Overview

Dataset statistics

Number of variables10
Number of observations80
Missing cells7
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory87.7 B

Variable types

Categorical4
Numeric6

Dataset

Description경상남도 김해시 스마트예경보시스템 기상관측정보에 대한 데이터로 지역명, 연월, 강우량, 평균기온, 최고기온, 최저기온 등에 대한 데이터로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15091904

Alerts

강우량(㎜) is highly overall correlated with 평균기온(섭씨온도) and 3 other fieldsHigh correlation
평균기온(섭씨온도) is highly overall correlated with 강우량(㎜) and 3 other fieldsHigh correlation
최고기온(섭씨온도) is highly overall correlated with 강우량(㎜) and 3 other fieldsHigh correlation
최저기온(섭씨온도) is highly overall correlated with 강우량(㎜) and 3 other fieldsHigh correlation
평균풍속(미터퍼세크) is highly overall correlated with 순간최대풍속(미터퍼세크)High correlation
순간최대풍속(미터퍼세크) is highly overall correlated with 평균풍속(미터퍼세크)High correlation
연월 is highly overall correlated with 강우량(㎜) and 3 other fieldsHigh correlation
최저기온(섭씨온도) has 7 (8.8%) missing valuesMissing
최저기온(섭씨온도) has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-10 23:22:21.143982
Analysis finished2023-12-10 23:22:24.917820
Duration3.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역명
Categorical

Distinct10
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
주촌AWS
8 
진례AWS
8 
한림AWS
8 
상동AWS
8 
대동AWS
8 
Other values (5)
40 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주촌AWS 8
10.0%
진례AWS 8
10.0%
한림AWS 8
10.0%
상동AWS 8
10.0%
대동AWS 8
10.0%
삼방AWS 8
10.0%
장유AWS 8
10.0%
율하AWS 8
10.0%
전하AWS 8
10.0%
구산AWS 8
10.0%

Length

2023-12-11T08:22:24.984024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:22:25.149543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주촌aws 8
10.0%
진례aws 8
10.0%
한림aws 8
10.0%
상동aws 8
10.0%
대동aws 8
10.0%
삼방aws 8
10.0%
장유aws 8
10.0%
율하aws 8
10.0%
전하aws 8
10.0%
구산aws 8
10.0%

연월
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2021년 1월
10 
2021년 2월
10 
2021년 3월
10 
2021년 4월
10 
2021년 5월
10 
Other values (3)
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021년 1월
2nd row2021년 2월
3rd row2021년 3월
4th row2021년 4월
5th row2021년 5월

Common Values

ValueCountFrequency (%)
2021년 1월 10
12.5%
2021년 2월 10
12.5%
2021년 3월 10
12.5%
2021년 4월 10
12.5%
2021년 5월 10
12.5%
2021년 6월 10
12.5%
2021년 7월 10
12.5%
2021년 8월 10
12.5%

Length

2023-12-11T08:22:25.287799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:22:25.424828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021년 80
50.0%
1월 10
 
6.2%
2월 10
 
6.2%
3월 10
 
6.2%
4월 10
 
6.2%
5월 10
 
6.2%
6월 10
 
6.2%
7월 10
 
6.2%
8월 10
 
6.2%

강우량(㎜)
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.9
Minimum11.5
Maximum523.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T08:22:25.597658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.5
5-th percentile14.5
Q146
median132.75
Q3258.875
95-th percentile456
Maximum523.5
Range512
Interquartile range (IQR)212.875

Descriptive statistics

Standard deviation150.46776
Coefficient of variation (CV)0.85058089
Kurtosis-0.5822846
Mean176.9
Median Absolute Deviation (MAD)87.75
Skewness0.85791026
Sum14152
Variance22640.547
MonotonicityNot monotonic
2023-12-11T08:22:25.742281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.5 3
 
3.8%
456.0 2
 
2.5%
183.0 2
 
2.5%
46.0 2
 
2.5%
111.0 2
 
2.5%
15.5 2
 
2.5%
16.0 2
 
2.5%
187.5 2
 
2.5%
144.0 2
 
2.5%
114.0 2
 
2.5%
Other values (59) 59
73.8%
ValueCountFrequency (%)
11.5 1
 
1.2%
13.5 1
 
1.2%
14.5 3
3.8%
15.5 2
2.5%
16.0 2
2.5%
17.0 1
 
1.2%
29.0 1
 
1.2%
34.5 1
 
1.2%
36.0 1
 
1.2%
37.0 1
 
1.2%
ValueCountFrequency (%)
523.5 1
1.2%
507.0 1
1.2%
473.0 1
1.2%
456.0 2
2.5%
447.5 1
1.2%
439.0 1
1.2%
434.5 1
1.2%
431.0 1
1.2%
429.0 1
1.2%
407.0 1
1.2%

평균기온(섭씨온도)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.1175
Minimum1.3
Maximum28.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T08:22:25.887300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile1.995
Q19.85
median16.85
Q324.275
95-th percentile26.805
Maximum28.1
Range26.8
Interquartile range (IQR)14.425

Descriptive statistics

Standard deviation8.5149872
Coefficient of variation (CV)0.52830694
Kurtosis-1.2843307
Mean16.1175
Median Absolute Deviation (MAD)7.9
Skewness-0.23244216
Sum1289.4
Variance72.505006
MonotonicityNot monotonic
2023-12-11T08:22:26.059042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.2 3
 
3.8%
26.3 3
 
3.8%
14.4 2
 
2.5%
5.8 2
 
2.5%
26.5 2
 
2.5%
18.2 2
 
2.5%
10.8 2
 
2.5%
10.7 2
 
2.5%
14.5 2
 
2.5%
22.5 2
 
2.5%
Other values (53) 58
72.5%
ValueCountFrequency (%)
1.3 1
1.2%
1.7 1
1.2%
1.9 2
2.5%
2.0 1
1.2%
2.4 1
1.2%
3.0 1
1.2%
3.1 1
1.2%
3.4 1
1.2%
4.3 1
1.2%
5.4 1
1.2%
ValueCountFrequency (%)
28.1 1
 
1.2%
27.6 1
 
1.2%
27.0 1
 
1.2%
26.9 1
 
1.2%
26.8 1
 
1.2%
26.6 1
 
1.2%
26.5 2
2.5%
26.3 3
3.8%
26.2 3
3.8%
26.1 2
2.5%

최고기온(섭씨온도)
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.26125
Minimum15.4
Maximum38.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T08:22:26.194759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.4
5-th percentile16.49
Q122.775
median29.4
Q333.75
95-th percentile37.535
Maximum38.7
Range23.3
Interquartile range (IQR)10.975

Descriptive statistics

Standard deviation6.680834
Coefficient of variation (CV)0.23639556
Kurtosis-1.004487
Mean28.26125
Median Absolute Deviation (MAD)5.55
Skewness-0.29262767
Sum2260.9
Variance44.633543
MonotonicityNot monotonic
2023-12-11T08:22:26.352069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.1 3
 
3.8%
22.0 3
 
3.8%
31.6 2
 
2.5%
16.5 2
 
2.5%
35.4 2
 
2.5%
17.3 2
 
2.5%
35.0 2
 
2.5%
23.6 2
 
2.5%
30.5 2
 
2.5%
38.7 2
 
2.5%
Other values (57) 58
72.5%
ValueCountFrequency (%)
15.4 1
1.2%
16.1 1
1.2%
16.2 1
1.2%
16.3 1
1.2%
16.5 2
2.5%
17.0 1
1.2%
17.3 2
2.5%
18.9 1
1.2%
20.6 1
1.2%
21.1 1
1.2%
ValueCountFrequency (%)
38.7 2
2.5%
38.3 1
1.2%
38.2 1
1.2%
37.5 1
1.2%
37.2 1
1.2%
37.1 1
1.2%
36.9 1
1.2%
36.8 1
1.2%
36.3 1
1.2%
36.0 1
1.2%

최저기온(섭씨온도)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct63
Distinct (%)86.3%
Missing7
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean5.4150685
Minimum-13.1
Maximum21.8
Zeros1
Zeros (%)1.2%
Negative26
Negative (%)32.5%
Memory size852.0 B
2023-12-11T08:22:26.519375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.1
5-th percentile-12.36
Q1-5.3
median5.1
Q315.2
95-th percentile20.34
Maximum21.8
Range34.9
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation11.080033
Coefficient of variation (CV)2.0461483
Kurtosis-1.2468467
Mean5.4150685
Median Absolute Deviation (MAD)10.4
Skewness-0.082236254
Sum395.3
Variance122.76713
MonotonicityNot monotonic
2023-12-11T08:22:26.653571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 4
 
5.0%
20.3 2
 
2.5%
4.9 2
 
2.5%
-7.3 2
 
2.5%
20.5 2
 
2.5%
19.3 2
 
2.5%
-13.1 2
 
2.5%
13.6 2
 
2.5%
19.6 1
 
1.2%
14.9 1
 
1.2%
Other values (53) 53
66.2%
(Missing) 7
 
8.8%
ValueCountFrequency (%)
-13.1 2
2.5%
-13.0 1
1.2%
-12.9 1
1.2%
-12.0 1
1.2%
-11.7 1
1.2%
-11.6 1
1.2%
-11.2 1
1.2%
-7.9 1
1.2%
-7.5 1
1.2%
-7.3 2
2.5%
ValueCountFrequency (%)
21.8 1
 
1.2%
20.5 2
2.5%
20.4 1
 
1.2%
20.3 2
2.5%
20.0 4
5.0%
19.8 1
 
1.2%
19.7 1
 
1.2%
19.6 1
 
1.2%
19.3 2
2.5%
19.0 1
 
1.2%

평균풍속(미터퍼세크)
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.51625
Minimum0.3
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T08:22:26.830042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.885
Q11.1
median1.4
Q31.825
95-th percentile2.415
Maximum3
Range2.7
Interquartile range (IQR)0.725

Descriptive statistics

Standard deviation0.53045091
Coefficient of variation (CV)0.34984396
Kurtosis0.31744015
Mean1.51625
Median Absolute Deviation (MAD)0.4
Skewness0.29617589
Sum121.3
Variance0.28137816
MonotonicityNot monotonic
2023-12-11T08:22:27.309316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1.8 11
13.8%
1.1 10
12.5%
1.4 9
11.2%
1.9 7
8.8%
1.3 6
 
7.5%
1.0 5
 
6.2%
1.7 4
 
5.0%
1.2 4
 
5.0%
0.9 4
 
5.0%
2.7 3
 
3.8%
Other values (10) 17
21.2%
ValueCountFrequency (%)
0.3 1
 
1.2%
0.4 2
 
2.5%
0.6 1
 
1.2%
0.9 4
 
5.0%
1.0 5
6.2%
1.1 10
12.5%
1.2 4
 
5.0%
1.3 6
7.5%
1.4 9
11.2%
1.5 2
 
2.5%
ValueCountFrequency (%)
3.0 1
 
1.2%
2.7 3
 
3.8%
2.4 1
 
1.2%
2.2 3
 
3.8%
2.1 2
 
2.5%
2.0 3
 
3.8%
1.9 7
8.8%
1.8 11
13.8%
1.7 4
 
5.0%
1.6 1
 
1.2%

평균풍향(미터퍼세크)
Categorical

Distinct15
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
SW
9 
E
9 
SSE
9 
NW
8 
ESE
7 
Other values (10)
38 

Length

Max length3
Median length2
Mean length2.2625
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st rowNW
2nd rowNW
3rd rowNW
4th rowNE
5th rowSW

Common Values

ValueCountFrequency (%)
SW 9
11.2%
E 9
11.2%
SSE 9
11.2%
NW 8
10.0%
ESE 7
8.8%
SE 7
8.8%
S 5
6.2%
ENE 5
6.2%
SSW 5
6.2%
WNW 4
 
5.0%
Other values (5) 12
15.0%

Length

2023-12-11T08:22:27.488683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
sw 9
11.2%
e 9
11.2%
sse 9
11.2%
nw 8
10.0%
ese 7
8.8%
se 7
8.8%
s 5
6.2%
ene 5
6.2%
ssw 5
6.2%
wnw 4
 
5.0%
Other values (5) 12
15.0%

순간최대풍속(미터퍼세크)
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.13625
Minimum5.8
Maximum15.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2023-12-11T08:22:27.662063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.695
Q18.1
median10.1
Q311.925
95-th percentile13.725
Maximum15.9
Range10.1
Interquartile range (IQR)3.825

Descriptive statistics

Standard deviation2.3904474
Coefficient of variation (CV)0.23583154
Kurtosis-0.81933771
Mean10.13625
Median Absolute Deviation (MAD)1.9
Skewness0.22575422
Sum810.9
Variance5.7142389
MonotonicityNot monotonic
2023-12-11T08:22:27.830039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.7 4
 
5.0%
9.4 3
 
3.8%
13.7 3
 
3.8%
12.4 3
 
3.8%
10.3 2
 
2.5%
8.1 2
 
2.5%
10.4 2
 
2.5%
6.7 2
 
2.5%
12.7 2
 
2.5%
10.5 2
 
2.5%
Other values (45) 55
68.8%
ValueCountFrequency (%)
5.8 1
1.2%
6.2 1
1.2%
6.5 1
1.2%
6.6 1
1.2%
6.7 2
2.5%
6.8 1
1.2%
7.0 1
1.2%
7.1 2
2.5%
7.2 1
1.2%
7.6 1
1.2%
ValueCountFrequency (%)
15.9 1
 
1.2%
15.2 1
 
1.2%
14.3 1
 
1.2%
14.2 1
 
1.2%
13.7 3
3.8%
13.3 2
2.5%
13.2 1
 
1.2%
13.1 1
 
1.2%
12.7 2
2.5%
12.6 1
 
1.2%

순간최대풍향(미터퍼세크)
Categorical

Distinct16
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
SSW
9 
S
8 
W
7 
SSE
7 
E
7 
Other values (11)
42 

Length

Max length3
Median length2
Mean length2.175
Min length1

Unique

Unique2 ?
Unique (%)2.5%

Sample

1st rowW
2nd rowNW
3rd rowESE
4th rowS
5th rowNNW

Common Values

ValueCountFrequency (%)
SSW 9
11.2%
S 8
10.0%
W 7
8.8%
SSE 7
8.8%
E 7
8.8%
NE 6
 
7.5%
SE 6
 
7.5%
ESE 5
 
6.2%
WNW 5
 
6.2%
SW 5
 
6.2%
Other values (6) 15
18.8%

Length

2023-12-11T08:22:28.010402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ssw 9
11.2%
s 8
10.0%
w 7
8.8%
sse 7
8.8%
e 7
8.8%
ne 6
 
7.5%
se 6
 
7.5%
ese 5
 
6.2%
wnw 5
 
6.2%
sw 5
 
6.2%
Other values (6) 15
18.8%

Interactions

2023-12-11T08:22:24.097929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:21.627874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.084696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.531366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.037067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.585662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.178954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:21.725250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.155615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.601567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.114259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.663890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.260021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:21.810070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.217386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.704140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.234988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.740516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.343441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:21.880980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.292281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.784982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.311449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.816560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.429783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:21.951682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.378530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.877447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.411137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.916854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.514528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.016986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.461375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:22.958731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:23.510897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:22:24.008943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:22:28.111687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명연월강우량(㎜)평균기온(섭씨온도)최고기온(섭씨온도)최저기온(섭씨온도)평균풍속(미터퍼세크)평균풍향(미터퍼세크)순간최대풍속(미터퍼세크)순간최대풍향(미터퍼세크)
지역명1.0000.0000.0000.0000.0000.0000.8100.5510.5670.760
연월0.0001.0000.8530.9630.8950.9510.0000.4830.3930.000
강우량(㎜)0.0000.8531.0000.8220.7310.7990.0000.4970.3350.000
평균기온(섭씨온도)0.0000.9630.8221.0000.9270.9840.2920.4920.2560.175
최고기온(섭씨온도)0.0000.8950.7310.9271.0000.8470.1910.2870.4600.000
최저기온(섭씨온도)0.0000.9510.7990.9840.8471.0000.0000.3440.0000.000
평균풍속(미터퍼세크)0.8100.0000.0000.2920.1910.0001.0000.5400.6310.357
평균풍향(미터퍼세크)0.5510.4830.4970.4920.2870.3440.5401.0000.3140.561
순간최대풍속(미터퍼세크)0.5670.3930.3350.2560.4600.0000.6310.3141.0000.425
순간최대풍향(미터퍼세크)0.7600.0000.0000.1750.0000.0000.3570.5610.4251.000
2023-12-11T08:22:28.269387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월지역명평균풍향(미터퍼세크)순간최대풍향(미터퍼세크)
연월1.0000.0000.2130.000
지역명0.0001.0000.2260.403
평균풍향(미터퍼세크)0.2130.2261.0000.214
순간최대풍향(미터퍼세크)0.0000.4030.2141.000
2023-12-11T08:22:28.371118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강우량(㎜)평균기온(섭씨온도)최고기온(섭씨온도)최저기온(섭씨온도)평균풍속(미터퍼세크)순간최대풍속(미터퍼세크)지역명연월평균풍향(미터퍼세크)순간최대풍향(미터퍼세크)
강우량(㎜)1.0000.8240.7860.823-0.363-0.1600.0000.6340.2120.000
평균기온(섭씨온도)0.8241.0000.9620.977-0.370-0.1980.0000.8720.2260.020
최고기온(섭씨온도)0.7860.9621.0000.967-0.453-0.1840.0000.7040.0950.000
최저기온(섭씨온도)0.8230.9770.9671.000-0.344-0.1770.0000.8370.1170.000
평균풍속(미터퍼세크)-0.363-0.370-0.453-0.3441.0000.6860.3730.0000.2190.132
순간최대풍속(미터퍼세크)-0.160-0.198-0.184-0.1770.6861.0000.2010.1930.1070.166
지역명0.0000.0000.0000.0000.3730.2011.0000.0000.2260.403
연월0.6340.8720.7040.8370.0000.1930.0001.0000.2130.000
평균풍향(미터퍼세크)0.2120.2260.0950.1170.2190.1070.2260.2131.0000.214
순간최대풍향(미터퍼세크)0.0000.0200.0000.0000.1320.1660.4030.0000.2141.000

Missing values

2023-12-11T08:22:24.638161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:22:24.845238image/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

지역명연월강우량(㎜)평균기온(섭씨온도)최고기온(섭씨온도)최저기온(섭씨온도)평균풍속(미터퍼세크)평균풍향(미터퍼세크)순간최대풍속(미터퍼세크)순간최대풍향(미터퍼세크)
0주촌AWS2021년 1월11.53.018.9<NA>1.4NW9.2W
1주촌AWS2021년 2월37.07.025.2-5.71.4NW9.3NW
2주촌AWS2021년 3월195.011.925.7-1.01.4NW8.0ESE
3주촌AWS2021년 4월76.515.629.52.91.4NE7.7S
4주촌AWS2021년 5월158.019.333.76.71.3SW11.8NNW
5주촌AWS2021년 6월120.023.634.713.61.0ESE7.1SSE
6주촌AWS2021년 7월380.527.637.5<NA>1.0E7.7SSE
7주촌AWS2021년 8월367.026.138.7<NA>0.9SE8.5E
8진례AWS2021년 1월15.51.316.5-13.11.8NW11.9WNW
9진례AWS2021년 2월38.55.722.0-7.51.9NW13.2WNW
지역명연월강우량(㎜)평균기온(섭씨온도)최고기온(섭씨온도)최저기온(섭씨온도)평균풍속(미터퍼세크)평균풍향(미터퍼세크)순간최대풍속(미터퍼세크)순간최대풍향(미터퍼세크)
70전하AWS2021년 7월447.526.834.820.01.9SE9.9SW
71전하AWS2021년 8월365.026.336.320.51.9SSE15.9SE
72구산AWS2021년 1월15.51.716.3-12.91.1ESE6.5W
73구산AWS2021년 2월34.55.822.1-7.31.0SE6.7ESE
74구산AWS2021년 3월190.510.722.7-0.91.1SSE7.1WNW
75구산AWS2021년 4월75.514.527.43.51.0SSW8.7S
76구산AWS2021년 5월154.018.230.57.50.9SW7.8W
77구산AWS2021년 6월111.022.531.613.61.1SW6.8WSW
78구산AWS2021년 7월367.526.634.620.01.2SW6.2WSW
79구산AWS2021년 8월344.026.336.820.00.9SSW10.3SW