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 21 (21.0%) zerosZeros
CO(g/km) has 21 (21.0%) zerosZeros
CO_100M(g/km) has 21 (21.0%) zerosZeros
CO_300M(g/km) has 21 (21.0%) zerosZeros
CO_500M(g/km) has 21 (21.0%) zerosZeros
NOX(g/km) has 21 (21.0%) zerosZeros
NOX_100M(g/km) has 21 (21.0%) zerosZeros
NOX_300M(g/km) has 21 (21.0%) zerosZeros
NOX_500M(g/km) has 21 (21.0%) zerosZeros
HC(g/km) has 21 (21.0%) zerosZeros
HC_100M(g/km) has 21 (21.0%) zerosZeros
HC_300M(g/km) has 21 (21.0%) zerosZeros
HC_500M(g/km) has 21 (21.0%) zerosZeros
PM(g/km) has 21 (21.0%) zerosZeros
PM_100M(g/km) has 21 (21.0%) zerosZeros
PM_300M(g/km) has 21 (21.0%) zerosZeros
PM_500M(g/km) has 21 (21.0%) zerosZeros
CO2(g/km) has 21 (21.0%) zerosZeros
CO2_100M(g/km) has 21 (21.0%) zerosZeros
CO2_300M(g/km) has 21 (21.0%) zerosZeros
CO2_500M(g/km) has 21 (21.0%) zerosZeros
TSP(g/km) has 21 (21.0%) zerosZeros
TSP_100M(g/km) has 21 (21.0%) zerosZeros
TSP_300M(g/km) has 21 (21.0%) zerosZeros
TSP_500M(g/km) has 21 (21.0%) zerosZeros
PM10(g/km) has 21 (21.0%) zerosZeros
PM10_100M(g/km) has 21 (21.0%) zerosZeros
PM10_300M(g/km) has 21 (21.0%) zerosZeros
PM10_500M(g/km) has 21 (21.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:04:09.372313
Analysis finished2023-12-10 11:04:10.610072
Duration1.24 second
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
2023-12-10T20:04:10.878095image/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
2023-12-10T20:04:11.182189image/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

2023-12-10T20:04:11.439607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:11.777152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3352E-9
9 
A-0010-1185E-8
8 
A-0010-2583E-7
7 
Other values (10)
56 

Length

Max length15
Median length14
Mean length14.26
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-0010-2583E-7 7
 
7.0%
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-0010-2761E-6 6
 
6.0%
Other values (5) 26
26.0%

Length

2023-12-10T20:04:12.095389image/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-0010-2583e-7 7
 
7.0%
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-0010-2761e-6 6
 
6.0%
Other values (5) 26
26.0%

주소
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충남 천안시 서북구 성거읍 송남리
10 
경기 안성시 원곡면
10 
충북 청원군 남이면
9 
충청 천안시 구성동
9 
대구 동구 안심3동
8 
Other values (9)
54 

Length

Max length18
Median length10
Mean length11.88
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 (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
충북 청원군 남이면 9
 
9.0%
충청 천안시 구성동 9
 
9.0%
대구 동구 안심3동 8
 
8.0%
충북 옥천군 옥천읍 삼양리 7
 
7.0%
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%
Other values (4) 23
23.0%

Length

2023-12-10T20:04:12.478885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 27
 
7.7%
청원군 20
 
5.7%
천안시 19
 
5.4%
경기 16
 
4.6%
남이면 14
 
4.0%
경북 12
 
3.4%
충남 10
 
2.9%
서북구 10
 
2.9%
성거읍 10
 
2.9%
송남리 10
 
2.9%
Other values (30) 202
57.7%

방향
Categorical

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T20:04:12.883395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:13.067676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 51
51.0%
e 49
49.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
27 
2
26 
3
26 
4
13 
5
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
27.0%
2 26
26.0%
3 26
26.0%
4 13
13.0%
5 8
 
8.0%

Length

2023-12-10T20:04:13.256618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:13.467475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
27.0%
2 26
26.0%
3 26
26.0%
4 13
13.0%
5 8
 
8.0%

측정구간
Categorical

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

Length

Max length10
Median length9
Mean length9.28
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
남이JC-청주JC 5
 
5.0%
안성JC-안성IC 5
 
5.0%
안성IC-안성JC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
오산IC-동탄JC 5
 
5.0%
옥천IC-금강IC 4
 
4.0%
청주JC-남청주IC 4
 
4.0%
Other values (17) 52
52.0%

Length

2023-12-10T20:04:13.758443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남이jc-청주jc 5
 
5.0%
안성ic-안성jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
청주jc-남이jc 5
 
5.0%
오산ic-동탄jc 5
 
5.0%
안성jc-안성ic 5
 
5.0%
천안jc-천안ic 4
 
4.0%
경산ic-동대구jc 4
 
4.0%
Other values (17) 52
52.0%

장비이정(km)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.2228
Minimum8.3
Maximum380.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:13.985478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1118.5
median297.9
Q3345.2
95-th percentile380.1
Maximum380.1
Range371.8
Interquartile range (IQR)226.7

Descriptive statistics

Standard deviation114.71407
Coefficient of variation (CV)0.46028723
Kurtosis-0.69371872
Mean249.2228
Median Absolute Deviation (MAD)47.3
Skewness-0.82223934
Sum24922.28
Variance13159.319
MonotonicityIncreasing
2023-12-10T20:04:14.256910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
345.2 10
 
10.0%
361.3 10
 
10.0%
335.2 9
 
9.0%
118.5 8
 
8.0%
258.3 7
 
7.0%
8.3 6
 
6.0%
53.4 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
276.1 6
 
6.0%
Other values (5) 26
26.0%
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%
258.3 7
7.0%
276.1 6
6.0%
295.3 4
4.0%
297.9 5
5.0%
298.7 5
5.0%
ValueCountFrequency (%)
380.1 6
6.0%
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%
258.3 7
7.0%

측정일
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20201201 100
100.0%

Length

2023-12-10T20:04:14.619787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:14.812657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201201 100
100.0%

측정시간
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:04:15.004118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:15.193010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.5337
Minimum0
Maximum121.72
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:15.407696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.7975
median87.405
Q395.015
95-th percentile112.7265
Maximum121.72
Range121.72
Interquartile range (IQR)17.2175

Descriptive statistics

Standard deviation39.361696
Coefficient of variation (CV)0.5426677
Kurtosis-0.26358774
Mean72.5337
Median Absolute Deviation (MAD)9.235
Skewness-1.1263171
Sum7253.37
Variance1549.3431
MonotonicityNot monotonic
2023-12-10T20:04:15.699012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
94.92 2
 
2.0%
91.36 1
 
1.0%
108.15 1
 
1.0%
93.06 1
 
1.0%
74.32 1
 
1.0%
82.97 1
 
1.0%
100.0 1
 
1.0%
83.17 1
 
1.0%
87.74 1
 
1.0%
Other values (69) 69
69.0%
ValueCountFrequency (%)
0.0 21
21.0%
43.0 1
 
1.0%
74.32 1
 
1.0%
75.19 1
 
1.0%
77.7 1
 
1.0%
77.83 1
 
1.0%
78.07 1
 
1.0%
78.27 1
 
1.0%
78.38 1
 
1.0%
78.41 1
 
1.0%
ValueCountFrequency (%)
121.72 1
1.0%
120.7 1
1.0%
120.2 1
1.0%
119.97 1
1.0%
118.17 1
1.0%
112.44 1
1.0%
112.07 1
1.0%
110.66 1
1.0%
109.58 1
1.0%
108.15 1
1.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.424538
Minimum35.306944
Maximum37.158778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:15.944691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306944
5-th percentile35.306944
Q135.904732
median36.576944
Q336.868903
95-th percentile37.158778
Maximum37.158778
Range1.8518333
Interquartile range (IQR)0.96417037

Descriptive statistics

Standard deviation0.50859745
Coefficient of variation (CV)0.013963045
Kurtosis-0.56132503
Mean36.424538
Median Absolute Deviation (MAD)0.29195834
Skewness-0.5704546
Sum3642.4538
Variance0.25867137
MonotonicityIncreasing
2023-12-10T20:04:16.376193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36.86890278 10
 
10.0%
37.00888889 10
 
10.0%
36.78083333 9
 
9.0%
35.90473241 8
 
8.0%
36.30722222 7
 
7.0%
35.30694444 6
 
6.0%
35.68194444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.38961 6
 
6.0%
Other values (5) 26
26.0%
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%
36.30722222 7
7.0%
36.38961 6
6.0%
36.54 4
4.0%
36.57694444 5
5.0%
36.58444444 5
5.0%
ValueCountFrequency (%)
37.15877778 6
6.0%
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%
36.30722222 7
7.0%

경도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.76716
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:16.627344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.08833
Q1127.18421
median127.42639
Q3128.56147
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)1.3772633

Descriptive statistics

Standard deviation0.72532794
Coefficient of variation (CV)0.0056769515
Kurtosis-0.82349525
Mean127.76716
Median Absolute Deviation (MAD)0.2497222
Skewness0.89881755
Sum12776.716
Variance0.52610063
MonotonicityNot monotonic
2023-12-10T20:04:16.833933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
127.1867222 10
 
10.0%
127.1491667 10
 
10.0%
127.1766667 9
 
9.0%
128.5614716 8
 
8.0%
127.5744444 7
 
7.0%
129.0747222 6
 
6.0%
129.1811111 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.423508 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
127.0883333 6
6.0%
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%
127.5744444 7
7.0%
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%
127.5744444 7
7.0%
127.4338889 4
4.0%
127.4277778 5
5.0%
127.4263889 5
5.0%
127.423508 6
6.0%

기울기(°)
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03779762
Minimum-3.15276
Maximum3.071416
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size1.0 KiB
2023-12-10T20:04:17.131777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.15276
5-th percentile-2.788625
Q1-0.807188
median0.051518
Q30.688696
95-th percentile2.703849
Maximum3.071416
Range6.224176
Interquartile range (IQR)1.495884

Descriptive statistics

Standard deviation1.3767542
Coefficient of variation (CV)-36.424363
Kurtosis0.079415208
Mean-0.03779762
Median Absolute Deviation (MAD)0.858706
Skewness9.6031432 × 10-5
Sum-3.779762
Variance1.8954522
MonotonicityNot monotonic
2023-12-10T20:04:17.374613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.758683 5
 
5.0%
-0.660004 5
 
5.0%
-1.30142 5
 
5.0%
1.293015 5
 
5.0%
0.61369 5
 
5.0%
-0.624001 5
 
5.0%
1.544389 5
 
5.0%
1.437416 5
 
5.0%
-0.807188 4
 
4.0%
0.166426 4
 
4.0%
Other values (17) 52
52.0%
ValueCountFrequency (%)
-3.15276 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-1.252479 3
3.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
-0.660004 5
5.0%
-0.624001 5
5.0%
ValueCountFrequency (%)
3.071416 3
3.0%
2.703849 3
3.0%
1.544389 5
5.0%
1.437416 5
5.0%
1.293015 5
5.0%
1.172023 3
3.0%
0.688696 3
3.0%
0.671977 1
 
1.0%
0.61369 5
5.0%
0.409237 3
3.0%

풍향
Categorical

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북
36 
동
20 
남동
16 
북서
12 
남서
10 

Length

Max length2
Median length1
Mean length1.38
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북 36
36.0%
동 20
20.0%
남동 16
16.0%
북서 12
 
12.0%
남서 10
 
10.0%
남 6
 
6.0%

Length

2023-12-10T20:04:17.662601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:17.885209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북 36
36.0%
동 20
20.0%
남동 16
16.0%
북서 12
 
12.0%
남서 10
 
10.0%
남 6
 
6.0%

풍속(m/s)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7061216
Minimum1.232
Maximum2.482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:18.131732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.232
5-th percentile1.232
Q11.6
median1.702
Q31.7411765
95-th percentile2.482
Maximum2.482
Range1.25
Interquartile range (IQR)0.14117647

Descriptive statistics

Standard deviation0.26083999
Coefficient of variation (CV)0.15288476
Kurtosis2.995735
Mean1.7061216
Median Absolute Deviation (MAD)0.039176471
Skewness1.2081178
Sum170.61216
Variance0.0680375
MonotonicityNot monotonic
2023-12-10T20:04:18.593385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.53333333333333 10
10.0%
1.68235294117647 10
10.0%
1.716 9
 
9.0%
1.66470588235294 9
 
9.0%
1.74117647058823 8
 
8.0%
1.232 7
 
7.0%
2.482 6
 
6.0%
1.86470588235294 6
 
6.0%
1.6 6
 
6.0%
2.01372549019608 6
 
6.0%
Other values (4) 23
23.0%
ValueCountFrequency (%)
1.232 7
7.0%
1.438 6
6.0%
1.53333333333333 10
10.0%
1.6 6
6.0%
1.66470588235294 9
9.0%
1.68235294117647 10
10.0%
1.702 6
6.0%
1.704 5
5.0%
1.716 9
9.0%
1.72549019607843 6
6.0%
ValueCountFrequency (%)
2.482 6
6.0%
2.01372549019608 6
6.0%
1.86470588235294 6
6.0%
1.74117647058823 8
8.0%
1.72549019607843 6
6.0%
1.716 9
9.0%
1.704 5
5.0%
1.702 6
6.0%
1.68235294117647 10
10.0%
1.66470588235294 9
9.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4737.2487
Minimum0
Maximum17183.19
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:18.928009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1780.6
median3930.465
Q37692.6075
95-th percentile11645.631
Maximum17183.19
Range17183.19
Interquartile range (IQR)6912.0075

Descriptive statistics

Standard deviation4186.8556
Coefficient of variation (CV)0.88381588
Kurtosis-0.48328009
Mean4737.2487
Median Absolute Deviation (MAD)3606.205
Skewness0.56801671
Sum473724.87
Variance17529760
MonotonicityNot monotonic
2023-12-10T20:04:19.687188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
6522.1 1
 
1.0%
7506.47 1
 
1.0%
17183.19 1
 
1.0%
10641.03 1
 
1.0%
4402.82 1
 
1.0%
12768.96 1
 
1.0%
13698.63 1
 
1.0%
8995.13 1
 
1.0%
3825.64 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
2.6 1
 
1.0%
60.63 1
 
1.0%
677.5 1
 
1.0%
753.03 1
 
1.0%
789.79 1
 
1.0%
833.16 1
 
1.0%
928.32 1
 
1.0%
1017.81 1
 
1.0%
1055.35 1
 
1.0%
ValueCountFrequency (%)
17183.19 1
1.0%
14453.34 1
1.0%
13698.63 1
1.0%
12768.96 1
1.0%
11948.13 1
1.0%
11629.71 1
1.0%
11220.84 1
1.0%
10763.42 1
1.0%
10641.03 1
1.0%
10533.81 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.036487
Minimum0
Maximum81.787643
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:19.973764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.976479
median19.651298
Q335.175358
95-th percentile59.381391
Maximum81.787643
Range81.787643
Interquartile range (IQR)31.198879

Descriptive statistics

Standard deviation19.977825
Coefficient of variation (CV)0.90657941
Kurtosis-0.33119118
Mean22.036487
Median Absolute Deviation (MAD)15.637018
Skewness0.68126284
Sum2203.6487
Variance399.1135
MonotonicityNot monotonic
2023-12-10T20:04:20.360260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
20.82126394407 1
 
1.0%
34.9049946882261 1
 
1.0%
81.7876427913415 1
 
1.0%
50.6486141730347 1
 
1.0%
20.9563107568836 1
 
1.0%
60.7770233173775 1
 
1.0%
65.2020176213354 1
 
1.0%
42.8145460360783 1
 
1.0%
18.2090797906714 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0167218396119369 1
 
1.0%
0.313308664000228 1
 
1.0%
3.27830651835976 1
 
1.0%
3.89132151166241 1
 
1.0%
4.00486480082067 1
 
1.0%
4.08128071483985 1
 
1.0%
4.35732551426432 1
 
1.0%
4.59726075937923 1
 
1.0%
4.97050844662829 1
 
1.0%
ValueCountFrequency (%)
81.7876427913415 1
1.0%
66.3708128471037 1
1.0%
65.2020176213354 1
1.0%
64.0813146130612 1
1.0%
60.7770233173775 1
1.0%
59.3079365979474 1
1.0%
54.8667020981216 1
1.0%
51.8118977332719 1
1.0%
51.1370621897794 1
1.0%
50.6486141730347 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2133858
Minimum0
Maximum11.926368
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:20.774964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.57985472
median2.8655748
Q35.129311
95-th percentile8.6590625
Maximum11.926368
Range11.926368
Interquartile range (IQR)4.5494563

Descriptive statistics

Standard deviation2.9131894
Coefficient of variation (CV)0.90657941
Kurtosis-0.33119118
Mean3.2133858
Median Absolute Deviation (MAD)2.2802078
Skewness0.68126284
Sum321.33858
Variance8.4866723
MonotonicityNot monotonic
2023-12-10T20:04:21.416653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
3.03618057880982 1
 
1.0%
5.08988634218024 1
 
1.0%
11.9263678370702 1
 
1.0%
7.38563898468787 1
 
1.0%
3.05587325987836 1
 
1.0%
8.86257521780505 1
 
1.0%
9.50783296023175 1
 
1.0%
6.24326618760923 1
 
1.0%
2.6552688908293 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0024383978229234 1
 
1.0%
0.0456870285764407 1
 
1.0%
0.478046414913458 1
 
1.0%
0.567436964026343 1
 
1.0%
0.583993976622818 1
 
1.0%
0.595137032811927 1
 
1.0%
0.635390201934867 1
 
1.0%
0.67037783445068 1
 
1.0%
0.724805240114207 1
 
1.0%
ValueCountFrequency (%)
11.9263678370702 1
1.0%
9.67826802001562 1
1.0%
9.50783296023175 1
1.0%
9.34441076273806 1
1.0%
8.86257521780505 1
1.0%
8.64835130814699 1
1.0%
8.0007254017403 1
1.0%
7.55527032708516 1
1.0%
7.45686503446957 1
1.0%
7.38563898468787 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3343046
Minimum0
Maximum4.9522246
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:21.747372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.24077497
median1.189882
Q32.1298605
95-th percentile3.5955307
Maximum4.9522246
Range4.9522246
Interquartile range (IQR)1.8890856

Descriptive statistics

Standard deviation1.2096531
Coefficient of variation (CV)0.90657941
Kurtosis-0.33119118
Mean1.3343046
Median Absolute Deviation (MAD)0.94681813
Skewness0.68126284
Sum133.43046
Variance1.4632607
MonotonicityNot monotonic
2023-12-10T20:04:22.217945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
1.2607231562235 1
 
1.0%
2.11349009308524 1
 
1.0%
4.9522245833374 1
 
1.0%
3.06676294436777 1
 
1.0%
1.26890021235926 1
 
1.0%
3.68003598957189 1
 
1.0%
3.94796846476371 1
 
1.0%
2.59241176500497 1
 
1.0%
1.10255595468588 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0010125038744071 1
 
1.0%
0.0189707737633782 1
 
1.0%
0.19850077075036 1
 
1.0%
0.235618699769696 1
 
1.0%
0.242493722067099 1
 
1.0%
0.247120689602151 1
 
1.0%
0.263835144196471 1
 
1.0%
0.278363172865772 1
 
1.0%
0.300963241890677 1
 
1.0%
ValueCountFrequency (%)
4.9522245833374 1
1.0%
4.01873877006159 1
1.0%
3.94796846476371 1
1.0%
3.88011013312852 1
1.0%
3.68003598957189 1
1.0%
3.59108309743907 1
1.0%
3.32216728180033 1
1.0%
3.13719951947601 1
1.0%
3.09633836913427 1
1.0%
3.06676294436777 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9732.0887
Minimum0
Maximum45815.25
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:22.504155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1638.895
median6981.235
Q315113.535
95-th percentile34032.868
Maximum45815.25
Range45815.25
Interquartile range (IQR)14474.64

Descriptive statistics

Standard deviation11068.928
Coefficient of variation (CV)1.137364
Kurtosis1.0156726
Mean9732.0887
Median Absolute Deviation (MAD)6978.25
Skewness1.2791545
Sum973208.87
Variance1.2252116 × 108
MonotonicityNot monotonic
2023-12-10T20:04:22.934081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
7063.57 1
 
1.0%
14567.22 1
 
1.0%
45815.25 1
 
1.0%
16321.45 1
 
1.0%
3554.14 1
 
1.0%
33891.7 1
 
1.0%
39186.65 1
 
1.0%
14621.85 1
 
1.0%
2881.71 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
5.97 1
 
1.0%
182.06 1
 
1.0%
514.71 1
 
1.0%
563.07 1
 
1.0%
664.17 1
 
1.0%
764.22 1
 
1.0%
853.73 1
 
1.0%
867.26 1
 
1.0%
975.56 1
 
1.0%
ValueCountFrequency (%)
45815.25 1
1.0%
39186.65 1
1.0%
37715.61 1
1.0%
36815.35 1
1.0%
36715.06 1
1.0%
33891.7 1
1.0%
33313.41 1
1.0%
30707.96 1
1.0%
28420.83 1
1.0%
27302.2 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.239819
Minimum0
Maximum218.06901
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:23.227625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.2101824
median26.182379
Q369.619651
95-th percentile156.62846
Maximum218.06901
Range218.06901
Interquartile range (IQR)66.409468

Descriptive statistics

Standard deviation51.590537
Coefficient of variation (CV)1.1403789
Kurtosis0.91229807
Mean45.239819
Median Absolute Deviation (MAD)26.182379
Skewness1.2535409
Sum4523.9819
Variance2661.5835
MonotonicityNot monotonic
2023-12-10T20:04:23.628532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
22.5498620624361 1
 
1.0%
67.7373967686838 1
 
1.0%
218.06901404198 1
 
1.0%
77.6859781237792 1
 
1.0%
16.9168083895027 1
 
1.0%
161.315928718201 1
 
1.0%
186.518552864126 1
 
1.0%
69.5963115549893 1
 
1.0%
13.7162114897313 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0383959163397166 1
 
1.0%
0.940804475802103 1
 
1.0%
2.61336698869245 1
 
1.0%
2.90969337685318 1
 
1.0%
3.31034541025386 1
 
1.0%
3.35924507167804 1
 
1.0%
3.59933857495833 1
 
1.0%
4.29487716108587 1
 
1.0%
5.04125680771998 1
 
1.0%
ValueCountFrequency (%)
218.06901404198 1
1.0%
186.518552864126 1
1.0%
169.205117400631 1
1.0%
161.315928718201 1
1.0%
160.262609095627 1
1.0%
156.437189953144 1
1.0%
144.465913533979 1
1.0%
139.373667535592 1
1.0%
131.232344232224 1
1.0%
131.081147860905 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5969223
Minimum0
Maximum31.799074
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:23.937594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.46811248
median3.8179446
Q310.152017
95-th percentile22.839742
Maximum31.799074
Range31.799074
Interquartile range (IQR)9.6839048

Descriptive statistics

Standard deviation7.5229912
Coefficient of variation (CV)1.1403789
Kurtosis0.91229807
Mean6.5969223
Median Absolute Deviation (MAD)3.8179446
Skewness1.2535409
Sum659.69223
Variance56.595397
MonotonicityNot monotonic
2023-12-10T20:04:24.231568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
3.28824673817691 1
 
1.0%
9.87754485417711 1
 
1.0%
31.7990736322725 1
 
1.0%
11.3282583929031 1
 
1.0%
2.46682839358958 1
 
1.0%
23.5232736659276 1
 
1.0%
27.1983492123713 1
 
1.0%
10.1486139394644 1
 
1.0%
2.00011368434869 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0055989365395589 1
 
1.0%
0.137189187244381 1
 
1.0%
0.381084170379125 1
 
1.0%
0.424294824023363 1
 
1.0%
0.482718362860362 1
 
1.0%
0.48984896755013 1
 
1.0%
0.524859677453053 1
 
1.0%
0.626283911480628 1
 
1.0%
0.735121847237877 1
 
1.0%
ValueCountFrequency (%)
31.7990736322725 1
1.0%
27.1983492123713 1
1.0%
24.6736842041401 1
1.0%
23.5232736659276 1
1.0%
23.3696773909883 1
1.0%
22.8118503859892 1
1.0%
21.0661851341069 1
1.0%
20.3236279846296 1
1.0%
19.1364508869329 1
1.0%
19.1144032587284 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7392615
Minimum0
Maximum13.204033
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:24.578013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.19437587
median1.5853376
Q34.2154552
95-th percentile9.4838204
Maximum13.204033
Range13.204033
Interquartile range (IQR)4.0210794

Descriptive statistics

Standard deviation3.1237962
Coefficient of variation (CV)1.1403789
Kurtosis0.91229807
Mean2.7392615
Median Absolute Deviation (MAD)1.5853376
Skewness1.2535409
Sum273.92615
Variance9.7581025
MonotonicityNot monotonic
2023-12-10T20:04:24.986914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
1.36538940902556 1
 
1.0%
4.10148513932556 1
 
1.0%
13.2040329730247 1
 
1.0%
4.70386964968159 1
 
1.0%
1.02430919291603 1
 
1.0%
9.76764558333441 1
 
1.0%
11.2936591790371 1
 
1.0%
4.21404203898531 1
 
1.0%
0.830513723240516 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0023248646654655 1
 
1.0%
0.056965513299697 1
 
1.0%
0.158238821966089 1
 
1.0%
0.176181322496212 1
 
1.0%
0.200440718921573 1
 
1.0%
0.20340158314454 1
 
1.0%
0.217939194312496 1
 
1.0%
0.260053909535041 1
 
1.0%
0.305247040287006 1
 
1.0%
ValueCountFrequency (%)
13.2040329730247 1
1.0%
11.2936591790371 1
1.0%
10.2453343001421 1
1.0%
9.76764558333441 1
1.0%
9.70386730154274 1
1.0%
9.47223897637746 1
1.0%
8.7473807049615 1
1.0%
8.43904627989503 1
1.0%
7.94609086477567 1
1.0%
7.93693595626622 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean953.9711
Minimum0
Maximum4658.37
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:25.318992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q161.7725
median617.45
Q31519.4525
95-th percentile3290.8135
Maximum4658.37
Range4658.37
Interquartile range (IQR)1457.68

Descriptive statistics

Standard deviation1091.2117
Coefficient of variation (CV)1.1438624
Kurtosis0.8880665
Mean953.9711
Median Absolute Deviation (MAD)617.45
Skewness1.2514796
Sum95397.11
Variance1190743
MonotonicityNot monotonic
2023-12-10T20:04:25.676563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
802.4 1
 
1.0%
1415.31 1
 
1.0%
4658.37 1
 
1.0%
1580.54 1
 
1.0%
343.3 1
 
1.0%
3649.78 1
 
1.0%
3720.54 1
 
1.0%
1187.89 1
 
1.0%
284.65 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.93 1
 
1.0%
12.27 1
 
1.0%
53.78 1
 
1.0%
60.13 1
 
1.0%
62.32 1
 
1.0%
69.87 1
 
1.0%
75.09 1
 
1.0%
75.68 1
 
1.0%
83.08 1
 
1.0%
ValueCountFrequency (%)
4658.37 1
1.0%
3720.54 1
1.0%
3649.78 1
1.0%
3427.81 1
1.0%
3340.28 1
1.0%
3288.21 1
1.0%
3078.87 1
1.0%
3053.85 1
1.0%
2898.86 1
1.0%
2850.99 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4392859
Minimum0
Maximum22.172664
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:26.090441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.31597753
median2.5477511
Q37.4501695
95-th percentile15.320579
Maximum22.172664
Range22.172664
Interquartile range (IQR)7.1341919

Descriptive statistics

Standard deviation5.1232079
Coefficient of variation (CV)1.1540613
Kurtosis0.9850865
Mean4.4392859
Median Absolute Deviation (MAD)2.5477511
Skewness1.2757979
Sum443.92859
Variance26.24726
MonotonicityNot monotonic
2023-12-10T20:04:26.429471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
2.56159552731816 1
 
1.0%
6.58117437786248 1
 
1.0%
22.1726641880758 1
 
1.0%
7.52297105120917 1
 
1.0%
1.63402125974674 1
 
1.0%
17.3720306245221 1
 
1.0%
17.7088303458728 1
 
1.0%
5.65405626053176 1
 
1.0%
1.35486207861028 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0059812733996543 1
 
1.0%
0.0634058602553653 1
 
1.0%
0.236598697667882 1
 
1.0%
0.297784623973146 1
 
1.0%
0.322041826496688 1
 
1.0%
0.345884820896141 1
 
1.0%
0.34601280728394 1
 
1.0%
0.38803146263858 1
 
1.0%
0.391291838485695 1
 
1.0%
ValueCountFrequency (%)
22.1726641880758 1
1.0%
17.7088303458728 1
1.0%
17.3720306245221 1
1.0%
15.709350202945 1
1.0%
15.4236443760443 1
1.0%
15.3151548835932 1
1.0%
14.5655810441375 1
1.0%
14.1384001587565 1
1.0%
13.9723873975347 1
1.0%
12.0162470126902 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64734176
Minimum0
Maximum3.2332433
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:26.704702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.046076205
median0.37151599
Q31.0863923
95-th percentile2.2340644
Maximum3.2332433
Range3.2332433
Interquartile range (IQR)1.040316

Descriptive statistics

Standard deviation0.74707206
Coefficient of variation (CV)1.1540613
Kurtosis0.9850865
Mean0.64734176
Median Absolute Deviation (MAD)0.37151599
Skewness1.2757979
Sum64.734176
Variance0.55811666
MonotonicityNot monotonic
2023-12-10T20:04:27.015424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.373534796528265 1
 
1.0%
0.959674392750669 1
 
1.0%
3.23324331170013 1
 
1.0%
1.0970082633785 1
 
1.0%
0.23827485341582 1
 
1.0%
2.5332094217885 1
 
1.0%
2.58232194327904 1
 
1.0%
0.824480965989277 1
 
1.0%
0.197567541581163 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0008721961443533 1
 
1.0%
0.0092459152339259 1
 
1.0%
0.0345010933419106 1
 
1.0%
0.0434232952621952 1
 
1.0%
0.0469605083437867 1
 
1.0%
0.0504373211218556 1
 
1.0%
0.0504559842436542 1
 
1.0%
0.0565831927396492 1
 
1.0%
0.0570586244835252 1
 
1.0%
ValueCountFrequency (%)
3.23324331170013 1
1.0%
2.58232194327904 1
1.0%
2.5332094217885 1
1.0%
2.29075545653835 1
1.0%
2.24909350531297 1
1.0%
2.23327344314624 1
1.0%
2.12396972652977 1
1.0%
2.06167772008307 1
1.0%
2.03746954891679 1
1.0%
1.75222291538656 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26879783
Minimum0
Maximum1.3425502
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:27.416213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.019132373
median0.15426579
Q30.4511062
95-th percentile0.92765786
Maximum1.3425502
Range1.3425502
Interquartile range (IQR)0.43197382

Descriptive statistics

Standard deviation0.31020916
Coefficient of variation (CV)1.1540613
Kurtosis0.9850865
Mean0.26879783
Median Absolute Deviation (MAD)0.15426579
Skewness1.2757979
Sum26.879783
Variance0.096229725
MonotonicityNot monotonic
2023-12-10T20:04:27.765263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.155104070859652 1
 
1.0%
0.398488725545359 1
 
1.0%
1.3425501570012 1
 
1.0%
0.455514316197871 1
 
1.0%
0.0989396438879933 1
 
1.0%
1.05187280358147 1
 
1.0%
1.07226595593077 1
 
1.0%
0.342351918374915 1
 
1.0%
0.0820366141355004 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.000362164847384 1
 
1.0%
0.0038392115137168 1
 
1.0%
0.0143260014225589 1
 
1.0%
0.0180307964021164 1
 
1.0%
0.0194995649172642 1
 
1.0%
0.0209432532175442 1
 
1.0%
0.0209510027664291 1
 
1.0%
0.0234952235179295 1
 
1.0%
0.0236926385903041 1
 
1.0%
ValueCountFrequency (%)
1.3425501570012 1
1.0%
1.07226595593077 1
1.0%
1.05187280358147 1
1.0%
0.951197853467375 1
1.0%
0.933898425689639 1
1.0%
0.927329409720797 1
1.0%
0.881942871264742 1
1.0%
0.856077158427016 1
1.0%
0.846025120622624 1
1.0%
0.727581231403317 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean631.7735
Minimum0
Maximum2881.88
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:28.053859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.505
median307.035
Q31123.8375
95-th percentile2123.6885
Maximum2881.88
Range2881.88
Interquartile range (IQR)1110.3325

Descriptive statistics

Standard deviation741.28957
Coefficient of variation (CV)1.173347
Kurtosis0.21082896
Mean631.7735
Median Absolute Deviation (MAD)307.035
Skewness1.0762307
Sum63177.35
Variance549510.22
MonotonicityNot monotonic
2023-12-10T20:04:28.356092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
1346.27 1
 
1.0%
1531.88 1
 
1.0%
2881.88 1
 
1.0%
971.6 1
 
1.0%
69.9 1
 
1.0%
2116.11 1
 
1.0%
2552.0 1
 
1.0%
814.27 1
 
1.0%
46.65 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.34 1
 
1.0%
7.9 1
 
1.0%
9.14 1
 
1.0%
10.13 1
 
1.0%
14.63 1
 
1.0%
15.58 1
 
1.0%
17.15 1
 
1.0%
18.46 1
 
1.0%
23.1 1
 
1.0%
ValueCountFrequency (%)
2881.88 1
1.0%
2552.0 1
1.0%
2331.82 1
1.0%
2268.13 1
1.0%
2267.68 1
1.0%
2116.11 1
1.0%
2066.1 1
1.0%
1879.34 1
1.0%
1878.33 1
1.0%
1874.54 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9164439
Minimum0
Maximum13.717021
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:29.062154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.063019429
median1.2798784
Q34.9029262
95-th percentile9.6495397
Maximum13.717021
Range13.717021
Interquartile range (IQR)4.8399068

Descriptive statistics

Standard deviation3.4312998
Coefficient of variation (CV)1.1765355
Kurtosis0.25229891
Mean2.9164439
Median Absolute Deviation (MAD)1.2798784
Skewness1.0862752
Sum291.64439
Variance11.773818
MonotonicityNot monotonic
2023-12-10T20:04:29.322307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
4.29785544686269 1
 
1.0%
7.12322346762191 1
 
1.0%
13.7170206467781 1
 
1.0%
4.62457050967064 1
 
1.0%
0.332706338643452 1
 
1.0%
10.0721489308554 1
 
1.0%
12.1468751962531 1
 
1.0%
3.8757194616195 1
 
1.0%
0.222042213128999 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0021867021030994 1
 
1.0%
0.0408236590071219 1
 
1.0%
0.041593438003225 1
 
1.0%
0.052347299461031 1
 
1.0%
0.0665768050314203 1
 
1.0%
0.0674815843173819 1
 
1.0%
0.0733789942658537 1
 
1.0%
0.0953930057305659 1
 
1.0%
0.106663568648923 1
 
1.0%
ValueCountFrequency (%)
13.7170206467781 1
1.0%
12.1468751962531 1
1.0%
10.3289753136379 1
1.0%
10.0721489308554 1
1.0%
9.90845851734509 1
1.0%
9.63591238200766 1
1.0%
8.9246067543897 1
1.0%
8.73421177633905 1
1.0%
8.6300691339217 1
1.0%
8.60816556231347 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42527919
Minimum0
Maximum2.0002317
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:29.628000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0091895653
median0.18663334
Q30.71495032
95-th percentile1.4071069
Maximum2.0002317
Range2.0002317
Interquartile range (IQR)0.70576076

Descriptive statistics

Standard deviation0.50035607
Coefficient of variation (CV)1.1765355
Kurtosis0.25229891
Mean0.42527919
Median Absolute Deviation (MAD)0.18663334
Skewness1.0862752
Sum42.527919
Variance0.25035619
MonotonicityNot monotonic
2023-12-10T20:04:29.926611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.626718208527053 1
 
1.0%
1.0387166124502 1
 
1.0%
2.0002316765569 1
 
1.0%
0.674360173547367 1
 
1.0%
0.0485156197313307 1
 
1.0%
1.46873230428707 1
 
1.0%
1.77127126687205 1
 
1.0%
0.565161855202156 1
 
1.0%
0.0323784500782057 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.000318867407613 1
 
1.0%
0.0059529527585994 1
 
1.0%
0.0060652028143223 1
 
1.0%
0.0076333432208369 1
 
1.0%
0.0097083060364918 1
 
1.0%
0.0098402419892527 1
 
1.0%
0.0107002090690097 1
 
1.0%
0.0139103174587019 1
 
1.0%
0.0155538038645651 1
 
1.0%
ValueCountFrequency (%)
2.0002316765569 1
1.0%
1.77127126687205 1
1.0%
1.50618302186237 1
1.0%
1.46873230428707 1
1.0%
1.44486278052653 1
1.0%
1.4051197906118 1
1.0%
1.30139638851801 1
1.0%
1.27363277454082 1
1.0%
1.25844657502945 1
1.0%
1.25525257110624 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17659006
Minimum0
Maximum0.83056272
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:30.210699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0038158132
median0.077496368
Q30.29687115
95-th percentile0.5842776
Maximum0.83056272
Range0.83056272
Interquartile range (IQR)0.29305534

Descriptive statistics

Standard deviation0.20776448
Coefficient of variation (CV)1.1765355
Kurtosis0.25229891
Mean0.17659006
Median Absolute Deviation (MAD)0.077496368
Skewness1.0862752
Sum17.659006
Variance0.043166079
MonotonicityNot monotonic
2023-12-10T20:04:30.465673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.260234244112941 1
 
1.0%
0.431309684018642 1
 
1.0%
0.830562717529654 1
 
1.0%
0.280016772506771 1
 
1.0%
0.0201452988866028 1
 
1.0%
0.609866501100558 1
 
1.0%
0.735490740466528 1
 
1.0%
0.23467399891837 1
 
1.0%
0.0134446093427757 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.000132404352807 1
 
1.0%
0.0024718639737867 1
 
1.0%
0.0025184739302316 1
 
1.0%
0.0031696179815771 1
 
1.0%
0.0040312115535326 1
 
1.0%
0.0040859957491582 1
 
1.0%
0.0044430826821971 1
 
1.0%
0.0057760264501395 1
 
1.0%
0.0064584566663365 1
 
1.0%
ValueCountFrequency (%)
0.830562717529654 1
1.0%
0.735490740466528 1
1.0%
0.625417284605955 1
1.0%
0.609866501100558 1
1.0%
0.599955080962058 1
1.0%
0.583452469742964 1
1.0%
0.54038306347162 1
1.0%
0.52885468756217 1
1.0%
0.522548872449382 1
1.0%
0.521222615791541 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1506855.8
Minimum0
Maximum4766975.7
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:30.815139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1264542.04
median1436271.2
Q32556743.8
95-th percentile3538888.1
Maximum4766975.7
Range4766975.7
Interquartile range (IQR)2292201.7

Descriptive statistics

Standard deviation1277289.8
Coefficient of variation (CV)0.8476523
Kurtosis-0.857873
Mean1506855.8
Median Absolute Deviation (MAD)1170308.7
Skewness0.42037182
Sum1.5068558 × 108
Variance1.6314692 × 1012
MonotonicityNot monotonic
2023-12-10T20:04:31.140539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
2430600.82 1
 
1.0%
3054797.39 1
 
1.0%
4766975.66 1
 
1.0%
3211789.42 1
 
1.0%
1509802.0 1
 
1.0%
3538416.04 1
 
1.0%
4473787.64 1
 
1.0%
3056475.43 1
 
1.0%
1396339.64 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
366.06 1
 
1.0%
27619.03 1
 
1.0%
249514.3 1
 
1.0%
254636.96 1
 
1.0%
267843.74 1
 
1.0%
350369.41 1
 
1.0%
383359.37 1
 
1.0%
432733.17 1
 
1.0%
446793.9 1
 
1.0%
ValueCountFrequency (%)
4766975.66 1
1.0%
4473787.64 1
1.0%
3979064.56 1
1.0%
3911439.42 1
1.0%
3547856.91 1
1.0%
3538416.04 1
1.0%
3461124.52 1
1.0%
3349929.49 1
1.0%
3228501.04 1
1.0%
3214652.92 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6991.4171
Minimum0
Maximum22689.6
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:31.609504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11382.7295
median6675.1977
Q312208.124
95-th percentile17986.469
Maximum22689.6
Range22689.6
Interquartile range (IQR)10825.395

Descriptive statistics

Standard deviation6064.2926
Coefficient of variation (CV)0.86739104
Kurtosis-0.66891667
Mean6991.4171
Median Absolute Deviation (MAD)5341.1943
Skewness0.5417386
Sum699141.71
Variance36775644
MonotonicityNot monotonic
2023-12-10T20:04:31.969271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
7759.49176122615 1
 
1.0%
14204.7709071717 1
 
1.0%
22689.5996887132 1
 
1.0%
15287.3061290697 1
 
1.0%
7186.27604429986 1
 
1.0%
16841.9663128135 1
 
1.0%
21294.0987921706 1
 
1.0%
14548.0507792413 1
 
1.0%
6646.22387878562 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
2.35430638782524 1
 
1.0%
142.722767446515 1
 
1.0%
1289.37806336718 1
 
1.0%
1378.62873954206 1
 
1.0%
1384.09639353826 1
 
1.0%
1637.69169399661 1
 
1.0%
1702.71253051213 1
 
1.0%
1805.55359518558 1
 
1.0%
2212.62933471218 1
 
1.0%
ValueCountFrequency (%)
22689.5996887132 1
1.0%
21294.0987921706 1
1.0%
19549.183500864 1
1.0%
18502.6020660722 1
1.0%
18458.5759731121 1
1.0%
17961.6208923061 1
1.0%
17241.3341632927 1
1.0%
16841.9663128135 1
1.0%
15893.7413606434 1
1.0%
15287.3061290697 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1019.4965
Minimum0
Maximum3308.6234
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:32.210406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201.6312
median973.38498
Q31780.2027
95-th percentile2622.8075
Maximum3308.6234
Range3308.6234
Interquartile range (IQR)1578.5715

Descriptive statistics

Standard deviation884.30209
Coefficient of variation (CV)0.86739104
Kurtosis-0.66891667
Mean1019.4965
Median Absolute Deviation (MAD)778.85907
Skewness0.5417386
Sum101949.65
Variance781990.19
MonotonicityNot monotonic
2023-12-10T20:04:32.491388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
1131.49798447175 1
 
1.0%
2071.35597870755 1
 
1.0%
3308.62343904248 1
 
1.0%
2229.2125058345 1
 
1.0%
1047.91101146785 1
 
1.0%
2455.91483616425 1
 
1.0%
3105.12989844017 1
 
1.0%
2121.41344320509 1
 
1.0%
969.159985551119 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.343307656561295 1
 
1.0%
20.8119975732075 1
 
1.0%
188.01858740443 1
 
1.0%
201.033223325464 1
 
1.0%
201.830522899567 1
 
1.0%
238.810080346097 1
 
1.0%
248.291493269763 1
 
1.0%
263.287895222325 1
 
1.0%
322.648146251049 1
 
1.0%
ValueCountFrequency (%)
3308.62343904248 1
1.0%
3105.12989844017 1
1.0%
2850.6843502081 1
1.0%
2698.07064553611 1
1.0%
2691.65071018707 1
1.0%
2619.18415057104 1
1.0%
2514.1511139754 1
1.0%
2455.91483616425 1
1.0%
2317.64358654871 1
1.0%
2229.2125058345 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.32884
Minimum0
Maximum1373.8505
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:32.811866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183.723979
median404.18182
Q3739.19935
95-th percentile1089.0769
Maximum1373.8505
Range1373.8505
Interquartile range (IQR)655.47537

Descriptive statistics

Standard deviation367.19164
Coefficient of variation (CV)0.86739104
Kurtosis-0.66891667
Mean423.32884
Median Absolute Deviation (MAD)323.40819
Skewness0.5417386
Sum42332.884
Variance134829.7
MonotonicityNot monotonic
2023-12-10T20:04:33.113754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
469.835595484556 1
 
1.0%
860.095893295737 1
 
1.0%
1373.85049293077 1
 
1.0%
925.643173486818 1
 
1.0%
435.127504285989 1
 
1.0%
1019.77752090056 1
 
1.0%
1289.35320690972 1
 
1.0%
880.881417409267 1
 
1.0%
402.427459156099 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.142552757025181 1
 
1.0%
8.64183357568785 1
 
1.0%
78.0715707740007 1
 
1.0%
83.4756804603545 1
 
1.0%
83.8067457607963 1
 
1.0%
99.1618879104812 1
 
1.0%
103.098885897363 1
 
1.0%
109.325890751284 1
 
1.0%
133.974241232627 1
 
1.0%
ValueCountFrequency (%)
1373.85049293077 1
1.0%
1289.35320690972 1
1.0%
1183.69895271516 1
1.0%
1120.32866677767 1
1.0%
1117.66289610102 1
1.0%
1087.57237039336 1
1.0%
1043.9591603199 1
1.0%
1019.77752090056 1
1.0%
962.3626993162 1
1.0%
925.643173486818 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.9942
Minimum0
Maximum2454.67
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:33.406718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153.365
median365.695
Q3868.85
95-th percentile1434.2865
Maximum2454.67
Range2454.67
Interquartile range (IQR)815.485

Descriptive statistics

Standard deviation539.4409
Coefficient of variation (CV)1.0454399
Kurtosis1.1460248
Mean515.9942
Median Absolute Deviation (MAD)365.695
Skewness1.1451063
Sum51599.42
Variance290996.49
MonotonicityNot monotonic
2023-12-10T20:04:33.684648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
1529.98 1
 
1.0%
1949.68 1
 
1.0%
1405.88 1
 
1.0%
813.62 1
 
1.0%
180.67 1
 
1.0%
1429.25 1
 
1.0%
2118.71 1
 
1.0%
868.84 1
 
1.0%
174.48 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.07 1
 
1.0%
8.15 1
 
1.0%
26.36 1
 
1.0%
52.84 1
 
1.0%
53.54 1
 
1.0%
55.33 1
 
1.0%
57.63 1
 
1.0%
62.35 1
 
1.0%
64.74 1
 
1.0%
ValueCountFrequency (%)
2454.67 1
1.0%
2118.71 1
1.0%
1949.68 1
1.0%
1555.94 1
1.0%
1529.98 1
1.0%
1429.25 1
1.0%
1405.88 1
1.0%
1399.69 1
1.0%
1294.42 1
1.0%
1270.19 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3743763
Minimum0
Maximum11.414186
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:34.124096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25327027
median1.7855521
Q33.9383339
95-th percentile6.6971953
Maximum11.414186
Range11.414186
Interquartile range (IQR)3.6850637

Descriptive statistics

Standard deviation2.4842285
Coefficient of variation (CV)1.0462657
Kurtosis1.3640115
Mean2.3743763
Median Absolute Deviation (MAD)1.785327
Skewness1.184666
Sum237.43763
Variance6.1713911
MonotonicityNot monotonic
2023-12-10T20:04:34.411681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
4.88433440289911 1
 
1.0%
9.06598841316101 1
 
1.0%
6.6916335818606 1
 
1.0%
3.87262562585243 1
 
1.0%
0.859943550825642 1
 
1.0%
6.80286887705512 1
 
1.0%
10.0845242739237 1
 
1.0%
4.13545887363343 1
 
1.0%
0.830480714828461 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0004502033741675 1
 
1.0%
0.0421155469503853 1
 
1.0%
0.136216664737688 1
 
1.0%
0.248866884275206 1
 
1.0%
0.254738062315295 1
 
1.0%
0.276670721929279 1
 
1.0%
0.28373641788852 1
 
1.0%
0.285920639603045 1
 
1.0%
0.344078757923834 1
 
1.0%
ValueCountFrequency (%)
11.4141858038929 1
1.0%
10.0845242739237 1
1.0%
9.06598841316101 1
1.0%
7.18450705643313 1
1.0%
6.80286887705512 1
1.0%
6.6916335818606 1
1.0%
6.39721587663131 1
1.0%
5.98236615703111 1
1.0%
5.9769461701532 1
1.0%
5.74663380567991 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34623427
Minimum0
Maximum1.6644297
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:34.655571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.036932161
median0.26037126
Q30.57429237
95-th percentile0.9765927
Maximum1.6644297
Range1.6644297
Interquartile range (IQR)0.53736021

Descriptive statistics

Standard deviation0.36225304
Coefficient of variation (CV)1.0462657
Kurtosis1.3640115
Mean0.34623427
Median Absolute Deviation (MAD)0.26033844
Skewness1.184666
Sum34.623427
Variance0.13122727
MonotonicityNot monotonic
2023-12-10T20:04:34.939457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.712239242263603 1
 
1.0%
1.32201282408668 1
 
1.0%
0.975781680513351 1
 
1.0%
0.564710708523681 1
 
1.0%
0.12539795446151 1
 
1.0%
0.99200213878404 1
 
1.0%
1.47053689100097 1
 
1.0%
0.603037354039619 1
 
1.0%
0.121101649938807 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
6.5649172155632e-05 1
 
1.0%
0.0061413373395677 1
 
1.0%
0.0198632702173013 1
 
1.0%
0.0362900543778222 1
 
1.0%
0.0371461962906252 1
 
1.0%
0.0403444418601787 1
 
1.0%
0.0413747697454045 1
 
1.0%
0.041693275459912 1
 
1.0%
0.0501739589486775 1
 
1.0%
ValueCountFrequency (%)
1.66442965968818 1
1.0%
1.47053689100097 1
1.0%
1.32201282408668 1
1.0%
1.04765305562907 1
1.0%
0.99200213878404 1
1.0%
0.975781680513351 1
1.0%
0.932849353202381 1
1.0%
0.872355491486866 1
1.0%
0.871565142786598 1
1.0%
0.837980729758075 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14376798
Minimum0
Maximum0.69112655
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:35.362207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.015335461
median0.10811481
Q30.23846529
95-th percentile0.40551377
Maximum0.69112655
Range0.69112655
Interquartile range (IQR)0.22312983

Descriptive statistics

Standard deviation0.15041951
Coefficient of variation (CV)1.0462657
Kurtosis1.3640115
Mean0.14376798
Median Absolute Deviation (MAD)0.10810118
Skewness1.184666
Sum14.376798
Variance0.02262603
MonotonicityNot monotonic
2023-12-10T20:04:35.660950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.295745421652356 1
 
1.0%
0.548943693198858 1
 
1.0%
0.405177007134437 1
 
1.0%
0.234486667812843 1
 
1.0%
0.0520694012853008 1
 
1.0%
0.411912280882361 1
 
1.0%
0.610615825522663 1
 
1.0%
0.250401165731559 1
 
1.0%
0.0502854327572883 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
2.72597196955763e-05 1
 
1.0%
0.0025500875172609 1
 
1.0%
0.0082478904239262 1
 
1.0%
0.0150688375434722 1
 
1.0%
0.0154243361399711 1
 
1.0%
0.0167523540704481 1
 
1.0%
0.0171801804759237 1
 
1.0%
0.0173124346417238 1
 
1.0%
0.0208338964841153 1
 
1.0%
ValueCountFrequency (%)
0.691126551733844 1
1.0%
0.610615825522663 1
1.0%
0.548943693198858 1
1.0%
0.435020392442411 1
1.0%
0.411912280882361 1
1.0%
0.405177007134437 1
1.0%
0.387350076954703 1
1.0%
0.362231013613606 1
1.0%
0.361902834547159 1
1.0%
0.347957469278459 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.0313
Minimum0
Maximum1080.06
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:35.908446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.425
median160.935
Q3382.325
95-th percentile631.1045
Maximum1080.06
Range1080.06
Interquartile range (IQR)358.9

Descriptive statistics

Standard deviation237.36038
Coefficient of variation (CV)1.0454963
Kurtosis1.1458885
Mean227.0313
Median Absolute Deviation (MAD)160.935
Skewness1.1450715
Sum22703.13
Variance56339.949
MonotonicityNot monotonic
2023-12-10T20:04:36.557311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
673.18 1
 
1.0%
857.85 1
 
1.0%
618.6 1
 
1.0%
358.02 1
 
1.0%
79.53 1
 
1.0%
628.89 1
 
1.0%
932.26 1
 
1.0%
382.37 1
 
1.0%
76.71 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.03 1
 
1.0%
3.59 1
 
1.0%
11.55 1
 
1.0%
23.14 1
 
1.0%
23.52 1
 
1.0%
24.24 1
 
1.0%
25.36 1
 
1.0%
27.39 1
 
1.0%
28.45 1
 
1.0%
ValueCountFrequency (%)
1080.06 1
1.0%
932.26 1
1.0%
857.85 1
1.0%
684.61 1
1.0%
673.18 1
1.0%
628.89 1
1.0%
618.6 1
1.0%
615.85 1
1.0%
569.52 1
1.0%
558.89 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0446978
Minimum0
Maximum5.0222659
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:36.799926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11120481
median0.78576268
Q31.7330597
95-th percentile2.9468286
Maximum5.0222659
Range5.0222659
Interquartile range (IQR)1.6218549

Descriptive statistics

Standard deviation1.0930914
Coefficient of variation (CV)1.0463231
Kurtosis1.3638892
Mean1.0446978
Median Absolute Deviation (MAD)0.7856662
Skewness1.1846378
Sum104.46978
Variance1.1948489
MonotonicityNot monotonic
2023-12-10T20:04:37.060497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
2.14907138220344 1
 
1.0%
3.98899212190214 1
 
1.0%
2.94437970078454 1
 
1.0%
1.70408474050255 1
 
1.0%
0.378542705469438 1
 
1.0%
2.99335750085093 1
 
1.0%
4.43732204955285 1
 
1.0%
1.81998458808436 1
 
1.0%
0.365120217987685 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.0001929443032146 1
 
1.0%
0.0185515108652617 1
 
1.0%
0.0596852229787668 1
 
1.0%
0.108985232818476 1
 
1.0%
0.11194466902796 1
 
1.0%
0.121540817702216 1
 
1.0%
0.124643792878373 1
 
1.0%
0.125261454978814 1
 
1.0%
0.151219906438421 1
 
1.0%
ValueCountFrequency (%)
5.02226593364997 1
1.0%
4.43732204955285 1
1.0%
3.98899212190214 1
1.0%
3.16116648193676 1
1.0%
2.99335750085093 1
1.0%
2.94437970078454 1
1.0%
2.81468902755476 1
1.0%
2.63227125194114 1
1.0%
2.6297418015989 1
1.0%
2.52871283137981 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15233903
Minimum0
Maximum0.73235258
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:37.298837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016216013
median0.11458081
Q30.25271675
95-th percentile0.42970992
Maximum0.73235258
Range0.73235258
Interquartile range (IQR)0.23650074

Descriptive statistics

Standard deviation0.15939585
Coefficient of variation (CV)1.0463231
Kurtosis1.3638892
Mean0.15233903
Median Absolute Deviation (MAD)0.11456675
Skewness1.1846378
Sum15.233903
Variance0.025407036
MonotonicityNot monotonic
2023-12-10T20:04:37.483974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.31338005275037 1
 
1.0%
0.581679404385726 1
 
1.0%
0.429352823545081 1
 
1.0%
0.248491590503734 1
 
1.0%
0.0551995312908832 1
 
1.0%
0.436494822501238 1
 
1.0%
0.647055388422466 1
 
1.0%
0.265392239151201 1
 
1.0%
0.053242248778117 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
2.81353594952709e-05 1
 
1.0%
0.0027052025827053 1
 
1.0%
0.0087033676407371 1
 
1.0%
0.0158923515954354 1
 
1.0%
0.0163238999763405 1
 
1.0%
0.017723221377501 1
 
1.0%
0.0181757007750863 1
 
1.0%
0.0182657689706898 1
 
1.0%
0.0220510601225308 1
 
1.0%
ValueCountFrequency (%)
0.732352576208949 1
1.0%
0.647055388422466 1
1.0%
0.581679404385726 1
1.0%
0.460964920507357 1
1.0%
0.436494822501238 1
1.0%
0.429352823545081 1
1.0%
0.410441180891171 1
1.0%
0.383840811718794 1
1.0%
0.383471964370006 1
1.0%
0.36873980410825 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063256234
Minimum0
Maximum0.30409715
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:37.678192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0067334279
median0.047577765
Q30.1049364
95-th percentile0.17842985
Maximum0.30409715
Range0.30409715
Interquartile range (IQR)0.098202973

Descriptive statistics

Standard deviation0.066186458
Coefficient of variation (CV)1.0463231
Kurtosis1.3638892
Mean0.063256234
Median Absolute Deviation (MAD)0.047571924
Skewness1.1846378
Sum6.3256234
Variance0.0043806472
MonotonicityNot monotonic
2023-12-10T20:04:37.896683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.130125820564931 1
 
1.0%
0.241532634694227 1
 
1.0%
0.178281572120922 1
 
1.0%
0.103181972923913 1
 
1.0%
0.0229206812654008 1
 
1.0%
0.181247167622255 1
 
1.0%
0.268678917596914 1
 
1.0%
0.110199684338631 1
 
1.0%
0.0221079524691173 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 21
21.0%
1.16827370123899e-05 1
 
1.0%
0.0011232900842904 1
 
1.0%
0.0036139277085109 1
 
1.0%
0.0065990329439051 1
 
1.0%
0.0067782261844636 1
 
1.0%
0.0073592709700586 1
 
1.0%
0.0075471554648845 1
 
1.0%
0.0075845547752644 1
 
1.0%
0.0091563335559734 1
 
1.0%
ValueCountFrequency (%)
0.304097146853001 1
1.0%
0.268678917596914 1
1.0%
0.241532634694227 1
1.0%
0.191407966161934 1
1.0%
0.181247167622255 1
1.0%
0.178281572120922 1
1.0%
0.170428829111363 1
1.0%
0.159383471133065 1
1.0%
0.159230313446407 1
1.0%
0.153113030530885 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-양산JC8.320201201091.3635.306944129.074722-3.15276북2.4826522.120.8212643.0361811.2607237063.5722.5498623.2882471.365389802.42.5615960.3735350.1551041346.274.2978550.6267180.2602342430600.827759.4917611131.497984469.8355951529.984.8843340.7122390.295745673.182.1490710.313380.130126
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320201201095.335.306944129.074722-3.15276북2.4826266.2320.004422.9170671.2112637310.023.3365693.4029651.413024698.962.2313720.3253810.135109475.161.5169090.2211970.0918492100029.896704.171452977.609967405.936173577.041.8421520.2686250.111542253.90.8105550.1181960.049079
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320201201088.4835.306944129.074722-3.15276북2.4826755.1121.5651293.1446521.30576415647.7349.9540827.2843613.0247091490.074.7569250.693660.2880311117.273.5667920.5201140.2159692150281.846864.596641001.003352415.649884959.653.0636030.4467380.185501422.251.3479980.1965670.081621
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202012010110.6635.306944129.0747223.071416북2.4823483.0911.1194761.6214550.6732822547.688.1332571.1860010.492467257.550.8222070.1198950.04978442.030.1341770.0195660.0081241272391.714062.005126592.326244245.953557154.910.4945370.0721140.02994468.060.2172760.0316830.013156
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320201201092.9335.306944129.0747223.071416북2.4825821.418.5843372.7099891.1252787248.2323.1393743.374211.401084685.082.1870610.318920.132426405.41.2942060.1887230.0783641937229.846184.44578901.822974374.466892469.371.4984250.2185020.090729206.480.659170.0961210.039913
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320201201080.3635.306944129.0747223.071416북2.4826214.7619.8401062.8931071.20131415993.8151.0589137.4454693.0916061499.094.7857210.6978590.2897741070.093.4161740.498150.2068491938028.616186.995787902.194819374.621295660.22.1076340.3073380.127617290.50.9273970.1352340.056154
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202012010100.8935.681944129.1811110.22545북서1.8647061513.086.4294370.9375480.3893011318.185.6012610.8167820.339155122.070.5187050.0756380.03140740.320.1713290.0249830.010374554058.712354.327411343.310722142.5540393.720.3982390.0580720.02411341.210.1751110.0255350.010603
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420201201087.3135.681944129.1811110.22545북서1.8647065510.9123.4171693.4147181.41790512250.3352.054577.5906573.1518931186.315.0409140.7350720.305226812.893.4541630.503690.2091491805123.777670.40081118.506638464.441157726.073.0852440.4498940.186811319.471.3575040.1979530.082197
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420201201078.5735.681944129.1811110.22545북서1.86470610141.6743.0943716.2840712.60935536815.35156.4371922.811859.4722393427.8114.5655812.123970.8819432267.689.6359121.405120.5834523090428.4813131.9666161914.918427795.1378191094.074.6489640.6779170.281494481.422.0456680.2983020.123865
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202012010109.5835.681944129.1811110.19158북서1.8647061284.865.4596760.7961360.3305821193.825.0728250.7397250.307159106.160.4510990.065780.02731435.370.1502960.0219160.0091527673.252242.209308326.961532135.76530297.050.4123890.0601350.0249742.70.1814420.0264580.010986
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 원곡면S2안성JC-안성IC361.320201201098.237.008889127.149167-1.30142남서1.6823538431.1239.7090575.790422.40437511400.9253.696287.8300533.251298861.934.0595350.5919660.245804572.522.6964660.3932020.163272856772.4113454.8835871962.00655814.690374687.533.2381420.472190.196069302.511.4247680.2077610.086269
9192도로공사A-0010-3613E-10경기 안성시 원곡면S3안성JC-안성IC361.320201201087.537.008889127.149167-1.30142남서1.68235310533.8149.6123487.2345293.00401717905.6884.33252812.2974665.1063171873.618.8243661.2867790.5343131341.126.3164340.921070.3824593228501.0415205.6584922217.306554920.6994261270.195.9823660.8723550.362231558.892.6322710.3838410.159383
9293도로공사A-0010-3613E-10경기 안성시 원곡면S4안성JC-안성IC361.320201201079.4637.008889127.149167-1.30142남서1.68235310289.248.4602797.0665332.9342615591.7873.43447610.7082994.4464422070.019.7493741.4216650.590323817.463.8500890.5614240.2331222608461.2112285.3825531791.468568743.877332632.462.9787730.4343680.180364278.311.310790.1911410.079368
9394도로공사A-0010-3613E-10경기 안성시 원곡면S5안성JC-안성IC361.320201201078.5937.008889127.149167-1.30142남서1.6823538028.4137.8123655.5138422.28953111142.1552.477527.6523323.1775031276.916.0140160.8769710.364147721.383.397570.4954380.2057222234445.3110523.8350191534.597687637.215999532.772.5092510.3659020.151935234.471.1043110.1610320.066866
9495도로공사A-0010-3801E-10경기 화성시 동탄면 송리E1오산IC-동탄JC380.1202012010107.9737.158778127.088333-0.660004남동1.725493817.2117.5289122.5560861.0613729748.1744.7643226.5275852.71047660.563.0333410.4423250.183668530.852.4377030.3554690.1476021146627.455265.398578767.806457318.818777472.22.1683780.3161950.131295207.720.9538660.1390940.057756
9596도로공사A-0010-3801E-10경기 화성시 동탄면 송리E2오산IC-동탄JC380.120201201093.5237.158778127.088333-0.660004남동1.725499830.5845.1427556.5827682.7333847314.7933.590064.8981412.033871821.163.7708280.5498660.228323161.580.7419870.1081970.0449273112840.2514294.3940752084.424932865.522557332.871.5285640.2228970.092554146.490.6726930.0980930.040731
9697도로공사A-0010-3801E-10경기 화성시 동탄면 송리E3오산IC-동탄JC380.120201201085.5737.158778127.088333-0.660004남동1.7254911948.1354.8667028.0007253.32216717062.2178.35093811.4252244.7441331917.398.8047981.2839260.5331291109.645.0955490.7430390.3085343461124.5215893.7413612317.643587962.3626991068.464.9064480.7154640.297084470.152.1589640.3148230.130725
9798도로공사A-0010-3801E-10경기 화성시 동탄면 송리E4오산IC-동탄JC380.120201201077.8337.158778127.088333-0.660004남동1.7254914453.3466.3708139.6782684.01873927302.2125.37373418.2821427.5913533078.8714.13842.0616780.8560771879.348.6300691.2584470.5225493911439.4217961.6208922619.1841511087.572371170.445.3747480.7837520.32544515.032.3650560.3448750.143204
9899도로공사A-0010-3801E-10경기 화성시 동탄면 송리E5오산IC-동탄JC380.120201201078.4137.158778127.088333-0.660004남동1.725496957.7531.9505064.6590591.9345969522.5943.7284426.3765322.6477481052.554.8333880.704810.292661646.162.9672150.4326830.1796642014436.859250.4439231348.910338560.112436453.492.082460.3036670.126093199.530.9162570.133610.055479
99100도로공사A-0010-3801E-10경기 화성시 동탄면 송리S1동탄JC-오산IC380.1202012010104.5637.158778127.0883330.671977남동1.725493705.717.016852.4814171.0303679772.9144.877936.5441512.717349551.82.5339070.3694970.153428551.92.5343660.3695640.1534551168819.15367.304287782.666464324.989147464.382.1324680.3109590.12912204.320.9382530.1368170.056811