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
관측 일 has unique valuesUnique
강수 량 has 84 (84.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:06:08.598511
Analysis finished2023-12-10 11:06:21.048003
Duration12.45 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
300398
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300398
2nd row300398
3rd row300398
4th row300398
5th row300398

Common Values

ValueCountFrequency (%)
300398 100
100.0%

Length

2023-12-10T20:06:21.179390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:21.366157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300398 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
785433
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row785433
2nd row785433
3rd row785433
4th row785433
5th row785433

Common Values

ValueCountFrequency (%)
785433 100
100.0%

Length

2023-12-10T20:06:21.528708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:21.681965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
785433 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GJ 100
100.0%

Length

2023-12-10T20:06:21.834211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:21.984857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gj 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19850545
Minimum19850405
Maximum19850713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:22.167079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850405
5-th percentile19850410
Q119850430
median19850524
Q319850618
95-th percentile19850708
Maximum19850713
Range308
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation97.720717
Coefficient of variation (CV)4.9228228 × 10-6
Kurtosis-1.1116274
Mean19850545
Median Absolute Deviation (MAD)94.5
Skewness0.11847794
Sum1.9850545 × 109
Variance9549.3385
MonotonicityStrictly increasing
2023-12-10T20:06:22.447633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19850405 1
 
1.0%
19850608 1
 
1.0%
19850618 1
 
1.0%
19850617 1
 
1.0%
19850616 1
 
1.0%
19850615 1
 
1.0%
19850614 1
 
1.0%
19850613 1
 
1.0%
19850612 1
 
1.0%
19850611 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19850405 1
1.0%
19850406 1
1.0%
19850407 1
1.0%
19850408 1
1.0%
19850409 1
1.0%
19850410 1
1.0%
19850411 1
1.0%
19850412 1
1.0%
19850413 1
1.0%
19850414 1
1.0%
ValueCountFrequency (%)
19850713 1
1.0%
19850712 1
1.0%
19850711 1
1.0%
19850710 1
1.0%
19850709 1
1.0%
19850708 1
1.0%
19850707 1
1.0%
19850706 1
1.0%
19850705 1
1.0%
19850704 1
1.0%

강수 량
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1504
Minimum0
Maximum10.6
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:22.698375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3635
Maximum10.6
Range10.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0683509
Coefficient of variation (CV)7.1033967
Kurtosis95.141738
Mean0.1504
Median Absolute Deviation (MAD)0
Skewness9.6527129
Sum15.04
Variance1.1413736
MonotonicityNot monotonic
2023-12-10T20:06:22.985120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 84
84.0%
0.01 3
 
3.0%
0.08 2
 
2.0%
10.6 1
 
1.0%
1.01 1
 
1.0%
0.13 1
 
1.0%
0.78 1
 
1.0%
0.03 1
 
1.0%
0.35 1
 
1.0%
0.02 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 84
84.0%
0.01 3
 
3.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.08 2
 
2.0%
0.13 1
 
1.0%
0.24 1
 
1.0%
0.31 1
 
1.0%
0.35 1
 
1.0%
0.62 1
 
1.0%
ValueCountFrequency (%)
10.6 1
1.0%
1.01 1
1.0%
0.78 1
1.0%
0.76 1
1.0%
0.62 1
1.0%
0.35 1
1.0%
0.31 1
1.0%
0.24 1
1.0%
0.13 1
1.0%
0.08 2
2.0%

평균 온도
Real number (ℝ)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.078
Minimum78.2
Maximum85.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:23.290220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.2
5-th percentile79.5
Q181.175
median82.05
Q383.15
95-th percentile84.605
Maximum85.3
Range7.1
Interquartile range (IQR)1.975

Descriptive statistics

Standard deviation1.4975792
Coefficient of variation (CV)0.018245805
Kurtosis-0.45628781
Mean82.078
Median Absolute Deviation (MAD)1.05
Skewness-0.2054714
Sum8207.8
Variance2.2427434
MonotonicityNot monotonic
2023-12-10T20:06:23.545212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
82.4 7
 
7.0%
83.1 7
 
7.0%
83.6 5
 
5.0%
81.2 5
 
5.0%
82.0 5
 
5.0%
81.4 4
 
4.0%
84.7 4
 
4.0%
83.5 3
 
3.0%
84.0 3
 
3.0%
83.8 3
 
3.0%
Other values (32) 54
54.0%
ValueCountFrequency (%)
78.2 1
 
1.0%
79.1 1
 
1.0%
79.2 2
2.0%
79.5 3
3.0%
79.7 1
 
1.0%
79.8 2
2.0%
79.9 1
 
1.0%
80.2 2
2.0%
80.3 1
 
1.0%
80.4 1
 
1.0%
ValueCountFrequency (%)
85.3 1
 
1.0%
84.7 4
4.0%
84.6 1
 
1.0%
84.1 1
 
1.0%
84.0 3
3.0%
83.8 3
3.0%
83.6 5
5.0%
83.5 3
3.0%
83.4 3
3.0%
83.3 1
 
1.0%

최대 온도
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.034
Minimum80.6
Maximum92.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:23.776964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.6
5-th percentile82.4
Q184.2
median86
Q387.4
95-th percentile89.805
Maximum92.1
Range11.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.0431813
Coefficient of variation (CV)0.023748533
Kurtosis1.0493051
Mean86.034
Median Absolute Deviation (MAD)1.8
Skewness0.25076057
Sum8603.4
Variance4.1745899
MonotonicityNot monotonic
2023-12-10T20:06:24.033609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
86.0 38
38.0%
84.2 22
22.0%
87.8 13
 
13.0%
82.4 5
 
5.0%
87.4 2
 
2.0%
87.1 2
 
2.0%
81.0 1
 
1.0%
87.6 1
 
1.0%
90.3 1
 
1.0%
80.6 1
 
1.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
80.6 1
 
1.0%
81.0 1
 
1.0%
82.4 5
 
5.0%
84.2 22
22.0%
85.4 1
 
1.0%
86.0 38
38.0%
86.6 1
 
1.0%
86.7 1
 
1.0%
86.8 1
 
1.0%
87.1 2
 
2.0%
ValueCountFrequency (%)
92.1 1
 
1.0%
91.5 1
 
1.0%
91.3 1
 
1.0%
90.3 1
 
1.0%
89.9 1
 
1.0%
89.8 1
 
1.0%
89.1 1
 
1.0%
88.7 1
 
1.0%
88.4 1
 
1.0%
87.8 13
13.0%

최저 온도
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.204
Minimum68.2
Maximum82.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:24.280935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.2
5-th percentile70.39
Q177
median78.8
Q378.8
95-th percentile80.6
Maximum82.4
Range14.2
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation3.118272
Coefficient of variation (CV)0.040390031
Kurtosis0.81970134
Mean77.204
Median Absolute Deviation (MAD)1.8
Skewness-1.1999898
Sum7720.4
Variance9.7236202
MonotonicityNot monotonic
2023-12-10T20:06:24.620075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
78.8 37
37.0%
77.0 21
21.0%
80.6 15
15.0%
75.2 3
 
3.0%
75.9 2
 
2.0%
72.0 2
 
2.0%
68.7 1
 
1.0%
73.4 1
 
1.0%
74.0 1
 
1.0%
70.2 1
 
1.0%
Other values (16) 16
16.0%
ValueCountFrequency (%)
68.2 1
1.0%
68.7 1
1.0%
68.9 1
1.0%
70.1 1
1.0%
70.2 1
1.0%
70.4 1
1.0%
70.8 1
1.0%
70.9 1
1.0%
71.8 1
1.0%
72.0 2
2.0%
ValueCountFrequency (%)
82.4 1
 
1.0%
80.6 15
15.0%
79.0 1
 
1.0%
78.8 37
37.0%
77.3 1
 
1.0%
77.0 21
21.0%
76.1 1
 
1.0%
75.9 2
 
2.0%
75.2 3
 
3.0%
74.3 1
 
1.0%

이슬 점 온도
Real number (ℝ)

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.799
Minimum60.3
Maximum76.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:24.897225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.3
5-th percentile68.775
Q171.55
median73.15
Q374.8
95-th percentile75.905
Maximum76.6
Range16.3
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.678138
Coefficient of variation (CV)0.036788115
Kurtosis4.1240849
Mean72.799
Median Absolute Deviation (MAD)1.65
Skewness-1.5194432
Sum7279.9
Variance7.1724232
MonotonicityNot monotonic
2023-12-10T20:06:25.173543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.9 5
 
5.0%
75.2 4
 
4.0%
72.8 3
 
3.0%
74.5 3
 
3.0%
74.0 3
 
3.0%
74.2 3
 
3.0%
72.0 3
 
3.0%
72.1 3
 
3.0%
72.5 3
 
3.0%
74.8 3
 
3.0%
Other values (47) 67
67.0%
ValueCountFrequency (%)
60.3 1
1.0%
65.6 1
1.0%
66.0 1
1.0%
66.3 1
1.0%
68.3 1
1.0%
68.8 1
1.0%
68.9 2
2.0%
69.5 1
1.0%
69.7 1
1.0%
69.8 1
1.0%
ValueCountFrequency (%)
76.6 1
 
1.0%
76.4 1
 
1.0%
76.2 1
 
1.0%
76.0 2
2.0%
75.9 2
2.0%
75.7 1
 
1.0%
75.6 2
2.0%
75.5 2
2.0%
75.4 2
2.0%
75.3 3
3.0%

평균 바람 속도
Real number (ℝ)

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.815
Minimum2.8
Maximum18.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:25.448320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile6.28
Q19.475
median11.7
Q314.125
95-th percentile17.015
Maximum18.9
Range16.1
Interquartile range (IQR)4.65

Descriptive statistics

Standard deviation3.3477982
Coefficient of variation (CV)0.28335152
Kurtosis-0.424057
Mean11.815
Median Absolute Deviation (MAD)2.3
Skewness-0.065335505
Sum1181.5
Variance11.207753
MonotonicityNot monotonic
2023-12-10T20:06:25.838062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4 4
 
4.0%
10.4 4
 
4.0%
13.0 3
 
3.0%
16.6 2
 
2.0%
15.2 2
 
2.0%
10.2 2
 
2.0%
13.2 2
 
2.0%
10.9 2
 
2.0%
10.6 2
 
2.0%
8.4 2
 
2.0%
Other values (61) 75
75.0%
ValueCountFrequency (%)
2.8 1
1.0%
5.0 1
1.0%
5.2 1
1.0%
5.4 1
1.0%
5.9 1
1.0%
6.3 1
1.0%
6.8 1
1.0%
7.0 1
1.0%
7.9 1
1.0%
8.0 2
2.0%
ValueCountFrequency (%)
18.9 1
1.0%
18.2 1
1.0%
17.8 1
1.0%
17.4 1
1.0%
17.3 1
1.0%
17.0 1
1.0%
16.8 1
1.0%
16.7 1
1.0%
16.6 2
2.0%
16.3 1
1.0%

평균 해면 기압 값
Real number (ℝ)

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4778.836
Minimum888.9
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:26.130457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum888.9
5-th percentile979.235
Q1998.8
median1013.85
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9111
Interquartile range (IQR)9001.1

Descriptive statistics

Standard deviation4465.3563
Coefficient of variation (CV)0.9344025
Kurtosis-1.9306536
Mean4778.836
Median Absolute Deviation (MAD)33.5
Skewness0.32907624
Sum477883.6
Variance19939407
MonotonicityNot monotonic
2023-12-10T20:06:26.386925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9999.9 42
42.0%
1012.8 2
 
2.0%
1012.0 2
 
2.0%
1011.6 2
 
2.0%
1012.5 2
 
2.0%
996.2 2
 
2.0%
1011.7 2
 
2.0%
1014.2 2
 
2.0%
992.8 2
 
2.0%
1010.7 2
 
2.0%
Other values (40) 40
40.0%
ValueCountFrequency (%)
888.9 1
1.0%
890.0 1
1.0%
940.0 1
1.0%
977.8 1
1.0%
978.0 1
1.0%
979.3 1
1.0%
979.7 1
1.0%
980.2 1
1.0%
980.5 1
1.0%
981.3 1
1.0%
ValueCountFrequency (%)
9999.9 42
42.0%
1015.2 1
 
1.0%
1014.9 1
 
1.0%
1014.5 1
 
1.0%
1014.3 1
 
1.0%
1014.2 2
 
2.0%
1014.1 1
 
1.0%
1014.0 1
 
1.0%
1013.7 1
 
1.0%
1013.5 1
 
1.0%

Interactions

2023-12-10T20:06:19.283100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:08.975450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.464027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.709940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.194600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:14.596857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.182994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.579590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:19.442105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:09.133073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.634458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.887632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.347120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:14.837909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.341427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.740848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:19.588959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:09.281378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.755662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:12.102591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.494585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:15.062104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.498369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.925964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:19.800755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:09.438212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.915839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:12.288270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.719622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:15.234979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.684321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:18.112642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:19.941509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:09.587947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.056638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:12.448812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.944431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:15.391582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.858780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:18.287768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:20.110333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:09.760059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.236862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:12.630199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:14.099867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:15.643373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.034343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:18.775940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:20.277522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.033363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.416606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:12.808716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:14.275951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:15.838613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.219908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:18.957417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:20.448716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:10.284830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:11.584005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:13.042514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:14.445183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:16.036366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:17.423498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:19.128334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:06:26.581040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.0000.2860.4100.5480.1470.3620.000
강수 량0.0001.0000.0000.0000.0000.0000.0000.000
평균 온도0.2860.0001.0000.5270.6740.2370.3160.043
최대 온도0.4100.0000.5271.0000.6940.4610.4760.169
최저 온도0.5480.0000.6740.6941.0000.3880.6760.343
이슬 점 온도0.1470.0000.2370.4610.3881.0000.3670.469
평균 바람 속도0.3620.0000.3160.4760.6760.3671.0000.282
평균 해면 기압 값0.0000.0000.0430.1690.3430.4690.2821.000
2023-12-10T20:06:26.779835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.1450.4120.2060.1960.374-0.423-0.009
강수 량0.1451.0000.0110.079-0.0060.273-0.232-0.095
평균 온도0.4120.0111.0000.4960.4850.3110.0290.154
최대 온도0.2060.0790.4961.000-0.101-0.016-0.1980.147
최저 온도0.196-0.0060.485-0.1011.0000.2900.271-0.020
이슬 점 온도0.3740.2730.311-0.0160.2901.000-0.262-0.138
평균 바람 속도-0.423-0.2320.029-0.1980.271-0.2621.0000.058
평균 해면 기압 값-0.009-0.0950.1540.147-0.020-0.1380.0581.000

Missing values

2023-12-10T20:06:20.656157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:06:20.928582image/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
0300398785433GJ198504050.079.281.075.972.85.2998.2
1300398785433GJ198504060.081.084.277.069.716.29999.9
2300398785433GJ198504070.082.486.078.868.913.89999.9
3300398785433GJ198504080.081.084.277.070.817.39999.9
4300398785433GJ198504090.081.486.078.871.115.99999.9
5300398785433GJ198504100.0181.484.277.069.514.09999.9
6300398785433GJ198504110.080.484.277.069.813.5990.6
7300398785433GJ198504120.080.284.277.071.613.1997.1
8300398785433GJ198504130.080.286.075.271.716.3983.0
9300398785433GJ198504140.080.384.278.870.712.9981.3
관측 순번관측소 번호국가 코드관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
90300398785433GJ198507040.081.284.278.866.38.0996.2
91300398785433GJ198507050.7682.484.278.875.98.81011.6
92300398785433GJ198507060.083.187.878.873.913.0997.0
93300398785433GJ198507070.080.882.478.874.712.71013.0
94300398785433GJ198507080.081.184.277.074.89.01014.0
95300398785433GJ198507090.085.386.077.073.810.59999.9
96300398785433GJ198507100.083.690.374.071.07.0992.7
97300398785433GJ198507110.084.786.080.672.110.4992.8
98300398785433GJ198507120.082.286.078.874.412.81012.8
99300398785433GJ198507130.079.584.273.474.711.4991.9