Overview

Dataset statistics

Number of variables64
Number of observations5154
Missing cells129293
Missing cells (%)39.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory569.0 B

Variable types

Categorical11
Text2
Numeric47
Unsupported3
DateTime1

Dataset

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

Alerts

모델번호 has constant value ""Constant
자외선 최대(UV) is highly imbalanced (56.7%)Imbalance
자외선 평균(UV) is highly imbalanced (56.7%)Imbalance
자외선 최대(UV).1 is highly imbalanced (56.9%)Imbalance
이산화황 최대(ppm) is highly imbalanced (83.6%)Imbalance
이산화황 평균(ppm) is highly imbalanced (81.8%)Imbalance
이산화황 최소(ppm) is highly imbalanced (83.6%)Imbalance
암모니아 최소(ppm) is highly imbalanced (74.2%)Imbalance
온도 최대(℃) has 292 (5.7%) missing valuesMissing
온도 평균(℃) has 292 (5.7%) missing valuesMissing
온도 최소(℃) has 292 (5.7%) missing valuesMissing
습도 최대(%) has 292 (5.7%) missing valuesMissing
습도 평균(%) has 292 (5.7%) missing valuesMissing
습도 최소(%) has 292 (5.7%) missing valuesMissing
풍속 최대(m/s) has 4878 (94.6%) missing valuesMissing
풍속 평균(m/s) has 4878 (94.6%) missing valuesMissing
풍속 최소(m/s) has 4878 (94.6%) missing valuesMissing
풍향 최대(m/s) has 4878 (94.6%) missing valuesMissing
풍향 평균(m/s) has 4878 (94.6%) missing valuesMissing
풍향 최소(m/s) has 4878 (94.6%) missing valuesMissing
조도 최대(lux) has 1107 (21.5%) missing valuesMissing
조도 평균(lux) has 1107 (21.5%) missing valuesMissing
조도 최소(lux) has 1107 (21.5%) missing valuesMissing
소음 최대(dB) has 146 (2.8%) missing valuesMissing
소음 평균(dB) has 146 (2.8%) missing valuesMissing
소음 최소(dB) has 146 (2.8%) missing valuesMissing
진동(x) 최대(mm/s) has 1126 (21.8%) missing valuesMissing
진동(x) 평균(mm/s) has 1126 (21.8%) missing valuesMissing
진동(x) 최소(mm/s) has 1126 (21.8%) missing valuesMissing
진동(y) 최대(mm/s) has 1126 (21.8%) missing valuesMissing
진동(y) 평균(mm/s) has 1126 (21.8%) missing valuesMissing
진동(y) 최소(mm/s) has 1126 (21.8%) missing valuesMissing
진동(z) 최대(mm/s) has 1126 (21.8%) missing valuesMissing
진동(z) 평균(mm/s) has 1126 (21.8%) missing valuesMissing
진동(z) 최소(mm/s) has 1126 (21.8%) missing valuesMissing
흑구온도 최대(℃) has 5154 (100.0%) missing valuesMissing
흑구온도 평균(℃) has 5154 (100.0%) missing valuesMissing
흑구온도 최소(℃) has 5154 (100.0%) missing valuesMissing
이산화질소 최대(ppm) has 4838 (93.9%) missing valuesMissing
이산화질소 평균(ppm) has 4838 (93.9%) missing valuesMissing
이산화질소 최소(ppm) has 4838 (93.9%) missing valuesMissing
일산화탄소 최대(ppm) has 4838 (93.9%) missing valuesMissing
일산화탄소 평균(ppm) has 4838 (93.9%) missing valuesMissing
일산화탄소 최소(ppm) has 4838 (93.9%) missing valuesMissing
암모니아 최대(ppm) has 4930 (95.7%) missing valuesMissing
암모니아 평균(ppm) has 4930 (95.7%) missing valuesMissing
황화수소 최대(ppm) has 4930 (95.7%) missing valuesMissing
황화수소 평균(ppm) has 4930 (95.7%) missing valuesMissing
황화수소 최소(ppm) has 4930 (95.7%) missing valuesMissing
오존 최대(ppm) has 5030 (97.6%) missing valuesMissing
오존 평균(ppm) has 5030 (97.6%) missing valuesMissing
오존 최소(ppm) has 5030 (97.6%) missing valuesMissing
초미세먼지 최대(㎍/㎥) is highly skewed (γ1 = 23.10383818)Skewed
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 30.39015342)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 31.58094801)Skewed
조도 평균(lux) is highly skewed (γ1 = 20.44339412)Skewed
조도 최소(lux) is highly skewed (γ1 = 27.21912031)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 143 (2.8%) zerosZeros
초미세먼지 평균(㎍/㎥) has 144 (2.8%) zerosZeros
초미세먼지 최소(㎍/㎥) has 145 (2.8%) zerosZeros
온도 최대(℃) has 144 (2.8%) zerosZeros
온도 평균(℃) has 125 (2.4%) zerosZeros
온도 최소(℃) has 114 (2.2%) zerosZeros
조도 최대(lux) has 2732 (53.0%) zerosZeros
조도 평균(lux) has 2743 (53.2%) zerosZeros
조도 최소(lux) has 2779 (53.9%) zerosZeros
진동(x) 최소(mm/s) has 166 (3.2%) zerosZeros
암모니아 최대(ppm) has 218 (4.2%) zerosZeros
암모니아 평균(ppm) has 218 (4.2%) zerosZeros
황화수소 최대(ppm) has 201 (3.9%) zerosZeros
황화수소 평균(ppm) has 206 (4.0%) zerosZeros
황화수소 최소(ppm) has 212 (4.1%) zerosZeros

Reproduction

Analysis started2024-05-11 09:16:00.569576
Analysis finished2024-05-11 09:16:01.796675
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모델번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
SDOT001
5154 

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 5154
100.0%

Length

2024-05-11T09:16:01.994971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:02.517425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 5154
100.0%

시리얼
Text

Distinct1012
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-05-11T09:16:03.119513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters56694
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 rowV02Q1940307
2nd rowV02Q1940254
3rd rowOC3DL220022
4th rowV02Q2300005
5th rowV02Q1940172
ValueCountFrequency (%)
v02q1940307 6
 
0.1%
v02q1940779 6
 
0.1%
v02q1940464 6
 
0.1%
oc3cl200128 6
 
0.1%
v02q1940788 6
 
0.1%
oc3cl200122 6
 
0.1%
v02q1940298 6
 
0.1%
v02q1940872 6
 
0.1%
oc3cl200048 6
 
0.1%
v02q1940591 6
 
0.1%
Other values (1002) 5094
98.8%
2024-05-11T09:16:04.087286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12018
21.2%
2 6965
12.3%
1 5943
10.5%
4 5375
9.5%
9 4842
8.5%
V 3840
 
6.8%
Q 3840
 
6.8%
3 2806
 
4.9%
C 2592
 
4.6%
5 1520
 
2.7%
Other values (6) 6953
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43758
77.2%
Uppercase Letter 12936
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12018
27.5%
2 6965
15.9%
1 5943
13.6%
4 5375
12.3%
9 4842
11.1%
3 2806
 
6.4%
5 1520
 
3.5%
7 1481
 
3.4%
6 1454
 
3.3%
8 1354
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 3840
29.7%
Q 3840
29.7%
C 2592
20.0%
O 1314
 
10.2%
L 1314
 
10.2%
D 36
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 43758
77.2%
Latin 12936
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12018
27.5%
2 6965
15.9%
1 5943
13.6%
4 5375
12.3%
9 4842
11.1%
3 2806
 
6.4%
5 1520
 
3.5%
7 1481
 
3.4%
6 1454
 
3.3%
8 1354
 
3.1%
Latin
ValueCountFrequency (%)
V 3840
29.7%
Q 3840
29.7%
C 2592
20.0%
O 1314
 
10.2%
L 1314
 
10.2%
D 36
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12018
21.2%
2 6965
12.3%
1 5943
10.5%
4 5375
9.5%
9 4842
8.5%
V 3840
 
6.8%
Q 3840
 
6.8%
3 2806
 
4.9%
C 2592
 
4.6%
5 1520
 
2.7%
Other values (6) 6953
12.3%

측정시간
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-01-29_05:07:00
1012 
2024-01-29_01:07:00
1011 
2024-01-29_03:07:00
1010 
2024-01-29_04:07:00
1010 
2024-01-29_12:07:00
894 
Other values (2)
217 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-29_12:07:00
2nd row2024-01-29_12:07:00
3rd row2024-01-29_12:07:00
4th row2024-01-29_12:07:00
5th row2024-01-29_12:07:00

Common Values

ValueCountFrequency (%)
2024-01-29_05:07:00 1012
19.6%
2024-01-29_01:07:00 1011
19.6%
2024-01-29_03:07:00 1010
19.6%
2024-01-29_04:07:00 1010
19.6%
2024-01-29_12:07:00 894
17.3%
2024-01-29_02:07:00 197
 
3.8%
2024-01-29_06:07:00 20
 
0.4%

Length

2024-05-11T09:16:04.528914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:04.966000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-29_05:07:00 1012
19.6%
2024-01-29_01:07:00 1011
19.6%
2024-01-29_03:07:00 1010
19.6%
2024-01-29_04:07:00 1010
19.6%
2024-01-29_12:07:00 894
17.3%
2024-01-29_02:07:00 197
 
3.8%
2024-01-29_06:07:00 20
 
0.4%

지역
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
residential_area
3615 
roads_and_parks
657 
traditional_markets
 
246
main_street
 
207
industrial_area
 
196
Other values (3)
 
233

Length

Max length19
Median length16
Mean length15.657936
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
residential_area 3615
70.1%
roads_and_parks 657
 
12.7%
traditional_markets 246
 
4.8%
main_street 207
 
4.0%
industrial_area 196
 
3.8%
commercial_area 171
 
3.3%
parks 42
 
0.8%
public_facilities 20
 
0.4%

Length

2024-05-11T09:16:05.461258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:05.825122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 3615
70.1%
roads_and_parks 657
 
12.7%
traditional_markets 246
 
4.8%
main_street 207
 
4.0%
industrial_area 196
 
3.8%
commercial_area 171
 
3.3%
parks 42
 
0.8%
public_facilities 20
 
0.4%

자치구
Categorical

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Yangcheon-gu
427 
Mapo-gu
396 
Gangdong-gu
382 
Gwanak-gu
370 
Seongdong-gu
 
309
Other values (21)
3270 

Length

Max length16
Median length13
Mean length10.104579
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJungnang-gu
2nd rowJungnang-gu
3rd rowGwangjin-gu
4th rowEunpyeong-gu
5th rowJungnang-gu

Common Values

ValueCountFrequency (%)
Yangcheon-gu 427
 
8.3%
Mapo-gu 396
 
7.7%
Gangdong-gu 382
 
7.4%
Gwanak-gu 370
 
7.2%
Seongdong-gu 309
 
6.0%
Jongno-gu 245
 
4.8%
Songpa-gu 226
 
4.4%
Gangseo-gu 215
 
4.2%
Dobong-gu 210
 
4.1%
Gangnam-gu 208
 
4.0%
Other values (16) 2166
42.0%

Length

2024-05-11T09:16:06.236658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 427
 
8.3%
mapo-gu 396
 
7.7%
gangdong-gu 382
 
7.4%
gwanak-gu 370
 
7.2%
seongdong-gu 309
 
6.0%
jongno-gu 245
 
4.8%
songpa-gu 226
 
4.4%
gangseo-gu 215
 
4.2%
dobong-gu 210
 
4.1%
gangnam-gu 208
 
4.0%
Other values (16) 2166
42.0%

행정동
Text

Distinct400
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2024-05-11T09:16:06.831842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.492239
Min length7

Characters and Unicode

Total characters64385
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 rowMyeonmok3.8-dong
2nd rowSinnae2-dong
3rd rowJunggok2-dong
4th rowJingwan-dong
5th rowMyeonmok4-dong
ValueCountFrequency (%)
cheonho2-dong 60
 
1.2%
amsa1-dong 55
 
1.1%
mangwon-dong1 54
 
1.0%
mok5-dong 47
 
0.9%
sinllim-dong 46
 
0.9%
seongsan-dong2 46
 
0.9%
cheongnyong-dong 41
 
0.8%
sinjeong3-dong 41
 
0.8%
ihwa-dong 40
 
0.8%
mok2-dong 38
 
0.7%
Other values (390) 4686
90.9%
2024-05-11T09:16:08.062314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 10638
16.5%
o 9065
14.1%
g 8962
13.9%
d 5464
 
8.5%
- 5456
 
8.5%
a 3607
 
5.6%
e 2650
 
4.1%
S 1489
 
2.3%
h 1289
 
2.0%
i 1272
 
2.0%
Other values (42) 14493
22.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50120
77.8%
Dash Punctuation 5456
 
8.5%
Uppercase Letter 5171
 
8.0%
Decimal Number 3485
 
5.4%
Other Punctuation 145
 
0.2%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 10638
21.2%
o 9065
18.1%
g 8962
17.9%
d 5464
10.9%
a 3607
 
7.2%
e 2650
 
5.3%
h 1289
 
2.6%
i 1272
 
2.5%
u 1217
 
2.4%
m 810
 
1.6%
Other values (12) 5146
10.3%
Uppercase Letter
ValueCountFrequency (%)
S 1489
28.8%
G 482
 
9.3%
M 480
 
9.3%
J 421
 
8.1%
B 391
 
7.6%
C 343
 
6.6%
H 339
 
6.6%
D 334
 
6.5%
Y 284
 
5.5%
I 178
 
3.4%
Other values (7) 430
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 1217
34.9%
2 1103
31.6%
3 527
15.1%
4 312
 
9.0%
5 118
 
3.4%
7 87
 
2.5%
6 84
 
2.4%
8 26
 
0.7%
0 6
 
0.2%
9 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5456
100.0%
Other Punctuation
ValueCountFrequency (%)
. 145
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55291
85.9%
Common 9094
 
14.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 10638
19.2%
o 9065
16.4%
g 8962
16.2%
d 5464
9.9%
a 3607
 
6.5%
e 2650
 
4.8%
S 1489
 
2.7%
h 1289
 
2.3%
i 1272
 
2.3%
u 1217
 
2.2%
Other values (29) 9638
17.4%
Common
ValueCountFrequency (%)
- 5456
60.0%
1 1217
 
13.4%
2 1103
 
12.1%
3 527
 
5.8%
4 312
 
3.4%
. 145
 
1.6%
5 118
 
1.3%
7 87
 
1.0%
6 84
 
0.9%
8 26
 
0.3%
Other values (3) 19
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 10638
16.5%
o 9065
14.1%
g 8962
13.9%
d 5464
 
8.5%
- 5456
 
8.5%
a 3607
 
5.6%
e 2650
 
4.1%
S 1489
 
2.3%
h 1289
 
2.0%
i 1272
 
2.0%
Other values (42) 14493
22.5%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct92
Distinct (%)1.8%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean16.404757
Minimum0
Maximum1000
Zeros143
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:08.659814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median15
Q320
95-th percentile32
Maximum1000
Range1000
Interquartile range (IQR)11

Descriptive statistics

Standard deviation32.968411
Coefficient of variation (CV)2.009686
Kurtosis645.96114
Mean16.404757
Median Absolute Deviation (MAD)5
Skewness23.103838
Sum84140
Variance1086.9161
MonotonicityNot monotonic
2024-05-11T09:16:09.234343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 667
 
12.9%
14 304
 
5.9%
15 288
 
5.6%
16 281
 
5.5%
17 269
 
5.2%
13 268
 
5.2%
12 243
 
4.7%
11 207
 
4.0%
19 205
 
4.0%
18 192
 
3.7%
Other values (82) 2205
42.8%
ValueCountFrequency (%)
0 143
 
2.8%
1 74
 
1.4%
2 667
12.9%
3 42
 
0.8%
4 31
 
0.6%
5 57
 
1.1%
6 60
 
1.2%
7 61
 
1.2%
8 96
 
1.9%
9 140
 
2.7%
ValueCountFrequency (%)
1000 4
0.1%
571 1
 
< 0.1%
423 1
 
< 0.1%
413 1
 
< 0.1%
363 1
 
< 0.1%
313 1
 
< 0.1%
283 1
 
< 0.1%
259 1
 
< 0.1%
230 1
 
< 0.1%
198 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct70
Distinct (%)1.4%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean14.217586
Minimum0
Maximum1000
Zeros144
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:09.675121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median13
Q318
95-th percentile28
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation29.107992
Coefficient of variation (CV)2.047323
Kurtosis1024.6419
Mean14.217586
Median Absolute Deviation (MAD)5
Skewness30.390153
Sum72922
Variance847.27519
MonotonicityNot monotonic
2024-05-11T09:16:10.115258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 569
 
11.0%
14 329
 
6.4%
13 310
 
6.0%
12 294
 
5.7%
15 294
 
5.7%
16 287
 
5.6%
11 280
 
5.4%
17 240
 
4.7%
18 208
 
4.0%
10 197
 
3.8%
Other values (60) 2121
41.2%
ValueCountFrequency (%)
0 144
 
2.8%
1 569
11.0%
2 195
 
3.8%
3 39
 
0.8%
4 28
 
0.5%
5 77
 
1.5%
6 79
 
1.5%
7 77
 
1.5%
8 115
 
2.2%
9 180
 
3.5%
ValueCountFrequency (%)
1000 4
0.1%
172 1
 
< 0.1%
151 1
 
< 0.1%
113 1
 
< 0.1%
81 1
 
< 0.1%
80 1
 
< 0.1%
76 1
 
< 0.1%
74 1
 
< 0.1%
72 1
 
< 0.1%
68 1
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct60
Distinct (%)1.2%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean13.146422
Minimum0
Maximum1000
Zeros145
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:10.557651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median13
Q317
95-th percentile25
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation28.747451
Coefficient of variation (CV)2.1867129
Kurtosis1081.5468
Mean13.146422
Median Absolute Deviation (MAD)5
Skewness31.580948
Sum67428
Variance826.41596
MonotonicityNot monotonic
2024-05-11T09:16:11.044691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 737
14.3%
11 350
 
6.8%
13 334
 
6.5%
14 332
 
6.4%
15 314
 
6.1%
12 299
 
5.8%
10 264
 
5.1%
16 240
 
4.7%
17 215
 
4.2%
9 211
 
4.1%
Other values (50) 1833
35.6%
ValueCountFrequency (%)
0 145
 
2.8%
1 737
14.3%
2 48
 
0.9%
3 33
 
0.6%
4 41
 
0.8%
5 82
 
1.6%
6 102
 
2.0%
7 101
 
2.0%
8 143
 
2.8%
9 211
 
4.1%
ValueCountFrequency (%)
1000 4
0.1%
75 1
 
< 0.1%
72 1
 
< 0.1%
70 1
 
< 0.1%
64 1
 
< 0.1%
59 1
 
< 0.1%
57 1
 
< 0.1%
56 1
 
< 0.1%
55 1
 
< 0.1%
53 1
 
< 0.1%

미세먼지 최대(㎍/㎥)
Real number (ℝ)

Distinct96
Distinct (%)1.9%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean43.747124
Minimum0
Maximum1000
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:11.573394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median16
Q323
95-th percentile45
Maximum1000
Range1000
Interquartile range (IQR)12

Descriptive statistics

Standard deviation159.06348
Coefficient of variation (CV)3.6359758
Kurtosis31.746981
Mean43.747124
Median Absolute Deviation (MAD)6
Skewness5.7810699
Sum224379
Variance25301.192
MonotonicityNot monotonic
2024-05-11T09:16:12.218496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 668
 
13.0%
15 292
 
5.7%
16 288
 
5.6%
17 268
 
5.2%
14 261
 
5.1%
18 258
 
5.0%
13 237
 
4.6%
12 193
 
3.7%
19 186
 
3.6%
23 161
 
3.1%
Other values (86) 2317
45.0%
ValueCountFrequency (%)
0 11
 
0.2%
1 1
 
< 0.1%
2 77
 
1.5%
3 668
13.0%
4 37
 
0.7%
5 47
 
0.9%
6 46
 
0.9%
7 55
 
1.1%
8 61
 
1.2%
9 99
 
1.9%
ValueCountFrequency (%)
1000 136
2.6%
628 1
 
< 0.1%
465 1
 
< 0.1%
454 1
 
< 0.1%
399 1
 
< 0.1%
344 1
 
< 0.1%
311 1
 
< 0.1%
285 1
 
< 0.1%
253 1
 
< 0.1%
218 1
 
< 0.1%

미세먼지 평균(㎍/㎥)
Real number (ℝ)

Distinct73
Distinct (%)1.4%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean41.35348
Minimum0
Maximum1000
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:12.781794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median15
Q320
95-th percentile37
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation158.53666
Coefficient of variation (CV)3.8336958
Kurtosis32.49853
Mean41.35348
Median Absolute Deviation (MAD)5
Skewness5.8605243
Sum212102
Variance25133.874
MonotonicityNot monotonic
2024-05-11T09:16:13.291063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 574
 
11.1%
15 315
 
6.1%
14 304
 
5.9%
13 289
 
5.6%
16 284
 
5.5%
17 276
 
5.4%
12 271
 
5.3%
18 229
 
4.4%
19 187
 
3.6%
11 187
 
3.6%
Other values (63) 2213
42.9%
ValueCountFrequency (%)
0 12
 
0.2%
1 4
 
0.1%
2 574
11.1%
3 187
 
3.6%
4 38
 
0.7%
5 46
 
0.9%
6 64
 
1.2%
7 74
 
1.4%
8 78
 
1.5%
9 118
 
2.3%
ValueCountFrequency (%)
1000 136
2.6%
189 1
 
< 0.1%
166 1
 
< 0.1%
124 1
 
< 0.1%
89 1
 
< 0.1%
87 1
 
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
79 1
 
< 0.1%
74 1
 
< 0.1%

미세먼지 최소(㎍/㎥)
Real number (ℝ)

Distinct64
Distinct (%)1.2%
Missing25
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean40.201989
Minimum0
Maximum1000
Zeros13
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:13.860010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median14
Q319
95-th percentile33
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation158.64329
Coefficient of variation (CV)3.9461552
Kurtosis32.573286
Mean40.201989
Median Absolute Deviation (MAD)5
Skewness5.8697723
Sum206196
Variance25167.692
MonotonicityNot monotonic
2024-05-11T09:16:14.379315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 739
 
14.3%
12 337
 
6.5%
14 328
 
6.4%
15 319
 
6.2%
16 298
 
5.8%
13 292
 
5.7%
11 255
 
4.9%
17 243
 
4.7%
18 209
 
4.1%
10 208
 
4.0%
Other values (54) 1901
36.9%
ValueCountFrequency (%)
0 13
 
0.3%
1 5
 
0.1%
2 739
14.3%
3 41
 
0.8%
4 33
 
0.6%
5 61
 
1.2%
6 67
 
1.3%
7 98
 
1.9%
8 104
 
2.0%
9 140
 
2.7%
ValueCountFrequency (%)
1000 136
2.6%
81 1
 
< 0.1%
77 1
 
< 0.1%
76 1
 
< 0.1%
70 1
 
< 0.1%
64 1
 
< 0.1%
62 1
 
< 0.1%
61 1
 
< 0.1%
59 1
 
< 0.1%
58 1
 
< 0.1%

온도 최대(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)2.7%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean-1.6798643
Minimum-40
Maximum4.7
Zeros144
Zeros (%)2.8%
Negative3250
Negative (%)63.1%
Memory size45.4 KiB
2024-05-11T09:16:14.920690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-4.7
Q1-2
median-0.7
Q30.3
95-th percentile1.3
Maximum4.7
Range44.7
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation5.4775793
Coefficient of variation (CV)-3.2607274
Kurtosis39.489917
Mean-1.6798643
Median Absolute Deviation (MAD)1.1
Skewness-6.1007923
Sum-8167.5
Variance30.003875
MonotonicityNot monotonic
2024-05-11T09:16:15.501609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4 146
 
2.8%
0.0 144
 
2.8%
0.4 131
 
2.5%
-0.2 129
 
2.5%
-0.1 128
 
2.5%
-0.3 126
 
2.4%
0.9 124
 
2.4%
-0.6 123
 
2.4%
0.2 122
 
2.4%
0.1 114
 
2.2%
Other values (121) 3575
69.4%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-33.3 1
 
< 0.1%
-32.6 1
 
< 0.1%
-32.1 1
 
< 0.1%
-31.3 1
 
< 0.1%
-30.3 1
 
< 0.1%
-15.4 1
 
< 0.1%
-15.3 1
 
< 0.1%
-15.2 1
 
< 0.1%
-14.8 2
 
< 0.1%
ValueCountFrequency (%)
4.7 1
 
< 0.1%
4.6 1
 
< 0.1%
4.2 1
 
< 0.1%
3.6 1
 
< 0.1%
3.4 1
 
< 0.1%
3.0 2
 
< 0.1%
2.9 2
 
< 0.1%
2.8 2
 
< 0.1%
2.7 1
 
< 0.1%
2.5 6
0.1%

온도 평균(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)2.7%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean-1.9118058
Minimum-40
Maximum4.2
Zeros125
Zeros (%)2.4%
Negative3567
Negative (%)69.2%
Memory size45.4 KiB
2024-05-11T09:16:16.059645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-5
Q1-2.2
median-0.9
Q30
95-th percentile1
Maximum4.2
Range44.2
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation5.4462374
Coefficient of variation (CV)-2.8487398
Kurtosis39.468029
Mean-1.9118058
Median Absolute Deviation (MAD)1.1
Skewness-6.1007347
Sum-9295.2
Variance29.661502
MonotonicityNot monotonic
2024-05-11T09:16:16.552264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5 145
 
2.8%
-0.1 141
 
2.7%
-0.3 138
 
2.7%
-0.2 128
 
2.5%
0.0 125
 
2.4%
-0.8 123
 
2.4%
-0.4 122
 
2.4%
-0.9 120
 
2.3%
-0.6 117
 
2.3%
0.2 117
 
2.3%
Other values (123) 3586
69.6%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-33.6 1
 
< 0.1%
-33.0 1
 
< 0.1%
-32.3 1
 
< 0.1%
-31.6 1
 
< 0.1%
-30.6 1
 
< 0.1%
-15.6 1
 
< 0.1%
-15.5 1
 
< 0.1%
-15.4 1
 
< 0.1%
-15.0 2
 
< 0.1%
ValueCountFrequency (%)
4.2 1
 
< 0.1%
3.7 1
 
< 0.1%
3.4 1
 
< 0.1%
2.9 1
 
< 0.1%
2.8 1
 
< 0.1%
2.7 1
 
< 0.1%
2.6 2
< 0.1%
2.5 3
0.1%
2.4 1
 
< 0.1%
2.3 4
0.1%

온도 최소(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct130
Distinct (%)2.7%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean-2.131016
Minimum-40
Maximum3.9
Zeros114
Zeros (%)2.2%
Negative3844
Negative (%)74.6%
Memory size45.4 KiB
2024-05-11T09:16:17.011784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-5.2
Q1-2.5
median-1.15
Q3-0.2
95-th percentile0.8
Maximum3.9
Range43.9
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation5.4183434
Coefficient of variation (CV)-2.5426103
Kurtosis39.397203
Mean-2.131016
Median Absolute Deviation (MAD)1.05
Skewness-6.0951951
Sum-10361
Variance29.358445
MonotonicityNot monotonic
2024-05-11T09:16:17.487106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3 158
 
3.1%
-0.6 140
 
2.7%
-0.8 139
 
2.7%
-0.4 134
 
2.6%
-0.7 131
 
2.5%
-0.9 126
 
2.4%
-1.1 125
 
2.4%
-1.0 122
 
2.4%
-0.2 122
 
2.4%
-1.5 115
 
2.2%
Other values (120) 3550
68.9%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-33.7 1
 
< 0.1%
-33.5 1
 
< 0.1%
-32.6 1
 
< 0.1%
-31.9 1
 
< 0.1%
-30.9 1
 
< 0.1%
-15.8 1
 
< 0.1%
-15.7 1
 
< 0.1%
-15.6 1
 
< 0.1%
-15.3 1
 
< 0.1%
ValueCountFrequency (%)
3.9 1
 
< 0.1%
3.0 1
 
< 0.1%
2.5 1
 
< 0.1%
2.4 3
0.1%
2.2 4
0.1%
2.1 3
0.1%
2.0 4
0.1%
1.9 7
0.1%
1.8 3
0.1%
1.7 3
0.1%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)1.0%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean72.294529
Minimum48
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:18.033231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile61
Q165
median69
Q374
95-th percentile100
Maximum100
Range52
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.124274
Coefficient of variation (CV)0.15387436
Kurtosis1.3611302
Mean72.294529
Median Absolute Deviation (MAD)4
Skewness1.4935169
Sum351496
Variance123.74948
MonotonicityNot monotonic
2024-05-11T09:16:18.491929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 480
 
9.3%
67 325
 
6.3%
69 324
 
6.3%
68 322
 
6.2%
65 312
 
6.1%
66 309
 
6.0%
64 307
 
6.0%
71 257
 
5.0%
70 251
 
4.9%
63 248
 
4.8%
Other values (41) 1727
33.5%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
48 1
 
< 0.1%
50 1
 
< 0.1%
52 2
 
< 0.1%
53 1
 
< 0.1%
54 5
 
0.1%
55 5
 
0.1%
56 11
 
0.2%
57 12
 
0.2%
58 25
0.5%
59 40
0.8%
ValueCountFrequency (%)
100 480
9.3%
99 5
 
0.1%
98 10
 
0.2%
97 6
 
0.1%
96 9
 
0.2%
95 9
 
0.2%
94 11
 
0.2%
93 5
 
0.1%
92 7
 
0.1%
91 11
 
0.2%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)1.1%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean71.354792
Minimum47
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:19.386125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile60
Q164
median68
Q373
95-th percentile100
Maximum100
Range53
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.271527
Coefficient of variation (CV)0.15796454
Kurtosis1.5514039
Mean71.354792
Median Absolute Deviation (MAD)4
Skewness1.5487003
Sum346927
Variance127.04731
MonotonicityNot monotonic
2024-05-11T09:16:19.850740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 457
 
8.9%
66 333
 
6.5%
67 328
 
6.4%
64 326
 
6.3%
65 316
 
6.1%
68 313
 
6.1%
63 308
 
6.0%
69 260
 
5.0%
62 246
 
4.8%
70 245
 
4.8%
Other values (42) 1730
33.6%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
47 1
 
< 0.1%
48 1
 
< 0.1%
49 1
 
< 0.1%
52 4
 
0.1%
53 3
 
0.1%
54 8
 
0.2%
55 9
 
0.2%
56 9
 
0.2%
57 23
0.4%
58 42
0.8%
ValueCountFrequency (%)
100 457
8.9%
99 11
 
0.2%
98 11
 
0.2%
97 9
 
0.2%
96 8
 
0.2%
95 9
 
0.2%
94 4
 
0.1%
93 7
 
0.1%
92 6
 
0.1%
91 8
 
0.2%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)1.1%
Missing292
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean70.400041
Minimum46
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:20.317659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile59
Q163
median67
Q372
95-th percentile100
Maximum100
Range54
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.44297
Coefficient of variation (CV)0.16254209
Kurtosis1.7219955
Mean70.400041
Median Absolute Deviation (MAD)4
Skewness1.5958055
Sum342285
Variance130.94156
MonotonicityNot monotonic
2024-05-11T09:16:20.874908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 443
 
8.6%
65 351
 
6.8%
66 350
 
6.8%
63 329
 
6.4%
62 322
 
6.2%
64 317
 
6.2%
67 275
 
5.3%
68 272
 
5.3%
69 265
 
5.1%
61 227
 
4.4%
Other values (43) 1711
33.2%
(Missing) 292
 
5.7%
ValueCountFrequency (%)
46 2
 
< 0.1%
47 2
 
< 0.1%
50 1
 
< 0.1%
51 3
 
0.1%
52 2
 
< 0.1%
53 8
 
0.2%
54 6
 
0.1%
55 13
 
0.3%
56 22
0.4%
57 46
0.9%
ValueCountFrequency (%)
100 443
8.6%
99 6
 
0.1%
98 12
 
0.2%
97 7
 
0.1%
96 7
 
0.1%
95 11
 
0.2%
94 12
 
0.2%
93 8
 
0.2%
92 3
 
0.1%
91 11
 
0.2%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)9.1%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean0.8865942
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:21.379669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.3
Q30.8
95-th percentile2.125
Maximum11.9
Range11.8
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.0914896
Coefficient of variation (CV)2.3590156
Kurtosis20.286143
Mean0.8865942
Median Absolute Deviation (MAD)0.2
Skewness4.5663842
Sum244.7
Variance4.3743287
MonotonicityNot monotonic
2024-05-11T09:16:21.786460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.1 107
 
2.1%
0.4 27
 
0.5%
0.3 17
 
0.3%
0.2 17
 
0.3%
0.6 13
 
0.3%
0.9 11
 
0.2%
0.8 10
 
0.2%
0.5 10
 
0.2%
0.7 9
 
0.2%
1.0 7
 
0.1%
Other values (15) 48
 
0.9%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 107
2.1%
0.2 17
 
0.3%
0.3 17
 
0.3%
0.4 27
 
0.5%
0.5 10
 
0.2%
0.6 13
 
0.3%
0.7 9
 
0.2%
0.8 10
 
0.2%
0.9 11
 
0.2%
1.0 7
 
0.1%
ValueCountFrequency (%)
11.9 2
< 0.1%
11.3 4
0.1%
11.1 4
0.1%
2.4 1
 
< 0.1%
2.2 3
0.1%
2.1 1
 
< 0.1%
2.0 2
< 0.1%
1.8 2
< 0.1%
1.7 2
< 0.1%
1.6 3
0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)6.5%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean0.67065217
Minimum0.1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:22.384353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.4
95-th percentile1.725
Maximum11
Range10.9
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation2.0299147
Coefficient of variation (CV)3.0267772
Kurtosis21.512117
Mean0.67065217
Median Absolute Deviation (MAD)0
Skewness4.7601196
Sum185.1
Variance4.1205538
MonotonicityNot monotonic
2024-05-11T09:16:22.911104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1 168
 
3.3%
0.2 32
 
0.6%
0.4 9
 
0.2%
0.8 8
 
0.2%
0.5 8
 
0.2%
0.7 8
 
0.2%
0.9 6
 
0.1%
11.0 6
 
0.1%
0.3 6
 
0.1%
0.6 5
 
0.1%
Other values (8) 20
 
0.4%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 168
3.3%
0.2 32
 
0.6%
0.3 6
 
0.1%
0.4 9
 
0.2%
0.5 8
 
0.2%
0.6 5
 
0.1%
0.7 8
 
0.2%
0.8 8
 
0.2%
0.9 6
 
0.1%
1.1 4
 
0.1%
ValueCountFrequency (%)
11.0 6
0.1%
10.9 4
0.1%
2.0 2
 
< 0.1%
1.9 1
 
< 0.1%
1.8 1
 
< 0.1%
1.7 1
 
< 0.1%
1.3 3
0.1%
1.2 4
0.1%
1.1 4
0.1%
0.9 6
0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)5.4%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean0.56702899
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:23.542245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.1
95-th percentile1.3
Maximum10.9
Range10.8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0058369
Coefficient of variation (CV)3.5374504
Kurtosis22.345223
Mean0.56702899
Median Absolute Deviation (MAD)0
Skewness4.8840501
Sum156.5
Variance4.0233817
MonotonicityNot monotonic
2024-05-11T09:16:24.474813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.1 223
 
4.3%
0.3 9
 
0.2%
0.5 8
 
0.2%
10.8 8
 
0.2%
0.4 6
 
0.1%
0.6 6
 
0.1%
0.2 3
 
0.1%
1.3 2
 
< 0.1%
0.7 2
 
< 0.1%
10.9 2
 
< 0.1%
Other values (5) 7
 
0.1%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 223
4.3%
0.2 3
 
0.1%
0.3 9
 
0.2%
0.4 6
 
0.1%
0.5 8
 
0.2%
0.6 6
 
0.1%
0.7 2
 
< 0.1%
0.8 1
 
< 0.1%
0.9 1
 
< 0.1%
1.0 2
 
< 0.1%
ValueCountFrequency (%)
10.9 2
 
< 0.1%
10.8 8
0.2%
1.7 2
 
< 0.1%
1.6 1
 
< 0.1%
1.3 2
 
< 0.1%
1.0 2
 
< 0.1%
0.9 1
 
< 0.1%
0.8 1
 
< 0.1%
0.7 2
 
< 0.1%
0.6 6
0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)84.1%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean241.35725
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:25.308008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q1140.825
median295.45
Q3350.5
95-th percentile359.225
Maximum359.9
Range359.8
Interquartile range (IQR)209.675

Descriptive statistics

Standard deviation120.11944
Coefficient of variation (CV)0.49768318
Kurtosis-1.002511
Mean241.35725
Median Absolute Deviation (MAD)63.2
Skewness-0.66841827
Sum66614.6
Variance14428.681
MonotonicityNot monotonic
2024-05-11T09:16:25.909996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8 5
 
0.1%
0.1 5
 
0.1%
359.3 4
 
0.1%
359.0 4
 
0.1%
358.1 3
 
0.1%
340.3 3
 
0.1%
323.8 3
 
0.1%
1.9 3
 
0.1%
357.7 3
 
0.1%
359.1 3
 
0.1%
Other values (222) 240
 
4.7%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 5
0.1%
1.8 5
0.1%
1.9 3
0.1%
2.0 2
 
< 0.1%
26.3 1
 
< 0.1%
29.5 1
 
< 0.1%
30.1 1
 
< 0.1%
31.4 1
 
< 0.1%
32.6 1
 
< 0.1%
33.3 1
 
< 0.1%
ValueCountFrequency (%)
359.9 2
< 0.1%
359.8 3
0.1%
359.7 2
< 0.1%
359.6 2
< 0.1%
359.5 1
 
< 0.1%
359.3 4
0.1%
359.2 2
< 0.1%
359.1 3
0.1%
359.0 4
0.1%
358.9 1
 
< 0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct178
Distinct (%)64.5%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean164.57101
Minimum0.1
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:26.730021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q158
median147
Q3275.5
95-th percentile335.5
Maximum357
Range356.9
Interquartile range (IQR)217.5

Descriptive statistics

Standard deviation114.23234
Coefficient of variation (CV)0.69412184
Kurtosis-1.4461019
Mean164.57101
Median Absolute Deviation (MAD)105
Skewness0.12941262
Sum45421.6
Variance13049.026
MonotonicityNot monotonic
2024-05-11T09:16:27.353250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 10
 
0.2%
340.0 6
 
0.1%
0.1 6
 
0.1%
30.0 4
 
0.1%
250.0 4
 
0.1%
36.0 4
 
0.1%
58.0 4
 
0.1%
42.0 4
 
0.1%
323.0 4
 
0.1%
310.0 4
 
0.1%
Other values (168) 226
 
4.4%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 6
0.1%
2.0 10
0.2%
3.0 1
 
< 0.1%
10.0 1
 
< 0.1%
15.0 1
 
< 0.1%
16.0 1
 
< 0.1%
17.0 2
 
< 0.1%
20.0 1
 
< 0.1%
21.0 1
 
< 0.1%
22.0 1
 
< 0.1%
ValueCountFrequency (%)
357.0 1
 
< 0.1%
350.0 1
 
< 0.1%
347.0 1
 
< 0.1%
345.0 1
 
< 0.1%
343.0 2
 
< 0.1%
342.0 1
 
< 0.1%
341.0 1
 
< 0.1%
340.0 6
0.1%
334.0 1
 
< 0.1%
333.0 2
 
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)80.4%
Missing4878
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean88.686594
Minimum0.1
Maximum340.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:27.927080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.8
Q16.75
median40.4
Q3158.9
95-th percentile287.8
Maximum340.3
Range340.2
Interquartile range (IQR)152.15

Descriptive statistics

Standard deviation101.32071
Coefficient of variation (CV)1.142458
Kurtosis-0.20508755
Mean88.686594
Median Absolute Deviation (MAD)38.6
Skewness1.0626243
Sum24477.5
Variance10265.886
MonotonicityNot monotonic
2024-05-11T09:16:28.380194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 8
 
0.2%
1.8 7
 
0.1%
340.3 5
 
0.1%
1.6 4
 
0.1%
1.5 4
 
0.1%
1.1 3
 
0.1%
1.0 3
 
0.1%
323.4 3
 
0.1%
19.2 2
 
< 0.1%
180.0 2
 
< 0.1%
Other values (212) 235
 
4.6%
(Missing) 4878
94.6%
ValueCountFrequency (%)
0.1 8
0.2%
0.2 2
 
< 0.1%
0.3 1
 
< 0.1%
0.6 2
 
< 0.1%
0.8 2
 
< 0.1%
0.9 2
 
< 0.1%
1.0 3
 
0.1%
1.1 3
 
0.1%
1.2 2
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
340.3 5
0.1%
323.4 3
0.1%
320.2 1
 
< 0.1%
315.0 1
 
< 0.1%
312.6 1
 
< 0.1%
312.2 1
 
< 0.1%
303.6 1
 
< 0.1%
289.3 1
 
< 0.1%
287.3 1
 
< 0.1%
287.1 1
 
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct132
Distinct (%)3.3%
Missing1107
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean247.25031
Minimum0
Maximum97855
Zeros2732
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:28.819655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile38
Maximum97855
Range97855
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4448.8557
Coefficient of variation (CV)17.993327
Kurtosis395.13591
Mean247.25031
Median Absolute Deviation (MAD)0
Skewness19.803352
Sum1000622
Variance19792317
MonotonicityNot monotonic
2024-05-11T09:16:29.408288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2732
53.0%
1 210
 
4.1%
2 134
 
2.6%
3 119
 
2.3%
6 77
 
1.5%
4 77
 
1.5%
5 61
 
1.2%
7 43
 
0.8%
10 36
 
0.7%
11 30
 
0.6%
Other values (122) 528
 
10.2%
(Missing) 1107
21.5%
ValueCountFrequency (%)
0 2732
53.0%
1 210
 
4.1%
2 134
 
2.6%
3 119
 
2.3%
4 77
 
1.5%
5 61
 
1.2%
6 77
 
1.5%
7 43
 
0.8%
8 28
 
0.5%
9 26
 
0.5%
ValueCountFrequency (%)
97855 1
 
< 0.1%
96217 1
 
< 0.1%
93175 1
 
< 0.1%
89248 1
 
< 0.1%
85998 5
0.1%
82891 1
 
< 0.1%
15692 1
 
< 0.1%
15064 1
 
< 0.1%
14509 1
 
< 0.1%
13693 1
 
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct127
Distinct (%)3.1%
Missing1107
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean149.35187
Minimum0
Maximum65723
Zeros2743
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:29.840645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile38
Maximum65723
Range65723
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2726.8473
Coefficient of variation (CV)18.257872
Kurtosis424.89291
Mean149.35187
Median Absolute Deviation (MAD)0
Skewness20.443394
Sum604427
Variance7435696.1
MonotonicityNot monotonic
2024-05-11T09:16:30.339999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2743
53.2%
1 210
 
4.1%
2 134
 
2.6%
3 118
 
2.3%
6 76
 
1.5%
4 72
 
1.4%
5 61
 
1.2%
7 43
 
0.8%
10 38
 
0.7%
25 29
 
0.6%
Other values (117) 523
 
10.1%
(Missing) 1107
21.5%
ValueCountFrequency (%)
0 2743
53.2%
1 210
 
4.1%
2 134
 
2.6%
3 118
 
2.3%
4 72
 
1.4%
5 61
 
1.2%
6 76
 
1.5%
7 43
 
0.8%
8 27
 
0.5%
9 27
 
0.5%
ValueCountFrequency (%)
65723 1
< 0.1%
64456 1
< 0.1%
57301 1
< 0.1%
57045 1
< 0.1%
56200 1
< 0.1%
55656 1
< 0.1%
50900 1
< 0.1%
50075 1
< 0.1%
45331 1
< 0.1%
39747 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct115
Distinct (%)2.8%
Missing1107
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean53.685446
Minimum0
Maximum39490
Zeros2779
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:30.941035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile35.7
Maximum39490
Range39490
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1079.1676
Coefficient of variation (CV)20.101679
Kurtosis798.8965
Mean53.685446
Median Absolute Deviation (MAD)0
Skewness27.21912
Sum217265
Variance1164602.7
MonotonicityNot monotonic
2024-05-11T09:16:31.482666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2779
53.9%
1 205
 
4.0%
2 131
 
2.5%
3 116
 
2.3%
6 74
 
1.4%
4 71
 
1.4%
5 56
 
1.1%
7 45
 
0.9%
10 37
 
0.7%
25 34
 
0.7%
Other values (105) 499
 
9.7%
(Missing) 1107
 
21.5%
ValueCountFrequency (%)
0 2779
53.9%
1 205
 
4.0%
2 131
 
2.5%
3 116
 
2.3%
4 71
 
1.4%
5 56
 
1.1%
6 74
 
1.4%
7 45
 
0.9%
8 27
 
0.5%
9 27
 
0.5%
ValueCountFrequency (%)
39490 1
 
< 0.1%
26425 4
0.1%
13419 1
 
< 0.1%
7892 1
 
< 0.1%
6438 3
0.1%
436 1
 
< 0.1%
385 1
 
< 0.1%
383 1
 
< 0.1%
381 1
 
< 0.1%
379 1
 
< 0.1%

자외선 최대(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
0.0
4014 
<NA>
1051 
1.4
 
48
1.3
 
41

Length

Max length4
Median length3
Mean length3.2039193
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4014
77.9%
<NA> 1051
 
20.4%
1.4 48
 
0.9%
1.3 41
 
0.8%

Length

2024-05-11T09:16:31.905281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:32.350341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4014
77.9%
na 1051
 
20.4%
1.4 48
 
0.9%
1.3 41
 
0.8%

자외선 평균(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
0.0
4014 
<NA>
1051 
1.3
 
56
1.4
 
33

Length

Max length4
Median length3
Mean length3.2039193
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4014
77.9%
<NA> 1051
 
20.4%
1.3 56
 
1.1%
1.4 33
 
0.6%

Length

2024-05-11T09:16:32.751151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:33.119384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4014
77.9%
na 1051
 
20.4%
1.3 56
 
1.1%
1.4 33
 
0.6%

자외선 최대(UV).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
0.0
4014 
<NA>
1051 
1.3
 
74
1.4
 
15

Length

Max length4
Median length3
Mean length3.2039193
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row<NA>
4th row<NA>
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 4014
77.9%
<NA> 1051
 
20.4%
1.3 74
 
1.4%
1.4 15
 
0.3%

Length

2024-05-11T09:16:33.534803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:33.878293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4014
77.9%
na 1051
 
20.4%
1.3 74
 
1.4%
1.4 15
 
0.3%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.8%
Missing146
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean49.540935
Minimum35
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:34.223904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile40
Q144
median48
Q353
95-th percentile65
Maximum75
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.5391742
Coefficient of variation (CV)0.1521807
Kurtosis0.26662903
Mean49.540935
Median Absolute Deviation (MAD)4
Skewness0.72611504
Sum248101
Variance56.839147
MonotonicityNot monotonic
2024-05-11T09:16:34.696315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
48 510
 
9.9%
44 431
 
8.4%
52 294
 
5.7%
45 284
 
5.5%
47 268
 
5.2%
46 267
 
5.2%
49 243
 
4.7%
50 230
 
4.5%
51 215
 
4.2%
40 195
 
3.8%
Other values (31) 2071
40.2%
ValueCountFrequency (%)
35 76
 
1.5%
36 39
 
0.8%
37 28
 
0.5%
38 36
 
0.7%
39 67
 
1.3%
40 195
3.8%
41 146
 
2.8%
42 145
 
2.8%
43 183
3.6%
44 431
8.4%
ValueCountFrequency (%)
75 3
 
0.1%
74 2
 
< 0.1%
73 5
 
0.1%
72 10
 
0.2%
71 11
 
0.2%
70 23
0.4%
69 23
0.4%
68 44
0.9%
67 46
0.9%
66 55
1.1%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)0.8%
Missing146
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean46.260783
Minimum35
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:35.128048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile37
Q141
median45
Q350
95-th percentile60
Maximum75
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9662288
Coefficient of variation (CV)0.15058606
Kurtosis0.52538408
Mean46.260783
Median Absolute Deviation (MAD)4
Skewness0.89902467
Sum231674
Variance48.528344
MonotonicityNot monotonic
2024-05-11T09:16:35.717693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
44 478
 
9.3%
43 333
 
6.5%
45 327
 
6.3%
40 325
 
6.3%
41 313
 
6.1%
48 294
 
5.7%
46 283
 
5.5%
42 279
 
5.4%
47 251
 
4.9%
38 183
 
3.6%
Other values (29) 1942
37.7%
ValueCountFrequency (%)
35 111
 
2.2%
36 89
 
1.7%
37 124
 
2.4%
38 183
 
3.6%
39 169
 
3.3%
40 325
6.3%
41 313
6.1%
42 279
5.4%
43 333
6.5%
44 478
9.3%
ValueCountFrequency (%)
75 2
 
< 0.1%
73 1
 
< 0.1%
71 2
 
< 0.1%
70 4
 
0.1%
69 4
 
0.1%
68 6
 
0.1%
67 15
0.3%
66 25
0.5%
65 21
0.4%
64 35
0.7%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)0.7%
Missing146
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean44.416733
Minimum35
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:36.134571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile36
Q140
median44
Q348
95-th percentile57.65
Maximum75
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.5405783
Coefficient of variation (CV)0.14725483
Kurtosis0.47463208
Mean44.416733
Median Absolute Deviation (MAD)4
Skewness0.85031306
Sum222439
Variance42.779165
MonotonicityNot monotonic
2024-05-11T09:16:36.591460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
44 526
 
10.2%
40 469
 
9.1%
43 297
 
5.8%
41 278
 
5.4%
39 273
 
5.3%
42 269
 
5.2%
36 264
 
5.1%
35 242
 
4.7%
48 239
 
4.6%
45 235
 
4.6%
Other values (27) 1916
37.2%
ValueCountFrequency (%)
35 242
4.7%
36 264
5.1%
37 188
 
3.6%
38 179
 
3.5%
39 273
5.3%
40 469
9.1%
41 278
5.4%
42 269
5.2%
43 297
5.8%
44 526
10.2%
ValueCountFrequency (%)
75 1
 
< 0.1%
74 1
 
< 0.1%
73 1
 
< 0.1%
68 1
 
< 0.1%
67 4
 
0.1%
66 6
 
0.1%
65 6
 
0.1%
64 14
0.3%
63 22
0.4%
62 29
0.6%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.4%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.031506951
Minimum0
Maximum0.17
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:37.033915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.022096212
Coefficient of variation (CV)0.70131227
Kurtosis4.1663655
Mean0.031506951
Median Absolute Deviation (MAD)0.01
Skewness1.6819335
Sum126.91
Variance0.00048824256
MonotonicityNot monotonic
2024-05-11T09:16:37.829287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.02 1140
22.1%
0.01 874
17.0%
0.03 680
13.2%
0.04 428
 
8.3%
0.05 341
 
6.6%
0.06 217
 
4.2%
0.07 149
 
2.9%
0.08 64
 
1.2%
0.09 52
 
1.0%
0.1 21
 
0.4%
Other values (8) 62
 
1.2%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.01 874
17.0%
0.02 1140
22.1%
0.03 680
13.2%
0.04 428
 
8.3%
0.05 341
 
6.6%
0.06 217
 
4.2%
0.07 149
 
2.9%
0.08 64
 
1.2%
0.09 52
 
1.0%
ValueCountFrequency (%)
0.17 2
 
< 0.1%
0.16 2
 
< 0.1%
0.15 4
 
0.1%
0.14 6
 
0.1%
0.13 12
 
0.2%
0.12 3
 
0.1%
0.11 13
 
0.3%
0.1 21
 
0.4%
0.09 52
1.0%
0.08 64
1.2%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)0.4%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.027966733
Minimum0
Maximum0.16
Zeros30
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:38.186066image/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
Maximum0.16
Range0.16
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.021489411
Coefficient of variation (CV)0.76839189
Kurtosis4.225757
Mean0.027966733
Median Absolute Deviation (MAD)0.01
Skewness1.7510086
Sum112.65
Variance0.00046179477
MonotonicityNot monotonic
2024-05-11T09:16:38.644136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.01 1356
26.3%
0.02 967
18.8%
0.03 571
11.1%
0.04 344
 
6.7%
0.05 324
 
6.3%
0.06 176
 
3.4%
0.07 108
 
2.1%
0.08 57
 
1.1%
0.09 49
 
1.0%
0.0 30
 
0.6%
Other values (6) 46
 
0.9%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 30
 
0.6%
0.01 1356
26.3%
0.02 967
18.8%
0.03 571
11.1%
0.04 344
 
6.7%
0.05 324
 
6.3%
0.06 176
 
3.4%
0.07 108
 
2.1%
0.08 57
 
1.1%
0.09 49
 
1.0%
ValueCountFrequency (%)
0.16 4
 
0.1%
0.14 5
 
0.1%
0.13 10
 
0.2%
0.12 6
 
0.1%
0.11 11
 
0.2%
0.1 10
 
0.2%
0.09 49
 
1.0%
0.08 57
 
1.1%
0.07 108
2.1%
0.06 176
3.4%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)0.4%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.024463754
Minimum0
Maximum0.16
Zeros166
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:39.071152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.020685674
Coefficient of variation (CV)0.8455642
Kurtosis5.1081051
Mean0.024463754
Median Absolute Deviation (MAD)0.01
Skewness1.8941637
Sum98.54
Variance0.00042789712
MonotonicityNot monotonic
2024-05-11T09:16:39.676442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.01 1654
32.1%
0.02 795
15.4%
0.03 477
 
9.3%
0.04 352
 
6.8%
0.05 240
 
4.7%
0.0 166
 
3.2%
0.06 147
 
2.9%
0.07 74
 
1.4%
0.08 53
 
1.0%
0.09 33
 
0.6%
Other values (7) 37
 
0.7%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 166
 
3.2%
0.01 1654
32.1%
0.02 795
15.4%
0.03 477
 
9.3%
0.04 352
 
6.8%
0.05 240
 
4.7%
0.06 147
 
2.9%
0.07 74
 
1.4%
0.08 53
 
1.0%
0.09 33
 
0.6%
ValueCountFrequency (%)
0.16 3
 
0.1%
0.15 1
 
< 0.1%
0.14 5
 
0.1%
0.13 4
 
0.1%
0.12 11
 
0.2%
0.11 3
 
0.1%
0.1 10
 
0.2%
0.09 33
0.6%
0.08 53
1.0%
0.07 74
1.4%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)0.5%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.064031778
Minimum0
Maximum0.23
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:40.167035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.09
95-th percentile0.14
Maximum0.23
Range0.23
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.039080326
Coefficient of variation (CV)0.61032706
Kurtosis-0.08292022
Mean0.064031778
Median Absolute Deviation (MAD)0.02
Skewness0.8278389
Sum257.92
Variance0.0015272719
MonotonicityNot monotonic
2024-05-11T09:16:40.634193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.03 626
12.1%
0.02 560
10.9%
0.04 448
 
8.7%
0.06 361
 
7.0%
0.05 358
 
6.9%
0.07 285
 
5.5%
0.08 262
 
5.1%
0.09 236
 
4.6%
0.11 189
 
3.7%
0.1 157
 
3.0%
Other values (12) 546
10.6%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.01 4
 
0.1%
0.02 560
10.9%
0.03 626
12.1%
0.04 448
8.7%
0.05 358
6.9%
0.06 361
7.0%
0.07 285
5.5%
0.08 262
5.1%
0.09 236
 
4.6%
ValueCountFrequency (%)
0.23 1
 
< 0.1%
0.22 1
 
< 0.1%
0.19 5
 
0.1%
0.18 6
 
0.1%
0.17 28
 
0.5%
0.16 56
1.1%
0.15 75
1.5%
0.14 87
1.7%
0.13 119
2.3%
0.12 139
2.7%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.5%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.059500993
Minimum0
Maximum0.19
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:41.107880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.08
95-th percentile0.14
Maximum0.19
Range0.19
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.039188113
Coefficient of variation (CV)0.65861276
Kurtosis-0.11552366
Mean0.059500993
Median Absolute Deviation (MAD)0.03
Skewness0.84169186
Sum239.67
Variance0.0015357082
MonotonicityNot monotonic
2024-05-11T09:16:41.622760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 802
15.6%
0.03 449
 
8.7%
0.04 442
 
8.6%
0.05 366
 
7.1%
0.06 316
 
6.1%
0.07 263
 
5.1%
0.08 250
 
4.9%
0.09 189
 
3.7%
0.11 186
 
3.6%
0.1 161
 
3.1%
Other values (10) 604
11.7%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.01 130
 
2.5%
0.02 802
15.6%
0.03 449
8.7%
0.04 442
8.6%
0.05 366
7.1%
0.06 316
 
6.1%
0.07 263
 
5.1%
0.08 250
 
4.9%
0.09 189
 
3.7%
ValueCountFrequency (%)
0.19 4
 
0.1%
0.18 7
 
0.1%
0.17 17
 
0.3%
0.16 44
 
0.9%
0.15 77
1.5%
0.14 78
1.5%
0.13 88
1.7%
0.12 134
2.6%
0.11 186
3.6%
0.1 161
3.1%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.5%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean0.055136544
Minimum0
Maximum0.19
Zeros31
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:42.143809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.04
Q30.08
95-th percentile0.13
Maximum0.19
Range0.19
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.038983944
Coefficient of variation (CV)0.70704367
Kurtosis-0.1610402
Mean0.055136544
Median Absolute Deviation (MAD)0.02
Skewness0.82706644
Sum222.09
Variance0.0015197479
MonotonicityNot monotonic
2024-05-11T09:16:42.641595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 687
13.3%
0.03 454
8.8%
0.01 446
 
8.7%
0.04 404
 
7.8%
0.05 336
 
6.5%
0.07 271
 
5.3%
0.06 265
 
5.1%
0.08 229
 
4.4%
0.09 189
 
3.7%
0.1 184
 
3.6%
Other values (10) 563
10.9%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 31
 
0.6%
0.01 446
8.7%
0.02 687
13.3%
0.03 454
8.8%
0.04 404
7.8%
0.05 336
6.5%
0.06 265
 
5.1%
0.07 271
 
5.3%
0.08 229
 
4.4%
0.09 189
 
3.7%
ValueCountFrequency (%)
0.19 1
 
< 0.1%
0.18 3
 
0.1%
0.17 10
 
0.2%
0.16 36
 
0.7%
0.15 63
 
1.2%
0.14 62
 
1.2%
0.13 93
1.8%
0.12 126
2.4%
0.11 138
2.7%
0.1 184
3.6%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)0.6%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean1.0391658
Minimum0
Maximum1.16
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:43.034844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q11.02
median1.05
Q31.07
95-th percentile1.1
Maximum1.16
Range1.16
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.088782004
Coefficient of variation (CV)0.085435837
Kurtosis113.75902
Mean1.0391658
Median Absolute Deviation (MAD)0.02
Skewness-9.9214377
Sum4185.76
Variance0.0078822442
MonotonicityNot monotonic
2024-05-11T09:16:43.425468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1.05 450
 
8.7%
1.06 440
 
8.5%
1.03 436
 
8.5%
1.04 432
 
8.4%
1.07 359
 
7.0%
1.02 341
 
6.6%
1.01 310
 
6.0%
1.08 301
 
5.8%
1.09 215
 
4.2%
1.0 196
 
3.8%
Other values (13) 548
10.6%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.95 10
 
0.2%
0.96 11
 
0.2%
0.97 34
 
0.7%
0.98 64
 
1.2%
0.99 142
 
2.8%
1.0 196
3.8%
1.01 310
6.0%
1.02 341
6.6%
1.03 436
8.5%
ValueCountFrequency (%)
1.16 6
 
0.1%
1.15 4
 
0.1%
1.14 10
 
0.2%
1.13 38
 
0.7%
1.12 45
 
0.9%
1.11 48
 
0.9%
1.1 111
 
2.2%
1.09 215
4.2%
1.08 301
5.8%
1.07 359
7.0%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.6%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean1.0340243
Minimum0
Maximum1.16
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:43.910863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.02
median1.04
Q31.06
95-th percentile1.09
Maximum1.16
Range1.16
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.088428694
Coefficient of variation (CV)0.085518968
Kurtosis113.30757
Mean1.0340243
Median Absolute Deviation (MAD)0.02
Skewness-9.8925815
Sum4165.05
Variance0.0078196339
MonotonicityNot monotonic
2024-05-11T09:16:44.433746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.05 496
9.6%
1.03 462
9.0%
1.06 422
 
8.2%
1.02 416
 
8.1%
1.04 367
 
7.1%
1.07 329
 
6.4%
1.01 282
 
5.5%
1.0 267
 
5.2%
1.08 230
 
4.5%
1.09 177
 
3.4%
Other values (14) 580
11.3%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.94 5
 
0.1%
0.95 7
 
0.1%
0.96 29
 
0.6%
0.97 35
 
0.7%
0.98 112
 
2.2%
0.99 175
3.4%
1.0 267
5.2%
1.01 282
5.5%
1.02 416
8.1%
ValueCountFrequency (%)
1.16 5
 
0.1%
1.15 1
 
< 0.1%
1.14 9
 
0.2%
1.13 23
 
0.4%
1.12 37
 
0.7%
1.11 40
 
0.8%
1.1 77
 
1.5%
1.09 177
3.4%
1.08 230
4.5%
1.07 329
6.4%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.6%
Missing1126
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean1.028503
Minimum0
Maximum1.15
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:44.842592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.035
Q31.06
95-th percentile1.09
Maximum1.15
Range1.15
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.088109681
Coefficient of variation (CV)0.085667891
Kurtosis112.50379
Mean1.028503
Median Absolute Deviation (MAD)0.025
Skewness-9.840051
Sum4142.81
Variance0.0077633159
MonotonicityNot monotonic
2024-05-11T09:16:45.333345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.05 462
9.0%
1.04 454
8.8%
1.02 436
 
8.5%
1.03 415
 
8.1%
1.01 348
 
6.8%
1.06 336
 
6.5%
1.07 303
 
5.9%
1.0 293
 
5.7%
0.99 207
 
4.0%
1.08 197
 
3.8%
Other values (14) 577
11.2%
(Missing) 1126
21.8%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.93 2
 
< 0.1%
0.94 5
 
0.1%
0.95 16
 
0.3%
0.96 34
 
0.7%
0.97 87
 
1.7%
0.98 146
2.8%
0.99 207
4.0%
1.0 293
5.7%
1.01 348
6.8%
ValueCountFrequency (%)
1.15 6
 
0.1%
1.14 5
 
0.1%
1.13 11
 
0.2%
1.12 33
 
0.6%
1.11 46
 
0.9%
1.1 43
 
0.8%
1.09 118
 
2.3%
1.08 197
3.8%
1.07 303
5.9%
1.06 336
6.5%

흑구온도 최대(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

흑구온도 평균(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

흑구온도 최소(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5154
Missing (%)100.0%
Memory size45.4 KiB

이산화질소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)78.5%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.56480696
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:45.852624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.166
Q10.29075
median0.496
Q30.71
95-th percentile1.49525
Maximum2
Range2
Interquartile range (IQR)0.41925

Descriptive statistics

Standard deviation0.40746404
Coefficient of variation (CV)0.72142177
Kurtosis5.07079
Mean0.56480696
Median Absolute Deviation (MAD)0.2065
Skewness2.0473047
Sum178.479
Variance0.16602694
MonotonicityNot monotonic
2024-05-11T09:16:46.431148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.0 10
 
0.2%
0.299 3
 
0.1%
0.184 3
 
0.1%
0.546 3
 
0.1%
0.463 3
 
0.1%
0.456 3
 
0.1%
0.433 2
 
< 0.1%
0.285 2
 
< 0.1%
0.679 2
 
< 0.1%
Other values (238) 270
 
5.2%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.136 1
 
< 0.1%
0.14 1
 
< 0.1%
0.146 1
 
< 0.1%
0.149 2
 
< 0.1%
0.16 1
 
< 0.1%
0.168 1
 
< 0.1%
0.17 1
 
< 0.1%
0.176 1
 
< 0.1%
0.177 1
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
1.502 1
 
< 0.1%
1.493 1
 
< 0.1%
1.491 1
 
< 0.1%
1.403 1
 
< 0.1%
1.083 1
 
< 0.1%
1.065 1
 
< 0.1%
1.015 1
 
< 0.1%
0.993 1
 
< 0.1%
0.99 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct250
Distinct (%)79.1%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.61124051
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:47.059009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.19025
Q10.331
median0.5305
Q30.75475
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.42375

Descriptive statistics

Standard deviation0.42654442
Coefficient of variation (CV)0.69783401
Kurtosis3.8211504
Mean0.61124051
Median Absolute Deviation (MAD)0.209
Skewness1.8463521
Sum193.152
Variance0.18194014
MonotonicityNot monotonic
2024-05-11T09:16:47.579912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 17
 
0.3%
0.0 10
 
0.2%
0.24 3
 
0.1%
0.459 3
 
0.1%
0.456 3
 
0.1%
0.231 2
 
< 0.1%
0.59 2
 
< 0.1%
0.593 2
 
< 0.1%
0.468 2
 
< 0.1%
0.436 2
 
< 0.1%
Other values (240) 270
 
5.2%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.16 1
 
< 0.1%
0.166 1
 
< 0.1%
0.17 1
 
< 0.1%
0.177 1
 
< 0.1%
0.179 1
 
< 0.1%
0.188 1
 
< 0.1%
0.191 1
 
< 0.1%
0.195 1
 
< 0.1%
0.196 1
 
< 0.1%
ValueCountFrequency (%)
2.0 17
0.3%
1.534 1
 
< 0.1%
1.525 1
 
< 0.1%
1.519 1
 
< 0.1%
1.499 1
 
< 0.1%
1.438 1
 
< 0.1%
1.301 1
 
< 0.1%
1.179 1
 
< 0.1%
1.165 1
 
< 0.1%
1.129 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)76.9%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.54443038
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:48.151947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14975
Q10.26975
median0.478
Q30.67
95-th percentile1.48325
Maximum2
Range2
Interquartile range (IQR)0.40025

Descriptive statistics

Standard deviation0.40668362
Coefficient of variation (CV)0.74698921
Kurtosis5.532864
Mean0.54443038
Median Absolute Deviation (MAD)0.2035
Skewness2.1463251
Sum172.04
Variance0.16539157
MonotonicityNot monotonic
2024-05-11T09:16:48.723173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.0 10
 
0.2%
0.75 4
 
0.1%
0.171 3
 
0.1%
0.594 3
 
0.1%
0.544 3
 
0.1%
0.412 3
 
0.1%
0.266 2
 
< 0.1%
0.17 2
 
< 0.1%
0.191 2
 
< 0.1%
Other values (233) 269
 
5.2%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.113 1
 
< 0.1%
0.121 1
 
< 0.1%
0.129 1
 
< 0.1%
0.134 1
 
< 0.1%
0.136 1
 
< 0.1%
0.137 1
 
< 0.1%
0.154 1
 
< 0.1%
0.157 1
 
< 0.1%
0.159 2
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
1.484 1
 
< 0.1%
1.483 1
 
< 0.1%
1.475 1
 
< 0.1%
1.369 1
 
< 0.1%
0.975 1
 
< 0.1%
0.966 2
 
< 0.1%
0.918 1
 
< 0.1%
0.913 1
 
< 0.1%
0.887 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)25.3%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.16645886
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:49.316193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03975
Q10.055
median0.065
Q30.08225
95-th percentile0.73475
Maximum2
Range2
Interquartile range (IQR)0.02725

Descriptive statistics

Standard deviation0.42553393
Coefficient of variation (CV)2.556391
Kurtosis14.819957
Mean0.16645886
Median Absolute Deviation (MAD)0.012
Skewness4.0750565
Sum52.601
Variance0.18107913
MonotonicityNot monotonic
2024-05-11T09:16:50.107767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 16
 
0.3%
0.063 12
 
0.2%
0.059 12
 
0.2%
0.056 11
 
0.2%
0.061 10
 
0.2%
0.055 10
 
0.2%
0.0 10
 
0.2%
0.065 9
 
0.2%
0.07 8
 
0.2%
0.075 8
 
0.2%
Other values (70) 210
 
4.1%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.024 1
 
< 0.1%
0.025 1
 
< 0.1%
0.026 1
 
< 0.1%
0.027 1
 
< 0.1%
0.028 1
 
< 0.1%
0.039 1
 
< 0.1%
0.04 3
 
0.1%
0.041 1
 
< 0.1%
0.042 2
 
< 0.1%
ValueCountFrequency (%)
2.0 16
0.3%
0.313 1
 
< 0.1%
0.3 1
 
< 0.1%
0.285 1
 
< 0.1%
0.283 1
 
< 0.1%
0.266 1
 
< 0.1%
0.118 1
 
< 0.1%
0.114 1
 
< 0.1%
0.113 1
 
< 0.1%
0.112 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)24.1%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.15921835
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:50.564903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0315
Q10.049
median0.058
Q30.075
95-th percentile0.6995
Maximum2
Range2
Interquartile range (IQR)0.026

Descriptive statistics

Standard deviation0.4267835
Coefficient of variation (CV)2.6804918
Kurtosis14.891768
Mean0.15921835
Median Absolute Deviation (MAD)0.012
Skewness4.0877109
Sum50.313
Variance0.18214415
MonotonicityNot monotonic
2024-05-11T09:16:51.132555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 16
 
0.3%
0.052 14
 
0.3%
0.058 11
 
0.2%
0.053 11
 
0.2%
0.0 10
 
0.2%
0.051 10
 
0.2%
0.06 10
 
0.2%
0.04 9
 
0.2%
0.056 9
 
0.2%
0.054 9
 
0.2%
Other values (66) 207
 
4.0%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.024 4
 
0.1%
0.025 1
 
< 0.1%
0.03 1
 
< 0.1%
0.032 1
 
< 0.1%
0.036 2
 
< 0.1%
0.037 3
 
0.1%
0.038 3
 
0.1%
0.039 5
0.1%
0.04 9
0.2%
ValueCountFrequency (%)
2.0 16
0.3%
0.266 1
 
< 0.1%
0.237 1
 
< 0.1%
0.236 1
 
< 0.1%
0.221 1
 
< 0.1%
0.218 1
 
< 0.1%
0.109 1
 
< 0.1%
0.108 1
 
< 0.1%
0.103 1
 
< 0.1%
0.101 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)22.8%
Missing4838
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.15280696
Minimum0
Maximum2
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:51.596761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02475
Q10.042
median0.0525
Q30.067
95-th percentile0.653
Maximum2
Range2
Interquartile range (IQR)0.025

Descriptive statistics

Standard deviation0.42797365
Coefficient of variation (CV)2.8007471
Kurtosis14.941229
Mean0.15280696
Median Absolute Deviation (MAD)0.0125
Skewness4.0965923
Sum48.287
Variance0.18316145
MonotonicityNot monotonic
2024-05-11T09:16:52.080572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.039 17
 
0.3%
2.0 16
 
0.3%
0.046 11
 
0.2%
0.05 10
 
0.2%
0.0 10
 
0.2%
0.054 9
 
0.2%
0.065 9
 
0.2%
0.042 9
 
0.2%
0.051 9
 
0.2%
0.058 8
 
0.2%
Other values (62) 208
 
4.0%
(Missing) 4838
93.9%
ValueCountFrequency (%)
0.0 10
0.2%
0.024 6
0.1%
0.025 2
 
< 0.1%
0.029 1
 
< 0.1%
0.03 3
 
0.1%
0.031 1
 
< 0.1%
0.032 5
0.1%
0.033 3
 
0.1%
0.034 3
 
0.1%
0.035 4
 
0.1%
ValueCountFrequency (%)
2.0 16
0.3%
0.204 1
 
< 0.1%
0.199 2
 
< 0.1%
0.197 1
 
< 0.1%
0.121 1
 
< 0.1%
0.105 1
 
< 0.1%
0.104 1
 
< 0.1%
0.096 1
 
< 0.1%
0.093 2
 
< 0.1%
0.092 1
 
< 0.1%

이산화황 최대(ppm)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4838 
0.004
 
176
2.0
 
101
0.003
 
27
0.0
 
10

Length

Max length5
Median length4
Mean length4.0182383
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4838
93.9%
0.004 176
 
3.4%
2.0 101
 
2.0%
0.003 27
 
0.5%
0.0 10
 
0.2%
0.005 2
 
< 0.1%

Length

2024-05-11T09:16:52.720017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:53.102363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4838
93.9%
0.004 176
 
3.4%
2.0 101
 
2.0%
0.003 27
 
0.5%
0.0 10
 
0.2%
0.005 2
 
< 0.1%

이산화황 평균(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4838 
0.004
 
175
2.0
 
101
0.003
 
30
0.0
 
10

Length

Max length5
Median length4
Mean length4.0182383
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4838
93.9%
0.004 175
 
3.4%
2.0 101
 
2.0%
0.003 30
 
0.6%
0.0 10
 
0.2%

Length

2024-05-11T09:16:53.522644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:54.076401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4838
93.9%
0.004 175
 
3.4%
2.0 101
 
2.0%
0.003 30
 
0.6%
0.0 10
 
0.2%

이산화황 최소(ppm)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4838 
0.004
 
174
2.0
 
101
0.003
 
30
0.0
 
10

Length

Max length5
Median length4
Mean length4.0182383
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> 4838
93.9%
0.004 174
 
3.4%
2.0 101
 
2.0%
0.003 30
 
0.6%
0.0 10
 
0.2%
0.002 1
 
< 0.1%

Length

2024-05-11T09:16:54.584856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:55.019599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4838
93.9%
0.004 174
 
3.4%
2.0 101
 
2.0%
0.003 30
 
0.6%
0.0 10
 
0.2%
0.002 1
 
< 0.1%

암모니아 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.1%
Missing4930
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.0093616071
Minimum0
Maximum0.563
Zeros218
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:55.476959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.563
Range0.563
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06225082
Coefficient of variation (CV)6.6495869
Kurtosis52.058288
Mean0.0093616071
Median Absolute Deviation (MAD)0
Skewness7.1456356
Sum2.097
Variance0.0038751646
MonotonicityNot monotonic
2024-05-11T09:16:55.902711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 218
 
4.2%
0.179 1
 
< 0.1%
0.443 1
 
< 0.1%
0.386 1
 
< 0.1%
0.423 1
 
< 0.1%
0.563 1
 
< 0.1%
0.103 1
 
< 0.1%
(Missing) 4930
95.7%
ValueCountFrequency (%)
0.0 218
4.2%
0.103 1
 
< 0.1%
0.179 1
 
< 0.1%
0.386 1
 
< 0.1%
0.423 1
 
< 0.1%
0.443 1
 
< 0.1%
0.563 1
 
< 0.1%
ValueCountFrequency (%)
0.563 1
 
< 0.1%
0.443 1
 
< 0.1%
0.423 1
 
< 0.1%
0.386 1
 
< 0.1%
0.179 1
 
< 0.1%
0.103 1
 
< 0.1%
0.0 218
4.2%

암모니아 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.1%
Missing4930
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.0018035714
Minimum0
Maximum0.105
Zeros218
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:56.450458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.105
Range0.105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.012590365
Coefficient of variation (CV)6.9807966
Kurtosis54.937531
Mean0.0018035714
Median Absolute Deviation (MAD)0
Skewness7.4004322
Sum0.404
Variance0.0001585173
MonotonicityNot monotonic
2024-05-11T09:16:57.403459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 218
 
4.2%
0.028 1
 
< 0.1%
0.102 1
 
< 0.1%
0.098 1
 
< 0.1%
0.105 1
 
< 0.1%
0.065 1
 
< 0.1%
0.006 1
 
< 0.1%
(Missing) 4930
95.7%
ValueCountFrequency (%)
0.0 218
4.2%
0.006 1
 
< 0.1%
0.028 1
 
< 0.1%
0.065 1
 
< 0.1%
0.098 1
 
< 0.1%
0.102 1
 
< 0.1%
0.105 1
 
< 0.1%
ValueCountFrequency (%)
0.105 1
 
< 0.1%
0.102 1
 
< 0.1%
0.098 1
 
< 0.1%
0.065 1
 
< 0.1%
0.028 1
 
< 0.1%
0.006 1
 
< 0.1%
0.0 218
4.2%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
<NA>
4930 
0
 
224

Length

Max length4
Median length4
Mean length3.8696158
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> 4930
95.7%
0 224
 
4.3%

Length

2024-05-11T09:16:58.064568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:16:58.676040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4930
95.7%
0 224
 
4.3%

황화수소 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.5%
Missing4930
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00052678571
Minimum0
Maximum0.013
Zeros201
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:16:59.127451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.004
Maximum0.013
Range0.013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002028761
Coefficient of variation (CV)3.8512073
Kurtosis23.782269
Mean0.00052678571
Median Absolute Deviation (MAD)0
Skewness4.7612976
Sum0.118
Variance4.1158712 × 10-6
MonotonicityNot monotonic
2024-05-11T09:17:00.034340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 201
 
3.9%
0.002 4
 
0.1%
0.001 4
 
0.1%
0.005 3
 
0.1%
0.004 3
 
0.1%
0.012 2
 
< 0.1%
0.006 2
 
< 0.1%
0.013 2
 
< 0.1%
0.003 2
 
< 0.1%
0.011 1
 
< 0.1%
(Missing) 4930
95.7%
ValueCountFrequency (%)
0.0 201
3.9%
0.001 4
 
0.1%
0.002 4
 
0.1%
0.003 2
 
< 0.1%
0.004 3
 
0.1%
0.005 3
 
0.1%
0.006 2
 
< 0.1%
0.011 1
 
< 0.1%
0.012 2
 
< 0.1%
0.013 2
 
< 0.1%
ValueCountFrequency (%)
0.013 2
 
< 0.1%
0.012 2
 
< 0.1%
0.011 1
 
< 0.1%
0.006 2
 
< 0.1%
0.005 3
 
0.1%
0.004 3
 
0.1%
0.003 2
 
< 0.1%
0.002 4
 
0.1%
0.001 4
 
0.1%
0.0 201
3.9%

황화수소 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)4.0%
Missing4930
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00041517857
Minimum0
Maximum0.012
Zeros206
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:17:00.527586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.012
Range0.012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0017923459
Coefficient of variation (CV)4.3170483
Kurtosis27.566387
Mean0.00041517857
Median Absolute Deviation (MAD)0
Skewness5.1586772
Sum0.093
Variance3.212504 × 10-6
MonotonicityNot monotonic
2024-05-11T09:17:01.159262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 206
 
4.0%
0.005 4
 
0.1%
0.002 4
 
0.1%
0.001 3
 
0.1%
0.011 2
 
< 0.1%
0.012 2
 
< 0.1%
0.009 1
 
< 0.1%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
(Missing) 4930
95.7%
ValueCountFrequency (%)
0.0 206
4.0%
0.001 3
 
0.1%
0.002 4
 
0.1%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
0.005 4
 
0.1%
0.009 1
 
< 0.1%
0.011 2
 
< 0.1%
0.012 2
 
< 0.1%
ValueCountFrequency (%)
0.012 2
 
< 0.1%
0.011 2
 
< 0.1%
0.009 1
 
< 0.1%
0.005 4
 
0.1%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.002 4
 
0.1%
0.001 3
 
0.1%
0.0 206
4.0%

황화수소 최소(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.1%
Missing4930
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.0003125
Minimum0
Maximum0.011
Zeros212
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:17:01.490327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.00085
Maximum0.011
Range0.011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0015734983
Coefficient of variation (CV)5.0351945
Kurtosis32.926692
Mean0.0003125
Median Absolute Deviation (MAD)0
Skewness5.6881358
Sum0.07
Variance2.4758969 × 10-6
MonotonicityNot monotonic
2024-05-11T09:17:01.824392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 212
 
4.1%
0.004 3
 
0.1%
0.01 2
 
< 0.1%
0.001 2
 
< 0.1%
0.003 2
 
< 0.1%
0.011 2
 
< 0.1%
0.008 1
 
< 0.1%
(Missing) 4930
95.7%
ValueCountFrequency (%)
0.0 212
4.1%
0.001 2
 
< 0.1%
0.003 2
 
< 0.1%
0.004 3
 
0.1%
0.008 1
 
< 0.1%
0.01 2
 
< 0.1%
0.011 2
 
< 0.1%
ValueCountFrequency (%)
0.011 2
 
< 0.1%
0.01 2
 
< 0.1%
0.008 1
 
< 0.1%
0.004 3
 
0.1%
0.003 2
 
< 0.1%
0.001 2
 
< 0.1%
0.0 212
4.1%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)44.4%
Missing5030
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.32554839
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:17:02.257964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.038
median0.049
Q30.284
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.246

Descriptive statistics

Standard deviation0.63357402
Coefficient of variation (CV)1.9461747
Kurtosis3.2044554
Mean0.32554839
Median Absolute Deviation (MAD)0.013
Skewness2.2201214
Sum40.368
Variance0.40141604
MonotonicityNot monotonic
2024-05-11T09:17:02.810080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.038 6
 
0.1%
0.036 5
 
0.1%
0.039 5
 
0.1%
0.06 5
 
0.1%
0.0 5
 
0.1%
0.044 4
 
0.1%
0.051 4
 
0.1%
0.045 4
 
0.1%
0.05 4
 
0.1%
Other values (45) 67
 
1.3%
(Missing) 5030
97.6%
ValueCountFrequency (%)
0.0 5
0.1%
0.002 3
0.1%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
0.024 1
 
< 0.1%
0.027 2
 
< 0.1%
0.031 3
0.1%
0.032 2
 
< 0.1%
0.033 1
 
< 0.1%
0.034 2
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.397 2
 
< 0.1%
0.385 1
 
< 0.1%
0.376 1
 
< 0.1%
0.371 1
 
< 0.1%
0.37 1
 
< 0.1%
0.367 1
 
< 0.1%
0.366 1
 
< 0.1%
0.364 1
 
< 0.1%
0.356 1
 
< 0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)41.9%
Missing5030
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.32264516
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:17:03.283081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.03575
median0.046
Q30.27875
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.243

Descriptive statistics

Standard deviation0.63442396
Coefficient of variation (CV)1.966321
Kurtosis3.2139141
Mean0.32264516
Median Absolute Deviation (MAD)0.013
Skewness2.2232793
Sum40.008
Variance0.40249376
MonotonicityNot monotonic
2024-05-11T09:17:03.865154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.05 6
 
0.1%
0.039 6
 
0.1%
0.002 5
 
0.1%
0.0 5
 
0.1%
0.035 5
 
0.1%
0.037 4
 
0.1%
0.042 4
 
0.1%
0.038 4
 
0.1%
0.047 3
 
0.1%
Other values (42) 67
 
1.3%
(Missing) 5030
97.6%
ValueCountFrequency (%)
0.0 5
0.1%
0.002 5
0.1%
0.023 1
 
< 0.1%
0.025 2
 
< 0.1%
0.029 3
0.1%
0.03 3
0.1%
0.031 1
 
< 0.1%
0.032 3
0.1%
0.033 2
 
< 0.1%
0.034 1
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.386 1
 
< 0.1%
0.381 2
 
< 0.1%
0.372 1
 
< 0.1%
0.364 2
 
< 0.1%
0.361 2
 
< 0.1%
0.359 1
 
< 0.1%
0.355 1
 
< 0.1%
0.345 1
 
< 0.1%
0.337 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)46.0%
Missing5030
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.32010484
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.4 KiB
2024-05-11T09:17:04.450426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.034
median0.043
Q30.274
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.63513276
Coefficient of variation (CV)1.9841398
Kurtosis3.2235423
Mean0.32010484
Median Absolute Deviation (MAD)0.012
Skewness2.2264513
Sum39.693
Variance0.40339362
MonotonicityNot monotonic
2024-05-11T09:17:05.012828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.041 6
 
0.1%
0.037 6
 
0.1%
0.035 5
 
0.1%
0.001 5
 
0.1%
0.036 5
 
0.1%
0.0 5
 
0.1%
0.031 4
 
0.1%
0.027 4
 
0.1%
0.048 4
 
0.1%
Other values (47) 65
 
1.3%
(Missing) 5030
97.6%
ValueCountFrequency (%)
0.0 5
0.1%
0.001 5
0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 1
 
< 0.1%
0.027 4
0.1%
0.028 2
 
< 0.1%
0.029 2
 
< 0.1%
0.03 2
 
< 0.1%
0.031 4
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.375 1
 
< 0.1%
0.371 1
 
< 0.1%
0.368 1
 
< 0.1%
0.363 1
 
< 0.1%
0.359 1
 
< 0.1%
0.358 1
 
< 0.1%
0.357 1
 
< 0.1%
0.356 1
 
< 0.1%
0.355 1
 
< 0.1%

등록일시
Date

Distinct298
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
Minimum2024-01-29 00:07:20
Maximum2024-01-29 06:07:23
2024-05-11T09:17:05.480166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:17:05.989994image/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
0SDOT001V02Q19403072024-01-29_12:07:00residential_areaJungnang-guMyeonmok3.8-dong1716151817160.50.40.2626160<NA><NA><NA><NA><NA><NA>0000.00.00.04743410.050.040.030.030.030.030.990.980.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:20
1SDOT001V02Q19402542024-01-29_12:07:00residential_areaJungnang-guSinnae2-dong161514171615-0.8-1.5-2.0696865<NA><NA><NA><NA><NA><NA>0000.00.00.04443420.030.020.020.110.10.11.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:20
2SDOT001OC3DL2200222024-01-29_12:07:00residential_areaGwangjin-guJunggok2-dong1211111817160.0-0.1-0.2605958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>706663<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>2024-01-29 00:07:21
3SDOT001V02Q23000052024-01-29_12:07:00main_streetEunpyeong-guJingwan-dong151414222120-4.0-4.3-4.5757473<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
4SDOT001V02Q19401722024-01-29_12:07:00roads_and_parksJungnang-guMyeonmok4-dong272422292624-0.9-1.1-1.3686766<NA><NA><NA><NA><NA><NA>2220.00.00.04338360.060.060.050.150.150.141.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
5SDOT001V02Q19402312024-01-29_12:07:00commercial_areaJungnang-guSangbong2-dong2617152818161.31.10.9616059<NA><NA><NA><NA><NA><NA>0000.00.00.05246420.050.040.040.050.050.041.01.00.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
6SDOT001OC3CL2001692024-01-29_12:07:00roads_and_parksJungnang-guSinnae1-dong99810109-3.7-4.2-4.8100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6762570.010.010.00.020.020.021.061.051.05<NA><NA><NA>0.7660.7970.7492.02.02.00.0040.0040.004<NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
7SDOT001V02Q19409442024-01-29_12:07:00traditional_marketsJungnang-guMuk2-dong28317232311189351.71.61.4585757<NA><NA><NA><NA><NA><NA>0000.00.00.04441400.010.010.010.150.150.141.021.011.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
8SDOT001V02Q19403112024-01-29_12:07:00residential_areaJungnang-guJunghwa1-dong3329253731270.80.70.2636261<NA><NA><NA><NA><NA><NA>0000.00.00.04846450.020.020.020.030.020.021.031.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 00:07:21
9SDOT001V02Q19408822024-01-29_12:07:00residential_areaJungnang-guMyeonmokbon-dong0001000100010000.0-0.6-0.8666462<NA><NA><NA><NA><NA><NA>0000.00.00.0<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><NA><NA><NA>2024-01-29 00:07:21
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
5144SDOT001OC3CL2001692024-01-29_06:07:00roads_and_parksJungnang-guSinnae1-dong121211131312-6.6-7.0-7.4100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7064580.010.010.00.030.030.021.071.061.05<NA><NA><NA>0.8030.8650.7442.02.02.00.0040.0040.004<NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5145SDOT001OC3CL2002022024-01-29_06:07:00industrial_areaJungnang-guJunghwa2-dong222119242220-3.3-3.5-3.6959391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>545350<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>2024-01-29 06:07:22
5146SDOT001V02Q23000042024-01-29_06:07:00main_streetEunpyeong-guBulgwang2-dong161615242322-6.5-6.7-6.8777675<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5147SDOT001V02Q19402332024-01-29_06:07:00residential_areaJungnang-guMuk1-dong121211131312-3.9-4.2-4.5757473<NA><NA><NA><NA><NA><NA>2928280.00.00.04441390.010.010.010.090.080.081.071.061.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5148SDOT001V02Q19408822024-01-29_06:07:00residential_areaJungnang-guMyeonmokbon-dong000100010001000-2.8-2.9-3.1747372<NA><NA><NA><NA><NA><NA>0000.00.00.0<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><NA><NA><NA>2024-01-29 06:07:22
5149SDOT001V02Q23000062024-01-29_06:07:00main_streetEunpyeong-guJingwan-dong161514232221-6.4-6.7-6.8838280<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5150SDOT001OC3CL2002032024-01-29_06:07:00roads_and_parksJungnang-guMangubon-dong222019242220-5.7-5.9-6.1100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>666154<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>2024-01-29 06:07:22
5151SDOT001V02Q19402352024-01-29_06:07:00residential_areaJungnang-guMuk2-dong221714231815-1.6-2.0-2.2676665<NA><NA><NA><NA><NA><NA>0000.00.00.05252510.040.030.030.080.070.071.021.011.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5152SDOT001V02Q23000052024-01-29_06:07:00main_streetEunpyeong-guJingwan-dong161514232221-5.8-5.9-5.9808079<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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:22
5153SDOT001OC3CL2103002024-01-29_06:07:00residential_areaJungnang-guSeongnae1-dong111110171615-5.6-5.9-6.11009997<NA><NA><NA><NA><NA><NA>1817170.00.00.07067630.020.010.010.090.080.081.041.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-29 06:07:23