Overview

Dataset statistics

Number of variables39
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.9 KiB
Average record size in memory347.3 B

Variable types

Numeric28
Categorical11

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
9종 차량 속도(km/hr) has constant value ""Constant
9종 차량수(대) has constant value ""Constant
11종 차량 속도(km/hr) is highly imbalanced (91.9%)Imbalance
11종 차량수(대) is highly imbalanced (91.9%)Imbalance
기본키 has unique valuesUnique
1종 차량 속도(km/hr) has 14 (14.0%) zerosZeros
2종 차량 속도(km/hr) has 62 (62.0%) zerosZeros
3종 차량 속도(km/hr) has 26 (26.0%) zerosZeros
4종 차량 속도(km/hr) has 39 (39.0%) zerosZeros
5종 차량 속도(km/hr) has 50 (50.0%) zerosZeros
6종 차량 속도(km/hr) has 61 (61.0%) zerosZeros
7종 차량 속도(km/hr) has 71 (71.0%) zerosZeros
8종 차량 속도(km/hr) has 87 (87.0%) zerosZeros
10종 차량 속도(km/hr) has 70 (70.0%) zerosZeros
12종 차량 속도(km/hr) has 79 (79.0%) zerosZeros
1종 차량수(대) has 14 (14.0%) zerosZeros
2종 차량수(대) has 62 (62.0%) zerosZeros
3종 차량수(대) has 26 (26.0%) zerosZeros
4종 차량수(대) has 39 (39.0%) zerosZeros
5종 차량수(대) has 50 (50.0%) zerosZeros
6종 차량수(대) has 61 (61.0%) zerosZeros
7종 차량수(대) has 71 (71.0%) zerosZeros
8종 차량수(대) has 87 (87.0%) zerosZeros
10종 차량수(대) has 70 (70.0%) zerosZeros
12종 차량수(대) has 79 (79.0%) zerosZeros
차량통과수(대) has 10 (10.0%) zerosZeros
평균 속도(km) has 10 (10.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:41:04.207078
Analysis finished2023-12-10 11:41:04.666511
Duration0.46 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
2023-12-10T20:41:04.797333image/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
2023-12-10T20:41:04.993396image/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

2023-12-10T20:41:05.162435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:05.293182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200501
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200501
2nd row20200501
3rd row20200501
4th row20200501
5th row20200501

Common Values

ValueCountFrequency (%)
20200501 100
100.0%

Length

2023-12-10T20:41:05.426670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:05.578065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200501 100
100.0%

지점
Categorical

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0100-1312S-8
8 
A-0100-1592S-6
8 
A-0550-0096E-8
7 
A-5510-0116E-6
 
6
A-0010-0083E-6
 
6
Other values (16)
65 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st rowA-0550-0096E-8
2nd rowA-0550-0096E-8
3rd rowA-0550-0096E-8
4th rowA-0550-0096E-8
5th rowA-0550-0096E-8

Common Values

ValueCountFrequency (%)
A-0100-1312S-8 8
 
8.0%
A-0100-1592S-6 8
 
8.0%
A-0550-0096E-8 7
 
7.0%
A-5510-0116E-6 6
 
6.0%
A-0010-0083E-6 6
 
6.0%
A-0100-1501S-6 6
 
6.0%
A-0550-0058E-6 6
 
6.0%
A-0351-1078E-4 4
 
4.0%
A-0351-0390S-4 4
 
4.0%
A-0351-0642S-4 4
 
4.0%
Other values (11) 41
41.0%

Length

2023-12-10T20:41:05.732091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0100-1312s-8 8
 
8.0%
a-0100-1592s-6 8
 
8.0%
a-0550-0096e-8 7
 
7.0%
a-5510-0116e-6 6
 
6.0%
a-0010-0083e-6 6
 
6.0%
a-0100-1501s-6 6
 
6.0%
a-0550-0058e-6 6
 
6.0%
a-5510-0085e-4 4
 
4.0%
a-0160-0058e-4 4
 
4.0%
a-0100-0407s-4 4
 
4.0%
Other values (11) 41
41.0%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
E
54 
S
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
E 54
54.0%
S 46
46.0%

Length

2023-12-10T20:41:05.921415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:06.091151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 54
54.0%
s 46
46.0%

차선
Real number (ℝ)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.96
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:06.235764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1363596
Coefficient of variation (CV)0.5797753
Kurtosis4.6361087
Mean1.96
Median Absolute Deviation (MAD)1
Skewness1.84978
Sum196
Variance1.2913131
MonotonicityNot monotonic
2023-12-10T20:41:06.402625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 40
40.0%
2 39
39.0%
3 13
 
13.0%
4 4
 
4.0%
5 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
ValueCountFrequency (%)
1 40
40.0%
2 39
39.0%
3 13
 
13.0%
4 4
 
4.0%
5 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
6 1
 
1.0%
5 2
 
2.0%
4 4
 
4.0%
3 13
 
13.0%
2 39
39.0%
1 40
40.0%

측정구간
Categorical

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
대감JC-대동JC
 
7
김해JC-북부산TG
 
5
동창원IC-창원JC
 
4
창원JC-동창원IC
 
4
서김해IC-냉정JC
 
3
Other values (35)
77 

Length

Max length11
Median length10.5
Mean length9.58
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row대감JC-대동JC
2nd row대감JC-대동JC
3rd row대감JC-대동JC
4th row대감JC-대동JC
5th row대감JC-대동JC

Common Values

ValueCountFrequency (%)
대감JC-대동JC 7
 
7.0%
김해JC-북부산TG 5
 
5.0%
동창원IC-창원JC 4
 
4.0%
창원JC-동창원IC 4
 
4.0%
서김해IC-냉정JC 3
 
3.0%
북부산TG-김해JC 3
 
3.0%
대동JC-물금IC 3
 
3.0%
초정IC-대동IC 3
 
3.0%
대동IC-초정IC 3
 
3.0%
물금IC-대동JC 3
 
3.0%
Other values (30) 62
62.0%

Length

2023-12-10T20:41:06.660256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대감jc-대동jc 7
 
7.0%
김해jc-북부산tg 5
 
5.0%
동창원ic-창원jc 4
 
4.0%
창원jc-동창원ic 4
 
4.0%
서김해ic-냉정jc 3
 
3.0%
북부산tg-김해jc 3
 
3.0%
대동jc-물금ic 3
 
3.0%
초정ic-대동ic 3
 
3.0%
대동ic-초정ic 3
 
3.0%
양산jc-노포jc 3
 
3.0%
Other values (30) 62
62.0%

장비이정(km)
Real number (ℝ)

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.2612
Minimum5.8
Maximum159.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:06.879910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile5.8
Q19.6
median39
Q3112.4
95-th percentile159.2
Maximum159.2
Range153.4
Interquartile range (IQR)102.8

Descriptive statistics

Standard deviation56.155749
Coefficient of variation (CV)0.99812568
Kurtosis-1.0309653
Mean56.2612
Median Absolute Deviation (MAD)30.6
Skewness0.78309506
Sum5626.12
Variance3153.4681
MonotonicityNot monotonic
2023-12-10T20:41:07.070722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5.8 10
 
10.0%
131.2 8
 
8.0%
159.2 8
 
8.0%
9.6 7
 
7.0%
8.3 6
 
6.0%
150.1 6
 
6.0%
11.6 6
 
6.0%
8.5 4
 
4.0%
40.7 4
 
4.0%
39.61 4
 
4.0%
Other values (10) 37
37.0%
ValueCountFrequency (%)
5.8 10
10.0%
6.23 4
 
4.0%
8.3 6
6.0%
8.5 4
 
4.0%
9.6 7
7.0%
11.6 6
6.0%
13.4 4
 
4.0%
16.5 4
 
4.0%
26.69 4
 
4.0%
39.0 4
 
4.0%
ValueCountFrequency (%)
159.2 8
8.0%
150.1 6
6.0%
131.2 8
8.0%
112.4 4
4.0%
107.8 4
4.0%
64.2 4
4.0%
52.4 4
4.0%
48.0 1
 
1.0%
40.7 4
4.0%
39.61 4
4.0%

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

2023-12-10T20:41:07.279954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:07.439697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.2679
Minimum0
Maximum128.5
Zeros14
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:07.622606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188.375
median96.5
Q3104.375
95-th percentile115.85
Maximum128.5
Range128.5
Interquartile range (IQR)16

Descriptive statistics

Standard deviation35.922951
Coefficient of variation (CV)0.42129514
Kurtosis1.7996173
Mean85.2679
Median Absolute Deviation (MAD)8.25
Skewness-1.783343
Sum8526.79
Variance1290.4584
MonotonicityNot monotonic
2023-12-10T20:41:07.874899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
14.0%
92.5 4
 
4.0%
89.75 3
 
3.0%
97.5 3
 
3.0%
114.25 3
 
3.0%
99.75 3
 
3.0%
99.0 3
 
3.0%
100.5 3
 
3.0%
97.0 2
 
2.0%
98.5 2
 
2.0%
Other values (56) 60
60.0%
ValueCountFrequency (%)
0.0 14
14.0%
72.25 1
 
1.0%
81.25 1
 
1.0%
82.44 1
 
1.0%
84.0 1
 
1.0%
85.0 1
 
1.0%
86.0 1
 
1.0%
86.5 2
 
2.0%
86.75 1
 
1.0%
87.4 1
 
1.0%
ValueCountFrequency (%)
128.5 1
 
1.0%
123.0 1
 
1.0%
119.0 1
 
1.0%
118.0 1
 
1.0%
117.75 1
 
1.0%
115.75 1
 
1.0%
114.25 3
3.0%
114.0 2
2.0%
113.75 1
 
1.0%
112.25 1
 
1.0%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.0073
Minimum0
Maximum113
Zeros62
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:08.121477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q398.5325
95-th percentile108
Maximum113
Range113
Interquartile range (IQR)98.5325

Descriptive statistics

Standard deviation49.062063
Coefficient of variation (CV)1.2908589
Kurtosis-1.7137783
Mean38.0073
Median Absolute Deviation (MAD)0
Skewness0.53336234
Sum3800.73
Variance2407.0861
MonotonicityNot monotonic
2023-12-10T20:41:08.320694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 62
62.0%
108.0 4
 
4.0%
106.0 4
 
4.0%
93.0 2
 
2.0%
96.0 2
 
2.0%
106.5 2
 
2.0%
99.5 2
 
2.0%
113.0 1
 
1.0%
100.5 1
 
1.0%
101.67 1
 
1.0%
Other values (19) 19
 
19.0%
ValueCountFrequency (%)
0.0 62
62.0%
69.0 1
 
1.0%
84.0 1
 
1.0%
87.1 1
 
1.0%
88.0 1
 
1.0%
92.0 1
 
1.0%
93.0 2
 
2.0%
95.0 1
 
1.0%
96.0 2
 
2.0%
97.5 1
 
1.0%
ValueCountFrequency (%)
113.0 1
 
1.0%
109.5 1
 
1.0%
108.0 4
4.0%
107.5 1
 
1.0%
106.5 2
2.0%
106.0 4
4.0%
105.0 1
 
1.0%
103.0 1
 
1.0%
102.33 1
 
1.0%
102.0 1
 
1.0%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.093
Minimum0
Maximum131
Zeros26
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:08.551315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median90.75
Q399.0825
95-th percentile112.0165
Maximum131
Range131
Interquartile range (IQR)99.0825

Descriptive statistics

Standard deviation43.518142
Coefficient of variation (CV)0.61212977
Kurtosis-0.86642866
Mean71.093
Median Absolute Deviation (MAD)10.835
Skewness-0.92115654
Sum7109.3
Variance1893.8287
MonotonicityNot monotonic
2023-12-10T20:41:08.812163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
26.0%
92.0 3
 
3.0%
102.33 2
 
2.0%
131.0 2
 
2.0%
87.5 2
 
2.0%
95.0 2
 
2.0%
84.67 2
 
2.0%
103.5 2
 
2.0%
99.0 2
 
2.0%
82.25 1
 
1.0%
Other values (56) 56
56.0%
ValueCountFrequency (%)
0.0 26
26.0%
68.5 1
 
1.0%
72.0 1
 
1.0%
75.78 1
 
1.0%
80.33 1
 
1.0%
81.5 1
 
1.0%
82.0 1
 
1.0%
82.25 1
 
1.0%
82.67 1
 
1.0%
84.67 2
 
2.0%
ValueCountFrequency (%)
131.0 2
2.0%
129.0 1
1.0%
115.25 1
1.0%
112.33 1
1.0%
112.0 1
1.0%
108.5 1
1.0%
108.25 1
1.0%
108.0 1
1.0%
107.67 1
1.0%
107.5 1
1.0%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.2887
Minimum0
Maximum109.5
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:09.523432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75.835
Q384.0625
95-th percentile97.8435
Maximum109.5
Range109.5
Interquartile range (IQR)84.0625

Descriptive statistics

Standard deviation41.823906
Coefficient of variation (CV)0.81546045
Kurtosis-1.7650028
Mean51.2887
Median Absolute Deviation (MAD)16.83
Skewness-0.36411009
Sum5128.87
Variance1749.2391
MonotonicityNot monotonic
2023-12-10T20:41:09.736182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 39
39.0%
87.0 3
 
3.0%
96.0 2
 
2.0%
74.75 2
 
2.0%
80.0 2
 
2.0%
100.0 2
 
2.0%
81.5 2
 
2.0%
82.0 2
 
2.0%
78.0 2
 
2.0%
76.0 1
 
1.0%
Other values (43) 43
43.0%
ValueCountFrequency (%)
0.0 39
39.0%
67.5 1
 
1.0%
68.25 1
 
1.0%
69.5 1
 
1.0%
73.0 1
 
1.0%
73.33 1
 
1.0%
74.5 1
 
1.0%
74.75 2
 
2.0%
75.0 1
 
1.0%
75.33 1
 
1.0%
ValueCountFrequency (%)
109.5 1
1.0%
107.0 1
1.0%
105.5 1
1.0%
100.0 2
2.0%
97.73 1
1.0%
96.0 2
2.0%
95.25 1
1.0%
93.5 1
1.0%
93.0 1
1.0%
92.33 1
1.0%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5311
Minimum0
Maximum121.34
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:09.966376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median33
Q382.0825
95-th percentile93.968
Maximum121.34
Range121.34
Interquartile range (IQR)82.0825

Descriptive statistics

Standard deviation42.238768
Coefficient of variation (CV)1.0170395
Kurtosis-1.8969986
Mean41.5311
Median Absolute Deviation (MAD)33
Skewness0.080115002
Sum4153.11
Variance1784.1135
MonotonicityNot monotonic
2023-12-10T20:41:10.233049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 50
50.0%
84.5 3
 
3.0%
86.25 2
 
2.0%
77.75 2
 
2.0%
76.0 2
 
2.0%
86.0 2
 
2.0%
76.5 1
 
1.0%
94.5 1
 
1.0%
83.33 1
 
1.0%
108.75 1
 
1.0%
Other values (35) 35
35.0%
ValueCountFrequency (%)
0.0 50
50.0%
66.0 1
 
1.0%
72.0 1
 
1.0%
73.25 1
 
1.0%
74.5 1
 
1.0%
74.67 1
 
1.0%
75.0 1
 
1.0%
75.33 1
 
1.0%
75.5 1
 
1.0%
76.0 2
 
2.0%
ValueCountFrequency (%)
121.34 1
1.0%
108.75 1
1.0%
97.0 1
1.0%
95.5 1
1.0%
94.5 1
1.0%
93.94 1
1.0%
92.0 1
1.0%
88.0 1
1.0%
87.5 1
1.0%
87.0 1
1.0%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.0829
Minimum0
Maximum117
Zeros61
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:10.445572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378.7525
95-th percentile88
Maximum117
Range117
Interquartile range (IQR)78.7525

Descriptive statistics

Standard deviation40.809803
Coefficient of variation (CV)1.272011
Kurtosis-1.6132224
Mean32.0829
Median Absolute Deviation (MAD)0
Skewness0.53758199
Sum3208.29
Variance1665.44
MonotonicityNot monotonic
2023-12-10T20:41:10.651770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 61
61.0%
88.0 3
 
3.0%
82.0 3
 
3.0%
74.0 2
 
2.0%
76.0 2
 
2.0%
85.0 2
 
2.0%
86.0 2
 
2.0%
69.5 2
 
2.0%
87.5 1
 
1.0%
87.0 1
 
1.0%
Other values (21) 21
 
21.0%
ValueCountFrequency (%)
0.0 61
61.0%
57.68 1
 
1.0%
69.5 2
 
2.0%
74.0 2
 
2.0%
74.5 1
 
1.0%
75.0 1
 
1.0%
75.78 1
 
1.0%
76.0 2
 
2.0%
77.67 1
 
1.0%
78.0 1
 
1.0%
ValueCountFrequency (%)
117.0 1
 
1.0%
108.5 1
 
1.0%
102.0 1
 
1.0%
88.0 3
3.0%
87.5 1
 
1.0%
87.0 1
 
1.0%
86.0 2
2.0%
85.0 2
2.0%
84.75 1
 
1.0%
84.33 1
 
1.0%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.6208
Minimum0
Maximum107.67
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:10.904373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365.5
95-th percentile86.05
Maximum107.67
Range107.67
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation36.08859
Coefficient of variation (CV)1.595372
Kurtosis-0.80608781
Mean22.6208
Median Absolute Deviation (MAD)0
Skewness1.034474
Sum2262.08
Variance1302.3863
MonotonicityNot monotonic
2023-12-10T20:41:11.132452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 71
71.0%
78.0 2
 
2.0%
61.0 1
 
1.0%
93.0 1
 
1.0%
95.0 1
 
1.0%
70.0 1
 
1.0%
54.0 1
 
1.0%
71.0 1
 
1.0%
58.0 1
 
1.0%
87.0 1
 
1.0%
Other values (19) 19
 
19.0%
ValueCountFrequency (%)
0.0 71
71.0%
54.0 1
 
1.0%
58.0 1
 
1.0%
61.0 1
 
1.0%
65.0 1
 
1.0%
67.0 1
 
1.0%
68.96 1
 
1.0%
70.0 1
 
1.0%
70.67 1
 
1.0%
71.0 1
 
1.0%
ValueCountFrequency (%)
107.67 1
1.0%
95.0 1
1.0%
93.0 1
1.0%
87.25 1
1.0%
87.0 1
1.0%
86.0 1
1.0%
85.5 1
1.0%
85.0 1
1.0%
84.0 1
1.0%
82.94 1
1.0%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2936
Minimum0
Maximum87
Zeros87
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:11.343598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.1
Maximum87
Range87
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.813944
Coefficient of variation (CV)2.6049141
Kurtosis3.164488
Mean10.2936
Median Absolute Deviation (MAD)0
Skewness2.2511223
Sum1029.36
Variance718.98759
MonotonicityNot monotonic
2023-12-10T20:41:11.553693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 87
87.0%
83.0 2
 
2.0%
87.0 1
 
1.0%
75.0 1
 
1.0%
72.0 1
 
1.0%
72.33 1
 
1.0%
82.0 1
 
1.0%
76.05 1
 
1.0%
78.48 1
 
1.0%
79.5 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0.0 87
87.0%
72.0 1
 
1.0%
72.33 1
 
1.0%
75.0 1
 
1.0%
76.0 1
 
1.0%
76.05 1
 
1.0%
78.48 1
 
1.0%
79.5 1
 
1.0%
80.0 1
 
1.0%
82.0 1
 
1.0%
ValueCountFrequency (%)
87.0 1
1.0%
85.0 1
1.0%
83.0 2
2.0%
82.0 1
1.0%
80.0 1
1.0%
79.5 1
1.0%
78.48 1
1.0%
76.05 1
1.0%
76.0 1
1.0%
75.0 1
1.0%

9종 차량 속도(km/hr)
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

2023-12-10T20:41:11.742598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:11.889918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.3088
Minimum0
Maximum97
Zeros70
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:12.047959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q368.835
95-th percentile85.1
Maximum97
Range97
Interquartile range (IQR)68.835

Descriptive statistics

Standard deviation36.114868
Coefficient of variation (CV)1.5494092
Kurtosis-1.0262623
Mean23.3088
Median Absolute Deviation (MAD)0
Skewness0.94832561
Sum2330.88
Variance1304.2837
MonotonicityNot monotonic
2023-12-10T20:41:12.262734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 70
70.0%
78.0 2
 
2.0%
81.5 2
 
2.0%
76.0 2
 
2.0%
72.0 2
 
2.0%
76.09 1
 
1.0%
85.0 1
 
1.0%
73.67 1
 
1.0%
77.67 1
 
1.0%
64.0 1
 
1.0%
Other values (17) 17
 
17.0%
ValueCountFrequency (%)
0.0 70
70.0%
61.0 1
 
1.0%
64.0 1
 
1.0%
67.0 1
 
1.0%
68.0 1
 
1.0%
68.78 1
 
1.0%
69.0 1
 
1.0%
71.0 1
 
1.0%
72.0 2
 
2.0%
73.67 1
 
1.0%
ValueCountFrequency (%)
97.0 1
1.0%
95.5 1
1.0%
94.5 1
1.0%
91.0 1
1.0%
87.0 1
1.0%
85.0 1
1.0%
83.0 1
1.0%
82.67 1
1.0%
81.5 2
2.0%
78.0 2
2.0%

11종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
99 
85
 
1

Length

Max length2
Median length1
Mean length1.01
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 99
99.0%
85 1
 
1.0%

Length

2023-12-10T20:41:12.482600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:12.657846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
85 1
 
1.0%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.603
Minimum0
Maximum106
Zeros79
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:12.804803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile87.175
Maximum106
Range106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.754279
Coefficient of variation (CV)1.9727928
Kurtosis0.54487756
Mean16.603
Median Absolute Deviation (MAD)0
Skewness1.5386342
Sum1660.3
Variance1072.8428
MonotonicityNot monotonic
2023-12-10T20:41:13.001186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 79
79.0%
70.0 2
 
2.0%
64.0 2
 
2.0%
73.0 2
 
2.0%
80.5 1
 
1.0%
74.02 1
 
1.0%
87.0 1
 
1.0%
83.5 1
 
1.0%
91.0 1
 
1.0%
106.0 1
 
1.0%
Other values (9) 9
 
9.0%
ValueCountFrequency (%)
0.0 79
79.0%
64.0 2
 
2.0%
69.5 1
 
1.0%
70.0 2
 
2.0%
70.33 1
 
1.0%
72.28 1
 
1.0%
73.0 2
 
2.0%
74.02 1
 
1.0%
75.0 1
 
1.0%
77.0 1
 
1.0%
ValueCountFrequency (%)
106.0 1
1.0%
96.0 1
1.0%
92.67 1
1.0%
91.0 1
1.0%
90.5 1
1.0%
87.0 1
1.0%
83.5 1
1.0%
81.0 1
1.0%
80.5 1
1.0%
77.0 1
1.0%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.97
Minimum0
Maximum246
Zeros14
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:13.236604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139
median79.5
Q3113.25
95-th percentile191.05
Maximum246
Range246
Interquartile range (IQR)74.25

Descriptive statistics

Standard deviation60.449404
Coefficient of variation (CV)0.71989286
Kurtosis0.094755618
Mean83.97
Median Absolute Deviation (MAD)38
Skewness0.6173619
Sum8397
Variance3654.1304
MonotonicityNot monotonic
2023-12-10T20:41:13.536777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
14.0%
38 4
 
4.0%
96 3
 
3.0%
72 2
 
2.0%
177 2
 
2.0%
153 2
 
2.0%
43 2
 
2.0%
105 2
 
2.0%
141 2
 
2.0%
85 2
 
2.0%
Other values (54) 65
65.0%
ValueCountFrequency (%)
0 14
14.0%
1 1
 
1.0%
13 1
 
1.0%
19 1
 
1.0%
32 2
 
2.0%
37 1
 
1.0%
38 4
 
4.0%
39 2
 
2.0%
43 2
 
2.0%
44 1
 
1.0%
ValueCountFrequency (%)
246 1
1.0%
245 1
1.0%
232 1
1.0%
229 1
1.0%
192 1
1.0%
191 1
1.0%
187 1
1.0%
177 2
2.0%
173 1
1.0%
169 1
1.0%

2종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8
Minimum0
Maximum5
Zeros62
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:13.724305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.05
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2390938
Coefficient of variation (CV)1.5488673
Kurtosis1.2964579
Mean0.8
Median Absolute Deviation (MAD)0
Skewness1.4953237
Sum80
Variance1.5353535
MonotonicityNot monotonic
2023-12-10T20:41:13.910667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 62
62.0%
1 15
 
15.0%
2 10
 
10.0%
3 8
 
8.0%
4 4
 
4.0%
5 1
 
1.0%
ValueCountFrequency (%)
0 62
62.0%
1 15
 
15.0%
2 10
 
10.0%
3 8
 
8.0%
4 4
 
4.0%
5 1
 
1.0%
ValueCountFrequency (%)
5 1
 
1.0%
4 4
 
4.0%
3 8
 
8.0%
2 10
 
10.0%
1 15
 
15.0%
0 62
62.0%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.95
Minimum0
Maximum117
Zeros26
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:14.118519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q39
95-th percentile17.05
Maximum117
Range117
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.335359
Coefficient of variation (CV)2.0626416
Kurtosis37.649796
Mean6.95
Median Absolute Deviation (MAD)3.5
Skewness5.5747648
Sum695
Variance205.50253
MonotonicityNot monotonic
2023-12-10T20:41:14.437881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 26
26.0%
4 13
13.0%
1 9
 
9.0%
2 8
 
8.0%
3 7
 
7.0%
13 5
 
5.0%
9 5
 
5.0%
6 4
 
4.0%
5 4
 
4.0%
14 4
 
4.0%
Other values (11) 15
15.0%
ValueCountFrequency (%)
0 26
26.0%
1 9
 
9.0%
2 8
 
8.0%
3 7
 
7.0%
4 13
13.0%
5 4
 
4.0%
6 4
 
4.0%
8 3
 
3.0%
9 5
 
5.0%
10 1
 
1.0%
ValueCountFrequency (%)
117 1
 
1.0%
61 1
 
1.0%
54 1
 
1.0%
24 1
 
1.0%
18 1
 
1.0%
17 1
 
1.0%
15 1
 
1.0%
14 4
4.0%
13 5
5.0%
12 3
3.0%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.02
Minimum0
Maximum27
Zeros39
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:14.630962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39
95-th percentile21
Maximum27
Range27
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.5550967
Coefficient of variation (CV)1.3057962
Kurtosis1.1908098
Mean5.02
Median Absolute Deviation (MAD)2
Skewness1.3825222
Sum502
Variance42.969293
MonotonicityNot monotonic
2023-12-10T20:41:14.810217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 39
39.0%
1 10
 
10.0%
2 7
 
7.0%
9 5
 
5.0%
12 4
 
4.0%
4 3
 
3.0%
7 3
 
3.0%
11 3
 
3.0%
6 3
 
3.0%
21 3
 
3.0%
Other values (11) 20
20.0%
ValueCountFrequency (%)
0 39
39.0%
1 10
 
10.0%
2 7
 
7.0%
3 3
 
3.0%
4 3
 
3.0%
5 2
 
2.0%
6 3
 
3.0%
7 3
 
3.0%
8 3
 
3.0%
9 5
 
5.0%
ValueCountFrequency (%)
27 1
 
1.0%
22 2
2.0%
21 3
3.0%
19 1
 
1.0%
18 1
 
1.0%
15 2
2.0%
14 1
 
1.0%
13 1
 
1.0%
12 4
4.0%
11 3
3.0%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.83
Minimum0
Maximum30
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:14.967888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q36
95-th percentile17.05
Maximum30
Range30
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.9425788
Coefficient of variation (CV)1.5515871
Kurtosis4.2859786
Mean3.83
Median Absolute Deviation (MAD)0.5
Skewness2.02199
Sum383
Variance35.314242
MonotonicityNot monotonic
2023-12-10T20:41:15.132795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 50
50.0%
2 10
 
10.0%
3 5
 
5.0%
4 5
 
5.0%
6 4
 
4.0%
7 3
 
3.0%
9 3
 
3.0%
5 2
 
2.0%
12 2
 
2.0%
1 2
 
2.0%
Other values (11) 14
 
14.0%
ValueCountFrequency (%)
0 50
50.0%
1 2
 
2.0%
2 10
 
10.0%
3 5
 
5.0%
4 5
 
5.0%
5 2
 
2.0%
6 4
 
4.0%
7 3
 
3.0%
8 1
 
1.0%
9 3
 
3.0%
ValueCountFrequency (%)
30 1
1.0%
22 1
1.0%
21 1
1.0%
19 1
1.0%
18 1
1.0%
17 1
1.0%
15 2
2.0%
13 1
1.0%
12 2
2.0%
11 2
2.0%

6종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.62
Minimum0
Maximum42
Zeros61
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:15.326405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.05
Maximum42
Range42
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6661905
Coefficient of variation (CV)2.8803645
Kurtosis57.698193
Mean1.62
Median Absolute Deviation (MAD)0
Skewness6.9416873
Sum162
Variance21.773333
MonotonicityNot monotonic
2023-12-10T20:41:15.492005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 61
61.0%
1 12
 
12.0%
3 9
 
9.0%
2 7
 
7.0%
4 3
 
3.0%
5 2
 
2.0%
6 1
 
1.0%
42 1
 
1.0%
10 1
 
1.0%
13 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0 61
61.0%
1 12
 
12.0%
2 7
 
7.0%
3 9
 
9.0%
4 3
 
3.0%
5 2
 
2.0%
6 1
 
1.0%
7 1
 
1.0%
9 1
 
1.0%
10 1
 
1.0%
ValueCountFrequency (%)
42 1
 
1.0%
13 1
 
1.0%
10 1
 
1.0%
9 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 2
 
2.0%
4 3
 
3.0%
3 9
9.0%
2 7
7.0%

7종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99
Minimum0
Maximum14
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:15.648097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.4923925
Coefficient of variation (CV)2.5175681
Kurtosis14.980868
Mean0.99
Median Absolute Deviation (MAD)0
Skewness3.6783841
Sum99
Variance6.2120202
MonotonicityNot monotonic
2023-12-10T20:41:15.813068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 71
71.0%
1 13
 
13.0%
2 5
 
5.0%
5 3
 
3.0%
7 2
 
2.0%
14 2
 
2.0%
3 2
 
2.0%
4 1
 
1.0%
9 1
 
1.0%
ValueCountFrequency (%)
0 71
71.0%
1 13
 
13.0%
2 5
 
5.0%
3 2
 
2.0%
4 1
 
1.0%
5 3
 
3.0%
7 2
 
2.0%
9 1
 
1.0%
14 2
 
2.0%
ValueCountFrequency (%)
14 2
 
2.0%
9 1
 
1.0%
7 2
 
2.0%
5 3
 
3.0%
4 1
 
1.0%
3 2
 
2.0%
2 5
 
5.0%
1 13
 
13.0%
0 71
71.0%

8종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26
Minimum0
Maximum5
Zeros87
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:15.972929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.81178193
Coefficient of variation (CV)3.1222382
Kurtosis16.570594
Mean0.26
Median Absolute Deviation (MAD)0
Skewness3.8795687
Sum26
Variance0.6589899
MonotonicityNot monotonic
2023-12-10T20:41:16.162800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 87
87.0%
1 6
 
6.0%
2 4
 
4.0%
5 1
 
1.0%
3 1
 
1.0%
4 1
 
1.0%
ValueCountFrequency (%)
0 87
87.0%
1 6
 
6.0%
2 4
 
4.0%
3 1
 
1.0%
4 1
 
1.0%
5 1
 
1.0%
ValueCountFrequency (%)
5 1
 
1.0%
4 1
 
1.0%
3 1
 
1.0%
2 4
 
4.0%
1 6
 
6.0%
0 87
87.0%

9종 차량수(대)
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

2023-12-10T20:41:16.338305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:16.465714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.59
Minimum0
Maximum5
Zeros70
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:16.577326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1200198
Coefficient of variation (CV)1.8983387
Kurtosis4.9036126
Mean0.59
Median Absolute Deviation (MAD)0
Skewness2.2348932
Sum59
Variance1.2544444
MonotonicityNot monotonic
2023-12-10T20:41:16.721539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 70
70.0%
1 14
 
14.0%
2 9
 
9.0%
3 3
 
3.0%
5 2
 
2.0%
4 2
 
2.0%
ValueCountFrequency (%)
0 70
70.0%
1 14
 
14.0%
2 9
 
9.0%
3 3
 
3.0%
4 2
 
2.0%
5 2
 
2.0%
ValueCountFrequency (%)
5 2
 
2.0%
4 2
 
2.0%
3 3
 
3.0%
2 9
 
9.0%
1 14
 
14.0%
0 70
70.0%

11종 차량수(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
99 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 99
99.0%
1 1
 
1.0%

Length

2023-12-10T20:41:16.884338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:17.035399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
1 1
 
1.0%

12종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46
Minimum0
Maximum5
Zeros79
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:17.177680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.086371
Coefficient of variation (CV)2.3616762
Kurtosis7.0856806
Mean0.46
Median Absolute Deviation (MAD)0
Skewness2.7093752
Sum46
Variance1.180202
MonotonicityNot monotonic
2023-12-10T20:41:17.348125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 79
79.0%
1 9
 
9.0%
2 5
 
5.0%
3 3
 
3.0%
5 2
 
2.0%
4 2
 
2.0%
ValueCountFrequency (%)
0 79
79.0%
1 9
 
9.0%
2 5
 
5.0%
3 3
 
3.0%
4 2
 
2.0%
5 2
 
2.0%
ValueCountFrequency (%)
5 2
 
2.0%
4 2
 
2.0%
3 3
 
3.0%
2 5
 
5.0%
1 9
 
9.0%
0 79
79.0%

차량통과수(대)
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.5
Minimum0
Maximum263
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:17.558290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q157.25
median99
Q3154
95-th percentile222.25
Maximum263
Range263
Interquartile range (IQR)96.75

Descriptive statistics

Standard deviation66.858587
Coefficient of variation (CV)0.63979509
Kurtosis-0.46600753
Mean104.5
Median Absolute Deviation (MAD)45
Skewness0.33450403
Sum10450
Variance4470.0707
MonotonicityNot monotonic
2023-12-10T20:41:17.795805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
10.0%
159 4
 
4.0%
118 3
 
3.0%
83 3
 
3.0%
75 2
 
2.0%
110 2
 
2.0%
55 2
 
2.0%
154 2
 
2.0%
54 2
 
2.0%
43 2
 
2.0%
Other values (62) 68
68.0%
ValueCountFrequency (%)
0 10
10.0%
1 1
 
1.0%
15 1
 
1.0%
19 1
 
1.0%
33 1
 
1.0%
38 1
 
1.0%
42 1
 
1.0%
43 2
 
2.0%
51 1
 
1.0%
52 1
 
1.0%
ValueCountFrequency (%)
263 1
1.0%
262 1
1.0%
245 1
1.0%
242 1
1.0%
227 1
1.0%
222 1
1.0%
219 1
1.0%
212 1
1.0%
208 1
1.0%
201 1
1.0%

평균 속도(km)
Real number (ℝ)

ZEROS 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.597
Minimum0
Maximum129.38
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:18.040854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q183.2175
median90.155
Q3102.2375
95-th percentile115.214
Maximum129.38
Range129.38
Interquartile range (IQR)19.02

Descriptive statistics

Standard deviation30.962155
Coefficient of variation (CV)0.36172009
Kurtosis3.3654423
Mean85.597
Median Absolute Deviation (MAD)9.435
Skewness-1.9894059
Sum8559.7
Variance958.65502
MonotonicityNot monotonic
2023-12-10T20:41:18.300539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
10.0%
109.0 1
 
1.0%
85.39 1
 
1.0%
104.75 1
 
1.0%
82.8 1
 
1.0%
98.5 1
 
1.0%
80.71 1
 
1.0%
85.23 1
 
1.0%
117.0 1
 
1.0%
79.91 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
0.0 10
10.0%
68.82 1
 
1.0%
78.2 1
 
1.0%
78.31 1
 
1.0%
78.98 1
 
1.0%
79.81 1
 
1.0%
79.91 1
 
1.0%
80.57 1
 
1.0%
80.71 1
 
1.0%
80.73 1
 
1.0%
ValueCountFrequency (%)
129.38 1
1.0%
123.0 1
1.0%
119.38 1
1.0%
118.62 1
1.0%
117.0 1
1.0%
115.12 1
1.0%
114.25 1
1.0%
114.12 1
1.0%
112.0 1
1.0%
111.62 1
1.0%

위도(°)
Real number (ℝ)

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.344617
Minimum34.983889
Maximum35.840833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:18.525899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.983889
5-th percentile35.020278
Q135.223611
median35.274167
Q335.368472
95-th percentile35.835556
Maximum35.840833
Range0.85694444
Interquartile range (IQR)0.14486111

Descriptive statistics

Standard deviation0.23858902
Coefficient of variation (CV)0.0067503637
Kurtosis-0.10460827
Mean35.344617
Median Absolute Deviation (MAD)0.05055556
Skewness0.93202613
Sum3534.4617
Variance0.056924719
MonotonicityNot monotonic
2023-12-10T20:41:19.087727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
35.22361111 14
 
14.0%
35.2725 8
 
8.0%
35.27583333 7
 
7.0%
35.29388889 6
 
6.0%
35.30694444 6
 
6.0%
35.2425 6
 
6.0%
35.56055556 4
 
4.0%
35.02027778 4
 
4.0%
35.84083333 4
 
4.0%
35.77111111 4
 
4.0%
Other values (10) 37
37.0%
ValueCountFrequency (%)
34.98388889 4
 
4.0%
35.02027778 4
 
4.0%
35.09166667 4
 
4.0%
35.16055556 4
 
4.0%
35.22361111 14
14.0%
35.23972222 4
 
4.0%
35.2425 6
6.0%
35.2725 8
8.0%
35.27416667 4
 
4.0%
35.27583333 7
7.0%
ValueCountFrequency (%)
35.84083333 4
4.0%
35.83555556 4
4.0%
35.77222222 4
4.0%
35.77111111 4
4.0%
35.63805556 1
 
1.0%
35.56055556 4
4.0%
35.55305556 4
4.0%
35.30694444 6
6.0%
35.29388889 6
6.0%
35.27694444 4
4.0%

경도(°)
Real number (ℝ)

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.81729
Minimum127.76028
Maximum130.08667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:19.306533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.76028
5-th percentile127.85972
Q1128.44972
median128.97889
Q3129.07472
95-th percentile129.83139
Maximum130.08667
Range2.3263889
Interquartile range (IQR)0.62499998

Descriptive statistics

Standard deviation0.58749224
Coefficient of variation (CV)0.004560663
Kurtosis-0.33734846
Mean128.81729
Median Absolute Deviation (MAD)0.3566667
Skewness0.13680687
Sum12881.729
Variance0.34514713
MonotonicityNot monotonic
2023-12-10T20:41:19.509881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
128.835 8
 
8.0%
128.6713889 8
 
8.0%
128.9847222 7
 
7.0%
129.0072222 6
 
6.0%
129.8313889 6
 
6.0%
128.9838889 6
 
6.0%
129.0747222 6
 
6.0%
128.1725 4
 
4.0%
129.1838889 4
 
4.0%
127.8597222 4
 
4.0%
Other values (11) 41
41.0%
ValueCountFrequency (%)
127.7602778 4
4.0%
127.8597222 4
4.0%
127.99 4
4.0%
128.0652778 4
4.0%
128.1725 4
4.0%
128.3697222 4
4.0%
128.4447222 1
 
1.0%
128.45138889999998 4
4.0%
128.4722222 4
4.0%
128.6713889 8
8.0%
ValueCountFrequency (%)
130.08666670000002 4
4.0%
129.8313889 6
6.0%
129.51305559999997 4
4.0%
129.3355556 4
4.0%
129.1838889 4
4.0%
129.0747222 6
6.0%
129.0072222 6
6.0%
128.9847222 7
7.0%
128.9838889 6
6.0%
128.9788889 4
4.0%

기울기(°)
Real number (ℝ)

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1033
Minimum-5.44
Maximum3.07
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size1.0 KiB
2023-12-10T20:41:19.732415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.44
5-th percentile-2.7605
Q1-0.62
median0.13
Q30.77
95-th percentile2.495
Maximum3.07
Range8.51
Interquartile range (IQR)1.39

Descriptive statistics

Standard deviation1.5802947
Coefficient of variation (CV)-15.29811
Kurtosis1.6716619
Mean-0.1033
Median Absolute Deviation (MAD)0.73
Skewness-0.6644347
Sum-10.33
Variance2.4973314
MonotonicityNot monotonic
2023-12-10T20:41:19.952866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.2 7
 
7.0%
-0.61 5
 
5.0%
0.19 4
 
4.0%
-0.38 4
 
4.0%
0.31 3
 
3.0%
0.75 3
 
3.0%
0.3 3
 
3.0%
0.07 3
 
3.0%
-0.02 3
 
3.0%
-0.36 3
 
3.0%
Other values (30) 62
62.0%
ValueCountFrequency (%)
-5.44 2
2.0%
-3.15 3
3.0%
-2.74 2
2.0%
-2.38 2
2.0%
-2.27 2
2.0%
-1.61 2
2.0%
-1.6 2
2.0%
-1.54 2
2.0%
-1.48 2
2.0%
-1.26 2
2.0%
ValueCountFrequency (%)
3.07 3
3.0%
2.78 2
2.0%
2.48 2
2.0%
2.27 2
2.0%
1.6 2
2.0%
1.51 2
2.0%
1.45 2
2.0%
1.09 2
2.0%
0.99 2
2.0%
0.92 1
 
1.0%

주소
Categorical

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경남 김해시 대동면
17 
경남 김해시 불암동
8 
경남 창원시 동읍 덕산리
8 
경남 양산시 물금읍
6 
경남 양산시 동면
6 
Other values (14)
55 

Length

Max length14
Median length13
Mean length12.02
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row경남 김해시 대동면
2nd row경남 김해시 대동면
3rd row경남 김해시 대동면
4th row경남 김해시 대동면
5th row경남 김해시 대동면

Common Values

ValueCountFrequency (%)
경남 김해시 대동면 17
17.0%
경남 김해시 불암동 8
 
8.0%
경남 창원시 동읍 덕산리 8
 
8.0%
경남 양산시 물금읍 6
 
6.0%
경남 양산시 동면 6
 
6.0%
경남 김해시 주촌면 망덕리 6
 
6.0%
경남 함양군 지곡면 보산리 4
 
4.0%
경남 진주시 금곡면 두문리 4
 
4.0%
경남 진주시 명석면 오미리 4
 
4.0%
대구 달성군 옥포면 송촌리 4
 
4.0%
Other values (9) 33
33.0%

Length

2023-12-10T20:41:20.168109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 87
24.5%
김해시 39
 
11.0%
대동면 21
 
5.9%
양산시 12
 
3.4%
진주시 12
 
3.4%
불암동 8
 
2.3%
창원시 8
 
2.3%
동읍 8
 
2.3%
덕산리 8
 
2.3%
망덕리 6
 
1.7%
Other values (36) 146
41.1%

Sample

기본키도로종류측정일지점방향차선측정구간장비이정(km)측정시간1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)차량통과수(대)평균 속도(km)위도(°)경도(°)기울기(°)주소
01도로공사20200501A-0550-0096E-8E5대감JC-대동JC9.600.00.00.00.00.00.00.00.000.000.000000000000000.035.275833128.9847220.2경남 김해시 대동면
12도로공사20200501A-0550-0096E-8E6대감JC-대동JC9.600.00.00.00.00.00.00.00.000.000.000000000000000.035.275833128.9847220.2경남 김해시 대동면
23도로공사20200501A-0550-0096E-8E7대감JC-대동JC9.600.00.00.00.00.00.00.00.000.000.000000000000000.035.275833128.9847220.2경남 김해시 대동면
34도로공사20200501A-0550-0096E-8E1대감JC-대동JC9.6098.250.00.00.00.00.00.00.000.000.052000000000005298.2535.275833128.9847220.2경남 김해시 대동면
45도로공사20200501A-0550-0096E-8E2대감JC-대동JC9.6092.50.087.7578.581.00.00.087.0072.0070.33710410400101039482.8835.275833128.9847220.2경남 김해시 대동면
56도로공사20200501A-0550-0096E-8E3대감JC-대동JC9.6085.00.080.3378.075.3374.50.075.0077.5073.09604124202020112378.9835.275833128.9847220.2경남 김해시 대동면
67도로공사20200501A-0550-0096E-8E4대감JC-대동JC9.6072.250.068.569.566.00.061.00.000.000.0117041011010000014368.8235.275833128.9847220.2경남 김해시 대동면
78도로공사20200501A-0351-1078E-4S1지곡IC-함양JC107.80100.5103.097.330.088.00.00.00.000.000.0941401000000010098.2935.553056127.760278-2.74경남 함양군 지곡면 보산리
89도로공사20200501A-0351-1078E-4S2지곡IC-함양JC107.8089.75109.591.7588.7586.2586.085.50.0094.500.01032131512570020015989.8335.553056127.760278-2.74경남 함양군 지곡면 보산리
910도로공사20200501A-0351-1078E-4E1함양JC-지곡IC107.80110.50.099.00.00.00.00.00.000.000.0320100000000033109.8835.553056127.7602782.78경남 함양군 지곡면 보산리
기본키도로종류측정일지점방향차선측정구간장비이정(km)측정시간1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)차량통과수(대)평균 속도(km)위도(°)경도(°)기울기(°)주소
9091도로공사20200501A-0010-0083E-6E3노포JC-양산JC8.3097.5105.087.585.2586.00.00.00.0091.0087.082213112000010111290.4835.306944129.074722-3.15경남 양산시 동면
9192도로공사20200501A-0100-0407S-4S1진교IC-하동IC40.7097.099.595.50.00.00.00.00.000.000.038320000000004397.535.020278127.8597220.84경남 하동군 고전면
9293도로공사20200501A-0100-0407S-4S2진교IC-하동IC40.7086.598.582.2581.575.076.071.083.0064.000.09348613321020013280.5735.020278127.8597220.84경남 하동군 고전면
9394도로공사20200501A-0100-0407S-4E1하동IC-진교IC40.70113.750.0112.087.00.00.00.00.000.000.0720120000000075107.2535.020278127.859722-1.26경남 하동군 고전면
9495도로공사20200501A-0100-0407S-4E2하동IC-진교IC40.70100.75101.088.082.075.582.054.00.0077.6700.080181217110050012584.1935.020278127.859722-1.26경남 하동군 고전면
9596도로공사20200501A-0160-0058E-4S1울산JCT-언양JC5.80103.00.097.670.00.00.00.00.000.000.0790400000000083101.8835.560556129.1838891.6울산 울주군 언양읍 반곡리
9697도로공사20200501A-0160-0058E-4S2울산JCT-언양JC5.800.088.099.068.2574.6769.570.00.0073.67064.003618425004018878.235.560556129.1838891.6울산 울주군 언양읍 반곡리
9798도로공사20200501A-0160-0058E-4E1언양JC-울산JCT5.80107.00.00.096.00.00.095.00.000.000.015300100100000155104.8835.560556129.183889-1.6울산 울주군 언양읍 반곡리
9899도로공사20200501A-0160-0058E-4E2언양JC-울산JCT5.8089.5100.084.6782.7577.7578.2593.080.0085.000.01183986934010016185.0235.560556129.183889-1.6울산 울주군 언양읍 반곡리
99100도로공사20200501A-0450-0480S-4S1현풍JC-창녕IC48.00104.097.5107.589.082.50.00.00.000.000.01482513000000015999.1935.638056128.4447220.92대구 달성군 구지면 예천리