation (MAD)0
Skewness6.5455909
Sum8107.72
Variance10409.126
MonotonicityNot monotonic
2023-12-12T21:22:15.262481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 321
87.2%
106.0 3
 
0.8%
119.0 3
 
0.8%
122.0 3
 
0.8%
161.0 3
 
0.8%
1.23 3
 
0.8%
828.0 2
 
0.5%
12.0 2
 
0.5%
26.0 2
 
0.5%
6.4 2
 
0.5%
Other values (17) 24
 
6.5%
ValueCountFrequency (%)
0.0 321
87.2%
0.51 1
 
0.3%
0.53 1
 
0.3%
0.71 1
 
0.3%
1.23 3
 
0.8%
1.8 1
 
0.3%
1.89 1
 
0.3%
2.01 1
 
0.3%
2.74 2
 
0.5%
3.2 1
 
0.3%
ValueCountFrequency (%)
880.0 2
0.5%
828.0 2
0.5%
373.0 2
0.5%
340.0 2
0.5%
264.0 1
 
0.3%
251.0 2
0.5%
228.0 2
0.5%
185.0 2
0.5%
161.0 3
0.8%
122.0 3
0.8%

무피해방류량
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.24457
Minimum0
Maximum11000
Zeros321
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:15.421984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile500
Maximum11000
Range11000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1333.0703
Coefficient of variation (CV)5.2848325
Kurtosis44.57249
Mean252.24457
Median Absolute Deviation (MAD)0
Skewness6.5859269
Sum92826
Variance1777076.4
MonotonicityNot monotonic
2023-12-12T21:22:15.576583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 321
87.2%
300 10
 
2.7%
100 6
 
1.6%
500 6
 
1.6%
700 4
 
1.1%
200 2
 
0.5%
8000 2
 
0.5%
10000 2
 
0.5%
6000 2
 
0.5%
2000 2
 
0.5%
Other values (9) 11
 
3.0%
ValueCountFrequency (%)
0 321
87.2%
10 1
 
0.3%
30 1
 
0.3%
100 6
 
1.6%
110 1
 
0.3%
150 1
 
0.3%
200 2
 
0.5%
300 10
 
2.7%
326 1
 
0.3%
500 6
 
1.6%
ValueCountFrequency (%)
11000 2
 
0.5%
10000 2
 
0.5%
8000 2
 
0.5%
6000 2
 
0.5%
3000 2
 
0.5%
2000 2
 
0.5%
1400 1
 
0.3%
1000 1
 
0.3%
700 4
1.1%
500 6
1.6%

최대가능방류량
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1117.0386
Minimum0
Maximum26000
Zeros316
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T21:22:15.724849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8222.35
Maximum26000
Range26000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3676.3403
Coefficient of variation (CV)3.2911489
Kurtosis20.084313
Mean1117.0386
Median Absolute Deviation (MAD)0
Skewness4.2615404
Sum411070.2
Variance13515478
MonotonicityNot monotonic
2023-12-12T21:22:15.900858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 316
85.9%
1782.0 3
 
0.8%
7950.0 3
 
0.8%
5828.0 3
 
0.8%
6480.0 3
 
0.8%
9800.0 3
 
0.8%
12600.0 2
 
0.5%
5740.0 2
 
0.5%
8500.0 2
 
0.5%
16000.0 2
 
0.5%
Other values (20) 29
 
7.9%
ValueCountFrequency (%)
0.0 316
85.9%
838.4 1
 
0.3%
852.8 1
 
0.3%
1337.0 1
 
0.3%
1782.0 3
 
0.8%
1970.0 1
 
0.3%
1973.0 1
 
0.3%
2173.0 1
 
0.3%
2294.0 2
 
0.5%
2389.0 1
 
0.3%
ValueCountFrequency (%)
26000.0 2
0.5%
20736.0 2
0.5%
20000.0 2
0.5%
16000.0 2
0.5%
12763.0 1
 
0.3%
12600.0 2
0.5%
11680.0 1
 
0.3%
9800.0 3
0.8%
8500.0 2
0.5%
8369.0 2
0.5%

Sample

예보유역명하도명적용시작일자적용종료일자관측소유형관측소코드시설물명칭관리기관명총저수량유효저수량저수용량홍수조절용량계획홍수위상시만수위홍수기제한수위저수위일류부표고일류부길이보조일류부표고보조일류부길이무피해방류량최대가능방류량
0한강10210702000-01-012017-05-10수위관측소10219204월5일댐35.035.00.00.00.00.00.00.00.00.00.000.000.0
1한강10210702017-05-119999-12-31수위관측소10219204월5일댐35.035.00.00.00.00.00.00.00.00.00.000.000.0
2한강1007110강천보(상류)2000-01-012017-05-10수위관측소1007810강천보0.00.00.00.00.00.00.00.00.00.00.000.000.0
3한강1007110강천보(상류)2017-05-119999-12-31수위관측소1007801강천보0.00.00.00.00.00.00.00.00.00.00.000.000.0
4한강10140702000-01-012017-05-10수위관측소4272010020개운저수지0.7970.7470.00.0238.6238.6238.60.0237.339.00.000.000.0
5한강10140702017-05-119999-12-31수위관측소4272010020개운저수지0.7970.7470.00.0238.6238.6238.60.0237.339.00.000.000.0
6한강1001010광동댐2000-01-012017-05-10수위관측소1001210광동댐11.08.02.280.0675.3672.0672.0662.0672.20.0666.700.000.0
7한강1001010광동댐2017-05-119999-12-31댐관측소1001210광동댐11.08.02.280.0675.3672.0672.0662.0672.20.0666.700.000.0
8한강1004060괴산댐2000-01-012017-05-10댐관측소1004310괴산댐15.35.79.63.0136.92135.65134.0131.650.00.00.0012.003080.0
9한강1004060괴산댐2017-05-119999-12-31댐관측소1004310괴산댐12.09.77.22.3136.92135.65134.0128.650.00.00.0012.003080.0
예보유역명하도명적용시작일자적용종료일자관측소유형관측소코드시설물명칭관리기관명총저수량유효저수량저수용량홍수조절용량계획홍수위상시만수위홍수기제한수위저수위일류부표고일류부길이보조일류부표고보조일류부길이무피해방류량최대가능방류량
358영산강5002010장성군(장성댐)2000-01-012012-12-31수위관측소5002410장성댐90.3385.570.06.786.586.585.564.079.527.60.000.000.0
359영산강5002010장성군(장성댐)2013-01-019999-12-31수위관측소5002410장성댐90.3385.570.06.786.586.585.564.079.527.60.000.000.0
360영산강50030102000-01-012012-12-31수위관측소4679010051장치저수지1.7511.7170.00.0112.8112.8112.80.0110.9870.00.000.000.0
361영산강50030102013-01-019999-12-31수위관측소4679010051장치저수지1.7511.7170.00.0112.8112.8112.80.0110.9870.00.000.000.0
362영산강5004140죽산보2000-01-012012-12-31수위관측소5004820죽산보0.00.00.00.00.00.00.00.00.00.00.000.000.0
363영산강5004140죽산보2013-01-019999-12-31수위관측소5004820죽산보0.00.00.00.00.00.00.00.00.00.00.000.000.0
364영산강50021002000-01-012012-12-31수위관측소5002201평림댐8.478.050.490.0111.33109.7109.791.6109.70.00.000.000.0
365영산강50021002013-01-019999-12-31수위관측소5002201평림댐8.478.050.490.0111.33109.7109.791.6109.70.00.000.000.0
366영산강50030152013-01-019999-12-31저수지관측소5003701화순홍수조절지7.2585977.2585970.07.2567.667.663.1258.558.530.00.000.03260.0
367탐진강5101020장흥댐2000-01-019999-12-31댐관측소5101110장흥댐191.0171.012.08.082.882.079.055.071.00.00.003.214002389.0