Overview

Dataset statistics

Number of variables64
Number of observations5284
Missing cells127839
Missing cells (%)37.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory569.0 B

Variable types

Categorical12
Text2
Numeric46
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 (57.0%)Imbalance
이산화황 평균(ppm) is highly imbalanced (84.3%)Imbalance
이산화황 최소(ppm) is highly imbalanced (82.5%)Imbalance
암모니아 최대(ppm) is highly imbalanced (75.5%)Imbalance
암모니아 평균(ppm) is highly imbalanced (75.5%)Imbalance
암모니아 최소(ppm) is highly imbalanced (75.5%)Imbalance
온도 최대(℃) has 296 (5.6%) missing valuesMissing
온도 평균(℃) has 296 (5.6%) missing valuesMissing
온도 최소(℃) has 296 (5.6%) missing valuesMissing
습도 최대(%) has 296 (5.6%) missing valuesMissing
습도 평균(%) has 296 (5.6%) missing valuesMissing
습도 최소(%) has 296 (5.6%) missing valuesMissing
풍속 최대(m/s) has 5008 (94.8%) missing valuesMissing
풍속 평균(m/s) has 5008 (94.8%) missing valuesMissing
풍속 최소(m/s) has 5008 (94.8%) missing valuesMissing
풍향 최대(m/s) has 5008 (94.8%) missing valuesMissing
풍향 평균(m/s) has 5008 (94.8%) missing valuesMissing
풍향 최소(m/s) has 5008 (94.8%) missing valuesMissing
조도 최대(lux) has 1142 (21.6%) missing valuesMissing
조도 평균(lux) has 1142 (21.6%) missing valuesMissing
조도 최소(lux) has 1142 (21.6%) missing valuesMissing
소음 최대(dB) has 161 (3.0%) missing valuesMissing
소음 평균(dB) has 161 (3.0%) missing valuesMissing
소음 최소(dB) has 161 (3.0%) missing valuesMissing
진동(x) 최대(mm/s) has 1171 (22.2%) missing valuesMissing
진동(x) 평균(mm/s) has 1171 (22.2%) missing valuesMissing
진동(x) 최소(mm/s) has 1171 (22.2%) missing valuesMissing
진동(y) 최대(mm/s) has 1171 (22.2%) missing valuesMissing
진동(y) 평균(mm/s) has 1171 (22.2%) missing valuesMissing
진동(y) 최소(mm/s) has 1171 (22.2%) missing valuesMissing
진동(z) 최대(mm/s) has 1171 (22.2%) missing valuesMissing
진동(z) 평균(mm/s) has 1171 (22.2%) missing valuesMissing
진동(z) 최소(mm/s) has 1171 (22.2%) missing valuesMissing
흑구온도 최대(℃) has 5284 (100.0%) missing valuesMissing
흑구온도 평균(℃) has 5284 (100.0%) missing valuesMissing
흑구온도 최소(℃) has 5284 (100.0%) missing valuesMissing
이산화질소 최대(ppm) has 4977 (94.2%) missing valuesMissing
이산화질소 평균(ppm) has 4977 (94.2%) missing valuesMissing
이산화질소 최소(ppm) has 4977 (94.2%) missing valuesMissing
일산화탄소 최대(ppm) has 4977 (94.2%) missing valuesMissing
일산화탄소 평균(ppm) has 4977 (94.2%) missing valuesMissing
일산화탄소 최소(ppm) has 4977 (94.2%) missing valuesMissing
이산화황 최대(ppm) has 4977 (94.2%) missing valuesMissing
황화수소 최대(ppm) has 5069 (95.9%) missing valuesMissing
황화수소 평균(ppm) has 5069 (95.9%) missing valuesMissing
황화수소 최소(ppm) has 5069 (95.9%) missing valuesMissing
오존 최대(ppm) has 5167 (97.8%) missing valuesMissing
오존 평균(ppm) has 5167 (97.8%) missing valuesMissing
오존 최소(ppm) has 5167 (97.8%) missing valuesMissing
초미세먼지 최대(㎍/㎥) is highly skewed (γ1 = 21.06524857)Skewed
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 31.35045787)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 34.99225911)Skewed
조도 최대(lux) is highly skewed (γ1 = 24.99060985)Skewed
조도 평균(lux) is highly skewed (γ1 = 25.86478757)Skewed
조도 최소(lux) is highly skewed (γ1 = 29.4567189)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 175 (3.3%) zerosZeros
초미세먼지 평균(㎍/㎥) has 179 (3.4%) zerosZeros
초미세먼지 최소(㎍/㎥) has 180 (3.4%) zerosZeros
조도 최대(lux) has 2775 (52.5%) zerosZeros
조도 평균(lux) has 2785 (52.7%) zerosZeros
조도 최소(lux) has 2838 (53.7%) zerosZeros
진동(x) 최소(mm/s) has 169 (3.2%) zerosZeros
황화수소 최대(ppm) has 187 (3.5%) zerosZeros
황화수소 평균(ppm) has 194 (3.7%) zerosZeros
황화수소 최소(ppm) has 204 (3.9%) zerosZeros

Reproduction

Analysis started2024-05-11 09:14:46.281748
Analysis finished2024-05-11 09:14:48.200112
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모델번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
SDOT001
5284 

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 5284
100.0%

Length

2024-05-11T09:14:48.402956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:48.703084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 5284
100.0%

시리얼
Text

Distinct1024
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2024-05-11T09:14:49.333255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters58124
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowV02Q1940254
2nd rowV02Q2300004
3rd rowV02Q1940235
4th rowV02Q1940311
5th rowOC3CL200202
ValueCountFrequency (%)
v02q1940677 7
 
0.1%
v02q1940637 7
 
0.1%
oc3cl200134 7
 
0.1%
oc3cl200100 7
 
0.1%
v02q1940763 7
 
0.1%
v02q1940651 7
 
0.1%
v02q1940830 7
 
0.1%
v02q1940668 7
 
0.1%
v02q1940559 7
 
0.1%
v02q1940856 7
 
0.1%
Other values (1014) 5214
98.7%
2024-05-11T09:14:50.447617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12371
21.3%
2 7113
12.2%
1 6104
10.5%
4 5529
9.5%
9 4960
8.5%
V 3949
 
6.8%
Q 3949
 
6.8%
3 2868
 
4.9%
C 2628
 
4.5%
5 1555
 
2.7%
Other values (6) 7098
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44886
77.2%
Uppercase Letter 13238
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12371
27.6%
2 7113
15.8%
1 6104
13.6%
4 5529
12.3%
9 4960
11.1%
3 2868
 
6.4%
5 1555
 
3.5%
7 1499
 
3.3%
6 1485
 
3.3%
8 1402
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 3949
29.8%
Q 3949
29.8%
C 2628
19.9%
O 1335
 
10.1%
L 1335
 
10.1%
D 42
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 44886
77.2%
Latin 13238
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12371
27.6%
2 7113
15.8%
1 6104
13.6%
4 5529
12.3%
9 4960
11.1%
3 2868
 
6.4%
5 1555
 
3.5%
7 1499
 
3.3%
6 1485
 
3.3%
8 1402
 
3.1%
Latin
ValueCountFrequency (%)
V 3949
29.8%
Q 3949
29.8%
C 2628
19.9%
O 1335
 
10.1%
L 1335
 
10.1%
D 42
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12371
21.3%
2 7113
12.2%
1 6104
10.5%
4 5529
9.5%
9 4960
8.5%
V 3949
 
6.8%
Q 3949
 
6.8%
3 2868
 
4.9%
C 2628
 
4.5%
5 1555
 
2.7%
Other values (6) 7098
12.2%

측정시간
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2024-01-15_01:07:00
1023 
2024-01-15_04:07:00
1020 
2024-01-15_05:07:00
1019 
2024-01-15_03:07:00
1018 
2024-01-15_12:07:00
867 
Other values (2)
337 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-15_12:07:00
2nd row2024-01-15_12:07:00
3rd row2024-01-15_12:07:00
4th row2024-01-15_12:07:00
5th row2024-01-15_12:07:00

Common Values

ValueCountFrequency (%)
2024-01-15_01:07:00 1023
19.4%
2024-01-15_04:07:00 1020
19.3%
2024-01-15_05:07:00 1019
19.3%
2024-01-15_03:07:00 1018
19.3%
2024-01-15_12:07:00 867
16.4%
2024-01-15_06:07:00 176
 
3.3%
2024-01-15_02:07:00 161
 
3.0%

Length

2024-05-11T09:14:51.043857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:51.524316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-15_01:07:00 1023
19.4%
2024-01-15_04:07:00 1020
19.3%
2024-01-15_05:07:00 1019
19.3%
2024-01-15_03:07:00 1018
19.3%
2024-01-15_12:07:00 867
16.4%
2024-01-15_06:07:00 176
 
3.3%
2024-01-15_02:07:00 161
 
3.0%

지역
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
residential_area
3686 
roads_and_parks
673 
traditional_markets
 
246
main_street
 
226
industrial_area
 
208
Other values (3)
 
245

Length

Max length19
Median length16
Mean length15.643452
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
residential_area 3686
69.8%
roads_and_parks 673
 
12.7%
traditional_markets 246
 
4.7%
main_street 226
 
4.3%
industrial_area 208
 
3.9%
commercial_area 176
 
3.3%
parks 42
 
0.8%
public_facilities 27
 
0.5%

Length

2024-05-11T09:14:52.004212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:52.424302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 3686
69.8%
roads_and_parks 673
 
12.7%
traditional_markets 246
 
4.7%
main_street 226
 
4.3%
industrial_area 208
 
3.9%
commercial_area 176
 
3.3%
parks 42
 
0.8%
public_facilities 27
 
0.5%

자치구
Categorical

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
Yangcheon-gu
405 
Gangdong-gu
383 
Mapo-gu
379 
Gwanak-gu
357 
Seongdong-gu
 
289
Other values (21)
3471 

Length

Max length16
Median length13
Mean length10.116957
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Yangcheon-gu 405
 
7.7%
Gangdong-gu 383
 
7.2%
Mapo-gu 379
 
7.2%
Gwanak-gu 357
 
6.8%
Seongdong-gu 289
 
5.5%
Jongno-gu 262
 
5.0%
Gangnam-gu 235
 
4.4%
Jung-gu 230
 
4.4%
Gangseo-gu 216
 
4.1%
Seocho-gu 214
 
4.0%
Other values (16) 2314
43.8%

Length

2024-05-11T09:14:53.015278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 405
 
7.7%
gangdong-gu 383
 
7.2%
mapo-gu 379
 
7.2%
gwanak-gu 357
 
6.8%
seongdong-gu 289
 
5.5%
jongno-gu 262
 
5.0%
gangnam-gu 235
 
4.4%
jung-gu 230
 
4.4%
gangseo-gu 216
 
4.1%
seocho-gu 214
 
4.0%
Other values (16) 2314
43.8%

행정동
Text

Distinct402
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2024-05-11T09:14:53.805485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.489023
Min length7

Characters and Unicode

Total characters65992
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 rowSinnae2-dong
2nd rowBulgwang2-dong
3rd rowMuk2-dong
4th rowJunghwa1-dong
5th rowJunghwa2-dong
ValueCountFrequency (%)
cheonho2-dong 62
 
1.2%
amsa1-dong 56
 
1.1%
mangwon-dong1 50
 
0.9%
mok5-dong 45
 
0.9%
sinllim-dong 43
 
0.8%
seongsan-dong2 43
 
0.8%
sinjeong3-dong 42
 
0.8%
ihwa-dong 41
 
0.8%
cheongnyong-dong 41
 
0.8%
yeomchang-dong 38
 
0.7%
Other values (392) 4823
91.3%
2024-05-11T09:14:55.128244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 10868
16.5%
o 9304
14.1%
g 9143
13.9%
- 5628
 
8.5%
d 5594
 
8.5%
a 3694
 
5.6%
e 2713
 
4.1%
S 1497
 
2.3%
i 1318
 
2.0%
h 1317
 
2.0%
Other values (42) 14916
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 51324
77.8%
Dash Punctuation 5628
 
8.5%
Uppercase Letter 5300
 
8.0%
Decimal Number 3567
 
5.4%
Other Punctuation 165
 
0.3%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 10868
21.2%
o 9304
18.1%
g 9143
17.8%
d 5594
10.9%
a 3694
 
7.2%
e 2713
 
5.3%
i 1318
 
2.6%
h 1317
 
2.6%
u 1233
 
2.4%
m 824
 
1.6%
Other values (12) 5316
10.4%
Uppercase Letter
ValueCountFrequency (%)
S 1497
28.2%
M 490
 
9.2%
G 484
 
9.1%
B 424
 
8.0%
J 413
 
7.8%
H 361
 
6.8%
D 343
 
6.5%
C 340
 
6.4%
Y 304
 
5.7%
I 207
 
3.9%
Other values (7) 437
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 1242
34.8%
2 1126
31.6%
3 551
15.4%
4 319
 
8.9%
5 123
 
3.4%
7 90
 
2.5%
6 80
 
2.2%
8 26
 
0.7%
9 5
 
0.1%
0 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5628
100.0%
Other Punctuation
ValueCountFrequency (%)
. 165
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 56624
85.8%
Common 9368
 
14.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 10868
19.2%
o 9304
16.4%
g 9143
16.1%
d 5594
9.9%
a 3694
 
6.5%
e 2713
 
4.8%
S 1497
 
2.6%
i 1318
 
2.3%
h 1317
 
2.3%
u 1233
 
2.2%
Other values (29) 9943
17.6%
Common
ValueCountFrequency (%)
- 5628
60.1%
1 1242
 
13.3%
2 1126
 
12.0%
3 551
 
5.9%
4 319
 
3.4%
. 165
 
1.8%
5 123
 
1.3%
7 90
 
1.0%
6 80
 
0.9%
8 26
 
0.3%
Other values (3) 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 10868
16.5%
o 9304
14.1%
g 9143
13.9%
- 5628
 
8.5%
d 5594
 
8.5%
a 3694
 
5.6%
e 2713
 
4.1%
S 1497
 
2.3%
i 1318
 
2.0%
h 1317
 
2.0%
Other values (42) 14916
22.6%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct87
Distinct (%)1.7%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean9.809551
Minimum0
Maximum1000
Zeros175
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:14:55.659280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile22
Maximum1000
Range1000
Interquartile range (IQR)7

Descriptive statistics

Standard deviation37.614658
Coefficient of variation (CV)3.8344933
Kurtosis509.03235
Mean9.809551
Median Absolute Deviation (MAD)4
Skewness21.065249
Sum51559
Variance1414.8625
MonotonicityNot monotonic
2024-05-11T09:14:56.124197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 960
18.2%
5 520
9.8%
4 436
 
8.3%
6 403
 
7.6%
7 361
 
6.8%
8 318
 
6.0%
3 315
 
6.0%
9 267
 
5.1%
10 217
 
4.1%
11 183
 
3.5%
Other values (77) 1276
24.1%
ValueCountFrequency (%)
0 175
 
3.3%
1 109
 
2.1%
2 960
18.2%
3 315
 
6.0%
4 436
8.3%
5 520
9.8%
6 403
7.6%
7 361
 
6.8%
8 318
 
6.0%
9 267
 
5.1%
ValueCountFrequency (%)
1000 5
0.1%
721 1
 
< 0.1%
670 1
 
< 0.1%
422 1
 
< 0.1%
419 1
 
< 0.1%
406 1
 
< 0.1%
353 1
 
< 0.1%
308 1
 
< 0.1%
305 1
 
< 0.1%
237 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct50
Distinct (%)1.0%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean7.141172
Minimum0
Maximum1000
Zeros179
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:14:56.660028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q38
95-th percentile16
Maximum1000
Range1000
Interquartile range (IQR)6

Descriptive statistics

Standard deviation29.046376
Coefficient of variation (CV)4.0674522
Kurtosis1049.9662
Mean7.141172
Median Absolute Deviation (MAD)3
Skewness31.350458
Sum37534
Variance843.69196
MonotonicityNot monotonic
2024-05-11T09:14:57.239568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 783
14.8%
5 553
10.5%
4 531
10.0%
6 461
8.7%
3 431
8.2%
7 407
7.7%
2 377
 
7.1%
8 310
 
5.9%
9 249
 
4.7%
0 179
 
3.4%
Other values (40) 975
18.5%
ValueCountFrequency (%)
0 179
 
3.4%
1 783
14.8%
2 377
7.1%
3 431
8.2%
4 531
10.0%
5 553
10.5%
6 461
8.7%
7 407
7.7%
8 310
 
5.9%
9 249
 
4.7%
ValueCountFrequency (%)
1000 4
0.1%
456 1
 
< 0.1%
253 1
 
< 0.1%
236 1
 
< 0.1%
119 1
 
< 0.1%
97 1
 
< 0.1%
78 1
 
< 0.1%
52 1
 
< 0.1%
49 1
 
< 0.1%
46 1
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)0.6%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.9505327
Minimum0
Maximum1000
Zeros180
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:14:57.646650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q37
95-th percentile13
Maximum1000
Range1000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation27.753465
Coefficient of variation (CV)4.6640303
Kurtosis1251.1424
Mean5.9505327
Median Absolute Deviation (MAD)3
Skewness34.992259
Sum31276
Variance770.25483
MonotonicityNot monotonic
2024-05-11T09:14:58.013783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1004
19.0%
4 648
12.3%
5 607
11.5%
3 506
9.6%
6 456
8.6%
7 395
 
7.5%
2 306
 
5.8%
8 285
 
5.4%
9 226
 
4.3%
0 180
 
3.4%
Other values (23) 643
12.2%
ValueCountFrequency (%)
0 180
 
3.4%
1 1004
19.0%
2 306
 
5.8%
3 506
9.6%
4 648
12.3%
5 607
11.5%
6 456
8.6%
7 395
 
7.5%
8 285
 
5.4%
9 226
 
4.3%
ValueCountFrequency (%)
1000 4
0.1%
36 2
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
28 2
 
< 0.1%
27 3
 
0.1%
26 1
 
< 0.1%
25 4
0.1%
24 5
0.1%
23 8
0.2%

미세먼지 최대(㎍/㎥)
Real number (ℝ)

Distinct94
Distinct (%)1.8%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean41.349125
Minimum0
Maximum1000
Zeros16
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:14:58.415831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median7
Q312
95-th percentile34
Maximum1000
Range1000
Interquartile range (IQR)8

Descriptive statistics

Standard deviation173.63464
Coefficient of variation (CV)4.1992338
Kurtosis26.142086
Mean41.349125
Median Absolute Deviation (MAD)4
Skewness5.282625
Sum217331
Variance30148.988
MonotonicityNot monotonic
2024-05-11T09:14:58.848547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 962
18.2%
6 508
 
9.6%
5 440
 
8.3%
7 402
 
7.6%
8 351
 
6.6%
4 314
 
5.9%
9 309
 
5.8%
10 250
 
4.7%
11 204
 
3.9%
12 182
 
3.4%
Other values (84) 1334
25.2%
ValueCountFrequency (%)
0 16
 
0.3%
1 7
 
0.1%
2 104
 
2.0%
3 962
18.2%
4 314
 
5.9%
5 440
8.3%
6 508
9.6%
7 402
7.6%
8 351
 
6.6%
9 309
 
5.8%
ValueCountFrequency (%)
1000 164
3.1%
729 1
 
< 0.1%
697 1
 
< 0.1%
460 1
 
< 0.1%
447 1
 
< 0.1%
423 1
 
< 0.1%
388 1
 
< 0.1%
339 1
 
< 0.1%
335 1
 
< 0.1%
260 1
 
< 0.1%

미세먼지 평균(㎍/㎥)
Real number (ℝ)

Distinct55
Distinct (%)1.0%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean38.503234
Minimum0
Maximum1000
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:14:59.363866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q310
95-th percentile25
Maximum1000
Range1000
Interquartile range (IQR)6

Descriptive statistics

Standard deviation172.31804
Coefficient of variation (CV)4.4754173
Kurtosis27.10877
Mean38.503234
Median Absolute Deviation (MAD)3
Skewness5.3882007
Sum202373
Variance29693.507
MonotonicityNot monotonic
2024-05-11T09:15:00.133815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 779
14.7%
6 546
10.3%
5 543
10.3%
7 445
8.4%
4 423
8.0%
8 391
 
7.4%
3 384
 
7.3%
9 305
 
5.8%
10 238
 
4.5%
11 164
 
3.1%
Other values (45) 1038
19.6%
ValueCountFrequency (%)
0 20
 
0.4%
1 5
 
0.1%
2 779
14.7%
3 384
7.3%
4 423
8.0%
5 543
10.3%
6 546
10.3%
7 445
8.4%
8 391
7.4%
9 305
 
5.8%
ValueCountFrequency (%)
1000 163
3.1%
469 1
 
< 0.1%
259 1
 
< 0.1%
256 1
 
< 0.1%
131 1
 
< 0.1%
107 1
 
< 0.1%
86 1
 
< 0.1%
58 1
 
< 0.1%
52 1
 
< 0.1%
50 1
 
< 0.1%

미세먼지 최소(㎍/㎥)
Real number (ℝ)

Distinct39
Distinct (%)0.7%
Missing28
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.260845
Minimum0
Maximum1000
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:00.571537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median6
Q39
95-th percentile19
Maximum1000
Range1000
Interquartile range (IQR)6

Descriptive statistics

Standard deviation172.30342
Coefficient of variation (CV)4.6242488
Kurtosis27.266405
Mean37.260845
Median Absolute Deviation (MAD)3
Skewness5.4069778
Sum195843
Variance29688.468
MonotonicityNot monotonic
2024-05-11T09:15:01.174883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2 1001
18.9%
5 669
12.7%
6 586
11.1%
4 500
9.5%
7 440
8.3%
8 385
 
7.3%
3 305
 
5.8%
9 281
 
5.3%
10 206
 
3.9%
1000 163
 
3.1%
Other values (29) 720
13.6%
ValueCountFrequency (%)
0 20
 
0.4%
1 7
 
0.1%
2 1001
18.9%
3 305
 
5.8%
4 500
9.5%
5 669
12.7%
6 586
11.1%
7 440
8.3%
8 385
 
7.3%
9 281
 
5.3%
ValueCountFrequency (%)
1000 163
3.1%
39 1
 
< 0.1%
38 2
 
< 0.1%
37 1
 
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
30 2
 
< 0.1%
29 3
 
0.1%

온도 최대(℃)
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)2.2%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean-3.0137931
Minimum-40
Maximum1.5
Zeros30
Zeros (%)0.6%
Negative4861
Negative (%)92.0%
Memory size46.6 KiB
2024-05-11T09:15:01.713438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-5
Q1-3.1
median-2.3
Q3-1.4
95-th percentile-0.3
Maximum1.5
Range41.5
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation5.1905347
Coefficient of variation (CV)-1.7222598
Kurtosis42.545526
Mean-3.0137931
Median Absolute Deviation (MAD)0.9
Skewness-6.415471
Sum-15032.8
Variance26.94165
MonotonicityNot monotonic
2024-05-11T09:15:02.193075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.7 167
 
3.2%
-2.4 167
 
3.2%
-2.2 156
 
3.0%
-1.8 154
 
2.9%
-2.1 153
 
2.9%
-2.6 152
 
2.9%
-3.1 150
 
2.8%
-1.9 150
 
2.8%
-2.5 149
 
2.8%
-1.7 138
 
2.6%
Other values (102) 3452
65.3%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
-40.0 87
1.6%
-30.1 1
 
< 0.1%
-26.6 1
 
< 0.1%
-26.1 1
 
< 0.1%
-25.7 1
 
< 0.1%
-23.4 1
 
< 0.1%
-17.0 1
 
< 0.1%
-16.6 1
 
< 0.1%
-16.2 1
 
< 0.1%
-15.8 1
 
< 0.1%
ValueCountFrequency (%)
1.5 1
 
< 0.1%
1.1 1
 
< 0.1%
1.0 2
 
< 0.1%
0.9 4
 
0.1%
0.8 5
 
0.1%
0.7 3
 
0.1%
0.6 2
 
< 0.1%
0.5 12
0.2%
0.4 14
0.3%
0.3 10
0.2%

온도 평균(℃)
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)2.3%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean-3.2635325
Minimum-40
Maximum1.1
Zeros18
Zeros (%)0.3%
Negative4928
Negative (%)93.3%
Memory size46.6 KiB
2024-05-11T09:15:02.679049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-5.3
Q1-3.4
median-2.5
Q3-1.7
95-th percentile-0.6
Maximum1.1
Range41.1
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation5.1679803
Coefficient of variation (CV)-1.5835541
Kurtosis42.335942
Mean-3.2635325
Median Absolute Deviation (MAD)0.9
Skewness-6.4051011
Sum-16278.5
Variance26.70802
MonotonicityNot monotonic
2024-05-11T09:15:03.177009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.4 164
 
3.1%
-2.2 159
 
3.0%
-2.5 158
 
3.0%
-1.8 154
 
2.9%
-2.8 154
 
2.9%
-2.7 154
 
2.9%
-3.0 153
 
2.9%
-2.3 150
 
2.8%
-2.9 145
 
2.7%
-2.6 143
 
2.7%
Other values (103) 3454
65.4%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
-40.0 87
1.6%
-34.0 1
 
< 0.1%
-30.2 1
 
< 0.1%
-27.4 1
 
< 0.1%
-26.9 1
 
< 0.1%
-25.6 1
 
< 0.1%
-17.3 1
 
< 0.1%
-17.0 1
 
< 0.1%
-16.9 1
 
< 0.1%
-16.8 1
 
< 0.1%
ValueCountFrequency (%)
1.1 1
 
< 0.1%
0.9 1
 
< 0.1%
0.8 1
 
< 0.1%
0.7 1
 
< 0.1%
0.6 3
 
0.1%
0.5 2
 
< 0.1%
0.4 3
 
0.1%
0.3 7
0.1%
0.2 10
0.2%
0.1 13
0.2%

온도 최소(℃)
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)2.2%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean-3.5091219
Minimum-40
Maximum0.4
Zeros8
Zeros (%)0.2%
Negative4969
Negative (%)94.0%
Memory size46.6 KiB
2024-05-11T09:15:03.738984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-5.5
Q1-3.6
median-2.8
Q3-1.9
95-th percentile-0.9
Maximum0.4
Range40.4
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation5.1530476
Coefficient of variation (CV)-1.4684721
Kurtosis42.058215
Mean-3.5091219
Median Absolute Deviation (MAD)0.9
Skewness-6.3872265
Sum-17503.5
Variance26.553899
MonotonicityNot monotonic
2024-05-11T09:15:04.211502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.2 164
 
3.1%
-2.8 163
 
3.1%
-3.1 163
 
3.1%
-2.7 161
 
3.0%
-2.6 160
 
3.0%
-2.5 153
 
2.9%
-2.4 150
 
2.8%
-2.2 149
 
2.8%
-2.9 148
 
2.8%
-1.8 146
 
2.8%
Other values (100) 3431
64.9%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
-40.0 88
1.7%
-32.3 1
 
< 0.1%
-29.2 1
 
< 0.1%
-28.6 1
 
< 0.1%
-27.6 1
 
< 0.1%
-20.4 1
 
< 0.1%
-18.1 1
 
< 0.1%
-17.5 1
 
< 0.1%
-17.1 1
 
< 0.1%
-16.6 1
 
< 0.1%
ValueCountFrequency (%)
0.4 3
 
0.1%
0.3 2
 
< 0.1%
0.1 6
 
0.1%
0.0 8
 
0.2%
-0.1 13
0.2%
-0.2 16
0.3%
-0.3 23
0.4%
-0.4 21
0.4%
-0.5 18
0.3%
-0.6 24
0.5%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)1.1%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean64.520449
Minimum48
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:04.731297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile53
Q157
median61
Q367
95-th percentile100
Maximum100
Range52
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.430379
Coefficient of variation (CV)0.19265797
Kurtosis2.4156626
Mean64.520449
Median Absolute Deviation (MAD)5
Skewness1.7502497
Sum321828
Variance154.51432
MonotonicityNot monotonic
2024-05-11T09:15:05.330669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 331
 
6.3%
57 317
 
6.0%
56 315
 
6.0%
58 313
 
5.9%
59 307
 
5.8%
60 275
 
5.2%
61 260
 
4.9%
55 247
 
4.7%
62 241
 
4.6%
54 223
 
4.2%
Other values (43) 2159
40.9%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
48 6
 
0.1%
49 14
 
0.3%
50 36
 
0.7%
51 52
 
1.0%
52 128
2.4%
53 178
3.4%
54 223
4.2%
55 247
4.7%
56 315
6.0%
57 317
6.0%
ValueCountFrequency (%)
100 331
6.3%
99 7
 
0.1%
98 9
 
0.2%
97 10
 
0.2%
96 11
 
0.2%
95 16
 
0.3%
94 10
 
0.2%
93 8
 
0.2%
92 4
 
0.1%
91 3
 
0.1%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)1.1%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean62.860465
Minimum46
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:05.793851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile51
Q155
median59
Q365
95-th percentile100
Maximum100
Range54
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.220133
Coefficient of variation (CV)0.19440092
Kurtosis3.0923951
Mean62.860465
Median Absolute Deviation (MAD)4
Skewness1.9075833
Sum313548
Variance149.33164
MonotonicityNot monotonic
2024-05-11T09:15:06.271659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 330
 
6.2%
57 330
 
6.2%
58 314
 
5.9%
55 310
 
5.9%
59 307
 
5.8%
54 286
 
5.4%
60 277
 
5.2%
100 270
 
5.1%
62 252
 
4.8%
61 242
 
4.6%
Other values (45) 2070
39.2%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
46 3
 
0.1%
47 7
 
0.1%
48 17
 
0.3%
49 26
 
0.5%
50 82
 
1.6%
51 117
 
2.2%
52 188
3.6%
53 236
4.5%
54 286
5.4%
55 310
5.9%
ValueCountFrequency (%)
100 270
5.1%
99 18
 
0.3%
98 7
 
0.1%
97 14
 
0.3%
96 10
 
0.2%
95 9
 
0.2%
94 10
 
0.2%
93 12
 
0.2%
92 10
 
0.2%
91 8
 
0.2%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)1.1%
Missing296
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean61.273657
Minimum45
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:06.683764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile50
Q154
median58
Q363
95-th percentile100
Maximum100
Range55
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.073645
Coefficient of variation (CV)0.19704463
Kurtosis3.824105
Mean61.273657
Median Absolute Deviation (MAD)4
Skewness2.0566274
Sum305633
Variance145.7729
MonotonicityNot monotonic
2024-05-11T09:15:07.328470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 359
 
6.8%
57 345
 
6.5%
54 331
 
6.3%
55 320
 
6.1%
58 315
 
6.0%
60 284
 
5.4%
59 274
 
5.2%
53 268
 
5.1%
100 265
 
5.0%
61 247
 
4.7%
Other values (45) 1980
37.5%
(Missing) 296
 
5.6%
ValueCountFrequency (%)
45 6
 
0.1%
46 13
 
0.2%
47 17
 
0.3%
48 43
 
0.8%
49 90
 
1.7%
50 124
 
2.3%
51 215
4.1%
52 238
4.5%
53 268
5.1%
54 331
6.3%
ValueCountFrequency (%)
100 265
5.0%
98 1
 
< 0.1%
97 10
 
0.2%
96 4
 
0.1%
95 9
 
0.2%
94 8
 
0.2%
93 11
 
0.2%
92 7
 
0.1%
91 8
 
0.2%
90 6
 
0.1%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)14.5%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.734058
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:07.751188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.6
median1.3
Q32
95-th percentile3.75
Maximum11.9
Range11.8
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation2.1509912
Coefficient of variation (CV)1.2404379
Kurtosis12.758935
Mean1.734058
Median Absolute Deviation (MAD)0.7
Skewness3.4362495
Sum478.6
Variance4.6267631
MonotonicityNot monotonic
2024-05-11T09:15:08.166655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.1 34
 
0.6%
1.1 16
 
0.3%
1.7 16
 
0.3%
0.4 16
 
0.3%
1.2 13
 
0.2%
1.9 11
 
0.2%
0.9 10
 
0.2%
1.4 10
 
0.2%
1.5 10
 
0.2%
1.3 9
 
0.2%
Other values (30) 131
 
2.5%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 34
0.6%
0.2 3
 
0.1%
0.3 8
 
0.2%
0.4 16
0.3%
0.5 5
 
0.1%
0.6 7
 
0.1%
0.7 7
 
0.1%
0.8 8
 
0.2%
0.9 10
 
0.2%
1.0 8
 
0.2%
ValueCountFrequency (%)
11.9 1
 
< 0.1%
11.3 4
0.1%
11.1 6
0.1%
4.0 1
 
< 0.1%
3.9 2
 
< 0.1%
3.7 3
0.1%
3.6 2
 
< 0.1%
3.5 3
0.1%
3.4 2
 
< 0.1%
3.3 2
 
< 0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)10.9%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.1416667
Minimum0.1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:08.543743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.6
Q31.2
95-th percentile3.1
Maximum11
Range10.9
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation2.1187911
Coefficient of variation (CV)1.8558754
Kurtosis15.82188
Mean1.1416667
Median Absolute Deviation (MAD)0.5
Skewness3.9857362
Sum315.1
Variance4.4892758
MonotonicityNot monotonic
2024-05-11T09:15:09.018753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.1 70
 
1.3%
0.6 24
 
0.5%
0.4 17
 
0.3%
0.2 17
 
0.3%
0.5 15
 
0.3%
0.7 14
 
0.3%
0.8 13
 
0.2%
0.3 12
 
0.2%
1.2 10
 
0.2%
1.3 9
 
0.2%
Other values (20) 75
 
1.4%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 70
1.3%
0.2 17
 
0.3%
0.3 12
 
0.2%
0.4 17
 
0.3%
0.5 15
 
0.3%
0.6 24
 
0.5%
0.7 14
 
0.3%
0.8 13
 
0.2%
0.9 7
 
0.1%
1.0 9
 
0.2%
ValueCountFrequency (%)
11.0 6
0.1%
10.9 5
0.1%
3.1 4
0.1%
3.0 2
 
< 0.1%
2.8 1
 
< 0.1%
2.7 2
 
< 0.1%
2.5 1
 
< 0.1%
2.4 1
 
< 0.1%
2.3 3
0.1%
2.2 2
 
< 0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)8.3%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean0.78731884
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:09.386641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.5
95-th percentile2.325
Maximum10.9
Range10.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation2.1063934
Coefficient of variation (CV)2.6754007
Kurtosis18.163449
Mean0.78731884
Median Absolute Deviation (MAD)0
Skewness4.3664063
Sum217.3
Variance4.4368931
MonotonicityNot monotonic
2024-05-11T09:15:09.957261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.1 150
 
2.8%
0.3 19
 
0.4%
0.2 18
 
0.3%
0.4 12
 
0.2%
0.8 11
 
0.2%
0.5 10
 
0.2%
0.6 9
 
0.2%
10.8 7
 
0.1%
0.7 7
 
0.1%
1.1 4
 
0.1%
Other values (13) 29
 
0.5%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 150
2.8%
0.2 18
 
0.3%
0.3 19
 
0.4%
0.4 12
 
0.2%
0.5 10
 
0.2%
0.6 9
 
0.2%
0.7 7
 
0.1%
0.8 11
 
0.2%
0.9 3
 
0.1%
1.0 2
 
< 0.1%
ValueCountFrequency (%)
10.9 4
0.1%
10.8 7
0.1%
2.4 3
0.1%
2.3 3
0.1%
2.2 2
 
< 0.1%
1.8 1
 
< 0.1%
1.7 1
 
< 0.1%
1.6 1
 
< 0.1%
1.5 3
0.1%
1.4 1
 
< 0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct226
Distinct (%)81.9%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean246.49094
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:10.567122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1.9
Q1194.95
median304.85
Q3339.55
95-th percentile358.8
Maximum359.9
Range359.8
Interquartile range (IQR)144.6

Descriptive statistics

Standard deviation121.81513
Coefficient of variation (CV)0.49419718
Kurtosis-0.62767776
Mean246.49094
Median Absolute Deviation (MAD)51.35
Skewness-0.95427305
Sum68031.5
Variance14838.925
MonotonicityNot monotonic
2024-05-11T09:15:11.118877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 9
 
0.2%
0.1 6
 
0.1%
357.2 5
 
0.1%
8.4 5
 
0.1%
30.9 5
 
0.1%
45.0 5
 
0.1%
358.3 4
 
0.1%
358.5 3
 
0.1%
359.1 3
 
0.1%
334.7 2
 
< 0.1%
Other values (216) 229
 
4.3%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 6
0.1%
1.9 9
0.2%
2.0 2
 
< 0.1%
8.4 5
0.1%
26.9 1
 
< 0.1%
30.9 5
0.1%
39.0 1
 
< 0.1%
41.8 1
 
< 0.1%
42.2 1
 
< 0.1%
43.4 1
 
< 0.1%
ValueCountFrequency (%)
359.9 1
 
< 0.1%
359.8 2
< 0.1%
359.7 1
 
< 0.1%
359.6 1
 
< 0.1%
359.4 1
 
< 0.1%
359.3 1
 
< 0.1%
359.2 1
 
< 0.1%
359.1 3
0.1%
359.0 1
 
< 0.1%
358.9 1
 
< 0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct166
Distinct (%)60.1%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean170.98043
Minimum0.1
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:11.604540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q144
median195
Q3282.5
95-th percentile331.25
Maximum357
Range356.9
Interquartile range (IQR)238.5

Descriptive statistics

Standard deviation118.94798
Coefficient of variation (CV)0.69568179
Kurtosis-1.5715805
Mean170.98043
Median Absolute Deviation (MAD)114
Skewness-0.086525731
Sum47190.6
Variance14148.621
MonotonicityNot monotonic
2024-05-11T09:15:12.259169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 11
 
0.2%
0.1 6
 
0.1%
31.0 6
 
0.1%
45.0 6
 
0.1%
8.0 5
 
0.1%
306.0 4
 
0.1%
36.0 4
 
0.1%
313.0 4
 
0.1%
357.0 4
 
0.1%
42.0 4
 
0.1%
Other values (156) 222
 
4.2%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 6
0.1%
1.0 1
 
< 0.1%
2.0 11
0.2%
4.0 1
 
< 0.1%
7.0 1
 
< 0.1%
8.0 5
0.1%
9.0 1
 
< 0.1%
11.0 1
 
< 0.1%
12.0 2
 
< 0.1%
13.0 1
 
< 0.1%
ValueCountFrequency (%)
357.0 4
0.1%
349.0 1
 
< 0.1%
347.0 1
 
< 0.1%
346.0 1
 
< 0.1%
343.0 1
 
< 0.1%
341.0 1
 
< 0.1%
340.0 1
 
< 0.1%
336.0 1
 
< 0.1%
333.0 2
< 0.1%
332.0 1
 
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)84.4%
Missing5008
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean112.9087
Minimum0.1
Maximum357.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:12.698605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1.2
Q19.35
median46.7
Q3219.725
95-th percentile303.175
Maximum357.2
Range357.1
Interquartile range (IQR)210.375

Descriptive statistics

Standard deviation116.02213
Coefficient of variation (CV)1.0275748
Kurtosis-1.235265
Mean112.9087
Median Absolute Deviation (MAD)45.1
Skewness0.60428609
Sum31162.8
Variance13461.135
MonotonicityNot monotonic
2024-05-11T09:15:13.167753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 7
 
0.1%
1.6 6
 
0.1%
44.6 5
 
0.1%
357.2 4
 
0.1%
1.8 4
 
0.1%
1.9 4
 
0.1%
30.5 3
 
0.1%
1.5 3
 
0.1%
288.7 3
 
0.1%
30.6 3
 
0.1%
Other values (223) 234
 
4.4%
(Missing) 5008
94.8%
ValueCountFrequency (%)
0.1 7
0.1%
0.2 1
 
< 0.1%
0.3 2
 
< 0.1%
0.5 1
 
< 0.1%
0.6 1
 
< 0.1%
0.7 1
 
< 0.1%
0.9 1
 
< 0.1%
1.3 1
 
< 0.1%
1.5 3
0.1%
1.6 6
0.1%
ValueCountFrequency (%)
357.2 4
0.1%
324.4 1
 
< 0.1%
321.0 1
 
< 0.1%
318.1 1
 
< 0.1%
316.6 1
 
< 0.1%
316.0 1
 
< 0.1%
315.9 1
 
< 0.1%
314.7 1
 
< 0.1%
313.8 1
 
< 0.1%
310.7 1
 
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct135
Distinct (%)3.3%
Missing1142
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean184.83414
Minimum0
Maximum99467
Zeros2775
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:13.861745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile38
Maximum99467
Range99467
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3817.5788
Coefficient of variation (CV)20.654079
Kurtosis638.64392
Mean184.83414
Median Absolute Deviation (MAD)0
Skewness24.99061
Sum765583
Variance14573908
MonotonicityNot monotonic
2024-05-11T09:15:14.696544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2775
52.5%
1 210
 
4.0%
2 167
 
3.2%
4 102
 
1.9%
3 77
 
1.5%
5 63
 
1.2%
6 63
 
1.2%
7 48
 
0.9%
8 42
 
0.8%
11 40
 
0.8%
Other values (125) 555
 
10.5%
(Missing) 1142
21.6%
ValueCountFrequency (%)
0 2775
52.5%
1 210
 
4.0%
2 167
 
3.2%
3 77
 
1.5%
4 102
 
1.9%
5 63
 
1.2%
6 63
 
1.2%
7 48
 
0.9%
8 42
 
0.8%
9 29
 
0.5%
ValueCountFrequency (%)
99467 3
0.1%
98570 1
 
< 0.1%
98297 1
 
< 0.1%
96217 1
 
< 0.1%
18830 5
0.1%
13693 1
 
< 0.1%
11739 1
 
< 0.1%
4706 1
 
< 0.1%
4401 1
 
< 0.1%
3520 1
 
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct138
Distinct (%)3.3%
Missing1142
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean96.148238
Minimum0
Maximum59249
Zeros2785
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:15.818171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile37
Maximum59249
Range59249
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2065.48
Coefficient of variation (CV)21.482245
Kurtosis675.90961
Mean96.148238
Median Absolute Deviation (MAD)0
Skewness25.864788
Sum398246
Variance4266207.6
MonotonicityNot monotonic
2024-05-11T09:15:16.575711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2785
52.7%
1 213
 
4.0%
2 169
 
3.2%
4 103
 
1.9%
3 74
 
1.4%
6 60
 
1.1%
5 59
 
1.1%
8 46
 
0.9%
7 45
 
0.9%
11 37
 
0.7%
Other values (128) 551
 
10.4%
(Missing) 1142
21.6%
ValueCountFrequency (%)
0 2785
52.7%
1 213
 
4.0%
2 169
 
3.2%
3 74
 
1.4%
4 103
 
1.9%
5 59
 
1.1%
6 60
 
1.1%
7 45
 
0.9%
8 46
 
0.9%
9 28
 
0.5%
ValueCountFrequency (%)
59249 1
< 0.1%
55197 1
< 0.1%
53151 1
< 0.1%
52166 1
< 0.1%
52014 1
< 0.1%
51689 1
< 0.1%
7085 1
< 0.1%
6894 1
< 0.1%
6694 1
< 0.1%
5370 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct117
Distinct (%)2.8%
Missing1142
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean11.08788
Minimum0
Maximum3572
Zeros2838
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:17.594609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile34
Maximum3572
Range3572
Interquartile range (IQR)2

Descriptive statistics

Standard deviation105.1025
Coefficient of variation (CV)9.4790434
Kurtosis970.20925
Mean11.08788
Median Absolute Deviation (MAD)0
Skewness29.456719
Sum45926
Variance11046.535
MonotonicityNot monotonic
2024-05-11T09:15:18.463856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2838
53.7%
1 202
 
3.8%
2 163
 
3.1%
4 103
 
1.9%
3 72
 
1.4%
6 64
 
1.2%
5 53
 
1.0%
8 45
 
0.9%
7 44
 
0.8%
11 37
 
0.7%
Other values (107) 521
 
9.9%
(Missing) 1142
21.6%
ValueCountFrequency (%)
0 2838
53.7%
1 202
 
3.8%
2 163
 
3.1%
3 72
 
1.4%
4 103
 
1.9%
5 53
 
1.0%
6 64
 
1.2%
7 44
 
0.8%
8 45
 
0.9%
9 27
 
0.5%
ValueCountFrequency (%)
3572 3
0.1%
1710 1
 
< 0.1%
452 1
 
< 0.1%
409 1
 
< 0.1%
405 1
 
< 0.1%
399 2
< 0.1%
388 1
 
< 0.1%
383 1
 
< 0.1%
380 1
 
< 0.1%
361 1
 
< 0.1%

자외선 최대(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
0.0
4116 
<NA>
1077 
1.4
 
52
1.3
 
39

Length

Max length4
Median length3
Mean length3.2038229
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4116
77.9%
<NA> 1077
 
20.4%
1.4 52
 
1.0%
1.3 39
 
0.7%

Length

2024-05-11T09:15:19.019125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:19.349847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4116
77.9%
na 1077
 
20.4%
1.4 52
 
1.0%
1.3 39
 
0.7%

자외선 평균(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
0.0
4116 
<NA>
1077 
1.3
 
57
1.4
 
34

Length

Max length4
Median length3
Mean length3.2038229
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4116
77.9%
<NA> 1077
 
20.4%
1.3 57
 
1.1%
1.4 34
 
0.6%

Length

2024-05-11T09:15:19.675624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:20.034338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4116
77.9%
na 1077
 
20.4%
1.3 57
 
1.1%
1.4 34
 
0.6%

자외선 최대(UV).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
0.0
4116 
<NA>
1077 
1.3
 
77
1.4
 
14

Length

Max length4
Median length3
Mean length3.2038229
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4116
77.9%
<NA> 1077
 
20.4%
1.3 77
 
1.5%
1.4 14
 
0.3%

Length

2024-05-11T09:15:20.394992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:20.774532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4116
77.9%
na 1077
 
20.4%
1.3 77
 
1.5%
1.4 14
 
0.3%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)0.8%
Missing161
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean49.636931
Minimum35
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:21.443260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile40
Q144
median48
Q353
95-th percentile65
Maximum78
Range43
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.520072
Coefficient of variation (CV)0.15150155
Kurtosis0.30686629
Mean49.636931
Median Absolute Deviation (MAD)4
Skewness0.74418811
Sum254290
Variance56.551482
MonotonicityNot monotonic
2024-05-11T09:15:22.000281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
48 588
 
11.1%
44 453
 
8.6%
52 310
 
5.9%
46 284
 
5.4%
45 280
 
5.3%
47 278
 
5.3%
49 254
 
4.8%
51 215
 
4.1%
50 196
 
3.7%
43 184
 
3.5%
Other values (32) 2081
39.4%
ValueCountFrequency (%)
35 71
 
1.3%
36 40
 
0.8%
37 37
 
0.7%
38 32
 
0.6%
39 62
 
1.2%
40 179
 
3.4%
41 127
 
2.4%
42 149
 
2.8%
43 184
3.5%
44 453
8.6%
ValueCountFrequency (%)
78 1
 
< 0.1%
76 1
 
< 0.1%
74 3
 
0.1%
73 9
 
0.2%
72 6
 
0.1%
71 14
 
0.3%
70 23
0.4%
69 32
0.6%
68 39
0.7%
67 49
0.9%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)0.7%
Missing161
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean46.362288
Minimum35
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:22.512377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile37
Q142
median45
Q350
95-th percentile60
Maximum71
Range36
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.9373781
Coefficient of variation (CV)0.14963408
Kurtosis0.47632455
Mean46.362288
Median Absolute Deviation (MAD)4
Skewness0.88204011
Sum237514
Variance48.127215
MonotonicityNot monotonic
2024-05-11T09:15:23.108901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
44 498
 
9.4%
45 390
 
7.4%
43 346
 
6.5%
40 324
 
6.1%
46 293
 
5.5%
41 292
 
5.5%
47 284
 
5.4%
48 276
 
5.2%
42 275
 
5.2%
49 192
 
3.6%
Other values (27) 1953
37.0%
ValueCountFrequency (%)
35 123
 
2.3%
36 82
 
1.6%
37 130
 
2.5%
38 147
 
2.8%
39 173
 
3.3%
40 324
6.1%
41 292
5.5%
42 275
5.2%
43 346
6.5%
44 498
9.4%
ValueCountFrequency (%)
71 3
 
0.1%
70 2
 
< 0.1%
69 4
 
0.1%
68 9
 
0.2%
67 21
 
0.4%
66 24
0.5%
65 24
0.5%
64 32
0.6%
63 54
1.0%
62 37
0.7%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)0.7%
Missing161
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean44.49717
Minimum35
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:23.636953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile36
Q140
median44
Q348
95-th percentile58
Maximum69
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.4627716
Coefficient of variation (CV)0.14524006
Kurtosis0.36309107
Mean44.49717
Median Absolute Deviation (MAD)4
Skewness0.82803074
Sum227959
Variance41.767417
MonotonicityNot monotonic
2024-05-11T09:15:24.201218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
44 586
 
11.1%
40 464
 
8.8%
43 319
 
6.0%
42 304
 
5.8%
41 275
 
5.2%
36 264
 
5.0%
48 258
 
4.9%
39 257
 
4.9%
45 234
 
4.4%
35 228
 
4.3%
Other values (24) 1934
36.6%
ValueCountFrequency (%)
35 228
 
4.3%
36 264
5.0%
37 164
 
3.1%
38 201
 
3.8%
39 257
4.9%
40 464
8.8%
41 275
5.2%
42 304
5.8%
43 319
6.0%
44 586
11.1%
ValueCountFrequency (%)
69 1
 
< 0.1%
67 3
 
0.1%
66 8
 
0.2%
65 8
 
0.2%
64 12
 
0.2%
63 25
0.5%
62 26
0.5%
61 24
0.5%
60 35
0.7%
59 47
0.9%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.5%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.031745684
Minimum0
Maximum0.23
Zeros19
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:24.737294image/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
Maximum0.23
Range0.23
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.022400157
Coefficient of variation (CV)0.70561266
Kurtosis5.9386924
Mean0.031745684
Median Absolute Deviation (MAD)0.01
Skewness1.846578
Sum130.57
Variance0.00050176702
MonotonicityNot monotonic
2024-05-11T09:15:25.177963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.02 1163
22.0%
0.01 868
16.4%
0.03 718
13.6%
0.04 438
 
8.3%
0.05 369
 
7.0%
0.06 180
 
3.4%
0.07 162
 
3.1%
0.08 73
 
1.4%
0.09 55
 
1.0%
0.1 28
 
0.5%
Other values (9) 59
 
1.1%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 19
 
0.4%
0.01 868
16.4%
0.02 1163
22.0%
0.03 718
13.6%
0.04 438
 
8.3%
0.05 369
 
7.0%
0.06 180
 
3.4%
0.07 162
 
3.1%
0.08 73
 
1.4%
0.09 55
 
1.0%
ValueCountFrequency (%)
0.23 1
 
< 0.1%
0.22 1
 
< 0.1%
0.16 2
 
< 0.1%
0.15 6
 
0.1%
0.14 4
 
0.1%
0.13 14
 
0.3%
0.12 2
 
< 0.1%
0.11 10
 
0.2%
0.1 28
0.5%
0.09 55
1.0%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.4%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.028203258
Minimum0
Maximum0.14
Zeros27
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:25.614378image/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
Maximum0.14
Range0.14
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.021386874
Coefficient of variation (CV)0.75831217
Kurtosis3.3089458
Mean0.028203258
Median Absolute Deviation (MAD)0.01
Skewness1.6264234
Sum116
Variance0.00045739836
MonotonicityNot monotonic
2024-05-11T09:15:26.012211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.01 1366
25.9%
0.02 984
18.6%
0.03 590
11.2%
0.04 368
 
7.0%
0.05 311
 
5.9%
0.06 174
 
3.3%
0.07 139
 
2.6%
0.09 58
 
1.1%
0.08 56
 
1.1%
0.0 27
 
0.5%
Other values (5) 40
 
0.8%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 27
 
0.5%
0.01 1366
25.9%
0.02 984
18.6%
0.03 590
11.2%
0.04 368
 
7.0%
0.05 311
 
5.9%
0.06 174
 
3.3%
0.07 139
 
2.6%
0.08 56
 
1.1%
0.09 58
 
1.1%
ValueCountFrequency (%)
0.14 6
 
0.1%
0.13 15
 
0.3%
0.12 4
 
0.1%
0.11 5
 
0.1%
0.1 10
 
0.2%
0.09 58
 
1.1%
0.08 56
 
1.1%
0.07 139
2.6%
0.06 174
3.3%
0.05 311
5.9%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)0.3%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.024651106
Minimum0
Maximum0.14
Zeros169
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:26.502298image/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
Maximum0.14
Range0.14
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020539444
Coefficient of variation (CV)0.83320577
Kurtosis3.9957364
Mean0.024651106
Median Absolute Deviation (MAD)0.01
Skewness1.7559906
Sum101.39
Variance0.00042186876
MonotonicityNot monotonic
2024-05-11T09:15:27.025383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.01 1652
31.3%
0.02 830
15.7%
0.03 505
 
9.6%
0.04 355
 
6.7%
0.05 219
 
4.1%
0.06 181
 
3.4%
0.0 169
 
3.2%
0.07 79
 
1.5%
0.08 49
 
0.9%
0.09 39
 
0.7%
Other values (4) 35
 
0.7%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 169
 
3.2%
0.01 1652
31.3%
0.02 830
15.7%
0.03 505
 
9.6%
0.04 355
 
6.7%
0.05 219
 
4.1%
0.06 181
 
3.4%
0.07 79
 
1.5%
0.08 49
 
0.9%
0.09 39
 
0.7%
ValueCountFrequency (%)
0.14 6
 
0.1%
0.13 3
 
0.1%
0.12 16
 
0.3%
0.1 10
 
0.2%
0.09 39
 
0.7%
0.08 49
 
0.9%
0.07 79
 
1.5%
0.06 181
3.4%
0.05 219
4.1%
0.04 355
6.7%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)0.5%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.064254802
Minimum0
Maximum0.23
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:27.423233image/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
Maximum0.23
Range0.23
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.0390249
Coefficient of variation (CV)0.60734605
Kurtosis-0.13996541
Mean0.064254802
Median Absolute Deviation (MAD)0.03
Skewness0.81044513
Sum264.28
Variance0.0015229428
MonotonicityNot monotonic
2024-05-11T09:15:28.001239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.03 622
11.8%
0.02 572
10.8%
0.04 464
 
8.8%
0.05 367
 
6.9%
0.06 356
 
6.7%
0.07 301
 
5.7%
0.08 271
 
5.1%
0.09 229
 
4.3%
0.1 187
 
3.5%
0.11 180
 
3.4%
Other values (11) 564
10.7%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.01 10
 
0.2%
0.02 572
10.8%
0.03 622
11.8%
0.04 464
8.8%
0.05 367
6.9%
0.06 356
6.7%
0.07 301
5.7%
0.08 271
5.1%
0.09 229
 
4.3%
ValueCountFrequency (%)
0.23 1
 
< 0.1%
0.19 4
 
0.1%
0.18 6
 
0.1%
0.17 34
 
0.6%
0.16 56
 
1.1%
0.15 75
1.4%
0.14 86
1.6%
0.13 121
2.3%
0.12 151
2.9%
0.11 180
3.4%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.5%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.059968393
Minimum0
Maximum0.19
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:28.453856image/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 deviation0.039171552
Coefficient of variation (CV)0.6532033
Kurtosis-0.1362243
Mean0.059968393
Median Absolute Deviation (MAD)0.03
Skewness0.82821985
Sum246.65
Variance0.0015344105
MonotonicityNot monotonic
2024-05-11T09:15:29.032257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 760
14.4%
0.03 515
9.7%
0.04 417
 
7.9%
0.05 365
 
6.9%
0.06 337
 
6.4%
0.08 295
 
5.6%
0.07 261
 
4.9%
0.1 181
 
3.4%
0.09 176
 
3.3%
0.11 169
 
3.2%
Other values (10) 637
12.1%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.01 145
 
2.7%
0.02 760
14.4%
0.03 515
9.7%
0.04 417
7.9%
0.05 365
6.9%
0.06 337
6.4%
0.07 261
 
4.9%
0.08 295
 
5.6%
0.09 176
 
3.3%
ValueCountFrequency (%)
0.19 4
 
0.1%
0.18 6
 
0.1%
0.17 19
 
0.4%
0.16 42
 
0.8%
0.15 90
1.7%
0.14 72
 
1.4%
0.13 95
1.8%
0.12 144
2.7%
0.11 169
3.2%
0.1 181
3.4%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.5%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean0.055521517
Minimum0
Maximum0.18
Zeros25
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:29.433728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.039059674
Coefficient of variation (CV)0.70350517
Kurtosis-0.070204785
Mean0.055521517
Median Absolute Deviation (MAD)0.03
Skewness0.85661906
Sum228.36
Variance0.0015256582
MonotonicityNot monotonic
2024-05-11T09:15:29.899020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.02 698
13.2%
0.03 498
9.4%
0.01 428
 
8.1%
0.04 400
 
7.6%
0.05 337
 
6.4%
0.06 296
 
5.6%
0.07 276
 
5.2%
0.08 239
 
4.5%
0.1 183
 
3.5%
0.09 180
 
3.4%
Other values (9) 578
10.9%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 25
 
0.5%
0.01 428
8.1%
0.02 698
13.2%
0.03 498
9.4%
0.04 400
7.6%
0.05 337
6.4%
0.06 296
5.6%
0.07 276
 
5.2%
0.08 239
 
4.5%
0.09 180
 
3.4%
ValueCountFrequency (%)
0.18 7
 
0.1%
0.17 16
 
0.3%
0.16 33
 
0.6%
0.15 75
1.4%
0.14 64
 
1.2%
0.13 85
1.6%
0.12 108
2.0%
0.11 165
3.1%
0.1 183
3.5%
0.09 180
3.4%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.6%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1.0419426
Minimum0
Maximum1.27
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:30.377132image/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
Maximum1.27
Range1.27
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.080558874
Coefficient of variation (CV)0.077316036
Kurtosis133.4288
Mean1.0419426
Median Absolute Deviation (MAD)0.02
Skewness-10.480652
Sum4285.51
Variance0.0064897321
MonotonicityNot monotonic
2024-05-11T09:15:30.859343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.06 478
9.0%
1.04 439
 
8.3%
1.05 424
 
8.0%
1.03 422
 
8.0%
1.07 365
 
6.9%
1.02 349
 
6.6%
1.08 341
 
6.5%
1.01 283
 
5.4%
1.0 217
 
4.1%
1.09 211
 
4.0%
Other values (16) 584
11.1%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.94 4
 
0.1%
0.95 10
 
0.2%
0.96 8
 
0.2%
0.97 25
 
0.5%
0.98 60
 
1.1%
0.99 146
2.8%
1.0 217
4.1%
1.01 283
5.4%
1.02 349
6.6%
ValueCountFrequency (%)
1.27 1
 
< 0.1%
1.17 4
 
0.1%
1.16 1
 
< 0.1%
1.15 10
 
0.2%
1.14 14
 
0.3%
1.13 35
 
0.7%
1.12 54
 
1.0%
1.11 45
 
0.9%
1.1 147
2.8%
1.09 211
4.0%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.6%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1.0371238
Minimum0
Maximum1.16
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:31.484005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q11.02
median1.04
Q31.07
95-th percentile1.1
Maximum1.16
Range1.16
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.080203526
Coefficient of variation (CV)0.077332648
Kurtosis133.2986
Mean1.0371238
Median Absolute Deviation (MAD)0.02
Skewness-10.4783
Sum4265.69
Variance0.0064326055
MonotonicityNot monotonic
2024-05-11T09:15:31.996074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.05 502
9.5%
1.03 457
 
8.6%
1.06 418
 
7.9%
1.04 400
 
7.6%
1.02 392
 
7.4%
1.07 336
 
6.4%
1.01 280
 
5.3%
1.08 270
 
5.1%
1.0 254
 
4.8%
1.09 209
 
4.0%
Other values (14) 595
11.3%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.94 10
 
0.2%
0.95 5
 
0.1%
0.96 21
 
0.4%
0.97 29
 
0.5%
0.98 98
 
1.9%
0.99 197
3.7%
1.0 254
4.8%
1.01 280
5.3%
1.02 392
7.4%
ValueCountFrequency (%)
1.16 5
 
0.1%
1.15 3
 
0.1%
1.14 11
 
0.2%
1.13 31
 
0.6%
1.12 50
 
0.9%
1.11 40
 
0.8%
1.1 75
 
1.4%
1.09 209
4.0%
1.08 270
5.1%
1.07 336
6.4%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.6%
Missing1171
Missing (%)22.2%
Infinite0
Infinite (%)0.0%
Mean1.0314685
Minimum0
Maximum1.16
Zeros20
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:32.478836image/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
Maximum1.16
Range1.16
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.079940594
Coefficient of variation (CV)0.07750173
Kurtosis132.11873
Mean1.0314685
Median Absolute Deviation (MAD)0.02
Skewness-10.408885
Sum4242.43
Variance0.0063904986
MonotonicityNot monotonic
2024-05-11T09:15:32.899938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.05 484
9.2%
1.02 446
 
8.4%
1.03 433
 
8.2%
1.04 417
 
7.9%
1.06 358
 
6.8%
1.01 340
 
6.4%
1.07 324
 
6.1%
1.0 281
 
5.3%
1.08 216
 
4.1%
0.99 215
 
4.1%
Other values (15) 599
11.3%
(Missing) 1171
22.2%
ValueCountFrequency (%)
0.0 20
 
0.4%
0.93 8
 
0.2%
0.94 4
 
0.1%
0.95 9
 
0.2%
0.96 35
 
0.7%
0.97 65
 
1.2%
0.98 152
2.9%
0.99 215
4.1%
1.0 281
5.3%
1.01 340
6.4%
ValueCountFrequency (%)
1.16 1
 
< 0.1%
1.15 4
 
0.1%
1.14 13
 
0.2%
1.13 17
 
0.3%
1.12 33
 
0.6%
1.11 46
 
0.9%
1.1 50
 
0.9%
1.09 142
2.7%
1.08 216
4.1%
1.07 324
6.1%

흑구온도 최대(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5284
Missing (%)100.0%
Memory size46.6 KiB

흑구온도 평균(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5284
Missing (%)100.0%
Memory size46.6 KiB

흑구온도 최소(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5284
Missing (%)100.0%
Memory size46.6 KiB

이산화질소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)74.9%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.50059283
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:33.416940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0873
Q10.2185
median0.431
Q30.631
95-th percentile1.3951
Maximum2
Range2
Interquartile range (IQR)0.4125

Descriptive statistics

Standard deviation0.41216816
Coefficient of variation (CV)0.8233601
Kurtosis6.2223154
Mean0.50059283
Median Absolute Deviation (MAD)0.207
Skewness2.3177152
Sum153.682
Variance0.1698826
MonotonicityNot monotonic
2024-05-11T09:15:33.927573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.0 11
 
0.2%
0.408 4
 
0.1%
0.672 4
 
0.1%
0.195 3
 
0.1%
0.48 3
 
0.1%
0.352 3
 
0.1%
0.429 3
 
0.1%
0.638 3
 
0.1%
0.619 3
 
0.1%
Other values (220) 255
 
4.8%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
0.2%
0.074 1
 
< 0.1%
0.075 1
 
< 0.1%
0.078 2
 
< 0.1%
0.087 1
 
< 0.1%
0.088 1
 
< 0.1%
0.111 1
 
< 0.1%
0.112 1
 
< 0.1%
0.114 2
 
< 0.1%
0.116 1
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
1.399 1
 
< 0.1%
1.386 1
 
< 0.1%
1.385 1
 
< 0.1%
1.374 1
 
< 0.1%
0.821 1
 
< 0.1%
0.788 1
 
< 0.1%
0.782 1
 
< 0.1%
0.778 1
 
< 0.1%
0.756 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)75.6%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.52347557
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:34.451487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1096
Q10.2515
median0.438
Q30.654
95-th percentile1.7139
Maximum2
Range2
Interquartile range (IQR)0.4025

Descriptive statistics

Standard deviation0.41751721
Coefficient of variation (CV)0.79758681
Kurtosis5.6043304
Mean0.52347557
Median Absolute Deviation (MAD)0.2
Skewness2.2245513
Sum160.707
Variance0.17432062
MonotonicityNot monotonic
2024-05-11T09:15:34.926898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.0 11
 
0.2%
0.432 4
 
0.1%
0.407 3
 
0.1%
0.358 3
 
0.1%
0.664 3
 
0.1%
0.659 3
 
0.1%
0.142 3
 
0.1%
0.351 3
 
0.1%
0.355 2
 
< 0.1%
Other values (222) 257
 
4.9%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
0.2%
0.079 1
 
< 0.1%
0.094 2
 
< 0.1%
0.098 1
 
< 0.1%
0.109 1
 
< 0.1%
0.111 1
 
< 0.1%
0.121 1
 
< 0.1%
0.134 2
 
< 0.1%
0.142 3
 
0.1%
0.147 1
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
1.845 1
 
< 0.1%
1.408 1
 
< 0.1%
1.389 1
 
< 0.1%
1.388 1
 
< 0.1%
1.379 1
 
< 0.1%
1.096 1
 
< 0.1%
0.919 1
 
< 0.1%
0.829 1
 
< 0.1%
0.809 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)72.3%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.49167752
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:35.420407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0778
Q10.2075
median0.429
Q30.622
95-th percentile1.3894
Maximum2
Range2
Interquartile range (IQR)0.4145

Descriptive statistics

Standard deviation0.41313054
Coefficient of variation (CV)0.84024694
Kurtosis6.3443335
Mean0.49167752
Median Absolute Deviation (MAD)0.204
Skewness2.3448802
Sum150.945
Variance0.17067684
MonotonicityNot monotonic
2024-05-11T09:15:35.992872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.0 11
 
0.2%
0.536 5
 
0.1%
0.199 3
 
0.1%
0.349 3
 
0.1%
0.352 3
 
0.1%
0.405 3
 
0.1%
0.504 2
 
< 0.1%
0.343 2
 
< 0.1%
0.687 2
 
< 0.1%
Other values (212) 258
 
4.9%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
0.2%
0.067 1
 
< 0.1%
0.068 1
 
< 0.1%
0.072 1
 
< 0.1%
0.074 1
 
< 0.1%
0.076 1
 
< 0.1%
0.082 1
 
< 0.1%
0.095 1
 
< 0.1%
0.101 2
 
< 0.1%
0.106 1
 
< 0.1%
ValueCountFrequency (%)
2.0 15
0.3%
1.393 1
 
< 0.1%
1.381 1
 
< 0.1%
1.378 1
 
< 0.1%
1.37 1
 
< 0.1%
0.815 1
 
< 0.1%
0.777 1
 
< 0.1%
0.775 1
 
< 0.1%
0.769 1
 
< 0.1%
0.743 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)18.2%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.1347101
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:36.731387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.031
median0.037
Q30.0475
95-th percentile0.1454
Maximum2
Range2
Interquartile range (IQR)0.0165

Descriptive statistics

Standard deviation0.42377321
Coefficient of variation (CV)3.1458162
Kurtosis15.737808
Mean0.1347101
Median Absolute Deviation (MAD)0.008
Skewness4.1956969
Sum41.356
Variance0.17958373
MonotonicityNot monotonic
2024-05-11T09:15:37.343081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.037 46
 
0.9%
0.024 18
 
0.3%
2.0 15
 
0.3%
0.032 14
 
0.3%
0.038 13
 
0.2%
0.0 11
 
0.2%
0.039 11
 
0.2%
0.025 11
 
0.2%
0.036 10
 
0.2%
0.026 9
 
0.2%
Other values (46) 149
 
2.8%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
0.2%
0.021 1
 
< 0.1%
0.022 1
 
< 0.1%
0.024 18
0.3%
0.025 11
0.2%
0.026 9
0.2%
0.027 7
 
0.1%
0.028 7
 
0.1%
0.029 5
 
0.1%
0.03 4
 
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.158 1
 
< 0.1%
0.116 1
 
< 0.1%
0.086 1
 
< 0.1%
0.084 1
 
< 0.1%
0.082 1
 
< 0.1%
0.078 1
 
< 0.1%
0.074 3
 
0.1%
0.072 2
 
< 0.1%
0.071 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)15.3%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.12956026
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:37.817717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.022
Q10.026
median0.035
Q30.038
95-th percentile0.0819
Maximum2
Range2
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.42478558
Coefficient of variation (CV)3.2786719
Kurtosis15.765503
Mean0.12956026
Median Absolute Deviation (MAD)0.007
Skewness4.2007823
Sum39.775
Variance0.18044279
MonotonicityNot monotonic
2024-05-11T09:15:38.472016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.037 40
 
0.8%
0.024 38
 
0.7%
0.036 25
 
0.5%
2.0 15
 
0.3%
0.025 14
 
0.3%
0.031 14
 
0.3%
0.032 13
 
0.2%
0.035 13
 
0.2%
0.038 12
 
0.2%
0.0 11
 
0.2%
Other values (37) 112
 
2.1%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
 
0.2%
0.019 1
 
< 0.1%
0.02 2
 
< 0.1%
0.021 1
 
< 0.1%
0.022 2
 
< 0.1%
0.023 7
 
0.1%
0.024 38
0.7%
0.025 14
 
0.3%
0.026 9
 
0.2%
0.027 5
 
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.087 1
 
< 0.1%
0.07 2
 
< 0.1%
0.068 1
 
< 0.1%
0.067 2
 
< 0.1%
0.066 1
 
< 0.1%
0.065 1
 
< 0.1%
0.06 1
 
< 0.1%
0.058 2
 
< 0.1%
0.057 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)12.7%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.12685668
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:39.027551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.019
Q10.024
median0.031
Q30.037
95-th percentile0.0654
Maximum2
Range2
Interquartile range (IQR)0.013

Descriptive statistics

Standard deviation0.42535875
Coefficient of variation (CV)3.3530655
Kurtosis15.772665
Mean0.12685668
Median Absolute Deviation (MAD)0.007
Skewness4.2021164
Sum38.945
Variance0.18093006
MonotonicityNot monotonic
2024-05-11T09:15:39.502442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.024 60
 
1.1%
0.037 41
 
0.8%
0.035 19
 
0.4%
0.023 18
 
0.3%
2.0 15
 
0.3%
0.038 14
 
0.3%
0.03 14
 
0.3%
0.032 13
 
0.2%
0.031 12
 
0.2%
0.036 11
 
0.2%
Other values (29) 90
 
1.7%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
 
0.2%
0.015 1
 
< 0.1%
0.017 1
 
< 0.1%
0.018 2
 
< 0.1%
0.019 2
 
< 0.1%
0.02 1
 
< 0.1%
0.023 18
 
0.3%
0.024 60
1.1%
0.025 7
 
0.1%
0.026 7
 
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.066 1
 
< 0.1%
0.064 1
 
< 0.1%
0.063 2
 
< 0.1%
0.062 1
 
< 0.1%
0.061 1
 
< 0.1%
0.059 1
 
< 0.1%
0.055 1
 
< 0.1%
0.052 2
 
< 0.1%
0.051 2
 
< 0.1%

이산화황 최대(ppm)
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)2.0%
Missing4977
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.67357655
Minimum0
Maximum2
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:39.881150image/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 deviation0.94405048
Coefficient of variation (CV)1.4015489
Kurtosis-1.5196728
Mean0.67357655
Median Absolute Deviation (MAD)0
Skewness0.70017806
Sum206.788
Variance0.89123131
MonotonicityNot monotonic
2024-05-11T09:15:40.211878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.004 167
 
3.2%
2.0 103
 
1.9%
0.003 24
 
0.5%
0.0 11
 
0.2%
0.036 1
 
< 0.1%
0.012 1
 
< 0.1%
(Missing) 4977
94.2%
ValueCountFrequency (%)
0.0 11
 
0.2%
0.003 24
 
0.5%
0.004 167
3.2%
0.012 1
 
< 0.1%
0.036 1
 
< 0.1%
2.0 103
1.9%
ValueCountFrequency (%)
2.0 103
1.9%
0.036 1
 
< 0.1%
0.012 1
 
< 0.1%
0.004 167
3.2%
0.003 24
 
0.5%
0.0 11
 
0.2%

이산화황 평균(ppm)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
<NA>
4977 
0.004
 
168
2.0
 
103
0.003
 
24
0.0
 
11

Length

Max length5
Median length4
Mean length4.0149508
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> 4977
94.2%
0.004 168
 
3.2%
2.0 103
 
1.9%
0.003 24
 
0.5%
0.0 11
 
0.2%
0.006 1
 
< 0.1%

Length

2024-05-11T09:15:40.693711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:41.108979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4977
94.2%
0.004 168
 
3.2%
2.0 103
 
1.9%
0.003 24
 
0.5%
0.0 11
 
0.2%
0.006 1
 
< 0.1%

이산화황 최소(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
<NA>
4977 
0.004
 
167
2.0
 
103
0.003
 
26
0.0
 
11

Length

Max length5
Median length4
Mean length4.0149508
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> 4977
94.2%
0.004 167
 
3.2%
2.0 103
 
1.9%
0.003 26
 
0.5%
0.0 11
 
0.2%

Length

2024-05-11T09:15:41.727622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:42.097599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4977
94.2%
0.004 167
 
3.2%
2.0 103
 
1.9%
0.003 26
 
0.5%
0.0 11
 
0.2%

암모니아 최대(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
<NA>
5069 
0
 
215

Length

Max length4
Median length4
Mean length3.8779334
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> 5069
95.9%
0 215
 
4.1%

Length

2024-05-11T09:15:42.480811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:42.821850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5069
95.9%
0 215
 
4.1%

암모니아 평균(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
<NA>
5069 
0
 
215

Length

Max length4
Median length4
Mean length3.8779334
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> 5069
95.9%
0 215
 
4.1%

Length

2024-05-11T09:15:43.305902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:43.736419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5069
95.9%
0 215
 
4.1%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
<NA>
5069 
0
 
215

Length

Max length4
Median length4
Mean length3.8779334
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> 5069
95.9%
0 215
 
4.1%

Length

2024-05-11T09:15:44.220909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:15:44.548326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5069
95.9%
0 215
 
4.1%

황화수소 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)4.7%
Missing5069
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean0.00048837209
Minimum0
Maximum0.01
Zeros187
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:44.856228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0033
Maximum0.01
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0016373573
Coefficient of variation (CV)3.352684
Kurtosis17.628202
Mean0.00048837209
Median Absolute Deviation (MAD)0
Skewness4.1083097
Sum0.105
Variance2.6809389 × 10-6
MonotonicityNot monotonic
2024-05-11T09:15:45.270160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 187
 
3.5%
0.001 8
 
0.2%
0.002 5
 
0.1%
0.005 4
 
0.1%
0.003 4
 
0.1%
0.008 2
 
< 0.1%
0.01 2
 
< 0.1%
0.004 1
 
< 0.1%
0.009 1
 
< 0.1%
0.006 1
 
< 0.1%
(Missing) 5069
95.9%
ValueCountFrequency (%)
0.0 187
3.5%
0.001 8
 
0.2%
0.002 5
 
0.1%
0.003 4
 
0.1%
0.004 1
 
< 0.1%
0.005 4
 
0.1%
0.006 1
 
< 0.1%
0.008 2
 
< 0.1%
0.009 1
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.01 2
 
< 0.1%
0.009 1
 
< 0.1%
0.008 2
 
< 0.1%
0.006 1
 
< 0.1%
0.005 4
 
0.1%
0.004 1
 
< 0.1%
0.003 4
 
0.1%
0.002 5
 
0.1%
0.001 8
 
0.2%
0.0 187
3.5%

황화수소 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.7%
Missing5069
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean0.00033023256
Minimum0
Maximum0.009
Zeros194
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:45.723429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.009
Range0.009
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0013176613
Coefficient of variation (CV)3.9901011
Kurtosis23.517991
Mean0.00033023256
Median Absolute Deviation (MAD)0
Skewness4.7773797
Sum0.071
Variance1.7362313 × 10-6
MonotonicityNot monotonic
2024-05-11T09:15:46.159160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 194
 
3.7%
0.001 9
 
0.2%
0.005 4
 
0.1%
0.002 3
 
0.1%
0.008 2
 
< 0.1%
0.004 1
 
< 0.1%
0.007 1
 
< 0.1%
0.009 1
 
< 0.1%
(Missing) 5069
95.9%
ValueCountFrequency (%)
0.0 194
3.7%
0.001 9
 
0.2%
0.002 3
 
0.1%
0.004 1
 
< 0.1%
0.005 4
 
0.1%
0.007 1
 
< 0.1%
0.008 2
 
< 0.1%
0.009 1
 
< 0.1%
ValueCountFrequency (%)
0.009 1
 
< 0.1%
0.008 2
 
< 0.1%
0.007 1
 
< 0.1%
0.005 4
 
0.1%
0.004 1
 
< 0.1%
0.002 3
 
0.1%
0.001 9
 
0.2%
0.0 194
3.7%

황화수소 최소(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)3.7%
Missing5069
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean0.00022325581
Minimum0
Maximum0.008
Zeros204
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:46.633625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.0003
Maximum0.008
Range0.008
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0011133928
Coefficient of variation (CV)4.987072
Kurtosis32.041952
Mean0.00022325581
Median Absolute Deviation (MAD)0
Skewness5.5770063
Sum0.048
Variance1.2396436 × 10-6
MonotonicityNot monotonic
2024-05-11T09:15:47.187607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 204
 
3.9%
0.004 3
 
0.1%
0.008 2
 
< 0.1%
0.001 2
 
< 0.1%
0.002 1
 
< 0.1%
0.006 1
 
< 0.1%
0.003 1
 
< 0.1%
0.007 1
 
< 0.1%
(Missing) 5069
95.9%
ValueCountFrequency (%)
0.0 204
3.9%
0.001 2
 
< 0.1%
0.002 1
 
< 0.1%
0.003 1
 
< 0.1%
0.004 3
 
0.1%
0.006 1
 
< 0.1%
0.007 1
 
< 0.1%
0.008 2
 
< 0.1%
ValueCountFrequency (%)
0.008 2
 
< 0.1%
0.007 1
 
< 0.1%
0.006 1
 
< 0.1%
0.004 3
 
0.1%
0.003 1
 
< 0.1%
0.002 1
 
< 0.1%
0.001 2
 
< 0.1%
0.0 204
3.9%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)41.0%
Missing5167
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.37920513
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:47.684855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.031
median0.037
Q30.306
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.275

Descriptive statistics

Standard deviation0.70183311
Coefficient of variation (CV)1.8508007
Kurtosis1.6133686
Mean0.37920513
Median Absolute Deviation (MAD)0.01
Skewness1.8577166
Sum44.367
Variance0.49256972
MonotonicityNot monotonic
2024-05-11T09:15:48.433134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.035 8
 
0.2%
0.032 7
 
0.1%
0.028 5
 
0.1%
0.042 5
 
0.1%
0.0 5
 
0.1%
0.045 4
 
0.1%
0.031 4
 
0.1%
0.036 4
 
0.1%
0.034 4
 
0.1%
Other values (38) 53
 
1.0%
(Missing) 5167
97.8%
ValueCountFrequency (%)
0.0 5
0.1%
0.002 3
0.1%
0.003 1
 
< 0.1%
0.02 1
 
< 0.1%
0.021 1
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 1
 
< 0.1%
0.025 3
0.1%
0.026 1
 
< 0.1%
ValueCountFrequency (%)
2.0 18
0.3%
0.361 1
 
< 0.1%
0.36 1
 
< 0.1%
0.354 1
 
< 0.1%
0.341 2
 
< 0.1%
0.338 2
 
< 0.1%
0.332 1
 
< 0.1%
0.33 1
 
< 0.1%
0.329 1
 
< 0.1%
0.319 1
 
< 0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)38.5%
Missing5167
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.37712821
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:49.291416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.03
median0.036
Q30.302
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.272

Descriptive statistics

Standard deviation0.70241023
Coefficient of variation (CV)1.8625237
Kurtosis1.6214069
Mean0.37712821
Median Absolute Deviation (MAD)0.01
Skewness1.8610816
Sum44.124
Variance0.49338013
MonotonicityNot monotonic
2024-05-11T09:15:49.990035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.033 6
 
0.1%
0.034 6
 
0.1%
0.031 5
 
0.1%
0.03 5
 
0.1%
0.0 5
 
0.1%
0.035 4
 
0.1%
0.027 4
 
0.1%
0.04 4
 
0.1%
0.002 4
 
0.1%
Other values (35) 56
 
1.1%
(Missing) 5167
97.8%
ValueCountFrequency (%)
0.0 5
0.1%
0.002 4
0.1%
0.02 1
 
< 0.1%
0.021 2
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 3
0.1%
0.025 2
 
< 0.1%
0.026 4
0.1%
0.027 4
0.1%
ValueCountFrequency (%)
2.0 18
0.3%
0.35 1
 
< 0.1%
0.348 1
 
< 0.1%
0.344 1
 
< 0.1%
0.337 1
 
< 0.1%
0.332 1
 
< 0.1%
0.327 2
 
< 0.1%
0.325 2
 
< 0.1%
0.317 1
 
< 0.1%
0.316 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)37.6%
Missing5167
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.37531624
Minimum0
Maximum2
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size46.6 KiB
2024-05-11T09:15:50.763753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.027
median0.034
Q30.299
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.272

Descriptive statistics

Standard deviation0.70292482
Coefficient of variation (CV)1.8728868
Kurtosis1.628144
Mean0.37531624
Median Absolute Deviation (MAD)0.009
Skewness1.8639009
Sum43.912
Variance0.4941033
MonotonicityNot monotonic
2024-05-11T09:15:51.789710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.032 7
 
0.1%
0.029 7
 
0.1%
0.025 5
 
0.1%
0.033 5
 
0.1%
0.034 5
 
0.1%
0.04 5
 
0.1%
0.0 5
 
0.1%
0.001 4
 
0.1%
0.031 3
 
0.1%
Other values (34) 53
 
1.0%
(Missing) 5167
97.8%
ValueCountFrequency (%)
0.0 5
0.1%
0.001 4
0.1%
0.02 2
 
< 0.1%
0.021 3
0.1%
0.022 1
 
< 0.1%
0.023 3
0.1%
0.024 2
 
< 0.1%
0.025 5
0.1%
0.026 3
0.1%
0.027 2
 
< 0.1%
ValueCountFrequency (%)
2.0 18
0.3%
0.346 1
 
< 0.1%
0.334 1
 
< 0.1%
0.333 1
 
< 0.1%
0.329 1
 
< 0.1%
0.324 1
 
< 0.1%
0.323 1
 
< 0.1%
0.319 2
 
< 0.1%
0.316 1
 
< 0.1%
0.312 1
 
< 0.1%

등록일시
Date

Distinct306
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
Minimum2024-01-15 00:07:21
Maximum2024-01-15 06:07:35
2024-05-11T09:15:52.475356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:15:52.922412image/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
0SDOT001V02Q19402542024-01-15_12:07:00residential_areaJungnang-guSinnae2-dong191714201815-0.9-1.2-1.6727271<NA><NA><NA><NA><NA><NA>0000.00.00.04544430.030.020.020.10.10.091.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:21
1SDOT001V02Q23000042024-01-15_12:07:00main_streetEunpyeong-guBulgwang2-dong121110181715-4.2-4.5-4.8666463<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>2024-01-15 00:07:21
2SDOT001V02Q19402352024-01-15_12:07:00residential_areaJungnang-guMuk2-dong1915122016130.40.30.1656462<NA><NA><NA><NA><NA><NA>0000.00.00.05251500.040.030.030.080.070.061.021.011.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
3SDOT001V02Q19403112024-01-15_12:07:00residential_areaJungnang-guJunghwa1-dong3832274135290.3-0.1-0.5666563<NA><NA><NA><NA><NA><NA>0000.00.00.04946450.020.020.020.020.020.011.041.031.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
4SDOT001OC3CL2002022024-01-15_12:07:00industrial_areaJungnang-guJunghwa2-dong232117242218-1.1-1.4-1.71009893<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>545352<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>2024-01-15 00:07:22
5SDOT001OC3CL2002032024-01-15_12:07:00roads_and_parksJungnang-guMangubon-dong211714231915-1.8-2.2-2.8100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>656054<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>2024-01-15 00:07:22
6SDOT001OC3CL2103002024-01-15_12:07:00residential_areaJungnang-guSeongnae1-dong14107201511-1.8-2.1-2.5898578<NA><NA><NA><NA><NA><NA>1818170.00.00.06763600.020.020.010.090.080.081.031.031.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
7SDOT001V02Q19402332024-01-15_12:07:00residential_areaJungnang-guMuk1-dong141210151311-0.5-0.7-0.9716866<NA><NA><NA><NA><NA><NA>3534310.00.00.04341390.020.010.010.090.080.081.061.051.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
8SDOT001V02Q19409442024-01-15_12:07:00traditional_marketsJungnang-guMuk2-dong3081199339131100.90.60.4636260<NA><NA><NA><NA><NA><NA>0000.00.00.04742400.010.010.010.150.150.141.021.011.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
9SDOT001V02Q19401722024-01-15_12:07:00roads_and_parksJungnang-guMyeonmok4-dong383327403529-0.6-0.9-1.1736966<NA><NA><NA><NA><NA><NA>2220.00.00.04038370.060.060.060.150.150.151.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 00:07:22
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
5274SDOT001V02Q19406852024-01-15_06:07:00residential_areaGwanak-guMiseong-dong211322-3.1-3.1-3.2525151<NA><NA><NA><NA><NA><NA>0000.00.00.04846440.010.010.010.030.020.021.031.031.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5275SDOT001V02Q19406822024-01-15_06:07:00residential_areaGwanak-guSamseong-dong222333-5.5-5.6-5.8636261<NA><NA><NA><NA><NA><NA>0000.00.00.04846440.020.020.010.090.080.081.091.081.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5276SDOT001V02Q19406772024-01-15_06:07:00residential_areaGwanak-guJowon-dong544655-3.6-3.8-4.0525049<NA><NA><NA><NA><NA><NA>0000.00.00.05046430.020.020.010.030.030.021.00.990.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5277SDOT001V02Q19407032024-01-15_06:07:00residential_areaGwanak-guMiseong-dong211322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9990.00.00.0<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>2024-01-15 06:07:35
5278SDOT001V02Q19406732024-01-15_06:07:00residential_areaGwanak-guSinsa-dong433544-3.0-3.3-3.4525150<NA><NA><NA><NA><NA><NA>0000.00.00.05245430.020.020.020.120.110.111.01.00.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5279SDOT001V02Q19402692024-01-15_06:07:00residential_areaGwanak-guSamseong-dong443554-3.6-3.8-4.0575656<NA><NA><NA><NA><NA><NA>0000.00.00.05551440.030.030.020.050.040.041.021.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5280SDOT001V02Q19405492024-01-15_06:07:00residential_areaGwanak-guNangok-dong000100010001000-2.6-2.7-2.9545353<NA><NA><NA><NA><NA><NA>0000.00.00.04736350.010.010.010.030.030.021.051.051.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5281SDOT001V02Q19410002024-01-15_06:07:00residential_areaGwanak-guSinllim-dong111222-3.3-3.5-3.6555453<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>2024-01-15 06:07:35
5282SDOT001V02Q19406332024-01-15_06:07:00residential_areaGwanak-guDaehak-dong211322-3.8-3.9-4.0565555<NA><NA><NA><NA><NA><NA>0000.00.00.05652480.020.010.010.050.050.041.131.131.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35
5283SDOT001V02Q19407012024-01-15_06:07:00residential_areaGwanak-guMiseong-dong9771088-2.4-2.6-2.8525150<NA><NA><NA><NA><NA><NA>0000.00.00.05247450.060.060.060.10.10.11.031.021.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-15 06:07:35