Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory99.3 B

Variable types

Categorical5
Numeric6

Dataset

Description샘플 데이터
Author세종대학교 산학협력단
URLhttps://www.bigdata-environment.kr/user/data_market/detail.do?id=20acf850-0326-11ec-abdd-bd6fc00492b0

Alerts

관측 순번 has constant value ""Constant
관측소 번호 has constant value ""Constant
국가 코드 has constant value ""Constant
평균 해면 기압 값 has constant value ""Constant
평균 온도 is highly overall correlated with 최대 온도 and 4 other fieldsHigh correlation
최대 온도 is highly overall correlated with 평균 온도 and 4 other fieldsHigh correlation
최저 온도 is highly overall correlated with 평균 온도 and 4 other fieldsHigh correlation
이슬 점 온도 is highly overall correlated with 평균 온도 and 4 other fieldsHigh correlation
평균 바람 속도 is highly overall correlated with 평균 온도 and 4 other fieldsHigh correlation
강수 량 is highly overall correlated with 평균 온도 and 4 other fieldsHigh correlation
관측 일 has unique valuesUnique

Reproduction

Analysis started2023-12-10 11:06:50.531335
Analysis finished2023-12-10 11:06:57.268521
Duration6.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관측 순번
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
300508
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300508
2nd row300508
3rd row300508
4th row300508
5th row300508

Common Values

ValueCountFrequency (%)
300508 100
100.0%

Length

2023-12-10T20:06:57.390936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:57.592492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300508 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
788910
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row788910
2nd row788910
3rd row788910
4th row788910
5th row788910

Common Values

ValueCountFrequency (%)
788910 100
100.0%

Length

2023-12-10T20:06:57.775910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:57.957096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
788910 100
100.0%

국가 코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
GP
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GP 100
100.0%

Length

2023-12-10T20:06:58.142351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:58.316187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gp 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20040728
Minimum20040531
Maximum20040907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:58.524403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040531
5-th percentile20040605
Q120040625
median20040720
Q320040813
95-th percentile20040902
Maximum20040907
Range376
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation94.659914
Coefficient of variation (CV)4.723377 × 10-6
Kurtosis-1.0644792
Mean20040728
Median Absolute Deviation (MAD)94.5
Skewness0.10049739
Sum2.0040728 × 109
Variance8960.4994
MonotonicityStrictly increasing
2023-12-10T20:06:58.829364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040531 1
 
1.0%
20040803 1
 
1.0%
20040813 1
 
1.0%
20040812 1
 
1.0%
20040811 1
 
1.0%
20040810 1
 
1.0%
20040809 1
 
1.0%
20040808 1
 
1.0%
20040807 1
 
1.0%
20040806 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20040531 1
1.0%
20040601 1
1.0%
20040602 1
1.0%
20040603 1
1.0%
20040604 1
1.0%
20040605 1
1.0%
20040606 1
1.0%
20040607 1
1.0%
20040608 1
1.0%
20040609 1
1.0%
ValueCountFrequency (%)
20040907 1
1.0%
20040906 1
1.0%
20040905 1
1.0%
20040904 1
1.0%
20040903 1
1.0%
20040902 1
1.0%
20040901 1
1.0%
20040831 1
1.0%
20040830 1
1.0%
20040829 1
1.0%

강수 량
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
99.99
59 
0.0
41 

Length

Max length5
Median length5
Mean length4.18
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row99.99
4th row99.99
5th row99.99

Common Values

ValueCountFrequency (%)
99.99 59
59.0%
0.0 41
41.0%

Length

2023-12-10T20:06:59.171736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:59.423505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99.99 59
59.0%
0.0 41
41.0%

평균 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4744.698
Minimum79.6
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:59.626872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.6
5-th percentile82.675
Q184.475
median87.4
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9920.3
Interquartile range (IQR)9915.425

Descriptive statistics

Standard deviation4973.7371
Coefficient of variation (CV)1.0482726
Kurtosis-2.0260353
Mean4744.698
Median Absolute Deviation (MAD)6.45
Skewness0.12205489
Sum474469.8
Variance24738061
MonotonicityNot monotonic
2023-12-10T20:06:59.886062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9999.9 47
47.0%
83.8 4
 
4.0%
84.7 4
 
4.0%
85.4 3
 
3.0%
85.6 3
 
3.0%
85.5 3
 
3.0%
82.7 2
 
2.0%
87.5 2
 
2.0%
84.0 2
 
2.0%
86.0 2
 
2.0%
Other values (25) 28
28.0%
ValueCountFrequency (%)
79.6 1
1.0%
79.8 1
1.0%
80.9 1
1.0%
81.0 1
1.0%
82.2 1
1.0%
82.7 2
2.0%
82.9 1
1.0%
83.0 1
1.0%
83.1 1
1.0%
83.3 1
1.0%
ValueCountFrequency (%)
9999.9 47
47.0%
88.1 1
 
1.0%
87.5 2
 
2.0%
87.3 1
 
1.0%
86.9 1
 
1.0%
86.1 1
 
1.0%
86.0 2
 
2.0%
85.8 1
 
1.0%
85.6 3
 
3.0%
85.5 3
 
3.0%

최대 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4745.508
Minimum82.4
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:00.189445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.4
5-th percentile84.2
Q186
median89.6
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9917.5
Interquartile range (IQR)9913.9

Descriptive statistics

Standard deviation4972.9705
Coefficient of variation (CV)1.0479322
Kurtosis-2.0260353
Mean4745.508
Median Absolute Deviation (MAD)6.3
Skewness0.12205487
Sum474550.8
Variance24730436
MonotonicityNot monotonic
2023-12-10T20:07:00.429681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9999.9 47
47.0%
86.0 26
26.0%
84.2 12
 
12.0%
89.6 5
 
5.0%
82.4 3
 
3.0%
86.4 2
 
2.0%
87.8 2
 
2.0%
91.4 1
 
1.0%
87.4 1
 
1.0%
86.7 1
 
1.0%
ValueCountFrequency (%)
82.4 3
 
3.0%
84.2 12
 
12.0%
86.0 26
26.0%
86.4 2
 
2.0%
86.7 1
 
1.0%
87.4 1
 
1.0%
87.8 2
 
2.0%
89.6 5
 
5.0%
91.4 1
 
1.0%
9999.9 47
47.0%
ValueCountFrequency (%)
9999.9 47
47.0%
91.4 1
 
1.0%
89.6 5
 
5.0%
87.8 2
 
2.0%
87.4 1
 
1.0%
86.7 1
 
1.0%
86.4 2
 
2.0%
86.0 26
26.0%
84.2 12
 
12.0%
82.4 3
 
3.0%

최저 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4743.506
Minimum73.4
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:00.739354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.4
5-th percentile78.8
Q182.4
median85.1
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9926.5
Interquartile range (IQR)9917.5

Descriptive statistics

Standard deviation4974.8654
Coefficient of variation (CV)1.0487739
Kurtosis-2.0260351
Mean4743.506
Median Absolute Deviation (MAD)8.1
Skewness0.12205468
Sum474350.6
Variance24749286
MonotonicityNot monotonic
2023-12-10T20:07:00.992299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9999.9 47
47.0%
82.4 20
20.0%
84.2 14
 
14.0%
78.8 5
 
5.0%
80.6 4
 
4.0%
86.0 3
 
3.0%
77.0 3
 
3.0%
82.8 1
 
1.0%
83.8 1
 
1.0%
83.1 1
 
1.0%
ValueCountFrequency (%)
73.4 1
 
1.0%
77.0 3
 
3.0%
78.8 5
 
5.0%
80.6 4
 
4.0%
82.4 20
20.0%
82.8 1
 
1.0%
83.1 1
 
1.0%
83.8 1
 
1.0%
84.2 14
14.0%
86.0 3
 
3.0%
ValueCountFrequency (%)
9999.9 47
47.0%
86.0 3
 
3.0%
84.2 14
 
14.0%
83.8 1
 
1.0%
83.1 1
 
1.0%
82.8 1
 
1.0%
82.4 20
20.0%
80.6 4
 
4.0%
78.8 5
 
5.0%
77.0 3
 
3.0%

이슬 점 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4440.874
Minimum69.6
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:01.680549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.6
5-th percentile71.2
Q172.875
median75.35
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9930.3
Interquartile range (IQR)9927.025

Descriptive statistics

Standard deviation4952.3741
Coefficient of variation (CV)1.1151801
Kurtosis-1.9797645
Mean4440.874
Median Absolute Deviation (MAD)4.05
Skewness0.24544383
Sum444087.4
Variance24526009
MonotonicityNot monotonic
2023-12-10T20:07:01.944883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9999.9 44
44.0%
73.4 5
 
5.0%
73.2 4
 
4.0%
71.6 3
 
3.0%
72.5 3
 
3.0%
71.8 2
 
2.0%
74.4 2
 
2.0%
73.1 2
 
2.0%
72.9 2
 
2.0%
75.5 2
 
2.0%
Other values (25) 31
31.0%
ValueCountFrequency (%)
69.6 1
 
1.0%
69.8 1
 
1.0%
70.5 1
 
1.0%
71.1 1
 
1.0%
71.2 2
2.0%
71.4 1
 
1.0%
71.6 3
3.0%
71.8 2
2.0%
71.9 2
2.0%
72.1 1
 
1.0%
ValueCountFrequency (%)
9999.9 44
44.0%
77.0 1
 
1.0%
76.6 1
 
1.0%
76.0 1
 
1.0%
75.7 1
 
1.0%
75.5 2
 
2.0%
75.2 1
 
1.0%
74.9 1
 
1.0%
74.4 2
 
2.0%
74.1 2
 
2.0%

평균 바람 속도
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445.684
Minimum1.5
Maximum999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:02.230091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile5.585
Q110.775
median13.35
Q3999.9
95-th percentile999.9
Maximum999.9
Range998.4
Interquartile range (IQR)989.125

Descriptive statistics

Standard deviation493.7409
Coefficient of variation (CV)1.1078273
Kurtosis-1.9796974
Mean445.684
Median Absolute Deviation (MAD)7.55
Skewness0.24536875
Sum44568.4
Variance243780.08
MonotonicityNot monotonic
2023-12-10T20:07:02.493945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
999.9 44
44.0%
12.5 3
 
3.0%
11.7 3
 
3.0%
6.5 2
 
2.0%
10.9 2
 
2.0%
10.7 2
 
2.0%
12.9 2
 
2.0%
11.5 2
 
2.0%
11.0 2
 
2.0%
8.5 2
 
2.0%
Other values (34) 36
36.0%
ValueCountFrequency (%)
1.5 1
1.0%
3.3 1
1.0%
3.8 1
1.0%
4.1 1
1.0%
5.3 1
1.0%
5.6 1
1.0%
6.0 1
1.0%
6.2 1
1.0%
6.5 2
2.0%
6.6 1
1.0%
ValueCountFrequency (%)
999.9 44
44.0%
17.6 1
 
1.0%
16.1 1
 
1.0%
14.7 1
 
1.0%
14.6 1
 
1.0%
14.1 1
 
1.0%
13.5 1
 
1.0%
13.2 1
 
1.0%
13.0 1
 
1.0%
12.9 2
 
2.0%

평균 해면 기압 값
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
9999.9
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9999.9
2nd row9999.9
3rd row9999.9
4th row9999.9
5th row9999.9

Common Values

ValueCountFrequency (%)
9999.9 100
100.0%

Length

2023-12-10T20:07:02.761734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:07:02.950783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9999.9 100
100.0%

Interactions

2023-12-10T20:06:55.694348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:50.961653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.033714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.960425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.875373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.811402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:55.875106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:51.147989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.197174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.118371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.050747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.971234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:56.022362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:51.303827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.355269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.264782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.201183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:55.121973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:56.175793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:51.488024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.504229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.395149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.352962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:55.257939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:56.321900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:51.662728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.662597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.548366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.505501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:55.394974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:56.461489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:51.859942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:52.802348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:53.708240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:54.649806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:55.535437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:07:03.056180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도
관측 일1.0000.2070.0590.0000.0350.0000.000
강수 량0.2071.0000.9050.9050.9050.9010.901
평균 온도0.0590.9051.0000.9870.9750.9920.992
최대 온도0.0000.9050.9871.0000.9950.9920.992
최저 온도0.0350.9050.9750.9951.0000.9920.992
이슬 점 온도0.0000.9010.9920.9920.9921.0000.999
평균 바람 속도0.0000.9010.9920.9920.9920.9991.000
2023-12-10T20:07:03.256226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도강수 량
관측 일1.000-0.264-0.212-0.117-0.226-0.1030.157
평균 온도-0.2641.0000.8950.7990.8470.7450.721
최대 온도-0.2120.8951.0000.8620.8450.7860.721
최저 온도-0.1170.7990.8621.0000.7900.8370.721
이슬 점 온도-0.2260.8470.8450.7901.0000.7620.715
평균 바람 속도-0.1030.7450.7860.8370.7621.0000.715
강수 량0.1570.7210.7210.7210.7150.7151.000

Missing values

2023-12-10T20:06:56.742282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:06:57.146312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

관측 순번관측소 번호국가 코드관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
0300508788910GP200405310.082.784.278.872.512.39999.9
1300508788910GP200406010.087.589.686.075.58.69999.9
2300508788910GP2004060299.9987.389.684.275.76.69999.9
3300508788910GP2004060399.999999.99999.99999.99999.9999.99999.9
4300508788910GP2004060499.999999.99999.99999.99999.9999.99999.9
5300508788910GP2004060599.999999.99999.99999.99999.9999.99999.9
6300508788910GP2004060699.999999.99999.99999.99999.9999.99999.9
7300508788910GP200406070.087.591.480.676.010.79999.9
8300508788910GP200406080.09999.989.686.077.06.09999.9
9300508788910GP2004060999.999999.99999.99999.99999.9999.99999.9
관측 순번관측소 번호국가 코드관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
90300508788910GP2004082999.999999.99999.99999.99999.9999.99999.9
91300508788910GP2004083099.9983.086.077.073.43.89999.9
92300508788910GP2004083199.9983.884.282.473.43.39999.9
93300508788910GP2004090199.9984.286.082.472.55.39999.9
94300508788910GP200409020.084.486.082.469.89.89999.9
95300508788910GP2004090399.999999.99999.99999.99999.9999.99999.9
96300508788910GP2004090499.999999.99999.99999.99999.9999.99999.9
97300508788910GP200409050.085.887.884.269.611.59999.9
98300508788910GP2004090699.9984.986.082.470.512.99999.9
99300508788910GP2004090799.9981.082.477.073.28.69999.9