Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory142.0 B

Variable types

Numeric6
DateTime1
Categorical8

Dataset

Description수도권매립지 주변 배출구 측정장소별 대기 환경 연계정보 (2022년) 제공항목은 일련번호, 측정장소ID, 측정일시, 온도,습도,풍향,풍속,황하수소,이산화황,암모니아,휘발성유기화합물,강수량,기압,미세먼지PM10, 초미세먼지PM2.5 관련 데이터 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15121176/fileData.do

Alerts

풍향 has constant value ""Constant
풍속 has constant value ""Constant
이산화황 has constant value ""Constant
휘발성유기화합물 has constant value ""Constant
강수량 has constant value ""Constant
기압 has constant value ""Constant
미세먼지 has constant value ""Constant
초미세먼지 has constant value ""Constant
온도 is highly overall correlated with 습도 and 1 other fieldsHigh correlation
습도 is highly overall correlated with 온도 and 1 other fieldsHigh correlation
암모니아 is highly overall correlated with 온도 and 1 other fieldsHigh correlation
일련번호 has unique valuesUnique
온도 has 7685 (76.8%) zerosZeros
습도 has 7686 (76.9%) zerosZeros
황화수소 has 9529 (95.3%) zerosZeros
암모니아 has 8993 (89.9%) zerosZeros

Reproduction

Analysis started2024-04-17 10:54:12.245223
Analysis finished2024-04-17 10:54:16.542975
Duration4.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.642739 × 1010
Minimum1.6418052 × 1010
Maximum1.6436796 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:16.604183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6418052 × 1010
5-th percentile1.6419045 × 1010
Q11.6422696 × 1010
median1.6427354 × 1010
Q31.6432136 × 1010
95-th percentile1.6435845 × 1010
Maximum1.6436796 × 1010
Range18744010
Interquartile range (IQR)9439511.2

Descriptive statistics

Standard deviation5410176.4
Coefficient of variation (CV)0.00032933876
Kurtosis-1.2113038
Mean1.642739 × 1010
Median Absolute Deviation (MAD)4715997
Skewness0.015852533
Sum1.642739 × 1014
Variance2.9270008 × 1013
MonotonicityNot monotonic
2024-04-17T19:54:16.721998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16420575024 1
 
< 0.1%
16431738021 1
 
< 0.1%
16428756031 1
 
< 0.1%
16427970035 1
 
< 0.1%
16419345032 1
 
< 0.1%
16424583029 1
 
< 0.1%
16433067027 1
 
< 0.1%
16430505035 1
 
< 0.1%
16419156034 1
 
< 0.1%
16424172031 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
16418052024 1
< 0.1%
16418052031 1
< 0.1%
16418055026 1
< 0.1%
16418055034 1
< 0.1%
16418058029 1
< 0.1%
16418058036 1
< 0.1%
16418061025 1
< 0.1%
16418061032 1
< 0.1%
16418061035 1
< 0.1%
16418064031 1
< 0.1%
ValueCountFrequency (%)
16436796034 1
< 0.1%
16436796031 1
< 0.1%
16436796026 1
< 0.1%
16436793034 1
< 0.1%
16436793024 1
< 0.1%
16436790027 1
< 0.1%
16436787033 1
< 0.1%
16436784025 1
< 0.1%
16436781028 1
< 0.1%
16436778035 1
< 0.1%

측정장소
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.4153
Minimum21
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:16.825531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q124
median28
Q332
95-th percentile36
Maximum36
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.5994719
Coefficient of variation (CV)0.16186603
Kurtosis-1.2052984
Mean28.4153
Median Absolute Deviation (MAD)4
Skewness0.02136986
Sum284153
Variance21.155141
MonotonicityNot monotonic
2024-04-17T19:54:16.919798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
24 691
 
6.9%
30 670
 
6.7%
21 648
 
6.5%
32 637
 
6.4%
25 635
 
6.3%
31 629
 
6.3%
26 629
 
6.3%
23 621
 
6.2%
28 616
 
6.2%
22 615
 
6.2%
Other values (6) 3609
36.1%
ValueCountFrequency (%)
21 648
6.5%
22 615
6.2%
23 621
6.2%
24 691
6.9%
25 635
6.3%
26 629
6.3%
27 607
6.1%
28 616
6.2%
29 598
6.0%
30 670
6.7%
ValueCountFrequency (%)
36 603
6.0%
35 610
6.1%
34 596
6.0%
33 595
5.9%
32 637
6.4%
31 629
6.3%
30 670
6.7%
29 598
6.0%
28 616
6.2%
27 607
6.1%

측정일시
Date

Distinct5119
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-10 09:00:00
Maximum2022-02-01 01:40:00
2024-04-17T19:54:17.034169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:17.144444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

온도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct687
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.717509
Minimum0
Maximum23.53
Zeros7685
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:17.291977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.89
Maximum23.53
Range23.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.870906
Coefficient of variation (CV)1.8482554
Kurtosis0.048287268
Mean3.717509
Median Absolute Deviation (MAD)0
Skewness1.3739957
Sum37175.09
Variance47.209349
MonotonicityNot monotonic
2024-04-17T19:54:17.398732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7685
76.8%
14.44 42
 
0.4%
15.94 36
 
0.4%
14.83 25
 
0.2%
14.72 24
 
0.2%
16.06 24
 
0.2%
15.83 23
 
0.2%
14.56 21
 
0.2%
14.94 21
 
0.2%
14.89 20
 
0.2%
Other values (677) 2079
 
20.8%
ValueCountFrequency (%)
0.0 7685
76.8%
9.5 2
 
< 0.1%
9.61 1
 
< 0.1%
9.67 2
 
< 0.1%
9.89 1
 
< 0.1%
10.0 2
 
< 0.1%
10.17 1
 
< 0.1%
10.22 3
 
< 0.1%
10.28 5
 
0.1%
10.33 1
 
< 0.1%
ValueCountFrequency (%)
23.53 1
< 0.1%
23.32 1
< 0.1%
23.02 1
< 0.1%
22.24 1
< 0.1%
22.13 1
< 0.1%
22.12 1
< 0.1%
22.1 1
< 0.1%
21.96 1
< 0.1%
21.94 2
< 0.1%
21.92 1
< 0.1%

습도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct938
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.569351
Minimum0
Maximum93.83
Zeros7686
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:17.502799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile71.905
Maximum93.83
Range93.83
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.599296
Coefficient of variation (CV)1.8865527
Kurtosis0.72291554
Mean13.569351
Median Absolute Deviation (MAD)0
Skewness1.5191024
Sum135693.51
Variance655.32393
MonotonicityNot monotonic
2024-04-17T19:54:17.616482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7686
76.9%
53.4 33
 
0.3%
54.1 31
 
0.3%
53.8 29
 
0.3%
53.9 25
 
0.2%
54.0 21
 
0.2%
54.3 21
 
0.2%
53.6 20
 
0.2%
47.6 20
 
0.2%
53.5 19
 
0.2%
Other values (928) 2095
 
20.9%
ValueCountFrequency (%)
0.0 7686
76.9%
11.4 1
 
< 0.1%
11.9 1
 
< 0.1%
12.2 1
 
< 0.1%
13.2 1
 
< 0.1%
13.9 1
 
< 0.1%
14.6 1
 
< 0.1%
14.9 1
 
< 0.1%
15.3 1
 
< 0.1%
16.7 2
 
< 0.1%
ValueCountFrequency (%)
93.83 1
< 0.1%
93.15 1
< 0.1%
92.7 1
< 0.1%
92.6 1
< 0.1%
92.2 2
< 0.1%
92.0 1
< 0.1%
91.88 1
< 0.1%
91.4 1
< 0.1%
91.3 1
< 0.1%
91.2 2
< 0.1%

풍향
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:17.710052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:17.779813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

풍속
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:17.850789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:17.920247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

황화수소
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42895
Minimum0
Maximum20
Zeros9529
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:18.001617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0259391
Coefficient of variation (CV)4.7230193
Kurtosis23.563077
Mean0.42895
Median Absolute Deviation (MAD)0
Skewness4.8531477
Sum4289.5
Variance4.1044293
MonotonicityNot monotonic
2024-04-17T19:54:18.120624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9529
95.3%
9.0 119
 
1.2%
10.0 81
 
0.8%
7.0 43
 
0.4%
12.0 27
 
0.3%
9.5 25
 
0.2%
6.0 15
 
0.1%
9.2 11
 
0.1%
13.0 9
 
0.1%
9.3 8
 
0.1%
Other values (59) 133
 
1.3%
ValueCountFrequency (%)
0.0 9529
95.3%
0.2 1
 
< 0.1%
0.3 2
 
< 0.1%
0.5 4
 
< 0.1%
0.8 1
 
< 0.1%
1.0 5
 
0.1%
2.0 3
 
< 0.1%
2.2 2
 
< 0.1%
2.3 2
 
< 0.1%
2.8 1
 
< 0.1%
ValueCountFrequency (%)
20.0 1
 
< 0.1%
19.5 1
 
< 0.1%
18.7 1
 
< 0.1%
18.5 1
 
< 0.1%
18.0 1
 
< 0.1%
17.7 1
 
< 0.1%
17.0 1
 
< 0.1%
16.0 3
< 0.1%
15.5 1
 
< 0.1%
15.0 4
< 0.1%

이산화황
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:18.225562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:18.303653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

암모니아
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct186
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.08747
Minimum0
Maximum570
Zeros8993
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-17T19:54:18.383996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46.7
Maximum570
Range570
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.08129
Coefficient of variation (CV)3.9472055
Kurtosis163.43167
Mean5.08747
Median Absolute Deviation (MAD)0
Skewness8.9504487
Sum50874.7
Variance403.25819
MonotonicityNot monotonic
2024-04-17T19:54:18.484909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8993
89.9%
40.0 92
 
0.9%
90.0 81
 
0.8%
5.0 42
 
0.4%
50.0 37
 
0.4%
10.0 31
 
0.3%
55.0 20
 
0.2%
60.0 19
 
0.2%
3.3 15
 
0.1%
6.7 15
 
0.1%
Other values (176) 655
 
6.6%
ValueCountFrequency (%)
0.0 8993
89.9%
2.0 2
 
< 0.1%
2.5 15
 
0.1%
3.3 15
 
0.1%
4.0 6
 
0.1%
4.4 2
 
< 0.1%
5.0 42
 
0.4%
6.0 2
 
< 0.1%
6.7 15
 
0.1%
7.5 7
 
0.1%
ValueCountFrequency (%)
570.0 1
 
< 0.1%
500.0 1
 
< 0.1%
470.0 1
 
< 0.1%
410.0 1
 
< 0.1%
320.0 1
 
< 0.1%
270.0 1
 
< 0.1%
240.0 1
 
< 0.1%
210.0 1
 
< 0.1%
140.0 7
0.1%
135.0 1
 
< 0.1%

휘발성유기화합물
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:18.581091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:18.651218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

강수량
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:18.721234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:18.790582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

기압
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:18.861032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:18.928111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

미세먼지
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:19.001563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:19.069561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

초미세먼지
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-04-17T19:54:19.140553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T19:54:19.209965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

Interactions

2024-04-17T19:54:15.592657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.160221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.675732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.174199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.619756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.077181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.694752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.246964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.778635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.259675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.705957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.174251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.990961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.330529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.855992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.336208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.790236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.261562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:16.057037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.409683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.925469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.401147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.859050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.336075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:16.125622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.484386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.005980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.472328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.925942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.412510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:16.209156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:13.577231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.089263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:14.550525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.006196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T19:54:15.497366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T19:54:19.260010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호측정장소온도습도황화수소암모니아
일련번호1.0000.0000.2660.3760.1210.101
측정장소0.0001.0000.6090.8060.5420.365
온도0.2660.6091.0000.7390.5180.348
습도0.3760.8060.7391.0000.7690.486
황화수소0.1210.5420.5180.7691.0000.000
암모니아0.1010.3650.3480.4860.0001.000
2024-04-17T19:54:19.352810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호측정장소온도습도황화수소암모니아
일련번호1.000-0.004-0.068-0.086-0.052-0.090
측정장소-0.0041.0000.1130.1390.2230.122
온도-0.0680.1131.0000.9720.3380.606
습도-0.0860.1390.9721.0000.4930.545
황화수소-0.0520.2230.3380.4931.0000.105
암모니아-0.0900.1220.6060.5450.1051.000

Missing values

2024-04-17T19:54:16.319545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T19:54:16.475258image/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

일련번호측정장소측정일시온도습도풍향풍속황화수소이산화황암모니아휘발성유기화합물강수량기압미세먼지초미세먼지
1345916420575024242022-01-13 07:05:000.00.0000.000.000000
7995916433043028282022-01-27 17:25:000.00.0000.000.000000
7783116432644028282022-01-27 06:20:000.00.0000.000.000000
5266616427925031312022-01-21 19:15:000.00.0000.000.000000
389016418781023232022-01-11 05:15:0014.5652.89000.0090.000000
5073116427562032322022-01-21 09:10:000.00.0000.000.000000
1028816419981021212022-01-12 14:35:000.00.0000.000.000000
5123616427658025252022-01-21 11:50:000.00.0000.000.000000
1529316420917034342022-01-13 16:35:0015.8138.38000.0052.500000
8169416433367035352022-01-28 02:25:000.00.0000.000.000000
일련번호측정장소측정일시온도습도풍향풍속황화수소이산화황암모니아휘발성유기화합물강수량기압미세먼지초미세먼지
327016418664027272022-01-11 02:00:000.00.0000.000.000000
6934216431051035352022-01-25 10:05:000.00.0000.000.000000
455016418904027272022-01-11 08:40:000.00.0000.000.000000
8325416433661027272022-01-28 10:35:000.00.0000.000.000000
7196616431543035352022-01-25 23:45:000.00.0000.000.000000
241716418505022222022-01-10 21:35:000.00.0000.000.000000
6374716430004024242022-01-24 05:00:000.00.0000.000.000000
3901516425366028282022-01-18 20:10:000.00.0000.000.000000
8782416434519021212022-01-29 10:25:000.00.0000.000.000000
8537916434060024242022-01-28 21:40:000.00.0000.000.000000