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 온도 and 3 other fieldsHigh correlation
최대 온도 is highly overall correlated with 평균 온도High correlation
최저 온도 is highly overall correlated with 평균 온도 and 1 other fieldsHigh correlation
이슬 점 온도 is highly overall correlated with 평균 온도High correlation
평균 바람 속도 is highly overall correlated with 평균 온도 and 1 other fieldsHigh correlation
관측 일 has unique valuesUnique
강수 량 has 84 (84.0%) zerosZeros
평균 바람 속도 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:06:28.667736
Analysis finished2023-12-10 11:06:41.970911
Duration13.3 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
300405
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300405
2nd row300405
3rd row300405
4th row300405
5th row300405

Common Values

ValueCountFrequency (%)
300405 100
100.0%

Length

2023-12-10T20:06:42.227080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:42.495634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300405 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
786150
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row786150
2nd row786150
3rd row786150
4th row786150
5th row786150

Common Values

ValueCountFrequency (%)
786150 100
100.0%

Length

2023-12-10T20:06:42.791941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:42.963135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
786150 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
GT 100
100.0%

Length

2023-12-10T20:06:43.164715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:06:43.333472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gt 100
100.0%

관측 일
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19730235
Minimum19730101
Maximum19730410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:43.523487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730101
5-th percentile19730106
Q119730126
median19730220
Q319730316
95-th percentile19730405
Maximum19730410
Range309
Interquartile range (IQR)190.5

Descriptive statistics

Standard deviation98.046521
Coefficient of variation (CV)4.9693541 × 10-6
Kurtosis-1.1930186
Mean19730235
Median Absolute Deviation (MAD)95.5
Skewness0.15908349
Sum1.9730235 × 109
Variance9613.1203
MonotonicityStrictly increasing
2023-12-10T20:06:43.764868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19730101 1
 
1.0%
19730306 1
 
1.0%
19730316 1
 
1.0%
19730315 1
 
1.0%
19730314 1
 
1.0%
19730313 1
 
1.0%
19730312 1
 
1.0%
19730311 1
 
1.0%
19730310 1
 
1.0%
19730309 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
19730101 1
1.0%
19730102 1
1.0%
19730103 1
1.0%
19730104 1
1.0%
19730105 1
1.0%
19730106 1
1.0%
19730107 1
1.0%
19730108 1
1.0%
19730109 1
1.0%
19730110 1
1.0%
ValueCountFrequency (%)
19730410 1
1.0%
19730409 1
1.0%
19730408 1
1.0%
19730407 1
1.0%
19730406 1
1.0%
19730405 1
1.0%
19730404 1
1.0%
19730403 1
1.0%
19730402 1
1.0%
19730401 1
1.0%

강수 량
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0523
Minimum0
Maximum1.18
Zeros84
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:43.983547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3905
Maximum1.18
Range1.18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.19405224
Coefficient of variation (CV)3.7103679
Kurtosis21.916517
Mean0.0523
Median Absolute Deviation (MAD)0
Skewness4.5440842
Sum5.23
Variance0.037656273
MonotonicityNot monotonic
2023-12-10T20:06:44.176634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 84
84.0%
0.01 4
 
4.0%
0.03 3
 
3.0%
0.36 1
 
1.0%
0.39 1
 
1.0%
1.14 1
 
1.0%
1.18 1
 
1.0%
0.11 1
 
1.0%
0.41 1
 
1.0%
0.37 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 84
84.0%
0.01 4
 
4.0%
0.03 3
 
3.0%
0.11 1
 
1.0%
0.36 1
 
1.0%
0.37 1
 
1.0%
0.39 1
 
1.0%
0.4 1
 
1.0%
0.41 1
 
1.0%
0.74 1
 
1.0%
ValueCountFrequency (%)
1.18 1
 
1.0%
1.14 1
 
1.0%
0.74 1
 
1.0%
0.41 1
 
1.0%
0.4 1
 
1.0%
0.39 1
 
1.0%
0.37 1
 
1.0%
0.36 1
 
1.0%
0.11 1
 
1.0%
0.03 3
3.0%

평균 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.026
Minimum67.1
Maximum86.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:44.426114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.1
5-th percentile73.165
Q177.5
median79.25
Q381.025
95-th percentile84.205
Maximum86.2
Range19.1
Interquartile range (IQR)3.525

Descriptive statistics

Standard deviation3.3940417
Coefficient of variation (CV)0.042948418
Kurtosis2.2522425
Mean79.026
Median Absolute Deviation (MAD)1.75
Skewness-0.88936799
Sum7902.6
Variance11.519519
MonotonicityNot monotonic
2023-12-10T20:06:44.703838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.5 3
 
3.0%
78.0 3
 
3.0%
78.2 3
 
3.0%
77.4 3
 
3.0%
79.8 3
 
3.0%
77.5 3
 
3.0%
79.9 2
 
2.0%
78.5 2
 
2.0%
81.9 2
 
2.0%
82.0 2
 
2.0%
Other values (63) 74
74.0%
ValueCountFrequency (%)
67.1 2
2.0%
70.2 1
1.0%
71.8 1
1.0%
72.5 1
1.0%
73.2 1
1.0%
74.2 1
1.0%
74.6 1
1.0%
74.8 1
1.0%
74.9 1
1.0%
75.0 1
1.0%
ValueCountFrequency (%)
86.2 1
1.0%
85.6 1
1.0%
85.2 1
1.0%
84.8 1
1.0%
84.3 1
1.0%
84.2 2
2.0%
83.5 1
1.0%
83.3 1
1.0%
83.0 1
1.0%
82.7 1
1.0%

최대 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.679
Minimum71.6
Maximum93.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:44.957263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.6
5-th percentile81.99
Q184.5
median87.1
Q389.625
95-th percentile91.635
Maximum93.3
Range21.7
Interquartile range (IQR)5.125

Descriptive statistics

Standard deviation3.9203766
Coefficient of variation (CV)0.045228678
Kurtosis3.9146197
Mean86.679
Median Absolute Deviation (MAD)2.6
Skewness-1.4106905
Sum8667.9
Variance15.369353
MonotonicityNot monotonic
2023-12-10T20:06:45.249339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.0 4
 
4.0%
90.5 4
 
4.0%
88.1 4
 
4.0%
84.2 3
 
3.0%
88.7 3
 
3.0%
87.3 3
 
3.0%
85.3 3
 
3.0%
89.9 3
 
3.0%
84.5 3
 
3.0%
92.3 2
 
2.0%
Other values (54) 68
68.0%
ValueCountFrequency (%)
71.6 2
2.0%
73.4 1
1.0%
78.8 1
1.0%
81.8 1
1.0%
82.0 2
2.0%
82.1 1
1.0%
82.2 1
1.0%
82.3 1
1.0%
83.1 1
1.0%
83.2 1
1.0%
ValueCountFrequency (%)
93.3 1
 
1.0%
93.2 1
 
1.0%
93.0 1
 
1.0%
92.3 2
2.0%
91.6 1
 
1.0%
91.3 1
 
1.0%
90.9 2
2.0%
90.7 2
2.0%
90.5 4
4.0%
90.4 1
 
1.0%

최저 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.898
Minimum57.4
Maximum79.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:45.490481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.4
5-th percentile64.195
Q167.175
median70.35
Q372.825
95-th percentile75.415
Maximum79.4
Range22
Interquartile range (IQR)5.65

Descriptive statistics

Standard deviation3.8936099
Coefficient of variation (CV)0.055704167
Kurtosis0.43003962
Mean69.898
Median Absolute Deviation (MAD)2.95
Skewness-0.38063454
Sum6989.8
Variance15.160198
MonotonicityNot monotonic
2023-12-10T20:06:45.739483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.2 3
 
3.0%
71.6 3
 
3.0%
73.5 3
 
3.0%
70.8 3
 
3.0%
77.0 2
 
2.0%
71.3 2
 
2.0%
67.2 2
 
2.0%
67.8 2
 
2.0%
74.2 2
 
2.0%
67.9 2
 
2.0%
Other values (63) 76
76.0%
ValueCountFrequency (%)
57.4 1
1.0%
59.0 1
1.0%
62.5 1
1.0%
62.6 1
1.0%
64.1 1
1.0%
64.2 1
1.0%
64.4 2
2.0%
64.7 1
1.0%
65.2 1
1.0%
65.4 1
1.0%
ValueCountFrequency (%)
79.4 1
1.0%
77.0 2
2.0%
76.0 1
1.0%
75.7 1
1.0%
75.4 1
1.0%
75.3 1
1.0%
75.2 1
1.0%
75.0 1
1.0%
74.4 2
2.0%
74.3 1
1.0%

이슬 점 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.312
Minimum58.1
Maximum73.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:45.969172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile60.96
Q164.475
median66.15
Q368.55
95-th percentile71.21
Maximum73.7
Range15.6
Interquartile range (IQR)4.075

Descriptive statistics

Standard deviation3.2070087
Coefficient of variation (CV)0.048362419
Kurtosis-0.19679296
Mean66.312
Median Absolute Deviation (MAD)1.95
Skewness-0.094209199
Sum6631.2
Variance10.284905
MonotonicityNot monotonic
2023-12-10T20:06:46.207279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.0 3
 
3.0%
65.4 3
 
3.0%
68.8 3
 
3.0%
64.5 3
 
3.0%
67.3 3
 
3.0%
61.9 2
 
2.0%
66.3 2
 
2.0%
66.5 2
 
2.0%
67.8 2
 
2.0%
70.6 2
 
2.0%
Other values (59) 75
75.0%
ValueCountFrequency (%)
58.1 1
1.0%
59.3 1
1.0%
59.9 1
1.0%
60.0 1
1.0%
60.2 1
1.0%
61.0 1
1.0%
61.2 1
1.0%
61.7 1
1.0%
61.9 2
2.0%
62.0 1
1.0%
ValueCountFrequency (%)
73.7 1
1.0%
73.1 1
1.0%
72.2 1
1.0%
72.0 1
1.0%
71.4 1
1.0%
71.2 2
2.0%
70.8 2
2.0%
70.7 1
1.0%
70.6 2
2.0%
70.4 2
2.0%

평균 바람 속도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.499
Minimum0
Maximum13.8
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:46.497428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.08
Q15.675
median7.45
Q39.425
95-th percentile11.71
Maximum13.8
Range13.8
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.5510345
Coefficient of variation (CV)0.34018328
Kurtosis0.26951965
Mean7.499
Median Absolute Deviation (MAD)1.9
Skewness-0.23768926
Sum749.9
Variance6.5077768
MonotonicityNot monotonic
2023-12-10T20:06:46.775123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 3
 
3.0%
9.0 3
 
3.0%
8.5 3
 
3.0%
9.9 3
 
3.0%
6.3 3
 
3.0%
4.2 3
 
3.0%
4.9 3
 
3.0%
5.3 3
 
3.0%
10.4 3
 
3.0%
7.9 3
 
3.0%
Other values (47) 70
70.0%
ValueCountFrequency (%)
0.0 2
2.0%
2.5 1
 
1.0%
3.6 1
 
1.0%
3.7 1
 
1.0%
4.1 1
 
1.0%
4.2 3
3.0%
4.6 2
2.0%
4.8 2
2.0%
4.9 3
3.0%
5.0 1
 
1.0%
ValueCountFrequency (%)
13.8 1
 
1.0%
12.3 1
 
1.0%
12.0 1
 
1.0%
11.9 2
2.0%
11.7 1
 
1.0%
11.1 1
 
1.0%
10.8 2
2.0%
10.5 1
 
1.0%
10.4 3
3.0%
10.2 2
2.0%

평균 해면 기압 값
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean934.137
Minimum737.1
Maximum1017.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:06:47.137529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum737.1
5-th percentile840.785
Q1884.2
median953.45
Q3977.225
95-th percentile1003.29
Maximum1017.8
Range280.7
Interquartile range (IQR)93.025

Descriptive statistics

Standard deviation61.998211
Coefficient of variation (CV)0.066369505
Kurtosis1.4123847
Mean934.137
Median Absolute Deviation (MAD)27.9
Skewness-1.2686609
Sum93413.7
Variance3843.7781
MonotonicityNot monotonic
2023-12-10T20:06:47.595702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
963.8 3
 
3.0%
962.1 2
 
2.0%
972.2 2
 
2.0%
952.0 2
 
2.0%
947.3 2
 
2.0%
927.9 1
 
1.0%
876.5 1
 
1.0%
981.8 1
 
1.0%
981.5 1
 
1.0%
883.5 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
737.1 1
1.0%
737.4 1
1.0%
758.8 1
1.0%
759.6 1
1.0%
789.2 1
1.0%
843.5 1
1.0%
854.7 1
1.0%
854.9 1
1.0%
859.8 1
1.0%
861.0 1
1.0%
ValueCountFrequency (%)
1017.8 1
1.0%
1014.7 1
1.0%
1012.8 1
1.0%
1012.1 1
1.0%
1010.7 1
1.0%
1002.9 1
1.0%
1002.7 1
1.0%
1002.0 1
1.0%
990.8 1
1.0%
990.3 1
1.0%

Interactions

2023-12-10T20:06:39.642179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:29.192962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.932890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.231689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:33.744993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.175597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.584333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.020066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:39.806112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:29.737729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.109105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.403634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:33.886982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.332005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.787650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.192391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:40.387025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:29.901422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.257866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.591488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:34.105033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.506824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.996243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.355960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:40.558479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.088809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.434335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.766615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:34.257352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.706702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:37.195211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.557450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:40.688565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.225785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.565016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.922579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:34.429261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.854468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:37.345747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.720200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:40.841346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.385417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.711667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:33.201816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:34.574375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.005523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:37.494380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:38.976653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:41.042536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.562572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:31.904666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:33.382248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:34.737502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.233422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:37.673163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:39.178761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:41.263420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:30.765453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:32.068279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:33.567744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:35.005059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:36.399700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:37.867923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:06:39.475093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:06:47.779846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.0000.0000.4490.1170.1580.0660.396
강수 량0.0001.0000.2390.6970.0000.1520.5670.728
평균 온도0.0000.2391.0000.7420.6220.7350.7900.174
최대 온도0.4490.6970.7421.0000.2390.2790.7450.000
최저 온도0.1170.0000.6220.2391.0000.6210.3820.000
이슬 점 온도0.1580.1520.7350.2790.6211.0000.5440.068
평균 바람 속도0.0660.5670.7900.7450.3820.5441.0000.000
평균 해면 기압 값0.3960.7280.1740.0000.0000.0680.0001.000
2023-12-10T20:06:47.988509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
관측 일1.0000.1360.1390.3050.0260.227-0.123-0.126
강수 량0.1361.000-0.259-0.023-0.1200.036-0.1340.084
평균 온도0.139-0.2591.0000.6050.6930.5690.519-0.196
최대 온도0.305-0.0230.6051.0000.2150.3680.163-0.179
최저 온도0.026-0.1200.6930.2151.0000.4900.513-0.057
이슬 점 온도0.2270.0360.5690.3680.4901.0000.2400.011
평균 바람 속도-0.123-0.1340.5190.1630.5130.2401.000-0.188
평균 해면 기압 값-0.1260.084-0.196-0.179-0.0570.011-0.1881.000

Missing values

2023-12-10T20:06:41.513163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:06:41.825943image/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
0300405786150GT197301010.085.292.377.071.412.0927.9
1300405786150GT197301020.082.087.877.071.29.9898.3
2300405786150GT197301030.084.890.779.472.29.9950.4
3300405786150GT197301040.080.284.275.272.09.2977.3
4300405786150GT197301050.081.590.074.466.47.4949.7
5300405786150GT197301060.079.386.066.269.35.4861.1
6300405786150GT197301070.081.286.066.268.07.9976.8
7300405786150GT197301080.080.183.375.773.710.41014.7
8300405786150GT197301090.0376.282.067.160.27.3949.8
9300405786150GT197301100.076.684.467.665.99.6950.3
관측 순번관측소 번호국가 코드관측 일강수 량평균 온도최대 온도최저 온도이슬 점 온도평균 바람 속도평균 해면 기압 값
90300405786150GT197304010.077.488.167.969.83.6990.3
91300405786150GT197304020.080.786.173.570.47.0963.7
92300405786150GT197304030.079.289.167.167.34.9976.9
93300405786150GT197304040.079.986.873.170.77.7789.2
94300405786150GT197304050.0178.586.871.968.77.2965.1
95300405786150GT197304060.477.288.468.668.24.8935.6
96300405786150GT197304070.0178.983.571.568.510.2867.6
97300405786150GT197304080.077.087.367.666.04.8901.2
98300405786150GT197304090.077.487.364.765.36.0990.8
99300405786150GT197304100.078.788.166.567.15.2901.4