Overview

Dataset statistics

Number of variables64
Number of observations10000
Missing cells247890
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 MiB
Average record size in memory577.0 B

Variable types

Categorical9
Text2
Numeric49
Unsupported3
DateTime1

Dataset

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

Alerts

모델번호 has constant value ""Constant
이산화황 평균(ppm) is highly imbalanced (83.9%)Imbalance
이산화황 최소(ppm) is highly imbalanced (82.0%)Imbalance
암모니아 최대(ppm) is highly imbalanced (74.2%)Imbalance
암모니아 평균(ppm) is highly imbalanced (74.2%)Imbalance
암모니아 최소(ppm) is highly imbalanced (74.2%)Imbalance
온도 최대(℃) has 480 (4.8%) missing valuesMissing
온도 평균(℃) has 480 (4.8%) missing valuesMissing
온도 최소(℃) has 480 (4.8%) missing valuesMissing
습도 최대(%) has 480 (4.8%) missing valuesMissing
습도 평균(%) has 480 (4.8%) missing valuesMissing
습도 최소(%) has 480 (4.8%) missing valuesMissing
풍속 최대(m/s) has 9505 (95.0%) missing valuesMissing
풍속 평균(m/s) has 9506 (95.1%) missing valuesMissing
풍속 최소(m/s) has 9506 (95.1%) missing valuesMissing
풍향 최대(m/s) has 9506 (95.1%) missing valuesMissing
풍향 평균(m/s) has 9506 (95.1%) missing valuesMissing
풍향 최소(m/s) has 9506 (95.1%) missing valuesMissing
조도 최대(lux) has 2195 (21.9%) missing valuesMissing
조도 평균(lux) has 2195 (21.9%) missing valuesMissing
조도 최소(lux) has 2195 (21.9%) missing valuesMissing
자외선 최대(UV) has 2073 (20.7%) missing valuesMissing
자외선 평균(UV) has 2073 (20.7%) missing valuesMissing
자외선 최대(UV).1 has 2073 (20.7%) missing valuesMissing
소음 최대(dB) has 303 (3.0%) missing valuesMissing
소음 평균(dB) has 303 (3.0%) missing valuesMissing
소음 최소(dB) has 303 (3.0%) missing valuesMissing
진동(x) 최대(mm/s) has 2251 (22.5%) missing valuesMissing
진동(x) 평균(mm/s) has 2251 (22.5%) missing valuesMissing
진동(x) 최소(mm/s) has 2251 (22.5%) missing valuesMissing
진동(y) 최대(mm/s) has 2251 (22.5%) missing valuesMissing
진동(y) 평균(mm/s) has 2251 (22.5%) missing valuesMissing
진동(y) 최소(mm/s) has 2251 (22.5%) missing valuesMissing
진동(z) 최대(mm/s) has 2251 (22.5%) missing valuesMissing
진동(z) 평균(mm/s) has 2251 (22.5%) missing valuesMissing
진동(z) 최소(mm/s) has 2251 (22.5%) missing valuesMissing
흑구온도 최대(℃) has 10000 (100.0%) missing valuesMissing
흑구온도 평균(℃) has 10000 (100.0%) missing valuesMissing
흑구온도 최소(℃) has 10000 (100.0%) missing valuesMissing
이산화질소 최대(ppm) has 9390 (93.9%) missing valuesMissing
이산화질소 평균(ppm) has 9390 (93.9%) missing valuesMissing
이산화질소 최소(ppm) has 9390 (93.9%) missing valuesMissing
일산화탄소 최대(ppm) has 9390 (93.9%) missing valuesMissing
일산화탄소 평균(ppm) has 9390 (93.9%) missing valuesMissing
일산화탄소 최소(ppm) has 9390 (93.9%) missing valuesMissing
이산화황 최대(ppm) has 9390 (93.9%) missing valuesMissing
황화수소 최대(ppm) has 9566 (95.7%) missing valuesMissing
황화수소 평균(ppm) has 9566 (95.7%) missing valuesMissing
황화수소 최소(ppm) has 9566 (95.7%) missing valuesMissing
오존 최대(ppm) has 9762 (97.6%) missing valuesMissing
오존 평균(ppm) has 9762 (97.6%) missing valuesMissing
오존 최소(ppm) has 9762 (97.6%) missing valuesMissing
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 28.82972262)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 29.63733979)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 319 (3.2%) zerosZeros
초미세먼지 평균(㎍/㎥) has 320 (3.2%) zerosZeros
초미세먼지 최소(㎍/㎥) has 331 (3.3%) zerosZeros
온도 최대(℃) has 205 (2.1%) zerosZeros
온도 평균(℃) has 220 (2.2%) zerosZeros
온도 최소(℃) has 234 (2.3%) zerosZeros
조도 최대(lux) has 3810 (38.1%) zerosZeros
조도 평균(lux) has 3887 (38.9%) zerosZeros
조도 최소(lux) has 4222 (42.2%) zerosZeros
자외선 최대(UV) has 6217 (62.2%) zerosZeros
자외선 평균(UV) has 6380 (63.8%) zerosZeros
자외선 최대(UV).1 has 6604 (66.0%) zerosZeros
진동(x) 최소(mm/s) has 317 (3.2%) zerosZeros
황화수소 최대(ppm) has 363 (3.6%) zerosZeros
황화수소 평균(ppm) has 378 (3.8%) zerosZeros
황화수소 최소(ppm) has 396 (4.0%) zerosZeros

Reproduction

Analysis started2024-05-11 09:13:29.007628
Analysis finished2024-05-11 09:13:30.855012
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모델번호
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SDOT001 10000
100.0%

Length

2024-05-11T09:13:31.342345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:13:31.818655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 10000
100.0%

시리얼
Text

Distinct1033
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:13:33.080675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

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

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowOC3CL200051
2nd rowV02Q1940114
3rd rowOC3CL200148
4th rowOC3CL200213
5th rowV02Q1940259
ValueCountFrequency (%)
oc3cl200180 18
 
0.2%
v02q2300003 18
 
0.2%
v02q1940805 17
 
0.2%
v02q1940343 17
 
0.2%
v02q1940729 17
 
0.2%
v02q1940436 17
 
0.2%
oc3cl200044 16
 
0.2%
oc3cl210115 16
 
0.2%
oc3cl200079 16
 
0.2%
v02q1940841 16
 
0.2%
Other values (1023) 9832
98.3%
2024-05-11T09:13:35.246842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23415
21.3%
2 13420
12.2%
1 11573
10.5%
4 10372
9.4%
9 9266
 
8.4%
V 7376
 
6.7%
Q 7376
 
6.7%
3 5502
 
5.0%
C 5180
 
4.7%
7 2898
 
2.6%
Other values (6) 13622
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84752
77.0%
Uppercase Letter 25248
 
23.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23415
27.6%
2 13420
15.8%
1 11573
13.7%
4 10372
12.2%
9 9266
 
10.9%
3 5502
 
6.5%
7 2898
 
3.4%
5 2870
 
3.4%
6 2747
 
3.2%
8 2689
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
V 7376
29.2%
Q 7376
29.2%
C 5180
20.5%
O 2624
 
10.4%
L 2624
 
10.4%
D 68
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 84752
77.0%
Latin 25248
 
23.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23415
27.6%
2 13420
15.8%
1 11573
13.7%
4 10372
12.2%
9 9266
 
10.9%
3 5502
 
6.5%
7 2898
 
3.4%
5 2870
 
3.4%
6 2747
 
3.2%
8 2689
 
3.2%
Latin
ValueCountFrequency (%)
V 7376
29.2%
Q 7376
29.2%
C 5180
20.5%
O 2624
 
10.4%
L 2624
 
10.4%
D 68
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23415
21.3%
2 13420
12.2%
1 11573
10.5%
4 10372
9.4%
9 9266
 
8.4%
V 7376
 
6.7%
Q 7376
 
6.7%
3 5502
 
5.0%
C 5180
 
4.7%
7 2898
 
2.6%
Other values (6) 13622
12.4%

측정시간
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-08_09:07:00
678 
2024-01-08_08:07:00
 
662
2024-01-08_11:07:00
 
653
2024-01-08_06:07:00
 
652
2024-01-08_01:07:00
 
648
Other values (16)
6707 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-08_04:07:00
2nd row2024-01-08_05:07:00
3rd row2024-01-09_03:07:00
4th row2024-01-08_01:07:00
5th row2024-01-08_05:07:00

Common Values

ValueCountFrequency (%)
2024-01-08_09:07:00 678
 
6.8%
2024-01-08_08:07:00 662
 
6.6%
2024-01-08_11:07:00 653
 
6.5%
2024-01-08_06:07:00 652
 
6.5%
2024-01-08_01:07:00 648
 
6.5%
2024-01-08_07:07:00 647
 
6.5%
2024-01-08_05:07:00 647
 
6.5%
2024-01-08_12:07:00 639
 
6.4%
2024-01-08_04:07:00 634
 
6.3%
2024-01-08_03:07:00 628
 
6.3%
Other values (11) 3512
35.1%

Length

2024-05-11T09:13:35.684818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-01-08_09:07:00 678
 
6.8%
2024-01-08_08:07:00 662
 
6.6%
2024-01-08_11:07:00 653
 
6.5%
2024-01-08_06:07:00 652
 
6.5%
2024-01-08_01:07:00 648
 
6.5%
2024-01-08_07:07:00 647
 
6.5%
2024-01-08_05:07:00 647
 
6.5%
2024-01-08_12:07:00 639
 
6.4%
2024-01-08_04:07:00 634
 
6.3%
2024-01-08_03:07:00 628
 
6.3%
Other values (11) 3512
35.1%

지역
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
residential_area
7002 
roads_and_parks
1258 
traditional_markets
 
449
main_street
 
431
industrial_area
 
398
Other values (3)
 
462

Length

Max length19
Median length16
Mean length15.6244
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
residential_area 7002
70.0%
roads_and_parks 1258
 
12.6%
traditional_markets 449
 
4.5%
main_street 431
 
4.3%
industrial_area 398
 
4.0%
commercial_area 313
 
3.1%
parks 94
 
0.9%
public_facilities 55
 
0.5%

Length

2024-05-11T09:13:36.067455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:13:36.599286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 7002
70.0%
roads_and_parks 1258
 
12.6%
traditional_markets 449
 
4.5%
main_street 431
 
4.3%
industrial_area 398
 
4.0%
commercial_area 313
 
3.1%
parks 94
 
0.9%
public_facilities 55
 
0.5%

자치구
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Yangcheon-gu
789 
Gangdong-gu
765 
Mapo-gu
702 
Seongdong-gu
681 
Gwanak-gu
647 
Other values (21)
6416 

Length

Max length16
Median length13
Mean length10.1399
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDobong-gu
2nd rowGangseo-gu
3rd rowSeodaemun-gu
4th rowNowon-gu
5th rowYangcheon-gu

Common Values

ValueCountFrequency (%)
Yangcheon-gu 789
 
7.9%
Gangdong-gu 765
 
7.6%
Mapo-gu 702
 
7.0%
Seongdong-gu 681
 
6.8%
Gwanak-gu 647
 
6.5%
Jongno-gu 515
 
5.1%
Gangseo-gu 437
 
4.4%
Jung-gu 418
 
4.2%
Songpa-gu 404
 
4.0%
Dobong-gu 396
 
4.0%
Other values (16) 4246
42.5%

Length

2024-05-11T09:13:37.052679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 789
 
7.9%
gangdong-gu 765
 
7.6%
mapo-gu 702
 
7.0%
seongdong-gu 681
 
6.8%
gwanak-gu 647
 
6.5%
jongno-gu 515
 
5.1%
gangseo-gu 437
 
4.4%
jung-gu 418
 
4.2%
songpa-gu 404
 
4.0%
dobong-gu 396
 
4.0%
Other values (16) 4246
42.5%

행정동
Text

Distinct402
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T09:13:37.678177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.5309
Min length7

Characters and Unicode

Total characters125309
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 rowSsangmun3-dong
2nd rowGayang-dong1
3rd rowHongeun2-dong
4th rowSanggye1-dong
5th rowMok4-dong
ValueCountFrequency (%)
amsa1-dong 118
 
1.2%
cheonho2-dong 117
 
1.2%
mangwon-dong1 102
 
1.0%
mok5-dong 96
 
1.0%
sinjeong3-dong 88
 
0.9%
seongsan-dong2 88
 
0.9%
yeomchang-dong 78
 
0.8%
sinllim-dong 78
 
0.8%
seongsu1ga1-dong 75
 
0.8%
cheonho1-dong 73
 
0.7%
Other values (392) 9087
90.9%
2024-05-11T09:13:38.904393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 20559
16.4%
o 17561
14.0%
g 17423
13.9%
- 10701
 
8.5%
d 10616
 
8.5%
a 7116
 
5.7%
e 5142
 
4.1%
S 2867
 
2.3%
i 2537
 
2.0%
h 2473
 
2.0%
Other values (42) 28314
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 97273
77.6%
Dash Punctuation 10701
 
8.5%
Uppercase Letter 10039
 
8.0%
Decimal Number 6919
 
5.5%
Other Punctuation 356
 
0.3%
Connector Punctuation 21
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 20559
21.1%
o 17561
18.1%
g 17423
17.9%
d 10616
10.9%
a 7116
 
7.3%
e 5142
 
5.3%
i 2537
 
2.6%
h 2473
 
2.5%
u 2340
 
2.4%
m 1568
 
1.6%
Other values (12) 9938
10.2%
Uppercase Letter
ValueCountFrequency (%)
S 2867
28.6%
G 1031
 
10.3%
M 888
 
8.8%
J 812
 
8.1%
B 767
 
7.6%
H 668
 
6.7%
C 638
 
6.4%
D 634
 
6.3%
Y 568
 
5.7%
I 317
 
3.2%
Other values (7) 849
 
8.5%
Decimal Number
ValueCountFrequency (%)
1 2414
34.9%
2 2168
31.3%
3 1089
15.7%
4 603
 
8.7%
5 260
 
3.8%
7 170
 
2.5%
6 154
 
2.2%
8 41
 
0.6%
0 11
 
0.2%
9 9
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10701
100.0%
Other Punctuation
ValueCountFrequency (%)
. 356
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 107312
85.6%
Common 17997
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 20559
19.2%
o 17561
16.4%
g 17423
16.2%
d 10616
9.9%
a 7116
 
6.6%
e 5142
 
4.8%
S 2867
 
2.7%
i 2537
 
2.4%
h 2473
 
2.3%
u 2340
 
2.2%
Other values (29) 18678
17.4%
Common
ValueCountFrequency (%)
- 10701
59.5%
1 2414
 
13.4%
2 2168
 
12.0%
3 1089
 
6.1%
4 603
 
3.4%
. 356
 
2.0%
5 260
 
1.4%
7 170
 
0.9%
6 154
 
0.9%
8 41
 
0.2%
Other values (3) 41
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 20559
16.4%
o 17561
14.0%
g 17423
13.9%
- 10701
 
8.5%
d 10616
 
8.5%
a 7116
 
5.7%
e 5142
 
4.1%
S 2867
 
2.3%
i 2537
 
2.0%
h 2473
 
2.0%
Other values (42) 28314
22.6%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)1.3%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean9.8114952
Minimum0
Maximum1000
Zeros319
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:39.485391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median6
Q39
95-th percentile18
Maximum1000
Range1000
Interquartile range (IQR)6

Descriptive statistics

Standard deviation43.414132
Coefficient of variation (CV)4.4248233
Kurtosis402.44912
Mean9.8114952
Median Absolute Deviation (MAD)3
Skewness18.956766
Sum97644
Variance1884.7869
MonotonicityNot monotonic
2024-05-11T09:13:40.128232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1793
17.9%
6 1070
10.7%
7 999
10.0%
5 996
10.0%
8 797
8.0%
4 754
7.5%
9 589
 
5.9%
3 529
 
5.3%
10 433
 
4.3%
11 332
 
3.3%
Other values (122) 1660
16.6%
ValueCountFrequency (%)
0 319
 
3.2%
1 109
 
1.1%
2 1793
17.9%
3 529
 
5.3%
4 754
7.5%
5 996
10.0%
6 1070
10.7%
7 999
10.0%
8 797
8.0%
9 589
 
5.9%
ValueCountFrequency (%)
1000 14
0.1%
681 1
 
< 0.1%
596 1
 
< 0.1%
580 1
 
< 0.1%
547 1
 
< 0.1%
474 1
 
< 0.1%
468 1
 
< 0.1%
464 1
 
< 0.1%
446 1
 
< 0.1%
423 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct54
Distinct (%)0.5%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean6.5821945
Minimum0
Maximum1000
Zeros320
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:40.595257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q37
95-th percentile12
Maximum1000
Range1000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation33.529102
Coefficient of variation (CV)5.0939093
Kurtosis849.78546
Mean6.5821945
Median Absolute Deviation (MAD)2
Skewness28.829723
Sum65506
Variance1124.2007
MonotonicityNot monotonic
2024-05-11T09:13:41.285224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1426
14.3%
5 1282
12.8%
6 1193
11.9%
4 1098
11.0%
7 967
9.7%
2 761
7.6%
3 711
7.1%
8 665
6.7%
9 443
 
4.4%
0 320
 
3.2%
Other values (44) 1086
10.9%
ValueCountFrequency (%)
0 320
 
3.2%
1 1426
14.3%
2 761
7.6%
3 711
7.1%
4 1098
11.0%
5 1282
12.8%
6 1193
11.9%
7 967
9.7%
8 665
6.7%
9 443
 
4.4%
ValueCountFrequency (%)
1000 11
0.1%
255 1
 
< 0.1%
172 1
 
< 0.1%
122 1
 
< 0.1%
110 1
 
< 0.1%
108 1
 
< 0.1%
105 1
 
< 0.1%
102 1
 
< 0.1%
84 1
 
< 0.1%
68 1
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)0.3%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.6178658
Minimum0
Maximum1000
Zeros331
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:41.787593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile10
Maximum1000
Range1000
Interquartile range (IQR)4

Descriptive statistics

Standard deviation33.225984
Coefficient of variation (CV)5.9143428
Kurtosis884.33867
Mean5.6178658
Median Absolute Deviation (MAD)2
Skewness29.63734
Sum55909
Variance1103.966
MonotonicityNot monotonic
2024-05-11T09:13:42.179789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1933
19.3%
5 1393
13.9%
4 1355
13.6%
6 1085
10.8%
3 967
9.7%
7 781
7.8%
2 646
 
6.5%
8 512
 
5.1%
0 331
 
3.3%
9 323
 
3.2%
Other values (16) 626
 
6.3%
ValueCountFrequency (%)
0 331
 
3.3%
1 1933
19.3%
2 646
 
6.5%
3 967
9.7%
4 1355
13.6%
5 1393
13.9%
6 1085
10.8%
7 781
7.8%
8 512
 
5.1%
9 323
 
3.2%
ValueCountFrequency (%)
1000 11
0.1%
27 2
 
< 0.1%
26 1
 
< 0.1%
25 3
 
< 0.1%
21 2
 
< 0.1%
20 6
 
0.1%
19 7
 
0.1%
18 9
0.1%
17 6
 
0.1%
16 21
0.2%

미세먼지 최대(㎍/㎥)
Real number (ℝ)

Distinct138
Distinct (%)1.4%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean40.292906
Minimum0
Maximum1000
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:42.700370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile33
Maximum1000
Range1000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation172.12957
Coefficient of variation (CV)4.2719573
Kurtosis26.655042
Mean40.292906
Median Absolute Deviation (MAD)3
Skewness5.3285821
Sum400995
Variance29628.59
MonotonicityNot monotonic
2024-05-11T09:13:43.276703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1783
17.8%
7 1073
10.7%
8 946
9.5%
6 939
9.4%
5 780
7.8%
9 771
7.7%
10 588
 
5.9%
4 520
 
5.2%
11 421
 
4.2%
12 315
 
3.1%
Other values (128) 1816
18.2%
ValueCountFrequency (%)
0 29
 
0.3%
1 14
 
0.1%
2 102
 
1.0%
3 1783
17.8%
4 520
 
5.2%
5 780
7.8%
6 939
9.4%
7 1073
10.7%
8 946
9.5%
9 771
7.7%
ValueCountFrequency (%)
1000 304
3.0%
749 1
 
< 0.1%
655 1
 
< 0.1%
638 1
 
< 0.1%
601 1
 
< 0.1%
520 1
 
< 0.1%
515 1
 
< 0.1%
510 1
 
< 0.1%
488 1
 
< 0.1%
465 1
 
< 0.1%

미세먼지 평균(㎍/㎥)
Real number (ℝ)

Distinct59
Distinct (%)0.6%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.008742
Minimum0
Maximum1000
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:43.855353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile17
Maximum1000
Range1000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation170.68222
Coefficient of variation (CV)4.6119433
Kurtosis27.796582
Mean37.008742
Median Absolute Deviation (MAD)2
Skewness5.4538459
Sum368311
Variance29132.421
MonotonicityNot monotonic
2024-05-11T09:13:44.375981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1404
14.0%
6 1232
12.3%
7 1164
11.6%
5 1118
11.2%
8 926
9.3%
3 760
7.6%
4 717
7.2%
9 651
6.5%
10 452
 
4.5%
11 307
 
3.1%
Other values (49) 1221
12.2%
ValueCountFrequency (%)
0 29
 
0.3%
1 23
 
0.2%
2 1404
14.0%
3 760
7.6%
4 717
7.2%
5 1118
11.2%
6 1232
12.3%
7 1164
11.6%
8 926
9.3%
9 651
6.5%
ValueCountFrequency (%)
1000 302
3.0%
635 1
 
< 0.1%
576 1
 
< 0.1%
280 1
 
< 0.1%
189 1
 
< 0.1%
133 1
 
< 0.1%
121 1
 
< 0.1%
119 1
 
< 0.1%
115 1
 
< 0.1%
112 1
 
< 0.1%

미세먼지 최소(㎍/㎥)
Real number (ℝ)

Distinct28
Distinct (%)0.3%
Missing48
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean35.890273
Minimum0
Maximum1000
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:44.901989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median6
Q38
95-th percentile14
Maximum1000
Range1000
Interquartile range (IQR)5

Descriptive statistics

Standard deviation170.59346
Coefficient of variation (CV)4.7531948
Kurtosis27.978464
Mean35.890273
Median Absolute Deviation (MAD)2
Skewness5.4736928
Sum357180
Variance29102.129
MonotonicityNot monotonic
2024-05-11T09:13:45.546310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 1925
19.2%
5 1369
13.7%
6 1335
13.4%
7 1070
10.7%
4 964
9.6%
8 746
 
7.5%
3 644
 
6.4%
9 520
 
5.2%
10 344
 
3.4%
1000 302
 
3.0%
Other values (18) 733
 
7.3%
ValueCountFrequency (%)
0 35
 
0.4%
1 17
 
0.2%
2 1925
19.2%
3 644
 
6.4%
4 964
9.6%
5 1369
13.7%
6 1335
13.4%
7 1070
10.7%
8 746
 
7.5%
9 520
 
5.2%
ValueCountFrequency (%)
1000 302
3.0%
29 1
 
< 0.1%
28 2
 
< 0.1%
27 3
 
< 0.1%
23 2
 
< 0.1%
22 4
 
< 0.1%
21 6
 
0.1%
20 11
 
0.1%
19 13
 
0.1%
18 14
 
0.1%

온도 최대(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct195
Distinct (%)2.0%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean-2.8313025
Minimum-40
Maximum13.9
Zeros205
Zeros (%)2.1%
Negative5713
Negative (%)57.1%
Memory size166.0 KiB
2024-05-11T09:13:46.048648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-8.4
Q1-5.8
median-0.7
Q30.6
95-th percentile1.9
Maximum13.9
Range53.9
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation6.2100312
Coefficient of variation (CV)-2.1933478
Kurtosis21.490637
Mean-2.8313025
Median Absolute Deviation (MAD)1.9
Skewness-4.0489142
Sum-26954
Variance38.564487
MonotonicityNot monotonic
2024-05-11T09:13:46.670222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 248
 
2.5%
0.4 248
 
2.5%
0.6 233
 
2.3%
0.5 230
 
2.3%
0.2 227
 
2.3%
0.7 216
 
2.2%
0.0 205
 
2.1%
0.1 203
 
2.0%
-0.1 195
 
1.9%
0.8 194
 
1.9%
Other values (185) 7321
73.2%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
-40.0 180
1.8%
-20.5 1
 
< 0.1%
-20.1 1
 
< 0.1%
-20.0 1
 
< 0.1%
-17.8 1
 
< 0.1%
-14.6 1
 
< 0.1%
-14.4 1
 
< 0.1%
-14.0 1
 
< 0.1%
-13.8 2
 
< 0.1%
-13.5 1
 
< 0.1%
ValueCountFrequency (%)
13.9 1
 
< 0.1%
8.1 1
 
< 0.1%
7.6 1
 
< 0.1%
7.5 1
 
< 0.1%
7.2 2
< 0.1%
6.6 1
 
< 0.1%
5.5 1
 
< 0.1%
5.3 1
 
< 0.1%
5.2 1
 
< 0.1%
5.1 3
< 0.1%

온도 평균(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct189
Distinct (%)2.0%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean-3.1798634
Minimum-40
Maximum11.6
Zeros220
Zeros (%)2.2%
Negative6336
Negative (%)63.4%
Memory size166.0 KiB
2024-05-11T09:13:47.231477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-8.6
Q1-6.1
median-1
Q30.3
95-th percentile1.4
Maximum11.6
Range51.6
Interquartile range (IQR)6.4

Descriptive statistics

Standard deviation6.1471685
Coefficient of variation (CV)-1.9331549
Kurtosis21.555677
Mean-3.1798634
Median Absolute Deviation (MAD)2
Skewness-4.0578247
Sum-30272.3
Variance37.78768
MonotonicityNot monotonic
2024-05-11T09:13:47.834553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 241
 
2.4%
0.1 239
 
2.4%
0.3 233
 
2.3%
0.4 230
 
2.3%
0.0 220
 
2.2%
-0.2 218
 
2.2%
0.5 216
 
2.2%
-0.1 214
 
2.1%
-0.4 197
 
2.0%
-0.3 189
 
1.9%
Other values (179) 7323
73.2%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
-40.0 180
1.8%
-20.7 1
 
< 0.1%
-20.2 1
 
< 0.1%
-20.1 1
 
< 0.1%
-19.5 1
 
< 0.1%
-14.7 1
 
< 0.1%
-14.5 1
 
< 0.1%
-14.4 1
 
< 0.1%
-14.3 1
 
< 0.1%
-14.0 1
 
< 0.1%
ValueCountFrequency (%)
11.6 1
< 0.1%
7.0 1
< 0.1%
6.5 1
< 0.1%
5.7 1
< 0.1%
5.5 1
< 0.1%
4.8 1
< 0.1%
4.5 2
< 0.1%
4.3 1
< 0.1%
4.1 1
< 0.1%
4.0 1
< 0.1%

온도 최소(℃)
Real number (ℝ)

MISSING  ZEROS 

Distinct181
Distinct (%)1.9%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean-3.5039601
Minimum-40
Maximum9.1
Zeros234
Zeros (%)2.3%
Negative6929
Negative (%)69.3%
Memory size166.0 KiB
2024-05-11T09:13:48.225286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile-8.9
Q1-6.3
median-1.4
Q30
95-th percentile1.2
Maximum9.1
Range49.1
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation6.100665
Coefficient of variation (CV)-1.7410772
Kurtosis21.434286
Mean-3.5039601
Median Absolute Deviation (MAD)2.1
Skewness-4.0389545
Sum-33357.7
Variance37.218113
MonotonicityNot monotonic
2024-05-11T09:13:48.670215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 265
 
2.6%
-0.2 236
 
2.4%
0.0 234
 
2.3%
0.1 223
 
2.2%
-0.3 221
 
2.2%
-0.4 210
 
2.1%
-0.1 210
 
2.1%
0.4 208
 
2.1%
-0.5 199
 
2.0%
0.3 183
 
1.8%
Other values (171) 7331
73.3%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
-40.0 180
1.8%
-21.2 1
 
< 0.1%
-21.0 1
 
< 0.1%
-20.5 1
 
< 0.1%
-20.3 1
 
< 0.1%
-14.9 1
 
< 0.1%
-14.8 1
 
< 0.1%
-14.6 1
 
< 0.1%
-14.5 1
 
< 0.1%
-14.1 1
 
< 0.1%
ValueCountFrequency (%)
9.1 1
 
< 0.1%
4.8 1
 
< 0.1%
4.1 2
< 0.1%
3.8 1
 
< 0.1%
3.6 1
 
< 0.1%
3.4 1
 
< 0.1%
3.3 1
 
< 0.1%
3.2 1
 
< 0.1%
3.1 2
< 0.1%
3.0 4
< 0.1%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)0.8%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean56.163971
Minimum19
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:49.121776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile33
Q151
median55
Q360
95-th percentile86
Maximum100
Range81
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.939083
Coefficient of variation (CV)0.2481855
Kurtosis2.5278765
Mean56.163971
Median Absolute Deviation (MAD)5
Skewness1.000139
Sum534681
Variance194.29804
MonotonicityNot monotonic
2024-05-11T09:13:49.606164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 660
 
6.6%
57 638
 
6.4%
54 611
 
6.1%
55 575
 
5.8%
53 564
 
5.6%
58 475
 
4.8%
52 454
 
4.5%
59 414
 
4.1%
51 353
 
3.5%
100 352
 
3.5%
Other values (70) 4424
44.2%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
19 1
 
< 0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
24 5
 
0.1%
25 8
 
0.1%
26 23
 
0.2%
27 28
 
0.3%
28 39
0.4%
29 64
0.6%
30 75
0.8%
ValueCountFrequency (%)
100 352
3.5%
99 11
 
0.1%
98 9
 
0.1%
97 11
 
0.1%
96 11
 
0.1%
95 8
 
0.1%
94 5
 
0.1%
93 9
 
0.1%
92 9
 
0.1%
91 9
 
0.1%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)0.9%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean54.031828
Minimum17
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:50.176332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile30
Q149
median54
Q358
95-th percentile81.05
Maximum100
Range83
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.197507
Coefficient of variation (CV)0.26276193
Kurtosis2.4995226
Mean54.031828
Median Absolute Deviation (MAD)5
Skewness0.88742818
Sum514383
Variance201.56921
MonotonicityNot monotonic
2024-05-11T09:13:50.636554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 628
 
6.3%
56 613
 
6.1%
55 594
 
5.9%
53 586
 
5.9%
52 527
 
5.3%
57 502
 
5.0%
51 465
 
4.7%
58 408
 
4.1%
50 337
 
3.4%
59 320
 
3.2%
Other values (72) 4540
45.4%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
17 1
 
< 0.1%
19 1
 
< 0.1%
21 1
 
< 0.1%
22 4
 
< 0.1%
23 13
 
0.1%
24 31
 
0.3%
25 39
 
0.4%
26 50
0.5%
27 78
0.8%
28 101
1.0%
ValueCountFrequency (%)
100 291
2.9%
99 8
 
0.1%
98 11
 
0.1%
97 10
 
0.1%
96 11
 
0.1%
95 9
 
0.1%
94 8
 
0.1%
93 6
 
0.1%
92 12
 
0.1%
91 5
 
0.1%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)0.9%
Missing480
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean51.908718
Minimum13
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:51.088009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile27
Q147
median53
Q357
95-th percentile77
Maximum100
Range87
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.613606
Coefficient of variation (CV)0.28152508
Kurtosis2.4091737
Mean51.908718
Median Absolute Deviation (MAD)5
Skewness0.76728202
Sum494171
Variance213.55748
MonotonicityNot monotonic
2024-05-11T09:13:51.561042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 604
 
6.0%
55 595
 
5.9%
52 584
 
5.8%
54 574
 
5.7%
56 528
 
5.3%
51 507
 
5.1%
50 415
 
4.2%
57 402
 
4.0%
49 360
 
3.6%
58 329
 
3.3%
Other values (74) 4622
46.2%
(Missing) 480
 
4.8%
ValueCountFrequency (%)
13 1
 
< 0.1%
18 4
 
< 0.1%
19 8
 
0.1%
20 11
 
0.1%
21 16
 
0.2%
22 32
 
0.3%
23 63
0.6%
24 66
0.7%
25 99
1.0%
26 116
1.2%
ValueCountFrequency (%)
100 281
2.8%
99 3
 
< 0.1%
98 7
 
0.1%
97 4
 
< 0.1%
96 5
 
0.1%
95 1
 
< 0.1%
94 4
 
< 0.1%
93 9
 
0.1%
92 6
 
0.1%
91 3
 
< 0.1%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)7.5%
Missing9505
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean1.3434343
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:51.962012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.6
median1.1
Q31.5
95-th percentile2.63
Maximum11.9
Range11.8
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation1.8037838
Coefficient of variation (CV)1.3426661
Kurtosis24.06212
Mean1.3434343
Median Absolute Deviation (MAD)0.5
Skewness4.7116105
Sum665
Variance3.253636
MonotonicityNot monotonic
2024-05-11T09:13:52.343359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.1 54
 
0.5%
0.9 33
 
0.3%
1.1 31
 
0.3%
1.5 30
 
0.3%
1.3 28
 
0.3%
0.8 27
 
0.3%
1.0 27
 
0.3%
1.4 26
 
0.3%
0.6 25
 
0.2%
1.2 25
 
0.2%
Other values (27) 189
 
1.9%
(Missing) 9505
95.0%
ValueCountFrequency (%)
0.1 54
0.5%
0.2 9
 
0.1%
0.3 21
 
0.2%
0.4 19
 
0.2%
0.5 17
 
0.2%
0.6 25
0.2%
0.7 13
 
0.1%
0.8 27
0.3%
0.9 33
0.3%
1.0 27
0.3%
ValueCountFrequency (%)
11.9 6
0.1%
11.3 2
 
< 0.1%
11.1 5
0.1%
4.2 1
 
< 0.1%
3.8 1
 
< 0.1%
3.5 1
 
< 0.1%
3.4 1
 
< 0.1%
3.3 1
 
< 0.1%
3.1 3
< 0.1%
3.0 1
 
< 0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)5.3%
Missing9506
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean0.7417004
Minimum0.1
Maximum11.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:52.783991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.35
Q30.7
95-th percentile1.5
Maximum11.1
Range11
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.7389238
Coefficient of variation (CV)2.3445097
Kurtosis29.240906
Mean0.7417004
Median Absolute Deviation (MAD)0.25
Skewness5.4197248
Sum366.4
Variance3.0238559
MonotonicityNot monotonic
2024-05-11T09:13:53.237021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.1 143
 
1.4%
0.2 60
 
0.6%
0.3 44
 
0.4%
0.5 41
 
0.4%
0.4 36
 
0.4%
0.7 30
 
0.3%
0.6 30
 
0.3%
0.9 23
 
0.2%
0.8 20
 
0.2%
1.0 13
 
0.1%
Other values (16) 54
 
0.5%
(Missing) 9506
95.1%
ValueCountFrequency (%)
0.1 143
1.4%
0.2 60
0.6%
0.3 44
 
0.4%
0.4 36
 
0.4%
0.5 41
 
0.4%
0.6 30
 
0.3%
0.7 30
 
0.3%
0.8 20
 
0.2%
0.9 23
 
0.2%
1.0 13
 
0.1%
ValueCountFrequency (%)
11.1 2
 
< 0.1%
11.0 8
0.1%
10.9 3
 
< 0.1%
3.0 1
 
< 0.1%
2.5 1
 
< 0.1%
2.4 2
 
< 0.1%
2.3 1
 
< 0.1%
2.0 1
 
< 0.1%
1.9 2
 
< 0.1%
1.8 1
 
< 0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)3.6%
Missing9506
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean0.48279352
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:53.577874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.2
95-th percentile0.9
Maximum10.9
Range10.8
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation1.7196182
Coefficient of variation (CV)3.5618087
Kurtosis32.094758
Mean0.48279352
Median Absolute Deviation (MAD)0
Skewness5.7776044
Sum238.5
Variance2.9570867
MonotonicityNot monotonic
2024-05-11T09:13:53.919250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.1 348
 
3.5%
0.2 31
 
0.3%
0.3 27
 
0.3%
0.4 27
 
0.3%
0.6 11
 
0.1%
0.5 11
 
0.1%
10.8 8
 
0.1%
0.7 6
 
0.1%
0.8 6
 
0.1%
10.9 5
 
0.1%
Other values (8) 14
 
0.1%
(Missing) 9506
95.1%
ValueCountFrequency (%)
0.1 348
3.5%
0.2 31
 
0.3%
0.3 27
 
0.3%
0.4 27
 
0.3%
0.5 11
 
0.1%
0.6 11
 
0.1%
0.7 6
 
0.1%
0.8 6
 
0.1%
0.9 4
 
< 0.1%
1.0 3
 
< 0.1%
ValueCountFrequency (%)
10.9 5
0.1%
10.8 8
0.1%
1.8 1
 
< 0.1%
1.6 1
 
< 0.1%
1.5 1
 
< 0.1%
1.4 2
 
< 0.1%
1.2 1
 
< 0.1%
1.1 1
 
< 0.1%
1.0 3
 
< 0.1%
0.9 4
< 0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct376
Distinct (%)76.1%
Missing9506
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean263.44798
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:54.361976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile32.61
Q1198.05
median316.8
Q3352.475
95-th percentile359.3
Maximum359.9
Range359.8
Interquartile range (IQR)154.425

Descriptive statistics

Standard deviation110.47611
Coefficient of variation (CV)0.41934696
Kurtosis-0.21099425
Mean263.44798
Median Absolute Deviation (MAD)41.3
Skewness-1.0397721
Sum130143.3
Variance12204.971
MonotonicityNot monotonic
2024-05-11T09:13:54.863648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 8
 
0.1%
1.9 8
 
0.1%
359.4 6
 
0.1%
355.7 6
 
0.1%
357.9 5
 
0.1%
359.9 5
 
0.1%
359.0 5
 
0.1%
351.6 4
 
< 0.1%
358.1 4
 
< 0.1%
356.1 4
 
< 0.1%
Other values (366) 439
 
4.4%
(Missing) 9506
95.1%
ValueCountFrequency (%)
0.1 8
0.1%
1.8 4
< 0.1%
1.9 8
0.1%
2.0 1
 
< 0.1%
8.4 1
 
< 0.1%
19.8 1
 
< 0.1%
29.5 1
 
< 0.1%
30.4 1
 
< 0.1%
33.8 1
 
< 0.1%
34.5 1
 
< 0.1%
ValueCountFrequency (%)
359.9 5
0.1%
359.8 3
< 0.1%
359.7 4
< 0.1%
359.6 1
 
< 0.1%
359.5 3
< 0.1%
359.4 6
0.1%
359.3 4
< 0.1%
359.2 3
< 0.1%
359.1 1
 
< 0.1%
359.0 5
0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct249
Distinct (%)50.4%
Missing9506
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean164.66761
Minimum0.1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:55.948450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q161.25
median163
Q3259.75
95-th percentile332.35
Maximum358
Range357.9
Interquartile range (IQR)198.5

Descriptive statistics

Standard deviation109.21045
Coefficient of variation (CV)0.66321754
Kurtosis-1.3306759
Mean164.66761
Median Absolute Deviation (MAD)100
Skewness0.080902326
Sum81345.8
Variance11926.922
MonotonicityNot monotonic
2024-05-11T09:13:56.520146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 14
 
0.1%
41.0 9
 
0.1%
0.1 8
 
0.1%
332.0 5
 
0.1%
42.0 5
 
0.1%
22.0 5
 
0.1%
37.0 5
 
0.1%
24.0 4
 
< 0.1%
217.0 4
 
< 0.1%
287.0 4
 
< 0.1%
Other values (239) 431
 
4.3%
(Missing) 9506
95.1%
ValueCountFrequency (%)
0.1 8
0.1%
1.0 4
 
< 0.1%
2.0 14
0.1%
4.0 2
 
< 0.1%
7.0 2
 
< 0.1%
9.0 1
 
< 0.1%
11.0 2
 
< 0.1%
12.0 1
 
< 0.1%
13.0 1
 
< 0.1%
14.0 2
 
< 0.1%
ValueCountFrequency (%)
358.0 1
< 0.1%
357.0 2
< 0.1%
356.0 1
< 0.1%
355.0 1
< 0.1%
354.0 2
< 0.1%
352.0 1
< 0.1%
349.0 1
< 0.1%
348.0 1
< 0.1%
346.0 1
< 0.1%
345.0 2
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct365
Distinct (%)73.9%
Missing9506
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean69.871457
Minimum0.1
Maximum327.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:57.144380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.765
Q15.95
median26.8
Q3100.875
95-th percentile261.135
Maximum327.1
Range327
Interquartile range (IQR)94.925

Descriptive statistics

Standard deviation85.052864
Coefficient of variation (CV)1.2172762
Kurtosis0.48993949
Mean69.871457
Median Absolute Deviation (MAD)25.3
Skewness1.2906003
Sum34516.5
Variance7233.9897
MonotonicityNot monotonic
2024-05-11T09:13:57.633398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 12
 
0.1%
1.6 9
 
0.1%
1.5 8
 
0.1%
1.8 6
 
0.1%
0.5 5
 
0.1%
1.1 4
 
< 0.1%
1.0 4
 
< 0.1%
8.0 4
 
< 0.1%
3.7 4
 
< 0.1%
2.2 4
 
< 0.1%
Other values (355) 434
 
4.3%
(Missing) 9506
95.1%
ValueCountFrequency (%)
0.1 12
0.1%
0.3 2
 
< 0.1%
0.4 3
 
< 0.1%
0.5 5
0.1%
0.6 1
 
< 0.1%
0.7 2
 
< 0.1%
0.8 2
 
< 0.1%
0.9 3
 
< 0.1%
1.0 4
 
< 0.1%
1.1 4
 
< 0.1%
ValueCountFrequency (%)
327.1 1
< 0.1%
311.9 1
< 0.1%
308.4 1
< 0.1%
306.6 1
< 0.1%
297.5 1
< 0.1%
297.3 1
< 0.1%
296.7 1
< 0.1%
291.4 1
< 0.1%
285.9 1
< 0.1%
285.8 1
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct1954
Distinct (%)25.0%
Missing2195
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean1725.5821
Minimum0
Maximum120000
Zeros3810
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:58.234164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3399
95-th percentile9767
Maximum120000
Range120000
Interquartile range (IQR)399

Descriptive statistics

Standard deviation7542.2557
Coefficient of variation (CV)4.3708473
Kurtosis116.89615
Mean1725.5821
Median Absolute Deviation (MAD)1
Skewness9.973716
Sum13468168
Variance56885621
MonotonicityNot monotonic
2024-05-11T09:13:58.865708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3810
38.1%
1 346
 
3.5%
2 193
 
1.9%
3 128
 
1.3%
4 105
 
1.1%
6 104
 
1.0%
5 60
 
0.6%
8 52
 
0.5%
9 44
 
0.4%
10 39
 
0.4%
Other values (1944) 2924
29.2%
(Missing) 2195
21.9%
ValueCountFrequency (%)
0 3810
38.1%
1 346
 
3.5%
2 193
 
1.9%
3 128
 
1.3%
4 105
 
1.1%
5 60
 
0.6%
6 104
 
1.0%
7 34
 
0.3%
8 52
 
0.5%
9 44
 
0.4%
ValueCountFrequency (%)
120000 1
< 0.1%
99832 1
< 0.1%
99488 1
< 0.1%
99456 1
< 0.1%
99429 1
< 0.1%
98361 1
< 0.1%
98297 1
< 0.1%
98253 1
< 0.1%
97780 1
< 0.1%
97502 1
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct1764
Distinct (%)22.6%
Missing2195
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean1037.4083
Minimum0
Maximum60873
Zeros3887
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:13:59.441133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3152
95-th percentile5754.2
Maximum60873
Range60873
Interquartile range (IQR)152

Descriptive statistics

Standard deviation3715.6599
Coefficient of variation (CV)3.5816754
Kurtosis87.834527
Mean1037.4083
Median Absolute Deviation (MAD)1
Skewness7.9538837
Sum8096972
Variance13806129
MonotonicityNot monotonic
2024-05-11T09:14:00.109951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3887
38.9%
1 296
 
3.0%
2 207
 
2.1%
3 150
 
1.5%
4 124
 
1.2%
6 108
 
1.1%
5 68
 
0.7%
8 61
 
0.6%
9 47
 
0.5%
10 41
 
0.4%
Other values (1754) 2816
28.2%
(Missing) 2195
21.9%
ValueCountFrequency (%)
0 3887
38.9%
1 296
 
3.0%
2 207
 
2.1%
3 150
 
1.5%
4 124
 
1.2%
5 68
 
0.7%
6 108
 
1.1%
7 38
 
0.4%
8 61
 
0.6%
9 47
 
0.5%
ValueCountFrequency (%)
60873 1
< 0.1%
56835 1
< 0.1%
56774 1
< 0.1%
55834 1
< 0.1%
53916 1
< 0.1%
53630 1
< 0.1%
52808 1
< 0.1%
52486 1
< 0.1%
51890 1
< 0.1%
50714 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct1491
Distinct (%)19.1%
Missing2195
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean565.77092
Minimum0
Maximum28714
Zeros4222
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:00.768841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile2877.8
Maximum28714
Range28714
Interquartile range (IQR)36

Descriptive statistics

Standard deviation1905.2536
Coefficient of variation (CV)3.3675354
Kurtosis60.151368
Mean565.77092
Median Absolute Deviation (MAD)0
Skewness6.6782921
Sum4415842
Variance3629991.1
MonotonicityNot monotonic
2024-05-11T09:14:01.402894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4222
42.2%
1 377
 
3.8%
2 234
 
2.3%
3 137
 
1.4%
6 115
 
1.1%
4 111
 
1.1%
8 64
 
0.6%
5 64
 
0.6%
9 45
 
0.4%
10 42
 
0.4%
Other values (1481) 2394
23.9%
(Missing) 2195
21.9%
ValueCountFrequency (%)
0 4222
42.2%
1 377
 
3.8%
2 234
 
2.3%
3 137
 
1.4%
4 111
 
1.1%
5 64
 
0.6%
6 115
 
1.1%
7 34
 
0.3%
8 64
 
0.6%
9 45
 
0.4%
ValueCountFrequency (%)
28714 1
 
< 0.1%
27857 1
 
< 0.1%
26425 4
< 0.1%
23654 1
 
< 0.1%
23159 1
 
< 0.1%
20693 1
 
< 0.1%
20244 1
 
< 0.1%
19203 1
 
< 0.1%
18940 1
 
< 0.1%
18686 1
 
< 0.1%

자외선 최대(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)0.2%
Missing2073
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean0.096783146
Minimum0
Maximum7.7
Zeros6217
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:01.979824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.7
Maximum7.7
Range7.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.28943635
Coefficient of variation (CV)2.9905656
Kurtosis71.965249
Mean0.096783146
Median Absolute Deviation (MAD)0
Skewness5.5051496
Sum767.2
Variance0.0837734
MonotonicityNot monotonic
2024-05-11T09:14:02.546444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 6217
62.2%
0.1 687
 
6.9%
0.2 252
 
2.5%
0.3 105
 
1.1%
1.4 104
 
1.0%
1.3 100
 
1.0%
0.4 73
 
0.7%
0.6 73
 
0.7%
0.7 66
 
0.7%
0.8 63
 
0.6%
Other values (9) 187
 
1.9%
(Missing) 2073
 
20.7%
ValueCountFrequency (%)
0.0 6217
62.2%
0.1 687
 
6.9%
0.2 252
 
2.5%
0.3 105
 
1.1%
0.4 73
 
0.7%
0.5 62
 
0.6%
0.6 73
 
0.7%
0.7 66
 
0.7%
0.8 63
 
0.6%
0.9 39
 
0.4%
ValueCountFrequency (%)
7.7 1
 
< 0.1%
3.1 1
 
< 0.1%
3.0 1
 
< 0.1%
2.5 1
 
< 0.1%
1.4 104
1.0%
1.3 100
1.0%
1.2 22
 
0.2%
1.1 26
 
0.3%
1.0 34
 
0.3%
0.9 39
 
0.4%

자외선 평균(UV)
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.2%
Missing2073
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean0.076296203
Minimum0
Maximum1.6
Zeros6380
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:03.072211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.5
Maximum1.6
Range1.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.24291008
Coefficient of variation (CV)3.1837768
Kurtosis17.488553
Mean0.076296203
Median Absolute Deviation (MAD)0
Skewness4.1640808
Sum604.8
Variance0.059005306
MonotonicityNot monotonic
2024-05-11T09:14:03.677415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6380
63.8%
0.1 706
 
7.1%
0.2 231
 
2.3%
1.3 125
 
1.2%
0.3 119
 
1.2%
1.4 72
 
0.7%
0.4 64
 
0.6%
0.5 54
 
0.5%
0.7 53
 
0.5%
0.6 43
 
0.4%
Other values (6) 80
 
0.8%
(Missing) 2073
 
20.7%
ValueCountFrequency (%)
0.0 6380
63.8%
0.1 706
 
7.1%
0.2 231
 
2.3%
0.3 119
 
1.2%
0.4 64
 
0.6%
0.5 54
 
0.5%
0.6 43
 
0.4%
0.7 53
 
0.5%
0.8 34
 
0.3%
0.9 22
 
0.2%
ValueCountFrequency (%)
1.6 1
 
< 0.1%
1.4 72
0.7%
1.3 125
1.2%
1.2 6
 
0.1%
1.1 7
 
0.1%
1.0 10
 
0.1%
0.9 22
 
0.2%
0.8 34
 
0.3%
0.7 53
0.5%
0.6 43
 
0.4%

자외선 최대(UV).1
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.2%
Missing2073
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean0.05916488
Minimum0
Maximum1.4
Zeros6604
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:04.184209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.22101082
Coefficient of variation (CV)3.735507
Kurtosis24.282387
Mean0.05916488
Median Absolute Deviation (MAD)0
Skewness4.9314185
Sum469
Variance0.048845782
MonotonicityNot monotonic
2024-05-11T09:14:04.740082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 6604
66.0%
0.1 740
 
7.4%
0.2 211
 
2.1%
1.3 163
 
1.6%
0.3 44
 
0.4%
0.4 32
 
0.3%
1.4 31
 
0.3%
0.5 27
 
0.3%
0.6 22
 
0.2%
0.7 18
 
0.2%
Other values (5) 35
 
0.4%
(Missing) 2073
 
20.7%
ValueCountFrequency (%)
0.0 6604
66.0%
0.1 740
 
7.4%
0.2 211
 
2.1%
0.3 44
 
0.4%
0.4 32
 
0.3%
0.5 27
 
0.3%
0.6 22
 
0.2%
0.7 18
 
0.2%
0.8 16
 
0.2%
0.9 7
 
0.1%
ValueCountFrequency (%)
1.4 31
 
0.3%
1.3 163
1.6%
1.2 2
 
< 0.1%
1.1 7
 
0.1%
1.0 3
 
< 0.1%
0.9 7
 
0.1%
0.8 16
 
0.2%
0.7 18
 
0.2%
0.6 22
 
0.2%
0.5 27
 
0.3%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)0.5%
Missing303
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean52.048675
Minimum35
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:05.208568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile40
Q147
median51
Q356
95-th percentile69
Maximum83
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.2140997
Coefficient of variation (CV)0.15781573
Kurtosis0.24677354
Mean52.048675
Median Absolute Deviation (MAD)5
Skewness0.65936902
Sum504716
Variance67.471434
MonotonicityNot monotonic
2024-05-11T09:14:06.278988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
48 943
 
9.4%
52 868
 
8.7%
49 540
 
5.4%
44 524
 
5.2%
51 514
 
5.1%
50 483
 
4.8%
47 435
 
4.3%
53 392
 
3.9%
46 382
 
3.8%
56 373
 
3.7%
Other values (36) 4243
42.4%
ValueCountFrequency (%)
35 131
 
1.3%
36 55
 
0.5%
37 53
 
0.5%
38 46
 
0.5%
39 69
 
0.7%
40 171
 
1.7%
41 125
 
1.2%
42 148
 
1.5%
43 212
2.1%
44 524
5.2%
ValueCountFrequency (%)
83 1
 
< 0.1%
80 2
 
< 0.1%
78 1
 
< 0.1%
77 7
 
0.1%
76 12
 
0.1%
75 14
 
0.1%
74 39
0.4%
73 74
0.7%
72 84
0.8%
71 88
0.9%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)0.4%
Missing303
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean48.750026
Minimum35
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:07.190191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile38
Q143
median47
Q352
95-th percentile65
Maximum78
Range43
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.9763604
Coefficient of variation (CV)0.16361756
Kurtosis0.34645982
Mean48.750026
Median Absolute Deviation (MAD)4
Skewness0.83759891
Sum472729
Variance63.622325
MonotonicityNot monotonic
2024-05-11T09:14:07.945631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
44 736
 
7.4%
48 641
 
6.4%
46 616
 
6.2%
47 602
 
6.0%
45 594
 
5.9%
49 486
 
4.9%
43 478
 
4.8%
50 452
 
4.5%
51 412
 
4.1%
41 392
 
3.9%
Other values (33) 4288
42.9%
ValueCountFrequency (%)
35 187
 
1.9%
36 110
 
1.1%
37 124
 
1.2%
38 158
 
1.6%
39 218
 
2.2%
40 381
3.8%
41 392
3.9%
42 391
3.9%
43 478
4.8%
44 736
7.4%
ValueCountFrequency (%)
78 1
 
< 0.1%
76 1
 
< 0.1%
75 1
 
< 0.1%
74 10
 
0.1%
73 11
 
0.1%
72 23
 
0.2%
71 35
 
0.4%
70 62
0.6%
69 69
0.7%
68 92
0.9%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.4%
Missing303
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean46.592554
Minimum35
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:08.834344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile36
Q141
median45
Q350
95-th percentile62
Maximum75
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.6174466
Coefficient of variation (CV)0.16349064
Kurtosis0.38833053
Mean46.592554
Median Absolute Deviation (MAD)4
Skewness0.86468352
Sum451808
Variance58.025493
MonotonicityNot monotonic
2024-05-11T09:14:09.619980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
44 1064
 
10.6%
40 727
 
7.3%
48 720
 
7.2%
45 536
 
5.4%
43 476
 
4.8%
42 455
 
4.5%
46 442
 
4.4%
47 430
 
4.3%
41 401
 
4.0%
49 346
 
3.5%
Other values (31) 4100
41.0%
ValueCountFrequency (%)
35 336
 
3.4%
36 305
 
3.0%
37 217
 
2.2%
38 279
 
2.8%
39 327
 
3.3%
40 727
7.3%
41 401
 
4.0%
42 455
4.5%
43 476
4.8%
44 1064
10.6%
ValueCountFrequency (%)
75 1
 
< 0.1%
74 1
 
< 0.1%
73 5
 
0.1%
72 5
 
0.1%
71 9
 
0.1%
70 13
 
0.1%
69 29
0.3%
68 40
0.4%
67 56
0.6%
66 49
0.5%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.032036392
Minimum0
Maximum0.23
Zeros41
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:10.166568image/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 deviation0.022484624
Coefficient of variation (CV)0.70184632
Kurtosis6.6292535
Mean0.032036392
Median Absolute Deviation (MAD)0.01
Skewness1.8920227
Sum248.25
Variance0.0005055583
MonotonicityNot monotonic
2024-05-11T09:14:10.705594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.02 2145
21.4%
0.01 1603
16.0%
0.03 1370
13.7%
0.04 812
 
8.1%
0.05 713
 
7.1%
0.06 420
 
4.2%
0.07 287
 
2.9%
0.08 149
 
1.5%
0.09 92
 
0.9%
0.1 44
 
0.4%
Other values (11) 114
 
1.1%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 41
 
0.4%
0.01 1603
16.0%
0.02 2145
21.4%
0.03 1370
13.7%
0.04 812
 
8.1%
0.05 713
 
7.1%
0.06 420
 
4.2%
0.07 287
 
2.9%
0.08 149
 
1.5%
0.09 92
 
0.9%
ValueCountFrequency (%)
0.23 2
 
< 0.1%
0.22 1
 
< 0.1%
0.21 2
 
< 0.1%
0.17 4
 
< 0.1%
0.16 1
 
< 0.1%
0.15 15
0.1%
0.14 11
0.1%
0.13 18
0.2%
0.12 4
 
< 0.1%
0.11 15
0.1%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.2%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.028137824
Minimum0
Maximum0.17
Zeros65
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:11.239845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.021082687
Coefficient of variation (CV)0.74926502
Kurtosis4.2690284
Mean0.028137824
Median Absolute Deviation (MAD)0.01
Skewness1.7231608
Sum218.04
Variance0.00044447971
MonotonicityNot monotonic
2024-05-11T09:14:11.651910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.01 2452
24.5%
0.02 1943
19.4%
0.03 1144
11.4%
0.04 704
 
7.0%
0.05 603
 
6.0%
0.06 338
 
3.4%
0.07 226
 
2.3%
0.08 123
 
1.2%
0.09 77
 
0.8%
0.0 65
 
0.7%
Other values (8) 74
 
0.7%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 65
 
0.7%
0.01 2452
24.5%
0.02 1943
19.4%
0.03 1144
11.4%
0.04 704
 
7.0%
0.05 603
 
6.0%
0.06 338
 
3.4%
0.07 226
 
2.3%
0.08 123
 
1.2%
0.09 77
 
0.8%
ValueCountFrequency (%)
0.17 2
 
< 0.1%
0.16 2
 
< 0.1%
0.15 1
 
< 0.1%
0.14 18
 
0.2%
0.13 14
 
0.1%
0.12 10
 
0.1%
0.11 11
 
0.1%
0.1 16
 
0.2%
0.09 77
0.8%
0.08 123
1.2%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)0.2%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.024530907
Minimum0
Maximum0.17
Zeros317
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:12.162751image/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
Maximum0.17
Range0.17
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020207429
Coefficient of variation (CV)0.82375385
Kurtosis4.8281787
Mean0.024530907
Median Absolute Deviation (MAD)0.01
Skewness1.835362
Sum190.09
Variance0.0004083402
MonotonicityNot monotonic
2024-05-11T09:14:12.530729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.01 3034
30.3%
0.02 1658
16.6%
0.03 944
 
9.4%
0.04 708
 
7.1%
0.05 438
 
4.4%
0.0 317
 
3.2%
0.06 272
 
2.7%
0.07 161
 
1.6%
0.08 104
 
1.0%
0.09 47
 
0.5%
Other values (8) 66
 
0.7%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 317
 
3.2%
0.01 3034
30.3%
0.02 1658
16.6%
0.03 944
 
9.4%
0.04 708
 
7.1%
0.05 438
 
4.4%
0.06 272
 
2.7%
0.07 161
 
1.6%
0.08 104
 
1.0%
0.09 47
 
0.5%
ValueCountFrequency (%)
0.17 1
 
< 0.1%
0.16 2
 
< 0.1%
0.15 1
 
< 0.1%
0.14 11
 
0.1%
0.13 7
 
0.1%
0.12 19
 
0.2%
0.11 4
 
< 0.1%
0.1 21
 
0.2%
0.09 47
0.5%
0.08 104
1.0%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.064145051
Minimum0
Maximum0.29
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:13.041330image/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
Maximum0.29
Range0.29
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.03899562
Coefficient of variation (CV)0.60792874
Kurtosis-0.036067802
Mean0.064145051
Median Absolute Deviation (MAD)0.03
Skewness0.81160876
Sum497.06
Variance0.0015206584
MonotonicityNot monotonic
2024-05-11T09:14:13.627253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.03 1154
11.5%
0.02 1100
11.0%
0.04 888
 
8.9%
0.05 661
 
6.6%
0.06 645
 
6.5%
0.07 590
 
5.9%
0.08 540
 
5.4%
0.1 396
 
4.0%
0.09 384
 
3.8%
0.11 325
 
3.2%
Other values (12) 1066
10.7%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.01 15
 
0.1%
0.02 1100
11.0%
0.03 1154
11.5%
0.04 888
8.9%
0.05 661
6.6%
0.06 645
6.5%
0.07 590
5.9%
0.08 540
5.4%
0.09 384
 
3.8%
ValueCountFrequency (%)
0.29 1
 
< 0.1%
0.23 2
 
< 0.1%
0.19 11
 
0.1%
0.18 13
 
0.1%
0.17 53
 
0.5%
0.16 86
 
0.9%
0.15 144
1.4%
0.14 181
1.8%
0.13 204
2.0%
0.12 310
3.1%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.059625758
Minimum0
Maximum0.19
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:14.045804image/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 deviation0.039017878
Coefficient of variation (CV)0.65437956
Kurtosis-0.15894748
Mean0.059625758
Median Absolute Deviation (MAD)0.03
Skewness0.81182699
Sum462.04
Variance0.0015223948
MonotonicityNot monotonic
2024-05-11T09:14:14.484209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 1474
14.7%
0.03 1021
10.2%
0.04 706
 
7.1%
0.05 667
 
6.7%
0.06 643
 
6.4%
0.08 512
 
5.1%
0.07 504
 
5.0%
0.1 371
 
3.7%
0.09 344
 
3.4%
0.11 343
 
3.4%
Other values (10) 1164
11.6%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.01 265
 
2.6%
0.02 1474
14.7%
0.03 1021
10.2%
0.04 706
7.1%
0.05 667
6.7%
0.06 643
6.4%
0.07 504
 
5.0%
0.08 512
 
5.1%
0.09 344
 
3.4%
ValueCountFrequency (%)
0.19 11
 
0.1%
0.18 11
 
0.1%
0.17 31
 
0.3%
0.16 73
 
0.7%
0.15 142
 
1.4%
0.14 139
 
1.4%
0.13 178
1.8%
0.12 268
2.7%
0.11 343
3.4%
0.1 371
3.7%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean0.055029036
Minimum0
Maximum0.19
Zeros56
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:14.951970image/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 deviation0.039032105
Coefficient of variation (CV)0.70930018
Kurtosis-0.11708149
Mean0.055029036
Median Absolute Deviation (MAD)0.02
Skewness0.8344076
Sum426.42
Variance0.0015235052
MonotonicityNot monotonic
2024-05-11T09:14:15.321148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 1291
12.9%
0.03 929
9.3%
0.01 894
 
8.9%
0.04 707
 
7.1%
0.05 606
 
6.1%
0.06 580
 
5.8%
0.07 550
 
5.5%
0.09 402
 
4.0%
0.08 370
 
3.7%
0.1 330
 
3.3%
Other values (10) 1090
10.9%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 56
 
0.6%
0.01 894
8.9%
0.02 1291
12.9%
0.03 929
9.3%
0.04 707
7.1%
0.05 606
6.1%
0.06 580
5.8%
0.07 550
5.5%
0.08 370
 
3.7%
0.09 402
 
4.0%
ValueCountFrequency (%)
0.19 2
 
< 0.1%
0.18 13
 
0.1%
0.17 26
 
0.3%
0.16 60
 
0.6%
0.15 102
 
1.0%
0.14 141
1.4%
0.13 162
1.6%
0.12 221
2.2%
0.11 307
3.1%
0.1 330
3.3%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean1.0396361
Minimum0
Maximum1.26
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:15.983277image/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
Maximum1.26
Range1.26
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.087236271
Coefficient of variation (CV)0.083910392
Kurtosis116.93031
Mean1.0396361
Median Absolute Deviation (MAD)0.02
Skewness-10.010823
Sum8056.14
Variance0.007610167
MonotonicityNot monotonic
2024-05-11T09:14:16.749768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.05 870
 
8.7%
1.06 860
 
8.6%
1.04 832
 
8.3%
1.03 789
 
7.9%
1.02 737
 
7.4%
1.07 677
 
6.8%
1.08 585
 
5.9%
1.01 533
 
5.3%
1.0 406
 
4.1%
1.09 384
 
3.8%
Other values (16) 1076
10.8%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.94 12
 
0.1%
0.95 14
 
0.1%
0.96 21
 
0.2%
0.97 52
 
0.5%
0.98 140
 
1.4%
0.99 247
 
2.5%
1.0 406
4.1%
1.01 533
5.3%
1.02 737
7.4%
ValueCountFrequency (%)
1.26 1
 
< 0.1%
1.17 2
 
< 0.1%
1.16 8
 
0.1%
1.15 11
 
0.1%
1.14 27
 
0.3%
1.13 66
 
0.7%
1.12 70
 
0.7%
1.11 117
 
1.2%
1.1 242
2.4%
1.09 384
3.8%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean1.0345632
Minimum0
Maximum1.16
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:17.254544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.02
median1.04
Q31.06
95-th percentile1.1
Maximum1.16
Range1.16
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.086844711
Coefficient of variation (CV)0.083943363
Kurtosis116.73777
Mean1.0345632
Median Absolute Deviation (MAD)0.02
Skewness-10.000737
Sum8016.83
Variance0.0075420039
MonotonicityNot monotonic
2024-05-11T09:14:17.634022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.05 944
9.4%
1.03 889
 
8.9%
1.06 776
 
7.8%
1.02 773
 
7.7%
1.04 744
 
7.4%
1.07 646
 
6.5%
1.01 556
 
5.6%
1.0 518
 
5.2%
1.08 452
 
4.5%
1.09 336
 
3.4%
Other values (14) 1115
11.2%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.94 22
 
0.2%
0.95 7
 
0.1%
0.96 46
 
0.5%
0.97 72
 
0.7%
0.98 200
 
2.0%
0.99 333
3.3%
1.0 518
5.2%
1.01 556
5.6%
1.02 773
7.7%
ValueCountFrequency (%)
1.16 5
 
0.1%
1.15 13
 
0.1%
1.14 12
 
0.1%
1.13 43
 
0.4%
1.12 66
 
0.7%
1.11 106
 
1.1%
1.1 144
 
1.4%
1.09 336
3.4%
1.08 452
4.5%
1.07 646
6.5%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)0.3%
Missing2251
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean1.0289044
Minimum0
Maximum1.16
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:18.041759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.03
Q31.06
95-th percentile1.09
Maximum1.16
Range1.16
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.08662653
Coefficient of variation (CV)0.084192984
Kurtosis115.33122
Mean1.0289044
Median Absolute Deviation (MAD)0.02
Skewness-9.9111911
Sum7972.98
Variance0.0075041557
MonotonicityNot monotonic
2024-05-11T09:14:18.486467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.05 864
 
8.6%
1.04 854
 
8.5%
1.03 829
 
8.3%
1.02 788
 
7.9%
1.01 735
 
7.3%
1.06 660
 
6.6%
1.07 564
 
5.6%
1.0 538
 
5.4%
0.99 421
 
4.2%
1.08 382
 
3.8%
Other values (17) 1114
11.1%
(Missing) 2251
22.5%
ValueCountFrequency (%)
0.0 46
 
0.5%
0.89 1
 
< 0.1%
0.9 1
 
< 0.1%
0.93 17
 
0.2%
0.94 7
 
0.1%
0.95 28
 
0.3%
0.96 65
 
0.7%
0.97 156
 
1.6%
0.98 260
2.6%
0.99 421
4.2%
ValueCountFrequency (%)
1.16 3
 
< 0.1%
1.15 5
 
0.1%
1.14 13
 
0.1%
1.13 27
 
0.3%
1.12 73
 
0.7%
1.11 69
 
0.7%
1.1 113
 
1.1%
1.09 230
2.3%
1.08 382
3.8%
1.07 564
5.6%

흑구온도 최대(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

흑구온도 평균(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

흑구온도 최소(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

이산화질소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct399
Distinct (%)65.4%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.55069016
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:19.122024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1429
Q10.286
median0.481
Q30.67775
95-th percentile1.49925
Maximum2
Range2
Interquartile range (IQR)0.39175

Descriptive statistics

Standard deviation0.40270489
Coefficient of variation (CV)0.73127308
Kurtosis5.387672
Mean0.55069016
Median Absolute Deviation (MAD)0.196
Skewness2.1352944
Sum335.921
Variance0.16217123
MonotonicityNot monotonic
2024-05-11T09:14:19.684957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 27
 
0.3%
0.0 13
 
0.1%
0.189 4
 
< 0.1%
0.721 4
 
< 0.1%
0.562 4
 
< 0.1%
0.408 4
 
< 0.1%
0.234 4
 
< 0.1%
0.241 3
 
< 0.1%
0.629 3
 
< 0.1%
0.471 3
 
< 0.1%
Other values (389) 541
 
5.4%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.05 1
 
< 0.1%
0.081 1
 
< 0.1%
0.087 1
 
< 0.1%
0.106 1
 
< 0.1%
0.109 1
 
< 0.1%
0.111 2
 
< 0.1%
0.118 1
 
< 0.1%
0.123 1
 
< 0.1%
0.124 1
 
< 0.1%
ValueCountFrequency (%)
2.0 27
0.3%
1.88 1
 
< 0.1%
1.577 1
 
< 0.1%
1.562 1
 
< 0.1%
1.506 1
 
< 0.1%
1.491 1
 
< 0.1%
1.397 1
 
< 0.1%
1.378 1
 
< 0.1%
1.339 1
 
< 0.1%
1.333 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct409
Distinct (%)67.0%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.59767049
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:20.351247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.16445
Q10.344
median0.522
Q30.7415
95-th percentile1.5887
Maximum2
Range2
Interquartile range (IQR)0.3975

Descriptive statistics

Standard deviation0.40953358
Coefficient of variation (CV)0.68521633
Kurtosis4.4152374
Mean0.59767049
Median Absolute Deviation (MAD)0.198
Skewness1.9424092
Sum364.579
Variance0.16771775
MonotonicityNot monotonic
2024-05-11T09:14:21.009697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 29
 
0.3%
0.0 13
 
0.1%
0.413 6
 
0.1%
0.553 4
 
< 0.1%
0.264 4
 
< 0.1%
0.663 4
 
< 0.1%
0.435 4
 
< 0.1%
0.466 4
 
< 0.1%
0.519 3
 
< 0.1%
0.793 3
 
< 0.1%
Other values (399) 536
 
5.4%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.064 1
 
< 0.1%
0.111 1
 
< 0.1%
0.115 1
 
< 0.1%
0.136 1
 
< 0.1%
0.141 1
 
< 0.1%
0.142 1
 
< 0.1%
0.144 2
 
< 0.1%
0.147 1
 
< 0.1%
0.154 1
 
< 0.1%
ValueCountFrequency (%)
2.0 29
0.3%
1.823 1
 
< 0.1%
1.595 1
 
< 0.1%
1.581 1
 
< 0.1%
1.537 1
 
< 0.1%
1.504 1
 
< 0.1%
1.436 1
 
< 0.1%
1.423 1
 
< 0.1%
1.397 1
 
< 0.1%
1.356 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)66.2%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.5299459
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:21.661064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12345
Q10.26525
median0.463
Q30.651
95-th percentile1.43695
Maximum2
Range2
Interquartile range (IQR)0.38575

Descriptive statistics

Standard deviation0.40241334
Coefficient of variation (CV)0.75934797
Kurtosis5.677635
Mean0.5299459
Median Absolute Deviation (MAD)0.194
Skewness2.1906087
Sum323.267
Variance0.1619365
MonotonicityNot monotonic
2024-05-11T09:14:22.303461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 27
 
0.3%
0.0 13
 
0.1%
0.618 4
 
< 0.1%
0.398 4
 
< 0.1%
0.691 4
 
< 0.1%
0.164 4
 
< 0.1%
0.283 4
 
< 0.1%
0.213 4
 
< 0.1%
0.399 4
 
< 0.1%
0.629 3
 
< 0.1%
Other values (394) 539
 
5.4%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.042 1
 
< 0.1%
0.074 1
 
< 0.1%
0.075 1
 
< 0.1%
0.094 1
 
< 0.1%
0.096 1
 
< 0.1%
0.097 1
 
< 0.1%
0.099 1
 
< 0.1%
0.102 1
 
< 0.1%
0.104 1
 
< 0.1%
ValueCountFrequency (%)
2.0 27
0.3%
1.554 1
 
< 0.1%
1.548 1
 
< 0.1%
1.491 1
 
< 0.1%
1.486 1
 
< 0.1%
1.377 1
 
< 0.1%
1.361 1
 
< 0.1%
1.346 1
 
< 0.1%
1.322 1
 
< 0.1%
1.32 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)17.4%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.16029016
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:22.982785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.031
Q10.044
median0.057
Q30.076
95-th percentile1.24985
Maximum2
Range2
Interquartile range (IQR)0.032

Descriptive statistics

Standard deviation0.42746686
Coefficient of variation (CV)2.6668315
Kurtosis14.625638
Mean0.16029016
Median Absolute Deviation (MAD)0.014
Skewness4.0569607
Sum97.777
Variance0.18272792
MonotonicityNot monotonic
2024-05-11T09:14:23.709312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 31
 
0.3%
0.059 19
 
0.2%
0.043 19
 
0.2%
0.056 18
 
0.2%
0.039 17
 
0.2%
0.057 16
 
0.2%
0.038 16
 
0.2%
0.049 16
 
0.2%
0.044 13
 
0.1%
0.0 13
 
0.1%
Other values (96) 432
 
4.3%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.024 4
 
< 0.1%
0.025 3
 
< 0.1%
0.026 1
 
< 0.1%
0.027 2
 
< 0.1%
0.028 2
 
< 0.1%
0.03 4
 
< 0.1%
0.031 3
 
< 0.1%
0.032 2
 
< 0.1%
0.033 7
0.1%
ValueCountFrequency (%)
2.0 31
0.3%
0.333 1
 
< 0.1%
0.319 1
 
< 0.1%
0.301 1
 
< 0.1%
0.288 1
 
< 0.1%
0.277 1
 
< 0.1%
0.269 1
 
< 0.1%
0.267 1
 
< 0.1%
0.233 1
 
< 0.1%
0.232 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)14.8%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.15224098
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:24.219553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02645
Q10.039
median0.049
Q30.065
95-th percentile1.2224
Maximum2
Range2
Interquartile range (IQR)0.026

Descriptive statistics

Standard deviation0.4287916
Coefficient of variation (CV)2.816532
Kurtosis14.715117
Mean0.15224098
Median Absolute Deviation (MAD)0.011
Skewness4.0730049
Sum92.867
Variance0.18386224
MonotonicityNot monotonic
2024-05-11T09:14:24.868402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 31
 
0.3%
0.038 27
 
0.3%
0.039 25
 
0.2%
0.041 22
 
0.2%
0.04 21
 
0.2%
0.046 19
 
0.2%
0.047 15
 
0.1%
0.044 14
 
0.1%
0.052 14
 
0.1%
0.053 14
 
0.1%
Other values (80) 408
 
4.1%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.022 2
 
< 0.1%
0.024 7
0.1%
0.025 6
0.1%
0.026 3
 
< 0.1%
0.027 6
0.1%
0.028 2
 
< 0.1%
0.029 3
 
< 0.1%
0.03 6
0.1%
0.031 4
 
< 0.1%
ValueCountFrequency (%)
2.0 31
0.3%
0.272 1
 
< 0.1%
0.253 1
 
< 0.1%
0.24 1
 
< 0.1%
0.229 1
 
< 0.1%
0.221 1
 
< 0.1%
0.218 1
 
< 0.1%
0.183 1
 
< 0.1%
0.18 1
 
< 0.1%
0.162 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)14.6%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.14651967
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:25.489243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.036
median0.043
Q30.059
95-th percentile1.2035
Maximum2
Range2
Interquartile range (IQR)0.023

Descriptive statistics

Standard deviation0.42989625
Coefficient of variation (CV)2.9340514
Kurtosis14.751768
Mean0.14651967
Median Absolute Deviation (MAD)0.011
Skewness4.07966
Sum89.377
Variance0.18481079
MonotonicityNot monotonic
2024-05-11T09:14:25.978968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.038 42
 
0.4%
0.039 37
 
0.4%
2.0 31
 
0.3%
0.037 24
 
0.2%
0.024 23
 
0.2%
0.034 17
 
0.2%
0.036 17
 
0.2%
0.048 15
 
0.1%
0.05 13
 
0.1%
0.0 13
 
0.1%
Other values (79) 378
 
3.8%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
0.1%
0.019 1
 
< 0.1%
0.02 1
 
< 0.1%
0.021 2
 
< 0.1%
0.022 2
 
< 0.1%
0.023 4
 
< 0.1%
0.024 23
0.2%
0.025 8
 
0.1%
0.026 12
0.1%
0.027 4
 
< 0.1%
ValueCountFrequency (%)
2.0 31
0.3%
0.23 1
 
< 0.1%
0.215 1
 
< 0.1%
0.213 1
 
< 0.1%
0.208 1
 
< 0.1%
0.173 1
 
< 0.1%
0.17 1
 
< 0.1%
0.147 1
 
< 0.1%
0.137 1
 
< 0.1%
0.109 1
 
< 0.1%

이산화황 최대(ppm)
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.1%
Missing9390
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.66813443
Minimum0
Maximum2
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:26.557773image/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 deviation0.94138608
Coefficient of variation (CV)1.4089771
Kurtosis-1.4987391
Mean0.66813443
Median Absolute Deviation (MAD)0
Skewness0.71146297
Sum407.562
Variance0.88620776
MonotonicityNot monotonic
2024-05-11T09:14:26.938115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.004 349
 
3.5%
2.0 203
 
2.0%
0.003 41
 
0.4%
0.0 13
 
0.1%
0.006 2
 
< 0.1%
0.026 1
 
< 0.1%
0.005 1
 
< 0.1%
(Missing) 9390
93.9%
ValueCountFrequency (%)
0.0 13
 
0.1%
0.003 41
 
0.4%
0.004 349
3.5%
0.005 1
 
< 0.1%
0.006 2
 
< 0.1%
0.026 1
 
< 0.1%
2.0 203
2.0%
ValueCountFrequency (%)
2.0 203
2.0%
0.026 1
 
< 0.1%
0.006 2
 
< 0.1%
0.005 1
 
< 0.1%
0.004 349
3.5%
0.003 41
 
0.4%
0.0 13
 
0.1%

이산화황 평균(ppm)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9390 
0.004
 
349
2.0
 
203
0.003
 
44
0.0
 
13

Length

Max length5
Median length4
Mean length4.0178
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> 9390
93.9%
0.004 349
 
3.5%
2.0 203
 
2.0%
0.003 44
 
0.4%
0.0 13
 
0.1%
0.006 1
 
< 0.1%

Length

2024-05-11T09:14:27.343735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:27.709023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9390
93.9%
0.004 349
 
3.5%
2.0 203
 
2.0%
0.003 44
 
0.4%
0.0 13
 
0.1%
0.006 1
 
< 0.1%

이산화황 최소(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9390 
0.004
 
340
2.0
 
203
0.003
 
54
0.0
 
13

Length

Max length5
Median length4
Mean length4.0178
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> 9390
93.9%
0.004 340
 
3.4%
2.0 203
 
2.0%
0.003 54
 
0.5%
0.0 13
 
0.1%

Length

2024-05-11T09:14:28.111551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:28.464611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9390
93.9%
0.004 340
 
3.4%
2.0 203
 
2.0%
0.003 54
 
0.5%
0.0 13
 
0.1%

암모니아 최대(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9566 
0
 
434

Length

Max length4
Median length4
Mean length3.8698
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> 9566
95.7%
0 434
 
4.3%

Length

2024-05-11T09:14:28.733965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:29.058566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9566
95.7%
0 434
 
4.3%

암모니아 평균(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9566 
0
 
434

Length

Max length4
Median length4
Mean length3.8698
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> 9566
95.7%
0 434
 
4.3%

Length

2024-05-11T09:14:29.409049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:29.737398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9566
95.7%
0 434
 
4.3%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9566 
0
 
434

Length

Max length4
Median length4
Mean length3.8698
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> 9566
95.7%
0 434
 
4.3%

Length

2024-05-11T09:14:30.091229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:14:30.487083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9566
95.7%
0 434
 
4.3%

황화수소 최대(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.2%
Missing9566
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00071889401
Minimum0
Maximum0.019
Zeros363
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:30.779006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.005
Maximum0.019
Range0.019
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0021978916
Coefficient of variation (CV)3.0573236
Kurtosis21.511214
Mean0.00071889401
Median Absolute Deviation (MAD)0
Skewness4.2314153
Sum0.312
Variance4.8307276 × 10-6
MonotonicityNot monotonic
2024-05-11T09:14:31.159589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 363
 
3.6%
0.001 16
 
0.2%
0.004 12
 
0.1%
0.002 11
 
0.1%
0.003 8
 
0.1%
0.005 7
 
0.1%
0.008 5
 
0.1%
0.01 3
 
< 0.1%
0.011 2
 
< 0.1%
0.006 2
 
< 0.1%
Other values (4) 5
 
0.1%
(Missing) 9566
95.7%
ValueCountFrequency (%)
0.0 363
3.6%
0.001 16
 
0.2%
0.002 11
 
0.1%
0.003 8
 
0.1%
0.004 12
 
0.1%
0.005 7
 
0.1%
0.006 2
 
< 0.1%
0.007 1
 
< 0.1%
0.008 5
 
0.1%
0.009 1
 
< 0.1%
ValueCountFrequency (%)
0.019 1
 
< 0.1%
0.014 2
 
< 0.1%
0.011 2
 
< 0.1%
0.01 3
 
< 0.1%
0.009 1
 
< 0.1%
0.008 5
0.1%
0.007 1
 
< 0.1%
0.006 2
 
< 0.1%
0.005 7
0.1%
0.004 12
0.1%

황화수소 평균(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)2.8%
Missing9566
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00048617512
Minimum0
Maximum0.014
Zeros378
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:31.516237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.003
Maximum0.014
Range0.014
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0016939077
Coefficient of variation (CV)3.4841515
Kurtosis25.650146
Mean0.00048617512
Median Absolute Deviation (MAD)0
Skewness4.7483449
Sum0.211
Variance2.8693234 × 10-6
MonotonicityNot monotonic
2024-05-11T09:14:31.889389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 378
 
3.8%
0.002 14
 
0.1%
0.001 12
 
0.1%
0.003 12
 
0.1%
0.008 5
 
0.1%
0.004 5
 
0.1%
0.01 2
 
< 0.1%
0.007 2
 
< 0.1%
0.005 1
 
< 0.1%
0.014 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 9566
95.7%
ValueCountFrequency (%)
0.0 378
3.8%
0.001 12
 
0.1%
0.002 14
 
0.1%
0.003 12
 
0.1%
0.004 5
 
0.1%
0.005 1
 
< 0.1%
0.007 2
 
< 0.1%
0.008 5
 
0.1%
0.009 1
 
< 0.1%
0.01 2
 
< 0.1%
ValueCountFrequency (%)
0.014 1
 
< 0.1%
0.013 1
 
< 0.1%
0.01 2
 
< 0.1%
0.009 1
 
< 0.1%
0.008 5
 
0.1%
0.007 2
 
< 0.1%
0.005 1
 
< 0.1%
0.004 5
 
0.1%
0.003 12
0.1%
0.002 14
0.1%

황화수소 최소(ppm)
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.5%
Missing9566
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean0.00033179724
Minimum0
Maximum0.013
Zeros396
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:32.260976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.002
Maximum0.013
Range0.013
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0014498715
Coefficient of variation (CV)4.3697517
Kurtosis34.907859
Mean0.00033179724
Median Absolute Deviation (MAD)0
Skewness5.6425054
Sum0.144
Variance2.1021275 × 10-6
MonotonicityNot monotonic
2024-05-11T09:14:32.648092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 396
 
4.0%
0.002 14
 
0.1%
0.001 10
 
0.1%
0.007 5
 
0.1%
0.008 3
 
< 0.1%
0.009 1
 
< 0.1%
0.006 1
 
< 0.1%
0.004 1
 
< 0.1%
0.013 1
 
< 0.1%
0.012 1
 
< 0.1%
(Missing) 9566
95.7%
ValueCountFrequency (%)
0.0 396
4.0%
0.001 10
 
0.1%
0.002 14
 
0.1%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
0.006 1
 
< 0.1%
0.007 5
 
0.1%
0.008 3
 
< 0.1%
0.009 1
 
< 0.1%
0.012 1
 
< 0.1%
ValueCountFrequency (%)
0.013 1
 
< 0.1%
0.012 1
 
< 0.1%
0.009 1
 
< 0.1%
0.008 3
 
< 0.1%
0.007 5
 
0.1%
0.006 1
 
< 0.1%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.002 14
0.1%
0.001 10
0.1%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)30.7%
Missing9762
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.34814286
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:33.041330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.032
median0.0415
Q30.294
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.262

Descriptive statistics

Standard deviation0.66335394
Coefficient of variation (CV)1.9054073
Kurtosis2.3240072
Mean0.34814286
Median Absolute Deviation (MAD)0.0125
Skewness2.0259061
Sum82.858
Variance0.44003844
MonotonicityNot monotonic
2024-05-11T09:14:33.494318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 32
 
0.3%
0.0 10
 
0.1%
0.038 9
 
0.1%
0.041 9
 
0.1%
0.033 8
 
0.1%
0.036 7
 
0.1%
0.044 7
 
0.1%
0.046 7
 
0.1%
0.026 6
 
0.1%
0.043 6
 
0.1%
Other values (63) 137
 
1.4%
(Missing) 9762
97.6%
ValueCountFrequency (%)
0.0 10
0.1%
0.002 4
 
< 0.1%
0.003 3
 
< 0.1%
0.004 1
 
< 0.1%
0.018 1
 
< 0.1%
0.019 1
 
< 0.1%
0.021 1
 
< 0.1%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 4
 
< 0.1%
ValueCountFrequency (%)
2.0 32
0.3%
0.601 1
 
< 0.1%
0.571 1
 
< 0.1%
0.477 1
 
< 0.1%
0.454 1
 
< 0.1%
0.432 1
 
< 0.1%
0.406 1
 
< 0.1%
0.403 1
 
< 0.1%
0.401 1
 
< 0.1%
0.392 1
 
< 0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)28.2%
Missing9762
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.34386975
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:33.962810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.03
median0.04
Q30.288
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.258

Descriptive statistics

Standard deviation0.66380799
Coefficient of variation (CV)1.9304053
Kurtosis2.3633067
Mean0.34386975
Median Absolute Deviation (MAD)0.012
Skewness2.0395552
Sum81.841
Variance0.44064104
MonotonicityNot monotonic
2024-05-11T09:14:34.612653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 32
 
0.3%
0.036 10
 
0.1%
0.0 10
 
0.1%
0.043 9
 
0.1%
0.033 8
 
0.1%
0.002 8
 
0.1%
0.042 8
 
0.1%
0.025 8
 
0.1%
0.034 8
 
0.1%
0.035 7
 
0.1%
Other values (57) 130
 
1.3%
(Missing) 9762
97.6%
ValueCountFrequency (%)
0.0 10
0.1%
0.002 8
0.1%
0.018 2
 
< 0.1%
0.02 1
 
< 0.1%
0.021 2
 
< 0.1%
0.022 2
 
< 0.1%
0.023 4
 
< 0.1%
0.024 6
0.1%
0.025 8
0.1%
0.026 3
 
< 0.1%
ValueCountFrequency (%)
2.0 32
0.3%
0.58 1
 
< 0.1%
0.457 1
 
< 0.1%
0.431 1
 
< 0.1%
0.402 1
 
< 0.1%
0.398 1
 
< 0.1%
0.396 1
 
< 0.1%
0.382 1
 
< 0.1%
0.381 2
 
< 0.1%
0.373 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)29.8%
Missing9762
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.34115126
Minimum0
Maximum2
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T09:14:35.076719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.028
median0.038
Q30.2855
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.2575

Descriptive statistics

Standard deviation0.66429277
Coefficient of variation (CV)1.9472089
Kurtosis2.3822263
Mean0.34115126
Median Absolute Deviation (MAD)0.012
Skewness2.0461649
Sum81.194
Variance0.44128489
MonotonicityNot monotonic
2024-05-11T09:14:35.569484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 32
 
0.3%
0.031 11
 
0.1%
0.033 11
 
0.1%
0.041 11
 
0.1%
0.0 10
 
0.1%
0.042 8
 
0.1%
0.001 8
 
0.1%
0.026 7
 
0.1%
0.023 7
 
0.1%
0.032 6
 
0.1%
Other values (61) 127
 
1.3%
(Missing) 9762
97.6%
ValueCountFrequency (%)
0.0 10
0.1%
0.001 8
0.1%
0.018 3
 
< 0.1%
0.019 1
 
< 0.1%
0.02 2
 
< 0.1%
0.021 4
 
< 0.1%
0.022 5
0.1%
0.023 7
0.1%
0.024 5
0.1%
0.025 2
 
< 0.1%
ValueCountFrequency (%)
2.0 32
0.3%
0.535 1
 
< 0.1%
0.442 1
 
< 0.1%
0.394 1
 
< 0.1%
0.392 1
 
< 0.1%
0.388 1
 
< 0.1%
0.387 1
 
< 0.1%
0.378 1
 
< 0.1%
0.376 1
 
< 0.1%
0.365 1
 
< 0.1%

등록일시
Date

Distinct1800
Distinct (%)18.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum2024-01-08 00:07:21
Maximum2024-01-09 08:08:06
2024-05-11T09:14:36.007938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:14:36.576624image/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
15773SDOT001OC3CL2000512024-01-08_04:07:00roads_and_parksDobong-guSsangmun3-dong2113221.00.50.2322927<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>494542<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>2024-01-08 16:07:52
4750SDOT001V02Q19401142024-01-08_05:07:00residential_areaGangseo-guGayang-dong1444555-6.5-6.6-6.7656362<NA><NA><NA><NA><NA><NA>1110.00.00.04945440.040.030.030.070.060.061.091.091.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 05:08:00
26737SDOT001OC3CL2001482024-01-09_03:07:00roads_and_parksSeodaemun-guHongeun2-dong766877-0.1-0.2-0.25453531.20.50.1359.762.012.9<NA><NA><NA><NA><NA><NA>575553<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>2024-01-09 03:08:19
12824SDOT001OC3CL2002132024-01-08_01:07:00roads_and_parksNowon-guSanggye1-dong211322-1.4-1.9-2.5424139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>696763<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>2024-01-08 13:07:55
17329SDOT001V02Q19402592024-01-08_05:07:00residential_areaYangcheon-guMok4-dong2113220.70.30.0545250<NA><NA><NA><NA><NA><NA>0000.00.00.05956550.040.030.030.150.150.141.021.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 17:08:16
6960SDOT001V02Q19404182024-01-08_07:07:00residential_areaSeongbuk-guGileum1-dong211322-6.3-6.7-6.9555554<NA><NA><NA><NA><NA><NA>0000.00.00.04341390.030.020.020.090.090.081.061.061.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 07:08:11
15978SDOT001V02Q19401152024-01-08_04:07:00residential_areaDongdaemun-guImun1-dong2113221.20.40.0342824<NA><NA><NA><NA><NA><NA>1577146712590.10.10.15451470.060.050.040.040.030.031.021.011.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 16:08:04
5685SDOT001V02Q19403032024-01-08_06:07:00roads_and_parksDobong-guDobong2-dong37414152-8.5-8.6-8.7676665<NA><NA><NA><NA><NA><NA>0000.00.00.05548440.020.010.010.020.020.020.990.990.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 06:07:57
7909SDOT001V02Q19405942024-01-08_08:07:00residential_areaSeongdong-guSeongsu2ga3-dong211322-4.7-4.9-5.0494745<NA><NA><NA><NA><NA><NA>0000.00.00.04443410.050.050.040.030.020.021.051.041.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 08:08:07
21314SDOT001V02Q19402832024-01-08_09:07:00residential_areaSeongbuk-guBomun-dong8769870.20.0-0.2565553<NA><NA><NA><NA><NA><NA>0000.00.00.05048460.020.010.010.10.10.091.081.071.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 21:08:12
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
9907SDOT001V02Q19408122024-01-08_10:07:00roads_and_parksGwangjin-guGwangjang-dong211322-3.8-5.4-5.95856540.10.10.1356.622.014.4846332895020.50.20.05655540.040.030.030.10.10.091.081.071.07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 10:08:05
1843SDOT001V02Q19405142024-01-08_01:07:00residential_areaSeodaemun-guHongje3-dong554665-6.9-7.0-7.1686767<NA><NA><NA><NA><NA><NA>5550.00.00.04538360.050.050.040.070.070.071.01.00.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 01:08:18
17673SDOT001V02Q19402692024-01-08_06:07:00residential_areaGwanak-guSamseong-dong96410750.40.0-0.3595654<NA><NA><NA><NA><NA><NA>0000.00.00.05653510.030.020.020.050.040.041.021.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 18:07:33
18808SDOT001V02Q19402522024-01-08_07:07:00residential_areaJungnang-guMyeonmok4-dong5336440.20.10.0575451<NA><NA><NA><NA><NA><NA>0000.00.00.05149480.020.010.010.070.070.061.071.061.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 19:07:44
5436SDOT001V02Q19402252024-01-08_06:07:00residential_areaJungnang-guMyeonmokbon-dong1099111010-6.3-6.4-6.5535352<NA><NA><NA><NA><NA><NA>2828280.00.00.05651480.040.040.030.020.010.011.031.031.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 06:07:42
7886SDOT001V02Q19404032024-01-08_08:07:00residential_areaGwangjin-guJayang1-dong654765-6.2-6.4-6.6595654<NA><NA><NA><NA><NA><NA>1893500.00.00.05250480.020.020.020.080.070.071.041.031.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 08:08:05
22762SDOT001V02Q19407122024-01-08_11:07:00residential_areaGangbuk-guUi-dong666777-0.9-1.0-1.1636261<NA><NA><NA><NA><NA><NA>0000.00.00.04744420.020.010.010.020.010.011.031.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 23:07:30
25991SDOT001V02Q19407012024-01-09_03:07:00residential_areaGwanak-guMiseong-dong1413131514142.11.91.5575554<NA><NA><NA><NA><NA><NA>4300.00.00.04744430.060.060.050.10.10.11.021.021.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-09 03:07:34
24518SDOT001OC3CL2000772024-01-09_12:07:00main_streetSeocho-guBanpo3-dong877988-0.1-0.3-0.4727170<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>2024-01-09 00:08:23
13121SDOT001V02Q19407082024-01-08_01:07:00residential_areaSongpa-guJamsil2-dong443554-1.7-2.4-2.7403836<NA><NA><NA><NA><NA><NA>0000.00.00.05552490.010.010.010.110.110.10.990.990.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-08 13:08:12