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 일 and 2 other fieldsHigh correlation
평균 온도(℉) is highly overall correlated with 관측 일 and 3 other fieldsHigh correlation
최대 온도(℉) is highly overall correlated with 관측 일 and 3 other fieldsHigh correlation
이슬 점 온도(℉) is highly overall correlated with 평균 온도(℉) and 1 other fieldsHigh correlation
관측 일 has unique valuesUnique
강수 량(in) has 49 (49.0%) zerosZeros

Reproduction

Analysis started2023-12-10 12:01:34.760221
Analysis finished2023-12-10 12:01:43.614459
Duration8.85 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
13334
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13334
2nd row13334
3rd row13334
4th row13334
5th row13334

Common Values

ValueCountFrequency (%)
13334 100
100.0%

Length

2023-12-10T21:01:43.693168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:43.802970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13334 100
100.0%

관측소 번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
680010
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row680010
2nd row680010
3rd row680010
4th row680010
5th row680010

Common Values

ValueCountFrequency (%)
680010 100
100.0%

Length

2023-12-10T21:01:43.942480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:44.080856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
680010 100
100.0%

국가 코드
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
WA 100
100.0%

Length

2023-12-10T21:01:44.222554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:01:44.366166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wa 100
100.0%

관측 일
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20079957
Minimum20071229
Maximum20080406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:44.594918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071229
5-th percentile20080103
Q120080123
median20080216
Q320080312
95-th percentile20080401
Maximum20080406
Range9177
Interquartile range (IQR)189.5

Descriptive statistics

Standard deviation1545.2571
Coefficient of variation (CV)7.6955199 × 10-5
Kurtosis29.668468
Mean20079957
Median Absolute Deviation (MAD)95
Skewness-5.5634673
Sum2.0079957 × 109
Variance2387819.5
MonotonicityNot monotonic
2023-12-10T21:01:44.840750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080229 1
 
1.0%
20080101 1
 
1.0%
20080120 1
 
1.0%
20080117 1
 
1.0%
20080116 1
 
1.0%
20080114 1
 
1.0%
20080113 1
 
1.0%
20080109 1
 
1.0%
20080108 1
 
1.0%
20080106 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20071229 1
1.0%
20071230 1
1.0%
20071231 1
1.0%
20080101 1
1.0%
20080102 1
1.0%
20080103 1
1.0%
20080104 1
1.0%
20080105 1
1.0%
20080106 1
1.0%
20080107 1
1.0%
ValueCountFrequency (%)
20080406 1
1.0%
20080405 1
1.0%
20080404 1
1.0%
20080403 1
1.0%
20080402 1
1.0%
20080401 1
1.0%
20080331 1
1.0%
20080330 1
1.0%
20080329 1
1.0%
20080328 1
1.0%

강수 량(in)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1412
Minimum0
Maximum1.48
Zeros49
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:45.042715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.1425
95-th percentile0.63
Maximum1.48
Range1.48
Interquartile range (IQR)0.1425

Descriptive statistics

Standard deviation0.27174438
Coefficient of variation (CV)1.9245353
Kurtosis10.543497
Mean0.1412
Median Absolute Deviation (MAD)0.01
Skewness3.004179
Sum14.12
Variance0.07384501
MonotonicityNot monotonic
2023-12-10T21:01:45.262333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 49
49.0%
0.14 4
 
4.0%
0.06 3
 
3.0%
0.16 3
 
3.0%
0.03 3
 
3.0%
0.01 3
 
3.0%
0.08 3
 
3.0%
0.43 3
 
3.0%
0.09 2
 
2.0%
0.07 2
 
2.0%
Other values (22) 25
25.0%
ValueCountFrequency (%)
0.0 49
49.0%
0.01 3
 
3.0%
0.02 2
 
2.0%
0.03 3
 
3.0%
0.04 1
 
1.0%
0.05 2
 
2.0%
0.06 3
 
3.0%
0.07 2
 
2.0%
0.08 3
 
3.0%
0.09 2
 
2.0%
ValueCountFrequency (%)
1.48 1
 
1.0%
1.42 1
 
1.0%
1.05 1
 
1.0%
0.7 1
 
1.0%
0.63 2
2.0%
0.62 1
 
1.0%
0.49 1
 
1.0%
0.48 1
 
1.0%
0.47 1
 
1.0%
0.43 3
3.0%

평균 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.579
Minimum68
Maximum82.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:45.449012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68
5-th percentile69.585
Q172.275
median74.55
Q376.725
95-th percentile79.8
Maximum82.8
Range14.8
Interquartile range (IQR)4.45

Descriptive statistics

Standard deviation3.1410381
Coefficient of variation (CV)0.042116924
Kurtosis-0.2726747
Mean74.579
Median Absolute Deviation (MAD)2.25
Skewness0.10552155
Sum7457.9
Variance9.8661202
MonotonicityNot monotonic
2023-12-10T21:01:45.968926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.4 4
 
4.0%
72.9 3
 
3.0%
76.5 3
 
3.0%
71.9 3
 
3.0%
77.0 3
 
3.0%
77.4 3
 
3.0%
77.8 3
 
3.0%
73.2 3
 
3.0%
69.6 2
 
2.0%
73.8 2
 
2.0%
Other values (58) 71
71.0%
ValueCountFrequency (%)
68.0 1
1.0%
68.4 1
1.0%
68.5 1
1.0%
68.6 1
1.0%
69.3 1
1.0%
69.6 2
2.0%
69.7 1
1.0%
70.3 1
1.0%
70.7 2
2.0%
70.8 2
2.0%
ValueCountFrequency (%)
82.8 1
1.0%
81.9 1
1.0%
80.8 1
1.0%
80.0 1
1.0%
79.8 2
2.0%
79.7 1
1.0%
79.6 1
1.0%
79.2 1
1.0%
79.1 1
1.0%
78.2 1
1.0%

최대 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.561
Minimum75.6
Maximum93.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:46.178887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.6
5-th percentile78.67
Q183.3
median85.6
Q387.9
95-th percentile91.52
Maximum93.2
Range17.6
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation3.7879633
Coefficient of variation (CV)0.044272078
Kurtosis-0.074713646
Mean85.561
Median Absolute Deviation (MAD)2.3
Skewness-0.31390049
Sum8556.1
Variance14.348666
MonotonicityNot monotonic
2023-12-10T21:01:46.416995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.6 4
 
4.0%
87.2 3
 
3.0%
84.2 3
 
3.0%
84.6 3
 
3.0%
84.3 3
 
3.0%
87.9 3
 
3.0%
80.6 3
 
3.0%
87.3 3
 
3.0%
85.3 2
 
2.0%
83.3 2
 
2.0%
Other values (62) 71
71.0%
ValueCountFrequency (%)
75.6 1
 
1.0%
76.0 1
 
1.0%
77.7 1
 
1.0%
78.0 1
 
1.0%
78.1 1
 
1.0%
78.7 1
 
1.0%
79.6 1
 
1.0%
79.9 1
 
1.0%
80.3 1
 
1.0%
80.6 3
3.0%
ValueCountFrequency (%)
93.2 1
1.0%
93.1 1
1.0%
92.9 1
1.0%
92.0 1
1.0%
91.9 1
1.0%
91.5 1
1.0%
91.2 1
1.0%
90.9 2
2.0%
90.4 2
2.0%
90.1 1
1.0%

최저 온도(℉)
Real number (ℝ)

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.212
Minimum54.6
Maximum68.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:46.651924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.6
5-th percentile59.96
Q162.1
median63.1
Q364.4
95-th percentile66.8
Maximum68.4
Range13.8
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.2125574
Coefficient of variation (CV)0.035002173
Kurtosis1.9047623
Mean63.212
Median Absolute Deviation (MAD)1.2
Skewness-0.63816814
Sum6321.2
Variance4.8954101
MonotonicityNot monotonic
2023-12-10T21:01:46.876298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.1 4
 
4.0%
62.1 4
 
4.0%
62.9 4
 
4.0%
62.4 4
 
4.0%
64.2 4
 
4.0%
62.8 3
 
3.0%
64.0 3
 
3.0%
62.3 3
 
3.0%
63.1 3
 
3.0%
61.5 3
 
3.0%
Other values (46) 65
65.0%
ValueCountFrequency (%)
54.6 1
1.0%
56.8 1
1.0%
58.5 1
1.0%
58.9 1
1.0%
59.2 1
1.0%
60.0 1
1.0%
60.4 1
1.0%
60.7 2
2.0%
60.9 2
2.0%
61.1 2
2.0%
ValueCountFrequency (%)
68.4 1
 
1.0%
67.3 1
 
1.0%
66.9 1
 
1.0%
66.8 3
3.0%
66.6 1
 
1.0%
66.5 1
 
1.0%
66.1 1
 
1.0%
66.0 2
2.0%
65.7 1
 
1.0%
65.6 2
2.0%

이슬 점 온도(℉)
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.99
Minimum38.4
Maximum64.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:47.110739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.4
5-th percentile45.685
Q150.45
median54.35
Q357.95
95-th percentile61.805
Maximum64.8
Range26.4
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.3526827
Coefficient of variation (CV)0.099142113
Kurtosis-0.45887645
Mean53.99
Median Absolute Deviation (MAD)3.8
Skewness-0.24187412
Sum5399
Variance28.651212
MonotonicityNot monotonic
2023-12-10T21:01:47.353174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.2 4
 
4.0%
57.9 2
 
2.0%
61.8 2
 
2.0%
55.6 2
 
2.0%
45.7 2
 
2.0%
52.4 2
 
2.0%
54.3 2
 
2.0%
52.5 2
 
2.0%
54.8 2
 
2.0%
57.6 2
 
2.0%
Other values (76) 78
78.0%
ValueCountFrequency (%)
38.4 1
1.0%
44.2 1
1.0%
44.5 1
1.0%
44.9 1
1.0%
45.4 1
1.0%
45.7 2
2.0%
46.0 1
1.0%
46.1 1
1.0%
46.3 1
1.0%
46.7 1
1.0%
ValueCountFrequency (%)
64.8 1
1.0%
63.6 1
1.0%
63.5 1
1.0%
62.4 1
1.0%
61.9 1
1.0%
61.8 2
2.0%
61.7 1
1.0%
61.1 1
1.0%
61.0 1
1.0%
60.8 1
1.0%

평균 바람 속도(kn)
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.509
Minimum3.1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:47.597982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile4.4
Q15.275
median6.5
Q37.7
95-th percentile9.205
Maximum10.5
Range7.4
Interquartile range (IQR)2.425

Descriptive statistics

Standard deviation1.5040749
Coefficient of variation (CV)0.23107619
Kurtosis-0.48269818
Mean6.509
Median Absolute Deviation (MAD)1.2
Skewness0.18136511
Sum650.9
Variance2.2622414
MonotonicityNot monotonic
2023-12-10T21:01:47.822282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7.7 6
 
6.0%
6.5 5
 
5.0%
5.4 5
 
5.0%
6.0 5
 
5.0%
4.7 4
 
4.0%
7.5 4
 
4.0%
7.0 4
 
4.0%
4.8 4
 
4.0%
6.2 3
 
3.0%
4.4 3
 
3.0%
Other values (36) 57
57.0%
ValueCountFrequency (%)
3.1 1
 
1.0%
3.8 2
2.0%
4.2 1
 
1.0%
4.4 3
3.0%
4.5 1
 
1.0%
4.6 1
 
1.0%
4.7 4
4.0%
4.8 4
4.0%
4.9 3
3.0%
5.0 1
 
1.0%
ValueCountFrequency (%)
10.5 1
1.0%
9.5 1
1.0%
9.4 2
2.0%
9.3 1
1.0%
9.2 1
1.0%
9.1 1
1.0%
8.7 1
1.0%
8.5 1
1.0%
8.3 2
2.0%
8.2 1
1.0%

평균 해면 기압 값(mb)
Real number (ℝ)

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean929.739
Minimum907.9
Maximum935.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:01:48.034496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum907.9
5-th percentile925.895
Q1928.3
median929.85
Q3932.225
95-th percentile934
Maximum935.9
Range28
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation3.6492118
Coefficient of variation (CV)0.0039249851
Kurtosis12.927571
Mean929.739
Median Absolute Deviation (MAD)1.8
Skewness-2.5779268
Sum92973.9
Variance13.316746
MonotonicityNot monotonic
2023-12-10T21:01:48.244978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
928.8 4
 
4.0%
932.6 4
 
4.0%
928.5 4
 
4.0%
931.3 3
 
3.0%
927.6 3
 
3.0%
929.6 3
 
3.0%
933.1 3
 
3.0%
928.3 3
 
3.0%
930.7 3
 
3.0%
929.8 3
 
3.0%
Other values (53) 67
67.0%
ValueCountFrequency (%)
907.9 1
1.0%
919.1 2
2.0%
922.1 1
1.0%
925.8 1
1.0%
925.9 1
1.0%
926.0 1
1.0%
926.3 1
1.0%
926.4 1
1.0%
926.6 1
1.0%
926.9 1
1.0%
ValueCountFrequency (%)
935.9 1
 
1.0%
935.5 1
 
1.0%
934.9 1
 
1.0%
934.6 1
 
1.0%
934.0 3
3.0%
933.6 1
 
1.0%
933.4 1
 
1.0%
933.3 1
 
1.0%
933.2 1
 
1.0%
933.1 3
3.0%

Interactions

2023-12-10T21:01:42.123680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.041807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.987793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.021868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.939398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.224920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.173702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.131603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.266212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.137488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.107626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.133112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.063082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.326763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.291385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.241979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.391196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.242769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.228927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.265218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.476887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.426677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.420409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.381074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.512669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.343457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.352140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.382380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.618473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.546342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.541493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.494337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.642855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.496852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.488316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.490109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.745277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.678050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.664716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.623175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.770766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.635606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.619253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.588962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.864060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.797402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.779428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.749296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:42.903559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.741822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.754806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.698890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:38.982948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.915145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.890758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.851665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:43.082901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:35.883506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:36.897596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:37.816642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:39.108168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:40.050510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.019578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:01:41.985366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:01:48.372595image/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 일1.0000.0000.2970.8300.0000.0000.5080.517
강수 량(in)0.0001.0000.1640.2270.0000.0000.0000.000
평균 온도(℉)0.2970.1641.0000.8980.0000.2130.4750.274
최대 온도(℉)0.8300.2270.8981.0000.0000.0470.4620.354
최저 온도(℉)0.0000.0000.0000.0001.0000.3290.2440.043
이슬 점 온도(℉)0.0000.0000.2130.0470.3291.0000.0000.379
평균 바람 속도(kn)0.5080.0000.4750.4620.2440.0001.0000.357
평균 해면 기압 값(mb)0.5170.0000.2740.3540.0430.3790.3571.000
2023-12-10T21:01:48.558783image/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 일1.000-0.6110.7360.681-0.011-0.490-0.032-0.017
강수 량(in)-0.6111.000-0.619-0.521-0.1140.451-0.048-0.087
평균 온도(℉)0.736-0.6191.0000.9060.264-0.548-0.254-0.054
최대 온도(℉)0.681-0.5210.9061.0000.142-0.551-0.267-0.010
최저 온도(℉)-0.011-0.1140.2640.1421.0000.250-0.109-0.151
이슬 점 온도(℉)-0.4900.451-0.548-0.5510.2501.000-0.148-0.209
평균 바람 속도(kn)-0.032-0.048-0.254-0.267-0.109-0.1481.0000.032
평균 해면 기압 값(mb)-0.017-0.087-0.054-0.010-0.151-0.2090.0321.000

Missing values

2023-12-10T21:01:43.309627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:01:43.543375image/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)
013334680010WA200802290.077.488.165.557.94.8929.4
113334680010WA200804040.078.287.461.538.49.4930.6
213334680010WA200801280.4368.478.161.255.27.1932.6
313334680010WA200802280.077.888.562.946.73.8930.6
413334680010WA200803190.077.887.067.351.87.1933.3
513334680010WA200804030.074.685.460.047.19.3930.4
613334680010WA200801120.1673.284.864.355.18.1932.2
713334680010WA200801270.0468.575.663.961.08.5929.0
813334680010WA200802120.074.784.760.748.56.2930.8
913334680010WA200802270.1674.385.560.457.74.7931.3
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)
9013334680010WA200802200.073.687.661.357.66.9933.0
9113334680010WA200802210.1275.987.964.155.87.7932.3
9213334680010WA200802230.076.589.562.950.64.9933.6
9313334680010WA200802240.076.587.963.958.15.2930.3
9413334680010WA200803010.075.386.265.652.56.7932.7
9513334680010WA200803020.077.487.966.664.87.0907.9
9613334680010WA200803040.075.686.462.358.35.3930.3
9713334680010WA200803050.3977.690.463.648.36.5927.3
9813334680010WA200804060.082.893.162.244.93.1929.6
9913334680010WA200804050.077.287.754.645.77.8926.4