Overview

Dataset statistics

Number of variables37
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory333.3 B

Variable types

Categorical28
Numeric9

Dataset

Description샘플 데이터
Author한국기상산업기술원
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=2b196320-a061-11ee-b38e-6783ddae4cb6

Alerts

기준 일시 has constant value ""Constant
평균 누적강수량 is highly imbalanced (71.4%)Imbalance
평균 수온 is highly imbalanced (71.4%)Imbalance
평균최대파고(m) is highly imbalanced (71.4%)Imbalance
평균유의파고(m) is highly imbalanced (71.4%)Imbalance
평균 파주기(sec) is highly imbalanced (71.4%)Imbalance
최대 누적강수량 is highly imbalanced (71.4%)Imbalance
최대 수온 is highly imbalanced (71.4%)Imbalance
최고최대파고(m) is highly imbalanced (71.4%)Imbalance
최고유의파고(m) is highly imbalanced (71.4%)Imbalance
최고파주기(sec) is highly imbalanced (71.4%)Imbalance
최저 누적강수량 is highly imbalanced (71.4%)Imbalance
최저 풍향 is highly imbalanced (71.4%)Imbalance
최저 현지기압 is highly imbalanced (71.4%)Imbalance
최저 수온 is highly imbalanced (71.4%)Imbalance
최저최대파고(m) is highly imbalanced (71.4%)Imbalance
최저유의파고(m) is highly imbalanced (71.4%)Imbalance
최저파주기(sec) is highly imbalanced (71.4%)Imbalance
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-05 20:25:06.389996
Analysis finished2024-01-05 20:25:06.920533
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준 일시
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
01월 01일
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01월 01일
2nd row01월 01일
3rd row01월 01일
4th row01월 01일
5th row01월 01일

Common Values

ValueCountFrequency (%)
01월 01일 100
100.0%

Length

2024-01-05T20:25:07.287753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:07.708798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01월 100
50.0%
01일 100
50.0%

위도
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.02087
Minimum34.873337
Maximum35.170597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:08.081657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.873337
5-th percentile34.873646
Q134.923517
median35.02172
Q335.12022
95-th percentile35.170132
Maximum35.170597
Range0.29726
Interquartile range (IQR)0.196703

Descriptive statistics

Standard deviation0.096746402
Coefficient of variation (CV)0.0027625356
Kurtosis-1.1982785
Mean35.02087
Median Absolute Deviation (MAD)0.098403
Skewness0.021448387
Sum3502.087
Variance0.0093598663
MonotonicityNot monotonic
2024-01-05T20:25:08.525994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.120396 1
 
1.0%
34.922997 1
 
1.0%
34.922783 1
 
1.0%
34.87407 1
 
1.0%
34.873726 1
 
1.0%
34.923077 1
 
1.0%
34.923252 1
 
1.0%
34.972103 1
 
1.0%
34.874268 1
 
1.0%
34.92292 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
34.873337 1
1.0%
34.87339 1
1.0%
34.873447 1
1.0%
34.873512 1
1.0%
34.873577 1
1.0%
34.87365 1
1.0%
34.873726 1
1.0%
34.873806 1
1.0%
34.87389 1
1.0%
34.873978 1
1.0%
ValueCountFrequency (%)
35.170597 1
1.0%
35.170494 1
1.0%
35.1704 1
1.0%
35.170303 1
1.0%
35.17021 1
1.0%
35.170128 1
1.0%
35.170048 1
1.0%
35.169968 1
1.0%
35.169895 1
1.0%
35.16983 1
1.0%

경도
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04628
Minimum128.74281
Maximum129.37943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:08.929998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.74281
5-th percentile128.74465
Q1128.88027
median129.05977
Q3129.19811
95-th percentile129.33409
Maximum129.37943
Range0.63662
Interquartile range (IQR)0.31784

Descriptive statistics

Standard deviation0.18949301
Coefficient of variation (CV)0.0014684113
Kurtosis-1.1654776
Mean129.04628
Median Absolute Deviation (MAD)0.17869
Skewness0.03565009
Sum12904.628
Variance0.035907602
MonotonicityNot monotonic
2024-01-05T20:25:09.423644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.92624 1
 
1.0%
129.01479 1
 
1.0%
128.87898 1
 
1.0%
129.1952 1
 
1.0%
129.01424 1
 
1.0%
129.06006 1
 
1.0%
129.15062 1
 
1.0%
128.87944 1
 
1.0%
129.2857 1
 
1.0%
128.96953 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
128.74281 1
1.0%
128.74318 1
1.0%
128.74355 1
1.0%
128.74393 1
1.0%
128.7443 1
1.0%
128.74467 1
1.0%
128.74504 1
1.0%
128.78804 1
1.0%
128.78845 1
1.0%
128.78885 1
1.0%
ValueCountFrequency (%)
129.37943 1
1.0%
129.37862 1
1.0%
129.3778 1
1.0%
129.377 1
1.0%
129.33484 1
1.0%
129.33405 1
1.0%
129.33327 1
1.0%
129.33249 1
1.0%
129.33173 1
1.0%
129.29018 1
1.0%

매칭된 관측장비 지점번호
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1983.85
Minimum160
Maximum22104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:09.800446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile904
Q1910
median921
Q3969
95-th percentile2025.75
Maximum22104
Range21944
Interquartile range (IQR)59

Descriptive statistics

Standard deviation4639.8339
Coefficient of variation (CV)2.3388028
Kurtosis15.884457
Mean1983.85
Median Absolute Deviation (MAD)16
Skewness4.1904796
Sum198385
Variance21528059
MonotonicityNot monotonic
2024-01-05T20:25:10.135486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
921 25
25.0%
969 23
23.0%
910 17
17.0%
904 10
 
10.0%
937 9
 
9.0%
950 5
 
5.0%
22104 5
 
5.0%
942 2
 
2.0%
938 2
 
2.0%
940 1
 
1.0%
ValueCountFrequency (%)
160 1
 
1.0%
904 10
 
10.0%
910 17
17.0%
921 25
25.0%
937 9
 
9.0%
938 2
 
2.0%
940 1
 
1.0%
942 2
 
2.0%
950 5
 
5.0%
969 23
23.0%
ValueCountFrequency (%)
22104 5
 
5.0%
969 23
23.0%
950 5
 
5.0%
942 2
 
2.0%
940 1
 
1.0%
938 2
 
2.0%
937 9
 
9.0%
921 25
25.0%
910 17
17.0%
904 10
 
10.0%

평균 기온
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1622121
Minimum0.138288
Maximum6.838889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:10.389201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.138288
5-th percentile2.925309
Q13.0222972
median4.22691
Q35.392957
95-th percentile5.4652536
Maximum6.838889
Range6.700601
Interquartile range (IQR)2.3706598

Descriptive statistics

Standard deviation1.1746294
Coefficient of variation (CV)0.28221277
Kurtosis0.52245734
Mean4.1622121
Median Absolute Deviation (MAD)1.166047
Skewness0.10367814
Sum416.22121
Variance1.3797543
MonotonicityNot monotonic
2024-01-05T20:25:10.806416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.22691 25
25.0%
5.392957 23
23.0%
2.925309 17
17.0%
3.027431 10
 
10.0%
4.208029 9
 
9.0%
3.006896 5
 
5.0%
6.838889 5
 
5.0%
4.851872 2
 
2.0%
2.980456 2
 
2.0%
3.60176 1
 
1.0%
ValueCountFrequency (%)
0.138288 1
 
1.0%
2.925309 17
17.0%
2.980456 2
 
2.0%
3.006896 5
 
5.0%
3.027431 10
 
10.0%
3.60176 1
 
1.0%
4.208029 9
 
9.0%
4.22691 25
25.0%
4.851872 2
 
2.0%
5.392957 23
23.0%
ValueCountFrequency (%)
6.838889 5
 
5.0%
5.392957 23
23.0%
4.851872 2
 
2.0%
4.22691 25
25.0%
4.208029 9
 
9.0%
3.60176 1
 
1.0%
3.027431 10
 
10.0%
3.006896 5
 
5.0%
2.980456 2
 
2.0%
2.925309 17
17.0%

평균 누적강수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.15
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 95
95.0%
<NA> 5
 
5.0%

Length

2024-01-05T20:25:11.289841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:11.597626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
na 5
 
5.0%

평균 풍향
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
51 
0.005403
25 
0.002316
17 
<NA>
 
5
0.003478
 
1

Length

Max length8
Median length3
Mean length5.24
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 51
51.0%
0.005403 25
25.0%
0.002316 17
 
17.0%
<NA> 5
 
5.0%
0.003478 1
 
1.0%
0.00386 1
 
1.0%

Length

2024-01-05T20:25:12.005721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:12.347608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 51
51.0%
0.005403 25
25.0%
0.002316 17
 
17.0%
na 5
 
5.0%
0.003478 1
 
1.0%
0.00386 1
 
1.0%

평균 풍속
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.17114
Minimum6.233333
Maximum298.87469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:12.631077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.233333
5-th percentile192.07425
Q1222.69029
median258.51204
Q3283.71868
95-th percentile284.47648
Maximum298.87469
Range292.64136
Interquartile range (IQR)61.028395

Descriptive statistics

Standard deviation62.006673
Coefficient of variation (CV)0.25604485
Kurtosis8.2854487
Mean242.17114
Median Absolute Deviation (MAD)25.20664
Skewness-2.7676785
Sum24217.114
Variance3844.8275
MonotonicityNot monotonic
2024-01-05T20:25:12.944288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
283.718682 25
25.0%
258.512042 23
23.0%
257.039589 17
17.0%
202.567837 10
 
10.0%
201.855347 9
 
9.0%
298.874692 5
 
5.0%
6.233333 5
 
5.0%
232.525643 2
 
2.0%
269.120908 2
 
2.0%
210.849645 1
 
1.0%
ValueCountFrequency (%)
6.233333 5
 
5.0%
201.855347 9
 
9.0%
202.567837 10
 
10.0%
210.849645 1
 
1.0%
226.637168 1
 
1.0%
232.525643 2
 
2.0%
257.039589 17
17.0%
258.512042 23
23.0%
269.120908 2
 
2.0%
283.718682 25
25.0%
ValueCountFrequency (%)
298.874692 5
 
5.0%
283.718682 25
25.0%
269.120908 2
 
2.0%
258.512042 23
23.0%
257.039589 17
17.0%
232.525643 2
 
2.0%
226.637168 1
 
1.0%
210.849645 1
 
1.0%
202.567837 10
 
10.0%
201.855347 9
 
9.0%

평균 현지기압
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
1022.21346
23 
1027.350017
10 

Length

Max length11
Median length4
Mean length6.08
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1027.350017
2nd row<NA>
3rd row<NA>
4th row1027.350017
5th row1027.350017

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
1022.21346 23
 
23.0%
1027.350017 10
 
10.0%

Length

2024-01-05T20:25:13.604676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:14.086552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
1022.21346 23
 
23.0%
1027.350017 10
 
10.0%

평균 해면기압
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.777118
Minimum1.324842
Maximum1027.2111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:14.661664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.324842
5-th percentile1.485297
Q12.71516
median4.532056
Q35.1157
95-th percentile58.631434
Maximum1027.2111
Range1025.8863
Interquartile range (IQR)2.40054

Descriptive statistics

Standard deviation224.21994
Coefficient of variation (CV)4.0933141
Kurtosis15.894303
Mean54.777118
Median Absolute Deviation (MAD)1.163446
Skewness4.1923629
Sum5477.7118
Variance50274.584
MonotonicityNot monotonic
2024-01-05T20:25:15.157546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.532056 25
25.0%
5.1157 23
23.0%
2.71516 17
17.0%
1.485297 10
 
10.0%
1.814157 9
 
9.0%
3.36861 5
 
5.0%
1027.211111 5
 
5.0%
1.787545 2
 
2.0%
1.979528 2
 
2.0%
1.324842 1
 
1.0%
ValueCountFrequency (%)
1.324842 1
 
1.0%
1.485297 10
 
10.0%
1.787545 2
 
2.0%
1.814157 9
 
9.0%
1.979528 2
 
2.0%
2.71516 17
17.0%
3.36861 5
 
5.0%
4.532056 25
25.0%
5.1157 23
23.0%
7.653556 1
 
1.0%
ValueCountFrequency (%)
1027.211111 5
 
5.0%
7.653556 1
 
1.0%
5.1157 23
23.0%
4.532056 25
25.0%
3.36861 5
 
5.0%
2.71516 17
17.0%
1.979528 2
 
2.0%
1.814157 9
 
9.0%
1.787545 2
 
2.0%
1.485297 10
 
10.0%

평균 습도
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
62 
1026.90457
23 
1027.875881
10 
52.222222
 
5

Length

Max length11
Median length4
Mean length6.33
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1027.875881
2nd row<NA>
3rd row<NA>
4th row1027.875881
5th row1027.875881

Common Values

ValueCountFrequency (%)
<NA> 62
62.0%
1026.90457 23
 
23.0%
1027.875881 10
 
10.0%
52.222222 5
 
5.0%

Length

2024-01-05T20:25:16.036648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:16.371668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
62.0%
1026.90457 23
 
23.0%
1027.875881 10
 
10.0%
52.222222 5
 
5.0%

평균 수온
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
15.277778
 
5

Length

Max length9
Median length4
Mean length4.25
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
15.277778 5
 
5.0%

Length

2024-01-05T20:25:16.577917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:16.867061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
15.277778 5
 
5.0%

평균최대파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
1.488889
 
5

Length

Max length8
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
1.488889 5
 
5.0%

Length

2024-01-05T20:25:17.227683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:17.590255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
1.488889 5
 
5.0%

평균유의파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
0.927778
 
5

Length

Max length8
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
0.927778 5
 
5.0%

Length

2024-01-05T20:25:18.052793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:18.445685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
0.927778 5
 
5.0%

평균 파주기(sec)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
7.466667
 
5

Length

Max length8
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
7.466667 5
 
5.0%

Length

2024-01-05T20:25:18.795440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:19.135518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
7.466667 5
 
5.0%

최대 기온
Real number (ℝ)

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.005
Minimum9.3
Maximum15.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:19.409693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile12
Q113.9
median14
Q315
95-th percentile15.9
Maximum15.9
Range6.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.2863993
Coefficient of variation (CV)0.091852862
Kurtosis0.57502989
Mean14.005
Median Absolute Deviation (MAD)1
Skewness-0.84619279
Sum1400.5
Variance1.6548232
MonotonicityNot monotonic
2024-01-05T20:25:19.856354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
14.0 25
25.0%
15.0 25
25.0%
12.1 17
17.0%
14.5 11
11.0%
15.9 9
 
9.0%
13.9 5
 
5.0%
12.0 5
 
5.0%
14.2 2
 
2.0%
9.3 1
 
1.0%
ValueCountFrequency (%)
9.3 1
 
1.0%
12.0 5
 
5.0%
12.1 17
17.0%
13.9 5
 
5.0%
14.0 25
25.0%
14.2 2
 
2.0%
14.5 11
11.0%
15.0 25
25.0%
15.9 9
 
9.0%
ValueCountFrequency (%)
15.9 9
 
9.0%
15.0 25
25.0%
14.5 11
11.0%
14.2 2
 
2.0%
14.0 25
25.0%
13.9 5
 
5.0%
12.1 17
17.0%
12.0 5
 
5.0%
9.3 1
 
1.0%

최대 누적강수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.15
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 95
95.0%
<NA> 5
 
5.0%

Length

2024-01-05T20:25:20.410492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:20.725006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
na 5
 
5.0%

최대 풍향
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
51 
10
44 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.59
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 51
51.0%
10 44
44.0%
<NA> 5
 
5.0%

Length

2024-01-05T20:25:21.314656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:21.666707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
51.0%
10 44
44.0%
na 5
 
5.0%

최대 풍속
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
360.0
66 
359.2
23 
359.8
 
5
9.5
 
5
359.5
 
1

Length

Max length5
Median length5
Mean length4.9
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row360.0
2nd row360.0
3rd row359.8
4th row360.0
5th row360.0

Common Values

ValueCountFrequency (%)
360.0 66
66.0%
359.2 23
 
23.0%
359.8 5
 
5.0%
9.5 5
 
5.0%
359.5 1
 
1.0%

Length

2024-01-05T20:25:21.984554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:22.366361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
360.0 66
66.0%
359.2 23
 
23.0%
359.8 5
 
5.0%
9.5 5
 
5.0%
359.5 1
 
1.0%

최대 현지기압
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.585
Minimum7.6
Maximum1034.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-05T20:25:22.655487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.8
Q111.9
median18.5
Q323.3
95-th percentile73.845
Maximum1034.2
Range1026.6
Interquartile range (IQR)11.4

Descriptive statistics

Standard deviation223.17729
Coefficient of variation (CV)3.3517653
Kurtosis15.871211
Mean66.585
Median Absolute Deviation (MAD)6
Skewness4.1880756
Sum6658.5
Variance49808.103
MonotonicityNot monotonic
2024-01-05T20:25:22.967605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
18.5 25
25.0%
23.3 23
23.0%
12.5 17
17.0%
7.8 10
 
10.0%
8.1 9
 
9.0%
11.9 5
 
5.0%
1034.2 5
 
5.0%
10.2 2
 
2.0%
7.7 2
 
2.0%
7.6 1
 
1.0%
ValueCountFrequency (%)
7.6 1
 
1.0%
7.7 2
 
2.0%
7.8 10
 
10.0%
8.1 9
 
9.0%
10.2 2
 
2.0%
11.9 5
 
5.0%
12.5 17
17.0%
18.5 25
25.0%
22.8 1
 
1.0%
23.3 23
23.0%
ValueCountFrequency (%)
1034.2 5
 
5.0%
23.3 23
23.0%
22.8 1
 
1.0%
18.5 25
25.0%
12.5 17
17.0%
11.9 5
 
5.0%
10.2 2
 
2.0%
8.1 9
 
9.0%
7.8 10
 
10.0%
7.7 2
 
2.0%

최대 해면기압
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
1031.2
23 
1036.6
10 

Length

Max length6
Median length4
Mean length4.66
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1036.6
2nd row<NA>
3rd row<NA>
4th row1036.6
5th row1036.6

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
1031.2 23
 
23.0%
1036.6 10
 
10.0%

Length

2024-01-05T20:25:23.351784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:23.689058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
1031.2 23
 
23.0%
1036.6 10
 
10.0%

최대 습도
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
62 
1036.0
23 
1037.2
10 
66.0
 
5

Length

Max length6
Median length4
Mean length4.66
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1037.2
2nd row<NA>
3rd row<NA>
4th row1037.2
5th row1037.2

Common Values

ValueCountFrequency (%)
<NA> 62
62.0%
1036.0 23
 
23.0%
1037.2 10
 
10.0%
66.0 5
 
5.0%

Length

2024-01-05T20:25:24.152875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:24.489594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
62.0%
1036.0 23
 
23.0%
1037.2 10
 
10.0%
66.0 5
 
5.0%

최대 수온
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
16.8
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
16.8 5
 
5.0%

Length

2024-01-05T20:25:24.838663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:25.133700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
16.8 5
 
5.0%

최고최대파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
2.1
 
5

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
2.1 5
 
5.0%

Length

2024-01-05T20:25:25.527220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:25.829597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
2.1 5
 
5.0%

최고유의파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
1.6
 
5

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
1.6 5
 
5.0%

Length

2024-01-05T20:25:26.177874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:26.588078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
1.6 5
 
5.0%

최고파주기(sec)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
12.8
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
12.8 5
 
5.0%

Length

2024-01-05T20:25:26.899943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:27.203745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
12.8 5
 
5.0%

최저 기온
Real number (ℝ)

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.489
Minimum-9.5
Maximum1.2
Zeros0
Zeros (%)0.0%
Negative95
Negative (%)95.0%
Memory size1.0 KiB
2024-01-05T20:25:27.511377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.5
5-th percentile-6.4
Q1-5.2
median-4.5
Q3-3.4
95-th percentile-3.17
Maximum1.2
Range10.7
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation1.6956209
Coefficient of variation (CV)-0.37772798
Kurtosis4.8193075
Mean-4.489
Median Absolute Deviation (MAD)0.7
Skewness1.5101102
Sum-448.9
Variance2.8751303
MonotonicityNot monotonic
2024-01-05T20:25:27.897790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-5.2 27
27.0%
-4.5 25
25.0%
-3.4 23
23.0%
-6.4 9
 
9.0%
-6.2 5
 
5.0%
1.2 5
 
5.0%
-3.7 2
 
2.0%
-6.3 2
 
2.0%
-5.7 1
 
1.0%
-9.5 1
 
1.0%
ValueCountFrequency (%)
-9.5 1
 
1.0%
-6.4 9
 
9.0%
-6.3 2
 
2.0%
-6.2 5
 
5.0%
-5.7 1
 
1.0%
-5.2 27
27.0%
-4.5 25
25.0%
-3.7 2
 
2.0%
-3.4 23
23.0%
1.2 5
 
5.0%
ValueCountFrequency (%)
1.2 5
 
5.0%
-3.4 23
23.0%
-3.7 2
 
2.0%
-4.5 25
25.0%
-5.2 27
27.0%
-5.7 1
 
1.0%
-6.2 5
 
5.0%
-6.3 2
 
2.0%
-6.4 9
 
9.0%
-9.5 1
 
1.0%

최저 누적강수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.15
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 95
95.0%
<NA> 5
 
5.0%

Length

2024-01-05T20:25:28.507870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:28.938511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
na 5
 
5.0%

최저 풍향
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
95 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.15
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 95
95.0%
<NA> 5
 
5.0%

Length

2024-01-05T20:25:29.353685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:29.744101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
95.0%
na 5
 
5.0%

최저 풍속
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
72 
0.1
23 
3.3
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 72
72.0%
0.1 23
 
23.0%
3.3 5
 
5.0%

Length

2024-01-05T20:25:30.179017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:30.589834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 72
72.0%
0.1 23
 
23.0%
3.3 5
 
5.0%

최저 현지기압
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
1020.8
 
5

Length

Max length6
Median length3
Mean length3.15
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
1020.8 5
 
5.0%

Length

2024-01-05T20:25:30.912385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:31.303069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
1020.8 5
 
5.0%

최저 해면기압
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
1013.1
23 
1017.9
10 

Length

Max length6
Median length4
Mean length4.66
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1017.9
2nd row<NA>
3rd row<NA>
4th row1017.9
5th row1017.9

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
1013.1 23
 
23.0%
1017.9 10
 
10.0%

Length

2024-01-05T20:25:32.000071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:32.351090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
1013.1 23
 
23.0%
1017.9 10
 
10.0%

최저 습도
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
62 
1017.7
23 
1018.4
10 
41.0
 
5

Length

Max length6
Median length4
Mean length4.66
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1018.4
2nd row<NA>
3rd row<NA>
4th row1018.4
5th row1018.4

Common Values

ValueCountFrequency (%)
<NA> 62
62.0%
1017.7 23
 
23.0%
1018.4 10
 
10.0%
41.0 5
 
5.0%

Length

2024-01-05T20:25:32.817927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:33.225154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
62.0%
1017.7 23
 
23.0%
1018.4 10
 
10.0%
41.0 5
 
5.0%

최저 수온
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
14.3
 
5

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
14.3 5
 
5.0%

Length

2024-01-05T20:25:33.895769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:34.198111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
14.3 5
 
5.0%

최저최대파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
0.7
 
5

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
0.7 5
 
5.0%

Length

2024-01-05T20:25:34.543649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:34.844528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
0.7 5
 
5.0%

최저유의파고(m)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
0.4
 
5

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
0.4 5
 
5.0%

Length

2024-01-05T20:25:35.152036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:35.488434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
0.4 5
 
5.0%

최저파주기(sec)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
3.4
 
5

Length

Max length4
Median length4
Mean length3.95
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
3.4 5
 
5.0%

Length

2024-01-05T20:25:35.965472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-05T20:25:36.324289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
3.4 5
 
5.0%

Sample

기준 일시위도경도매칭된 관측장비 지점번호평균 기온평균 누적강수량평균 풍향평균 풍속평균 현지기압평균 해면기압평균 습도평균 수온평균최대파고(m)평균유의파고(m)평균 파주기(sec)최대 기온최대 누적강수량최대 풍향최대 풍속최대 현지기압최대 해면기압최대 습도최대 수온최고최대파고(m)최고유의파고(m)최고파주기(sec)최저 기온최저 누적강수량최저 풍향최저 풍속최저 현지기압최저 해면기압최저 습도최저 수온최저최대파고(m)최저유의파고(m)최저파주기(sec)
001월 01일35.120396128.926249043.02743100.0202.5678371027.3500171.4852971027.875881<NA><NA><NA><NA>14.500360.07.81036.61037.2<NA><NA><NA><NA>-5.2000.00.01017.91018.4<NA><NA><NA><NA>
101월 01일35.1704129.199319374.20802900.0201.855347<NA>1.814157<NA><NA><NA><NA><NA>15.900360.08.1<NA><NA><NA><NA><NA><NA>-6.4000.00.0<NA><NA><NA><NA><NA><NA>
201월 01일35.070873128.880399503.00689600.0298.874692<NA>3.36861<NA><NA><NA><NA><NA>13.900359.811.9<NA><NA><NA><NA><NA><NA>-6.2000.00.0<NA><NA><NA><NA><NA><NA>
301월 01일35.120327128.880849043.02743100.0202.5678371027.3500171.4852971027.875881<NA><NA><NA><NA>14.500360.07.81036.61037.2<NA><NA><NA><NA>-5.2000.00.01017.91018.4<NA><NA><NA><NA>
401월 01일35.16965128.745049043.02743100.0202.5678371027.3500171.4852971027.875881<NA><NA><NA><NA>14.500360.07.81036.61037.2<NA><NA><NA><NA>-5.2000.00.01017.91018.4<NA><NA><NA><NA>
501월 01일35.170303129.153889374.20802900.0201.855347<NA>1.814157<NA><NA><NA><NA><NA>15.900360.08.1<NA><NA><NA><NA><NA><NA>-6.4000.00.0<NA><NA><NA><NA><NA><NA>
601월 01일35.02203129.197259695.39295700.0258.5120421022.213465.11571026.90457<NA><NA><NA><NA>14.000359.223.31031.21036.0<NA><NA><NA><NA>-3.4000.10.01013.11017.7<NA><NA><NA><NA>
701월 01일35.07075128.789669214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
801월 01일35.071346129.152579695.39295700.0258.5120421022.213465.11571026.90457<NA><NA><NA><NA>14.000359.223.31031.21036.0<NA><NA><NA><NA>-3.4000.10.01013.11017.7<NA><NA><NA><NA>
901월 01일35.120266128.835459043.02743100.0202.5678371027.3500171.4852971027.875881<NA><NA><NA><NA>14.500360.07.81036.61037.2<NA><NA><NA><NA>-5.2000.00.01017.91018.4<NA><NA><NA><NA>
기준 일시위도경도매칭된 관측장비 지점번호평균 기온평균 누적강수량평균 풍향평균 풍속평균 현지기압평균 해면기압평균 습도평균 수온평균최대파고(m)평균유의파고(m)평균 파주기(sec)최대 기온최대 누적강수량최대 풍향최대 풍속최대 현지기압최대 해면기압최대 습도최대 수온최고최대파고(m)최고유의파고(m)최고파주기(sec)최저 기온최저 누적강수량최저 풍향최저 풍속최저 현지기압최저 해면기압최저 습도최저 수온최저최대파고(m)최저유의파고(m)최저파주기(sec)
9001월 01일34.92266128.788459214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
9101월 01일35.07164129.288689695.39295700.0258.5120421022.213465.11571026.90457<NA><NA><NA><NA>14.000359.223.31031.21036.0<NA><NA><NA><NA>-3.4000.10.01013.11017.7<NA><NA><NA><NA>
9201월 01일35.071857129.379439374.20802900.0201.855347<NA>1.814157<NA><NA><NA><NA><NA>15.900360.08.1<NA><NA><NA><NA><NA><NA>-6.4000.00.0<NA><NA><NA><NA><NA><NA>
9301월 01일34.92316129.105339102.92530900.002316257.039589<NA>2.71516<NA><NA><NA><NA><NA>12.1010360.012.5<NA><NA><NA><NA><NA><NA>-5.2000.00.0<NA><NA><NA><NA><NA><NA>
9401월 01일34.972168128.924749214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
9501월 01일34.97198128.788859214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
9601월 01일35.021343128.789259214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
9701월 01일34.87339128.788049214.2269100.005403283.718682<NA>4.532056<NA><NA><NA><NA><NA>15.0010360.018.5<NA><NA><NA><NA><NA><NA>-4.5000.00.0<NA><NA><NA><NA><NA><NA>
9801월 01일35.170597129.290189374.20802900.0201.855347<NA>1.814157<NA><NA><NA><NA><NA>15.900360.08.1<NA><NA><NA><NA><NA><NA>-6.4000.00.0<NA><NA><NA><NA><NA><NA>
9901월 01일35.170494129.244759374.20802900.0201.855347<NA>1.814157<NA><NA><NA><NA><NA>15.900360.08.1<NA><NA><NA><NA><NA><NA>-6.4000.00.0<NA><NA><NA><NA><NA><NA>