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 13 (13.0%) zerosZeros
CO(g/km) has 13 (13.0%) zerosZeros
CO_100M(g/km) has 13 (13.0%) zerosZeros
CO_300M(g/km) has 13 (13.0%) zerosZeros
CO_500M(g/km) has 13 (13.0%) zerosZeros
NOX(g/km) has 13 (13.0%) zerosZeros
NOX_100M(g/km) has 13 (13.0%) zerosZeros
NOX_300M(g/km) has 13 (13.0%) zerosZeros
NOX_500M(g/km) has 13 (13.0%) zerosZeros
HC(g/km) has 13 (13.0%) zerosZeros
HC_100M(g/km) has 13 (13.0%) zerosZeros
HC_300M(g/km) has 13 (13.0%) zerosZeros
HC_500M(g/km) has 13 (13.0%) zerosZeros
PM(g/km) has 13 (13.0%) zerosZeros
PM_100M(g/km) has 13 (13.0%) zerosZeros
PM_300M(g/km) has 13 (13.0%) zerosZeros
PM_500M(g/km) has 13 (13.0%) zerosZeros
CO2(g/km) has 13 (13.0%) zerosZeros
CO2_100M(g/km) has 13 (13.0%) zerosZeros
CO2_300M(g/km) has 13 (13.0%) zerosZeros
CO2_500M(g/km) has 13 (13.0%) zerosZeros
TSP(g/km) has 13 (13.0%) zerosZeros
TSP_100M(g/km) has 13 (13.0%) zerosZeros
TSP_300M(g/km) has 13 (13.0%) zerosZeros
TSP_500M(g/km) has 13 (13.0%) zerosZeros
PM10(g/km) has 13 (13.0%) zerosZeros
PM10_100M(g/km) has 13 (13.0%) zerosZeros
PM10_300M(g/km) has 13 (13.0%) zerosZeros
PM10_500M(g/km) has 13 (13.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:04:40.207227
Analysis finished2023-12-10 11:04:40.793939
Duration0.59 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
2023-12-10T20:04:40.955089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T20:04:41.235612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

도로종류
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로공사 100
100.0%

Length

2023-12-10T20:04:41.563071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:41.752198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-3452S-10
10 
A-0010-3613E-10
10 
A-0010-3801E-10
10 
A-0010-3352E-9
9 
A-0010-1185E-8
8 
Other values (10)
53 

Length

Max length15
Median length14
Mean length14.32
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0010-0083E-6
2nd rowA-0010-0083E-6
3rd rowA-0010-0083E-6
4th rowA-0010-0083E-6
5th rowA-0010-0083E-6

Common Values

ValueCountFrequency (%)
A-0010-3452S-10 10
10.0%
A-0010-3613E-10 10
10.0%
A-0010-3801E-10 10
10.0%
A-0010-3352E-9 9
9.0%
A-0010-1185E-8 8
 
8.0%
A-0010-2583E-7 7
 
7.0%
A-0010-0083E-6 6
 
6.0%
A-0010-0538E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
A-0010-2761E-6 6
 
6.0%
Other values (5) 22
22.0%

Length

2023-12-10T20:04:41.943913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-3452s-10 10
10.0%
a-0010-3613e-10 10
10.0%
a-0010-3801e-10 10
10.0%
a-0010-3352e-9 9
9.0%
a-0010-1185e-8 8
 
8.0%
a-0010-2583e-7 7
 
7.0%
a-0010-0083e-6 6
 
6.0%
a-0010-0538e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
a-0010-2761e-6 6
 
6.0%
Other values (5) 22
22.0%

주소
Categorical

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

Length

Max length18
Median length10
Mean length11.84
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
경기 화성시 동탄면 송리 10
10.0%
충북 청원군 남이면 9
9.0%
충청 천안시 구성동 9
9.0%
대구 동구 안심3동 8
8.0%
충북 옥천군 옥천읍 삼양리 7
 
7.0%
경남 양산시 동면 6
 
6.0%
울산 울주군 두서면 활천리 6
 
6.0%
대전 대덕구 비래동 6
 
6.0%
Other values (4) 19
19.0%

Length

2023-12-10T20:04:42.165975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 27
 
7.7%
경기 22
 
6.3%
청원군 20
 
5.7%
천안시 19
 
5.4%
남이면 14
 
4.0%
대덕구 12
 
3.4%
대전 12
 
3.4%
동탄면 10
 
2.9%
충남 10
 
2.9%
화성시 10
 
2.9%
Other values (28) 194
55.4%

방향
Categorical

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
S 52
52.0%
E 48
48.0%

Length

2023-12-10T20:04:42.382759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:42.553976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 52
52.0%
e 48
48.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
26 
2
26 
3
25 
4
14 
5
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T20:04:42.735854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:43.003836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
26.0%
2 26
26.0%
3 25
25.0%
4 14
14.0%
5 9
 
9.0%

측정구간
Categorical

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

Length

Max length11
Median length9
Mean length9.26
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T20:04:43.259354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주jc-남이jc 5
 
5.0%
안성jc-안성ic 5
 
5.0%
안성ic-안성jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
남이jc-청주jc 5
 
5.0%
동탄jc-오산ic 5
 
5.0%
오산ic-동탄jc 5
 
5.0%
천안jc-천안ic 4
 
4.0%
Other values (16) 51
51.0%

장비이정(km)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.637
Minimum8.3
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:43.486769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1258.3
median298.7
Q3345.2
95-th percentile380.1
Maximum388
Range379.7
Interquartile range (IQR)86.9

Descriptive statistics

Standard deviation111.15128
Coefficient of variation (CV)0.41070247
Kurtosis0.35501158
Mean270.637
Median Absolute Deviation (MAD)46.5
Skewness-1.254172
Sum27063.7
Variance12354.608
MonotonicityIncreasing
2023-12-10T20:04:43.719729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
345.2 10
10.0%
361.3 10
10.0%
380.1 10
10.0%
335.2 9
9.0%
118.5 8
 
8.0%
258.3 7
 
7.0%
8.3 6
 
6.0%
53.4 6
 
6.0%
269.5 6
 
6.0%
276.1 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
8.3 6
6.0%
53.4 6
6.0%
118.5 8
8.0%
258.3 7
7.0%
269.5 6
6.0%
276.1 6
6.0%
295.3 4
4.0%
297.9 5
5.0%
298.7 5
5.0%
306.8 6
6.0%
ValueCountFrequency (%)
388.0 2
 
2.0%
380.1 10
10.0%
361.3 10
10.0%
345.2 10
10.0%
335.2 9
9.0%
306.8 6
6.0%
298.7 5
5.0%
297.9 5
5.0%
295.3 4
 
4.0%
276.1 6
6.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20201101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20201101 100
100.0%

Length

2023-12-10T20:04:43.969641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:44.154123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201101 100
100.0%

측정시간
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:04:44.329300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:44.498038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.5209
Minimum0
Maximum129.62
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:44.707487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179.0025
median87.4
Q397.8175
95-th percentile107.1375
Maximum129.62
Range129.62
Interquartile range (IQR)18.815

Descriptive statistics

Standard deviation33.602176
Coefficient of variation (CV)0.42793927
Kurtosis1.3948095
Mean78.5209
Median Absolute Deviation (MAD)9.775
Skewness-1.5659759
Sum7852.09
Variance1129.1063
MonotonicityNot monotonic
2023-12-10T20:04:44.975724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
125.0 2
 
2.0%
79.04 2
 
2.0%
67.4 1
 
1.0%
87.32 1
 
1.0%
102.83 1
 
1.0%
92.61 1
 
1.0%
85.13 1
 
1.0%
85.87 1
 
1.0%
92.37 1
 
1.0%
Other values (76) 76
76.0%
ValueCountFrequency (%)
0.0 13
13.0%
20.67 1
 
1.0%
49.71 1
 
1.0%
52.19 1
 
1.0%
67.4 1
 
1.0%
72.06 1
 
1.0%
72.66 1
 
1.0%
73.23 1
 
1.0%
75.11 1
 
1.0%
77.19 1
 
1.0%
ValueCountFrequency (%)
129.62 1
1.0%
125.0 2
2.0%
112.61 1
1.0%
108.23 1
1.0%
107.08 1
1.0%
106.2 1
1.0%
106.01 1
1.0%
105.85 1
1.0%
105.04 1
1.0%
103.68 1
1.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.51398
Minimum35.306944
Maximum37.226111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:45.200049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306944
5-th percentile35.306944
Q136.307222
median36.584444
Q336.868903
95-th percentile37.158778
Maximum37.226111
Range1.9191667
Interquartile range (IQR)0.56168056

Descriptive statistics

Standard deviation0.51333631
Coefficient of variation (CV)0.014058624
Kurtosis-0.035793781
Mean36.51398
Median Absolute Deviation (MAD)0.28445834
Skewness-0.81294171
Sum3651.398
Variance0.26351417
MonotonicityIncreasing
2023-12-10T20:04:45.430934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36.86890278 10
10.0%
37.00888889 10
10.0%
37.15877778 10
10.0%
36.78083333 9
9.0%
35.90473241 8
 
8.0%
36.30722222 7
 
7.0%
35.30694444 6
 
6.0%
35.68194444 6
 
6.0%
36.3475 6
 
6.0%
36.38961 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
35.30694444 6
6.0%
35.68194444 6
6.0%
35.90473241 8
8.0%
36.30722222 7
7.0%
36.3475 6
6.0%
36.38961 6
6.0%
36.54 4
4.0%
36.57694444 5
5.0%
36.58444444 5
5.0%
36.64019722 6
6.0%
ValueCountFrequency (%)
37.22611111 2
 
2.0%
37.15877778 10
10.0%
37.00888889 10
10.0%
36.86890278 10
10.0%
36.78083333 9
9.0%
36.64019722 6
6.0%
36.58444444 5
5.0%
36.57694444 5
5.0%
36.54 4
 
4.0%
36.38961 6
6.0%

경도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.61728
Minimum127.08833
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:45.652208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.67320788
Coefficient of variation (CV)0.0052752094
Kurtosis0.63986465
Mean127.61728
Median Absolute Deviation (MAD)0.2468413
Skewness1.4755816
Sum12761.728
Variance0.45320884
MonotonicityNot monotonic
2023-12-10T20:04:45.872951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
127.1867222 10
10.0%
127.1491667 10
10.0%
127.0883333 10
10.0%
127.1766667 9
9.0%
128.5614716 8
 
8.0%
127.5744444 7
 
7.0%
129.0747222 6
 
6.0%
129.1811111 6
 
6.0%
127.4691667 6
 
6.0%
127.423508 6
 
6.0%
Other values (5) 22
22.0%
ValueCountFrequency (%)
127.0883333 10
10.0%
127.1083333 2
 
2.0%
127.1491667 10
10.0%
127.1766667 9
9.0%
127.1867222 10
10.0%
127.3781278 6
6.0%
127.423508 6
6.0%
127.4263889 5
5.0%
127.4277778 5
5.0%
127.4338889 4
 
4.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
129.0747222 6
6.0%
128.5614716 8
8.0%
127.5744444 7
7.0%
127.4691667 6
6.0%
127.4338889 4
4.0%
127.4277778 5
5.0%
127.4263889 5
5.0%
127.423508 6
6.0%
127.3781278 6
6.0%

기울기(°)
Real number (ℝ)

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04250919
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size1.0 KiB
2023-12-10T20:04:46.077892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation3.4431155
Coefficient of variation (CV)-80.996967
Kurtosis9.578913
Mean-0.04250919
Median Absolute Deviation (MAD)0.973614
Skewness-0.25577771
Sum-4.250919
Variance11.855044
MonotonicityNot monotonic
2023-12-10T20:04:46.319378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.758683 5
 
5.0%
0.671977 5
 
5.0%
-0.660004 5
 
5.0%
-1.30142 5
 
5.0%
1.293015 5
 
5.0%
0.61369 5
 
5.0%
-0.624001 5
 
5.0%
1.544389 5
 
5.0%
1.437416 5
 
5.0%
0.166426 4
 
4.0%
Other values (16) 51
51.0%
ValueCountFrequency (%)
-13.24576 3
3.0%
-3.15276 3
3.0%
-2.788625 3
3.0%
-1.758683 5
5.0%
-1.359001 4
4.0%
-1.30142 5
5.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
-0.660004 5
5.0%
-0.624001 5
5.0%
ValueCountFrequency (%)
12.47809 3
3.0%
3.071416 3
3.0%
2.703849 3
3.0%
1.544389 5
5.0%
1.437416 5
5.0%
1.293015 5
5.0%
0.688696 3
3.0%
0.671977 5
5.0%
0.61369 5
5.0%
0.2594 4
4.0%

풍향
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남
80 
서
12 
남서
 
8

Length

Max length2
Median length1
Mean length1.08
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 80
80.0%
서 12
 
12.0%
남서 8
 
8.0%

Length

2023-12-10T20:04:46.543586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:04:46.729076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 80
80.0%
서 12
 
12.0%
남서 8
 
8.0%

풍속(m/s)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1974065
Minimum0.66206897
Maximum1.6517241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:46.880441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.66206897
5-th percentile0.66206897
Q10.97586207
median1.2896552
Q31.3689655
95-th percentile1.6517241
Maximum1.6517241
Range0.98965517
Interquartile range (IQR)0.39310345

Descriptive statistics

Standard deviation0.28986306
Coefficient of variation (CV)0.24207573
Kurtosis-0.72644641
Mean1.1974065
Median Absolute Deviation (MAD)0.22413793
Skewness-0.34268351
Sum119.74065
Variance0.084020595
MonotonicityNot monotonic
2023-12-10T20:04:47.018835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.05862068965517 10
10.0%
1.65172413793104 10
10.0%
1.36896551724138 10
10.0%
1.28965517241379 9
9.0%
1.51379310344828 9
9.0%
0.975862068965518 8
8.0%
0.662068965517241 7
 
7.0%
1.29298245614035 6
 
6.0%
1.26551724137931 6
 
6.0%
0.706896551724138 6
 
6.0%
Other values (4) 19
19.0%
ValueCountFrequency (%)
0.662068965517241 7
7.0%
0.706896551724138 6
6.0%
0.858620689655172 6
6.0%
0.975862068965518 8
8.0%
1.05862068965517 10
10.0%
1.18275862068965 6
6.0%
1.26551724137931 6
6.0%
1.28965517241379 9
9.0%
1.29298245614035 6
6.0%
1.31724137931034 5
5.0%
ValueCountFrequency (%)
1.65172413793104 10
10.0%
1.51379310344828 9
9.0%
1.42413793103448 2
 
2.0%
1.36896551724138 10
10.0%
1.31724137931034 5
5.0%
1.29298245614035 6
6.0%
1.28965517241379 9
9.0%
1.26551724137931 6
6.0%
1.18275862068965 6
6.0%
1.05862068965517 10
10.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6097.7581
Minimum0
Maximum135426.14
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:47.646218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11852.85
median4285.225
Q37889.545
95-th percentile11222.252
Maximum135426.14
Range135426.14
Interquartile range (IQR)6036.695

Descriptive statistics

Standard deviation13560.592
Coefficient of variation (CV)2.2238652
Kurtosis85.70631
Mean6097.7581
Median Absolute Deviation (MAD)3146.015
Skewness8.9263892
Sum609775.81
Variance1.8388966 × 108
MonotonicityNot monotonic
2023-12-10T20:04:47.983731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
4046.79 1
 
1.0%
2811.28 1
 
1.0%
5212.53 1
 
1.0%
7872.69 1
 
1.0%
1264.48 1
 
1.0%
2424.36 1
 
1.0%
1043.37 1
 
1.0%
5708.36 1
 
1.0%
2240.57 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
72.49 1
 
1.0%
295.29 1
 
1.0%
711.49 1
 
1.0%
830.21 1
 
1.0%
869.81 1
 
1.0%
1043.37 1
 
1.0%
1094.05 1
 
1.0%
1137.59 1
 
1.0%
1159.72 1
 
1.0%
ValueCountFrequency (%)
135426.14 1
1.0%
12939.56 1
1.0%
12324.25 1
1.0%
11672.5 1
1.0%
11265.98 1
1.0%
11219.95 1
1.0%
11179.31 1
1.0%
10984.26 1
1.0%
10567.01 1
1.0%
10412.31 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.968096
Minimum0
Maximum753.48023
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:48.228901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.359559
median29.038659
Q350.467232
95-th percentile73.680518
Maximum753.48023
Range753.48023
Interquartile range (IQR)38.107673

Descriptive statistics

Standard deviation76.552941
Coefficient of variation (CV)1.9153512
Kurtosis77.960957
Mean39.968096
Median Absolute Deviation (MAD)18.865819
Skewness8.3522269
Sum3996.8096
Variance5860.3527
MonotonicityNot monotonic
2023-12-10T20:04:48.501710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
24.7993015439291 1
 
1.0%
21.0419090351413 1
 
1.0%
39.0148196205803 1
 
1.0%
58.9256235031254 1
 
1.0%
9.46439811642933 1
 
1.0%
18.1458846462946 1
 
1.0%
7.80943080376034 1
 
1.0%
29.8790128698018 1
 
1.0%
11.7277151170725 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.812537942423101 1
 
1.0%
1.81424756535528 1
 
1.0%
3.41312896470914 1
 
1.0%
5.56335847721328 1
 
1.0%
7.80943080376034 1
 
1.0%
8.51465001682023 1
 
1.0%
9.46439811642933 1
 
1.0%
9.9358755418644 1
 
1.0%
10.4098046338506 1
 
1.0%
ValueCountFrequency (%)
753.480226709407 1
1.0%
145.03908757429 1
1.0%
92.1411749686859 1
1.0%
90.4935690622606 1
1.0%
75.4734612136654 1
1.0%
73.5861523871707 1
1.0%
72.1479611636675 1
1.0%
71.3893054858838 1
1.0%
71.3328217621304 1
1.0%
68.9348334549359 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8281935
Minimum0
Maximum109.87335
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:48.757824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.8022851
median4.2344505
Q37.3591896
95-th percentile10.744178
Maximum109.87335
Range109.87335
Interquartile range (IQR)5.5569045

Descriptive statistics

Standard deviation11.163038
Coefficient of variation (CV)1.9153512
Kurtosis77.960957
Mean5.8281935
Median Absolute Deviation (MAD)2.7510353
Skewness8.3522269
Sum582.81935
Variance124.61341
MonotonicityNot monotonic
2023-12-10T20:04:48.991660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
3.61626258223244 1
 
1.0%
3.06835529894783 1
 
1.0%
5.68918572551455 1
 
1.0%
8.59260197435816 1
 
1.0%
1.38010938377307 1
 
1.0%
2.64605370242636 1
 
1.0%
1.13878015290658 1
 
1.0%
4.35699191139343 1
 
1.0%
1.71014886358092 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.118485214296211 1
 
1.0%
0.264555659919652 1
 
1.0%
0.497706378606978 1
 
1.0%
0.811255311245533 1
 
1.0%
1.13878015290658 1
 
1.0%
1.24161602705176 1
 
1.0%
1.38010938377307 1
 
1.0%
1.44886076247412 1
 
1.0%
1.51796964600235 1
 
1.0%
ValueCountFrequency (%)
109.873350484271 1
1.0%
21.149766029779 1
1.0%
13.4361317689514 1
1.0%
13.1958759867828 1
1.0%
11.0056266405359 1
1.0%
10.730417103756 1
1.0%
10.5206984107341 1
1.0%
10.4100703700408 1
1.0%
10.4018338486874 1
1.0%
10.0521564445647 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4200598
Minimum0
Maximum45.623069
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:49.233437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.74836871
median1.7582847
Q33.0557803
95-th percentile4.4613399
Maximum45.623069
Range45.623069
Interquartile range (IQR)2.3074116

Descriptive statistics

Standard deviation4.6352645
Coefficient of variation (CV)1.9153512
Kurtosis77.960957
Mean2.4200598
Median Absolute Deviation (MAD)1.1423213
Skewness8.3522269
Sum242.00598
Variance21.485677
MonotonicityNot monotonic
2023-12-10T20:04:49.475233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1.50159249691011 1
 
1.0%
1.27408317011928 1
 
1.0%
2.36233912905931 1
 
1.0%
3.56793411989072 1
 
1.0%
0.57306731700593 1
 
1.0%
1.09872950197433 1
 
1.0%
0.472859394015309 1
 
1.0%
1.80916795019005 1
 
1.0%
0.710110685758662 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0491990016588185 1
 
1.0%
0.109852308818021 1
 
1.0%
0.206664241543869 1
 
1.0%
0.336860186655127 1
 
1.0%
0.472859394015309 1
 
1.0%
0.515560269164223 1
 
1.0%
0.57306731700593 1
 
1.0%
0.601615176035013 1
 
1.0%
0.630311482958546 1
 
1.0%
ValueCountFrequency (%)
45.6230693833371 1
1.0%
8.78208627264977 1
1.0%
5.57912878088016 1
1.0%
5.47936658949059 1
1.0%
4.56990221573477 1
1.0%
4.45562606290858 1
1.0%
4.36854388656144 1
1.0%
4.32260744470318 1
1.0%
4.31918736709997 1
1.0%
4.17398967903674 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7035.8827
Minimum0
Maximum122314.66
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:49.718862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12451.7575
median4752.565
Q38157.275
95-th percentile12599.813
Maximum122314.66
Range122314.66
Interquartile range (IQR)5705.5175

Descriptive statistics

Standard deviation13083.508
Coefficient of variation (CV)1.8595404
Kurtosis62.249432
Mean7035.8827
Median Absolute Deviation (MAD)3088.395
Skewness7.285891
Sum703588.27
Variance1.7117818 × 108
MonotonicityNot monotonic
2023-12-10T20:04:49.968320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
2713.61 1
 
1.0%
9142.37 1
 
1.0%
3542.45 1
 
1.0%
8841.72 1
 
1.0%
1976.93 1
 
1.0%
1719.71 1
 
1.0%
2707.91 1
 
1.0%
6084.52 1
 
1.0%
2789.36 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
337.43 1
 
1.0%
341.7 1
 
1.0%
708.53 1
 
1.0%
804.33 1
 
1.0%
896.85 1
 
1.0%
993.73 1
 
1.0%
1181.57 1
 
1.0%
1392.5 1
 
1.0%
1719.71 1
 
1.0%
ValueCountFrequency (%)
122314.66 1
1.0%
37915.84 1
1.0%
37138.66 1
1.0%
17820.04 1
1.0%
13132.82 1
1.0%
12571.76 1
1.0%
12294.51 1
1.0%
12044.34 1
1.0%
11756.45 1
1.0%
11670.61 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.21372
Minimum0
Maximum1371.0209
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:50.217337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.747771
median32.800686
Q354.042171
95-th percentile88.869086
Maximum1371.0209
Range1371.0209
Interquartile range (IQR)39.2944

Descriptive statistics

Standard deviation142.06891
Coefficient of variation (CV)2.6205343
Kurtosis76.636072
Mean54.21372
Median Absolute Deviation (MAD)19.318195
Skewness8.3931721
Sum5421.372
Variance20183.577
MonotonicityNot monotonic
2023-12-10T20:04:50.531394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
16.6293859238116 1
 
1.0%
68.4289426544509 1
 
1.0%
26.5145807822544 1
 
1.0%
66.1786332041595 1
 
1.0%
14.7969541379165 1
 
1.0%
12.8717101771516 1
 
1.0%
20.268203770293 1
 
1.0%
31.8479302963665 1
 
1.0%
14.6002220144683 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
2.07315369967772 1
 
1.0%
3.39892938110917 1
 
1.0%
3.83010366845046 1
 
1.0%
4.30232991609072 1
 
1.0%
6.0202607688438 1
 
1.0%
9.59383912141493 1
 
1.0%
11.3064998066727 1
 
1.0%
11.8928675903891 1
 
1.0%
12.6937706455529 1
 
1.0%
ValueCountFrequency (%)
1371.02086031978 1
1.0%
424.997359895758 1
1.0%
206.631053329022 1
1.0%
140.91642989429 1
1.0%
119.380657321065 1
1.0%
87.2632134968673 1
1.0%
76.0128290398313 1
1.0%
74.4239281970188 1
1.0%
73.6087678768814 1
1.0%
72.4501109918781 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9055068
Minimum0
Maximum199.92383
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:50.767675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.1505369
median4.7830337
Q37.8804914
95-th percentile12.958992
Maximum199.92383
Range199.92383
Interquartile range (IQR)5.7299545

Descriptive statistics

Standard deviation20.716652
Coefficient of variation (CV)2.6205343
Kurtosis76.636072
Mean7.9055068
Median Absolute Deviation (MAD)2.8170014
Skewness8.3931721
Sum790.55068
Variance429.17967
MonotonicityNot monotonic
2023-12-10T20:04:51.119516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
2.42491612012775 1
 
1.0%
9.97838686806071 1
 
1.0%
3.86638656724259 1
 
1.0%
9.65024416415762 1
 
1.0%
2.15770881632173 1
 
1.0%
1.87696753477191 1
 
1.0%
2.95553271021521 1
 
1.0%
4.64410170779551 1
 
1.0%
2.12902111253747 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.302309649248834 1
 
1.0%
0.495635779047354 1
 
1.0%
0.558510107946134 1
 
1.0%
0.627370680759628 1
 
1.0%
0.877881327225574 1
 
1.0%
1.39898461951738 1
 
1.0%
1.6487267641172 1
 
1.0%
1.73423158657858 1
 
1.0%
1.85102018827586 1
 
1.0%
ValueCountFrequency (%)
199.923833655238 1
1.0%
61.9736022571506 1
1.0%
30.1311770880878 1
1.0%
20.5485953604709 1
1.0%
17.4082243142111 1
1.0%
12.7248218348042 1
1.0%
11.0842778753043 1
1.0%
10.852582532814 1
1.0%
10.7337149203931 1
1.0%
10.5647582450826 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2826294
Minimum0
Maximum83.015025
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:51.432300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.89297444
median1.9860747
Q33.2722421
95-th percentile5.3810045
Maximum83.015025
Range83.015025
Interquartile range (IQR)2.3792677

Descriptive statistics

Standard deviation8.6022429
Coefficient of variation (CV)2.6205343
Kurtosis76.636072
Mean3.2826294
Median Absolute Deviation (MAD)1.1697127
Skewness8.3931721
Sum328.26294
Variance73.998583
MonotonicityNot monotonic
2023-12-10T20:04:51.664954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1.00690582302028 1
 
1.0%
4.14335809738035 1
 
1.0%
1.60545229432467 1
 
1.0%
4.00710233306788 1
 
1.0%
0.895952463469991 1
 
1.0%
0.779379346235819 1
 
1.0%
1.22723547892693 1
 
1.0%
1.92838548660042 1
 
1.0%
0.884040374738473 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.125529020842104 1
 
1.0%
0.205804459740935 1
 
1.0%
0.231911972228146 1
 
1.0%
0.260505172284388 1
 
1.0%
0.364525524395309 1
 
1.0%
0.580904942655773 1
 
1.0%
0.68460618723238 1
 
1.0%
0.720110633311178 1
 
1.0%
0.768605144991521 1
 
1.0%
ValueCountFrequency (%)
83.015024972242 1
1.0%
25.733500828466 1
1.0%
12.5114668555433 1
1.0%
8.53246021650253 1
1.0%
7.22847371293773 1
1.0%
5.28376923886545 1
1.0%
4.60256082426093 1
1.0%
4.50635321213625 1
1.0%
4.45699542605792 1
1.0%
4.38683899516279 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean821.1556
Minimum0
Maximum21615.26
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:51.911459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1218.1525
median477.29
Q3874.245
95-th percentile1408.975
Maximum21615.26
Range21615.26
Interquartile range (IQR)656.0925

Descriptive statistics

Standard deviation2203.5002
Coefficient of variation (CV)2.6834138
Kurtosis82.222225
Mean821.1556
Median Absolute Deviation (MAD)326.985
Skewness8.7452764
Sum82115.56
Variance4855413.3
MonotonicityNot monotonic
2023-12-10T20:04:52.175758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
304.91 1
 
1.0%
447.82 1
 
1.0%
407.24 1
 
1.0%
928.86 1
 
1.0%
211.17 1
 
1.0%
198.23 1
 
1.0%
143.59 1
 
1.0%
783.9 1
 
1.0%
354.35 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
24.2 1
 
1.0%
44.37 1
 
1.0%
74.48 1
 
1.0%
90.45 1
 
1.0%
105.91 1
 
1.0%
110.77 1
 
1.0%
134.64 1
 
1.0%
143.59 1
 
1.0%
157.02 1
 
1.0%
ValueCountFrequency (%)
21615.26 1
1.0%
5359.6 1
1.0%
2442.98 1
1.0%
1987.94 1
1.0%
1604.2 1
1.0%
1398.7 1
1.0%
1325.97 1
1.0%
1314.88 1
1.0%
1276.02 1
1.0%
1262.23 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6188427
Minimum0
Maximum120.26239
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:52.477113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5665574
median3.5005681
Q35.696066
95-th percentile9.4867459
Maximum120.26239
Range120.26239
Interquartile range (IQR)4.1295086

Descriptive statistics

Standard deviation13.388063
Coefficient of variation (CV)2.3827083
Kurtosis57.635986
Mean5.6188427
Median Absolute Deviation (MAD)1.9964483
Skewness7.1969316
Sum561.88427
Variance179.24023
MonotonicityNot monotonic
2023-12-10T20:04:52.763249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1.86853160993267 1
 
1.0%
3.35184958599534 1
 
1.0%
3.04811581751762 1
 
1.0%
6.95234470646159 1
 
1.0%
1.5805682575022 1
 
1.0%
1.48371475912611 1
 
1.0%
1.07474450014084 1
 
1.0%
4.10313263155051 1
 
1.0%
1.85475832120158 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.271256976226225 1
 
1.0%
0.272607147125924 1
 
1.0%
0.357292225177496 1
 
1.0%
0.531381038975714 1
 
1.0%
0.677001462760212 1
 
1.0%
1.07474450014084 1
 
1.0%
1.09321876766278 1
 
1.0%
1.14992079311936 1
 
1.0%
1.26752096293571 1
 
1.0%
ValueCountFrequency (%)
120.26238808241 1
1.0%
60.075573957937 1
1.0%
27.3832796603778 1
1.0%
14.8627525936648 1
1.0%
13.3176796412823 1
1.0%
9.28511776950399 1
1.0%
8.84123170730458 1
1.0%
7.83980554148346 1
1.0%
7.64473506771181 1
1.0%
7.63712928512021 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81934608
Minimum0
Maximum17.536799
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:53.043550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.22843719
median0.51045685
Q30.83060687
95-th percentile1.3833682
Maximum17.536799
Range17.536799
Interquartile range (IQR)0.60216968

Descriptive statistics

Standard deviation1.9522627
Coefficient of variation (CV)2.3827083
Kurtosis57.635986
Mean0.81934608
Median Absolute Deviation (MAD)0.29112438
Skewness7.1969316
Sum81.934608
Variance3.8113295
MonotonicityNot monotonic
2023-12-10T20:04:53.325620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.272471421533732 1
 
1.0%
0.488770549349342 1
 
1.0%
0.444479743015109 1
 
1.0%
1.01379887559428 1
 
1.0%
0.230480275347462 1
 
1.0%
0.216356987176812 1
 
1.0%
0.156720475148658 1
 
1.0%
0.598323504358749 1
 
1.0%
0.270462984780613 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0395550032551842 1
 
1.0%
0.0397518867236783 1
 
1.0%
0.0521007618921526 1
 
1.0%
0.0774865923038903 1
 
1.0%
0.0987211294463133 1
 
1.0%
0.156720475148658 1
 
1.0%
0.159414414018484 1
 
1.0%
0.167682768376457 1
 
1.0%
0.184831359961496 1
 
1.0%
ValueCountFrequency (%)
17.5367993046884 1
1.0%
8.76028906803659 1
1.0%
3.99306123356818 1
1.0%
2.16730362257341 1
1.0%
1.94199931331202 1
1.0%
1.35396651804892 1
1.0%
1.28923854356694 1
1.0%
1.1432094319844 1
1.0%
1.11476403186097 1
1.0%
1.11365494792383 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34021974
Minimum0
Maximum7.2818623
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:53.591433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.09485472
median0.21195866
Q30.3448956
95-th percentile0.57442047
Maximum7.2818623
Range7.2818623
Interquartile range (IQR)0.25004088

Descriptive statistics

Standard deviation0.81064439
Coefficient of variation (CV)2.3827083
Kurtosis57.635986
Mean0.34021974
Median Absolute Deviation (MAD)0.12088453
Skewness7.1969316
Sum34.021974
Variance0.65714432
MonotonicityNot monotonic
2023-12-10T20:04:54.231249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.113139196309386 1
 
1.0%
0.202953788040614 1
 
1.0%
0.184562772188959 1
 
1.0%
0.420963010940567 1
 
1.0%
0.0957030758352385 1
 
1.0%
0.0898386168623352 1
 
1.0%
0.0650755536259028 1
 
1.0%
0.2484438185668 1
 
1.0%
0.112305226571177 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0164245529058271 1
 
1.0%
0.0165063054700654 1
 
1.0%
0.0216339691495135 1
 
1.0%
0.0321750102402204 1
 
1.0%
0.0409922962982304 1
 
1.0%
0.0650755536259028 1
 
1.0%
0.0661941666419875 1
 
1.0%
0.0696274623674492 1
 
1.0%
0.0767481279361465 1
 
1.0%
ValueCountFrequency (%)
7.28186232524142 1
1.0%
3.6375633782674 1
1.0%
1.65805182883792 1
1.0%
0.899936546138 1
1.0%
0.806382703568423 1
1.0%
0.562211929675378 1
1.0%
0.535334721891887 1
1.0%
0.474698578001191 1
1.0%
0.46288710180839 1
1.0%
0.462426573270824 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean398.1668
Minimum0
Maximum7222.76
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:54.507576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138.1925
median172.235
Q3450.0825
95-th percentile1619.5205
Maximum7222.76
Range7222.76
Interquartile range (IQR)411.89

Descriptive statistics

Standard deviation828.48925
Coefficient of variation (CV)2.0807593
Kurtosis47.316078
Mean398.1668
Median Absolute Deviation (MAD)158.935
Skewness6.168355
Sum39816.68
Variance686394.45
MonotonicityNot monotonic
2023-12-10T20:04:54.777917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
20.15 1
 
1.0%
548.37 1
 
1.0%
53.24 1
 
1.0%
320.15 1
 
1.0%
85.7 1
 
1.0%
80.38 1
 
1.0%
151.22 1
 
1.0%
210.65 1
 
1.0%
125.19 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
5.24 1
 
1.0%
6.67 1
 
1.0%
13.13 1
 
1.0%
13.47 1
 
1.0%
20.15 1
 
1.0%
20.81 1
 
1.0%
21.22 1
 
1.0%
22.76 1
 
1.0%
23.83 1
 
1.0%
ValueCountFrequency (%)
7222.76 1
1.0%
2315.82 1
1.0%
2282.03 1
1.0%
2172.48 1
1.0%
1860.45 1
1.0%
1606.84 1
1.0%
993.45 1
1.0%
785.0 1
1.0%
703.02 1
1.0%
692.3 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0965064
Minimum0
Maximum80.959671
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:55.043481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.29259954
median1.4677311
Q33.023901
95-th percentile9.938287
Maximum80.959671
Range80.959671
Interquartile range (IQR)2.7313014

Descriptive statistics

Standard deviation8.6369244
Coefficient of variation (CV)2.7892481
Kurtosis68.399997
Mean3.0965064
Median Absolute Deviation (MAD)1.314747
Skewness7.7849755
Sum309.65064
Variance74.596463
MonotonicityNot monotonic
2023-12-10T20:04:55.336001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.123482050244804 1
 
1.0%
4.10444767422684 1
 
1.0%
0.398491518820936 1
 
1.0%
2.39626333115182 1
 
1.0%
0.641448594345497 1
 
1.0%
0.601629381721016 1
 
1.0%
1.13185363403648 1
 
1.0%
1.10259585257828 1
 
1.0%
0.65527640533717 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0425465414628115 1
 
1.0%
0.0541575251062887 1
 
1.0%
0.0822087553830836 1
 
1.0%
0.10082045000973 1
 
1.0%
0.123482050244804 1
 
1.0%
0.127855639659465 1
 
1.0%
0.14250352418271 1
 
1.0%
0.150582746352331 1
 
1.0%
0.161292682999665 1
 
1.0%
ValueCountFrequency (%)
80.959670975526 1
1.0%
25.9579475489346 1
1.0%
14.5539566924017 1
1.0%
13.7270557611953 1
1.0%
11.1911328470335 1
1.0%
9.8723477189051 1
1.0%
7.75996713394279 1
1.0%
5.75009365921565 1
1.0%
5.25890042878892 1
1.0%
4.69297512223568 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45153611
Minimum0
Maximum11.805632
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:55.634634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0426672
median0.21402624
Q30.4409487
95-th percentile1.4492124
Maximum11.805632
Range11.805632
Interquartile range (IQR)0.3982815

Descriptive statistics

Standard deviation1.2594462
Coefficient of variation (CV)2.7892481
Kurtosis68.399997
Mean0.45153611
Median Absolute Deviation (MAD)0.19171792
Skewness7.7849755
Sum45.153611
Variance1.5862048
MonotonicityNot monotonic
2023-12-10T20:04:55.929318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0180062941323824 1
 
1.0%
0.59851526538944 1
 
1.0%
0.0581084901240654 1
 
1.0%
0.349425866138609 1
 
1.0%
0.0935367694145832 1
 
1.0%
0.0877302861790455 1
 
1.0%
0.165048194525942 1
 
1.0%
0.160781791291199 1
 
1.0%
0.095553156666248 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0062041854534823 1
 
1.0%
0.007897312399757 1
 
1.0%
0.0119877749579815 1
 
1.0%
0.0147017536057694 1
 
1.0%
0.0180062941323824 1
 
1.0%
0.0186440559549188 1
 
1.0%
0.0207800272691286 1
 
1.0%
0.0219581487083065 1
 
1.0%
0.0235198839486007 1
 
1.0%
ValueCountFrequency (%)
11.8056320376618 1
1.0%
3.78521767100912 1
1.0%
2.12227465023295 1
1.0%
2.00169500844595 1
1.0%
1.63190382180045 1
1.0%
1.43959706249888 1
1.0%
1.13156730386628 1
1.0%
0.838485249567196 1
1.0%
0.76685888957913 1
1.0%
0.684335012573898 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18749281
Minimum0
Maximum4.9020911
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:56.201375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.017716841
median0.088870812
Q30.18309657
95-th percentile0.60176119
Maximum4.9020911
Range4.9020911
Interquartile range (IQR)0.16537973

Descriptive statistics

Standard deviation0.52296396
Coefficient of variation (CV)2.7892481
Kurtosis68.399997
Mean0.18749281
Median Absolute Deviation (MAD)0.079607656
Skewness7.7849755
Sum18.749281
Variance0.2734913
MonotonicityNot monotonic
2023-12-10T20:04:56.465261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0074768121925621 1
 
1.0%
0.248523444124496 1
 
1.0%
0.0241285777215897 1
 
1.0%
0.145093241126351 1
 
1.0%
0.038839577587157 1
 
1.0%
0.0364285326307547 1
 
1.0%
0.0685334996817955 1
 
1.0%
0.0667619471630264 1
 
1.0%
0.0396768486367875 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0025761841444148 1
 
1.0%
0.0032792267639784 1
 
1.0%
0.0049777228622705 1
 
1.0%
0.0061046570606651 1
 
1.0%
0.0074768121925621 1
 
1.0%
0.0077416321125098 1
 
1.0%
0.0086285584421384 1
 
1.0%
0.0091177536466599 1
 
1.0%
0.0097662380599621 1
 
1.0%
ValueCountFrequency (%)
4.9020910638881 1
1.0%
1.57174826902366 1
1.0%
0.88123901921 1
1.0%
0.831170341598737 1
1.0%
0.6776207420706 1
1.0%
0.597768579705203 1
1.0%
0.46986437920265 1
1.0%
0.34816696268296 1
1.0%
0.31842531580491 1
1.0%
0.28415865742235 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1710129.9
Minimum0
Maximum11903793
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:56.727233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1574677.68
median1407934
Q32447283
95-th percentile3621106.3
Maximum11903793
Range11903793
Interquartile range (IQR)1872605.3

Descriptive statistics

Standard deviation1808103.8
Coefficient of variation (CV)1.0572903
Kurtosis15.523558
Mean1710129.9
Median Absolute Deviation (MAD)961529.7
Skewness3.2248882
Sum1.7101299 × 108
Variance3.2692393 × 1012
MonotonicityNot monotonic
2023-12-10T20:04:57.013077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1377734.22 1
 
1.0%
1015918.37 1
 
1.0%
1766865.01 1
 
1.0%
2620763.13 1
 
1.0%
391855.39 1
 
1.0%
833799.48 1
 
1.0%
366662.41 1
 
1.0%
1561404.68 1
 
1.0%
582285.12 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
29532.55 1
 
1.0%
85164.59 1
 
1.0%
221231.17 1
 
1.0%
252071.7 1
 
1.0%
265730.26 1
 
1.0%
364296.28 1
 
1.0%
366662.41 1
 
1.0%
384711.15 1
 
1.0%
388331.08 1
 
1.0%
ValueCountFrequency (%)
11903793.41 1
1.0%
10963383.48 1
1.0%
4986006.04 1
1.0%
4110581.67 1
1.0%
3664719.65 1
1.0%
3618810.88 1
1.0%
3492063.64 1
1.0%
3343375.09 1
1.0%
3321640.37 1
1.0%
3283557.2 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11921.369
Minimum0
Maximum122888.19
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:57.290527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13859.1563
median9246.0617
Q316740.17
95-th percentile24841.226
Maximum122888.19
Range122888.19
Interquartile range (IQR)12881.014

Descriptive statistics

Standard deviation14767.358
Coefficient of variation (CV)1.23873
Kurtosis33.39746
Mean11921.369
Median Absolute Deviation (MAD)6201.4091
Skewness4.9121046
Sum1192136.9
Variance2.1807485 × 108
MonotonicityNot monotonic
2023-12-10T20:04:57.616552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
8442.95018253232 1
 
1.0%
7603.96044814782 1
 
1.0%
13224.6566751779 1
 
1.0%
19615.9256225321 1
 
1.0%
2932.96486700358 1
 
1.0%
6240.83435719961 1
 
1.0%
2744.40008744262 1
 
1.0%
8172.79052629631 1
 
1.0%
3047.82890258745 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
331.02934765495 1
 
1.0%
523.247147082465 1
 
1.0%
1209.22742477543 1
 
1.0%
1747.58631182981 1
 
1.0%
2647.6739272004 1
 
1.0%
2744.40008744262 1
 
1.0%
2906.58606075459 1
 
1.0%
2932.96486700358 1
 
1.0%
3047.82890258745 1
 
1.0%
ValueCountFrequency (%)
122888.19223113 1
1.0%
66229.9978221985 1
1.0%
41077.7178089186 1
1.0%
29992.2362706611 1
1.0%
27024.5988025071 1
1.0%
24726.3111330865 1
1.0%
22568.2404009656 1
1.0%
21455.0711400173 1
1.0%
21393.1261515246 1
1.0%
20945.6958024949 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1738.3878
Minimum0
Maximum17919.697
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:57.856605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1562.7466
median1348.2713
Q32441.0708
95-th percentile3622.376
Maximum17919.697
Range17919.697
Interquartile range (IQR)1878.3242

Descriptive statistics

Standard deviation2153.393
Coefficient of variation (CV)1.23873
Kurtosis33.39746
Mean1738.3878
Median Absolute Deviation (MAD)904.29659
Skewness4.9121046
Sum173838.78
Variance4637101.4
MonotonicityNot monotonic
2023-12-10T20:04:58.133877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
1231.1606750158 1
 
1.0%
1108.81823009019 1
 
1.0%
1928.43459774872 1
 
1.0%
2860.41676290608 1
 
1.0%
427.688299396634 1
 
1.0%
910.045620755652 1
 
1.0%
400.191567061439 1
 
1.0%
1191.76568421961 1
 
1.0%
444.437904751059 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
48.2710789828054 1
 
1.0%
76.3004988629368 1
 
1.0%
176.330929396484 1
 
1.0%
254.835039506941 1
 
1.0%
386.086847483457 1
 
1.0%
400.191567061439 1
 
1.0%
423.841711627492 1
 
1.0%
427.688299396634 1
 
1.0%
444.437904751059 1
 
1.0%
ValueCountFrequency (%)
17919.6970760014 1
1.0%
9657.73421164691 1
1.0%
5989.99990434246 1
1.0%
4373.50227751141 1
1.0%
3940.7579796647 1
1.0%
3605.6190368437 1
1.0%
3290.92668857108 1
1.0%
3128.60307074951 1
1.0%
3119.57018151082 1
1.0%
3054.32537505993 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean721.83642
Minimum0
Maximum7440.8542
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:58.394452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1233.67111
median559.84709
Q31013.6138
95-th percentile1504.131
Maximum7440.8542
Range7440.8542
Interquartile range (IQR)779.94266

Descriptive statistics

Standard deviation894.1604
Coefficient of variation (CV)1.23873
Kurtosis33.39746
Mean721.83642
Median Absolute Deviation (MAD)375.49402
Skewness4.9121046
Sum72183.642
Variance799522.81
MonotonicityNot monotonic
2023-12-10T20:04:58.718439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
511.218859265814 1
 
1.0%
460.418207162579 1
 
1.0%
800.750182519578 1
 
1.0%
1187.7401741563 1
 
1.0%
177.590406334313 1
 
1.0%
377.881208816699 1
 
1.0%
166.172848558798 1
 
1.0%
494.860748854793 1
 
1.0%
184.545399550233 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
20.0437574346688 1
 
1.0%
31.682504795422 1
 
1.0%
73.2184664509322 1
 
1.0%
105.81598392592 1
 
1.0%
160.31609988314 1
 
1.0%
166.172848558798 1
 
1.0%
175.993175159445 1
 
1.0%
177.590406334313 1
 
1.0%
184.545399550233 1
 
1.0%
ValueCountFrequency (%)
7440.85421463352 1
1.0%
4010.21244989587 1
1.0%
2487.24718084501 1
1.0%
1816.02360331817 1
1.0%
1636.33377827065 1
1.0%
1497.17294287253 1
1.0%
1366.50221356131 1
1.0%
1299.10004874348 1
1.0%
1295.34929270799 1
1.0%
1268.25747910176 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.5089
Minimum0
Maximum6256.49
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:59.029870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117.1025
median250.63
Q3432.645
95-th percentile837.663
Maximum6256.49
Range6256.49
Interquartile range (IQR)315.5425

Descriptive statistics

Standard deviation784.12515
Coefficient of variation (CV)1.9241915
Kurtosis35.6438
Mean407.5089
Median Absolute Deviation (MAD)150.17
Skewness5.5735981
Sum40750.89
Variance614852.25
MonotonicityNot monotonic
2023-12-10T20:04:59.287245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
131.22 1
 
1.0%
549.53 1
 
1.0%
190.6 1
 
1.0%
410.63 1
 
1.0%
74.35 1
 
1.0%
144.64 1
 
1.0%
156.18 1
 
1.0%
244.18 1
 
1.0%
99.4 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
5.01 1
 
1.0%
24.17 1
 
1.0%
44.45 1
 
1.0%
47.02 1
 
1.0%
58.62 1
 
1.0%
60.2 1
 
1.0%
67.76 1
 
1.0%
74.35 1
 
1.0%
88.22 1
 
1.0%
ValueCountFrequency (%)
6256.49 1
1.0%
3834.35 1
1.0%
3111.02 1
1.0%
1441.64 1
1.0%
1416.84 1
1.0%
807.18 1
1.0%
715.04 1
1.0%
662.23 1
1.0%
627.71 1
1.0%
591.06 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.013634
Minimum0
Maximum70.128783
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:59.577230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.81760131
median1.7426888
Q32.7710572
95-th percentile5.9660622
Maximum70.128783
Range70.128783
Interquartile range (IQR)1.9534559

Descriptive statistics

Standard deviation7.4833325
Coefficient of variation (CV)2.483159
Kurtosis67.121942
Mean3.013634
Median Absolute Deviation (MAD)1.0150176
Skewness7.7249672
Sum301.3634
Variance56.000266
MonotonicityNot monotonic
2023-12-10T20:04:59.838390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.80413472124681 1
 
1.0%
4.11313005893443 1
 
1.0%
1.42660562523048 1
 
1.0%
3.07348933834412 1
 
1.0%
0.556495950870335 1
 
1.0%
1.08260355526409 1
 
1.0%
1.16897831347584 1
 
1.0%
1.27810042859039 1
 
1.0%
0.520284964378263 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0561569194584044 1
 
1.0%
0.148499318143646 1
 
1.0%
0.225562304348091 1
 
1.0%
0.288788828620908 1
 
1.0%
0.332700000217705 1
 
1.0%
0.47596913369275 1
 
1.0%
0.520284964378263 1
 
1.0%
0.550181994183227 1
 
1.0%
0.556495950870335 1
 
1.0%
ValueCountFrequency (%)
70.1287834375873 1
1.0%
23.064699525396 1
1.0%
18.7136650325342 1
1.0%
9.65788689701816 1
1.0%
8.70499685224011 1
1.0%
5.82190772948453 1
1.0%
5.14614836178604 1
1.0%
4.99594821792524 1
1.0%
4.79915244217736 1
1.0%
4.79022186318628 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43945157
Minimum0
Maximum10.22626
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:00.121234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.11922356
median0.25412088
Q30.40407873
95-th percentile0.86997803
Maximum10.22626
Range10.22626
Interquartile range (IQR)0.28485517

Descriptive statistics

Standard deviation1.0912281
Coefficient of variation (CV)2.483159
Kurtosis67.121942
Mean0.43945157
Median Absolute Deviation (MAD)0.14801104
Skewness7.7249672
Sum43.945157
Variance1.1907788
MonotonicityNot monotonic
2023-12-10T20:05:00.389304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.117259846950432 1
 
1.0%
0.599781340681399 1
 
1.0%
0.208029267799528 1
 
1.0%
0.448179738911439 1
 
1.0%
0.0811488775492912 1
 
1.0%
0.157866491576725 1
 
1.0%
0.170461757843286 1
 
1.0%
0.186374069772062 1
 
1.0%
0.0758685499850232 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0081888663763831 1
 
1.0%
0.0216543408183751 1
 
1.0%
0.0328917538153735 1
 
1.0%
0.0421115180707249 1
 
1.0%
0.0485146954548217 1
 
1.0%
0.0694063647486894 1
 
1.0%
0.0758685499850232 1
 
1.0%
0.0802281691465574 1
 
1.0%
0.0811488775492912 1
 
1.0%
ValueCountFrequency (%)
10.2262595998358 1
1.0%
3.36332092725983 1
1.0%
2.7288480892782 1
1.0%
1.40832413958326 1
1.0%
1.26937262081533 1
1.0%
0.848957259624864 1
1.0%
0.750417253904448 1
1.0%
0.72851489673009 1
1.0%
0.699817911094513 1
1.0%
0.698515643827594 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18247491
Minimum0
Maximum4.2462831
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:00.646350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.049505588
median0.10551944
Q30.16778693
95-th percentile0.36124381
Maximum4.2462831
Range4.2462831
Interquartile range (IQR)0.11828134

Descriptive statistics

Standard deviation0.45311421
Coefficient of variation (CV)2.483159
Kurtosis67.121942
Mean0.18247491
Median Absolute Deviation (MAD)0.061459105
Skewness7.7249672
Sum18.247491
Variance0.20531249
MonotonicityNot monotonic
2023-12-10T20:05:01.306348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0486901883825316 1
 
1.0%
0.249049160693937 1
 
1.0%
0.0863806708064424 1
 
1.0%
0.186099133542757 1
 
1.0%
0.0336957128775393 1
 
1.0%
0.0655514177620349 1
 
1.0%
0.0707813912200954 1
 
1.0%
0.0773887123582615 1
 
1.0%
0.0315031452551855 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0034002896718262 1
 
1.0%
0.0089916025064566 1
 
1.0%
0.0136577501263443 1
 
1.0%
0.0174861028840053 1
 
1.0%
0.0201449150962559 1
 
1.0%
0.0288198310201523 1
 
1.0%
0.0315031452551855 1
 
1.0%
0.0333134041270133 1
 
1.0%
0.0336957128775393 1
 
1.0%
ValueCountFrequency (%)
4.24628309957762 1
1.0%
1.39656270921465 1
1.0%
1.13310848504205 1
1.0%
0.584783022008904 1
1.0%
0.527085730047497 1
1.0%
0.352515289546009 1
1.0%
0.311598201842739 1
1.0%
0.302503614696538 1
1.0%
0.290587671831648 1
1.0%
0.2900469271505 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.2869
Minimum0
Maximum2752.82
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:01.574517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151.3
median110.28
Q3190.35
95-th percentile368.5655
Maximum2752.82
Range2752.82
Interquartile range (IQR)139.05

Descriptive statistics

Standard deviation345.01604
Coefficient of variation (CV)1.9243795
Kurtosis35.642154
Mean179.2869
Median Absolute Deviation (MAD)66.075
Skewness5.5734288
Sum17928.69
Variance119036.07
MonotonicityNot monotonic
2023-12-10T20:05:01.818944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
57.73 1
 
1.0%
241.79 1
 
1.0%
83.81 1
 
1.0%
180.7 1
 
1.0%
32.7 1
 
1.0%
63.67 1
 
1.0%
68.67 1
 
1.0%
107.4 1
 
1.0%
43.74 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
2.18 1
 
1.0%
10.64 1
 
1.0%
19.57 1
 
1.0%
20.63 1
 
1.0%
25.74 1
 
1.0%
26.47 1
 
1.0%
29.75 1
 
1.0%
32.7 1
 
1.0%
38.75 1
 
1.0%
ValueCountFrequency (%)
2752.82 1
1.0%
1687.07 1
1.0%
1368.83 1
1.0%
634.38 1
1.0%
623.46 1
1.0%
355.15 1
1.0%
314.58 1
1.0%
291.4 1
1.0%
276.21 1
1.0%
260.07 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3258776
Minimum0
Maximum30.856266
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:02.072384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.35966062
median0.76657663
Q31.2193962
95-th percentile2.6249419
Maximum30.856266
Range30.856266
Interquartile range (IQR)0.85973555

Descriptive statistics

Standard deviation3.2926502
Coefficient of variation (CV)2.4833743
Kurtosis67.120678
Mean1.3258776
Median Absolute Deviation (MAD)0.44673904
Skewness7.7248663
Sum132.58776
Variance10.841545
MonotonicityNot monotonic
2023-12-10T20:05:02.417517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.353777605986727 1
 
1.0%
1.80975327452506 1
 
1.0%
0.627302295123642 1
 
1.0%
1.3525059626398 1
 
1.0%
0.244753430981304 1
 
1.0%
0.476558133045249 1
 
1.0%
0.513982205060738 1
 
1.0%
0.562159005776916 1
 
1.0%
0.228946321347135 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0244355457922798 1
 
1.0%
0.0653716485332393 1
 
1.0%
0.0989653411038096 1
 
1.0%
0.126980735774011 1
 
1.0%
0.146477817868627 1
 
1.0%
0.208997705582589 1
 
1.0%
0.228946321347135 1
 
1.0%
0.241557177198214 1
 
1.0%
0.244753430981304 1
 
1.0%
ValueCountFrequency (%)
30.8562656733503 1
1.0%
10.1482031187319 1
1.0%
8.23389952699878 1
1.0%
4.24986147008295 1
1.0%
3.83050827016291 1
1.0%
2.56149099893429 1
1.0%
2.2640990342122 1
1.0%
2.19785404539001 1
1.0%
2.11165630500637 1
1.0%
2.10744572852028 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19334099
Minimum0
Maximum4.499496
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:02.682857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.052446124
median0.11178308
Q30.17781375
95-th percentile0.38277203
Maximum4.499496
Range4.499496
Interquartile range (IQR)0.12536762

Descriptive statistics

Standard deviation0.48013803
Coefficient of variation (CV)2.4833743
Kurtosis67.120678
Mean0.19334099
Median Absolute Deviation (MAD)0.065144
Skewness7.7248663
Sum19.334099
Variance0.23053253
MonotonicityNot monotonic
2023-12-10T20:05:02.926843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0515882560924284 1
 
1.0%
0.263900297278321 1
 
1.0%
0.0914739398440632 1
 
1.0%
0.197223970049185 1
 
1.0%
0.0356902259026473 1
 
1.0%
0.0694922533095276 1
 
1.0%
0.0749494743955592 1
 
1.0%
0.0819746707081639 1
 
1.0%
0.0333852150537718 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.0035632193015 1
 
1.0%
0.0095325687342785 1
 
1.0%
0.0144312394983232 1
 
1.0%
0.0185164764673104 1
 
1.0%
0.021359563330728 1
 
1.0%
0.0304762850329455 1
 
1.0%
0.0333852150537718 1
 
1.0%
0.03522414451166 1
 
1.0%
0.0356902259026473 1
 
1.0%
ValueCountFrequency (%)
4.49949603557588 1
1.0%
1.47982261315535 1
1.0%
1.2006766687603 1
1.0%
0.619719671810457 1
1.0%
0.558569107431699 1
1.0%
0.373519554079492 1
1.0%
0.330153516839449 1
1.0%
0.320493596622997 1
1.0%
0.307924143299073 1
1.0%
0.307310152208666 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.080281607
Minimum0
Maximum1.8683404
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:05:03.190475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.021777375
median0.046416054
Q30.073834182
95-th percentile0.15893968
Maximum1.8683404
Range1.8683404
Interquartile range (IQR)0.052056807

Descriptive statistics

Standard deviation0.19936928
Coefficient of variation (CV)2.4833743
Kurtosis67.120678
Mean0.080281607
Median Absolute Deviation (MAD)0.027049955
Skewness7.7248663
Sum8.0281607
Variance0.039748109
MonotonicityNot monotonic
2023-12-10T20:05:03.464234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.0214211596961099 1
 
1.0%
0.109580180452727 1
 
1.0%
0.0379830221421193 1
 
1.0%
0.0818939518086262 1
 
1.0%
0.0148197688109689 1
 
1.0%
0.0288554948071678 1
 
1.0%
0.0311215145030346 1
 
1.0%
0.0340386096620415 1
 
1.0%
0.013862651644485 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.001479567162591 1
 
1.0%
0.0039582395808315 1
 
1.0%
0.0059923306062629 1
 
1.0%
0.0076886568661066 1
 
1.0%
0.0088692010896226 1
 
1.0%
0.0126547671521447 1
 
1.0%
0.013862651644485 1
 
1.0%
0.0146262363160957 1
 
1.0%
0.0148197688109689 1
 
1.0%
ValueCountFrequency (%)
1.86834040207517 1
1.0%
0.614471566193688 1
1.0%
0.498560886005267 1
1.0%
0.257328218904864 1
1.0%
0.231936470776808 1
1.0%
0.155097741687975 1
1.0%
0.137090720720993 1
1.0%
0.133079600569198 1
1.0%
0.127860345503429 1
1.0%
0.127605395982049 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-양산JC8.3202011010103.0335.306944129.074722-3.15276서1.2929824046.7924.7993023.6162631.5015922713.6116.6293862.4249161.006906304.911.8685320.2724710.11313920.150.1234820.0180060.0074771377734.228442.9501831231.160675511.218859131.220.8041350.117260.0486957.730.3537780.0515880.021421
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320201101096.0335.306944129.074722-3.15276서1.2929825934.7536.3689875.3033672.2021354820.7829.5424224.307911.788787506.683.1050070.4527760.188008169.621.0394550.1515750.0629391918438.9711756.4653741714.341259711.851508291.31.7851280.2603090.108089128.150.7853210.1145160.047551
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320201101089.1635.306944129.074722-3.15276서1.2929824718.6628.9166164.2166541.7508955286.8432.3985034.7243871.961723539.543.3063770.482140.2002302.771.8554170.2705590.1123451516996.929296.3717071355.60758562.893353339.442.0801360.3033280.125952149.340.9151770.1334520.055414
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202011010107.0835.306944129.0747223.071416서1.2929824045.0424.7885773.6146991.5009432791.5417.1069522.4945551.035822291.161.784270.2601840.10803726.320.1612930.023520.0097661471304.149016.3598881314.775936545.938696134.150.822090.1198780.04977759.010.3616220.0527320.021896
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320201101094.835.306944129.0747223.071416서1.2929825623.8934.4639935.0255792.0867884501.1827.5838684.0223111.670197488.492.9935360.4365210.181258154.040.9439790.1376520.0571581787641.6410954.9208341597.459115663.318154250.181.5331380.2235640.092831110.060.6744630.0983510.040839
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320201101084.1735.306944129.0747223.071416서1.2929824312.3226.4265073.8535441.6001194764.4929.1974694.2576081.767901503.563.0858870.4499880.18685259.491.5901910.2318840.0962861341646.38221.7983041198.912055497.82816265.611.6276960.2373520.098557116.830.7159510.1044010.043351
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202011010100.5635.681944129.1811110.22545서1.2655173301.4820.6710253.0142731.2516262262.5414.1660772.0657140.857753243.491.5245250.2223080.0923122.760.1425040.020780.0086291127064.17056.7050191029.016816427.282006117.050.7328660.1068670.04437551.440.3220730.0469650.019501
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420201101093.0835.681944129.1811110.22545서1.2655174990.531.2462144.5563591.8919524779.7229.9264914.3639151.812043466.092.9182540.4255430.1767173.711.0876220.1585980.0658551687783.610567.4477621540.957348639.856741268.211.67930.2448770.101681118.030.7390020.1077620.044746
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420201101082.2735.681944129.1811110.22545서1.2655174365.1627.3308743.9854191.65487911756.4573.60876810.7337154.4569951099.116.8816811.0034950.416684703.024.4017060.6418620.2665221378627.048631.7755591258.695408522.652196430.162.6932920.3927390.163078189.261.1849830.1727960.07175
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202011010112.6135.681944129.1811110.19158서1.2655172775.4417.3774162.5339951.0521992027.3912.6937711.851020.768605183.661.1499210.1676830.06962713.130.0822090.0119880.0049781157667.127248.3147821056.957571438.883937156.650.9808070.1430220.05938868.850.4310790.062860.026102
기본키도로종류지점주소방향차선측정구간장비이정(km)측정일측정시간평균 속도(km/hr)위도(°)경도(°)기울기(°)풍향풍속(m/s)CO(g/km)CO_100M(g/km)CO_300M(g/km)CO_500M(g/km)NOX(g/km)NOX_100M(g/km)NOX_300M(g/km)NOX_500M(g/km)HC(g/km)HC_100M(g/km)HC_300M(g/km)HC_500M(g/km)PM(g/km)PM_100M(g/km)PM_300M(g/km)PM_500M(g/km)CO2(g/km)CO2_100M(g/km)CO2_300M(g/km)CO2_500M(g/km)TSP(g/km)TSP_100M(g/km)TSP_300M(g/km)TSP_500M(g/km)PM10(g/km)PM10_100M(g/km)PM10_300M(g/km)PM10_500M(g/km)
9091도로공사A-0010-3801E-10경기 화성시 동탄면 송리E3오산IC-동탄JC380.120201101085.6837.158778127.088333-0.660004남1.36896610315.3559.7052988.7062953.6151437896.545.7049826.6647532.767427997.975.7762550.84230.349751284.421.6462240.2400540.0996792985542.2717280.3338632519.8380951046.320584387.812.2446460.3273170.135913170.660.9877810.1440390.05981
9192도로공사A-0010-3801E-10경기 화성시 동탄면 송리E4오산IC-동탄JC380.120201101077.4937.158778127.088333-0.660004남1.36896611672.567.5604899.8517484.09077313132.8276.01282911.0842784.6025611604.29.2851181.3539670.562212993.455.7500940.8384850.3481673321640.3719225.6713772803.5094411164.110362807.184.6719620.6812710.282886355.152.055610.2997510.124467
9293도로공사A-0010-3801E-10경기 화성시 동탄면 송리E5오산IC-동탄JC380.120201101081.437.158778127.088333-0.660004남1.3689667789.7945.0873446.5746882.7300295518.9131.9434794.6580351.934171724.34.1922520.6113190.25384170.760.988360.1441240.0598452228515.7212898.6603361880.897438781.011173203.831.1797690.1720350.07143589.640.5188370.0756570.031415
9394도로공사A-0010-3801E-10경기 화성시 동탄면 송리S1동탄JC-오산IC380.1202011010102.5237.158778127.0883330.671977남1.3689664372.8325.3099623.6907281.53251310827.8462.6715939.1388443.794752618.983.5826590.5224270.216929593.313.4340810.5007620.2079331394307.398070.2582741176.814314488.652443511.492.9605070.4317040.179258225.021.3024170.189920.078861
9495도로공사A-0010-3801E-10경기 화성시 동탄면 송리S2동탄JC-오산IC380.120201101084.7237.158778127.0883330.671977남1.36896612324.2571.33282210.4018344.3191878079.6646.7651136.8193422.8316181011.525.8546830.8537370.3545152.00.8797770.128290.053273618810.8820945.6958023054.3253751268.257479301.791.7467620.2547150.105766132.760.7684160.1120510.046527
9596도로공사A-0010-3801E-10경기 화성시 동탄면 송리S3동탄JC-오산IC380.120201101081.2937.158778127.0883330.671977남1.36896611179.3164.7059039.4354893.9179298000.5346.3071086.7525562.8038861005.265.818450.8484530.352306267.661.5492170.2259090.0938053283557.219005.2457952771.366731150.763639371.92.1525590.3138890.130337163.670.9473230.138140.05736
9697도로공사A-0010-3801E-10경기 화성시 동탄면 송리S4동탄JC-오산IC380.120201101077.1937.158778127.0883330.671977남1.36896610412.3160.2665038.7881313.64912411488.7166.4967129.6966274.0263621314.887.6105321.1097770.460816660.513.8230350.5574790.2314843031556.817546.6661972558.6749811062.446951531.863.0784080.4488970.186397233.991.3543350.1974910.082005
9798도로공사A-0010-3801E-10경기 화성시 동탄면 송리S5동탄JC-오산IC380.120201101082.2637.158778127.0883330.671977남1.3689665708.1433.0387434.8177472.0004894978.3328.8145994.2017781.744718635.73.6794350.5365390.222789376.342.1782580.3176360.1318931655765.249583.5776411397.488279580.283612351.012.0316480.2962570.123016154.390.893610.1303070.054108
9899도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E1기흥IC-수원신갈IC388.02020110100.037.226111127.108333-0.55276남1.4241380.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
99100도로공사A-0010-3880E-10경기 용인시 기흥구 기흥동E2기흥IC-수원신갈IC388.020201101020.6737.226111127.108333-0.55276남1.424138135426.14753.480227109.8733545.62306937138.66206.63105330.13117712.51146721615.26120.26238817.5367997.28186255.870.3108480.0453280.01882211903793.4166229.9978229657.7342124010.21245117.120.6516290.0950210.03945650.880.2830850.041280.017141