Overview

Dataset statistics

Number of variables64
Number of observations10000
Missing cells256232
Missing cells (%)40.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory577.0 B

Variable types

Categorical8
Text2
Numeric50
Unsupported3
DateTime1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15969/S/1/datasetView.do

Alerts

모델번호 has constant value ""Constant
이산화황 최소(ppm) is highly imbalanced (83.0%)Imbalance
암모니아 최대(ppm) is highly imbalanced (75.0%)Imbalance
암모니아 평균(ppm) is highly imbalanced (75.0%)Imbalance
암모니아 최소(ppm) is highly imbalanced (75.0%)Imbalance
온도 최대(℃) has 548 (5.5%) missing valuesMissing
온도 평균(℃) has 548 (5.5%) missing valuesMissing
온도 최소(℃) has 548 (5.5%) missing valuesMissing
습도 최대(%) has 548 (5.5%) missing valuesMissing
습도 평균(%) has 548 (5.5%) missing valuesMissing
습도 최소(%) has 548 (5.5%) missing valuesMissing
풍속 최대(m/s) has 9489 (94.9%) missing valuesMissing
풍속 평균(m/s) has 9489 (94.9%) missing valuesMissing
풍속 최소(m/s) has 9489 (94.9%) missing valuesMissing
풍향 최대(m/s) has 9489 (94.9%) missing valuesMissing
풍향 평균(m/s) has 9489 (94.9%) missing valuesMissing
풍향 최소(m/s) has 9489 (94.9%) missing valuesMissing
조도 최대(lux) has 2054 (20.5%) missing valuesMissing
조도 평균(lux) has 2054 (20.5%) missing valuesMissing
조도 최소(lux) has 2054 (20.5%) missing valuesMissing
자외선 최대(UV) has 1956 (19.6%) missing valuesMissing
자외선 평균(UV) has 1956 (19.6%) missing valuesMissing
자외선 최대(UV).1 has 1956 (19.6%) missing valuesMissing
소음 최대(dB) has 274 (2.7%) missing valuesMissing
소음 평균(dB) has 274 (2.7%) missing valuesMissing
소음 최소(dB) has 274 (2.7%) missing valuesMissing
진동(x) 최대(mm/s) has 2139 (21.4%) missing valuesMissing
진동(x) 평균(mm/s) has 2139 (21.4%) missing valuesMissing
진동(x) 최소(mm/s) has 2139 (21.4%) missing valuesMissing
진동(y) 최대(mm/s) has 2139 (21.4%) missing valuesMissing
진동(y) 평균(mm/s) has 2139 (21.4%) missing valuesMissing
진동(y) 최소(mm/s) has 2139 (21.4%) missing valuesMissing
진동(z) 최대(mm/s) has 2139 (21.4%) missing valuesMissing
진동(z) 평균(mm/s) has 2139 (21.4%) missing valuesMissing
진동(z) 최소(mm/s) has 2139 (21.4%) missing valuesMissing
흑구온도 최대(℃) has 10000 (100.0%) missing valuesMissing
흑구온도 평균(℃) has 10000 (100.0%) missing valuesMissing
흑구온도 최소(℃) has 10000 (100.0%) missing valuesMissing
이산화질소 최대(ppm) has 9439 (94.4%) missing valuesMissing
이산화질소 평균(ppm) has 9439 (94.4%) missing valuesMissing
이산화질소 최소(ppm) has 9439 (94.4%) missing valuesMissing
일산화탄소 최대(ppm) has 9439 (94.4%) missing valuesMissing
일산화탄소 평균(ppm) has 9439 (94.4%) missing valuesMissing
일산화탄소 최소(ppm) has 9439 (94.4%) missing valuesMissing
이산화황 최대(ppm) has 9439 (94.4%) missing valuesMissing
이산화황 평균(ppm) has 9439 (94.4%) missing valuesMissing
황화수소 최대(ppm) has 9583 (95.8%) missing valuesMissing
황화수소 평균(ppm) has 9583 (95.8%) missing valuesMissing
황화수소 최소(ppm) has 9583 (95.8%) missing valuesMissing
오존 최대(ppm) has 9772 (97.7%) missing valuesMissing
오존 평균(ppm) has 9772 (97.7%) missing valuesMissing
오존 최소(ppm) has 9772 (97.7%) missing valuesMissing
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 22.2038292)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 25.8226827)Skewed
흑구온도 최대(℃) is an unsupported type, check if it needs cleaning or further analysisUnsupported
흑구온도 평균(℃) is an unsupported type, check if it needs cleaning or further analysisUnsupported
흑구온도 최소(℃) is an unsupported type, check if it needs cleaning or further analysisUnsupported
초미세먼지 최대(㎍/㎥) has 258 (2.6%) zerosZeros
초미세먼지 평균(㎍/㎥) has 258 (2.6%) zerosZeros
초미세먼지 최소(㎍/㎥) has 260 (2.6%) zerosZeros
온도 최대(℃) has 246 (2.5%) zerosZeros
온도 평균(℃) has 276 (2.8%) zerosZeros
온도 최소(℃) has 307 (3.1%) zerosZeros
조도 최대(lux) has 3557 (35.6%) zerosZeros
조도 평균(lux) has 3593 (35.9%) zerosZeros
조도 최소(lux) has 4021 (40.2%) zerosZeros
자외선 최대(UV) has 5852 (58.5%) zerosZeros
자외선 평균(UV) has 6131 (61.3%) zerosZeros
자외선 최대(UV).1 has 6507 (65.1%) zerosZeros
진동(x) 최소(mm/s) has 304 (3.0%) zerosZeros
황화수소 최대(ppm) has 353 (3.5%) zerosZeros
황화수소 평균(ppm) has 383 (3.8%) zerosZeros
황화수소 최소(ppm) has 399 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 09:10:37.004387
Analysis finished2024-05-11 09:10:39.832585
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모델번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
SDOT001
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSDOT001
2nd rowSDOT001
3rd rowSDOT001
4th rowSDOT001
5th rowSDOT001

Common Values

ValueCountFrequency (%)
SDOT001 10000
100.0%

Length

2024-05-11T09:10:40.107617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:10:40.648983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 10000
100.0%

시리얼
Text

Distinct1045
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:10:41.775032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110000
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowV02Q1940694
2nd rowV02Q1940765
3rd rowV02Q1940161
4th rowV02Q1940500
5th rowOC3CL200020
ValueCountFrequency (%)
v02q1940878 15
 
0.1%
v02q1940199 15
 
0.1%
v02q1940508 14
 
0.1%
oc3cl200043 14
 
0.1%
v02q1940324 14
 
0.1%
v02q1940875 14
 
0.1%
v02q1940349 14
 
0.1%
v02q1940344 14
 
0.1%
v02q1940066 14
 
0.1%
v02q1940536 14
 
0.1%
Other values (1035) 9858
98.6%
2024-05-11T09:10:43.545103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23407
21.3%
2 13423
12.2%
1 11553
10.5%
4 10535
9.6%
9 9507
8.6%
V 7552
 
6.9%
Q 7552
 
6.9%
3 5380
 
4.9%
C 4819
 
4.4%
5 2987
 
2.7%
Other values (6) 13285
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85104
77.4%
Uppercase Letter 24896
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23407
27.5%
2 13423
15.8%
1 11553
13.6%
4 10535
12.4%
9 9507
11.2%
3 5380
 
6.3%
5 2987
 
3.5%
6 2818
 
3.3%
7 2817
 
3.3%
8 2677
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 7552
30.3%
Q 7552
30.3%
C 4819
19.4%
O 2448
 
9.8%
L 2448
 
9.8%
D 77
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 85104
77.4%
Latin 24896
 
22.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23407
27.5%
2 13423
15.8%
1 11553
13.6%
4 10535
12.4%
9 9507
11.2%
3 5380
 
6.3%
5 2987
 
3.5%
6 2818
 
3.3%
7 2817
 
3.3%
8 2677
 
3.1%
Latin
ValueCountFrequency (%)
V 7552
30.3%
Q 7552
30.3%
C 4819
19.4%
O 2448
 
9.8%
L 2448
 
9.8%
D 77
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23407
21.3%
2 13423
12.2%
1 11553
10.5%
4 10535
9.6%
9 9507
8.6%
V 7552
 
6.9%
Q 7552
 
6.9%
3 5380
 
4.9%
C 4819
 
4.4%
5 2987
 
2.7%
Other values (6) 13285
12.1%

측정시간
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-25_01:07:00
1368 
2023-12-25_12:07:00
1364 
2023-12-25_03:07:00
828 
2023-12-25_02:07:00
773 
2023-12-25_08:07:00
734 
Other values (7)
4933 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-25_09:07:00
2nd row2023-12-25_12:07:00
3rd row2023-12-25_07:07:00
4th row2023-12-25_03:07:00
5th row2023-12-25_03:07:00

Common Values

ValueCountFrequency (%)
2023-12-25_01:07:00 1368
13.7%
2023-12-25_12:07:00 1364
13.6%
2023-12-25_03:07:00 828
8.3%
2023-12-25_02:07:00 773
7.7%
2023-12-25_08:07:00 734
7.3%
2023-12-25_06:07:00 725
7.2%
2023-12-25_11:07:00 713
7.1%
2023-12-25_04:07:00 707
7.1%
2023-12-25_09:07:00 699
7.0%
2023-12-25_05:07:00 699
7.0%
Other values (2) 1390
13.9%

Length

2024-05-11T09:10:44.018507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-12-25_01:07:00 1368
13.7%
2023-12-25_12:07:00 1364
13.6%
2023-12-25_03:07:00 828
8.3%
2023-12-25_02:07:00 773
7.7%
2023-12-25_08:07:00 734
7.3%
2023-12-25_06:07:00 725
7.2%
2023-12-25_11:07:00 713
7.1%
2023-12-25_04:07:00 707
7.1%
2023-12-25_09:07:00 699
7.0%
2023-12-25_05:07:00 699
7.0%
Other values (2) 1390
13.9%

지역
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
residential_area
7009 
roads_and_parks
1253 
traditional_markets
 
478
industrial_area
 
396
main_street
 
395
Other values (3)
 
469

Length

Max length19
Median length16
Mean length15.6589
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowresidential_area
2nd rowresidential_area
3rd rowresidential_area
4th rowresidential_area
5th rowmain_street

Common Values

ValueCountFrequency (%)
residential_area 7009
70.1%
roads_and_parks 1253
 
12.5%
traditional_markets 478
 
4.8%
industrial_area 396
 
4.0%
main_street 395
 
4.0%
commercial_area 323
 
3.2%
parks 87
 
0.9%
public_facilities 59
 
0.6%

Length

2024-05-11T09:10:44.390136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:10:44.739958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 7009
70.1%
roads_and_parks 1253
 
12.5%
traditional_markets 478
 
4.8%
industrial_area 396
 
4.0%
main_street 395
 
4.0%
commercial_area 323
 
3.2%
parks 87
 
0.9%
public_facilities 59
 
0.6%

자치구
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Yangcheon-gu
797 
Mapo-gu
708 
Gangdong-gu
697 
Gwanak-gu
 
644
Seongdong-gu
 
638
Other values (21)
6516 

Length

Max length16
Median length13
Mean length10.112
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGwanak-gu
2nd rowYangcheon-gu
3rd rowGangnam-gu
4th rowJung-gu
5th rowGangnam-gu

Common Values

ValueCountFrequency (%)
Yangcheon-gu 797
 
8.0%
Mapo-gu 708
 
7.1%
Gangdong-gu 697
 
7.0%
Gwanak-gu 644
 
6.4%
Seongdong-gu 638
 
6.4%
Jongno-gu 508
 
5.1%
Gangseo-gu 448
 
4.5%
Jung-gu 421
 
4.2%
Songpa-gu 409
 
4.1%
Gangnam-gu 406
 
4.1%
Other values (16) 4324
43.2%

Length

2024-05-11T09:10:45.271643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 797
 
8.0%
mapo-gu 708
 
7.1%
gangdong-gu 697
 
7.0%
gwanak-gu 644
 
6.4%
seongdong-gu 638
 
6.4%
jongno-gu 508
 
5.1%
gangseo-gu 448
 
4.5%
jung-gu 421
 
4.2%
songpa-gu 409
 
4.1%
gangnam-gu 406
 
4.1%
Other values (16) 4324
43.2%

행정동
Text

Distinct405
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:10:45.798267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.519
Min length7

Characters and Unicode

Total characters125190
Distinct characters52
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCheongnyong-dong
2nd rowSinjeong7-dong
3rd rowApgujeong-dong
4th rowDonghwa-dong
5th rowYeoksam1-dong
ValueCountFrequency (%)
amsa1-dong 111
 
1.1%
cheonho2-dong 105
 
1.1%
mok5-dong 89
 
0.9%
mangwon-dong1 87
 
0.9%
ihwa-dong 84
 
0.8%
seongsan-dong2 83
 
0.8%
sinllim-dong 81
 
0.8%
sinjeong3-dong 77
 
0.8%
sinjeong4-dong 72
 
0.7%
mok2-dong 71
 
0.7%
Other values (395) 9140
91.4%
2024-05-11T09:10:47.015436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 20573
16.4%
o 17533
14.0%
g 17397
13.9%
- 10673
 
8.5%
d 10621
 
8.5%
a 7132
 
5.7%
e 5073
 
4.1%
S 2827
 
2.3%
i 2534
 
2.0%
h 2431
 
1.9%
Other values (42) 28396
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 97306
77.7%
Dash Punctuation 10673
 
8.5%
Uppercase Letter 10044
 
8.0%
Decimal Number 6816
 
5.4%
Other Punctuation 333
 
0.3%
Connector Punctuation 18
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 20573
21.1%
o 17533
18.0%
g 17397
17.9%
d 10621
10.9%
a 7132
 
7.3%
e 5073
 
5.2%
i 2534
 
2.6%
h 2431
 
2.5%
u 2336
 
2.4%
m 1533
 
1.6%
Other values (12) 10143
10.4%
Uppercase Letter
ValueCountFrequency (%)
S 2827
28.1%
G 999
 
9.9%
M 894
 
8.9%
J 824
 
8.2%
B 768
 
7.6%
H 668
 
6.7%
C 636
 
6.3%
D 626
 
6.2%
Y 579
 
5.8%
I 343
 
3.4%
Other values (7) 880
 
8.8%
Decimal Number
ValueCountFrequency (%)
1 2391
35.1%
2 2154
31.6%
3 1027
15.1%
4 612
 
9.0%
5 243
 
3.6%
7 169
 
2.5%
6 150
 
2.2%
8 48
 
0.7%
0 12
 
0.2%
9 10
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10673
100.0%
Other Punctuation
ValueCountFrequency (%)
. 333
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 107350
85.7%
Common 17840
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 20573
19.2%
o 17533
16.3%
g 17397
16.2%
d 10621
9.9%
a 7132
 
6.6%
e 5073
 
4.7%
S 2827
 
2.6%
i 2534
 
2.4%
h 2431
 
2.3%
u 2336
 
2.2%
Other values (29) 18893
17.6%
Common
ValueCountFrequency (%)
- 10673
59.8%
1 2391
 
13.4%
2 2154
 
12.1%
3 1027
 
5.8%
4 612
 
3.4%
. 333
 
1.9%
5 243
 
1.4%
7 169
 
0.9%
6 150
 
0.8%
8 48
 
0.3%
Other values (3) 40
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 20573
16.4%
o 17533
14.0%
g 17397
13.9%
- 10673
 
8.5%
d 10621
 
8.5%
a 7132
 
5.7%
e 5073
 
4.1%
S 2827
 
2.3%
i 2534
 
2.0%
h 2431
 
1.9%
Other values (42) 28396
22.7%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct182
Distinct (%)1.8%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean26.490297
Minimum0
Maximum1000
Zeros258
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:47.652858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median22
Q333
95-th percentile55
Maximum1000
Range1000
Interquartile range (IQR)20

Descriptive statistics

Standard deviation42.745577
Coefficient of variation (CV)1.6136315
Kurtosis306.02278
Mean26.490297
Median Absolute Deviation (MAD)10
Skewness15.129497
Sum263446
Variance1827.1844
MonotonicityNot monotonic
2024-05-11T09:10:48.126170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1140
 
11.4%
19 302
 
3.0%
18 293
 
2.9%
23 282
 
2.8%
21 281
 
2.8%
22 279
 
2.8%
24 278
 
2.8%
17 265
 
2.6%
27 258
 
2.6%
0 258
 
2.6%
Other values (172) 6309
63.1%
ValueCountFrequency (%)
0 258
 
2.6%
1 49
 
0.5%
2 1140
11.4%
3 118
 
1.2%
4 72
 
0.7%
5 84
 
0.8%
6 67
 
0.7%
7 65
 
0.7%
8 75
 
0.8%
9 107
 
1.1%
ValueCountFrequency (%)
1000 9
0.1%
962 1
 
< 0.1%
858 1
 
< 0.1%
634 1
 
< 0.1%
626 1
 
< 0.1%
611 1
 
< 0.1%
577 1
 
< 0.1%
572 1
 
< 0.1%
489 1
 
< 0.1%
459 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct127
Distinct (%)1.3%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean21.987733
Minimum0
Maximum1000
Zeros258
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:48.695102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median20
Q329
95-th percentile47
Maximum1000
Range1000
Interquartile range (IQR)18

Descriptive statistics

Standard deviation31.317645
Coefficient of variation (CV)1.4243235
Kurtosis673.3982
Mean21.987733
Median Absolute Deviation (MAD)9
Skewness22.203829
Sum218668
Variance980.7949
MonotonicityNot monotonic
2024-05-11T09:10:49.286318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 940
 
9.4%
20 343
 
3.4%
16 339
 
3.4%
17 337
 
3.4%
2 329
 
3.3%
18 308
 
3.1%
21 298
 
3.0%
22 296
 
3.0%
19 293
 
2.9%
23 283
 
2.8%
Other values (117) 6179
61.8%
ValueCountFrequency (%)
0 258
 
2.6%
1 940
9.4%
2 329
 
3.3%
3 104
 
1.0%
4 71
 
0.7%
5 93
 
0.9%
6 67
 
0.7%
7 79
 
0.8%
8 133
 
1.3%
9 131
 
1.3%
ValueCountFrequency (%)
1000 7
0.1%
405 1
 
< 0.1%
380 1
 
< 0.1%
322 1
 
< 0.1%
244 1
 
< 0.1%
238 1
 
< 0.1%
228 1
 
< 0.1%
212 1
 
< 0.1%
206 1
 
< 0.1%
204 1
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)1.0%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19.449271
Minimum0
Maximum1000
Zeros260
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:49.908288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median17
Q326
95-th percentile42
Maximum1000
Range1000
Interquartile range (IQR)16

Descriptive statistics

Standard deviation29.56273
Coefficient of variation (CV)1.5199917
Kurtosis849.89918
Mean19.449271
Median Absolute Deviation (MAD)8
Skewness25.822683
Sum193423
Variance873.95501
MonotonicityNot monotonic
2024-05-11T09:10:50.542279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1231
 
12.3%
16 369
 
3.7%
17 342
 
3.4%
15 340
 
3.4%
14 330
 
3.3%
19 326
 
3.3%
18 324
 
3.2%
13 314
 
3.1%
20 313
 
3.1%
12 311
 
3.1%
Other values (93) 5745
57.5%
ValueCountFrequency (%)
0 260
 
2.6%
1 1231
12.3%
2 103
 
1.0%
3 100
 
1.0%
4 65
 
0.7%
5 115
 
1.1%
6 106
 
1.1%
7 143
 
1.4%
8 155
 
1.6%
9 198
 
2.0%
ValueCountFrequency (%)
1000 7
0.1%
135 2
 
< 0.1%
130 1
 
< 0.1%
125 1
 
< 0.1%
114 1
 
< 0.1%
113 2
 
< 0.1%
112 1
 
< 0.1%
108 1
 
< 0.1%
107 1
 
< 0.1%
105 1
 
< 0.1%

미세먼지 최대(㎍/㎥)
Real number (ℝ)

Distinct195
Distinct (%)2.0%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean53.803821
Minimum0
Maximum1000
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:51.150713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median25
Q338
95-th percentile79
Maximum1000
Range1000
Interquartile range (IQR)23

Descriptive statistics

Standard deviation156.7321
Coefficient of variation (CV)2.9130292
Kurtosis31.275538
Mean53.803821
Median Absolute Deviation (MAD)11
Skewness5.6970171
Sum535079
Variance24564.952
MonotonicityNot monotonic
2024-05-11T09:10:51.978140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1143
 
11.4%
23 274
 
2.7%
25 273
 
2.7%
24 267
 
2.7%
18 262
 
2.6%
26 255
 
2.5%
19 254
 
2.5%
1000 254
 
2.5%
27 250
 
2.5%
29 247
 
2.5%
Other values (185) 6466
64.7%
ValueCountFrequency (%)
0 16
 
0.2%
2 50
 
0.5%
3 1143
11.4%
4 121
 
1.2%
5 97
 
1.0%
6 54
 
0.5%
7 66
 
0.7%
8 64
 
0.6%
9 75
 
0.8%
10 101
 
1.0%
ValueCountFrequency (%)
1000 254
2.5%
943 1
 
< 0.1%
731 1
 
< 0.1%
697 1
 
< 0.1%
688 1
 
< 0.1%
672 1
 
< 0.1%
634 1
 
< 0.1%
629 1
 
< 0.1%
538 1
 
< 0.1%
504 1
 
< 0.1%

미세먼지 평균(㎍/㎥)
Real number (ℝ)

Distinct139
Distinct (%)1.4%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean48.579487
Minimum0
Maximum1000
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:52.572183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median22
Q334
95-th percentile63
Maximum1000
Range1000
Interquartile range (IQR)21

Descriptive statistics

Standard deviation153.68712
Coefficient of variation (CV)3.1636218
Kurtosis33.81485
Mean48.579487
Median Absolute Deviation (MAD)10
Skewness5.9407896
Sum483123
Variance23619.732
MonotonicityNot monotonic
2024-05-11T09:10:53.140076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 941
 
9.4%
3 335
 
3.4%
17 322
 
3.2%
18 314
 
3.1%
24 288
 
2.9%
25 273
 
2.7%
16 272
 
2.7%
23 270
 
2.7%
22 269
 
2.7%
26 265
 
2.6%
Other values (129) 6396
64.0%
ValueCountFrequency (%)
0 16
 
0.2%
1 1
 
< 0.1%
2 941
9.4%
3 335
 
3.4%
4 106
 
1.1%
5 91
 
0.9%
6 65
 
0.7%
7 65
 
0.7%
8 80
 
0.8%
9 130
 
1.3%
ValueCountFrequency (%)
1000 249
2.5%
445 1
 
< 0.1%
417 1
 
< 0.1%
415 1
 
< 0.1%
303 1
 
< 0.1%
268 1
 
< 0.1%
262 1
 
< 0.1%
258 1
 
< 0.1%
251 1
 
< 0.1%
233 1
 
< 0.1%

미세먼지 최소(㎍/㎥)
Real number (ℝ)

Distinct114
Distinct (%)1.1%
Missing55
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean45.724183
Minimum0
Maximum1000
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:53.738195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median19
Q330
95-th percentile56
Maximum1000
Range1000
Interquartile range (IQR)18

Descriptive statistics

Standard deviation153.65475
Coefficient of variation (CV)3.36047
Kurtosis34.275534
Mean45.724183
Median Absolute Deviation (MAD)9
Skewness5.9922476
Sum454727
Variance23609.781
MonotonicityNot monotonic
2024-05-11T09:10:54.385782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1234
 
12.3%
17 365
 
3.6%
16 335
 
3.4%
18 331
 
3.3%
15 331
 
3.3%
13 310
 
3.1%
14 303
 
3.0%
12 300
 
3.0%
19 295
 
2.9%
22 285
 
2.9%
Other values (104) 5856
58.6%
ValueCountFrequency (%)
0 17
 
0.2%
1 2
 
< 0.1%
2 1234
12.3%
3 114
 
1.1%
4 88
 
0.9%
5 91
 
0.9%
6 84
 
0.8%
7 106
 
1.1%
8 146
 
1.5%
9 150
 
1.5%
ValueCountFrequency (%)
1000 249
2.5%
140 1
 
< 0.1%
139 1
 
< 0.1%
137 1
 
< 0.1%
135 1
 
< 0.1%
125 1
 
< 0.1%
117 1
 
< 0.1%
116 1
 
< 0.1%
113 2
 
< 0.1%
112 1
 
< 0.1%

온도 최대(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)1.4%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.08423614
Minimum-40
Maximum9
Zeros246
Zeros (%)2.5%
Negative2741
Negative (%)27.4%
Memory size166.0 KiB
2024-05-11T09:10:54.982653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-2.145
Q1-0.2
median0.7
Q31.8
95-th percentile3.4
Maximum9
Range49
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.5888837
Coefficient of variation (CV)66.347813
Kurtosis43.291541
Mean0.08423614
Median Absolute Deviation (MAD)1
Skewness-6.4264472
Sum796.2
Variance31.235621
MonotonicityNot monotonic
2024-05-11T09:10:55.603903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 289
 
2.9%
0.4 280
 
2.8%
0.6 279
 
2.8%
0.3 278
 
2.8%
0.1 274
 
2.7%
0.2 274
 
2.7%
0.7 273
 
2.7%
0.8 252
 
2.5%
0.0 246
 
2.5%
1.0 234
 
2.3%
Other values (123) 6773
67.7%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
-40.0 165
1.7%
-15.0 1
 
< 0.1%
-14.8 1
 
< 0.1%
-13.7 1
 
< 0.1%
-13.6 1
 
< 0.1%
-13.4 3
 
< 0.1%
-11.5 1
 
< 0.1%
-11.4 1
 
< 0.1%
-10.5 2
 
< 0.1%
-7.7 1
 
< 0.1%
ValueCountFrequency (%)
9.0 1
 
< 0.1%
7.7 1
 
< 0.1%
7.6 1
 
< 0.1%
7.1 1
 
< 0.1%
6.9 1
 
< 0.1%
6.7 1
 
< 0.1%
6.2 2
< 0.1%
6.1 1
 
< 0.1%
6.0 1
 
< 0.1%
5.7 4
< 0.1%

온도 평균(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct128
Distinct (%)1.4%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean-0.22522218
Minimum-40
Maximum7.1
Zeros276
Zeros (%)2.8%
Negative3425
Negative (%)34.2%
Memory size166.0 KiB
2024-05-11T09:10:56.258173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-2.4
Q1-0.5
median0.4
Q31.5
95-th percentile3
Maximum7.1
Range47.1
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.5306742
Coefficient of variation (CV)-24.556526
Kurtosis43.794365
Mean-0.22522218
Median Absolute Deviation (MAD)1
Skewness-6.4844691
Sum-2128.8
Variance30.588358
MonotonicityNot monotonic
2024-05-11T09:10:56.905326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 311
 
3.1%
0.3 293
 
2.9%
0.2 288
 
2.9%
0.5 277
 
2.8%
0.4 277
 
2.8%
0.0 276
 
2.8%
-0.1 273
 
2.7%
-0.2 257
 
2.6%
0.6 243
 
2.4%
1.0 239
 
2.4%
Other values (118) 6718
67.2%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
-40.0 165
1.7%
-15.6 1
 
< 0.1%
-15.2 1
 
< 0.1%
-14.2 1
 
< 0.1%
-14.0 1
 
< 0.1%
-13.5 2
 
< 0.1%
-13.4 1
 
< 0.1%
-12.1 1
 
< 0.1%
-11.8 1
 
< 0.1%
-10.8 1
 
< 0.1%
ValueCountFrequency (%)
7.1 1
 
< 0.1%
5.5 1
 
< 0.1%
5.4 1
 
< 0.1%
5.3 1
 
< 0.1%
4.9 4
< 0.1%
4.8 1
 
< 0.1%
4.7 5
0.1%
4.6 2
 
< 0.1%
4.5 3
< 0.1%
4.4 5
0.1%

온도 최소(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct121
Distinct (%)1.3%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean-0.50151291
Minimum-40
Maximum5.7
Zeros307
Zeros (%)3.1%
Negative4153
Negative (%)41.5%
Memory size166.0 KiB
2024-05-11T09:10:57.308485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-2.6
Q1-0.7
median0.1
Q31.1
95-th percentile2.6
Maximum5.7
Range45.7
Interquartile range (IQR)1.8

Descriptive statistics

Standard deviation5.4843401
Coefficient of variation (CV)-10.935591
Kurtosis44.064994
Mean-0.50151291
Median Absolute Deviation (MAD)0.9
Skewness-6.5158586
Sum-4740.3
Variance30.077986
MonotonicityNot monotonic
2024-05-11T09:10:57.827786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1 320
 
3.2%
0.0 307
 
3.1%
0.2 286
 
2.9%
-0.2 282
 
2.8%
-0.5 277
 
2.8%
0.4 274
 
2.7%
-0.4 271
 
2.7%
0.1 270
 
2.7%
-0.3 266
 
2.7%
0.3 262
 
2.6%
Other values (111) 6637
66.4%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
-40.0 165
1.7%
-15.9 1
 
< 0.1%
-15.6 1
 
< 0.1%
-14.8 1
 
< 0.1%
-14.2 1
 
< 0.1%
-13.5 3
 
< 0.1%
-12.9 1
 
< 0.1%
-12.1 1
 
< 0.1%
-11.1 1
 
< 0.1%
-10.9 1
 
< 0.1%
ValueCountFrequency (%)
5.7 1
 
< 0.1%
4.9 1
 
< 0.1%
4.8 1
 
< 0.1%
4.6 1
 
< 0.1%
4.5 5
0.1%
4.4 1
 
< 0.1%
4.3 1
 
< 0.1%
4.1 1
 
< 0.1%
4.0 6
0.1%
3.9 4
< 0.1%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)0.5%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean82.369869
Minimum54
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:58.244958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile68
Q177
median82
Q385
95-th percentile100
Maximum100
Range46
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2079569
Coefficient of variation (CV)0.11178793
Kurtosis-0.05572753
Mean82.369869
Median Absolute Deviation (MAD)4
Skewness0.38560012
Sum778560
Variance84.786471
MonotonicityNot monotonic
2024-05-11T09:10:58.665569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100 1295
13.0%
82 787
 
7.9%
83 783
 
7.8%
84 662
 
6.6%
81 651
 
6.5%
80 543
 
5.4%
85 522
 
5.2%
79 443
 
4.4%
86 376
 
3.8%
78 321
 
3.2%
Other values (33) 3069
30.7%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
54 2
 
< 0.1%
59 9
 
0.1%
60 12
 
0.1%
61 15
 
0.1%
62 15
 
0.1%
63 31
 
0.3%
64 38
 
0.4%
65 78
0.8%
66 81
0.8%
67 136
1.4%
ValueCountFrequency (%)
100 1295
13.0%
99 13
 
0.1%
98 11
 
0.1%
97 15
 
0.1%
96 19
 
0.2%
95 15
 
0.1%
94 14
 
0.1%
93 17
 
0.2%
92 14
 
0.1%
91 25
 
0.2%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)0.5%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean80.877909
Minimum52
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:59.083312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile66
Q175
median81
Q384
95-th percentile100
Maximum100
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.9194252
Coefficient of variation (CV)0.1226469
Kurtosis-0.11892126
Mean80.877909
Median Absolute Deviation (MAD)5
Skewness0.40768198
Sum764458
Variance98.394996
MonotonicityNot monotonic
2024-05-11T09:10:59.531151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
100 1256
 
12.6%
82 707
 
7.1%
81 699
 
7.0%
83 595
 
5.9%
80 572
 
5.7%
79 535
 
5.3%
84 468
 
4.7%
78 458
 
4.6%
85 368
 
3.7%
77 318
 
3.2%
Other values (38) 3476
34.8%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
52 1
 
< 0.1%
53 2
 
< 0.1%
55 1
 
< 0.1%
56 3
 
< 0.1%
57 5
 
0.1%
58 19
0.2%
59 14
 
0.1%
60 20
0.2%
61 35
0.4%
62 47
0.5%
ValueCountFrequency (%)
100 1256
12.6%
99 17
 
0.2%
98 11
 
0.1%
97 15
 
0.1%
96 16
 
0.2%
95 17
 
0.2%
94 20
 
0.2%
93 12
 
0.1%
92 16
 
0.2%
91 14
 
0.1%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)0.5%
Missing548
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean79.352095
Minimum47
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:10:59.965724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile63
Q172
median79
Q383
95-th percentile100
Maximum100
Range53
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.688074
Coefficient of variation (CV)0.13469177
Kurtosis-0.1522366
Mean79.352095
Median Absolute Deviation (MAD)5
Skewness0.4017668
Sum750036
Variance114.23492
MonotonicityNot monotonic
2024-05-11T09:11:00.431564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1236
 
12.4%
81 627
 
6.3%
80 598
 
6.0%
82 551
 
5.5%
79 543
 
5.4%
78 528
 
5.3%
83 461
 
4.6%
77 409
 
4.1%
76 341
 
3.4%
84 330
 
3.3%
Other values (41) 3828
38.3%
(Missing) 548
 
5.5%
ValueCountFrequency (%)
47 2
 
< 0.1%
51 1
 
< 0.1%
52 1
 
< 0.1%
53 4
 
< 0.1%
54 7
 
0.1%
55 12
 
0.1%
56 19
 
0.2%
57 23
0.2%
58 33
0.3%
59 51
0.5%
ValueCountFrequency (%)
100 1236
12.4%
99 9
 
0.1%
98 12
 
0.1%
97 8
 
0.1%
96 17
 
0.2%
95 18
 
0.2%
94 14
 
0.1%
93 19
 
0.2%
92 12
 
0.1%
91 18
 
0.2%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)6.5%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean1.1021526
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:00.845201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.6
Q31.1
95-th percentile2.45
Maximum11.9
Range11.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0552122
Coefficient of variation (CV)1.8647256
Kurtosis18.877935
Mean1.1021526
Median Absolute Deviation (MAD)0.5
Skewness4.3317527
Sum563.2
Variance4.2238973
MonotonicityNot monotonic
2024-05-11T09:11:01.230666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.1 129
 
1.3%
0.5 32
 
0.3%
0.4 32
 
0.3%
0.6 31
 
0.3%
0.7 27
 
0.3%
0.2 26
 
0.3%
0.3 24
 
0.2%
1.1 22
 
0.2%
0.8 21
 
0.2%
1.0 21
 
0.2%
Other values (23) 146
 
1.5%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 129
1.3%
0.2 26
 
0.3%
0.3 24
 
0.2%
0.4 32
 
0.3%
0.5 32
 
0.3%
0.6 31
 
0.3%
0.7 27
 
0.3%
0.8 21
 
0.2%
0.9 19
 
0.2%
1.0 21
 
0.2%
ValueCountFrequency (%)
11.9 3
< 0.1%
11.7 1
 
< 0.1%
11.3 5
0.1%
11.1 7
0.1%
11.0 2
 
< 0.1%
3.3 1
 
< 0.1%
2.9 3
< 0.1%
2.8 2
 
< 0.1%
2.5 2
 
< 0.1%
2.4 2
 
< 0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)4.3%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean0.69471624
Minimum0.1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:01.679549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.2
Q30.4
95-th percentile1.55
Maximum11
Range10.9
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation1.9990663
Coefficient of variation (CV)2.8775293
Kurtosis21.888942
Mean0.69471624
Median Absolute Deviation (MAD)0.1
Skewness4.7970005
Sum355
Variance3.9962661
MonotonicityNot monotonic
2024-05-11T09:11:02.050390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.1 255
 
2.5%
0.2 76
 
0.8%
0.3 35
 
0.4%
0.6 19
 
0.2%
0.4 18
 
0.2%
0.5 17
 
0.2%
0.7 15
 
0.1%
0.9 12
 
0.1%
11.0 12
 
0.1%
1.1 10
 
0.1%
Other values (12) 42
 
0.4%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 255
2.5%
0.2 76
 
0.8%
0.3 35
 
0.4%
0.4 18
 
0.2%
0.5 17
 
0.2%
0.6 19
 
0.2%
0.7 15
 
0.1%
0.8 9
 
0.1%
0.9 12
 
0.1%
1.0 3
 
< 0.1%
ValueCountFrequency (%)
11.0 12
0.1%
10.9 6
0.1%
2.6 1
 
< 0.1%
2.1 1
 
< 0.1%
2.0 2
 
< 0.1%
1.7 2
 
< 0.1%
1.6 2
 
< 0.1%
1.5 5
0.1%
1.4 3
 
< 0.1%
1.3 2
 
< 0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)3.3%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean0.5295499
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:02.339936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.1
95-th percentile1.05
Maximum10.9
Range10.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9815936
Coefficient of variation (CV)3.7420338
Kurtosis23.207178
Mean0.5295499
Median Absolute Deviation (MAD)0
Skewness4.9902517
Sum270.6
Variance3.9267133
MonotonicityNot monotonic
2024-05-11T09:11:02.725127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.1 430
 
4.3%
0.2 15
 
0.1%
0.4 12
 
0.1%
0.3 12
 
0.1%
10.8 10
 
0.1%
10.9 8
 
0.1%
0.5 5
 
0.1%
0.6 4
 
< 0.1%
0.9 3
 
< 0.1%
1.1 3
 
< 0.1%
Other values (7) 9
 
0.1%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 430
4.3%
0.2 15
 
0.1%
0.3 12
 
0.1%
0.4 12
 
0.1%
0.5 5
 
0.1%
0.6 4
 
< 0.1%
0.7 2
 
< 0.1%
0.8 1
 
< 0.1%
0.9 3
 
< 0.1%
1.0 1
 
< 0.1%
ValueCountFrequency (%)
10.9 8
0.1%
10.8 10
0.1%
1.8 1
 
< 0.1%
1.4 1
 
< 0.1%
1.3 1
 
< 0.1%
1.2 2
 
< 0.1%
1.1 3
 
< 0.1%
1.0 1
 
< 0.1%
0.9 3
 
< 0.1%
0.8 1
 
< 0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct395
Distinct (%)77.3%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean255.37886
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:03.146459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile12.4
Q1187.4
median304.5
Q3350.65
95-th percentile359.2
Maximum359.9
Range359.8
Interquartile range (IQR)163.25

Descriptive statistics

Standard deviation114.24685
Coefficient of variation (CV)0.4473622
Kurtosis-0.38729944
Mean255.37886
Median Absolute Deviation (MAD)52.6
Skewness-0.96974196
Sum130498.6
Variance13052.343
MonotonicityNot monotonic
2024-05-11T09:11:03.666585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 10
 
0.1%
0.1 8
 
0.1%
359.9 6
 
0.1%
359.5 5
 
0.1%
359.2 5
 
0.1%
357.8 5
 
0.1%
359.7 5
 
0.1%
1.8 5
 
0.1%
337.0 4
 
< 0.1%
359.3 4
 
< 0.1%
Other values (385) 454
 
4.5%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 8
0.1%
1.8 5
0.1%
1.9 10
0.1%
2.0 3
 
< 0.1%
22.8 1
 
< 0.1%
24.8 1
 
< 0.1%
26.5 1
 
< 0.1%
27.3 1
 
< 0.1%
28.3 1
 
< 0.1%
28.8 1
 
< 0.1%
ValueCountFrequency (%)
359.9 6
0.1%
359.8 1
 
< 0.1%
359.7 5
0.1%
359.6 1
 
< 0.1%
359.5 5
0.1%
359.3 4
< 0.1%
359.2 5
0.1%
359.1 1
 
< 0.1%
359.0 3
< 0.1%
358.8 2
 
< 0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct260
Distinct (%)50.9%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean159.11331
Minimum0.1
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:04.185416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q163
median162
Q3250
95-th percentile330
Maximum359
Range358.9
Interquartile range (IQR)187

Descriptive statistics

Standard deviation106.56428
Coefficient of variation (CV)0.66973832
Kurtosis-1.2699148
Mean159.11331
Median Absolute Deviation (MAD)93
Skewness0.10106763
Sum81306.9
Variance11355.946
MonotonicityNot monotonic
2024-05-11T09:11:04.662368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 18
 
0.2%
0.1 9
 
0.1%
71.0 7
 
0.1%
72.0 5
 
0.1%
251.0 5
 
0.1%
255.0 5
 
0.1%
69.0 5
 
0.1%
17.0 5
 
0.1%
241.0 5
 
0.1%
21.0 5
 
0.1%
Other values (250) 442
 
4.4%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 9
0.1%
1.0 1
 
< 0.1%
2.0 18
0.2%
3.0 2
 
< 0.1%
4.0 3
 
< 0.1%
8.0 1
 
< 0.1%
9.0 1
 
< 0.1%
10.0 1
 
< 0.1%
11.0 2
 
< 0.1%
13.0 1
 
< 0.1%
ValueCountFrequency (%)
359.0 1
< 0.1%
357.0 1
< 0.1%
356.0 1
< 0.1%
354.0 1
< 0.1%
353.0 1
< 0.1%
352.0 1
< 0.1%
351.0 1
< 0.1%
348.0 2
< 0.1%
347.0 1
< 0.1%
346.0 1
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct391
Distinct (%)76.5%
Missing9489
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean68.638552
Minimum0.1
Maximum324.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:05.169753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.8
Q16.2
median25.4
Q3104.15
95-th percentile245.65
Maximum324.5
Range324.4
Interquartile range (IQR)97.95

Descriptive statistics

Standard deviation85.221225
Coefficient of variation (CV)1.2415942
Kurtosis0.36043134
Mean68.638552
Median Absolute Deviation (MAD)23.6
Skewness1.2806759
Sum35074.3
Variance7262.6572
MonotonicityNot monotonic
2024-05-11T09:11:05.945136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 11
 
0.1%
1.6 10
 
0.1%
1.8 10
 
0.1%
0.4 5
 
0.1%
3.5 5
 
0.1%
1.5 4
 
< 0.1%
2.4 4
 
< 0.1%
24.4 4
 
< 0.1%
11.2 4
 
< 0.1%
2.3 3
 
< 0.1%
Other values (381) 451
 
4.5%
(Missing) 9489
94.9%
ValueCountFrequency (%)
0.1 11
0.1%
0.2 1
 
< 0.1%
0.3 3
 
< 0.1%
0.4 5
0.1%
0.5 2
 
< 0.1%
0.7 3
 
< 0.1%
0.8 3
 
< 0.1%
0.9 2
 
< 0.1%
1.0 2
 
< 0.1%
1.1 2
 
< 0.1%
ValueCountFrequency (%)
324.5 1
< 0.1%
311.0 1
< 0.1%
310.6 1
< 0.1%
310.0 1
< 0.1%
308.2 1
< 0.1%
307.5 1
< 0.1%
303.8 1
< 0.1%
302.7 1
< 0.1%
301.6 1
< 0.1%
300.9 1
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct2531
Distinct (%)31.9%
Missing2054
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean2095.4776
Minimum0
Maximum99461
Zeros3557
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:06.596332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q31343.75
95-th percentile9124.75
Maximum99461
Range99461
Interquartile range (IQR)1343.75

Descriptive statistics

Standard deviation7559.9973
Coefficient of variation (CV)3.6077681
Kurtosis118.8374
Mean2095.4776
Median Absolute Deviation (MAD)3
Skewness10.075479
Sum16650665
Variance57153559
MonotonicityNot monotonic
2024-05-11T09:11:07.217200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3557
35.6%
1 223
 
2.2%
2 170
 
1.7%
4 105
 
1.1%
3 104
 
1.0%
5 71
 
0.7%
6 56
 
0.6%
8 32
 
0.3%
7 29
 
0.3%
10 28
 
0.3%
Other values (2521) 3571
35.7%
(Missing) 2054
20.5%
ValueCountFrequency (%)
0 3557
35.6%
1 223
 
2.2%
2 170
 
1.7%
3 104
 
1.0%
4 105
 
1.1%
5 71
 
0.7%
6 56
 
0.6%
7 29
 
0.3%
8 32
 
0.3%
9 28
 
0.3%
ValueCountFrequency (%)
99461 1
< 0.1%
99378 1
< 0.1%
99328 1
< 0.1%
99082 1
< 0.1%
98958 1
< 0.1%
98925 1
< 0.1%
98813 1
< 0.1%
98757 1
< 0.1%
98712 2
< 0.1%
98489 1
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct2253
Distinct (%)28.4%
Missing2054
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean1148.4257
Minimum0
Maximum60849
Zeros3593
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:07.796630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3799.25
95-th percentile5590.25
Maximum60849
Range60849
Interquartile range (IQR)799.25

Descriptive statistics

Standard deviation3339.3944
Coefficient of variation (CV)2.9078017
Kurtosis109.73922
Mean1148.4257
Median Absolute Deviation (MAD)2
Skewness8.8272406
Sum9125391
Variance11151555
MonotonicityNot monotonic
2024-05-11T09:11:08.251628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3593
35.9%
1 213
 
2.1%
2 170
 
1.7%
4 120
 
1.2%
3 110
 
1.1%
5 73
 
0.7%
6 58
 
0.6%
8 48
 
0.5%
12 45
 
0.4%
11 44
 
0.4%
Other values (2243) 3472
34.7%
(Missing) 2054
20.5%
ValueCountFrequency (%)
0 3593
35.9%
1 213
 
2.1%
2 170
 
1.7%
3 110
 
1.1%
4 120
 
1.2%
5 73
 
0.7%
6 58
 
0.6%
7 43
 
0.4%
8 48
 
0.5%
9 43
 
0.4%
ValueCountFrequency (%)
60849 1
< 0.1%
52478 1
< 0.1%
51940 1
< 0.1%
50040 1
< 0.1%
48647 1
< 0.1%
48237 1
< 0.1%
47537 1
< 0.1%
47144 1
< 0.1%
46912 1
< 0.1%
46698 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct1858
Distinct (%)23.4%
Missing2054
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean533.91367
Minimum0
Maximum10621
Zeros4021
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:08.842484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3358
95-th percentile3172.75
Maximum10621
Range10621
Interquartile range (IQR)358

Descriptive statistics

Standard deviation1146.0196
Coefficient of variation (CV)2.1464512
Kurtosis8.7071855
Mean533.91367
Median Absolute Deviation (MAD)0
Skewness2.7604825
Sum4242478
Variance1313361
MonotonicityNot monotonic
2024-05-11T09:11:09.355653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4021
40.2%
1 262
 
2.6%
2 192
 
1.9%
3 124
 
1.2%
4 116
 
1.2%
5 70
 
0.7%
6 39
 
0.4%
8 35
 
0.4%
7 35
 
0.4%
9 34
 
0.3%
Other values (1848) 3018
30.2%
(Missing) 2054
20.5%
ValueCountFrequency (%)
0 4021
40.2%
1 262
 
2.6%
2 192
 
1.9%
3 124
 
1.2%
4 116
 
1.2%
5 70
 
0.7%
6 39
 
0.4%
7 35
 
0.4%
8 35
 
0.4%
9 34
 
0.3%
ValueCountFrequency (%)
10621 1
< 0.1%
9487 1
< 0.1%
9207 1
< 0.1%
8708 1
< 0.1%
8490 1
< 0.1%
7936 1
< 0.1%
7547 1
< 0.1%
7531 1
< 0.1%
7431 1
< 0.1%
7405 1
< 0.1%

자외선 최대(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)0.2%
Missing1956
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean0.11347588
Minimum0
Maximum2.7
Zeros5852
Zeros (%)58.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:09.758506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1
95-th percentile0.6
Maximum2.7
Range2.7
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.26618893
Coefficient of variation (CV)2.3457754
Kurtosis12.213163
Mean0.11347588
Median Absolute Deviation (MAD)0
Skewness3.2824232
Sum912.8
Variance0.070856548
MonotonicityNot monotonic
2024-05-11T09:11:10.187618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 5852
58.5%
0.1 554
 
5.5%
0.3 365
 
3.6%
0.2 325
 
3.2%
0.4 287
 
2.9%
0.5 173
 
1.7%
0.6 109
 
1.1%
1.4 99
 
1.0%
1.3 86
 
0.9%
0.7 83
 
0.8%
Other values (9) 111
 
1.1%
(Missing) 1956
 
19.6%
ValueCountFrequency (%)
0.0 5852
58.5%
0.1 554
 
5.5%
0.2 325
 
3.2%
0.3 365
 
3.6%
0.4 287
 
2.9%
0.5 173
 
1.7%
0.6 109
 
1.1%
0.7 83
 
0.8%
0.8 41
 
0.4%
0.9 28
 
0.3%
ValueCountFrequency (%)
2.7 1
 
< 0.1%
2.2 2
 
< 0.1%
2.0 1
 
< 0.1%
1.5 1
 
< 0.1%
1.4 99
1.0%
1.3 86
0.9%
1.2 4
 
< 0.1%
1.1 13
 
0.1%
1.0 20
 
0.2%
0.9 28
 
0.3%

자외선 평균(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.1%
Missing1956
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean0.079525112
Minimum0
Maximum1.4
Zeros6131
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:10.680158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.4
Maximum1.4
Range1.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2207663
Coefficient of variation (CV)2.7760577
Kurtosis21.362644
Mean0.079525112
Median Absolute Deviation (MAD)0
Skewness4.3906551
Sum639.7
Variance0.048737758
MonotonicityNot monotonic
2024-05-11T09:11:11.087135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 6131
61.3%
0.1 573
 
5.7%
0.2 512
 
5.1%
0.3 355
 
3.5%
0.4 184
 
1.8%
1.3 108
 
1.1%
0.5 76
 
0.8%
1.4 71
 
0.7%
0.6 22
 
0.2%
0.7 9
 
0.1%
Other values (2) 3
 
< 0.1%
(Missing) 1956
 
19.6%
ValueCountFrequency (%)
0.0 6131
61.3%
0.1 573
 
5.7%
0.2 512
 
5.1%
0.3 355
 
3.5%
0.4 184
 
1.8%
0.5 76
 
0.8%
0.6 22
 
0.2%
0.7 9
 
0.1%
0.8 1
 
< 0.1%
0.9 2
 
< 0.1%
ValueCountFrequency (%)
1.4 71
 
0.7%
1.3 108
 
1.1%
0.9 2
 
< 0.1%
0.8 1
 
< 0.1%
0.7 9
 
0.1%
0.6 22
 
0.2%
0.5 76
 
0.8%
0.4 184
 
1.8%
0.3 355
3.5%
0.2 512
5.1%

자외선 최대(UV).1
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.1%
Missing1956
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean0.055482347
Minimum0
Maximum1.4
Zeros6507
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:11.450834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2
Maximum1.4
Range1.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2011246
Coefficient of variation (CV)3.6250196
Kurtosis31.341154
Mean0.055482347
Median Absolute Deviation (MAD)0
Skewness5.5155607
Sum446.3
Variance0.040451104
MonotonicityNot monotonic
2024-05-11T09:11:11.967500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 6507
65.1%
0.1 799
 
8.0%
0.2 406
 
4.1%
1.3 155
 
1.6%
0.3 118
 
1.2%
0.4 30
 
0.3%
1.4 24
 
0.2%
0.5 3
 
< 0.1%
0.6 2
 
< 0.1%
(Missing) 1956
 
19.6%
ValueCountFrequency (%)
0.0 6507
65.1%
0.1 799
 
8.0%
0.2 406
 
4.1%
0.3 118
 
1.2%
0.4 30
 
0.3%
0.5 3
 
< 0.1%
0.6 2
 
< 0.1%
1.3 155
 
1.6%
1.4 24
 
0.2%
ValueCountFrequency (%)
1.4 24
 
0.2%
1.3 155
 
1.6%
0.6 2
 
< 0.1%
0.5 3
 
< 0.1%
0.4 30
 
0.3%
0.3 118
 
1.2%
0.2 406
 
4.1%
0.1 799
 
8.0%
0.0 6507
65.1%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)0.5%
Missing274
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean51.62081
Minimum35
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:12.893782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile40
Q146
median51
Q356
95-th percentile68
Maximum82
Range47
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0131611
Coefficient of variation (CV)0.15523121
Kurtosis0.3186224
Mean51.62081
Median Absolute Deviation (MAD)5
Skewness0.6423491
Sum502064
Variance64.21075
MonotonicityNot monotonic
2024-05-11T09:11:13.362776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
48 928
 
9.3%
52 830
 
8.3%
44 602
 
6.0%
50 518
 
5.2%
49 504
 
5.0%
51 468
 
4.7%
47 443
 
4.4%
46 400
 
4.0%
53 392
 
3.9%
56 377
 
3.8%
Other values (37) 4264
42.6%
ValueCountFrequency (%)
35 133
 
1.3%
36 44
 
0.4%
37 65
 
0.7%
38 61
 
0.6%
39 85
 
0.9%
40 209
 
2.1%
41 115
 
1.1%
42 170
 
1.7%
43 223
 
2.2%
44 602
6.0%
ValueCountFrequency (%)
82 1
 
< 0.1%
80 2
 
< 0.1%
79 1
 
< 0.1%
78 3
 
< 0.1%
77 5
 
0.1%
76 17
 
0.2%
75 16
 
0.2%
74 18
 
0.2%
73 41
0.4%
72 73
0.7%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.4%
Missing274
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean48.049044
Minimum35
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:13.821064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile37
Q143
median47
Q352
95-th percentile64
Maximum78
Range43
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.659271
Coefficient of variation (CV)0.15940527
Kurtosis0.43222052
Mean48.049044
Median Absolute Deviation (MAD)4
Skewness0.83427806
Sum467325
Variance58.664433
MonotonicityNot monotonic
2024-05-11T09:11:14.352541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
44 767
 
7.7%
45 648
 
6.5%
48 622
 
6.2%
46 608
 
6.1%
47 556
 
5.6%
43 530
 
5.3%
49 469
 
4.7%
41 463
 
4.6%
42 445
 
4.5%
40 381
 
3.8%
Other values (31) 4237
42.4%
ValueCountFrequency (%)
35 182
 
1.8%
36 149
 
1.5%
37 170
 
1.7%
38 210
 
2.1%
39 233
 
2.3%
40 381
3.8%
41 463
4.6%
42 445
4.5%
43 530
5.3%
44 767
7.7%
ValueCountFrequency (%)
78 1
 
< 0.1%
74 12
 
0.1%
73 4
 
< 0.1%
72 7
 
0.1%
71 25
 
0.2%
70 36
0.4%
69 54
0.5%
68 63
0.6%
67 81
0.8%
66 70
0.7%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)0.4%
Missing274
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean45.735657
Minimum35
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:14.895009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile36
Q140
median44
Q349
95-th percentile61
Maximum77
Range42
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.2908815
Coefficient of variation (CV)0.15941351
Kurtosis0.47955334
Mean45.735657
Median Absolute Deviation (MAD)4
Skewness0.87873592
Sum444825
Variance53.156954
MonotonicityNot monotonic
2024-05-11T09:11:15.503215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
44 1029
 
10.3%
40 826
 
8.3%
48 593
 
5.9%
43 554
 
5.5%
42 485
 
4.9%
41 473
 
4.7%
45 466
 
4.7%
46 438
 
4.4%
36 424
 
4.2%
47 398
 
4.0%
Other values (30) 4040
40.4%
ValueCountFrequency (%)
35 373
 
3.7%
36 424
4.2%
37 268
 
2.7%
38 303
 
3.0%
39 380
 
3.8%
40 826
8.3%
41 473
4.7%
42 485
4.9%
43 554
5.5%
44 1029
10.3%
ValueCountFrequency (%)
77 1
 
< 0.1%
73 4
 
< 0.1%
72 7
 
0.1%
71 1
 
< 0.1%
70 5
 
0.1%
69 16
 
0.2%
68 23
 
0.2%
67 28
0.3%
66 34
0.3%
65 66
0.7%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.2%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.031873807
Minimum0
Maximum0.17
Zeros44
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:16.196532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.03
Q30.04
95-th percentile0.07
Maximum0.17
Range0.17
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.022052155
Coefficient of variation (CV)0.69185821
Kurtosis4.3888872
Mean0.031873807
Median Absolute Deviation (MAD)0.01
Skewness1.6988383
Sum250.56
Variance0.00048629756
MonotonicityNot monotonic
2024-05-11T09:11:16.888989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.02 2245
22.4%
0.01 1596
16.0%
0.03 1336
13.4%
0.04 870
 
8.7%
0.05 721
 
7.2%
0.06 412
 
4.1%
0.07 284
 
2.8%
0.08 147
 
1.5%
0.09 88
 
0.9%
0.0 44
 
0.4%
Other values (7) 118
 
1.2%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 44
 
0.4%
0.01 1596
16.0%
0.02 2245
22.4%
0.03 1336
13.4%
0.04 870
 
8.7%
0.05 721
 
7.2%
0.06 412
 
4.1%
0.07 284
 
2.8%
0.08 147
 
1.5%
0.09 88
 
0.9%
ValueCountFrequency (%)
0.17 2
 
< 0.1%
0.16 5
 
0.1%
0.15 14
 
0.1%
0.14 8
 
0.1%
0.13 33
 
0.3%
0.11 24
 
0.2%
0.1 32
 
0.3%
0.09 88
 
0.9%
0.08 147
1.5%
0.07 284
2.8%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.2%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.028049866
Minimum0
Maximum0.17
Zeros62
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:17.395432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.02
Q30.04
95-th percentile0.07
Maximum0.17
Range0.17
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.021166986
Coefficient of variation (CV)0.75461984
Kurtosis4.7343621
Mean0.028049866
Median Absolute Deviation (MAD)0.01
Skewness1.8101591
Sum220.5
Variance0.00044804128
MonotonicityNot monotonic
2024-05-11T09:11:17.936055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.01 2487
24.9%
0.02 1994
19.9%
0.03 1166
11.7%
0.04 727
 
7.3%
0.05 607
 
6.1%
0.06 325
 
3.2%
0.07 212
 
2.1%
0.08 124
 
1.2%
0.09 68
 
0.7%
0.0 62
 
0.6%
Other values (8) 89
 
0.9%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 62
 
0.6%
0.01 2487
24.9%
0.02 1994
19.9%
0.03 1166
11.7%
0.04 727
 
7.3%
0.05 607
 
6.1%
0.06 325
 
3.2%
0.07 212
 
2.1%
0.08 124
 
1.2%
0.09 68
 
0.7%
ValueCountFrequency (%)
0.17 1
 
< 0.1%
0.16 3
 
< 0.1%
0.15 5
 
0.1%
0.14 11
 
0.1%
0.13 26
 
0.3%
0.12 12
 
0.1%
0.11 10
 
0.1%
0.1 21
 
0.2%
0.09 68
0.7%
0.08 124
1.2%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.2%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.024521053
Minimum0
Maximum0.16
Zeros304
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:18.514382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.02
Q30.03
95-th percentile0.06
Maximum0.16
Range0.16
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020380358
Coefficient of variation (CV)0.83113715
Kurtosis5.3462425
Mean0.024521053
Median Absolute Deviation (MAD)0.01
Skewness1.9269547
Sum192.76
Variance0.000415359
MonotonicityNot monotonic
2024-05-11T09:11:18.913387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.01 3125
31.2%
0.02 1632
16.3%
0.03 1020
 
10.2%
0.04 685
 
6.9%
0.05 438
 
4.4%
0.0 304
 
3.0%
0.06 284
 
2.8%
0.07 159
 
1.6%
0.08 92
 
0.9%
0.09 39
 
0.4%
Other values (7) 83
 
0.8%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 304
 
3.0%
0.01 3125
31.2%
0.02 1632
16.3%
0.03 1020
 
10.2%
0.04 685
 
6.9%
0.05 438
 
4.4%
0.06 284
 
2.8%
0.07 159
 
1.6%
0.08 92
 
0.9%
0.09 39
 
0.4%
ValueCountFrequency (%)
0.16 3
 
< 0.1%
0.15 2
 
< 0.1%
0.14 13
 
0.1%
0.13 6
 
0.1%
0.12 32
 
0.3%
0.11 1
 
< 0.1%
0.1 26
 
0.3%
0.09 39
 
0.4%
0.08 92
0.9%
0.07 159
1.6%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.064512149
Minimum0
Maximum0.19
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:19.281453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.06
Q30.09
95-th percentile0.14
Maximum0.19
Range0.19
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.038858152
Coefficient of variation (CV)0.60233852
Kurtosis-0.31275145
Mean0.064512149
Median Absolute Deviation (MAD)0.03
Skewness0.74942102
Sum507.13
Variance0.001509956
MonotonicityNot monotonic
2024-05-11T09:11:19.652204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.03 1152
11.5%
0.02 1114
11.1%
0.04 838
 
8.4%
0.05 713
 
7.1%
0.06 698
 
7.0%
0.08 565
 
5.7%
0.07 542
 
5.4%
0.1 410
 
4.1%
0.09 410
 
4.1%
0.12 327
 
3.3%
Other values (10) 1092
10.9%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.01 14
 
0.1%
0.02 1114
11.1%
0.03 1152
11.5%
0.04 838
8.4%
0.05 713
7.1%
0.06 698
7.0%
0.07 542
5.4%
0.08 565
5.7%
0.09 410
 
4.1%
ValueCountFrequency (%)
0.19 1
 
< 0.1%
0.18 14
 
0.1%
0.17 50
 
0.5%
0.16 87
 
0.9%
0.15 188
1.9%
0.14 163
 
1.6%
0.13 224
2.2%
0.12 327
3.3%
0.11 305
3.0%
0.1 410
4.1%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.2%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.060055973
Minimum0
Maximum0.18
Zeros48
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:20.056911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.08
95-th percentile0.14
Maximum0.18
Range0.18
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03898061
Coefficient of variation (CV)0.64907133
Kurtosis-0.25422596
Mean0.060055973
Median Absolute Deviation (MAD)0.03
Skewness0.78559081
Sum472.1
Variance0.001519488
MonotonicityNot monotonic
2024-05-11T09:11:20.387892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.02 1457
14.6%
0.03 1037
10.4%
0.04 746
 
7.5%
0.05 661
 
6.6%
0.06 655
 
6.6%
0.08 543
 
5.4%
0.07 506
 
5.1%
0.09 380
 
3.8%
0.11 342
 
3.4%
0.1 323
 
3.2%
Other values (9) 1211
12.1%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 48
 
0.5%
0.01 252
 
2.5%
0.02 1457
14.6%
0.03 1037
10.4%
0.04 746
7.5%
0.05 661
6.6%
0.06 655
6.6%
0.07 506
 
5.1%
0.08 543
 
5.4%
0.09 380
 
3.8%
ValueCountFrequency (%)
0.18 14
 
0.1%
0.17 28
 
0.3%
0.16 72
 
0.7%
0.15 186
1.9%
0.14 125
 
1.2%
0.13 164
1.6%
0.12 322
3.2%
0.11 342
3.4%
0.1 323
3.2%
0.09 380
3.8%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.2%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean0.055522198
Minimum0
Maximum0.18
Zeros58
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:20.680404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.05
Q30.08
95-th percentile0.13
Maximum0.18
Range0.18
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.039038999
Coefficient of variation (CV)0.70312416
Kurtosis-0.22320151
Mean0.055522198
Median Absolute Deviation (MAD)0.03
Skewness0.80021288
Sum436.46
Variance0.0015240434
MonotonicityNot monotonic
2024-05-11T09:11:21.019752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.02 1311
13.1%
0.01 882
8.8%
0.03 872
8.7%
0.04 769
 
7.7%
0.05 634
 
6.3%
0.07 561
 
5.6%
0.06 560
 
5.6%
0.09 414
 
4.1%
0.08 403
 
4.0%
0.11 337
 
3.4%
Other values (9) 1118
11.2%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 58
 
0.6%
0.01 882
8.8%
0.02 1311
13.1%
0.03 872
8.7%
0.04 769
7.7%
0.05 634
6.3%
0.06 560
5.6%
0.07 561
5.6%
0.08 403
 
4.0%
0.09 414
 
4.1%
ValueCountFrequency (%)
0.18 1
 
< 0.1%
0.17 32
 
0.3%
0.16 57
 
0.6%
0.15 130
 
1.3%
0.14 134
 
1.3%
0.13 164
 
1.6%
0.12 242
2.4%
0.11 337
3.4%
0.1 300
3.0%
0.09 414
4.1%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)0.3%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.0384684
Minimum0
Maximum1.23
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:21.368986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q11.02
median1.04
Q31.07
95-th percentile1.1
Maximum1.23
Range1.23
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.085746801
Coefficient of variation (CV)0.082570449
Kurtosis120.34492
Mean1.0384684
Median Absolute Deviation (MAD)0.02
Skewness-10.129428
Sum8163.4
Variance0.0073525139
MonotonicityNot monotonic
2024-05-11T09:11:21.791570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.06 919
9.2%
1.04 886
8.9%
1.05 849
 
8.5%
1.03 801
 
8.0%
1.02 787
 
7.9%
1.07 634
 
6.3%
1.01 600
 
6.0%
1.08 514
 
5.1%
1.09 433
 
4.3%
1.0 393
 
3.9%
Other values (17) 1045
10.4%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 45
 
0.4%
0.94 7
 
0.1%
0.95 21
 
0.2%
0.96 27
 
0.3%
0.97 56
 
0.6%
0.98 160
 
1.6%
0.99 255
 
2.5%
1.0 393
3.9%
1.01 600
6.0%
1.02 787
7.9%
ValueCountFrequency (%)
1.23 1
 
< 0.1%
1.22 1
 
< 0.1%
1.17 6
 
0.1%
1.16 10
 
0.1%
1.15 1
 
< 0.1%
1.14 20
 
0.2%
1.13 63
 
0.6%
1.12 91
0.9%
1.11 88
0.9%
1.1 193
1.9%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.3%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.0332337
Minimum0
Maximum1.17
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:22.371875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.02
median1.04
Q31.06
95-th percentile1.09
Maximum1.17
Range1.17
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.085370171
Coefficient of variation (CV)0.082624262
Kurtosis120.02015
Mean1.0332337
Median Absolute Deviation (MAD)0.02
Skewness-10.112341
Sum8122.25
Variance0.0072880661
MonotonicityNot monotonic
2024-05-11T09:11:22.808511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.03 932
9.3%
1.05 910
9.1%
1.02 867
8.7%
1.06 842
 
8.4%
1.04 745
 
7.4%
1.01 585
 
5.9%
1.07 549
 
5.5%
1.0 508
 
5.1%
1.08 452
 
4.5%
0.99 367
 
3.7%
Other values (15) 1104
11.0%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 45
 
0.4%
0.94 19
 
0.2%
0.95 26
 
0.3%
0.96 43
 
0.4%
0.97 87
 
0.9%
0.98 206
 
2.1%
0.99 367
3.7%
1.0 508
5.1%
1.01 585
5.9%
1.02 867
8.7%
ValueCountFrequency (%)
1.17 3
 
< 0.1%
1.16 3
 
< 0.1%
1.15 11
 
0.1%
1.14 17
 
0.2%
1.13 27
 
0.3%
1.12 64
 
0.6%
1.11 95
 
0.9%
1.1 137
 
1.4%
1.09 321
3.2%
1.08 452
4.5%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.3%
Missing2139
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean1.0277497
Minimum0
Maximum1.17
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:23.224240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.03
Q31.06
95-th percentile1.09
Maximum1.17
Range1.17
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.085109188
Coefficient of variation (CV)0.082811206
Kurtosis118.91724
Mean1.0277497
Median Absolute Deviation (MAD)0.02
Skewness-10.043393
Sum8079.14
Variance0.007243574
MonotonicityNot monotonic
2024-05-11T09:11:23.657547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.05 922
9.2%
1.04 870
8.7%
1.03 844
 
8.4%
1.02 805
 
8.1%
1.01 794
 
7.9%
1.06 597
 
6.0%
1.0 587
 
5.9%
1.07 524
 
5.2%
1.08 407
 
4.1%
0.99 405
 
4.0%
Other values (16) 1106
11.1%
(Missing) 2139
21.4%
ValueCountFrequency (%)
0.0 45
 
0.4%
0.93 11
 
0.1%
0.94 20
 
0.2%
0.95 31
 
0.3%
0.96 83
 
0.8%
0.97 158
 
1.6%
0.98 282
 
2.8%
0.99 405
4.0%
1.0 587
5.9%
1.01 794
7.9%
ValueCountFrequency (%)
1.17 1
 
< 0.1%
1.16 2
 
< 0.1%
1.15 9
 
0.1%
1.14 9
 
0.1%
1.13 16
 
0.2%
1.12 62
 
0.6%
1.11 90
 
0.9%
1.1 74
 
0.7%
1.09 213
2.1%
1.08 407
4.1%

흑구온도 최대(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

흑구온도 평균(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

흑구온도 최소(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

이산화질소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct386
Distinct (%)68.8%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.65605348
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:24.118442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.265
Q10.424
median0.565
Q30.802
95-th percentile1.767
Maximum2
Range2
Interquartile range (IQR)0.378

Descriptive statistics

Standard deviation0.39998852
Coefficient of variation (CV)0.6096889
Kurtosis4.190888
Mean0.65605348
Median Absolute Deviation (MAD)0.188
Skewness1.8512093
Sum368.046
Variance0.15999082
MonotonicityNot monotonic
2024-05-11T09:11:24.703153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 27
 
0.3%
0.0 18
 
0.2%
0.516 4
 
< 0.1%
0.443 4
 
< 0.1%
0.52 4
 
< 0.1%
0.4 4
 
< 0.1%
0.456 4
 
< 0.1%
0.425 4
 
< 0.1%
0.504 4
 
< 0.1%
0.767 3
 
< 0.1%
Other values (376) 485
 
4.9%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.218 1
 
< 0.1%
0.221 1
 
< 0.1%
0.224 1
 
< 0.1%
0.243 2
 
< 0.1%
0.244 1
 
< 0.1%
0.249 1
 
< 0.1%
0.251 1
 
< 0.1%
0.258 1
 
< 0.1%
0.259 1
 
< 0.1%
ValueCountFrequency (%)
2.0 27
0.3%
1.771 1
 
< 0.1%
1.767 1
 
< 0.1%
1.748 1
 
< 0.1%
1.683 1
 
< 0.1%
1.65 1
 
< 0.1%
1.627 1
 
< 0.1%
1.582 1
 
< 0.1%
1.216 1
 
< 0.1%
1.166 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct377
Distinct (%)67.2%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.71574332
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:25.154582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.295
Q10.468
median0.611
Q30.854
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.386

Descriptive statistics

Standard deviation0.41616741
Coefficient of variation (CV)0.58144785
Kurtosis3.0753034
Mean0.71574332
Median Absolute Deviation (MAD)0.184
Skewness1.6153985
Sum401.532
Variance0.17319531
MonotonicityNot monotonic
2024-05-11T09:11:25.643399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 31
 
0.3%
0.0 18
 
0.2%
0.571 5
 
0.1%
0.586 4
 
< 0.1%
0.593 4
 
< 0.1%
0.681 3
 
< 0.1%
0.447 3
 
< 0.1%
0.69 3
 
< 0.1%
0.444 3
 
< 0.1%
0.825 3
 
< 0.1%
Other values (367) 484
 
4.8%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.248 1
 
< 0.1%
0.252 1
 
< 0.1%
0.257 2
 
< 0.1%
0.271 2
 
< 0.1%
0.272 1
 
< 0.1%
0.282 1
 
< 0.1%
0.286 1
 
< 0.1%
0.295 2
 
< 0.1%
0.298 1
 
< 0.1%
ValueCountFrequency (%)
2.0 31
0.3%
1.954 1
 
< 0.1%
1.839 1
 
< 0.1%
1.82 1
 
< 0.1%
1.753 1
 
< 0.1%
1.657 1
 
< 0.1%
1.635 1
 
< 0.1%
1.6 1
 
< 0.1%
1.32 1
 
< 0.1%
1.279 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)65.6%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.62788057
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:26.176011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.233
Q10.385
median0.539
Q30.773
95-th percentile1.656
Maximum2
Range2
Interquartile range (IQR)0.388

Descriptive statistics

Standard deviation0.39989171
Coefficient of variation (CV)0.63689135
Kurtosis4.6135146
Mean0.62788057
Median Absolute Deviation (MAD)0.19
Skewness1.9545765
Sum352.241
Variance0.15991338
MonotonicityNot monotonic
2024-05-11T09:11:26.843767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 27
 
0.3%
0.0 18
 
0.2%
0.75 5
 
0.1%
0.454 4
 
< 0.1%
0.538 4
 
< 0.1%
0.501 4
 
< 0.1%
0.872 4
 
< 0.1%
0.518 4
 
< 0.1%
0.292 4
 
< 0.1%
0.436 3
 
< 0.1%
Other values (358) 484
 
4.8%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.193 1
 
< 0.1%
0.201 1
 
< 0.1%
0.209 1
 
< 0.1%
0.225 1
 
< 0.1%
0.227 1
 
< 0.1%
0.228 2
 
< 0.1%
0.23 1
 
< 0.1%
0.231 1
 
< 0.1%
0.232 1
 
< 0.1%
ValueCountFrequency (%)
2.0 27
0.3%
1.742 1
 
< 0.1%
1.656 1
 
< 0.1%
1.642 1
 
< 0.1%
1.615 1
 
< 0.1%
1.614 1
 
< 0.1%
1.591 1
 
< 0.1%
1.577 1
 
< 0.1%
1.129 1
 
< 0.1%
1.1 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)16.9%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.15322816
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:27.474197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.037
Q10.055
median0.067
Q30.081
95-th percentile0.325
Maximum2
Range2
Interquartile range (IQR)0.026

Descriptive statistics

Standard deviation0.39295866
Coefficient of variation (CV)2.5645329
Kurtosis18.120117
Mean0.15322816
Median Absolute Deviation (MAD)0.013
Skewness4.4538171
Sum85.961
Variance0.15441651
MonotonicityNot monotonic
2024-05-11T09:11:28.208216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 24
 
0.2%
0.0 18
 
0.2%
0.061 17
 
0.2%
0.069 15
 
0.1%
0.065 14
 
0.1%
0.053 14
 
0.1%
0.077 14
 
0.1%
0.068 13
 
0.1%
0.062 13
 
0.1%
0.072 12
 
0.1%
Other values (85) 407
 
4.1%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.025 1
 
< 0.1%
0.033 1
 
< 0.1%
0.034 2
 
< 0.1%
0.035 3
 
< 0.1%
0.036 1
 
< 0.1%
0.037 4
 
< 0.1%
0.038 8
0.1%
0.039 4
 
< 0.1%
0.04 3
 
< 0.1%
ValueCountFrequency (%)
2.0 24
0.2%
0.391 1
 
< 0.1%
0.373 1
 
< 0.1%
0.349 1
 
< 0.1%
0.338 1
 
< 0.1%
0.325 1
 
< 0.1%
0.316 1
 
< 0.1%
0.306 2
 
< 0.1%
0.302 1
 
< 0.1%
0.282 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)15.7%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.14455615
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:28.859689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.031
Q10.048
median0.059
Q30.072
95-th percentile0.273
Maximum2
Range2
Interquartile range (IQR)0.024

Descriptive statistics

Standard deviation0.39402396
Coefficient of variation (CV)2.7257503
Kurtosis18.28697
Mean0.14455615
Median Absolute Deviation (MAD)0.012
Skewness4.4801617
Sum81.096
Variance0.15525488
MonotonicityNot monotonic
2024-05-11T09:11:29.544401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.051 25
 
0.2%
2.0 24
 
0.2%
0.0 18
 
0.2%
0.044 14
 
0.1%
0.058 14
 
0.1%
0.052 14
 
0.1%
0.065 14
 
0.1%
0.05 14
 
0.1%
0.06 14
 
0.1%
0.059 14
 
0.1%
Other values (78) 396
 
4.0%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.023 1
 
< 0.1%
0.024 1
 
< 0.1%
0.026 1
 
< 0.1%
0.028 1
 
< 0.1%
0.029 3
 
< 0.1%
0.03 3
 
< 0.1%
0.031 2
 
< 0.1%
0.032 6
 
0.1%
0.033 1
 
< 0.1%
ValueCountFrequency (%)
2.0 24
0.2%
0.338 1
 
< 0.1%
0.299 1
 
< 0.1%
0.294 1
 
< 0.1%
0.279 1
 
< 0.1%
0.273 1
 
< 0.1%
0.268 1
 
< 0.1%
0.264 1
 
< 0.1%
0.242 1
 
< 0.1%
0.216 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)15.0%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.13790374
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:30.556808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.042
median0.053
Q30.065
95-th percentile0.24
Maximum2
Range2
Interquartile range (IQR)0.023

Descriptive statistics

Standard deviation0.39513413
Coefficient of variation (CV)2.8652894
Kurtosis18.351977
Mean0.13790374
Median Absolute Deviation (MAD)0.012
Skewness4.490535
Sum77.364
Variance0.15613098
MonotonicityNot monotonic
2024-05-11T09:11:31.061872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 24
 
0.2%
0.039 23
 
0.2%
0.045 19
 
0.2%
0.056 19
 
0.2%
0.0 18
 
0.2%
0.054 17
 
0.2%
0.048 16
 
0.2%
0.044 15
 
0.1%
0.06 15
 
0.1%
0.053 14
 
0.1%
Other values (74) 381
 
3.8%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
0.2%
0.02 1
 
< 0.1%
0.023 2
 
< 0.1%
0.024 8
0.1%
0.025 6
 
0.1%
0.026 3
 
< 0.1%
0.027 3
 
< 0.1%
0.028 2
 
< 0.1%
0.029 2
 
< 0.1%
0.03 5
 
0.1%
ValueCountFrequency (%)
2.0 24
0.2%
0.306 1
 
< 0.1%
0.271 1
 
< 0.1%
0.257 1
 
< 0.1%
0.243 1
 
< 0.1%
0.24 1
 
< 0.1%
0.23 1
 
< 0.1%
0.227 1
 
< 0.1%
0.212 1
 
< 0.1%
0.115 1
 
< 0.1%

이산화황 최대(ppm)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.6%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.67646702
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:31.641752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.004
median0.004
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1.996

Descriptive statistics

Standard deviation0.94424329
Coefficient of variation (CV)1.3958453
Kurtosis-1.5265777
Mean0.67646702
Median Absolute Deviation (MAD)0
Skewness0.6919769
Sum379.498
Variance0.89159539
MonotonicityNot monotonic
2024-05-11T09:11:32.226939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.004 308
 
3.1%
2.0 189
 
1.9%
0.003 38
 
0.4%
0.0 18
 
0.2%
0.005 2
 
< 0.1%
0.053 2
 
< 0.1%
0.006 2
 
< 0.1%
0.013 1
 
< 0.1%
0.011 1
 
< 0.1%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
 
0.2%
0.003 38
 
0.4%
0.004 308
3.1%
0.005 2
 
< 0.1%
0.006 2
 
< 0.1%
0.011 1
 
< 0.1%
0.013 1
 
< 0.1%
0.053 2
 
< 0.1%
2.0 189
1.9%
ValueCountFrequency (%)
2.0 189
1.9%
0.053 2
 
< 0.1%
0.013 1
 
< 0.1%
0.011 1
 
< 0.1%
0.006 2
 
< 0.1%
0.005 2
 
< 0.1%
0.004 308
3.1%
0.003 38
 
0.4%
0.0 18
 
0.2%

이산화황 평균(ppm)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.2%
Missing9439
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.67626203
Minimum0
Maximum2
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:32.739512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.004
median0.004
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1.996

Descriptive statistics

Standard deviation0.94438487
Coefficient of variation (CV)1.3964777
Kurtosis-1.5265772
Mean0.67626203
Median Absolute Deviation (MAD)0
Skewness0.69200784
Sum379.383
Variance0.89186278
MonotonicityNot monotonic
2024-05-11T09:11:33.211975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.004 306
 
3.1%
2.0 189
 
1.9%
0.003 44
 
0.4%
0.0 18
 
0.2%
0.006 2
 
< 0.1%
0.008 1
 
< 0.1%
0.007 1
 
< 0.1%
(Missing) 9439
94.4%
ValueCountFrequency (%)
0.0 18
 
0.2%
0.003 44
 
0.4%
0.004 306
3.1%
0.006 2
 
< 0.1%
0.007 1
 
< 0.1%
0.008 1
 
< 0.1%
2.0 189
1.9%
ValueCountFrequency (%)
2.0 189
1.9%
0.008 1
 
< 0.1%
0.007 1
 
< 0.1%
0.006 2
 
< 0.1%
0.004 306
3.1%
0.003 44
 
0.4%
0.0 18
 
0.2%

이산화황 최소(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9439 
0.004
 
306
2.0
 
189
0.003
 
48
0.0
 
18

Length

Max length5
Median length4
Mean length4.0147
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9439
94.4%
0.004 306
 
3.1%
2.0 189
 
1.9%
0.003 48
 
0.5%
0.0 18
 
0.2%

Length

2024-05-11T09:11:33.656348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:11:34.016971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9439
94.4%
0.004 306
 
3.1%
2.0 189
 
1.9%
0.003 48
 
0.5%
0.0 18
 
0.2%

암모니아 최대(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9583 
0
 
417

Length

Max length4
Median length4
Mean length3.8749
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9583
95.8%
0 417
 
4.2%

Length

2024-05-11T09:11:34.546709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:11:35.019216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9583
95.8%
0 417
 
4.2%

암모니아 평균(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9583 
0
 
417

Length

Max length4
Median length4
Mean length3.8749
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9583
95.8%
0 417
 
4.2%

Length

2024-05-11T09:11:35.381608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:11:35.833181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9583
95.8%
0 417
 
4.2%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9583 
0
 
417

Length

Max length4
Median length4
Mean length3.8749
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9583
95.8%
0 417
 
4.2%

Length

2024-05-11T09:11:36.142140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:11:36.524600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9583
95.8%
0 417
 
4.2%

황화수소 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)3.1%
Missing9583
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean0.00053477218
Minimum0
Maximum0.012
Zeros353
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:36.948642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.004
Maximum0.012
Range0.012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0017648721
Coefficient of variation (CV)3.3002317
Kurtosis20.31552
Mean0.00053477218
Median Absolute Deviation (MAD)0
Skewness4.3633835
Sum0.223
Variance3.1147736 × 10-6
MonotonicityNot monotonic
2024-05-11T09:11:37.384739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 353
 
3.5%
0.001 23
 
0.2%
0.002 14
 
0.1%
0.004 6
 
0.1%
0.003 5
 
0.1%
0.006 4
 
< 0.1%
0.011 3
 
< 0.1%
0.01 3
 
< 0.1%
0.005 2
 
< 0.1%
0.008 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 9583
95.8%
ValueCountFrequency (%)
0.0 353
3.5%
0.001 23
 
0.2%
0.002 14
 
0.1%
0.003 5
 
0.1%
0.004 6
 
0.1%
0.005 2
 
< 0.1%
0.006 4
 
< 0.1%
0.007 1
 
< 0.1%
0.008 1
 
< 0.1%
0.009 1
 
< 0.1%
ValueCountFrequency (%)
0.012 1
 
< 0.1%
0.011 3
< 0.1%
0.01 3
< 0.1%
0.009 1
 
< 0.1%
0.008 1
 
< 0.1%
0.007 1
 
< 0.1%
0.006 4
< 0.1%
0.005 2
 
< 0.1%
0.004 6
0.1%
0.003 5
0.1%

황화수소 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.6%
Missing9583
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean0.00031414868
Minimum0
Maximum0.011
Zeros383
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:37.800929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0012
Maximum0.011
Range0.011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0014393563
Coefficient of variation (CV)4.5817676
Kurtosis32.838396
Mean0.00031414868
Median Absolute Deviation (MAD)0
Skewness5.6391416
Sum0.131
Variance2.0717464 × 10-6
MonotonicityNot monotonic
2024-05-11T09:11:38.321450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 383
 
3.8%
0.001 13
 
0.1%
0.002 5
 
0.1%
0.003 4
 
< 0.1%
0.01 3
 
< 0.1%
0.009 3
 
< 0.1%
0.004 2
 
< 0.1%
0.007 1
 
< 0.1%
0.005 1
 
< 0.1%
0.008 1
 
< 0.1%
(Missing) 9583
95.8%
ValueCountFrequency (%)
0.0 383
3.8%
0.001 13
 
0.1%
0.002 5
 
0.1%
0.003 4
 
< 0.1%
0.004 2
 
< 0.1%
0.005 1
 
< 0.1%
0.007 1
 
< 0.1%
0.008 1
 
< 0.1%
0.009 3
 
< 0.1%
0.01 3
 
< 0.1%
ValueCountFrequency (%)
0.011 1
 
< 0.1%
0.01 3
 
< 0.1%
0.009 3
 
< 0.1%
0.008 1
 
< 0.1%
0.007 1
 
< 0.1%
0.005 1
 
< 0.1%
0.004 2
 
< 0.1%
0.003 4
 
< 0.1%
0.002 5
 
0.1%
0.001 13
0.1%

황화수소 최소(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)2.4%
Missing9583
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean0.00021103118
Minimum0
Maximum0.01
Zeros399
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:38.740824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.01
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0012202511
Coefficient of variation (CV)5.782326
Kurtosis40.278819
Mean0.00021103118
Median Absolute Deviation (MAD)0
Skewness6.346329
Sum0.088
Variance1.4890126 × 10-6
MonotonicityNot monotonic
2024-05-11T09:11:39.229423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 399
 
4.0%
0.001 6
 
0.1%
0.008 4
 
< 0.1%
0.009 2
 
< 0.1%
0.006 1
 
< 0.1%
0.004 1
 
< 0.1%
0.007 1
 
< 0.1%
0.002 1
 
< 0.1%
0.01 1
 
< 0.1%
0.003 1
 
< 0.1%
(Missing) 9583
95.8%
ValueCountFrequency (%)
0.0 399
4.0%
0.001 6
 
0.1%
0.002 1
 
< 0.1%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
0.006 1
 
< 0.1%
0.007 1
 
< 0.1%
0.008 4
 
< 0.1%
0.009 2
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
0.01 1
 
< 0.1%
0.009 2
 
< 0.1%
0.008 4
 
< 0.1%
0.007 1
 
< 0.1%
0.006 1
 
< 0.1%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.002 1
 
< 0.1%
0.001 6
 
0.1%
0.0 399
4.0%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)32.5%
Missing9772
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.40045614
Minimum0
Maximum2
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:39.754922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.037
median0.0465
Q30.375
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.338

Descriptive statistics

Standard deviation0.69590571
Coefficient of variation (CV)1.7377826
Kurtosis1.4309037
Mean0.40045614
Median Absolute Deviation (MAD)0.013
Skewness1.7913898
Sum91.304
Variance0.48428476
MonotonicityNot monotonic
2024-05-11T09:11:40.269770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 35
 
0.4%
0.0 11
 
0.1%
0.046 11
 
0.1%
0.041 9
 
0.1%
0.036 8
 
0.1%
0.047 6
 
0.1%
0.034 6
 
0.1%
0.043 6
 
0.1%
0.042 6
 
0.1%
0.037 6
 
0.1%
Other values (64) 124
 
1.2%
(Missing) 9772
97.7%
ValueCountFrequency (%)
0.0 11
0.1%
0.002 4
 
< 0.1%
0.003 4
 
< 0.1%
0.004 1
 
< 0.1%
0.024 3
 
< 0.1%
0.026 2
 
< 0.1%
0.027 3
 
< 0.1%
0.028 1
 
< 0.1%
0.031 1
 
< 0.1%
0.032 3
 
< 0.1%
ValueCountFrequency (%)
2.0 35
0.4%
0.551 1
 
< 0.1%
0.489 1
 
< 0.1%
0.482 1
 
< 0.1%
0.462 1
 
< 0.1%
0.446 1
 
< 0.1%
0.445 1
 
< 0.1%
0.441 2
 
< 0.1%
0.429 1
 
< 0.1%
0.425 1
 
< 0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)30.7%
Missing9772
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.39672807
Minimum0
Maximum2
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:40.866120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.034
median0.044
Q30.36925
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.33525

Descriptive statistics

Standard deviation0.69669553
Coefficient of variation (CV)1.7561034
Kurtosis1.4509729
Mean0.39672807
Median Absolute Deviation (MAD)0.013
Skewness1.7995949
Sum90.454
Variance0.48538466
MonotonicityNot monotonic
2024-05-11T09:11:41.501552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 35
 
0.4%
0.0 11
 
0.1%
0.044 10
 
0.1%
0.04 10
 
0.1%
0.002 9
 
0.1%
0.037 9
 
0.1%
0.045 8
 
0.1%
0.032 7
 
0.1%
0.031 6
 
0.1%
0.053 6
 
0.1%
Other values (60) 117
 
1.2%
(Missing) 9772
97.7%
ValueCountFrequency (%)
0.0 11
0.1%
0.002 9
0.1%
0.023 3
 
< 0.1%
0.025 3
 
< 0.1%
0.026 2
 
< 0.1%
0.027 4
 
< 0.1%
0.029 1
 
< 0.1%
0.03 1
 
< 0.1%
0.031 6
0.1%
0.032 7
0.1%
ValueCountFrequency (%)
2.0 35
0.4%
0.507 1
 
< 0.1%
0.482 1
 
< 0.1%
0.452 1
 
< 0.1%
0.437 1
 
< 0.1%
0.432 1
 
< 0.1%
0.43 1
 
< 0.1%
0.429 1
 
< 0.1%
0.416 1
 
< 0.1%
0.415 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)31.1%
Missing9772
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.39397368
Minimum0
Maximum2
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:11:41.999059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.031
median0.042
Q30.366
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.335

Descriptive statistics

Standard deviation0.69744058
Coefficient of variation (CV)1.770272
Kurtosis1.4619023
Mean0.39397368
Median Absolute Deviation (MAD)0.014
Skewness1.8040711
Sum89.826
Variance0.48642336
MonotonicityNot monotonic
2024-05-11T09:11:42.635676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 35
 
0.4%
0.0 11
 
0.1%
0.043 10
 
0.1%
0.03 9
 
0.1%
0.001 8
 
0.1%
0.036 8
 
0.1%
0.04 8
 
0.1%
0.039 8
 
0.1%
0.051 6
 
0.1%
0.035 6
 
0.1%
Other values (61) 119
 
1.2%
(Missing) 9772
97.7%
ValueCountFrequency (%)
0.0 11
0.1%
0.001 8
0.1%
0.002 1
 
< 0.1%
0.021 3
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 4
 
< 0.1%
0.025 4
 
< 0.1%
0.026 1
 
< 0.1%
0.027 3
 
< 0.1%
ValueCountFrequency (%)
2.0 35
0.4%
0.475 2
 
< 0.1%
0.437 1
 
< 0.1%
0.431 1
 
< 0.1%
0.423 1
 
< 0.1%
0.42 1
 
< 0.1%
0.407 1
 
< 0.1%
0.406 1
 
< 0.1%
0.404 1
 
< 0.1%
0.402 1
 
< 0.1%

등록일시
Date

Distinct857
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-25 00:07:23
Maximum2023-12-25 15:07:38
2024-05-11T09:11:43.204526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:11:43.610951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

모델번호시리얼측정시간지역자치구행정동초미세먼지 최대(㎍/㎥)초미세먼지 평균(㎍/㎥)초미세먼지 최소(㎍/㎥)미세먼지 최대(㎍/㎥)미세먼지 평균(㎍/㎥)미세먼지 최소(㎍/㎥)온도 최대(℃)온도 평균(℃)온도 최소(℃)습도 최대(%)습도 평균(%)습도 최소(%)풍속 최대(m/s)풍속 평균(m/s)풍속 최소(m/s)풍향 최대(m/s)풍향 평균(m/s)풍향 최소(m/s)조도 최대(lux)조도 평균(lux)조도 최소(lux)자외선 최대(UV)자외선 평균(UV)자외선 최대(UV).1소음 최대(dB)소음 평균(dB)소음 최소(dB)진동(x) 최대(mm/s)진동(x) 평균(mm/s)진동(x) 최소(mm/s)진동(y) 최대(mm/s)진동(y) 평균(mm/s)진동(y) 최소(mm/s)진동(z) 최대(mm/s)진동(z) 평균(mm/s)진동(z) 최소(mm/s)흑구온도 최대(℃)흑구온도 평균(℃)흑구온도 최소(℃)이산화질소 최대(ppm)이산화질소 평균(ppm)이산화질소 최소(ppm)일산화탄소 최대(ppm)일산화탄소 평균(ppm)일산화탄소 최소(ppm)이산화황 최대(ppm)이산화황 평균(ppm)이산화황 최소(ppm)암모니아 최대(ppm)암모니아 평균(ppm)암모니아 최소(ppm)황화수소 최대(ppm)황화수소 평균(ppm)황화수소 최소(ppm)오존 최대(ppm)오존 평균(ppm)오존 최소(ppm)등록일시
8480SDOT001V02Q19406942023-12-25_09:07:00residential_areaGwanak-guCheongnyong-dong0000002.01.40.8817874<NA><NA><NA><NA><NA><NA>9024541470.00.00.04444440.010.010.010.040.040.041.01.01.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 09:07:33
12331SDOT001V02Q19407652023-12-25_12:07:00residential_areaYangcheon-guSinjeong7-dong6352356956383.02.52.1787570<NA><NA><NA><NA><NA><NA>3446257118300.20.20.15149470.030.030.030.040.030.031.011.011.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 12:08:20
7263SDOT001V02Q19401612023-12-25_07:07:00residential_areaGangnam-guApgujeong-dong0001000100010000.0-0.2-0.3838383<NA><NA><NA><NA><NA><NA>0000.00.00.05552500.020.020.020.020.020.011.061.061.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 07:08:22
2150SDOT001V02Q19405002023-12-25_03:07:00residential_areaJung-guDonghwa-dong2113220.30.30.1807979<NA><NA><NA><NA><NA><NA>101090.00.00.04838360.020.020.010.10.10.091.021.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 03:07:26
3137SDOT001OC3CL2000202023-12-25_03:07:00main_streetGangnam-guYeoksam1-dong1513111614120.1-0.1-0.4100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>666259<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 03:08:23
10069SDOT001OC3CL2002232023-12-25_10:07:00residential_areaSeocho-guBanpobon-dong5654526159570.5-0.6-1.7100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>676360<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 10:08:11
2728SDOT001V02Q19406552023-12-25_03:07:00residential_areaJongno-guGahoe-dong2221202423221.10.90.6777776<NA><NA><NA><NA><NA><NA>0000.00.00.04844410.020.020.010.020.020.011.041.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 03:08:07
3313SDOT001OC3CL2001652023-12-25_04:07:00roads_and_parksSongpa-guJangji-dong222019242220-1.8-1.9-2.0949391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6559550.020.020.010.020.020.021.11.091.08<NA><NA><NA>0.4590.4680.450.0740.060.0560.0040.0040.004<NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 04:07:35
7232SDOT001OC3CL2000312023-12-25_07:07:00traditional_marketsSeodaemun-guHongje3-dong211322-0.6-0.8-1.1828181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>504948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 07:08:21
4401SDOT001V02Q19406852023-12-25_05:07:00residential_areaGwanak-guMiseong-dong6557660.80.60.4838077<NA><NA><NA><NA><NA><NA>0000.00.00.04745440.010.010.00.030.020.021.031.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 05:07:40
모델번호시리얼측정시간지역자치구행정동초미세먼지 최대(㎍/㎥)초미세먼지 평균(㎍/㎥)초미세먼지 최소(㎍/㎥)미세먼지 최대(㎍/㎥)미세먼지 평균(㎍/㎥)미세먼지 최소(㎍/㎥)온도 최대(℃)온도 평균(℃)온도 최소(℃)습도 최대(%)습도 평균(%)습도 최소(%)풍속 최대(m/s)풍속 평균(m/s)풍속 최소(m/s)풍향 최대(m/s)풍향 평균(m/s)풍향 최소(m/s)조도 최대(lux)조도 평균(lux)조도 최소(lux)자외선 최대(UV)자외선 평균(UV)자외선 최대(UV).1소음 최대(dB)소음 평균(dB)소음 최소(dB)진동(x) 최대(mm/s)진동(x) 평균(mm/s)진동(x) 최소(mm/s)진동(y) 최대(mm/s)진동(y) 평균(mm/s)진동(y) 최소(mm/s)진동(z) 최대(mm/s)진동(z) 평균(mm/s)진동(z) 최소(mm/s)흑구온도 최대(℃)흑구온도 평균(℃)흑구온도 최소(℃)이산화질소 최대(ppm)이산화질소 평균(ppm)이산화질소 최소(ppm)일산화탄소 최대(ppm)일산화탄소 평균(ppm)일산화탄소 최소(ppm)이산화황 최대(ppm)이산화황 평균(ppm)이산화황 최소(ppm)암모니아 최대(ppm)암모니아 평균(ppm)암모니아 최소(ppm)황화수소 최대(ppm)황화수소 평균(ppm)황화수소 최소(ppm)오존 최대(ppm)오존 평균(ppm)오존 최소(ppm)등록일시
8134SDOT001V02Q19406972023-12-25_08:07:00industrial_areaMapo-guSangam-dong2113220.50.20.0848483<NA><NA><NA><NA><NA><NA>971900.00.00.05548440.020.010.010.060.060.061.011.01.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 08:08:18
4808SDOT001V02Q19403912023-12-25_05:07:00residential_areaGwangjin-guJayang2-dong000100010001000-0.7-0.8-1.0838282<NA><NA><NA><NA><NA><NA>0000.00.00.04639360.020.020.020.030.020.021.051.051.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 05:08:07
4161SDOT001V02Q19402462023-12-25_04:07:00residential_areaGangnam-guIlwon2-dong322928353230-1.0-1.2-1.4848282<NA><NA><NA><NA><NA><NA>0000.00.00.0403937<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 04:08:23
4249SDOT001OC3CL2000412023-12-25_05:07:00main_streetJung-guBuam-dong<NA><NA><NA><NA><NA><NA>-1.1-1.3-1.4838180<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>434241<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 05:07:26
3659SDOT001V02Q19403902023-12-25_04:07:00industrial_areaDobong-guChang4-dong242221262423-1.1-1.1-1.2848382<NA><NA><NA><NA><NA><NA>0000.00.00.04240390.020.020.010.030.020.021.081.081.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 04:08:00
8081SDOT001V02Q19403622023-12-25_08:07:00commercial_areaSeongbuk-guGileum1-dong222120242322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000.00.00.06058560.020.020.010.070.070.061.041.041.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 08:08:16
3354SDOT001V02Q19406752023-12-25_04:07:00residential_areaGwanak-guCheongnyong-dong3331293634310.1-0.1-0.2828180<NA><NA><NA><NA><NA><NA>0000.00.00.05146430.030.020.020.090.080.081.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 04:07:39
3113SDOT001V02Q19401492023-12-25_03:07:00residential_areaGangnam-guDogok2-dong222017242218-0.2-0.5-0.9807775<NA><NA><NA><NA><NA><NA>0000.00.00.04844440.040.040.030.050.040.041.041.041.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 03:08:23
8723SDOT001OC3CL2001372023-12-25_09:07:00roads_and_parksDobong-guChang4-dong262423282625-0.5-0.8-1.01001001000.50.20.1215.0195.0170.0<NA><NA><NA><NA><NA><NA>353535<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000.00.00.0<NA><NA><NA>2023-12-25 09:07:52
13692SDOT001OC3CL2000662023-12-25_02:07:00residential_areaGangbuk-guSongcheon-dong14108151194.73.41.9625753<NA><NA><NA><NA><NA><NA>869034301545300.30.10.0585652<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2023-12-25 14:07:35