Overview

Dataset statistics

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

Variable types

Numeric35
Categorical9

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
기본키 has unique valuesUnique
평균 속도(km/hr) has 24 (24.0%) zerosZeros
CO(g/km) has 24 (24.0%) zerosZeros
CO_100M(g/km) has 24 (24.0%) zerosZeros
CO_300M(g/km) has 24 (24.0%) zerosZeros
CO_500M(g/km) has 24 (24.0%) zerosZeros
NOX(g/km) has 24 (24.0%) zerosZeros
NOX_100M(g/km) has 24 (24.0%) zerosZeros
NOX_300M(g/km) has 24 (24.0%) zerosZeros
NOX_500M(g/km) has 24 (24.0%) zerosZeros
HC(g/km) has 24 (24.0%) zerosZeros
HC_100M(g/km) has 24 (24.0%) zerosZeros
HC_300M(g/km) has 24 (24.0%) zerosZeros
HC_500M(g/km) has 24 (24.0%) zerosZeros
PM(g/km) has 38 (38.0%) zerosZeros
PM_100M(g/km) has 38 (38.0%) zerosZeros
PM_300M(g/km) has 38 (38.0%) zerosZeros
PM_500M(g/km) has 38 (38.0%) zerosZeros
CO2(g/km) has 24 (24.0%) zerosZeros
CO2_100M(g/km) has 24 (24.0%) zerosZeros
CO2_300M(g/km) has 24 (24.0%) zerosZeros
CO2_500M(g/km) has 24 (24.0%) zerosZeros
TSP(g/km) has 24 (24.0%) zerosZeros
TSP_100M(g/km) has 24 (24.0%) zerosZeros
TSP_300M(g/km) has 24 (24.0%) zerosZeros
TSP_500M(g/km) has 24 (24.0%) zerosZeros
PM10(g/km) has 24 (24.0%) zerosZeros
PM10_100M(g/km) has 24 (24.0%) zerosZeros
PM10_300M(g/km) has 24 (24.0%) zerosZeros
PM10_500M(g/km) has 24 (24.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:20:04.120753
Analysis finished2023-12-10 11:20:04.731206
Duration0.61 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
2023-12-10T20:20:05.045551image/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
2023-12-10T20:20:05.333359image/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

2023-12-10T20:20:05.569087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:05.753376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3801E-10
10 
A-0010-3352E-9
9 
A-0010-1185E-8
8 
Other values (9)
53 

Length

Max length15
Median length14
Mean length14.38
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A-0010-3452S-10 10
10.0%
A-0010-3613E-10 10
10.0%
A-0010-3801E-10 10
10.0%
A-0010-3352E-9 9
9.0%
A-0010-1185E-8 8
 
8.0%
A-0010-3880E-10 8
 
8.0%
A-0010-2583E-7 7
 
7.0%
A-0010-0538E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (4) 20
20.0%

Length

2023-12-10T20:20:05.982739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-3452s-10 10
10.0%
a-0010-3613e-10 10
10.0%
a-0010-3801e-10 10
10.0%
a-0010-3352e-9 9
9.0%
a-0010-1185e-8 8
 
8.0%
a-0010-3880e-10 8
 
8.0%
a-0010-2583e-7 7
 
7.0%
a-0010-0538e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (4) 20
20.0%

주소
Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충남 천안시 서북구 성거읍 송남리
10 
경기 안성시 원곡면
10 
경기 화성시 동탄면 송리
10 
충북 청원군 남이면
9 
충청 천안시 구성동
9 
Other values (8)
52 

Length

Max length18
Median length10
Mean length12.14
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
경기 화성시 동탄면 송리 10
10.0%
충북 청원군 남이면 9
9.0%
충청 천안시 구성동 9
9.0%
대구 동구 안심3동 8
8.0%
경기 용인시 기흥구 기흥동 8
8.0%
충북 옥천군 옥천읍 삼양리 7
7.0%
울산 울주군 두서면 활천리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (3) 17
17.0%

Length

2023-12-10T20:20:06.240220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 28
 
7.9%
충북 27
 
7.6%
청원군 20
 
5.6%
천안시 19
 
5.3%
남이면 14
 
3.9%
대전 12
 
3.4%
대덕구 12
 
3.4%
충남 10
 
2.8%
동탄면 10
 
2.8%
송리 10
 
2.8%
Other values (25) 194
54.5%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
S
52 
E
48 

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 (%)
S 52
52.0%
E 48
48.0%

Length

2023-12-10T20:20:06.470636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:06.650177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 52
52.0%
e 48
48.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
25 
2
25 
3
25 
4
15 
5
10 

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 25
25.0%
2 25
25.0%
3 25
25.0%
4 15
15.0%
5 10
 
10.0%

Length

2023-12-10T20:20:06.827773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:07.001038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
25.0%
2 25
25.0%
3 25
25.0%
4 15
15.0%
5 10
 
10.0%

측정구간
Categorical

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남이JC-청주JC
 
5
기흥IC-수원신갈IC
 
5
동탄JC-오산IC
 
5
오산IC-동탄JC
 
5
안성JC-안성IC
 
5
Other values (20)
75 

Length

Max length11
Median length9
Mean length9.38
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 (%)
남이JC-청주JC 5
 
5.0%
기흥IC-수원신갈IC 5
 
5.0%
동탄JC-오산IC 5
 
5.0%
오산IC-동탄JC 5
 
5.0%
안성JC-안성IC 5
 
5.0%
안성IC-안성JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
Other values (15) 50
50.0%

Length

2023-12-10T20:20:07.211697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남이jc-청주jc 5
 
5.0%
기흥ic-수원신갈ic 5
 
5.0%
동탄jc-오산ic 5
 
5.0%
오산ic-동탄jc 5
 
5.0%
안성jc-안성ic 5
 
5.0%
안성ic-안성jc 5
 
5.0%
청주jc-남이jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
Other values (15) 50
50.0%

장비이정(km)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.419
Minimum53.4
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:07.429611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.4
5-th percentile53.4
Q1269.5
median306.8
Q3361.3
95-th percentile388
Maximum388
Range334.6
Interquartile range (IQR)91.8

Descriptive statistics

Standard deviation92.163911
Coefficient of variation (CV)0.31410342
Kurtosis1.2103889
Mean293.419
Median Absolute Deviation (MAD)38.4
Skewness-1.4183267
Sum29341.9
Variance8494.1864
MonotonicityIncreasing
2023-12-10T20:20:07.645493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
345.2 10
10.0%
361.3 10
10.0%
380.1 10
10.0%
335.2 9
9.0%
118.5 8
 
8.0%
388.0 8
 
8.0%
258.3 7
 
7.0%
53.4 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
Other values (4) 20
20.0%
ValueCountFrequency (%)
53.4 6
6.0%
118.5 8
8.0%
258.3 7
7.0%
269.5 6
6.0%
276.1 6
6.0%
295.3 4
4.0%
297.9 5
5.0%
298.7 5
5.0%
306.8 6
6.0%
335.2 9
9.0%
ValueCountFrequency (%)
388.0 8
8.0%
380.1 10
10.0%
361.3 10
10.0%
345.2 10
10.0%
335.2 9
9.0%
306.8 6
6.0%
298.7 5
5.0%
297.9 5
5.0%
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
20201101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201101
2nd row20201101
3rd row20201101
4th row20201101
5th row20201101

Common Values

ValueCountFrequency (%)
20201101 100
100.0%

Length

2023-12-10T20:20:07.856912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:08.034810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201101 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

2023-12-10T20:20:08.243021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:08.420635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.3269
Minimum0
Maximum142.5
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:08.618904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134.635
median92.35
Q3100.7525
95-th percentile113.525
Maximum142.5
Range142.5
Interquartile range (IQR)66.1175

Descriptive statistics

Standard deviation43.449509
Coefficient of variation (CV)0.60073789
Kurtosis-0.83036614
Mean72.3269
Median Absolute Deviation (MAD)10.25
Skewness-0.91159667
Sum7232.69
Variance1887.8598
MonotonicityNot monotonic
2023-12-10T20:20:09.026613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
97.0 4
 
4.0%
83.0 3
 
3.0%
104.0 3
 
3.0%
96.0 2
 
2.0%
106.0 2
 
2.0%
101.0 2
 
2.0%
103.0 2
 
2.0%
105.0 2
 
2.0%
98.0 2
 
2.0%
Other values (51) 54
54.0%
ValueCountFrequency (%)
0.0 24
24.0%
20.67 1
 
1.0%
39.29 1
 
1.0%
40.03 1
 
1.0%
77.67 1
 
1.0%
81.5 1
 
1.0%
82.5 1
 
1.0%
82.52 1
 
1.0%
82.8 1
 
1.0%
83.0 3
 
3.0%
ValueCountFrequency (%)
142.5 1
1.0%
125.0 2
2.0%
122.33 1
1.0%
114.0 1
1.0%
113.5 1
1.0%
111.0 1
1.0%
110.66 1
1.0%
109.0 1
1.0%
108.36 1
1.0%
107.0 1
1.0%

위도(°)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.62913
Minimum35.681944
Maximum37.226111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:09.344203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.681944
5-th percentile35.681944
Q136.3475
median36.640197
Q337.008889
95-th percentile37.226111
Maximum37.226111
Range1.5441667
Interquartile range (IQR)0.66138889

Descriptive statistics

Standard deviation0.4388131
Coefficient of variation (CV)0.011979894
Kurtosis-0.42609791
Mean36.62913
Median Absolute Deviation (MAD)0.29269722
Skewness-0.57195835
Sum3662.913
Variance0.19255693
MonotonicityIncreasing
2023-12-10T20:20:09.609167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
36.86890278 10
10.0%
37.00888889 10
10.0%
37.15877778 10
10.0%
36.78083333 9
9.0%
35.90473241 8
 
8.0%
37.22611111 8
 
8.0%
36.30722222 7
 
7.0%
35.68194444 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
Other values (4) 20
20.0%
ValueCountFrequency (%)
35.68194444 6
6.0%
35.90473241 8
8.0%
36.30722222 7
7.0%
36.3475 6
6.0%
36.38961 6
6.0%
36.54 4
4.0%
36.57694444 5
5.0%
36.58444444 5
5.0%
36.64019722 6
6.0%
36.78083333 9
9.0%
ValueCountFrequency (%)
37.22611111 8
8.0%
37.15877778 10
10.0%
37.00888889 10
10.0%
36.86890278 10
10.0%
36.78083333 9
9.0%
36.64019722 6
6.0%
36.58444444 5
5.0%
36.57694444 5
5.0%
36.54 4
 
4.0%
36.38961 6
6.0%

경도(°)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.4993
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:09.841773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.08833
Q1127.14917
median127.37813
Q3127.46917
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.57106136
Coefficient of variation (CV)0.0044789374
Kurtosis2.8612033
Mean127.4993
Median Absolute Deviation (MAD)0.2014611
Skewness1.9871952
Sum12749.93
Variance0.32611108
MonotonicityNot monotonic
2023-12-10T20:20:10.046454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
127.1867222 10
10.0%
127.1491667 10
10.0%
127.0883333 10
10.0%
127.1766667 9
9.0%
128.5614716 8
 
8.0%
127.1083333 8
 
8.0%
127.5744444 7
 
7.0%
129.1811111 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
Other values (4) 20
20.0%
ValueCountFrequency (%)
127.0883333 10
10.0%
127.1083333 8
8.0%
127.1491667 10
10.0%
127.1766667 9
9.0%
127.1867222 10
10.0%
127.3781278 6
6.0%
127.423508 6
6.0%
127.4263889 5
5.0%
127.4277778 5
5.0%
127.4338889 4
 
4.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
128.5614716 8
8.0%
127.5744444 7
7.0%
127.4691667 6
6.0%
127.4338889 4
 
4.0%
127.4277778 5
5.0%
127.4263889 5
5.0%
127.423508 6
6.0%
127.3781278 6
6.0%
127.1867222 10
10.0%

기울기(°)
Real number (ℝ)

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03972798
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size1.0 KiB
2023-12-10T20:20:10.315507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-2.788625
Q1-0.688696
median0.166426
Q30.671977
95-th percentile2.703849
Maximum12.47809
Range25.72385
Interquartile range (IQR)1.360673

Descriptive statistics

Standard deviation3.3596283
Coefficient of variation (CV)-84.565796
Kurtosis10.839846
Mean-0.03972798
Median Absolute Deviation (MAD)0.82643
Skewness-0.27787135
Sum-3.972798
Variance11.287102
MonotonicityNot monotonic
2023-12-10T20:20:10.574189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-0.660004 5
 
5.0%
-0.624001 5
 
5.0%
0.61369 5
 
5.0%
1.293015 5
 
5.0%
1.437416 5
 
5.0%
-1.758683 5
 
5.0%
-1.30142 5
 
5.0%
1.544389 5
 
5.0%
0.671977 5
 
5.0%
-0.55276 5
 
5.0%
Other values (15) 50
50.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
-0.660004 5
5.0%
-0.624001 5
5.0%
-0.55276 5
5.0%
ValueCountFrequency (%)
12.47809 3
3.0%
2.703849 3
3.0%
1.544389 5
5.0%
1.437416 5
5.0%
1.293015 5
5.0%
0.688696 3
3.0%
0.671977 5
5.0%
0.61369 5
5.0%
0.564123 3
3.0%
0.2594 4
4.0%

풍향
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남
53 
남동
33 
남서
8 
서
6 

Length

Max length2
Median length1
Mean length1.41
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 53
53.0%
남동 33
33.0%
남서 8
 
8.0%
서 6
 
6.0%

Length

2023-12-10T20:20:10.838783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:20:11.078712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 53
53.0%
남동 33
33.0%
남서 8
 
8.0%
서 6
 
6.0%

풍속(m/s)
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.615
Minimum0.3
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:11.253504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3
Q10.4
median0.6
Q30.8
95-th percentile1
Maximum1
Range0.7
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.19141947
Coefficient of variation (CV)0.31125117
Kurtosis-0.92848617
Mean0.615
Median Absolute Deviation (MAD)0.2
Skewness0.10790072
Sum61.5
Variance0.036641414
MonotonicityNot monotonic
2023-12-10T20:20:11.569106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.8 24
24.0%
0.4 23
23.0%
0.7 17
17.0%
0.6 14
14.0%
0.5 10
10.0%
1.0 6
 
6.0%
0.3 6
 
6.0%
ValueCountFrequency (%)
0.3 6
 
6.0%
0.4 23
23.0%
0.5 10
10.0%
0.6 14
14.0%
0.7 17
17.0%
0.8 24
24.0%
1.0 6
 
6.0%
ValueCountFrequency (%)
1.0 6
 
6.0%
0.8 24
24.0%
0.7 17
17.0%
0.6 14
14.0%
0.5 10
10.0%
0.4 23
23.0%
0.3 6
 
6.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.4982
Minimum0
Maximum1410.69
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:11.835604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.89
median11.57
Q330.3225
95-th percentile60.5795
Maximum1410.69
Range1410.69
Interquartile range (IQR)29.4325

Descriptive statistics

Standard deviation151.19804
Coefficient of variation (CV)4.1426164
Kurtosis72.030648
Mean36.4982
Median Absolute Deviation (MAD)11.57
Skewness8.2308015
Sum3649.82
Variance22860.848
MonotonicityNot monotonic
2023-12-10T20:20:12.273694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.97 3
 
3.0%
2.3 2
 
2.0%
4.54 2
 
2.0%
2.92 1
 
1.0%
10.37 1
 
1.0%
18.14 1
 
1.0%
22.21 1
 
1.0%
23.19 1
 
1.0%
8.93 1
 
1.0%
Other values (63) 63
63.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.65 1
 
1.0%
0.97 3
 
3.0%
1.15 1
 
1.0%
2.3 2
 
2.0%
2.92 1
 
1.0%
3.09 1
 
1.0%
3.24 1
 
1.0%
3.33 1
 
1.0%
3.82 1
 
1.0%
ValueCountFrequency (%)
1410.69 1
1.0%
587.4 1
1.0%
73.91 1
1.0%
69.01 1
1.0%
67.6 1
1.0%
60.21 1
1.0%
53.3 1
1.0%
50.21 1
1.0%
49.58 1
1.0%
48.06 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49881957
Minimum0
Maximum18.629524
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:12.572347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.012058697
median0.13631386
Q30.42198838
95-th percentile0.82117005
Maximum18.629524
Range18.629524
Interquartile range (IQR)0.40992968

Descriptive statistics

Standard deviation1.9980685
Coefficient of variation (CV)4.0055936
Kurtosis71.540055
Mean0.49881957
Median Absolute Deviation (MAD)0.13631386
Skewness8.1890983
Sum49.881957
Variance3.9922777
MonotonicityNot monotonic
2023-12-10T20:20:12.853373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.026034617980431 2
 
2.0%
0.0899326260237061 2
 
2.0%
0.0231368518052178 1
 
1.0%
0.205418795565161 1
 
1.0%
0.0329818991915134 1
 
1.0%
0.359334325125557 1
 
1.0%
0.439956745371479 1
 
1.0%
0.459369514865582 1
 
1.0%
0.176893909777906 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0096073400047351 1
 
1.0%
0.0128758165011914 1
 
1.0%
0.0153717440075762 1
 
1.0%
0.0182242325863017 1
 
1.0%
0.0192146800094702 1
 
1.0%
0.0231368518052178 1
 
1.0%
0.0256723972085293 1
 
1.0%
0.026034617980431 2
 
2.0%
0.0306048253759088 1
 
1.0%
ValueCountFrequency (%)
18.6295236718623 1
1.0%
7.75718421825623 1
1.0%
1.17126350474222 1
1.0%
1.09361242676581 1
1.0%
1.07126793289912 1
1.0%
0.808007007820919 1
1.0%
0.795685841876702 1
1.0%
0.785702131851163 1
1.0%
0.712488258330542 1
1.0%
0.681541021131195 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.072738442
Minimum0
Maximum2.7165785
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:13.211138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0017584131
median0.019877444
Q30.061534829
95-th percentile0.11974396
Maximum2.7165785
Range2.7165785
Interquartile range (IQR)0.059776416

Descriptive statistics

Standard deviation0.29136064
Coefficient of variation (CV)4.0055936
Kurtosis71.540055
Mean0.072738442
Median Absolute Deviation (MAD)0.019877444
Skewness8.1890983
Sum7.2738442
Variance0.084891021
MonotonicityNot monotonic
2023-12-10T20:20:13.600887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0037963978412285 2
 
2.0%
0.0131140786298091 2
 
2.0%
0.0033738422554222 1
 
1.0%
0.0299544042711718 1
 
1.0%
0.0048094583521216 1
 
1.0%
0.0523985432477393 1
 
1.0%
0.0641549969973699 1
 
1.0%
0.0669857893007207 1
 
1.0%
0.0257948727233909 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0014009533338011 1
 
1.0%
0.001877566323651 1
 
1.0%
0.0022415253340819 1
 
1.0%
0.0026574784888599 1
 
1.0%
0.0028019066676023 1
 
1.0%
0.0033738422554222 1
 
1.0%
0.0037435783930027 1
 
1.0%
0.0037963978412285 2
 
2.0%
0.0044628307231398 1
 
1.0%
ValueCountFrequency (%)
2.71657849960137 1
1.0%
1.1311614959104 1
1.0%
0.170794987053601 1
1.0%
0.159471817840198 1
1.0%
0.15621351812777 1
1.0%
0.117824508218042 1
1.0%
0.116027821674487 1
1.0%
0.114571985632764 1
1.0%
0.103895854660126 1
1.0%
0.0993830930523352 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03020342
Minimum0
Maximum1.1280137
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:13.897551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00073015159
median0.0082537758
Q30.025551308
95-th percentile0.049721674
Maximum1.1280137
Range1.1280137
Interquartile range (IQR)0.024821156

Descriptive statistics

Standard deviation0.12098263
Coefficient of variation (CV)4.0055936
Kurtosis71.540055
Mean0.03020342
Median Absolute Deviation (MAD)0.0082537758
Skewness8.1890983
Sum3.020342
Variance0.014636796
MonotonicityNot monotonic
2023-12-10T20:20:14.232575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0015763906475384 2
 
2.0%
0.0054454016063883 2
 
2.0%
0.001400931514595 1
 
1.0%
0.0124380649026976 1
 
1.0%
0.0019970470648979 1
 
1.0%
0.0217576178722212 1
 
1.0%
0.026639288475305 1
 
1.0%
0.0278147275885783 1
 
1.0%
0.0107108890627859 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0005817224183035 1
 
1.0%
0.0007796279832934 1
 
1.0%
0.0009307558692857 1
 
1.0%
0.0011034734532769 1
 
1.0%
0.0011634448366072 1
 
1.0%
0.001400931514595 1
 
1.0%
0.0015544582559205 1
 
1.0%
0.0015763906475384 2
 
2.0%
0.0018531157449052 1
 
1.0%
ValueCountFrequency (%)
1.12801374333568 1
1.0%
0.469695874242658 1
1.0%
0.0709197590710417 1
1.0%
0.0662180026179487 1
1.0%
0.0648650482100178 1
1.0%
0.0489246545208326 1
1.0%
0.0481786105122041 1
1.0%
0.047574098968235 1
1.0%
0.0431410143124616 1
1.0%
0.041267165603605 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.6571
Minimum0
Maximum412.54
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:14.917408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5625
median11.945
Q334.9625
95-th percentile80.529
Maximum412.54
Range412.54
Interquartile range (IQR)34.4

Descriptive statistics

Standard deviation59.459236
Coefficient of variation (CV)2.0748518
Kurtosis29.921298
Mean28.6571
Median Absolute Deviation (MAD)11.945
Skewness5.1137568
Sum2865.71
Variance3535.4008
MonotonicityNot monotonic
2023-12-10T20:20:15.224730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.6 3
 
3.0%
1.47 2
 
2.0%
12.46 2
 
2.0%
1.8 1
 
1.0%
6.4 1
 
1.0%
37.33 1
 
1.0%
16.68 1
 
1.0%
17.28 1
 
1.0%
27.38 1
 
1.0%
Other values (63) 63
63.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.45 1
 
1.0%
0.6 3
 
3.0%
0.74 1
 
1.0%
1.47 2
 
2.0%
1.8 1
 
1.0%
2.28 1
 
1.0%
2.58 1
 
1.0%
2.66 1
 
1.0%
2.97 1
 
1.0%
ValueCountFrequency (%)
412.54 1
1.0%
386.86 1
1.0%
144.48 1
1.0%
97.79 1
1.0%
90.39 1
1.0%
80.01 1
1.0%
79.08 1
1.0%
73.92 1
1.0%
71.44 1
1.0%
70.36 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.40036286
Minimum0
Maximum5.4479891
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:15.619877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0081711912
median0.17100075
Q30.45130444
95-th percentile1.2691052
Maximum5.4479891
Range5.4479891
Interquartile range (IQR)0.44313325

Descriptive statistics

Standard deviation0.80736984
Coefficient of variation (CV)2.0165953
Kurtosis26.306726
Mean0.40036286
Median Absolute Deviation (MAD)0.17100075
Skewness4.7757269
Sum40.036286
Variance0.65184605
MonotonicityNot monotonic
2023-12-10T20:20:15.899387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.016639516709232 2
 
2.0%
0.246819497853608 2
 
2.0%
0.0142624428936274 1
 
1.0%
0.126777270165577 1
 
1.0%
0.0255535435177491 1
 
1.0%
0.739468046137654 1
 
1.0%
0.330413260369035 1
 
1.0%
0.342298629447058 1
 
1.0%
0.542369008927109 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0059426845390114 1
 
1.0%
0.0089140268085171 1
 
1.0%
0.0095082952624182 1
 
1.0%
0.0117268974903159 1
 
1.0%
0.0118853690780228 1
 
1.0%
0.0142624428936274 1
 
1.0%
0.016639516709232 2
 
2.0%
0.0210767211650272 1
 
1.0%
0.0225822012482434 1
 
1.0%
ValueCountFrequency (%)
5.44798906605282 1
1.0%
5.1088598683599 1
1.0%
2.38737446880552 1
1.0%
1.90799791599193 1
1.0%
1.29141138015539 1
1.0%
1.26793117324348 1
1.0%
0.895138082561948 1
1.0%
0.893462811491903 1
1.0%
0.892828925141075 1
1.0%
0.878566482247448 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.058381371
Minimum0
Maximum0.79443201
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:16.139846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0011915325
median0.024935525
Q30.065809731
95-th percentile0.18506237
Maximum0.79443201
Range0.79443201
Interquartile range (IQR)0.064618199

Descriptive statistics

Standard deviation0.1177316
Coefficient of variation (CV)2.0165953
Kurtosis26.306726
Mean0.058381371
Median Absolute Deviation (MAD)0.024935525
Skewness4.7757269
Sum5.8381371
Variance0.013860728
MonotonicityNot monotonic
2023-12-10T20:20:16.437466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0024263934028721 2
 
2.0%
0.0359915021426037 2
 
2.0%
0.0020797657738904 1
 
1.0%
0.018486806879026 1
 
1.0%
0.0037262470115536 1
 
1.0%
0.107830078249069 1
 
1.0%
0.0481812404284615 1
 
1.0%
0.0499143785733702 1
 
1.0%
0.079088870679333 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0008665690724543 1
 
1.0%
0.0012998536086815 1
 
1.0%
0.0013865105159269 1
 
1.0%
0.0017100296363099 1
 
1.0%
0.0017331381449086 1
 
1.0%
0.0020797657738904 1
 
1.0%
0.0024263934028721 2
 
2.0%
0.003073431643638 1
 
1.0%
0.0032929624753265 1
 
1.0%
ValueCountFrequency (%)
0.794432011445144 1
1.0%
0.744979803043749 1
1.0%
0.348129682040658 1
1.0%
0.278226443529341 1
1.0%
0.188315087989578 1
1.0%
0.184891177298859 1
1.0%
0.13053006142798 1
1.0%
0.130285771479936 1
1.0%
0.13019333744554 1
1.0%
0.12811357167165 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.024241887
Minimum0
Maximum0.32987459
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:16.775415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00049476391
median0.010354059
Q30.027326389
95-th percentile0.076844052
Maximum0.32987459
Range0.32987459
Interquartile range (IQR)0.026831625

Descriptive statistics

Standard deviation0.048886074
Coefficient of variation (CV)2.0165953
Kurtosis26.306726
Mean0.024241887
Median Absolute Deviation (MAD)0.010354059
Skewness4.7757269
Sum2.4241887
Variance0.0023898482
MonotonicityNot monotonic
2023-12-10T20:20:17.039960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0010075192399485 2
 
2.0%
0.0149448687259028 2
 
2.0%
0.0008635879199558 1
 
1.0%
0.0076763370662743 1
 
1.0%
0.0015472616899209 1
 
1.0%
0.044774634794378 1
 
1.0%
0.0200064534789774 1
 
1.0%
0.0207261100789406 1
 
1.0%
0.0328403295116547 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0003598282999816 1
 
1.0%
0.0005397424499724 1
 
1.0%
0.0005757252799705 1
 
1.0%
0.0007100611786303 1
 
1.0%
0.0007196565999632 1
 
1.0%
0.0008635879199558 1
 
1.0%
0.0010075192399485 2
 
2.0%
0.0012761910372681 1
 
1.0%
0.0013673475399301 1
 
1.0%
ValueCountFrequency (%)
0.32987459305425 1
1.0%
0.309340391401966 1
1.0%
0.144555022379278 1
1.0%
0.115528872847428 1
1.0%
0.0781946876782254 1
1.0%
0.0767729660840758 1
1.0%
0.054200422785801 1
1.0%
0.0540989854745681 1
1.0%
0.0540606037892367 1
1.0%
0.0531970158692809 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2522
Minimum0
Maximum225.16
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:17.301988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0625
median1.4
Q33.69
95-th percentile8.5205
Maximum225.16
Range225.16
Interquartile range (IQR)3.6275

Descriptive statistics

Standard deviation24.065138
Coefficient of variation (CV)4.5819158
Kurtosis73.483913
Mean5.2522
Median Absolute Deviation (MAD)1.4
Skewness8.3289599
Sum525.22
Variance579.13087
MonotonicityNot monotonic
2023-12-10T20:20:17.563042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.07 3
 
3.0%
0.24 2
 
2.0%
3.78 2
 
2.0%
1.4 2
 
2.0%
0.16 2
 
2.0%
0.85 2
 
2.0%
1.65 2
 
2.0%
4.07 1
 
1.0%
3.56 1
 
1.0%
Other values (59) 59
59.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.04 1
 
1.0%
0.07 3
 
3.0%
0.08 1
 
1.0%
0.16 2
 
2.0%
0.21 1
 
1.0%
0.22 1
 
1.0%
0.24 2
 
2.0%
0.28 1
 
1.0%
0.4 1
 
1.0%
ValueCountFrequency (%)
225.16 1
1.0%
91.15 1
1.0%
12.51 1
1.0%
10.11 1
1.0%
9.1 1
1.0%
8.49 1
1.0%
7.69 1
1.0%
7.64 1
1.0%
6.31 1
1.0%
6.26 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.071336372
Minimum0
Maximum2.9734552
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:17.899376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00076759675
median0.019511814
Q30.044492313
95-th percentile0.10570055
Maximum2.9734552
Range2.9734552
Interquartile range (IQR)0.043724716

Descriptive statistics

Standard deviation0.3178736
Coefficient of variation (CV)4.4559822
Kurtosis73.201097
Mean0.071336372
Median Absolute Deviation (MAD)0.019511814
Skewness8.3048552
Sum7.1336372
Variance0.10104363
MonotonicityNot monotonic
2023-12-10T20:20:18.144953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0427873286808822 2
 
2.0%
0.0277325278487199 2
 
2.0%
0.0023770738156045 2
 
2.0%
0.0018111038595082 2
 
2.0%
0.0096214892536375 2
 
2.0%
0.0499185501276959 2
 
2.0%
0.0326847649645628 2
 
2.0%
0.0344675703262662 1
 
1.0%
0.0196108589787377 1
 
1.0%
Other values (60) 60
60.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0006933131962179 1
 
1.0%
0.0007923579385348 1
 
1.0%
0.0011093011139488 1
 
1.0%
0.0012677727016557 1
 
1.0%
0.001386626392436 1
 
1.0%
0.0016639516709232 1
 
1.0%
0.0017431874647766 1
 
1.0%
0.0018111038595082 2
 
2.0%
0.0023770738156045 2
 
2.0%
ValueCountFrequency (%)
2.97345522400847 1
1.0%
1.20372376829087 1
1.0%
0.165206630184517 1
1.0%
0.160214775171748 1
1.0%
0.156886871829901 1
1.0%
0.103006532009531 1
1.0%
0.101553875788884 1
1.0%
0.0999955718430988 1
1.0%
0.0992032139045639 1
1.0%
0.0961016985451561 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010402352
Minimum0
Maximum0.43359265
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:18.395710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00011193184
median0.0028452351
Q30.0064879201
95-th percentile0.015413375
Maximum0.43359265
Range0.43359265
Interquartile range (IQR)0.0063759883

Descriptive statistics

Standard deviation0.046352693
Coefficient of variation (CV)4.4559822
Kurtosis73.201097
Mean0.010402352
Median Absolute Deviation (MAD)0.0028452351
Skewness8.3048552
Sum1.0402352
Variance0.0021485722
MonotonicityNot monotonic
2023-12-10T20:20:18.686713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0062392973216712 2
 
2.0%
0.0040439890047869 2
 
2.0%
0.0003466276289817 2
 
2.0%
0.0002640972411289 2
 
2.0%
0.0014030165934975 2
 
2.0%
0.0072791802086164 2
 
2.0%
0.0047661298984988 2
 
2.0%
0.0050261006202351 1
 
1.0%
0.0028596779390993 1
 
1.0%
Other values (60) 60
60.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0001010997251196 1
 
1.0%
0.0001155425429939 1
 
1.0%
0.0001617595601914 1
 
1.0%
0.0001848680687902 1
 
1.0%
0.0002021994502393 1
 
1.0%
0.0002426393402872 1
 
1.0%
0.0002541935945866 1
 
1.0%
0.0002640972411289 2
 
2.0%
0.0003466276289817 2
 
2.0%
ValueCountFrequency (%)
0.433592649675155 1
1.0%
0.175528379898252 1
1.0%
0.0240906202142307 1
1.0%
0.0233627021933691 1
1.0%
0.0228774235127947 1
1.0%
0.0150205305892086 1
1.0%
0.0148087025937198 1
1.0%
0.0145814689258317 1
1.0%
0.0144659263828378 1
1.0%
0.0140136598574045 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0043194023
Minimum0
Maximum0.18004209
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:18.991775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.6477822 × 10-5
median0.0011814363
Q30.0026940002
95-th percentile0.006400146
Maximum0.18004209
Range0.18004209
Interquartile range (IQR)0.0026475224

Descriptive statistics

Standard deviation0.01924718
Coefficient of variation (CV)4.4559822
Kurtosis73.201097
Mean0.0043194023
Median Absolute Deviation (MAD)0.0011814363
Skewness8.3048552
Sum0.43194023
Variance0.00037045394
MonotonicityNot monotonic
2023-12-10T20:20:19.248757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.0025907637598675 2
 
2.0%
0.0016791987332475 2
 
2.0%
0.0001439313199926 2
 
2.0%
0.0001096619580896 2
 
2.0%
0.0005825791523511 2
 
2.0%
0.0030225577198455 2
 
2.0%
0.0019790556498988 2
 
2.0%
0.0020870041398933 1
 
1.0%
0.0011874333899393 1
 
1.0%
Other values (60) 60
60.0%
ValueCountFrequency (%)
0.0 24
24.0%
4.19799683311876e-05 1
 
1.0%
4.79771066642144e-05 1
 
1.0%
6.71679493299001e-05 1
 
1.0%
7.6763370662743e-05 1
 
1.0%
8.39599366623751e-05 1
 
1.0%
0.0001007519239948 1
 
1.0%
0.0001055496346612 1
 
1.0%
0.0001096619580896 2
 
2.0%
0.0001439313199926 2
 
2.0%
ValueCountFrequency (%)
0.180042088941908 1
1.0%
0.0728852212073857 1
1.0%
0.0100032267394887 1
1.0%
0.0097009709675041 1
1.0%
0.0094994671195144 1
1.0%
0.0062370238663478 1
1.0%
0.0061490658374634 1
1.0%
0.0060547108610238 1
1.0%
0.0060067337543596 1
1.0%
0.0058189376511311 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4441
Minimum0
Maximum19.31
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:19.571847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.295
Q31.8525
95-th percentile6.4625
Maximum19.31
Range19.31
Interquartile range (IQR)1.8525

Descriptive statistics

Standard deviation2.776207
Coefficient of variation (CV)1.9224479
Kurtosis19.085987
Mean1.4441
Median Absolute Deviation (MAD)0.295
Skewness3.8514
Sum144.41
Variance7.7073254
MonotonicityNot monotonic
2023-12-10T20:20:19.876989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
38.0%
0.21 4
 
4.0%
0.12 3
 
3.0%
0.11 3
 
3.0%
0.63 2
 
2.0%
1.21 1
 
1.0%
0.96 1
 
1.0%
3.46 1
 
1.0%
1.86 1
 
1.0%
0.75 1
 
1.0%
Other values (45) 45
45.0%
ValueCountFrequency (%)
0.0 38
38.0%
0.1 1
 
1.0%
0.11 3
 
3.0%
0.12 3
 
3.0%
0.21 4
 
4.0%
0.24 1
 
1.0%
0.35 1
 
1.0%
0.42 1
 
1.0%
0.45 1
 
1.0%
0.58 1
 
1.0%
ValueCountFrequency (%)
19.31 1
1.0%
11.94 1
1.0%
9.88 1
1.0%
7.83 1
1.0%
6.51 1
1.0%
6.46 1
1.0%
5.47 1
1.0%
4.69 1
1.0%
4.33 1
1.0%
3.46 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.019748144
Minimum0
Maximum0.2550072
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:20.197690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.0041598792
Q30.026525125
95-th percentile0.085937821
Maximum0.2550072
Range0.2550072
Interquartile range (IQR)0.026525125

Descriptive statistics

Standard deviation0.037537274
Coefficient of variation (CV)1.9008001
Kurtosis17.749634
Mean0.019748144
Median Absolute Deviation (MAD)0.0041598792
Skewness3.7673988
Sum1.9748144
Variance0.001409047
MonotonicityNot monotonic
2023-12-10T20:20:20.563639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
38.0%
0.0041598791773079 3
 
3.0%
0.0013583278946311 2
 
2.0%
0.012479637531924 2
 
2.0%
0.0010894921654854 2
 
2.0%
0.0111920558818048 1
 
1.0%
0.0023770738156045 1
 
1.0%
0.0108666231570494 1
 
1.0%
0.0391651209618657 1
 
1.0%
0.0210540823667833 1
 
1.0%
Other values (48) 48
48.0%
ValueCountFrequency (%)
0.0 38
38.0%
0.0007923579385348 1
 
1.0%
0.0010894921654854 2
 
2.0%
0.0013583278946311 2
 
2.0%
0.0021789843309708 1
 
1.0%
0.0023770738156045 1
 
1.0%
0.0027732527848719 1
 
1.0%
0.0031694317541394 1
 
1.0%
0.0035656107234068 1
 
1.0%
0.0041598791773079 3
 
3.0%
ValueCountFrequency (%)
0.255007196551801 1
1.0%
0.157679229768436 1
1.0%
0.144473264126189 1
1.0%
0.124083253174558 1
1.0%
0.0978562054090547 1
1.0%
0.0853105380489194 1
1.0%
0.0644781272482739 1
1.0%
0.049284663776868 1
1.0%
0.0479376552813588 1
1.0%
0.0464519841466059 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0028796971
Minimum0
Maximum0.037185442
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:20.839126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00060659835
Q30.0038679242
95-th percentile0.012531552
Maximum0.037185442
Range0.037185442
Interquartile range (IQR)0.0038679242

Descriptive statistics

Standard deviation0.0054737284
Coefficient of variation (CV)1.9008001
Kurtosis17.749634
Mean0.0028796971
Median Absolute Deviation (MAD)0.00060659835
Skewness3.7673988
Sum0.28796971
Variance2.9961702 × 10-5
MonotonicityNot monotonic
2023-12-10T20:20:21.146758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
38.0%
0.000606598350718 3
 
3.0%
0.0001980729308467 2
 
2.0%
0.0018197950521541 2
 
2.0%
0.0001588709966166 2
 
2.0%
0.001632038419789 1
 
1.0%
0.0003466276289817 1
 
1.0%
0.0015845834467736 1
 
1.0%
0.0057111028394133 1
 
1.0%
0.0030701304281239 1
 
1.0%
Other values (48) 48
48.0%
ValueCountFrequency (%)
0.0 38
38.0%
0.0001155425429939 1
 
1.0%
0.0001588709966166 2
 
2.0%
0.0001980729308467 2
 
2.0%
0.0003177419932332 1
 
1.0%
0.0003466276289817 1
 
1.0%
0.0004043989004786 1
 
1.0%
0.0004621701719756 1
 
1.0%
0.0005199414434726 1
 
1.0%
0.000606598350718 3
 
3.0%
ValueCountFrequency (%)
0.0371854417535408 1
1.0%
0.0229929660557886 1
1.0%
0.02106725700589 1
1.0%
0.0180939622328467 1
1.0%
0.0142695040597482 1
1.0%
0.0124400804623446 1
1.0%
0.0094022744361296 1
1.0%
0.0071867461742213 1
1.0%
0.0069903238511317 1
1.0%
0.0067736815830181 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001195746
Minimum0
Maximum0.015440632
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:21.433176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00025187981
Q30.0016060908
95-th percentile0.005203517
Maximum0.015440632
Range0.015440632
Interquartile range (IQR)0.0016060908

Descriptive statistics

Standard deviation0.0022728741
Coefficient of variation (CV)1.9008001
Kurtosis17.749634
Mean0.001195746
Median Absolute Deviation (MAD)0.00025187981
Skewness3.7673988
Sum0.1195746
Variance5.1659565 × 10-6
MonotonicityNot monotonic
2023-12-10T20:20:21.804698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 38
38.0%
0.0002518798099871 3
 
3.0%
8.22464685672246e-05 2
 
2.0%
0.0007556394299613 2
 
2.0%
6.59685216632947e-05 2
 
2.0%
0.000677676631632 1
 
1.0%
0.0001439313199926 1
 
1.0%
0.0006579717485377 1
 
1.0%
0.0023714398436883 1
 
1.0%
0.0012748202627919 1
 
1.0%
Other values (48) 48
48.0%
ValueCountFrequency (%)
0.0 38
38.0%
4.79771066642144e-05 1
 
1.0%
6.59685216632947e-05 2
 
2.0%
8.22464685672246e-05 2
 
2.0%
0.0001319370433265 1
 
1.0%
0.0001439313199926 1
 
1.0%
0.0001679198733247 1
 
1.0%
0.0001919084266568 1
 
1.0%
0.0002158969799889 1
 
1.0%
0.0002518798099871 3
 
3.0%
ValueCountFrequency (%)
0.015440632161433 1
1.0%
0.0095474442261786 1
1.0%
0.008747825781775 1
1.0%
0.0075132149036159 1
1.0%
0.0059251726730304 1
1.0%
0.005165535150847 1
1.0%
0.0039041370548004 1
1.0%
0.0029841760345141 1
1.0%
0.0029026149531849 1
1.0%
0.0028126578781895 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7697.3801
Minimum0
Maximum123997.85
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:22.049033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1316.2
median3635.485
Q39914.805
95-th percentile21214.279
Maximum123997.85
Range123997.85
Interquartile range (IQR)9598.605

Descriptive statistics

Standard deviation15546.586
Coefficient of variation (CV)2.0197244
Kurtosis37.767838
Mean7697.3801
Median Absolute Deviation (MAD)3635.485
Skewness5.6729944
Sum769738.01
Variance2.4169635 × 108
MonotonicityNot monotonic
2023-12-10T20:20:22.714007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
331.11 3
 
3.0%
832.1 2
 
2.0%
864.18 2
 
2.0%
993.33 1
 
1.0%
3531.84 1
 
1.0%
5898.96 1
 
1.0%
7579.73 1
 
1.0%
7910.84 1
 
1.0%
3336.59 1
 
1.0%
Other values (63) 63
63.0%
ValueCountFrequency (%)
0.0 24
24.0%
271.47 1
 
1.0%
331.11 3
 
3.0%
416.05 1
 
1.0%
832.1 2
 
2.0%
864.18 2
 
2.0%
993.33 1
 
1.0%
1174.09 1
 
1.0%
1414.35 1
 
1.0%
1565.07 1
 
1.0%
ValueCountFrequency (%)
123997.85 1
1.0%
86790.93 1
1.0%
22132.05 1
1.0%
21598.26 1
1.0%
21538.97 1
1.0%
21197.19 1
1.0%
18446.73 1
1.0%
17320.51 1
1.0%
16890.61 1
1.0%
16220.6 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.97028
Minimum0
Maximum1637.5113
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:22.985535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.7552322
median48.599967
Q3149.63514
95-th percentile286.8866
Maximum1637.5113
Range1637.5113
Interquartile range (IQR)144.87991

Descriptive statistics

Standard deviation207.87704
Coefficient of variation (CV)1.943316
Kurtosis35.247126
Mean106.97028
Median Absolute Deviation (MAD)48.599967
Skewness5.4198719
Sum10697.028
Variance43212.865
MonotonicityNot monotonic
2023-12-10T20:20:23.222914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
9.41887200935505 2
 
2.0%
17.1184970830763 2
 
2.0%
7.87072911084828 1
 
1.0%
69.9620365408736 1
 
1.0%
14.0083931295847 1
 
1.0%
116.852194627489 1
 
1.0%
150.14648093627 1
 
1.0%
156.705421861977 1
 
1.0%
66.0943393534003 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
3.27947046285345 1
 
1.0%
5.24715274056552 1
 
1.0%
5.37753523935143 1
 
1.0%
6.5589409257069 1
 
1.0%
6.59321040654853 1
 
1.0%
7.87072911084828 1
 
1.0%
9.41887200935505 2
 
2.0%
11.6287441506799 1
 
1.0%
12.4009563886275 1
 
1.0%
ValueCountFrequency (%)
1637.51134681257 1
1.0%
1146.15803963872 1
1.0%
350.730110271007 1
1.0%
342.271055390797 1
1.0%
335.915235422633 1
1.0%
284.306150015176 1
1.0%
274.480871959447 1
1.0%
243.606882591818 1
1.0%
231.122728619644 1
1.0%
226.676438459487 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.598528
Minimum0
Maximum238.78378
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:23.527004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.69341341
median7.086903
Q321.819968
95-th percentile41.834134
Maximum238.78378
Range238.78378
Interquartile range (IQR)21.126555

Descriptive statistics

Standard deviation30.312869
Coefficient of variation (CV)1.943316
Kurtosis35.247126
Mean15.598528
Median Absolute Deviation (MAD)7.086903
Skewness5.4198719
Sum1559.8528
Variance918.87001
MonotonicityNot monotonic
2023-12-10T20:20:23.811846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
1.37347071464621 2
 
2.0%
2.49623887011198 2
 
2.0%
1.14771874232143 1
 
1.0%
10.2019443761905 1
 
1.0%
2.042719946043 1
 
1.0%
17.0395209854842 1
 
1.0%
21.8945319851812 1
 
1.0%
22.850964270449 1
 
1.0%
9.63795233820145 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.478216142633929 1
 
1.0%
0.765145828214287 1
 
1.0%
0.784158353663935 1
 
1.0%
0.956432285267858 1
 
1.0%
0.961429500252345 1
 
1.0%
1.14771874232143 1
 
1.0%
1.37347071464621 2
 
2.0%
1.69571680379653 1
 
1.0%
1.80832167763482 1
 
1.0%
ValueCountFrequency (%)
238.783781912962 1
1.0%
167.134079350111 1
1.0%
51.1438667733684 1
1.0%
49.910357692874 1
1.0%
48.9835447385026 1
1.0%
41.4578487372815 1
1.0%
40.0251154270298 1
1.0%
35.5230349020349 1
1.0%
33.7025812573857 1
1.0%
33.0542181287935 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4770277
Minimum0
Maximum99.150968
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:24.036904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.28792831
median2.9427178
Q39.0603764
95-th percentile17.370924
Maximum99.150968
Range99.150968
Interquartile range (IQR)8.7724481

Descriptive statistics

Standard deviation12.586911
Coefficient of variation (CV)1.943316
Kurtosis35.247126
Mean6.4770277
Median Absolute Deviation (MAD)2.9427178
Skewness5.4198719
Sum647.70277
Variance158.43034
MonotonicityNot monotonic
2023-12-10T20:20:24.321658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
 
24.0%
0.570310720789897 2
 
2.0%
1.03652140092702 2
 
2.0%
0.47657099362764 1
 
1.0%
4.23618661002347 1
 
1.0%
0.848205260131645 1
 
1.0%
7.07537582819835 1
 
1.0%
9.09133786739864 1
 
1.0%
9.48848036208834 1
 
1.0%
4.00199835811877 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.19857124734485 1
 
1.0%
0.31771399575176 1
 
1.0%
0.325608628653357 1
 
1.0%
0.3971424946897 1
 
1.0%
0.399217504552928 1
 
1.0%
0.47657099362764 1
 
1.0%
0.570310720789897 2
 
2.0%
0.704118014542343 1
 
1.0%
0.75087530326962 1
 
1.0%
ValueCountFrequency (%)
99.1509679263875 1
1.0%
69.3996284349394 1
1.0%
21.2366344709545 1
1.0%
20.7244404756287 1
1.0%
20.3395969122324 1
1.0%
17.2146776364634 1
1.0%
16.6197591149718 1
1.0%
14.7503455469327 1
1.0%
13.9944326474634 1
1.0%
13.725210712654 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5824
Minimum0
Maximum16.6
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:24.577527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.805
Q31.6675
95-th percentile5.7005
Maximum16.6
Range16.6
Interquartile range (IQR)1.6375

Descriptive statistics

Standard deviation2.5393167
Coefficient of variation (CV)1.6047249
Kurtosis14.053729
Mean1.5824
Median Absolute Deviation (MAD)0.805
Skewness3.3030884
Sum158.24
Variance6.4481295
MonotonicityNot monotonic
2023-12-10T20:20:24.924383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.03 4
 
4.0%
0.79 3
 
3.0%
1.05 2
 
2.0%
1.24 2
 
2.0%
0.09 2
 
2.0%
0.45 2
 
2.0%
2.87 2
 
2.0%
0.56 2
 
2.0%
0.08 1
 
1.0%
Other values (56) 56
56.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.03 4
 
4.0%
0.04 1
 
1.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.22 1
 
1.0%
0.27 1
 
1.0%
0.28 1
 
1.0%
0.29 1
 
1.0%
0.32 1
 
1.0%
ValueCountFrequency (%)
16.6 1
1.0%
10.96 1
1.0%
9.38 1
1.0%
8.77 1
1.0%
6.09 1
1.0%
5.68 1
1.0%
5.42 1
1.0%
4.96 1
1.0%
4.32 1
1.0%
4.14 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.021012446
Minimum0
Maximum0.16441427
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:25.263912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00043084463
median0.011093011
Q30.029119154
95-th percentile0.072018734
Maximum0.16441427
Range0.16441427
Interquartile range (IQR)0.02868831

Descriptive statistics

Standard deviation0.030044826
Coefficient of variation (CV)1.4298586
Kurtosis7.7952399
Mean0.021012446
Median Absolute Deviation (MAD)0.011093011
Skewness2.5519765
Sum2.1012446
Variance0.00090269155
MonotonicityNot monotonic
2023-12-10T20:20:25.585954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0156490692860634 4
 
4.0%
0.0006338863508278 2
 
2.0%
0.0454813456719007 2
 
2.0%
0.0162433377399645 2
 
2.0%
0.0010187459209733 2
 
2.0%
0.011093011139488 2
 
2.0%
0.0005942684539011 2
 
2.0%
0.0386274495035742 1
 
1.0%
0.0340713913569988 1
 
1.0%
Other values (58) 58
58.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.0002971342269505 1
 
1.0%
0.0004754147631209 1
 
1.0%
0.0005942684539011 2
 
2.0%
0.0006338863508278 2
 
2.0%
0.0010187459209733 2
 
2.0%
0.0021789843309708 1
 
1.0%
0.0027732527848719 1
 
1.0%
0.0029317243725789 1
 
1.0%
0.0030562377629201 1
 
1.0%
ValueCountFrequency (%)
0.164414272245983 1
1.0%
0.138979582419014 1
1.0%
0.123871957724282 1
1.0%
0.108553037579275 1
1.0%
0.0804243307612878 1
1.0%
0.0715763337809819 1
1.0%
0.0655015895855481 1
1.0%
0.0644979361967372 1
1.0%
0.0562574136359747 1
1.0%
0.054672697758905 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0030640589
Minimum0
Maximum0.023975078
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:25.884793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.2826258 × 10-5
median0.0016175956
Q30.0042461885
95-th percentile0.010501854
Maximum0.023975078
Range0.023975078
Interquartile range (IQR)0.0041833622

Descriptive statistics

Standard deviation0.0043811709
Coefficient of variation (CV)1.4298586
Kurtosis7.7952399
Mean0.0030640589
Median Absolute Deviation (MAD)0.0016175956
Skewness2.5519765
Sum0.30640589
Variance1.9194659 × 10-5
MonotonicityNot monotonic
2023-12-10T20:20:26.148431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0022819652241297 4
 
4.0%
9.24340343951299e-05 2
 
2.0%
0.0066321419678505 2
 
2.0%
0.0023686221313752 2
 
2.0%
0.000148554698135 2
 
2.0%
0.0016175956019147 2
 
2.0%
8.66569072454343e-05 2
 
2.0%
0.0056326989709532 1
 
1.0%
0.0049683293487382 1
 
1.0%
Other values (58) 58
58.0%
ValueCountFrequency (%)
0.0 24
24.0%
4.33284536227171e-05 1
 
1.0%
6.93255257963474e-05 1
 
1.0%
8.66569072454343e-05 2
 
2.0%
9.24340343951299e-05 2
 
2.0%
0.000148554698135 2
 
2.0%
0.0003177419932332 1
 
1.0%
0.0004043989004786 1
 
1.0%
0.0004275074090774 1
 
1.0%
0.000445664094405 1
 
1.0%
ValueCountFrequency (%)
0.0239750776712368 1
1.0%
0.0202661620411322 1
1.0%
0.0180631508880483 1
1.0%
0.015829328390166 1
1.0%
0.0117275681138821 1
1.0%
0.0104373430504501 1
1.0%
0.0095515168874967 1
1.0%
0.0094051629997044 1
1.0%
0.0082035205525677 1
1.0%
0.0079724354665799 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0012722992
Minimum0
Maximum0.0099552496
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:26.386901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6087552 × 10-5
median0.00067167949
Q30.0017631587
95-th percentile0.0043607192
Maximum0.0099552496
Range0.0099552496
Interquartile range (IQR)0.0017370711

Descriptive statistics

Standard deviation0.0018192079
Coefficient of variation (CV)1.4298586
Kurtosis7.7952399
Mean0.0012722992
Median Absolute Deviation (MAD)0.00067167949
Skewness2.5519765
Sum0.12722992
Variance3.3095173 × 10-6
MonotonicityNot monotonic
2023-12-10T20:20:26.682344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0009475478566182 4
 
4.0%
3.83816853313715e-05 2
 
2.0%
0.0027538859225259 2
 
2.0%
0.0009835306866163 2
 
2.0%
6.16848514254185e-05 2
 
2.0%
0.000671679493299 2
 
2.0%
3.59828299981608e-05 2
 
2.0%
0.0023388839498804 1
 
1.0%
0.0020630155865612 1
 
1.0%
Other values (58) 58
58.0%
ValueCountFrequency (%)
0.0 24
24.0%
1.79914149990804e-05 1
 
1.0%
2.87862639985286e-05 1
 
1.0%
3.59828299981608e-05 2
 
2.0%
3.83816853313715e-05 2
 
2.0%
6.16848514254185e-05 2
 
2.0%
0.0001319370433265 1
 
1.0%
0.0001679198733247 1
 
1.0%
0.0001775152946575 1
 
1.0%
0.0001850545542762 1
 
1.0%
ValueCountFrequency (%)
0.0099552496328244 1
1.0%
0.0084151845089032 1
1.0%
0.0075004210085055 1
1.0%
0.0065728636129973 1
1.0%
0.0048696763264177 1
1.0%
0.0043339319686673 1
1.0%
0.0039661074842417 1
1.0%
0.003905336482467 1
1.0%
0.0034063745731592 1
1.0%
0.0033104203598307 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6963
Minimum0
Maximum7.3
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:27.122782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.355
Q30.73
95-th percentile2.509
Maximum7.3
Range7.3
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation1.1171597
Coefficient of variation (CV)1.6044229
Kurtosis14.030261
Mean0.6963
Median Absolute Deviation (MAD)0.355
Skewness3.3008992
Sum69.63
Variance1.2480458
MonotonicityNot monotonic
2023-12-10T20:20:27.449126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.01 4
 
4.0%
0.04 3
 
3.0%
0.35 3
 
3.0%
0.2 3
 
3.0%
0.12 2
 
2.0%
0.7 2
 
2.0%
0.72 2
 
2.0%
0.25 2
 
2.0%
1.26 2
 
2.0%
Other values (52) 53
53.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.01 4
 
4.0%
0.02 1
 
1.0%
0.04 3
 
3.0%
0.1 1
 
1.0%
0.12 2
 
2.0%
0.13 1
 
1.0%
0.14 1
 
1.0%
0.15 1
 
1.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
7.3 1
1.0%
4.82 1
1.0%
4.13 1
1.0%
3.86 1
1.0%
2.68 1
1.0%
2.5 1
1.0%
2.39 1
1.0%
2.18 1
1.0%
1.9 1
1.0%
1.82 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0092471379
Minimum0
Maximum0.072302662
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:27.783050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00014361488
median0.0049522371
Q30.012809787
95-th percentile0.031753744
Maximum0.072302662
Range0.072302662
Interquartile range (IQR)0.012666172

Descriptive statistics

Standard deviation0.013219431
Coefficient of variation (CV)1.42957
Kurtosis7.7883211
Mean0.0092471379
Median Absolute Deviation (MAD)0.0049522371
Skewness2.5512095
Sum0.92471379
Variance0.00017475335
MonotonicityNot monotonic
2023-12-10T20:20:28.211663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0069331319621799 5
 
5.0%
0.0003169431754139 2
 
2.0%
0.0199674200510784 2
 
2.0%
0.0071312214468137 2
 
2.0%
0.0049522371158428 2
 
2.0%
0.0001980894846337 2
 
2.0%
0.0039617896926742 2
 
2.0%
0.000452775964877 2
 
2.0%
0.0093498236747112 2
 
2.0%
Other values (55) 55
55.0%
ValueCountFrequency (%)
0.0 24
24.0%
9.90447423168569e-05 1
 
1.0%
0.0001584715877069 1
 
1.0%
0.0001980894846337 2
 
2.0%
0.0003169431754139 2
 
2.0%
0.000452775964877 2
 
2.0%
0.0009904474231685 1
 
1.0%
0.0011885369078022 1
 
1.0%
0.0012677727016557 1
 
1.0%
0.0013583278946311 1
 
1.0%
ValueCountFrequency (%)
0.0723026618913056 1
1.0%
0.0611700328548908 1
1.0%
0.0545406381024825 1
1.0%
0.047739565796725 1
1.0%
0.0353919879212235 1
1.0%
0.0315622578849717 1
1.0%
0.0287890051000997 1
1.0%
0.0283664141995478 1
1.0%
0.0247611855792142 1
1.0%
0.0240348574688906 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0013484282
Minimum0
Maximum0.010543257
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:28.520334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.0942086 × 10-5
median0.00072214089
Q30.0018679378
95-th percentile0.0046303674
Maximum0.010543257
Range0.010543257
Interquartile range (IQR)0.0018469957

Descriptive statistics

Standard deviation0.0019276725
Coefficient of variation (CV)1.42957
Kurtosis7.7883211
Mean0.0013484282
Median Absolute Deviation (MAD)0.00072214089
Skewness2.5512095
Sum0.13484282
Variance3.7159214 × 10-6
MonotonicityNot monotonic
2023-12-10T20:20:28.811681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0010109972511967 5
 
5.0%
4.6217017197565e-05 2
 
2.0%
0.0029116720834465 2
 
2.0%
0.0010398828869452 2
 
2.0%
0.0007221408937119 2
 
2.0%
2.88856357484781e-05 2
 
2.0%
0.0005777127149695 2
 
2.0%
6.60243102822356e-05 2
 
2.0%
0.0013634020073281 2
 
2.0%
Other values (55) 55
55.0%
ValueCountFrequency (%)
0.0 24
24.0%
1.4442817874239e-05 1
 
1.0%
2.31085085987825e-05 1
 
1.0%
2.88856357484781e-05 2
 
2.0%
4.6217017197565e-05 2
 
2.0%
6.60243102822356e-05 2
 
2.0%
0.0001444281787423 1
 
1.0%
0.0001733138144908 1
 
1.0%
0.0001848680687902 1
 
1.0%
0.0001980729308467 1
 
1.0%
ValueCountFrequency (%)
0.0105432570481945 1
1.0%
0.00891988431913 1
1.0%
0.0079531783760809 1
1.0%
0.0069614382153832 1
1.0%
0.005160900253728 1
1.0%
0.0046024446292575 1
1.0%
0.0041980457287788 1
1.0%
0.004136423039182 1
1.0%
0.0036107044685597 1
1.0%
0.0035047904708153 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00055991225
Minimum0
Maximum0.004377911
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:20:29.083804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.6958506 × 10-6
median0.00029985692
Q30.00077562989
95-th percentile0.0019226825
Maximum0.004377911
Range0.004377911
Interquartile range (IQR)0.00076693404

Descriptive statistics

Standard deviation0.00080043375
Coefficient of variation (CV)1.42957
Kurtosis7.7883211
Mean0.00055991225
Median Absolute Deviation (MAD)0.00029985692
Skewness2.5512095
Sum0.055991225
Variance6.4069419 × 10-7
MonotonicityNot monotonic
2023-12-10T20:20:29.371352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 24
24.0%
0.0004197996833118 5
 
5.0%
1.91908426656857e-05 2
 
2.0%
0.0012090230879382 2
 
2.0%
0.0004317939599779 2
 
2.0%
0.0002998569166513 2
 
2.0%
1.19942766660536e-05 2
 
2.0%
0.000239885533321 2
 
2.0%
2.74154895224082e-05 2
 
2.0%
0.0005661298586377 2
 
2.0%
Other values (55) 55
55.0%
ValueCountFrequency (%)
0.0 24
24.0%
5.99713833302679e-06 1
 
1.0%
9.59542133284287e-06 1
 
1.0%
1.19942766660536e-05 2
 
2.0%
1.91908426656857e-05 2
 
2.0%
2.74154895224082e-05 2
 
2.0%
5.99713833302679e-05 1
 
1.0%
7.19656599963215e-05 1
 
1.0%
7.6763370662743e-05 1
 
1.0%
8.22464685672246e-05 1
 
1.0%
ValueCountFrequency (%)
0.0043779109831095 1
1.0%
0.0037038326344773 1
1.0%
0.0033024241753867 1
1.0%
0.0028906206765189 1
1.0%
0.0021429774310015 1
1.0%
0.0019110880821245 1
1.0%
0.0017431682087997 1
1.0%
0.0017175804185788 1
1.0%
0.0014992845832567 1
1.0%
0.0014553055688145 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-활천IC53.420201101096.035.681944129.1811110.22545서1.02.920.0231370.0033740.0014011.80.0142620.002080.0008640.210.0016640.0002430.0001010.00.00.00.0993.337.8707291.1477190.4765710.080.0006340.0000920.0000380.040.0003170.0000460.000019
12도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420201101099.535.681944129.1811110.22545서1.014.320.1134660.0165460.006879.920.0786020.0114620.0047591.10.0087160.0012710.0005280.350.0027730.0004040.0001685053.840.0441855.8392892.4246670.870.0068940.0010050.0004170.380.0030110.0004390.000182
23도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420201101083.035.681944129.1811110.22545서1.011.840.0938150.013680.0056832.840.260210.0379440.0157563.10.0245630.0035820.0014871.940.0153720.0022420.0009313739.1329.6272934.3202861.7939261.050.008320.0012130.0005040.460.0036450.0005310.000221
34도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202011010142.535.681944129.1811110.19158서1.03.240.0256720.0037440.0015542.660.0210770.0030730.0012760.220.0017430.0002540.0001060.10.0007920.0001160.0000481565.0712.4009561.8083220.7508750.370.0029320.0004280.0001780.160.0012680.0001850.000077
45도로공사A-0010-0538E-6울산 울주군 두서면 활천리S2활천IC-언양JC53.4202011010104.035.681944129.1811110.19158서1.016.590.1314520.0191690.00795914.270.1130690.0164880.0068461.310.010380.0015140.0006290.450.0035660.000520.0002166099.548.3298727.0475172.9263641.120.0088740.0012940.0005370.490.0038830.0005660.000235
56도로공사A-0010-0538E-6울산 울주군 두서면 활천리S3활천IC-언양JC53.420201101085.535.681944129.1811110.19158서1.022.880.1812910.0264360.01097773.920.5857110.0854090.0354657.640.0605360.0088270.0036654.330.0343090.0050030.0020776606.1452.3442757.6329023.1694352.680.0212350.0030970.0012861.180.009350.0013630.000566
67도로공사A-0010-1185E-8대구 동구 안심3동E1경산IC-동대구JC118.5202011010103.035.904732128.5614720.166426남서0.72.30.0260350.0037960.0015761.470.016640.0024260.0010080.160.0018110.0002640.000110.00.00.00.0832.19.4188721.3734710.5703110.090.0010190.0001490.0000620.040.0004530.0000660.000027
78도로공사A-0010-1185E-8대구 동구 안심3동E2경산IC-동대구JC118.520201101092.535.904732128.5614720.166426남서0.711.60.1313050.0191470.007957.430.0841030.0122640.0050920.850.0096210.0014030.0005830.120.0013580.0001980.0000823971.0444.9497876.5546292.72170.450.0050940.0007430.0003080.20.0022640.000330.000137
89도로공사A-0010-1185E-8대구 동구 안심3동E3경산IC-동대구JC118.520201101098.535.904732128.5614720.166426남서0.79.640.1091190.0159120.0066076.310.0714250.0104150.0043250.710.0080370.0011720.0004870.120.0013580.0001980.0000823340.1537.8084915.5132772.2892960.430.0048670.000710.0002950.190.0021510.0003140.00013
910도로공사A-0010-1185E-8대구 동구 안심3동E4경산IC-동대구JC118.520201101083.035.904732128.5614720.166426남서0.712.470.1411530.0205830.00854734.00.384860.0561210.0233033.240.0366750.0053480.0022212.30.0260350.0037960.0015764022.2145.5296.6390912.7567711.460.0165260.002410.0010010.640.0072440.0010560.000439
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-0010-3801E-10경기 화성시 동탄면 송리S4동탄JC-오산IC380.120201101085.037.158778127.0883330.671977남0.549.580.7857020.1145720.04757447.980.7603470.1108750.0460396.310.0999960.0145810.0060553.110.0492850.0071870.00298413604.09215.58617431.43702313.0536982.970.0470660.0068630.002851.310.020760.0030270.001257
9192도로공사A-0010-3801E-10경기 화성시 동탄면 송리S5동탄JC-오산IC380.1202011010104.037.158778127.0883330.671977남0.51.150.0182240.0026570.0011030.740.0117270.001710.000710.080.0012680.0001850.0000770.00.00.00.0416.056.593210.961430.3992180.040.0006340.0000920.0000380.020.0003170.0000460.000019
9293도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E1기흥IC-수원신갈IC388.02020110100.037.226111127.108333-0.55276남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9394도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E2기흥IC-수원신갈IC388.020201101020.6737.226111127.108333-0.55276남0.61410.6918.6295242.7165781.128014386.865.108860.744980.30934225.162.9734550.4335930.1800420.580.0076590.0011170.000464123997.851637.511347238.78378299.1509681.220.0161110.0023490.0009760.530.0069990.0010210.000424
9495도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E3기흥IC-수원신갈IC388.02020110100.037.226111127.108333-0.55276남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9596도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E4기흥IC-수원신갈IC388.020201101039.2937.226111127.108333-0.55276남0.6587.47.7571841.1311610.469696412.545.4479890.7944320.32987591.151.2037240.1755280.07288519.310.2550070.0371850.01544186790.931146.15804167.13407969.3996285.420.0715760.0104370.0043342.390.0315620.0046020.001911
9697도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E5기흥IC-수원신갈IC388.02020110100.037.226111127.108333-0.55276남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9798도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동S1수원신갈IC-기흥IC388.02020110100.037.226111127.1083330.564123남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9899도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동S2수원신갈IC-기흥IC388.02020110100.037.226111127.1083330.564123남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
99100도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동S3수원신갈IC-기흥IC388.02020110100.037.226111127.1083330.564123남0.60.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0