Overview

Dataset statistics

Number of variables64
Number of observations10000
Missing cells264762
Missing cells (%)41.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory577.0 B

Variable types

Categorical7
Text2
Numeric51
Unsupported3
DateTime1

Dataset

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

Alerts

모델번호 has constant value ""Constant
암모니아 최대(ppm) is highly imbalanced (83.7%)Imbalance
암모니아 평균(ppm) is highly imbalanced (83.7%)Imbalance
암모니아 최소(ppm) is highly imbalanced (74.3%)Imbalance
온도 최대(℃) has 514 (5.1%) missing valuesMissing
온도 평균(℃) has 514 (5.1%) missing valuesMissing
온도 최소(℃) has 514 (5.1%) missing valuesMissing
습도 최대(%) has 514 (5.1%) missing valuesMissing
습도 평균(%) has 514 (5.1%) missing valuesMissing
습도 최소(%) has 514 (5.1%) missing valuesMissing
풍속 최대(m/s) has 9478 (94.8%) missing valuesMissing
풍속 평균(m/s) has 9478 (94.8%) missing valuesMissing
풍속 최소(m/s) has 9478 (94.8%) missing valuesMissing
풍향 최대(m/s) has 9478 (94.8%) missing valuesMissing
풍향 평균(m/s) has 9478 (94.8%) missing valuesMissing
풍향 최소(m/s) has 9478 (94.8%) missing valuesMissing
조도 최대(lux) has 2049 (20.5%) missing valuesMissing
조도 평균(lux) has 2049 (20.5%) missing valuesMissing
조도 최소(lux) has 2049 (20.5%) missing valuesMissing
자외선 최대(UV) has 1974 (19.7%) missing valuesMissing
자외선 평균(UV) has 1974 (19.7%) missing valuesMissing
자외선 최대(UV).1 has 1974 (19.7%) missing valuesMissing
소음 최대(dB) has 241 (2.4%) missing valuesMissing
소음 평균(dB) has 241 (2.4%) missing valuesMissing
소음 최소(dB) has 241 (2.4%) missing valuesMissing
진동(x) 최대(mm/s) has 2122 (21.2%) missing valuesMissing
진동(x) 평균(mm/s) has 2122 (21.2%) missing valuesMissing
진동(x) 최소(mm/s) has 2122 (21.2%) missing valuesMissing
진동(y) 최대(mm/s) has 2122 (21.2%) missing valuesMissing
진동(y) 평균(mm/s) has 2122 (21.2%) missing valuesMissing
진동(y) 최소(mm/s) has 2122 (21.2%) missing valuesMissing
진동(z) 최대(mm/s) has 2122 (21.2%) missing valuesMissing
진동(z) 평균(mm/s) has 2122 (21.2%) missing valuesMissing
진동(z) 최소(mm/s) has 2122 (21.2%) 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 9404 (94.0%) missing valuesMissing
이산화질소 평균(ppm) has 9404 (94.0%) missing valuesMissing
이산화질소 최소(ppm) has 9404 (94.0%) missing valuesMissing
일산화탄소 최대(ppm) has 9404 (94.0%) missing valuesMissing
일산화탄소 평균(ppm) has 9404 (94.0%) missing valuesMissing
일산화탄소 최소(ppm) has 9404 (94.0%) missing valuesMissing
이산화황 최대(ppm) has 9404 (94.0%) missing valuesMissing
이산화황 평균(ppm) has 9404 (94.0%) missing valuesMissing
이산화황 최소(ppm) has 9404 (94.0%) missing valuesMissing
황화수소 최대(ppm) has 9567 (95.7%) missing valuesMissing
황화수소 평균(ppm) has 9567 (95.7%) missing valuesMissing
황화수소 최소(ppm) has 9567 (95.7%) missing valuesMissing
오존 최대(ppm) has 9765 (97.7%) missing valuesMissing
오존 평균(ppm) has 9765 (97.7%) missing valuesMissing
오존 최소(ppm) has 9765 (97.7%) missing valuesMissing
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 24.29109234)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 26.29311201)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 264 (2.6%) zerosZeros
초미세먼지 평균(㎍/㎥) has 266 (2.7%) zerosZeros
초미세먼지 최소(㎍/㎥) has 274 (2.7%) zerosZeros
조도 최대(lux) has 3744 (37.4%) zerosZeros
조도 평균(lux) has 3771 (37.7%) zerosZeros
조도 최소(lux) has 4137 (41.4%) zerosZeros
자외선 최대(UV) has 5988 (59.9%) zerosZeros
자외선 평균(UV) has 6168 (61.7%) zerosZeros
자외선 최대(UV).1 has 6541 (65.4%) zerosZeros
진동(x) 최소(mm/s) has 285 (2.9%) zerosZeros
황화수소 최대(ppm) has 388 (3.9%) zerosZeros
황화수소 평균(ppm) has 407 (4.1%) zerosZeros
황화수소 최소(ppm) has 416 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 09:12:01.436137
Analysis finished2024-05-11 09:12:03.612900
Duration2.18 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

2024-05-11T09:12:03.934094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:12:04.294837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 10000
100.0%
Distinct1034
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:12:05.005454image/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

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowV02Q1940155
2nd rowOC3CL200027
3rd rowV02Q1940372
4th rowV02Q1940621
5th rowV02Q1940454
ValueCountFrequency (%)
v02q1940599 18
 
0.2%
v02q1940570 17
 
0.2%
v02q1940675 17
 
0.2%
v02q1940102 16
 
0.2%
v02q1940068 16
 
0.2%
v02q1940668 16
 
0.2%
v02q1940811 16
 
0.2%
v02q1940515 16
 
0.2%
v02q1940206 16
 
0.2%
oc3cl200240 16
 
0.2%
Other values (1024) 9836
98.4%
2024-05-11T09:12:06.428193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23281
21.2%
2 13556
12.3%
1 11621
10.6%
4 10516
9.6%
9 9453
8.6%
V 7523
 
6.8%
Q 7523
 
6.8%
3 5459
 
5.0%
C 4887
 
4.4%
7 2887
 
2.6%
Other values (6) 13294
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85046
77.3%
Uppercase Letter 24954
 
22.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23281
27.4%
2 13556
15.9%
1 11621
13.7%
4 10516
12.4%
9 9453
11.1%
3 5459
 
6.4%
7 2887
 
3.4%
5 2852
 
3.4%
6 2757
 
3.2%
8 2664
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 7523
30.1%
Q 7523
30.1%
C 4887
19.6%
O 2477
 
9.9%
L 2477
 
9.9%
D 67
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 85046
77.3%
Latin 24954
 
22.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23281
27.4%
2 13556
15.9%
1 11621
13.7%
4 10516
12.4%
9 9453
11.1%
3 5459
 
6.4%
7 2887
 
3.4%
5 2852
 
3.4%
6 2757
 
3.2%
8 2664
 
3.1%
Latin
ValueCountFrequency (%)
V 7523
30.1%
Q 7523
30.1%
C 4887
19.6%
O 2477
 
9.9%
L 2477
 
9.9%
D 67
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23281
21.2%
2 13556
12.3%
1 11621
10.6%
4 10516
9.6%
9 9453
8.6%
V 7523
 
6.8%
Q 7523
 
6.8%
3 5459
 
5.0%
C 4887
 
4.4%
7 2887
 
2.6%
Other values (6) 13294
12.1%

측정시간
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-01_10:07:00
796 
2024-01-01_07:07:00
783 
2024-01-01_09:07:00
770 
2024-01-01_03:07:00
764 
2024-01-01_12:07:00
763 
Other values (12)
6124 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-01_05:07:00
2nd row2024-01-01_06:07:00
3rd row2024-01-01_06:07:00
4th row2024-01-01_05:07:00
5th row2024-01-01_04:07:00

Common Values

ValueCountFrequency (%)
2024-01-01_10:07:00 796
 
8.0%
2024-01-01_07:07:00 783
 
7.8%
2024-01-01_09:07:00 770
 
7.7%
2024-01-01_03:07:00 764
 
7.6%
2024-01-01_12:07:00 763
 
7.6%
2024-01-01_11:07:00 753
 
7.5%
2024-01-01_01:07:00 752
 
7.5%
2024-01-01_05:07:00 751
 
7.5%
2024-01-01_04:07:00 735
 
7.3%
2024-01-01_06:07:00 734
 
7.3%
Other values (7) 2399
24.0%

Length

2024-05-11T09:12:06.859569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-01-01_10:07:00 796
 
8.0%
2024-01-01_07:07:00 783
 
7.8%
2024-01-01_09:07:00 770
 
7.7%
2024-01-01_03:07:00 764
 
7.6%
2024-01-01_12:07:00 763
 
7.6%
2024-01-01_11:07:00 753
 
7.5%
2024-01-01_01:07:00 752
 
7.5%
2024-01-01_05:07:00 751
 
7.5%
2024-01-01_04:07:00 735
 
7.3%
2024-01-01_06:07:00 734
 
7.3%
Other values (7) 2399
24.0%

지역
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
residential_area
7019 
roads_and_parks
1272 
traditional_markets
 
464
industrial_area
 
381
main_street
 
380
Other values (3)
 
484

Length

Max length19
Median length16
Mean length15.6553
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
residential_area 7019
70.2%
roads_and_parks 1272
 
12.7%
traditional_markets 464
 
4.6%
industrial_area 381
 
3.8%
main_street 380
 
3.8%
commercial_area 339
 
3.4%
parks 91
 
0.9%
public_facilities 54
 
0.5%

Length

2024-05-11T09:12:07.289708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:12:07.661522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 7019
70.2%
roads_and_parks 1272
 
12.7%
traditional_markets 464
 
4.6%
industrial_area 381
 
3.8%
main_street 380
 
3.8%
commercial_area 339
 
3.4%
parks 91
 
0.9%
public_facilities 54
 
0.5%

자치구
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Yangcheon-gu
772 
Gangdong-gu
725 
Mapo-gu
720 
Gwanak-gu
666 
Seongdong-gu
 
646
Other values (21)
6471 

Length

Max length16
Median length13
Mean length10.1163
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNowon-gu
2nd rowGangseo-gu
3rd rowGangdong-gu
4th rowMapo-gu
5th rowSeongdong-gu

Common Values

ValueCountFrequency (%)
Yangcheon-gu 772
 
7.7%
Gangdong-gu 725
 
7.2%
Mapo-gu 720
 
7.2%
Gwanak-gu 666
 
6.7%
Seongdong-gu 646
 
6.5%
Jongno-gu 497
 
5.0%
Gangseo-gu 432
 
4.3%
Jung-gu 410
 
4.1%
Songpa-gu 409
 
4.1%
Gangnam-gu 397
 
4.0%
Other values (16) 4326
43.3%

Length

2024-05-11T09:12:08.070687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 772
 
7.7%
gangdong-gu 725
 
7.2%
mapo-gu 720
 
7.2%
gwanak-gu 666
 
6.7%
seongdong-gu 646
 
6.5%
jongno-gu 497
 
5.0%
gangseo-gu 432
 
4.3%
jung-gu 410
 
4.1%
songpa-gu 409
 
4.1%
gangnam-gu 397
 
4.0%
Other values (16) 4326
43.3%
Distinct403
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:12:08.901880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.5159
Min length7

Characters and Unicode

Total characters125159
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 rowWolgye2-dong
2nd rowGayang-dong1
3rd rowAmsa2-dong
4th rowHapjeong-dong
5th rowYongdap-dong
ValueCountFrequency (%)
cheonho2-dong 117
 
1.2%
amsa1-dong 111
 
1.1%
mangwon-dong1 95
 
0.9%
seongsan-dong2 90
 
0.9%
sinjeong3-dong 85
 
0.9%
ihwa-dong 84
 
0.8%
mok5-dong 83
 
0.8%
sinllim-dong 82
 
0.8%
yeomchang-dong 82
 
0.8%
mok2-dong 72
 
0.7%
Other values (393) 9099
91.0%
2024-05-11T09:12:10.336375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 20507
16.4%
o 17542
14.0%
g 17398
13.9%
- 10708
 
8.6%
d 10612
 
8.5%
a 7104
 
5.7%
e 5127
 
4.1%
S 2843
 
2.3%
i 2466
 
2.0%
1 2458
 
2.0%
Other values (42) 28394
22.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 97184
77.6%
Dash Punctuation 10708
 
8.6%
Uppercase Letter 10045
 
8.0%
Decimal Number 6863
 
5.5%
Other Punctuation 342
 
0.3%
Connector Punctuation 17
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 20507
21.1%
o 17542
18.1%
g 17398
17.9%
d 10612
10.9%
a 7104
 
7.3%
e 5127
 
5.3%
i 2466
 
2.5%
h 2454
 
2.5%
u 2397
 
2.5%
m 1571
 
1.6%
Other values (12) 10006
10.3%
Uppercase Letter
ValueCountFrequency (%)
S 2843
28.3%
G 988
 
9.8%
M 867
 
8.6%
J 807
 
8.0%
B 767
 
7.6%
H 687
 
6.8%
C 660
 
6.6%
D 627
 
6.2%
Y 580
 
5.8%
I 361
 
3.6%
Other values (7) 858
 
8.5%
Decimal Number
ValueCountFrequency (%)
1 2458
35.8%
2 2146
31.3%
3 1064
15.5%
4 593
 
8.6%
5 230
 
3.4%
7 153
 
2.2%
6 151
 
2.2%
8 48
 
0.7%
9 13
 
0.2%
0 7
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10708
100.0%
Other Punctuation
ValueCountFrequency (%)
. 342
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 107229
85.7%
Common 17930
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 20507
19.1%
o 17542
16.4%
g 17398
16.2%
d 10612
9.9%
a 7104
 
6.6%
e 5127
 
4.8%
S 2843
 
2.7%
i 2466
 
2.3%
h 2454
 
2.3%
u 2397
 
2.2%
Other values (29) 18779
17.5%
Common
ValueCountFrequency (%)
- 10708
59.7%
1 2458
 
13.7%
2 2146
 
12.0%
3 1064
 
5.9%
4 593
 
3.3%
. 342
 
1.9%
5 230
 
1.3%
7 153
 
0.9%
6 151
 
0.8%
8 48
 
0.3%
Other values (3) 37
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 20507
16.4%
o 17542
14.0%
g 17398
13.9%
- 10708
 
8.6%
d 10612
 
8.5%
a 7104
 
5.7%
e 5127
 
4.1%
S 2843
 
2.3%
i 2466
 
2.0%
1 2458
 
2.0%
Other values (42) 28394
22.7%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct178
Distinct (%)1.8%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean24.306069
Minimum0
Maximum1000
Zeros264
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:11.258926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median19
Q329
95-th percentile50
Maximum1000
Range1000
Interquartile range (IQR)18

Descriptive statistics

Standard deviation50.155731
Coefficient of variation (CV)2.0635065
Kurtosis270.40152
Mean24.306069
Median Absolute Deviation (MAD)9
Skewness15.04342
Sum241894
Variance2515.5974
MonotonicityNot monotonic
2024-05-11T09:12:11.896965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1247
 
12.5%
18 365
 
3.6%
17 359
 
3.6%
19 327
 
3.3%
15 327
 
3.3%
16 303
 
3.0%
23 300
 
3.0%
20 294
 
2.9%
22 294
 
2.9%
21 283
 
2.8%
Other values (168) 5853
58.5%
ValueCountFrequency (%)
0 264
 
2.6%
1 98
 
1.0%
2 1247
12.5%
3 83
 
0.8%
4 53
 
0.5%
5 95
 
0.9%
6 63
 
0.6%
7 74
 
0.7%
8 142
 
1.4%
9 167
 
1.7%
ValueCountFrequency (%)
1000 17
0.2%
873 1
 
< 0.1%
726 1
 
< 0.1%
713 1
 
< 0.1%
678 1
 
< 0.1%
606 1
 
< 0.1%
587 1
 
< 0.1%
547 1
 
< 0.1%
518 1
 
< 0.1%
488 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct103
Distinct (%)1.0%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean19.159365
Minimum0
Maximum1000
Zeros266
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:12.527651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median17
Q325
95-th percentile42
Maximum1000
Range1000
Interquartile range (IQR)16

Descriptive statistics

Standard deviation32.854502
Coefficient of variation (CV)1.7148012
Kurtosis717.02655
Mean19.159365
Median Absolute Deviation (MAD)8
Skewness24.291092
Sum190674
Variance1079.4183
MonotonicityNot monotonic
2024-05-11T09:12:13.191363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1062
 
10.6%
16 412
 
4.1%
17 397
 
4.0%
15 378
 
3.8%
14 362
 
3.6%
19 346
 
3.5%
2 338
 
3.4%
18 330
 
3.3%
13 319
 
3.2%
12 318
 
3.2%
Other values (93) 5690
56.9%
ValueCountFrequency (%)
0 266
 
2.7%
1 1062
10.6%
2 338
 
3.4%
3 75
 
0.8%
4 61
 
0.6%
5 117
 
1.2%
6 91
 
0.9%
7 162
 
1.6%
8 195
 
1.9%
9 208
 
2.1%
ValueCountFrequency (%)
1000 9
0.1%
271 1
 
< 0.1%
266 1
 
< 0.1%
194 1
 
< 0.1%
191 1
 
< 0.1%
181 1
 
< 0.1%
167 1
 
< 0.1%
144 1
 
< 0.1%
133 1
 
< 0.1%
126 1
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct86
Distinct (%)0.9%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean16.921121
Minimum0
Maximum1000
Zeros274
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:13.663196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median15
Q322
95-th percentile38
Maximum1000
Range1000
Interquartile range (IQR)14

Descriptive statistics

Standard deviation32.000347
Coefficient of variation (CV)1.8911481
Kurtosis803.24817
Mean16.921121
Median Absolute Deviation (MAD)7
Skewness26.293112
Sum168399
Variance1024.0222
MonotonicityNot monotonic
2024-05-11T09:12:14.196567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1363
 
13.6%
12 425
 
4.2%
15 419
 
4.2%
16 403
 
4.0%
13 396
 
4.0%
14 395
 
4.0%
11 350
 
3.5%
17 345
 
3.5%
10 339
 
3.4%
18 333
 
3.3%
Other values (76) 5184
51.8%
ValueCountFrequency (%)
0 274
 
2.7%
1 1363
13.6%
2 86
 
0.9%
3 81
 
0.8%
4 93
 
0.9%
5 150
 
1.5%
6 165
 
1.7%
7 231
 
2.3%
8 266
 
2.7%
9 297
 
3.0%
ValueCountFrequency (%)
1000 9
0.1%
161 1
 
< 0.1%
139 1
 
< 0.1%
114 1
 
< 0.1%
108 1
 
< 0.1%
96 2
 
< 0.1%
95 1
 
< 0.1%
94 1
 
< 0.1%
91 1
 
< 0.1%
90 1
 
< 0.1%
Distinct255
Distinct (%)2.6%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean55.470559
Minimum0
Maximum1000
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:14.786099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median22
Q334
95-th percentile85.45
Maximum1000
Range1000
Interquartile range (IQR)21

Descriptive statistics

Standard deviation166.37208
Coefficient of variation (CV)2.9992861
Kurtosis26.354148
Mean55.470559
Median Absolute Deviation (MAD)10
Skewness5.2374394
Sum552043
Variance27679.668
MonotonicityNot monotonic
2024-05-11T09:12:15.249436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1247
 
12.5%
18 331
 
3.3%
19 323
 
3.2%
16 312
 
3.1%
17 291
 
2.9%
25 290
 
2.9%
24 276
 
2.8%
1000 272
 
2.7%
22 267
 
2.7%
23 264
 
2.6%
Other values (245) 6079
60.8%
ValueCountFrequency (%)
0 16
 
0.2%
1 2
 
< 0.1%
2 101
 
1.0%
3 1247
12.5%
4 83
 
0.8%
5 77
 
0.8%
6 65
 
0.7%
7 65
 
0.7%
8 73
 
0.7%
9 148
 
1.5%
ValueCountFrequency (%)
1000 272
2.7%
980 1
 
< 0.1%
959 1
 
< 0.1%
917 1
 
< 0.1%
862 1
 
< 0.1%
833 1
 
< 0.1%
805 1
 
< 0.1%
798 1
 
< 0.1%
785 1
 
< 0.1%
784 1
 
< 0.1%
Distinct176
Distinct (%)1.8%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean47.786977
Minimum0
Maximum1000
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:15.790178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median19
Q329
95-th percentile59
Maximum1000
Range1000
Interquartile range (IQR)18

Descriptive statistics

Standard deviation158.05914
Coefficient of variation (CV)3.3075776
Kurtosis31.488833
Mean47.786977
Median Absolute Deviation (MAD)9
Skewness5.736796
Sum475576
Variance24982.69
MonotonicityNot monotonic
2024-05-11T09:12:16.444550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1068
 
10.7%
17 385
 
3.9%
18 361
 
3.6%
16 354
 
3.5%
15 347
 
3.5%
3 336
 
3.4%
13 303
 
3.0%
14 302
 
3.0%
19 277
 
2.8%
12 273
 
2.7%
Other values (166) 5946
59.5%
ValueCountFrequency (%)
0 18
 
0.2%
1 3
 
< 0.1%
2 1068
10.7%
3 336
 
3.4%
4 68
 
0.7%
5 91
 
0.9%
6 87
 
0.9%
7 94
 
0.9%
8 156
 
1.6%
9 197
 
2.0%
ValueCountFrequency (%)
1000 257
2.6%
967 1
 
< 0.1%
966 1
 
< 0.1%
902 1
 
< 0.1%
741 1
 
< 0.1%
671 1
 
< 0.1%
642 1
 
< 0.1%
583 1
 
< 0.1%
565 1
 
< 0.1%
498 1
 
< 0.1%
Distinct99
Distinct (%)1.0%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean43.766379
Minimum0
Maximum1000
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:16.911985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median17
Q326
95-th percentile49
Maximum1000
Range1000
Interquartile range (IQR)16

Descriptive statistics

Standard deviation156.26381
Coefficient of variation (CV)3.5704077
Kurtosis33.237672
Mean43.766379
Median Absolute Deviation (MAD)8
Skewness5.9126574
Sum435563
Variance24418.38
MonotonicityNot monotonic
2024-05-11T09:12:17.360755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1363
 
13.6%
13 407
 
4.1%
16 405
 
4.0%
17 387
 
3.9%
14 382
 
3.8%
15 371
 
3.7%
12 349
 
3.5%
18 337
 
3.4%
19 319
 
3.2%
11 318
 
3.2%
Other values (89) 5314
53.1%
ValueCountFrequency (%)
0 18
 
0.2%
1 6
 
0.1%
2 1363
13.6%
3 85
 
0.9%
4 73
 
0.7%
5 130
 
1.3%
6 112
 
1.1%
7 153
 
1.5%
8 227
 
2.3%
9 261
 
2.6%
ValueCountFrequency (%)
1000 257
2.6%
175 1
 
< 0.1%
152 1
 
< 0.1%
147 1
 
< 0.1%
128 1
 
< 0.1%
125 1
 
< 0.1%
122 1
 
< 0.1%
118 1
 
< 0.1%
105 3
 
< 0.1%
104 1
 
< 0.1%

온도 최대(℃)
Real number (ℝ)

MISSING 

Distinct168
Distinct (%)1.8%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean4.204902
Minimum-40
Maximum19.2
Zeros23
Zeros (%)0.2%
Negative340
Negative (%)3.4%
Memory size166.0 KiB
2024-05-11T09:12:17.879523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile0.4
Q12.8
median5.4
Q37
95-th percentile8.6
Maximum19.2
Range59.2
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation6.4520397
Coefficient of variation (CV)1.5344091
Kurtosis35.941338
Mean4.204902
Median Absolute Deviation (MAD)2
Skewness-5.6416292
Sum39887.7
Variance41.628816
MonotonicityNot monotonic
2024-05-11T09:12:18.455917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8 187
 
1.9%
6.7 177
 
1.8%
7.1 176
 
1.8%
6.9 171
 
1.7%
-40.0 167
 
1.7%
6.4 166
 
1.7%
6.2 165
 
1.7%
7.5 164
 
1.6%
5.9 163
 
1.6%
7.2 158
 
1.6%
Other values (158) 7792
77.9%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
-40.0 167
1.7%
-15.9 1
 
< 0.1%
-15.0 1
 
< 0.1%
-14.6 1
 
< 0.1%
-12.1 1
 
< 0.1%
-11.7 3
 
< 0.1%
-11.6 1
 
< 0.1%
-11.2 1
 
< 0.1%
-11.0 1
 
< 0.1%
-10.1 1
 
< 0.1%
ValueCountFrequency (%)
19.2 1
< 0.1%
13.1 1
< 0.1%
13.0 1
< 0.1%
12.5 1
< 0.1%
12.2 1
< 0.1%
12.0 1
< 0.1%
11.8 1
< 0.1%
11.7 1
< 0.1%
11.6 2
< 0.1%
11.4 2
< 0.1%

온도 평균(℃)
Real number (ℝ)

MISSING 

Distinct156
Distinct (%)1.6%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean3.8741092
Minimum-40
Maximum15.3
Zeros31
Zeros (%)0.3%
Negative402
Negative (%)4.0%
Memory size166.0 KiB
2024-05-11T09:12:19.009558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile0.2
Q12.525
median5
Q36.7
95-th percentile8.1
Maximum15.3
Range55.3
Interquartile range (IQR)4.175

Descriptive statistics

Standard deviation6.3885355
Coefficient of variation (CV)1.6490334
Kurtosis36.311362
Mean3.8741092
Median Absolute Deviation (MAD)2
Skewness-5.6893822
Sum36749.8
Variance40.813385
MonotonicityNot monotonic
2024-05-11T09:12:19.455260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 188
 
1.9%
6.7 186
 
1.9%
6.9 171
 
1.7%
6.5 168
 
1.7%
6.1 167
 
1.7%
-40.0 167
 
1.7%
6.0 165
 
1.7%
6.8 162
 
1.6%
6.3 161
 
1.6%
5.8 157
 
1.6%
Other values (146) 7794
77.9%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
-40.0 167
1.7%
-16.5 1
 
< 0.1%
-15.6 1
 
< 0.1%
-15.0 2
 
< 0.1%
-11.9 2
 
< 0.1%
-11.8 1
 
< 0.1%
-11.7 3
 
< 0.1%
-11.5 1
 
< 0.1%
-7.3 2
 
< 0.1%
-6.5 1
 
< 0.1%
ValueCountFrequency (%)
15.3 1
< 0.1%
11.3 1
< 0.1%
10.9 1
< 0.1%
10.8 1
< 0.1%
10.7 1
< 0.1%
10.5 2
< 0.1%
10.4 1
< 0.1%
10.3 2
< 0.1%
10.2 1
< 0.1%
10.0 1
< 0.1%

온도 최소(℃)
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)1.6%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean3.5660236
Minimum-40
Maximum12.4
Zeros29
Zeros (%)0.3%
Negative476
Negative (%)4.8%
Memory size166.0 KiB
2024-05-11T09:12:19.935869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-0.1
Q12.3
median4.7
Q36.4
95-th percentile7.7
Maximum12.4
Range52.4
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation6.3396158
Coefficient of variation (CV)1.7777829
Kurtosis36.415675
Mean3.5660236
Median Absolute Deviation (MAD)2
Skewness-5.7035707
Sum33827.3
Variance40.190728
MonotonicityNot monotonic
2024-05-11T09:12:20.422123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7 189
 
1.9%
6.5 180
 
1.8%
6.2 174
 
1.7%
6.8 173
 
1.7%
6.4 173
 
1.7%
5.7 168
 
1.7%
-40.0 167
 
1.7%
5.8 166
 
1.7%
6.9 161
 
1.6%
6.0 159
 
1.6%
Other values (144) 7776
77.8%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
-40.0 167
1.7%
-17.0 1
 
< 0.1%
-16.4 1
 
< 0.1%
-15.8 1
 
< 0.1%
-15.7 1
 
< 0.1%
-12.7 1
 
< 0.1%
-12.3 1
 
< 0.1%
-12.2 1
 
< 0.1%
-12.1 1
 
< 0.1%
-12.0 1
 
< 0.1%
ValueCountFrequency (%)
12.4 1
 
< 0.1%
10.0 1
 
< 0.1%
9.9 1
 
< 0.1%
9.7 3
 
< 0.1%
9.6 1
 
< 0.1%
9.5 1
 
< 0.1%
9.4 4
< 0.1%
9.3 4
< 0.1%
9.2 2
 
< 0.1%
9.1 9
0.1%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)0.5%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean79.380772
Minimum49
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:20.946566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile62
Q168
median79
Q388
95-th percentile100
Maximum100
Range51
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.131239
Coefficient of variation (CV)0.1528234
Kurtosis-1.036698
Mean79.380772
Median Absolute Deviation (MAD)10
Skewness0.20298767
Sum753006
Variance147.16696
MonotonicityNot monotonic
2024-05-11T09:12:21.567120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1237
 
12.4%
85 395
 
4.0%
87 383
 
3.8%
86 381
 
3.8%
66 362
 
3.6%
65 353
 
3.5%
84 348
 
3.5%
88 338
 
3.4%
67 335
 
3.4%
68 284
 
2.8%
Other values (40) 5070
50.7%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
49 1
 
< 0.1%
52 2
 
< 0.1%
53 2
 
< 0.1%
54 3
 
< 0.1%
55 3
 
< 0.1%
56 15
 
0.1%
57 18
 
0.2%
58 25
 
0.2%
59 59
0.6%
60 82
0.8%
ValueCountFrequency (%)
100 1237
12.4%
99 19
 
0.2%
98 16
 
0.2%
97 17
 
0.2%
96 18
 
0.2%
95 23
 
0.2%
94 32
 
0.3%
93 49
 
0.5%
92 89
 
0.9%
91 152
 
1.5%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)0.6%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean78.065149
Minimum41
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:22.217855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile61
Q167
median77
Q387
95-th percentile100
Maximum100
Range59
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.62195
Coefficient of variation (CV)0.16168483
Kurtosis-1.0103435
Mean78.065149
Median Absolute Deviation (MAD)10
Skewness0.25812652
Sum740526
Variance159.31363
MonotonicityNot monotonic
2024-05-11T09:12:22.919582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1174
 
11.7%
65 394
 
3.9%
85 379
 
3.8%
84 359
 
3.6%
86 342
 
3.4%
87 337
 
3.4%
66 324
 
3.2%
64 322
 
3.2%
63 318
 
3.2%
67 315
 
3.1%
Other values (43) 5222
52.2%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
41 1
 
< 0.1%
49 1
 
< 0.1%
50 1
 
< 0.1%
51 4
 
< 0.1%
52 2
 
< 0.1%
53 3
 
< 0.1%
54 9
 
0.1%
55 20
0.2%
56 28
0.3%
57 43
0.4%
ValueCountFrequency (%)
100 1174
11.7%
99 26
 
0.3%
98 25
 
0.2%
97 26
 
0.3%
96 11
 
0.1%
95 22
 
0.2%
94 32
 
0.3%
93 38
 
0.4%
92 69
 
0.7%
91 111
 
1.1%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)0.6%
Missing514
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean76.696184
Minimum34
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:23.903046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile59
Q165
median75
Q386
95-th percentile100
Maximum100
Range66
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.149449
Coefficient of variation (CV)0.17144854
Kurtosis-0.96381904
Mean76.696184
Median Absolute Deviation (MAD)10
Skewness0.30192248
Sum727540
Variance172.908
MonotonicityNot monotonic
2024-05-11T09:12:24.623764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 1147
 
11.5%
64 381
 
3.8%
84 369
 
3.7%
65 352
 
3.5%
86 324
 
3.2%
63 320
 
3.2%
85 318
 
3.2%
83 315
 
3.1%
62 314
 
3.1%
66 312
 
3.1%
Other values (46) 5334
53.3%
(Missing) 514
 
5.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
46 3
 
< 0.1%
47 1
 
< 0.1%
48 4
 
< 0.1%
49 1
 
< 0.1%
50 3
 
< 0.1%
51 5
 
0.1%
52 8
 
0.1%
53 24
0.2%
54 38
0.4%
ValueCountFrequency (%)
100 1147
11.5%
99 16
 
0.2%
98 12
 
0.1%
97 31
 
0.3%
96 19
 
0.2%
95 11
 
0.1%
94 20
 
0.2%
93 35
 
0.4%
92 55
 
0.5%
91 85
 
0.9%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)7.1%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.2475096
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:25.483139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.225
median0.8
Q31.3
95-th percentile2.695
Maximum11.9
Range11.8
Interquartile range (IQR)1.075

Descriptive statistics

Standard deviation2.087722
Coefficient of variation (CV)1.6735118
Kurtosis18.129396
Mean1.2475096
Median Absolute Deviation (MAD)0.5
Skewness4.2382828
Sum651.2
Variance4.358583
MonotonicityNot monotonic
2024-05-11T09:12:26.383285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.1 114
 
1.1%
1.0 36
 
0.4%
1.3 31
 
0.3%
0.8 30
 
0.3%
0.9 29
 
0.3%
0.7 27
 
0.3%
0.5 23
 
0.2%
1.5 21
 
0.2%
0.4 20
 
0.2%
1.2 19
 
0.2%
Other values (27) 172
 
1.7%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 114
1.1%
0.2 17
 
0.2%
0.3 16
 
0.2%
0.4 20
 
0.2%
0.5 23
 
0.2%
0.6 15
 
0.1%
0.7 27
 
0.3%
0.8 30
 
0.3%
0.9 29
 
0.3%
1.0 36
 
0.4%
ValueCountFrequency (%)
11.9 7
0.1%
11.7 1
 
< 0.1%
11.3 2
 
< 0.1%
11.1 7
0.1%
11.0 2
 
< 0.1%
3.2 1
 
< 0.1%
3.1 1
 
< 0.1%
3.0 1
 
< 0.1%
2.9 3
< 0.1%
2.8 1
 
< 0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)4.8%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean0.7559387
Minimum0.1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:27.495202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.2
Q30.5
95-th percentile1.695
Maximum11
Range10.9
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation2.0239765
Coefficient of variation (CV)2.6774347
Kurtosis20.907314
Mean0.7559387
Median Absolute Deviation (MAD)0.1
Skewness4.6903746
Sum394.6
Variance4.096481
MonotonicityNot monotonic
2024-05-11T09:12:28.021794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.1 228
 
2.3%
0.2 51
 
0.5%
0.3 44
 
0.4%
0.5 37
 
0.4%
0.4 33
 
0.3%
0.7 22
 
0.2%
1.0 17
 
0.2%
0.6 17
 
0.2%
11.0 13
 
0.1%
0.8 12
 
0.1%
Other values (15) 48
 
0.5%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 228
2.3%
0.2 51
 
0.5%
0.3 44
 
0.4%
0.4 33
 
0.3%
0.5 37
 
0.4%
0.6 17
 
0.2%
0.7 22
 
0.2%
0.8 12
 
0.1%
0.9 11
 
0.1%
1.0 17
 
0.2%
ValueCountFrequency (%)
11.0 13
0.1%
10.9 6
0.1%
2.5 1
 
< 0.1%
2.4 1
 
< 0.1%
2.2 1
 
< 0.1%
2.0 1
 
< 0.1%
1.9 2
 
< 0.1%
1.8 1
 
< 0.1%
1.7 1
 
< 0.1%
1.6 2
 
< 0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)3.4%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean0.55095785
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:28.393927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.0072061
Coefficient of variation (CV)3.6431209
Kurtosis22.22452
Mean0.55095785
Median Absolute Deviation (MAD)0
Skewness4.8890386
Sum287.6
Variance4.0288762
MonotonicityNot monotonic
2024-05-11T09:12:28.942306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1 423
 
4.2%
0.2 21
 
0.2%
0.3 19
 
0.2%
10.8 13
 
0.1%
0.5 9
 
0.1%
0.4 7
 
0.1%
10.9 5
 
0.1%
0.9 5
 
0.1%
0.6 5
 
0.1%
0.7 4
 
< 0.1%
Other values (8) 11
 
0.1%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 423
4.2%
0.2 21
 
0.2%
0.3 19
 
0.2%
0.4 7
 
0.1%
0.5 9
 
0.1%
0.6 5
 
0.1%
0.7 4
 
< 0.1%
0.8 3
 
< 0.1%
0.9 5
 
0.1%
1.0 2
 
< 0.1%
ValueCountFrequency (%)
10.9 5
 
0.1%
10.8 13
0.1%
10.6 1
 
< 0.1%
2.0 1
 
< 0.1%
1.8 1
 
< 0.1%
1.5 1
 
< 0.1%
1.4 1
 
< 0.1%
1.2 1
 
< 0.1%
1.0 2
 
< 0.1%
0.9 5
 
0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct391
Distinct (%)74.9%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean260.61169
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:29.333027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q1213.1
median318.05
Q3350.95
95-th percentile359.095
Maximum359.9
Range359.8
Interquartile range (IQR)137.85

Descriptive statistics

Standard deviation115.74584
Coefficient of variation (CV)0.44413143
Kurtosis-0.13556385
Mean260.61169
Median Absolute Deviation (MAD)40.2
Skewness-1.1183079
Sum136039.3
Variance13397.1
MonotonicityNot monotonic
2024-05-11T09:12:29.798452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 13
 
0.1%
1.8 7
 
0.1%
2.0 7
 
0.1%
358.7 6
 
0.1%
358.2 5
 
0.1%
1.9 5
 
0.1%
359.6 5
 
0.1%
359.3 5
 
0.1%
351.4 4
 
< 0.1%
358.4 4
 
< 0.1%
Other values (381) 461
 
4.6%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 13
0.1%
1.8 7
0.1%
1.9 5
 
0.1%
2.0 7
0.1%
23.4 1
 
< 0.1%
26.8 1
 
< 0.1%
28.7 1
 
< 0.1%
29.1 1
 
< 0.1%
29.2 1
 
< 0.1%
32.0 1
 
< 0.1%
ValueCountFrequency (%)
359.9 3
< 0.1%
359.8 2
 
< 0.1%
359.7 1
 
< 0.1%
359.6 5
0.1%
359.5 3
< 0.1%
359.4 2
 
< 0.1%
359.3 5
0.1%
359.2 3
< 0.1%
359.1 3
< 0.1%
359.0 1
 
< 0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct264
Distinct (%)50.6%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean164.48352
Minimum0.1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:30.306837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q149
median179.5
Q3261.75
95-th percentile331.95
Maximum358
Range357.9
Interquartile range (IQR)212.75

Descriptive statistics

Standard deviation111.7216
Coefficient of variation (CV)0.67922668
Kurtosis-1.3861106
Mean164.48352
Median Absolute Deviation (MAD)102.5
Skewness-0.017686214
Sum85860.4
Variance12481.716
MonotonicityNot monotonic
2024-05-11T09:12:30.809288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 21
 
0.2%
0.1 14
 
0.1%
248.0 7
 
0.1%
40.0 7
 
0.1%
27.0 5
 
0.1%
269.0 5
 
0.1%
23.0 5
 
0.1%
39.0 5
 
0.1%
281.0 5
 
0.1%
271.0 5
 
0.1%
Other values (254) 443
 
4.4%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 14
0.1%
1.0 1
 
< 0.1%
2.0 21
0.2%
3.0 2
 
< 0.1%
4.0 3
 
< 0.1%
5.0 1
 
< 0.1%
6.0 1
 
< 0.1%
8.0 2
 
< 0.1%
11.0 2
 
< 0.1%
12.0 2
 
< 0.1%
ValueCountFrequency (%)
358.0 1
< 0.1%
354.0 1
< 0.1%
353.0 2
< 0.1%
352.0 2
< 0.1%
351.0 1
< 0.1%
350.0 1
< 0.1%
349.0 1
< 0.1%
347.0 1
< 0.1%
346.0 1
< 0.1%
345.0 2
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct389
Distinct (%)74.5%
Missing9478
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean71.738697
Minimum0.1
Maximum338.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:31.250522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.405
Q15.525
median28.15
Q3116.9
95-th percentile262.5
Maximum338.9
Range338.8
Interquartile range (IQR)111.375

Descriptive statistics

Standard deviation89.217722
Coefficient of variation (CV)1.2436485
Kurtosis0.24587879
Mean71.738697
Median Absolute Deviation (MAD)26.4
Skewness1.2414721
Sum37447.6
Variance7959.802
MonotonicityNot monotonic
2024-05-11T09:12:31.775008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 21
 
0.2%
1.8 9
 
0.1%
1.5 8
 
0.1%
2.3 6
 
0.1%
1.7 6
 
0.1%
1.6 5
 
0.1%
1.9 5
 
0.1%
7.3 4
 
< 0.1%
0.7 4
 
< 0.1%
3.4 4
 
< 0.1%
Other values (379) 450
 
4.5%
(Missing) 9478
94.8%
ValueCountFrequency (%)
0.1 21
0.2%
0.2 1
 
< 0.1%
0.3 3
 
< 0.1%
0.4 2
 
< 0.1%
0.5 2
 
< 0.1%
0.6 2
 
< 0.1%
0.7 4
 
< 0.1%
0.8 3
 
< 0.1%
0.9 2
 
< 0.1%
1.0 2
 
< 0.1%
ValueCountFrequency (%)
338.9 1
< 0.1%
315.9 1
< 0.1%
314.5 1
< 0.1%
313.3 1
< 0.1%
312.1 1
< 0.1%
311.9 1
< 0.1%
309.8 1
< 0.1%
305.3 1
< 0.1%
304.9 1
< 0.1%
296.4 1
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct2354
Distinct (%)29.6%
Missing2049
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean1835.6066
Minimum0
Maximum99876
Zeros3744
Zeros (%)37.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:32.372661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3988.5
95-th percentile8593
Maximum99876
Range99876
Interquartile range (IQR)988.5

Descriptive statistics

Standard deviation7150.9331
Coefficient of variation (CV)3.8956785
Kurtosis129.11487
Mean1835.6066
Median Absolute Deviation (MAD)1
Skewness10.498954
Sum14594908
Variance51135844
MonotonicityNot monotonic
2024-05-11T09:12:32.833979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3744
37.4%
1 292
 
2.9%
2 183
 
1.8%
3 124
 
1.2%
4 108
 
1.1%
5 98
 
1.0%
6 72
 
0.7%
7 52
 
0.5%
10 42
 
0.4%
9 36
 
0.4%
Other values (2344) 3200
32.0%
(Missing) 2049
20.5%
ValueCountFrequency (%)
0 3744
37.4%
1 292
 
2.9%
2 183
 
1.8%
3 124
 
1.2%
4 108
 
1.1%
5 98
 
1.0%
6 72
 
0.7%
7 52
 
0.5%
8 28
 
0.3%
9 36
 
0.4%
ValueCountFrequency (%)
99876 1
< 0.1%
99794 1
< 0.1%
99734 1
< 0.1%
99261 1
< 0.1%
99041 1
< 0.1%
98930 1
< 0.1%
98646 1
< 0.1%
98570 1
< 0.1%
98556 1
< 0.1%
98209 1
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct2094
Distinct (%)26.3%
Missing2049
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean1153.5707
Minimum0
Maximum74905
Zeros3771
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:33.251937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3619
95-th percentile6085.5
Maximum74905
Range74905
Interquartile range (IQR)619

Descriptive statistics

Standard deviation3611.9332
Coefficient of variation (CV)3.1310895
Kurtosis116.43904
Mean1153.5707
Median Absolute Deviation (MAD)1
Skewness8.8692653
Sum9172041
Variance13046062
MonotonicityNot monotonic
2024-05-11T09:12:33.890389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3771
37.7%
1 287
 
2.9%
2 182
 
1.8%
3 129
 
1.3%
4 113
 
1.1%
5 86
 
0.9%
6 78
 
0.8%
7 42
 
0.4%
10 36
 
0.4%
8 35
 
0.4%
Other values (2084) 3192
31.9%
(Missing) 2049
20.5%
ValueCountFrequency (%)
0 3771
37.7%
1 287
 
2.9%
2 182
 
1.8%
3 129
 
1.3%
4 113
 
1.1%
5 86
 
0.9%
6 78
 
0.8%
7 42
 
0.4%
8 35
 
0.4%
9 32
 
0.3%
ValueCountFrequency (%)
74905 1
< 0.1%
72562 1
< 0.1%
59205 1
< 0.1%
54801 1
< 0.1%
54053 1
< 0.1%
49706 1
< 0.1%
48445 1
< 0.1%
47788 1
< 0.1%
47591 1
< 0.1%
46533 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct1780
Distinct (%)22.4%
Missing2049
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean673.03547
Minimum0
Maximum60371
Zeros4137
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:34.256594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3255.5
95-th percentile4026.5
Maximum60371
Range60371
Interquartile range (IQR)255.5

Descriptive statistics

Standard deviation1885.583
Coefficient of variation (CV)2.8016102
Kurtosis194.94198
Mean673.03547
Median Absolute Deviation (MAD)0
Skewness9.1287792
Sum5351305
Variance3555423.2
MonotonicityNot monotonic
2024-05-11T09:12:34.630135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4137
41.4%
1 304
 
3.0%
2 188
 
1.9%
3 145
 
1.5%
4 124
 
1.2%
5 95
 
0.9%
6 89
 
0.9%
8 47
 
0.5%
7 44
 
0.4%
9 37
 
0.4%
Other values (1770) 2741
27.4%
(Missing) 2049
20.5%
ValueCountFrequency (%)
0 4137
41.4%
1 304
 
3.0%
2 188
 
1.9%
3 145
 
1.5%
4 124
 
1.2%
5 95
 
0.9%
6 89
 
0.9%
7 44
 
0.4%
8 47
 
0.5%
9 37
 
0.4%
ValueCountFrequency (%)
60371 1
< 0.1%
47480 1
< 0.1%
26425 2
< 0.1%
22254 1
< 0.1%
21615 1
< 0.1%
17862 1
< 0.1%
17643 1
< 0.1%
15530 1
< 0.1%
15332 1
< 0.1%
15170 1
< 0.1%

자외선 최대(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)0.3%
Missing1974
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean0.10074757
Minimum0
Maximum3.1
Zeros5988
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:34.983499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1
95-th percentile0.6
Maximum3.1
Range3.1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.25738573
Coefficient of variation (CV)2.5547587
Kurtosis18.612569
Mean0.10074757
Median Absolute Deviation (MAD)0
Skewness3.844318
Sum808.6
Variance0.066247416
MonotonicityNot monotonic
2024-05-11T09:12:35.331434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 5988
59.9%
0.1 597
 
6.0%
0.2 376
 
3.8%
0.3 268
 
2.7%
0.4 233
 
2.3%
0.5 136
 
1.4%
0.6 87
 
0.9%
1.4 82
 
0.8%
1.3 79
 
0.8%
0.7 65
 
0.7%
Other values (14) 115
 
1.1%
(Missing) 1974
 
19.7%
ValueCountFrequency (%)
0.0 5988
59.9%
0.1 597
 
6.0%
0.2 376
 
3.8%
0.3 268
 
2.7%
0.4 233
 
2.3%
0.5 136
 
1.4%
0.6 87
 
0.9%
0.7 65
 
0.7%
0.8 42
 
0.4%
0.9 35
 
0.4%
ValueCountFrequency (%)
3.1 1
 
< 0.1%
3.0 1
 
< 0.1%
2.7 1
 
< 0.1%
2.5 1
 
< 0.1%
2.3 1
 
< 0.1%
2.1 1
 
< 0.1%
2.0 1
 
< 0.1%
1.7 1
 
< 0.1%
1.5 1
 
< 0.1%
1.4 82
0.8%

자외선 평균(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.2%
Missing1974
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean0.078008971
Minimum0
Maximum2.9
Zeros6168
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:35.703843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.4
Maximum2.9
Range2.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22274095
Coefficient of variation (CV)2.8553248
Kurtosis24.529951
Mean0.078008971
Median Absolute Deviation (MAD)0
Skewness4.5289293
Sum626.1
Variance0.049613531
MonotonicityNot monotonic
2024-05-11T09:12:36.105932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 6168
61.7%
0.1 689
 
6.9%
0.2 380
 
3.8%
0.3 277
 
2.8%
0.4 154
 
1.5%
0.5 94
 
0.9%
1.3 94
 
0.9%
1.4 60
 
0.6%
0.6 50
 
0.5%
0.7 27
 
0.3%
Other values (8) 33
 
0.3%
(Missing) 1974
 
19.7%
ValueCountFrequency (%)
0.0 6168
61.7%
0.1 689
 
6.9%
0.2 380
 
3.8%
0.3 277
 
2.8%
0.4 154
 
1.5%
0.5 94
 
0.9%
0.6 50
 
0.5%
0.7 27
 
0.3%
0.8 16
 
0.2%
0.9 6
 
0.1%
ValueCountFrequency (%)
2.9 1
 
< 0.1%
2.6 1
 
< 0.1%
2.1 1
 
< 0.1%
1.5 1
 
< 0.1%
1.4 60
0.6%
1.3 94
0.9%
1.1 1
 
< 0.1%
1.0 6
 
0.1%
0.9 6
 
0.1%
0.8 16
 
0.2%

자외선 최대(UV).1
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.2%
Missing1974
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean0.058709195
Minimum0
Maximum2.4
Zeros6541
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:36.406867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3
Maximum2.4
Range2.4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2015999
Coefficient of variation (CV)3.4338727
Kurtosis31.589649
Mean0.058709195
Median Absolute Deviation (MAD)0
Skewness5.353218
Sum471.2
Variance0.040642521
MonotonicityNot monotonic
2024-05-11T09:12:36.709089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6541
65.4%
0.1 615
 
6.2%
0.2 382
 
3.8%
0.3 190
 
1.9%
1.3 121
 
1.2%
0.4 85
 
0.9%
1.4 31
 
0.3%
0.5 28
 
0.3%
0.6 15
 
0.1%
0.7 7
 
0.1%
Other values (6) 11
 
0.1%
(Missing) 1974
 
19.7%
ValueCountFrequency (%)
0.0 6541
65.4%
0.1 615
 
6.2%
0.2 382
 
3.8%
0.3 190
 
1.9%
0.4 85
 
0.9%
0.5 28
 
0.3%
0.6 15
 
0.1%
0.7 7
 
0.1%
0.8 3
 
< 0.1%
0.9 3
 
< 0.1%
ValueCountFrequency (%)
2.4 1
 
< 0.1%
2.2 1
 
< 0.1%
1.8 1
 
< 0.1%
1.4 31
 
0.3%
1.3 121
1.2%
1.1 2
 
< 0.1%
0.9 3
 
< 0.1%
0.8 3
 
< 0.1%
0.7 7
 
0.1%
0.6 15
 
0.1%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)0.5%
Missing241
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean50.682959
Minimum35
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:37.098962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile40
Q145
median49
Q354
95-th percentile67
Maximum82
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.002466
Coefficient of variation (CV)0.15789264
Kurtosis0.4826678
Mean50.682959
Median Absolute Deviation (MAD)4
Skewness0.8092338
Sum494615
Variance64.039463
MonotonicityNot monotonic
2024-05-11T09:12:37.510528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
48 1052
 
10.5%
44 755
 
7.5%
52 680
 
6.8%
49 539
 
5.4%
47 529
 
5.3%
50 522
 
5.2%
46 490
 
4.9%
51 463
 
4.6%
45 425
 
4.2%
43 294
 
2.9%
Other values (38) 4010
40.1%
ValueCountFrequency (%)
35 133
 
1.3%
36 72
 
0.7%
37 62
 
0.6%
38 46
 
0.5%
39 73
 
0.7%
40 267
 
2.7%
41 172
 
1.7%
42 228
 
2.3%
43 294
 
2.9%
44 755
7.5%
ValueCountFrequency (%)
82 1
 
< 0.1%
81 1
 
< 0.1%
80 1
 
< 0.1%
79 1
 
< 0.1%
78 2
 
< 0.1%
77 6
 
0.1%
76 6
 
0.1%
75 11
 
0.1%
74 18
0.2%
73 38
0.4%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)0.4%
Missing241
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean47.493903
Minimum35
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:37.922712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile37
Q142
median46
Q351
95-th percentile63
Maximum81
Range46
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.6628283
Coefficient of variation (CV)0.16134341
Kurtosis0.57168142
Mean47.493903
Median Absolute Deviation (MAD)4
Skewness0.93408693
Sum463493
Variance58.718937
MonotonicityNot monotonic
2024-05-11T09:12:38.311735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
44 763
 
7.6%
45 654
 
6.5%
43 608
 
6.1%
46 607
 
6.1%
48 572
 
5.7%
42 540
 
5.4%
47 533
 
5.3%
41 494
 
4.9%
40 490
 
4.9%
49 478
 
4.8%
Other values (33) 4020
40.2%
ValueCountFrequency (%)
35 204
 
2.0%
36 123
 
1.2%
37 177
 
1.8%
38 254
 
2.5%
39 316
3.2%
40 490
4.9%
41 494
4.9%
42 540
5.4%
43 608
6.1%
44 763
7.6%
ValueCountFrequency (%)
81 1
 
< 0.1%
78 1
 
< 0.1%
77 1
 
< 0.1%
74 2
 
< 0.1%
73 12
 
0.1%
72 10
 
0.1%
71 26
 
0.3%
70 27
 
0.3%
69 37
0.4%
68 75
0.8%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.4%
Missing241
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean45.339686
Minimum35
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:38.721399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile36
Q140
median44
Q349
95-th percentile60
Maximum80
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.314383
Coefficient of variation (CV)0.16132408
Kurtosis0.59606467
Mean45.339686
Median Absolute Deviation (MAD)4
Skewness0.95201289
Sum442470
Variance53.500199
MonotonicityNot monotonic
2024-05-11T09:12:39.254476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
44 1017
 
10.2%
40 870
 
8.7%
48 579
 
5.8%
41 552
 
5.5%
43 518
 
5.2%
42 514
 
5.1%
36 465
 
4.7%
45 431
 
4.3%
46 415
 
4.2%
38 397
 
4.0%
Other values (31) 4001
40.0%
ValueCountFrequency (%)
35 386
 
3.9%
36 465
4.7%
37 326
 
3.3%
38 397
 
4.0%
39 388
 
3.9%
40 870
8.7%
41 552
5.5%
42 514
5.1%
43 518
5.2%
44 1017
10.2%
ValueCountFrequency (%)
80 1
 
< 0.1%
77 1
 
< 0.1%
76 1
 
< 0.1%
72 1
 
< 0.1%
71 4
 
< 0.1%
70 16
 
0.2%
69 15
 
0.1%
68 20
0.2%
67 34
0.3%
66 40
0.4%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.031571465
Minimum0
Maximum0.21
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:39.568573image/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
Maximum0.21
Range0.21
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.021785669
Coefficient of variation (CV)0.69004302
Kurtosis5.8703494
Mean0.031571465
Median Absolute Deviation (MAD)0.01
Skewness1.8448701
Sum248.72
Variance0.00047461537
MonotonicityNot monotonic
2024-05-11T09:12:39.893960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 2313
23.1%
0.01 1587
15.9%
0.03 1321
13.2%
0.04 928
9.3%
0.05 728
 
7.3%
0.06 352
 
3.5%
0.07 252
 
2.5%
0.08 155
 
1.6%
0.09 100
 
1.0%
0.1 40
 
0.4%
Other values (10) 102
 
1.0%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 34
 
0.3%
0.01 1587
15.9%
0.02 2313
23.1%
0.03 1321
13.2%
0.04 928
9.3%
0.05 728
 
7.3%
0.06 352
 
3.5%
0.07 252
 
2.5%
0.08 155
 
1.6%
0.09 100
 
1.0%
ValueCountFrequency (%)
0.21 1
 
< 0.1%
0.2 1
 
< 0.1%
0.19 2
 
< 0.1%
0.18 2
 
< 0.1%
0.17 5
 
0.1%
0.15 12
 
0.1%
0.14 7
 
0.1%
0.13 16
 
0.2%
0.11 22
0.2%
0.1 40
0.4%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.2%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.027623762
Minimum0
Maximum0.2
Zeros43
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:40.326240image/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
Maximum0.2
Range0.2
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.020645041
Coefficient of variation (CV)0.74736527
Kurtosis5.7593461
Mean0.027623762
Median Absolute Deviation (MAD)0.01
Skewness1.8912806
Sum217.62
Variance0.0004262177
MonotonicityNot monotonic
2024-05-11T09:12:40.802910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.01 2579
25.8%
0.02 1948
19.5%
0.03 1095
10.9%
0.04 946
 
9.5%
0.05 515
 
5.1%
0.06 283
 
2.8%
0.07 198
 
2.0%
0.08 146
 
1.5%
0.0 43
 
0.4%
0.09 41
 
0.4%
Other values (9) 84
 
0.8%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 43
 
0.4%
0.01 2579
25.8%
0.02 1948
19.5%
0.03 1095
10.9%
0.04 946
 
9.5%
0.05 515
 
5.1%
0.06 283
 
2.8%
0.07 198
 
2.0%
0.08 146
 
1.5%
0.09 41
 
0.4%
ValueCountFrequency (%)
0.2 1
 
< 0.1%
0.17 3
 
< 0.1%
0.16 5
 
0.1%
0.15 3
 
< 0.1%
0.14 13
 
0.1%
0.13 14
 
0.1%
0.12 4
 
< 0.1%
0.11 4
 
< 0.1%
0.1 37
0.4%
0.09 41
0.4%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.2%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.024101295
Minimum0
Maximum0.19
Zeros285
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:41.694527image/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
Maximum0.19
Range0.19
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.019829114
Coefficient of variation (CV)0.8227406
Kurtosis6.0186464
Mean0.024101295
Median Absolute Deviation (MAD)0.01
Skewness1.9716008
Sum189.87
Variance0.00039319375
MonotonicityNot monotonic
2024-05-11T09:12:42.266139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.01 3202
32.0%
0.02 1639
16.4%
0.03 988
 
9.9%
0.04 756
 
7.6%
0.05 408
 
4.1%
0.0 285
 
2.9%
0.06 236
 
2.4%
0.07 147
 
1.5%
0.08 112
 
1.1%
0.09 55
 
0.5%
Other values (7) 50
 
0.5%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 285
 
2.9%
0.01 3202
32.0%
0.02 1639
16.4%
0.03 988
 
9.9%
0.04 756
 
7.6%
0.05 408
 
4.1%
0.06 236
 
2.4%
0.07 147
 
1.5%
0.08 112
 
1.1%
0.09 55
 
0.5%
ValueCountFrequency (%)
0.19 1
 
< 0.1%
0.16 5
 
0.1%
0.15 1
 
< 0.1%
0.14 11
 
0.1%
0.13 11
 
0.1%
0.12 11
 
0.1%
0.1 10
 
0.1%
0.09 55
 
0.5%
0.08 112
1.1%
0.07 147
1.5%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.0650787
Minimum0
Maximum0.3
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:42.764590image/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
Maximum0.3
Range0.3
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.03854419
Coefficient of variation (CV)0.59227044
Kurtosis-0.18584049
Mean0.0650787
Median Absolute Deviation (MAD)0.03
Skewness0.72741394
Sum512.69
Variance0.0014856546
MonotonicityNot monotonic
2024-05-11T09:12:43.372416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.03 1125
11.2%
0.02 1101
11.0%
0.04 797
 
8.0%
0.06 692
 
6.9%
0.05 652
 
6.5%
0.07 649
 
6.5%
0.08 574
 
5.7%
0.09 499
 
5.0%
0.1 358
 
3.6%
0.12 334
 
3.3%
Other values (11) 1097
11.0%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 39
 
0.4%
0.01 21
 
0.2%
0.02 1101
11.0%
0.03 1125
11.2%
0.04 797
8.0%
0.05 652
6.5%
0.06 692
6.9%
0.07 649
6.5%
0.08 574
5.7%
0.09 499
5.0%
ValueCountFrequency (%)
0.3 1
 
< 0.1%
0.19 3
 
< 0.1%
0.18 22
 
0.2%
0.17 31
 
0.3%
0.16 93
 
0.9%
0.15 145
1.5%
0.14 166
1.7%
0.13 262
2.6%
0.12 334
3.3%
0.11 314
3.1%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.060733689
Minimum0
Maximum0.19
Zeros48
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:44.012851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.09
95-th percentile0.13
Maximum0.19
Range0.19
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.038484624
Coefficient of variation (CV)0.63366189
Kurtosis-0.32338342
Mean0.060733689
Median Absolute Deviation (MAD)0.03
Skewness0.7294733
Sum478.46
Variance0.0014810663
MonotonicityNot monotonic
2024-05-11T09:12:44.554843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 1526
15.3%
0.03 938
9.4%
0.04 689
 
6.9%
0.06 670
 
6.7%
0.05 660
 
6.6%
0.07 611
 
6.1%
0.08 566
 
5.7%
0.09 389
 
3.9%
0.11 341
 
3.4%
0.1 334
 
3.3%
Other values (10) 1154
11.5%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 48
 
0.5%
0.01 195
 
1.9%
0.02 1526
15.3%
0.03 938
9.4%
0.04 689
6.9%
0.05 660
6.6%
0.06 670
6.7%
0.07 611
6.1%
0.08 566
 
5.7%
0.09 389
 
3.9%
ValueCountFrequency (%)
0.19 3
 
< 0.1%
0.18 4
 
< 0.1%
0.17 29
 
0.3%
0.16 76
 
0.8%
0.15 143
1.4%
0.14 126
 
1.3%
0.13 205
2.1%
0.12 325
3.2%
0.11 341
3.4%
0.1 334
3.3%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean0.056006601
Minimum0
Maximum0.19
Zeros53
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:45.033017image/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
Maximum0.19
Range0.19
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.038614062
Coefficient of variation (CV)0.68945556
Kurtosis-0.23096683
Mean0.056006601
Median Absolute Deviation (MAD)0.03
Skewness0.75849219
Sum441.22
Variance0.0014910458
MonotonicityNot monotonic
2024-05-11T09:12:45.573053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 1261
12.6%
0.01 905
9.0%
0.03 795
 
8.0%
0.05 727
 
7.3%
0.04 687
 
6.9%
0.06 634
 
6.3%
0.07 559
 
5.6%
0.08 470
 
4.7%
0.09 390
 
3.9%
0.11 339
 
3.4%
Other values (10) 1111
11.1%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 53
 
0.5%
0.01 905
9.0%
0.02 1261
12.6%
0.03 795
8.0%
0.04 687
6.9%
0.05 727
7.3%
0.06 634
6.3%
0.07 559
5.6%
0.08 470
 
4.7%
0.09 390
 
3.9%
ValueCountFrequency (%)
0.19 2
 
< 0.1%
0.18 3
 
< 0.1%
0.17 29
 
0.3%
0.16 52
 
0.5%
0.15 120
 
1.2%
0.14 113
 
1.1%
0.13 156
1.6%
0.12 277
2.8%
0.11 339
3.4%
0.1 306
3.1%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.0353833
Minimum0
Maximum1.18
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:46.200048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q11.02
median1.04
Q31.06
95-th percentile1.1
Maximum1.18
Range1.18
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.079343018
Coefficient of variation (CV)0.076631538
Kurtosis137.09924
Mean1.0353833
Median Absolute Deviation (MAD)0.02
Skewness-10.679159
Sum8156.75
Variance0.0062953145
MonotonicityNot monotonic
2024-05-11T09:12:46.747887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.05 913
9.1%
1.03 882
8.8%
1.06 857
8.6%
1.02 856
8.6%
1.04 837
 
8.4%
1.01 644
 
6.4%
1.07 606
 
6.1%
1.08 496
 
5.0%
1.0 445
 
4.5%
0.99 333
 
3.3%
Other values (16) 1009
10.1%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 38
 
0.4%
0.94 9
 
0.1%
0.95 24
 
0.2%
0.96 32
 
0.3%
0.97 85
 
0.9%
0.98 180
 
1.8%
0.99 333
 
3.3%
1.0 445
4.5%
1.01 644
6.4%
1.02 856
8.6%
ValueCountFrequency (%)
1.18 3
 
< 0.1%
1.17 1
 
< 0.1%
1.16 3
 
< 0.1%
1.15 11
 
0.1%
1.14 5
 
0.1%
1.13 35
 
0.4%
1.12 86
 
0.9%
1.11 85
 
0.9%
1.1 174
1.7%
1.09 238
2.4%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.0302831
Minimum0
Maximum1.17
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:47.216268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.04
Q31.06
95-th percentile1.09
Maximum1.17
Range1.17
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.079135763
Coefficient of variation (CV)0.076809729
Kurtosis135.80741
Mean1.0302831
Median Absolute Deviation (MAD)0.02
Skewness-10.60379
Sum8116.57
Variance0.0062624691
MonotonicityNot monotonic
2024-05-11T09:12:47.752552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.04 919
9.2%
1.05 870
8.7%
1.02 850
8.5%
1.03 797
 
8.0%
1.01 785
 
7.8%
1.06 744
 
7.4%
1.0 562
 
5.6%
1.07 560
 
5.6%
0.99 390
 
3.9%
1.08 359
 
3.6%
Other values (15) 1042
10.4%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 38
 
0.4%
0.93 6
 
0.1%
0.94 9
 
0.1%
0.95 36
 
0.4%
0.96 49
 
0.5%
0.97 128
 
1.3%
0.98 265
 
2.6%
0.99 390
3.9%
1.0 562
5.6%
1.01 785
7.8%
ValueCountFrequency (%)
1.17 4
 
< 0.1%
1.15 6
 
0.1%
1.14 9
 
0.1%
1.13 17
 
0.2%
1.12 78
 
0.8%
1.11 67
 
0.7%
1.1 127
 
1.3%
1.09 203
 
2.0%
1.08 359
3.6%
1.07 560
5.6%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.3%
Missing2122
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean1.0247055
Minimum0
Maximum1.17
Zeros38
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:48.215731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.97
Q11.01
median1.03
Q31.05
95-th percentile1.08
Maximum1.17
Range1.17
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.078889933
Coefficient of variation (CV)0.076987908
Kurtosis134.53094
Mean1.0247055
Median Absolute Deviation (MAD)0.02
Skewness-10.530305
Sum8072.63
Variance0.0062236215
MonotonicityNot monotonic
2024-05-11T09:12:48.640067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.01 910
9.1%
1.04 890
8.9%
1.02 826
 
8.3%
1.03 823
 
8.2%
1.05 819
 
8.2%
1.0 630
 
6.3%
1.06 628
 
6.3%
1.07 480
 
4.8%
0.99 455
 
4.5%
0.98 358
 
3.6%
Other values (15) 1059
10.6%
(Missing) 2122
21.2%
ValueCountFrequency (%)
0.0 38
 
0.4%
0.93 12
 
0.1%
0.94 22
 
0.2%
0.95 44
 
0.4%
0.96 97
 
1.0%
0.97 200
 
2.0%
0.98 358
 
3.6%
0.99 455
4.5%
1.0 630
6.3%
1.01 910
9.1%
ValueCountFrequency (%)
1.17 1
 
< 0.1%
1.16 3
 
< 0.1%
1.14 10
 
0.1%
1.13 9
 
0.1%
1.12 47
 
0.5%
1.11 80
 
0.8%
1.1 68
 
0.7%
1.09 174
 
1.7%
1.08 254
2.5%
1.07 480
4.8%

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 

Distinct405
Distinct (%)68.0%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.62086745
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:49.240829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.20975
Q10.35975
median0.539
Q30.783
95-th percentile1.6425
Maximum2
Range2
Interquartile range (IQR)0.42325

Descriptive statistics

Standard deviation0.40162604
Coefficient of variation (CV)0.64687888
Kurtosis4.0853974
Mean0.62086745
Median Absolute Deviation (MAD)0.202
Skewness1.8211499
Sum370.037
Variance0.16130348
MonotonicityNot monotonic
2024-05-11T09:12:49.794175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 24
 
0.2%
0.0 19
 
0.2%
0.558 4
 
< 0.1%
0.422 4
 
< 0.1%
0.543 4
 
< 0.1%
0.791 4
 
< 0.1%
0.486 4
 
< 0.1%
0.518 4
 
< 0.1%
0.389 3
 
< 0.1%
0.266 3
 
< 0.1%
Other values (395) 523
 
5.2%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.184 1
 
< 0.1%
0.192 1
 
< 0.1%
0.194 1
 
< 0.1%
0.199 1
 
< 0.1%
0.2 1
 
< 0.1%
0.201 1
 
< 0.1%
0.202 1
 
< 0.1%
0.206 1
 
< 0.1%
0.207 1
 
< 0.1%
ValueCountFrequency (%)
2.0 24
0.2%
1.948 1
 
< 0.1%
1.811 1
 
< 0.1%
1.765 1
 
< 0.1%
1.759 1
 
< 0.1%
1.731 1
 
< 0.1%
1.692 1
 
< 0.1%
1.626 1
 
< 0.1%
1.593 1
 
< 0.1%
1.562 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct392
Distinct (%)65.8%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.68057886
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:50.283026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.24675
Q10.424
median0.582
Q30.8415
95-th percentile1.78625
Maximum2
Range2
Interquartile range (IQR)0.4175

Descriptive statistics

Standard deviation0.4103573
Coefficient of variation (CV)0.60295335
Kurtosis3.1256211
Mean0.68057886
Median Absolute Deviation (MAD)0.198
Skewness1.6027973
Sum405.625
Variance0.16839311
MonotonicityNot monotonic
2024-05-11T09:12:50.896843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 26
 
0.3%
0.0 19
 
0.2%
0.363 5
 
0.1%
0.495 5
 
0.1%
0.578 4
 
< 0.1%
0.573 4
 
< 0.1%
0.404 4
 
< 0.1%
0.582 4
 
< 0.1%
0.424 4
 
< 0.1%
0.491 4
 
< 0.1%
Other values (382) 517
 
5.2%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.225 1
 
< 0.1%
0.226 2
 
< 0.1%
0.233 1
 
< 0.1%
0.234 3
 
< 0.1%
0.239 2
 
< 0.1%
0.245 1
 
< 0.1%
0.246 1
 
< 0.1%
0.247 2
 
< 0.1%
0.249 1
 
< 0.1%
ValueCountFrequency (%)
2.0 26
0.3%
1.953 1
 
< 0.1%
1.814 1
 
< 0.1%
1.794 1
 
< 0.1%
1.787 1
 
< 0.1%
1.786 1
 
< 0.1%
1.76 1
 
< 0.1%
1.714 1
 
< 0.1%
1.675 1
 
< 0.1%
1.584 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct388
Distinct (%)65.1%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.59335906
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:51.437522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19
Q10.3225
median0.514
Q30.7465
95-th percentile1.5755
Maximum2
Range2
Interquartile range (IQR)0.424

Descriptive statistics

Standard deviation0.39984304
Coefficient of variation (CV)0.67386354
Kurtosis4.4782669
Mean0.59335906
Median Absolute Deviation (MAD)0.205
Skewness1.9059234
Sum353.642
Variance0.15987446
MonotonicityNot monotonic
2024-05-11T09:12:51.997513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 24
 
0.2%
0.0 19
 
0.2%
0.358 5
 
0.1%
0.281 4
 
< 0.1%
0.514 4
 
< 0.1%
0.472 4
 
< 0.1%
0.42 4
 
< 0.1%
0.32 4
 
< 0.1%
0.386 4
 
< 0.1%
0.552 4
 
< 0.1%
Other values (378) 520
 
5.2%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.155 1
 
< 0.1%
0.168 1
 
< 0.1%
0.169 2
 
< 0.1%
0.18 1
 
< 0.1%
0.181 1
 
< 0.1%
0.185 2
 
< 0.1%
0.188 2
 
< 0.1%
0.19 2
 
< 0.1%
0.193 1
 
< 0.1%
ValueCountFrequency (%)
2.0 24
0.2%
1.781 1
 
< 0.1%
1.741 1
 
< 0.1%
1.719 1
 
< 0.1%
1.693 1
 
< 0.1%
1.676 1
 
< 0.1%
1.631 1
 
< 0.1%
1.557 1
 
< 0.1%
1.546 2
 
< 0.1%
1.542 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)14.8%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.14463255
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:52.505757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.032
Q10.044
median0.054
Q30.06625
95-th percentile0.22875
Maximum2
Range2
Interquartile range (IQR)0.02225

Descriptive statistics

Standard deviation0.40538505
Coefficient of variation (CV)2.8028618
Kurtosis17.10076
Mean0.14463255
Median Absolute Deviation (MAD)0.011
Skewness4.3534022
Sum86.201
Variance0.16433704
MonotonicityNot monotonic
2024-05-11T09:12:53.101802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.039 27
 
0.3%
2.0 27
 
0.3%
0.054 23
 
0.2%
0.057 20
 
0.2%
0.0 19
 
0.2%
0.051 17
 
0.2%
0.05 17
 
0.2%
0.048 17
 
0.2%
0.056 16
 
0.2%
0.062 16
 
0.2%
Other values (78) 397
 
4.0%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.024 2
 
< 0.1%
0.026 1
 
< 0.1%
0.027 1
 
< 0.1%
0.029 2
 
< 0.1%
0.031 4
 
< 0.1%
0.032 7
 
0.1%
0.033 5
 
0.1%
0.034 2
 
< 0.1%
0.035 5
 
0.1%
ValueCountFrequency (%)
2.0 27
0.3%
0.284 1
 
< 0.1%
0.261 1
 
< 0.1%
0.24 1
 
< 0.1%
0.225 1
 
< 0.1%
0.193 1
 
< 0.1%
0.189 1
 
< 0.1%
0.187 1
 
< 0.1%
0.184 1
 
< 0.1%
0.118 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)12.8%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.13672651
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:53.605614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.026
Q10.039
median0.047
Q30.058
95-th percentile0.1575
Maximum2
Range2
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.40669516
Coefficient of variation (CV)2.9745158
Kurtosis17.183123
Mean0.13672651
Median Absolute Deviation (MAD)0.009
Skewness4.3673865
Sum81.489
Variance0.16540096
MonotonicityNot monotonic
2024-05-11T09:12:54.298409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.038 29
 
0.3%
0.039 27
 
0.3%
2.0 27
 
0.3%
0.043 25
 
0.2%
0.0 19
 
0.2%
0.05 19
 
0.2%
0.047 19
 
0.2%
0.048 18
 
0.2%
0.041 18
 
0.2%
0.052 18
 
0.2%
Other values (66) 377
 
3.8%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.021 1
 
< 0.1%
0.023 2
 
< 0.1%
0.024 1
 
< 0.1%
0.025 2
 
< 0.1%
0.026 6
 
0.1%
0.027 4
 
< 0.1%
0.028 9
0.1%
0.029 7
 
0.1%
0.03 5
 
0.1%
ValueCountFrequency (%)
2.0 27
0.3%
0.196 1
 
< 0.1%
0.183 1
 
< 0.1%
0.159 1
 
< 0.1%
0.157 1
 
< 0.1%
0.124 1
 
< 0.1%
0.11 1
 
< 0.1%
0.109 1
 
< 0.1%
0.105 1
 
< 0.1%
0.103 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)11.9%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.13063255
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:54.884733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02275
Q10.034
median0.04
Q30.052
95-th percentile0.1015
Maximum2
Range2
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.40788181
Coefficient of variation (CV)3.1223597
Kurtosis17.211421
Mean0.13063255
Median Absolute Deviation (MAD)0.008
Skewness4.3723266
Sum77.857
Variance0.16636757
MonotonicityNot monotonic
2024-05-11T09:12:55.399287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.038 45
 
0.4%
0.037 33
 
0.3%
0.039 33
 
0.3%
2.0 27
 
0.3%
0.024 26
 
0.3%
0.04 19
 
0.2%
0.0 19
 
0.2%
0.044 17
 
0.2%
0.047 17
 
0.2%
0.042 16
 
0.2%
Other values (61) 344
 
3.4%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
0.2%
0.017 1
 
< 0.1%
0.018 1
 
< 0.1%
0.019 2
 
< 0.1%
0.021 1
 
< 0.1%
0.022 6
 
0.1%
0.023 5
 
0.1%
0.024 26
0.3%
0.025 8
 
0.1%
0.026 6
 
0.1%
ValueCountFrequency (%)
2.0 27
0.3%
0.178 1
 
< 0.1%
0.115 1
 
< 0.1%
0.106 1
 
< 0.1%
0.1 1
 
< 0.1%
0.098 1
 
< 0.1%
0.095 1
 
< 0.1%
0.088 2
 
< 0.1%
0.087 1
 
< 0.1%
0.086 2
 
< 0.1%

이산화황 최대(ppm)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)2.0%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.66369463
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:55.938584image/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 deviation0.93976139
Coefficient of variation (CV)1.4159545
Kurtosis-1.4832492
Mean0.66369463
Median Absolute Deviation (MAD)0
Skewness0.7223072
Sum395.562
Variance0.88315146
MonotonicityNot monotonic
2024-05-11T09:12:56.392673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.004 331
 
3.3%
2.0 197
 
2.0%
0.003 40
 
0.4%
0.0 19
 
0.2%
0.01 2
 
< 0.1%
0.005 1
 
< 0.1%
0.013 1
 
< 0.1%
0.024 1
 
< 0.1%
0.008 1
 
< 0.1%
0.019 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
 
0.2%
0.003 40
 
0.4%
0.004 331
3.3%
0.005 1
 
< 0.1%
0.008 1
 
< 0.1%
0.01 2
 
< 0.1%
0.011 1
 
< 0.1%
0.013 1
 
< 0.1%
0.018 1
 
< 0.1%
0.019 1
 
< 0.1%
ValueCountFrequency (%)
2.0 197
2.0%
0.024 1
 
< 0.1%
0.019 1
 
< 0.1%
0.018 1
 
< 0.1%
0.013 1
 
< 0.1%
0.011 1
 
< 0.1%
0.01 2
 
< 0.1%
0.008 1
 
< 0.1%
0.005 1
 
< 0.1%
0.004 331
3.3%

이산화황 평균(ppm)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.5%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.66359564
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:57.338544image/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 deviation0.93983023
Coefficient of variation (CV)1.4162695
Kurtosis-1.483249
Mean0.66359564
Median Absolute Deviation (MAD)0
Skewness0.72231241
Sum395.503
Variance0.88328087
MonotonicityNot monotonic
2024-05-11T09:12:58.234505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.004 329
 
3.3%
2.0 197
 
2.0%
0.003 45
 
0.4%
0.0 19
 
0.2%
0.009 2
 
< 0.1%
0.008 1
 
< 0.1%
0.006 1
 
< 0.1%
0.005 1
 
< 0.1%
0.015 1
 
< 0.1%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
 
0.2%
0.003 45
 
0.4%
0.004 329
3.3%
0.005 1
 
< 0.1%
0.006 1
 
< 0.1%
0.008 1
 
< 0.1%
0.009 2
 
< 0.1%
0.015 1
 
< 0.1%
2.0 197
2.0%
ValueCountFrequency (%)
2.0 197
2.0%
0.015 1
 
< 0.1%
0.009 2
 
< 0.1%
0.008 1
 
< 0.1%
0.006 1
 
< 0.1%
0.005 1
 
< 0.1%
0.004 329
3.3%
0.003 45
 
0.4%
0.0 19
 
0.2%

이산화황 최소(ppm)
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)1.5%
Missing9404
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.66355537
Minimum0
Maximum2
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:12:59.043812image/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 deviation0.93985844
Coefficient of variation (CV)1.4163979
Kurtosis-1.4832489
Mean0.66355537
Median Absolute Deviation (MAD)0
Skewness0.72231314
Sum395.479
Variance0.88333389
MonotonicityNot monotonic
2024-05-11T09:12:59.926678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.004 324
 
3.2%
2.0 197
 
2.0%
0.003 50
 
0.5%
0.0 19
 
0.2%
0.006 2
 
< 0.1%
0.002 1
 
< 0.1%
0.007 1
 
< 0.1%
0.011 1
 
< 0.1%
0.001 1
 
< 0.1%
(Missing) 9404
94.0%
ValueCountFrequency (%)
0.0 19
 
0.2%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.003 50
 
0.5%
0.004 324
3.2%
0.006 2
 
< 0.1%
0.007 1
 
< 0.1%
0.011 1
 
< 0.1%
2.0 197
2.0%
ValueCountFrequency (%)
2.0 197
2.0%
0.011 1
 
< 0.1%
0.007 1
 
< 0.1%
0.006 2
 
< 0.1%
0.004 324
3.2%
0.003 50
 
0.5%
0.002 1
 
< 0.1%
0.001 1
 
< 0.1%
0.0 19
 
0.2%

암모니아 최대(ppm)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9567 
0.0
 
432
9.982
 
1

Length

Max length5
Median length4
Mean length3.9569
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9567
95.7%
0.0 432
 
4.3%
9.982 1
 
< 0.1%

Length

2024-05-11T09:13:00.947227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:13:01.871662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9567
95.7%
0.0 432
 
4.3%
9.982 1
 
< 0.1%

암모니아 평균(ppm)
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9567 
0.0
 
432
2.758
 
1

Length

Max length5
Median length4
Mean length3.9569
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9567
95.7%
0.0 432
 
4.3%
2.758 1
 
< 0.1%

Length

2024-05-11T09:13:02.407286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:13:02.842669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9567
95.7%
0.0 432
 
4.3%
2.758 1
 
< 0.1%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9567 
0
 
433

Length

Max length4
Median length4
Mean length3.8701
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> 9567
95.7%
0 433
 
4.3%

Length

2024-05-11T09:13:03.321394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:13:03.760896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9567
95.7%
0 433
 
4.3%

황화수소 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)4.6%
Missing9567
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00091685912
Minimum0
Maximum0.066
Zeros388
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:04.130603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.003
Maximum0.066
Range0.066
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0051110372
Coefficient of variation (CV)5.5745066
Kurtosis94.222224
Mean0.00091685912
Median Absolute Deviation (MAD)0
Skewness8.9764486
Sum0.397
Variance2.6122701 × 10-5
MonotonicityNot monotonic
2024-05-11T09:13:04.682776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 388
 
3.9%
0.001 15
 
0.1%
0.002 7
 
0.1%
0.007 3
 
< 0.1%
0.013 3
 
< 0.1%
0.003 2
 
< 0.1%
0.01 2
 
< 0.1%
0.011 1
 
< 0.1%
0.031 1
 
< 0.1%
0.014 1
 
< 0.1%
Other values (10) 10
 
0.1%
(Missing) 9567
95.7%
ValueCountFrequency (%)
0.0 388
3.9%
0.001 15
 
0.1%
0.002 7
 
0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%
0.006 1
 
< 0.1%
0.007 3
 
< 0.1%
0.009 1
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.066 1
 
< 0.1%
0.053 1
 
< 0.1%
0.038 1
 
< 0.1%
0.031 1
 
< 0.1%
0.017 1
 
< 0.1%
0.016 1
 
< 0.1%
0.014 1
 
< 0.1%
0.013 3
< 0.1%
0.012 1
 
< 0.1%
0.011 1
 
< 0.1%

황화수소 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)3.0%
Missing9567
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00067898383
Minimum0
Maximum0.063
Zeros407
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:05.138175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.001
Maximum0.063
Range0.063
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0043050301
Coefficient of variation (CV)6.3404015
Kurtosis120.04293
Mean0.00067898383
Median Absolute Deviation (MAD)0
Skewness9.9539147
Sum0.294
Variance1.8533284 × 10-5
MonotonicityNot monotonic
2024-05-11T09:13:05.451396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 407
 
4.1%
0.001 5
 
0.1%
0.005 4
 
< 0.1%
0.009 3
 
< 0.1%
0.002 3
 
< 0.1%
0.015 2
 
< 0.1%
0.01 2
 
< 0.1%
0.012 2
 
< 0.1%
0.035 1
 
< 0.1%
0.063 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 9567
95.7%
ValueCountFrequency (%)
0.0 407
4.1%
0.001 5
 
0.1%
0.002 3
 
< 0.1%
0.005 4
 
< 0.1%
0.007 1
 
< 0.1%
0.009 3
 
< 0.1%
0.01 2
 
< 0.1%
0.012 2
 
< 0.1%
0.015 2
 
< 0.1%
0.024 1
 
< 0.1%
ValueCountFrequency (%)
0.063 1
 
< 0.1%
0.035 1
 
< 0.1%
0.033 1
 
< 0.1%
0.024 1
 
< 0.1%
0.015 2
< 0.1%
0.012 2
< 0.1%
0.01 2
< 0.1%
0.009 3
< 0.1%
0.007 1
 
< 0.1%
0.005 4
< 0.1%

황화수소 최소(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)3.0%
Missing9567
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00048498845
Minimum0
Maximum0.059
Zeros416
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:06.019022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.059
Range0.059
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0036470918
Coefficient of variation (CV)7.519956
Kurtosis170.08338
Mean0.00048498845
Median Absolute Deviation (MAD)0
Skewness11.952962
Sum0.21
Variance1.3301279 × 10-5
MonotonicityNot monotonic
2024-05-11T09:13:06.550132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 416
 
4.2%
0.008 3
 
< 0.1%
0.013 2
 
< 0.1%
0.003 2
 
< 0.1%
0.011 2
 
< 0.1%
0.033 1
 
< 0.1%
0.002 1
 
< 0.1%
0.004 1
 
< 0.1%
0.009 1
 
< 0.1%
0.059 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 9567
95.7%
ValueCountFrequency (%)
0.0 416
4.2%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.003 2
 
< 0.1%
0.004 1
 
< 0.1%
0.005 1
 
< 0.1%
0.008 3
 
< 0.1%
0.009 1
 
< 0.1%
0.011 2
 
< 0.1%
0.013 2
 
< 0.1%
ValueCountFrequency (%)
0.059 1
 
< 0.1%
0.033 1
 
< 0.1%
0.019 1
 
< 0.1%
0.013 2
< 0.1%
0.011 2
< 0.1%
0.009 1
 
< 0.1%
0.008 3
< 0.1%
0.005 1
 
< 0.1%
0.004 1
 
< 0.1%
0.003 2
< 0.1%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)34.0%
Missing9765
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.32222979
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:06.976262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.033
median0.045
Q30.346
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.313

Descriptive statistics

Standard deviation0.61494318
Coefficient of variation (CV)1.9083995
Kurtosis3.3174053
Mean0.32222979
Median Absolute Deviation (MAD)0.014
Skewness2.2071605
Sum75.724
Variance0.37815511
MonotonicityNot monotonic
2024-05-11T09:13:07.447927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 26
 
0.3%
0.0 10
 
0.1%
0.034 9
 
0.1%
0.002 9
 
0.1%
0.033 9
 
0.1%
0.04 8
 
0.1%
0.046 8
 
0.1%
0.03 7
 
0.1%
0.003 7
 
0.1%
0.039 6
 
0.1%
Other values (70) 136
 
1.4%
(Missing) 9765
97.7%
ValueCountFrequency (%)
0.0 10
0.1%
0.002 9
0.1%
0.003 7
0.1%
0.02 1
 
< 0.1%
0.021 2
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.027 1
 
< 0.1%
0.028 1
 
< 0.1%
0.029 4
 
< 0.1%
ValueCountFrequency (%)
2.0 26
0.3%
0.784 1
 
< 0.1%
0.686 1
 
< 0.1%
0.661 1
 
< 0.1%
0.658 1
 
< 0.1%
0.644 1
 
< 0.1%
0.561 1
 
< 0.1%
0.545 1
 
< 0.1%
0.539 1
 
< 0.1%
0.529 1
 
< 0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)32.8%
Missing9765
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.31822553
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:07.905706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.031
median0.043
Q30.3365
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.3055

Descriptive statistics

Standard deviation0.61496698
Coefficient of variation (CV)1.9324879
Kurtosis3.3749373
Mean0.31822553
Median Absolute Deviation (MAD)0.013
Skewness2.2230587
Sum74.783
Variance0.37818438
MonotonicityNot monotonic
2024-05-11T09:13:08.374558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 26
 
0.3%
0.002 16
 
0.2%
0.0 10
 
0.1%
0.032 10
 
0.1%
0.037 9
 
0.1%
0.043 9
 
0.1%
0.031 7
 
0.1%
0.03 7
 
0.1%
0.04 7
 
0.1%
0.036 6
 
0.1%
Other values (67) 128
 
1.3%
(Missing) 9765
97.7%
ValueCountFrequency (%)
0.0 10
0.1%
0.002 16
0.2%
0.019 2
 
< 0.1%
0.02 2
 
< 0.1%
0.022 2
 
< 0.1%
0.023 1
 
< 0.1%
0.025 1
 
< 0.1%
0.027 4
 
< 0.1%
0.028 5
 
0.1%
0.029 4
 
< 0.1%
ValueCountFrequency (%)
2.0 26
0.3%
0.747 1
 
< 0.1%
0.635 1
 
< 0.1%
0.629 1
 
< 0.1%
0.619 1
 
< 0.1%
0.565 1
 
< 0.1%
0.554 1
 
< 0.1%
0.538 1
 
< 0.1%
0.525 1
 
< 0.1%
0.522 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)31.9%
Missing9765
Missing (%)97.7%
Infinite0
Infinite (%)0.0%
Mean0.31479149
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:08.859427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.029
median0.04
Q30.3305
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.3015

Descriptive statistics

Standard deviation0.61517828
Coefficient of variation (CV)1.9542405
Kurtosis3.4169666
Mean0.31479149
Median Absolute Deviation (MAD)0.013
Skewness2.2347393
Sum73.976
Variance0.37844431
MonotonicityNot monotonic
2024-05-11T09:13:09.398904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 26
 
0.3%
0.001 15
 
0.1%
0.029 11
 
0.1%
0.0 10
 
0.1%
0.036 9
 
0.1%
0.034 9
 
0.1%
0.031 7
 
0.1%
0.047 7
 
0.1%
0.04 6
 
0.1%
0.046 6
 
0.1%
Other values (65) 129
 
1.3%
(Missing) 9765
97.7%
ValueCountFrequency (%)
0.0 10
0.1%
0.001 15
0.1%
0.002 1
 
< 0.1%
0.018 5
 
0.1%
0.019 2
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 1
 
< 0.1%
0.025 4
 
< 0.1%
0.026 5
 
0.1%
ValueCountFrequency (%)
2.0 26
0.3%
0.69 1
 
< 0.1%
0.617 1
 
< 0.1%
0.605 1
 
< 0.1%
0.591 1
 
< 0.1%
0.547 1
 
< 0.1%
0.528 1
 
< 0.1%
0.523 1
 
< 0.1%
0.52 1
 
< 0.1%
0.511 1
 
< 0.1%
Distinct1563
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-01 00:07:23
Maximum2024-01-02 04:07:30
2024-05-11T09:13:09.869642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:13:10.279290image/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
17015SDOT001V02Q19401552024-01-01_05:07:00residential_areaNowon-guWolgye2-dong1917152018167.26.55.8747066<NA><NA><NA><NA><NA><NA>3722531580.00.00.04744410.010.010.010.080.080.071.061.061.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 17:07:51
18053SDOT001OC3CL2000272024-01-01_06:07:00main_streetGangseo-guGayang-dong1998101095.65.55.3898785<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>696664<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>2024-01-01 18:07:50
5828SDOT001V02Q19403722024-01-01_06:07:00industrial_areaGangdong-guAmsa2-dong231511226116240.90.80.7929191<NA><NA><NA><NA><NA><NA>0000.00.00.05554540.030.020.020.020.020.011.051.041.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 06:08:01
5213SDOT001V02Q19406212024-01-01_05:07:00residential_areaMapo-guHapjeong-dong111091211103.73.32.6888584<NA><NA><NA><NA><NA><NA>3330.00.00.05143420.010.010.010.040.030.031.061.061.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 05:08:18
3961SDOT001V02Q19404542024-01-01_04:07:00industrial_areaSeongdong-guYongdap-dong2421192622201.41.21.1898888<NA><NA><NA><NA><NA><NA>0000.00.00.04744440.010.010.010.020.020.011.021.011.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 04:08:07
8973SDOT001V02Q19400882024-01-01_09:07:00commercial_areaDongdaemun-guDapsip-ri1-dong3027253330272.42.21.8868685<NA><NA><NA><NA><NA><NA>204314014250.10.10.05149480.020.020.020.040.030.031.141.141.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 09:08:03
3006SDOT001V02Q19408192024-01-01_03:07:00commercial_areaSongpa-guSeokchon-dong2322212524232.32.21.9878684<NA><NA><NA><NA><NA><NA>0000.00.00.04939360.050.050.040.020.020.021.051.051.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 03:08:13
19384SDOT001OC3CL2000552024-01-01_07:07:00roads_and_parksSeocho-guBanpo1-dong2113225.45.45.3100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>706865<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>2024-01-01 19:08:11
21654SDOT001V02Q19405762024-01-01_09:07:00residential_areaMapo-guSangam-dong1816151917166.76.36.1706967<NA><NA><NA><NA><NA><NA>0000.00.00.05144420.020.010.010.150.140.141.071.071.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 21:08:17
22310SDOT001V02Q19401182024-01-01_10:07:00residential_areaDongdaemun-guJegi-dong3026213328236.26.16.0686766<NA><NA><NA><NA><NA><NA>0000.00.00.05044400.030.020.020.120.120.111.11.091.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 22:08:00
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
13906SDOT001V02Q19402812024-01-01_02:07:00residential_areaNowon-guSanggye10-dong2113227.87.47.1646362<NA><NA><NA><NA><NA><NA>6956555445300.40.30.35955540.070.060.060.130.130.121.021.011.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 14:07:49
26255SDOT001V02Q19403322024-01-02_03:07:00residential_areaEunpyeong-guSinsa1-dong4644425048465.35.04.8757472<NA><NA><NA><NA><NA><NA>6660.00.00.05044420.030.020.020.030.020.021.061.051.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-02 03:07:37
13113SDOT001V02Q19400692024-01-01_01:07:00residential_areaGangseo-guYeomchang-dong2321202523227.87.16.1696664<NA><NA><NA><NA><NA><NA>5333350317350.30.20.14443410.020.020.010.120.110.111.031.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 13:08:01
9638SDOT001V02Q19405552024-01-01_10:07:00residential_areaGwanak-guJungang-dong1917152018166.04.33.2848073<NA><NA><NA><NA><NA><NA>5404337217310.30.20.14440390.020.020.010.10.10.11.071.061.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 10:07:39
15307SDOT001V02Q19406322024-01-01_03:07:00residential_areaSeongdong-guWangsimni-doSeondong1211101312119.28.78.1615957<NA><NA><NA><NA><NA><NA>3604232010490.20.10.15249450.020.020.010.050.050.041.041.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 15:08:11
7773SDOT001OC3CL2101002024-01-01_08:07:00residential_areaGangdong-guAmsa1-dong555555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2707600.00.00.06756500.020.020.010.030.030.021.061.061.05<NA><NA><NA>0.260.3570.2320.0550.0490.0432.02.02.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 08:07:52
3433SDOT001V02Q19406722024-01-01_04:07:00residential_areaGwanak-guSinllim-dong1817171918183.83.63.4848382<NA><NA><NA><NA><NA><NA>0000.00.00.04843390.010.010.00.120.120.111.011.01.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 04:07:33
2732SDOT001V02Q19402422024-01-01_03:07:00residential_areaDobong-guChang3-dong8879980.60.60.5888888<NA><NA><NA><NA><NA><NA>1312110.00.00.04038360.020.020.020.030.020.021.081.071.07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 03:07:57
10017SDOT001OC3CL2000742024-01-01_10:07:00main_streetGangdong-guCheonho1-dong2624222826241.71.30.9100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>696259<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>2024-01-01 10:08:02
16438SDOT001V02Q19408092024-01-01_04:07:00residential_areaYangcheon-guMok2-dong1816151917168.07.57.3646361<NA><NA><NA><NA><NA><NA>276914066300.20.10.04847450.010.010.00.020.020.011.01.00.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-01 16:08:17