Overview

Dataset statistics

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

Variable types

Numeric35
Categorical9

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
풍향 is highly imbalanced (67.3%)Imbalance
기본키 has unique valuesUnique
평균 속도(km/hr) has 4 (4.0%) zerosZeros
CO(g/km) has 4 (4.0%) zerosZeros
CO_100M(g/km) has 4 (4.0%) zerosZeros
CO_300M(g/km) has 4 (4.0%) zerosZeros
CO_500M(g/km) has 4 (4.0%) zerosZeros
NOX(g/km) has 4 (4.0%) zerosZeros
NOX_100M(g/km) has 4 (4.0%) zerosZeros
NOX_300M(g/km) has 4 (4.0%) zerosZeros
NOX_500M(g/km) has 4 (4.0%) zerosZeros
HC(g/km) has 4 (4.0%) zerosZeros
HC_100M(g/km) has 4 (4.0%) zerosZeros
HC_300M(g/km) has 4 (4.0%) zerosZeros
HC_500M(g/km) has 4 (4.0%) zerosZeros
PM(g/km) has 4 (4.0%) zerosZeros
PM_100M(g/km) has 4 (4.0%) zerosZeros
PM_300M(g/km) has 4 (4.0%) zerosZeros
PM_500M(g/km) has 4 (4.0%) zerosZeros
CO2(g/km) has 4 (4.0%) zerosZeros
CO2_100M(g/km) has 4 (4.0%) zerosZeros
CO2_300M(g/km) has 4 (4.0%) zerosZeros
CO2_500M(g/km) has 4 (4.0%) zerosZeros
TSP(g/km) has 4 (4.0%) zerosZeros
TSP_100M(g/km) has 4 (4.0%) zerosZeros
TSP_300M(g/km) has 4 (4.0%) zerosZeros
TSP_500M(g/km) has 4 (4.0%) zerosZeros
PM10(g/km) has 4 (4.0%) zerosZeros
PM10_100M(g/km) has 4 (4.0%) zerosZeros
PM10_300M(g/km) has 4 (4.0%) zerosZeros
PM10_500M(g/km) has 4 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:03:09.726537
Analysis finished2023-12-10 11:03:10.306644
Duration0.58 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
2023-12-10T20:03:10.497723image/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
2023-12-10T20:03:10.782132image/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

2023-12-10T20:03:11.008141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:11.165203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3352E-9
9 
A-0010-1185E-8
8 
A-0100-0698S-8
8 
A-0010-0083E-6
6 
Other values (11)
59 

Length

Max length15
Median length14
Mean length14.1
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-0010-3352E-9 9
 
9.0%
A-0010-1185E-8 8
 
8.0%
A-0100-0698S-8 8
 
8.0%
A-0010-0083E-6 6
 
6.0%
A-0010-0538E-6 6
 
6.0%
A-0010-1073E-6 6
 
6.0%
A-0010-1880E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (6) 29
29.0%

Length

2023-12-10T20:03:11.339945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-3452s-10 10
 
10.0%
a-0010-3352e-9 9
 
9.0%
a-0010-1185e-8 8
 
8.0%
a-0100-0698s-8 8
 
8.0%
a-0010-0083e-6 6
 
6.0%
a-0010-0538e-6 6
 
6.0%
a-0010-1073e-6 6
 
6.0%
a-0010-1880e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (6) 29
29.0%

주소
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
충북 청원군 남이면
13 
충남 천안시 서북구 성거읍 송남리
10 
충청 천안시 구성동
9 
대구 동구 안심3동
8 
경남 진주시 가좌동
8 
Other values (9)
52 

Length

Max length18
Median length10
Mean length11.62
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충북 청원군 남이면 13
13.0%
충남 천안시 서북구 성거읍 송남리 10
10.0%
충청 천안시 구성동 9
9.0%
대구 동구 안심3동 8
 
8.0%
경남 진주시 가좌동 8
 
8.0%
경남 양산시 동면 6
 
6.0%
울산 울주군 두서면 활천리 6
 
6.0%
경북 경산시 진량읍 6
 
6.0%
경북 김천시 아포읍 봉산리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (4) 22
22.0%

Length

2023-12-10T20:03:11.551079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 25
 
7.3%
천안시 19
 
5.6%
청원군 19
 
5.6%
경남 18
 
5.3%
남이면 13
 
3.8%
대전 12
 
3.5%
대덕구 12
 
3.5%
경북 12
 
3.5%
서북구 10
 
2.9%
충남 10
 
2.9%
Other values (29) 192
56.1%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
E
52 
S
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 (%)
E 52
52.0%
S 48
48.0%

Length

2023-12-10T20:03:11.772401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:11.948471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 52
52.0%
s 48
48.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
29 
2
29 
3
27 
4
11 
5
4 

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 29
29.0%
2 29
29.0%
3 27
27.0%
4 11
 
11.0%
5 4
 
4.0%

Length

2023-12-10T20:03:12.150568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:12.325272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
29.0%
2 29
29.0%
3 27
27.0%
4 11
 
11.0%
5 4
 
4.0%

측정구간
Categorical

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
북천안IC-천안IC
 
5
천안IC-천안JC
 
5
청주JC-남이JC
 
5
천안IC-북천안IC
 
5
진주JC-진주IC
 
4
Other values (24)
76 

Length

Max length10
Median length9
Mean length9.32
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북천안IC-천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
진주JC-진주IC 4
 
4.0%
천안JC-천안IC 4
 
4.0%
경산IC-동대구JC 4
 
4.0%
동대구JC-경산IC 4
 
4.0%
진주IC-진주JC 4
 
4.0%
남청주IC-청주JC 4
 
4.0%
Other values (19) 56
56.0%

Length

2023-12-10T20:03:12.546366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북천안ic-천안ic 5
 
5.0%
청주jc-남이jc 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
동대구jc-경산ic 4
 
4.0%
청주jc-남청주ic 4
 
4.0%
진주ic-진주jc 4
 
4.0%
남청주ic-청주jc 4
 
4.0%
경산ic-동대구jc 4
 
4.0%
천안jc-천안ic 4
 
4.0%
Other values (19) 56
56.0%

장비이정(km)
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.1008
Minimum8.3
Maximum345.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:12.789418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1107.31
median266.05
Q3300.125
95-th percentile345.2
Maximum345.2
Range336.9
Interquartile range (IQR)192.815

Descriptive statistics

Standard deviation112.85135
Coefficient of variation (CV)0.53458516
Kurtosis-1.4061257
Mean211.1008
Median Absolute Deviation (MAD)78.03
Skewness-0.39314881
Sum21110.08
Variance12735.428
MonotonicityNot monotonic
2023-12-10T20:03:12.986169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
345.2 10
 
10.0%
335.2 9
 
9.0%
69.8 8
 
8.0%
118.5 8
 
8.0%
8.3 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
53.4 6
 
6.0%
Other values (6) 29
29.0%
ValueCountFrequency (%)
8.3 6
6.0%
53.4 6
6.0%
69.8 8
8.0%
107.31 6
6.0%
112.4 4
4.0%
118.5 8
8.0%
188.02 6
6.0%
262.6 6
6.0%
269.5 6
6.0%
276.1 6
6.0%
ValueCountFrequency (%)
345.2 10
10.0%
335.2 9
9.0%
306.8 6
6.0%
297.9 5
5.0%
295.6 4
 
4.0%
295.3 4
 
4.0%
276.1 6
6.0%
269.5 6
6.0%
262.6 6
6.0%
188.02 6
6.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20210201
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210201
2nd row20210201
3rd row20210201
4th row20210201
5th row20210201

Common Values

ValueCountFrequency (%)
20210201 100
100.0%

Length

2023-12-10T20:03:13.212086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:13.400316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210201 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

2023-12-10T20:03:13.575439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:13.758277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.9397
Minimum0
Maximum119.51
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:14.113450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64.8555
Q182.1475
median90.075
Q396.3775
95-th percentile112.684
Maximum119.51
Range119.51
Interquartile range (IQR)14.23

Descriptive statistics

Standard deviation21.131989
Coefficient of variation (CV)0.24306489
Kurtosis9.603451
Mean86.9397
Median Absolute Deviation (MAD)6.8
Skewness-2.6734364
Sum8693.97
Variance446.56094
MonotonicityNot monotonic
2023-12-10T20:03:14.379623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
94.32 2
 
2.0%
91.14 1
 
1.0%
87.77 1
 
1.0%
90.81 1
 
1.0%
90.27 1
 
1.0%
97.51 1
 
1.0%
103.45 1
 
1.0%
69.38 1
 
1.0%
79.01 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
0.0 4
4.0%
58.12 1
 
1.0%
65.21 1
 
1.0%
69.38 1
 
1.0%
71.51 1
 
1.0%
71.58 1
 
1.0%
73.48 1
 
1.0%
76.06 1
 
1.0%
76.41 1
 
1.0%
77.03 1
 
1.0%
ValueCountFrequency (%)
119.51 1
1.0%
117.81 1
1.0%
117.79 1
1.0%
115.71 1
1.0%
115.23 1
1.0%
112.55 1
1.0%
110.1 1
1.0%
110.09 1
1.0%
108.76 1
1.0%
107.4 1
1.0%

위도(°)
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.169322
Minimum35.149019
Maximum36.868903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:14.636089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.149019
5-th percentile35.149019
Q135.882306
median36.339861
Q336.592758
95-th percentile36.868903
Maximum36.868903
Range1.7198838
Interquartile range (IQR)0.71045154

Descriptive statistics

Standard deviation0.55674663
Coefficient of variation (CV)0.015392786
Kurtosis-0.9426791
Mean36.169322
Median Absolute Deviation (MAD)0.4351287
Skewness-0.54903171
Sum3616.9322
Variance0.30996681
MonotonicityNot monotonic
2023-12-10T20:03:14.870115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
36.86890278 10
 
10.0%
36.78083333 9
 
9.0%
35.149019 8
 
8.0%
35.90473241 8
 
8.0%
35.30694444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
35.68194444 6
 
6.0%
Other values (6) 29
29.0%
ValueCountFrequency (%)
35.149019 8
8.0%
35.27416667 4
4.0%
35.30694444 6
6.0%
35.68194444 6
6.0%
35.88230609 6
6.0%
35.90473241 8
8.0%
36.15572222 6
6.0%
36.33222222 6
6.0%
36.3475 6
6.0%
36.38961 6
6.0%
ValueCountFrequency (%)
36.86890278 10
10.0%
36.78083333 9
9.0%
36.64019722 6
6.0%
36.57694444 5
5.0%
36.55638889 4
 
4.0%
36.54 4
 
4.0%
36.38961 6
6.0%
36.3475 6
6.0%
36.33222222 6
6.0%
36.15572222 6
6.0%

경도(°)
Real number (ℝ)

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.90933
Minimum127.17667
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:15.085609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.17667
5-th percentile127.17667
Q1127.41216
median127.50167
Q3128.56147
95-th percentile129.18111
Maximum129.18111
Range2.0044444
Interquartile range (IQR)1.1493087

Descriptive statistics

Standard deviation0.6870234
Coefficient of variation (CV)0.005371175
Kurtosis-1.1445523
Mean127.90933
Median Absolute Deviation (MAD)0.325
Skewness0.59588992
Sum12790.933
Variance0.47200115
MonotonicityNot monotonic
2023-12-10T20:03:15.309410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
127.1867222 10
 
10.0%
127.1766667 9
 
9.0%
128.104573 8
 
8.0%
128.5614716 8
 
8.0%
129.0747222 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
129.1811111 6
 
6.0%
Other values (6) 29
29.0%
ValueCountFrequency (%)
127.1766667 9
9.0%
127.1867222 10
10.0%
127.3781278 6
6.0%
127.423508 6
6.0%
127.4277778 5
5.0%
127.4325 4
 
4.0%
127.4338889 4
 
4.0%
127.4691667 6
6.0%
127.5341667 6
6.0%
128.104573 8
8.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
129.0747222 6
6.0%
128.8488161 6
6.0%
128.5614716 8
8.0%
128.4513889 4
4.0%
128.2132778 6
6.0%
128.104573 8
8.0%
127.5341667 6
6.0%
127.4691667 6
6.0%
127.4338889 4
4.0%

기울기(°)
Real number (ℝ)

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.16641478
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size1.0 KiB
2023-12-10T20:03:15.540613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-3.2671246
Q1-1.22799
median0.123751
Q30.852122
95-th percentile3.071416
Maximum12.47809
Range25.72385
Interquartile range (IQR)2.080112

Descriptive statistics

Standard deviation3.514413
Coefficient of variation (CV)-21.118395
Kurtosis8.6607135
Mean-0.16641478
Median Absolute Deviation (MAD)0.931612
Skewness-0.20973552
Sum-16.641478
Variance12.351099
MonotonicityNot monotonic
2023-12-10T20:03:15.748269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1.758683 5
 
5.0%
0.61369 5
 
5.0%
-0.624001 5
 
5.0%
1.544389 5
 
5.0%
1.056036 4
 
4.0%
0.123751 4
 
4.0%
-0.184388 4
 
4.0%
0.166426 4
 
4.0%
-0.131348 4
 
4.0%
-1.359001 4
 
4.0%
Other values (19) 56
56.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-5.440052 2
 
2.0%
-3.15276 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.359001 4
4.0%
-1.252479 3
3.0%
-1.22799 3
3.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
ValueCountFrequency (%)
12.47809 3
3.0%
3.071416 3
3.0%
2.703849 3
3.0%
1.544389 5
5.0%
1.22799 3
3.0%
1.172023 3
3.0%
1.056036 4
4.0%
0.852122 2
 
2.0%
0.688696 3
3.0%
0.61369 5
5.0%

풍향
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
서
94 
남서
 
6

Length

Max length2
Median length1
Mean length1.06
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서 94
94.0%
남서 6
 
6.0%

Length

2023-12-10T20:03:15.974184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:16.152690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서 94
94.0%
남서 6
 
6.0%

풍속(m/s)
Real number (ℝ)

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9163514
Minimum3.023913
Maximum7.1184783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:16.329290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.023913
5-th percentile3.023913
Q13.0315217
median3.2913043
Q34.1054945
95-th percentile7.1184783
Maximum7.1184783
Range4.0945652
Interquartile range (IQR)1.0739728

Descriptive statistics

Standard deviation1.2083962
Coefficient of variation (CV)0.30855153
Kurtosis1.1188109
Mean3.9163514
Median Absolute Deviation (MAD)0.26521739
Skewness1.5105034
Sum391.63514
Variance1.4602215
MonotonicityNot monotonic
2023-12-10T20:03:16.512952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.02826086956522 19
19.0%
3.275 10
10.0%
3.29130434782609 9
9.0%
5.9891304347826 8
8.0%
3.71304347826087 8
8.0%
4.10549450549451 6
 
6.0%
4.25434782608695 6
 
6.0%
7.11847826086956 6
 
6.0%
3.94891304347827 6
 
6.0%
3.03260869565217 6
 
6.0%
Other values (3) 16
16.0%
ValueCountFrequency (%)
3.02391304347826 6
 
6.0%
3.02826086956522 19
19.0%
3.03260869565217 6
 
6.0%
3.12282608695652 6
 
6.0%
3.275 10
10.0%
3.29130434782609 9
9.0%
3.71304347826087 8
8.0%
3.94891304347827 6
 
6.0%
4.10549450549451 6
 
6.0%
4.25434782608695 6
 
6.0%
ValueCountFrequency (%)
7.11847826086956 6
6.0%
5.9891304347826 8
8.0%
5.61739130434783 4
 
4.0%
4.25434782608695 6
6.0%
4.10549450549451 6
6.0%
3.94891304347827 6
6.0%
3.71304347826087 8
8.0%
3.29130434782609 9
9.0%
3.275 10
10.0%
3.12282608695652 6
6.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5502.6659
Minimum0
Maximum14231.27
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:17.117534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile233.109
Q12649.9275
median5337.965
Q38195.5475
95-th percentile11819.322
Maximum14231.27
Range14231.27
Interquartile range (IQR)5545.62

Descriptive statistics

Standard deviation3574.9524
Coefficient of variation (CV)0.64967644
Kurtosis-0.60670575
Mean5502.6659
Median Absolute Deviation (MAD)2773.655
Skewness0.41046961
Sum550266.59
Variance12780285
MonotonicityNot monotonic
2023-12-10T20:03:17.375229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
5904.52 1
 
1.0%
10178.24 1
 
1.0%
7299.25 1
 
1.0%
7518.58 1
 
1.0%
2073.06 1
 
1.0%
14231.27 1
 
1.0%
9250.9 1
 
1.0%
10362.43 1
 
1.0%
4723.25 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
176.47 1
 
1.0%
236.09 1
 
1.0%
767.95 1
 
1.0%
912.25 1
 
1.0%
958.66 1
 
1.0%
1005.4 1
 
1.0%
1022.35 1
 
1.0%
1028.72 1
 
1.0%
1311.63 1
 
1.0%
ValueCountFrequency (%)
14231.27 1
1.0%
13876.22 1
1.0%
12929.81 1
1.0%
12888.23 1
1.0%
12045.84 1
1.0%
11807.4 1
1.0%
11067.67 1
1.0%
10732.09 1
1.0%
10506.91 1
1.0%
10362.43 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.303728
Minimum0
Maximum36.255693
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:17.656477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.60839959
Q15.5602438
median9.8584189
Q317.975516
95-th percentile28.560576
Maximum36.255693
Range36.255693
Interquartile range (IQR)12.415272

Descriptive statistics

Standard deviation9.2671585
Coefficient of variation (CV)0.75319926
Kurtosis-0.40856624
Mean12.303728
Median Absolute Deviation (MAD)5.8138665
Skewness0.71638191
Sum1230.3728
Variance85.880226
MonotonicityNot monotonic
2023-12-10T20:03:17.956251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
11.3956876302634 1
 
1.0%
24.5033834979127 1
 
1.0%
17.6599043751162 1
 
1.0%
18.190554349647 1
 
1.0%
5.01558945972235 1
 
1.0%
34.2607628108927 1
 
1.0%
22.2708788946655 1
 
1.0%
24.9468077251348 1
 
1.0%
11.3708859396631 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.447759181970714 1
 
1.0%
0.61685434713978 1
 
1.0%
1.13797796210753 1
 
1.0%
1.14506841021104 1
 
1.0%
1.83044934509812 1
 
1.0%
1.87252360166252 1
 
1.0%
1.92357201334258 1
 
1.0%
2.00937536463035 1
 
1.0%
2.01124086115046 1
 
1.0%
ValueCountFrequency (%)
36.2556932901349 1
1.0%
34.2607628108927 1
1.0%
33.6742797341578 1
1.0%
31.5184766485823 1
1.0%
31.12759111449 1
1.0%
28.4254694636061 1
1.0%
28.0809912845832 1
1.0%
27.4917977894241 1
1.0%
26.8095338056656 1
1.0%
26.7316654407311 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7941437
Minimum0
Maximum5.2868468
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:18.222094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.088717526
Q10.81080112
median1.4375659
Q32.6212103
95-th percentile4.1647359
Maximum5.2868468
Range5.2868468
Interquartile range (IQR)1.8104092

Descriptive statistics

Standard deviation1.3513477
Coefficient of variation (CV)0.75319926
Kurtosis-0.40856624
Mean1.7941437
Median Absolute Deviation (MAD)0.84778469
Skewness0.71638191
Sum179.41437
Variance1.8261405
MonotonicityNot monotonic
2023-12-10T20:03:18.486906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1.66173223480235 1
 
1.0%
3.57311147350783 1
 
1.0%
2.57518750213226 1
 
1.0%
2.65256748978067 1
 
1.0%
0.731379005126596 1
 
1.0%
4.99594371124946 1
 
1.0%
3.24756509281306 1
 
1.0%
3.63777210268393 1
 
1.0%
1.65811562384517 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0652927572473542 1
 
1.0%
0.0899504080910328 1
 
1.0%
0.165941251066484 1
 
1.0%
0.166975188337764 1
 
1.0%
0.266918222016242 1
 
1.0%
0.273053538344387 1
 
1.0%
0.280497476259897 1
 
1.0%
0.293009419313715 1
 
1.0%
0.293281448154971 1
 
1.0%
ValueCountFrequency (%)
5.28684676081559 1
1.0%
4.99594371124946 1
1.0%
4.91042207662795 1
1.0%
4.59606039917432 1
1.0%
4.53906102246324 1
1.0%
4.1450345454908 1
1.0%
4.09480234249954 1
1.0%
4.00888547155604 1
1.0%
3.90939695526455 1
1.0%
3.89804210101782 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74498812
Minimum0
Maximum2.1952746
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:18.758123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.036838467
Q10.33667159
median0.59692519
Q31.0884137
95-th percentile1.7293368
Maximum2.1952746
Range2.1952746
Interquartile range (IQR)0.7517421

Descriptive statistics

Standard deviation0.5611245
Coefficient of variation (CV)0.75319926
Kurtosis-0.40856624
Mean0.74498812
Median Absolute Deviation (MAD)0.3520284
Skewness0.71638191
Sum74.498812
Variance0.3148607
MonotonicityNot monotonic
2023-12-10T20:03:19.012251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.690006491207971 1
 
1.0%
1.48367472141101 1
 
1.0%
1.06930349868326 1
 
1.0%
1.10143424312497 1
 
1.0%
0.303692887759744 1
 
1.0%
2.07448198829807 1
 
1.0%
1.34849703684538 1
 
1.0%
1.51052396518368 1
 
1.0%
0.688504754054196 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0271117243717062 1
 
1.0%
0.0373504010873334 1
 
1.0%
0.0689043264594699 1
 
1.0%
0.0693336516020794 1
 
1.0%
0.110833323176645 1
 
1.0%
0.113380910569711 1
 
1.0%
0.116471881169112 1
 
1.0%
0.121667256058007 1
 
1.0%
0.121780211480265 1
 
1.0%
ValueCountFrequency (%)
2.19527460958142 1
1.0%
2.07448198829807 1
1.0%
2.03897056125123 1
1.0%
1.90843713746179 1
1.0%
1.88476910051712 1
1.0%
1.72115620240714 1
1.0%
1.70029812105941 1
1.0%
1.66462257874658 1
1.0%
1.62331163790782 1
1.0%
1.61859672477508 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12847.834
Minimum0
Maximum123295.67
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:19.273294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile691.1915
Q12337.7375
median7775.235
Q318583.98
95-th percentile35601.134
Maximum123295.67
Range123295.67
Interquartile range (IQR)16246.243

Descriptive statistics

Standard deviation15977.261
Coefficient of variation (CV)1.2435762
Kurtosis22.242165
Mean12847.834
Median Absolute Deviation (MAD)6529.74
Skewness3.7083167
Sum1284783.4
Variance2.5527286 × 108
MonotonicityNot monotonic
2023-12-10T20:03:19.537334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
6387.92 1
 
1.0%
14334.04 1
 
1.0%
7039.5 1
 
1.0%
5221.28 1
 
1.0%
5912.69 1
 
1.0%
19632.18 1
 
1.0%
23653.04 1
 
1.0%
14783.28 1
 
1.0%
3808.95 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
420.66 1
 
1.0%
705.43 1
 
1.0%
743.78 1
 
1.0%
820.21 1
 
1.0%
843.11 1
 
1.0%
863.86 1
 
1.0%
914.72 1
 
1.0%
953.09 1
 
1.0%
973.05 1
 
1.0%
ValueCountFrequency (%)
123295.67 1
1.0%
47384.51 1
1.0%
42415.8 1
1.0%
40478.82 1
1.0%
37988.76 1
1.0%
35475.47 1
1.0%
31831.57 1
1.0%
31818.06 1
1.0%
30788.54 1
1.0%
30776.69 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.766309
Minimum0
Maximum322.14609
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:19.798851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.96040787
Q15.2868396
median15.054571
Q347.511572
95-th percentile80.670804
Maximum322.14609
Range322.14609
Interquartile range (IQR)42.224732

Descriptive statistics

Standard deviation39.820932
Coefficient of variation (CV)1.3842906
Kurtosis29.274727
Mean28.766309
Median Absolute Deviation (MAD)12.81898
Skewness4.4024625
Sum2876.6309
Variance1585.7066
MonotonicityNot monotonic
2023-12-10T20:03:20.070292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
12.3286466854397 1
 
1.0%
34.5081742221072 1
 
1.0%
17.031461704782 1
 
1.0%
12.6324355948497 1
 
1.0%
14.3052423193761 1
 
1.0%
47.26306664414 1
 
1.0%
56.9429989871991 1
 
1.0%
35.5896873326845 1
 
1.0%
9.16977420205994 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.938465887056761 1
 
1.0%
0.961562715651402 1
 
1.0%
1.06734503024764 1
 
1.0%
1.28733862200369 1
 
1.0%
1.41546054427248 1
 
1.0%
1.492410648284 1
 
1.0%
1.50523561706459 1
 
1.0%
1.52761347057849 1
 
1.0%
1.95199883270982 1
 
1.0%
ValueCountFrequency (%)
322.146088453605 1
1.0%
123.805925624077 1
1.0%
99.2567738932177 1
1.0%
85.4046520988596 1
1.0%
83.3730734557732 1
1.0%
80.5285795831306 1
1.0%
76.9956426750183 1
1.0%
76.3771954032657 1
1.0%
73.8524145818219 1
1.0%
69.3870975252116 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1947362
Minimum0
Maximum46.975712
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:20.322084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.14004778
Q10.77093301
median2.1952748
Q36.9281919
95-th percentile11.763509
Maximum46.975712
Range46.975712
Interquartile range (IQR)6.1572589

Descriptive statistics

Standard deviation5.8067339
Coefficient of variation (CV)1.3842906
Kurtosis29.274727
Mean4.1947362
Median Absolute Deviation (MAD)1.8692784
Skewness4.4024625
Sum419.47362
Variance33.718159
MonotonicityNot monotonic
2023-12-10T20:03:20.564516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1.79777739381671 1
 
1.0%
5.03202152687696 1
 
1.0%
2.48354727146762 1
 
1.0%
1.8420762408649 1
 
1.0%
2.08600683522039 1
 
1.0%
6.89195456267202 1
 
1.0%
8.30349339447091 1
 
1.0%
5.18972900855932 1
 
1.0%
1.33714698680888 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.136848171552466 1
 
1.0%
0.140216177577437 1
 
1.0%
0.155641475965728 1
 
1.0%
0.187721193726694 1
 
1.0%
0.206404079316983 1
 
1.0%
0.217625031703196 1
 
1.0%
0.219495183353935 1
 
1.0%
0.222758347608365 1
 
1.0%
0.284642707649883 1
 
1.0%
ValueCountFrequency (%)
46.9757119418752 1
1.0%
18.053522011494 1
1.0%
14.473736561787 1
1.0%
12.4538042810037 1
1.0%
12.1575571541706 1
1.0%
11.742769796599 1
1.0%
11.2275928863315 1
1.0%
11.1374101961472 1
1.0%
10.7692437622357 1
1.0%
10.1181061097893 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.741794
Minimum0
Maximum19.505878
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:20.805854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.058152495
Q10.32011703
median0.91155109
Q32.8768157
95-th percentile4.8846002
Maximum19.505878
Range19.505878
Interquartile range (IQR)2.5566987

Descriptive statistics

Standard deviation2.411149
Coefficient of variation (CV)1.3842906
Kurtosis29.274727
Mean1.741794
Median Absolute Deviation (MAD)0.77618655
Skewness4.4024625
Sum174.1794
Variance5.8136397
MonotonicityNot monotonic
2023-12-10T20:03:21.082399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.746496965937489 1
 
1.0%
2.08946269725359 1
 
1.0%
1.03125142706179 1
 
1.0%
0.764891320561006 1
 
1.0%
0.866179416190638 1
 
1.0%
2.86176875296622 1
 
1.0%
3.44788662210005 1
 
1.0%
2.15494808881899 1
 
1.0%
0.555227900906098 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0568239122426211 1
 
1.0%
0.0582224203602266 1
 
1.0%
0.0646275172788685 1
 
1.0%
0.0779480830280303 1
 
1.0%
0.0857058384965752 1
 
1.0%
0.0903651511234037 1
 
1.0%
0.0911417002879004 1
 
1.0%
0.0924966746154596 1
 
1.0%
0.118193119107901 1
 
1.0%
ValueCountFrequency (%)
19.5058779568448 1
1.0%
7.49642277871473 1
1.0%
6.00997680041699 1
1.0%
5.17123373679288 1
1.0%
5.04822207689038 1
1.0%
4.87598857067244 1
1.0%
4.66206998333315 1
1.0%
4.62462313099527 1
1.0%
4.4717481828397 1
1.0%
4.20137417344861 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1151.6963
Minimum0
Maximum5776.71
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:21.349252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64.2925
Q1275.5725
median740.255
Q31764.395
95-th percentile3271.71
Maximum5776.71
Range5776.71
Interquartile range (IQR)1488.8225

Descriptive statistics

Standard deviation1114.4962
Coefficient of variation (CV)0.96769974
Kurtosis1.8507469
Mean1151.6963
Median Absolute Deviation (MAD)624.835
Skewness1.2900835
Sum115169.63
Variance1242101.8
MonotonicityNot monotonic
2023-12-10T20:03:21.606894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
725.44 1
 
1.0%
1238.52 1
 
1.0%
784.49 1
 
1.0%
568.54 1
 
1.0%
304.79 1
 
1.0%
2655.11 1
 
1.0%
2288.19 1
 
1.0%
1460.7 1
 
1.0%
371.19 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
50.28 1
 
1.0%
65.03 1
 
1.0%
67.92 1
 
1.0%
71.2 1
 
1.0%
75.41 1
 
1.0%
79.7 1
 
1.0%
80.39 1
 
1.0%
97.17 1
 
1.0%
99.32 1
 
1.0%
ValueCountFrequency (%)
5776.71 1
1.0%
3653.89 1
1.0%
3399.79 1
1.0%
3371.67 1
1.0%
3365.38 1
1.0%
3266.78 1
1.0%
3145.73 1
1.0%
3048.68 1
1.0%
2949.91 1
1.0%
2767.93 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5595693
Minimum0
Maximum15.093349
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:21.908458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.088475324
Q10.56109753
median1.4865349
Q34.1217078
95-th percentile7.8695904
Maximum15.093349
Range15.093349
Interquartile range (IQR)3.5606103

Descriptive statistics

Standard deviation2.7039734
Coefficient of variation (CV)1.0564174
Kurtosis3.7552856
Mean2.5595693
Median Absolute Deviation (MAD)1.27554
Skewness1.6623553
Sum255.95693
Variance7.3114723
MonotonicityNot monotonic
2023-12-10T20:03:22.173241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1.40009478069315 1
 
1.0%
2.98164815624654 1
 
1.0%
1.89800573801896 1
 
1.0%
1.37553338129651 1
 
1.0%
0.737413056751263 1
 
1.0%
6.39198707823189 1
 
1.0%
5.50865346917432 1
 
1.0%
3.51653058636867 1
 
1.0%
0.893613328098985 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0839388840637051 1
 
1.0%
0.0887140838068863 1
 
1.0%
0.127575971380334 1
 
1.0%
0.130484100752788 1
 
1.0%
0.132607599401602 1
 
1.0%
0.136282948225886 1
 
1.0%
0.145291123239757 1
 
1.0%
0.167861388787656 1
 
1.0%
0.191834027224228 1
 
1.0%
ValueCountFrequency (%)
15.0933486198731 1
1.0%
9.54685895408772 1
1.0%
8.23094259493277 1
1.0%
8.10191121020977 1
1.0%
7.96557038010125 1
1.0%
7.86453877520193 1
1.0%
7.7185708468998 1
1.0%
7.25282532028786 1
1.0%
6.53981754034863 1
1.0%
6.48698830260297 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37323933
Minimum0
Maximum2.2009294
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:22.465637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012901573
Q10.081819885
median0.21676822
Q30.60103216
95-th percentile1.1475527
Maximum2.2009294
Range2.2009294
Interquartile range (IQR)0.51921227

Descriptive statistics

Standard deviation0.39429651
Coefficient of variation (CV)1.0564174
Kurtosis3.7552856
Mean0.37323933
Median Absolute Deviation (MAD)0.1860007
Skewness1.6623553
Sum37.323933
Variance0.15546973
MonotonicityNot monotonic
2023-12-10T20:03:22.898096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.204163426055804 1
 
1.0%
0.434787352446878 1
 
1.0%
0.276769372681815 1
 
1.0%
0.200581854637432 1
 
1.0%
0.107530417340808 1
 
1.0%
0.932086883825236 1
 
1.0%
0.803278164256873 1
 
1.0%
0.5127845216219 1
 
1.0%
0.13030771998414 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0122400643056914 1
 
1.0%
0.0129363894067577 1
 
1.0%
0.0186032744058308 1
 
1.0%
0.0190273411649397 1
 
1.0%
0.0193369921723895 1
 
1.0%
0.0198729357515409 1
 
1.0%
0.0211865181594631 1
 
1.0%
0.0244777401572817 1
 
1.0%
0.0279734577774736 1
 
1.0%
ValueCountFrequency (%)
2.20092939948134 1
1.0%
1.39213391765744 1
1.0%
1.20024548553647 1
1.0%
1.18142998108846 1
1.0%
1.16154860493443 1
1.0%
1.14681606048058 1
1.0%
1.125530849831 1
1.0%
1.05761530318767 1
1.0%
0.953643691290959 1
1.0%
0.94594007127694 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15498138
Minimum0
Maximum0.91389909
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:23.311360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0053571623
Q10.033974337
median0.090009375
Q30.24956854
95-th percentile0.47650204
Maximum0.91389909
Range0.91389909
Interquartile range (IQR)0.2155942

Descriptive statistics

Standard deviation0.16372502
Coefficient of variation (CV)1.0564174
Kurtosis3.7552856
Mean0.15498138
Median Absolute Deviation (MAD)0.077233677
Skewness1.6623553
Sum15.498138
Variance0.026805883
MonotonicityNot monotonic
2023-12-10T20:03:23.624035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.084775444740963 1
 
1.0%
0.180538169267179 1
 
1.0%
0.114923848571022 1
 
1.0%
0.0832882571690762 1
 
1.0%
0.0446502056188883 1
 
1.0%
0.38703347431045 1
 
1.0%
0.333547809914629 1
 
1.0%
0.212925188005497 1
 
1.0%
0.0541080992234959 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0050824817902955 1
 
1.0%
0.0053716191312366 1
 
1.0%
0.0077246982569807 1
 
1.0%
0.0079007848793392 1
 
1.0%
0.0080293622762715 1
 
1.0%
0.0082519038752071 1
 
1.0%
0.0087973469792285 1
 
1.0%
0.010163971815011 1
 
1.0%
0.011615510034494 1
 
1.0%
ValueCountFrequency (%)
0.913899087065143 1
1.0%
0.578060303396995 1
1.0%
0.498381844390069 1
1.0%
0.490569021161046 1
1.0%
0.482313612550009 1
1.0%
0.476196170105153 1
1.0%
0.467357842721629 1
1.0%
0.439157048961728 1
1.0%
0.395984577725038 1
1.0%
0.392785778481606 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835.5448
Minimum0
Maximum7351.64
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:24.043602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.7925
Q170.7225
median527.105
Q31306.445
95-th percentile2346.4065
Maximum7351.64
Range7351.64
Interquartile range (IQR)1235.7225

Descriptive statistics

Standard deviation1005.7494
Coefficient of variation (CV)1.2037049
Kurtosis16.66684
Mean835.5448
Median Absolute Deviation (MAD)482.255
Skewness3.0738972
Sum83554.48
Variance1011531.8
MonotonicityNot monotonic
2023-12-10T20:03:24.434470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1219.08 1
 
1.0%
724.96 1
 
1.0%
309.82 1
 
1.0%
54.32 1
 
1.0%
358.38 1
 
1.0%
975.79 1
 
1.0%
1470.15 1
 
1.0%
821.32 1
 
1.0%
70.37 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
6.46 1
 
1.0%
6.81 1
 
1.0%
11.15 1
 
1.0%
11.99 1
 
1.0%
16.18 1
 
1.0%
16.26 1
 
1.0%
22.82 1
 
1.0%
25.31 1
 
1.0%
27.7 1
 
1.0%
ValueCountFrequency (%)
7351.64 1
1.0%
2931.2 1
1.0%
2571.87 1
1.0%
2516.93 1
1.0%
2385.86 1
1.0%
2344.33 1
1.0%
2280.51 1
1.0%
1995.18 1
1.0%
1988.66 1
1.0%
1971.49 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8718889
Minimum0
Maximum19.208315
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:25.278136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.014464286
Q10.17089613
median1.0338913
Q33.0961377
95-th percentile5.2339617
Maximum19.208315
Range19.208315
Interquartile range (IQR)2.9252416

Descriptive statistics

Standard deviation2.5091011
Coefficient of variation (CV)1.3404113
Kurtosis22.206271
Mean1.8718889
Median Absolute Deviation (MAD)0.95204184
Skewness3.7013435
Sum187.18889
Variance6.2955885
MonotonicityNot monotonic
2023-12-10T20:03:25.662073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
2.35281697348837 1
 
1.0%
1.74528925439435 1
 
1.0%
0.749582706921738 1
 
1.0%
0.131422544186911 1
 
1.0%
0.867069429044646 1
 
1.0%
2.34914450665618 1
 
1.0%
3.53928078424721 1
 
1.0%
1.97726904990506 1
 
1.0%
0.169410732773851 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0090095843130827 1
 
1.0%
0.0147513751968976 1
 
1.0%
0.0169271808062558 1
 
1.0%
0.0255864811135547 1
 
1.0%
0.0301347044707574 1
 
1.0%
0.0326260414922395 1
 
1.0%
0.0384464799835615 1
 
1.0%
0.0457888232996866 1
 
1.0%
0.0515903160593313 1
 
1.0%
ValueCountFrequency (%)
19.2083150180299 1
1.0%
7.65861943469068 1
1.0%
6.23375878972813 1
1.0%
6.1340438160868 1
1.0%
5.49016441946986 1
1.0%
5.22047729670314 1
1.0%
5.2108989755679 1
1.0%
5.02015464820245 1
1.0%
4.99754770354407 1
1.0%
4.82828180198749 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27296099
Minimum0
Maximum2.8009785
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:25.955893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0021091987
Q10.024920269
median0.15076321
Q30.45148235
95-th percentile0.76322229
Maximum2.8009785
Range2.8009785
Interquartile range (IQR)0.42656208

Descriptive statistics

Standard deviation0.36588
Coefficient of variation (CV)1.3404113
Kurtosis22.206271
Mean0.27296099
Median Absolute Deviation (MAD)0.13882783
Skewness3.7013435
Sum27.296099
Variance0.13386818
MonotonicityNot monotonic
2023-12-10T20:03:26.327583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.343090468455158 1
 
1.0%
0.254500079958248 1
 
1.0%
0.109305009680531 1
 
1.0%
0.0191641860623796 1
 
1.0%
0.12643705819285 1
 
1.0%
0.342554945131398 1
 
1.0%
0.516101981558455 1
 
1.0%
0.28832763969227 1
 
1.0%
0.0247036672735901 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0013137879135489 1
 
1.0%
0.0021510624428884 1
 
1.0%
0.0024683409112919 1
 
1.0%
0.0037310500095352 1
 
1.0%
0.0043942771537817 1
 
1.0%
0.0047575667744413 1
 
1.0%
0.0056063097880729 1
 
1.0%
0.0066769787080412 1
 
1.0%
0.0075229590333593 1
 
1.0%
ValueCountFrequency (%)
2.80097851725342 1
1.0%
1.11678866617153 1
1.0%
0.909013853395195 1
1.0%
0.894473301620836 1
1.0%
0.800582069832244 1
1.0%
0.761255984408278 1
1.0%
0.759859262639296 1
1.0%
0.732044706144514 1
1.0%
0.728748135556754 1
1.0%
0.704065587737307 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11334248
Minimum0
Maximum1.1630594
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:26.651492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00087580946
Q10.010347724
median0.062601899
Q30.18747049
95-th percentile0.31691528
Maximum1.1630594
Range1.1630594
Interquartile range (IQR)0.17712276

Descriptive statistics

Standard deviation0.15192555
Coefficient of variation (CV)1.3404113
Kurtosis22.206271
Mean0.11334248
Median Absolute Deviation (MAD)0.057645933
Skewness3.7013435
Sum11.334248
Variance0.023081372
MonotonicityNot monotonic
2023-12-10T20:03:27.032753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.142462573300084 1
 
1.0%
0.10567689758093 1
 
1.0%
0.0453870753792577 1
 
1.0%
0.0079576074320614 1
 
1.0%
0.0525008717139577 1
 
1.0%
0.142240206205165 1
 
1.0%
0.214302707706087 1
 
1.0%
0.119723225448535 1
 
1.0%
0.0102577842677804 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0005455284367924 1
 
1.0%
0.0008931926681697 1
 
1.0%
0.0010249372405706 1
 
1.0%
0.0015492560544251 1
 
1.0%
0.0018246500228943 1
 
1.0%
0.0019754999559904 1
 
1.0%
0.0023279262834744 1
 
1.0%
0.0027725036282719 1
 
1.0%
0.0031237827956843 1
 
1.0%
ValueCountFrequency (%)
1.16305943771309 1
1.0%
0.46372779731116 1
1.0%
0.377452784693233 1
1.0%
0.371415063994358 1
1.0%
0.332428301840498 1
1.0%
0.316098803231739 1
1.0%
0.315518837899885 1
1.0%
0.30396930896284 1
1.0%
0.302600463214626 1
1.0%
0.292351448446615 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1861218
Minimum0
Maximum10866466
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:27.373695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76110.023
Q1888887.27
median1636799
Q32683161.1
95-th percentile3757716
Maximum10866466
Range10866466
Interquartile range (IQR)1794273.8

Descriptive statistics

Standard deviation1417759.2
Coefficient of variation (CV)0.76173731
Kurtosis15.179555
Mean1861218
Median Absolute Deviation (MAD)921592.57
Skewness2.6561703
Sum1.861218 × 108
Variance2.010041 × 1012
MonotonicityNot monotonic
2023-12-10T20:03:27.674438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
2201212.67 1
 
1.0%
3277862.19 1
 
1.0%
2428368.74 1
 
1.0%
2556867.79 1
 
1.0%
757508.25 1
 
1.0%
3125815.18 1
 
1.0%
2654742.02 1
 
1.0%
3056024.93 1
 
1.0%
1595802.29 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
46784.35 1
 
1.0%
77653.48 1
 
1.0%
208551.73 1
 
1.0%
382341.22 1
 
1.0%
405294.98 1
 
1.0%
419814.79 1
 
1.0%
435303.03 1
 
1.0%
442528.18 1
 
1.0%
478711.09 1
 
1.0%
ValueCountFrequency (%)
10866466.25 1
1.0%
4378270.93 1
1.0%
4248333.35 1
1.0%
4018885.41 1
1.0%
3828785.4 1
1.0%
3753975.5 1
1.0%
3426701.23 1
1.0%
3391658.93 1
1.0%
3347908.74 1
1.0%
3342065.39 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4173.9957
Minimum0
Maximum28391.829
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:27.968012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile198.68318
Q11777.9475
median3277.3788
Q35910.8497
95-th percentile8879.0111
Maximum28391.829
Range28391.829
Interquartile range (IQR)4132.9022

Descriptive statistics

Standard deviation3698.5045
Coefficient of variation (CV)0.88608249
Kurtosis17.371232
Mean4173.9957
Median Absolute Deviation (MAD)2096.8083
Skewness3.0078371
Sum417399.57
Variance13678935
MonotonicityNot monotonic
2023-12-10T20:03:28.257679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
4248.32704353582 1
 
1.0%
7891.21835355405 1
 
1.0%
5875.22824069889 1
 
1.0%
6186.12058378801 1
 
1.0%
1832.72572639129 1
 
1.0%
7525.17607161327 1
 
1.0%
6391.10119274879 1
 
1.0%
7357.16104542355 1
 
1.0%
3841.77966905057 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
118.706421969919 1
 
1.0%
202.892484681824 1
 
1.0%
484.53587810303 1
 
1.0%
492.578193819684 1
 
1.0%
545.684886402812 1
 
1.0%
688.832504972722 1
 
1.0%
767.175922995908 1
 
1.0%
781.890891786347 1
 
1.0%
789.720374818002 1
 
1.0%
ValueCountFrequency (%)
28391.8291514261 1
1.0%
11439.5165238944 1
1.0%
10227.5581340214 1
1.0%
9808.36166814023 1
1.0%
8966.11632724852 1
1.0%
8874.42658919268 1
1.0%
8494.68396177823 1
1.0%
8413.1815716188 1
1.0%
8229.37826762565 1
1.0%
8045.78295719802 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean608.65684
Minimum0
Maximum4140.1291
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:28.563183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.972209
Q1259.26235
median477.91114
Q3861.92688
95-th percentile1294.7476
Maximum4140.1291
Range4140.1291
Interquartile range (IQR)602.66453

Descriptive statistics

Standard deviation539.32016
Coefficient of variation (CV)0.88608249
Kurtosis17.371232
Mean608.65684
Median Absolute Deviation (MAD)305.75899
Skewness3.0078371
Sum60865.684
Variance290866.24
MonotonicityNot monotonic
2023-12-10T20:03:28.930100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
619.495919972216 1
 
1.0%
1150.70650718263 1
 
1.0%
856.732517699307 1
 
1.0%
902.067195590305 1
 
1.0%
267.250166546163 1
 
1.0%
1097.32980198177 1
 
1.0%
931.957702988468 1
 
1.0%
1072.82965824238 1
 
1.0%
560.212715739564 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
17.3099065423316 1
 
1.0%
29.5860147218809 1
 
1.0%
70.655577239919 1
 
1.0%
71.8283169378141 1
 
1.0%
79.5723957343195 1
 
1.0%
100.44634558541 1
 
1.0%
111.870472618165 1
 
1.0%
114.016226237125 1
 
1.0%
115.157930428893 1
 
1.0%
ValueCountFrequency (%)
4140.12907660187 1
1.0%
1668.12341431914 1
1.0%
1491.39425246123 1
1.0%
1430.2665432197 1
1.0%
1307.44936202082 1
1.0%
1294.07905930005 1
1.0%
1238.7045540155 1
1.0%
1226.81978204424 1
1.0%
1200.01737353513 1
1.0%
1173.24529488619 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.73456
Minimum0
Maximum1719.1193
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:29.269558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.030225
Q1107.65435
median198.4446
Q3357.90071
95-th percentile537.62225
Maximum1719.1193
Range1719.1193
Interquartile range (IQR)250.24636

Descriptive statistics

Standard deviation223.94367
Coefficient of variation (CV)0.88608249
Kurtosis17.371232
Mean252.73456
Median Absolute Deviation (MAD)126.9613
Skewness3.0078371
Sum25273.456
Variance50150.767
MonotonicityNot monotonic
2023-12-10T20:03:29.652132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
257.235309699896 1
 
1.0%
477.811612967659 1
 
1.0%
355.74383529473 1
 
1.0%
374.56830133473 1
 
1.0%
110.971157585565 1
 
1.0%
455.647829719954 1
 
1.0%
386.979834130617 1
 
1.0%
445.474555192535 1
 
1.0%
232.618951610771 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
7.18764890411647 1
 
1.0%
12.2850973096159 1
 
1.0%
29.3385455938929 1
 
1.0%
29.8255061204432 1
 
1.0%
33.0411051959767 1
 
1.0%
41.7086634179036 1
 
1.0%
46.4523409153332 1
 
1.0%
47.3433291832427 1
 
1.0%
47.8174027354431 1
 
1.0%
ValueCountFrequency (%)
1719.11928857415 1
1.0%
692.66032150668 1
1.0%
619.276495693005 1
1.0%
593.894237778063 1
1.0%
542.896459384982 1
1.0%
537.344665014305 1
1.0%
514.351328727298 1
1.0%
509.416376130876 1
1.0%
498.287124700367 1
1.0%
487.17046723654 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean629.0129
Minimum0
Maximum4825.8
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:29.942142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.379
Q1180.0225
median522.855
Q3895.175
95-th percentile1535.9795
Maximum4825.8
Range4825.8
Interquartile range (IQR)715.1525

Descriptive statistics

Standard deviation629.5605
Coefficient of variation (CV)1.0008706
Kurtosis19.056002
Mean629.0129
Median Absolute Deviation (MAD)360.205
Skewness3.2869019
Sum62901.29
Variance396346.43
MonotonicityNot monotonic
2023-12-10T20:03:30.282789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1305.24 1
 
1.0%
803.0 1
 
1.0%
463.12 1
 
1.0%
269.39 1
 
1.0%
377.77 1
 
1.0%
529.39 1
 
1.0%
729.8 1
 
1.0%
693.29 1
 
1.0%
177.36 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
16.62 1
 
1.0%
25.84 1
 
1.0%
50.24 1
 
1.0%
57.7 1
 
1.0%
59.69 1
 
1.0%
60.69 1
 
1.0%
68.03 1
 
1.0%
68.07 1
 
1.0%
68.51 1
 
1.0%
ValueCountFrequency (%)
4825.8 1
1.0%
2039.36 1
1.0%
1910.46 1
1.0%
1691.15 1
1.0%
1666.88 1
1.0%
1529.09 1
1.0%
1338.86 1
1.0%
1305.24 1
1.0%
1299.64 1
1.0%
1268.84 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4028182
Minimum0
Maximum12.608817
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:30.589848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.064457129
Q10.41340862
median0.97592841
Q31.9366564
95-th percentile3.4305842
Maximum12.608817
Range12.608817
Interquartile range (IQR)1.5232478

Descriptive statistics

Standard deviation1.6032924
Coefficient of variation (CV)1.1429082
Kurtosis23.506749
Mean1.4028182
Median Absolute Deviation (MAD)0.69610384
Skewness3.8298517
Sum140.28182
Variance2.5705464
MonotonicityNot monotonic
2023-12-10T20:03:30.938096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
2.51910524861039 1
 
1.0%
1.9331649625892 1
 
1.0%
1.12047880456263 1
 
1.0%
0.651765816982915 1
 
1.0%
0.913981857833015 1
 
1.0%
1.27446849258418 1
 
1.0%
1.75694120759352 1
 
1.0%
1.66904599864691 1
 
1.0%
0.426981491612479 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0434246230228436 1
 
1.0%
0.0655641030323752 1
 
1.0%
0.0664671829499671 1
 
1.0%
0.0802924628430236 1
 
1.0%
0.11007447613128 1
 
1.0%
0.126703581282177 1
 
1.0%
0.136583926468434 1
 
1.0%
0.139126390652732 1
 
1.0%
0.139275228697357 1
 
1.0%
ValueCountFrequency (%)
12.6088174358387 1
1.0%
5.33607623362529 1
1.0%
4.59929555968638 1
1.0%
4.29097263325083 1
1.0%
4.00093206107509 1
1.0%
3.40056592081279 1
1.0%
3.27947096128135 1
1.0%
3.22320951657805 1
1.0%
3.0391905035673 1
1.0%
2.99591731069484 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20456056
Minimum0
Maximum1.8386322
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:31.256226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0093992125
Q10.06028372
median0.142311
Q30.28240546
95-th percentile0.50025173
Maximum1.8386322
Range1.8386322
Interquartile range (IQR)0.22212174

Descriptive statistics

Standard deviation0.23379393
Coefficient of variation (CV)1.1429082
Kurtosis23.506749
Mean0.20456056
Median Absolute Deviation (MAD)0.10150666
Skewness3.8298517
Sum20.456056
Variance0.054659601
MonotonicityNot monotonic
2023-12-10T20:03:31.610892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.367338815374225 1
 
1.0%
0.281896331116852 1
 
1.0%
0.163389503851422 1
 
1.0%
0.0950412386477254 1
 
1.0%
0.133277882341406 1
 
1.0%
0.185844456699813 1
 
1.0%
0.256199181132103 1
 
1.0%
0.243382200996267 1
 
1.0%
0.0622629306187856 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0063322283132405 1
 
1.0%
0.0095606326699814 1
 
1.0%
0.0096923208188984 1
 
1.0%
0.0117083389828612 1
 
1.0%
0.0160511863040687 1
 
1.0%
0.0184760614815682 1
 
1.0%
0.019916824743925 1
 
1.0%
0.0202875697860809 1
 
1.0%
0.0203092735203832 1
 
1.0%
ValueCountFrequency (%)
1.83863221384094 1
1.0%
0.778112753918376 1
1.0%
0.67067455136426 1
1.0%
0.625714548755386 1
1.0%
0.583420500004438 1
1.0%
0.495874421143143 1
1.0%
0.478216215315256 1
1.0%
0.470012106947831 1
1.0%
0.44317824350247 1
1.0%
0.436868096907364 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.084940346
Minimum0
Maximum0.76346125
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:32.035296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0039028656
Q10.025031805
median0.05909226
Q30.11726414
95-th percentile0.20772115
Maximum0.76346125
Range0.76346125
Interquartile range (IQR)0.092232334

Descriptive statistics

Standard deviation0.097079015
Coefficient of variation (CV)1.1429082
Kurtosis23.506749
Mean0.084940346
Median Absolute Deviation (MAD)0.042148941
Skewness3.8298517
Sum8.4940346
Variance0.0094243352
MonotonicityNot monotonic
2023-12-10T20:03:32.384599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.152531293413231 1
 
1.0%
0.117052732230036 1
 
1.0%
0.0678447561475754 1
 
1.0%
0.0394642832496877 1
 
1.0%
0.0553414094184436 1
 
1.0%
0.0771687993963374 1
 
1.0%
0.106382420898481 1
 
1.0%
0.101060384467948 1
 
1.0%
0.025853639586948 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0026293517983458 1
 
1.0%
0.0039698926603099 1
 
1.0%
0.0040245739595377 1
 
1.0%
0.0048616917516789 1
 
1.0%
0.0066649863975908 1
 
1.0%
0.0076718752198701 1
 
1.0%
0.0082701280445428 1
 
1.0%
0.008424073716603 1
 
1.0%
0.0084330858289268 1
 
1.0%
ValueCountFrequency (%)
0.763461245996246 1
1.0%
0.323098294569252 1
1.0%
0.278486379596756 1
1.0%
0.259817491195166 1
1.0%
0.24225559550197 1
1.0%
0.20590355187607 1
1.0%
0.198571277524555 1
1.0%
0.195164658871116 1
1.0%
0.184022346304923 1
1.0%
0.181402163570359 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.7582
Minimum0
Maximum2123.35
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:32.766717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.146
Q179.2025
median230.03
Q3393.84
95-th percentile675.83
Maximum2123.35
Range2123.35
Interquartile range (IQR)314.6375

Descriptive statistics

Standard deviation277.01086
Coefficient of variation (CV)1.0009129
Kurtosis19.055006
Mean276.7582
Median Absolute Deviation (MAD)158.525
Skewness3.2867768
Sum27675.82
Variance76735.017
MonotonicityNot monotonic
2023-12-10T20:03:33.130035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
574.25 1
 
1.0%
353.27 1
 
1.0%
203.79 1
 
1.0%
118.5 1
 
1.0%
166.18 1
 
1.0%
232.92 1
 
1.0%
321.11 1
 
1.0%
305.04 1
 
1.0%
78.01 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
7.27 1
 
1.0%
11.35 1
 
1.0%
22.09 1
 
1.0%
25.41 1
 
1.0%
26.27 1
 
1.0%
26.62 1
 
1.0%
29.83 1
 
1.0%
29.94 1
 
1.0%
30.09 1
 
1.0%
ValueCountFrequency (%)
2123.35 1
1.0%
897.33 1
1.0%
840.62 1
1.0%
744.14 1
1.0%
733.4 1
1.0%
672.8 1
1.0%
589.11 1
1.0%
574.25 1
1.0%
571.8 1
1.0%
558.27 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61722537
Minimum0
Maximum5.5478744
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:33.576146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.028308301
Q10.18184702
median0.42938314
Q30.85213552
95-th percentile1.5093537
Maximum5.5478744
Range5.5478744
Interquartile range (IQR)0.6702885

Descriptive statistics

Standard deviation0.70545583
Coefficient of variation (CV)1.1429469
Kurtosis23.505964
Mean0.61722537
Median Absolute Deviation (MAD)0.30630896
Skewness3.8297647
Sum61.722537
Variance0.49766793
MonotonicityNot monotonic
2023-12-10T20:03:34.365876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
1.10829900172728 1
 
1.0%
0.850472212121901 1
 
1.0%
0.493052287920667 1
 
1.0%
0.286700506004215 1
 
1.0%
0.402058144200679 1
 
1.0%
0.560738210568215 1
 
1.0%
0.773049316484456 1
 
1.0%
0.734361942949202 1
 
1.0%
0.187803485344438 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0189950065809911 1
 
1.0%
0.0287984740486633 1
 
1.0%
0.0292249218026428 1
 
1.0%
0.0352180814117859 1
 
1.0%
0.0483975955322888 1
 
1.0%
0.0557622405348873 1
 
1.0%
0.0598545398347788 1
 
1.0%
0.0611982475244994 1
 
1.0%
0.0613496393860785 1
 
1.0%
ValueCountFrequency (%)
5.5478744461826 1
1.0%
2.34790389471157 1
1.0%
2.02373241700091 1
1.0%
1.88811422718699 1
1.0%
1.76041115349085 1
1.0%
1.49614015690557 1
1.0%
1.44281943767007 1
1.0%
1.41824011346317 1
1.0%
1.33721337384375 1
1.0%
1.31826746039203 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.090004511
Minimum0
Maximum0.80899741
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:34.693290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0041279489
Q10.026517141
median0.062613142
Q30.12425938
95-th percentile0.22009569
Maximum0.80899741
Range0.80899741
Interquartile range (IQR)0.097742238

Descriptive statistics

Standard deviation0.10287038
Coefficient of variation (CV)1.1429469
Kurtosis23.505964
Mean0.090004511
Median Absolute Deviation (MAD)0.044666324
Skewness3.8297647
Sum9.0004511
Variance0.010582315
MonotonicityNot monotonic
2023-12-10T20:03:34.978871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.161613431038467 1
 
1.0%
0.124016832993338 1
 
1.0%
0.0718974498831433 1
 
1.0%
0.0418069964726065 1
 
1.0%
0.0586285795258882 1
 
1.0%
0.081767488721964 1
 
1.0%
0.112726937590202 1
 
1.0%
0.10708550042825 1
 
1.0%
0.0273857195397579 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0027698736364175 1
 
1.0%
0.004199426501714 1
 
1.0%
0.0042616116020992 1
 
1.0%
0.0051355410071472 1
 
1.0%
0.0070573928658196 1
 
1.0%
0.0081313138432772 1
 
1.0%
0.0087280576187936 1
 
1.0%
0.008923998614599 1
 
1.0%
0.0089460747494172 1
 
1.0%
ValueCountFrequency (%)
0.808997412089011 1
1.0%
0.342374037675338 1
1.0%
0.295102981149997 1
1.0%
0.275326981232199 1
1.0%
0.256705172620961 1
1.0%
0.218168872926079 1
1.0%
0.210393584517753 1
1.0%
0.206809399282999 1
1.0%
0.194993987218794 1
1.0%
0.19223127239877 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.037372867
Minimum0
Maximum0.33592263
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:35.270643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0017140617
Q10.011010799
median0.025999059
Q30.051596627
95-th percentile0.09139105
Maximum0.33592263
Range0.33592263
Interquartile range (IQR)0.040585828

Descriptive statistics

Standard deviation0.042715202
Coefficient of variation (CV)1.1429469
Kurtosis23.505964
Mean0.037372867
Median Absolute Deviation (MAD)0.018546943
Skewness3.8297647
Sum3.7372867
Variance0.0018245885
MonotonicityNot monotonic
2023-12-10T20:03:35.637757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
4.0%
0.0671072716454813 1
 
1.0%
0.0514959137171917 1
 
1.0%
0.0298542124186267 1
 
1.0%
0.0173596553884257 1
 
1.0%
0.0243445361388066 1
 
1.0%
0.0339525808107348 1
 
1.0%
0.0468079736567708 1
 
1.0%
0.0444654613193652 1
 
1.0%
0.0113714615706913 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
0.0 4
4.0%
0.0011501436566771 1
 
1.0%
0.0017437415516454 1
 
1.0%
0.0017695628735308 1
 
1.0%
0.0021324474284015 1
 
1.0%
0.0029304642387223 1
 
1.0%
0.003376391945949 1
 
1.0%
0.0036241798085605 1
 
1.0%
0.0037055410267928 1
 
1.0%
0.0037147077721964 1
 
1.0%
ValueCountFrequency (%)
0.335922631830189 1
1.0%
0.142165087412633 1
1.0%
0.122536572561909 1
1.0%
0.114324919668847 1
1.0%
0.106592525393355 1
1.0%
0.0905909720866831 1
1.0%
0.0873624137423259 1
1.0%
0.0858741408269448 1
1.0%
0.0809679887707633 1
1.0%
0.0798208176927469 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-양산JC8.320210201091.1435.306944129.074722-3.15276남서4.1054955904.5211.3956881.6617320.6900066387.9212.3286471.7977770.746497725.441.4000950.2041630.0847751219.082.3528170.343090.1424632201212.674248.327044619.49592257.235311305.242.5191050.3673390.152531574.251.1082990.1616130.067107
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320210201096.2935.306944129.074722-3.15276남서4.1054952892.895.583260.8141570.3380653071.725.9284010.8644860.358963305.080.5888030.085860.035652160.170.3091270.0450770.018718944782.991823.425415265.893985110.408026215.020.4149870.0605140.02512794.560.18250.0266120.01105
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320210201086.7135.306944129.074722-3.15276남서4.1054955289.1410.2080081.4885430.61809311922.5323.010413.3554041.3932761068.812.0627970.3007990.124902883.991.7060950.2487850.1033041829966.993531.825143515.014791213.85127716.371.382590.2016110.083716315.180.6082950.0887020.036832
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202102010107.435.306944129.0747223.071416남서4.1054953087.685.9592040.8689780.3608292292.664.424820.6452320.267922230.190.4442650.0647830.026937.920.0731850.0106720.0044311126986.152175.076404317.172135131.700419143.440.2768380.0403690.01676363.080.1217440.0177530.007372
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320210201091.7635.306944129.0747223.071416남서4.1054955010.069.6693851.4100010.5854795668.0710.9393411.5951870.662375537.011.0364260.1511330.062755299.670.5783610.0843370.035021651416.983187.224711464.764761192.985786355.410.6859390.1000240.041533156.350.3017550.0440020.018271
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320210201096.0335.306944129.0747223.071416남서4.1054954734.779.1380771.3325250.5533096774.4913.0747241.9065710.791672822.141.5867250.2313780.096076881.431.7011550.2480640.1030051572721.153035.342239442.617085183.7893351000.651.9312480.2816170.116937440.270.8497180.1239070.05145
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202102010100.8835.681944129.1811110.22545서4.2543481311.632.4428670.3562220.1479151090.452.0309260.2961520.122972103.00.1918340.0279730.01161627.70.051590.0075230.003124478711.09891.583265130.01169453.98517974.780.1392750.0203090.00843332.940.061350.0089460.003715
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420210201088.1635.681944129.1811110.22545서4.2543484319.648.0451841.1731580.4871348809.2416.4069122.3924750.993435818.411.5242610.2222690.092294575.061.071030.1561790.0648511487967.832771.289915404.112672167.801022529.770.9866790.1438790.059743233.130.4341970.0633150.026291
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420210201078.7135.681944129.1811110.22545서4.2543488172.6615.2213042.2195880.92164729425.3254.8036667.9915333.318352725.635.0763940.7402460.3073751820.83.3911790.4945060.2053352507723.264670.550021681.064959282.800822891.211.6598490.2420410.100503392.080.7302360.1064840.044216
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202102010110.0935.681944129.1811110.19158서4.2543481005.41.8725240.2730540.113381820.211.5276130.2227580.09249771.20.1326080.0193370.00802916.180.0301350.0043940.001825419814.79781.890892114.01622647.34332968.030.1267040.0184760.00767229.940.0557620.0081310.003376
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-0100-0698S-8경남 진주시 가좌동E3진주JC-진주IC69.820210201087.3735.149019128.104573-0.184388서3.7130436019.0912.8446481.8730210.77774123596.2650.3540677.3426883.0489281849.333.9464430.5754750.2389561474.533.1466250.4588440.1905272507203.15350.334009780.191839323.96161126.622.404190.3505820.145573495.761.0579440.1542710.064058
9192도로공사A-0100-0698S-8경남 진주시 가좌동E4진주JC-진주IC69.820210201081.9935.149019128.104573-0.184388서3.7130436709.7614.3185282.0879440.86698424533.4152.3539317.634313.170021928.844.1161160.6002170.249231508.753.219650.4694930.1949492559915.345462.821143796.594842330.772672907.071.9356740.2822620.117205399.120.8517160.1241980.051571
9293도로공사A-0100-0698S-8경남 진주시 가좌동S1진주IC-진주JC69.8202102010115.2335.149019128.1045730.123751서3.7130431404.972.9981850.4371990.1815391143.522.4402550.3558410.14775799.320.2119470.0309060.01283328.00.0597520.0087130.003618589593.991258.184778183.46994776.182824101.980.2176240.0317340.01317744.830.0956670.013950.005793
9394도로공사A-0100-0698S-8경남 진주시 가좌동S2진주IC-진주JC69.820210201091.3135.149019128.1045730.123751서3.7130434242.499.053411.3201790.5481827873.0916.8010572.4499491.0173693.171.4792140.2157010.089566471.81.0068140.1468150.0609621571380.583353.302713488.982446203.041775484.841.0346410.1508730.062647213.320.4552220.0663810.027564
9495도로공사A-0100-0698S-8경남 진주시 가좌동S3진주IC-진주JC69.820210201082.235.149019128.1045730.123751서3.7130438389.8617.9038362.6107581.08407428750.8261.3538218.9466853.7149612517.855.3730540.7835050.3253371820.763.8854750.5665840.2352652819941.976017.714091877.509968364.3713241098.512.3442040.3418350.141941483.351.0314620.1504090.062455
9596도로공사A-0100-0698S-8경남 진주시 가좌동S4진주IC-진주JC69.820210201080.8635.149019128.1045730.123751서3.7130435820.6912.4212661.8112830.75210514033.1229.9464694.3668281.8132521359.492.9011310.4230460.175663864.771.8454060.2690990.1117391770618.253778.472929550.981254228.785742565.31.2063420.175910.073044248.740.5308070.0774030.03214
9697도로공사A-0100-1124S-4경남 함안군 산인면 모곡리E1함안IC-산인JC112.420210201089.1935.274167128.451389-5.440052서5.6173915581.237.8725721.1479880.4766839969.7614.0627882.0506520.851499874.021.2328440.1797750.074648590.780.8333210.1215160.0504571991095.892808.528994409.542918170.05584543.280.7663210.1117460.046401239.020.3371480.0491630.020414
9798도로공사A-0100-1124S-4경남 함안군 산인면 모곡리E2함안IC-산인JC112.420210201073.4835.274167128.451389-5.440052서5.61739111067.6715.6114392.2764780.94526942415.859.8293668.7243873.6226563399.794.7955540.6992930.290372571.873.6277370.5290010.2196594018885.415668.815979826.633245343.2456161107.751.562530.227850.094611487.470.6875980.1002660.041634
9899도로공사A-0100-1124S-4경남 함안군 산인면 모곡리S1산인JC-함안IC112.420210201089.7835.274167128.4513890.852122서5.6173916061.648.5502121.2468020.5177148022.711.3163741.6501670.685204788.831.112680.1622520.067373465.270.6562840.09570.0397381991675.762809.346926409.66219170.105366494.770.6978950.1017680.042257217.730.3071180.0447840.018596
99100도로공사A-0100-1124S-4경남 함안군 산인면 모곡리S2산인JC-함안IC112.420210201083.1835.274167128.4513890.852122서5.6173919976.5514.0723662.0520490.85207940478.8257.097178.3259753.4572223371.674.755890.6935090.2879682516.933.5502410.51770.2149663828785.45400.67149787.532108327.0095241666.882.3512080.3428560.142365733.41.0344930.1508510.062638