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

Numeric34
Categorical10

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 12 (12.0%) zerosZeros
CO(g/km) has 12 (12.0%) zerosZeros
CO_100M(g/km) has 12 (12.0%) zerosZeros
CO_300M(g/km) has 12 (12.0%) zerosZeros
CO_500M(g/km) has 12 (12.0%) zerosZeros
NOX(g/km) has 12 (12.0%) zerosZeros
NOX_100M(g/km) has 12 (12.0%) zerosZeros
NOX_300M(g/km) has 12 (12.0%) zerosZeros
NOX_500M(g/km) has 12 (12.0%) zerosZeros
HC(g/km) has 12 (12.0%) zerosZeros
HC_100M(g/km) has 12 (12.0%) zerosZeros
HC_300M(g/km) has 12 (12.0%) zerosZeros
HC_500M(g/km) has 12 (12.0%) zerosZeros
PM(g/km) has 29 (29.0%) zerosZeros
PM_100M(g/km) has 29 (29.0%) zerosZeros
PM_300M(g/km) has 29 (29.0%) zerosZeros
PM_500M(g/km) has 29 (29.0%) zerosZeros
CO2(g/km) has 12 (12.0%) zerosZeros
CO2_100M(g/km) has 12 (12.0%) zerosZeros
CO2_300M(g/km) has 12 (12.0%) zerosZeros
CO2_500M(g/km) has 12 (12.0%) zerosZeros
TSP(g/km) has 12 (12.0%) zerosZeros
TSP_100M(g/km) has 12 (12.0%) zerosZeros
TSP_300M(g/km) has 12 (12.0%) zerosZeros
TSP_500M(g/km) has 12 (12.0%) zerosZeros
PM10(g/km) has 13 (13.0%) zerosZeros
PM10_100M(g/km) has 13 (13.0%) zerosZeros
PM10_300M(g/km) has 13 (13.0%) zerosZeros
PM10_500M(g/km) has 13 (13.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:18:07.751216
Analysis finished2023-12-10 11:18:08.254225
Duration0.5 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
2023-12-10T20:18:08.372837image/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
2023-12-10T20:18:08.613906image/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

2023-12-10T20:18:08.814934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:08.978090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3352E-9
A-0010-1185E-8
A-0010-3801E-10
Other values (10)
55 

Length

Max length15
Median length14
Mean length14.28
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-0010-3352E-9 9
 
9.0%
A-0010-1185E-8 8
 
8.0%
A-0010-3801E-10 8
 
8.0%
A-0010-0538E-6 6
 
6.0%
A-0010-1073E-6 6
 
6.0%
A-0010-1880E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (5) 25
25.0%

Length

2023-12-10T20:18:09.156829image/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-0010-3352e-9 9
 
9.0%
a-0010-1185e-8 8
 
8.0%
a-0010-3801e-10 8
 
8.0%
a-0010-0538e-6 6
 
6.0%
a-0010-1073e-6 6
 
6.0%
a-0010-1880e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (5) 25
25.0%

주소
Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충북 청원군 남이면
13 
충남 천안시 서북구 성거읍 송남리
10 
경기 안성시 원곡면
10 
충청 천안시 구성동
대구 동구 안심3동
Other values (8)
50 

Length

Max length18
Median length10
Mean length11.82
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 (%)
충북 청원군 남이면 13
13.0%
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
충청 천안시 구성동 9
9.0%
대구 동구 안심3동 8
8.0%
경기 화성시 동탄면 송리 8
8.0%
울산 울주군 두서면 활천리 6
 
6.0%
경북 경산시 진량읍 6
 
6.0%
경북 김천시 아포읍 봉산리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (3) 18
18.0%

Length

2023-12-10T20:18:09.396206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 25
 
7.2%
천안시 19
 
5.5%
청원군 19
 
5.5%
경기 18
 
5.2%
남이면 13
 
3.8%
대덕구 12
 
3.5%
대전 12
 
3.5%
경북 12
 
3.5%
충남 10
 
2.9%
서북구 10
 
2.9%
Other values (27) 196
56.6%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
E
53 
S
47 

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 53
53.0%
S 47
47.0%

Length

2023-12-10T20:18:09.619206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:09.789154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 53
53.0%
s 47
47.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
27 
2
27 
3
27 
4
12 
5

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 27
27.0%
2 27
27.0%
3 27
27.0%
4 12
12.0%
5 7
 
7.0%

Length

2023-12-10T20:18:09.964458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:10.148240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
27.0%
2 27
27.0%
3 27
27.0%
4 12
12.0%
5 7
 
7.0%

측정구간
Categorical

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
오산IC-동탄JC
 
5
안성IC-안성JC
 
5
북천안IC-천안IC
 
5
천안IC-북천안IC
 
5
천안IC-천안JC
 
5
Other values (22)
75 

Length

Max length10
Median length9
Mean length9.32
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오산IC-동탄JC 5
 
5.0%
안성IC-안성JC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
안성JC-안성IC 5
 
5.0%
천안JC-천안IC 4
 
4.0%
청주JC-남청주IC 4
 
4.0%
동대구JC-경산IC 4
 
4.0%
Other values (17) 53
53.0%

Length

2023-12-10T20:18:10.373747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오산ic-동탄jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
청주jc-남이jc 5
 
5.0%
안성jc-안성ic 5
 
5.0%
안성ic-안성jc 5
 
5.0%
경산ic-동대구jc 4
 
4.0%
남청주ic-청주jc 4
 
4.0%
동대구jc-경산ic 4
 
4.0%
Other values (17) 53
53.0%

장비이정(km)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.4188
Minimum53.4
Maximum380.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:10.568769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.4
5-th percentile53.4
Q1188.02
median297.9
Q3345.2
95-th percentile380.1
Maximum380.1
Range326.7
Interquartile range (IQR)157.18

Descriptive statistics

Standard deviation98.620924
Coefficient of variation (CV)0.36605064
Kurtosis-0.36351914
Mean269.4188
Median Absolute Deviation (MAD)47.3
Skewness-0.97229294
Sum26941.88
Variance9726.0866
MonotonicityIncreasing
2023-12-10T20:18:10.776629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
345.2 10
 
10.0%
361.3 10
 
10.0%
335.2 9
 
9.0%
118.5 8
 
8.0%
380.1 8
 
8.0%
53.4 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
Other values (5) 25
25.0%
ValueCountFrequency (%)
53.4 6
6.0%
107.31 6
6.0%
118.5 8
8.0%
188.02 6
6.0%
269.5 6
6.0%
276.1 6
6.0%
295.3 4
4.0%
295.6 4
4.0%
297.9 5
5.0%
301.9 6
6.0%
ValueCountFrequency (%)
380.1 8
8.0%
361.3 10
10.0%
345.2 10
10.0%
335.2 9
9.0%
306.8 6
6.0%
301.9 6
6.0%
297.9 5
5.0%
295.6 4
 
4.0%
295.3 4
 
4.0%
276.1 6
6.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20210301
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210301
2nd row20210301
3rd row20210301
4th row20210301
5th row20210301

Common Values

ValueCountFrequency (%)
20210301 100
100.0%

Length

2023-12-10T20:18:11.082041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:11.253052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210301 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

2023-12-10T20:18:11.440784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:11.624600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.1781
Minimum0
Maximum131
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:11.812705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median91.44
Q399.79
95-th percentile121.7305
Maximum131
Range131
Interquartile range (IQR)17.79

Descriptive statistics

Standard deviation33.652047
Coefficient of variation (CV)0.40457821
Kurtosis2.0098559
Mean83.1781
Median Absolute Deviation (MAD)8.775
Skewness-1.6796394
Sum8317.81
Variance1132.4602
MonotonicityNot monotonic
2023-12-10T20:18:12.056603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
92.0 5
 
5.0%
88.0 3
 
3.0%
82.0 3
 
3.0%
97.0 2
 
2.0%
100.0 2
 
2.0%
82.67 2
 
2.0%
93.67 2
 
2.0%
82.71 2
 
2.0%
103.5 2
 
2.0%
Other values (60) 65
65.0%
ValueCountFrequency (%)
0.0 12
12.0%
33.23 1
 
1.0%
77.0 2
 
2.0%
79.0 1
 
1.0%
79.24 1
 
1.0%
79.57 1
 
1.0%
79.83 1
 
1.0%
80.0 1
 
1.0%
80.44 1
 
1.0%
80.71 1
 
1.0%
ValueCountFrequency (%)
131.0 1
1.0%
128.0 1
1.0%
124.0 1
1.0%
123.42 1
1.0%
122.5 1
1.0%
121.69 1
1.0%
118.67 1
1.0%
118.5 1
1.0%
114.89 1
1.0%
114.0 2
2.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.518041
Minimum35.681944
Maximum37.158778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:12.287742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.681944
5-th percentile35.681944
Q136.155722
median36.576944
Q336.868903
95-th percentile37.158778
Maximum37.158778
Range1.4768333
Interquartile range (IQR)0.71318056

Descriptive statistics

Standard deviation0.4310789
Coefficient of variation (CV)0.011804546
Kurtosis-0.83081279
Mean36.518041
Median Absolute Deviation (MAD)0.29195834
Skewness-0.42760371
Sum3651.8041
Variance0.18582902
MonotonicityIncreasing
2023-12-10T20:18:12.499486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36.86890278 10
 
10.0%
37.00888889 10
 
10.0%
36.78083333 9
 
9.0%
35.90473241 8
 
8.0%
37.15877778 8
 
8.0%
35.68194444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
Other values (5) 25
25.0%
ValueCountFrequency (%)
35.68194444 6
6.0%
35.88230609 6
6.0%
35.90473241 8
8.0%
36.15572222 6
6.0%
36.3475 6
6.0%
36.38961 6
6.0%
36.54 4
4.0%
36.55638889 4
4.0%
36.57694444 5
5.0%
36.60611111 6
6.0%
ValueCountFrequency (%)
37.15877778 8
8.0%
37.00888889 10
10.0%
36.86890278 10
10.0%
36.78083333 9
9.0%
36.64019722 6
6.0%
36.60611111 6
6.0%
36.57694444 5
5.0%
36.55638889 4
 
4.0%
36.54 4
 
4.0%
36.38961 6
6.0%

경도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.65286
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:12.740714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.08833
Q1127.17667
median127.42351
Q3128.21328
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)1.0366111

Descriptive statistics

Standard deviation0.65407424
Coefficient of variation (CV)0.0051238511
Kurtosis0.046962988
Mean127.65286
Median Absolute Deviation (MAD)0.2468413
Skewness1.23659
Sum12765.286
Variance0.42781312
MonotonicityNot monotonic
2023-12-10T20:18:12.930115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
127.1867222 10
 
10.0%
127.1491667 10
 
10.0%
127.1766667 9
 
9.0%
128.5614716 8
 
8.0%
127.0883333 8
 
8.0%
129.1811111 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
Other values (5) 25
25.0%
ValueCountFrequency (%)
127.0883333 8
8.0%
127.1491667 10
10.0%
127.1766667 9
9.0%
127.1867222 10
10.0%
127.3781278 6
6.0%
127.4083333 6
6.0%
127.423508 6
6.0%
127.4277778 5
5.0%
127.4325 4
 
4.0%
127.4338889 4
 
4.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
128.8488161 6
6.0%
128.5614716 8
8.0%
128.2132778 6
6.0%
127.4691667 6
6.0%
127.4338889 4
4.0%
127.4325 4
4.0%
127.4277778 5
5.0%
127.423508 6
6.0%
127.4083333 6
6.0%

기울기(°)
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08305152
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size1.0 KiB
2023-12-10T20:18:13.114087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-2.788625
Q1-1.252479
median0.017539
Q31.056036
95-th percentile2.703849
Maximum12.47809
Range25.72385
Interquartile range (IQR)2.308515

Descriptive statistics

Standard deviation3.3857855
Coefficient of variation (CV)-40.767291
Kurtosis10.404461
Mean-0.08305152
Median Absolute Deviation (MAD)1.038497
Skewness-0.23481834
Sum-8.305152
Variance11.463544
MonotonicityNot monotonic
2023-12-10T20:18:13.323037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.758683 5
 
5.0%
-0.660004 5
 
5.0%
-1.30142 5
 
5.0%
1.293015 5
 
5.0%
0.61369 5
 
5.0%
-0.624001 5
 
5.0%
1.544389 5
 
5.0%
0.166426 4
 
4.0%
-0.131348 4
 
4.0%
-1.359001 4
 
4.0%
Other values (17) 53
53.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.717451 3
3.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-1.252479 3
3.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
-0.660004 5
5.0%
ValueCountFrequency (%)
12.47809 3
3.0%
2.703849 3
3.0%
1.717451 3
3.0%
1.544389 5
5.0%
1.293015 5
5.0%
1.172023 3
3.0%
1.056036 4
4.0%
0.688696 3
3.0%
0.671977 3
3.0%
0.61369 5
5.0%

풍향
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북동
74 
 
6
남서
 
6
 
6

Length

Max length2
Median length2
Mean length1.8
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북동 74
74.0%
8
 
8.0%
6
 
6.0%
남서 6
 
6.0%
6
 
6.0%

Length

2023-12-10T20:18:13.516430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:13.696391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북동 74
74.0%
8
 
8.0%
6
 
6.0%
남서 6
 
6.0%
6
 
6.0%

풍속(m/s)
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1.4
37 
1.6
37 
1.1
14 
3.1
1.8

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.1
2nd row1.1
3rd row1.1
4th row1.1
5th row1.1

Common Values

ValueCountFrequency (%)
1.4 37
37.0%
1.6 37
37.0%
1.1 14
 
14.0%
3.1 6
 
6.0%
1.8 6
 
6.0%

Length

2023-12-10T20:18:13.882695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:18:14.056966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.4 37
37.0%
1.6 37
37.0%
1.1 14
 
14.0%
3.1 6
 
6.0%
1.8 6
 
6.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7811
Minimum0
Maximum118.26
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:14.302272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.585
median15.64
Q336.6775
95-th percentile87.6175
Maximum118.26
Range118.26
Interquartile range (IQR)31.0925

Descriptive statistics

Standard deviation28.412461
Coefficient of variation (CV)1.0609146
Kurtosis1.0751214
Mean26.7811
Median Absolute Deviation (MAD)14.375
Skewness1.3163643
Sum2678.11
Variance807.26795
MonotonicityNot monotonic
2023-12-10T20:18:14.562118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
9.07 2
 
2.0%
2.59 1
 
1.0%
75.06 1
 
1.0%
52.13 1
 
1.0%
32.76 1
 
1.0%
22.53 1
 
1.0%
5.42 1
 
1.0%
48.25 1
 
1.0%
35.32 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.32 1
 
1.0%
1.14 1
 
1.0%
1.23 1
 
1.0%
1.3 1
 
1.0%
1.49 1
 
1.0%
1.94 1
 
1.0%
2.09 1
 
1.0%
2.27 1
 
1.0%
2.59 1
 
1.0%
ValueCountFrequency (%)
118.26 1
1.0%
108.15 1
1.0%
97.93 1
1.0%
97.19 1
1.0%
96.5 1
1.0%
87.15 1
1.0%
83.68 1
1.0%
75.06 1
1.0%
74.0 1
1.0%
73.5 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13977079
Minimum0
Maximum0.58565156
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:14.796747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.023143721
median0.088504838
Q30.20024017
95-th percentile0.43390264
Maximum0.58565156
Range0.58565156
Interquartile range (IQR)0.17709645

Descriptive statistics

Standard deviation0.14307782
Coefficient of variation (CV)1.0236604
Kurtosis0.66460378
Mean0.13977079
Median Absolute Deviation (MAD)0.079815374
Skewness1.1805734
Sum13.977079
Variance0.020471263
MonotonicityNot monotonic
2023-12-10T20:18:15.075899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0186564278255025 1
 
1.0%
0.366465546572371 1
 
1.0%
0.258160120848888 1
 
1.0%
0.162235287915012 1
 
1.0%
0.111573902219939 1
 
1.0%
0.0268411251678682 1
 
1.0%
0.238945440839417 1
 
1.0%
0.174913014931569 1
 
1.0%
0.0663599773522942 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0015847158770697 1
 
1.0%
0.0029138324191281 1
 
1.0%
0.0033227913551461 1
 
1.0%
0.0054144459133215 1
 
1.0%
0.0084329523458352 1
 
1.0%
0.0089459767253935 1
 
1.0%
0.0092001560640991 1
 
1.0%
0.0139743127341602 1
 
1.0%
0.0151314806326656 1
 
1.0%
ValueCountFrequency (%)
0.585651561319575 1
1.0%
0.535584444078404 1
1.0%
0.48497258075449 1
1.0%
0.481307925288766 1
1.0%
0.477890881678835 1
1.0%
0.431587464645704 1
1.0%
0.414403201853729 1
1.0%
0.383388048259651 1
1.0%
0.371714917915164 1
1.0%
0.366465546572371 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020381537
Minimum0
Maximum0.085400382
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:15.383325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0033748439
median0.012905877
Q30.029199251
95-th percentile0.06327218
Maximum0.085400382
Range0.085400382
Interquartile range (IQR)0.025824407

Descriptive statistics

Standard deviation0.020863772
Coefficient of variation (CV)1.0236604
Kurtosis0.66460378
Mean0.020381537
Median Absolute Deviation (MAD)0.011638769
Skewness1.1805734
Sum2.0381537
Variance0.00043529697
MonotonicityNot monotonic
2023-12-10T20:18:15.638836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0027205016941293 1
 
1.0%
0.0534384261346845 1
 
1.0%
0.0376452047892041 1
 
1.0%
0.0236573356780036 1
 
1.0%
0.0162698343353303 1
 
1.0%
0.0039140036439187 1
 
1.0%
0.0348432981216017 1
 
1.0%
0.0255060163659062 1
 
1.0%
0.0096766879757401 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0002310850859878 1
 
1.0%
0.000424898383913 1
 
1.0%
0.0004845332448131 1
 
1.0%
0.0007895407104584 1
 
1.0%
0.0012297027790066 1
 
1.0%
0.0013045125821893 1
 
1.0%
0.0013415773047626 1
 
1.0%
0.0020377503037108 1
 
1.0%
0.0022064898533031 1
 
1.0%
ValueCountFrequency (%)
0.0854003820903755 1
1.0%
0.0780995376549477 1
1.0%
0.0707192577212115 1
1.0%
0.0701848734598647 1
1.0%
0.0696865962432034 1
1.0%
0.0629345788869967 1
1.0%
0.0604287499858162 1
1.0%
0.055906084731483 1
1.0%
0.0542038954820192 1
1.0%
0.0534384261346845 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0084630919
Minimum0
Maximum0.035461079
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:15.903947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0014013474
median0.0053589494
Q30.0121245
95-th percentile0.026272713
Maximum0.035461079
Range0.035461079
Interquartile range (IQR)0.010723153

Descriptive statistics

Standard deviation0.008663332
Coefficient of variation (CV)1.0236604
Kurtosis0.66460378
Mean0.0084630919
Median Absolute Deviation (MAD)0.0048328041
Skewness1.1805734
Sum0.84630919
Variance7.5053321 × 10-5
MonotonicityNot monotonic
2023-12-10T20:18:16.293430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0011296427841846 1
 
1.0%
0.0221894118321991 1
 
1.0%
0.0156315410650343 1
 
1.0%
0.0098233125894978 1
 
1.0%
0.0067557763321546 1
 
1.0%
0.0016252244882502 1
 
1.0%
0.0144680962284271 1
 
1.0%
0.0105909462961253 1
 
1.0%
0.0040180826831279 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
9.59542133284287e-05 1
 
1.0%
0.0001764319406361 1
 
1.0%
0.0002011943182692 1
 
1.0%
0.0003278435622054 1
 
1.0%
0.0005106134923548 1
 
1.0%
0.000541677010725 1
 
1.0%
0.0005570675162678 1
 
1.0%
0.0008461416993506 1
 
1.0%
0.0009162079724262 1
 
1.0%
ValueCountFrequency (%)
0.0354610789631874 1
1.0%
0.0324295255358424 1
1.0%
0.0293649878476657 1
1.0%
0.0291430937293437 1
1.0%
0.0289361924568543 1
1.0%
0.0261325302861643 1
1.0%
0.0250920267853841 1
1.0%
0.0232140657530991 1
1.0%
0.0225072601638496 1
1.0%
0.0221894118321991 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.4322
Minimum0
Maximum606.47
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:17.114858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.345
median20.22
Q354.445
95-th percentile129.1005
Maximum606.47
Range606.47
Interquartile range (IQR)50.1

Descriptive statistics

Standard deviation73.660403
Coefficient of variation (CV)1.7359553
Kurtosis34.888783
Mean42.4322
Median Absolute Deviation (MAD)19.11
Skewness5.0467218
Sum4243.22
Variance5425.855
MonotonicityNot monotonic
2023-12-10T20:18:17.472236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
5.6 2
 
2.0%
1.6 1
 
1.0%
115.12 1
 
1.0%
200.69 1
 
1.0%
128.48 1
 
1.0%
21.17 1
 
1.0%
6.42 1
 
1.0%
117.3 1
 
1.0%
30.42 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.2 1
 
1.0%
0.87 1
 
1.0%
0.88 1
 
1.0%
0.99 1
 
1.0%
1.02 1
 
1.0%
1.2 1
 
1.0%
1.4 1
 
1.0%
1.6 1
 
1.0%
1.79 1
 
1.0%
ValueCountFrequency (%)
606.47 1
1.0%
229.9 1
1.0%
203.95 1
1.0%
200.69 1
1.0%
140.89 1
1.0%
128.48 1
1.0%
125.24 1
1.0%
117.3 1
1.0%
115.12 1
1.0%
112.64 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22210255
Minimum0
Maximum3.432438
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:17.742948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.022950082
median0.10117774
Q30.2874526
95-th percentile0.64432001
Maximum3.432438
Range3.432438
Interquartile range (IQR)0.26450252

Descriptive statistics

Standard deviation0.40055556
Coefficient of variation (CV)1.8034713
Kurtosis41.925779
Mean0.22210255
Median Absolute Deviation (MAD)0.096655663
Skewness5.6108832
Sum22.210255
Variance0.16044476
MonotonicityNot monotonic
2023-12-10T20:18:18.002810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0115252063786888 1
 
1.0%
0.553214408210804 1
 
1.0%
0.993864466778501 1
 
1.0%
0.636263424643489 1
 
1.0%
0.104838859742393 1
 
1.0%
0.0317933622837111 1
 
1.0%
0.580897413688366 1
 
1.0%
0.150647053063939 1
 
1.0%
0.0863174929291408 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0009904474231685 1
 
1.0%
0.0022237142145978 1
 
1.0%
0.0025304334166113 1
 
1.0%
0.0044900283183641 1
 
1.0%
0.0049805356136476 1
 
1.0%
0.0078795594998744 1
 
1.0%
0.0086439047840166 1
 
1.0%
0.0100845555813527 1
 
1.0%
0.0103262131344542 1
 
1.0%
ValueCountFrequency (%)
3.43243799273738 1
1.0%
1.13851931293227 1
1.0%
1.01000875977615 1
1.0%
0.993864466778501 1
1.0%
0.797395071144113 1
1.0%
0.636263424643489 1
1.0%
0.620218176388158 1
1.0%
0.580897413688366 1
1.0%
0.570101536775829 1
1.0%
0.557819988728538 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.032387248
Minimum0
Maximum0.50052204
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:18.311469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0033466072
median0.014753854
Q30.041916668
95-th percentile0.093955482
Maximum0.50052204
Range0.50052204
Interquartile range (IQR)0.038570061

Descriptive statistics

Standard deviation0.058409471
Coefficient of variation (CV)1.8034713
Kurtosis41.925779
Mean0.032387248
Median Absolute Deviation (MAD)0.01409444
Skewness5.6108832
Sum3.2387248
Variance0.0034116663
MonotonicityNot monotonic
2023-12-10T20:18:18.605599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0016806188071841 1
 
1.0%
0.0806703592365622 1
 
1.0%
0.144926455959052 1
 
1.0%
0.0927806620241116 1
 
1.0%
0.015287722719882 1
 
1.0%
0.0046361445376307 1
 
1.0%
0.084707126832412 1
 
1.0%
0.0219675259867176 1
 
1.0%
0.0125869157773993 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0001444281787423 1
 
1.0%
0.0003242645561442 1
 
1.0%
0.0003689907018192 1
 
1.0%
0.0006547410769655 1
 
1.0%
0.0007262674131045 1
 
1.0%
0.0011490063997728 1
 
1.0%
0.0012604641053881 1
 
1.0%
0.0014705414562861 1
 
1.0%
0.0015057802377271 1
 
1.0%
ValueCountFrequency (%)
0.500522043210843 1
1.0%
0.166020191464378 1
1.0%
0.147280635272553 1
1.0%
0.144926455959052 1
1.0%
0.116277063445802 1
1.0%
0.0927806620241116 1
1.0%
0.0904409255284849 1
1.0%
0.084707126832412 1
1.0%
0.08313285968412 1
1.0%
0.0813419502677143 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013448263
Minimum0
Maximum0.2078334
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:18.882708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0013896226
median0.006126291
Q30.017405195
95-th percentile0.039013441
Maximum0.2078334
Range0.2078334
Interquartile range (IQR)0.016015572

Descriptive statistics

Standard deviation0.024253555
Coefficient of variation (CV)1.8034713
Kurtosis41.925779
Mean0.013448263
Median Absolute Deviation (MAD)0.0058524801
Skewness5.6108832
Sum1.3448263
Variance0.00058823494
MonotonicityNot monotonic
2023-12-10T20:18:19.210103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0006978488242067 1
 
1.0%
0.0334970161591212 1
 
1.0%
0.0601782846027574 1
 
1.0%
0.0385256166513641 1
 
1.0%
0.0063479709255088 1
 
1.0%
0.0019250814049016 1
 
1.0%
0.0351732163232021 1
 
1.0%
0.0091216474045337 1
 
1.0%
0.0052265060572328 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
5.99713833302679e-05 1
 
1.0%
0.0001346454283802 1
 
1.0%
0.000153217211605 1
 
1.0%
0.0002718702710972 1
 
1.0%
0.0003015703847464 1
 
1.0%
0.0004771056718274 1
 
1.0%
0.000523386618155 1
 
1.0%
0.0006106177211809 1
 
1.0%
0.0006252500352368 1
 
1.0%
ValueCountFrequency (%)
0.207833399133186 1
1.0%
0.068937105138143 1
1.0%
0.0611558181510407 1
1.0%
0.0601782846027574 1
1.0%
0.0482821039851511 1
1.0%
0.0385256166513641 1
1.0%
0.0375540802414138 1
1.0%
0.0351732163232021 1
1.0%
0.0345195282449022 1
1.0%
0.0337758830916069 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1032
Minimum0
Maximum28.24
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:19.468242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.425
median2.425
Q35.71
95-th percentile14.941
Maximum28.24
Range28.24
Interquartile range (IQR)5.285

Descriptive statistics

Standard deviation5.3425362
Coefficient of variation (CV)1.3020414
Kurtosis5.2211319
Mean4.1032
Median Absolute Deviation (MAD)2.27
Skewness2.1274103
Sum410.32
Variance28.542693
MonotonicityNot monotonic
2023-12-10T20:18:19.732305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.63 2
 
2.0%
0.41 2
 
2.0%
0.86 2
 
2.0%
0.8 2
 
2.0%
0.07 2
 
2.0%
1.13 2
 
2.0%
0.64 2
 
2.0%
0.48 1
 
1.0%
21.83 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.02 1
 
1.0%
0.07 2
 
2.0%
0.08 1
 
1.0%
0.11 1
 
1.0%
0.14 1
 
1.0%
0.15 1
 
1.0%
0.16 1
 
1.0%
0.18 1
 
1.0%
0.28 1
 
1.0%
ValueCountFrequency (%)
28.24 1
1.0%
21.83 1
1.0%
21.35 1
1.0%
17.77 1
1.0%
15.72 1
1.0%
14.9 1
1.0%
14.35 1
1.0%
12.47 1
1.0%
12.22 1
1.0%
10.93 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021419514
Minimum0
Maximum0.15982992
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:20.020402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0022898962
median0.01201625
Q30.030647273
95-th percentile0.073991375
Maximum0.15982992
Range0.15982992
Interquartile range (IQR)0.028357377

Descriptive statistics

Standard deviation0.027729605
Coefficient of variation (CV)1.2945954
Kurtosis6.6488146
Mean0.021419514
Median Absolute Deviation (MAD)0.01135713
Skewness2.2578199
Sum2.1419514
Variance0.00076893098
MonotonicityNot monotonic
2023-12-10T20:18:20.279021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.01386626392436 2
 
2.0%
0.0023204768199949 2
 
2.0%
0.0605163375555996 1
 
1.0%
0.0499185501276959 1
 
1.0%
0.012826294130033 1
 
1.0%
0.0023770738156045 1
 
1.0%
0.0455605814657542 1
 
1.0%
0.0150052784610038 1
 
1.0%
0.0060912516524867 1
 
1.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0.0 12
12.0%
9.90447423168569e-05 1
 
1.0%
0.0001789195345078 1
 
1.0%
0.0002044794680089 1
 
1.0%
0.0003081391983191 1
 
1.0%
0.0006225669517059 1
 
1.0%
0.0006602982821123 1
 
1.0%
0.0010084555581352 1
 
1.0%
0.0010990771405483 1
 
1.0%
0.0011525206378688 1
 
1.0%
ValueCountFrequency (%)
0.159829915601602 1
1.0%
0.108107336238849 1
1.0%
0.105730262423245 1
1.0%
0.0880012535485274 1
1.0%
0.0778491674610496 1
1.0%
0.0737883330260584 1
1.0%
0.0710646026123448 1
1.0%
0.0618605162013284 1
1.0%
0.0617543968345603 1
1.0%
0.0605163375555996 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0031234181
Minimum0
Maximum0.023306582
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:20.580117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00033391529
median0.0017522233
Q30.0044690205
95-th percentile0.010789507
Maximum0.023306582
Range0.023306582
Interquartile range (IQR)0.0041351052

Descriptive statistics

Standard deviation0.0040435628
Coefficient of variation (CV)1.2945954
Kurtosis6.6488146
Mean0.0031234181
Median Absolute Deviation (MAD)0.0016561098
Skewness2.2578199
Sum0.31234181
Variance1.63504 × 10-5
MonotonicityNot monotonic
2023-12-10T20:18:21.043361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0020219945023934 2
 
2.0%
0.0003383745901964 2
 
2.0%
0.00882456172116 1
 
1.0%
0.0072791802086164 1
 
1.0%
0.0018703449147139 1
 
1.0%
0.0003466276289817 1
 
1.0%
0.0066436962221499 1
 
1.0%
0.0021880869079472 1
 
1.0%
0.0008882332992657 1
 
1.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0.0 12
12.0%
1.4442817874239e-05 1
 
1.0%
2.60902516437867e-05 1
 
1.0%
2.98174304500419e-05 1
 
1.0%
4.49332111642993e-05 1
 
1.0%
9.0783426638074e-05 1
 
1.0%
9.6285452494927e-05 1
 
1.0%
0.0001470541456286 1
 
1.0%
0.0001602686886689 1
 
1.0%
0.0001680618807184 1
 
1.0%
ValueCountFrequency (%)
0.0233065815296292 1
1.0%
0.0157643357097319 1
1.0%
0.0154177080807502 1
1.0%
0.0128324436812614 1
1.0%
0.0113520548491519 1
1.0%
0.0107598993163081 1
1.0%
0.0103627218247665 1
1.0%
0.0090205713923104 1
1.0%
0.009005096944588 1
1.0%
0.00882456172116 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0012969471
Minimum0
Maximum0.0096776678
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:21.356485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00013865273
median0.00072758139
Q30.0018556859
95-th percentile0.0044801622
Maximum0.0096776678
Range0.0096776678
Interquartile range (IQR)0.0017170332

Descriptive statistics

Standard deviation0.0016790217
Coefficient of variation (CV)1.2945954
Kurtosis6.6488146
Mean0.0012969471
Median Absolute Deviation (MAD)0.00068767186
Skewness2.2578199
Sum0.12969471
Variance2.819114 × 10-6
MonotonicityNot monotonic
2023-12-10T20:18:21.645764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0008395993666237 2
 
2.0%
0.0001405043838023 2
 
2.0%
0.0036642515214793 1
 
1.0%
0.0030225577198455 1
 
1.0%
0.0007766294141269 1
 
1.0%
0.0001439313199926 1
 
1.0%
0.0027586836331923 1
 
1.0%
0.0009085664574535 1
 
1.0%
0.0003688240074811 1
 
1.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0.0 12
12.0%
5.99713833302679e-06 1
 
1.0%
1.08335402145e-05 1
 
1.0%
1.23811888165714e-05 1
 
1.0%
1.865776370275e-05 1
 
1.0%
3.76962980933113e-05 1
 
1.0%
3.99809222201786e-05 1
 
1.0%
6.1061772118091e-05 1
 
1.0%
6.65488898890715e-05 1
 
1.0%
6.97848824206754e-05 1
 
1.0%
ValueCountFrequency (%)
0.0096776678014101 1
1.0%
0.0065458764904987 1
1.0%
0.0064019451705061 1
1.0%
0.0053284574088943 1
1.0%
0.004713750729759 1
1.0%
0.0044678680581049 1
1.0%
0.0043029467539467 1
1.0%
0.003745641255999 1
1.0%
0.0037392157506422 1
1.0%
0.0036642515214793 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4835
Minimum0
Maximum36.14
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:21.935827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.72
Q32.8725
95-th percentile10.8
Maximum36.14
Range36.14
Interquartile range (IQR)2.8725

Descriptive statistics

Standard deviation4.6759996
Coefficient of variation (CV)1.8828265
Kurtosis27.043409
Mean2.4835
Median Absolute Deviation (MAD)0.72
Skewness4.3970372
Sum248.35
Variance21.864972
MonotonicityNot monotonic
2023-12-10T20:18:22.245472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
29.0%
0.12 4
 
4.0%
0.21 4
 
4.0%
0.1 2
 
2.0%
2.54 2
 
2.0%
0.71 2
 
2.0%
3.12 2
 
2.0%
0.88 1
 
1.0%
0.63 1
 
1.0%
6.57 1
 
1.0%
Other values (52) 52
52.0%
ValueCountFrequency (%)
0.0 29
29.0%
0.1 2
 
2.0%
0.12 4
 
4.0%
0.21 4
 
4.0%
0.23 1
 
1.0%
0.24 1
 
1.0%
0.33 1
 
1.0%
0.35 1
 
1.0%
0.56 1
 
1.0%
0.59 1
 
1.0%
ValueCountFrequency (%)
36.14 1
1.0%
13.73 1
1.0%
12.91 1
1.0%
12.8 1
1.0%
11.75 1
1.0%
10.75 1
1.0%
8.93 1
1.0%
8.83 1
1.0%
8.36 1
1.0%
7.86 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013066263
Minimum0
Maximum0.20454154
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:22.583572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0038167599
Q30.014984055
95-th percentile0.053744153
Maximum0.20454154
Range0.20454154
Interquartile range (IQR)0.014984055

Descriptive statistics

Standard deviation0.025505229
Coefficient of variation (CV)1.9519911
Kurtosis32.023248
Mean0.013066263
Median Absolute Deviation (MAD)0.0038167599
Skewness4.8163972
Sum1.3066263
Variance0.00065051672
MonotonicityNot monotonic
2023-12-10T20:18:22.979086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
29.0%
0.0009244175949573 2
 
2.0%
0.0008643904784016 2
 
2.0%
0.0040183866882839 2
 
2.0%
0.0006791639473155 2
 
2.0%
0.001039969794327 2
 
2.0%
0.0532365489953106 1
 
1.0%
0.0125786822742408 1
 
1.0%
0.0171842627919747 1
 
1.0%
0.0049027147446844 1
 
1.0%
Other values (57) 57
57.0%
ValueCountFrequency (%)
0.0 29
29.0%
0.0002555993350112 1
 
1.0%
0.0004401988547415 1
 
1.0%
0.0006791639473155 2
 
2.0%
0.0008643904784016 2
 
2.0%
0.0008945976725393 1
 
1.0%
0.0009244175949573 2
 
2.0%
0.001039969794327 2
 
2.0%
0.0016342382482281 1
 
1.0%
0.0016567484169365 1
 
1.0%
ValueCountFrequency (%)
0.204541542133212 1
1.0%
0.0679942156005223 1
1.0%
0.0665014698413182 1
1.0%
0.0639333811655312 1
1.0%
0.0633886350827884 1
1.0%
0.0532365489953106 1
1.0%
0.0505411170794019 1
1.0%
0.0499751471233055 1
1.0%
0.0473150883296528 1
1.0%
0.0389245837305248 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0019053375
Minimum0
Maximum0.029826482
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:23.243864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0005565643
Q30.002184992
95-th percentile0.007837034
Maximum0.029826482
Range0.029826482
Interquartile range (IQR)0.002184992

Descriptive statistics

Standard deviation0.0037192018
Coefficient of variation (CV)1.9519911
Kurtosis32.023248
Mean0.0019053375
Median Absolute Deviation (MAD)0.0005565643
Skewness4.8163972
Sum0.19053375
Variance1.3832462 × 10-5
MonotonicityNot monotonic
2023-12-10T20:18:23.528440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
29.0%
0.0001347996334928 2
 
2.0%
0.0001260464105388 2
 
2.0%
0.0005859657537548 2
 
2.0%
9.90364654233535e-05 2
 
2.0%
0.0001516495876795 2
 
2.0%
0.0077630146074034 1
 
1.0%
0.0018342378700283 1
 
1.0%
0.0025058289011804 1
 
1.0%
0.0007149194847748 1
 
1.0%
Other values (57) 57
57.0%
ValueCountFrequency (%)
0.0 29
29.0%
3.72717880625524e-05 1
 
1.0%
6.41903016632847e-05 1
 
1.0%
9.90364654233535e-05 2
 
2.0%
0.0001260464105388 2
 
2.0%
0.0001304512582189 1
 
1.0%
0.0001347996334928 2
 
2.0%
0.0001516495876795 2
 
2.0%
0.0002383064949249 1
 
1.0%
0.0002415889535327 1
 
1.0%
ValueCountFrequency (%)
0.02982648217 1
1.0%
0.0099149944706651 1
1.0%
0.0096973205727033 1
1.0%
0.0093228389378213 1
1.0%
0.0092434034395129 1
1.0%
0.0077630146074034 1
1.0%
0.0073699636352545 1
1.0%
0.0072874332474017 1
1.0%
0.0068995404244936 1
1.0%
0.0056760274245759 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007911595
Minimum0
Maximum0.012384947
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:23.777312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00023110401
Q30.00090728136
95-th percentile0.0032541972
Maximum0.012384947
Range0.012384947
Interquartile range (IQR)0.00090728136

Descriptive statistics

Standard deviation0.0015443363
Coefficient of variation (CV)1.9519911
Kurtosis32.023248
Mean0.0007911595
Median Absolute Deviation (MAD)0.00023110401
Skewness4.8163972
Sum0.07911595
Variance2.3849745 × 10-6
MonotonicityNot monotonic
2023-12-10T20:18:24.119478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 29
29.0%
5.59732911082501e-05 2
 
2.0%
5.23386618155066e-05 2
 
2.0%
0.0002433124695113 2
 
2.0%
4.11232342836123e-05 2
 
2.0%
6.29699524967813e-05 2
 
2.0%
0.0032234618540019 1
 
1.0%
0.0007616365682944 1
 
1.0%
0.0010405035007801 1
 
1.0%
0.0002968583474848 1
 
1.0%
Other values (57) 57
57.0%
ValueCountFrequency (%)
0.0 29
29.0%
1.54764860207143e-05 1
 
1.0%
2.66539481467858e-05 1
 
1.0%
4.11232342836123e-05 2
 
2.0%
5.23386618155066e-05 2
 
2.0%
5.41677010725001e-05 1
 
1.0%
5.59732911082501e-05 2
 
2.0%
6.29699524967813e-05 2
 
2.0%
9.89527824949421e-05 1
 
1.0%
0.0001003157684797 1
 
1.0%
ValueCountFrequency (%)
0.0123849473917479 1
1.0%
0.0041170354656228 1
1.0%
0.0040266500236037 1
1.0%
0.0038711527939688 1
1.0%
0.0038381685331371 1
1.0%
0.0032234618540019 1
1.0%
0.0030602540179388 1
1.0%
0.0030259846560358 1
1.0%
0.0028649186550916 1
1.0%
0.0023568753648795 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8901.6825
Minimum0
Maximum53508.82
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:24.921551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12058.2525
median5663.92
Q313354.795
95-th percentile28226.079
Maximum53508.82
Range53508.82
Interquartile range (IQR)11296.542

Descriptive statistics

Standard deviation9636.4234
Coefficient of variation (CV)1.0825396
Kurtosis4.0800121
Mean8901.6825
Median Absolute Deviation (MAD)4990.35
Skewness1.7437208
Sum890168.25
Variance92860656
MonotonicityNot monotonic
2023-12-10T20:18:25.204517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
3090.36 2
 
2.0%
882.96 1
 
1.0%
18882.11 1
 
1.0%
18434.32 1
 
1.0%
13528.75 1
 
1.0%
7514.68 1
 
1.0%
1959.5 1
 
1.0%
17316.21 1
 
1.0%
11189.24 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 12
12.0%
110.37 1
 
1.0%
471.76 1
 
1.0%
551.08 1
 
1.0%
629.81 1
 
1.0%
662.22 1
 
1.0%
684.92 1
 
1.0%
772.59 1
 
1.0%
829.8 1
 
1.0%
882.96 1
 
1.0%
ValueCountFrequency (%)
53508.82 1
1.0%
35912.07 1
1.0%
31323.65 1
1.0%
29956.34 1
1.0%
28263.31 1
1.0%
28224.12 1
1.0%
27517.84 1
1.0%
26703.1 1
1.0%
22920.52 1
1.0%
22048.83 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.569475
Minimum0
Maximum302.84385
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:25.455301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.8954399
median30.833187
Q366.947123
95-th percentile139.78224
Maximum302.84385
Range302.84385
Interquartile range (IQR)58.051683

Descriptive statistics

Standard deviation50.0698
Coefficient of variation (CV)1.0751635
Kurtosis6.0409894
Mean46.569475
Median Absolute Deviation (MAD)26.216332
Skewness1.9389718
Sum4656.9475
Variance2506.9849
MonotonicityNot monotonic
2023-12-10T20:18:25.710477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
6.36018514007942 1
 
1.0%
113.507849858418 1
 
1.0%
91.2911237093241 1
 
1.0%
66.9975778809589 1
 
1.0%
37.2144772096819 1
 
1.0%
9.70390862849406 1
 
1.0%
85.753977867729 1
 
1.0%
55.4117696260734 1
 
1.0%
23.9608050165517 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.546578410475575 1
 
1.0%
1.40855681537996 1
 
1.0%
1.60979017183431 1
 
1.0%
2.1209632819233 1
 
1.0%
2.67001986488002 1
 
1.0%
3.01500999589607 1
 
1.0%
4.46357236719421 1
 
1.0%
4.77013885505956 1
 
1.0%
5.56516199756949 1
 
1.0%
ValueCountFrequency (%)
302.843845061662 1
1.0%
177.845085960746 1
1.0%
155.122142133671 1
1.0%
148.350898802808 1
1.0%
139.966612798572 1
1.0%
139.772534626002 1
1.0%
136.274868595825 1
1.0%
132.240082928063 1
1.0%
113.507849858418 1
1.0%
109.191034286909 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7908142
Minimum0
Maximum44.161037
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:26.006595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2971433
median4.4961307
Q39.7623063
95-th percentile20.383206
Maximum44.161037
Range44.161037
Interquartile range (IQR)8.465163

Descriptive statistics

Standard deviation7.3012357
Coefficient of variation (CV)1.0751635
Kurtosis6.0409894
Mean6.7908142
Median Absolute Deviation (MAD)3.8228955
Skewness1.9389718
Sum679.08142
Variance53.308043
MonotonicityNot monotonic
2023-12-10T20:18:26.259538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.92744948874459 1
 
1.0%
16.5518447971427 1
 
1.0%
13.3121763197721 1
 
1.0%
9.76966361580558 1
 
1.0%
5.42665773115934 1
 
1.0%
1.41503508122857 1
 
1.0%
12.5047433651038 1
 
1.0%
8.08020777355753 1
 
1.0%
3.49399205731804 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0797026904389882 1
 
1.0%
0.205397369655114 1
 
1.0%
0.234741448396761 1
 
1.0%
0.30928129734306 1
 
1.0%
0.389345357734344 1
 
1.0%
0.439652214152169 1
 
1.0%
0.65088323983554 1
 
1.0%
0.695587116558442 1
 
1.0%
0.811518302651516 1
 
1.0%
ValueCountFrequency (%)
44.1610366814537 1
1.0%
25.9335743248462 1
1.0%
22.6200886053204 1
1.0%
21.6326981399391 1
1.0%
20.410091942658 1
1.0%
20.3817912410334 1
1.0%
19.8717575706225 1
1.0%
19.2834004988796 1
1.0%
16.5518447971427 1
1.0%
15.9223618015029 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8197719
Minimum0
Maximum18.337131
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:26.556629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.53861702
median1.866943
Q34.0536343
95-th percentile8.4637852
Maximum18.337131
Range18.337131
Interquartile range (IQR)3.5150172

Descriptive statistics

Standard deviation3.0317159
Coefficient of variation (CV)1.0751635
Kurtosis6.0409894
Mean2.8197719
Median Absolute Deviation (MAD)1.5873934
Skewness1.9389718
Sum281.97719
Variance9.1913012
MonotonicityNot monotonic
2023-12-10T20:18:26.822585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.385107873638497 1
 
1.0%
6.87287645524536 1
 
1.0%
5.52765835576412 1
 
1.0%
4.05668926114681 1
 
1.0%
2.25332877442149 1
 
1.0%
0.5875696281783 1
 
1.0%
5.19238533868709 1
 
1.0%
3.35517100607184 1
 
1.0%
1.45082170838751 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.0330952078908084 1
 
1.0%
0.0852878191629524 1
 
1.0%
0.0974724566070608 1
 
1.0%
0.128423880999887 1
 
1.0%
0.161669141713641 1
 
1.0%
0.182558221646965 1
 
1.0%
0.270268368813593 1
 
1.0%
0.288830905228873 1
 
1.0%
0.336969389433685 1
 
1.0%
ValueCountFrequency (%)
18.3371311758303 1
1.0%
10.7684825807671 1
1.0%
9.39261310726574 1
1.0%
8.98261574655919 1
1.0%
8.47494899096098 1
1.0%
8.46319759839741 1
1.0%
8.2514146553049 1
1.0%
8.00710923103239 1
1.0%
6.87287645524536 1
1.0%
6.61149417956956 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4459
Minimum0
Maximum24.57
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:27.149438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.29
median1.25
Q33.175
95-th percentile9.121
Maximum24.57
Range24.57
Interquartile range (IQR)2.885

Descriptive statistics

Standard deviation3.5613081
Coefficient of variation (CV)1.4560318
Kurtosis15.262944
Mean2.4459
Median Absolute Deviation (MAD)1.185
Skewness3.2819943
Sum244.59
Variance12.682915
MonotonicityNot monotonic
2023-12-10T20:18:27.394841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
2.93 2
 
2.0%
0.29 2
 
2.0%
0.89 2
 
2.0%
0.45 2
 
2.0%
1.29 2
 
2.0%
1.54 2
 
2.0%
0.49 2
 
2.0%
0.25 2
 
2.0%
3.96 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.01 1
 
1.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
0.11 1
 
1.0%
0.22 1
 
1.0%
ValueCountFrequency (%)
24.57 1
1.0%
13.14 1
1.0%
11.69 1
1.0%
10.98 1
1.0%
10.28 1
1.0%
9.06 1
1.0%
9.0 1
1.0%
6.66 1
1.0%
6.19 1
1.0%
6.09 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012883773
Minimum0
Maximum0.13905882
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:27.634704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0016271636
median0.0065678241
Q30.016733255
95-th percentile0.051431812
Maximum0.13905882
Range0.13905882
Interquartile range (IQR)0.015106092

Descriptive statistics

Standard deviation0.019377172
Coefficient of variation (CV)1.5039982
Kurtosis18.511836
Mean0.012883773
Median Absolute Deviation (MAD)0.0063396104
Skewness3.6221117
Sum1.2883773
Variance0.0003754748
MonotonicityNot monotonic
2023-12-10T20:18:27.893781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
0.0005042277790676 1
 
1.0%
0.0280791844468289 1
 
1.0%
0.0445701340425856 1
 
1.0%
0.0301591240354829 1
 
1.0%
0.0067350424775462 1
 
1.0%
0.0018818501040202 1
 
1.0%
0.0196108589787377 1
 
1.0%
0.0076264451583979 1
 
1.0%
0.0050512818581597 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
4.95223711584285e-05 1
 
1.0%
0.0002044794680089 1
 
1.0%
0.0002263879824385 1
 
1.0%
0.0002300394015101 1
 
1.0%
0.000360162699334 1
 
1.0%
0.0004321952392008 1
 
1.0%
0.0004842187402157 1
 
1.0%
0.0005042277790676 1
 
1.0%
0.0007156781380314 1
 
1.0%
ValueCountFrequency (%)
0.139058818212867 1
1.0%
0.0743684522310572 1
1.0%
0.0581817114867022 1
1.0%
0.0578916518842029 1
1.0%
0.0543755635319545 1
1.0%
0.0512768780223271 1
1.0%
0.0445701340425856 1
1.0%
0.0350335402823625 1
1.0%
0.0329818991915134 1
1.0%
0.0301591240354829 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0018787266
Minimum0
Maximum0.020277716
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:28.196086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00023727487
median0.00095772764
Q30.0024400625
95-th percentile0.0074998458
Maximum0.020277716
Range0.020277716
Interquartile range (IQR)0.0022027876

Descriptive statistics

Standard deviation0.0028256014
Coefficient of variation (CV)1.5039982
Kurtosis18.511836
Mean0.0018787266
Median Absolute Deviation (MAD)0.00092444926
Skewness3.6221117
Sum0.18787266
Variance7.9840235 × 10-6
MonotonicityNot monotonic
2023-12-10T20:18:28.445096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
7.35270728143079e-05 1
 
1.0%
0.0040945388673467 1
 
1.0%
0.0064992680434075 1
 
1.0%
0.0043978380427057 1
 
1.0%
0.0009821116154482 1
 
1.0%
0.0002744135396105 1
 
1.0%
0.0028596779390993 1
 
1.0%
0.0011120969763164 1
 
1.0%
0.0007365837115861 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
7.22140893711952e-06 1
 
1.0%
2.98174304500419e-05 1
 
1.0%
3.30121551411178e-05 1
 
1.0%
3.35446092562971e-05 1
 
1.0%
5.25193377245056e-05 1
 
1.0%
6.30232052694067e-05 1
 
1.0%
7.06093318296131e-05 1
 
1.0%
7.35270728143079e-05 1
 
1.0%
0.0001043610065751 1
 
1.0%
ValueCountFrequency (%)
0.0202777162954316 1
1.0%
0.0108444929638572 1
1.0%
0.0084841238712672 1
1.0%
0.0084418270474927 1
1.0%
0.0079291070129572 1
1.0%
0.0074772531394631 1
1.0%
0.0064992680434075 1
1.0%
0.0051086310080879 1
1.0%
0.0048094583521216 1
1.0%
0.0043978380427057 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00078010977
Minimum0
Maximum0.0084199822
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:28.701672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.8524415 × 10-5
median0.00039768037
Q30.0010131951
95-th percentile0.0031141854
Maximum0.0084199822
Range0.0084199822
Interquartile range (IQR)0.00091467069

Descriptive statistics

Standard deviation0.0011732837
Coefficient of variation (CV)1.5039982
Kurtosis18.511836
Mean0.00078010977
Median Absolute Deviation (MAD)0.00038386208
Skewness3.6221117
Sum0.078010977
Variance1.3765946 × 10-6
MonotonicityNot monotonic
2023-12-10T20:18:28.973628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
3.05308860590455e-05 1
 
1.0%
0.0017001887174131 1
 
1.0%
0.002698712249862 1
 
1.0%
0.0018261286224066 1
 
1.0%
0.0004078054066458 1
 
1.0%
0.0001139456283275 1
 
1.0%
0.0011874333899393 1
 
1.0%
0.000461779651643 1
 
1.0%
0.0003058540549843 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 12
12.0%
2.9985691665134e-06 1
 
1.0%
1.23811888165714e-05 1
 
1.0%
1.37077447612041e-05 1
 
1.0%
1.39288374186429e-05 1
 
1.0%
2.18077757564611e-05 1
 
1.0%
2.61693309077533e-05 1
 
1.0%
2.93193429614643e-05 1
 
1.0%
3.05308860590455e-05 1
 
1.0%
4.33341608580001e-05 1
 
1.0%
ValueCountFrequency (%)
0.0084199822195696 1
1.0%
0.0045029941540555 1
1.0%
0.0035228904036294 1
1.0%
0.0035053273556541 1
1.0%
0.0032924289448317 1
1.0%
0.0031048041884127 1
1.0%
0.002698712249862 1
1.0%
0.0021212735017963 1
1.0%
0.0019970470648979 1
1.0%
0.0018261286224066 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0758
Minimum0
Maximum10.81
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:29.233301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.13
median0.55
Q31.3925
95-th percentile4.0165
Maximum10.81
Range10.81
Interquartile range (IQR)1.2625

Descriptive statistics

Standard deviation1.5666694
Coefficient of variation (CV)1.4562831
Kurtosis15.271694
Mean1.0758
Median Absolute Deviation (MAD)0.52
Skewness3.2829356
Sum107.58
Variance2.4544529
MonotonicityNot monotonic
2023-12-10T20:18:29.490057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.03 3
 
3.0%
0.13 3
 
3.0%
0.6 2
 
2.0%
0.57 2
 
2.0%
1.29 2
 
2.0%
0.2 2
 
2.0%
0.68 2
 
2.0%
0.11 2
 
2.0%
0.02 2
 
2.0%
Other values (62) 67
67.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.02 2
 
2.0%
0.03 3
 
3.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.1 1
 
1.0%
0.11 2
 
2.0%
0.12 1
 
1.0%
0.13 3
 
3.0%
0.14 1
 
1.0%
ValueCountFrequency (%)
10.81 1
1.0%
5.78 1
1.0%
5.14 1
1.0%
4.83 1
1.0%
4.52 1
1.0%
3.99 1
1.0%
3.96 1
1.0%
2.93 1
1.0%
2.72 1
1.0%
2.68 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0056666915
Minimum0
Maximum0.061181352
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:29.758466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00070746245
median0.0028838742
Q30.00736999
95-th percentile0.022649056
Maximum0.061181352
Range0.061181352
Interquartile range (IQR)0.0066625276

Descriptive statistics

Standard deviation0.0085242027
Coefficient of variation (CV)1.5042645
Kurtosis18.523713
Mean0.0056666915
Median Absolute Deviation (MAD)0.0027761573
Skewness3.6234266
Sum0.56666915
Variance7.2662031 × 10-5
MonotonicityNot monotonic
2023-12-10T20:18:30.064689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0002160976196004 2
 
2.0%
0.0123310704184487 2
 
2.0%
0.0007923579385348 2
 
2.0%
0.0132719954704588 1
 
1.0%
0.0029713422695057 1
 
1.0%
0.0008418803096932 1
 
1.0%
0.0086168925815665 1
 
1.0%
0.0033675212387731 1
 
1.0%
0.0022285067021292 1
 
1.0%
Other values (75) 75
75.0%
ValueCountFrequency (%)
0.0 13
13.0%
7.66798005033731e-05 1
 
1.0%
0.0001022397340044 1
 
1.0%
0.0001131939912192 1
 
1.0%
0.0001440650797336 1
 
1.0%
0.0002160976196004 2
 
2.0%
0.0002200994273707 1
 
1.0%
0.0003067192020134 1
 
1.0%
0.0004345188695191 1
 
1.0%
0.0004952237115842 1
 
1.0%
ValueCountFrequency (%)
0.0611813522540128 1
1.0%
0.0327130634623676 1
1.0%
0.0255818420155539 1
1.0%
0.0254544987754322 1
1.0%
0.0239193052695209 1
1.0%
0.0225822012482434 1
1.0%
0.0196108589787377 1
1.0%
0.0153943828058201 1
1.0%
0.0145100547494195 1
1.0%
0.0132719954704588 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00082632345
Minimum0
Maximum0.0089215349
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:30.359309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00010316298
median0.00042052984
Q30.0010747004
95-th percentile0.0033027114
Maximum0.0089215349
Range0.0089215349
Interquartile range (IQR)0.00097153741

Descriptive statistics

Standard deviation0.001243009
Coefficient of variation (CV)1.5042645
Kurtosis18.523713
Mean0.00082632345
Median Absolute Deviation (MAD)0.00040482244
Skewness3.6234266
Sum0.082632345
Variance1.5450714 × 10-6
MonotonicityNot monotonic
2023-12-10T20:18:30.649014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
3.15116026347034e-05 2
 
2.0%
0.0017981308253427 2
 
2.0%
0.0001155425429939 2
 
2.0%
0.001935337595148 1
 
1.0%
0.0004332845362271 1
 
1.0%
0.000122763951931 1
 
1.0%
0.0012565251550588 1
 
1.0%
0.0004910558077241 1
 
1.0%
0.0003249634021703 1
 
1.0%
Other values (75) 75
75.0%
ValueCountFrequency (%)
0.0 13
13.0%
1.11815364187657e-05 1
 
1.0%
1.4908715225021e-05 1
 
1.0%
1.65060775705589e-05 1
 
1.0%
2.10077350898023e-05 1
 
1.0%
3.15116026347034e-05 2
 
2.0%
3.20951508316423e-05 1
 
1.0%
4.47261456750629e-05 1
 
1.0%
6.33620397063391e-05 1
 
1.0%
7.22140893711952e-05 1
 
1.0%
ValueCountFrequency (%)
0.008921534926887 1
1.0%
0.0047702564178915 1
1.0%
0.0037303735309463 1
1.0%
0.0037118041936794 1
1.0%
0.0034879405166287 1
1.0%
0.0032929624753265 1
1.0%
0.0028596779390993 1
1.0%
0.002244826549596 1
1.0%
0.002115872818576 1
1.0%
0.001935337595148 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00034311698
Minimum0
Maximum0.003704518
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:18:30.911089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.2836702 × 10-5
median0.00017461798
Q30.00044625135
95-th percentile0.0013713956
Maximum0.003704518
Range0.003704518
Interquartile range (IQR)0.00040341464

Descriptive statistics

Standard deviation0.00051613868
Coefficient of variation (CV)1.5042645
Kurtosis18.523713
Mean0.00034311698
Median Absolute Deviation (MAD)0.00016809574
Skewness3.6234266
Sum0.034311698
Variance2.6639914 × 10-7
MonotonicityNot monotonic
2023-12-10T20:18:31.231930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1.30846654538766e-05 2
 
2.0%
0.0007466437224618 2
 
2.0%
0.0011874333899393 1
 
1.0%
0.0001799141499908 1
 
1.0%
5.09756758307278e-05 1
 
1.0%
0.0005217510349733 1
 
1.0%
0.0002039027033229 1
 
1.0%
0.0001349356124931 1
 
1.0%
0.0006596852166329 1
 
1.0%
Other values (76) 76
76.0%
ValueCountFrequency (%)
0.0 13
13.0%
4.64294580621429e-06 1
 
1.0%
6.19059440828572e-06 1
 
1.0%
6.85387238060205e-06 1
 
1.0%
8.72311030258443e-06 1
 
1.0%
1.30846654538766e-05 2
 
2.0%
1.33269740733929e-05 1
 
1.0%
1.85717832248572e-05 1
 
1.0%
2.63100262352143e-05 1
 
1.0%
2.9985691665134e-05 1
 
1.0%
ValueCountFrequency (%)
0.0037045180217154 1
1.0%
0.0019807691179939 1
1.0%
0.001548975158016 1
1.0%
0.0015412645515878 1
1.0%
0.0014483089074259 1
1.0%
0.0013673475399301 1
1.0%
0.0011874333899393 1
1.0%
0.0009321266437618 1
1.0%
0.0008785807657884 1
1.0%
0.0008036165366255 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-활천IC53.420210301097.035.681944129.1811110.225451.12.590.0186560.0027210.001131.60.0115250.0016810.0006980.180.0012970.0001890.0000790.00.00.00.0882.966.3601850.9274490.3851080.070.0005040.0000740.0000310.030.0002160.0000320.000013
12도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420210301090.535.681944129.1811110.225451.111.630.0837740.0122160.0050727.410.0533760.0077830.0032320.860.0061950.0009030.0003750.120.0008640.0001260.0000523948.9528.445294.1479251.7223560.450.0032410.0004730.0001960.20.0014410.000210.000087
23도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420210301079.8335.681944129.1811110.225451.112.230.0880960.0128460.00533424.540.1767680.0257760.0107033.220.0231940.0033820.0014041.640.0118130.0017230.0007152535.8318.2662282.6636021.1060161.170.0084280.0012290.000510.510.0036740.0005360.000222
34도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202103010114.035.681944129.1811110.191581.15.640.0406260.0059240.002463.930.0283090.0041280.0017140.360.0025930.0003780.0001570.00.00.00.02352.7416.9473842.4712871.0261610.290.0020890.0003050.0001260.130.0009360.0001370.000057
45도로공사A-0010-0538E-6울산 울주군 두서면 활천리S2활천IC-언양JC53.4202103010101.6735.681944129.1811110.191581.115.730.1133070.0165230.00686110.640.0766430.0111760.0046411.150.0082840.0012080.0005020.230.0016570.0002420.00015761.0541.4983066.0513312.5127140.890.0064110.0009350.0003880.390.0028090.000410.00017
56도로공사A-0010-0538E-6울산 울주군 두서면 활천리S3활천IC-언양JC53.420210301077.035.681944129.1811110.191581.112.580.0906170.0132140.00548727.460.1978010.0288440.0119774.010.0288850.0042120.0017491.50.0108050.0015760.0006542195.6915.8161132.3063240.9576620.960.0069150.0010080.0004190.420.0030250.0004410.000183
67도로공사A-0010-1073E-6경북 경산시 진량읍E1영천IC-경산IC107.31202103010124.035.882306128.8488160.409237남서3.11.30.0033230.0004850.0002010.990.002530.0003690.0001530.080.0002040.000030.0000120.00.00.00.0629.811.609790.2347410.0974720.090.000230.0000340.0000140.040.0001020.0000150.000006
78도로공사A-0010-1073E-6경북 경산시 진량읍E2영천IC-경산IC107.3120210301099.7235.882306128.8488160.409237남서3.19.270.0236940.0034550.0014357.750.0198090.0028890.0011990.860.0021980.0003210.0001330.850.0021730.0003170.0001323401.458.6940841.2677810.5264251.180.0030160.000440.0001830.520.0013290.0001940.00008
89도로공사A-0010-1073E-6경북 경산시 진량읍E3영천IC-경산IC107.3120210301082.1135.882306128.8488160.409237남서3.13.50.0089460.0013050.0005425.630.014390.0020980.0008710.80.0020450.0002980.0001240.350.0008950.000130.000054829.82.1209630.3092810.1284240.280.0007160.0001040.0000430.120.0003070.0000450.000019
910도로공사A-0010-1073E-6경북 경산시 진량읍S1경산IC-영천IC107.31202103010123.4235.882306128.848816-0.411936남서3.11.140.0029140.0004250.0001760.870.0022240.0003240.0001350.070.0001790.0000260.0000110.00.00.00.0551.081.4085570.2053970.0852880.080.0002040.000030.0000120.030.0000770.0000110.000005
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-0010-3613E-10경기 안성시 원곡면S4안성JC-안성IC361.320210301082.6737.008889127.149167-1.30142북동1.631.860.1577780.0230070.00955343.980.2177990.031760.0131884.150.0205520.0029970.0012442.370.0117370.0017110.00071111051.0954.7276187.9804443.3137462.250.0111430.0016250.0006750.990.0049030.0007150.000297
9192도로공사A-0010-3613E-10경기 안성시 원곡면S5안성JC-안성IC361.320210301088.037.008889127.149167-1.30142북동1.622.440.1111280.0162050.00672925.950.1285110.018740.0077812.890.0143120.0020870.0008673.120.0154510.0022530.0009367606.8937.6711235.4932462.2809793.470.0171840.0025060.0010411.530.0075770.0011050.000459
9293도로공사A-0010-3801E-10경기 화성시 동탄면 송리E1오산IC-동탄JC380.120210301092.6737.158778127.088333-0.660004북동1.696.50.4778910.0696870.02893696.040.4756130.0693540.02879812.470.0617540.0090050.0037392.530.0125290.0018270.00075928224.12139.77253520.3817918.4631984.130.0204530.0029820.0012381.820.0090130.0013140.000546
9394도로공사A-0010-3801E-10경기 화성시 동탄면 송리E2오산IC-동탄JC380.120210301093.6737.158778127.088333-0.660004북동1.687.150.4315870.0629350.02613363.680.3153580.0459860.0190957.00.0346660.0050550.0020990.970.0048040.00070.00029127517.84136.27486919.8717588.2514152.80.0138660.0020220.000841.230.0060910.0008880.000369
9495도로공사A-0010-3801E-10경기 화성시 동탄면 송리E3오산IC-동탄JC380.120210301087.637.158778127.088333-0.660004북동1.697.190.4813080.0701850.02914373.450.3637420.0530410.0220249.140.0452630.00660.0027412.540.0125790.0018340.00076228263.31139.96661320.4100928.4749493.60.0178280.00260.0010791.580.0078250.0011410.000474
9596도로공사A-0010-3801E-10경기 화성시 동탄면 송리E4오산IC-동탄JC380.120210301081.5737.158778127.088333-0.660004북동1.6108.150.5355840.07810.03243125.240.6202180.0904410.03755415.720.0778490.0113520.00471410.750.0532370.0077630.00322329956.34148.35089921.6326988.98261611.690.0578920.0084420.0035055.140.0254540.0037120.001541
9697도로공사A-0010-3801E-10경기 화성시 동탄면 송리E5오산IC-동탄JC380.120210301084.437.158778127.088333-0.660004북동1.634.420.1704560.0248560.01032126.780.1326210.0193390.008033.40.0168380.0024550.001020.930.0046060.0006720.0002799877.7248.9168127.1331062.9619031.210.0059920.0008740.0003630.530.0026250.0003830.000159
9798도로공사A-0010-3801E-10경기 화성시 동탄면 송리S1동탄JC-오산IC380.1202103010105.3337.158778127.0883330.671977북동1.624.930.1234590.0180030.00747519.270.095430.0139160.0057781.860.0092110.0013430.0005580.330.0016340.0002380.0000999074.0844.9369966.5527642.7209261.290.0063880.0009320.0003870.570.0028230.0004120.000171
9899도로공사A-0010-3801E-10경기 화성시 동탄면 송리S2동탄JC-오산IC380.120210301097.037.158778127.0883330.671977북동1.662.030.3071870.0447940.018660.740.3007990.0438630.0182135.740.0284260.0041450.0017214.440.0219880.0032060.00133121720.84107.5667515.6855076.5131446.040.0299120.0043620.0018112.660.0131730.0019210.000798
99100도로공사A-0010-3801E-10경기 화성시 동탄면 송리S3동탄JC-오산IC380.120210301087.237.158778127.0883330.671977북동1.659.010.2922320.0426140.01769553.050.2627160.038310.0159076.580.0325860.0047520.0019733.470.0171840.0025060.00104118042.7589.35197613.0294085.4102434.620.0228790.0033360.0013852.030.0100530.0014660.000609