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
풍향 is highly imbalanced (59.8%)Imbalance
기본키 has unique valuesUnique
평균 속도(km/hr) has 6 (6.0%) zerosZeros
CO(g/km) has 6 (6.0%) zerosZeros
CO_100M(g/km) has 6 (6.0%) zerosZeros
CO_300M(g/km) has 6 (6.0%) zerosZeros
CO_500M(g/km) has 6 (6.0%) zerosZeros
NOX(g/km) has 6 (6.0%) zerosZeros
NOX_100M(g/km) has 6 (6.0%) zerosZeros
NOX_300M(g/km) has 6 (6.0%) zerosZeros
NOX_500M(g/km) has 6 (6.0%) zerosZeros
HC(g/km) has 6 (6.0%) zerosZeros
HC_100M(g/km) has 6 (6.0%) zerosZeros
HC_300M(g/km) has 6 (6.0%) zerosZeros
HC_500M(g/km) has 6 (6.0%) zerosZeros
PM(g/km) has 6 (6.0%) zerosZeros
PM_100M(g/km) has 6 (6.0%) zerosZeros
PM_300M(g/km) has 6 (6.0%) zerosZeros
PM_500M(g/km) has 6 (6.0%) zerosZeros
CO2(g/km) has 6 (6.0%) zerosZeros
CO2_100M(g/km) has 6 (6.0%) zerosZeros
CO2_300M(g/km) has 6 (6.0%) zerosZeros
CO2_500M(g/km) has 6 (6.0%) zerosZeros
TSP(g/km) has 6 (6.0%) zerosZeros
TSP_100M(g/km) has 6 (6.0%) zerosZeros
TSP_300M(g/km) has 6 (6.0%) zerosZeros
TSP_500M(g/km) has 6 (6.0%) zerosZeros
PM10(g/km) has 6 (6.0%) zerosZeros
PM10_100M(g/km) has 6 (6.0%) zerosZeros
PM10_300M(g/km) has 6 (6.0%) zerosZeros
PM10_500M(g/km) has 6 (6.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:02:43.879754
Analysis finished2023-12-10 11:02:44.529060
Duration0.65 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
2023-12-10T20:02:44.685233image/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
2023-12-10T20:02:44.927634image/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

2023-12-10T20:02:45.138126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:45.312833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3352E-9
9 
A-0010-1185E-8
8 
A-0010-0083E-6
6 
Other values (11)
57 

Length

Max length15
Median length14
Mean length14.22
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0010-0083E-6
2nd rowA-0010-0083E-6
3rd rowA-0010-0083E-6
4th rowA-0010-0083E-6
5th rowA-0010-0083E-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-0010-0083E-6 6
 
6.0%
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 (6) 27
27.0%

Length

2023-12-10T20:02:45.486996image/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-0010-0083e-6 6
 
6.0%
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 (6) 27
27.0%

주소
Categorical

Distinct14
Distinct (%)14.0%
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
9 
대구 동구 안심3동
8 
Other values (9)
50 

Length

Max length18
Median length10
Mean length11.58
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 양산시 동면
2nd row경남 양산시 동면
3rd row경남 양산시 동면
4th row경남 양산시 동면
5th row경남 양산시 동면

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%
경남 양산시 동면 6
 
6.0%
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 (4) 20
20.0%

Length

2023-12-10T20:02:45.728451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 25
 
7.4%
청원군 19
 
5.6%
천안시 19
 
5.6%
남이면 13
 
3.8%
경기 12
 
3.5%
대전 12
 
3.5%
대덕구 12
 
3.5%
경북 12
 
3.5%
충남 10
 
2.9%
서북구 10
 
2.9%
Other values (30) 196
57.6%

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

2023-12-10T20:02:45.952307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:46.234222image/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
28 
2
28 
3
27 
4
11 
5
6 

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 28
28.0%
2 28
28.0%
3 27
27.0%
4 11
 
11.0%
5 6
 
6.0%

Length

2023-12-10T20:02:46.402982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:46.592163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
28.0%
2 28
28.0%
3 27
27.0%
4 11
 
11.0%
5 6
 
6.0%

측정구간
Categorical

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
안성JC-안성IC
 
5
북천안IC-천안IC
 
5
천안IC-북천안IC
 
5
천안IC-천안JC
 
5
청주JC-남이JC
 
5
Other values (23)
75 

Length

Max length10
Median length9
Mean length9.32
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노포JC-양산JC
2nd row노포JC-양산JC
3rd row노포JC-양산JC
4th row양산JC-노포JC
5th row양산JC-노포JC

Common Values

ValueCountFrequency (%)
안성JC-안성IC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
안성IC-안성JC 5
 
5.0%
경산IC-동대구JC 4
 
4.0%
천안JC-천안IC 4
 
4.0%
동대구JC-경산IC 4
 
4.0%
남청주IC-청주JC 4
 
4.0%
Other values (18) 54
54.0%

Length

2023-12-10T20:02:46.792501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성jc-안성ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
청주jc-남이jc 5
 
5.0%
안성ic-안성jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
동대구jc-경산ic 4
 
4.0%
청주jc-남청주ic 4
 
4.0%
남청주ic-청주jc 4
 
4.0%
천안jc-천안ic 4
 
4.0%
Other values (18) 54
54.0%

장비이정(km)
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean247.1108
Minimum8.3
Maximum380.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:46.981333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1118.5
median295.6
Q3335.2
95-th percentile361.3
Maximum380.1
Range371.8
Interquartile range (IQR)216.7

Descriptive statistics

Standard deviation112.30883
Coefficient of variation (CV)0.45448775
Kurtosis-0.62931136
Mean247.1108
Median Absolute Deviation (MAD)49.6
Skewness-0.87867397
Sum24711.08
Variance12613.274
MonotonicityIncreasing
2023-12-10T20:02:47.220387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
345.2 10
 
10.0%
361.3 10
 
10.0%
335.2 9
 
9.0%
118.5 8
 
8.0%
8.3 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
53.4 6
 
6.0%
Other values (6) 27
27.0%
ValueCountFrequency (%)
8.3 6
6.0%
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%
ValueCountFrequency (%)
380.1 2
 
2.0%
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

2023-12-10T20:02:47.446082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:47.609725image/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

2023-12-10T20:02:47.867955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:48.035563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.5822
Minimum0
Maximum116.88
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:48.238611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178.025
median86.055
Q396.385
95-th percentile109.0445
Maximum116.88
Range116.88
Interquartile range (IQR)18.36

Descriptive statistics

Standard deviation24.559768
Coefficient of variation (CV)0.29739784
Kurtosis5.4522903
Mean82.5822
Median Absolute Deviation (MAD)9.68
Skewness-2.1718689
Sum8258.22
Variance603.18221
MonotonicityNot monotonic
2023-12-10T20:02:48.492717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
74.27 1
 
1.0%
70.81 1
 
1.0%
77.22 1
 
1.0%
93.16 1
 
1.0%
78.01 1
 
1.0%
80.57 1
 
1.0%
85.64 1
 
1.0%
103.86 1
 
1.0%
105.0 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
55.09 1
 
1.0%
55.65 1
 
1.0%
57.48 1
 
1.0%
64.77 1
 
1.0%
67.15 1
 
1.0%
68.09 1
 
1.0%
68.77 1
 
1.0%
68.78 1
 
1.0%
70.81 1
 
1.0%
ValueCountFrequency (%)
116.88 1
1.0%
116.23 1
1.0%
116.02 1
1.0%
113.16 1
1.0%
109.7 1
1.0%
109.01 1
1.0%
107.45 1
1.0%
107.01 1
1.0%
105.66 1
1.0%
105.54 1
1.0%

위도(°)
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.406931
Minimum35.306944
Maximum37.158778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:48.718956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306944
5-th percentile35.306944
Q135.904732
median36.556389
Q336.780833
95-th percentile37.008889
Maximum37.158778
Range1.8518333
Interquartile range (IQR)0.87610092

Descriptive statistics

Standard deviation0.48720811
Coefficient of variation (CV)0.01338229
Kurtosis-0.41751351
Mean36.406931
Median Absolute Deviation (MAD)0.31251389
Skewness-0.67641322
Sum3640.6931
Variance0.23737174
MonotonicityIncreasing
2023-12-10T20:02:48.942365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
36.86890278 10
 
10.0%
37.00888889 10
 
10.0%
36.78083333 9
 
9.0%
35.90473241 8
 
8.0%
35.30694444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
35.68194444 6
 
6.0%
Other values (6) 27
27.0%
ValueCountFrequency (%)
35.30694444 6
6.0%
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%
ValueCountFrequency (%)
37.15877778 2
 
2.0%
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)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.77204
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:49.167643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.14917
Q1127.18672
median127.42778
Q3128.56147
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)1.3747494

Descriptive statistics

Standard deviation0.71880292
Coefficient of variation (CV)0.0056256667
Kurtosis-0.79585146
Mean127.77204
Median Absolute Deviation (MAD)0.2511111
Skewness0.92805468
Sum12777.204
Variance0.51667763
MonotonicityNot monotonic
2023-12-10T20:02:49.376621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
127.1867222 10
 
10.0%
127.1491667 10
 
10.0%
127.1766667 9
 
9.0%
128.5614716 8
 
8.0%
129.0747222 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
129.1811111 6
 
6.0%
Other values (6) 27
27.0%
ValueCountFrequency (%)
127.0883333 2
 
2.0%
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%
129.0747222 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%

기울기(°)
Real number (ℝ)

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08585103
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size1.0 KiB
2023-12-10T20:02:49.596776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-3.15276
Q1-1.30142
median0.017539
Q31.0850327
95-th percentile3.071416
Maximum12.47809
Range25.72385
Interquartile range (IQR)2.3864528

Descriptive statistics

Standard deviation3.467457
Coefficient of variation (CV)-40.38923
Kurtosis9.2180258
Mean-0.08585103
Median Absolute Deviation (MAD)1.270018
Skewness-0.21449214
Sum-8.585103
Variance12.023258
MonotonicityNot monotonic
2023-12-10T20:02:49.837692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-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%
-1.758683 5
 
5.0%
-0.807188 4
 
4.0%
1.056036 4
 
4.0%
0.166426 4
 
4.0%
-0.131348 4
 
4.0%
Other values (18) 54
54.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-3.15276 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%
ValueCountFrequency (%)
12.47809 3
3.0%
3.071416 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%
0.61369 5
5.0%

풍향
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북동
92 
동
 
8

Length

Max length2
Median length2
Mean length1.92
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북동 92
92.0%
동 8
 
8.0%

Length

2023-12-10T20:02:50.168198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:02:50.345953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북동 92
92.0%
동 8
 
8.0%

풍속(m/s)
Real number (ℝ)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6097889
Minimum3.7826087
Maximum8.3304348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:50.518851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7826087
5-th percentile3.9663043
Q14.0315217
median4.1456522
Q34.4228261
95-th percentile8.3304348
Maximum8.3304348
Range4.5478261
Interquartile range (IQR)0.39130435

Descriptive statistics

Standard deviation1.2421637
Coefficient of variation (CV)0.26946216
Kurtosis3.8256112
Mean4.6097889
Median Absolute Deviation (MAD)0.16195652
Skewness2.3158827
Sum460.97889
Variance1.5429706
MonotonicityNot monotonic
2023-12-10T20:02:51.061775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.14565217391305 25
25.0%
4.03152173913043 10
 
10.0%
3.96956521739131 10
 
10.0%
3.96630434782609 9
 
9.0%
4.75652173913044 8
 
8.0%
7.42637362637362 6
 
6.0%
8.33043478260869 6
 
6.0%
4.30760869565217 6
 
6.0%
4.42282608695652 6
 
6.0%
4.06195652173913 6
 
6.0%
Other values (2) 8
 
8.0%
ValueCountFrequency (%)
3.78260869565217 2
 
2.0%
3.96630434782609 9
 
9.0%
3.96956521739131 10
 
10.0%
4.03152173913043 10
 
10.0%
4.06195652173913 6
 
6.0%
4.1195652173913 6
 
6.0%
4.14565217391305 25
25.0%
4.30760869565217 6
 
6.0%
4.42282608695652 6
 
6.0%
4.75652173913044 8
 
8.0%
ValueCountFrequency (%)
8.33043478260869 6
 
6.0%
7.42637362637362 6
 
6.0%
4.75652173913044 8
 
8.0%
4.42282608695652 6
 
6.0%
4.30760869565217 6
 
6.0%
4.14565217391305 25
25.0%
4.1195652173913 6
 
6.0%
4.06195652173913 6
 
6.0%
4.03152173913043 10
 
10.0%
3.96956521739131 10
 
10.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5159.705
Minimum0
Maximum16764.62
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:51.292137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12228.165
median4208.95
Q38513.1325
95-th percentile11186.289
Maximum16764.62
Range16764.62
Interquartile range (IQR)6284.9675

Descriptive statistics

Standard deviation3885.8993
Coefficient of variation (CV)0.75312431
Kurtosis-0.49180185
Mean5159.705
Median Absolute Deviation (MAD)3087.29
Skewness0.58764518
Sum515970.5
Variance15100213
MonotonicityNot monotonic
2023-12-10T20:02:51.643234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
11180.88 1
 
1.0%
10914.66 1
 
1.0%
9809.34 1
 
1.0%
2042.43 1
 
1.0%
10140.24 1
 
1.0%
11119.38 1
 
1.0%
11289.06 1
 
1.0%
3602.75 1
 
1.0%
2.91 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
2.91 1
 
1.0%
13.85 1
 
1.0%
234.11 1
 
1.0%
286.25 1
 
1.0%
295.75 1
 
1.0%
401.05 1
 
1.0%
954.16 1
 
1.0%
972.6 1
 
1.0%
1053.65 1
 
1.0%
ValueCountFrequency (%)
16764.62 1
1.0%
13684.21 1
1.0%
12940.77 1
1.0%
12843.7 1
1.0%
11289.06 1
1.0%
11180.88 1
1.0%
11119.38 1
1.0%
10914.66 1
1.0%
10716.98 1
1.0%
10687.49 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5404119
Minimum0
Maximum32.702417
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:51.896276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.346243
median6.5938433
Q316.617081
95-th percentile22.230395
Maximum32.702417
Range32.702417
Interquartile range (IQR)13.270838

Descriptive statistics

Standard deviation7.8904805
Coefficient of variation (CV)0.82705868
Kurtosis-0.59913106
Mean9.5404119
Median Absolute Deviation (MAD)4.6532884
Skewness0.69207085
Sum954.04119
Variance62.259682
MonotonicityNot monotonic
2023-12-10T20:02:52.203148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
21.3700008012091 1
 
1.0%
21.8044727257225 1
 
1.0%
19.5963489918457 1
 
1.0%
4.08021039860127 1
 
1.0%
20.257395696456 1
 
1.0%
22.2134466796899 1
 
1.0%
22.5524204023803 1
 
1.0%
7.19729832286087 1
 
1.0%
0.0055970994011755 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0055970994011755 1
 
1.0%
0.0276457416561093 1
 
1.0%
0.447454125933831 1
 
1.0%
0.547109237318181 1
 
1.0%
0.576913758351482 1
 
1.0%
0.7713803143785 1
 
1.0%
1.8236847157363 1
 
1.0%
1.93812391264767 1
 
1.0%
1.94298587157435 1
 
1.0%
ValueCountFrequency (%)
32.7024173509194 1
1.0%
26.1546120398317 1
1.0%
25.8308436282404 1
1.0%
25.637083906756 1
1.0%
22.5524204023803 1
1.0%
22.2134466796899 1
1.0%
21.8044727257225 1
1.0%
21.3700008012091 1
1.0%
21.0052632541141 1
1.0%
20.5780074354883 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3911938
Minimum0
Maximum4.768704
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:52.494556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.48795299
median0.96152179
Q32.4231217
95-th percentile3.2416617
Maximum4.768704
Range4.768704
Interquartile range (IQR)1.9351687

Descriptive statistics

Standard deviation1.1505989
Coefficient of variation (CV)0.82705868
Kurtosis-0.59913106
Mean1.3911938
Median Absolute Deviation (MAD)0.67854785
Skewness0.69207085
Sum139.11938
Variance1.3238778
MonotonicityNot monotonic
2023-12-10T20:02:52.789268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
3.11619801641582 1
 
1.0%
3.1795532105476 1
 
1.0%
2.85756207617581 1
 
1.0%
0.594980958070956 1
 
1.0%
2.9539566644974 1
 
1.0%
3.23919026138229 1
 
1.0%
3.28861979824058 1
 
1.0%
1.04951829276408 1
 
1.0%
0.0008161754514599 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0008161754514599 1
 
1.0%
0.0040313337426846 1
 
1.0%
0.0652482736263252 1
 
1.0%
0.079780096217742 1
 
1.0%
0.084126225644136 1
 
1.0%
0.112483561789688 1
 
1.0%
0.265931796007409 1
 
1.0%
0.282619450899553 1
 
1.0%
0.283328427324222 1
 
1.0%
ValueCountFrequency (%)
4.76870398971495 1
1.0%
3.81389551253725 1
1.0%
3.76668323157553 1
1.0%
3.73842896685334 1
1.0%
3.28861979824058 1
1.0%
3.23919026138229 1
1.0%
3.1795532105476 1
1.0%
3.11619801641582 1
1.0%
3.06301156914599 1
1.0%
3.00070863584762 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57766994
Minimum0
Maximum1.9801245
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:53.113749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.20261431
median0.39925583
Q31.0061607
95-th percentile1.3460458
Maximum1.9801245
Range1.9801245
Interquartile range (IQR)0.80354643

Descriptive statistics

Standard deviation0.47776693
Coefficient of variation (CV)0.82705868
Kurtosis-0.59913106
Mean0.57766994
Median Absolute Deviation (MAD)0.28175564
Skewness0.69207085
Sum57.766994
Variance0.22826124
MonotonicityNot monotonic
2023-12-10T20:02:53.402983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
1.29394905760618 1
 
1.0%
1.32025624133117 1
 
1.0%
1.18655481328227 1
 
1.0%
0.247055882178832 1
 
1.0%
1.22658105232742 1
 
1.0%
1.34501952829799 1
 
1.0%
1.36554431597155 1
 
1.0%
0.435794900936526 1
 
1.0%
0.0003389031925103 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0003389031925103 1
 
1.0%
0.001673943847523 1
 
1.0%
0.0270932532927805 1
 
1.0%
0.0331273493445748 1
 
1.0%
0.0349320068297193 1
 
1.0%
0.0467069159299961 1
 
1.0%
0.110423726290374 1
 
1.0%
0.117352995613953 1
 
1.0%
0.117647386205222 1
 
1.0%
ValueCountFrequency (%)
1.98012449818309 1
1.0%
1.58365626261843 1
1.0%
1.56405215333653 1
1.0%
1.55232004291927 1
1.0%
1.36554431597155 1
1.0%
1.34501952829799 1
1.0%
1.32025624133117 1
1.0%
1.29394905760618 1
1.0%
1.2718642757792 1
1.0%
1.24599402574925 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8496.4916
Minimum0
Maximum155750.74
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:53.691087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12630.11
median5939.515
Q39833.65
95-th percentile18426.379
Maximum155750.74
Range155750.74
Interquartile range (IQR)7203.54

Descriptive statistics

Standard deviation16178.934
Coefficient of variation (CV)1.90419
Kurtosis70.748016
Mean8496.4916
Median Absolute Deviation (MAD)3729.94
Skewness7.8418494
Sum849649.16
Variance2.6175791 × 108
MonotonicityNot monotonic
2023-12-10T20:02:53.987227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
12124.08 1
 
1.0%
17381.4 1
 
1.0%
7167.41 1
 
1.0%
5476.83 1
 
1.0%
16843.49 1
 
1.0%
16114.96 1
 
1.0%
7619.35 1
 
1.0%
8691.07 1
 
1.0%
28.86 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
10.93 1
 
1.0%
28.86 1
 
1.0%
162.21 1
 
1.0%
399.26 1
 
1.0%
431.45 1
 
1.0%
834.91 1
 
1.0%
871.28 1
 
1.0%
1028.74 1
 
1.0%
1079.58 1
 
1.0%
ValueCountFrequency (%)
155750.74 1
1.0%
40310.12 1
1.0%
20372.13 1
1.0%
20142.93 1
1.0%
20080.69 1
1.0%
18339.31 1
1.0%
17683.59 1
1.0%
17478.29 1
1.0%
17381.4 1
1.0%
17049.19 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.819048
Minimum0
Maximum303.81993
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:54.302340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.93932
median11.07202
Q317.636642
95-th percentile35.506344
Maximum303.81993
Range303.81993
Interquartile range (IQR)13.697322

Descriptive statistics

Standard deviation31.632836
Coefficient of variation (CV)1.9996675
Kurtosis70.848407
Mean15.819048
Median Absolute Deviation (MAD)7.0714421
Skewness7.8548618
Sum1581.9048
Variance1000.6363
MonotonicityNot monotonic
2023-12-10T20:02:54.602307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
23.172737683789 1
 
1.0%
34.7232311620218 1
 
1.0%
14.318503357784 1
 
1.0%
10.9411919710205 1
 
1.0%
33.6486357166398 1
 
1.0%
32.1932342185747 1
 
1.0%
15.221354514271 1
 
1.0%
17.3623547387042 1
 
1.0%
0.0555093775662973 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0218171809603809 1
 
1.0%
0.0555093775662973 1
 
1.0%
0.310031753311378 1
 
1.0%
0.76310509726343 1
 
1.0%
0.829851730803151 1
 
1.0%
1.535765231252 1
 
1.0%
1.5609151504343 1
 
1.0%
1.74719598539162 1
 
1.0%
1.79840192097985 1
 
1.0%
ValueCountFrequency (%)
303.8199316295 1
1.0%
78.6321651016036 1
1.0%
39.7395167672865 1
1.0%
39.5890473216062 1
1.0%
39.4667204155753 1
1.0%
35.2979032991017 1
1.0%
35.0518983652111 1
1.0%
34.7232311620218 1
1.0%
33.6486357166398 1
1.0%
32.5860937564812 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3067517
Minimum0
Maximum44.303371
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:54.874414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.57443616
median1.6145346
Q32.5717954
95-th percentile5.1775758
Maximum44.303371
Range44.303371
Interquartile range (IQR)1.9973592

Descriptive statistics

Standard deviation4.6127364
Coefficient of variation (CV)1.9996675
Kurtosis70.848407
Mean2.3067517
Median Absolute Deviation (MAD)1.0311658
Skewness7.8548618
Sum230.67517
Variance21.277337
MonotonicityNot monotonic
2023-12-10T20:02:55.150257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
3.37907517537678 1
 
1.0%
5.06338137640679 1
 
1.0%
2.08794057504411 1
 
1.0%
1.59545715671614 1
 
1.0%
4.90668263659394 1
 
1.0%
4.69445432160472 1
 
1.0%
2.21959536575449 1
 
1.0%
2.53179847302563 1
 
1.0%
0.0080944410753033 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0031814063398948 1
 
1.0%
0.0080944410753033 1
 
1.0%
0.0452091857029867 1
 
1.0%
0.111276860142867 1
 
1.0%
0.121009930767139 1
 
1.0%
0.223947046695341 1
 
1.0%
0.227614436743566 1
 
1.0%
0.254778121658236 1
 
1.0%
0.262245029890627 1
 
1.0%
ValueCountFrequency (%)
44.3033707438078 1
1.0%
11.4662324627631 1
1.0%
5.79486189427447 1
1.0%
5.77292026720005 1
1.0%
5.75508241752125 1
1.0%
5.1471807262672 1
1.0%
5.11130800477554 1
1.0%
5.06338137640679 1
1.0%
4.90668263659394 1
1.0%
4.75174154981508 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95784003
Minimum0
Maximum18.396233
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:55.404328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.238525
median0.67040847
Q31.067895
95-th percentile2.1499017
Maximum18.396233
Range18.396233
Interquartile range (IQR)0.82936997

Descriptive statistics

Standard deviation1.9153616
Coefficient of variation (CV)1.9996675
Kurtosis70.848407
Mean0.95784003
Median Absolute Deviation (MAD)0.42817433
Skewness7.8548618
Sum95.784003
Variance3.6686099
MonotonicityNot monotonic
2023-12-10T20:02:55.672746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
1.40310439700113 1
 
1.0%
2.10248434977118 1
 
1.0%
0.86698236927943 1
 
1.0%
0.662486874553103 1
 
1.0%
2.0374178213796 1
 
1.0%
1.94929356652448 1
 
1.0%
0.921649817070493 1
 
1.0%
1.05128693072859 1
 
1.0%
0.00336108114634 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0013210257222691 1
 
1.0%
0.00336108114634 1
 
1.0%
0.0187723575098113 1
 
1.0%
0.046205853272716 1
 
1.0%
0.0502473479067368 1
 
1.0%
0.0929902620111474 1
 
1.0%
0.0945130843323789 1
 
1.0%
0.105792349742115 1
 
1.0%
0.108892858381052 1
 
1.0%
ValueCountFrequency (%)
18.3962330123883 1
1.0%
4.7611610723476 1
1.0%
2.40621938899722 1
1.0%
2.39710849568245 1
1.0%
2.38970162722928 1
1.0%
2.13728062690398 1
1.0%
2.12238507985486 1
1.0%
2.10248434977118 1
1.0%
2.0374178213796 1
1.0%
1.97308112898526 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean784.3119
Minimum0
Maximum7049.37
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:55.929758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1245.215
median472.93
Q31106.2825
95-th percentile1990.7485
Maximum7049.37
Range7049.37
Interquartile range (IQR)861.0675

Descriptive statistics

Standard deviation891.04874
Coefficient of variation (CV)1.1360898
Kurtosis23.81313
Mean784.3119
Median Absolute Deviation (MAD)363.505
Skewness3.7986197
Sum78431.19
Variance793967.86
MonotonicityNot monotonic
2023-12-10T20:02:56.191058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
1492.95 1
 
1.0%
1986.16 1
 
1.0%
960.68 1
 
1.0%
307.6 1
 
1.0%
1911.66 1
 
1.0%
1767.12 1
 
1.0%
962.05 1
 
1.0%
500.99 1
 
1.0%
1.25 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
1.25 1
 
1.0%
1.65 1
 
1.0%
25.52 1
 
1.0%
47.02 1
 
1.0%
54.53 1
 
1.0%
75.84 1
 
1.0%
77.01 1
 
1.0%
101.43 1
 
1.0%
117.42 1
 
1.0%
ValueCountFrequency (%)
7049.37 1
1.0%
2486.84 1
1.0%
2243.11 1
1.0%
2239.39 1
1.0%
2077.93 1
1.0%
1986.16 1
1.0%
1958.59 1
1.0%
1911.66 1
1.0%
1868.26 1
1.0%
1807.31 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4539799
Minimum0
Maximum13.751069
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:56.418997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.36468802
median0.79684236
Q32.1168497
95-th percentile3.9720774
Maximum13.751069
Range13.751069
Interquartile range (IQR)1.7521617

Descriptive statistics

Standard deviation1.7507199
Coefficient of variation (CV)1.2040881
Kurtosis23.758247
Mean1.4539799
Median Absolute Deviation (MAD)0.65993453
Skewness3.8299066
Sum145.39799
Variance3.06502
MonotonicityNot monotonic
2023-12-10T20:02:56.664226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
2.8534733130277 1
 
1.0%
3.96779849751811 1
 
1.0%
1.91917300750981 1
 
1.0%
0.614499747168692 1
 
1.0%
3.81896809711476 1
 
1.0%
3.53021714309733 1
 
1.0%
1.92190988869844 1
 
1.0%
1.00083949393382 1
 
1.0%
0.0024042523200925 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0024042523200925 1
 
1.0%
0.0032935360095725 1
 
1.0%
0.0487763414370654 1
 
1.0%
0.0898692623186056 1
 
1.0%
0.104883103211718 1
 
1.0%
0.13796492027241 1
 
1.0%
0.139502982522848 1
 
1.0%
0.179797843725919 1
 
1.0%
0.197857523278414 1
 
1.0%
ValueCountFrequency (%)
13.7510686076422 1
1.0%
4.85103029862654 1
1.0%
4.47743245965598 1
1.0%
4.40131185887712 1
1.0%
4.05337753471275 1
1.0%
3.96779849751811 1
1.0%
3.84942568899484 1
1.0%
3.81896809711476 1
1.0%
3.57080280772773 1
1.0%
3.53021714309733 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21202102
Minimum0
Maximum2.0051966
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:56.905649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.053179226
median0.11619647
Q30.30868145
95-th percentile0.57921289
Maximum2.0051966
Range2.0051966
Interquartile range (IQR)0.25550223

Descriptive statistics

Standard deviation0.25529198
Coefficient of variation (CV)1.2040881
Kurtosis23.758247
Mean0.21202102
Median Absolute Deviation (MAD)0.09623241
Skewness3.8299066
Sum21.202102
Variance0.065173994
MonotonicityNot monotonic
2023-12-10T20:02:57.235475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.41609674986298 1
 
1.0%
0.578588925780668 1
 
1.0%
0.279856008186134 1
 
1.0%
0.0896070576238236 1
 
1.0%
0.556886306167616 1
 
1.0%
0.514780311014991 1
 
1.0%
0.28025510333875 1
 
1.0%
0.145943562415343 1
 
1.0%
0.0003505908296649 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0003505908296649 1
 
1.0%
0.0004802671967819 1
 
1.0%
0.0071126220278664 1
 
1.0%
0.0131048388616881 1
 
1.0%
0.0152941743533018 1
 
1.0%
0.0201182028436577 1
 
1.0%
0.0203424848443241 1
 
1.0%
0.0262183277008979 1
 
1.0%
0.0288518108777167 1
 
1.0%
ValueCountFrequency (%)
2.00519658924431 1
1.0%
0.707382799597171 1
1.0%
0.652904334408184 1
1.0%
0.641804341134339 1
1.0%
0.591068159096262 1
1.0%
0.578588925780668 1
1.0%
0.561327667133597 1
1.0%
0.556886306167616 1
1.0%
0.520698559160729 1
1.0%
0.514780311014991 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.088038178
Minimum0
Maximum0.83262431
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:57.520539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.022081783
median0.048248638
Q30.12817481
95-th percentile0.24050845
Maximum0.83262431
Range0.83262431
Interquartile range (IQR)0.10609302

Descriptive statistics

Standard deviation0.10600572
Coefficient of variation (CV)1.2040881
Kurtosis23.758247
Mean0.088038178
Median Absolute Deviation (MAD)0.039958897
Skewness3.8299066
Sum8.8038178
Variance0.011237213
MonotonicityNot monotonic
2023-12-10T20:02:58.133635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.172777209446229 1
 
1.0%
0.240249365191615 1
 
1.0%
0.11620552229039 1
 
1.0%
0.0372078305539034 1
 
1.0%
0.231237715723911 1
 
1.0%
0.213753906139186 1
 
1.0%
0.116371239871205 1
 
1.0%
0.0606006210312095 1
 
1.0%
0.0001455769727278 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0001455769727278 1
 
1.0%
0.0001994229132428 1
 
1.0%
0.002953397223663 1
 
1.0%
0.0054415649473603 1
 
1.0%
0.0063506498582787 1
 
1.0%
0.0083537469291576 1
 
1.0%
0.0084468762751978 1
 
1.0%
0.0108867216530761 1
 
1.0%
0.0119802314547369 1
 
1.0%
ValueCountFrequency (%)
0.832624314404795 1
1.0%
0.293728865137512 1
1.0%
0.271107594499454 1
1.0%
0.266498508119043 1
1.0%
0.24543115790931 1
1.0%
0.240249365191615 1
1.0%
0.233081916511584 1
1.0%
0.231237715723911 1
1.0%
0.216211359603477 1
1.0%
0.213753906139186 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.9576
Minimum0
Maximum9290.28
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:58.388676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197.9225
median259.35
Q3591.06
95-th percentile1318.628
Maximum9290.28
Range9290.28
Interquartile range (IQR)493.1375

Descriptive statistics

Standard deviation1013.2402
Coefficient of variation (CV)1.9486978
Kurtosis57.579776
Mean519.9576
Median Absolute Deviation (MAD)235.295
Skewness6.8659709
Sum51995.76
Variance1026655.7
MonotonicityNot monotonic
2023-12-10T20:02:58.643730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
579.56 1
 
1.0%
900.47 1
 
1.0%
190.11 1
 
1.0%
308.33 1
 
1.0%
918.44 1
 
1.0%
916.34 1
 
1.0%
136.42 1
 
1.0%
472.36 1
 
1.0%
1.73 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.35 1
 
1.0%
0.73 1
 
1.0%
1.73 1
 
1.0%
8.05 1
 
1.0%
9.72 1
 
1.0%
16.41 1
 
1.0%
16.55 1
 
1.0%
20.76 1
 
1.0%
21.13 1
 
1.0%
ValueCountFrequency (%)
9290.28 1
1.0%
2637.42 1
1.0%
2481.35 1
1.0%
1802.1 1
1.0%
1614.8 1
1.0%
1303.04 1
1.0%
1217.71 1
1.0%
1145.63 1
1.0%
1117.72 1
1.0%
1069.98 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96619968
Minimum0
Maximum18.122368
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:58.894258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17065952
median0.45371292
Q31.0458339
95-th percentile2.5882487
Maximum18.122368
Range18.122368
Interquartile range (IQR)0.87517443

Descriptive statistics

Standard deviation1.9734346
Coefficient of variation (CV)2.0424707
Kurtosis58.637299
Mean0.96619968
Median Absolute Deviation (MAD)0.41818443
Skewness6.9585391
Sum96.619968
Variance3.894444
MonotonicityNot monotonic
2023-12-10T20:02:59.194843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
1.10771224307467 1
 
1.0%
1.79889007585498 1
 
1.0%
0.37978721370039 1
 
1.0%
0.615958085320295 1
 
1.0%
1.83478916706636 1
 
1.0%
1.83059394772614 1
 
1.0%
0.272529439235218 1
 
1.0%
0.943644670262039 1
 
1.0%
0.0033274852110081 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0006986288505153 1
 
1.0%
0.0013952480113267 1
 
1.0%
0.0033274852110081 1
 
1.0%
0.0134099700475072 1
 
1.0%
0.0157417040346186 1
 
1.0%
0.0161919141443192 1
 
1.0%
0.0220574088557587 1
 
1.0%
0.0313644107751663 1
 
1.0%
0.0338650359305677 1
 
1.0%
ValueCountFrequency (%)
18.1223680505076 1
1.0%
5.04089727401822 1
1.0%
4.8403210626727 1
1.0%
3.44435128933133 1
1.0%
3.10590931718838 1
1.0%
2.56100340029707 1
1.0%
2.37536315361685 1
1.0%
2.25162874929574 1
1.0%
2.13629672221931 1
1.0%
2.03165261894738 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14089235
Minimum0
Maximum2.6426245
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:02:59.475413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024885767
median0.066160939
Q30.15250471
95-th percentile0.37742139
Maximum2.6426245
Range2.6426245
Interquartile range (IQR)0.12761894

Descriptive statistics

Standard deviation0.28776849
Coefficient of variation (CV)2.0424707
Kurtosis58.637299
Mean0.14089235
Median Absolute Deviation (MAD)0.060980133
Skewness6.9585391
Sum14.089235
Variance0.082810705
MonotonicityNot monotonic
2023-12-10T20:02:59.732928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.161527869219055 1
 
1.0%
0.262316213194163 1
 
1.0%
0.055381006907884 1
 
1.0%
0.0898197141649985 1
 
1.0%
0.267551059831029 1
 
1.0%
0.266939308137238 1
 
1.0%
0.0397405552699675 1
 
1.0%
0.137603347656662 1
 
1.0%
0.0004852177082562 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0001018748599234 1
 
1.0%
0.0002034566645902 1
 
1.0%
0.0004852177082562 1
 
1.0%
0.0019554572061538 1
 
1.0%
0.0022954733293649 1
 
1.0%
0.0023611234837037 1
 
1.0%
0.0032164366470074 1
 
1.0%
0.0045735943368843 1
 
1.0%
0.0049382383638803 1
 
1.0%
ValueCountFrequency (%)
2.64262448546815 1
1.0%
0.7350694196213 1
1.0%
0.705821166532805 1
1.0%
0.502259253778141 1
1.0%
0.452907257394312 1
1.0%
0.373448451887206 1
1.0%
0.346378178289504 1
1.0%
0.328335085596405 1
1.0%
0.311517237186007 1
1.0%
0.296257914077926 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.058503188
Minimum0
Maximum1.0973056
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:00.117685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.010333398
median0.027472222
Q30.063325026
95-th percentile0.15671791
Maximum1.0973056
Range1.0973056
Interquartile range (IQR)0.052991628

Descriptive statistics

Standard deviation0.11949105
Coefficient of variation (CV)2.0424707
Kurtosis58.637299
Mean0.058503188
Median Absolute Deviation (MAD)0.02532098
Skewness6.9585391
Sum5.8503188
Variance0.014278111
MonotonicityNot monotonic
2023-12-10T20:03:00.363668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.0670717435323731 1
 
1.0%
0.108922416056155 1
 
1.0%
0.0229960359772515 1
 
1.0%
0.0372961326225131 1
 
1.0%
0.111096098484808 1
 
1.0%
0.110842078835383 1
 
1.0%
0.0165016002736135 1
 
1.0%
0.0571374864773791 1
 
1.0%
0.0002014785302553 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
4.230183008181e-05 1
 
1.0%
8.44819738743742e-05 1
 
1.0%
0.0002014785302553 1
 
1.0%
0.0008119708682705 1
 
1.0%
0.000953156871176 1
 
1.0%
0.0009804169987067 1
 
1.0%
0.0013355714708503 1
 
1.0%
0.0018991084812034 1
 
1.0%
0.0020505208088564 1
 
1.0%
ValueCountFrequency (%)
1.09730557704143 1
1.0%
0.305225270596921 1
1.0%
0.293080423151053 1
1.0%
0.20855474673837 1
1.0%
0.188062156448716 1
1.0%
0.15506821769296 1
1.0%
0.143827739768783 1
1.0%
0.136335647589933 1
1.0%
0.129352317587487 1
1.0%
0.123016139125337 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1646775.3
Minimum0
Maximum13777877
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:00.617603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1797228.74
median1351923.6
Q32639204.6
95-th percentile3172824.2
Maximum13777877
Range13777877
Interquartile range (IQR)1841975.8

Descriptive statistics

Standard deviation1604926.8
Coefficient of variation (CV)0.97458759
Kurtosis32.287051
Mean1646775.3
Median Absolute Deviation (MAD)888498.4
Skewness4.4266752
Sum1.6467753 × 108
Variance2.57579 × 1012
MonotonicityNot monotonic
2023-12-10T20:03:00.922478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
2994088.2 1
 
1.0%
2796718.56 1
 
1.0%
2617405.1 1
 
1.0%
622286.27 1
 
1.0%
2793152.4 1
 
1.0%
3268715.62 1
 
1.0%
3308912.29 1
 
1.0%
1154790.89 1
 
1.0%
2561.51 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
2561.51 1
 
1.0%
3493.49 1
 
1.0%
68201.7 1
 
1.0%
75215.6 1
 
1.0%
102292.65 1
 
1.0%
123344.64 1
 
1.0%
200005.35 1
 
1.0%
298180.41 1
 
1.0%
316421.03 1
 
1.0%
ValueCountFrequency (%)
13777877.23 1
1.0%
3782937.7 1
1.0%
3592180.29 1
1.0%
3308912.29 1
1.0%
3268715.62 1
1.0%
3167777.26 1
1.0%
3078596.81 1
1.0%
3023543.86 1
1.0%
3010405.16 1
1.0%
2994770.58 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3038.7897
Minimum0
Maximum26876.236
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:01.229394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11194.435
median2062.6042
Q35104.6254
95-th percentile6333.4868
Maximum26876.236
Range26876.236
Interquartile range (IQR)3910.1905

Descriptive statistics

Standard deviation3203.6994
Coefficient of variation (CV)1.0542682
Kurtosis30.144051
Mean3038.7897
Median Absolute Deviation (MAD)1445.8779
Skewness4.2742958
Sum303878.97
Variance10263690
MonotonicityNot monotonic
2023-12-10T20:03:01.473856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
5722.59672162573 1
 
1.0%
5587.07037718462 1
 
1.0%
5228.85166511068 1
 
1.0%
1243.15590241076 1
 
1.0%
5579.94617556445 1
 
1.0%
6529.98999368125 1
 
1.0%
6610.29182577496 1
 
1.0%
2306.9528931655 1
 
1.0%
4.92681308835226 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
4.92681308835226 1
 
1.0%
6.97329400853439 1
 
1.0%
130.353816841234 1
 
1.0%
143.75947441198 1
 
1.0%
199.540277813128 1
 
1.0%
237.241309512786 1
 
1.0%
399.555386890071 1
 
1.0%
569.911813793266 1
 
1.0%
604.775086095138 1
 
1.0%
ValueCountFrequency (%)
26876.2364661525 1
1.0%
7379.30281019953 1
1.0%
6865.72932321852 1
1.0%
6610.29182577496 1
1.0%
6529.98999368125 1
1.0%
6323.1445309789 1
1.0%
6050.69445186157 1
1.0%
6035.2427754134 1
1.0%
5992.25671032166 1
1.0%
5916.67013371181 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.11979
Minimum0
Maximum3919.1236
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:01.740674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1174.17387
median300.77131
Q3744.36233
95-th percentile923.55631
Maximum3919.1236
Range3919.1236
Interquartile range (IQR)570.18846

Descriptive statistics

Standard deviation467.16712
Coefficient of variation (CV)1.0542682
Kurtosis30.144051
Mean443.11979
Median Absolute Deviation (MAD)210.83957
Skewness4.2742958
Sum44311.979
Variance218245.12
MonotonicityNot monotonic
2023-12-10T20:03:02.012830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
834.475614604039 1
 
1.0%
814.7130076838 1
 
1.0%
762.47714441024 1
 
1.0%
181.278418902485 1
 
1.0%
813.674148436025 1
 
1.0%
952.210627169156 1
 
1.0%
963.920332386892 1
 
1.0%
336.402515681718 1
 
1.0%
0.718433532875962 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.718433532875962 1
 
1.0%
1.01685372683981 1
 
1.0%
19.0083430155933 1
 
1.0%
20.9631713714417 1
 
1.0%
29.0971920731585 1
 
1.0%
34.5947997378553 1
 
1.0%
58.2636245855755 1
 
1.0%
83.1051940612953 1
 
1.0%
88.1889963972648 1
 
1.0%
ValueCountFrequency (%)
3919.12361368786 1
1.0%
1076.05839576639 1
1.0%
1001.16852110979 1
1.0%
963.920332386892 1
1.0%
952.210627169156 1
1.0%
922.04818466044 1
1.0%
882.319201773845 1
1.0%
880.066020599636 1
1.0%
873.797743306694 1
1.0%
862.775622049405 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.99808
Minimum0
Maximum1627.3505
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:02.305445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172.322785
median124.89025
Q3309.084
95-th percentile383.4913
Maximum1627.3505
Range1627.3505
Interquartile range (IQR)236.76121

Descriptive statistics

Standard deviation193.98333
Coefficient of variation (CV)1.0542682
Kurtosis30.144051
Mean183.99808
Median Absolute Deviation (MAD)87.547601
Skewness4.2742958
Sum18399.808
Variance37629.531
MonotonicityNot monotonic
2023-12-10T20:03:02.579842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
346.502028890373 1
 
1.0%
338.295937215334 1
 
1.0%
316.605869478942 1
 
1.0%
75.2728286416793 1
 
1.0%
337.864568304384 1
 
1.0%
395.389521839588 1
 
1.0%
400.251780897426 1
 
1.0%
139.685512874874 1
 
1.0%
0.298317497129645 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.298317497129645 1
 
1.0%
0.422231486778578 1
 
1.0%
7.89289621587385 1
 
1.0%
8.70460596458272 1
 
1.0%
12.0821218881829 1
 
1.0%
14.3649114347229 1
 
1.0%
24.1929947096038 1
 
1.0%
34.5080405581784 1
 
1.0%
36.6190043695378 1
 
1.0%
ValueCountFrequency (%)
1627.35046998273 1
1.0%
446.815234396627 1
1.0%
415.718467687428 1
1.0%
400.251780897426 1
1.0%
395.389521839588 1
1.0%
382.865072541548 1
1.0%
366.368277506394 1
1.0%
365.432681744628 1
1.0%
362.829884536848 1
1.0%
358.253133207645 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.841
Minimum0
Maximum6964.5
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:02.855541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1165.24
median312.52
Q3473.6975
95-th percentile908.8675
Maximum6964.5
Range6964.5
Interquartile range (IQR)308.4575

Descriptive statistics

Standard deviation722.82152
Coefficient of variation (CV)1.7257659
Kurtosis69.255938
Mean418.841
Median Absolute Deviation (MAD)159.29
Skewness7.7211721
Sum41884.1
Variance522470.95
MonotonicityNot monotonic
2023-12-10T20:03:03.096344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
474.89 1
 
1.0%
473.58 1
 
1.0%
226.36 1
 
1.0%
234.54 1
 
1.0%
633.82 1
 
1.0%
743.23 1
 
1.0%
278.56 1
 
1.0%
415.33 1
 
1.0%
1.43 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.4 1
 
1.0%
1.43 1
 
1.0%
3.73 1
 
1.0%
21.27 1
 
1.0%
25.84 1
 
1.0%
29.82 1
 
1.0%
54.97 1
 
1.0%
65.41 1
 
1.0%
68.12 1
 
1.0%
ValueCountFrequency (%)
6964.5 1
1.0%
1652.11 1
1.0%
1412.81 1
1.0%
1234.66 1
1.0%
922.12 1
1.0%
908.17 1
1.0%
830.12 1
1.0%
811.6 1
1.0%
743.23 1
1.0%
723.62 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77116106
Minimum0
Maximum13.585514
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:03.336815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.26523451
median0.54583287
Q30.88567074
95-th percentile1.7862942
Maximum13.585514
Range13.585514
Interquartile range (IQR)0.62043623

Descriptive statistics

Standard deviation1.4116542
Coefficient of variation (CV)1.8305568
Kurtosis69.948838
Mean0.77116106
Median Absolute Deviation (MAD)0.30402311
Skewness7.7792002
Sum77.116106
Variance1.9927675
MonotonicityNot monotonic
2023-12-10T20:03:03.607213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.907656613834169 1
 
1.0%
0.946081892926363 1
 
1.0%
0.452204690406714 1
 
1.0%
0.468546068598651 1
 
1.0%
1.26619710582074 1
 
1.0%
1.48476803344664 1
 
1.0%
0.556485856863819 1
 
1.0%
0.829714499322408 1
 
1.0%
0.0027504646541859 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0007984329720175 1
 
1.0%
0.0027504646541859 1
 
1.0%
0.0071291439482858 1
 
1.0%
0.04065332219304 1
 
1.0%
0.0504055841616308 1
 
1.0%
0.0595721146312431 1
 
1.0%
0.0915709383244062 1
 
1.0%
0.105103220291563 1
 
1.0%
0.108593978829753 1
 
1.0%
ValueCountFrequency (%)
13.5855143534705 1
1.0%
3.15767560546983 1
1.0%
2.70030183956506 1
1.0%
2.37474733562039 1
1.0%
1.81234072283424 1
1.0%
1.78492330093304 1
1.0%
1.59512398673955 1
1.0%
1.48476803344664 1
1.0%
1.29637937420493 1
1.0%
1.28759293232418 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11245159
Minimum0
Maximum1.9810553
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:03.850823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.038676801
median0.079593975
Q30.12914952
95-th percentile0.26047946
Maximum1.9810553
Range1.9810553
Interquartile range (IQR)0.090472722

Descriptive statistics

Standard deviation0.20584903
Coefficient of variation (CV)1.8305568
Kurtosis69.948838
Mean0.11245159
Median Absolute Deviation (MAD)0.044332999
Skewness7.7792002
Sum11.245159
Variance0.042373822
MonotonicityNot monotonic
2023-12-10T20:03:04.092363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.132355528009934 1
 
1.0%
0.137958746259722 1
 
1.0%
0.0659410063840336 1
 
1.0%
0.0683239248865136 1
 
1.0%
0.184638313599258 1
 
1.0%
0.216510576845756 1
 
1.0%
0.0811474056296889 1
 
1.0%
0.120989919515288 1
 
1.0%
0.0004010759091366 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.000116428411341 1
 
1.0%
0.0004010759091366 1
 
1.0%
0.0010395799437281 1
 
1.0%
0.0059281140490877 1
 
1.0%
0.0073502000698038 1
 
1.0%
0.0086868740518284 1
 
1.0%
0.0133529792077361 1
 
1.0%
0.0153262720782374 1
 
1.0%
0.0158352984902476 1
 
1.0%
ValueCountFrequency (%)
1.98105527810172 1
1.0%
0.460455876898843 1
1.0%
0.393761109999609 1
1.0%
0.346288379003258 1
1.0%
0.264277601957139 1
1.0%
0.260279562062871 1
1.0%
0.232602808472231 1
1.0%
0.216510576845756 1
1.0%
0.189039526577426 1
1.0%
0.187758277549181 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04669364
Minimum0
Maximum0.82260004
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:04.352966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016059894
median0.033050066
Q30.053627177
95-th percentile0.10815974
Maximum0.82260004
Range0.82260004
Interquartile range (IQR)0.037567283

Descriptive statistics

Standard deviation0.085475363
Coefficient of variation (CV)1.8305568
Kurtosis69.948838
Mean0.04669364
Median Absolute Deviation (MAD)0.018408536
Skewness7.7792002
Sum4.669364
Variance0.0073060376
MonotonicityNot monotonic
2023-12-10T20:03:04.737372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.0549584172235638 1
 
1.0%
0.0572850597975213 1
 
1.0%
0.0273808989732821 1
 
1.0%
0.0283703659886622 1
 
1.0%
0.0766679686660437 1
 
1.0%
0.0899023924010975 1
 
1.0%
0.0336951016875661 1
 
1.0%
0.050239038569417 1
 
1.0%
0.0001665400568006 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
4.83449486649257e-05 1
 
1.0%
0.0001665400568006 1
 
1.0%
0.0004316681678786 1
 
1.0%
0.0024615501154903 1
 
1.0%
0.00305204752825 1
 
1.0%
0.0036070790218381 1
 
1.0%
0.0055446010719042 1
 
1.0%
0.0063639779012056 1
 
1.0%
0.0065753425971099 1
 
1.0%
ValueCountFrequency (%)
0.822600039105933 1
1.0%
0.191196594325469 1
1.0%
0.163502708917061 1
1.0%
0.143790452118511 1
1.0%
0.109736849904095 1
1.0%
0.10807673076975 1
1.0%
0.0965844221816723 1
1.0%
0.0899023924010975 1
1.0%
0.0784954986739005 1
1.0%
0.0779634814644925 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.2831
Minimum0
Maximum3064.37
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:05.378826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172.705
median137.465
Q3208.4225
95-th percentile399.915
Maximum3064.37
Range3064.37
Interquartile range (IQR)135.7175

Descriptive statistics

Standard deviation318.04266
Coefficient of variation (CV)1.7258373
Kurtosis69.25458
Mean184.2831
Median Absolute Deviation (MAD)70.1
Skewness7.7210699
Sum18428.31
Variance101151.13
MonotonicityNot monotonic
2023-12-10T20:03:05.638136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
208.96 1
 
1.0%
208.35 1
 
1.0%
99.62 1
 
1.0%
103.18 1
 
1.0%
278.85 1
 
1.0%
326.99 1
 
1.0%
122.58 1
 
1.0%
182.66 1
 
1.0%
0.63 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.17 1
 
1.0%
0.63 1
 
1.0%
1.54 1
 
1.0%
9.32 1
 
1.0%
11.31 1
 
1.0%
13.11 1
 
1.0%
24.15 1
 
1.0%
28.83 1
 
1.0%
29.97 1
 
1.0%
ValueCountFrequency (%)
3064.37 1
1.0%
726.96 1
1.0%
621.63 1
1.0%
543.25 1
1.0%
405.71 1
1.0%
399.61 1
1.0%
365.29 1
1.0%
357.06 1
1.0%
326.99 1
1.0%
318.37 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33929913
Minimum0
Maximum5.9776068
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:05.902547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11667512
median0.24016559
Q30.3896781
95-th percentile0.78599558
Maximum5.9776068
Range5.9776068
Interquartile range (IQR)0.27300299

Descriptive statistics

Standard deviation0.6211291
Coefficient of variation (CV)1.8306239
Kurtosis69.947865
Mean0.33929913
Median Absolute Deviation (MAD)0.13378527
Skewness7.7791278
Sum33.929913
Variance0.38580136
MonotonicityNot monotonic
2023-12-10T20:03:06.154765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.399384964995658 1
 
1.0%
0.416225690255517 1
 
1.0%
0.199013214606453 1
 
1.0%
0.206125110249888 1
 
1.0%
0.55706519667747 1
 
1.0%
0.653235605743467 1
 
1.0%
0.244880946059617 1
 
1.0%
0.364904173660056 1
 
1.0%
0.0012117431693266 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
0.0003393340131074 1
 
1.0%
0.0012117431693266 1
 
1.0%
0.0029433999143056 1
 
1.0%
0.0178133033774863 1
 
1.0%
0.0220621964732215 1
 
1.0%
0.0261901550239972 1
 
1.0%
0.0402299101425215 1
 
1.0%
0.0462549285319338 1
 
1.0%
0.0477387387007558 1
 
1.0%
ValueCountFrequency (%)
5.977606808722 1
1.0%
1.38943766344393 1
1.0%
1.1881205770973 1
1.0%
1.04488805831223 1
1.0%
0.797385106776862 1
1.0%
0.785396126590673 1
1.0%
0.701768076275533 1
1.0%
0.653235605743467 1
1.0%
0.570366078004509 1
1.0%
0.566607958592288 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.049476988
Minimum0
Maximum0.87166148
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:06.431822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.017013699
median0.035021222
Q30.056823308
95-th percentile0.11461478
Maximum0.87166148
Range0.87166148
Interquartile range (IQR)0.039809609

Descriptive statistics

Standard deviation0.090573757
Coefficient of variation (CV)1.8306239
Kurtosis69.947865
Mean0.049476988
Median Absolute Deviation (MAD)0.019508722
Skewness7.7791278
Sum4.9476988
Variance0.0082036055
MonotonicityNot monotonic
2023-12-10T20:03:06.697676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.0582387734695524 1
 
1.0%
0.060694507333952 1
 
1.0%
0.0290203351121109 1
 
1.0%
0.0300573998882514 1
 
1.0%
0.0812318856254981 1
 
1.0%
0.0952555649298247 1
 
1.0%
0.0357088202975562 1
 
1.0%
0.0532107449465788 1
 
1.0%
0.0001766977781511 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
4.94820748199559e-05 1
 
1.0%
0.0001766977781511 1
 
1.0%
0.0004292099499574 1
 
1.0%
0.0025975563205217 1
 
1.0%
0.0032171347828746 1
 
1.0%
0.0038190784312364 1
 
1.0%
0.0058663716184614 1
 
1.0%
0.0067449467073727 1
 
1.0%
0.0069613176073007 1
 
1.0%
ValueCountFrequency (%)
0.871661477860089 1
1.0%
0.202609393000698 1
1.0%
0.173253104670166 1
1.0%
0.152366774572368 1
1.0%
0.116275610430346 1
1.0%
0.11452736359486 1
1.0%
0.102332625422739 1
1.0%
0.0952555649298247 1
1.0%
0.0831714353893688 1
1.0%
0.0826234221081922 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020544491
Minimum0
Maximum0.36194284
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:06.972974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0070646537
median0.014541976
Q30.023594927
95-th percentile0.047591867
Maximum0.36194284
Range0.36194284
Interquartile range (IQR)0.016530274

Descriptive statistics

Standard deviation0.037609236
Coefficient of variation (CV)1.8306239
Kurtosis69.947865
Mean0.020544491
Median Absolute Deviation (MAD)0.0081006702
Skewness7.7791278
Sum2.0544491
Variance0.0014144547
MonotonicityNot monotonic
2023-12-10T20:03:07.263878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
0.0241826756997113 1
 
1.0%
0.0252023780751163 1
 
1.0%
0.0120502083217811 1
 
1.0%
0.0124808321084257 1
 
1.0%
0.0337301805915343 1
 
1.0%
0.0395532786502629 1
 
1.0%
0.0148274898221634 1
 
1.0%
0.0220948710304811 1
 
1.0%
7.33707942548249e-05 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 6
6.0%
2.05466031825934e-05 1
 
1.0%
7.33707942548249e-05 1
 
1.0%
0.0001782222462555 1
 
1.0%
0.0010785917760399 1
 
1.0%
0.0013358613600815 1
 
1.0%
0.0015858083828402 1
 
1.0%
0.0024359126048115 1
 
1.0%
0.0028007262021324 1
 
1.0%
0.0028905705960317 1
 
1.0%
ValueCountFrequency (%)
0.361942836073666 1
1.0%
0.0841301585311166 1
1.0%
0.0719404512596264 1
1.0%
0.0632677523475137 1
1.0%
0.0482815006448081 1
1.0%
0.0475555704140193 1
1.0%
0.0424919095418777 1
1.0%
0.0395532786502629 1
1.0%
0.0345355461607055 1
1.0%
0.0343079928200645 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-0010-0083E-6경남 양산시 동면E1노포JC-양산JC8.320210301099.0535.306944129.074722-3.15276북동7.4263743588.293.8285310.5582810.2318172841.963.0322330.4421640.183601324.090.3457880.0504230.020937221.280.2360950.0344280.0142961251451.331335.237689194.70589180.848361246.060.2625340.0382830.015896108.220.1154650.0168370.006991
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320210301094.5135.306944129.074722-3.15276북동7.4263743835.864.0926760.5967990.2478113701.883.9497260.5759540.239155395.040.4214880.0614620.025521183.530.1958180.0285540.0118571230257.61312.62501191.40848479.479169254.030.2710380.0395230.016411111.830.1193170.0173990.007225
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320210301088.1635.306944129.074722-3.15276북동7.4263744492.064.7928090.6988930.2902046096.496.5046580.9485170.393856644.260.6873940.1002370.041622439.080.4684770.0683140.0283661399420.511493.113606217.72753890.407715450.810.4809920.0701390.029124198.320.2115980.0308550.012812
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202103010105.5435.306944129.0747223.071416북동7.4263742898.553.0926120.4509680.1872572136.912.2799790.3324690.138052215.610.2300450.0335450.01392931.740.0338650.0049380.0020511048107.061118.279245163.06876267.711573102.80.1096830.0159940.00664145.140.0481620.0070230.002916
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320210301090.4835.306944129.0747223.071416북동7.4263744706.935.0220650.7323230.3040854012.954.2816220.6243510.259251427.60.4562280.0665280.027625162.140.1729950.0252260.0104751489862.881589.611215231.7989396.250625227.120.2423260.0353360.01467399.970.1066630.0155540.006458
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320210301093.2235.306944129.0747223.071416북동7.4263744429.874.7264560.6892170.2861864912.645.2415480.7643290.317375602.110.6424220.0936790.038899785.840.8384530.1222640.0507681378788.311471.100052214.51749689.074799830.120.8856980.1291530.053629365.290.3897470.0568330.023599
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.420210301099.9335.681944129.1811110.22545북동8.3304353129.832.976970.4341050.1802552164.692.0589670.3002410.12467231.220.2199270.032070.01331723.190.0220570.0032160.0013361071768.441019.42366148.65352761.725888110.50.1051030.0153260.00636448.630.0462550.0067450.002801
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420210301089.4135.681944129.1811110.22545북동8.3304354531.414.3100980.6285030.2609764727.944.4970290.6557620.272294471.30.4482820.0653690.027143205.790.1957390.0285430.0118521527435.341452.835955211.85420587.968912279.80.2661350.0388080.016114123.090.1170780.0170720.007089
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420210301079.5235.681944129.1811110.22545북동8.3304355279.755.0218890.7322980.30407416445.0815.6419082.2809210.9471141532.691.4578340.2125830.0882721011.960.9625360.1403580.0582811620601.171541.4516224.77623993.33457562.660.535180.0780410.032405247.540.235450.0343340.014256
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202103010109.735.681944129.1811110.19158북동8.3304352619.172.4912510.3632770.1508451836.911.7471960.2547780.105792189.030.1797980.0262180.01088716.550.0157420.0022950.000953951527.22905.054978131.97615454.800889114.170.1085940.0158350.00657550.190.0477390.0069610.002891
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 원곡면E3안성IC-안성JC361.320210301071.3837.008889127.1491671.293015북동3.96956513.850.0276460.0040310.00167410.930.0218170.0031810.0013211.650.0032940.000480.0001990.350.0006990.0001020.0000423493.496.9732941.0168540.4222310.40.0007980.0001160.0000480.170.0003390.0000490.000021
9192도로공사A-0010-3613E-10경기 안성시 원곡면E4안성IC-안성JC361.320210301055.0937.008889127.1491671.293015북동3.96956512843.725.6370843.7384291.5523217683.5935.2979035.1471812.1372812243.114.4774320.6529040.2711081017.822.0316530.2962580.1230163023543.866035.242775880.066021365.432682481.870.9618520.1402580.05824212.040.4232490.0617190.025628
9293도로공사A-0010-3613E-10경기 안성시 원곡면E5안성IC-안성JC361.320210301055.6537.008889127.1491671.293015북동3.9695659124.9218.2140922.6561.10285912943.7625.8368123.7675541.5644141554.453.102810.4524550.187875783.171.5632720.2279580.0946562242923.374477.059931652.850012271.085038332.610.6639170.0968130.0402146.320.2920670.042590.017685
9394도로공사A-0010-3613E-10경기 안성시 원곡면S1안성JC-안성IC361.3202103010105.6637.008889127.149167-1.30142북동3.9695653136.776.2612510.9130230.3791178435.4316.8378142.4553091.019526474.560.9472610.1381310.057356504.981.0079820.1469850.0610331004154.492004.375135292.28028121.364493443.70.8856620.1291480.053627195.210.3896550.056820.023594
9495도로공사A-0010-3613E-10경기 안성시 원곡면S2안성JC-안성IC361.320210301087.6837.008889127.149167-1.30142북동3.9695659856.4219.6742272.8689181.191276377.6512.7303151.8563490.770818807.221.6112780.2349580.097563115.490.2305280.0336160.0139582890697.145770.069772841.398189349.376512248.890.4968050.0724450.030081109.510.2185910.0318750.013236
9596도로공사A-0010-3613E-10경기 안성시 원곡면S3안성JC-안성IC361.320210301080.9137.008889127.149167-1.30142북동3.9695659328.6218.6206942.7152911.1274799263.5918.4908892.6963631.1196191104.782.2052320.3215690.133526459.430.917060.1337270.0555282725092.585439.509419793.1955329.361152461.870.9219310.1344370.055823203.210.4056240.0591490.02456
9697도로공사A-0010-3613E-10경기 안성시 원곡면S4안성JC-안성IC361.320210301075.037.008889127.149167-1.30142북동3.9695658306.4116.5802792.4177551.0039329369.2918.7018752.7271291.1323951205.012.4052990.3507430.14564498.40.9948470.145070.0602382237920.644467.074069651.393862270.480396370.860.7402670.1079470.044823163.190.3257410.04750.019724
9798도로공사A-0010-3613E-10경기 안성시 원곡면S5안성JC-안성IC361.320210301075.2737.008889127.149167-1.30142북동3.9695656843.1213.6594321.9918340.8270767749.9215.4694792.2557770.936674935.561.8674550.2723140.113074937.491.8713070.2728760.1133071900980.43794.513576553.32032229.757645.061.2875930.1877580.077963283.860.5666080.0826230.034308
9899도로공사A-0010-3801E-10경기 화성시 동탄면 송리E1오산IC-동탄JC380.120210301073.1737.158778127.088333-0.660004북동3.7826093519.737.3729171.0751270.4464292282.384.7809910.697170.289488320.50.6713640.0978990.04065121.130.0442620.0064540.002681000150.042095.053672305.503128126.8550665.410.1370170.019980.00829628.830.0603910.0088060.003657
99100도로공사A-0010-3801E-10경기 화성시 동탄면 송리E2오산IC-동탄JC380.120210301088.3237.158778127.088333-0.660004북동3.7826099823.6620.5780073.0007091.2459946589.8513.8040182.0129180.83583825.61.7294170.2521860.104716102.330.2143550.0312570.0129792860621.65992.25671873.797743362.829885231.540.4850160.0707260.029368101.870.2133910.0311170.012921