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 11 (11.0%) zerosZeros
CO(g/km) has 11 (11.0%) zerosZeros
CO_100M(g/km) has 11 (11.0%) zerosZeros
CO_300M(g/km) has 11 (11.0%) zerosZeros
CO_500M(g/km) has 11 (11.0%) zerosZeros
NOX(g/km) has 11 (11.0%) zerosZeros
NOX_100M(g/km) has 11 (11.0%) zerosZeros
NOX_300M(g/km) has 11 (11.0%) zerosZeros
NOX_500M(g/km) has 11 (11.0%) zerosZeros
HC(g/km) has 11 (11.0%) zerosZeros
HC_100M(g/km) has 11 (11.0%) zerosZeros
HC_300M(g/km) has 11 (11.0%) zerosZeros
HC_500M(g/km) has 11 (11.0%) zerosZeros
PM(g/km) has 11 (11.0%) zerosZeros
PM_100M(g/km) has 11 (11.0%) zerosZeros
PM_300M(g/km) has 11 (11.0%) zerosZeros
PM_500M(g/km) has 11 (11.0%) zerosZeros
CO2(g/km) has 11 (11.0%) zerosZeros
CO2_100M(g/km) has 11 (11.0%) zerosZeros
CO2_300M(g/km) has 11 (11.0%) zerosZeros
CO2_500M(g/km) has 11 (11.0%) zerosZeros
TSP(g/km) has 11 (11.0%) zerosZeros
TSP_100M(g/km) has 11 (11.0%) zerosZeros
TSP_300M(g/km) has 11 (11.0%) zerosZeros
TSP_500M(g/km) has 11 (11.0%) zerosZeros
PM10(g/km) has 11 (11.0%) zerosZeros
PM10_100M(g/km) has 11 (11.0%) zerosZeros
PM10_300M(g/km) has 11 (11.0%) zerosZeros
PM10_500M(g/km) has 11 (11.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:05:05.783559
Analysis finished2023-12-10 11:05:06.324880
Duration0.54 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
2023-12-10T20:05:06.470780image/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
2023-12-10T20:05:06.812132image/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

2023-12-10T20:05:07.018610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:07.213525image/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-0010-3801E-10
10 
A-0010-3352E-9
A-0010-1185E-8
Other values (10)
53 

Length

Max length15
Median length14
Mean length14.32
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-0010-3801E-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-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (5) 22
22.0%

Length

2023-12-10T20:05:07.469138image/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-0010-2583e-7 7
 
7.0%
a-0010-0083e-6 6
 
6.0%
a-0010-0538e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (5) 22
22.0%

주소
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충남 천안시 서북구 성거읍 송남리
10 
경기 안성시 원곡면
10 
경기 화성시 동탄면 송리
10 
충북 청원군 남이면
충청 천안시 구성동
Other values (9)
52 

Length

Max length18
Median length10
Mean length11.84
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%
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%
충북 옥천군 옥천읍 삼양리 7
 
7.0%
경남 양산시 동면 6
 
6.0%
울산 울주군 두서면 활천리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (4) 19
19.0%

Length

2023-12-10T20:05:07.688309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 27
 
7.7%
경기 22
 
6.3%
청원군 20
 
5.7%
천안시 19
 
5.4%
남이면 14
 
4.0%
대덕구 12
 
3.4%
대전 12
 
3.4%
동탄면 10
 
2.9%
충남 10
 
2.9%
화성시 10
 
2.9%
Other values (28) 194
55.4%

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

2023-12-10T20:05:07.912831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:08.089707image/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
26 
2
26 
3
25 
4
14 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
26.0%
2 26
26.0%
3 25
25.0%
4 14
14.0%
5 9
 
9.0%

Length

2023-12-10T20:05:08.279965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:08.486410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
26.0%
2 26
26.0%
3 25
25.0%
4 14
14.0%
5 9
 
9.0%

측정구간
Categorical

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
청주JC-남이JC
 
5
오산IC-동탄JC
 
5
안성JC-안성IC
 
5
안성IC-안성JC
 
5
북천안IC-천안IC
 
5
Other values (21)
75 

Length

Max length11
Median length9
Mean length9.26
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청주JC-남이JC 5
 
5.0%
오산IC-동탄JC 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%
남이JC-청주JC 5
 
5.0%
동탄JC-오산IC 5
 
5.0%
옥천IC-금강IC 4
 
4.0%
Other values (16) 51
51.0%

Length

2023-12-10T20:05:08.811525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주jc-남이jc 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%
남이jc-청주jc 5
 
5.0%
동탄jc-오산ic 5
 
5.0%
오산ic-동탄jc 5
 
5.0%
천안jc-천안ic 4
 
4.0%
Other values (16) 51
51.0%

장비이정(km)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.741
Minimum8.3
Maximum393.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:09.039676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1258.3
median298.7
Q3345.2
95-th percentile380.1
Maximum393.2
Range384.9
Interquartile range (IQR)86.9

Descriptive statistics

Standard deviation111.26456
Coefficient of variation (CV)0.41096308
Kurtosis0.35088339
Mean270.741
Median Absolute Deviation (MAD)46.5
Skewness-1.2498465
Sum27074.1
Variance12379.801
MonotonicityIncreasing
2023-12-10T20:05:09.263784image/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%
380.1 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%
269.5 6
 
6.0%
276.1 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
8.3 6
6.0%
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%
ValueCountFrequency (%)
393.2 2
 
2.0%
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
20201001
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201001
2nd row20201001
3rd row20201001
4th row20201001
5th row20201001

Common Values

ValueCountFrequency (%)
20201001 100
100.0%

Length

2023-12-10T20:05:09.525955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:09.718356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201001 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

2023-12-10T20:05:09.895263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:10.073708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.1346
Minimum0
Maximum125.75
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:10.283541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.2375
median89.95
Q398.3625
95-th percentile110.4165
Maximum125.75
Range125.75
Interquartile range (IQR)17.125

Descriptive statistics

Standard deviation31.236409
Coefficient of variation (CV)0.38030756
Kurtosis2.7319485
Mean82.1346
Median Absolute Deviation (MAD)8.745
Skewness-1.9015206
Sum8213.46
Variance975.71328
MonotonicityNot monotonic
2023-12-10T20:05:10.579002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
118.0 2
 
2.0%
84.92 1
 
1.0%
96.51 1
 
1.0%
103.31 1
 
1.0%
87.93 1
 
1.0%
81.14 1
 
1.0%
88.15 1
 
1.0%
95.58 1
 
1.0%
101.54 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 11
11.0%
51.67 1
 
1.0%
59.71 1
 
1.0%
66.84 1
 
1.0%
76.24 1
 
1.0%
76.39 1
 
1.0%
76.94 1
 
1.0%
77.41 1
 
1.0%
77.85 1
 
1.0%
78.39 1
 
1.0%
ValueCountFrequency (%)
125.75 1
1.0%
118.0 2
2.0%
114.72 1
1.0%
113.39 1
1.0%
110.26 1
1.0%
108.91 1
1.0%
108.83 1
1.0%
107.66 1
1.0%
107.49 1
1.0%
106.52 1
1.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.515046
Minimum35.306944
Maximum37.279444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:10.783015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306944
5-th percentile35.306944
Q136.307222
median36.584444
Q336.868903
95-th percentile37.158778
Maximum37.279444
Range1.9725
Interquartile range (IQR)0.56168056

Descriptive statistics

Standard deviation0.51488352
Coefficient of variation (CV)0.014100585
Kurtosis-0.039204354
Mean36.515046
Median Absolute Deviation (MAD)0.28445834
Skewness-0.79878217
Sum3651.5046
Variance0.26510504
MonotonicityIncreasing
2023-12-10T20:05:10.993238image/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%
37.15877778 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%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
35.30694444 6
6.0%
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%
ValueCountFrequency (%)
37.27944444 2
 
2.0%
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)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.61723
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:11.223393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.08833
Q1127.17667
median127.42351
Q3127.57444
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)0.3977777

Descriptive statistics

Standard deviation0.67324615
Coefficient of variation (CV)0.0052755114
Kurtosis0.63961097
Mean127.61723
Median Absolute Deviation (MAD)0.2468413
Skewness1.4754254
Sum12761.723
Variance0.45326038
MonotonicityNot monotonic
2023-12-10T20:05:11.420197image/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%
127.0883333 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%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
127.0883333 10
10.0%
127.1058333 2
 
2.0%
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%
129.0747222 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%

기울기(°)
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02843025
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size1.0 KiB
2023-12-10T20:05:11.615098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-3.15276
Q1-0.807188
median0.166426
Q30.688696
95-th percentile3.071416
Maximum12.47809
Range25.72385
Interquartile range (IQR)1.495884

Descriptive statistics

Standard deviation3.4424326
Coefficient of variation (CV)-121.08344
Kurtosis9.5934258
Mean-0.02843025
Median Absolute Deviation (MAD)0.973614
Skewness-0.26837909
Sum-2.843025
Variance11.850342
MonotonicityNot monotonic
2023-12-10T20:05:11.837445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.758683 5
 
5.0%
0.671977 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%
0.166426 4
 
4.0%
Other values (16) 51
51.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-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%
-0.807188 4
4.0%
-0.688696 3
3.0%
-0.660004 5
5.0%
-0.624001 5
5.0%
ValueCountFrequency (%)
12.47809 3
3.0%
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%
0.688696 3
3.0%
0.671977 5
5.0%
0.61369 5
5.0%
0.2594 4
4.0%

풍향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
88 
북동
12 

Length

Max length2
Median length1
Mean length1.12
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
88
88.0%
북동 12
 
12.0%

Length

2023-12-10T20:05:12.459203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:05:12.624888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
88
88.0%
북동 12
 
12.0%

풍속(m/s)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94699288
Minimum0.47111111
Maximum1.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:12.780473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.47111111
5-th percentile0.47111111
Q10.73555556
median1.0011111
Q31.0888889
95-th percentile1.34
Maximum1.34
Range0.86888889
Interquartile range (IQR)0.35333333

Descriptive statistics

Standard deviation0.24927537
Coefficient of variation (CV)0.26322835
Kurtosis-0.69708445
Mean0.94699288
Median Absolute Deviation (MAD)0.13666667
Skewness-0.25905926
Sum94.699288
Variance0.062138211
MonotonicityNot monotonic
2023-12-10T20:05:12.964089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.735555555555556 10
10.0%
1.08888888888889 10
10.0%
0.864444444444446 10
10.0%
1.02222222222222 9
9.0%
1.00111111111111 9
9.0%
1.20444444444445 8
8.0%
0.471111111111112 7
 
7.0%
1.33932584269663 6
 
6.0%
1.34 6
 
6.0%
0.566666666666667 6
 
6.0%
Other values (4) 19
19.0%
ValueCountFrequency (%)
0.471111111111112 7
7.0%
0.566666666666667 6
6.0%
0.68 6
6.0%
0.735555555555556 10
10.0%
0.864444444444446 10
10.0%
0.951111111111111 6
6.0%
0.996666666666667 2
 
2.0%
1.00111111111111 9
9.0%
1.02222222222222 9
9.0%
1.08222222222222 5
5.0%
ValueCountFrequency (%)
1.34 6
6.0%
1.33932584269663 6
6.0%
1.20444444444445 8
8.0%
1.08888888888889 10
10.0%
1.08222222222222 5
5.0%
1.02222222222222 9
9.0%
1.00111111111111 9
9.0%
0.996666666666667 2
 
2.0%
0.951111111111111 6
6.0%
0.864444444444446 10
10.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5537.55
Minimum0
Maximum15088.82
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:13.184234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12155.5825
median4727.08
Q39086.93
95-th percentile13531.467
Maximum15088.82
Range15088.82
Interquartile range (IQR)6931.3475

Descriptive statistics

Standard deviation4295.5505
Coefficient of variation (CV)0.77571317
Kurtosis-0.75626896
Mean5537.55
Median Absolute Deviation (MAD)3261.265
Skewness0.46797426
Sum553755
Variance18451754
MonotonicityNot monotonic
2023-12-10T20:05:13.438770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
9637.36 1
 
1.0%
13637.04 1
 
1.0%
9075.74 1
 
1.0%
5715.66 1
 
1.0%
68.42 1
 
1.0%
13424.45 1
 
1.0%
10490.99 1
 
1.0%
9520.32 1
 
1.0%
5687.28 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
2.26 1
 
1.0%
7.14 1
 
1.0%
58.66 1
 
1.0%
68.42 1
 
1.0%
450.03 1
 
1.0%
618.53 1
 
1.0%
641.59 1
 
1.0%
823.2 1
 
1.0%
1010.63 1
 
1.0%
ValueCountFrequency (%)
15088.82 1
1.0%
14970.16 1
1.0%
14845.9 1
1.0%
14289.83 1
1.0%
13637.04 1
1.0%
13525.91 1
1.0%
13424.45 1
1.0%
12427.21 1
1.0%
12034.24 1
1.0%
11523.03 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.957363
Minimum0
Maximum209.32456
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:13.703966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.791693
median34.679967
Q380.232946
95-th percentile124.69606
Maximum209.32456
Range209.32456
Interquartile range (IQR)63.441252

Descriptive statistics

Standard deviation42.990801
Coefficient of variation (CV)0.86054984
Kurtosis0.87158888
Mean49.957363
Median Absolute Deviation (MAD)30.058754
Skewness0.95481623
Sum4995.7363
Variance1848.2089
MonotonicityNot monotonic
2023-12-10T20:05:13.972986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
76.2776340984069 1
 
1.0%
146.901438246309 1
 
1.0%
97.766029809222 1
 
1.0%
61.5704489043734 1
 
1.0%
0.737036512675216 1
 
1.0%
144.611368204952 1
 
1.0%
113.011439405299 1
 
1.0%
102.555151305936 1
 
1.0%
61.2647327946142 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0175180005106511 1
 
1.0%
0.120087078137381 1
 
1.0%
0.737036512675216 1
 
1.0%
0.820230294255081 1
 
1.0%
3.27475876296895 1
 
1.0%
4.5008922464262 1
 
1.0%
6.9113600726 1
 
1.0%
12.2601974458813 1
 
1.0%
13.8453337146628 1
 
1.0%
ValueCountFrequency (%)
209.324560890652 1
1.0%
153.933447382661 1
1.0%
146.901438246309 1
1.0%
144.611368204952 1
1.0%
138.305548574693 1
1.0%
123.97976796873 1
1.0%
118.026087488575 1
1.0%
113.011439405299 1
1.0%
110.306979928153 1
1.0%
107.30577296544 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2848399
Minimum0
Maximum30.523947
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:14.236532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.448584
median5.0570725
Q311.69966
95-th percentile18.183322
Maximum30.523947
Range30.523947
Interquartile range (IQR)9.2510762

Descriptive statistics

Standard deviation6.2689679
Coefficient of variation (CV)0.86054984
Kurtosis0.87158888
Mean7.2848399
Median Absolute Deviation (MAD)4.383202
Skewness0.95481623
Sum728.48399
Variance39.299958
MonotonicityNot monotonic
2023-12-10T20:05:14.497133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
11.1228920525309 1
 
1.0%
21.42133613986 1
 
1.0%
14.256354550399 1
 
1.0%
8.97827344652155 1
 
1.0%
0.107475509251951 1
 
1.0%
21.0873955009844 1
 
1.0%
16.4794576557603 1
 
1.0%
14.954709737526 1
 
1.0%
8.933693572909 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0025544949179306 1
 
1.0%
0.0175112354075207 1
 
1.0%
0.107475509251951 1
 
1.0%
0.119606921859228 1
 
1.0%
0.477529077155055 1
 
1.0%
0.656325267410431 1
 
1.0%
1.00782244929785 1
 
1.0%
1.78779604723084 1
 
1.0%
2.01894243522004 1
 
1.0%
ValueCountFrequency (%)
30.5239474486896 1
1.0%
22.4467517739521 1
1.0%
21.42133613986 1
1.0%
21.0873955009844 1
1.0%
20.167873653209 1
1.0%
18.0788719014924 1
1.0%
17.2106993882942 1
1.0%
16.4794576557603 1
1.0%
16.0850902742822 1
1.0%
15.6474508342532 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0249078
Minimum0
Maximum12.674558
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:14.763360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.0167335
median2.0998647
Q34.858088
95-th percentile7.55032
Maximum12.674558
Range12.674558
Interquartile range (IQR)3.8413545

Descriptive statistics

Standard deviation2.603084
Coefficient of variation (CV)0.86054984
Kurtosis0.87158888
Mean3.0249078
Median Absolute Deviation (MAD)1.8200512
Skewness0.95481623
Sum302.49078
Variance6.7760461
MonotonicityNot monotonic
2023-12-10T20:05:15.017239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
4.61859471490888 1
 
1.0%
8.8948512144674 1
 
1.0%
5.91971255941101 1
 
1.0%
3.72807774212606 1
 
1.0%
0.0446274059542144 1
 
1.0%
8.75618795472162 1
 
1.0%
6.84281890662969 1
 
1.0%
6.20969285960284 1
 
1.0%
3.7095666959264 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.001060711249511 1
 
1.0%
0.0072712473449113 1
 
1.0%
0.0446274059542144 1
 
1.0%
0.0496647719456967 1
 
1.0%
0.198285954907008 1
 
1.0%
0.272528079658315 1
 
1.0%
0.418481399973172 1
 
1.0%
0.742352378866839 1
 
1.0%
0.838332046825072 1
 
1.0%
ValueCountFrequency (%)
12.6745581723592 1
1.0%
9.32063788989639 1
1.0%
8.8948512144674 1
1.0%
8.75618795472162 1
1.0%
8.37437190127785 1
1.0%
7.50694889615046 1
1.0%
7.14645479424341 1
1.0%
6.84281890662969 1
1.0%
6.67906445363083 1
1.0%
6.4973420027424 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6509.4474
Minimum0
Maximum68463
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:15.276747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12354.0125
median4657.32
Q37093.0575
95-th percentile15733.234
Maximum68463
Range68463
Interquartile range (IQR)4739.045

Descriptive statistics

Standard deviation9254.4211
Coefficient of variation (CV)1.4216907
Kurtosis22.663256
Mean6509.4474
Median Absolute Deviation (MAD)2419.695
Skewness4.2541692
Sum650944.74
Variance85644310
MonotonicityNot monotonic
2023-12-10T20:05:15.557714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
5870.57 1
 
1.0%
31603.3 1
 
1.0%
11814.76 1
 
1.0%
4142.3 1
 
1.0%
90.91 1
 
1.0%
38552.1 1
 
1.0%
27893.5 1
 
1.0%
12103.82 1
 
1.0%
4060.09 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
4.4 1
 
1.0%
4.59 1
 
1.0%
90.91 1
 
1.0%
319.36 1
 
1.0%
403.75 1
 
1.0%
424.33 1
 
1.0%
840.82 1
 
1.0%
1163.48 1
 
1.0%
1427.2 1
 
1.0%
ValueCountFrequency (%)
68463.0 1
1.0%
39353.3 1
1.0%
38552.1 1
1.0%
31603.3 1
1.0%
27893.5 1
1.0%
15093.22 1
1.0%
13328.23 1
1.0%
12103.82 1
1.0%
11814.76 1
1.0%
11520.58 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.559002
Minimum0
Maximum957.30356
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:15.835240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.423729
median42.686228
Q367.171901
95-th percentile138.88974
Maximum957.30356
Range957.30356
Interquartile range (IQR)49.748172

Descriptive statistics

Standard deviation115.89188
Coefficient of variation (CV)1.8233748
Kurtosis37.343382
Mean63.559002
Median Absolute Deviation (MAD)25.408744
Skewness5.5164787
Sum6355.9002
Variance13430.929
MonotonicityNot monotonic
2023-12-10T20:05:16.161750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
46.464300431766 1
 
1.0%
340.438263972942 1
 
1.0%
127.271404684224 1
 
1.0%
44.6218407841939 1
 
1.0%
0.979304141585851 1
 
1.0%
415.292390241248 1
 
1.0%
300.475416052414 1
 
1.0%
130.385227752829 1
 
1.0%
43.7362551117732 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0355785939574727 1
 
1.0%
0.0740032414291986 1
 
1.0%
0.979304141585851 1
 
1.0%
2.93799046852146 1
 
1.0%
3.08774611890455 1
 
1.0%
4.46554290442043 1
 
1.0%
10.0752843821256 1
 
1.0%
11.891509121089 1
 
1.0%
13.223153107979 1
 
1.0%
ValueCountFrequency (%)
957.303556692561 1
1.0%
423.923107194703 1
1.0%
415.292390241248 1
1.0%
340.438263972942 1
1.0%
300.475416052414 1
1.0%
130.385227752829 1
1.0%
127.271404684224 1
1.0%
110.506256843406 1
1.0%
105.598723876263 1
1.0%
103.434835113146 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2682466
Minimum0
Maximum139.5951
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:16.442169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5407481
median6.2245547
Q39.7950836
95-th percentile20.253061
Maximum139.5951
Range139.5951
Interquartile range (IQR)7.2543355

Descriptive statistics

Standard deviation16.899487
Coefficient of variation (CV)1.8233748
Kurtosis37.343382
Mean9.2682466
Median Absolute Deviation (MAD)3.7051323
Skewness5.5164787
Sum926.82466
Variance285.59268
MonotonicityNot monotonic
2023-12-10T20:05:16.717348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
6.77547755784013 1
 
1.0%
49.6430979471233 1
 
1.0%
18.5588621410344 1
 
1.0%
6.50680797974796 1
 
1.0%
0.142803252646811 1
 
1.0%
60.558412455892 1
 
1.0%
43.8156696480457 1
 
1.0%
19.0129233907329 1
 
1.0%
6.3776708617181 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0051881113598679 1
 
1.0%
0.0107912375060352 1
 
1.0%
0.142803252646811 1
 
1.0%
0.428421138371561 1
 
1.0%
0.45025867899741 1
 
1.0%
0.651170585832985 1
 
1.0%
1.46918951938591 1
 
1.0%
1.73403349302783 1
 
1.0%
1.92821534585602 1
 
1.0%
ValueCountFrequency (%)
139.595102135157 1
1.0%
61.8169534967084 1
1.0%
60.558412455892 1
1.0%
49.6430979471233 1
1.0%
43.8156696480457 1
1.0%
19.0129233907329 1
1.0%
18.5588621410344 1
1.0%
16.1141490625248 1
1.0%
15.3985269790273 1
1.0%
15.0829862388047 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8484842
Minimum0
Maximum57.964529
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:16.976571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.0550031
median2.5846421
Q34.0672445
95-th percentile8.4097444
Maximum57.964529
Range57.964529
Interquartile range (IQR)3.0122414

Descriptive statistics

Standard deviation7.0172293
Coefficient of variation (CV)1.8233748
Kurtosis37.343382
Mean3.8484842
Median Absolute Deviation (MAD)1.5384941
Skewness5.5164787
Sum384.84842
Variance49.241507
MonotonicityNot monotonic
2023-12-10T20:05:17.279962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2.81340362666774 1
 
1.0%
20.6134653404388 1
 
1.0%
7.70625680753601 1
 
1.0%
2.70184308220027 1
 
1.0%
0.0592966599721957 1
 
1.0%
25.1458669553854 1
 
1.0%
18.1937232970459 1
 
1.0%
7.89479813996988 1
 
1.0%
2.64822105584107 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0021542763872811 1
 
1.0%
0.004480880716752 1
 
1.0%
0.0592966599721957 1
 
1.0%
0.177894705450091 1
 
1.0%
0.186962378609627 1
 
1.0%
0.270387684428532 1
 
1.0%
0.610056352016049 1
 
1.0%
0.720028378280539 1
 
1.0%
0.800659141841662 1
 
1.0%
ValueCountFrequency (%)
57.9645291803313 1
1.0%
25.6684550531714 1
1.0%
25.1458669553854 1
1.0%
20.6134653404388 1
1.0%
18.1937232970459 1
1.0%
7.89479813996988 1
1.0%
7.70625680753601 1
1.0%
6.69113062897133 1
1.0%
6.3939805391292 1
1.0%
6.26295752926382 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649.289
Minimum0
Maximum4284.17
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:17.551000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1257.3425
median436.245
Q3747.5925
95-th percentile1516.684
Maximum4284.17
Range4284.17
Interquartile range (IQR)490.25

Descriptive statistics

Standard deviation785.67558
Coefficient of variation (CV)1.2100553
Kurtosis10.416704
Mean649.289
Median Absolute Deviation (MAD)284.65
Skewness3.0099796
Sum64928.9
Variance617286.12
MonotonicityNot monotonic
2023-12-10T20:05:17.759265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
774.06 1
 
1.0%
3196.78 1
 
1.0%
931.67 1
 
1.0%
436.31 1
 
1.0%
8.97 1
 
1.0%
3921.59 1
 
1.0%
2627.31 1
 
1.0%
1006.6 1
 
1.0%
441.85 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.61 1
 
1.0%
0.66 1
 
1.0%
8.97 1
 
1.0%
21.35 1
 
1.0%
41.62 1
 
1.0%
46.45 1
 
1.0%
92.45 1
 
1.0%
124.6 1
 
1.0%
140.16 1
 
1.0%
ValueCountFrequency (%)
4284.17 1
1.0%
4012.58 1
1.0%
3921.59 1
1.0%
3196.78 1
1.0%
2627.31 1
1.0%
1458.23 1
1.0%
1343.07 1
1.0%
1316.26 1
1.0%
1289.28 1
1.0%
1185.48 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1908596
Minimum0
Maximum59.904637
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:17.986371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.8816697
median4.3200637
Q37.0502489
95-th percentile13.110272
Maximum59.904637
Range59.904637
Interquartile range (IQR)5.1685792

Descriptive statistics

Standard deviation9.1282643
Coefficient of variation (CV)1.4744744
Kurtosis16.704228
Mean6.1908596
Median Absolute Deviation (MAD)2.6533662
Skewness3.8089115
Sum619.08596
Variance83.325209
MonotonicityNot monotonic
2023-12-10T20:05:18.320318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
6.12651861611611 1
 
1.0%
34.4364744663823 1
 
1.0%
10.0361708237959 1
 
1.0%
4.70003508981765 1
 
1.0%
0.0966269733805421 1
 
1.0%
42.2443001716165 1
 
1.0%
28.3020081864473 1
 
1.0%
10.8433346047774 1
 
1.0%
4.75971328742392 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0047283098723438 1
 
1.0%
0.0111004862143798 1
 
1.0%
0.0966269733805421 1
 
1.0%
0.298532505665632 1
 
1.0%
0.302858608792231 1
 
1.0%
0.338005343065813 1
 
1.0%
1.15263958459062 1
 
1.0%
1.2158555173249 1
 
1.0%
1.35480050254318 1
 
1.0%
ValueCountFrequency (%)
59.9046372270506 1
1.0%
43.2244660922292 1
1.0%
42.2443001716165 1
1.0%
34.4364744663823 1
1.0%
28.3020081864473 1
1.0%
12.3107064120463 1
1.0%
10.8662215948184 1
1.0%
10.8433346047774 1
1.0%
10.7283635349725 1
1.0%
10.7137894448691 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90275825
Minimum0
Maximum8.7353629
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:18.581394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.27438724
median0.62995664
Q31.0280754
95-th percentile1.9117548
Maximum8.7353629
Range8.7353629
Interquartile range (IQR)0.75368814

Descriptive statistics

Standard deviation1.331094
Coefficient of variation (CV)1.4744744
Kurtosis16.704228
Mean0.90275825
Median Absolute Deviation (MAD)0.3869169
Skewness3.8089115
Sum90.275825
Variance1.7718111
MonotonicityNot monotonic
2023-12-10T20:05:19.172044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.893375968333864 1
 
1.0%
5.02156618629715 1
 
1.0%
1.46348593546865 1
 
1.0%
0.685364505140582 1
 
1.0%
0.0140902560361005 1
 
1.0%
6.16011228189648 1
 
1.0%
4.12703128051363 1
 
1.0%
1.58118748338225 1
 
1.0%
0.694066848333447 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0006894875663441 1
 
1.0%
0.0016186856259052 1
 
1.0%
0.0140902560361005 1
 
1.0%
0.0435323522280005 1
 
1.0%
0.0441631895455712 1
 
1.0%
0.0492883266312297 1
 
1.0%
0.168079225665748 1
 
1.0%
0.177297445450808 1
 
1.0%
0.197558562488466 1
 
1.0%
ValueCountFrequency (%)
8.73536287796875 1
1.0%
6.30304120014897 1
1.0%
6.16011228189648 1
1.0%
5.02156618629715 1
1.0%
4.12703128051363 1
1.0%
1.79516132258291 1
1.0%
1.58452489050875 1
1.0%
1.58118748338225 1
1.0%
1.564422270175 1
1.0%
1.5622970596477 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37485525
Minimum0
Maximum3.6272132
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:19.413313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11393471
median0.26157895
Q30.42689109
95-th percentile0.79382418
Maximum3.6272132
Range3.6272132
Interquartile range (IQR)0.31295638

Descriptive statistics

Standard deviation0.55271448
Coefficient of variation (CV)1.4744744
Kurtosis16.704228
Mean0.37485525
Median Absolute Deviation (MAD)0.16066077
Skewness3.8089115
Sum37.485525
Variance0.3054933
MonotonicityNot monotonic
2023-12-10T20:05:19.784569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.370959414717554 1
 
1.0%
2.08512129211215 1
 
1.0%
0.607688034278908 1
 
1.0%
0.284586136975786 1
 
1.0%
0.0058507429320272 1
 
1.0%
2.55788349774901 1
 
1.0%
1.71368064802056 1
 
1.0%
0.656561631591818 1
 
1.0%
0.288199639299468 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0002862981691158 1
 
1.0%
0.0006721321075128 1
 
1.0%
0.0058507429320272 1
 
1.0%
0.018076080481429 1
 
1.0%
0.0183380251166137 1
 
1.0%
0.0204661524907906 1
 
1.0%
0.0697920846196798 1
 
1.0%
0.0736197960619086 1
 
1.0%
0.0820328857175781 1
 
1.0%
ValueCountFrequency (%)
3.6272131951346 1
1.0%
2.61723233826018 1
1.0%
2.55788349774901 1
1.0%
2.08512129211215 1
1.0%
1.71368064802056 1
1.0%
0.745410686153671 1
1.0%
0.657947434029093 1
1.0%
0.656561631591818 1
1.0%
0.649600157476306 1
1.0%
0.648717699383292 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.1433
Minimum0
Maximum4188.33
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:20.060004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.1425
median118.545
Q3345.025
95-th percentile2126.7195
Maximum4188.33
Range4188.33
Interquartile range (IQR)320.8825

Descriptive statistics

Standard deviation691.72624
Coefficient of variation (CV)1.848827
Kurtosis11.663148
Mean374.1433
Median Absolute Deviation (MAD)114.23
Skewness3.2410386
Sum37414.33
Variance478485.19
MonotonicityNot monotonic
2023-12-10T20:05:20.337376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
49.5 1
 
1.0%
2116.64 1
 
1.0%
587.75 1
 
1.0%
50.5 1
 
1.0%
4.09 1
 
1.0%
2463.9 1
 
1.0%
1875.19 1
 
1.0%
604.43 1
 
1.0%
52.14 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.21 1
 
1.0%
0.27 1
 
1.0%
2.28 1
 
1.0%
4.09 1
 
1.0%
5.62 1
 
1.0%
7.43 1
 
1.0%
9.62 1
 
1.0%
13.72 1
 
1.0%
14.37 1
 
1.0%
ValueCountFrequency (%)
4188.33 1
1.0%
2695.64 1
1.0%
2579.56 1
1.0%
2463.9 1
1.0%
2318.23 1
1.0%
2116.64 1
1.0%
1875.19 1
1.0%
1408.91 1
1.0%
1333.25 1
1.0%
840.13 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6332832
Minimum0
Maximum58.564527
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:20.605844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.27928045
median1.0428739
Q33.2246515
95-th percentile19.759533
Maximum58.564527
Range58.564527
Interquartile range (IQR)2.945371

Descriptive statistics

Standard deviation7.7798779
Coefficient of variation (CV)2.1412804
Kurtosis26.325412
Mean3.6332832
Median Absolute Deviation (MAD)1.0397895
Skewness4.5724488
Sum363.32832
Variance60.5265
MonotonicityNot monotonic
2023-12-10T20:05:20.922292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.391781866389876 1
 
1.0%
22.8009494912141 1
 
1.0%
6.33138278756005 1
 
1.0%
0.543998010670834 1
 
1.0%
0.04405845274542 1
 
1.0%
26.5417168018191 1
 
1.0%
20.1999926659374 1
 
1.0%
6.51106371464895 1
 
1.0%
0.561664480720342 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0016277788085118 1
 
1.0%
0.0045411079967917 1
 
1.0%
0.0149992480615639 1
 
1.0%
0.0369718307482407 1
 
1.0%
0.0439344737560745 1
 
1.0%
0.04405845274542 1
 
1.0%
0.0700023982840284 1
 
1.0%
0.0811279919156584 1
 
1.0%
0.0850142901283879 1
 
1.0%
ValueCountFrequency (%)
58.5645269065357 1
1.0%
27.7876338298229 1
1.0%
26.5417168018191 1
1.0%
22.8009494912141 1
1.0%
20.1999926659374 1
1.0%
19.7363509044033 1
1.0%
16.973112417502 1
1.0%
11.1071273293976 1
1.0%
10.2522951108472 1
1.0%
7.3412166696241 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52980952
Minimum0
Maximum8.5399465
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:21.182956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.040724995
median0.15207307
Q30.47022238
95-th percentile2.8813578
Maximum8.5399465
Range8.5399465
Interquartile range (IQR)0.42949738

Descriptive statistics

Standard deviation1.1344707
Coefficient of variation (CV)2.1412804
Kurtosis26.325412
Mean0.52980952
Median Absolute Deviation (MAD)0.15162329
Skewness4.5724488
Sum52.980952
Variance1.2870238
MonotonicityNot monotonic
2023-12-10T20:05:21.444170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.0571300809143042 1
 
1.0%
3.32486059489987 1
 
1.0%
0.923249496679831 1
 
1.0%
0.0793264135811679 1
 
1.0%
0.0064246540900391 1
 
1.0%
3.87034357272554 1
 
1.0%
2.94558608877763 1
 
1.0%
0.94945077546268 1
 
1.0%
0.0819025584974672 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0002373645720201 1
 
1.0%
0.0006621895742339 1
 
1.0%
0.0021872075481873 1
 
1.0%
0.0053912747459705 1
 
1.0%
0.0064065753316773 1
 
1.0%
0.0064246540900391 1
 
1.0%
0.0102078299718499 1
 
1.0%
0.011830176790123 1
 
1.0%
0.01239688125094 1
 
1.0%
ValueCountFrequency (%)
8.53994645466517 1
1.0%
4.05202462212748 1
1.0%
3.87034357272554 1
1.0%
3.32486059489987 1
1.0%
2.94558608877763 1
1.0%
2.8779773155698 1
1.0%
2.47503871150205 1
1.0%
1.61965404091087 1
1.0%
1.49500142678161 1
1.0%
1.07050463108392 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21999453
Minimum0
Maximum3.5460698
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:21.688764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016910373
median0.063145796
Q30.19525197
95-th percentile1.1964356
Maximum3.5460698
Range3.5460698
Interquartile range (IQR)0.1783416

Descriptive statistics

Standard deviation0.47106997
Coefficient of variation (CV)2.1412804
Kurtosis26.325412
Mean0.21999453
Median Absolute Deviation (MAD)0.062959034
Skewness4.5724488
Sum21.999453
Variance0.22190692
MonotonicityNot monotonic
2023-12-10T20:05:21.947646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.0237223096769229 1
 
1.0%
1.38059270007203 1
 
1.0%
0.383363897246266 1
 
1.0%
0.0329389652249025 1
 
1.0%
0.0026677300548485 1
 
1.0%
1.60709537460668 1
 
1.0%
1.22310531089277 1
 
1.0%
0.39424353962154 1
 
1.0%
0.0340086662737904 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
9.85616647775709e-05 1
 
1.0%
0.0002749631348916 1
 
1.0%
0.0009082013180347 1
 
1.0%
0.0022386365821733 1
 
1.0%
0.0026602231530978 1
 
1.0%
0.0026677300548485 1
 
1.0%
0.0042386305050894 1
 
1.0%
0.0049122828614404 1
 
1.0%
0.0051475974015154 1
 
1.0%
ValueCountFrequency (%)
3.54606979685168 1
1.0%
1.68253538882276 1
1.0%
1.60709537460668 1
1.0%
1.38059270007203 1
1.0%
1.22310531089277 1
1.0%
1.19503189966623 1
1.0%
1.02771838997909 1
1.0%
0.672534225631512 1
1.0%
0.620774314441331 1
1.0%
0.444509126588589 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1790501.5
Minimum0
Maximum6812072.4
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:22.280651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1684038.09
median1575259.1
Q32726211.5
95-th percentile4064022.5
Maximum6812072.4
Range6812072.4
Interquartile range (IQR)2042173.4

Descriptive statistics

Standard deviation1417236.5
Coefficient of variation (CV)0.79153046
Kurtosis0.7482605
Mean1790501.5
Median Absolute Deviation (MAD)998323.56
Skewness0.8136347
Sum1.7905015 × 108
Variance2.0085592 × 1012
MonotonicityNot monotonic
2023-12-10T20:05:22.560697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2807707.98 1
 
1.0%
4230693.49 1
 
1.0%
3069303.29 1
 
1.0%
2070344.04 1
 
1.0%
23530.33 1
 
1.0%
3847256.3 1
 
1.0%
3550680.89 1
 
1.0%
3168300.26 1
 
1.0%
1941744.69 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
523.94 1
 
1.0%
1885.37 1
 
1.0%
23530.33 1
 
1.0%
27209.7 1
 
1.0%
168476.64 1
 
1.0%
209766.67 1
 
1.0%
210474.82 1
 
1.0%
270000.28 1
 
1.0%
344865.56 1
 
1.0%
ValueCountFrequency (%)
6812072.41 1
1.0%
5786649.7 1
1.0%
5090474.69 1
1.0%
4230693.49 1
1.0%
4085434.43 1
1.0%
4062895.6 1
1.0%
4038021.25 1
1.0%
3964804.46 1
1.0%
3847256.3 1
1.0%
3649296.18 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16210.192
Minimum0
Maximum95251.759
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:22.824161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15728.9767
median10797.092
Q325213.688
95-th percentile38408.518
Maximum95251.759
Range95251.759
Interquartile range (IQR)19484.711

Descriptive statistics

Standard deviation14696.221
Coefficient of variation (CV)0.90660376
Kurtosis7.0156118
Mean16210.192
Median Absolute Deviation (MAD)10314.3
Skewness1.8086189
Sum1621019.2
Variance2.1597891 × 108
MonotonicityNot monotonic
2023-12-10T20:05:23.064685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
22222.4055087303 1
 
1.0%
45574.0364815455 1
 
1.0%
33063.2650278306 1
 
1.0%
22302.2383992914 1
 
1.0%
253.474311097589 1
 
1.0%
41443.5598760561 1
 
1.0%
38248.7790235038 1
 
1.0%
34129.6839336215 1
 
1.0%
20916.9356156565 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
4.06123061396041 1
 
1.0%
31.7098843848564 1
 
1.0%
253.474311097589 1
 
1.0%
380.467443532091 1
 
1.0%
1225.96349842358 1
 
1.0%
1531.57403101863 1
 
1.0%
2259.65645910981 1
 
1.0%
4406.45381933342 1
 
1.0%
4541.11270608892 1
 
1.0%
ValueCountFrequency (%)
95251.7585636076 1
1.0%
45574.0364815455 1
1.0%
43498.5252880505 1
1.0%
42367.4337226263 1
1.0%
41443.5598760561 1
1.0%
38248.7790235038 1
1.0%
37447.4776693664 1
1.0%
37270.3308868483 1
1.0%
34129.6839336215 1
1.0%
33063.2650278306 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2363.7888
Minimum0
Maximum13889.721
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:23.297285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1835.40596
median1574.4443
Q33676.6889
95-th percentile5600.7741
Maximum13889.721
Range13889.721
Interquartile range (IQR)2841.2829

Descriptive statistics

Standard deviation2143.0198
Coefficient of variation (CV)0.90660376
Kurtosis7.0156118
Mean2363.7888
Median Absolute Deviation (MAD)1504.043
Skewness1.8086189
Sum236378.88
Variance4592533.8
MonotonicityNot monotonic
2023-12-10T20:05:23.611881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
3240.49664810379 1
 
1.0%
6645.65824797811 1
 
1.0%
4821.32321165504 1
 
1.0%
3252.13797172963 1
 
1.0%
36.9619146392349 1
 
1.0%
6043.34741399117 1
 
1.0%
5577.48080742355 1
 
1.0%
4976.82963909073 1
 
1.0%
3050.1315316431 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.592213304115299 1
 
1.0%
4.62397169471672 1
 
1.0%
36.9619146392349 1
 
1.0%
55.4801988017904 1
 
1.0%
178.771402842887 1
 
1.0%
223.33588107232 1
 
1.0%
329.505695444839 1
 
1.0%
642.554147703065 1
 
1.0%
662.190260949092 1
 
1.0%
ValueCountFrequency (%)
13889.7206348836 1
1.0%
6645.65824797811 1
1.0%
6343.00482627811 1
1.0%
6178.06775747088 1
1.0%
6043.34741399117 1
1.0%
5577.48080742355 1
1.0%
5460.63412531331 1
1.0%
5434.80237839705 1
1.0%
4976.82963909073 1
1.0%
4821.32321165504 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean981.52372
Minimum0
Maximum5767.474
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:23.859851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1346.88834
median653.76165
Q31526.6835
95-th percentile2325.6277
Maximum5767.474
Range5767.474
Interquartile range (IQR)1179.7952

Descriptive statistics

Standard deviation889.85309
Coefficient of variation (CV)0.90660376
Kurtosis7.0156118
Mean981.52372
Median Absolute Deviation (MAD)624.52869
Skewness1.8086189
Sum98152.372
Variance791838.53
MonotonicityNot monotonic
2023-12-10T20:05:24.110580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1345.56198351369 1
 
1.0%
2759.49833157091 1
 
1.0%
2001.97374918789 1
 
1.0%
1350.39584826028 1
 
1.0%
15.3478162693164 1
 
1.0%
2509.39884112845 1
 
1.0%
2315.95553188982 1
 
1.0%
2066.54518982553 1
 
1.0%
1266.51605583265 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.245906660207431 1
 
1.0%
1.92002683566884 1
 
1.0%
15.3478162693164 1
 
1.0%
23.0372237506107 1
 
1.0%
74.2318321932409 1
 
1.0%
92.7364857177979 1
 
1.0%
136.82172373215 1
 
1.0%
266.809852744089 1
 
1.0%
274.96342003856 1
 
1.0%
ValueCountFrequency (%)
5767.47396386332 1
1.0%
2759.49833157091 1
1.0%
2633.82656497361 1
1.0%
2565.33920838613 1
1.0%
2509.39884112845 1
1.0%
2315.95553188982 1
1.0%
2267.43690329032 1
1.0%
2256.71070283626 1
1.0%
2066.54518982553 1
1.0%
2001.97374918789 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.0627
Minimum0
Maximum4243.17
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:24.371178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1136.425
median235.33
Q3412.3525
95-th percentile1596.4565
Maximum4243.17
Range4243.17
Interquartile range (IQR)275.9275

Descriptive statistics

Standard deviation631.97977
Coefficient of variation (CV)1.5679441
Kurtosis20.003764
Mean403.0627
Median Absolute Deviation (MAD)125.845
Skewness4.0816155
Sum40306.27
Variance399398.43
MonotonicityNot monotonic
2023-12-10T20:05:24.709967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
176.39 1
 
1.0%
1852.15 1
 
1.0%
730.93 1
 
1.0%
264.7 1
 
1.0%
4.46 1
 
1.0%
1643.7 1
 
1.0%
1649.08 1
 
1.0%
742.35 1
 
1.0%
234.55 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.21 1
 
1.0%
0.27 1
 
1.0%
4.46 1
 
1.0%
6.29 1
 
1.0%
24.3 1
 
1.0%
42.46 1
 
1.0%
54.26 1
 
1.0%
70.91 1
 
1.0%
72.26 1
 
1.0%
ValueCountFrequency (%)
4243.17 1
1.0%
3659.91 1
1.0%
1852.15 1
1.0%
1649.08 1
1.0%
1643.7 1
1.0%
1593.97 1
1.0%
1420.92 1
1.0%
1169.35 1
1.0%
937.89 1
1.0%
789.28 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6312076
Minimum0
Maximum31.06672
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:25.002801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.90825046
median2.1212644
Q34.0224521
95-th percentile15.42648
Maximum31.06672
Range31.06672
Interquartile range (IQR)3.1142017

Descriptive statistics

Standard deviation5.323489
Coefficient of variation (CV)1.4660382
Kurtosis10.833396
Mean3.6312076
Median Absolute Deviation (MAD)1.3044291
Skewness3.091682
Sum363.12076
Variance28.339535
MonotonicityNot monotonic
2023-12-10T20:05:25.256847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1.39608895782849 1
 
1.0%
19.9518003062175 1
 
1.0%
7.8737518007848 1
 
1.0%
2.85141135494197 1
 
1.0%
0.0480441807443944 1
 
1.0%
17.706327329498 1
 
1.0%
17.7642819690506 1
 
1.0%
7.99677075686125 1
 
1.0%
2.52662838421473 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0016277788085118 1
 
1.0%
0.0045411079967917 1
 
1.0%
0.0480441807443944 1
 
1.0%
0.0879517311773689 1
 
1.0%
0.176825184854666 1
 
1.0%
0.308971084318071 1
 
1.0%
0.466489771949778 1
 
1.0%
0.564379601404194 1
 
1.0%
0.758830554120732 1
 
1.0%
ValueCountFrequency (%)
31.0667196165056 1
1.0%
26.7963333525748 1
1.0%
19.9518003062175 1
1.0%
17.7642819690506 1
1.0%
17.706327329498 1
1.0%
15.306488184602 1
1.0%
13.1143162406904 1
1.0%
11.5989316832425 1
1.0%
9.74169836312103 1
1.0%
8.20645490694293 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52950686
Minimum0
Maximum4.5301847
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:26.050618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.13244212
median0.3093252
Q30.58655858
95-th percentile2.249507
Maximum4.5301847
Range4.5301847
Interquartile range (IQR)0.45411646

Descriptive statistics

Standard deviation0.77627726
Coefficient of variation (CV)1.4660382
Kurtosis10.833396
Mean0.52950686
Median Absolute Deviation (MAD)0.19021335
Skewness3.091682
Sum52.950686
Variance0.60260639
MonotonicityNot monotonic
2023-12-10T20:05:26.429218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.203579292373214 1
 
1.0%
2.90939439434377 1
 
1.0%
1.14815951443333 1
 
1.0%
0.415796072770993 1
 
1.0%
0.0070058575162774 1
 
1.0%
2.5819569505617 1
 
1.0%
2.59040796254321 1
 
1.0%
1.16609827964317 1
 
1.0%
0.368435847632929 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0002373645720201 1
 
1.0%
0.0006621895742339 1
 
1.0%
0.0070058575162774 1
 
1.0%
0.0128252222723243 1
 
1.0%
0.0257848511762945 1
 
1.0%
0.0450545177343813 1
 
1.0%
0.0680240733517388 1
 
1.0%
0.0822984805083299 1
 
1.0%
0.11065354136126 1
 
1.0%
ValueCountFrequency (%)
4.53018467084118 1
1.0%
3.90747205006124 1
1.0%
2.90939439434377 1
1.0%
2.59040796254321 1
1.0%
2.5819569505617 1
1.0%
2.23200965516343 1
1.0%
1.91234462909224 1
1.0%
1.69136951561639 1
1.0%
1.42054562365582 1
1.0%
1.19667466279994 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21986886
Minimum0
Maximum1.8810833
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:26.743940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.054994374
median0.12844211
Q30.24355863
95-th percentile0.93407013
Maximum1.8810833
Range1.8810833
Interquartile range (IQR)0.18856426

Descriptive statistics

Standard deviation0.32233614
Coefficient of variation (CV)1.4660382
Kurtosis10.833396
Mean0.21986886
Median Absolute Deviation (MAD)0.078982907
Skewness3.091682
Sum21.986886
Variance0.10390059
MonotonicityNot monotonic
2023-12-10T20:05:27.112689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.0845328930083319 1
 
1.0%
1.20807731566937 1
 
1.0%
0.476754016868078 1
 
1.0%
0.172652358317459 1
 
1.0%
0.0029090650475854 1
 
1.0%
1.07211439881529 1
 
1.0%
1.07562354006103 1
 
1.0%
0.484202788806066 1
 
1.0%
0.152986817693087 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
9.85616647775709e-05 1
 
1.0%
0.0002749631348916 1
 
1.0%
0.0029090650475854 1
 
1.0%
0.0053254588397277 1
 
1.0%
0.0107067277831262 1
 
1.0%
0.0187081342251662 1
 
1.0%
0.0282458576587038 1
 
1.0%
0.0341730662606149 1
 
1.0%
0.0459470305837211 1
 
1.0%
ValueCountFrequency (%)
1.88108334410631 1
1.0%
1.62251235324725 1
1.0%
1.20807731566937 1
1.0%
1.07562354006103 1
1.0%
1.07211439881529 1
1.0%
0.926804642918185 1
1.0%
0.794069092399412 1
1.0%
0.702312875904102 1
1.0%
0.589857788668448 1
1.0%
0.496899120028374 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.3355
Minimum0
Maximum1866.95
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:27.393212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160.01
median103.535
Q3181.405
95-th percentile702.4655
Maximum1866.95
Range1866.95
Interquartile range (IQR)121.395

Descriptive statistics

Standard deviation278.06999
Coefficient of variation (CV)1.5680447
Kurtosis20.002724
Mean177.3355
Median Absolute Deviation (MAD)55.405
Skewness4.0815073
Sum17733.55
Variance77322.921
MonotonicityNot monotonic
2023-12-10T20:05:27.647237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
77.6 1
 
1.0%
814.97 1
 
1.0%
321.61 1
 
1.0%
116.45 1
 
1.0%
1.88 1
 
1.0%
723.28 1
 
1.0%
725.52 1
 
1.0%
326.63 1
 
1.0%
103.22 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
1.88 1
 
1.0%
2.74 1
 
1.0%
10.62 1
 
1.0%
18.66 1
 
1.0%
23.86 1
 
1.0%
31.14 1
 
1.0%
31.81 1
 
1.0%
ValueCountFrequency (%)
1866.95 1
1.0%
1610.33 1
1.0%
814.97 1
1.0%
725.52 1
1.0%
723.28 1
1.0%
701.37 1
1.0%
625.19 1
1.0%
514.53 1
1.0%
412.65 1
1.0%
347.26 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5975971
Minimum0
Maximum13.669029
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:27.902813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3994729
median0.93357575
Q31.7696075
95-th percentile6.7875278
Maximum13.669029
Range13.669029
Interquartile range (IQR)1.3701346

Descriptive statistics

Standard deviation2.3423404
Coefficient of variation (CV)1.4661646
Kurtosis10.832876
Mean1.5975971
Median Absolute Deviation (MAD)0.57435044
Skewness3.091632
Sum159.75971
Variance5.4865586
MonotonicityNot monotonic
2023-12-10T20:05:28.163408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.614187329936453 1
 
1.0%
8.77905066844374 1
 
1.0%
3.46445941013558 1
 
1.0%
1.25442709589344 1
 
1.0%
0.0202518071299241 1
 
1.0%
7.79134418134654 1
 
1.0%
7.81547399409709 1
 
1.0%
3.51853604406761 1
 
1.0%
1.11191038933551 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0006976194893622 1
 
1.0%
0.0013455134805308 1
 
1.0%
0.0202518071299241 1
 
1.0%
0.0383128367926853 1
 
1.0%
0.0772791548624097 1
 
1.0%
0.135784277752596 1
 
1.0%
0.204858151156622 1
 
1.0%
0.248408599475724 1
 
1.0%
0.333854695594612 1
 
1.0%
ValueCountFrequency (%)
13.6690286243622 1
1.0%
11.7901640990221 1
1.0%
8.77905066844374 1
1.0%
7.81547399409709 1
1.0%
7.79134418134654 1
1.0%
6.73469537210492 1
1.0%
5.76999711770132 1
1.0%
5.10369876137932 1
1.0%
4.28648057363207 1
1.0%
3.61152637092996 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23296345
Minimum0
Maximum1.9932334
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:28.436509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.058251596
median0.13613509
Q30.25804619
95-th percentile0.98976509
Maximum1.9932334
Range1.9932334
Interquartile range (IQR)0.19979459

Descriptive statistics

Standard deviation0.34156276
Coefficient of variation (CV)1.4661646
Kurtosis10.832876
Mean0.23296345
Median Absolute Deviation (MAD)0.08375244
Skewness3.091632
Sum23.296345
Variance0.11666512
MonotonicityNot monotonic
2023-12-10T20:05:28.725810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.0895615005848486 1
 
1.0%
1.28017123319296 1
 
1.0%
0.505191443006721 1
 
1.0%
0.182921997257961 1
 
1.0%
0.0029531417333187 1
 
1.0%
1.13614274089083 1
 
1.0%
1.13966137784968 1
 
1.0%
0.513076959762711 1
 
1.0%
0.162140047719765 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0001017276737229 1
 
1.0%
0.0001962043182915 1
 
1.0%
0.0029531417333187 1
 
1.0%
0.0055868217847644 1
 
1.0%
0.0112689349585287 1
 
1.0%
0.0198002190514262 1
 
1.0%
0.0298726504607692 1
 
1.0%
0.0362232267629623 1
 
1.0%
0.0486830744584798 1
 
1.0%
ValueCountFrequency (%)
1.99323342482789 1
1.0%
1.71925524572329 1
1.0%
1.28017123319296 1
1.0%
1.13966137784968 1
1.0%
1.13614274089083 1
1.0%
0.982061000134859 1
1.0%
0.841387594701846 1
1.0%
0.744227204506902 1
1.0%
0.625059511471869 1
1.0%
0.526636915834304 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.096734171
Minimum0
Maximum0.82765681
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:28.997082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024188
median0.056527816
Q30.10714936
95-th percentile0.41098338
Maximum0.82765681
Range0.82765681
Interquartile range (IQR)0.08296136

Descriptive statistics

Standard deviation0.14182822
Coefficient of variation (CV)1.4661646
Kurtosis10.832876
Mean0.096734171
Median Absolute Deviation (MAD)0.034776799
Skewness3.091632
Sum9.6734171
Variance0.020115244
MonotonicityNot monotonic
2023-12-10T20:05:29.238407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.0371889137561458 1
 
1.0%
0.531569673056213 1
 
1.0%
0.209772289227344 1
 
1.0%
0.0759552970384137 1
 
1.0%
0.0012262426657983 1
 
1.0%
0.471764252829058 1
 
1.0%
0.473225307920222 1
 
1.0%
0.21304661804772 1
 
1.0%
0.0673259404062264 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
4.22407134761018e-05 1
 
1.0%
8.14705584864016e-05 1
 
1.0%
0.0012262426657983 1
 
1.0%
0.002319834216352 1
 
1.0%
0.0046792365866996 1
 
1.0%
0.008221709482845 1
 
1.0%
0.01240411800158 1
 
1.0%
0.0150410884951721 1
 
1.0%
0.0202148316586682 1
 
1.0%
ValueCountFrequency (%)
0.827656810657899 1
1.0%
0.713891958492051 1
1.0%
0.531569673056213 1
1.0%
0.473225307920222 1
1.0%
0.471764252829058 1
1.0%
0.407784389484292 1
1.0%
0.349372112911554 1
1.0%
0.309027887458898 1
1.0%
0.259545497929257 1
1.0%
0.218677162797313 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-양산JC8.3202010010102.9135.306944129.074722-3.15276북동1.3393264427.3726.1927433.8194561.5859652870.9816.9849912.4767711.028438320.561.8964640.2765440.1148314.370.0850140.0123970.0051481511102.48939.8258771303.615658541.304578136.540.8077840.1177920.04891160.050.3552620.0518050.021511
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320201001096.7635.306944129.074722-3.15276북동1.3393266152.2136.3970615.3074612.2038344507.6726.6678063.888731.61473501.122.9646740.4323120.17951116.580.6896980.1005730.0417611971043.0111660.8783791700.402654706.063735256.921.5199630.2216430.092033113.070.6689330.0975450.040504
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320201001091.8435.306944129.074722-3.15276북동1.3393264669.4527.6249114.0282961.6726833728.222.0563873.2162881.33551406.352.4040050.3505550.145562133.970.7925790.1155750.0479911503889.948897.1562761297.393528538.720943217.171.2847980.1873510.07779495.540.5652240.0824220.034224
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202010010106.5235.306944129.0747223.071416북동1.3393264398.2426.0204073.7943261.575532969.8617.5699752.5620741.063858313.31.8535130.2702810.1122320.260.119860.0174780.0072581598423.749456.427251378.947063572.584683139.60.8258870.1204320.05000761.390.3631890.0529610.021991
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320201001095.9135.306944129.0747223.071416북동1.3393265800.3134.3151875.003882.0777774273.4125.2819013.6866361.530814474.152.8051170.4090450.169849109.580.6482860.0945340.0392541856399.4610982.6362061601.500603664.996314213.281.2617850.1839950.07640193.840.5551660.0809550.033615
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320201001090.335.306944129.0747223.071416북동1.3393263870.9722.9010283.3394541.3866523304.4719.549562.8507391.183722366.532.1684260.3162020.131298120.510.7129490.1039630.0431691219838.887216.6831211052.345006436.968646173.481.0263240.149660.06214476.340.4516350.0658580.027346
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202010010100.7135.681944129.1811110.22545북동1.343887.6722.9882553.3521741.3919342516.0314.8775852.1694660.900835281.151.6624730.2424240.10066213.720.0811280.011830.0049121327845.17851.7060161144.944773475.419149128.330.7588310.1106540.04594756.460.3338550.0486830.020215
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420201001095.935.681944129.1811110.22545북동1.345252.031.0557014.5285781.8804163998.8623.6457353.4480481.431744414.192.4491550.3571390.14829682.680.4888970.0712910.0296031779115.6510520.1224541534.056317636.991204215.171.2723260.1855320.07703994.720.5600910.0816730.033913
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420201001086.8735.681944129.1811110.22545북동1.343119.7618.4475122.6900371.1169934960.3929.3313764.2771351.776009424.722.511420.3662180.152066254.91.5072540.219790.0912641083368.116406.084495934.142585387.88707232.771.3763970.2007080.083341102.420.6056220.0883120.03667
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202010010114.7235.681944129.1811110.19158북동1.343150.2818.627982.7163531.127922236.2413.2231531.9282150.800659205.621.2158560.1772970.073627.430.0439340.0064070.002661314265.257771.4067481133.235441470.557045170.771.0097830.1472480.06114275.150.4443710.0647990.026907
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 송리E3오산IC-동탄JC380.120201001089.4137.158778127.088333-0.6600040.8644449120.583.59936412.1905555.0619246046.5355.4230658.0818553.355855737.756.7622860.9860840.409455111.721.0240360.1493260.0620052896955.1526553.7643913872.1003661607.824854274.92.5197590.3674340.152571120.971.1088220.161690.067139
9192도로공사A-0010-3801E-10경기 화성시 동탄면 송리E4오산IC-동탄JC380.120201001081.3537.158778127.088333-0.6600040.86444411105.55101.7945214.8437946.1636379796.2589.79335213.093775.4369691185.4810.8662221.5845250.657947800.917.3412171.0705050.4445093337163.0330588.7513774460.4867941852.142468789.287.2346151.054960.438054347.263.1830180.4641510.192731
9293도로공사A-0010-3801E-10경기 화성시 동탄면 송리E5오산IC-동탄JC380.120201001084.1737.158778127.088333-0.6600040.8644447687.5970.46517610.2753134.2666524760.9843.6395926.3635752.642368638.725.8545680.853720.35449369.710.6389680.0931750.0386892234260.4920479.4425762986.3357951240.025944151.281.3866470.2022020.08396166.510.6096370.0888980.036913
9394도로공사A-0010-3801E-10경기 화성시 동탄면 송리S1동탄JC-오산IC380.1202010010100.9937.158778127.0883330.6719770.8644444784.7143.8571046.3952932.65553811520.58105.59872415.3985276.393981669.256.1344090.8945270.371437630.725.7812390.8430270.3500531490527.213662.3130281992.254149827.250183529.964.8576630.708350.29413233.152.1370750.3116310.129399
9495도로공사A-0010-3801E-10경기 화성시 동탄면 송리S2동탄JC-오산IC380.120201001079.9237.158778127.0883330.6719770.86444415088.82138.30554920.1678748.3743729056.4883.01255112.1049855.0263921343.0712.3107061.7951610.745411354.43.2484640.4736950.1966944085434.4337447.4776695460.6341252267.436903500.354.5862550.6687730.277697220.142.0178240.2942410.122179
9596도로공사A-0010-3801E-10경기 화성시 동탄면 송리S3동탄JC-오산IC380.120201001077.8537.158778127.0883330.6719770.86444413525.91123.97976818.0788727.5069497599.9469.66176810.1581594.2180051168.8510.7137891.5622970.648718104.470.9575820.1396360.0579813605224.4833045.8279344818.7805152000.917937235.262.1564150.3144510.13057103.490.9485990.1383260.057437
9697도로공사A-0010-3801E-10경기 화성시 동탄면 송리S4동탄JC-오산IC380.120201001076.2437.158778127.0883330.6719770.86444412034.24110.3069816.085096.6790648320.4976.26639711.1212534.6179141170.4410.7283641.5644220.6496260.932.3917090.3487620.1448173207181.729397.3302354286.7523971780.002168308.02.8231570.4116760.170942135.541.2423720.1811640.075225
9798도로공사A-0010-3801E-10경기 화성시 동탄면 송리S5동탄JC-오산IC380.120201001076.9437.158778127.0883330.6719770.8644446607.0260.5605698.8310123.666934991.8245.7554936.6721182.770486629.285.768040.8411020.349254232.552.1315750.3108290.1290661907841.3417487.4538322550.0405661058.861655232.862.1344170.3112430.129238102.40.9386080.1368690.056833
9899도로공사A-0010-3932E-10경기 용인시 기흥구 신갈동E1수원신갈IC-신갈JC393.220201001079.3937.279444127.1058330.1511870.9966674408.135.0447465.1102652.1219524599.2436.5643245.3318522.213962614.224.8830980.7120590.295671840.136.67910.9739540.4044181219607.669695.978041413.878634587.089433595.094.7310130.6898820.286462261.782.0811720.3034790.126015
99100도로공사A-0010-3932E-10경기 용인시 기흥구 신갈동E2수원신갈IC-신갈JC393.220201001079.4337.279444127.1058330.1511870.99666714845.9118.02608717.2106997.1464558783.1269.82650410.1821814.227981316.2610.4643721.5259270.633616202.661.6111630.2349420.0975563964804.4631520.5112574596.3570881908.560333309.842.4632530.3591940.149149136.291.0835160.1580.065607