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=a5c77650-338d-11eb-8adf-f5453fd1d47b

Alerts

관측 순번 has constant value ""Constant
관측소 번호 has constant value ""Constant
국가 코드 has constant value ""Constant
관측 일 is highly overall correlated with 강수 량(in) and 2 other fieldsHigh correlation
강수 량(in) is highly overall correlated with 관측 일High correlation
평균 온도(℉) is highly overall correlated with 최대 온도(℉) and 1 other fieldsHigh correlation
최대 온도(℉) is highly overall correlated with 평균 온도(℉)High correlation
최저 온도(℉) is highly overall correlated with 관측 일 and 2 other fieldsHigh correlation
이슬 점 온도(℉) is highly overall correlated with 관측 일 and 1 other fieldsHigh correlation
관측 일 has unique valuesUnique
강수 량(in) has 85 (85.0%) zerosZeros

Reproduction

Analysis started2023-12-10 12:01:54.927537
Analysis finished2023-12-10 12:02:04.409038
Duration9.48 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
12377
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12377
2nd row12377
3rd row12377
4th row12377
5th row12377

Common Values

ValueCountFrequency (%)
12377 100
100.0%

Length

2023-12-10T21:02:04.500973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:04.644701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12377 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
618020
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row618020
2nd row618020
3rd row618020
4th row618020
5th row618020

Common Values

ValueCountFrequency (%)
618020 100
100.0%

Length

2023-12-10T21:02:04.802419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:04.970534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
618020 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GV 100
100.0%

Length

2023-12-10T21:02:05.125267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:02:05.265647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gv 100
100.0%

관측 일
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19891835
Minimum19891001
Maximum19900108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:05.402542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19891001
5-th percentile19891006
Q119891026
median19891120
Q319891214
95-th percentile19900103
Maximum19900108
Range9107
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation2452.1404
Coefficient of variation (CV)0.00012327372
Kurtosis8.0200466
Mean19891835
Median Absolute Deviation (MAD)94.5
Skewness3.1377212
Sum1.9891835 × 109
Variance6012992.7
MonotonicityNot monotonic
2023-12-10T21:02:05.626184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19891002 1
 
1.0%
19891205 1
 
1.0%
19891215 1
 
1.0%
19891214 1
 
1.0%
19891213 1
 
1.0%
19891212 1
 
1.0%
19891211 1
 
1.0%
19891210 1
 
1.0%
19891209 1
 
1.0%
19891208 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19891001 1
1.0%
19891002 1
1.0%
19891003 1
1.0%
19891004 1
1.0%
19891005 1
1.0%
19891006 1
1.0%
19891007 1
1.0%
19891008 1
1.0%
19891009 1
1.0%
19891010 1
1.0%
ValueCountFrequency (%)
19900108 1
1.0%
19900107 1
1.0%
19900106 1
1.0%
19900105 1
1.0%
19900104 1
1.0%
19900103 1
1.0%
19900102 1
1.0%
19900101 1
1.0%
19891231 1
1.0%
19891230 1
1.0%

강수 량(in)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0179
Minimum0
Maximum0.77
Zeros85
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:05.811080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.061
Maximum0.77
Range0.77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.084987165
Coefficient of variation (CV)4.7478863
Kurtosis64.327175
Mean0.0179
Median Absolute Deviation (MAD)0
Skewness7.6186986
Sum1.79
Variance0.0072228182
MonotonicityNot monotonic
2023-12-10T21:02:06.005961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 85
85.0%
0.03 3
 
3.0%
0.06 2
 
2.0%
0.04 2
 
2.0%
0.16 1
 
1.0%
0.05 1
 
1.0%
0.31 1
 
1.0%
0.01 1
 
1.0%
0.77 1
 
1.0%
0.1 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 85
85.0%
0.01 1
 
1.0%
0.02 1
 
1.0%
0.03 3
 
3.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.1 1
 
1.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
0.77 1
 
1.0%
0.31 1
 
1.0%
0.16 1
 
1.0%
0.1 1
 
1.0%
0.08 1
 
1.0%
0.06 2
2.0%
0.05 1
 
1.0%
0.04 2
2.0%
0.03 3
3.0%
0.02 1
 
1.0%

평균 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.372
Minimum72.6
Maximum86.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:06.224781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.6
5-th percentile74.595
Q180.2
median82.15
Q383.4
95-th percentile85.4
Maximum86.5
Range13.9
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation3.110688
Coefficient of variation (CV)0.03822799
Kurtosis0.34164734
Mean81.372
Median Absolute Deviation (MAD)1.65
Skewness-0.93259501
Sum8137.2
Variance9.6763798
MonotonicityNot monotonic
2023-12-10T21:02:06.428940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.4 5
 
5.0%
82.7 5
 
5.0%
82.9 4
 
4.0%
82.6 3
 
3.0%
85.4 3
 
3.0%
80.2 3
 
3.0%
84.8 3
 
3.0%
80.7 3
 
3.0%
80.3 3
 
3.0%
84.0 2
 
2.0%
Other values (55) 66
66.0%
ValueCountFrequency (%)
72.6 1
1.0%
73.7 1
1.0%
74.3 1
1.0%
74.4 1
1.0%
74.5 1
1.0%
74.6 1
1.0%
74.8 1
1.0%
75.3 1
1.0%
75.5 1
1.0%
75.8 1
1.0%
ValueCountFrequency (%)
86.5 1
 
1.0%
86.3 1
 
1.0%
85.7 2
2.0%
85.4 3
3.0%
84.9 1
 
1.0%
84.8 3
3.0%
84.7 1
 
1.0%
84.3 1
 
1.0%
84.2 2
2.0%
84.1 1
 
1.0%

최대 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.037
Minimum85
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:06.634141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile88.26
Q191.05
median93.65
Q394.9
95-th percentile97.215
Maximum99
Range14
Interquartile range (IQR)3.85

Descriptive statistics

Standard deviation2.8535873
Coefficient of variation (CV)0.030671532
Kurtosis-0.06554203
Mean93.037
Median Absolute Deviation (MAD)2.05
Skewness-0.36065825
Sum9303.7
Variance8.1429606
MonotonicityNot monotonic
2023-12-10T21:02:06.853099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.0 4
 
4.0%
90.9 3
 
3.0%
95.7 3
 
3.0%
91.6 3
 
3.0%
93.8 3
 
3.0%
94.3 3
 
3.0%
94.9 3
 
3.0%
89.9 3
 
3.0%
93.7 3
 
3.0%
94.1 3
 
3.0%
Other values (55) 69
69.0%
ValueCountFrequency (%)
85.0 1
1.0%
86.1 1
1.0%
86.7 1
1.0%
87.4 1
1.0%
87.5 1
1.0%
88.3 1
1.0%
88.8 2
2.0%
89.2 1
1.0%
89.4 1
1.0%
89.6 2
2.0%
ValueCountFrequency (%)
99.0 1
1.0%
98.5 1
1.0%
98.2 1
1.0%
98.1 1
1.0%
97.5 1
1.0%
97.2 2
2.0%
96.9 1
1.0%
96.7 1
1.0%
96.5 1
1.0%
96.4 1
1.0%

최저 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.163
Minimum57.3
Maximum78.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:07.068235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.3
5-th percentile62.28
Q169.075
median72.1
Q374.25
95-th percentile77.1
Maximum78.3
Range21
Interquartile range (IQR)5.175

Descriptive statistics

Standard deviation4.4064841
Coefficient of variation (CV)0.061921
Kurtosis0.82169183
Mean71.163
Median Absolute Deviation (MAD)2.65
Skewness-0.95966176
Sum7116.3
Variance19.417102
MonotonicityNot monotonic
2023-12-10T21:02:07.268300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.4 4
 
4.0%
75.5 3
 
3.0%
74.9 2
 
2.0%
74.0 2
 
2.0%
67.0 2
 
2.0%
71.7 2
 
2.0%
72.7 2
 
2.0%
71.1 2
 
2.0%
73.3 2
 
2.0%
70.0 2
 
2.0%
Other values (68) 77
77.0%
ValueCountFrequency (%)
57.3 1
1.0%
57.8 1
1.0%
60.1 1
1.0%
61.6 1
1.0%
61.9 1
1.0%
62.3 1
1.0%
63.4 1
1.0%
64.3 1
1.0%
64.6 1
1.0%
65.4 1
1.0%
ValueCountFrequency (%)
78.3 1
1.0%
77.7 1
1.0%
77.4 1
1.0%
77.2 1
1.0%
77.1 2
2.0%
76.7 1
1.0%
76.3 1
1.0%
76.2 1
1.0%
76.1 1
1.0%
75.9 1
1.0%

이슬 점 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.163
Minimum37.8
Maximum76.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:07.477162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.8
5-th percentile42
Q153.4
median62.55
Q371.325
95-th percentile74.41
Maximum76.8
Range39
Interquartile range (IQR)17.925

Descriptive statistics

Standard deviation10.369016
Coefficient of variation (CV)0.16953086
Kurtosis-0.8495843
Mean61.163
Median Absolute Deviation (MAD)8.95
Skewness-0.42827186
Sum6116.3
Variance107.5165
MonotonicityNot monotonic
2023-12-10T21:02:07.694849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.6 2
 
2.0%
74.4 2
 
2.0%
56.2 2
 
2.0%
71.3 2
 
2.0%
62.9 2
 
2.0%
42.0 2
 
2.0%
53.4 2
 
2.0%
72.5 2
 
2.0%
67.9 2
 
2.0%
72.3 2
 
2.0%
Other values (74) 80
80.0%
ValueCountFrequency (%)
37.8 1
1.0%
40.2 1
1.0%
41.5 1
1.0%
41.6 1
1.0%
42.0 2
2.0%
42.5 1
1.0%
42.7 1
1.0%
42.8 1
1.0%
43.5 1
1.0%
43.9 1
1.0%
ValueCountFrequency (%)
76.8 1
1.0%
75.2 1
1.0%
75.0 1
1.0%
74.6 2
2.0%
74.4 2
2.0%
73.6 1
1.0%
73.4 1
1.0%
73.2 1
1.0%
73.1 1
1.0%
73.0 1
1.0%

평균 바람 속도(kn)
Real number (ℝ)

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.815
Minimum3.6
Maximum9.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:07.915555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile3.9
Q15.1
median5.8
Q36.5
95-th percentile7.705
Maximum9.7
Range6.1
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.1630138
Coefficient of variation (CV)0.20000237
Kurtosis0.53621372
Mean5.815
Median Absolute Deviation (MAD)0.7
Skewness0.4423545
Sum581.5
Variance1.352601
MonotonicityNot monotonic
2023-12-10T21:02:08.134797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5.8 6
 
6.0%
6.0 5
 
5.0%
5.4 5
 
5.0%
4.2 4
 
4.0%
5.6 4
 
4.0%
6.3 4
 
4.0%
6.9 4
 
4.0%
7.3 3
 
3.0%
4.9 3
 
3.0%
4.6 3
 
3.0%
Other values (33) 59
59.0%
ValueCountFrequency (%)
3.6 1
 
1.0%
3.7 2
2.0%
3.8 1
 
1.0%
3.9 2
2.0%
4.1 1
 
1.0%
4.2 4
4.0%
4.4 2
2.0%
4.5 1
 
1.0%
4.6 3
3.0%
4.7 2
2.0%
ValueCountFrequency (%)
9.7 1
 
1.0%
8.9 1
 
1.0%
8.1 1
 
1.0%
8.0 1
 
1.0%
7.8 1
 
1.0%
7.7 1
 
1.0%
7.5 1
 
1.0%
7.4 2
2.0%
7.3 3
3.0%
7.2 1
 
1.0%

평균 해면 기압 값(mb)
Real number (ℝ)

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6468.096
Minimum898.1
Maximum9999.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:02:08.334641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum898.1
5-th percentile899.68
Q1961.975
median9999.9
Q39999.9
95-th percentile9999.9
Maximum9999.9
Range9101.8
Interquartile range (IQR)9037.925

Descriptive statistics

Standard deviation4439.3328
Coefficient of variation (CV)0.68634306
Kurtosis-1.8270333
Mean6468.096
Median Absolute Deviation (MAD)0
Skewness-0.45803643
Sum646809.6
Variance19707675
MonotonicityNot monotonic
2023-12-10T21:02:08.543576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
9999.9 61
61.0%
1000.0 4
 
4.0%
900.5 2
 
2.0%
960.8 2
 
2.0%
899.7 2
 
2.0%
961.2 1
 
1.0%
963.2 1
 
1.0%
963.3 1
 
1.0%
962.0 1
 
1.0%
960.0 1
 
1.0%
Other values (24) 24
 
24.0%
ValueCountFrequency (%)
898.1 1
1.0%
898.3 1
1.0%
898.7 1
1.0%
898.8 1
1.0%
899.3 1
1.0%
899.7 2
2.0%
899.8 1
1.0%
900.0 1
1.0%
900.4 1
1.0%
900.5 2
2.0%
ValueCountFrequency (%)
9999.9 61
61.0%
1004.9 1
 
1.0%
1004.2 1
 
1.0%
1000.0 4
 
4.0%
963.3 1
 
1.0%
963.2 1
 
1.0%
963.1 1
 
1.0%
962.7 1
 
1.0%
962.4 1
 
1.0%
962.3 1
 
1.0%

Interactions

2023-12-10T21:02:02.923753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.247000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.177498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.196991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.304061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.335570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.261841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.477931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.061934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.361079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.296591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.354787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.450436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.438257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.394305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.622356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.209276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.505308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.475949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.487970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.604415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.551059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.542784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.795427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.368347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.633249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.610620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.663957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.742981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.662849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.691822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.937980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.513268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.740928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.741190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.785710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.865113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.785522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.888006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:02.071411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.628833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.834559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.848935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.893639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.969296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.878623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.025256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:02.184444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.774852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:55.947515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.972974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.030895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.094908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.005482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.185949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:02.316313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:03.898226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:56.069537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:57.094692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:58.167295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:59.213674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:00.140424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:01.340603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:02:02.789491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:02:08.686919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
관측 일1.0000.0000.5560.1690.6410.5760.3680.485
강수 량(in)0.0001.0000.0000.0000.0000.0000.2540.000
평균 온도(℉)0.5560.0001.0000.7250.8420.4680.2500.585
최대 온도(℉)0.1690.0000.7251.0000.7500.6500.0000.243
최저 온도(℉)0.6410.0000.8420.7501.0000.7440.2620.283
이슬 점 온도(℉)0.5760.0000.4680.6500.7441.0000.2190.511
평균 바람 속도(kn)0.3680.2540.2500.0000.2620.2191.0000.000
평균 해면 기압 값(mb)0.4850.0000.5850.2430.2830.5110.0001.000
2023-12-10T21:02:08.898566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
관측 일1.000-0.504-0.413-0.131-0.685-0.9060.055-0.476
강수 량(in)-0.5041.000-0.043-0.1350.2010.400-0.0330.321
평균 온도(℉)-0.413-0.0431.0000.6310.7710.4960.2130.060
최대 온도(℉)-0.131-0.1350.6311.0000.2580.0820.0280.085
최저 온도(℉)-0.6850.2010.7710.2581.0000.7690.1110.255
이슬 점 온도(℉)-0.9060.4000.4960.0820.7691.000-0.1040.351
평균 바람 속도(kn)0.055-0.0330.2130.0280.111-0.1041.000-0.083
평균 해면 기압 값(mb)-0.4760.3210.0600.0850.2550.351-0.0831.000

Missing values

2023-12-10T21:02:04.056141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:02:04.303185image/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 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
012377618020GV198910020.1683.492.574.974.64.29999.9
112377618020GV198910030.082.593.273.372.36.19999.9
212377618020GV198910040.0381.592.973.772.06.89999.9
312377618020GV198910050.0680.788.872.972.36.79999.9
412377618020GV198910060.0580.389.273.473.67.09999.9
512377618020GV198910070.3181.891.673.073.06.09999.9
612377618020GV198910080.0183.493.877.172.75.59999.9
712377618020GV198910090.7777.790.270.171.65.99999.9
812377618020GV198910100.0681.290.473.472.84.59999.9
912377618020GV198910110.083.195.873.471.73.99999.9
관측 순번관측소 번호국가 코드관측 일강수 량(in)평균 온도(℉)최대 온도(℉)최저 온도(℉)이슬 점 온도(℉)평균 바람 속도(kn)평균 해면 기압 값(mb)
9012377618020GV198912310.076.989.965.754.66.7963.3
9112377618020GV199001010.075.587.566.351.26.1963.2
9212377618020GV199001020.077.489.966.053.86.0961.2
9312377618020GV199001030.074.688.862.347.85.4901.3
9412377618020GV199001040.078.891.166.149.06.9962.1
9512377618020GV199001050.077.689.866.442.07.4961.5
9612377618020GV199001060.085.494.168.942.59.71000.0
9712377618020GV199001070.084.094.169.337.87.31000.0
9812377618020GV199001080.077.690.767.252.33.9960.8
9912377618020GV198910010.0382.991.576.274.45.49999.9