Overview

Dataset statistics

Number of variables40
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 MiB
Average record size in memory365.0 B

Variable types

Categorical1
Text2
Numeric37

Dataset

Description한강홍수통제소에서 관측, 수집 중인 우량자료를 바탕으로 예측한 티센 UM 우량 자료입니다. 대권역, 표준유역 별 우량, 예측우량 데이터를 월일시분 단위로 제공합니다.
Author환경부 한강홍수통제소
URLhttps://www.data.go.kr/data/15086306/fileData.do

Alerts

대권역명 is highly imbalanced (51.8%)Imbalance
우량 has 6515 (65.1%) zerosZeros
예측우량(ymdhm3시) has 6413 (64.1%) zerosZeros
예측우량(ymdhm6시) has 6722 (67.2%) zerosZeros
예측우량(ymdhm9시) has 6164 (61.6%) zerosZeros
예측우량(ymdhm12시) has 6387 (63.9%) zerosZeros
예측우량(ymdhm15시) has 6053 (60.5%) zerosZeros
예측우량(ymdhm18시) has 6468 (64.7%) zerosZeros
예측우량(ymdhm21시) has 6233 (62.3%) zerosZeros
예측우량(ymdhm24시) has 6695 (67.0%) zerosZeros
예측우량(ymdhm27시) has 6435 (64.3%) zerosZeros
예측우량(ymdhm30시) has 6777 (67.8%) zerosZeros
예측우량(ymdhm33시) has 6507 (65.1%) zerosZeros
예측우량(ymdhm36시) has 6828 (68.3%) zerosZeros
예측우량(ymdhm39시) has 6680 (66.8%) zerosZeros
예측우량(ymdhm42시) has 7124 (71.2%) zerosZeros
예측우량(ymdhm45시) has 6857 (68.6%) zerosZeros
예측우량(ymdhm48시) has 7279 (72.8%) zerosZeros
예측우량(ymdhm51시) has 7125 (71.2%) zerosZeros
예측우량(ymdhm54시) has 7411 (74.1%) zerosZeros
예측우량(ymdhm57시) has 7102 (71.0%) zerosZeros
예측우량(ymdhm60시) has 7421 (74.2%) zerosZeros
예측우량(ymdhm63시) has 7150 (71.5%) zerosZeros
예측우량(ymdhm66시) has 7417 (74.2%) zerosZeros
예측우량(ymdhm69시) has 7073 (70.7%) zerosZeros
예측우량(ymdhm72 has 7491 (74.9%) zerosZeros
예측우량(ymdhm4시간20분 has 7243 (72.4%) zerosZeros
예측우량(ymdhm4시간20분 .1 has 7577 (75.8%) zerosZeros
예측우량(ymdhm4시간30분 has 7234 (72.3%) zerosZeros
예측우량(ymdhm4시간40분 has 7466 (74.7%) zerosZeros
예측우량(ymdhm4시간50분 has 7216 (72.2%) zerosZeros
예측우량(ymdhm5시간 has 9139 (91.4%) zerosZeros
예측우량(ymdhm5시간20분 has 9097 (91.0%) zerosZeros
예측우량(ymdhm5시간20분 .1 has 9409 (94.1%) zerosZeros
예측우량(ymdhm5시간30분 has 9181 (91.8%) zerosZeros
예측우량(ymdhm5시간40분 has 9119 (91.2%) zerosZeros
예측우량(ymdhm5시간50분 has 9136 (91.4%) zerosZeros
예측우량(ymdhm6시간 has 9400 (94.0%) zerosZeros

Reproduction

Analysis started2023-12-12 04:38:16.493811
Analysis finished2023-12-12 04:38:17.348914
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대권역명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한강
8200 
한강동해
 
653
안성천
 
627
한강서해
 
520

Length

Max length4
Median length2
Mean length2.2973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한강 8200
82.0%
한강동해 653
 
6.5%
안성천 627
 
6.3%
한강서해 520
 
5.2%

Length

2023-12-12T13:38:17.464466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:38:17.622207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강 8200
82.0%
한강동해 653
 
6.5%
안성천 627
 
6.3%
한강서해 520
 
5.2%

표준유역명
Text

Distinct286
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:18.024389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.2611
Min length2

Characters and Unicode

Total characters42611
Distinct characters155
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

Unique0 ?
Unique (%)0.0%

Sample

1st row공지천
2nd row고삼댐
3rd row방내천
4th row소양강댐
5th row괴산댐
ValueCountFrequency (%)
전천 79
 
0.8%
북천 69
 
0.7%
웅진군 50
 
0.5%
포천천하류 50
 
0.5%
사이곡천합류점 48
 
0.5%
양평수위표 48
 
0.5%
흑천합류점 47
 
0.5%
주천강상류 47
 
0.5%
덕치천합류점 47
 
0.5%
남강 46
 
0.5%
Other values (278) 9529
94.7%
2023-12-12T13:38:18.592088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 7436
 
17.5%
류 4369
 
10.3%
하 2142
 
5.0%
상 1481
 
3.5%
댐 1258
 
3.0%
강 1223
 
2.9%
수 957
 
2.2%
점 908
 
2.1%
합 862
 
2.0%
위 818
 
1.9%
Other values (145) 21157
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42551
99.9%
Space Separator 60
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 7436
 
17.5%
류 4369
 
10.3%
하 2142
 
5.0%
상 1481
 
3.5%
댐 1258
 
3.0%
강 1223
 
2.9%
수 957
 
2.2%
점 908
 
2.1%
합 862
 
2.0%
위 818
 
1.9%
Other values (144) 21097
49.6%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42551
99.9%
Common 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 7436
 
17.5%
류 4369
 
10.3%
하 2142
 
5.0%
상 1481
 
3.5%
댐 1258
 
3.0%
강 1223
 
2.9%
수 957
 
2.2%
점 908
 
2.1%
합 862
 
2.0%
위 818
 
1.9%
Other values (144) 21097
49.6%
Common
ValueCountFrequency (%)
60
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42551
99.9%
ASCII 60
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 7436
 
17.5%
류 4369
 
10.3%
하 2142
 
5.0%
상 1481
 
3.5%
댐 1258
 
3.0%
강 1223
 
2.9%
수 957
 
2.2%
점 908
 
2.1%
합 862
 
2.0%
위 818
 
1.9%
Other values (144) 21097
49.6%
ASCII
ValueCountFrequency (%)
60
100.0%

월일시분
Text

Distinct255
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:38:18.914465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters160000
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-26 21:00
2nd row2021-06-15 21:00
3rd row2021-06-06 03:00
4th row2021-07-06 09:00
5th row2021-06-07 15:00
ValueCountFrequency (%)
03:00 2626
 
13.1%
15:00 2516
 
12.6%
21:00 2446
 
12.2%
09:00 2382
 
11.9%
2021-06-17 184
 
0.9%
2021-07-16 177
 
0.9%
2021-06-09 176
 
0.9%
2021-07-27 175
 
0.9%
2021-06-05 173
 
0.9%
2021-07-29 173
 
0.9%
Other values (61) 8972
44.9%
2023-12-12T13:38:19.338920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49045
30.7%
2 26677
16.7%
- 20000
12.5%
1 19271
 
12.0%
10000
 
6.2%
: 10000
 
6.2%
7 5825
 
3.6%
6 5647
 
3.5%
3 4254
 
2.7%
5 3505
 
2.2%
Other values (3) 5776
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120000
75.0%
Dash Punctuation 20000
 
12.5%
Space Separator 10000
 
6.2%
Other Punctuation 10000
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49045
40.9%
2 26677
22.2%
1 19271
 
16.1%
7 5825
 
4.9%
6 5647
 
4.7%
3 4254
 
3.5%
5 3505
 
2.9%
9 3426
 
2.9%
8 1369
 
1.1%
4 981
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%
Space Separator
ValueCountFrequency (%)
10000
100.0%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49045
30.7%
2 26677
16.7%
- 20000
12.5%
1 19271
 
12.0%
10000
 
6.2%
: 10000
 
6.2%
7 5825
 
3.6%
6 5647
 
3.5%
3 4254
 
2.7%
5 3505
 
2.2%
Other values (3) 5776
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49045
30.7%
2 26677
16.7%
- 20000
12.5%
1 19271
 
12.0%
10000
 
6.2%
: 10000
 
6.2%
7 5825
 
3.6%
6 5647
 
3.5%
3 4254
 
2.7%
5 3505
 
2.2%
Other values (3) 5776
 
3.6%

우량
Real number (ℝ)

ZEROS 

Distinct136
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.041471
Minimum0
Maximum2.65
Zeros6515
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:19.521202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.21
Maximum2.65
Range2.65
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.14185887
Coefficient of variation (CV)3.4206763
Kurtosis69.023691
Mean0.041471
Median Absolute Deviation (MAD)0
Skewness7.2235412
Sum414.71
Variance0.020123939
MonotonicityNot monotonic
2023-12-12T13:38:19.706827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6515
65.1%
0.01 792
 
7.9%
0.02 433
 
4.3%
0.03 282
 
2.8%
0.04 243
 
2.4%
0.05 194
 
1.9%
0.06 156
 
1.6%
0.07 130
 
1.3%
0.09 102
 
1.0%
0.08 96
 
1.0%
Other values (126) 1057
 
10.6%
ValueCountFrequency (%)
0.0 6515
65.1%
0.01 792
 
7.9%
0.02 433
 
4.3%
0.03 282
 
2.8%
0.04 243
 
2.4%
0.05 194
 
1.9%
0.06 156
 
1.6%
0.07 130
 
1.3%
0.08 96
 
1.0%
0.09 102
 
1.0%
ValueCountFrequency (%)
2.65 1
< 0.1%
2.15 1
< 0.1%
2.06 1
< 0.1%
1.88 1
< 0.1%
1.82 1
< 0.1%
1.75 1
< 0.1%
1.73 1
< 0.1%
1.72 1
< 0.1%
1.68 2
< 0.1%
1.65 1
< 0.1%

예측우량(ymdhm3시)
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.034061
Minimum0
Maximum2.66
Zeros6413
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:19.872900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.16
Maximum2.66
Range2.66
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11612445
Coefficient of variation (CV)3.4093082
Kurtosis126.27864
Mean0.034061
Median Absolute Deviation (MAD)0
Skewness9.1594847
Sum340.61
Variance0.013484887
MonotonicityNot monotonic
2023-12-12T13:38:20.445402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6413
64.1%
0.01 855
 
8.6%
0.02 457
 
4.6%
0.03 334
 
3.3%
0.04 248
 
2.5%
0.05 214
 
2.1%
0.06 162
 
1.6%
0.07 154
 
1.5%
0.08 126
 
1.3%
0.09 114
 
1.1%
Other values (103) 923
 
9.2%
ValueCountFrequency (%)
0.0 6413
64.1%
0.01 855
 
8.6%
0.02 457
 
4.6%
0.03 334
 
3.3%
0.04 248
 
2.5%
0.05 214
 
2.1%
0.06 162
 
1.6%
0.07 154
 
1.5%
0.08 126
 
1.3%
0.09 114
 
1.1%
ValueCountFrequency (%)
2.66 1
< 0.1%
2.49 1
< 0.1%
2.31 1
< 0.1%
1.98 2
< 0.1%
1.86 1
< 0.1%
1.72 1
< 0.1%
1.67 1
< 0.1%
1.66 1
< 0.1%
1.64 1
< 0.1%
1.58 1
< 0.1%

예측우량(ymdhm6시)
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.035217
Minimum0
Maximum2.36
Zeros6722
Zeros (%)67.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:20.661340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.17
Maximum2.36
Range2.36
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.12640075
Coefficient of variation (CV)3.5891971
Kurtosis83.596815
Mean0.035217
Median Absolute Deviation (MAD)0
Skewness7.802222
Sum352.17
Variance0.015977151
MonotonicityNot monotonic
2023-12-12T13:38:20.850852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6722
67.2%
0.01 849
 
8.5%
0.02 408
 
4.1%
0.03 299
 
3.0%
0.04 214
 
2.1%
0.05 170
 
1.7%
0.06 130
 
1.3%
0.07 120
 
1.2%
0.08 103
 
1.0%
0.09 85
 
0.9%
Other values (113) 900
 
9.0%
ValueCountFrequency (%)
0.0 6722
67.2%
0.01 849
 
8.5%
0.02 408
 
4.1%
0.03 299
 
3.0%
0.04 214
 
2.1%
0.05 170
 
1.7%
0.06 130
 
1.3%
0.07 120
 
1.2%
0.08 103
 
1.0%
0.09 85
 
0.9%
ValueCountFrequency (%)
2.36 1
< 0.1%
2.28 1
< 0.1%
2.04 1
< 0.1%
2.02 1
< 0.1%
1.92 1
< 0.1%
1.85 1
< 0.1%
1.68 1
< 0.1%
1.65 1
< 0.1%
1.63 2
< 0.1%
1.49 1
< 0.1%

예측우량(ymdhm9시)
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.037937
Minimum0
Maximum1.79
Zeros6164
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:20.995288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.19
Maximum1.79
Range1.79
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11899744
Coefficient of variation (CV)3.1367118
Kurtosis58.934251
Mean0.037937
Median Absolute Deviation (MAD)0
Skewness6.745566
Sum379.37
Variance0.01416039
MonotonicityNot monotonic
2023-12-12T13:38:21.158325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6164
61.6%
0.01 881
 
8.8%
0.02 513
 
5.1%
0.03 367
 
3.7%
0.04 279
 
2.8%
0.05 228
 
2.3%
0.06 184
 
1.8%
0.07 151
 
1.5%
0.08 99
 
1.0%
0.09 98
 
1.0%
Other values (102) 1036
 
10.4%
ValueCountFrequency (%)
0.0 6164
61.6%
0.01 881
 
8.8%
0.02 513
 
5.1%
0.03 367
 
3.7%
0.04 279
 
2.8%
0.05 228
 
2.3%
0.06 184
 
1.8%
0.07 151
 
1.5%
0.08 99
 
1.0%
0.09 98
 
1.0%
ValueCountFrequency (%)
1.79 1
< 0.1%
1.73 1
< 0.1%
1.58 1
< 0.1%
1.51 1
< 0.1%
1.5 1
< 0.1%
1.49 2
< 0.1%
1.48 1
< 0.1%
1.47 1
< 0.1%
1.38 1
< 0.1%
1.32 2
< 0.1%

예측우량(ymdhm12시)
Real number (ℝ)

ZEROS 

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03888
Minimum0
Maximum2.3
Zeros6387
Zeros (%)63.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:21.325540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.19
Maximum2.3
Range2.3
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.12788652
Coefficient of variation (CV)3.2892623
Kurtosis68.757059
Mean0.03888
Median Absolute Deviation (MAD)0
Skewness7.0097929
Sum388.8
Variance0.016354961
MonotonicityNot monotonic
2023-12-12T13:38:21.537765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6387
63.9%
0.01 865
 
8.6%
0.02 448
 
4.5%
0.03 341
 
3.4%
0.04 230
 
2.3%
0.05 178
 
1.8%
0.07 156
 
1.6%
0.06 155
 
1.6%
0.08 118
 
1.2%
0.09 111
 
1.1%
Other values (114) 1011
 
10.1%
ValueCountFrequency (%)
0.0 6387
63.9%
0.01 865
 
8.6%
0.02 448
 
4.5%
0.03 341
 
3.4%
0.04 230
 
2.3%
0.05 178
 
1.8%
0.06 155
 
1.6%
0.07 156
 
1.6%
0.08 118
 
1.2%
0.09 111
 
1.1%
ValueCountFrequency (%)
2.3 1
< 0.1%
2.24 1
< 0.1%
2.15 1
< 0.1%
1.99 1
< 0.1%
1.98 1
< 0.1%
1.57 1
< 0.1%
1.45 1
< 0.1%
1.4 1
< 0.1%
1.38 1
< 0.1%
1.32 1
< 0.1%

예측우량(ymdhm15시)
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.036522
Minimum0
Maximum2.55
Zeros6053
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:21.716551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.18
Maximum2.55
Range2.55
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11634611
Coefficient of variation (CV)3.1856445
Kurtosis108.15823
Mean0.036522
Median Absolute Deviation (MAD)0
Skewness8.4928354
Sum365.22
Variance0.013536417
MonotonicityNot monotonic
2023-12-12T13:38:21.932705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6053
60.5%
0.01 967
 
9.7%
0.02 525
 
5.2%
0.03 354
 
3.5%
0.04 264
 
2.6%
0.05 234
 
2.3%
0.06 188
 
1.9%
0.07 146
 
1.5%
0.08 123
 
1.2%
0.1 116
 
1.2%
Other values (105) 1030
 
10.3%
ValueCountFrequency (%)
0.0 6053
60.5%
0.01 967
 
9.7%
0.02 525
 
5.2%
0.03 354
 
3.5%
0.04 264
 
2.6%
0.05 234
 
2.3%
0.06 188
 
1.9%
0.07 146
 
1.5%
0.08 123
 
1.2%
0.09 104
 
1.0%
ValueCountFrequency (%)
2.55 1
< 0.1%
2.48 1
< 0.1%
2.25 1
< 0.1%
1.85 1
< 0.1%
1.78 1
< 0.1%
1.59 2
< 0.1%
1.51 2
< 0.1%
1.41 1
< 0.1%
1.4 1
< 0.1%
1.36 1
< 0.1%

예측우량(ymdhm18시)
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.035484
Minimum0
Maximum1.98
Zeros6468
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:22.123849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.17
Maximum1.98
Range1.98
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11566436
Coefficient of variation (CV)3.25962
Kurtosis61.22596
Mean0.035484
Median Absolute Deviation (MAD)0
Skewness6.8456203
Sum354.84
Variance0.013378244
MonotonicityNot monotonic
2023-12-12T13:38:22.321709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6468
64.7%
0.01 912
 
9.1%
0.02 451
 
4.5%
0.03 281
 
2.8%
0.04 209
 
2.1%
0.05 179
 
1.8%
0.06 172
 
1.7%
0.07 134
 
1.3%
0.08 112
 
1.1%
0.09 85
 
0.9%
Other values (100) 997
 
10.0%
ValueCountFrequency (%)
0.0 6468
64.7%
0.01 912
 
9.1%
0.02 451
 
4.5%
0.03 281
 
2.8%
0.04 209
 
2.1%
0.05 179
 
1.8%
0.06 172
 
1.7%
0.07 134
 
1.3%
0.08 112
 
1.1%
0.09 85
 
0.9%
ValueCountFrequency (%)
1.98 1
< 0.1%
1.77 1
< 0.1%
1.52 1
< 0.1%
1.51 1
< 0.1%
1.44 1
< 0.1%
1.39 1
< 0.1%
1.33 1
< 0.1%
1.32 2
< 0.1%
1.28 1
< 0.1%
1.27 1
< 0.1%

예측우량(ymdhm21시)
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.034139
Minimum0
Maximum1.77
Zeros6233
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:22.561908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.16
Maximum1.77
Range1.77
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.1104861
Coefficient of variation (CV)3.2363603
Kurtosis75.932645
Mean0.034139
Median Absolute Deviation (MAD)0
Skewness7.5862146
Sum341.39
Variance0.012207179
MonotonicityNot monotonic
2023-12-12T13:38:22.776264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6233
62.3%
0.01 967
 
9.7%
0.02 491
 
4.9%
0.03 343
 
3.4%
0.04 253
 
2.5%
0.05 203
 
2.0%
0.06 164
 
1.6%
0.07 156
 
1.6%
0.08 121
 
1.2%
0.09 111
 
1.1%
Other values (103) 958
 
9.6%
ValueCountFrequency (%)
0.0 6233
62.3%
0.01 967
 
9.7%
0.02 491
 
4.9%
0.03 343
 
3.4%
0.04 253
 
2.5%
0.05 203
 
2.0%
0.06 164
 
1.6%
0.07 156
 
1.6%
0.08 121
 
1.2%
0.09 111
 
1.1%
ValueCountFrequency (%)
1.77 1
 
< 0.1%
1.67 1
 
< 0.1%
1.62 1
 
< 0.1%
1.55 1
 
< 0.1%
1.5 1
 
< 0.1%
1.46 1
 
< 0.1%
1.45 1
 
< 0.1%
1.43 3
< 0.1%
1.39 2
< 0.1%
1.35 1
 
< 0.1%

예측우량(ymdhm24시)
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.032257
Minimum0
Maximum2
Zeros6695
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:22.977996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.17
Maximum2
Range2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.11190544
Coefficient of variation (CV)3.4691832
Kurtosis80.86614
Mean0.032257
Median Absolute Deviation (MAD)0
Skewness7.7883301
Sum322.57
Variance0.012522828
MonotonicityNot monotonic
2023-12-12T13:38:23.184155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6695
67.0%
0.01 815
 
8.2%
0.02 444
 
4.4%
0.03 302
 
3.0%
0.04 197
 
2.0%
0.05 189
 
1.9%
0.06 152
 
1.5%
0.07 125
 
1.2%
0.08 103
 
1.0%
0.09 102
 
1.0%
Other values (105) 876
 
8.8%
ValueCountFrequency (%)
0.0 6695
67.0%
0.01 815
 
8.2%
0.02 444
 
4.4%
0.03 302
 
3.0%
0.04 197
 
2.0%
0.05 189
 
1.9%
0.06 152
 
1.5%
0.07 125
 
1.2%
0.08 103
 
1.0%
0.09 102
 
1.0%
ValueCountFrequency (%)
2.0 1
< 0.1%
1.94 1
< 0.1%
1.75 1
< 0.1%
1.65 1
< 0.1%
1.64 1
< 0.1%
1.46 1
< 0.1%
1.42 1
< 0.1%
1.36 2
< 0.1%
1.34 2
< 0.1%
1.31 1
< 0.1%

예측우량(ymdhm27시)
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031782
Minimum0
Maximum2.27
Zeros6435
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:23.377724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.15
Maximum2.27
Range2.27
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11032679
Coefficient of variation (CV)3.471361
Kurtosis107.99115
Mean0.031782
Median Absolute Deviation (MAD)0
Skewness8.8147629
Sum317.82
Variance0.012172002
MonotonicityNot monotonic
2023-12-12T13:38:23.568676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6435
64.3%
0.01 888
 
8.9%
0.02 499
 
5.0%
0.03 350
 
3.5%
0.04 257
 
2.6%
0.05 191
 
1.9%
0.06 176
 
1.8%
0.07 138
 
1.4%
0.08 117
 
1.2%
0.09 97
 
1.0%
Other values (98) 852
 
8.5%
ValueCountFrequency (%)
0.0 6435
64.3%
0.01 888
 
8.9%
0.02 499
 
5.0%
0.03 350
 
3.5%
0.04 257
 
2.6%
0.05 191
 
1.9%
0.06 176
 
1.8%
0.07 138
 
1.4%
0.08 117
 
1.2%
0.09 97
 
1.0%
ValueCountFrequency (%)
2.27 1
< 0.1%
2.19 1
< 0.1%
1.81 1
< 0.1%
1.78 1
< 0.1%
1.77 1
< 0.1%
1.75 1
< 0.1%
1.5 1
< 0.1%
1.47 1
< 0.1%
1.44 2
< 0.1%
1.42 1
< 0.1%

예측우량(ymdhm30시)
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.029938
Minimum0
Maximum2.34
Zeros6777
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:23.753732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.15
Maximum2.34
Range2.34
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.10846849
Coefficient of variation (CV)3.623104
Kurtosis93.62976
Mean0.029938
Median Absolute Deviation (MAD)0
Skewness8.3373148
Sum299.38
Variance0.011765413
MonotonicityNot monotonic
2023-12-12T13:38:23.915287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6777
67.8%
0.01 890
 
8.9%
0.02 414
 
4.1%
0.03 258
 
2.6%
0.04 231
 
2.3%
0.05 157
 
1.6%
0.07 128
 
1.3%
0.06 119
 
1.2%
0.08 116
 
1.2%
0.09 87
 
0.9%
Other values (105) 823
 
8.2%
ValueCountFrequency (%)
0.0 6777
67.8%
0.01 890
 
8.9%
0.02 414
 
4.1%
0.03 258
 
2.6%
0.04 231
 
2.3%
0.05 157
 
1.6%
0.06 119
 
1.2%
0.07 128
 
1.3%
0.08 116
 
1.2%
0.09 87
 
0.9%
ValueCountFrequency (%)
2.34 1
< 0.1%
1.81 1
< 0.1%
1.73 1
< 0.1%
1.6 1
< 0.1%
1.51 1
< 0.1%
1.49 1
< 0.1%
1.39 1
< 0.1%
1.33 1
< 0.1%
1.32 1
< 0.1%
1.29 1
< 0.1%

예측우량(ymdhm33시)
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030624
Minimum0
Maximum3.49
Zeros6507
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:24.083047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.14
Maximum3.49
Range3.49
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.11941171
Coefficient of variation (CV)3.8992852
Kurtosis172.84093
Mean0.030624
Median Absolute Deviation (MAD)0
Skewness10.763262
Sum306.24
Variance0.014259157
MonotonicityNot monotonic
2023-12-12T13:38:24.301524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6507
65.1%
0.01 925
 
9.2%
0.02 541
 
5.4%
0.03 340
 
3.4%
0.04 272
 
2.7%
0.05 191
 
1.9%
0.06 128
 
1.3%
0.07 114
 
1.1%
0.09 102
 
1.0%
0.08 96
 
1.0%
Other values (103) 784
 
7.8%
ValueCountFrequency (%)
0.0 6507
65.1%
0.01 925
 
9.2%
0.02 541
 
5.4%
0.03 340
 
3.4%
0.04 272
 
2.7%
0.05 191
 
1.9%
0.06 128
 
1.3%
0.07 114
 
1.1%
0.08 96
 
1.0%
0.09 102
 
1.0%
ValueCountFrequency (%)
3.49 1
< 0.1%
2.61 1
< 0.1%
2.1 1
< 0.1%
1.91 1
< 0.1%
1.88 1
< 0.1%
1.81 1
< 0.1%
1.77 1
< 0.1%
1.73 2
< 0.1%
1.64 1
< 0.1%
1.62 1
< 0.1%

예측우량(ymdhm36시)
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028699
Minimum0
Maximum1.89
Zeros6828
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:24.468746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.16
Maximum1.89
Range1.89
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.098436814
Coefficient of variation (CV)3.4299737
Kurtosis80.287196
Mean0.028699
Median Absolute Deviation (MAD)0
Skewness7.6152336
Sum286.99
Variance0.0096898064
MonotonicityNot monotonic
2023-12-12T13:38:24.642304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6828
68.3%
0.01 863
 
8.6%
0.02 435
 
4.3%
0.03 280
 
2.8%
0.04 204
 
2.0%
0.05 160
 
1.6%
0.06 125
 
1.2%
0.07 111
 
1.1%
0.08 96
 
1.0%
0.09 86
 
0.9%
Other values (91) 812
 
8.1%
ValueCountFrequency (%)
0.0 6828
68.3%
0.01 863
 
8.6%
0.02 435
 
4.3%
0.03 280
 
2.8%
0.04 204
 
2.0%
0.05 160
 
1.6%
0.06 125
 
1.2%
0.07 111
 
1.1%
0.08 96
 
1.0%
0.09 86
 
0.9%
ValueCountFrequency (%)
1.89 1
< 0.1%
1.58 1
< 0.1%
1.48 1
< 0.1%
1.47 1
< 0.1%
1.42 1
< 0.1%
1.39 1
< 0.1%
1.35 1
< 0.1%
1.34 1
< 0.1%
1.3 1
< 0.1%
1.27 2
< 0.1%

예측우량(ymdhm39시)
Real number (ℝ)

ZEROS 

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028573
Minimum0
Maximum2.53
Zeros6680
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:24.847455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.12
Maximum2.53
Range2.53
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.1188352
Coefficient of variation (CV)4.1590034
Kurtosis138.84397
Mean0.028573
Median Absolute Deviation (MAD)0
Skewness10.389209
Sum285.73
Variance0.014121806
MonotonicityNot monotonic
2023-12-12T13:38:25.358681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6680
66.8%
0.01 861
 
8.6%
0.02 484
 
4.8%
0.03 342
 
3.4%
0.04 232
 
2.3%
0.05 195
 
1.9%
0.06 167
 
1.7%
0.07 130
 
1.3%
0.08 125
 
1.2%
0.09 117
 
1.2%
Other values (105) 667
 
6.7%
ValueCountFrequency (%)
0.0 6680
66.8%
0.01 861
 
8.6%
0.02 484
 
4.8%
0.03 342
 
3.4%
0.04 232
 
2.3%
0.05 195
 
1.9%
0.06 167
 
1.7%
0.07 130
 
1.3%
0.08 125
 
1.2%
0.09 117
 
1.2%
ValueCountFrequency (%)
2.53 1
< 0.1%
2.47 1
< 0.1%
2.39 1
< 0.1%
1.88 1
< 0.1%
1.87 1
< 0.1%
1.82 1
< 0.1%
1.8 1
< 0.1%
1.71 1
< 0.1%
1.7 1
< 0.1%
1.69 1
< 0.1%

예측우량(ymdhm42시)
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028095
Minimum0
Maximum1.9
Zeros7124
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:25.493223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.13
Maximum1.9
Range1.9
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.11510128
Coefficient of variation (CV)4.0968601
Kurtosis88.81505
Mean0.028095
Median Absolute Deviation (MAD)0
Skewness8.4503903
Sum280.95
Variance0.013248306
MonotonicityNot monotonic
2023-12-12T13:38:25.644905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7124
71.2%
0.01 798
 
8.0%
0.02 413
 
4.1%
0.03 260
 
2.6%
0.04 222
 
2.2%
0.06 139
 
1.4%
0.05 134
 
1.3%
0.08 85
 
0.9%
0.07 80
 
0.8%
0.09 68
 
0.7%
Other values (109) 677
 
6.8%
ValueCountFrequency (%)
0.0 7124
71.2%
0.01 798
 
8.0%
0.02 413
 
4.1%
0.03 260
 
2.6%
0.04 222
 
2.2%
0.05 134
 
1.3%
0.06 139
 
1.4%
0.07 80
 
0.8%
0.08 85
 
0.9%
0.09 68
 
0.7%
ValueCountFrequency (%)
1.9 1
< 0.1%
1.84 1
< 0.1%
1.78 1
< 0.1%
1.64 2
< 0.1%
1.58 2
< 0.1%
1.57 1
< 0.1%
1.55 1
< 0.1%
1.52 1
< 0.1%
1.5 1
< 0.1%
1.47 1
< 0.1%

예측우량(ymdhm45시)
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027172
Minimum0
Maximum3.14
Zeros6857
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:25.814550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum3.14
Range3.14
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.12615742
Coefficient of variation (CV)4.6429198
Kurtosis188.65757
Mean0.027172
Median Absolute Deviation (MAD)0
Skewness12.186167
Sum271.72
Variance0.015915694
MonotonicityNot monotonic
2023-12-12T13:38:25.977411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6857
68.6%
0.01 855
 
8.6%
0.02 456
 
4.6%
0.03 324
 
3.2%
0.04 229
 
2.3%
0.05 223
 
2.2%
0.06 135
 
1.4%
0.07 126
 
1.3%
0.08 98
 
1.0%
0.09 90
 
0.9%
Other values (96) 607
 
6.1%
ValueCountFrequency (%)
0.0 6857
68.6%
0.01 855
 
8.6%
0.02 456
 
4.6%
0.03 324
 
3.2%
0.04 229
 
2.3%
0.05 223
 
2.2%
0.06 135
 
1.4%
0.07 126
 
1.3%
0.08 98
 
1.0%
0.09 90
 
0.9%
ValueCountFrequency (%)
3.14 1
< 0.1%
2.8 1
< 0.1%
2.74 1
< 0.1%
2.05 1
< 0.1%
2.03 1
< 0.1%
1.99 1
< 0.1%
1.96 2
< 0.1%
1.94 2
< 0.1%
1.93 1
< 0.1%
1.89 1
< 0.1%

예측우량(ymdhm48시)
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02747
Minimum0
Maximum3.41
Zeros7279
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:26.142750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.12
Maximum3.41
Range3.41
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.1313117
Coefficient of variation (CV)4.7801858
Kurtosis172.31206
Mean0.02747
Median Absolute Deviation (MAD)0
Skewness11.488023
Sum274.7
Variance0.017242763
MonotonicityNot monotonic
2023-12-12T13:38:26.292733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7279
72.8%
0.01 791
 
7.9%
0.02 336
 
3.4%
0.03 237
 
2.4%
0.04 172
 
1.7%
0.05 138
 
1.4%
0.06 129
 
1.3%
0.07 112
 
1.1%
0.08 75
 
0.8%
0.09 75
 
0.8%
Other values (106) 656
 
6.6%
ValueCountFrequency (%)
0.0 7279
72.8%
0.01 791
 
7.9%
0.02 336
 
3.4%
0.03 237
 
2.4%
0.04 172
 
1.7%
0.05 138
 
1.4%
0.06 129
 
1.3%
0.07 112
 
1.1%
0.08 75
 
0.8%
0.09 75
 
0.8%
ValueCountFrequency (%)
3.41 1
< 0.1%
3.04 1
< 0.1%
2.15 1
< 0.1%
2.12 1
< 0.1%
2.09 1
< 0.1%
2.08 1
< 0.1%
1.98 1
< 0.1%
1.91 1
< 0.1%
1.9 1
< 0.1%
1.81 1
< 0.1%

예측우량(ymdhm51시)
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02633
Minimum0
Maximum1.82
Zeros7125
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:26.437838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.12
Maximum1.82
Range1.82
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.10829665
Coefficient of variation (CV)4.1130516
Kurtosis86.070359
Mean0.02633
Median Absolute Deviation (MAD)0
Skewness8.4863262
Sum263.3
Variance0.011728164
MonotonicityNot monotonic
2023-12-12T13:38:26.580171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7125
71.2%
0.01 744
 
7.4%
0.02 391
 
3.9%
0.03 311
 
3.1%
0.04 241
 
2.4%
0.05 137
 
1.4%
0.06 131
 
1.3%
0.07 117
 
1.2%
0.08 92
 
0.9%
0.1 70
 
0.7%
Other values (102) 641
 
6.4%
ValueCountFrequency (%)
0.0 7125
71.2%
0.01 744
 
7.4%
0.02 391
 
3.9%
0.03 311
 
3.1%
0.04 241
 
2.4%
0.05 137
 
1.4%
0.06 131
 
1.3%
0.07 117
 
1.2%
0.08 92
 
0.9%
0.09 68
 
0.7%
ValueCountFrequency (%)
1.82 1
< 0.1%
1.79 1
< 0.1%
1.45 1
< 0.1%
1.39 1
< 0.1%
1.38 1
< 0.1%
1.36 1
< 0.1%
1.35 1
< 0.1%
1.34 1
< 0.1%
1.32 1
< 0.1%
1.31 1
< 0.1%

예측우량(ymdhm54시)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023339
Minimum0
Maximum1.83
Zeros7411
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:26.734421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.12
Maximum1.83
Range1.83
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.0968696
Coefficient of variation (CV)4.1505463
Kurtosis94.429466
Mean0.023339
Median Absolute Deviation (MAD)0
Skewness8.6577655
Sum233.39
Variance0.0093837195
MonotonicityNot monotonic
2023-12-12T13:38:26.880614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7411
74.1%
0.01 772
 
7.7%
0.02 365
 
3.6%
0.03 217
 
2.2%
0.04 155
 
1.6%
0.05 119
 
1.2%
0.06 113
 
1.1%
0.07 103
 
1.0%
0.08 66
 
0.7%
0.1 59
 
0.6%
Other values (87) 620
 
6.2%
ValueCountFrequency (%)
0.0 7411
74.1%
0.01 772
 
7.7%
0.02 365
 
3.6%
0.03 217
 
2.2%
0.04 155
 
1.6%
0.05 119
 
1.2%
0.06 113
 
1.1%
0.07 103
 
1.0%
0.08 66
 
0.7%
0.09 59
 
0.6%
ValueCountFrequency (%)
1.83 1
< 0.1%
1.68 1
< 0.1%
1.63 1
< 0.1%
1.37 1
< 0.1%
1.25 2
< 0.1%
1.21 1
< 0.1%
1.19 1
< 0.1%
1.18 1
< 0.1%
1.17 1
< 0.1%
1.16 2
< 0.1%

예측우량(ymdhm57시)
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022736
Minimum0
Maximum3.4
Zeros7102
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:27.060483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum3.4
Range3.4
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.09322834
Coefficient of variation (CV)4.1004724
Kurtosis257.16015
Mean0.022736
Median Absolute Deviation (MAD)0
Skewness12.015677
Sum227.36
Variance0.0086915235
MonotonicityNot monotonic
2023-12-12T13:38:27.225113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7102
71.0%
0.01 873
 
8.7%
0.02 414
 
4.1%
0.03 261
 
2.6%
0.04 199
 
2.0%
0.05 158
 
1.6%
0.06 142
 
1.4%
0.07 98
 
1.0%
0.08 92
 
0.9%
0.09 83
 
0.8%
Other values (86) 578
 
5.8%
ValueCountFrequency (%)
0.0 7102
71.0%
0.01 873
 
8.7%
0.02 414
 
4.1%
0.03 261
 
2.6%
0.04 199
 
2.0%
0.05 158
 
1.6%
0.06 142
 
1.4%
0.07 98
 
1.0%
0.08 92
 
0.9%
0.09 83
 
0.8%
ValueCountFrequency (%)
3.4 1
< 0.1%
2.22 1
< 0.1%
1.6 1
< 0.1%
1.16 1
< 0.1%
1.13 1
< 0.1%
1.11 1
< 0.1%
1.1 1
< 0.1%
1.09 1
< 0.1%
1.07 1
< 0.1%
1.06 1
< 0.1%

예측우량(ymdhm60시)
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023048
Minimum0
Maximum2.1
Zeros7421
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:27.425497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.12
Maximum2.1
Range2.1
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.099832291
Coefficient of variation (CV)4.3314948
Kurtosis121.20057
Mean0.023048
Median Absolute Deviation (MAD)0
Skewness9.8580862
Sum230.48
Variance0.0099664863
MonotonicityNot monotonic
2023-12-12T13:38:27.601486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7421
74.2%
0.01 745
 
7.4%
0.02 319
 
3.2%
0.03 234
 
2.3%
0.04 150
 
1.5%
0.05 145
 
1.5%
0.06 109
 
1.1%
0.07 84
 
0.8%
0.09 81
 
0.8%
0.11 72
 
0.7%
Other values (90) 640
 
6.4%
ValueCountFrequency (%)
0.0 7421
74.2%
0.01 745
 
7.4%
0.02 319
 
3.2%
0.03 234
 
2.3%
0.04 150
 
1.5%
0.05 145
 
1.5%
0.06 109
 
1.1%
0.07 84
 
0.8%
0.08 70
 
0.7%
0.09 81
 
0.8%
ValueCountFrequency (%)
2.1 1
< 0.1%
1.67 1
< 0.1%
1.64 1
< 0.1%
1.52 1
< 0.1%
1.51 1
< 0.1%
1.49 1
< 0.1%
1.4 1
< 0.1%
1.39 1
< 0.1%
1.38 1
< 0.1%
1.36 1
< 0.1%

예측우량(ymdhm63시)
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025695
Minimum0
Maximum2.01
Zeros7150
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:27.779935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum2.01
Range2.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.11030609
Coefficient of variation (CV)4.292901
Kurtosis97.732384
Mean0.025695
Median Absolute Deviation (MAD)0
Skewness8.9832507
Sum256.95
Variance0.012167434
MonotonicityNot monotonic
2023-12-12T13:38:27.977874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7150
71.5%
0.01 816
 
8.2%
0.02 372
 
3.7%
0.03 273
 
2.7%
0.04 201
 
2.0%
0.05 161
 
1.6%
0.06 146
 
1.5%
0.07 118
 
1.2%
0.08 100
 
1.0%
0.09 68
 
0.7%
Other values (104) 595
 
5.9%
ValueCountFrequency (%)
0.0 7150
71.5%
0.01 816
 
8.2%
0.02 372
 
3.7%
0.03 273
 
2.7%
0.04 201
 
2.0%
0.05 161
 
1.6%
0.06 146
 
1.5%
0.07 118
 
1.2%
0.08 100
 
1.0%
0.09 68
 
0.7%
ValueCountFrequency (%)
2.01 1
< 0.1%
1.77 1
< 0.1%
1.74 1
< 0.1%
1.73 1
< 0.1%
1.66 1
< 0.1%
1.59 1
< 0.1%
1.54 1
< 0.1%
1.53 1
< 0.1%
1.39 1
< 0.1%
1.36 1
< 0.1%

예측우량(ymdhm66시)
Real number (ℝ)

ZEROS 

Distinct106
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023247
Minimum0
Maximum3.59
Zeros7417
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:28.156403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum3.59
Range3.59
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.10446175
Coefficient of variation (CV)4.4935585
Kurtosis245.16924
Mean0.023247
Median Absolute Deviation (MAD)0
Skewness12.168022
Sum232.47
Variance0.010912258
MonotonicityNot monotonic
2023-12-12T13:38:28.329848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7417
74.2%
0.01 799
 
8.0%
0.02 347
 
3.5%
0.03 245
 
2.5%
0.04 145
 
1.5%
0.05 133
 
1.3%
0.06 110
 
1.1%
0.07 88
 
0.9%
0.08 64
 
0.6%
0.09 64
 
0.6%
Other values (96) 588
 
5.9%
ValueCountFrequency (%)
0.0 7417
74.2%
0.01 799
 
8.0%
0.02 347
 
3.5%
0.03 245
 
2.5%
0.04 145
 
1.5%
0.05 133
 
1.3%
0.06 110
 
1.1%
0.07 88
 
0.9%
0.08 64
 
0.6%
0.09 64
 
0.6%
ValueCountFrequency (%)
3.59 1
< 0.1%
2.7 1
< 0.1%
1.85 1
< 0.1%
1.83 1
< 0.1%
1.35 2
< 0.1%
1.34 1
< 0.1%
1.32 2
< 0.1%
1.26 1
< 0.1%
1.24 1
< 0.1%
1.23 1
< 0.1%

예측우량(ymdhm69시)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023599
Minimum0
Maximum1.74
Zeros7073
Zeros (%)70.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:28.496885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum1.74
Range1.74
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.090239634
Coefficient of variation (CV)3.8238753
Kurtosis92.777574
Mean0.023599
Median Absolute Deviation (MAD)0
Skewness8.5202931
Sum235.99
Variance0.0081431915
MonotonicityNot monotonic
2023-12-12T13:38:28.682257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7073
70.7%
0.01 819
 
8.2%
0.02 414
 
4.1%
0.03 282
 
2.8%
0.04 191
 
1.9%
0.06 149
 
1.5%
0.05 148
 
1.5%
0.07 112
 
1.1%
0.08 112
 
1.1%
0.09 84
 
0.8%
Other values (94) 616
 
6.2%
ValueCountFrequency (%)
0.0 7073
70.7%
0.01 819
 
8.2%
0.02 414
 
4.1%
0.03 282
 
2.8%
0.04 191
 
1.9%
0.05 148
 
1.5%
0.06 149
 
1.5%
0.07 112
 
1.1%
0.08 112
 
1.1%
0.09 84
 
0.8%
ValueCountFrequency (%)
1.74 1
< 0.1%
1.4 1
< 0.1%
1.37 1
< 0.1%
1.36 1
< 0.1%
1.34 1
< 0.1%
1.24 1
< 0.1%
1.22 1
< 0.1%
1.18 1
< 0.1%
1.16 1
< 0.1%
1.15 1
< 0.1%

예측우량(ymdhm72
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021204
Minimum0
Maximum2.32
Zeros7491
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:28.876633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.11
Maximum2.32
Range2.32
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.087918504
Coefficient of variation (CV)4.1463169
Kurtosis137.99198
Mean0.021204
Median Absolute Deviation (MAD)0
Skewness9.8334045
Sum212.04
Variance0.0077296634
MonotonicityNot monotonic
2023-12-12T13:38:29.040725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7491
74.9%
0.01 751
 
7.5%
0.02 314
 
3.1%
0.03 226
 
2.3%
0.04 171
 
1.7%
0.05 128
 
1.3%
0.06 100
 
1.0%
0.08 83
 
0.8%
0.07 78
 
0.8%
0.09 69
 
0.7%
Other values (78) 589
 
5.9%
ValueCountFrequency (%)
0.0 7491
74.9%
0.01 751
 
7.5%
0.02 314
 
3.1%
0.03 226
 
2.3%
0.04 171
 
1.7%
0.05 128
 
1.3%
0.06 100
 
1.0%
0.07 78
 
0.8%
0.08 83
 
0.8%
0.09 69
 
0.7%
ValueCountFrequency (%)
2.32 1
 
< 0.1%
1.68 1
 
< 0.1%
1.58 1
 
< 0.1%
1.43 2
< 0.1%
1.29 1
 
< 0.1%
1.28 1
 
< 0.1%
1.11 1
 
< 0.1%
1.07 3
< 0.1%
1.04 1
 
< 0.1%
1.02 1
 
< 0.1%

예측우량(ymdhm4시간20분
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025197
Minimum0
Maximum2.85
Zeros7243
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:29.194926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.13
Maximum2.85
Range2.85
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.097219372
Coefficient of variation (CV)3.8583709
Kurtosis173.43473
Mean0.025197
Median Absolute Deviation (MAD)0
Skewness9.920724
Sum251.97
Variance0.0094516064
MonotonicityNot monotonic
2023-12-12T13:38:29.368886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7243
72.4%
0.01 762
 
7.6%
0.02 344
 
3.4%
0.03 269
 
2.7%
0.04 216
 
2.2%
0.05 156
 
1.6%
0.06 118
 
1.2%
0.07 103
 
1.0%
0.08 69
 
0.7%
0.1 61
 
0.6%
Other values (84) 659
 
6.6%
ValueCountFrequency (%)
0.0 7243
72.4%
0.01 762
 
7.6%
0.02 344
 
3.4%
0.03 269
 
2.7%
0.04 216
 
2.2%
0.05 156
 
1.6%
0.06 118
 
1.2%
0.07 103
 
1.0%
0.08 69
 
0.7%
0.09 60
 
0.6%
ValueCountFrequency (%)
2.85 1
< 0.1%
2.56 1
< 0.1%
2.16 1
< 0.1%
1.39 1
< 0.1%
1.17 1
< 0.1%
1.05 1
< 0.1%
1.02 1
< 0.1%
1.0 1
< 0.1%
0.98 1
< 0.1%
0.97 2
< 0.1%

예측우량(ymdhm4시간20분 .1
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02958
Minimum0
Maximum5.12
Zeros7577
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:29.531950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.14
Maximum5.12
Range5.12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14890917
Coefficient of variation (CV)5.0341166
Kurtosis414.98748
Mean0.02958
Median Absolute Deviation (MAD)0
Skewness16.20679
Sum295.8
Variance0.022173941
MonotonicityNot monotonic
2023-12-12T13:38:29.737542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7577
75.8%
0.01 676
 
6.8%
0.02 312
 
3.1%
0.03 204
 
2.0%
0.04 149
 
1.5%
0.05 105
 
1.1%
0.06 97
 
1.0%
0.08 65
 
0.7%
0.07 65
 
0.7%
0.11 57
 
0.6%
Other values (104) 693
 
6.9%
ValueCountFrequency (%)
0.0 7577
75.8%
0.01 676
 
6.8%
0.02 312
 
3.1%
0.03 204
 
2.0%
0.04 149
 
1.5%
0.05 105
 
1.1%
0.06 97
 
1.0%
0.07 65
 
0.7%
0.08 65
 
0.7%
0.09 48
 
0.5%
ValueCountFrequency (%)
5.12 1
< 0.1%
4.93 1
< 0.1%
4.42 1
< 0.1%
3.3 1
< 0.1%
3.14 1
< 0.1%
3.04 1
< 0.1%
2.44 1
< 0.1%
2.36 1
< 0.1%
1.95 1
< 0.1%
1.59 1
< 0.1%

예측우량(ymdhm4시간30분
Real number (ℝ)

ZEROS 

Distinct118
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027419
Minimum0
Maximum2.54
Zeros7234
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:29.926517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.13
Maximum2.54
Range2.54
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.11567008
Coefficient of variation (CV)4.2186103
Kurtosis119.55141
Mean0.027419
Median Absolute Deviation (MAD)0
Skewness9.39046
Sum274.19
Variance0.013379566
MonotonicityNot monotonic
2023-12-12T13:38:30.472868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7234
72.3%
0.01 751
 
7.5%
0.02 386
 
3.9%
0.03 238
 
2.4%
0.04 182
 
1.8%
0.05 127
 
1.3%
0.07 114
 
1.1%
0.06 98
 
1.0%
0.08 94
 
0.9%
0.09 85
 
0.9%
Other values (108) 691
 
6.9%
ValueCountFrequency (%)
0.0 7234
72.3%
0.01 751
 
7.5%
0.02 386
 
3.9%
0.03 238
 
2.4%
0.04 182
 
1.8%
0.05 127
 
1.3%
0.06 98
 
1.0%
0.07 114
 
1.1%
0.08 94
 
0.9%
0.09 85
 
0.9%
ValueCountFrequency (%)
2.54 1
< 0.1%
2.47 1
< 0.1%
2.32 1
< 0.1%
1.85 1
< 0.1%
1.55 1
< 0.1%
1.5 1
< 0.1%
1.49 1
< 0.1%
1.48 1
< 0.1%
1.42 1
< 0.1%
1.41 1
< 0.1%

예측우량(ymdhm4시간40분
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025997
Minimum0
Maximum4.86
Zeros7466
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:30.642528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.13
Maximum4.86
Range4.86
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.12614974
Coefficient of variation (CV)4.852473
Kurtosis331.77993
Mean0.025997
Median Absolute Deviation (MAD)0
Skewness14.175278
Sum259.97
Variance0.015913757
MonotonicityNot monotonic
2023-12-12T13:38:30.789666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7466
74.7%
0.01 708
 
7.1%
0.02 356
 
3.6%
0.03 207
 
2.1%
0.04 166
 
1.7%
0.05 118
 
1.2%
0.06 98
 
1.0%
0.07 83
 
0.8%
0.09 77
 
0.8%
0.08 74
 
0.7%
Other values (99) 647
 
6.5%
ValueCountFrequency (%)
0.0 7466
74.7%
0.01 708
 
7.1%
0.02 356
 
3.6%
0.03 207
 
2.1%
0.04 166
 
1.7%
0.05 118
 
1.2%
0.06 98
 
1.0%
0.07 83
 
0.8%
0.08 74
 
0.7%
0.09 77
 
0.8%
ValueCountFrequency (%)
4.86 1
< 0.1%
2.83 1
< 0.1%
2.75 1
< 0.1%
2.37 1
< 0.1%
2.08 1
< 0.1%
1.86 1
< 0.1%
1.74 1
< 0.1%
1.68 1
< 0.1%
1.65 1
< 0.1%
1.56 1
< 0.1%

예측우량(ymdhm4시간50분
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.029829
Minimum0
Maximum4.42
Zeros7216
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:30.936430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.14
Maximum4.42
Range4.42
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.1440304
Coefficient of variation (CV)4.8285359
Kurtosis283.13127
Mean0.029829
Median Absolute Deviation (MAD)0
Skewness14.261768
Sum298.29
Variance0.020744755
MonotonicityNot monotonic
2023-12-12T13:38:31.097407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7216
72.2%
0.01 657
 
6.6%
0.02 360
 
3.6%
0.03 232
 
2.3%
0.04 169
 
1.7%
0.05 158
 
1.6%
0.06 149
 
1.5%
0.07 116
 
1.2%
0.08 105
 
1.1%
0.09 94
 
0.9%
Other values (102) 744
 
7.4%
ValueCountFrequency (%)
0.0 7216
72.2%
0.01 657
 
6.6%
0.02 360
 
3.6%
0.03 232
 
2.3%
0.04 169
 
1.7%
0.05 158
 
1.6%
0.06 149
 
1.5%
0.07 116
 
1.2%
0.08 105
 
1.1%
0.09 94
 
0.9%
ValueCountFrequency (%)
4.42 1
< 0.1%
3.99 1
< 0.1%
3.5 1
< 0.1%
2.86 1
< 0.1%
2.74 1
< 0.1%
2.51 1
< 0.1%
2.46 1
< 0.1%
2.4 1
< 0.1%
2.36 1
< 0.1%
2.14 1
< 0.1%

예측우량(ymdhm5시간
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008568
Minimum0
Maximum1.14
Zeros9139
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:31.251534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.04
Maximum1.14
Range1.14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.044626769
Coefficient of variation (CV)5.2085398
Kurtosis123.03676
Mean0.008568
Median Absolute Deviation (MAD)0
Skewness9.137751
Sum85.68
Variance0.0019915485
MonotonicityNot monotonic
2023-12-12T13:38:31.380043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9139
91.4%
0.01 159
 
1.6%
0.02 94
 
0.9%
0.03 68
 
0.7%
0.04 50
 
0.5%
0.05 49
 
0.5%
0.08 40
 
0.4%
0.06 34
 
0.3%
0.07 32
 
0.3%
0.09 30
 
0.3%
Other values (46) 305
 
3.0%
ValueCountFrequency (%)
0.0 9139
91.4%
0.01 159
 
1.6%
0.02 94
 
0.9%
0.03 68
 
0.7%
0.04 50
 
0.5%
0.05 49
 
0.5%
0.06 34
 
0.3%
0.07 32
 
0.3%
0.08 40
 
0.4%
0.09 30
 
0.3%
ValueCountFrequency (%)
1.14 1
 
< 0.1%
0.86 1
 
< 0.1%
0.8 1
 
< 0.1%
0.76 1
 
< 0.1%
0.72 1
 
< 0.1%
0.66 3
< 0.1%
0.55 1
 
< 0.1%
0.54 1
 
< 0.1%
0.53 1
 
< 0.1%
0.51 1
 
< 0.1%

예측우량(ymdhm5시간20분
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00617
Minimum0
Maximum1.5
Zeros9097
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:31.505944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03
Maximum1.5
Range1.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.037794099
Coefficient of variation (CV)6.1254618
Kurtosis490.35506
Mean0.00617
Median Absolute Deviation (MAD)0
Skewness17.237216
Sum61.7
Variance0.0014283939
MonotonicityNot monotonic
2023-12-12T13:38:31.674755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 9097
91.0%
0.01 246
 
2.5%
0.02 124
 
1.2%
0.03 76
 
0.8%
0.04 75
 
0.8%
0.05 57
 
0.6%
0.06 53
 
0.5%
0.07 35
 
0.4%
0.08 26
 
0.3%
0.09 25
 
0.2%
Other values (37) 186
 
1.9%
ValueCountFrequency (%)
0.0 9097
91.0%
0.01 246
 
2.5%
0.02 124
 
1.2%
0.03 76
 
0.8%
0.04 75
 
0.8%
0.05 57
 
0.6%
0.06 53
 
0.5%
0.07 35
 
0.4%
0.08 26
 
0.3%
0.09 25
 
0.2%
ValueCountFrequency (%)
1.5 1
 
< 0.1%
1.2 2
< 0.1%
0.67 1
 
< 0.1%
0.61 1
 
< 0.1%
0.56 1
 
< 0.1%
0.54 1
 
< 0.1%
0.46 3
< 0.1%
0.44 1
 
< 0.1%
0.43 1
 
< 0.1%
0.4 1
 
< 0.1%

예측우량(ymdhm5시간20분 .1
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003957
Minimum0
Maximum1.05
Zeros9409
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:31.834268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum1.05
Range1.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.030530728
Coefficient of variation (CV)7.715625
Kurtosis326.92411
Mean0.003957
Median Absolute Deviation (MAD)0
Skewness15.062378
Sum39.57
Variance0.00093212536
MonotonicityNot monotonic
2023-12-12T13:38:31.973444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 9409
94.1%
0.01 202
 
2.0%
0.02 97
 
1.0%
0.03 55
 
0.5%
0.04 38
 
0.4%
0.05 25
 
0.2%
0.06 17
 
0.2%
0.07 16
 
0.2%
0.08 13
 
0.1%
0.09 11
 
0.1%
Other values (39) 117
 
1.2%
ValueCountFrequency (%)
0.0 9409
94.1%
0.01 202
 
2.0%
0.02 97
 
1.0%
0.03 55
 
0.5%
0.04 38
 
0.4%
0.05 25
 
0.2%
0.06 17
 
0.2%
0.07 16
 
0.2%
0.08 13
 
0.1%
0.09 11
 
0.1%
ValueCountFrequency (%)
1.05 1
< 0.1%
0.93 1
< 0.1%
0.59 1
< 0.1%
0.56 1
< 0.1%
0.55 1
< 0.1%
0.53 1
< 0.1%
0.47 1
< 0.1%
0.46 1
< 0.1%
0.44 2
< 0.1%
0.43 1
< 0.1%

예측우량(ymdhm5시간30분
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006497
Minimum0
Maximum1.03
Zeros9181
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:32.101254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.02
Maximum1.03
Range1.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.041167809
Coefficient of variation (CV)6.3364335
Kurtosis183.99173
Mean0.006497
Median Absolute Deviation (MAD)0
Skewness11.646538
Sum64.97
Variance0.0016947885
MonotonicityNot monotonic
2023-12-12T13:38:32.251368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9181
91.8%
0.01 267
 
2.7%
0.02 107
 
1.1%
0.03 74
 
0.7%
0.04 45
 
0.4%
0.05 34
 
0.3%
0.06 28
 
0.3%
0.09 24
 
0.2%
0.07 22
 
0.2%
0.13 21
 
0.2%
Other values (45) 197
 
2.0%
ValueCountFrequency (%)
0.0 9181
91.8%
0.01 267
 
2.7%
0.02 107
 
1.1%
0.03 74
 
0.7%
0.04 45
 
0.4%
0.05 34
 
0.3%
0.06 28
 
0.3%
0.07 22
 
0.2%
0.08 12
 
0.1%
0.09 24
 
0.2%
ValueCountFrequency (%)
1.03 1
< 0.1%
0.98 1
< 0.1%
0.82 2
< 0.1%
0.81 1
< 0.1%
0.77 1
< 0.1%
0.66 1
< 0.1%
0.65 1
< 0.1%
0.64 1
< 0.1%
0.57 1
< 0.1%
0.54 1
< 0.1%

예측우량(ymdhm5시간40분
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009844
Minimum0
Maximum2.52
Zeros9119
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:32.391390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.04
Maximum2.52
Range2.52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.063068323
Coefficient of variation (CV)6.4067781
Kurtosis487.47992
Mean0.009844
Median Absolute Deviation (MAD)0
Skewness16.840882
Sum98.44
Variance0.0039776134
MonotonicityNot monotonic
2023-12-12T13:38:32.542022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9119
91.2%
0.01 204
 
2.0%
0.02 106
 
1.1%
0.03 57
 
0.6%
0.05 53
 
0.5%
0.04 40
 
0.4%
0.06 37
 
0.4%
0.07 36
 
0.4%
0.08 32
 
0.3%
0.1 26
 
0.3%
Other values (62) 290
 
2.9%
ValueCountFrequency (%)
0.0 9119
91.2%
0.01 204
 
2.0%
0.02 106
 
1.1%
0.03 57
 
0.6%
0.04 40
 
0.4%
0.05 53
 
0.5%
0.06 37
 
0.4%
0.07 36
 
0.4%
0.08 32
 
0.3%
0.09 21
 
0.2%
ValueCountFrequency (%)
2.52 1
< 0.1%
2.32 1
< 0.1%
1.13 1
< 0.1%
1.02 1
< 0.1%
0.94 1
< 0.1%
0.82 1
< 0.1%
0.79 1
< 0.1%
0.77 2
< 0.1%
0.75 2
< 0.1%
0.71 1
< 0.1%

예측우량(ymdhm5시간50분
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011011
Minimum0
Maximum3.13
Zeros9136
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:32.689795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.03
Maximum3.13
Range3.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.086169196
Coefficient of variation (CV)7.8257376
Kurtosis371.19921
Mean0.011011
Median Absolute Deviation (MAD)0
Skewness16.593896
Sum110.11
Variance0.0074251304
MonotonicityNot monotonic
2023-12-12T13:38:32.832523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9136
91.4%
0.01 215
 
2.1%
0.02 105
 
1.1%
0.03 73
 
0.7%
0.04 55
 
0.5%
0.05 41
 
0.4%
0.06 31
 
0.3%
0.09 31
 
0.3%
0.07 30
 
0.3%
0.08 23
 
0.2%
Other values (76) 260
 
2.6%
ValueCountFrequency (%)
0.0 9136
91.4%
0.01 215
 
2.1%
0.02 105
 
1.1%
0.03 73
 
0.7%
0.04 55
 
0.5%
0.05 41
 
0.4%
0.06 31
 
0.3%
0.07 30
 
0.3%
0.08 23
 
0.2%
0.09 31
 
0.3%
ValueCountFrequency (%)
3.13 1
< 0.1%
1.98 1
< 0.1%
1.89 1
< 0.1%
1.88 1
< 0.1%
1.8 1
< 0.1%
1.78 1
< 0.1%
1.72 1
< 0.1%
1.56 1
< 0.1%
1.5 1
< 0.1%
1.46 1
< 0.1%

예측우량(ymdhm6시간
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008858
Minimum0
Maximum2.71
Zeros9400
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:38:32.977397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.01
Maximum2.71
Range2.71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.093209896
Coefficient of variation (CV)10.52268
Kurtosis410.69024
Mean0.008858
Median Absolute Deviation (MAD)0
Skewness18.707221
Sum88.58
Variance0.0086880846
MonotonicityNot monotonic
2023-12-12T13:38:33.119443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9400
94.0%
0.01 180
 
1.8%
0.02 70
 
0.7%
0.03 42
 
0.4%
0.04 41
 
0.4%
0.05 30
 
0.3%
0.06 27
 
0.3%
0.08 21
 
0.2%
0.07 18
 
0.2%
0.09 17
 
0.2%
Other values (67) 154
 
1.5%
ValueCountFrequency (%)
0.0 9400
94.0%
0.01 180
 
1.8%
0.02 70
 
0.7%
0.03 42
 
0.4%
0.04 41
 
0.4%
0.05 30
 
0.3%
0.06 27
 
0.3%
0.07 18
 
0.2%
0.08 21
 
0.2%
0.09 17
 
0.2%
ValueCountFrequency (%)
2.71 1
 
< 0.1%
2.62 1
 
< 0.1%
2.46 1
 
< 0.1%
2.33 1
 
< 0.1%
2.31 1
 
< 0.1%
2.01 1
 
< 0.1%
1.93 3
< 0.1%
1.83 1
 
< 0.1%
1.82 1
 
< 0.1%
1.79 1
 
< 0.1%

Sample

대권역명표준유역명월일시분우량예측우량(ymdhm3시)예측우량(ymdhm6시)예측우량(ymdhm9시)예측우량(ymdhm12시)예측우량(ymdhm15시)예측우량(ymdhm18시)예측우량(ymdhm21시)예측우량(ymdhm24시)예측우량(ymdhm27시)예측우량(ymdhm30시)예측우량(ymdhm33시)예측우량(ymdhm36시)예측우량(ymdhm39시)예측우량(ymdhm42시)예측우량(ymdhm45시)예측우량(ymdhm48시)예측우량(ymdhm51시)예측우량(ymdhm54시)예측우량(ymdhm57시)예측우량(ymdhm60시)예측우량(ymdhm63시)예측우량(ymdhm66시)예측우량(ymdhm69시)예측우량(ymdhm72예측우량(ymdhm4시간20분예측우량(ymdhm4시간20분 .1예측우량(ymdhm4시간30분예측우량(ymdhm4시간40분예측우량(ymdhm4시간50분예측우량(ymdhm5시간예측우량(ymdhm5시간20분예측우량(ymdhm5시간20분 .1예측우량(ymdhm5시간30분예측우량(ymdhm5시간40분예측우량(ymdhm5시간50분예측우량(ymdhm6시간
5832한강공지천2021-07-26 21:000.060.110.050.020.020.070.060.030.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
60604안성천고삼댐2021-06-15 21:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.020.00.00.110.140.050.020.00.00.00.00.010.00.00.00.00.00.00.00.00.0
17133한강방내천2021-06-06 03:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
23577한강소양강댐2021-07-06 09:000.00.00.00.00.00.00.00.00.00.00.00.020.010.010.170.050.070.180.140.090.250.170.050.00.00.020.060.090.140.050.00.00.00.00.00.00.0
6876한강괴산댐2021-06-07 15:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
68131한강서해포내천2021-06-18 21:000.00.00.010.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.020.00.00.00.00.00.00.0
35388한강원주천합류점2021-06-08 15:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
48309한강춘천댐하류2021-06-04 15:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
8506한강금강산댐상류2021-06-24 15:000.110.090.010.00.00.00.010.020.10.070.00.00.00.050.060.060.120.110.010.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
40774한강주천강상류2021-06-02 21:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
대권역명표준유역명월일시분우량예측우량(ymdhm3시)예측우량(ymdhm6시)예측우량(ymdhm9시)예측우량(ymdhm12시)예측우량(ymdhm15시)예측우량(ymdhm18시)예측우량(ymdhm21시)예측우량(ymdhm24시)예측우량(ymdhm27시)예측우량(ymdhm30시)예측우량(ymdhm33시)예측우량(ymdhm36시)예측우량(ymdhm39시)예측우량(ymdhm42시)예측우량(ymdhm45시)예측우량(ymdhm48시)예측우량(ymdhm51시)예측우량(ymdhm54시)예측우량(ymdhm57시)예측우량(ymdhm60시)예측우량(ymdhm63시)예측우량(ymdhm66시)예측우량(ymdhm69시)예측우량(ymdhm72예측우량(ymdhm4시간20분예측우량(ymdhm4시간20분 .1예측우량(ymdhm4시간30분예측우량(ymdhm4시간40분예측우량(ymdhm4시간50분예측우량(ymdhm5시간예측우량(ymdhm5시간20분예측우량(ymdhm5시간20분 .1예측우량(ymdhm5시간30분예측우량(ymdhm5시간40분예측우량(ymdhm5시간50분예측우량(ymdhm6시간
58734한강화촌수위표2021-06-29 09:000.020.110.120.120.00.010.010.060.110.30.220.10.00.00.00.00.00.00.00.00.00.00.00.00.00.00.010.00.00.00.00.00.00.00.00.00.0
36497한강이천수위표2021-07-07 15:000.010.00.00.00.00.00.00.080.190.190.160.060.00.00.00.020.040.070.030.160.010.00.00.030.010.020.00.00.010.00.00.00.00.00.00.00.0
26242한강신천하류2021-06-13 21:000.00.00.00.00.00.00.00.00.00.00.00.00.010.010.00.00.00.00.00.00.00.00.010.010.00.00.00.00.00.00.00.00.00.00.00.00.0
69183한강동해강릉남대천2021-07-16 03:000.00.00.010.040.010.00.00.00.00.00.00.240.370.060.00.00.00.00.00.060.170.030.00.00.00.00.00.050.110.070.00.00.00.00.00.00.0
42207한강죽산천2021-06-02 15:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
63706안성천청룡천2021-07-29 03:000.030.00.00.010.030.030.00.00.00.00.00.00.00.00.00.00.00.230.080.020.050.010.00.00.00.00.00.010.00.00.00.00.00.00.00.00.0
58207한강화천댐하류2021-07-07 09:000.00.00.00.00.030.020.030.040.010.040.20.150.060.040.00.010.00.060.070.090.030.060.00.020.010.010.010.010.00.00.00.00.00.00.00.010.0
1385한강감천2021-07-15 15:000.150.220.020.010.00.00.00.010.010.010.00.00.00.00.00.050.070.010.00.00.00.00.00.00.030.010.00.00.00.00.00.00.00.00.00.00.0
32332한강오대천상류2021-06-01 09:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
34657한강운계천합류점2021-06-08 03:000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0