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 19 (19.0%) zerosZeros
CO(g/km) has 19 (19.0%) zerosZeros
CO_100M(g/km) has 19 (19.0%) zerosZeros
CO_300M(g/km) has 19 (19.0%) zerosZeros
CO_500M(g/km) has 19 (19.0%) zerosZeros
NOX(g/km) has 19 (19.0%) zerosZeros
NOX_100M(g/km) has 19 (19.0%) zerosZeros
NOX_300M(g/km) has 19 (19.0%) zerosZeros
NOX_500M(g/km) has 19 (19.0%) zerosZeros
HC(g/km) has 19 (19.0%) zerosZeros
HC_100M(g/km) has 19 (19.0%) zerosZeros
HC_300M(g/km) has 19 (19.0%) zerosZeros
HC_500M(g/km) has 19 (19.0%) zerosZeros
PM(g/km) has 39 (39.0%) zerosZeros
PM_100M(g/km) has 39 (39.0%) zerosZeros
PM_300M(g/km) has 39 (39.0%) zerosZeros
PM_500M(g/km) has 39 (39.0%) zerosZeros
CO2(g/km) has 19 (19.0%) zerosZeros
CO2_100M(g/km) has 19 (19.0%) zerosZeros
CO2_300M(g/km) has 19 (19.0%) zerosZeros
CO2_500M(g/km) has 19 (19.0%) zerosZeros
TSP(g/km) has 19 (19.0%) zerosZeros
TSP_100M(g/km) has 19 (19.0%) zerosZeros
TSP_300M(g/km) has 19 (19.0%) zerosZeros
TSP_500M(g/km) has 19 (19.0%) 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 11:19:03.389552
Analysis finished2023-12-10 11:19:03.948296
Duration0.56 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
2023-12-10T20:19:04.205225image/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
2023-12-10T20:19:04.549774image/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

2023-12-10T20:19:04.869519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:05.064871image/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-0010-0538E-6
2nd rowA-0010-0538E-6
3rd rowA-0010-0538E-6
4th rowA-0010-0538E-6
5th rowA-0010-0538E-6

Common Values

ValueCountFrequency (%)
A-0010-3452S-10 10
 
10.0%
A-0010-3613E-10 10
 
10.0%
A-0010-3352E-9 9
 
9.0%
A-0010-1185E-8 8
 
8.0%
A-0010-2583E-7 7
 
7.0%
A-0010-0538E-6 6
 
6.0%
A-0010-1073E-6 6
 
6.0%
A-0010-1880E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (5) 26
26.0%

Length

2023-12-10T20:19:05.354494image/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-0010-0538e-6 6
 
6.0%
a-0010-1073e-6 6
 
6.0%
a-0010-1880e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (5) 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 length11.94
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
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%
울산 울주군 두서면 활천리 6
 
6.0%
경북 경산시 진량읍 6
 
6.0%
경북 김천시 아포읍 봉산리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (4) 23
23.0%

Length

2023-12-10T20:19:05.715204image/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%
대덕구 12
 
3.4%
경북 12
 
3.4%
대전 12
 
3.4%
충남 10
 
2.9%
원곡면 10
 
2.9%
Other values (28) 198
56.6%

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

2023-12-10T20:19:06.001606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:06.196536image/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

2023-12-10T20:19:06.376451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:06.597080image/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 row언양JC-활천IC
2nd row언양JC-활천IC
3rd row언양JC-활천IC
4th row활천IC-언양JC
5th row활천IC-언양JC

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%
천안JC-천안IC 4
 
4.0%
청주JC-남청주IC 4
 
4.0%
Other values (17) 52
52.0%

Length

2023-12-10T20:19:06.841180image/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%
옥천ic-금강ic 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%
Mean264.8948
Minimum53.4
Maximum380.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:07.033595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation97.048129
Coefficient of variation (CV)0.3663648
Kurtosis-0.40964006
Mean264.8948
Median Absolute Deviation (MAD)47.3
Skewness-0.90992895
Sum26489.48
Variance9418.3394
MonotonicityIncreasing
2023-12-10T20:19:07.220278image/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%
53.4 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
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%
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%
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%
269.5 6
6.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20210101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210101
2nd row20210101
3rd row20210101
4th row20210101
5th row20210101

Common Values

ValueCountFrequency (%)
20210101 100
100.0%

Length

2023-12-10T20:19:07.653600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:08.001725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210101 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

2023-12-10T20:19:08.303805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:08.513732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.9025
Minimum0
Maximum136
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:08.833886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.125
median87.9
Q398.3325
95-th percentile117.2
Maximum136
Range136
Interquartile range (IQR)23.2075

Descriptive statistics

Standard deviation39.210607
Coefficient of variation (CV)0.51659177
Kurtosis0.050618687
Mean75.9025
Median Absolute Deviation (MAD)11.9
Skewness-1.1644269
Sum7590.25
Variance1537.4717
MonotonicityNot monotonic
2023-12-10T20:19:09.373856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
106.0 3
 
3.0%
110.0 2
 
2.0%
94.0 2
 
2.0%
76.0 2
 
2.0%
96.5 2
 
2.0%
84.0 2
 
2.0%
91.5 2
 
2.0%
92.0 2
 
2.0%
93.0 2
 
2.0%
Other values (61) 62
62.0%
ValueCountFrequency (%)
0.0 19
19.0%
56.83 1
 
1.0%
70.67 1
 
1.0%
71.43 1
 
1.0%
73.17 1
 
1.0%
73.86 1
 
1.0%
74.0 1
 
1.0%
75.5 1
 
1.0%
76.0 2
 
2.0%
77.0 1
 
1.0%
ValueCountFrequency (%)
136.0 1
1.0%
130.28 1
1.0%
124.0 1
1.0%
122.5 1
1.0%
121.0 1
1.0%
117.0 1
1.0%
115.0 1
1.0%
114.0 2
2.0%
111.6 1
1.0%
111.0 1
1.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.486971
Minimum35.681944
Maximum37.158778
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:09.663398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.4235515
Coefficient of variation (CV)0.011608294
Kurtosis-0.90151995
Mean36.486971
Median Absolute Deviation (MAD)0.29195834
Skewness-0.30649441
Sum3648.6971
Variance0.17939587
MonotonicityIncreasing
2023-12-10T20:19:09.953877image/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%
35.68194444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
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%
36.3475 6
6.0%
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%
36.3475 6
6.0%

경도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.67082
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:10.238019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.08833
5-th percentile127.08833
Q1127.18421
median127.42639
Q3128.21328
95-th percentile129.18111
Maximum129.18111
Range2.0927778
Interquartile range (IQR)1.0290695

Descriptive statistics

Standard deviation0.64690677
Coefficient of variation (CV)0.00506699
Kurtosis0.03014106
Mean127.67082
Median Absolute Deviation (MAD)0.2497222
Skewness1.20945
Sum12767.082
Variance0.41848837
MonotonicityNot monotonic
2023-12-10T20:19:10.476956image/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%
129.1811111 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
Other values (5) 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%
127.4691667 6
6.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
128.8488161 6
6.0%
128.5614716 8
8.0%
128.2132778 6
6.0%
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%

기울기(°)
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0583874
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size1.0 KiB
2023-12-10T20:19:10.759049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-2.788625
Q1-0.807188
median0.051518
Q30.688696
95-th percentile2.703849
Maximum12.47809
Range25.72385
Interquartile range (IQR)1.495884

Descriptive statistics

Standard deviation3.3676865
Coefficient of variation (CV)-57.678309
Kurtosis10.701738
Mean-0.0583874
Median Absolute Deviation (MAD)0.858706
Skewness-0.25927711
Sum-5.83874
Variance11.341312
MonotonicityNot monotonic
2023-12-10T20:19:11.105398image/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 (%)
-13.24576 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-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 (%)
12.47809 3
3.0%
2.703849 3
3.0%
1.544389 5
5.0%
1.437416 5
5.0%
1.293015 5
5.0%
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

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북
45 
북동
29 
북서
26 

Length

Max length2
Median length2
Mean length1.55
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북 45
45.0%
북동 29
29.0%
북서 26
26.0%

Length

2023-12-10T20:19:11.375379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:19:11.775375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북 45
45.0%
북동 29
29.0%
북서 26
26.0%

풍속(m/s)
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738
Minimum0.9
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:12.083785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile0.9
Q11
median1.7
Q32.2
95-th percentile3.7
Maximum3.7
Range2.8
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation0.80901237
Coefficient of variation (CV)0.46548468
Kurtosis0.18754394
Mean1.738
Median Absolute Deviation (MAD)0.6
Skewness0.96090833
Sum173.8
Variance0.65450101
MonotonicityNot monotonic
2023-12-10T20:19:12.359782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.9 17
17.0%
1.3 12
12.0%
2.2 11
11.0%
1.0 10
10.0%
2.0 9
9.0%
1.1 9
9.0%
2.3 8
8.0%
3.2 6
 
6.0%
3.7 6
 
6.0%
1.7 6
 
6.0%
ValueCountFrequency (%)
0.9 17
17.0%
1.0 10
10.0%
1.1 9
9.0%
1.3 12
12.0%
1.7 6
 
6.0%
1.8 6
 
6.0%
2.0 9
9.0%
2.2 11
11.0%
2.3 8
8.0%
3.2 6
 
6.0%
ValueCountFrequency (%)
3.7 6
6.0%
3.2 6
6.0%
2.3 8
8.0%
2.2 11
11.0%
2.0 9
9.0%
1.8 6
6.0%
1.7 6
6.0%
1.3 12
12.0%
1.1 9
9.0%
1.0 10
10.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.7646
Minimum0
Maximum87.36
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:12.707254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.065
median10.77
Q327.2625
95-th percentile57.504
Maximum87.36
Range87.36
Interquartile range (IQR)26.1975

Descriptive statistics

Standard deviation20.739562
Coefficient of variation (CV)1.1674657
Kurtosis0.68477704
Mean17.7646
Median Absolute Deviation (MAD)10.23
Skewness1.252594
Sum1776.46
Variance430.12941
MonotonicityNot monotonic
2023-12-10T20:19:12.994686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.87 2
 
2.0%
1.3 2
 
2.0%
7.69 1
 
1.0%
87.36 1
 
1.0%
50.43 1
 
1.0%
11.4 1
 
1.0%
34.87 1
 
1.0%
42.06 1
 
1.0%
39.92 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.22 1
 
1.0%
0.86 1
 
1.0%
0.87 2
 
2.0%
0.97 1
 
1.0%
1.02 1
 
1.0%
1.08 1
 
1.0%
1.11 1
 
1.0%
1.12 1
 
1.0%
1.3 2
 
2.0%
ValueCountFrequency (%)
87.36 1
1.0%
69.93 1
1.0%
68.39 1
1.0%
64.63 1
1.0%
58.53 1
1.0%
57.45 1
1.0%
56.73 1
1.0%
56.16 1
1.0%
54.7 1
1.0%
54.15 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1056313
Minimum0
Maximum0.62927627
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:13.365879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0046312225
median0.043407435
Q30.16728657
95-th percentile0.36757233
Maximum0.62927627
Range0.62927627
Interquartile range (IQR)0.16265535

Descriptive statistics

Standard deviation0.14490678
Coefficient of variation (CV)1.3718167
Kurtosis2.9472282
Mean0.1056313
Median Absolute Deviation (MAD)0.043407435
Skewness1.7976338
Sum10.56313
Variance0.020997976
MonotonicityNot monotonic
2023-12-10T20:19:13.668295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0021542231453916 1
 
1.0%
0.238367679842569 1
 
1.0%
0.629276268276409 1
 
1.0%
0.363260098548298 1
 
1.0%
0.0821170954481577 1
 
1.0%
0.251177466515549 1
 
1.0%
0.302968862679782 1
 
1.0%
0.287553899148286 1
 
1.0%
0.0553930231575731 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.001841696830108 1
 
1.0%
0.0019368749608629 1
 
1.0%
0.0021542231453916 1
 
1.0%
0.0023128285773449 1
 
1.0%
0.0033416834799078 1
 
1.0%
0.0044785448699796 1
 
1.0%
0.0046821150913423 1
 
1.0%
0.0053027031271178 1
 
1.0%
0.0062169622869657 1
 
1.0%
ValueCountFrequency (%)
0.629276268276409 1
1.0%
0.615662118241583 1
1.0%
0.569001039638975 1
1.0%
0.458599166869785 1
1.0%
0.449504658530824 1
1.0%
0.363260098548298 1
1.0%
0.35016125822175 1
1.0%
0.342298629447058 1
1.0%
0.333399840291205 1
1.0%
0.328749308698112 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.015403277
Minimum0
Maximum0.091761787
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:13.944098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00067533018
median0.0063297219
Q30.024393919
95-th percentile0.053599818
Maximum0.091761787
Range0.091761787
Interquartile range (IQR)0.023718589

Descriptive statistics

Standard deviation0.021130473
Coefficient of variation (CV)1.3718167
Kurtosis2.9472282
Mean0.015403277
Median Absolute Deviation (MAD)0.0063297219
Skewness1.7976338
Sum1.5403277
Variance0.0004464969
MonotonicityNot monotonic
2023-12-10T20:19:14.254539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0003141312887646 1
 
1.0%
0.0347590483506686 1
 
1.0%
0.0917617868722562 1
 
1.0%
0.0529710040289364 1
 
1.0%
0.0119744090011873 1
 
1.0%
0.0366269861290702 1
 
1.0%
0.0441792668938541 1
 
1.0%
0.0419314392392453 1
 
1.0%
0.0080774741420289 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.000268558343175 1
 
1.0%
0.0002824373273184 1
 
1.0%
0.0003141312887646 1
 
1.0%
0.0003372593146849 1
 
1.0%
0.0004872881161047 1
 
1.0%
0.0006530665473568 1
 
1.0%
0.0006827513904185 1
 
1.0%
0.0007732462492669 1
 
1.0%
0.000906564568106 1
 
1.0%
ValueCountFrequency (%)
0.0917617868722562 1
1.0%
0.0897765559062699 1
1.0%
0.0829723839299618 1
1.0%
0.06687345627281 1
1.0%
0.0655472846404465 1
1.0%
0.0529710040289364 1
1.0%
0.0510609161153867 1
1.0%
0.0499143785733702 1
1.0%
0.0486167469366693 1
1.0%
0.0479386010881743 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006395953
Minimum0
Maximum0.038102546
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:14.951527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00028041955
median0.0026283111
Q30.010129167
95-th percentile0.022256427
Maximum0.038102546
Range0.038102546
Interquartile range (IQR)0.0098487471

Descriptive statistics

Standard deviation0.0087740753
Coefficient of variation (CV)1.3718167
Kurtosis2.9472282
Mean0.006395953
Median Absolute Deviation (MAD)0.0026283111
Skewness1.7976338
Sum0.6395953
Variance7.6984397 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:15.348771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0001304377587433 1
 
1.0%
0.0144331129214845 1
 
1.0%
0.0381025458016888 1
 
1.0%
0.0219953226279666 1
 
1.0%
0.0049721728724731 1
 
1.0%
0.0152087428125559 1
 
1.0%
0.018344700966335 1
 
1.0%
0.0174113281639585 1
 
1.0%
0.0033540359113437 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.0001115143560303 1
 
1.0%
0.0001172773718458 1
 
1.0%
0.0001304377587433 1
 
1.0%
0.0001400412843171 1
 
1.0%
0.0002023382324534 1
 
1.0%
0.0002711749507107 1
 
1.0%
0.0002835010848339 1
 
1.0%
0.0003210775599835 1
 
1.0%
0.0003764357599807 1
 
1.0%
ValueCountFrequency (%)
0.0381025458016888 1
1.0%
0.0372782118780946 1
1.0%
0.0344528933745353 1
1.0%
0.0277680831793214 1
1.0%
0.0272174126106088 1
1.0%
0.0219953226279666 1
1.0%
0.0212021905989163 1
1.0%
0.0207261100789406 1
1.0%
0.0201872902656348 1
1.0%
0.0199057015549825 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.0559
Minimum0
Maximum279.41
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:15.740508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7475
median13.66
Q350.915
95-th percentile183.3115
Maximum279.41
Range279.41
Interquartile range (IQR)50.1675

Descriptive statistics

Standard deviation60.786193
Coefficient of variation (CV)1.5175341
Kurtosis4.161343
Mean40.0559
Median Absolute Deviation (MAD)13.66
Skewness2.0840979
Sum4005.59
Variance3694.9613
MonotonicityNot monotonic
2023-12-10T20:19:16.033660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.6 2
 
2.0%
35.15 1
 
1.0%
107.78 1
 
1.0%
65.91 1
 
1.0%
24.98 1
 
1.0%
108.74 1
 
1.0%
122.36 1
 
1.0%
31.18 1
 
1.0%
10.82 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.15 1
 
1.0%
0.49 1
 
1.0%
0.6 2
 
2.0%
0.66 1
 
1.0%
0.71 1
 
1.0%
0.76 1
 
1.0%
0.91 1
 
1.0%
0.95 1
 
1.0%
0.99 1
 
1.0%
ValueCountFrequency (%)
279.41 1
1.0%
231.73 1
1.0%
228.82 1
1.0%
227.6 1
1.0%
225.71 1
1.0%
181.08 1
1.0%
140.11 1
1.0%
131.81 1
1.0%
129.01 1
1.0%
122.36 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24291
Minimum0
Maximum2.4599192
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:16.383734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003097881
median0.049377121
Q30.28934051
95-th percentile0.90283046
Maximum2.4599192
Range2.4599192
Interquartile range (IQR)0.28624263

Descriptive statistics

Standard deviation0.43670535
Coefficient of variation (CV)1.7978073
Kurtosis10.582081
Mean0.24291
Median Absolute Deviation (MAD)0.049377121
Skewness3.015164
Sum24.291
Variance0.19071157
MonotonicityNot monotonic
2023-12-10T20:19:16.746002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0129418463294026 2
 
2.0%
0.0014856711347528 1
 
1.0%
0.294008815081906 1
 
1.0%
0.474766470262112 1
 
1.0%
0.179937284587279 1
 
1.0%
0.783281838511638 1
 
1.0%
0.881390157810226 1
 
1.0%
0.224597459304698 1
 
1.0%
0.077939208135883 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.0013205965642247 1
 
1.0%
0.0014856711347528 1
 
1.0%
0.0015204706388101 1
 
1.0%
0.0016275460359094 1
 
1.0%
0.0020670207092213 1
 
1.0%
0.0029865799221698 1
 
1.0%
0.0031349814089857 1
 
1.0%
0.0035656107234068 1
 
1.0%
0.0058106248825889 1
 
1.0%
ValueCountFrequency (%)
2.45991924006693 1
1.0%
2.04014561218536 1
1.0%
2.0037851867837 1
1.0%
1.1036936577684 1
1.0%
1.06651378526792 1
1.0%
0.894215551533511 1
1.0%
0.881390157810226 1
1.0%
0.870563667068246 1
1.0%
0.853979005908605 1
1.0%
0.786323828079859 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.035421414
Minimum0
Maximum0.35870824
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:17.096795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00045173656
median0.0072002284
Q30.042191964
95-th percentile0.13165177
Maximum0.35870824
Range0.35870824
Interquartile range (IQR)0.041740228

Descriptive statistics

Standard deviation0.063680875
Coefficient of variation (CV)1.7978073
Kurtosis10.582081
Mean0.035421414
Median Absolute Deviation (MAD)0.0072002284
Skewness3.015164
Sum3.5421414
Variance0.0040552539
MonotonicityNot monotonic
2023-12-10T20:19:17.494214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0018871948689005 2
 
2.0%
0.0002166422681135 1
 
1.0%
0.0428727024809078 1
 
1.0%
0.0692309909884433 1
 
1.0%
0.026238661127163 1
 
1.0%
0.114219055683255 1
 
1.0%
0.12852532327941 1
 
1.0%
0.0327510590050017 1
 
1.0%
0.011365184683583 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.0001925709049898 1
 
1.0%
0.0002166422681135 1
 
1.0%
0.000221716771691 1
 
1.0%
0.0002373306288523 1
 
1.0%
0.0003014153295493 1
 
1.0%
0.0004355065082078 1
 
1.0%
0.0004571465831498 1
 
1.0%
0.0005199414434726 1
 
1.0%
0.0008473119819553 1
 
1.0%
ValueCountFrequency (%)
0.358708243754767 1
1.0%
0.297496372088659 1
1.0%
0.292194253171272 1
1.0%
0.160941874502597 1
1.0%
0.155520262869806 1
1.0%
0.13039553689578 1
1.0%
0.12852532327941 1
1.0%
0.126946591987412 1
1.0%
0.12452819768367 1
1.0%
0.114662642089574 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014708149
Minimum0
Maximum0.14894759
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:17.807712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00018757605
median0.0029897743
Q30.017519507
95-th percentile0.054666195
Maximum0.14894759
Range0.14894759
Interquartile range (IQR)0.017331931

Descriptive statistics

Standard deviation0.026442417
Coefficient of variation (CV)1.7978073
Kurtosis10.582081
Mean0.014708149
Median Absolute Deviation (MAD)0.0029897743
Skewness3.015164
Sum1.4708149
Variance0.00069920144
MonotonicityNot monotonic
2023-12-10T20:19:18.114043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0007836260755155 2
 
2.0%
8.99570749954019e-05 1
 
1.0%
0.0178021719672382 1
 
1.0%
0.028747010002167 1
 
1.0%
0.0108951647679279 1
 
1.0%
0.0474275507151515 1
 
1.0%
0.0533679888312115 1
 
1.0%
0.0135993289617291 1
 
1.0%
0.0047192026736981 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
7.99618444403573e-05 1
 
1.0%
8.99570749954019e-05 1
 
1.0%
9.20641776529519e-05 1
 
1.0%
9.85475704454133e-05 1
 
1.0%
0.0001251576695588 1
 
1.0%
0.0001808367866574 1
 
1.0%
0.0001898224654975 1
 
1.0%
0.0002158969799889 1
 
1.0%
0.0003518321155375 1
 
1.0%
ValueCountFrequency (%)
0.148947593033868 1
1.0%
0.123530388081093 1
1.0%
0.121328771964169 1
1.0%
0.0668284190365841 1
1.0%
0.0645771855700325 1
1.0%
0.0541445637258991 1
1.0%
0.0533679888312115 1
1.0%
0.0527124470919723 1
1.0%
0.0517082493440236 1
1.0%
0.047611742544233 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7658
Minimum0
Maximum24.01
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:18.447926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0775
median1.51
Q34.8125
95-th percentile15.488
Maximum24.01
Range24.01
Interquartile range (IQR)4.735

Descriptive statistics

Standard deviation5.5136804
Coefficient of variation (CV)1.4641458
Kurtosis3.4793206
Mean3.7658
Median Absolute Deviation (MAD)1.51
Skewness1.9479824
Sum376.58
Variance30.400671
MonotonicityNot monotonic
2023-12-10T20:19:18.891042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.07 3
 
3.0%
0.08 3
 
3.0%
9.73 2
 
2.0%
1.92 2
 
2.0%
0.73 2
 
2.0%
8.44 1
 
1.0%
1.53 1
 
1.0%
9.4 1
 
1.0%
9.57 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.01 1
 
1.0%
0.05 1
 
1.0%
0.06 1
 
1.0%
0.07 3
 
3.0%
0.08 3
 
3.0%
0.1 1
 
1.0%
0.15 1
 
1.0%
0.16 1
 
1.0%
0.17 1
 
1.0%
ValueCountFrequency (%)
24.01 1
1.0%
22.68 1
1.0%
21.4 1
1.0%
20.09 1
1.0%
17.73 1
1.0%
15.37 1
1.0%
13.78 1
1.0%
13.74 1
1.0%
12.14 1
1.0%
11.09 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022781466
Minimum0
Maximum0.21138349
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:19.174208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00028499831
median0.0051957384
Q30.024081586
95-th percentile0.099011268
Maximum0.21138349
Range0.21138349
Interquartile range (IQR)0.023796588

Descriptive statistics

Standard deviation0.039470428
Coefficient of variation (CV)1.7325675
Kurtosis9.1136193
Mean0.022781466
Median Absolute Deviation (MAD)0.0051957384
Skewness2.8125723
Sum2.2781466
Variance0.0015579147
MonotonicityNot monotonic
2023-12-10T20:19:19.572171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.001408636335173 2
 
2.0%
0.0001485671134752 1
 
1.0%
0.0371527833401899 1
 
1.0%
0.0467491183735565 1
 
1.0%
0.0110209785996212 1
 
1.0%
0.0677105874747967 1
 
1.0%
0.0689351406525324 1
 
1.0%
0.0270122024500519 1
 
1.0%
0.0052583754102767 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
8.80397709483173e-05 1
 
1.0%
0.0001070753970993 1
 
1.0%
0.0001485671134752 1
 
1.0%
0.000149905555939 1
 
1.0%
0.0002411524160758 1
 
1.0%
0.0002756027612295 1
 
1.0%
0.0002881301594672 1
 
1.0%
0.0004266542745956 1
 
1.0%
0.0006122765888678 1
 
1.0%
ValueCountFrequency (%)
0.21138349004691 1
1.0%
0.199674200510784 1
1.0%
0.156094513891367 1
1.0%
0.109186923930103 1
1.0%
0.0997438816743877 1
1.0%
0.0989727097769901 1
1.0%
0.0936810885790825 1
1.0%
0.0795923549258262 1
1.0%
0.0739940413370242 1
1.0%
0.0705198565296021 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0033220196
Minimum0
Maximum0.030824183
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:19.942546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.155878 × 10-5
median0.00075764853
Q30.0035116045
95-th percentile0.014437937
Maximum0.030824183
Range0.030824183
Interquartile range (IQR)0.0034700457

Descriptive statistics

Standard deviation0.005755623
Coefficient of variation (CV)1.7325675
Kurtosis9.1136193
Mean0.0033220196
Median Absolute Deviation (MAD)0.00075764853
Skewness2.8125723
Sum0.33220196
Variance3.3127196 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:20.329961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0002054089653225 2
 
2.0%
2.16642268113586e-05 1
 
1.0%
0.0054176614603812 1
 
1.0%
0.0068170100366408 1
 
1.0%
0.0016070917343698 1
 
1.0%
0.009873635492207 1
 
1.0%
0.0100522012404704 1
 
1.0%
0.0039389503293379 1
 
1.0%
0.0007667823307777 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
1.28380603326569e-05 1
 
1.0%
1.56138571613395e-05 1
 
1.0%
2.16642268113586e-05 1
 
1.0%
2.18594000258753e-05 1
 
1.0%
3.5165121780756e-05 1
 
1.0%
4.01887106065782e-05 1
 
1.0%
4.20154701796045e-05 1
 
1.0%
6.22152154582605e-05 1
 
1.0%
8.92828741316596e-05 1
 
1.0%
ValueCountFrequency (%)
0.0308241828587093 1
1.0%
0.0291167208344659 1
1.0%
0.0227618809698007 1
1.0%
0.0159217624245611 1
1.0%
0.0145447671768807 1
1.0%
0.0144323140066941 1
1.0%
0.0136606837370495 1
1.0%
0.0116062484437385 1
1.0%
0.0107898959380469 1
1.0%
0.0102832863264582 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001379413
Minimum0
Maximum0.012799226
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:20.708256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.7256588 × 10-5
median0.00031460087
Q30.001458135
95-th percentile0.0059951115
Maximum0.012799226
Range0.012799226
Interquartile range (IQR)0.0014408784

Descriptive statistics

Standard deviation0.0023899261
Coefficient of variation (CV)1.7325675
Kurtosis9.1136193
Mean0.001379413
Median Absolute Deviation (MAD)0.00031460087
Skewness2.8125723
Sum0.1379413
Variance5.7117468 × 10-6
MonotonicityNot monotonic
2023-12-10T20:19:20.999716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
8.52926340697144e-05 2
 
2.0%
8.99570749954019e-06 1
 
1.0%
0.0022495932235887 1
 
1.0%
0.0028306492931886 1
 
1.0%
0.0006673179381477 1
 
1.0%
0.0040998618422146 1
 
1.0%
0.0041740082797866 1
 
1.0%
0.0016355831817345 1
 
1.0%
0.0003183935260443 1
 
1.0%
Other values (71) 71
71.0%
ValueCountFrequency (%)
0.0 19
19.0%
5.33078962935715e-06 1
 
1.0%
6.4833927924614e-06 1
 
1.0%
8.99570749954019e-06 1
 
1.0%
9.07674990944596e-06 1
 
1.0%
1.46017281151957e-05 1
 
1.0%
1.66876892745093e-05 1
 
1.0%
1.74462206051689e-05 1
 
1.0%
2.58338266653462e-05 1
 
1.0%
3.70732187859838e-05 1
 
1.0%
ValueCountFrequency (%)
0.0127992259000865 1
1.0%
0.012090230879382 1
1.0%
0.0094514900128502 1
1.0%
0.0066112452983287 1
1.0%
0.0060394710742011 1
1.0%
0.0059927767778755 1
1.0%
0.0056723702263767 1
1.0%
0.0048193003644203 1
1.0%
0.0044803236531043 1
1.0%
0.004269962493115 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4707
Minimum0
Maximum16.32
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:21.317094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.665
Q33.6175
95-th percentile11.287
Maximum16.32
Range16.32
Interquartile range (IQR)3.6175

Descriptive statistics

Standard deviation3.807368
Coefficient of variation (CV)1.5410078
Kurtosis3.0366328
Mean2.4707
Median Absolute Deviation (MAD)0.665
Skewness1.8847195
Sum247.07
Variance14.496051
MonotonicityNot monotonic
2023-12-10T20:19:21.622669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.12 2
 
2.0%
0.1 2
 
2.0%
0.67 2
 
2.0%
3.59 2
 
2.0%
7.36 1
 
1.0%
5.32 1
 
1.0%
2.73 1
 
1.0%
1.16 1
 
1.0%
6.46 1
 
1.0%
Other values (48) 48
48.0%
ValueCountFrequency (%)
0.0 39
39.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.17 1
 
1.0%
0.22 1
 
1.0%
0.35 1
 
1.0%
0.42 1
 
1.0%
0.53 1
 
1.0%
0.55 1
 
1.0%
0.66 1
 
1.0%
ValueCountFrequency (%)
16.32 1
1.0%
13.89 1
1.0%
13.79 1
1.0%
13.74 1
1.0%
13.7 1
1.0%
11.16 1
1.0%
10.28 1
1.0%
8.66 1
1.0%
8.57 1
1.0%
8.29 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014545318
Minimum0
Maximum0.14368091
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:21.935310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001932498
Q30.016768857
95-th percentile0.055094162
Maximum0.14368091
Range0.14368091
Interquartile range (IQR)0.016768857

Descriptive statistics

Standard deviation0.026266192
Coefficient of variation (CV)1.8058176
Kurtosis9.7661247
Mean0.014545318
Median Absolute Deviation (MAD)0.001932498
Skewness2.9004865
Sum1.4545318
Variance0.00068991285
MonotonicityNot monotonic
2023-12-10T20:19:22.419858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
0.0004754147631209 2
 
2.0%
0.0007923579385348 2
 
2.0%
0.0147906815193173 1
 
1.0%
0.0146586218628948 1
 
1.0%
0.0270282096811334 1
 
1.0%
0.0252233943766929 1
 
1.0%
0.0015406959915955 1
 
1.0%
0.0452524422674351 1
 
1.0%
0.0030253666744058 1
 
1.0%
Other values (50) 50
50.0%
ValueCountFrequency (%)
0.0 39
39.0%
0.0004754147631209 2
 
2.0%
0.0007923579385348 2
 
2.0%
0.0010361603811609 1
 
1.0%
0.0013409134344436 1
 
1.0%
0.0014348103211306 1
 
1.0%
0.0015406959915955 1
 
1.0%
0.0015633007976498 1
 
1.0%
0.0016342382482281 1
 
1.0%
0.0019088623064703 1
 
1.0%
ValueCountFrequency (%)
0.143680906187654 1
1.0%
0.122287241847213 1
1.0%
0.120966645282988 1
1.0%
0.0680208814926845 1
1.0%
0.0638547279878089 1
1.0%
0.0546330798619783 1
1.0%
0.0530159493419685 1
1.0%
0.0527832288285527 1
1.0%
0.0522346733326439 1
1.0%
0.046533020753956 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002121015
Minimum0
Maximum0.020951714
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:22.796426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00028179907
Q30.002445254
95-th percentile0.0080338939
Maximum0.020951714
Range0.020951714
Interquartile range (IQR)0.002445254

Descriptive statistics

Standard deviation0.0038301663
Coefficient of variation (CV)1.8058176
Kurtosis9.7661247
Mean0.002121015
Median Absolute Deviation (MAD)0.00028179907
Skewness2.9004865
Sum0.2121015
Variance1.4670174 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:23.440404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
6.93255257963474e-05 2
 
2.0%
0.0001155425429939 2
 
2.0%
0.0021567941358863 1
 
1.0%
0.0021375370453873 1
 
1.0%
0.0039412845221256 1
 
1.0%
0.0036781042853062 1
 
1.0%
0.0002246660558214 1
 
1.0%
0.0065987630109856 1
 
1.0%
0.0004411624368858 1
 
1.0%
Other values (50) 50
50.0%
ValueCountFrequency (%)
0.0 39
39.0%
6.93255257963474e-05 2
 
2.0%
0.0001155425429939 2
 
2.0%
0.0001510940946843 1
 
1.0%
0.0001955335342973 1
 
1.0%
0.0002092256859619 1
 
1.0%
0.0002246660558214 1
 
1.0%
0.0002279623145555 1
 
1.0%
0.0002383064949249 1
 
1.0%
0.0002783524899398 1
 
1.0%
ValueCountFrequency (%)
0.0209517144628961 1
1.0%
0.0178320658020605 1
1.0%
0.0176394948970706 1
1.0%
0.0099188829216312 1
1.0%
0.0093113696412741 1
1.0%
0.0079666583394302 1
1.0%
0.0077308465130472 1
1.0%
0.007696910940979 1
1.0%
0.0076169199496756 1
1.0%
0.0067854984340061 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00088071598
Minimum0
Maximum0.0086998487
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:23.774145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00011701235
Q30.0010153508
95-th percentile0.0033359399
Maximum0.0086998487
Range0.0086998487
Interquartile range (IQR)0.0010153508

Descriptive statistics

Standard deviation0.0015904124
Coefficient of variation (CV)1.8058176
Kurtosis9.7661247
Mean0.00088071598
Median Absolute Deviation (MAD)0.00011701235
Skewness2.9004865
Sum0.088071598
Variance2.5294117 × 10-6
MonotonicityNot monotonic
2023-12-10T20:19:24.030192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
2.87862639985286e-05 2
 
2.0%
4.79771066642144e-05 2
 
2.0%
0.000895572657732 1
 
1.0%
0.0008875764732879 1
 
1.0%
0.0016365524162126 1
 
1.0%
0.0015272712288108 1
 
1.0%
9.32888185137502e-05 1
 
1.0%
0.0027400258694895 1
 
1.0%
0.0001831853163542 1
 
1.0%
Other values (50) 50
50.0%
ValueCountFrequency (%)
0.0 39
39.0%
2.87862639985286e-05 2
 
2.0%
4.79771066642144e-05 2
 
2.0%
6.27392933301265e-05 1
 
1.0%
8.11920266625166e-05 1
 
1.0%
8.68774634189828e-05 1
 
1.0%
9.32888185137502e-05 1
 
1.0%
9.46575347699364e-05 1
 
1.0%
9.89527824949421e-05 1
 
1.0%
0.0001155812115092 1
 
1.0%
ValueCountFrequency (%)
0.0086998486751108 1
1.0%
0.007404466795177 1
1.0%
0.0073245049507367 1
1.0%
0.0041186500797894 1
1.0%
0.0038663903605866 1
1.0%
0.0033080215044975 1
1.0%
0.003210104591351 1
1.0%
0.0031960134131699 1
1.0%
0.0031627984931716 1
1.0%
0.0028175646277347 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5813.3698
Minimum0
Maximum24073.59
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:24.291171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1426.0925
median3509.235
Q39242.425
95-th percentile18940.682
Maximum24073.59
Range24073.59
Interquartile range (IQR)8816.3325

Descriptive statistics

Standard deviation6498.8425
Coefficient of variation (CV)1.1179131
Kurtosis0.028721536
Mean5813.3698
Median Absolute Deviation (MAD)3509.04
Skewness1.077928
Sum581336.98
Variance42234954
MonotonicityNot monotonic
2023-12-10T20:19:24.790038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
361.96 1
 
1.0%
16443.81 1
 
1.0%
20250.96 1
 
1.0%
15187.36 1
 
1.0%
4893.18 1
 
1.0%
12359.13 1
 
1.0%
15571.43 1
 
1.0%
12451.44 1
 
1.0%
2774.87 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
90.49 1
 
1.0%
254.3 1
 
1.0%
292.02 1
 
1.0%
331.11 1
 
1.0%
353.82 1
 
1.0%
361.96 1
 
1.0%
447.47 1
 
1.0%
452.45 1
 
1.0%
479.44 1
 
1.0%
ValueCountFrequency (%)
24073.59 1
1.0%
21216.18 1
1.0%
21175.14 1
1.0%
20416.54 1
1.0%
20250.96 1
1.0%
18871.72 1
1.0%
18852.59 1
1.0%
17885.17 1
1.0%
17840.45 1
1.0%
16443.81 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.430011
Minimum0
Maximum211.94333
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:25.042977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.7224033
median14.95768
Q348.290343
95-th percentile113.85346
Maximum211.94333
Range211.94333
Interquartile range (IQR)46.567939

Descriptive statistics

Standard deviation46.120253
Coefficient of variation (CV)1.3395364
Kurtosis3.0274199
Mean34.430011
Median Absolute Deviation (MAD)14.95768
Skewness1.7732472
Sum3443.0011
Variance2127.0778
MonotonicityNot monotonic
2023-12-10T20:19:25.281665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.896255873225238 1
 
1.0%
72.3854632958825 1
 
1.0%
145.872808354107 1
 
1.0%
109.398411467152 1
 
1.0%
35.2468183425453 1
 
1.0%
89.0259524444026 1
 
1.0%
112.164965225816 1
 
1.0%
89.6908848199131 1
 
1.0%
19.9880933900201 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.796671887311323 1
 
1.0%
0.896255873225238 1
 
1.0%
0.968925268351609 1
 
1.0%
1.02672456770581 1
 
1.0%
1.14068537838381 1
 
1.0%
1.54997402899549 1
 
1.0%
1.77987973239191 1
 
1.0%
1.87044703977441 1
 
1.0%
2.26834069667562 1
 
1.0%
ValueCountFrequency (%)
211.94333495037 1
1.0%
186.786762759827 1
1.0%
186.425447539855 1
1.0%
145.872808354107 1
1.0%
114.907687295714 1
1.0%
113.797971717613 1
1.0%
112.164965225816 1
1.0%
109.398411467152 1
1.0%
109.01120331958 1
1.0%
108.738632188724 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0206237
Minimum0
Maximum30.90582
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:25.558878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25116282
median2.181146
Q37.0417531
95-th percentile16.602242
Maximum30.90582
Range30.90582
Interquartile range (IQR)6.7905903

Descriptive statistics

Standard deviation6.7253082
Coefficient of variation (CV)1.3395364
Kurtosis3.0274199
Mean5.0206237
Median Absolute Deviation (MAD)2.181146
Skewness1.7732472
Sum502.06237
Variance45.229771
MonotonicityNot monotonic
2023-12-10T20:19:25.845544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.130693058943989 1
 
1.0%
10.5553312439374 1
 
1.0%
21.2713401497091 1
 
1.0%
15.952601779673 1
 
1.0%
5.13973145933593 1
 
1.0%
12.9818664490214 1
 
1.0%
16.35602382047 1
 
1.0%
13.0788276503284 1
 
1.0%
2.91468669343198 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.116171607950213 1
 
1.0%
0.130693058943989 1
 
1.0%
0.141289793452961 1
 
1.0%
0.149718153548652 1
 
1.0%
0.166336049611801 1
 
1.0%
0.226018989871938 1
 
1.0%
0.259544103116018 1
 
1.0%
0.272750731709195 1
 
1.0%
0.330772040922709 1
 
1.0%
ValueCountFrequency (%)
30.9058200843647 1
1.0%
27.2374598868509 1
1.0%
27.1847724872457 1
1.0%
21.2713401497091 1
1.0%
16.7559706970893 1
1.0%
16.5941506992599 1
1.0%
16.35602382047 1
1.0%
15.952601779673 1
1.0%
15.8961386436802 1
1.0%
15.8563920088903 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0847299
Minimum0
Maximum12.833124
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:26.145492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.10429116
median0.90568438
Q32.9239701
95-th percentile6.8938029
Maximum12.833124
Range12.833124
Interquartile range (IQR)2.8196789

Descriptive statistics

Standard deviation2.7925716
Coefficient of variation (CV)1.3395364
Kurtosis3.0274199
Mean2.0847299
Median Absolute Deviation (MAD)0.90568438
Skewness1.7732472
Sum208.47299
Variance7.7984564
MonotonicityNot monotonic
2023-12-10T20:19:26.455488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0542681047755595 1
 
1.0%
4.38292459075597 1
 
1.0%
8.83256789066126 1
 
1.0%
6.62405082425293 1
 
1.0%
2.13418744352 1
 
1.0%
5.39050271169901 1
 
1.0%
6.79156507294861 1
 
1.0%
5.43076422730059 1
 
1.0%
1.21027485426662 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.0482383153560529 1
 
1.0%
0.0542681047755595 1
 
1.0%
0.0586682213789832 1
 
1.0%
0.0621679568083539 1
 
1.0%
0.0690682599460348 1
 
1.0%
0.0938506017285362 1
 
1.0%
0.107771343754491 1
 
1.0%
0.113255175183776 1
 
1.0%
0.137347552491767 1
 
1.0%
ValueCountFrequency (%)
12.8331243913396 1
1.0%
11.3098992318575 1
1.0%
11.2880216712186 1
1.0%
8.83256789066126 1
1.0%
6.9576363178977 1
1.0%
6.89044327285047 1
1.0%
6.79156507294861 1
1.0%
6.62405082425293 1
1.0%
6.60060545228928 1
1.0%
6.58410132759679 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9142
Minimum0
Maximum11.97
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:26.766393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0675
median0.835
Q32.6175
95-th percentile6.122
Maximum11.97
Range11.97
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation2.6553765
Coefficient of variation (CV)1.3871991
Kurtosis3.9605606
Mean1.9142
Median Absolute Deviation (MAD)0.835
Skewness1.9712284
Sum191.42
Variance7.0510246
MonotonicityNot monotonic
2023-12-10T20:19:27.076800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
3.46 2
 
2.0%
0.03 2
 
2.0%
0.01 2
 
2.0%
0.19 2
 
2.0%
0.09 2
 
2.0%
1.56 2
 
2.0%
1.98 1
 
1.0%
0.55 1
 
1.0%
0.92 1
 
1.0%
Other values (66) 66
66.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.01 2
 
2.0%
0.03 2
 
2.0%
0.04 1
 
1.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.12 1
 
1.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
11.97 1
1.0%
11.34 1
1.0%
11.23 1
1.0%
9.3 1
1.0%
8.25 1
1.0%
6.01 1
1.0%
6.0 1
1.0%
5.85 1
1.0%
5.82 1
1.0%
5.78 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.011205316
Minimum0
Maximum0.10538361
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:27.519469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00022369447
median0.0033844039
Q30.014958296
95-th percentile0.037029768
Maximum0.10538361
Range0.10538361
Interquartile range (IQR)0.014734601

Descriptive statistics

Standard deviation0.01847871
Coefficient of variation (CV)1.6491021
Kurtosis11.432784
Mean0.011205316
Median Absolute Deviation (MAD)0.0033844039
Skewness3.045339
Sum1.1205316
Variance0.00034146273
MonotonicityNot monotonic
2023-12-10T20:19:27.991121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0007923579385348 3
 
3.0%
9.90447423168569e-05 1
 
1.0%
0.0499185501276959 1
 
1.0%
0.0179361024268345 1
 
1.0%
0.0074193516062809 1
 
1.0%
0.0273003326095191 1
 
1.0%
0.0390416366078083 1
 
1.0%
0.0132539873354921 1
 
1.0%
0.0045380500116087 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 19
19.0%
6.09506106565274e-05 1
 
1.0%
8.80397709483173e-05 1
 
1.0%
9.90447423168569e-05 1
 
1.0%
0.000103351035461 1
 
1.0%
0.0001284904765191 1
 
1.0%
0.0001713206353588 1
 
1.0%
0.0002411524160758 1
 
1.0%
0.0002641193128449 1
 
1.0%
0.0003241464294006 1
 
1.0%
ValueCountFrequency (%)
0.105383605825136 1
1.0%
0.0988686627749603 1
1.0%
0.0726328110323617 1
1.0%
0.0499185501276959 1
1.0%
0.0390416366078083 1
1.0%
0.0369238799357243 1
1.0%
0.0368446441418708 1
1.0%
0.0356561072340685 1
1.0%
0.0354732554020989 1
1.0%
0.0343883345324127 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001633972
Minimum0
Maximum0.015367158
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:28.255457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.2619384 × 10-5
median0.00049351765
Q30.0021812358
95-th percentile0.0053997232
Maximum0.015367158
Range0.015367158
Interquartile range (IQR)0.0021486164

Descriptive statistics

Standard deviation0.0026945867
Coefficient of variation (CV)1.6491021
Kurtosis11.432784
Mean0.001633972
Median Absolute Deviation (MAD)0.00049351765
Skewness3.045339
Sum0.1633972
Variance7.2607974 × 10-6
MonotonicityNot monotonic
2023-12-10T20:19:28.568939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.0001155425429939 3
 
3.0%
1.4442817874239e-05 1
 
1.0%
0.0072791802086164 1
 
1.0%
0.0026154630186803 1
 
1.0%
0.0010818983571248 1
 
1.0%
0.0039809657995175 1
 
1.0%
0.0056930962093364 1
 
1.0%
0.0019327116282618 1
 
1.0%
0.0006617436553287 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 19
19.0%
8.88788792260864e-06 1
 
1.0%
1.28380603326569e-05 1
 
1.0%
1.4442817874239e-05 1
 
1.0%
1.50707664774668e-05 1
 
1.0%
1.87366285936074e-05 1
 
1.0%
2.49821714581432e-05 1
 
1.0%
3.5165121780756e-05 1
 
1.0%
3.85141809979708e-05 1
 
1.0%
4.72674039520551e-05 1
 
1.0%
ValueCountFrequency (%)
0.0153671582181903 1
1.0%
0.0144171417535737 1
1.0%
0.010591399774442 1
1.0%
0.0072791802086164 1
1.0%
0.0056930962093364 1
1.0%
0.0053842825035163 1
1.0%
0.0053727282492169 1
1.0%
0.005199414434726 1
1.0%
0.0051727507709582 1
1.0%
0.0050145463659358 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00067847953
Minimum0
Maximum0.0063809552
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:28.891937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.3544653 × 10-5
median0.00020492494
Q30.00090572166
95-th percentile0.0022421447
Maximum0.0063809552
Range0.0063809552
Interquartile range (IQR)0.00089217701

Descriptive statistics

Standard deviation0.001118882
Coefficient of variation (CV)1.6491021
Kurtosis11.432784
Mean0.00067847953
Median Absolute Deviation (MAD)0.00020492494
Skewness3.045339
Sum0.067847953
Variance1.251897 × 10-6
MonotonicityNot monotonic
2023-12-10T20:19:29.152708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
4.79771066642144e-05 3
 
3.0%
5.99713833302679e-06 1
 
1.0%
0.0030225577198455 1
 
1.0%
0.0010860272326717 1
 
1.0%
0.000449240180583 1
 
1.0%
0.0016530294023397 1
 
1.0%
0.0023639628920003 1
 
1.0%
0.0008025261478377 1
 
1.0%
0.0002747779745314 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
0.0 19
19.0%
3.69054666647803e-06 1
 
1.0%
5.33078962935715e-06 1
 
1.0%
5.99713833302679e-06 1
 
1.0%
6.257883477941e-06 1
 
1.0%
7.78007135095368e-06 1
 
1.0%
1.03734284679382e-05 1
 
1.0%
1.46017281151957e-05 1
 
1.0%
1.59923688880715e-05 1
 
1.0%
1.9626998180815e-05 1
 
1.0%
ValueCountFrequency (%)
0.0063809551863405 1
1.0%
0.005986476753768 1
1.0%
0.0043979014442196 1
1.0%
0.0030225577198455 1
1.0%
0.0023639628920003 1
1.0%
0.0022357331705523 1
1.0%
0.0022309354598859 1
1.0%
0.0021589697998896 1
1.0%
0.0021478981598902 1
1.0%
0.0020822064292269 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.842
Minimum0
Maximum5.27
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:29.446945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0275
median0.37
Q31.1475
95-th percentile2.6895
Maximum5.27
Range5.27
Interquartile range (IQR)1.12

Descriptive statistics

Standard deviation1.1685509
Coefficient of variation (CV)1.3878276
Kurtosis3.9611432
Mean0.842
Median Absolute Deviation (MAD)0.37
Skewness1.9708574
Sum84.2
Variance1.3655111
MonotonicityNot monotonic
2023-12-10T20:19:29.801284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.08 3
 
3.0%
1.52 3
 
3.0%
0.31 2
 
2.0%
0.07 2
 
2.0%
0.04 2
 
2.0%
0.37 2
 
2.0%
0.82 2
 
2.0%
0.01 2
 
2.0%
0.02 2
 
2.0%
Other values (55) 59
59.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.01 2
 
2.0%
0.02 2
 
2.0%
0.03 2
 
2.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.07 2
 
2.0%
0.08 3
 
3.0%
0.09 1
 
1.0%
0.1 1
 
1.0%
ValueCountFrequency (%)
5.27 1
1.0%
4.99 1
1.0%
4.94 1
1.0%
4.09 1
1.0%
3.63 1
1.0%
2.64 2
2.0%
2.57 1
1.0%
2.56 1
1.0%
2.54 1
1.0%
2.39 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0049292653
Minimum0
Maximum0.046396959
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:30.112260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.2091138 × 10-5
median0.0014879222
Q30.006608062
95-th percentile0.01629196
Maximum0.046396959
Range0.046396959
Interquartile range (IQR)0.0065259709

Descriptive statistics

Standard deviation0.008132677
Coefficient of variation (CV)1.6498761
Kurtosis11.434112
Mean0.0049292653
Median Absolute Deviation (MAD)0.0014879222
Skewness3.0452101
Sum0.49292653
Variance6.6140436 × 10-5
MonotonicityNot monotonic
2023-12-10T20:19:30.359816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
0.0003521590837932 2
 
2.0%
0.000920848415054 2
 
2.0%
4.95223711584285e-05 1
 
1.0%
0.0219659228516052 1
 
1.0%
0.0079235793853485 1
 
1.0%
0.0032414642940062 1
 
1.0%
0.0120294341577564 1
 
1.0%
0.0172157770281664 1
 
1.0%
0.0058346357292112 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
0.0 21
21.0%
3.44503451536894e-05 1
 
1.0%
4.28301588397219e-05 1
 
1.0%
4.95223711584285e-05 1
 
1.0%
6.42452382595829e-05 1
 
1.0%
8.80397709483173e-05 1
 
1.0%
0.000103351035461 1
 
1.0%
0.0001440650797336 1
 
1.0%
0.0002783960324581 1
 
1.0%
0.0002881301594672 1
 
1.0%
ValueCountFrequency (%)
0.0463969592897632 1
1.0%
0.0434916468484687 1
1.0%
0.0319584368542392 1
1.0%
0.0219659228516052 1
1.0%
0.0172157770281664 1
1.0%
0.0162433377399645 1
1.0%
0.0162037198430378 1
1.0%
0.0156643069387275 1
1.0%
0.015603356328071 1
1.0%
0.0151340366260157 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00071879112
Minimum0
Maximum0.0067656578
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:30.638345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.1970624 × 10-5
median0.00021697051
Q30.00096359518
95-th percentile0.0023757122
Maximum0.0067656578
Range0.0067656578
Interquartile range (IQR)0.00095162456

Descriptive statistics

Standard deviation0.0011859163
Coefficient of variation (CV)1.6498761
Kurtosis11.434112
Mean0.00071879112
Median Absolute Deviation (MAD)0.00021697051
Skewness3.0452101
Sum0.071879112
Variance1.4063974 × 10-6
MonotonicityNot monotonic
2023-12-10T20:19:30.917265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
5.13522413306277e-05 2
 
2.0%
0.0001342791715875 2
 
2.0%
7.22140893711952e-06 1
 
1.0%
0.0032030960529979 1
 
1.0%
0.0011554254299391 1
 
1.0%
0.0004726740395205 1
 
1.0%
0.0017541458799984 1
 
1.0%
0.0025104243432313 1
 
1.0%
0.0008508132711369 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
0.0 21
21.0%
5.02358882582228e-06 1
 
1.0%
6.2455428645358e-06 1
 
1.0%
7.22140893711952e-06 1
 
1.0%
9.36831429680371e-06 1
 
1.0%
1.28380603326569e-05 1
 
1.0%
1.50707664774668e-05 1
 
1.0%
2.10077350898023e-05 1
 
1.0%
4.05960286194827e-05 1
 
1.0%
4.20154701796045e-05 1
 
1.0%
ValueCountFrequency (%)
0.0067656577953102 1
1.0%
0.0063420018043325 1
1.0%
0.0046602159007544 1
1.0%
0.0032030960529979 1
1.0%
0.0025104243432313 1
1.0%
0.0023686221313752 1
1.0%
0.0023628450042255 1
1.0%
0.0022841871961104 1
1.0%
0.0022752993081878 1
1.0%
0.0022068625711837 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00029846598
Minimum0
Maximum0.0028093261
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:19:31.600555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.9706011 × 10-6
median9.0093374 × 10-5
Q30.00040011677
95-th percentile0.00098647474
Maximum0.0028093261
Range0.0028093261
Interquartile range (IQR)0.00039514617

Descriptive statistics

Standard deviation0.00049243189
Coefficient of variation (CV)1.6498761
Kurtosis11.434112
Mean0.00029846598
Median Absolute Deviation (MAD)9.0093374 × 10-5
Skewness3.0452101
Sum0.029846598
Variance2.4248916 × 10-7
MonotonicityNot monotonic
2023-12-10T20:19:31.996138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
21.0%
2.13231585174286e-05 2
 
2.0%
5.5757178015168e-05 2
 
2.0%
2.9985691665134e-06 1
 
1.0%
0.0013300320125246 1
 
1.0%
0.0004797710666421 1
 
1.0%
0.0001962699818081 1
 
1.0%
0.0007283797102658 1
 
1.0%
0.0010424116811588 1
 
1.0%
0.0003532859672546 1
 
1.0%
Other values (68) 68
68.0%
ValueCountFrequency (%)
0.0 21
21.0%
2.08596115931367e-06 1
 
1.0%
2.59335711698456e-06 1
 
1.0%
2.9985691665134e-06 1
 
1.0%
3.89003567547684e-06 1
 
1.0%
5.33078962935715e-06 1
 
1.0%
6.257883477941e-06 1
 
1.0%
8.72311030258443e-06 1
 
1.0%
1.68568212603996e-05 1
 
1.0%
1.74462206051689e-05 1
 
1.0%
ValueCountFrequency (%)
0.0028093261346712 1
1.0%
0.0026334100769024 1
1.0%
0.0019350766354566 1
1.0%
0.0013300320125246 1
1.0%
0.0010424116811588 1
1.0%
0.0009835306866163 1
1.0%
0.0009811318312831 1
1.0%
0.0009484704932848 1
1.0%
0.0009447799466183 1
1.0%
0.0009163627372864 1
1.0%

Sample

기본키도로종류지점주소방향차선측정구간장비이정(km)측정일측정시간평균 속도(km/hr)위도(°)경도(°)기울기(°)풍향풍속(m/s)CO(g/km)CO_100M(g/km)CO_300M(g/km)CO_500M(g/km)NOX(g/km)NOX_100M(g/km)NOX_300M(g/km)NOX_500M(g/km)HC(g/km)HC_100M(g/km)HC_300M(g/km)HC_500M(g/km)PM(g/km)PM_100M(g/km)PM_300M(g/km)PM_500M(g/km)CO2(g/km)CO2_100M(g/km)CO2_300M(g/km)CO2_500M(g/km)TSP(g/km)TSP_100M(g/km)TSP_300M(g/km)TSP_500M(g/km)PM10(g/km)PM10_100M(g/km)PM10_300M(g/km)PM10_500M(g/km)
01도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202101010110.035.681944129.1811110.22545북서3.20.870.0021540.0003140.000130.60.0014860.0002170.000090.060.0001490.0000220.0000090.00.00.00.0361.960.8962560.1306930.0542680.040.0000990.0000140.0000060.020.000050.0000070.000003
12도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420210101084.035.681944129.1811110.22545북서3.212.480.0309020.0045060.00187117.030.0421680.0061490.0025531.990.0049270.0007190.0002980.660.0016340.0002380.0000993550.618.7917311.282020.5323370.680.0016840.0002460.0001020.30.0007430.0001080.000045
23도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420210101071.4335.681944129.1811110.22545북서3.216.090.0398410.005810.00241243.230.1070430.0156090.0064814.680.0115880.001690.0007023.080.0076260.0011120.0004624198.3610.3956371.5159040.6294541.560.0038630.0005630.0002340.680.0016840.0002460.000102
34도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202101010110.035.681944129.1811110.19158북서3.25.210.0129010.0018810.0007813.620.0089640.0013070.0005430.340.0008420.0001230.0000510.00.00.00.02171.765.3775350.7841580.3256090.270.0006690.0000970.000040.120.0002970.0000430.000018
45도로공사A-0010-0538E-6울산 울주군 두서면 활천리S2활천IC-언양JC53.420210101095.435.681944129.1811110.19158북서3.217.980.0445210.0064920.00269618.490.0457830.0066760.0027721.920.0047540.0006930.0002880.790.0019560.0002850.0001186246.3415.4666782.2553690.9365041.410.0034910.0005090.0002110.620.0015350.0002240.000093
56도로공사A-0010-0538E-6울산 울주군 두서면 활천리S3활천IC-언양JC53.420210101087.1735.681944129.1811110.19158북서3.221.810.0540040.0078750.0032779.470.1967770.0286940.0119156.510.016120.0023510.0009764.710.0116630.0017010.0007068042.8119.9149512.9040211.2058462.560.0063390.0009240.0003841.120.0027730.0004040.000168
67도로공사A-0010-1073E-6경북 경산시 진량읍E1영천IC-경산IC107.31202101010111.635.882306128.8488160.409237북서3.71.080.0023130.0003370.000140.760.0016280.0002370.0000990.070.000150.0000220.0000090.00.00.00.0452.450.9689250.141290.0586680.060.0001280.0000190.0000080.020.0000430.0000060.000003
78도로공사A-0010-1073E-6경북 경산시 진량읍E2영천IC-경산IC107.31202101010100.5435.882306128.8488160.409237북서3.76.960.0149050.0021730.0009026.010.012870.0018770.0007790.670.0014350.0002090.0000870.730.0015630.0002280.0000952558.925.4799480.7990920.331810.970.0020770.0003030.0001260.430.0009210.0001340.000056
89도로공사A-0010-1073E-6경북 경산시 진량읍E3영천IC-경산IC107.3120210101083.7335.882306128.8488160.409237북서3.75.290.0113290.0016520.00068622.00.0471130.006870.0028531.590.0034050.0004970.0002061.420.0030410.0004430.0001842426.385.1961120.7577030.3146230.980.0020990.0003060.0001270.430.0009210.0001340.000056
910도로공사A-0010-1073E-6경북 경산시 진량읍S1경산IC-영천IC107.31202101010130.2835.882306128.848816-0.411936북서3.70.860.0018420.0002690.0001120.710.001520.0002220.0000920.050.0001070.0000160.0000060.00.00.00.0479.441.0267250.1497180.0621680.080.0001710.0000250.000010.030.0000640.0000090.000004
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-안성IC361.3202101010100.6737.008889127.149167-1.30142북동1.038.470.304820.0444490.01845736.320.2877840.0419650.0174253.180.0251970.0036740.0015261.080.0085570.0012480.00051813269.66105.14320415.3321036.3663992.080.0164810.0024030.0009980.910.007210.0010510.000437
9192도로공사A-0010-3613E-10경기 안성시 원곡면S3안성JC-안성IC361.320210101090.2537.008889127.149167-1.30142북동1.041.490.3287490.0479390.01990683.50.6616190.0964780.0400618.90.070520.0102830.004274.680.0370820.0054070.00224512369.3898.00976414.2918965.9344714.660.0369240.0053840.0022362.050.0162430.0023690.000984
9293도로공사A-0010-3613E-10경기 안성시 원곡면S4안성JC-안성IC361.320210101082.537.008889127.149167-1.30142북동1.056.730.4495050.0655470.027217109.870.8705640.1269470.05271213.780.1091870.0159220.0066115.660.0448470.006540.00271614361.94113.79797216.5941516.8904434.340.0343880.0050150.0020821.910.0151340.0022070.000916
9394도로공사A-0010-3613E-10경기 안성시 원곡면S5안성JC-안성IC361.320210101074.037.008889127.149167-1.30142북동1.015.910.1260640.0183830.00763320.80.164810.0240330.0099792.50.0198090.0028890.0011991.110.0087950.0012830.0005334193.7333.2293534.8455422.012030.860.0068140.0009940.0004130.380.0030110.0004390.000182
9495도로공사A-0010-3801E-10경기 화성시 동탄면 송리E1오산IC-동탄JC380.1202101010114.037.158778127.088333-0.660004북1.36.940.04230.0061680.0025614.830.0294390.0042930.0017830.450.0027430.00040.0001660.00.00.00.02895.6817.6493462.5736481.0686640.360.0021940.000320.0001330.160.0009750.0001420.000059
9596도로공사A-0010-3801E-10경기 화성시 동탄면 송리E2오산IC-동탄JC380.120210101099.3337.158778127.088333-0.660004북1.346.40.2828110.041240.01712439.70.2419740.0352850.0146513.890.023710.0034570.0014360.960.0058510.0008530.00035414876.1890.67122613.2217825.4901241.980.0120680.001760.0007310.870.0053030.0007730.000321
9697도로공사A-0010-3801E-10경기 화성시 동탄면 송리E3오산IC-동탄JC380.120210101088.037.158778127.088333-0.660004북1.356.160.3422990.0499140.020726106.050.6463810.0942560.0391389.730.0593050.0086480.0035916.230.0379720.0055370.00229917885.17109.01120315.8961396.6006055.820.0354730.0051730.0021482.560.0156030.0022750.000945
9798도로공사A-0010-3801E-10경기 화성시 동탄면 송리E4오산IC-동탄JC380.120210101079.1737.158778127.088333-0.660004북1.357.450.3501610.0510610.021202129.010.7863240.1146630.04761212.140.0739940.010790.004488.660.0527830.0076970.00319618852.59114.90768716.7559716.9576365.850.0356560.0051990.0021592.570.0156640.0022840.000948
9899도로공사A-0010-3801E-10경기 화성시 동탄면 송리E5오산IC-동탄JC380.120210101076.037.158778127.088333-0.660004북1.30.870.0053030.0007730.0003210.490.0029870.0004360.0001810.070.0004270.0000620.0000260.00.00.00.0254.31.5499740.2260190.0938510.010.0000610.0000090.0000040.00.00.00.0
99100도로공사A-0010-3801E-10경기 화성시 동탄면 송리S1동탄JC-오산IC380.1202101010111.037.158778127.0883330.671977북1.315.660.0954490.0139180.00577910.630.064790.0094480.0039231.140.0069480.0010130.0004210.220.0013410.0001960.0000815780.5735.2329275.1377062.1333460.920.0056070.0008180.000340.410.0024990.0003640.000151