Overview

Dataset statistics

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

Variable types

Numeric35
Categorical9

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
기본키 has unique valuesUnique
평균 속도(km/hr) has 11 (11.0%) zerosZeros
CO(g/km) has 11 (11.0%) zerosZeros
CO_100M(g/km) has 11 (11.0%) zerosZeros
CO_300M(g/km) has 11 (11.0%) zerosZeros
CO_500M(g/km) has 11 (11.0%) zerosZeros
NOX(g/km) has 11 (11.0%) zerosZeros
NOX_100M(g/km) has 11 (11.0%) zerosZeros
NOX_300M(g/km) has 11 (11.0%) zerosZeros
NOX_500M(g/km) has 11 (11.0%) zerosZeros
HC(g/km) has 11 (11.0%) zerosZeros
HC_100M(g/km) has 11 (11.0%) zerosZeros
HC_300M(g/km) has 11 (11.0%) zerosZeros
HC_500M(g/km) has 11 (11.0%) zerosZeros
PM(g/km) has 11 (11.0%) zerosZeros
PM_100M(g/km) has 11 (11.0%) zerosZeros
PM_300M(g/km) has 11 (11.0%) zerosZeros
PM_500M(g/km) has 11 (11.0%) zerosZeros
CO2(g/km) has 11 (11.0%) zerosZeros
CO2_100M(g/km) has 11 (11.0%) zerosZeros
CO2_300M(g/km) has 11 (11.0%) zerosZeros
CO2_500M(g/km) has 11 (11.0%) zerosZeros
TSP(g/km) has 11 (11.0%) zerosZeros
TSP_100M(g/km) has 11 (11.0%) zerosZeros
TSP_300M(g/km) has 11 (11.0%) zerosZeros
TSP_500M(g/km) has 11 (11.0%) zerosZeros
PM10(g/km) has 11 (11.0%) zerosZeros
PM10_100M(g/km) has 11 (11.0%) zerosZeros
PM10_300M(g/km) has 11 (11.0%) zerosZeros
PM10_500M(g/km) has 11 (11.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:03:38.563519
Analysis finished2023-12-10 11:03:39.140179
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
2023-12-10T20:03:39.403936image/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
2023-12-10T20:03:39.800241image/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

2023-12-10T20:03:40.302850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:40.480664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

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

Length

Max length15
Median length14
Mean length14.2
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A-0010-3452S-10 10
 
10.0%
A-0010-3613E-10 10
 
10.0%
A-0010-3352E-9 9
 
9.0%
A-0010-1185E-8 8
 
8.0%
A-0010-2583E-7 7
 
7.0%
A-0010-0083E-6 6
 
6.0%
A-0010-0538E-6 6
 
6.0%
A-0010-1073E-6 6
 
6.0%
A-0010-1880E-6 6
 
6.0%
A-0010-2695C-6 6
 
6.0%
Other values (5) 26
26.0%

Length

2023-12-10T20:03:40.672308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-3452s-10 10
 
10.0%
a-0010-3613e-10 10
 
10.0%
a-0010-3352e-9 9
 
9.0%
a-0010-1185e-8 8
 
8.0%
a-0010-2583e-7 7
 
7.0%
a-0010-0083e-6 6
 
6.0%
a-0010-0538e-6 6
 
6.0%
a-0010-1073e-6 6
 
6.0%
a-0010-1880e-6 6
 
6.0%
a-0010-2695c-6 6
 
6.0%
Other values (5) 26
26.0%

주소
Categorical

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

Length

Max length18
Median length10
Mean length11.7
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충남 천안시 서북구 성거읍 송남리 10
10.0%
경기 안성시 원곡면 10
10.0%
충북 청원군 남이면 9
 
9.0%
충청 천안시 구성동 9
 
9.0%
대구 동구 안심3동 8
 
8.0%
충북 옥천군 옥천읍 삼양리 7
 
7.0%
경남 양산시 동면 6
 
6.0%
울산 울주군 두서면 활천리 6
 
6.0%
경북 경산시 진량읍 6
 
6.0%
경북 김천시 아포읍 봉산리 6
 
6.0%
Other values (4) 23
23.0%

Length

2023-12-10T20:03:40.915699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충북 27
 
7.8%
청원군 20
 
5.8%
천안시 19
 
5.5%
남이면 14
 
4.1%
경북 12
 
3.5%
대전 12
 
3.5%
대덕구 12
 
3.5%
충남 10
 
2.9%
서북구 10
 
2.9%
성거읍 10
 
2.9%
Other values (28) 198
57.6%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
S
53 
E
47 

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 53
53.0%
E 47
47.0%

Length

2023-12-10T20:03:41.129664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:41.331190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 53
53.0%
e 47
47.0%

차선
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
27 
2
27 
3
27 
4
12 
5
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
27.0%
2 27
27.0%
3 27
27.0%
4 12
12.0%
5 7
 
7.0%

Length

2023-12-10T20:03:41.544199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:41.731353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
27.0%
2 27
27.0%
3 27
27.0%
4 12
12.0%
5 7
 
7.0%

측정구간
Categorical

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

Length

Max length10
Median length9
Mean length9.28
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 (%)
안성JC-안성IC 5
 
5.0%
북천안IC-천안IC 5
 
5.0%
천안IC-북천안IC 5
 
5.0%
천안IC-천안JC 5
 
5.0%
남이JC-청주JC 5
 
5.0%
청주JC-남이JC 5
 
5.0%
안성IC-안성JC 5
 
5.0%
옥천IC-금강IC 4
 
4.0%
청주JC-남청주IC 4
 
4.0%
천안JC-천안IC 4
 
4.0%
Other values (17) 53
53.0%

Length

2023-12-10T20:03:41.952760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안성jc-안성ic 5
 
5.0%
천안ic-북천안ic 5
 
5.0%
천안ic-천안jc 5
 
5.0%
남이jc-청주jc 5
 
5.0%
청주jc-남이jc 5
 
5.0%
안성ic-안성jc 5
 
5.0%
북천안ic-천안ic 5
 
5.0%
동대구jc-경산ic 4
 
4.0%
경산ic-동대구jc 4
 
4.0%
천안jc-천안ic 4
 
4.0%
Other values (17) 53
53.0%

장비이정(km)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.5868
Minimum8.3
Maximum361.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:42.155395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.3
Q1118.5
median276.1
Q3335.2
95-th percentile361.3
Maximum361.3
Range353
Interquartile range (IQR)216.7

Descriptive statistics

Standard deviation110.00748
Coefficient of variation (CV)0.45347676
Kurtosis-0.62198834
Mean242.5868
Median Absolute Deviation (MAD)69.1
Skewness-0.85121911
Sum24258.68
Variance12101.645
MonotonicityIncreasing
2023-12-10T20:03:42.387122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
345.2 10
 
10.0%
361.3 10
 
10.0%
335.2 9
 
9.0%
118.5 8
 
8.0%
258.3 7
 
7.0%
8.3 6
 
6.0%
53.4 6
 
6.0%
107.31 6
 
6.0%
188.02 6
 
6.0%
269.5 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
8.3 6
6.0%
53.4 6
6.0%
107.31 6
6.0%
118.5 8
8.0%
188.02 6
6.0%
258.3 7
7.0%
269.5 6
6.0%
276.1 6
6.0%
295.3 4
4.0%
297.9 5
5.0%
ValueCountFrequency (%)
361.3 10
10.0%
345.2 10
10.0%
335.2 9
9.0%
306.8 6
6.0%
298.7 5
5.0%
297.9 5
5.0%
295.3 4
 
4.0%
276.1 6
6.0%
269.5 6
6.0%
258.3 7
7.0%

측정일
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20210101 100
100.0%

Length

2023-12-10T20:03:42.637318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:42.818066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210101 100
100.0%

측정시간
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:03:43.046145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:43.234768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

평균 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.3208
Minimum0
Maximum125.2
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:43.447864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182.72
median92.48
Q398.075
95-th percentile114.207
Maximum125.2
Range125.2
Interquartile range (IQR)15.355

Descriptive statistics

Standard deviation31.510543
Coefficient of variation (CV)0.37818339
Kurtosis2.8600209
Mean83.3208
Median Absolute Deviation (MAD)7.97
Skewness-1.9235869
Sum8332.08
Variance992.91431
MonotonicityNot monotonic
2023-12-10T20:03:43.765095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
114.06 2
 
2.0%
96.18 1
 
1.0%
93.2 1
 
1.0%
95.36 1
 
1.0%
111.16 1
 
1.0%
97.38 1
 
1.0%
92.7 1
 
1.0%
94.87 1
 
1.0%
93.28 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
0.0 11
11.0%
61.05 1
 
1.0%
69.41 1
 
1.0%
71.47 1
 
1.0%
72.59 1
 
1.0%
74.39 1
 
1.0%
77.76 1
 
1.0%
78.48 1
 
1.0%
79.34 1
 
1.0%
79.43 1
 
1.0%
ValueCountFrequency (%)
125.2 1
1.0%
122.66 1
1.0%
120.52 1
1.0%
117.23 1
1.0%
117.0 1
1.0%
114.06 2
2.0%
113.72 1
1.0%
111.16 1
1.0%
110.24 1
1.0%
106.53 1
1.0%

위도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.375861
Minimum35.306944
Maximum37.008889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:44.092826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.306944
5-th percentile35.306944
Q135.904732
median36.38961
Q336.780833
95-th percentile37.008889
Maximum37.008889
Range1.7019444
Interquartile range (IQR)0.87610092

Descriptive statistics

Standard deviation0.47324885
Coefficient of variation (CV)0.01300997
Kurtosis-0.42349153
Mean36.375861
Median Absolute Deviation (MAD)0.39122333
Skewness-0.62330577
Sum3637.5861
Variance0.22396448
MonotonicityIncreasing
2023-12-10T20:03:44.369954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
36.86890278 10
 
10.0%
37.00888889 10
 
10.0%
36.78083333 9
 
9.0%
35.90473241 8
 
8.0%
36.30722222 7
 
7.0%
35.30694444 6
 
6.0%
35.68194444 6
 
6.0%
35.88230609 6
 
6.0%
36.15572222 6
 
6.0%
36.3475 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
35.30694444 6
6.0%
35.68194444 6
6.0%
35.88230609 6
6.0%
35.90473241 8
8.0%
36.15572222 6
6.0%
36.30722222 7
7.0%
36.3475 6
6.0%
36.38961 6
6.0%
36.54 4
4.0%
36.57694444 5
5.0%
ValueCountFrequency (%)
37.00888889 10
10.0%
36.86890278 10
10.0%
36.78083333 9
9.0%
36.64019722 6
6.0%
36.58444444 5
5.0%
36.57694444 5
5.0%
36.54 4
 
4.0%
36.38961 6
6.0%
36.3475 6
6.0%
36.30722222 7
7.0%

경도(°)
Real number (ℝ)

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.79001
Minimum127.14917
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:44.718585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.14917
5-th percentile127.14917
Q1127.18672
median127.42778
Q3128.56147
95-th percentile129.18111
Maximum129.18111
Range2.0319444
Interquartile range (IQR)1.3747494

Descriptive statistics

Standard deviation0.70924442
Coefficient of variation (CV)0.0055500774
Kurtosis-0.79158283
Mean127.79001
Median Absolute Deviation (MAD)0.2511111
Skewness0.91233757
Sum12779.001
Variance0.50302764
MonotonicityNot monotonic
2023-12-10T20:03:44.980003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
127.1867222 10
 
10.0%
127.1491667 10
 
10.0%
127.1766667 9
 
9.0%
128.5614716 8
 
8.0%
127.5744444 7
 
7.0%
129.0747222 6
 
6.0%
129.1811111 6
 
6.0%
128.8488161 6
 
6.0%
128.2132778 6
 
6.0%
127.4691667 6
 
6.0%
Other values (5) 26
26.0%
ValueCountFrequency (%)
127.1491667 10
10.0%
127.1766667 9
9.0%
127.1867222 10
10.0%
127.3781278 6
6.0%
127.423508 6
6.0%
127.4263889 5
5.0%
127.4277778 5
5.0%
127.4338889 4
 
4.0%
127.4691667 6
6.0%
127.5744444 7
7.0%
ValueCountFrequency (%)
129.1811111 6
6.0%
129.0747222 6
6.0%
128.8488161 6
6.0%
128.5614716 8
8.0%
128.2132778 6
6.0%
127.5744444 7
7.0%
127.4691667 6
6.0%
127.4338889 4
4.0%
127.4277778 5
5.0%
127.4263889 5
5.0%

기울기(°)
Real number (ℝ)

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03454729
Minimum-13.24576
Maximum12.47809
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size1.0 KiB
2023-12-10T20:03:45.224140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-13.24576
5-th percentile-3.15276
Q1-1.252479
median0.166426
Q31.172023
95-th percentile3.071416
Maximum12.47809
Range25.72385
Interquartile range (IQR)2.424502

Descriptive statistics

Standard deviation3.4502267
Coefficient of variation (CV)-99.869677
Kurtosis9.4780715
Mean-0.03454729
Median Absolute Deviation (MAD)1.066093
Skewness-0.26131262
Sum-3.454729
Variance11.904064
MonotonicityNot monotonic
2023-12-10T20:03:45.497826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-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%
-1.758683 5
 
5.0%
-0.807188 4
 
4.0%
0.166426 4
 
4.0%
-0.131348 4
 
4.0%
Other values (17) 53
53.0%
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%
-1.252479 3
3.0%
-0.807188 4
4.0%
-0.688696 3
3.0%
-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%
1.172023 3
3.0%
0.688696 3
3.0%
0.61369 5
5.0%
0.409237 3
3.0%

풍향
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
남
31 
서
26 
남동
20 
남서
17 
북서
6 

Length

Max length2
Median length1
Mean length1.43
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 31
31.0%
서 26
26.0%
남동 20
20.0%
남서 17
17.0%
북서 6
 
6.0%

Length

2023-12-10T20:03:45.800955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:03:46.015368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 31
31.0%
서 26
26.0%
남동 20
20.0%
남서 17
17.0%
북서 6
 
6.0%

풍속(m/s)
Real number (ℝ)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.722925
Minimum1.3147541
Maximum2.3918033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:46.226167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.3147541
5-th percentile1.3147541
Q11.5229508
median1.5967742
Q31.8737705
95-th percentile2.3918033
Maximum2.3918033
Range1.0770492
Interquartile range (IQR)0.35081967

Descriptive statistics

Standard deviation0.31146188
Coefficient of variation (CV)0.18077507
Kurtosis-0.46741774
Mean1.722925
Median Absolute Deviation (MAD)0.17382337
Skewness0.75504557
Sum172.2925
Variance0.097008501
MonotonicityNot monotonic
2023-12-10T20:03:46.456166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.55245901639344 10
10.0%
1.59677419354839 10
10.0%
1.74918032786885 9
 
9.0%
1.57213114754098 9
 
9.0%
1.52295081967213 8
 
8.0%
1.42295081967213 7
 
7.0%
1.985 6
 
6.0%
2.20491803278689 6
 
6.0%
2.39180327868853 6
 
6.0%
2.21803278688525 6
 
6.0%
Other values (4) 23
23.0%
ValueCountFrequency (%)
1.31475409836065 6
6.0%
1.33606557377049 6
6.0%
1.42295081967213 7
7.0%
1.52295081967213 8
8.0%
1.55245901639344 10
10.0%
1.57213114754098 9
9.0%
1.59677419354839 10
10.0%
1.74918032786885 9
9.0%
1.78196721311475 6
6.0%
1.87377049180328 5
5.0%
ValueCountFrequency (%)
2.39180327868853 6
6.0%
2.21803278688525 6
6.0%
2.20491803278689 6
6.0%
1.985 6
6.0%
1.87377049180328 5
5.0%
1.78196721311475 6
6.0%
1.74918032786885 9
9.0%
1.59677419354839 10
10.0%
1.57213114754098 9
9.0%
1.55245901639344 10
10.0%

CO(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3476.3167
Minimum0
Maximum12968.71
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:46.770078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1882.645
median2890.18
Q35266.065
95-th percentile9555.4885
Maximum12968.71
Range12968.71
Interquartile range (IQR)4383.42

Descriptive statistics

Standard deviation3051.4823
Coefficient of variation (CV)0.87779179
Kurtosis0.21336672
Mean3476.3167
Median Absolute Deviation (MAD)2143.63
Skewness0.88729656
Sum347631.67
Variance9311544.1
MonotonicityNot monotonic
2023-12-10T20:03:47.524128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
9587.0 1
 
1.0%
7006.97 1
 
1.0%
1578.71 1
 
1.0%
18.98 1
 
1.0%
7710.1 1
 
1.0%
206.94 1
 
1.0%
5082.68 1
 
1.0%
5383.62 1
 
1.0%
807.7 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
18.98 1
 
1.0%
81.54 1
 
1.0%
116.82 1
 
1.0%
181.59 1
 
1.0%
206.94 1
 
1.0%
267.5 1
 
1.0%
501.57 1
 
1.0%
521.15 1
 
1.0%
646.49 1
 
1.0%
ValueCountFrequency (%)
12968.71 1
1.0%
11648.82 1
1.0%
10189.21 1
1.0%
10081.86 1
1.0%
9587.0 1
1.0%
9553.83 1
1.0%
9361.28 1
1.0%
8770.77 1
1.0%
7710.1 1
1.0%
7501.37 1
1.0%

CO_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.890674
Minimum0
Maximum66.190864
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:47.825787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5402232
median11.923583
Q329.205993
95-th percentile45.775095
Maximum66.190864
Range66.190864
Interquartile range (IQR)25.66577

Descriptive statistics

Standard deviation15.712607
Coefficient of variation (CV)0.93025339
Kurtosis0.11397183
Mean16.890674
Median Absolute Deviation (MAD)10.154892
Skewness0.93041561
Sum1689.0674
Variance246.88602
MonotonicityNot monotonic
2023-12-10T20:03:48.132156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
40.54037348738 1
 
1.0%
35.3152999561116 1
 
1.0%
7.95673696244067 1
 
1.0%
0.0843952322057851 1
 
1.0%
34.2832286527831 1
 
1.0%
0.920165930066658 1
 
1.0%
22.6003139529874 1
 
1.0%
23.9384541626822 1
 
1.0%
3.59146623038001 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0843952322057851 1
 
1.0%
0.41617115573348 1
 
1.0%
0.692804726031675 1
 
1.0%
0.90109345854846 1
 
1.0%
0.920165930066658 1
 
1.0%
1.3273996374344 1
 
1.0%
2.46972973078714 1
 
1.0%
2.47324194137 1
 
1.0%
2.55995789282857 1
 
1.0%
ValueCountFrequency (%)
66.1908637364771 1
1.0%
59.4542909287623 1
1.0%
52.0046026699918 1
1.0%
48.1515365671178 1
1.0%
47.7789393763149 1
1.0%
45.6696298198705 1
1.0%
44.7650415449171 1
1.0%
41.3850922442706 1
1.0%
40.54037348738 1
1.0%
38.9618741367707 1
1.0%

CO_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4630175
Minimum0
Maximum9.6520276
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:48.510514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5162394
median1.7387106
Q34.2588514
95-th percentile6.6749769
Maximum9.6520276
Range9.6520276
Interquartile range (IQR)3.742612

Descriptive statistics

Standard deviation2.2912304
Coefficient of variation (CV)0.93025339
Kurtosis0.11397183
Mean2.4630175
Median Absolute Deviation (MAD)1.480798
Skewness0.93041561
Sum246.30175
Variance5.2497365
MonotonicityNot monotonic
2023-12-10T20:03:48.828899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
5.91164373933866 1
 
1.0%
5.14971752673674 1
 
1.0%
1.16026050584412 1
 
1.0%
0.0123066095149487 1
 
1.0%
4.99921970606984 1
 
1.0%
0.134179650844229 1
 
1.0%
3.29560369069753 1
 
1.0%
3.49073283018271 1
 
1.0%
0.523711723141413 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0123066095149487 1
 
1.0%
0.0606865550474277 1
 
1.0%
0.101025579414169 1
 
1.0%
0.131398481181859 1
 
1.0%
0.134179650844229 1
 
1.0%
0.19356293692465 1
 
1.0%
0.3601388207588 1
 
1.0%
0.360650975332557 1
 
1.0%
0.373295994789531 1
 
1.0%
ValueCountFrequency (%)
9.65202763440184 1
1.0%
8.66969286445397 1
1.0%
7.58337078188375 1
1.0%
7.02151226542475 1
1.0%
6.96717971589875 1
1.0%
6.65959777816542 1
1.0%
6.52768967884876 1
1.0%
6.03482159689414 1
1.0%
5.91164373933866 1
1.0%
5.68146515436622 1
1.0%

CO_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0227268
Minimum0
Maximum4.0078429
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:49.113052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.21435977
median0.72197046
Q31.7684168
95-th percentile2.7716724
Maximum4.0078429
Range4.0078429
Interquartile range (IQR)1.554057

Descriptive statistics

Standard deviation0.95139505
Coefficient of variation (CV)0.93025339
Kurtosis0.11397183
Mean1.0227268
Median Absolute Deviation (MAD)0.61487659
Skewness0.93041561
Sum102.27268
Variance0.90515254
MonotonicityNot monotonic
2023-12-10T20:03:49.376343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2.45471109509879 1
 
1.0%
2.13833399083003 1
 
1.0%
0.481778750967004 1
 
1.0%
0.0051101135743968 1
 
1.0%
2.07584229030334 1
 
1.0%
0.0557158536926075 1
 
1.0%
1.36844426039597 1
 
1.0%
1.44946836888275 1
 
1.0%
0.217462525502653 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0051101135743968 1
 
1.0%
0.0251990760212674 1
 
1.0%
0.0419491805682607 1
 
1.0%
0.0545610195502617 1
 
1.0%
0.0557158536926075 1
 
1.0%
0.0803737690935349 1
 
1.0%
0.149541616185301 1
 
1.0%
0.149754279798002 1
 
1.0%
0.155004912435456 1
 
1.0%
ValueCountFrequency (%)
4.00784288922947 1
1.0%
3.59994482141354 1
1.0%
3.14886776289745 1
1.0%
2.91556542009051 1
1.0%
2.89300473848872 1
1.0%
2.76528648811755 1
1.0%
2.7105138581684 1
1.0%
2.50585863831082 1
1.0%
2.45471109509879 1
1.0%
2.35913329114114 1
1.0%

NOX(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5526.9544
Minimum0
Maximum47594.55
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:49.669063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1922.195
median3654.685
Q36544.7675
95-th percentile13557.052
Maximum47594.55
Range47594.55
Interquartile range (IQR)5622.5725

Descriptive statistics

Standard deviation7391.0543
Coefficient of variation (CV)1.3372743
Kurtosis12.963033
Mean5526.9544
Median Absolute Deviation (MAD)2879.875
Skewness3.2230411
Sum552695.44
Variance54627683
MonotonicityNot monotonic
2023-12-10T20:03:49.996585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
10356.71 1
 
1.0%
5018.25 1
 
1.0%
5647.22 1
 
1.0%
124.18 1
 
1.0%
7738.3 1
 
1.0%
228.94 1
 
1.0%
6235.55 1
 
1.0%
4418.02 1
 
1.0%
2825.44 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
82.26 1
 
1.0%
124.18 1
 
1.0%
197.24 1
 
1.0%
228.08 1
 
1.0%
228.94 1
 
1.0%
493.17 1
 
1.0%
528.59 1
 
1.0%
554.85 1
 
1.0%
626.24 1
 
1.0%
ValueCountFrequency (%)
47594.55 1
1.0%
31595.42 1
1.0%
29288.18 1
1.0%
28569.51 1
1.0%
27525.33 1
1.0%
12821.88 1
1.0%
12373.23 1
1.0%
11848.3 1
1.0%
11711.69 1
1.0%
11333.69 1
1.0%

NOX_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.517869
Minimum0
Maximum282.26099
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:50.388978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.655574
median16.229285
Q330.690555
95-th percentile79.262851
Maximum282.26099
Range282.26099
Interquartile range (IQR)27.034981

Descriptive statistics

Standard deviation41.102839
Coefficient of variation (CV)1.4936781
Kurtosis17.114747
Mean27.517869
Median Absolute Deviation (MAD)13.129946
Skewness3.6968636
Sum2751.7869
Variance1689.4434
MonotonicityNot monotonic
2023-12-10T20:03:50.789948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
43.7952322416275 1
 
1.0%
25.2921025785407 1
 
1.0%
28.4621267421086 1
 
1.0%
0.55217070259823 1
 
1.0%
34.4086209366716 1
 
1.0%
1.01798969763922 1
 
1.0%
27.726590631232 1
 
1.0%
19.6448800732246 1
 
1.0%
12.5634175386467 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.419845956225608 1
 
1.0%
0.55217070259823 1
 
1.0%
0.978752540140417 1
 
1.0%
1.01798969763922 1
 
1.0%
1.13178807217211 1
 
1.0%
1.88830609360965 1
 
1.0%
2.07461140240659 1
 
1.0%
2.45563027818776 1
 
1.0%
2.83536408899424 1
 
1.0%
ValueCountFrequency (%)
282.260992752533 1
1.0%
173.694483143866 1
1.0%
161.259534673592 1
1.0%
145.815624177572 1
1.0%
140.486244763864 1
1.0%
76.0405672026281 1
1.0%
68.3043259236883 1
1.0%
60.4724148206646 1
1.0%
59.0272036761956 1
1.0%
56.2991896548363 1
1.0%

NOX_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0126872
Minimum0
Maximum41.159622
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:51.225145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.53305999
median2.366573
Q34.475332
95-th percentile11.5582
Maximum41.159622
Range41.159622
Interquartile range (IQR)3.942272

Descriptive statistics

Standard deviation5.9936631
Coefficient of variation (CV)1.4936781
Kurtosis17.114747
Mean4.0126872
Median Absolute Deviation (MAD)1.9146237
Skewness3.6968636
Sum401.26872
Variance35.923997
MonotonicityNot monotonic
2023-12-10T20:03:51.565349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
6.38627097440765 1
 
1.0%
3.68812339406999 1
 
1.0%
4.15037995186767 1
 
1.0%
0.0805181648875829 1
 
1.0%
5.01750455266213 1
 
1.0%
0.148444424781472 1
 
1.0%
4.04312323292614 1
 
1.0%
2.86463893410081 1
 
1.0%
1.8320119487838 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0612224186681556 1
 
1.0%
0.0805181648875829 1
 
1.0%
0.142722817491656 1
 
1.0%
0.148444424781472 1
 
1.0%
0.165038634219717 1
 
1.0%
0.275354959413916 1
 
1.0%
0.302522213131938 1
 
1.0%
0.358082822416477 1
 
1.0%
0.413456042053147 1
 
1.0%
ValueCountFrequency (%)
41.1596215605774 1
1.0%
25.3283286636405 1
1.0%
23.51505022169 1
1.0%
21.263001487528 1
1.0%
20.4858652715675 1
1.0%
11.0883226860037 1
1.0%
9.96021511351437 1
1.0%
8.81815685759674 1
1.0%
8.6074145116516 1
1.0%
8.20961237953218 1
1.0%

NOX_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6662012
Minimum0
Maximum17.090844
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:51.825661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.22134424
median0.98267982
Q31.8583067
95-th percentile4.799349
Maximum17.090844
Range17.090844
Interquartile range (IQR)1.6369624

Descriptive statistics

Standard deviation2.4887683
Coefficient of variation (CV)1.4936781
Kurtosis17.114747
Mean1.6662012
Median Absolute Deviation (MAD)0.79501545
Skewness3.6968636
Sum166.62012
Variance6.1939675
MonotonicityNot monotonic
2023-12-10T20:03:52.129525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2.65179210865971 1
 
1.0%
1.53143149599367 1
 
1.0%
1.72337579291693 1
 
1.0%
0.0334338200036146 1
 
1.0%
2.08343476674159 1
 
1.0%
0.0616390622614553 1
 
1.0%
1.67883923597631 1
 
1.0%
1.18949336006095 1
 
1.0%
0.760712291762061 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0254215844188062 1
 
1.0%
0.0334338200036146 1
 
1.0%
0.0592632606205937 1
 
1.0%
0.0616390622614553 1
 
1.0%
0.0685295299246857 1
 
1.0%
0.114336537140418 1
 
1.0%
0.125617284436001 1
 
1.0%
0.14868789729341 1
 
1.0%
0.171680699736658 1
 
1.0%
ValueCountFrequency (%)
17.0908437940003 1
1.0%
10.5171644524544 1
1.0%
9.76423093578456 1
1.0%
8.8291054007893 1
1.0%
8.50641259725867 1
1.0%
4.6042403641891 1
1.0%
4.13581258052089 1
1.0%
3.66159200910943 1
1.0%
3.57408477802304 1
1.0%
3.40890410232205 1
1.0%

HC(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523.1251
Minimum0
Maximum3015.86
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:52.414922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187.2225
median349.045
Q3729.38
95-th percentile1308.7135
Maximum3015.86
Range3015.86
Interquartile range (IQR)642.1575

Descriptive statistics

Standard deviation612.69264
Coefficient of variation (CV)1.1712163
Kurtosis6.3447742
Mean523.1251
Median Absolute Deviation (MAD)282.765
Skewness2.3017188
Sum52312.51
Variance375392.28
MonotonicityNot monotonic
2023-12-10T20:03:52.721527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1177.76 1
 
1.0%
574.98 1
 
1.0%
264.52 1
 
1.0%
6.88 1
 
1.0%
958.78 1
 
1.0%
26.01 1
 
1.0%
788.89 1
 
1.0%
509.99 1
 
1.0%
133.75 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
6.88 1
 
1.0%
8.28 1
 
1.0%
17.34 1
 
1.0%
25.91 1
 
1.0%
26.01 1
 
1.0%
42.39 1
 
1.0%
47.81 1
 
1.0%
52.36 1
 
1.0%
52.69 1
 
1.0%
ValueCountFrequency (%)
3015.86 1
1.0%
2963.22 1
1.0%
2816.74 1
1.0%
2491.08 1
1.0%
1872.32 1
1.0%
1279.05 1
1.0%
1254.28 1
1.0%
1239.79 1
1.0%
1237.5 1
1.0%
1215.79 1
1.0%

HC_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5771314
Minimum0
Maximum15.392616
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:53.220148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.40442549
median1.6477261
Q33.3629236
95-th percentile7.4049599
Maximum15.392616
Range15.392616
Interquartile range (IQR)2.9584981

Descriptive statistics

Standard deviation3.2469704
Coefficient of variation (CV)1.2599165
Kurtosis6.6793942
Mean2.5771314
Median Absolute Deviation (MAD)1.3477439
Skewness2.437075
Sum257.71314
Variance10.542817
MonotonicityNot monotonic
2023-12-10T20:03:53.653224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
4.98037240831299 1
 
1.0%
2.89791324477842 1
 
1.0%
1.33318726131133 1
 
1.0%
0.0305921600408747 1
 
1.0%
4.26324872151015 1
 
1.0%
0.115654372480109 1
 
1.0%
3.50782690910547 1
 
1.0%
2.26768832837873 1
 
1.0%
0.594724041492295 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0305921600408747 1
 
1.0%
0.0422602056594704 1
 
1.0%
0.0860452699555609 1
 
1.0%
0.115654372480109 1
 
1.0%
0.128571680769814 1
 
1.0%
0.170793837067438 1
 
1.0%
0.174551729038074 1
 
1.0%
0.225986574626357 1
 
1.0%
0.243822494917484 1
 
1.0%
ValueCountFrequency (%)
15.3926164058177 1
1.0%
15.1239476587266 1
1.0%
14.7734291809877 1
1.0%
14.3763299141614 1
1.0%
11.1038533182985 1
1.0%
7.21028126914955 1
1.0%
6.24857188379393 1
1.0%
6.23703022785713 1
1.0%
6.18486251866648 1
1.0%
5.7939447702215 1
1.0%

HC_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37580026
Minimum0
Maximum2.244569
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:54.022774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.058973789
median0.24027331
Q30.49038537
95-th percentile1.0797997
Maximum2.244569
Range2.244569
Interquartile range (IQR)0.43141158

Descriptive statistics

Standard deviation0.47347695
Coefficient of variation (CV)1.2599165
Kurtosis6.6793942
Mean0.37580026
Median Absolute Deviation (MAD)0.19652956
Skewness2.437075
Sum37.580026
Variance0.22418042
MonotonicityNot monotonic
2023-12-10T20:03:54.446977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.726243614315584 1
 
1.0%
0.422577031658918 1
 
1.0%
0.19440689487359 1
 
1.0%
0.004460983849465 1
 
1.0%
0.621671816161352 1
 
1.0%
0.0168648531867131 1
 
1.0%
0.511515341425071 1
 
1.0%
0.33067691182975 1
 
1.0%
0.0867233415502836 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.004460983849465 1
 
1.0%
0.0061624316383701 1
 
1.0%
0.0125472199113026 1
 
1.0%
0.0168648531867131 1
 
1.0%
0.0187484698905334 1
 
1.0%
0.0249053531273375 1
 
1.0%
0.0254533332427213 1
 
1.0%
0.0329536213937538 1
 
1.0%
0.0355544757385517 1
 
1.0%
ValueCountFrequency (%)
2.24456897112258 1
1.0%
2.20539138640715 1
1.0%
2.15427838013225 1
1.0%
2.09637290979018 1
1.0%
1.61917662085891 1
1.0%
1.05141148087616 1
1.0%
0.911173915754304 1
1.0%
0.909490898253698 1
1.0%
0.901883743091978 1
1.0%
0.844879668847065 1
1.0%

HC_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15604476
Minimum0
Maximum0.93201969
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:54.719813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024487879
median0.09976947
Q30.20362432
95-th percentile0.44836876
Maximum0.93201969
Range0.93201969
Interquartile range (IQR)0.17913644

Descriptive statistics

Standard deviation0.19660338
Coefficient of variation (CV)1.2599165
Kurtosis6.6793942
Mean0.15604476
Median Absolute Deviation (MAD)0.081605612
Skewness2.437075
Sum15.604476
Variance0.038652888
MonotonicityNot monotonic
2023-12-10T20:03:55.018713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.301560502697773 1
 
1.0%
0.175468037974681 1
 
1.0%
0.0807242085030132 1
 
1.0%
0.0018523488615305 1
 
1.0%
0.25813881416545 1
 
1.0%
0.0070028479488968 1
 
1.0%
0.212398182176288 1
 
1.0%
0.137308051728486 1
 
1.0%
0.0360104157310634 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0018523488615305 1
 
1.0%
0.002558846571696 1
 
1.0%
0.0052100230133902 1
 
1.0%
0.0070028479488968 1
 
1.0%
0.0077849882512653 1
 
1.0%
0.0103415309420977 1
 
1.0%
0.0105690705111984 1
 
1.0%
0.0136834396025329 1
 
1.0%
0.0147634008279408 1
 
1.0%
ValueCountFrequency (%)
0.932019688612945 1
1.0%
0.915751852437331 1
1.0%
0.894528032271725 1
1.0%
0.87048375511583 1
1.0%
0.672335984947491 1
1.0%
0.436581015605938 1
1.0%
0.378349714425944 1
1.0%
0.37765086958445 1
1.0%
0.374492125756004 1
1.0%
0.35082213823905 1
1.0%

PM(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375.0994
Minimum0
Maximum2830.68
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:55.282776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.585
median166.76
Q3465.595
95-th percentile1688.449
Maximum2830.68
Range2830.68
Interquartile range (IQR)432.01

Descriptive statistics

Standard deviation534.1148
Coefficient of variation (CV)1.4239287
Kurtosis6.0029153
Mean375.0994
Median Absolute Deviation (MAD)164.57
Skewness2.3705666
Sum37509.94
Variance285278.62
MonotonicityNot monotonic
2023-12-10T20:03:55.528937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1959.5 1
 
1.0%
89.16 1
 
1.0%
332.97 1
 
1.0%
7.31 1
 
1.0%
1528.08 1
 
1.0%
39.71 1
 
1.0%
948.26 1
 
1.0%
215.17 1
 
1.0%
166.37 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
1.98 1
 
1.0%
2.4 1
 
1.0%
3.4 1
 
1.0%
6.54 1
 
1.0%
7.31 1
 
1.0%
8.9 1
 
1.0%
10.18 1
 
1.0%
12.71 1
 
1.0%
13.29 1
 
1.0%
ValueCountFrequency (%)
2830.68 1
1.0%
2015.9 1
1.0%
1994.97 1
1.0%
1959.5 1
1.0%
1773.17 1
1.0%
1683.99 1
1.0%
1638.34 1
1.0%
1528.08 1
1.0%
964.53 1
1.0%
948.26 1
1.0%

PM_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8244021
Minimum0
Maximum16.787438
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:56.237562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17490636
median0.83132504
Q32.1091503
95-th percentile8.3735561
Maximum16.787438
Range16.787438
Interquartile range (IQR)1.9342439

Descriptive statistics

Standard deviation2.7715848
Coefficient of variation (CV)1.5191743
Kurtosis9.7190429
Mean1.8244021
Median Absolute Deviation (MAD)0.81635565
Skewness2.8258423
Sum182.44021
Variance7.6816825
MonotonicityNot monotonic
2023-12-10T20:03:56.573758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
8.28610220595818 1
 
1.0%
0.449368577871307 1
 
1.0%
1.67817693330876 1
 
1.0%
0.0325041700434294 1
 
1.0%
6.79466103419474 1
 
1.0%
0.176571900468479 1
 
1.0%
4.21647117447091 1
 
1.0%
0.956760912208577 1
 
1.0%
0.73977000959307 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0103015061158493 1
 
1.0%
0.0122493349737595 1
 
1.0%
0.0176894549464079 1
 
1.0%
0.0235021023047654 1
 
1.0%
0.0317938747103158 1
 
1.0%
0.0325041700434294 1
 
1.0%
0.0365827830982434 1
 
1.0%
0.050734858432131 1
 
1.0%
0.0659481913327223 1
 
1.0%
ValueCountFrequency (%)
16.7874377836273 1
1.0%
10.5158410893476 1
1.0%
10.1821065802504 1
1.0%
9.13178785996601 1
1.0%
8.59489900102555 1
1.0%
8.3619064420455 1
1.0%
8.28610220595818 1
1.0%
6.79466103419474 1
1.0%
4.78623092446581 1
1.0%
4.53300198889155 1
1.0%

PM_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2660364
Minimum0
Maximum2.4479634
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:56.865329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.025505046
median0.12122477
Q30.30755872
95-th percentile1.2210415
Maximum2.4479634
Range2.4479634
Interquartile range (IQR)0.28205367

Descriptive statistics

Standard deviation0.40415568
Coefficient of variation (CV)1.5191743
Kurtosis9.7190429
Mean0.2660364
Median Absolute Deviation (MAD)0.11904192
Skewness2.8258423
Sum26.60364
Variance0.16334181
MonotonicityNot monotonic
2023-12-10T20:03:57.226598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1.20828892325379 1
 
1.0%
0.0655274412026664 1
 
1.0%
0.244713684356795 1
 
1.0%
0.0047397953400566 1
 
1.0%
0.990805261728279 1
 
1.0%
0.0257479169567234 1
 
1.0%
0.614850660624089 1
 
1.0%
0.139515973094389 1
 
1.0%
0.107874110906323 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0015021774319488 1
 
1.0%
0.0017862120690928 1
 
1.0%
0.0025794966003161 1
 
1.0%
0.0034271035020068 1
 
1.0%
0.0046362192602657 1
 
1.0%
0.0047397953400566 1
 
1.0%
0.0053345433716252 1
 
1.0%
0.0073982152214238 1
 
1.0%
0.0096166408662751 1
 
1.0%
ValueCountFrequency (%)
2.44796342352423 1
1.0%
1.53343200350815 1
1.0%
1.48476645478252 1
1.0%
1.3316077748554 1
1.0%
1.25331802592982 1
1.0%
1.21934278386562 1
1.0%
1.20828892325379 1
1.0%
0.990805261728279 1
1.0%
0.697933680567973 1
1.0%
0.661007546868861 1
1.0%

PM_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11046716
Minimum0
Maximum1.0164758
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:57.500438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.010590543
median0.050336557
Q30.12770861
95-th percentile0.50701706
Maximum1.0164758
Range1.0164758
Interquartile range (IQR)0.11711806

Descriptive statistics

Standard deviation0.16781888
Coefficient of variation (CV)1.5191743
Kurtosis9.7190429
Mean0.11046716
Median Absolute Deviation (MAD)0.049430163
Skewness2.8258423
Sum11.046716
Variance0.028163176
MonotonicityNot monotonic
2023-12-10T20:03:57.971416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.501721747245862 1
 
1.0%
0.0272091729552724 1
 
1.0%
0.101613260642856 1
 
1.0%
0.0019681206653762 1
 
1.0%
0.411415297722043 1
 
1.0%
0.0106913914667703 1
 
1.0%
0.255306443522528 1
 
1.0%
0.0579316721708628 1
 
1.0%
0.0447929186181459 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0006237540304525 1
 
1.0%
0.0007416946584626 1
 
1.0%
0.0010710927795649 1
 
1.0%
0.0014230473555852 1
 
1.0%
0.0019251124322248 1
 
1.0%
0.0019681206653762 1
 
1.0%
0.0022150798287244 1
 
1.0%
0.0030719850161318 1
 
1.0%
0.0039931491261797 1
 
1.0%
ValueCountFrequency (%)
1.01647582991752 1
1.0%
0.636731968055324 1
1.0%
0.616524413663819 1
1.0%
0.552927835875143 1
1.0%
0.520419328293526 1
1.0%
0.506311677810685 1
1.0%
0.501721747245862 1
1.0%
0.411415297722043 1
1.0%
0.289805276649672 1
1.0%
0.274472317816727 1
1.0%

CO2(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1167580.7
Minimum0
Maximum4685885.7
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:58.271449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1348781.32
median981106.84
Q31703531.3
95-th percentile3130930.3
Maximum4685885.7
Range4685885.7
Interquartile range (IQR)1354750

Descriptive statistics

Standard deviation1026856.4
Coefficient of variation (CV)0.87947365
Kurtosis0.89652382
Mean1167580.7
Median Absolute Deviation (MAD)677240.25
Skewness1.0512674
Sum1.1675807 × 108
Variance1.0544341 × 1012
MonotonicityNot monotonic
2023-12-10T20:03:58.693135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
3566922.78 1
 
1.0%
2238654.83 1
 
1.0%
579167.73 1
 
1.0%
11520.48 1
 
1.0%
2466586.2 1
 
1.0%
75508.98 1
 
1.0%
1537350.38 1
 
1.0%
1741437.69 1
 
1.0%
298067.57 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
11520.48 1
 
1.0%
27579.68 1
 
1.0%
39270.81 1
 
1.0%
71008.94 1
 
1.0%
75508.98 1
 
1.0%
92703.82 1
 
1.0%
167757.93 1
 
1.0%
200136.09 1
 
1.0%
211156.74 1
 
1.0%
ValueCountFrequency (%)
4685885.69 1
1.0%
3896754.36 1
1.0%
3840756.01 1
1.0%
3566922.78 1
1.0%
3228956.19 1
1.0%
3125771.06 1
1.0%
3016260.45 1
1.0%
2991582.08 1
1.0%
2797494.87 1
1.0%
2477925.42 1
1.0%

CO2_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5675.6368
Minimum0
Maximum27789.794
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:58.928123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11344.6344
median3796.4989
Q39513.7562
95-th percentile15422.607
Maximum27789.794
Range27789.794
Interquartile range (IQR)8169.1218

Descriptive statistics

Standard deviation5421.934
Coefficient of variation (CV)0.95529966
Kurtosis2.0304247
Mean5675.6368
Median Absolute Deviation (MAD)3071.0886
Skewness1.3154955
Sum567563.68
Variance29397368
MonotonicityNot monotonic
2023-12-10T20:03:59.249870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
15083.381840184 1
 
1.0%
11282.8750258169 1
 
1.0%
2919.01950627022 1
 
1.0%
51.2262162656535 1
 
1.0%
10967.7615966589 1
 
1.0%
335.753314052792 1
 
1.0%
6835.88210230516 1
 
1.0%
7743.36344675743 1
 
1.0%
1325.36784948178 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
51.2262162656535 1
 
1.0%
140.763641162124 1
 
1.0%
232.896787905256 1
 
1.0%
335.753314052792 1
 
1.0%
352.363518544304 1
 
1.0%
460.018755352464 1
 
1.0%
846.311863659528 1
 
1.0%
856.217949614377 1
 
1.0%
1034.48276713812 1
 
1.0%
ValueCountFrequency (%)
27789.7941420664 1
1.0%
19888.6039442075 1
1.0%
19602.7945495709 1
1.0%
16590.6323145469 1
1.0%
15953.5903188431 1
1.0%
15394.660258397 1
1.0%
15268.7045830901 1
1.0%
15083.381840184 1
1.0%
14626.7884995308 1
1.0%
12488.8046439722 1
1.0%

CO2_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean827.62787
Minimum0
Maximum4052.3396
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:03:59.589345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1196.07613
median553.60982
Q31387.3068
95-th percentile2248.9422
Maximum4052.3396
Range4052.3396
Interquartile range (IQR)1191.2307

Descriptive statistics

Standard deviation790.63263
Coefficient of variation (CV)0.95529966
Kurtosis2.0304247
Mean827.62787
Median Absolute Deviation (MAD)447.82966
Skewness1.3154955
Sum82762.787
Variance625099.95
MonotonicityNot monotonic
2023-12-10T20:03:59.914538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2199.47603224069 1
 
1.0%
1645.28177148823 1
 
1.0%
425.654770906873 1
 
1.0%
7.469865584024 1
 
1.0%
1599.33156998741 1
 
1.0%
48.959933178718 1
 
1.0%
996.816165137931 1
 
1.0%
1129.14613516566 1
 
1.0%
193.26665927606 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
7.469865584024 1
 
1.0%
20.5263155323822 1
 
1.0%
33.9612766162794 1
 
1.0%
48.959933178718 1
 
1.0%
51.3820522403973 1
 
1.0%
67.0804622928379 1
 
1.0%
123.410166210933 1
 
1.0%
124.854683021677 1
 
1.0%
150.849463084239 1
 
1.0%
ValueCountFrequency (%)
4052.33964133551 1
1.0%
2900.17902838415 1
1.0%
2858.50197479279 1
1.0%
2419.26502439579 1
1.0%
2326.37083024708 1
1.0%
2244.86700804886 1
1.0%
2226.50000707405 1
1.0%
2199.47603224069 1
1.0%
2132.89506784636 1
1.0%
1821.1318109426 1
1.0%

CO2_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.65862
Minimum0
Maximum1682.6662
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:00.214989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q181.417332
median229.87721
Q3576.05594
95-th percentile933.8356
Maximum1682.6662
Range1682.6662
Interquartile range (IQR)494.63861

Descriptive statistics

Standard deviation328.29696
Coefficient of variation (CV)0.95529966
Kurtosis2.0304247
Mean343.65862
Median Absolute Deviation (MAD)185.95377
Skewness1.3154955
Sum34365.862
Variance107778.9
MonotonicityNot monotonic
2023-12-10T20:04:00.480487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
913.295600649487 1
 
1.0%
683.175711716307 1
 
1.0%
176.746017672527 1
 
1.0%
3.10173662969272 1
 
1.0%
664.095659801898 1
 
1.0%
20.3297926073163 1
 
1.0%
413.911224733519 1
 
1.0%
468.859029432842 1
 
1.0%
80.2507447599838 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
3.10173662969272 1
 
1.0%
8.52320889087844 1
 
1.0%
14.1018515643885 1
 
1.0%
20.3297926073163 1
 
1.0%
21.3355369986418 1
 
1.0%
27.854038963621 1
 
1.0%
51.2440054920925 1
 
1.0%
51.843816914894 1
 
1.0%
62.6377141535939 1
 
1.0%
ValueCountFrequency (%)
1682.66619527512 1
1.0%
1204.25078923038 1
1.0%
1186.945090448 1
1.0%
1004.55930012338 1
1.0%
965.98654115793 1
1.0%
932.143443457104 1
1.0%
924.516853786869 1
1.0%
913.295600649487 1
1.0%
885.648969826056 1
1.0%
756.194496669426 1
1.0%

TSP(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.6574
Minimum0
Maximum2648.41
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:00.746546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188.16
median236.845
Q3398.96
95-th percentile1442.7505
Maximum2648.41
Range2648.41
Interquartile range (IQR)310.8

Descriptive statistics

Standard deviation467.1097
Coefficient of variation (CV)1.2844774
Kurtosis7.3772415
Mean363.6574
Median Absolute Deviation (MAD)153.985
Skewness2.5411179
Sum36365.74
Variance218191.47
MonotonicityNot monotonic
2023-12-10T20:04:01.049086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
2648.41 1
 
1.0%
237.94 1
 
1.0%
310.69 1
 
1.0%
5.56 1
 
1.0%
1582.22 1
 
1.0%
47.54 1
 
1.0%
957.69 1
 
1.0%
304.48 1
 
1.0%
159.68 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
3.16 1
 
1.0%
5.56 1
 
1.0%
12.04 1
 
1.0%
21.97 1
 
1.0%
26.45 1
 
1.0%
34.9 1
 
1.0%
36.39 1
 
1.0%
38.85 1
 
1.0%
46.53 1
 
1.0%
ValueCountFrequency (%)
2648.41 1
1.0%
1934.84 1
1.0%
1807.17 1
1.0%
1717.99 1
1.0%
1582.22 1
1.0%
1435.41 1
1.0%
1270.29 1
1.0%
1088.76 1
1.0%
989.73 1
1.0%
957.69 1
1.0%

TSP_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7291706
Minimum0
Maximum11.47463
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:01.341841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.37146647
median1.054977
Q32.0330069
95-th percentile7.0499353
Maximum11.47463
Range11.47463
Interquartile range (IQR)1.6615404

Descriptive statistics

Standard deviation2.2551129
Coefficient of variation (CV)1.3041587
Kurtosis6.8668429
Mean1.7291706
Median Absolute Deviation (MAD)0.80797138
Skewness2.504034
Sum172.91706
Variance5.0855342
MonotonicityNot monotonic
2023-12-10T20:04:01.843973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
11.1992834617411 1
 
1.0%
1.1992234120536 1
 
1.0%
1.5658851890852 1
 
1.0%
0.0247227339865208 1
 
1.0%
7.03539643312104 1
 
1.0%
0.211388268654533 1
 
1.0%
4.25840199848042 1
 
1.0%
1.35388094320429 1
 
1.0%
0.710022691181232 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0161282910487834 1
 
1.0%
0.0247227339865208 1
 
1.0%
0.0714036029911092 1
 
1.0%
0.109020448726855 1
 
1.0%
0.13125129125286 1
 
1.0%
0.16622123486191 1
 
1.0%
0.18157705224401 1
 
1.0%
0.18932919573523 1
 
1.0%
0.198286109887733 1
 
1.0%
ValueCountFrequency (%)
11.474630167053 1
1.0%
11.1992834617411 1
1.0%
8.76843124648715 1
1.0%
8.18626572096571 1
1.0%
7.32617413111841 1
1.0%
7.03539643312104 1
1.0%
6.48341988492376 1
1.0%
4.58550825031919 1
1.0%
4.34603339626805 1
1.0%
4.25840199848042 1
1.0%

TSP_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25214964
Minimum0
Maximum1.6732437
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:02.202882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.054167666
median0.15383796
Q30.2964554
95-th percentile1.0280297
Maximum1.6732437
Range1.6732437
Interquartile range (IQR)0.24228773

Descriptive statistics

Standard deviation0.32884315
Coefficient of variation (CV)1.3041587
Kurtosis6.8668429
Mean0.25214964
Median Absolute Deviation (MAD)0.11781931
Skewness2.504034
Sum25.214964
Variance0.10813782
MonotonicityNot monotonic
2023-12-10T20:04:02.554613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1.63309235378136 1
 
1.0%
0.174872132792311 1
 
1.0%
0.228339173477528 1
 
1.0%
0.0036050974132304 1
 
1.0%
1.0259095735902 1
 
1.0%
0.0308248796807513 1
 
1.0%
0.620965061452643 1
 
1.0%
0.197424471291442 1
 
1.0%
0.10353632283177 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0023518458909721 1
 
1.0%
0.0036050974132304 1
 
1.0%
0.0104121552486441 1
 
1.0%
0.0158974868195685 1
 
1.0%
0.0191392137632037 1
 
1.0%
0.024238571031479 1
 
1.0%
0.026477773926775 1
 
1.0%
0.0276082003780901 1
 
1.0%
0.0289143078684396 1
 
1.0%
ValueCountFrequency (%)
1.67324372602047 1
1.0%
1.63309235378136 1
1.0%
1.27862269690864 1
1.0%
1.1937306525549 1
1.0%
1.06831111087354 1
1.0%
1.0259095735902 1
1.0%
0.945419720519953 1
1.0%
0.66866407010591 1
1.0%
0.633743572342831 1
1.0%
0.620965061452643 1
1.0%

TSP_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10470092
Minimum0
Maximum0.69478645
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:02.928227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.022492217
median0.063878638
Q30.12309814
95-th percentile0.4268721
Maximum0.69478645
Range0.69478645
Interquartile range (IQR)0.10060592

Descriptive statistics

Standard deviation0.13654661
Coefficient of variation (CV)1.3041587
Kurtosis6.8668429
Mean0.10470092
Median Absolute Deviation (MAD)0.048922497
Skewness2.504034
Sum10.470092
Variance0.018644977
MonotonicityNot monotonic
2023-12-10T20:04:03.330611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.678114260078293 1
 
1.0%
0.072612725582969 1
 
1.0%
0.0948140191282367 1
 
1.0%
0.0014969563473997 1
 
1.0%
0.425991775536472 1
 
1.0%
0.0127995152437739 1
 
1.0%
0.257845346104539 1
 
1.0%
0.0819772065928536 1
 
1.0%
0.0429917247397099 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0009765646336424 1
 
1.0%
0.0014969563473997 1
 
1.0%
0.0043234731556399 1
 
1.0%
0.0066011652597568 1
 
1.0%
0.0079472381028934 1
 
1.0%
0.0100646608394856 1
 
1.0%
0.0109944523549457 1
 
1.0%
0.0114638430142257 1
 
1.0%
0.0120061822838636 1
 
1.0%
ValueCountFrequency (%)
0.694786445220798 1
1.0%
0.678114260078293 1
1.0%
0.530926669288413 1
1.0%
0.495676669060212 1
1.0%
0.44359830404326 1
1.0%
0.425991775536472 1
1.0%
0.392569711541032 1
1.0%
0.277651560911977 1
1.0%
0.263151408824836 1
1.0%
0.257845346104539 1
1.0%

PM10(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.0009
Minimum0
Maximum1165.3
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:03.667804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q138.8175
median104.23
Q3175.535
95-th percentile634.847
Maximum1165.3
Range1165.3
Interquartile range (IQR)136.7175

Descriptive statistics

Standard deviation205.53649
Coefficient of variation (CV)1.2845959
Kurtosis7.376236
Mean160.0009
Median Absolute Deviation (MAD)67.78
Skewness2.5409201
Sum16000.09
Variance42245.251
MonotonicityNot monotonic
2023-12-10T20:04:04.507509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
1165.3 1
 
1.0%
104.7 1
 
1.0%
136.61 1
 
1.0%
2.44 1
 
1.0%
696.16 1
 
1.0%
20.85 1
 
1.0%
421.4 1
 
1.0%
133.99 1
 
1.0%
70.26 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
1.33 1
 
1.0%
2.44 1
 
1.0%
5.26 1
 
1.0%
9.65 1
 
1.0%
11.57 1
 
1.0%
15.29 1
 
1.0%
15.95 1
 
1.0%
16.97 1
 
1.0%
20.45 1
 
1.0%
ValueCountFrequency (%)
1165.3 1
1.0%
851.35 1
1.0%
795.14 1
1.0%
755.93 1
1.0%
696.16 1
1.0%
631.62 1
1.0%
558.95 1
1.0%
479.04 1
1.0%
435.46 1
1.0%
421.4 1
1.0%

PM10_100M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.76079496
Minimum0
Maximum5.0489583
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:04.806105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.16331283
median0.464203
Q30.89454419
95-th percentile3.1019107
Maximum5.0489583
Range5.0489583
Interquartile range (IQR)0.73123135

Descriptive statistics

Standard deviation0.99229291
Coefficient of variation (CV)1.3042843
Kurtosis6.8661618
Mean0.76079496
Median Absolute Deviation (MAD)0.35583819
Skewness2.503888
Sum76.079496
Variance0.98464521
MonotonicityNot monotonic
2023-12-10T20:04:05.094405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
4.92768303169332 1
 
1.0%
0.527690557459912 1
 
1.0%
0.688517736911162 1
 
1.0%
0.0108495451307753 1
 
1.0%
3.09549972878711 1
 
1.0%
0.0927102524494531 1
 
1.0%
1.87376980250358 1
 
1.0%
0.595791209865814 1
 
1.0%
0.312413541347654 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0067881731312917 1
 
1.0%
0.0108495451307753 1
 
1.0%
0.0311945973200361 1
 
1.0%
0.0478856317803438 1
 
1.0%
0.0574131357200599 1
 
1.0%
0.0730544649242651 1
 
1.0%
0.0795505194501694 1
 
1.0%
0.0829843548221192 1
 
1.0%
0.0866130060436248 1
 
1.0%
ValueCountFrequency (%)
5.04895825635222 1
1.0%
4.92768303169332 1
1.0%
3.85818324446419 1
1.0%
3.60188987498059 1
1.0%
3.22371873171917 1
1.0%
3.09549972878711 1
1.0%
2.85281907649287 1
1.0%
2.01749858165123 1
1.0%
1.91219721347978 1
1.0%
1.87376980250358 1
1.0%

PM10_300M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11093999
Minimum0
Maximum0.73624488
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:05.431840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.023814465
median0.067690614
Q30.13044346
95-th percentile0.45232417
Maximum0.73624488
Range0.73624488
Interquartile range (IQR)0.10662899

Descriptive statistics

Standard deviation0.14469729
Coefficient of variation (CV)1.3042843
Kurtosis6.8661618
Mean0.11093999
Median Absolute Deviation (MAD)0.051888732
Skewness2.503888
Sum11.093999
Variance0.020937306
MonotonicityNot monotonic
2023-12-10T20:04:05.741376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.718560389011301 1
 
1.0%
0.0769484420583128 1
 
1.0%
0.100400445745808 1
 
1.0%
0.0015820931094033 1
 
1.0%
0.451389319279592 1
 
1.0%
0.0135191152996143 1
 
1.0%
0.273235260779734 1
 
1.0%
0.0868789572659626 1
 
1.0%
0.0455565007650312 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0009898591882889 1
 
1.0%
0.0015820931094033 1
 
1.0%
0.004548831944175 1
 
1.0%
0.0069827377245714 1
 
1.0%
0.0083720492718437 1
 
1.0%
0.0106528858283634 1
 
1.0%
0.011600147946716 1
 
1.0%
0.0121008737573657 1
 
1.0%
0.0126300078385437 1
 
1.0%
ValueCountFrequency (%)
0.736244881306737 1
1.0%
0.718560389011301 1
1.0%
0.562604703912215 1
1.0%
0.525231710947231 1
1.0%
0.470086361283496 1
1.0%
0.451389319279592 1
1.0%
0.416001348341424 1
1.0%
0.294193956132542 1
1.0%
0.278838789903293 1
1.0%
0.273235260779734 1
1.0%

PM10_500M(g/km)
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.046065975
Minimum0
Maximum0.30571336
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:04:06.015901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0098885578
median0.028107394
Q30.054164463
95-th percentile0.18782004
Maximum0.30571336
Range0.30571336
Interquartile range (IQR)0.044275905

Descriptive statistics

Standard deviation0.060083127
Coefficient of variation (CV)1.3042843
Kurtosis6.8661618
Mean0.046065975
Median Absolute Deviation (MAD)0.021545927
Skewness2.503888
Sum4.6065975
Variance0.0036099821
MonotonicityNot monotonic
2023-12-10T20:04:06.273338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
0.298370172016128 1
 
1.0%
0.0319515523599935 1
 
1.0%
0.0416896042779247 1
 
1.0%
0.0006569376776358 1
 
1.0%
0.187431858058595 1
 
1.0%
0.0056135863027489 1
 
1.0%
0.113456367768748 1
 
1.0%
0.0360750325518144 1
 
1.0%
0.0189165742748749 1
 
1.0%
Other values (80) 80
80.0%
ValueCountFrequency (%)
0.0 11
11.0%
0.0004110224565647 1
 
1.0%
0.0006569376776358 1
 
1.0%
0.0018888263121815 1
 
1.0%
0.0028994649411312 1
 
1.0%
0.0034763533024755 1
 
1.0%
0.0044234324987638 1
 
1.0%
0.004816767235161 1
 
1.0%
0.0050246852453118 1
 
1.0%
0.0052443993142127 1
 
1.0%
ValueCountFrequency (%)
0.305713361383229 1
1.0%
0.298370172016128 1
1.0%
0.233612184654852 1
1.0%
0.218093674992689 1
1.0%
0.195195491740899 1
1.0%
0.187431858058595 1
1.0%
0.172737595561533 1
1.0%
0.122159115141527 1
1.0%
0.115783139427835 1
1.0%
0.113456367768748 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-양산JC8.320210101096.1835.306944129.074722-3.15276북서1.9854535.6418.105042.6400981.0962564907.1619.5880462.8563511.186052557.282.224510.3243810.134694936.543.7384130.545140.226361690895.886749.595838984.233803408.686611088.764.3460330.6337440.263151479.041.9121970.2788390.115783
12도로공사A-0010-0083E-6경남 양산시 동면E2노포JC-양산JC8.320210101095.9635.306944129.074722-3.15276북서1.9854365.4717.4257672.5410451.0551273496.113.9554792.0350040.845001372.411.4865590.2167720.090011127.930.5106620.0744650.030921407618.435618.829408819.344146340.21894223.30.8913530.1299780.05397198.240.3921470.0571830.023744
23도로공사A-0010-0083E-6경남 양산시 동면E3노포JC-양산JC8.320210101090.0235.306944129.074722-3.15276북서1.9853550.4214.172312.0666220.858133649.2414.5667722.1241430.882015385.221.5376930.2242280.093107217.020.8662850.1263230.0524531144460.884568.376139666.165846276.614215264.951.0576080.1542220.064038116.560.4652760.0678470.028172
34도로공사A-0010-0083E-6경남 양산시 동면S1양산JC-노포JC8.3202101010114.0635.306944129.0747223.071416북서1.9851897.537.5744231.1045110.458631410.75.631130.8211380.340964126.820.5062310.0738190.03065212.710.0507350.0073980.003072791677.883160.162484460.818516191.34717499.480.3970970.0579050.02404443.720.1745180.0254480.010567
45도로공사A-0010-0083E-6경남 양산시 동면S2양산JC-노포JC8.320210101097.6335.306944129.0747223.071416북서1.9853643.3214.5431412.1206980.8805843202.9212.7851841.864350.77414305.291.2186350.1777030.073788116.590.4653960.0678650.028181264325.575046.843336735.936481305.585303208.510.8323150.1213690.05039791.690.3660020.0533710.022161
56도로공사A-0010-0083E-6경남 양산시 동면S3양산JC-노포JC8.320210101098.835.306944129.0747223.071416북서1.9854162.116.613972.4226681.0059724749.0518.9569142.7643191.147837541.12.1599240.3149630.130783847.283.3821110.4931830.2047861533711.36122.157803892.74007370.695368989.733.9507330.57610.239216435.461.7382380.2534720.10525
67도로공사A-0010-0538E-6울산 울주군 두서면 활천리E1언양JC-활천IC53.4202101010101.2335.681944129.1811110.22545서2.2049181446.375.1976660.757930.3147181019.943.665250.5344710.22193104.560.3757460.0547920.02275110.180.0365830.0053350.002215525771.981889.410835275.516054114.40342963.230.2272230.0331340.01375827.770.0997940.0145520.006043
78도로공사A-0010-0538E-6울산 울주군 두서면 활천리E2언양JC-활천IC53.420210101093.3735.681944129.1811110.22545서2.2049183388.3912.1764971.7755910.7372842965.1610.655581.5538090.645193300.671.0804860.1575580.06542394.860.3408880.0497090.0206411149930.784132.38392602.588961250.214978172.630.6203620.0904620.03756375.930.2728620.0397890.016522
89도로공사A-0010-0538E-6울산 울주군 두서면 활천리E3언양JC-활천IC53.420210101081.9735.681944129.1811110.22545서2.2049182940.810.568041.5410440.6398938167.1829.3495264.2797821.777108729.682.6221730.3823680.158772499.01.7932030.2614870.108578965493.013469.589525505.939522210.082917315.41.1334190.1652770.068628138.870.4990420.0727710.030217
910도로공사A-0010-0538E-6울산 울주군 두서면 활천리S1활천IC-언양JC53.4202101010114.0635.681944129.1811110.19158서2.2049181296.74.6598130.6794990.282151944.33.393430.4948340.20547285.820.3084020.0449720.0186746.540.0235020.0034270.001423541115.151944.547953283.556212117.7419774.240.2667880.0389030.01615432.540.1169360.0170520.00708
기본키도로종류지점주소방향차선측정구간장비이정(km)측정일측정시간평균 속도(km/hr)위도(°)경도(°)기울기(°)풍향풍속(m/s)CO(g/km)CO_100M(g/km)CO_300M(g/km)CO_500M(g/km)NOX(g/km)NOX_100M(g/km)NOX_300M(g/km)NOX_500M(g/km)HC(g/km)HC_100M(g/km)HC_300M(g/km)HC_500M(g/km)PM(g/km)PM_100M(g/km)PM_300M(g/km)PM_500M(g/km)CO2(g/km)CO2_100M(g/km)CO2_300M(g/km)CO2_500M(g/km)TSP(g/km)TSP_100M(g/km)TSP_300M(g/km)TSP_500M(g/km)PM10(g/km)PM10_100M(g/km)PM10_300M(g/km)PM10_500M(g/km)
9091도로공사A-0010-3613E-10경기 안성시 원곡면E1안성IC-안성JC361.3202101010105.7137.008889127.1491671.293015남서1.596774181.590.9010930.1313980.054561197.240.9787530.1427230.05926317.340.0860450.0125470.0052116.510.0819270.0119470.00496171008.94352.36351951.38205221.33553726.450.1312510.0191390.00794711.570.0574130.0083720.003476
9192도로공사A-0010-3613E-10경기 안성시 원곡면E2안성IC-안성JC361.32021010100.037.008889127.1491671.293015남서1.5967740.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9293도로공사A-0010-3613E-10경기 안성시 원곡면E3안성IC-안성JC361.320210101095.6137.008889127.1491671.293015남서1.596774267.51.32740.1935630.080374228.081.1317880.1650390.0685325.910.1285720.0187480.00778513.290.0659480.0096170.00399392703.82460.01875567.08046227.85403921.970.109020.0158970.0066019.650.0478860.0069830.002899
9394도로공사A-0010-3613E-10경기 안성시 원곡면E4안성IC-안성JC361.32021010100.037.008889127.1491671.293015남서1.5967740.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
9495도로공사A-0010-3613E-10경기 안성시 원곡면E5안성IC-안성JC361.320210101082.8237.008889127.1491671.293015남서1.5967744971.5424.6699833.5974051.4937628094.6840.1677585.8573092.432149854.154.2384990.6180630.25664964.534.7862310.6979340.2898051577877.87829.8109151141.752004474.093405924.084.5855080.6686640.277652406.572.0174990.2941940.122159
9596도로공사A-0010-3613E-10경기 안성시 원곡면S1안성JC-안성IC361.3202101010113.7237.008889127.149167-1.30142남서1.5967741833.389.0976751.3266330.5508625935.329.4523934.2947821.783336286.311.4207390.2071740.086025345.871.7162910.2502710.103921684307.03395.696687495.164384205.608721318.711.5815160.2306180.09576140.210.6957560.1014560.042128
9697도로공사A-0010-3613E-10경기 안성시 원곡면S2안성JC-안성IC361.320210101099.4637.008889127.149167-1.30142남서1.5967746936.1634.4189025.0190042.0840574916.5524.3971093.5576141.47724520.232.5815070.3764380.1563174.680.370580.0540380.0224392382350.8711821.8006771723.868528715.807547261.771.2989660.1894170.078652115.180.5715510.0833440.034607
9798도로공사A-0010-3613E-10경기 안성시 원곡면S3안성JC-안성IC361.320210101089.1337.008889127.149167-1.30142남서1.5967747474.837.0917645.4087642.2458996527.532.3910324.7232971.96127761.853.7804840.5512740.228907269.441.3370260.1949670.0809572363813.1411729.8119811710.454631710.23765399.771.9837550.2892730.120116175.910.8729080.1272880.052854
9899도로공사A-0010-3613E-10경기 안성시 원곡면S4안성JC-안성IC361.320210101083.6637.008889127.149167-1.30142남서1.5967746719.533.3437834.8622292.0189596711.633.3045814.8565122.016585858.714.2611270.6213620.25801263.991.3099820.1910230.0793191970158.139776.4007011425.605958591.959008313.971.5579950.2271890.094336138.170.6856330.099980.041515
99100도로공사A-0010-3613E-10경기 안성시 원곡면S5안성JC-안성IC361.320210101078.4837.008889127.149167-1.30142남서1.5967745226.8825.9370423.7821691.5704824746.3923.5527343.4344871.426113568.082.818950.4110630.170687184.90.9175180.1337940.0555561488403.67385.8183141077.008494447.209747185.260.9193050.1340540.05566481.470.4042740.0589520.024479