Overview

Dataset statistics

Number of variables64
Number of observations5211
Missing cells105237
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory569.0 B

Variable types

Categorical16
Text2
Numeric42
Unsupported3
DateTime1

Dataset

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

Alerts

모델번호 has constant value ""Constant
자외선 최대(UV) is highly imbalanced (56.6%)Imbalance
자외선 평균(UV) is highly imbalanced (56.7%)Imbalance
자외선 최대(UV).1 is highly imbalanced (56.9%)Imbalance
이산화황 최대(ppm) is highly imbalanced (81.7%)Imbalance
이산화황 평균(ppm) is highly imbalanced (81.7%)Imbalance
이산화황 최소(ppm) is highly imbalanced (81.7%)Imbalance
암모니아 최대(ppm) is highly imbalanced (71.9%)Imbalance
암모니아 평균(ppm) is highly imbalanced (71.9%)Imbalance
암모니아 최소(ppm) is highly imbalanced (71.9%)Imbalance
황화수소 최대(ppm) is highly imbalanced (85.5%)Imbalance
황화수소 평균(ppm) is highly imbalanced (85.5%)Imbalance
황화수소 최소(ppm) is highly imbalanced (85.5%)Imbalance
온도 최대(℃) has 296 (5.7%) missing valuesMissing
온도 평균(℃) has 296 (5.7%) missing valuesMissing
온도 최소(℃) has 296 (5.7%) missing valuesMissing
습도 최대(%) has 296 (5.7%) missing valuesMissing
습도 평균(%) has 296 (5.7%) missing valuesMissing
습도 최소(%) has 296 (5.7%) missing valuesMissing
풍속 최대(m/s) has 4918 (94.4%) missing valuesMissing
풍속 평균(m/s) has 4918 (94.4%) missing valuesMissing
풍속 최소(m/s) has 4918 (94.4%) missing valuesMissing
풍향 최대(m/s) has 4918 (94.4%) missing valuesMissing
풍향 평균(m/s) has 4918 (94.4%) missing valuesMissing
풍향 최소(m/s) has 4918 (94.4%) missing valuesMissing
조도 최대(lux) has 1081 (20.7%) missing valuesMissing
조도 평균(lux) has 1081 (20.7%) missing valuesMissing
조도 최소(lux) has 1081 (20.7%) missing valuesMissing
소음 최대(dB) has 139 (2.7%) missing valuesMissing
소음 평균(dB) has 139 (2.7%) missing valuesMissing
소음 최소(dB) has 139 (2.7%) missing valuesMissing
진동(x) 최대(mm/s) has 1112 (21.3%) missing valuesMissing
진동(x) 평균(mm/s) has 1112 (21.3%) missing valuesMissing
진동(x) 최소(mm/s) has 1112 (21.3%) missing valuesMissing
진동(y) 최대(mm/s) has 1112 (21.3%) missing valuesMissing
진동(y) 평균(mm/s) has 1112 (21.3%) missing valuesMissing
진동(y) 최소(mm/s) has 1112 (21.3%) missing valuesMissing
진동(z) 최대(mm/s) has 1112 (21.3%) missing valuesMissing
진동(z) 평균(mm/s) has 1112 (21.3%) missing valuesMissing
진동(z) 최소(mm/s) has 1112 (21.3%) missing valuesMissing
흑구온도 최대(℃) has 5211 (100.0%) missing valuesMissing
흑구온도 평균(℃) has 5211 (100.0%) missing valuesMissing
흑구온도 최소(℃) has 5211 (100.0%) missing valuesMissing
이산화질소 최대(ppm) has 4884 (93.7%) missing valuesMissing
이산화질소 평균(ppm) has 4884 (93.7%) missing valuesMissing
이산화질소 최소(ppm) has 4884 (93.7%) missing valuesMissing
일산화탄소 최대(ppm) has 4884 (93.7%) missing valuesMissing
일산화탄소 평균(ppm) has 4884 (93.7%) missing valuesMissing
일산화탄소 최소(ppm) has 4884 (93.7%) missing valuesMissing
오존 최대(ppm) has 5064 (97.2%) missing valuesMissing
오존 평균(ppm) has 5064 (97.2%) missing valuesMissing
오존 최소(ppm) has 5064 (97.2%) missing valuesMissing
초미세먼지 최대(㎍/㎥) is highly skewed (γ1 = 22.51868086)Skewed
초미세먼지 평균(㎍/㎥) is highly skewed (γ1 = 26.81411737)Skewed
초미세먼지 최소(㎍/㎥) is highly skewed (γ1 = 27.15148521)Skewed
조도 평균(lux) is highly skewed (γ1 = 20.5540767)Skewed
조도 최소(lux) is highly skewed (γ1 = 38.00945499)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 244 (4.7%) zerosZeros
초미세먼지 평균(㎍/㎥) has 267 (5.1%) zerosZeros
초미세먼지 최소(㎍/㎥) has 280 (5.4%) zerosZeros
미세먼지 최대(㎍/㎥) has 93 (1.8%) zerosZeros
미세먼지 평균(㎍/㎥) has 121 (2.3%) zerosZeros
미세먼지 최소(㎍/㎥) has 145 (2.8%) zerosZeros
조도 최대(lux) has 2404 (46.1%) zerosZeros
조도 평균(lux) has 2413 (46.3%) zerosZeros
조도 최소(lux) has 2792 (53.6%) zerosZeros
진동(x) 최소(mm/s) has 145 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-11 09:17:15.335218
Analysis finished2024-05-11 09:17:17.129093
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

모델번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
SDOT001
5211 

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 5211
100.0%

Length

2024-05-11T09:17:17.334459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:17.641705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sdot001 5211
100.0%

시리얼
Text

Distinct1017
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
2024-05-11T09:17:18.190392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters57321
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowOC3CL200169
2nd rowV02Q2300005
3rd rowV02Q1940944
4th rowV02Q2300002
5th rowOC3CL200203
ValueCountFrequency (%)
v02q1940689 9
 
0.2%
v02q1940354 9
 
0.2%
v02q1940677 9
 
0.2%
v02q1940701 9
 
0.2%
v02q1940510 9
 
0.2%
oc3cl200191 9
 
0.2%
v02q1940537 9
 
0.2%
v02q1940666 9
 
0.2%
v02q1940589 9
 
0.2%
v02q1940269 9
 
0.2%
Other values (1007) 5121
98.3%
2024-05-11T09:17:19.327754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12166
21.2%
2 6989
12.2%
1 5998
10.5%
4 5456
9.5%
9 4917
8.6%
V 3885
 
6.8%
Q 3885
 
6.8%
3 2811
 
4.9%
C 2618
 
4.6%
5 1544
 
2.7%
Other values (6) 7052
12.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44247
77.2%
Uppercase Letter 13074
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12166
27.5%
2 6989
15.8%
1 5998
13.6%
4 5456
12.3%
9 4917
11.1%
3 2811
 
6.4%
5 1544
 
3.5%
7 1512
 
3.4%
6 1500
 
3.4%
8 1354
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
V 3885
29.7%
Q 3885
29.7%
C 2618
20.0%
O 1326
 
10.1%
L 1326
 
10.1%
D 34
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 44247
77.2%
Latin 13074
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12166
27.5%
2 6989
15.8%
1 5998
13.6%
4 5456
12.3%
9 4917
11.1%
3 2811
 
6.4%
5 1544
 
3.5%
7 1512
 
3.4%
6 1500
 
3.4%
8 1354
 
3.1%
Latin
ValueCountFrequency (%)
V 3885
29.7%
Q 3885
29.7%
C 2618
20.0%
O 1326
 
10.1%
L 1326
 
10.1%
D 34
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12166
21.2%
2 6989
12.2%
1 5998
10.5%
4 5456
9.5%
9 4917
8.6%
V 3885
 
6.8%
Q 3885
 
6.8%
3 2811
 
4.9%
C 2618
 
4.6%
5 1544
 
2.7%
Other values (6) 7052
12.3%

측정시간
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
2024-01-21_01:07:00
1015 
2024-01-21_07:07:00
1013 
2024-01-21_12:07:00
958 
2024-01-21_08:07:00
886 
2024-01-21_04:07:00
389 
Other values (4)
950 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-21_12:07:00
2nd row2024-01-21_12:07:00
3rd row2024-01-21_12:07:00
4th row2024-01-21_12:07:00
5th row2024-01-21_12:07:00

Common Values

ValueCountFrequency (%)
2024-01-21_01:07:00 1015
19.5%
2024-01-21_07:07:00 1013
19.4%
2024-01-21_12:07:00 958
18.4%
2024-01-21_08:07:00 886
17.0%
2024-01-21_04:07:00 389
 
7.5%
2024-01-21_05:07:00 389
 
7.5%
2024-01-21_03:07:00 245
 
4.7%
2024-01-21_02:07:00 187
 
3.6%
2024-01-21_06:07:00 129
 
2.5%

Length

2024-05-11T09:17:19.845700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:20.312840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-21_01:07:00 1015
19.5%
2024-01-21_07:07:00 1013
19.4%
2024-01-21_12:07:00 958
18.4%
2024-01-21_08:07:00 886
17.0%
2024-01-21_04:07:00 389
 
7.5%
2024-01-21_05:07:00 389
 
7.5%
2024-01-21_03:07:00 245
 
4.7%
2024-01-21_02:07:00 187
 
3.6%
2024-01-21_06:07:00 129
 
2.5%

지역
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
residential_area
3686 
roads_and_parks
672 
traditional_markets
 
238
main_street
 
196
industrial_area
 
190
Other values (3)
 
229

Length

Max length19
Median length16
Mean length15.668969
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
residential_area 3686
70.7%
roads_and_parks 672
 
12.9%
traditional_markets 238
 
4.6%
main_street 196
 
3.8%
industrial_area 190
 
3.6%
commercial_area 161
 
3.1%
parks 42
 
0.8%
public_facilities 26
 
0.5%

Length

2024-05-11T09:17:20.805144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:21.142474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
residential_area 3686
70.7%
roads_and_parks 672
 
12.9%
traditional_markets 238
 
4.6%
main_street 196
 
3.8%
industrial_area 190
 
3.6%
commercial_area 161
 
3.1%
parks 42
 
0.8%
public_facilities 26
 
0.5%

자치구
Categorical

Distinct26
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
Yangcheon-gu
475 
Gangdong-gu
454 
Mapo-gu
407 
Gwanak-gu
402 
Seongdong-gu
 
289
Other values (21)
3184 

Length

Max length16
Median length13
Mean length10.13318
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Yangcheon-gu 475
 
9.1%
Gangdong-gu 454
 
8.7%
Mapo-gu 407
 
7.8%
Gwanak-gu 402
 
7.7%
Seongdong-gu 289
 
5.5%
Jongno-gu 262
 
5.0%
Gangseo-gu 214
 
4.1%
Dobong-gu 202
 
3.9%
Songpa-gu 201
 
3.9%
Gangnam-gu 189
 
3.6%
Other values (16) 2116
40.6%

Length

2024-05-11T09:17:21.571607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
yangcheon-gu 475
 
9.1%
gangdong-gu 454
 
8.7%
mapo-gu 407
 
7.8%
gwanak-gu 402
 
7.7%
seongdong-gu 289
 
5.5%
jongno-gu 262
 
5.0%
gangseo-gu 214
 
4.1%
dobong-gu 202
 
3.9%
songpa-gu 201
 
3.9%
gangnam-gu 189
 
3.6%
Other values (16) 2116
40.6%

행정동
Text

Distinct399
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
2024-05-11T09:17:22.097659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length12.493187
Min length7

Characters and Unicode

Total characters65102
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 rowSinnae1-dong
2nd rowJingwan-dong
3rd rowMuk2-dong
4th rowSinllim-dong
5th rowMangubon-dong
ValueCountFrequency (%)
cheonho2-dong 64
 
1.2%
amsa1-dong 61
 
1.2%
seongsan-dong2 55
 
1.1%
mangwon-dong1 51
 
1.0%
sinllim-dong 49
 
0.9%
sinjeong3-dong 49
 
0.9%
mok5-dong 49
 
0.9%
cheongnyong-dong 46
 
0.9%
mok2-dong 45
 
0.9%
ihwa-dong 44
 
0.8%
Other values (389) 4698
90.2%
2024-05-11T09:17:23.185521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 10807
16.6%
o 9219
14.2%
g 9009
13.8%
- 5517
 
8.5%
d 5504
 
8.5%
a 3557
 
5.5%
e 2692
 
4.1%
S 1518
 
2.3%
h 1324
 
2.0%
i 1320
 
2.0%
Other values (42) 14635
22.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50656
77.8%
Dash Punctuation 5517
 
8.5%
Uppercase Letter 5233
 
8.0%
Decimal Number 3545
 
5.4%
Other Punctuation 143
 
0.2%
Connector Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 10807
21.3%
o 9219
18.2%
g 9009
17.8%
d 5504
10.9%
a 3557
 
7.0%
e 2692
 
5.3%
h 1324
 
2.6%
i 1320
 
2.6%
u 1199
 
2.4%
m 817
 
1.6%
Other values (12) 5208
10.3%
Uppercase Letter
ValueCountFrequency (%)
S 1518
29.0%
G 491
 
9.4%
M 491
 
9.4%
J 419
 
8.0%
D 364
 
7.0%
B 357
 
6.8%
C 353
 
6.7%
H 326
 
6.2%
Y 274
 
5.2%
I 187
 
3.6%
Other values (7) 453
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 1244
35.1%
2 1124
31.7%
3 534
15.1%
4 320
 
9.0%
5 124
 
3.5%
7 83
 
2.3%
6 79
 
2.2%
8 25
 
0.7%
9 7
 
0.2%
0 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5517
100.0%
Other Punctuation
ValueCountFrequency (%)
. 143
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 55889
85.8%
Common 9213
 
14.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 10807
19.3%
o 9219
16.5%
g 9009
16.1%
d 5504
9.8%
a 3557
 
6.4%
e 2692
 
4.8%
S 1518
 
2.7%
h 1324
 
2.4%
i 1320
 
2.4%
u 1199
 
2.1%
Other values (29) 9740
17.4%
Common
ValueCountFrequency (%)
- 5517
59.9%
1 1244
 
13.5%
2 1124
 
12.2%
3 534
 
5.8%
4 320
 
3.5%
. 143
 
1.6%
5 124
 
1.3%
7 83
 
0.9%
6 79
 
0.9%
8 25
 
0.3%
Other values (3) 20
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 65102
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 10807
16.6%
o 9219
14.2%
g 9009
13.8%
- 5517
 
8.5%
d 5504
 
8.5%
a 3557
 
5.5%
e 2692
 
4.1%
S 1518
 
2.3%
h 1324
 
2.0%
i 1320
 
2.0%
Other values (42) 14635
22.5%

초미세먼지 최대(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct70
Distinct (%)1.4%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.7243973
Minimum0
Maximum1000
Zeros244
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:23.645319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile5
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.885506
Coefficient of variation (CV)8.4424539
Kurtosis541.25191
Mean4.7243973
Median Absolute Deviation (MAD)0
Skewness22.518681
Sum24496
Variance1590.8536
MonotonicityNot monotonic
2024-05-11T09:17:24.153326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 4228
81.1%
0 244
 
4.7%
1 157
 
3.0%
3 135
 
2.6%
5 84
 
1.6%
4 80
 
1.5%
6 49
 
0.9%
7 37
 
0.7%
8 17
 
0.3%
9 16
 
0.3%
Other values (60) 138
 
2.6%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 244
 
4.7%
1 157
 
3.0%
2 4228
81.1%
3 135
 
2.6%
4 80
 
1.5%
5 84
 
1.6%
6 49
 
0.9%
7 37
 
0.7%
8 17
 
0.3%
9 16
 
0.3%
ValueCountFrequency (%)
1000 7
0.1%
669 1
 
< 0.1%
468 1
 
< 0.1%
272 1
 
< 0.1%
254 1
 
< 0.1%
245 1
 
< 0.1%
223 1
 
< 0.1%
219 1
 
< 0.1%
193 1
 
< 0.1%
183 1
 
< 0.1%

초미세먼지 평균(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct32
Distinct (%)0.6%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.8025072
Minimum0
Maximum1000
Zeros267
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:24.566712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.841214
Coefficient of variation (CV)13.145805
Kurtosis722.74258
Mean2.8025072
Median Absolute Deviation (MAD)0
Skewness26.814117
Sum14531
Variance1357.275
MonotonicityNot monotonic
2024-05-11T09:17:24.990146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 3721
71.4%
2 965
 
18.5%
0 267
 
5.1%
5 74
 
1.4%
3 46
 
0.9%
4 39
 
0.7%
6 17
 
0.3%
7 10
 
0.2%
1000 7
 
0.1%
10 6
 
0.1%
Other values (22) 33
 
0.6%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 267
 
5.1%
1 3721
71.4%
2 965
 
18.5%
3 46
 
0.9%
4 39
 
0.7%
5 74
 
1.4%
6 17
 
0.3%
7 10
 
0.2%
8 3
 
0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
1000 7
0.1%
169 1
 
< 0.1%
95 1
 
< 0.1%
94 1
 
< 0.1%
76 1
 
< 0.1%
41 1
 
< 0.1%
38 1
 
< 0.1%
28 2
 
< 0.1%
26 1
 
< 0.1%
25 2
 
< 0.1%

초미세먼지 최소(㎍/㎥)
Real number (ℝ)

SKEWED  ZEROS 

Distinct12
Distinct (%)0.2%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean2.3874638
Minimum0
Maximum1000
Zeros280
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:25.566522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.691397
Coefficient of variation (CV)15.368357
Kurtosis735.79732
Mean2.3874638
Median Absolute Deviation (MAD)0
Skewness27.151485
Sum12379
Variance1346.2586
MonotonicityNot monotonic
2024-05-11T09:17:25.956189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4767
91.5%
0 280
 
5.4%
5 65
 
1.2%
4 21
 
0.4%
2 21
 
0.4%
3 11
 
0.2%
6 7
 
0.1%
1000 7
 
0.1%
18 2
 
< 0.1%
7 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 280
 
5.4%
1 4767
91.5%
2 21
 
0.4%
3 11
 
0.2%
4 21
 
0.4%
5 65
 
1.2%
6 7
 
0.1%
7 2
 
< 0.1%
17 1
 
< 0.1%
18 2
 
< 0.1%
ValueCountFrequency (%)
1000 7
 
0.1%
19 1
 
< 0.1%
18 2
 
< 0.1%
17 1
 
< 0.1%
7 2
 
< 0.1%
6 7
 
0.1%
5 65
1.2%
4 21
 
0.4%
3 11
 
0.2%
2 21
 
0.4%

미세먼지 최대(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)1.5%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean30.304918
Minimum0
Maximum1000
Zeros93
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:26.357438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q33
95-th percentile11
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation158.92919
Coefficient of variation (CV)5.2443366
Kurtosis32.962114
Mean30.304918
Median Absolute Deviation (MAD)0
Skewness5.8961264
Sum157131
Variance25258.488
MonotonicityNot monotonic
2024-05-11T09:17:26.820405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 4227
81.1%
2 152
 
2.9%
4 139
 
2.7%
1000 134
 
2.6%
5 104
 
2.0%
0 93
 
1.8%
6 55
 
1.1%
7 46
 
0.9%
8 36
 
0.7%
1 30
 
0.6%
Other values (66) 169
 
3.2%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 93
 
1.8%
1 30
 
0.6%
2 152
 
2.9%
3 4227
81.1%
4 139
 
2.7%
5 104
 
2.0%
6 55
 
1.1%
7 46
 
0.9%
8 36
 
0.7%
9 19
 
0.4%
ValueCountFrequency (%)
1000 134
2.6%
736 1
 
< 0.1%
514 1
 
< 0.1%
299 1
 
< 0.1%
279 1
 
< 0.1%
268 1
 
< 0.1%
245 1
 
< 0.1%
241 1
 
< 0.1%
212 1
 
< 0.1%
203 1
 
< 0.1%

미세먼지 평균(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)0.7%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean28.249373
Minimum0
Maximum1000
Zeros121
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:27.243767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q33
95-th percentile5
Maximum1000
Range1000
Interquartile range (IQR)1

Descriptive statistics

Standard deviation158.33976
Coefficient of variation (CV)5.6050716
Kurtosis33.71066
Mean28.249373
Median Absolute Deviation (MAD)0
Skewness5.9732039
Sum146473
Variance25071.48
MonotonicityNot monotonic
2024-05-11T09:17:27.622495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2 3713
71.3%
3 964
 
18.5%
1000 134
 
2.6%
0 121
 
2.3%
5 71
 
1.4%
4 59
 
1.1%
6 29
 
0.6%
1 28
 
0.5%
7 14
 
0.3%
8 11
 
0.2%
Other values (24) 41
 
0.8%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 121
 
2.3%
1 28
 
0.5%
2 3713
71.3%
3 964
 
18.5%
4 59
 
1.1%
5 71
 
1.4%
6 29
 
0.6%
7 14
 
0.3%
8 11
 
0.2%
9 4
 
0.1%
ValueCountFrequency (%)
1000 134
2.6%
186 1
 
< 0.1%
105 1
 
< 0.1%
103 1
 
< 0.1%
84 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
29 1
 
< 0.1%

미세먼지 최소(㎍/㎥)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.3%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean27.811765
Minimum0
Maximum1000
Zeros145
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:27.934779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum1000
Range1000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation158.36552
Coefficient of variation (CV)5.6941917
Kurtosis33.752679
Mean27.811765
Median Absolute Deviation (MAD)0
Skewness5.9781953
Sum144204
Variance25079.638
MonotonicityNot monotonic
2024-05-11T09:17:28.204959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 4765
91.4%
0 145
 
2.8%
1000 134
 
2.6%
5 62
 
1.2%
4 28
 
0.5%
3 19
 
0.4%
1 12
 
0.2%
6 7
 
0.1%
7 7
 
0.1%
19 2
 
< 0.1%
Other values (3) 4
 
0.1%
(Missing) 26
 
0.5%
ValueCountFrequency (%)
0 145
 
2.8%
1 12
 
0.2%
2 4765
91.4%
3 19
 
0.4%
4 28
 
0.5%
5 62
 
1.2%
6 7
 
0.1%
7 7
 
0.1%
8 2
 
< 0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
1000 134
2.6%
20 1
 
< 0.1%
19 2
 
< 0.1%
18 1
 
< 0.1%
8 2
 
< 0.1%
7 7
 
0.1%
6 7
 
0.1%
5 62
1.2%
4 28
 
0.5%
3 19
 
0.4%

온도 최대(℃)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)1.8%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean2.7834791
Minimum-40
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)2.2%
Memory size45.9 KiB
2024-05-11T09:17:28.464978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile1.6
Q13
median3.7
Q34.1
95-th percentile4.8
Maximum6.8
Range46.8
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation5.7659785
Coefficient of variation (CV)2.0715005
Kurtosis48.989324
Mean2.7834791
Median Absolute Deviation (MAD)0.5
Skewness-7.0188515
Sum13680.8
Variance33.246508
MonotonicityNot monotonic
2024-05-11T09:17:28.873077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 308
 
5.9%
4.0 276
 
5.3%
3.8 247
 
4.7%
3.7 236
 
4.5%
4.1 234
 
4.5%
3.4 215
 
4.1%
3.6 211
 
4.0%
4.2 205
 
3.9%
4.3 204
 
3.9%
3.5 202
 
3.9%
Other values (79) 2577
49.5%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-14.2 1
 
< 0.1%
-14.0 1
 
< 0.1%
-13.8 1
 
< 0.1%
-13.5 1
 
< 0.1%
-12.9 2
 
< 0.1%
-10.1 1
 
< 0.1%
-9.9 2
 
< 0.1%
-9.7 2
 
< 0.1%
-9.6 1
 
< 0.1%
ValueCountFrequency (%)
6.8 1
 
< 0.1%
6.7 1
 
< 0.1%
6.6 1
 
< 0.1%
6.4 3
0.1%
6.2 2
 
< 0.1%
6.1 2
 
< 0.1%
6.0 2
 
< 0.1%
5.9 4
0.1%
5.8 2
 
< 0.1%
5.7 5
0.1%

온도 평균(℃)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)1.8%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean2.64706
Minimum-40
Maximum6.6
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)2.2%
Memory size45.9 KiB
2024-05-11T09:17:29.189660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile1.5
Q12.9
median3.5
Q34
95-th percentile4.6
Maximum6.6
Range46.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation5.745336
Coefficient of variation (CV)2.1704593
Kurtosis49.071935
Mean2.64706
Median Absolute Deviation (MAD)0.5
Skewness-7.0278323
Sum13010.3
Variance33.008886
MonotonicityNot monotonic
2024-05-11T09:17:29.577422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 307
 
5.9%
3.7 260
 
5.0%
3.9 257
 
4.9%
4.0 248
 
4.8%
3.6 243
 
4.7%
3.5 236
 
4.5%
3.4 216
 
4.1%
3.3 214
 
4.1%
4.1 206
 
4.0%
4.2 200
 
3.8%
Other values (80) 2528
48.5%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-14.3 1
 
< 0.1%
-14.1 1
 
< 0.1%
-13.9 1
 
< 0.1%
-13.7 1
 
< 0.1%
-13.1 1
 
< 0.1%
-12.9 1
 
< 0.1%
-10.2 1
 
< 0.1%
-10.0 2
 
< 0.1%
-9.9 2
 
< 0.1%
ValueCountFrequency (%)
6.6 1
 
< 0.1%
6.5 1
 
< 0.1%
6.3 1
 
< 0.1%
6.2 2
< 0.1%
6.1 1
 
< 0.1%
6.0 1
 
< 0.1%
5.9 2
< 0.1%
5.8 2
< 0.1%
5.7 4
0.1%
5.6 4
0.1%

온도 최소(℃)
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)1.7%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean2.5197558
Minimum-40
Maximum6.4
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)2.2%
Memory size45.9 KiB
2024-05-11T09:17:29.986844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-40
5-th percentile1.4
Q12.8
median3.4
Q33.9
95-th percentile4.4
Maximum6.4
Range46.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation5.7261901
Coefficient of variation (CV)2.2725178
Kurtosis49.145108
Mean2.5197558
Median Absolute Deviation (MAD)0.5
Skewness-7.0356769
Sum12384.6
Variance32.789254
MonotonicityNot monotonic
2024-05-11T09:17:30.399200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7 303
 
5.8%
3.6 272
 
5.2%
3.9 253
 
4.9%
3.4 251
 
4.8%
3.8 245
 
4.7%
3.5 243
 
4.7%
3.3 231
 
4.4%
4.0 223
 
4.3%
3.1 217
 
4.2%
3.2 210
 
4.0%
Other values (74) 2467
47.3%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
-40.0 84
1.6%
-14.3 1
 
< 0.1%
-14.2 1
 
< 0.1%
-13.9 2
 
< 0.1%
-13.4 1
 
< 0.1%
-13.0 1
 
< 0.1%
-10.3 1
 
< 0.1%
-10.2 1
 
< 0.1%
-10.0 3
 
0.1%
-9.9 1
 
< 0.1%
ValueCountFrequency (%)
6.4 1
 
< 0.1%
6.3 1
 
< 0.1%
6.1 1
 
< 0.1%
6.0 1
 
< 0.1%
5.9 2
< 0.1%
5.8 1
 
< 0.1%
5.7 2
< 0.1%
5.6 2
< 0.1%
5.5 4
0.1%
5.4 4
0.1%

습도 최대(%)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)1.0%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean69.694201
Minimum52
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:30.920839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile60
Q163
median66
Q370
95-th percentile100
Maximum100
Range48
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.672015
Coefficient of variation (CV)0.16747469
Kurtosis1.9384544
Mean69.694201
Median Absolute Deviation (MAD)3
Skewness1.7651908
Sum342547
Variance136.23594
MonotonicityNot monotonic
2024-05-11T09:17:31.565662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
64 471
 
9.0%
100 466
 
8.9%
63 457
 
8.8%
65 433
 
8.3%
66 399
 
7.7%
62 368
 
7.1%
67 327
 
6.3%
61 276
 
5.3%
68 255
 
4.9%
69 217
 
4.2%
Other values (39) 1246
23.9%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
52 2
 
< 0.1%
53 1
 
< 0.1%
54 6
 
0.1%
55 9
 
0.2%
56 22
 
0.4%
57 34
 
0.7%
58 58
 
1.1%
59 85
 
1.6%
60 171
3.3%
61 276
5.3%
ValueCountFrequency (%)
100 466
8.9%
99 8
 
0.2%
98 6
 
0.1%
97 10
 
0.2%
96 7
 
0.1%
95 15
 
0.3%
94 11
 
0.2%
93 11
 
0.2%
92 15
 
0.3%
91 10
 
0.2%

습도 평균(%)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)1.0%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean68.743235
Minimum51
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:32.200349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile59
Q162
median65
Q369
95-th percentile100
Maximum100
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.75044
Coefficient of variation (CV)0.17093231
Kurtosis2.1926003
Mean68.743235
Median Absolute Deviation (MAD)3
Skewness1.8385767
Sum337873
Variance138.07285
MonotonicityNot monotonic
2024-05-11T09:17:33.092057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 497
9.5%
64 458
 
8.8%
62 446
 
8.6%
100 432
 
8.3%
65 430
 
8.3%
61 371
 
7.1%
66 347
 
6.7%
67 268
 
5.1%
60 263
 
5.0%
68 222
 
4.3%
Other values (40) 1181
22.7%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
51 1
 
< 0.1%
52 1
 
< 0.1%
53 5
 
0.1%
54 10
 
0.2%
55 17
 
0.3%
56 28
 
0.5%
57 46
 
0.9%
58 80
 
1.5%
59 147
2.8%
60 263
5.0%
ValueCountFrequency (%)
100 432
8.3%
99 17
 
0.3%
98 10
 
0.2%
97 9
 
0.2%
96 9
 
0.2%
95 10
 
0.2%
94 14
 
0.3%
93 9
 
0.2%
92 13
 
0.2%
91 10
 
0.2%

습도 최소(%)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)1.0%
Missing296
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean67.794507
Minimum51
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:33.921373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile58
Q161
median64
Q367
95-th percentile100
Maximum100
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.830633
Coefficient of variation (CV)0.17450725
Kurtosis2.4527449
Mean67.794507
Median Absolute Deviation (MAD)3
Skewness1.9091385
Sum333210
Variance139.96387
MonotonicityNot monotonic
2024-05-11T09:17:34.673632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 546
10.5%
63 475
9.1%
64 459
8.8%
61 446
8.6%
100 418
 
8.0%
65 364
 
7.0%
60 337
 
6.5%
66 280
 
5.4%
59 247
 
4.7%
67 238
 
4.6%
Other values (40) 1105
21.2%
(Missing) 296
 
5.7%
ValueCountFrequency (%)
51 2
 
< 0.1%
52 4
 
0.1%
53 11
 
0.2%
54 11
 
0.2%
55 22
 
0.4%
56 46
 
0.9%
57 70
 
1.3%
58 129
 
2.5%
59 247
4.7%
60 337
6.5%
ValueCountFrequency (%)
100 418
8.0%
99 11
 
0.2%
98 8
 
0.2%
97 5
 
0.1%
96 15
 
0.3%
95 5
 
0.1%
94 12
 
0.2%
93 8
 
0.2%
92 19
 
0.4%
91 10
 
0.2%

풍속 최대(m/s)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)15.0%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean1.7273038
Minimum0.1
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:35.353207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.8
median1.4
Q32
95-th percentile3.74
Maximum11.9
Range11.8
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.8956345
Coefficient of variation (CV)1.0974529
Kurtosis17.071666
Mean1.7273038
Median Absolute Deviation (MAD)0.6
Skewness3.8310957
Sum506.1
Variance3.59343
MonotonicityNot monotonic
2024-05-11T09:17:36.081484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.1 29
 
0.6%
1.1 20
 
0.4%
1.3 19
 
0.4%
1.6 16
 
0.3%
1.7 14
 
0.3%
1.4 13
 
0.2%
1.0 12
 
0.2%
0.8 12
 
0.2%
0.6 11
 
0.2%
1.2 11
 
0.2%
Other values (34) 136
 
2.6%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 29
0.6%
0.2 1
 
< 0.1%
0.4 7
 
0.1%
0.5 4
 
0.1%
0.6 11
 
0.2%
0.7 11
 
0.2%
0.8 12
0.2%
0.9 9
 
0.2%
1.0 12
0.2%
1.1 20
0.4%
ValueCountFrequency (%)
11.9 3
0.1%
11.7 1
 
< 0.1%
11.3 1
 
< 0.1%
11.1 1
 
< 0.1%
11.0 2
< 0.1%
5.7 1
 
< 0.1%
5.4 2
< 0.1%
5.1 1
 
< 0.1%
4.9 2
< 0.1%
3.8 1
 
< 0.1%

풍속 평균(m/s)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)10.6%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean1.0013652
Minimum0.1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:36.617503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.2
median0.6
Q31
95-th percentile2.58
Maximum11
Range10.9
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.7978292
Coefficient of variation (CV)1.7953782
Kurtosis23.449096
Mean1.0013652
Median Absolute Deviation (MAD)0.4
Skewness4.7266808
Sum293.4
Variance3.2321899
MonotonicityNot monotonic
2024-05-11T09:17:37.185680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.1 54
 
1.0%
0.3 25
 
0.5%
0.2 24
 
0.5%
0.4 23
 
0.4%
0.6 19
 
0.4%
1.0 18
 
0.3%
0.9 16
 
0.3%
0.8 16
 
0.3%
0.7 16
 
0.3%
1.1 13
 
0.2%
Other values (21) 69
 
1.3%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 54
1.0%
0.2 24
0.5%
0.3 25
0.5%
0.4 23
0.4%
0.5 12
 
0.2%
0.6 19
 
0.4%
0.7 16
 
0.3%
0.8 16
 
0.3%
0.9 16
 
0.3%
1.0 18
 
0.3%
ValueCountFrequency (%)
11.0 5
0.1%
10.9 3
0.1%
4.0 2
 
< 0.1%
3.6 1
 
< 0.1%
3.5 1
 
< 0.1%
3.0 1
 
< 0.1%
2.8 1
 
< 0.1%
2.7 1
 
< 0.1%
2.5 2
 
< 0.1%
2.3 2
 
< 0.1%

풍속 최소(m/s)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)7.8%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.60409556
Minimum0.1
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:37.868096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.4
95-th percentile1.64
Maximum10.9
Range10.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation1.7638251
Coefficient of variation (CV)2.9197783
Kurtosis28.838215
Mean0.60409556
Median Absolute Deviation (MAD)0
Skewness5.4122413
Sum177
Variance3.1110791
MonotonicityNot monotonic
2024-05-11T09:17:38.411635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.1 160
 
3.1%
0.2 24
 
0.5%
0.5 20
 
0.4%
0.3 19
 
0.4%
0.4 17
 
0.3%
0.6 12
 
0.2%
0.7 8
 
0.2%
10.8 4
 
0.1%
10.9 4
 
0.1%
0.8 4
 
0.1%
Other values (13) 21
 
0.4%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 160
3.1%
0.2 24
 
0.5%
0.3 19
 
0.4%
0.4 17
 
0.3%
0.5 20
 
0.4%
0.6 12
 
0.2%
0.7 8
 
0.2%
0.8 4
 
0.1%
0.9 1
 
< 0.1%
1.0 3
 
0.1%
ValueCountFrequency (%)
10.9 4
0.1%
10.8 4
0.1%
2.8 1
 
< 0.1%
2.3 1
 
< 0.1%
2.2 1
 
< 0.1%
2.0 1
 
< 0.1%
1.8 2
< 0.1%
1.7 1
 
< 0.1%
1.6 1
 
< 0.1%
1.4 1
 
< 0.1%

풍향 최대(m/s)
Real number (ℝ)

MISSING 

Distinct239
Distinct (%)81.6%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean273.52048
Minimum0.1
Maximum359.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:39.015035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile49.98
Q1237
median328.2
Q3354.8
95-th percentile359.2
Maximum359.9
Range359.8
Interquartile range (IQR)117.8

Descriptive statistics

Standard deviation111.16536
Coefficient of variation (CV)0.40642426
Kurtosis0.091506037
Mean273.52048
Median Absolute Deviation (MAD)29.8
Skewness-1.2476592
Sum80141.5
Variance12357.737
MonotonicityNot monotonic
2024-05-11T09:17:39.656120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358.4 4
 
0.1%
1.9 4
 
0.1%
0.1 4
 
0.1%
355.7 3
 
0.1%
354.9 3
 
0.1%
359.3 3
 
0.1%
356.2 3
 
0.1%
359.2 3
 
0.1%
358.9 3
 
0.1%
1.8 3
 
0.1%
Other values (229) 260
 
5.0%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 4
0.1%
1.8 3
0.1%
1.9 4
0.1%
2.0 1
 
< 0.1%
37.8 1
 
< 0.1%
39.7 1
 
< 0.1%
48.0 1
 
< 0.1%
51.3 2
< 0.1%
53.0 1
 
< 0.1%
55.8 1
 
< 0.1%
ValueCountFrequency (%)
359.9 2
< 0.1%
359.8 3
0.1%
359.6 1
 
< 0.1%
359.5 3
0.1%
359.4 1
 
< 0.1%
359.3 3
0.1%
359.2 3
0.1%
359.1 3
0.1%
358.9 3
0.1%
358.8 2
< 0.1%

풍향 평균(m/s)
Real number (ℝ)

MISSING 

Distinct180
Distinct (%)61.4%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean160.33618
Minimum0.1
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:40.354320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2
Q142
median140
Q3290
95-th percentile338
Maximum359
Range358.9
Interquartile range (IQR)248

Descriptive statistics

Standard deviation124.85442
Coefficient of variation (CV)0.77870399
Kurtosis-1.6216577
Mean160.33618
Median Absolute Deviation (MAD)113
Skewness0.1610391
Sum46978.5
Variance15588.626
MonotonicityNot monotonic
2024-05-11T09:17:40.955998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 10
 
0.2%
305.0 5
 
0.1%
53.0 5
 
0.1%
310.0 5
 
0.1%
0.1 5
 
0.1%
38.0 4
 
0.1%
46.0 4
 
0.1%
35.0 4
 
0.1%
39.0 4
 
0.1%
306.0 4
 
0.1%
Other values (170) 243
 
4.7%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 5
0.1%
1.0 3
 
0.1%
2.0 10
0.2%
3.0 2
 
< 0.1%
4.0 1
 
< 0.1%
5.0 3
 
0.1%
7.0 2
 
< 0.1%
8.0 2
 
< 0.1%
9.0 1
 
< 0.1%
11.0 2
 
< 0.1%
ValueCountFrequency (%)
359.0 1
< 0.1%
358.0 1
< 0.1%
357.0 1
< 0.1%
356.0 1
< 0.1%
355.0 1
< 0.1%
354.0 1
< 0.1%
353.0 1
< 0.1%
352.0 2
< 0.1%
346.0 1
< 0.1%
344.0 1
< 0.1%

풍향 최소(m/s)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)80.2%
Missing4918
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean75.772355
Minimum0.1
Maximum338.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:41.871845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.8
Q14.2
median21.1
Q3117.2
95-th percentile293
Maximum338.2
Range338.1
Interquartile range (IQR)113

Descriptive statistics

Standard deviation101.23654
Coefficient of variation (CV)1.3360616
Kurtosis0.0266131
Mean75.772355
Median Absolute Deviation (MAD)19.4
Skewness1.2503099
Sum22201.3
Variance10248.836
MonotonicityNot monotonic
2024-05-11T09:17:42.367689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 6
 
0.1%
1.8 5
 
0.1%
1.6 5
 
0.1%
1.1 5
 
0.1%
3.7 3
 
0.1%
0.8 3
 
0.1%
2.0 3
 
0.1%
4.5 3
 
0.1%
7.7 3
 
0.1%
1.4 3
 
0.1%
Other values (225) 254
 
4.9%
(Missing) 4918
94.4%
ValueCountFrequency (%)
0.1 6
0.1%
0.2 2
 
< 0.1%
0.3 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 1
 
< 0.1%
0.6 2
 
< 0.1%
0.7 1
 
< 0.1%
0.8 3
0.1%
0.9 1
 
< 0.1%
1.1 5
0.1%
ValueCountFrequency (%)
338.2 1
< 0.1%
331.9 2
< 0.1%
329.1 1
< 0.1%
321.2 1
< 0.1%
315.2 1
< 0.1%
309.5 1
< 0.1%
306.7 1
< 0.1%
301.2 1
< 0.1%
299.7 1
< 0.1%
297.7 1
< 0.1%

조도 최대(lux)
Real number (ℝ)

MISSING  ZEROS 

Distinct349
Distinct (%)8.5%
Missing1081
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean379.51235
Minimum0
Maximum99357
Zeros2404
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:43.027069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile242
Maximum99357
Range99357
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5426.453
Coefficient of variation (CV)14.298489
Kurtosis284.72533
Mean379.51235
Median Absolute Deviation (MAD)0
Skewness16.817744
Sum1567386
Variance29446392
MonotonicityNot monotonic
2024-05-11T09:17:43.728959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2404
46.1%
1 181
 
3.5%
2 125
 
2.4%
3 93
 
1.8%
5 82
 
1.6%
4 60
 
1.2%
6 57
 
1.1%
8 38
 
0.7%
11 29
 
0.6%
7 27
 
0.5%
Other values (339) 1034
19.8%
(Missing) 1081
20.7%
ValueCountFrequency (%)
0 2404
46.1%
1 181
 
3.5%
2 125
 
2.4%
3 93
 
1.8%
4 60
 
1.2%
5 82
 
1.6%
6 57
 
1.1%
7 27
 
0.5%
8 38
 
0.7%
9 27
 
0.5%
ValueCountFrequency (%)
99357 1
< 0.1%
98253 1
< 0.1%
97579 1
< 0.1%
97362 1
< 0.1%
96217 1
< 0.1%
95201 1
< 0.1%
93592 1
< 0.1%
92257 1
< 0.1%
90117 1
< 0.1%
89248 2
< 0.1%

조도 평균(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct171
Distinct (%)4.1%
Missing1081
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean178.95835
Minimum0
Maximum76528
Zeros2413
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:44.190270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile69
Maximum76528
Range76528
Interquartile range (IQR)9

Descriptive statistics

Standard deviation2896.6967
Coefficient of variation (CV)16.186429
Kurtosis454.93983
Mean178.95835
Median Absolute Deviation (MAD)0
Skewness20.554077
Sum739098
Variance8390851.9
MonotonicityNot monotonic
2024-05-11T09:17:44.896115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2413
46.3%
1 189
 
3.6%
2 124
 
2.4%
3 92
 
1.8%
5 82
 
1.6%
4 64
 
1.2%
6 54
 
1.0%
8 37
 
0.7%
11 30
 
0.6%
24 30
 
0.6%
Other values (161) 1015
19.5%
(Missing) 1081
20.7%
ValueCountFrequency (%)
0 2413
46.3%
1 189
 
3.6%
2 124
 
2.4%
3 92
 
1.8%
4 64
 
1.2%
5 82
 
1.6%
6 54
 
1.0%
7 25
 
0.5%
8 37
 
0.7%
9 25
 
0.5%
ValueCountFrequency (%)
76528 1
< 0.1%
73039 1
< 0.1%
72153 1
< 0.1%
65717 1
< 0.1%
53216 1
< 0.1%
49269 1
< 0.1%
48588 1
< 0.1%
39372 1
< 0.1%
32093 1
< 0.1%
31886 1
< 0.1%

조도 최소(lux)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct115
Distinct (%)2.8%
Missing1081
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean52.360048
Minimum0
Maximum67354
Zeros2792
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:45.585783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile34
Maximum67354
Range67354
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1486.6187
Coefficient of variation (CV)28.392234
Kurtosis1520.6404
Mean52.360048
Median Absolute Deviation (MAD)0
Skewness38.009455
Sum216247
Variance2210035.2
MonotonicityNot monotonic
2024-05-11T09:17:46.230700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2792
53.6%
1 212
 
4.1%
2 154
 
3.0%
3 104
 
2.0%
5 91
 
1.7%
4 73
 
1.4%
6 59
 
1.1%
8 40
 
0.8%
11 37
 
0.7%
7 35
 
0.7%
Other values (105) 533
 
10.2%
(Missing) 1081
 
20.7%
ValueCountFrequency (%)
0 2792
53.6%
1 212
 
4.1%
2 154
 
3.0%
3 104
 
2.0%
4 73
 
1.4%
5 91
 
1.7%
6 59
 
1.1%
7 35
 
0.7%
8 40
 
0.8%
9 26
 
0.5%
ValueCountFrequency (%)
67354 1
 
< 0.1%
52755 1
 
< 0.1%
39490 1
 
< 0.1%
12523 1
 
< 0.1%
9577 1
 
< 0.1%
1722 1
 
< 0.1%
1187 1
 
< 0.1%
491 1
 
< 0.1%
470 1
 
< 0.1%
468 3
0.1%

자외선 최대(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
0.0
4083 
<NA>
1027 
1.4
 
56
1.3
 
45

Length

Max length4
Median length3
Mean length3.1970831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4083
78.4%
<NA> 1027
 
19.7%
1.4 56
 
1.1%
1.3 45
 
0.9%

Length

2024-05-11T09:17:46.943240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:47.391630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4083
78.4%
na 1027
 
19.7%
1.4 56
 
1.1%
1.3 45
 
0.9%

자외선 평균(UV)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
0.0
4083 
<NA>
1027 
1.3
 
60
1.4
 
41

Length

Max length4
Median length3
Mean length3.1970831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4083
78.4%
<NA> 1027
 
19.7%
1.3 60
 
1.2%
1.4 41
 
0.8%

Length

2024-05-11T09:17:47.887486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:48.326552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4083
78.4%
na 1027
 
19.7%
1.3 60
 
1.2%
1.4 41
 
0.8%

자외선 최대(UV).1
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
0.0
4083 
<NA>
1027 
1.3
 
82
1.4
 
19

Length

Max length4
Median length3
Mean length3.1970831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 4083
78.4%
<NA> 1027
 
19.7%
1.3 82
 
1.6%
1.4 19
 
0.4%

Length

2024-05-11T09:17:48.746853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:17:49.094355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 4083
78.4%
na 1027
 
19.7%
1.3 82
 
1.6%
1.4 19
 
0.4%

소음 최대(dB)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)0.9%
Missing139
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean49.22989
Minimum35
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:49.542822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile39
Q144
median48
Q353
95-th percentile66
Maximum79
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.9145748
Coefficient of variation (CV)0.16076767
Kurtosis0.62435897
Mean49.22989
Median Absolute Deviation (MAD)4
Skewness0.93066027
Sum249694
Variance62.640495
MonotonicityNot monotonic
2024-05-11T09:17:49.987520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
48 524
 
10.1%
44 482
 
9.2%
46 313
 
6.0%
45 294
 
5.6%
47 270
 
5.2%
52 257
 
4.9%
49 212
 
4.1%
40 208
 
4.0%
43 207
 
4.0%
42 197
 
3.8%
Other values (34) 2108
40.5%
ValueCountFrequency (%)
35 72
 
1.4%
36 37
 
0.7%
37 42
 
0.8%
38 54
 
1.0%
39 83
 
1.6%
40 208
4.0%
41 156
 
3.0%
42 197
3.8%
43 207
4.0%
44 482
9.2%
ValueCountFrequency (%)
79 5
 
0.1%
78 1
 
< 0.1%
76 2
 
< 0.1%
75 3
 
0.1%
74 4
 
0.1%
73 11
 
0.2%
72 10
 
0.2%
71 34
0.7%
70 31
0.6%
69 43
0.8%

소음 평균(dB)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.8%
Missing139
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean46.428628
Minimum35
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:50.577719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile37
Q141
median45
Q350
95-th percentile62
Maximum79
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.448107
Coefficient of variation (CV)0.16042057
Kurtosis0.82950672
Mean46.428628
Median Absolute Deviation (MAD)4
Skewness1.0133129
Sum235486
Variance55.474298
MonotonicityNot monotonic
2024-05-11T09:17:51.182595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
44 459
 
8.8%
40 344
 
6.6%
45 314
 
6.0%
42 310
 
5.9%
48 310
 
5.9%
41 300
 
5.8%
43 300
 
5.8%
46 268
 
5.1%
47 262
 
5.0%
39 193
 
3.7%
Other values (31) 2012
38.6%
ValueCountFrequency (%)
35 123
 
2.4%
36 113
 
2.2%
37 125
 
2.4%
38 173
 
3.3%
39 193
3.7%
40 344
6.6%
41 300
5.8%
42 310
5.9%
43 300
5.8%
44 459
8.8%
ValueCountFrequency (%)
79 3
 
0.1%
78 3
 
0.1%
73 1
 
< 0.1%
72 2
 
< 0.1%
71 3
 
0.1%
70 9
 
0.2%
69 11
 
0.2%
68 18
0.3%
67 30
0.6%
66 42
0.8%

소음 최소(dB)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)0.7%
Missing139
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean44.518927
Minimum35
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:51.675975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile35
Q140
median44
Q348
95-th percentile59
Maximum78
Range43
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.9446665
Coefficient of variation (CV)0.15599357
Kurtosis0.95356902
Mean44.518927
Median Absolute Deviation (MAD)4
Skewness1.0114445
Sum225800
Variance48.228393
MonotonicityNot monotonic
2024-05-11T09:17:52.135445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
44 510
 
9.8%
40 455
 
8.7%
42 298
 
5.7%
43 285
 
5.5%
39 285
 
5.5%
36 277
 
5.3%
35 258
 
5.0%
48 258
 
5.0%
41 256
 
4.9%
45 251
 
4.8%
Other values (28) 1939
37.2%
ValueCountFrequency (%)
35 258
5.0%
36 277
5.3%
37 173
 
3.3%
38 235
4.5%
39 285
5.5%
40 455
8.7%
41 256
4.9%
42 298
5.7%
43 285
5.5%
44 510
9.8%
ValueCountFrequency (%)
78 4
 
0.1%
77 2
 
< 0.1%
70 3
 
0.1%
69 1
 
< 0.1%
68 2
 
< 0.1%
67 9
 
0.2%
66 11
 
0.2%
65 16
0.3%
64 18
0.3%
63 31
0.6%

진동(x) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.4%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.031417419
Minimum0
Maximum0.22
Zeros18
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:52.762287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.02
median0.02
Q30.04
95-th percentile0.07
Maximum0.22
Range0.22
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.022103095
Coefficient of variation (CV)0.70352994
Kurtosis4.851117
Mean0.031417419
Median Absolute Deviation (MAD)0.01
Skewness1.7458653
Sum128.78
Variance0.0004885468
MonotonicityNot monotonic
2024-05-11T09:17:53.227400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.02 1162
22.3%
0.01 898
17.2%
0.03 697
13.4%
0.04 415
 
8.0%
0.05 354
 
6.8%
0.06 254
 
4.9%
0.07 105
 
2.0%
0.08 87
 
1.7%
0.09 48
 
0.9%
0.0 18
 
0.3%
Other values (8) 61
 
1.2%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 18
 
0.3%
0.01 898
17.2%
0.02 1162
22.3%
0.03 697
13.4%
0.04 415
 
8.0%
0.05 354
 
6.8%
0.06 254
 
4.9%
0.07 105
 
2.0%
0.08 87
 
1.7%
0.09 48
 
0.9%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.16 2
 
< 0.1%
0.15 5
 
0.1%
0.14 1
 
< 0.1%
0.13 18
 
0.3%
0.12 8
 
0.2%
0.11 15
 
0.3%
0.1 11
 
0.2%
0.09 48
0.9%
0.08 87
1.7%

진동(x) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.4%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.027648207
Minimum0
Maximum0.16
Zeros30
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:53.463308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.01
median0.02
Q30.04
95-th percentile0.07
Maximum0.16
Range0.16
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.020901642
Coefficient of variation (CV)0.75598546
Kurtosis4.0751989
Mean0.027648207
Median Absolute Deviation (MAD)0.01
Skewness1.7353032
Sum113.33
Variance0.00043687865
MonotonicityNot monotonic
2024-05-11T09:17:53.914503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.01 1373
26.3%
0.02 985
18.9%
0.03 582
11.2%
0.04 425
 
8.2%
0.05 298
 
5.7%
0.06 157
 
3.0%
0.07 91
 
1.7%
0.08 84
 
1.6%
0.0 30
 
0.6%
0.09 25
 
0.5%
Other values (7) 49
 
0.9%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 30
 
0.6%
0.01 1373
26.3%
0.02 985
18.9%
0.03 582
11.2%
0.04 425
 
8.2%
0.05 298
 
5.7%
0.06 157
 
3.0%
0.07 91
 
1.7%
0.08 84
 
1.6%
0.09 25
 
0.5%
ValueCountFrequency (%)
0.16 1
 
< 0.1%
0.15 1
 
< 0.1%
0.14 4
 
0.1%
0.13 8
 
0.2%
0.12 15
 
0.3%
0.11 7
 
0.1%
0.1 13
 
0.2%
0.09 25
 
0.5%
0.08 84
1.6%
0.07 91
1.7%

진동(x) 최소(mm/s)
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)0.4%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.024325445
Minimum0
Maximum0.15
Zeros145
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:54.425436image/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
Maximum0.15
Range0.15
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020148363
Coefficient of variation (CV)0.82828342
Kurtosis4.7813874
Mean0.024325445
Median Absolute Deviation (MAD)0.01
Skewness1.8740518
Sum99.71
Variance0.00040595653
MonotonicityNot monotonic
2024-05-11T09:17:54.872438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.01 1682
32.3%
0.02 832
16.0%
0.03 504
 
9.7%
0.04 371
 
7.1%
0.05 256
 
4.9%
0.0 145
 
2.8%
0.06 113
 
2.2%
0.07 75
 
1.4%
0.08 58
 
1.1%
0.12 20
 
0.4%
Other values (5) 43
 
0.8%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 145
 
2.8%
0.01 1682
32.3%
0.02 832
16.0%
0.03 504
 
9.7%
0.04 371
 
7.1%
0.05 256
 
4.9%
0.06 113
 
2.2%
0.07 75
 
1.4%
0.08 58
 
1.1%
0.09 17
 
0.3%
ValueCountFrequency (%)
0.15 2
 
< 0.1%
0.14 4
 
0.1%
0.12 20
 
0.4%
0.11 3
 
0.1%
0.1 17
 
0.3%
0.09 17
 
0.3%
0.08 58
 
1.1%
0.07 75
 
1.4%
0.06 113
2.2%
0.05 256
4.9%

진동(y) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)0.5%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.064447426
Minimum0
Maximum0.24
Zeros21
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:55.275248image/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
Maximum0.24
Range0.24
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.03903304
Coefficient of variation (CV)0.60565708
Kurtosis-0.17306123
Mean0.064447426
Median Absolute Deviation (MAD)0.03
Skewness0.78781266
Sum264.17
Variance0.0015235782
MonotonicityNot monotonic
2024-05-11T09:17:55.707396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.03 627
12.0%
0.02 579
11.1%
0.04 400
 
7.7%
0.06 385
 
7.4%
0.05 381
 
7.3%
0.08 294
 
5.6%
0.07 282
 
5.4%
0.1 215
 
4.1%
0.09 202
 
3.9%
0.12 166
 
3.2%
Other values (12) 568
10.9%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 21
 
0.4%
0.01 10
 
0.2%
0.02 579
11.1%
0.03 627
12.0%
0.04 400
7.7%
0.05 381
7.3%
0.06 385
7.4%
0.07 282
5.4%
0.08 294
5.6%
0.09 202
 
3.9%
ValueCountFrequency (%)
0.24 1
 
< 0.1%
0.2 1
 
< 0.1%
0.19 4
 
0.1%
0.18 7
 
0.1%
0.17 19
 
0.4%
0.16 61
 
1.2%
0.15 73
1.4%
0.14 106
2.0%
0.13 114
2.2%
0.12 166
3.2%

진동(y) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)0.5%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.060151256
Minimum0
Maximum0.19
Zeros21
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:56.156926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.085
95-th percentile0.14
Maximum0.19
Range0.19
Interquartile range (IQR)0.055

Descriptive statistics

Standard deviation0.039007658
Coefficient of variation (CV)0.64849283
Kurtosis-0.19596687
Mean0.060151256
Median Absolute Deviation (MAD)0.03
Skewness0.80371616
Sum246.56
Variance0.0015215974
MonotonicityNot monotonic
2024-05-11T09:17:56.715299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.02 783
15.0%
0.03 513
9.8%
0.04 399
 
7.7%
0.05 364
 
7.0%
0.06 330
 
6.3%
0.08 276
 
5.3%
0.07 267
 
5.1%
0.09 208
 
4.0%
0.1 175
 
3.4%
0.11 162
 
3.1%
Other values (10) 622
11.9%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 21
 
0.4%
0.01 121
 
2.3%
0.02 783
15.0%
0.03 513
9.8%
0.04 399
7.7%
0.05 364
7.0%
0.06 330
6.3%
0.07 267
 
5.1%
0.08 276
 
5.3%
0.09 208
 
4.0%
ValueCountFrequency (%)
0.19 3
 
0.1%
0.18 8
 
0.2%
0.17 10
 
0.2%
0.16 52
 
1.0%
0.15 81
1.6%
0.14 56
 
1.1%
0.13 111
2.1%
0.12 159
3.1%
0.11 162
3.1%
0.1 175
3.4%

진동(y) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.5%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean0.055528178
Minimum0
Maximum0.18
Zeros28
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:57.102495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.039049628
Coefficient of variation (CV)0.70323987
Kurtosis-0.17799445
Mean0.055528178
Median Absolute Deviation (MAD)0.03
Skewness0.81007945
Sum227.61
Variance0.0015248735
MonotonicityNot monotonic
2024-05-11T09:17:57.634458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.02 677
13.0%
0.01 474
9.1%
0.03 422
 
8.1%
0.04 405
 
7.8%
0.05 364
 
7.0%
0.06 300
 
5.8%
0.07 284
 
5.5%
0.09 215
 
4.1%
0.08 201
 
3.9%
0.1 168
 
3.2%
Other values (9) 589
11.3%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 28
 
0.5%
0.01 474
9.1%
0.02 677
13.0%
0.03 422
8.1%
0.04 405
7.8%
0.05 364
7.0%
0.06 300
5.8%
0.07 284
5.5%
0.08 201
 
3.9%
0.09 215
 
4.1%
ValueCountFrequency (%)
0.18 4
 
0.1%
0.17 12
 
0.2%
0.16 38
 
0.7%
0.15 62
 
1.2%
0.14 63
 
1.2%
0.13 98
1.9%
0.12 122
2.3%
0.11 162
3.1%
0.1 168
3.2%
0.09 215
4.1%

진동(z) 최대(mm/s)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)0.6%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.0370359
Minimum0
Maximum1.16
Zeros22
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:58.071021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q11.02
median1.04
Q31.06
95-th percentile1.09
Maximum1.16
Range1.16
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.082780036
Coefficient of variation (CV)0.079823696
Kurtosis129.49411
Mean1.0370359
Median Absolute Deviation (MAD)0.02
Skewness-10.522029
Sum4250.81
Variance0.0068525343
MonotonicityNot monotonic
2024-05-11T09:17:58.479687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1.05 498
9.6%
1.06 476
9.1%
1.03 472
9.1%
1.02 436
 
8.4%
1.04 372
 
7.1%
1.07 360
 
6.9%
1.01 309
 
5.9%
1.08 264
 
5.1%
1.0 239
 
4.6%
1.09 186
 
3.6%
Other values (13) 487
9.3%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 22
 
0.4%
0.95 7
 
0.1%
0.96 15
 
0.3%
0.97 30
 
0.6%
0.98 81
 
1.6%
0.99 143
 
2.7%
1.0 239
4.6%
1.01 309
5.9%
1.02 436
8.4%
1.03 472
9.1%
ValueCountFrequency (%)
1.16 1
 
< 0.1%
1.15 5
 
0.1%
1.14 6
 
0.1%
1.13 29
 
0.6%
1.12 24
 
0.5%
1.11 54
 
1.0%
1.1 70
 
1.3%
1.09 186
3.6%
1.08 264
5.1%
1.07 360
6.9%

진동(z) 평균(mm/s)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)0.6%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.0318053
Minimum0
Maximum1.15
Zeros22
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:59.001653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.04
Q31.06
95-th percentile1.09
Maximum1.15
Range1.15
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.082456846
Coefficient of variation (CV)0.07991512
Kurtosis128.89275
Mean1.0318053
Median Absolute Deviation (MAD)0.02
Skewness-10.484829
Sum4229.37
Variance0.0067991314
MonotonicityNot monotonic
2024-05-11T09:17:59.478786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1.05 491
9.4%
1.04 449
8.6%
1.02 443
 
8.5%
1.03 440
 
8.4%
1.06 402
 
7.7%
1.01 382
 
7.3%
1.07 320
 
6.1%
1.0 273
 
5.2%
1.08 224
 
4.3%
0.99 203
 
3.9%
Other values (13) 472
9.1%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 22
 
0.4%
0.94 5
 
0.1%
0.95 17
 
0.3%
0.96 10
 
0.2%
0.97 52
 
1.0%
0.98 106
 
2.0%
0.99 203
3.9%
1.0 273
5.2%
1.01 382
7.3%
1.02 443
8.5%
ValueCountFrequency (%)
1.15 5
 
0.1%
1.14 7
 
0.1%
1.13 5
 
0.1%
1.12 35
 
0.7%
1.11 46
 
0.9%
1.1 58
 
1.1%
1.09 104
 
2.0%
1.08 224
4.3%
1.07 320
6.1%
1.06 402
7.7%

진동(z) 최소(mm/s)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.6%
Missing1112
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.0265577
Minimum0
Maximum1.14
Zeros22
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:17:59.972100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.98
Q11.01
median1.03
Q31.05
95-th percentile1.08
Maximum1.14
Range1.14
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.082287823
Coefficient of variation (CV)0.080158985
Kurtosis127.29942
Mean1.0265577
Median Absolute Deviation (MAD)0.02
Skewness-10.390338
Sum4207.86
Variance0.0067712858
MonotonicityNot monotonic
2024-05-11T09:18:00.552240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.05 489
9.4%
1.04 470
9.0%
1.01 447
8.6%
1.02 445
8.5%
1.03 405
 
7.8%
1.06 323
 
6.2%
1.0 291
 
5.6%
1.07 274
 
5.3%
0.99 240
 
4.6%
1.08 182
 
3.5%
Other values (15) 533
10.2%
(Missing) 1112
21.3%
ValueCountFrequency (%)
0.0 22
 
0.4%
0.9 1
 
< 0.1%
0.92 1
 
< 0.1%
0.93 4
 
0.1%
0.94 1
 
< 0.1%
0.95 18
 
0.3%
0.96 35
 
0.7%
0.97 88
 
1.7%
0.98 166
3.2%
0.99 240
4.6%
ValueCountFrequency (%)
1.14 5
 
0.1%
1.13 7
 
0.1%
1.12 33
 
0.6%
1.11 20
 
0.4%
1.1 50
 
1.0%
1.09 82
 
1.6%
1.08 182
 
3.5%
1.07 274
5.3%
1.06 323
6.2%
1.05 489
9.4%

흑구온도 최대(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5211
Missing (%)100.0%
Memory size45.9 KiB

흑구온도 평균(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5211
Missing (%)100.0%
Memory size45.9 KiB

흑구온도 최소(℃)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5211
Missing (%)100.0%
Memory size45.9 KiB

이산화질소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)70.9%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.51354434
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:01.233137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0872
Q10.2185
median0.452
Q30.6135
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.395

Descriptive statistics

Standard deviation0.43297937
Coefficient of variation (CV)0.84311974
Kurtosis5.3537178
Mean0.51354434
Median Absolute Deviation (MAD)0.169
Skewness2.2294829
Sum167.929
Variance0.18747114
MonotonicityNot monotonic
2024-05-11T09:18:01.875862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.0 8
 
0.2%
0.522 4
 
0.1%
0.172 3
 
0.1%
0.341 3
 
0.1%
0.403 3
 
0.1%
0.353 3
 
0.1%
0.588 3
 
0.1%
0.417 3
 
0.1%
0.519 3
 
0.1%
Other values (222) 276
 
5.3%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
0.2%
0.047 2
 
< 0.1%
0.049 1
 
< 0.1%
0.055 1
 
< 0.1%
0.057 1
 
< 0.1%
0.06 1
 
< 0.1%
0.061 1
 
< 0.1%
0.071 1
 
< 0.1%
0.086 1
 
< 0.1%
0.09 1
 
< 0.1%
ValueCountFrequency (%)
2.0 18
0.3%
1.399 1
 
< 0.1%
1.395 1
 
< 0.1%
1.392 1
 
< 0.1%
1.39 1
 
< 0.1%
1.388 2
 
< 0.1%
1.387 1
 
< 0.1%
0.745 1
 
< 0.1%
0.738 1
 
< 0.1%
0.736 1
 
< 0.1%

이산화질소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)71.3%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.53503364
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:02.482331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1148
Q10.2595
median0.464
Q30.641
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.3815

Descriptive statistics

Standard deviation0.43097234
Coefficient of variation (CV)0.80550512
Kurtosis5.0433949
Mean0.53503364
Median Absolute Deviation (MAD)0.182
Skewness2.157073
Sum174.956
Variance0.18573716
MonotonicityNot monotonic
2024-05-11T09:18:03.120403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.0 8
 
0.2%
0.38 5
 
0.1%
0.399 5
 
0.1%
0.257 3
 
0.1%
0.416 3
 
0.1%
0.177 3
 
0.1%
0.379 3
 
0.1%
0.53 3
 
0.1%
0.529 3
 
0.1%
Other values (223) 273
 
5.2%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
0.2%
0.054 1
 
< 0.1%
0.064 1
 
< 0.1%
0.066 1
 
< 0.1%
0.067 1
 
< 0.1%
0.068 1
 
< 0.1%
0.088 1
 
< 0.1%
0.092 1
 
< 0.1%
0.105 1
 
< 0.1%
0.113 1
 
< 0.1%
ValueCountFrequency (%)
2.0 18
0.3%
1.406 1
 
< 0.1%
1.401 1
 
< 0.1%
1.399 1
 
< 0.1%
1.393 1
 
< 0.1%
1.391 1
 
< 0.1%
1.39 1
 
< 0.1%
1.389 1
 
< 0.1%
0.93 1
 
< 0.1%
0.864 1
 
< 0.1%

이산화질소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)68.5%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.50519572
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:04.207971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0823
Q10.2075
median0.449
Q30.6025
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.395

Descriptive statistics

Standard deviation0.43421163
Coefficient of variation (CV)0.85949191
Kurtosis5.4403434
Mean0.50519572
Median Absolute Deviation (MAD)0.163
Skewness2.2503099
Sum165.199
Variance0.18853974
MonotonicityNot monotonic
2024-05-11T09:18:04.880407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 18
 
0.3%
0.0 8
 
0.2%
0.517 6
 
0.1%
0.41 4
 
0.1%
0.485 4
 
0.1%
0.393 4
 
0.1%
0.398 3
 
0.1%
0.35 3
 
0.1%
0.634 3
 
0.1%
0.39 3
 
0.1%
Other values (214) 271
 
5.2%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
0.2%
0.039 1
 
< 0.1%
0.04 1
 
< 0.1%
0.042 1
 
< 0.1%
0.047 1
 
< 0.1%
0.048 1
 
< 0.1%
0.052 1
 
< 0.1%
0.053 1
 
< 0.1%
0.059 1
 
< 0.1%
0.082 1
 
< 0.1%
ValueCountFrequency (%)
2.0 18
0.3%
1.395 1
 
< 0.1%
1.389 1
 
< 0.1%
1.388 1
 
< 0.1%
1.387 1
 
< 0.1%
1.386 1
 
< 0.1%
1.385 1
 
< 0.1%
1.383 1
 
< 0.1%
0.735 1
 
< 0.1%
0.733 1
 
< 0.1%

일산화탄소 최대(ppm)
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)17.1%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.13585321
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:05.652527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.033
median0.038
Q30.045
95-th percentile0.2077
Maximum2
Range2
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.42382228
Coefficient of variation (CV)3.1197075
Kurtosis15.685404
Mean0.13585321
Median Absolute Deviation (MAD)0.005
Skewness4.1901077
Sum44.424
Variance0.17962532
MonotonicityNot monotonic
2024-05-11T09:18:06.594814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.038 45
 
0.9%
0.033 21
 
0.4%
0.037 19
 
0.4%
0.039 16
 
0.3%
2.0 16
 
0.3%
0.035 15
 
0.3%
0.036 14
 
0.3%
0.028 11
 
0.2%
0.043 11
 
0.2%
0.04 10
 
0.2%
Other values (46) 149
 
2.9%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
0.2%
0.022 1
 
< 0.1%
0.023 1
 
< 0.1%
0.024 9
0.2%
0.025 5
0.1%
0.026 1
 
< 0.1%
0.027 6
0.1%
0.028 11
0.2%
0.029 4
 
0.1%
0.03 1
 
< 0.1%
ValueCountFrequency (%)
2.0 16
0.3%
0.241 1
 
< 0.1%
0.13 1
 
< 0.1%
0.083 1
 
< 0.1%
0.082 1
 
< 0.1%
0.079 1
 
< 0.1%
0.073 2
 
< 0.1%
0.071 1
 
< 0.1%
0.07 2
 
< 0.1%
0.069 1
 
< 0.1%

일산화탄소 평균(ppm)
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)15.0%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.13099694
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:07.509537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q10.03
median0.036
Q30.038
95-th percentile0.1123
Maximum2
Range2
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.42473181
Coefficient of variation (CV)3.2423033
Kurtosis15.719568
Mean0.13099694
Median Absolute Deviation (MAD)0.005
Skewness4.1961686
Sum42.836
Variance0.18039711
MonotonicityNot monotonic
2024-05-11T09:18:08.674201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.038 39
 
0.7%
0.037 38
 
0.7%
0.024 18
 
0.3%
0.031 18
 
0.3%
0.025 18
 
0.3%
0.033 16
 
0.3%
2.0 16
 
0.3%
0.034 16
 
0.3%
0.032 14
 
0.3%
0.039 13
 
0.2%
Other values (39) 121
 
2.3%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
0.2%
0.019 1
 
< 0.1%
0.02 1
 
< 0.1%
0.022 1
 
< 0.1%
0.023 4
 
0.1%
0.024 18
0.3%
0.025 18
0.3%
0.026 6
 
0.1%
0.027 7
 
0.1%
0.028 6
 
0.1%
ValueCountFrequency (%)
2.0 16
0.3%
0.127 1
 
< 0.1%
0.078 1
 
< 0.1%
0.077 1
 
< 0.1%
0.071 1
 
< 0.1%
0.069 1
 
< 0.1%
0.066 1
 
< 0.1%
0.065 1
 
< 0.1%
0.064 1
 
< 0.1%
0.062 1
 
< 0.1%

일산화탄소 최소(ppm)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)12.8%
Missing4884
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.12804281
Minimum0
Maximum2
Zeros8
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:09.248701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.023
Q10.0245
median0.033
Q30.037
95-th percentile0.0785
Maximum2
Range2
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.42535681
Coefficient of variation (CV)3.3219889
Kurtosis15.727689
Mean0.12804281
Median Absolute Deviation (MAD)0.005
Skewness4.1976599
Sum41.87
Variance0.18092842
MonotonicityNot monotonic
2024-05-11T09:18:09.735103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.024 55
 
1.1%
0.037 44
 
0.8%
0.038 26
 
0.5%
0.031 21
 
0.4%
0.036 18
 
0.3%
2.0 16
 
0.3%
0.023 14
 
0.3%
0.033 14
 
0.3%
0.032 13
 
0.2%
0.034 10
 
0.2%
Other values (32) 96
 
1.8%
(Missing) 4884
93.7%
ValueCountFrequency (%)
0.0 8
 
0.2%
0.017 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 14
 
0.3%
0.024 55
1.1%
0.025 9
 
0.2%
0.026 8
 
0.2%
ValueCountFrequency (%)
2.0 16
0.3%
0.08 1
 
< 0.1%
0.075 1
 
< 0.1%
0.071 1
 
< 0.1%
0.064 1
 
< 0.1%
0.062 1
 
< 0.1%
0.058 2
 
< 0.1%
0.056 1
 
< 0.1%
0.053 2
 
< 0.1%
0.052 1
 
< 0.1%

이산화황 최대(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4884 
0.004
 
203
2.0
 
88
0.003
 
28
0.0
 
8

Length

Max length5
Median length4
Mean length4.0259067
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.004
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4884
93.7%
0.004 203
 
3.9%
2.0 88
 
1.7%
0.003 28
 
0.5%
0.0 8
 
0.2%

Length

2024-05-11T09:18:10.319262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:10.825394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4884
93.7%
0.004 203
 
3.9%
2.0 88
 
1.7%
0.003 28
 
0.5%
0.0 8
 
0.2%

이산화황 평균(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4884 
0.004
 
202
2.0
 
88
0.003
 
29
0.0
 
8

Length

Max length5
Median length4
Mean length4.0259067
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.004
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4884
93.7%
0.004 202
 
3.9%
2.0 88
 
1.7%
0.003 29
 
0.6%
0.0 8
 
0.2%

Length

2024-05-11T09:18:11.442454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:12.000257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4884
93.7%
0.004 202
 
3.9%
2.0 88
 
1.7%
0.003 29
 
0.6%
0.0 8
 
0.2%

이산화황 최소(ppm)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4884 
0.004
 
201
2.0
 
88
0.003
 
30
0.0
 
8

Length

Max length5
Median length4
Mean length4.0259067
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.004
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4884
93.7%
0.004 201
 
3.9%
2.0 88
 
1.7%
0.003 30
 
0.6%
0.0 8
 
0.2%

Length

2024-05-11T09:18:12.513519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:12.991865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4884
93.7%
0.004 201
 
3.9%
2.0 88
 
1.7%
0.003 30
 
0.6%
0.0 8
 
0.2%

암모니아 최대(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0
 
254

Length

Max length4
Median length4
Mean length3.8537709
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> 4957
95.1%
0 254
 
4.9%

Length

2024-05-11T09:18:13.570748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:14.033043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0 254
 
4.9%

암모니아 평균(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0
 
254

Length

Max length4
Median length4
Mean length3.8537709
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> 4957
95.1%
0 254
 
4.9%

Length

2024-05-11T09:18:14.521617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:14.954807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0 254
 
4.9%

암모니아 최소(ppm)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0
 
254

Length

Max length4
Median length4
Mean length3.8537709
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> 4957
95.1%
0 254
 
4.9%

Length

2024-05-11T09:18:15.394638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:15.806956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0 254
 
4.9%

황화수소 최대(ppm)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0.0
 
248
0.005
 
3
0.004
 
3

Length

Max length5
Median length4
Mean length3.9535598
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> 4957
95.1%
0.0 248
 
4.8%
0.005 3
 
0.1%
0.004 3
 
0.1%

Length

2024-05-11T09:18:16.318836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:16.828594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0.0 248
 
4.8%
0.005 3
 
0.1%
0.004 3
 
0.1%

황화수소 평균(ppm)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0.0
 
248
0.003
 
3
0.004
 
3

Length

Max length5
Median length4
Mean length3.9535598
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> 4957
95.1%
0.0 248
 
4.8%
0.003 3
 
0.1%
0.004 3
 
0.1%

Length

2024-05-11T09:18:17.355419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:17.852201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0.0 248
 
4.8%
0.003 3
 
0.1%
0.004 3
 
0.1%

황화수소 최소(ppm)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
<NA>
4957 
0.0
 
248
0.002
 
5
0.003
 
1

Length

Max length5
Median length4
Mean length3.9535598
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> 4957
95.1%
0.0 248
 
4.8%
0.002 5
 
0.1%
0.003 1
 
< 0.1%

Length

2024-05-11T09:18:18.412930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:18:18.791990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4957
95.1%
0.0 248
 
4.8%
0.002 5
 
0.1%
0.003 1
 
< 0.1%

오존 최대(ppm)
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)34.0%
Missing5064
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.3017415
Minimum0
Maximum2
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:19.141127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.037
median0.044
Q30.336
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.299

Descriptive statistics

Standard deviation0.59185669
Coefficient of variation (CV)1.9614693
Kurtosis4.2253981
Mean0.3017415
Median Absolute Deviation (MAD)0.01
Skewness2.3956539
Sum44.356
Variance0.35029434
MonotonicityNot monotonic
2024-05-11T09:18:19.643456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.046 8
 
0.2%
0.04 7
 
0.1%
0.037 7
 
0.1%
0.038 7
 
0.1%
0.034 6
 
0.1%
0.042 6
 
0.1%
0.052 5
 
0.1%
0.044 5
 
0.1%
0.039 4
 
0.1%
Other values (40) 77
 
1.5%
(Missing) 5064
97.2%
ValueCountFrequency (%)
0.0 4
0.1%
0.002 2
< 0.1%
0.003 3
0.1%
0.004 1
 
< 0.1%
0.027 2
< 0.1%
0.028 2
< 0.1%
0.029 4
0.1%
0.031 1
 
< 0.1%
0.032 2
< 0.1%
0.033 3
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.474 1
 
< 0.1%
0.472 2
 
< 0.1%
0.469 2
 
< 0.1%
0.466 1
 
< 0.1%
0.432 1
 
< 0.1%
0.431 1
 
< 0.1%
0.43 2
 
< 0.1%
0.429 1
 
< 0.1%
0.426 3
 
0.1%

오존 평균(ppm)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)32.0%
Missing5064
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.30029932
Minimum0
Maximum2
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:20.090141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.002
Q10.0365
median0.043
Q30.3245
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.288

Descriptive statistics

Standard deviation0.59207295
Coefficient of variation (CV)1.9716094
Kurtosis4.2391676
Mean0.30029932
Median Absolute Deviation (MAD)0.009
Skewness2.3995508
Sum44.144
Variance0.35055038
MonotonicityNot monotonic
2024-05-11T09:18:20.572061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.04 10
 
0.2%
0.038 9
 
0.2%
0.037 9
 
0.2%
0.045 8
 
0.2%
0.051 7
 
0.1%
0.034 7
 
0.1%
0.033 6
 
0.1%
0.002 6
 
0.1%
0.046 4
 
0.1%
Other values (37) 66
 
1.3%
(Missing) 5064
97.2%
ValueCountFrequency (%)
0.0 4
0.1%
0.002 6
0.1%
0.026 2
 
< 0.1%
0.027 2
 
< 0.1%
0.028 4
0.1%
0.03 1
 
< 0.1%
0.031 2
 
< 0.1%
0.032 2
 
< 0.1%
0.033 6
0.1%
0.034 7
0.1%
ValueCountFrequency (%)
2.0 15
0.3%
0.47 1
 
< 0.1%
0.468 2
 
< 0.1%
0.466 1
 
< 0.1%
0.465 1
 
< 0.1%
0.462 1
 
< 0.1%
0.43 2
 
< 0.1%
0.428 2
 
< 0.1%
0.425 2
 
< 0.1%
0.424 1
 
< 0.1%

오존 최소(ppm)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)32.7%
Missing5064
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.29904082
Minimum0
Maximum2
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size45.9 KiB
2024-05-11T09:18:20.984098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.034
median0.041
Q30.3215
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0.2875

Descriptive statistics

Standard deviation0.59236066
Coefficient of variation (CV)1.9808689
Kurtosis4.2464252
Mean0.29904082
Median Absolute Deviation (MAD)0.009
Skewness2.4015799
Sum43.959
Variance0.35089115
MonotonicityNot monotonic
2024-05-11T09:18:21.472860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2.0 15
 
0.3%
0.037 12
 
0.2%
0.033 8
 
0.2%
0.036 7
 
0.1%
0.045 7
 
0.1%
0.04 7
 
0.1%
0.001 6
 
0.1%
0.039 6
 
0.1%
0.05 5
 
0.1%
0.044 5
 
0.1%
Other values (38) 69
 
1.3%
(Missing) 5064
97.2%
ValueCountFrequency (%)
0.0 4
0.1%
0.001 6
0.1%
0.025 1
 
< 0.1%
0.026 2
 
< 0.1%
0.027 4
0.1%
0.028 2
 
< 0.1%
0.029 1
 
< 0.1%
0.03 4
0.1%
0.032 5
0.1%
0.033 8
0.2%
ValueCountFrequency (%)
2.0 15
0.3%
0.468 1
 
< 0.1%
0.466 2
 
< 0.1%
0.463 1
 
< 0.1%
0.462 1
 
< 0.1%
0.459 1
 
< 0.1%
0.429 1
 
< 0.1%
0.427 1
 
< 0.1%
0.426 1
 
< 0.1%
0.425 1
 
< 0.1%

등록일시
Date

Distinct275
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size40.8 KiB
Minimum2024-01-21 00:07:21
Maximum2024-01-21 08:08:18
2024-05-11T09:18:21.966401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:18:22.428343image/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
0SDOT001OC3CL2001692024-01-21_12:07:00roads_and_parksJungnang-guSinnae1-dong2213322.01.91.8100100100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6864600.010.010.010.020.020.021.051.051.04<NA><NA><NA>0.6730.6970.6592.02.02.00.0040.0040.004<NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
1SDOT001V02Q23000052024-01-21_12:07:00main_streetEunpyeong-guJingwan-dong0000002.42.32.2727170<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
2SDOT001V02Q19409442024-01-21_12:07:00traditional_marketsJungnang-guMuk2-dong2113225.25.15.0616059<NA><NA><NA><NA><NA><NA>0000.00.00.04442400.010.010.010.140.140.141.021.011.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
3SDOT001V02Q23000022024-01-21_12:07:00residential_areaGwanak-guSinllim-dong0000002.42.32.2767472<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>696562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
4SDOT001OC3CL2002032024-01-21_12:07:00roads_and_parksJungnang-guMangubon-dong2113222.22.12.0999795<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>686257<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
5SDOT001V02Q19407272024-01-21_12:07:00traditional_marketsJungnang-guJunghwa2-dong3114224.84.74.6626261<NA><NA><NA><NA><NA><NA>0000.00.00.04038360.030.030.020.080.070.071.031.031.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
6SDOT001V02Q23000062024-01-21_12:07:00main_streetEunpyeong-guJingwan-dong0001102.01.91.9757371<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
7SDOT001V02Q19402332024-01-21_12:07:00residential_areaJungnang-guMuk1-dong2113223.63.53.4676564<NA><NA><NA><NA><NA><NA>2928280.00.00.04440360.020.010.010.090.080.081.051.041.03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
8SDOT001OC3CL2002022024-01-21_12:07:00industrial_areaJungnang-guJunghwa2-dong2213322.72.62.6959492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>686766<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
9SDOT001V02Q19403112024-01-21_12:07:00residential_areaJungnang-guJunghwa1-dong2213323.93.93.8656564<NA><NA><NA><NA><NA><NA>0000.00.00.04846450.020.010.010.030.020.021.031.031.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 00:07:21
모델번호시리얼측정시간지역자치구행정동초미세먼지 최대(㎍/㎥)초미세먼지 평균(㎍/㎥)초미세먼지 최소(㎍/㎥)미세먼지 최대(㎍/㎥)미세먼지 평균(㎍/㎥)미세먼지 최소(㎍/㎥)온도 최대(℃)온도 평균(℃)온도 최소(℃)습도 최대(%)습도 평균(%)습도 최소(%)풍속 최대(m/s)풍속 평균(m/s)풍속 최소(m/s)풍향 최대(m/s)풍향 평균(m/s)풍향 최소(m/s)조도 최대(lux)조도 평균(lux)조도 최소(lux)자외선 최대(UV)자외선 평균(UV)자외선 최대(UV).1소음 최대(dB)소음 평균(dB)소음 최소(dB)진동(x) 최대(mm/s)진동(x) 평균(mm/s)진동(x) 최소(mm/s)진동(y) 최대(mm/s)진동(y) 평균(mm/s)진동(y) 최소(mm/s)진동(z) 최대(mm/s)진동(z) 평균(mm/s)진동(z) 최소(mm/s)흑구온도 최대(℃)흑구온도 평균(℃)흑구온도 최소(℃)이산화질소 최대(ppm)이산화질소 평균(ppm)이산화질소 최소(ppm)일산화탄소 최대(ppm)일산화탄소 평균(ppm)일산화탄소 최소(ppm)이산화황 최대(ppm)이산화황 평균(ppm)이산화황 최소(ppm)암모니아 최대(ppm)암모니아 평균(ppm)암모니아 최소(ppm)황화수소 최대(ppm)황화수소 평균(ppm)황화수소 최소(ppm)오존 최대(ppm)오존 평균(ppm)오존 최소(ppm)등록일시
5201SDOT001V02Q19409452024-01-21_08:07:00traditional_marketsMapo-guMangwon-dong11112224.74.34.0646361<NA><NA><NA><NA><NA><NA>3707310.00.00.04642390.020.020.020.070.060.061.031.021.02<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:17
5202SDOT001V02Q19407282024-01-21_08:07:00residential_areaMapo-guYeomni-dong211322<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2745400.00.00.04745440.040.040.030.160.150.141.061.051.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:17
5203SDOT001V02Q19405792024-01-21_08:07:00residential_areaMapo-guMangwon-dong22113223.23.13.0686867<NA><NA><NA><NA><NA><NA>2154430.00.00.05448460.030.020.020.030.020.021.071.071.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:17
5204SDOT001V02Q19404612024-01-21_08:07:00residential_areaMapo-guSinsu-dong2113224.13.83.5656362<NA><NA><NA><NA><NA><NA>23363230.00.00.05149480.020.020.020.060.060.051.061.051.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:17
5205SDOT001V02Q19406342024-01-21_08:07:00residential_areaMapo-guAhyeon-dong2113224.64.24.0636158<NA><NA><NA><NA><NA><NA>1383080.00.00.04948450.030.020.020.110.10.11.011.01.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:17
5206SDOT001V02Q19404902024-01-21_08:07:00residential_areaMapo-guYonggang-dong2113224.03.83.7656463<NA><NA><NA><NA><NA><NA>1763100.00.00.04645440.010.010.010.120.110.111.11.11.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:18
5207SDOT001V02Q19406432024-01-21_08:07:00residential_areaMapo-guHapjeong-dong2113223.73.33.0686664<NA><NA><NA><NA><NA><NA>2545100.00.00.04844420.020.020.010.050.040.041.011.00.99<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:18
5208SDOT001V02Q19404662024-01-21_08:07:00residential_areaMapo-guYeonnam-dong2113224.44.24.0636260<NA><NA><NA><NA><NA><NA>3767100.00.00.04444430.060.050.050.040.040.041.091.091.08<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:18
5209SDOT001V02Q19406312024-01-21_08:07:00residential_areaMapo-guAhyeon-dong2113224.64.44.2616159<NA><NA><NA><NA><NA><NA>41688140.00.00.04136350.040.040.030.040.040.031.051.051.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:18
5210SDOT001V02Q19402882024-01-21_08:07:00residential_areaMapo-guSinsu-dong2113223.83.63.5656463<NA><NA><NA><NA><NA><NA>2564800.00.00.03635350.010.010.010.080.070.071.051.041.04<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-01-21 08:08:18