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

Categorical3
Numeric8

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 온도 is highly overall correlated with 최대 온도High correlation
최대 온도 is highly overall correlated with 평균 온도High correlation
최저 온도 is highly overall correlated with 이슬 점 온도High correlation
이슬 점 온도 is highly overall correlated with 최저 온도High correlation
관측 일 has unique valuesUnique
강수 량 has 83 (83.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:07:04.455916
Analysis finished2023-12-10 11:07:18.614660
Duration14.16 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
300660
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300660
2nd row300660
3rd row300660
4th row300660
5th row300660

Common Values

ValueCountFrequency (%)
300660 100
100.0%

Length

2023-12-10T20:07:18.809708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:07:18.965289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300660 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
810010
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row810010
2nd row810010
3rd row810010
4th row810010
5th row810010

Common Values

ValueCountFrequency (%)
810010 100
100.0%

Length

2023-12-10T20:07:19.130325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:07:19.409037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
810010 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GY 100
100.0%

Length

2023-12-10T20:07:19.660828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:07:19.848678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gy 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19410983
Minimum19410818
Maximum19411125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:20.058694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19410818
5-th percentile19410823
Q119410912
median19411006
Q319411048
95-th percentile19411120
Maximum19411125
Range307
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation98.005596
Coefficient of variation (CV)5.0489764 × 10-6
Kurtosis-1.1282294
Mean19410983
Median Absolute Deviation (MAD)94.5
Skewness-0.10480332
Sum1.9410983 × 109
Variance9605.0969
MonotonicityStrictly increasing
2023-12-10T20:07:20.419625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19410818 1
 
1.0%
19411021 1
 
1.0%
19411031 1
 
1.0%
19411030 1
 
1.0%
19411029 1
 
1.0%
19411028 1
 
1.0%
19411027 1
 
1.0%
19411026 1
 
1.0%
19411025 1
 
1.0%
19411024 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19410818 1
1.0%
19410819 1
1.0%
19410820 1
1.0%
19410821 1
1.0%
19410822 1
1.0%
19410823 1
1.0%
19410824 1
1.0%
19410825 1
1.0%
19410826 1
1.0%
19410827 1
1.0%
ValueCountFrequency (%)
19411125 1
1.0%
19411124 1
1.0%
19411123 1
1.0%
19411122 1
1.0%
19411121 1
1.0%
19411120 1
1.0%
19411119 1
1.0%
19411118 1
1.0%
19411117 1
1.0%
19411116 1
1.0%

강수 량
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0388
Minimum0
Maximum0.89
Zeros83
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:20.702772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2025
Maximum0.89
Range0.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13442943
Coefficient of variation (CV)3.4646761
Kurtosis26.801211
Mean0.0388
Median Absolute Deviation (MAD)0
Skewness4.9473975
Sum3.88
Variance0.018071273
MonotonicityNot monotonic
2023-12-10T20:07:20.939574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 83
83.0%
0.12 2
 
2.0%
0.05 2
 
2.0%
0.2 1
 
1.0%
0.25 1
 
1.0%
0.29 1
 
1.0%
0.15 1
 
1.0%
0.43 1
 
1.0%
0.13 1
 
1.0%
0.81 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 83
83.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.05 2
 
2.0%
0.07 1
 
1.0%
0.09 1
 
1.0%
0.12 2
 
2.0%
0.13 1
 
1.0%
0.15 1
 
1.0%
0.18 1
 
1.0%
ValueCountFrequency (%)
0.89 1
1.0%
0.81 1
1.0%
0.43 1
1.0%
0.29 1
1.0%
0.25 1
1.0%
0.2 1
1.0%
0.18 1
1.0%
0.15 1
1.0%
0.13 1
1.0%
0.12 2
2.0%

평균 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.049
Minimum72.6
Maximum85.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:21.160205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.6
5-th percentile76.485
Q178
median79.2
Q380.2
95-th percentile81.125
Maximum85.5
Range12.9
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.718967
Coefficient of variation (CV)0.021745588
Kurtosis2.5960425
Mean79.049
Median Absolute Deviation (MAD)1.1
Skewness-0.17124591
Sum7904.9
Variance2.9548475
MonotonicityNot monotonic
2023-12-10T20:07:21.427571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
78.0 7
 
7.0%
80.7 5
 
5.0%
79.3 5
 
5.0%
79.1 5
 
5.0%
80.4 5
 
5.0%
79.7 4
 
4.0%
78.1 4
 
4.0%
76.8 4
 
4.0%
80.0 4
 
4.0%
80.2 4
 
4.0%
Other values (31) 53
53.0%
ValueCountFrequency (%)
72.6 1
 
1.0%
75.4 1
 
1.0%
75.8 1
 
1.0%
75.9 1
 
1.0%
76.2 1
 
1.0%
76.5 2
2.0%
76.8 4
4.0%
77.0 2
2.0%
77.3 2
2.0%
77.5 2
2.0%
ValueCountFrequency (%)
85.5 1
 
1.0%
82.6 1
 
1.0%
81.8 1
 
1.0%
81.6 2
 
2.0%
81.1 1
 
1.0%
81.0 1
 
1.0%
80.8 1
 
1.0%
80.7 5
5.0%
80.6 3
3.0%
80.5 2
 
2.0%

최대 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.793
Minimum83.3
Maximum94.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:21.695043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.3
5-th percentile85.255
Q188.3
median90.3
Q391.2
95-th percentile93.4
Maximum94.3
Range11
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.4938411
Coefficient of variation (CV)0.027773224
Kurtosis0.14657741
Mean89.793
Median Absolute Deviation (MAD)1.75
Skewness-0.58778304
Sum8979.3
Variance6.2192434
MonotonicityNot monotonic
2023-12-10T20:07:21.917337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
90.3 19
19.0%
91.2 13
13.0%
89.2 13
13.0%
92.3 10
10.0%
87.3 9
9.0%
88.3 8
8.0%
86.4 5
 
5.0%
93.4 5
 
5.0%
83.3 3
 
3.0%
94.3 3
 
3.0%
Other values (10) 12
12.0%
ValueCountFrequency (%)
83.3 3
 
3.0%
84.4 2
 
2.0%
85.3 2
 
2.0%
86.4 5
 
5.0%
87.3 9
9.0%
88.3 8
8.0%
89.0 1
 
1.0%
89.2 13
13.0%
90.3 19
19.0%
90.7 1
 
1.0%
ValueCountFrequency (%)
94.3 3
 
3.0%
93.4 5
 
5.0%
93.1 1
 
1.0%
92.7 1
 
1.0%
92.3 10
10.0%
92.1 1
 
1.0%
92.0 1
 
1.0%
91.4 1
 
1.0%
91.2 13
13.0%
91.1 1
 
1.0%

최저 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.32
Minimum67.3
Maximum75.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:22.210627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.3
5-th percentile68.4
Q170.3
median71.2
Q372.3
95-th percentile74.3
Maximum75.7
Range8.4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.676938
Coefficient of variation (CV)0.023512872
Kurtosis0.13947181
Mean71.32
Median Absolute Deviation (MAD)1.1
Skewness0.22079183
Sum7132
Variance2.8121212
MonotonicityNot monotonic
2023-12-10T20:07:22.423436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
72.3 23
23.0%
71.2 22
22.0%
70.3 19
19.0%
69.3 8
 
8.0%
68.4 7
 
7.0%
73.4 6
 
6.0%
74.3 5
 
5.0%
75.4 2
 
2.0%
67.3 1
 
1.0%
75.7 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
67.3 1
 
1.0%
68.4 7
 
7.0%
69.3 8
 
8.0%
69.8 1
 
1.0%
70.3 19
19.0%
70.7 1
 
1.0%
71.2 22
22.0%
71.4 1
 
1.0%
71.5 1
 
1.0%
72.2 1
 
1.0%
ValueCountFrequency (%)
75.7 1
 
1.0%
75.4 2
 
2.0%
74.3 5
 
5.0%
73.4 6
 
6.0%
72.5 1
 
1.0%
72.3 23
23.0%
72.2 1
 
1.0%
71.5 1
 
1.0%
71.4 1
 
1.0%
71.2 22
22.0%

이슬 점 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.932
Minimum68.6
Maximum75.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:22.688787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.6
5-th percentile70.395
Q172.2
median73.1
Q373.9
95-th percentile74.8
Maximum75.6
Range7
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.3821284
Coefficient of variation (CV)0.018950918
Kurtosis0.11654845
Mean72.932
Median Absolute Deviation (MAD)0.9
Skewness-0.62699244
Sum7293.2
Variance1.9102788
MonotonicityNot monotonic
2023-12-10T20:07:23.033237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
73.5 4
 
4.0%
73.0 4
 
4.0%
73.1 4
 
4.0%
73.9 4
 
4.0%
72.8 4
 
4.0%
72.7 4
 
4.0%
73.4 3
 
3.0%
73.8 3
 
3.0%
74.6 3
 
3.0%
72.2 3
 
3.0%
Other values (38) 64
64.0%
ValueCountFrequency (%)
68.6 1
1.0%
69.7 1
1.0%
69.9 1
1.0%
70.3 2
2.0%
70.4 1
1.0%
70.5 1
1.0%
70.7 2
2.0%
70.8 1
1.0%
71.0 1
1.0%
71.1 1
1.0%
ValueCountFrequency (%)
75.6 1
 
1.0%
75.1 2
2.0%
74.9 1
 
1.0%
74.8 2
2.0%
74.7 3
3.0%
74.6 3
3.0%
74.5 2
2.0%
74.4 1
 
1.0%
74.3 3
3.0%
74.2 2
2.0%

평균 바람 속도
Real number (ℝ)

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.003
Minimum1.4
Maximum6.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:23.300935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.695
Q12.2
median2.9
Q33.525
95-th percentile5.1
Maximum6.2
Range4.8
Interquartile range (IQR)1.325

Descriptive statistics

Standard deviation1.0301961
Coefficient of variation (CV)0.34305565
Kurtosis0.46183836
Mean3.003
Median Absolute Deviation (MAD)0.7
Skewness0.80567344
Sum300.3
Variance1.061304
MonotonicityNot monotonic
2023-12-10T20:07:23.549257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2.4 7
 
7.0%
3.0 7
 
7.0%
2.2 5
 
5.0%
2.1 5
 
5.0%
1.7 5
 
5.0%
3.3 5
 
5.0%
2.9 5
 
5.0%
3.4 5
 
5.0%
2.6 4
 
4.0%
2.8 4
 
4.0%
Other values (28) 48
48.0%
ValueCountFrequency (%)
1.4 2
 
2.0%
1.5 2
 
2.0%
1.6 1
 
1.0%
1.7 5
5.0%
1.8 3
3.0%
1.9 3
3.0%
2.1 5
5.0%
2.2 5
5.0%
2.3 3
3.0%
2.4 7
7.0%
ValueCountFrequency (%)
6.2 1
1.0%
5.8 1
1.0%
5.4 1
1.0%
5.2 1
1.0%
5.1 2
2.0%
5.0 1
1.0%
4.8 1
1.0%
4.5 2
2.0%
4.4 1
1.0%
4.3 1
1.0%

평균 해면 기압 값
Real number (ℝ)

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean998.376
Minimum994.4
Maximum1001.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:07:23.799073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum994.4
5-th percentile996.295
Q1997.5
median998.4
Q3999.325
95-th percentile1000.415
Maximum1001.5
Range7.1
Interquartile range (IQR)1.825

Descriptive statistics

Standard deviation1.3370494
Coefficient of variation (CV)0.0013392243
Kurtosis0.33165523
Mean998.376
Median Absolute Deviation (MAD)0.9
Skewness-0.22532791
Sum99837.6
Variance1.787701
MonotonicityNot monotonic
2023-12-10T20:07:24.077144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
998.4 6
 
6.0%
998.2 6
 
6.0%
998.1 5
 
5.0%
999.8 5
 
5.0%
999.4 5
 
5.0%
998.6 5
 
5.0%
997.4 5
 
5.0%
996.9 4
 
4.0%
997.7 4
 
4.0%
998.7 4
 
4.0%
Other values (33) 51
51.0%
ValueCountFrequency (%)
994.4 1
1.0%
994.7 1
1.0%
996.0 1
1.0%
996.1 1
1.0%
996.2 1
1.0%
996.3 2
2.0%
996.4 1
1.0%
996.5 1
1.0%
996.6 1
1.0%
996.7 1
1.0%
ValueCountFrequency (%)
1001.5 1
 
1.0%
1001.3 1
 
1.0%
1001.1 1
 
1.0%
1000.7 2
 
2.0%
1000.4 2
 
2.0%
1000.1 2
 
2.0%
1000.0 1
 
1.0%
999.9 1
 
1.0%
999.8 5
5.0%
999.7 2
 
2.0%

Interactions

2023-12-10T20:07:15.927701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:05.005223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.668881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.114750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:09.630998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.055355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:12.721434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:14.552031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:16.107048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:05.188501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.833885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.282440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:09.803406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.251497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:12.958845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:14.717448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:16.331041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:05.361520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.977583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.454233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:09.990119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.448073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:13.160710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:14.874594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:16.655764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:05.740951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:07.155239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.641291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:10.203548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.653004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:13.322316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:15.085519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:16.878281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:05.902738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:07.358817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.798062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:10.380125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.822563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:13.499122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:15.309863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:17.139884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.085654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:07.529457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:08.961749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:10.555621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:11.964789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:13.642754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:15.445498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:17.318017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.276209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:07.701757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:09.157425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:10.721647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:12.201371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:13.795485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:15.610759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:17.567360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:06.466505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:07.872024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:09.432033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:10.881618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:12.444631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:14.372466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:07:15.750690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:07:24.257041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.0000.0000.1980.2800.3690.3200.447
강수 량0.0001.0000.2430.4990.0000.0000.0000.000
평균 온도0.0000.2431.0000.4470.5530.5140.2120.000
최대 온도0.1980.4990.4471.0000.4240.4540.2970.157
최저 온도0.2800.0000.5530.4241.0000.7170.0000.310
이슬 점 온도0.3690.0000.5140.4540.7171.0000.0000.481
평균 바람 속도0.3200.0000.2120.2970.0000.0001.0000.392
평균 해면 기압 값0.4470.0000.0000.1570.3100.4810.3921.000
2023-12-10T20:07:24.458656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.029-0.263-0.2370.0710.2600.488-0.498
강수 량0.0291.000-0.367-0.2890.0270.242-0.279-0.033
평균 온도-0.263-0.3671.0000.5770.209-0.2740.2070.361
최대 온도-0.237-0.2890.5771.000-0.072-0.293-0.0720.287
최저 온도0.0710.0270.209-0.0721.0000.527-0.0040.074
이슬 점 온도0.2600.242-0.274-0.2930.5271.000-0.097-0.003
평균 바람 속도0.488-0.2790.207-0.072-0.004-0.0971.000-0.311
평균 해면 기압 값-0.498-0.0330.3610.2870.074-0.003-0.3111.000

Missing values

2023-12-10T20:07:17.979264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:07:18.434166image/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
0300660810010GY194108180.085.590.375.769.92.2998.4
1300660810010GY194108190.080.389.071.571.32.4999.8
2300660810010GY194108200.0281.891.469.870.51.81000.4
3300660810010GY194108210.080.791.170.770.41.41000.7
4300660810010GY194108220.081.692.771.468.61.71001.3
5300660810010GY194108230.081.692.172.270.71.91000.7
6300660810010GY194108240.082.693.172.570.81.7999.8
7300660810010GY194108250.078.383.375.474.83.2998.5
8300660810010GY194108260.8978.088.372.374.42.9998.2
9300660810010GY194108270.080.090.371.273.73.4998.2
관측 순번관측소 번호국가 코드관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
90300660810010GY194111160.2576.883.372.374.63.0996.6
91300660810010GY194111170.077.584.471.274.33.6996.1
92300660810010GY194111180.078.186.472.374.05.1996.4
93300660810010GY194111190.077.388.370.373.42.9996.9
94300660810010GY194111200.077.685.372.373.93.0996.0
95300660810010GY194111210.078.288.370.371.05.2994.4
96300660810010GY194111220.078.791.268.470.34.8994.7
97300660810010GY194111230.079.189.271.271.15.8996.3
98300660810010GY194111240.078.088.370.371.44.4996.3
99300660810010GY194111250.076.587.368.471.33.4996.2