Overview

Dataset statistics

Number of variables44
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.2 KiB
Average record size in memory391.3 B

Variable types

Numeric35
Categorical9

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
기본키 has unique valuesUnique
평균 속도(km/hr) has 24 (24.0%) zerosZeros
CO(g/km) has 22 (22.0%) zerosZeros
CO_100M(g/km) has 22 (22.0%) zerosZeros
CO_300M(g/km) has 22 (22.0%) zerosZeros
CO_500M(g/km) has 22 (22.0%) zerosZeros
NOX(g/km) has 22 (22.0%) zerosZeros
NOX_100M(g/km) has 22 (22.0%) zerosZeros
NOX_300M(g/km) has 22 (22.0%) zerosZeros
NOX_500M(g/km) has 22 (22.0%) zerosZeros
HC(g/km) has 22 (22.0%) zerosZeros
HC_100M(g/km) has 22 (22.0%) zerosZeros
HC_300M(g/km) has 22 (22.0%) zerosZeros
HC_500M(g/km) has 22 (22.0%) zerosZeros
PM(g/km) has 39 (39.0%) zerosZeros
PM_100M(g/km) has 39 (39.0%) zerosZeros
PM_300M(g/km) has 39 (39.0%) zerosZeros
PM_500M(g/km) has 39 (39.0%) zerosZeros
CO2(g/km) has 22 (22.0%) zerosZeros
CO2_100M(g/km) has 22 (22.0%) zerosZeros
CO2_300M(g/km) has 22 (22.0%) zerosZeros
CO2_500M(g/km) has 22 (22.0%) zerosZeros
TSP(g/km) has 22 (22.0%) zerosZeros
TSP_100M(g/km) has 22 (22.0%) zerosZeros
TSP_300M(g/km) has 22 (22.0%) zerosZeros
TSP_500M(g/km) has 22 (22.0%) zerosZeros
PM10(g/km) has 23 (23.0%) zerosZeros
PM10_100M(g/km) has 23 (23.0%) zerosZeros
PM10_300M(g/km) has 23 (23.0%) zerosZeros
PM10_500M(g/km) has 23 (23.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:19:34.746308
Analysis finished2023-12-10 11:19:35.277943
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:35.449130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T20:19:35.758898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
도로공사
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로공사 100
100.0%

Length

2023-12-10T20:19:36.068137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:36.274014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3801E-10
10 
A-0010-3932E-10
10 
A-0010-3974E-10
10 
Other values (7)
50 

Length

Max length15
Median length15
Mean length14.6
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0010-0538E-6
2nd rowA-0010-0538E-6
3rd rowA-0010-0538E-6
4th rowA-0010-0538E-6
5th rowA-0010-0538E-6

Common Values

ValueCountFrequency (%)
A-0010-3452S-10 10
10.0%
A-0010-3613E-10 10
10.0%
A-0010-3801E-10 10
10.0%
A-0010-3932E-10 10
10.0%
A-0010-3974E-10 10
10.0%
A-0010-4105E-10 10
10.0%
A-0010-3352E-9 9
9.0%
A-0010-1185E-8 8
8.0%
A-0010-0538E-6 6
6.0%
A-0010-1073E-6 6
6.0%
Other values (2) 11
11.0%

Length

2023-12-10T20:19:36.533924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-3452s-10 10
10.0%
a-0010-3613e-10 10
10.0%
a-0010-3801e-10 10
10.0%
a-0010-3932e-10 10
10.0%
a-0010-3974e-10 10
10.0%
a-0010-4105e-10 10
10.0%
a-0010-3352e-9 9
9.0%
a-0010-1185e-8 8
8.0%
a-0010-0538e-6 6
6.0%
a-0010-1073e-6 6
6.0%
Other values (2) 11
11.0%

주소
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충남 천안시 서북구 성거읍 송남리
10 
경기 안성시 원곡면
10 
경기 화성시 동탄면 송리
10 
경기 용인시 기흥구 신갈동
10 
경기 용인시 기흥구 보정동
10 
Other values (7)
50 

Length

Max length18
Median length14
Mean length12.78
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산 울주군 두서면 활천리
2nd row울산 울주군 두서면 활천리
3rd row울산 울주군 두서면 활천리
4th row울산 울주군 두서면 활천리
5th row울산 울주군 두서면 활천리

Common Values

ValueCountFrequency (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
경기 화성시 동탄면 송리 10
10.0%
경기 용인시 기흥구 신갈동 10
10.0%
경기 용인시 기흥구 보정동 10
10.0%
경기 성남시 수정구 금토동 10
10.0%
충청 천안시 구성동 9
9.0%
대구 동구 안심3동 8
8.0%
울산 울주군 두서면 활천리 6
6.0%
경북 경산시 진량읍 6
6.0%
Other values (2) 11
11.0%

Length

2023-12-10T20:19:36.936499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 50
 
13.4%
용인시 20
 
5.4%
기흥구 20
 
5.4%
천안시 19
 
5.1%
경북 12
 
3.2%
금토동 10
 
2.7%
수정구 10
 
2.7%
성남시 10
 
2.7%
보정동 10
 
2.7%
신갈동 10
 
2.7%
Other values (26) 201
54.0%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
E
51 
S
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE
2nd rowE
3rd rowE
4th rowS
5th rowS

Common Values

ValueCountFrequency (%)
E 51
51.0%
S 49
49.0%

Length

2023-12-10T20:19:37.246142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:37.407779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 51
51.0%
s 49
49.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
24 
2
23 
3
23 
4
17 
5
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 24
24.0%
2 23
23.0%
3 23
23.0%
4 17
17.0%
5 13
13.0%

Length

2023-12-10T20:19:37.578849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:37.805259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
24.0%
2 23
23.0%
3 23
23.0%
4 17
17.0%
5 13
13.0%

측정구간
Categorical

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
안성IC-안성JC
 
5
천안IC-북천안IC
 
5
천안IC-천안JC
 
5
금토JC-양재IC
 
5
서울TG-신갈JC
 
5
Other values (19)
75 

Length

Max length11
Median length9
Mean length9.44
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row언양JC-활천IC
2nd row언양JC-활천IC
3rd row언양JC-활천IC
4th row활천IC-언양JC
5th row활천IC-언양JC

Common Values

ValueCountFrequency (%)
안성IC-안성JC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
금토JC-양재IC 5
 
5.0%
서울TG-신갈JC 5
 
5.0%
신갈JC-수원신갈IC 5
 
5.0%
수원신갈IC-신갈JC 5
 
5.0%
양재IC-금토JC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
신갈JC-서울TG 5
 
5.0%
Other values (14) 50
50.0%

Length

2023-12-10T20:19:38.163653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성ic-안성jc 5
 
5.0%
양재ic-금토jc 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
오산ic-동탄jc 5
 
5.0%
안성jc-안성ic 5
 
5.0%
신갈jc-서울tg 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
동탄jc-오산ic 5
 
5.0%
수원신갈ic-신갈jc 5
 
5.0%
신갈jc-수원신갈ic 5
 
5.0%
Other values (14) 50
50.0%

장비이정(km)
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.8228
Minimum53.4
Maximum410.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:38.396867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.4
5-th percentile53.4
Q1170.64
median353.25
Q3393.2
95-th percentile410.41
Maximum410.41
Range357.01
Interquartile range (IQR)222.56

Descriptive statistics

Standard deviation128.04602
Coefficient of variation (CV)0.43728159
Kurtosis-1.003887
Mean292.8228
Median Absolute Deviation (MAD)44.15
Skewness-0.86218443
Sum29282.28
Variance16395.783
MonotonicityNot monotonic
2023-12-10T20:19:38.622921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
345.2 10
10.0%
361.3 10
10.0%
380.1 10
10.0%
393.2 10
10.0%
397.4 10
10.0%
410.41 10
10.0%
335.2 9
9.0%
118.5 8
8.0%
53.4 6
6.0%
107.31 6
6.0%
Other values (2) 11
11.0%
ValueCountFrequency (%)
53.4 6
6.0%
69.8 5
5.0%
107.31 6
6.0%
118.5 8
8.0%
188.02 6
6.0%
335.2 9
9.0%
345.2 10
10.0%
361.3 10
10.0%
380.1 10
10.0%
393.2 10
10.0%
ValueCountFrequency (%)
410.41 10
10.0%
397.4 10
10.0%
393.2 10
10.0%
380.1 10
10.0%
361.3 10
10.0%
345.2 10
10.0%
335.2 9
9.0%
188.02 6
6.0%
118.5 8
8.0%
107.31 6
6.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20201201
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201201
2nd row20201201
3rd row20201201
4th row20201201
5th row20201201

Common Values

ValueCountFrequency (%)
20201201 100
100.0%

Length

2023-12-10T20:19:38.876036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:39.031081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201201 100
100.0%

측정시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:19:39.266513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:39.590264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.3794
Minimum0
Maximum135
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:39.824198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q170.79
median84
Q394.7525
95-th percentile115.1
Maximum135
Range135
Interquartile range (IQR)23.9625

Descriptive statistics

Standard deviation40.976556
Coefficient of variation (CV)0.5906156
Kurtosis-0.65350434
Mean69.3794
Median Absolute Deviation (MAD)10.835
Skewness-0.91439102
Sum6937.94
Variance1679.0782
MonotonicityNot monotonic
2023-12-10T20:19:40.123171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
95.0 2
 
2.0%
84.0 2
 
2.0%
99.0 2
 
2.0%
79.0 2
 
2.0%
96.0 1
 
1.0%
76.11 1
 
1.0%
82.0 1
 
1.0%
76.0 1
 
1.0%
79.67 1
 
1.0%
Other values (63) 63
63.0%
ValueCountFrequency (%)
0.0 24
24.0%
57.5 1
 
1.0%
75.22 1
 
1.0%
75.44 1
 
1.0%
75.71 1
 
1.0%
76.0 1
 
1.0%
76.11 1
 
1.0%
76.75 1
 
1.0%
76.86 1
 
1.0%
77.86 1
 
1.0%
ValueCountFrequency (%)
135.0 1
1.0%
129.0 1
1.0%
124.0 1
1.0%
118.0 1
1.0%
117.0 1
1.0%
115.0 1
1.0%
112.33 1
1.0%
112.0 1
1.0%
111.0 1
1.0%
108.5 1
1.0%

위도(°)
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.720532
Minimum35.149019
Maximum37.433022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:40.398285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.149019
5-th percentile35.655298
Q136.092975
median36.938896
Q337.279444
95-th percentile37.433022
Maximum37.433022
Range2.2840032
Interquartile range (IQR)1.1864697

Descriptive statistics

Standard deviation0.68473702
Coefficient of variation (CV)0.018647253
Kurtosis-0.6019677
Mean36.720532
Median Absolute Deviation (MAD)0.48435417
Skewness-0.80699366
Sum3672.0532
Variance0.46886479
MonotonicityNot monotonic
2023-12-10T20:19:40.708994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
36.86890278 10
10.0%
37.00888889 10
10.0%
37.15877778 10
10.0%
37.27944444 10
10.0%
37.43302222 10
10.0%
37.42325 10
10.0%
36.78083333 9
9.0%
35.90473241 8
8.0%
35.68194444 6
6.0%
35.88230609 6
6.0%
Other values (2) 11
11.0%
ValueCountFrequency (%)
35.149019 5
5.0%
35.68194444 6
6.0%
35.88230609 6
6.0%
35.90473241 8
8.0%
36.15572222 6
6.0%
36.78083333 9
9.0%
36.86890278 10
10.0%
37.00888889 10
10.0%
37.15877778 10
10.0%
37.27944444 10
10.0%
ValueCountFrequency (%)
37.43302222 10
10.0%
37.42325 10
10.0%
37.27944444 10
10.0%
37.15877778 10
10.0%
37.00888889 10
10.0%
36.86890278 10
10.0%
36.78083333 9
9.0%
36.15572222 6
6.0%
35.90473241 8
8.0%
35.88230609 6
6.0%

경도(°)
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.54031
Minimum126.68942
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:40.902241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68942
5-th percentile126.68942
Q1127.08833
median127.16292
Q3128.21328
95-th percentile129.18111
Maximum129.18111
Range2.4916889
Interquartile range (IQR)1.1249445

Descriptive statistics

Standard deviation0.7545342
Coefficient of variation (CV)0.0059160447
Kurtosis-0.49266309
Mean127.54031
Median Absolute Deviation (MAD)0.0856389
Skewness0.97947807
Sum12754.031
Variance0.56932187
MonotonicityNot monotonic
2023-12-10T20:19:41.213303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
127.1867222 10
10.0%
127.1491667 10
10.0%
127.0883333 10
10.0%
127.1058333 10
10.0%
126.6894222 10
10.0%
127.0772778 10
10.0%
127.1766667 9
9.0%
128.5614716 8
8.0%
129.1811111 6
6.0%
128.8488161 6
6.0%
Other values (2) 11
11.0%
ValueCountFrequency (%)
126.6894222 10
10.0%
127.0772778 10
10.0%
127.0883333 10
10.0%
127.1058333 10
10.0%
127.1491667 10
10.0%
127.1766667 9
9.0%
127.1867222 10
10.0%
128.104573 5
5.0%
128.2132778 6
6.0%
128.5614716 8
8.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
128.8488161 6
6.0%
128.5614716 8
8.0%
128.2132778 6
6.0%
128.104573 5
5.0%
127.1867222 10
10.0%
127.1766667 9
9.0%
127.1491667 10
10.0%
127.1058333 10
10.0%
127.0883333 10
10.0%

기울기(°)
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02674647
Minimum-2.343564
Maximum2.34907
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size1.0 KiB
2023-12-10T20:19:41.467762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.343564
5-th percentile-1.4082291
Q1-0.660004
median0.151187
Q30.671977
95-th percentile1.584623
Maximum2.34907
Range4.692634
Interquartile range (IQR)1.331981

Descriptive statistics

Standard deviation1.0782837
Coefficient of variation (CV)40.31499
Kurtosis0.022503468
Mean0.02674647
Median Absolute Deviation (MAD)0.6691555
Skewness-0.015721285
Sum2.674647
Variance1.1626957
MonotonicityNot monotonic
2023-12-10T20:19:41.715185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.293015 5
 
5.0%
1.544389 5
 
5.0%
0.671977 5
 
5.0%
-0.660004 5
 
5.0%
-1.30142 5
 
5.0%
-2.343564 5
 
5.0%
0.61369 5
 
5.0%
-0.624001 5
 
5.0%
0.151187 5
 
5.0%
-0.139436 5
 
5.0%
Other values (14) 50
50.0%
ValueCountFrequency (%)
-2.343564 5
5.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-1.252479 3
3.0%
-0.73138 5
5.0%
-0.660004 5
5.0%
-0.624001 5
5.0%
-0.411936 3
3.0%
-0.184388 4
4.0%
-0.139436 5
5.0%
ValueCountFrequency (%)
2.34907 5
5.0%
1.544389 5
5.0%
1.293015 5
5.0%
1.172023 3
3.0%
0.69298 5
5.0%
0.671977 5
5.0%
0.61369 5
5.0%
0.409237 3
3.0%
0.22545 3
3.0%
0.19158 3
3.0%

풍향
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북
38 
북동
24 
북서
12 
남동
10 
남
10 

Length

Max length2
Median length2
Mean length1.52
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북 38
38.0%
북동 24
24.0%
북서 12
 
12.0%
남동 10
 
10.0%
남 10
 
10.0%
남서 6
 
6.0%

Length

2023-12-10T20:19:41.938733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:42.181011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북 38
38.0%
북동 24
24.0%
북서 12
 
12.0%
남동 10
 
10.0%
남 10
 
10.0%
남서 6
 
6.0%

풍속(m/s)
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.719
Minimum0.3
Maximum1.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:42.433169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3
Q10.3
median0.5
Q30.9
95-th percentile1.8
Maximum1.8
Range1.5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.47730197
Coefficient of variation (CV)0.66384141
Kurtosis-0.33837112
Mean0.719
Median Absolute Deviation (MAD)0.2
Skewness0.96388732
Sum71.9
Variance0.22781717
MonotonicityNot monotonic
2023-12-10T20:19:42.640791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.3 31
31.0%
0.9 20
20.0%
0.4 19
19.0%
0.6 10
 
10.0%
1.4 8
 
8.0%
1.8 6
 
6.0%
1.5 6
 
6.0%
ValueCountFrequency (%)
0.3 31
31.0%
0.4 19
19.0%
0.6 10
 
10.0%
0.9 20
20.0%
1.4 8
 
8.0%
1.5 6
 
6.0%
1.8 6
 
6.0%
ValueCountFrequency (%)
1.8 6
 
6.0%
1.5 6
 
6.0%
1.4 8
 
8.0%
0.9 20
20.0%
0.6 10
 
10.0%
0.4 19
19.0%
0.3 31
31.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4723
Minimum0
Maximum136.27
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:42.920213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.9325
median10.525
Q342.3975
95-th percentile89.397
Maximum136.27
Range136.27
Interquartile range (IQR)41.465

Descriptive statistics

Standard deviation34.169901
Coefficient of variation (CV)1.2437947
Kurtosis0.63147145
Mean27.4723
Median Absolute Deviation (MAD)10.525
Skewness1.2603779
Sum2747.23
Variance1167.5822
MonotonicityNot monotonic
2023-12-10T20:19:43.422552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
26.46 2
 
2.0%
1.3 1
 
1.0%
3.5 1
 
1.0%
80.86 1
 
1.0%
22.56 1
 
1.0%
0.44 1
 
1.0%
79.62 1
 
1.0%
72.77 1
 
1.0%
34.46 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.44 1
 
1.0%
0.65 1
 
1.0%
0.82 1
 
1.0%
0.97 1
 
1.0%
0.98 1
 
1.0%
1.3 1
 
1.0%
1.52 1
 
1.0%
1.62 1
 
1.0%
1.65 1
 
1.0%
ValueCountFrequency (%)
136.27 1
1.0%
130.28 1
1.0%
105.85 1
1.0%
99.39 1
1.0%
97.32 1
1.0%
88.98 1
1.0%
84.94 1
1.0%
84.85 1
1.0%
83.4 1
1.0%
82.04 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45492367
Minimum0
Maximum2.6993654
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:43.748290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0079675993
median0.10186201
Q30.74358391
95-th percentile1.9307353
Maximum2.6993654
Range2.6993654
Interquartile range (IQR)0.73561631

Descriptive statistics

Standard deviation0.6292502
Coefficient of variation (CV)1.3831995
Kurtosis2.037089
Mean0.45492367
Median Absolute Deviation (MAD)0.10186201
Skewness1.6198384
Sum45.492367
Variance0.39595581
MonotonicityNot monotonic
2023-12-10T20:19:44.060913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0057225851116406 1
 
1.0%
0.184091161052931 1
 
1.0%
1.14698213591468 1
 
1.0%
0.711889587888093 1
 
1.0%
0.198617723259404 1
 
1.0%
0.0116212497651779 1
 
1.0%
2.10291796887151 1
 
1.0%
1.92199623957271 1
 
1.0%
0.910155152063704 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0034335510669843 1
 
1.0%
0.0054899085741343 1
 
1.0%
0.0057225851116406 1
 
1.0%
0.0087159373238834 1
 
1.0%
0.0091687132887604 1
 
1.0%
0.0113571304523329 1
 
1.0%
0.0116212497651779 1
 
1.0%
0.021657783653286 1
 
1.0%
0.0258836926588053 1
 
1.0%
ValueCountFrequency (%)
2.69936540710362 1
1.0%
2.24342944330502 1
1.0%
2.16683484257998 1
1.0%
2.10291796887151 1
1.0%
2.09677719484786 1
1.0%
1.92199623957271 1
1.0%
1.7421309875253 1
1.0%
1.70436192578847 1
1.0%
1.51895016817132 1
1.0%
1.44228953761807 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.066337491
Minimum0
Maximum0.39362456
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:44.750658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0011618445
median0.014853636
Q30.10843026
95-th percentile0.28154203
Maximum0.39362456
Range0.39362456
Interquartile range (IQR)0.10726841

Descriptive statistics

Standard deviation0.091757986
Coefficient of variation (CV)1.3831995
Kurtosis2.037089
Mean0.066337491
Median Absolute Deviation (MAD)0.014853636
Skewness1.6198384
Sum6.6337491
Variance0.0084195279
MonotonicityNot monotonic
2023-12-10T20:19:45.049195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0008344739216227 1
 
1.0%
0.0268443841555856 1
 
1.0%
0.167254250013855 1
 
1.0%
0.103808555849864 1
 
1.0%
0.028962664110474 1
 
1.0%
0.0016946239639107 1
 
1.0%
0.306649909105844 1
 
1.0%
0.280267695122233 1
 
1.0%
0.132719867719007 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0005006843529736 1
 
1.0%
0.0008005447621721 1
 
1.0%
0.0008344739216227 1
 
1.0%
0.001270967972933 1
 
1.0%
0.0013369922832152 1
 
1.0%
0.0016561097829127 1
 
1.0%
0.0016946239639107 1
 
1.0%
0.0031581628418336 1
 
1.0%
0.0037743897378011 1
 
1.0%
ValueCountFrequency (%)
0.393624558344511 1
1.0%
0.327139453396764 1
1.0%
0.315970340907352 1
1.0%
0.306649909105844 1
1.0%
0.305754454397641 1
1.0%
0.280267695122233 1
1.0%
0.254039537862615 1
1.0%
0.248532009979906 1
1.0%
0.22149505491933 1
1.0%
0.210316313884669 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027545533
Minimum0
Maximum0.16344601
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:45.357296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00048243646
median0.0061677236
Q30.045023849
95-th percentile0.11690562
Maximum0.16344601
Range0.16344601
Interquartile range (IQR)0.044541413

Descriptive statistics

Standard deviation0.038100967
Coefficient of variation (CV)1.3831995
Kurtosis2.037089
Mean0.027545533
Median Absolute Deviation (MAD)0.0061677236
Skewness1.6198384
Sum2.7545533
Variance0.0014516837
MonotonicityNot monotonic
2023-12-10T20:19:45.695123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0003465013259082 1
 
1.0%
0.0111466811149858 1
 
1.0%
0.069449527291265 1
 
1.0%
0.0431047649429819 1
 
1.0%
0.0120262614038297 1
 
1.0%
0.0007036642310751 1
 
1.0%
0.127331241086825 1
 
1.0%
0.116376468398496 1
 
1.0%
0.0551097031882942 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0002079007955449 1
 
1.0%
0.0003324128104591 1
 
1.0%
0.0003465013259082 1
 
1.0%
0.0005277481733063 1
 
1.0%
0.0005551636628287 1
 
1.0%
0.000687671862187 1
 
1.0%
0.0007036642310751 1
 
1.0%
0.0013113742488218 1
 
1.0%
0.001567252151031 1
 
1.0%
ValueCountFrequency (%)
0.163446008128312 1
1.0%
0.135839181335279 1
1.0%
0.131201394357738 1
1.0%
0.127331241086825 1
1.0%
0.126959418510177 1
1.0%
0.116376468398496 1
1.0%
0.105485665185719 1
1.0%
0.103198756434725 1
1.0%
0.0919721134752989 1
1.0%
0.0873303284055362 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.4289
Minimum0
Maximum553.85
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:45.998941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.615
median18.245
Q398.3875
95-th percentile254.9305
Maximum553.85
Range553.85
Interquartile range (IQR)97.7725

Descriptive statistics

Standard deviation108.90889
Coefficient of variation (CV)1.5686391
Kurtosis6.7567097
Mean69.4289
Median Absolute Deviation (MAD)18.245
Skewness2.420096
Sum6942.89
Variance11861.145
MonotonicityNot monotonic
2023-12-10T20:19:46.249419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.8 1
 
1.0%
5.08 1
 
1.0%
304.96 1
 
1.0%
115.68 1
 
1.0%
23.49 1
 
1.0%
0.24 1
 
1.0%
247.91 1
 
1.0%
136.62 1
 
1.0%
41.84 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.24 1
 
1.0%
0.45 1
 
1.0%
0.6 1
 
1.0%
0.62 1
 
1.0%
0.8 1
 
1.0%
0.82 1
 
1.0%
1.0 1
 
1.0%
1.06 1
 
1.0%
1.21 1
 
1.0%
ValueCountFrequency (%)
553.85 1
1.0%
505.51 1
1.0%
473.13 1
1.0%
304.96 1
1.0%
279.45 1
1.0%
253.64 1
1.0%
247.91 1
1.0%
231.79 1
1.0%
230.34 1
1.0%
211.64 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2208944
Minimum0
Maximum14.628248
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:46.544393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0051251724
median0.18060479
Q31.4665225
95-th percentile6.1069271
Maximum14.628248
Range14.628248
Interquartile range (IQR)1.4613973

Descriptive statistics

Standard deviation2.3509821
Coefficient of variation (CV)1.9256227
Kurtosis12.936143
Mean1.2208944
Median Absolute Deviation (MAD)0.18060479
Skewness3.2819087
Sum122.08944
Variance5.5271167
MonotonicityNot monotonic
2023-12-10T20:19:46.858986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0594268453901142 2
 
2.0%
0.104591247886601 2
 
2.0%
0.0035215908379326 1
 
1.0%
0.0517673853176105 1
 
1.0%
0.206805421957597 1
 
1.0%
0.0063388635082788 1
 
1.0%
6.5477818847392 1
 
1.0%
3.60839805208773 1
 
1.0%
1.10507520494328 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0023770738156045 1
 
1.0%
0.0033958197365779 1
 
1.0%
0.0035215908379326 1
 
1.0%
0.0056596995609632 1
 
1.0%
0.0063388635082788 1
 
1.0%
0.0073073009887103 1
 
1.0%
0.0077122839350725 1
 
1.0%
0.016375397396387 1
 
1.0%
0.0205447094062966 1
 
1.0%
ValueCountFrequency (%)
14.6282481419177 1
1.0%
10.0136215377189 1
1.0%
9.3722077864749 1
1.0%
6.69912225099936 1
1.0%
6.5477818847392 1
1.0%
6.08372425207062 1
1.0%
5.34234134091484 1
1.0%
4.59151616432485 1
1.0%
3.60839805208773 1
1.0%
3.60417214308221 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17803223
Minimum0
Maximum2.1331079
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:47.225933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00074735851
median0.026335997
Q30.21384999
95-th percentile0.89051912
Maximum2.1331079
Range2.1331079
Interquartile range (IQR)0.21310263

Descriptive statistics

Standard deviation0.3428229
Coefficient of variation (CV)1.9256227
Kurtosis12.936143
Mean0.17803223
Median Absolute Deviation (MAD)0.026335997
Skewness3.2819087
Sum17.803223
Variance0.11752754
MonotonicityNot monotonic
2023-12-10T20:19:47.606321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0086656907245434 2
 
2.0%
0.0152516156751964 2
 
2.0%
0.0005135224133062 1
 
1.0%
0.0075487794756022 1
 
1.0%
0.0301566037214111 1
 
1.0%
0.0009243403439512 1
 
1.0%
0.954805061120694 1
 
1.0%
0.526180740794277 1
 
1.0%
0.16114333329551 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0003466276289817 1
 
1.0%
0.0004951823271167 1
 
1.0%
0.0005135224133062 1
 
1.0%
0.0008253038785279 1
 
1.0%
0.0009243403439512 1
 
1.0%
0.0010655590076105 1
 
1.0%
0.0011246140851407 1
 
1.0%
0.0023878792218741 1
 
1.0%
0.0029958530790564 1
 
1.0%
ValueCountFrequency (%)
2.13310791457261 1
1.0%
1.46019777272132 1
1.0%
1.36666608416774 1
1.0%
0.976873686832531 1
1.0%
0.954805061120694 1
1.0%
0.887135645107259 1
1.0%
0.779026339045955 1
1.0%
0.669540151013974 1
1.0%
0.526180740794277 1
1.0%
0.525564513898309 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.073924901
Minimum0
Maximum0.88573735
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:47.886898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00031032811
median0.010935582
Q30.088797628
95-th percentile0.36977315
Maximum0.88573735
Range0.88573735
Interquartile range (IQR)0.0884873

Descriptive statistics

Standard deviation0.14235147
Coefficient of variation (CV)1.9256227
Kurtosis12.936143
Mean0.073924901
Median Absolute Deviation (MAD)0.010935582
Skewness3.2819087
Sum7.3924901
Variance0.020263941
MonotonicityNot monotonic
2023-12-10T20:19:48.234805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.003598282999816 2
 
2.0%
0.0063329780796762 2
 
2.0%
0.0002132315851742 1
 
1.0%
0.003134504302062 1
 
1.0%
0.0125220248393599 1
 
1.0%
0.0003838168533137 1
 
1.0%
0.396466817104179 1
 
1.0%
0.218487743748832 1
 
1.0%
0.066912071427691 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0001439313199926 1
 
1.0%
0.000205616171418 1
 
1.0%
0.0002132315851742 1
 
1.0%
0.0003426936190301 1
 
1.0%
0.0003838168533137 1
 
1.0%
0.0004424555392366 1
 
1.0%
0.0004669771715316 1
 
1.0%
0.0009915268710604 1
 
1.0%
0.0012439778370792 1
 
1.0%
ValueCountFrequency (%)
0.885737350865837 1
1.0%
0.606322679745675 1
1.0%
0.567485211900993 1
1.0%
0.405630444477044 1
1.0%
0.396466817104179 1
1.0%
0.368368224967838 1
1.0%
0.323477645499021 1
1.0%
0.278015338842456 1
1.0%
0.218487743748832 1
1.0%
0.218231865846623 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5337
Minimum0
Maximum46.82
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:48.672464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0575
median2.07
Q311.1675
95-th percentile24.2075
Maximum46.82
Range46.82
Interquartile range (IQR)11.11

Descriptive statistics

Standard deviation9.5148565
Coefficient of variation (CV)1.4562739
Kurtosis3.6567676
Mean6.5337
Median Absolute Deviation (MAD)2.07
Skewness1.8842404
Sum653.37
Variance90.532494
MonotonicityNot monotonic
2023-12-10T20:19:48.935378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.11 2
 
2.0%
0.09 1
 
1.0%
3.26 1
 
1.0%
33.41 1
 
1.0%
11.8 1
 
1.0%
3.0 1
 
1.0%
0.03 1
 
1.0%
22.47 1
 
1.0%
18.18 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.03 1
 
1.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.09 1
 
1.0%
0.1 1
 
1.0%
0.11 2
 
2.0%
0.14 1
 
1.0%
ValueCountFrequency (%)
46.82 1
1.0%
36.27 1
1.0%
33.68 1
1.0%
33.41 1
1.0%
25.11 1
1.0%
24.16 1
1.0%
22.52 1
1.0%
22.5 1
1.0%
22.47 1
1.0%
20.63 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11202237
Minimum0
Maximum0.92745497
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:49.239646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00056596996
median0.014249237
Q30.15490598
95-th percentile0.54730804
Maximum0.92745497
Range0.92745497
Interquartile range (IQR)0.15434001

Descriptive statistics

Standard deviation0.1931329
Coefficient of variation (CV)1.7240565
Kurtosis5.9624835
Mean0.11202237
Median Absolute Deviation (MAD)0.014249237
Skewness2.4182821
Sum11.202237
Variance0.037300316
MonotonicityNot monotonic
2023-12-10T20:19:49.474407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0003961789692674 2
 
2.0%
0.0007923579385348 2
 
2.0%
0.0071312214468137 1
 
1.0%
0.294140874738328 1
 
1.0%
0.103886929719014 1
 
1.0%
0.0264119312844952 1
 
1.0%
0.593476095962607 1
 
1.0%
0.480168910752122 1
 
1.0%
0.0861028959874543 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0002112954502759 1
 
1.0%
0.0003961789692674 2
 
2.0%
0.0006225669517059 1
 
1.0%
0.0007395340759658 1
 
1.0%
0.0007923579385348 2
 
2.0%
0.0013205965642247 1
 
1.0%
0.0015847158770697 1
 
1.0%
0.0021129545027596 1
 
1.0%
0.0023770738156045 1
 
1.0%
ValueCountFrequency (%)
0.927454967055048 1
1.0%
0.889553845661798 1
1.0%
0.71847056076648 1
1.0%
0.638112259833404 1
1.0%
0.593476095962607 1
1.0%
0.544878142399136 1
1.0%
0.480168910752122 1
1.0%
0.446097519395124 1
1.0%
0.43896629794831 1
1.0%
0.389311867133459 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01633523
Minimum0
Maximum0.13524255
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:49.727473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.2530388 × 10-5
median0.0020778401
Q30.022588567
95-th percentile0.079809086
Maximum0.13524255
Range0.13524255
Interquartile range (IQR)0.022506037

Descriptive statistics

Standard deviation0.02816286
Coefficient of variation (CV)1.7240565
Kurtosis5.9624835
Mean0.01633523
Median Absolute Deviation (MAD)0.0020778401
Skewness2.4182821
Sum1.633523
Variance0.0007931467
MonotonicityNot monotonic
2023-12-10T20:19:50.024086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
5.77712714969562e-05 2
 
2.0%
0.0001155425429939 2
 
2.0%
0.0010398828869452 1
 
1.0%
0.0428919595714068 1
 
1.0%
0.0151489111925352 1
 
1.0%
0.003851418099797 1
 
1.0%
0.0865413647024404 1
 
1.0%
0.0700187810543109 1
 
1.0%
0.0125556230053385 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
3.08113447983766e-05 1
 
1.0%
5.77712714969562e-05 2
 
2.0%
9.0783426638074e-05 1
 
1.0%
0.0001078397067943 1
 
1.0%
0.0001155425429939 2
 
2.0%
0.0001925709049898 1
 
1.0%
0.0002310850859878 1
 
1.0%
0.0003081134479837 1
 
1.0%
0.0003466276289817 1
 
1.0%
ValueCountFrequency (%)
0.135242546574374 1
1.0%
0.129715761601166 1
1.0%
0.10476820085973 1
1.0%
0.0930502612910974 1
1.0%
0.0865413647024404 1
1.0%
0.0794547553988137 1
1.0%
0.0700187810543109 1
1.0%
0.0650504517055727 1
1.0%
0.0640105688186275 1
1.0%
0.056769902791009 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006782931
Minimum0
Maximum0.056157203
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:50.271597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.4269362 × 10-5
median0.0008627883
Q30.0093795244
95-th percentile0.033139387
Maximum0.056157203
Range0.056157203
Interquartile range (IQR)0.009345255

Descriptive statistics

Standard deviation0.011694156
Coefficient of variation (CV)1.7240565
Kurtosis5.9624835
Mean0.006782931
Median Absolute Deviation (MAD)0.0008627883
Skewness2.4182821
Sum0.6782931
Variance0.00013675329
MonotonicityNot monotonic
2023-12-10T20:19:50.555867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
2.39885533321072e-05 2
 
2.0%
4.79771066642144e-05 2
 
2.0%
0.0004317939599779 1
 
1.0%
0.0178101681516822 1
 
1.0%
0.0062903317626414 1
 
1.0%
0.0015992368888071 1
 
1.0%
0.0359348528914965 1
 
1.0%
0.0290741266385139 1
 
1.0%
0.0052135122575112 1
 
1.0%
Other values (67) 67
67.0%
ValueCountFrequency (%)
0.0 22
22.0%
1.27938951104572e-05 1
 
1.0%
2.39885533321072e-05 2
 
2.0%
3.76962980933113e-05 1
 
1.0%
4.47786328866001e-05 1
 
1.0%
4.79771066642144e-05 2
 
2.0%
7.99618444403573e-05 1
 
1.0%
9.59542133284287e-05 1
 
1.0%
0.0001279389511045 1
 
1.0%
0.0001439313199926 1
 
1.0%
ValueCountFrequency (%)
0.0561572033504629 1
1.0%
0.0538622984150246 1
1.0%
0.0435032414677764 1
1.0%
0.0386375632335806 1
1.0%
0.0359348528914965 1
1.0%
0.0329922570160914 1
1.0%
0.0290741266385139 1
1.0%
0.0270111110519527 1
1.0%
0.0265793170919748 1
1.0%
0.0235727517410173 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.488
Minimum0
Maximum33.11
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:50.849612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.02
Q36.13
95-th percentile18.2315
Maximum33.11
Range33.11
Interquartile range (IQR)6.13

Descriptive statistics

Standard deviation7.0577774
Coefficient of variation (CV)1.5725886
Kurtosis4.4489634
Mean4.488
Median Absolute Deviation (MAD)1.02
Skewness2.106224
Sum448.8
Variance49.812222
MonotonicityNot monotonic
2023-12-10T20:19:51.179782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.12 3
 
3.0%
0.42 2
 
2.0%
16.85 1
 
1.0%
1.17 1
 
1.0%
8.66 1
 
1.0%
16.14 1
 
1.0%
0.1 1
 
1.0%
2.21 1
 
1.0%
9.36 1
 
1.0%
Other values (49) 49
49.0%
ValueCountFrequency (%)
0.0 39
39.0%
0.1 1
 
1.0%
0.12 3
 
3.0%
0.21 1
 
1.0%
0.33 1
 
1.0%
0.42 2
 
2.0%
0.46 1
 
1.0%
0.57 1
 
1.0%
1.01 1
 
1.0%
1.03 1
 
1.0%
ValueCountFrequency (%)
33.11 1
1.0%
29.78 1
1.0%
28.03 1
1.0%
22.8 1
1.0%
21.3 1
1.0%
18.07 1
1.0%
17.31 1
1.0%
16.85 1
1.0%
16.14 1
1.0%
14.85 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.076234046
Minimum0
Maximum0.87449904
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:51.470467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0083197584
Q30.089817074
95-th percentile0.36431297
Maximum0.87449904
Range0.87449904
Interquartile range (IQR)0.089817074

Descriptive statistics

Standard deviation0.14472525
Coefficient of variation (CV)1.8984333
Kurtosis11.134158
Mean0.076234046
Median Absolute Deviation (MAD)0.0083197584
Skewness3.0501825
Sum7.6234046
Variance0.020945399
MonotonicityNot monotonic
2023-12-10T20:19:51.881678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.0083197583546159 2
 
2.0%
0.0040498294636225 1
 
1.0%
0.103006532009531 1
 
1.0%
0.0309019596028594 1
 
1.0%
0.228727324923728 1
 
1.0%
0.426288570931752 1
 
1.0%
0.0026411931284495 1
 
1.0%
0.0583703681387343 1
 
1.0%
0.247215676822875 1
 
1.0%
Other values (51) 51
51.0%
ValueCountFrequency (%)
0.0 39
39.0%
0.0006338863508278 1
 
1.0%
0.0006791639473155 1
 
1.0%
0.0018677008551178 1
 
1.0%
0.002509133472027 1
 
1.0%
0.0026411931284495 1
 
1.0%
0.0031694317541394 1
 
1.0%
0.0040498294636225 1
 
1.0%
0.00444600843289 1
 
1.0%
0.0055465055697439 1
 
1.0%
ValueCountFrequency (%)
0.874499044829635 1
1.0%
0.5899104852392 1
1.0%
0.5552448254283 1
1.0%
0.457190530534612 1
1.0%
0.426288570931752 1
1.0%
0.361051100659049 1
1.0%
0.322225561670841 1
1.0%
0.294162884681065 1
1.0%
0.247215676822875 1
1.0%
0.242461529191666 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011116536
Minimum0
Maximum0.12752045
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:52.366266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0012131967
Q30.013097229
95-th percentile0.053124536
Maximum0.12752045
Range0.12752045
Interquartile range (IQR)0.013097229

Descriptive statistics

Standard deviation0.021104002
Coefficient of variation (CV)1.8984333
Kurtosis11.134158
Mean0.011116536
Median Absolute Deviation (MAD)0.0012131967
Skewness3.0501825
Sum1.1116536
Variance0.00044537891
MonotonicityNot monotonic
2023-12-10T20:19:53.163284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.001213196701436 2
 
2.0%
0.0005905507753022 1
 
1.0%
0.0150205305892086 1
 
1.0%
0.0045061591767625 1
 
1.0%
0.0333532807442427 1
 
1.0%
0.0621618881307249 1
 
1.0%
0.0003851418099797 1
 
1.0%
0.0085116340005515 1
 
1.0%
0.0360492734141007 1
 
1.0%
Other values (51) 51
51.0%
ValueCountFrequency (%)
0.0 39
39.0%
9.24340343951299e-05 1
 
1.0%
9.90364654233535e-05 1
 
1.0%
0.0002723502799142 1
 
1.0%
0.0003658847194807 1
 
1.0%
0.0003851418099797 1
 
1.0%
0.0004621701719756 1
 
1.0%
0.0005905507753022 1
 
1.0%
0.0006483220467991 1
 
1.0%
0.0008087978009573 1
 
1.0%
ValueCountFrequency (%)
0.127520453284281 1
1.0%
0.0860214232589678 1
1.0%
0.0809664370029841 1
1.0%
0.0666680473074874 1
1.0%
0.0621618881307249 1
1.0%
0.0526488854242261 1
1.0%
0.0469873008175244 1
1.0%
0.04289516908649 1
1.0%
0.0360492734141007 1
1.0%
0.0353560181561372 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0046159555
Minimum0
Maximum0.052950733
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:53.454555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00050375962
Q30.0054384049
95-th percentile0.022059074
Maximum0.052950733
Range0.052950733
Interquartile range (IQR)0.0054384049

Descriptive statistics

Standard deviation0.0087630836
Coefficient of variation (CV)1.8984333
Kurtosis11.134158
Mean0.0046159555
Median Absolute Deviation (MAD)0.00050375962
Skewness3.0501825
Sum0.46159555
Variance7.6791635 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:53.754865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.0005037596199742 2
 
2.0%
0.0002452163229504 1
 
1.0%
0.0062370238663478 1
 
1.0%
0.0018711071599043 1
 
1.0%
0.0138493914570699 1
 
1.0%
0.0258116833853473 1
 
1.0%
0.0001599236888807 1
 
1.0%
0.0035343135242637 1
 
1.0%
0.0149688572792349 1
 
1.0%
Other values (51) 51
51.0%
ValueCountFrequency (%)
0.0 39
39.0%
3.83816853313715e-05 1
 
1.0%
4.11232342836123e-05 1
 
1.0%
0.0001130888942799 1
 
1.0%
0.0001519275044366 1
 
1.0%
0.0001599236888807 1
 
1.0%
0.0001919084266568 1
 
1.0%
0.0002452163229504 1
 
1.0%
0.0002692048762825 1
 
1.0%
0.0003358397466495 1
 
1.0%
ValueCountFrequency (%)
0.0529507333884046 1
1.0%
0.0357189559115076 1
1.0%
0.0336199574949482 1
1.0%
0.0276827905452517 1
1.0%
0.0258116833853473 1
1.0%
0.0218615682699937 1
1.0%
0.0195106900434472 1
1.0%
0.0178115008490896 1
1.0%
0.0149688572792349 1
1.0%
0.0146809946392496 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8700.2428
Minimum0
Maximum47498.07
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:54.062578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1378
median3805.21
Q313595.328
95-th percentile26774.531
Maximum47498.07
Range47498.07
Interquartile range (IQR)13217.328

Descriptive statistics

Standard deviation10837.373
Coefficient of variation (CV)1.2456402
Kurtosis2.066474
Mean8700.2428
Median Absolute Deviation (MAD)3805.21
Skewness1.5333418
Sum870024.28
Variance1.1744864 × 108
MonotonicityNot monotonic
2023-12-10T20:19:54.312550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
441.48 1
 
1.0%
2941.43 1
 
1.0%
33851.93 1
 
1.0%
24607.32 1
 
1.0%
6940.37 1
 
1.0%
127.15 1
 
1.0%
25455.98 1
 
1.0%
17373.27 1
 
1.0%
12237.33 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
127.15 1
 
1.0%
271.47 1
 
1.0%
331.11 1
 
1.0%
393.63 1
 
1.0%
441.48 1
 
1.0%
547.94 1
 
1.0%
551.85 1
 
1.0%
633.43 1
 
1.0%
634.51 1
 
1.0%
ValueCountFrequency (%)
47498.07 1
1.0%
43560.05 1
1.0%
42108.44 1
1.0%
33851.93 1
1.0%
32336.43 1
1.0%
26481.8 1
1.0%
26012.41 1
1.0%
25986.46 1
1.0%
25455.98 1
1.0%
24803.76 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.24016
Minimum0
Maximum1254.5158
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:54.545528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.8283264
median43.097031
Q3224.9106
95-th percentile496.92105
Maximum1254.5158
Range1254.5158
Interquartile range (IQR)222.08228

Descriptive statistics

Standard deviation219.07745
Coefficient of variation (CV)1.4778549
Kurtosis7.2892769
Mean148.24016
Median Absolute Deviation (MAD)43.097031
Skewness2.3908406
Sum14824.016
Variance47994.927
MonotonicityNot monotonic
2023-12-10T20:19:54.799520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
1.94338990391316 1
 
1.0%
77.6888470381527 1
 
1.0%
298.031616335847 1
 
1.0%
216.642281645195 1
 
1.0%
61.1028585096573 1
 
1.0%
3.35827706282356 1
 
1.0%
672.341594539484 1
 
1.0%
458.861613426982 1
 
1.0%
323.211519065691 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
1.43400939716038 1
 
1.0%
1.87398312163054 1
 
1.0%
1.94338990391316 1
 
1.0%
3.12330520271757 1
 
1.0%
3.35827706282356 1
 
1.0%
3.70950292504478 1
 
1.0%
4.12074549912146 1
 
1.0%
8.23435977679612 1
 
1.0%
10.2844098632132 1
 
1.0%
ValueCountFrequency (%)
1254.51576098614 1
1.0%
862.878785511881 1
1.0%
834.123917832966 1
1.0%
687.037985464115 1
1.0%
672.341594539484 1
1.0%
487.688387588818 1
1.0%
485.117714316898 1
1.0%
458.861613426982 1
1.0%
457.985265546962 1
1.0%
453.049073679375 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.61655
Minimum0
Maximum182.93493
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:55.052279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.41242979
median6.2844584
Q332.796722
95-th percentile72.461597
Maximum182.93493
Range182.93493
Interquartile range (IQR)32.384292

Descriptive statistics

Standard deviation31.946124
Coefficient of variation (CV)1.4778549
Kurtosis7.2892769
Mean21.61655
Median Absolute Deviation (MAD)6.2844584
Skewness2.3908406
Sum2161.655
Variance1020.5549
MonotonicityNot monotonic
2023-12-10T20:19:55.307957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.283387343783069 1
 
1.0%
11.3286767412861 1
 
1.0%
43.4593119716879 1
 
1.0%
31.5910258784996 1
 
1.0%
8.91008887909622 1
 
1.0%
0.489707811389199 1
 
1.0%
98.0416221200725 1
 
1.0%
66.9117265306616 1
 
1.0%
47.1310742551898 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.209108894310383 1
 
1.0%
0.273266367219388 1
 
1.0%
0.283387343783069 1
 
1.0%
0.455443945365647 1
 
1.0%
0.489707811389199 1
 
1.0%
0.5409239692803 1
 
1.0%
0.600891832900174 1
 
1.0%
1.2007437829134 1
 
1.0%
1.49968443678949 1
 
1.0%
ValueCountFrequency (%)
182.934926503429 1
1.0%
125.825973748549 1
1.0%
121.632905977665 1
1.0%
100.184666693343 1
1.0%
98.0416221200725 1
1.0%
71.1152797873231 1
1.0%
70.7404212636699 1
1.0%
66.9117265306616 1
1.0%
66.7839364781103 1
1.0%
66.064135320894 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9759104
Minimum0
Maximum75.960666
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:55.608952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17125457
median2.6095161
Q313.61829
95-th percentile30.088465
Maximum75.960666
Range75.960666
Interquartile range (IQR)13.447035

Descriptive statistics

Standard deviation13.265093
Coefficient of variation (CV)1.4778549
Kurtosis7.2892769
Mean8.9759104
Median Absolute Deviation (MAD)2.6095161
Skewness2.3908406
Sum897.59104
Variance175.9627
MonotonicityNot monotonic
2023-12-10T20:19:55.924301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.11767185027843 1
 
1.0%
4.704043361844 1
 
1.0%
18.0457517377724 1
 
1.0%
13.1176446262273 1
 
1.0%
3.69976524199015 1
 
1.0%
0.203342970411829 1
 
1.0%
40.7101422567369 1
 
1.0%
27.7839742632065 1
 
1.0%
19.5703895565063 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0868289676408951 1
 
1.0%
0.113469284197057 1
 
1.0%
0.11767185027843 1
 
1.0%
0.189115473661762 1
 
1.0%
0.203342970411829 1
 
1.0%
0.224609622559186 1
 
1.0%
0.249510273996876 1
 
1.0%
0.498588754033774 1
 
1.0%
0.62271885594817 1
 
1.0%
ValueCountFrequency (%)
75.960665691144 1
1.0%
52.2471291287128 1
1.0%
50.5060279335918 1
1.0%
41.6000056387759 1
1.0%
40.7101422567369 1
1.0%
29.5294293807573 1
1.0%
29.3737756543697 1
1.0%
27.7839742632065 1
1.0%
27.7309115832359 1
1.0%
27.4320262029945 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.16
Minimum0
Maximum20.85
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:56.314345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0375
median1.27
Q34.395
95-th percentile11.9945
Maximum20.85
Range20.85
Interquartile range (IQR)4.3575

Descriptive statistics

Standard deviation4.4111276
Coefficient of variation (CV)1.3959264
Kurtosis3.1584237
Mean3.16
Median Absolute Deviation (MAD)1.27
Skewness1.8131187
Sum316
Variance19.458046
MonotonicityNot monotonic
2023-12-10T20:19:56.715615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.04 3
 
3.0%
0.09 2
 
2.0%
3.23 2
 
2.0%
0.51 2
 
2.0%
0.03 2
 
2.0%
0.27 2
 
2.0%
0.48 2
 
2.0%
9.29 1
 
1.0%
11.91 1
 
1.0%
Other values (61) 61
61.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.01 1
 
1.0%
0.03 2
 
2.0%
0.04 3
 
3.0%
0.06 1
 
1.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.1 1
 
1.0%
0.13 1
 
1.0%
0.18 1
 
1.0%
ValueCountFrequency (%)
20.85 1
1.0%
17.63 1
1.0%
15.27 1
1.0%
14.02 1
1.0%
13.6 1
1.0%
11.91 1
1.0%
11.73 1
1.0%
11.45 1
1.0%
10.92 1
1.0%
9.5 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.052200774
Minimum0
Maximum0.41301658
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:57.087240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00021381087
median0.011743877
Q30.081645883
95-th percentile0.24553852
Maximum0.41301658
Range0.41301658
Interquartile range (IQR)0.081432072

Descriptive statistics

Standard deviation0.081875099
Coefficient of variation (CV)1.5684652
Kurtosis5.4512791
Mean0.052200774
Median Absolute Deviation (MAD)0.011743877
Skewness2.2286746
Sum5.2200774
Variance0.0067035319
MonotonicityNot monotonic
2023-12-10T20:19:57.466533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0853105380489194 2
 
2.0%
0.0134700849550925 2
 
2.0%
0.0023770738156045 2
 
2.0%
0.0001760795418966 1
 
1.0%
0.249592750638479 1
 
1.0%
0.104855367199446 1
 
1.0%
0.0575780102001995 1
 
1.0%
0.0368886640273449 1
 
1.0%
0.0002641193128449 1
 
1.0%
Other values (66) 66
66.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.0001584715877069 1
 
1.0%
0.0001697909868288 1
 
1.0%
0.0001760795418966 1
 
1.0%
0.0002263879824385 1
 
1.0%
0.0002641193128449 1
 
1.0%
0.0004401988547415 1
 
1.0%
0.0010564772513798 1
 
1.0%
0.0012149488390867 1
 
1.0%
0.00152811888146 1
 
1.0%
ValueCountFrequency (%)
0.413016575461293 1
1.0%
0.370295276608622 1
1.0%
0.269401699101851 1
1.0%
0.249592750638479 1
1.0%
0.248800392699945 1
1.0%
0.24536684163296 1
1.0%
0.208654257147512 1
1.0%
0.188185010402028 1
1.0%
0.160056303584041 1
1.0%
0.158207468394126 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0076119767
Minimum0
Maximum0.060226551
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:57.719199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.1178147 × 10-5
median0.0017125055
Q30.011905696
95-th percentile0.035804708
Maximum0.060226551
Range0.060226551
Interquartile range (IQR)0.011874518

Descriptive statistics

Standard deviation0.011939121
Coefficient of variation (CV)1.5684652
Kurtosis5.4512791
Mean0.0076119767
Median Absolute Deviation (MAD)0.0017125055
Skewness2.2286746
Sum0.76119767
Variance0.00014254261
MonotonicityNot monotonic
2023-12-10T20:19:58.004749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.0124400804623446 2
 
2.0%
0.0019642232308965 2
 
2.0%
0.0003466276289817 2
 
2.0%
2.56761206653139e-05 1
 
1.0%
0.0363959010430824 1
 
1.0%
0.0152901298561944 1
 
1.0%
0.0083960914575576 1
 
1.0%
0.0053791472793832 1
 
1.0%
3.85141809979708e-05 1
 
1.0%
Other values (66) 66
66.0%
ValueCountFrequency (%)
0.0 22
22.0%
2.31085085987825e-05 1
 
1.0%
2.47591163558384e-05 1
 
1.0%
2.56761206653139e-05 1
 
1.0%
3.30121551411178e-05 1
 
1.0%
3.85141809979708e-05 1
 
1.0%
6.41903016632847e-05 1
 
1.0%
0.0001540567239918 1
 
1.0%
0.0001771652325906 1
 
1.0%
0.0002228320472025 1
 
1.0%
ValueCountFrequency (%)
0.0602265505355768 1
1.0%
0.0539968817591551 1
1.0%
0.0392844646179302 1
1.0%
0.0363959010430824 1
1.0%
0.0362803585000885 1
1.0%
0.0357796741471149 1
1.0%
0.0304262029883969 1
1.0%
0.0274413539610542 1
1.0%
0.0233395936847703 1
1.0%
0.0230699944177845 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0031607459
Minimum0
Maximum0.025008067
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:58.283550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2946203 × 10-5
median0.00071108926
Q30.004943641
95-th percentile0.014867306
Maximum0.025008067
Range0.025008067
Interquartile range (IQR)0.0049306948

Descriptive statistics

Standard deviation0.00495752
Coefficient of variation (CV)1.5684652
Kurtosis5.4512791
Mean0.0031607459
Median Absolute Deviation (MAD)0.00071108926
Skewness2.2286746
Sum0.31607459
Variance2.4577005 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:58.583705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
0.005165535150847 2
 
2.0%
0.0008156108132916 2
 
2.0%
0.0001439313199926 2
 
2.0%
1.06615792587143e-05 1
 
1.0%
0.0151127885992275 1
 
1.0%
0.0063489704485643 1
 
1.0%
0.0034863364175995 1
 
1.0%
0.0022336008547006 1
 
1.0%
1.59923688880715e-05 1
 
1.0%
Other values (66) 66
66.0%
ValueCountFrequency (%)
0.0 22
22.0%
9.59542133284287e-06 1
 
1.0%
1.02808085709031e-05 1
 
1.0%
1.06615792587143e-05 1
 
1.0%
1.37077447612041e-05 1
 
1.0%
1.59923688880715e-05 1
 
1.0%
2.66539481467858e-05 1
 
1.0%
6.39694755522858e-05 1
 
1.0%
7.35648968851287e-05 1
 
1.0%
9.25272771381277e-05 1
 
1.0%
ValueCountFrequency (%)
0.0250080668487217 1
1.0%
0.0224213011810762 1
1.0%
0.0163122162658329 1
1.0%
0.0151127885992275 1
1.0%
0.0150648114925633 1
1.0%
0.0148569106970184 1
1.0%
0.0126339714215764 1
1.0%
0.0113945628327509 1
1.0%
0.0096913755461713 1
1.0%
0.0095794289639548 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3906
Minimum0
Maximum9.17
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:58.882505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0175
median0.56
Q31.935
95-th percentile5.277
Maximum9.17
Range9.17
Interquartile range (IQR)1.9175

Descriptive statistics

Standard deviation1.9409879
Coefficient of variation (CV)1.3957917
Kurtosis3.153065
Mean1.3906
Median Absolute Deviation (MAD)0.56
Skewness1.8121303
Sum139.06
Variance3.767434
MonotonicityNot monotonic
2023-12-10T20:19:59.135291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
23.0%
0.02 4
 
4.0%
0.04 3
 
3.0%
0.21 3
 
3.0%
0.12 2
 
2.0%
1.84 2
 
2.0%
0.01 2
 
2.0%
0.73 2
 
2.0%
1.42 2
 
2.0%
0.84 1
 
1.0%
Other values (56) 56
56.0%
ValueCountFrequency (%)
0.0 23
23.0%
0.01 2
 
2.0%
0.02 4
 
4.0%
0.03 1
 
1.0%
0.04 3
 
3.0%
0.06 1
 
1.0%
0.08 1
 
1.0%
0.1 1
 
1.0%
0.12 2
 
2.0%
0.13 1
 
1.0%
ValueCountFrequency (%)
9.17 1
1.0%
7.76 1
1.0%
6.72 1
1.0%
6.17 1
1.0%
5.98 1
1.0%
5.24 1
1.0%
5.16 1
1.0%
5.04 1
1.0%
4.8 1
1.0%
4.18 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022973117
Minimum0
Maximum0.18164806
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:59.499885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.0179077 × 10-5
median0.0051880579
Q30.035854197
95-th percentile0.10810403
Maximum0.18164806
Range0.18164806
Interquartile range (IQR)0.035774018

Descriptive statistics

Standard deviation0.036032587
Coefficient of variation (CV)1.5684675
Kurtosis5.4411848
Mean0.022973117
Median Absolute Deviation (MAD)0.0051880579
Skewness2.2274656
Sum2.2973117
Variance0.0012983474
MonotonicityNot monotonic
2023-12-10T20:19:59.791817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
23.0%
0.0005282386256899 3
 
3.0%
0.0010564772513798 2
 
2.0%
0.0011885369078022 2
 
2.0%
0.0015847158770697 2
 
2.0%
0.0375049424239832 2
 
2.0%
0.0461328399769183 1
 
1.0%
0.0253554540331154 1
 
1.0%
0.0161993178544904 1
 
1.0%
0.108024798953585 1
 
1.0%
Other values (62) 62
62.0%
ValueCountFrequency (%)
0.0 23
23.0%
5.28238625689904e-05 1
 
1.0%
5.65969956096325e-05 1
 
1.0%
8.80397709483173e-05 1
 
1.0%
0.0001131939912192 1
 
1.0%
0.0001760795418966 1
 
1.0%
0.0005282386256899 3
 
3.0%
0.0006791639473155 1
 
1.0%
0.0007923579385348 1
 
1.0%
0.0010564772513798 2
 
2.0%
ValueCountFrequency (%)
0.181648057409116 1
1.0%
0.162961616025335 1
1.0%
0.118457511810961 1
1.0%
0.1098736341435 1
1.0%
0.109609514830655 1
1.0%
0.108024798953585 1
1.0%
0.0919135208700432 1
1.0%
0.0828014045768924 1
1.0%
0.0705198565296021 1
1.0%
0.0697274985910673 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0033499662
Minimum0
Maximum0.026488128
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:00.149370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.1691805 × 10-5
median0.00075652856
Q30.0052283001
95-th percentile0.015763854
Maximum0.026488128
Range0.026488128
Interquartile range (IQR)0.0052166083

Descriptive statistics

Standard deviation0.0052543132
Coefficient of variation (CV)1.5684675
Kurtosis5.4411848
Mean0.0033499662
Median Absolute Deviation (MAD)0.00075652856
Skewness2.2274656
Sum0.33499662
Variance2.7607807 × 10-5
MonotonicityNot monotonic
2023-12-10T20:20:00.446463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
23.0%
7.70283619959416e-05 3
 
3.0%
0.0001540567239918 2
 
2.0%
0.0001733138144908 2
 
2.0%
0.0002310850859878 2
 
2.0%
0.0054690137017118 2
 
2.0%
0.0067271436143122 1
 
1.0%
0.0036973613758052 1
 
1.0%
0.0023622031012088 1
 
1.0%
0.0157523000281701 1
 
1.0%
Other values (62) 62
62.0%
ValueCountFrequency (%)
0.0 23
23.0%
7.70283619959416e-06 1
 
1.0%
8.25303878527946e-06 1
 
1.0%
1.28380603326569e-05 1
 
1.0%
1.65060775705589e-05 1
 
1.0%
2.56761206653139e-05 1
 
1.0%
7.70283619959416e-05 3
 
3.0%
9.90364654233535e-05 1
 
1.0%
0.0001155425429939 1
 
1.0%
0.0001540567239918 2
 
2.0%
ValueCountFrequency (%)
0.0264881279813544 1
1.0%
0.023763249675748 1
1.0%
0.0172736101775899 1
1.0%
0.0160218992951559 1
1.0%
0.0159833851141579 1
1.0%
0.0157523000281701 1
1.0%
0.0134029349872938 1
1.0%
0.0120741957428638 1
1.0%
0.0102832863264582 1
1.0%
0.0101677437834643 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0013910174
Minimum0
Maximum0.010998752
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:00.746837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.8548263 × 10-6
median0.00031413582
Q30.0021709641
95-th percentile0.0065456766
Maximum0.010998752
Range0.010998752
Interquartile range (IQR)0.0021661093

Descriptive statistics

Standard deviation0.0021817656
Coefficient of variation (CV)1.5684675
Kurtosis5.4411848
Mean0.0013910174
Median Absolute Deviation (MAD)0.00031413582
Skewness2.2274656
Sum0.13910174
Variance4.7601011 × 10-6
MonotonicityNot monotonic
2023-12-10T20:20:01.432526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
23.0%
3.19847377761429e-05 3
 
3.0%
6.39694755522858e-05 2
 
2.0%
7.19656599963215e-05 2
 
2.0%
9.59542133284287e-05 2
 
2.0%
0.0022709163821061 2
 
2.0%
0.0027933337657831 1
 
1.0%
0.0015352674132548 1
 
1.0%
0.0009808652918017 1
 
1.0%
0.0065408788752212 1
 
1.0%
Other values (62) 62
62.0%
ValueCountFrequency (%)
0.0 23
23.0%
3.19847377761429e-06 1
 
1.0%
3.42693619030103e-06 1
 
1.0%
5.33078962935715e-06 1
 
1.0%
6.85387238060205e-06 1
 
1.0%
1.06615792587143e-05 1
 
1.0%
3.19847377761429e-05 3
 
3.0%
4.11232342836123e-05 1
 
1.0%
4.79771066642144e-05 1
 
1.0%
6.39694755522858e-05 2
 
2.0%
ValueCountFrequency (%)
0.0109987517027711 1
1.0%
0.00986729160394 1
1.0%
0.0071725774463 1
1.0%
0.0066528254574377 1
1.0%
0.0066368330885496 1
1.0%
0.0065408788752212 1
1.0%
0.0055653443730488 1
1.0%
0.0050136076464104 1
1.0%
0.004269962493115 1
1.0%
0.0042219853864508 1
1.0%

Sample

기본키도로종류지점주소방향차선측정구간장비이정(km)측정일측정시간평균 속도(km/hr)위도(°)경도(°)기울기(°)풍향풍속(m/s)CO(g/km)CO_100M(g/km)CO_300M(g/km)CO_500M(g/km)NOX(g/km)NOX_100M(g/km)NOX_300M(g/km)NOX_500M(g/km)HC(g/km)HC_100M(g/km)HC_300M(g/km)HC_500M(g/km)PM(g/km)PM_100M(g/km)PM_300M(g/km)PM_500M(g/km)CO2(g/km)CO2_100M(g/km)CO2_300M(g/km)CO2_500M(g/km)TSP(g/km)TSP_100M(g/km)TSP_300M(g/km)TSP_500M(g/km)PM10(g/km)PM10_100M(g/km)PM10_300M(g/km)PM10_500M(g/km)
01도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.420201201096.035.681944129.1811110.22545북서1.81.30.0057230.0008340.0003470.80.0035220.0005140.0002130.090.0003960.0000580.0000240.00.00.00.0441.481.943390.2833870.1176720.040.0001760.0000260.0000110.020.0000880.0000130.000005
12도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420201201094.6735.681944129.1811110.22545북서1.87.220.0317820.0046350.0019248.670.0381650.0055650.0023111.070.004710.0006870.0002850.570.0025090.0003660.0001522336.3110.284411.4996840.6227190.820.003610.0005260.0002190.360.0015850.0002310.000096
23도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420201201081.5735.681944129.1811110.22545북서1.824.170.1063960.0155150.006442100.390.4419160.0644410.0267588.070.0355240.005180.0021516.370.0280410.0040890.0016988964.8539.4631675.7545642.3894862.880.0126780.0018490.0007681.270.0055910.0008150.000339
34도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202012010107.035.681944129.1811110.19158북서1.82.580.0113570.0016560.0006881.660.0073070.0010660.0004420.180.0007920.0001160.0000480.00.00.00.0936.114.1207450.6008920.249510.10.000440.0000640.0000270.040.0001760.0000260.000011
45도로공사A-0010-0538E-6울산 울주군 두서면 활천리S2활천IC-언양JC53.420201201091.6735.681944129.1811110.19158북서1.813.830.060880.0088780.00368618.80.0827570.0120680.0050112.50.0110050.0016050.0006661.010.0044460.0006480.0002693858.1816.9836642.4765771.0283571.210.0053260.0007770.0003230.530.0023330.000340.000141
56도로공사A-0010-0538E-6울산 울주군 두서면 활천리S3활천IC-언양JC53.420201201082.8335.681944129.1811110.19158북서1.837.930.1669670.0243470.01011143.820.6330940.0923180.03833412.820.0564330.0082290.0034178.860.0390020.0056870.00236212393.3754.5554737.9553423.3033224.310.0189730.0027670.0011491.90.0083640.001220.000506
67도로공사A-0010-1073E-6경북 경산시 진량읍E1영천IC-경산IC107.31202012010108.535.882306128.8488160.409237북서1.51.650.0087160.0012710.0005281.460.0077120.0011250.0004670.140.000740.0001080.0000450.120.0006340.0000920.000038702.243.7095030.5409240.224610.230.0012150.0001770.0000740.10.0005280.0000770.000032
78도로공사A-0010-1073E-6경북 경산시 진량읍E2영천IC-경산IC107.3120201201093.6535.882306128.8488160.409237북서1.58.450.0446360.0065090.00270328.00.1479070.0215680.0089561.940.0102480.0014940.0006211.860.0098250.0014330.0005953752.2419.8207812.8902891.2001441.70.008980.0013090.0005440.750.0039620.0005780.00024
89도로공사A-0010-1073E-6경북 경산시 진량읍E3영천IC-경산IC107.3120201201078.8335.882306128.8488160.409237북서1.513.460.0711010.0103680.00430544.460.2348550.0342470.014224.080.0215520.0031430.0013052.780.0146850.0021410.0008893618.7119.1154242.7874331.1574351.330.0070260.0010240.0004250.590.0031170.0004540.000189
910도로공사A-0010-1073E-6경북 경산시 진량읍S1경산IC-영천IC107.31202012010112.3335.882306128.848816-0.411936북서1.50.650.0034340.0005010.0002080.450.0023770.0003470.0001440.040.0002110.0000310.0000130.00.00.00.0271.471.4340090.2091090.0868290.030.0001580.0000230.000010.010.0000530.0000080.000003
기본키도로종류지점주소방향차선측정구간장비이정(km)측정일측정시간평균 속도(km/hr)위도(°)경도(°)기울기(°)풍향풍속(m/s)CO(g/km)CO_100M(g/km)CO_300M(g/km)CO_500M(g/km)NOX(g/km)NOX_100M(g/km)NOX_300M(g/km)NOX_500M(g/km)HC(g/km)HC_100M(g/km)HC_300M(g/km)HC_500M(g/km)PM(g/km)PM_100M(g/km)PM_300M(g/km)PM_500M(g/km)CO2(g/km)CO2_100M(g/km)CO2_300M(g/km)CO2_500M(g/km)TSP(g/km)TSP_100M(g/km)TSP_300M(g/km)TSP_500M(g/km)PM10(g/km)PM10_100M(g/km)PM10_300M(g/km)PM10_500M(g/km)
9091도로공사A-0010-4105E-10경기 성남시 수정구 금토동S1양재IC-금토JC410.412020120100.037.42325127.077278-0.73138남0.64.190.0553330.0080690.003354.50.0594270.0086660.0035980.160.0021130.0003080.0001280.00.00.00.03563.0647.0536486.8614172.8490880.270.0035660.000520.0002160.120.0015850.0002310.000096
9192도로공사A-0010-4105E-10경기 성남시 수정구 금토동S2양재IC-금토JC410.412020120100.037.42325127.077278-0.73138남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9293도로공사A-0010-4105E-10경기 성남시 수정구 금토동S3양재IC-금토JC410.412020120100.037.42325127.077278-0.73138남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9394도로공사A-0010-4105E-10경기 성남시 수정구 금토동S4양재IC-금토JC410.4120201201080.6737.42325127.077278-0.73138남0.697.321.2852050.187410.077819184.662.4386140.3556010.14765818.260.2411410.0351630.01460110.490.1385310.0202010.00838826481.8349.71774150.99624221.1753367.860.1037990.0151360.0062853.460.0456930.0066630.002767
9495도로공사A-0010-4105E-10경기 성남시 수정구 금토동S5양재IC-금토JC410.4120201201075.7137.42325127.077278-0.73138남0.681.591.0774750.1571190.065241105.191.3891360.2025650.08411212.680.1674520.0244180.0101395.380.0710480.010360.00430220890.56275.88001840.2291416.7044774.560.0602190.0087810.0036462.010.0265440.0038710.001607
9596도로공사A-0100-0698S-8경남 진주시 가좌동E1진주JC-진주IC69.8202012010135.035.149019128.104573-0.184388북동0.30.980.0258840.0037740.0015670.820.0216580.0031580.0013110.060.0015850.0002310.0000960.00.00.00.0547.9414.4721542.1103460.8762860.090.0023770.0003470.0001440.040.0010560.0001540.000064
9697도로공사A-0100-0698S-8경남 진주시 가좌동E2진주JC-진주IC69.820201201099.535.149019128.104573-0.184388북동0.39.870.2606860.0380130.01578417.690.4672270.0681320.0282911.90.0501830.0073180.0030391.350.0356560.0051990.0021593314.4487.54076212.7652945.3005751.740.0459570.0067010.0027830.770.0203370.0029660.001231
9798도로공사A-0100-0698S-8경남 진주시 가좌동E3진주JC-진주IC69.820201201089.335.149019128.104573-0.184388북동0.320.830.5501610.0802250.03331281.362.1488750.3133510.1301146.240.164810.0240330.0099795.240.1383990.0201810.008388521.41225.06689532.81951313.6277533.990.1053840.0153670.0063811.750.0462210.006740.002799
9899도로공사A-0100-0698S-8경남 진주시 가좌동E4진주JC-진주IC69.820201201083.8335.149019128.104573-0.184388북동0.326.460.698860.1019090.04231658.371.5416640.2248070.0933478.430.2226530.0324670.0134823.140.0829330.0120930.0050224810.51127.0548618.5272857.6931452.330.061540.0089740.0037261.020.026940.0039280.001631
99100도로공사A-0100-0698S-8경남 진주시 가좌동S1진주IC-진주JC69.8202012010129.035.149019128.1045730.123751북동0.30.820.0216580.0031580.0013110.620.0163750.0023880.0009920.050.0013210.0001930.000080.00.00.00.0393.6310.3965291.5160340.6295080.060.0015850.0002310.0000960.020.0005280.0000770.000032