Overview

Dataset statistics

Number of variables35
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory314.4 B

Variable types

Categorical20
Numeric15

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
9종 차량 속도(km/hr) has constant value ""Constant
11종 차량 속도(km/hr) has constant value ""Constant
9종 차량수(대) has constant value ""Constant
11종 차량수(대) has constant value ""Constant
7종 차량 속도(km/hr) is highly imbalanced (61.7%)Imbalance
8종 차량 속도(km/hr) is highly imbalanced (73.5%)Imbalance
12종 차량 속도(km/hr) is highly imbalanced (68.6%)Imbalance
7종 차량수(대) is highly imbalanced (57.4%)Imbalance
8종 차량수(대) is highly imbalanced (64.7%)Imbalance
12종 차량수(대) is highly imbalanced (64.6%)Imbalance
1종 차량 속도(km/hr) has 4 (13.3%) zerosZeros
2종 차량 속도(km/hr) has 24 (80.0%) zerosZeros
3종 차량 속도(km/hr) has 14 (46.7%) zerosZeros
4종 차량 속도(km/hr) has 19 (63.3%) zerosZeros
5종 차량 속도(km/hr) has 18 (60.0%) zerosZeros
6종 차량 속도(km/hr) has 25 (83.3%) zerosZeros
10종 차량 속도(km/hr) has 24 (80.0%) zerosZeros
1종 차량수(대) has 4 (13.3%) zerosZeros
3종 차량수(대) has 14 (46.7%) zerosZeros
4종 차량수(대) has 19 (63.3%) zerosZeros

Reproduction

Analysis started2023-12-10 10:28:49.869522
Analysis finished2023-12-10 10:28:50.307403
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
도로공사
30 

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 30
100.0%

Length

2023-12-10T19:28:50.403655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:50.561433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 30
100.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
20200501
30 

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 30
100.0%

Length

2023-12-10T19:28:50.945276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:51.124956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200501 30
100.0%

지점
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
A-0100-1312S-8
A-0351-1078E-4
A-0351-0390S-4
A-0351-0642S-4
A-4510-0134S-4
Other values (2)

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0550-0096E-8
2nd rowA-0550-0096E-8
3rd rowA-0550-0096E-8
4th rowA-0351-1078E-4
5th rowA-0351-1078E-4

Common Values

ValueCountFrequency (%)
A-0100-1312S-8 8
26.7%
A-0351-1078E-4 4
13.3%
A-0351-0390S-4 4
13.3%
A-0351-0642S-4 4
13.3%
A-4510-0134S-4 4
13.3%
A-0550-0096E-8 3
 
10.0%
A-0100-1124S-4 3
 
10.0%

Length

2023-12-10T19:28:51.321390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:51.621021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a-0100-1312s-8 8
26.7%
a-0351-1078e-4 4
13.3%
a-0351-0390s-4 4
13.3%
a-0351-0642s-4 4
13.3%
a-4510-0134s-4 4
13.3%
a-0550-0096e-8 3
 
10.0%
a-0100-1124s-4 3
 
10.0%

방향
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
E
16 
S
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
E 16
53.3%
S 14
46.7%

Length

2023-12-10T19:28:51.943859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:52.120763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 16
53.3%
s 14
46.7%

차선
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:52.257042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5.55
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5624914
Coefficient of variation (CV)0.71022335
Kurtosis2.694552
Mean2.2
Median Absolute Deviation (MAD)1
Skewness1.7363776
Sum66
Variance2.4413793
MonotonicityNot monotonic
2023-12-10T19:28:52.546888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 12
40.0%
2 11
36.7%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
1 12
40.0%
2 11
36.7%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 2
 
6.7%
2 11
36.7%
1 12
40.0%

측정구간
Categorical

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
동창원IC-창원JC
창원JC-동창원IC
대감JC-대동JC
지곡IC-함양JC
함양JC-지곡IC
Other values (8)
15 

Length

Max length10
Median length10
Mean length9.5333333
Min length9

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
동창원IC-창원JC 4
13.3%
창원JC-동창원IC 4
13.3%
대감JC-대동JC 3
10.0%
지곡IC-함양JC 2
 
6.7%
함양JC-지곡IC 2
 
6.7%
진주JC-연화산IC 2
 
6.7%
연화산IC-진주JC 2
 
6.7%
단성IC-서진주IC 2
 
6.7%
서진주IC-단성IC 2
 
6.7%
옥포JC-달성IC 2
 
6.7%
Other values (3) 5
16.7%

Length

2023-12-10T19:28:52.959488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동창원ic-창원jc 4
13.3%
창원jc-동창원ic 4
13.3%
대감jc-대동jc 3
10.0%
지곡ic-함양jc 2
 
6.7%
함양jc-지곡ic 2
 
6.7%
진주jc-연화산ic 2
 
6.7%
연화산ic-진주jc 2
 
6.7%
단성ic-서진주ic 2
 
6.7%
서진주ic-단성ic 2
 
6.7%
옥포jc-달성ic 2
 
6.7%
Other values (3) 5
16.7%

장비이정(km)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.106667
Minimum9.6
Maximum131.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:53.262591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.6
5-th percentile9.6
Q139
median86
Q3126.5
95-th percentile131.2
Maximum131.2
Range121.6
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation48.171496
Coefficient of variation (CV)0.62473841
Kurtosis-1.6559035
Mean77.106667
Median Absolute Deviation (MAD)45.2
Skewness-0.22252967
Sum2313.2
Variance2320.4931
MonotonicityNot monotonic
2023-12-10T19:28:53.623544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
131.2 8
26.7%
107.8 4
13.3%
39.0 4
13.3%
64.2 4
13.3%
13.4 4
13.3%
9.6 3
 
10.0%
112.4 3
 
10.0%
ValueCountFrequency (%)
9.6 3
 
10.0%
13.4 4
13.3%
39.0 4
13.3%
64.2 4
13.3%
107.8 4
13.3%
112.4 3
 
10.0%
131.2 8
26.7%
ValueCountFrequency (%)
131.2 8
26.7%
112.4 3
 
10.0%
107.8 4
13.3%
64.2 4
13.3%
39.0 4
13.3%
13.4 4
13.3%
9.6 3
 
10.0%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.733333
Minimum0
Maximum133
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:53.849430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median94
Q3100.75
95-th percentile116
Maximum133
Range133
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation35.584705
Coefficient of variation (CV)0.41996112
Kurtosis2.3524618
Mean84.733333
Median Absolute Deviation (MAD)7
Skewness-1.7951084
Sum2542
Variance1266.2713
MonotonicityNot monotonic
2023-12-10T19:28:54.093797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 4
 
13.3%
87 3
 
10.0%
91 2
 
6.7%
116 2
 
6.7%
97 2
 
6.7%
96 2
 
6.7%
94 2
 
6.7%
105 1
 
3.3%
98 1
 
3.3%
133 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 4
13.3%
79 1
 
3.3%
85 1
 
3.3%
87 3
10.0%
88 1
 
3.3%
89 1
 
3.3%
90 1
 
3.3%
91 2
6.7%
94 2
6.7%
96 2
6.7%
ValueCountFrequency (%)
133 1
3.3%
116 2
6.7%
114 1
3.3%
107 1
3.3%
105 1
3.3%
104 1
3.3%
101 1
3.3%
100 1
3.3%
98 1
3.3%
97 2
6.7%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.333333
Minimum0
Maximum110
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:54.318231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105.55
Maximum110
Range110
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.919171
Coefficient of variation (CV)2.0647847
Kurtosis1.0039882
Mean19.333333
Median Absolute Deviation (MAD)0
Skewness1.6794986
Sum580
Variance1593.5402
MonotonicityNot monotonic
2023-12-10T19:28:54.556758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
80.0%
103 1
 
3.3%
110 1
 
3.3%
106 1
 
3.3%
105 1
 
3.3%
90 1
 
3.3%
66 1
 
3.3%
ValueCountFrequency (%)
0 24
80.0%
66 1
 
3.3%
90 1
 
3.3%
103 1
 
3.3%
105 1
 
3.3%
106 1
 
3.3%
110 1
 
3.3%
ValueCountFrequency (%)
110 1
 
3.3%
106 1
 
3.3%
105 1
 
3.3%
103 1
 
3.3%
90 1
 
3.3%
66 1
 
3.3%
0 24
80.0%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.4
Minimum0
Maximum112
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:54.752230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78.5
Q392.75
95-th percentile106.65
Maximum112
Range112
Interquartile range (IQR)92.75

Descriptive statistics

Standard deviation47.582669
Coefficient of variation (CV)0.96321191
Kurtosis-2.0281962
Mean49.4
Median Absolute Deviation (MAD)31.5
Skewness-0.063139114
Sum1482
Variance2264.1103
MonotonicityNot monotonic
2023-12-10T19:28:54.928023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 14
46.7%
81 2
 
6.7%
89 1
 
3.3%
99 1
 
3.3%
91 1
 
3.3%
85 1
 
3.3%
98 1
 
3.3%
92 1
 
3.3%
93 1
 
3.3%
108 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 14
46.7%
78 1
 
3.3%
79 1
 
3.3%
81 2
 
6.7%
85 1
 
3.3%
89 1
 
3.3%
91 1
 
3.3%
92 1
 
3.3%
93 1
 
3.3%
94 1
 
3.3%
ValueCountFrequency (%)
112 1
3.3%
108 1
3.3%
105 1
3.3%
99 1
3.3%
98 1
3.3%
97 1
3.3%
94 1
3.3%
93 1
3.3%
92 1
3.3%
91 1
3.3%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.366667
Minimum0
Maximum88
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:55.120180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q375.5
95-th percentile87.1
Maximum88
Range88
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation39.448337
Coefficient of variation (CV)1.3433032
Kurtosis-1.6982869
Mean29.366667
Median Absolute Deviation (MAD)0
Skewness0.61412667
Sum881
Variance1556.1713
MonotonicityNot monotonic
2023-12-10T19:28:55.326610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 19
63.3%
84 2
 
6.7%
88 2
 
6.7%
80 2
 
6.7%
86 1
 
3.3%
68 1
 
3.3%
74 1
 
3.3%
76 1
 
3.3%
73 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
68 1
 
3.3%
73 1
 
3.3%
74 1
 
3.3%
76 1
 
3.3%
80 2
 
6.7%
84 2
 
6.7%
86 1
 
3.3%
88 2
 
6.7%
ValueCountFrequency (%)
88 2
 
6.7%
86 1
 
3.3%
84 2
 
6.7%
80 2
 
6.7%
76 1
 
3.3%
74 1
 
3.3%
73 1
 
3.3%
68 1
 
3.3%
0 19
63.3%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.5
Minimum0
Maximum91
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:55.553672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378.5
95-th percentile88.55
Maximum91
Range91
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation40.729342
Coefficient of variation (CV)1.2532105
Kurtosis-1.8616647
Mean32.5
Median Absolute Deviation (MAD)0
Skewness0.46726061
Sum975
Variance1658.8793
MonotonicityNot monotonic
2023-12-10T19:28:55.771934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
60.0%
77 2
 
6.7%
91 1
 
3.3%
66 1
 
3.3%
79 1
 
3.3%
74 1
 
3.3%
88 1
 
3.3%
85 1
 
3.3%
87 1
 
3.3%
89 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 18
60.0%
66 1
 
3.3%
74 1
 
3.3%
77 2
 
6.7%
79 1
 
3.3%
80 1
 
3.3%
82 1
 
3.3%
85 1
 
3.3%
87 1
 
3.3%
88 1
 
3.3%
ValueCountFrequency (%)
91 1
3.3%
89 1
3.3%
88 1
3.3%
87 1
3.3%
85 1
3.3%
82 1
3.3%
80 1
3.3%
79 1
3.3%
77 2
6.7%
74 1
3.3%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.666667
Minimum0
Maximum102
Zeros25
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:55.986706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile89.85
Maximum102
Range102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.567568
Coefficient of variation (CV)2.2886978
Kurtosis1.9827441
Mean14.666667
Median Absolute Deviation (MAD)0
Skewness1.9377539
Sum440
Variance1126.7816
MonotonicityNot monotonic
2023-12-10T19:28:56.218747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
83.3%
93 1
 
3.3%
75 1
 
3.3%
84 1
 
3.3%
102 1
 
3.3%
86 1
 
3.3%
ValueCountFrequency (%)
0 25
83.3%
75 1
 
3.3%
84 1
 
3.3%
86 1
 
3.3%
93 1
 
3.3%
102 1
 
3.3%
ValueCountFrequency (%)
102 1
 
3.3%
93 1
 
3.3%
86 1
 
3.3%
84 1
 
3.3%
75 1
 
3.3%
0 25
83.3%

7종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
88
 
2
77
 
1
83
 
1

Length

Max length2
Median length1
Mean length1.1333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row88

Common Values

ValueCountFrequency (%)
0 26
86.7%
88 2
 
6.7%
77 1
 
3.3%
83 1
 
3.3%

Length

2023-12-10T19:28:56.423324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:56.619202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
88 2
 
6.7%
77 1
 
3.3%
83 1
 
3.3%

8종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
72
 
1
74
 
1

Length

Max length2
Median length1
Mean length1.0666667
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
72 1
 
3.3%
74 1
 
3.3%

Length

2023-12-10T19:28:56.855961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:57.066995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
72 1
 
3.3%
74 1
 
3.3%

9종 차량 속도(km/hr)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2023-12-10T19:28:57.235612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:57.403726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.4
Minimum0
Maximum88
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:57.558981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile82.95
Maximum88
Range88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.541543
Coefficient of variation (CV)2.0481522
Kurtosis0.81737983
Mean15.4
Median Absolute Deviation (MAD)0
Skewness1.6344646
Sum462
Variance994.86897
MonotonicityNot monotonic
2023-12-10T19:28:57.744510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
80.0%
68 1
 
3.3%
69 1
 
3.3%
88 1
 
3.3%
78 1
 
3.3%
72 1
 
3.3%
87 1
 
3.3%
ValueCountFrequency (%)
0 24
80.0%
68 1
 
3.3%
69 1
 
3.3%
72 1
 
3.3%
78 1
 
3.3%
87 1
 
3.3%
88 1
 
3.3%
ValueCountFrequency (%)
88 1
 
3.3%
87 1
 
3.3%
78 1
 
3.3%
72 1
 
3.3%
69 1
 
3.3%
68 1
 
3.3%
0 24
80.0%

11종 차량 속도(km/hr)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2023-12-10T19:28:58.027201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:58.242514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
90
 
1
91
 
1
77
 
1

Length

Max length2
Median length1
Mean length1.1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
90 1
 
3.3%
91 1
 
3.3%
77 1
 
3.3%

Length

2023-12-10T19:28:58.421387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:58.583824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
90 1
 
3.3%
91 1
 
3.3%
77 1
 
3.3%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.033333
Minimum0
Maximum75
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:58.773103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.75
median20.5
Q331.75
95-th percentile49.3
Maximum75
Range75
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.908442
Coefficient of variation (CV)0.73408575
Kurtosis1.7425352
Mean23.033333
Median Absolute Deviation (MAD)10.5
Skewness0.95098189
Sum691
Variance285.8954
MonotonicityNot monotonic
2023-12-10T19:28:58.998540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 4
 
13.3%
15 3
 
10.0%
19 2
 
6.7%
34 2
 
6.7%
75 1
 
3.3%
39 1
 
3.3%
26 1
 
3.3%
32 1
 
3.3%
20 1
 
3.3%
16 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 4
13.3%
4 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
12 1
 
3.3%
15 3
10.0%
16 1
 
3.3%
19 2
6.7%
20 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
75 1
3.3%
52 1
3.3%
46 1
3.3%
39 1
3.3%
38 1
3.3%
34 2
6.7%
32 1
3.3%
31 1
3.3%
30 1
3.3%
28 1
3.3%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

Length

2023-12-10T19:28:59.218889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:28:59.405337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum0
Maximum9
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:59.553020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.55
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1908902
Coefficient of variation (CV)1.3693064
Kurtosis3.426097
Mean1.6
Median Absolute Deviation (MAD)1
Skewness1.7740275
Sum48
Variance4.8
MonotonicityNot monotonic
2023-12-10T19:28:59.725204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
46.7%
2 5
 
16.7%
1 4
 
13.3%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
9 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 4
 
13.3%
2 5
 
16.7%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 2
 
6.7%
2 5
 
16.7%
1 4
 
13.3%
0 14
46.7%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2666667
Minimum0
Maximum11
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:28:59.888761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5042493
Coefficient of variation (CV)1.9770389
Kurtosis7.5493797
Mean1.2666667
Median Absolute Deviation (MAD)0
Skewness2.6393764
Sum38
Variance6.2712644
MonotonicityNot monotonic
2023-12-10T19:29:00.068367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
63.3%
1 4
 
13.3%
6 2
 
6.7%
2 2
 
6.7%
3 1
 
3.3%
4 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
1 4
 
13.3%
2 2
 
6.7%
3 1
 
3.3%
4 1
 
3.3%
6 2
 
6.7%
11 1
 
3.3%
ValueCountFrequency (%)
11 1
 
3.3%
6 2
 
6.7%
4 1
 
3.3%
3 1
 
3.3%
2 2
 
6.7%
1 4
 
13.3%
0 19
63.3%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
18 
1
5
4
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row4

Common Values

ValueCountFrequency (%)
0 18
60.0%
1 5
 
16.7%
5 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%

Length

2023-12-10T19:29:00.642912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:00.859431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
60.0%
1 5
 
16.7%
5 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 2
 
6.7%

Length

2023-12-10T19:29:01.068713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:01.226883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 2
 
6.7%

7종 차량수(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
2
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 26
86.7%
2 3
 
10.0%
1 1
 
3.3%

Length

2023-12-10T19:29:01.403502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:01.571078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
2 3
 
10.0%
1 1
 
3.3%

8종 차량수(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
1
 
2

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 28
93.3%
1 2
 
6.7%

Length

2023-12-10T19:29:01.805558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:02.006751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

9종 차량수(대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2023-12-10T19:29:02.169195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:02.314303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 5
 
16.7%
2 1
 
3.3%

Length

2023-12-10T19:29:02.465216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:02.633096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 5
 
16.7%
2 1
 
3.3%

11종 차량수(대)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

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 30
100.0%

Length

2023-12-10T19:29:02.797304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:02.951393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 차량수(대)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-10T19:29:03.260198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:03.515442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

위도(°)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.348556
Minimum35.091667
Maximum35.772222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:03.657147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.091667
5-th percentile35.091667
Q135.247917
median35.2725
Q335.48375
95-th percentile35.772222
Maximum35.772222
Range0.68055555
Interquartile range (IQR)0.23583334

Descriptive statistics

Standard deviation0.2097078
Coefficient of variation (CV)0.0059325704
Kurtosis0.046830914
Mean35.348556
Median Absolute Deviation (MAD)0.03277778
Skewness1.0396446
Sum1060.4567
Variance0.043977359
MonotonicityNot monotonic
2023-12-10T19:29:03.843708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
35.2725 8
26.7%
35.55305556 4
13.3%
35.09166667 4
13.3%
35.23972222 4
13.3%
35.77222222 4
13.3%
35.27583333 3
 
10.0%
35.27416667 3
 
10.0%
ValueCountFrequency (%)
35.09166667 4
13.3%
35.23972222 4
13.3%
35.2725 8
26.7%
35.27416667 3
 
10.0%
35.27583333 3
 
10.0%
35.55305556 4
13.3%
35.77222222 4
13.3%
ValueCountFrequency (%)
35.77222222 4
13.3%
35.55305556 4
13.3%
35.27583333 3
 
10.0%
35.27416667 3
 
10.0%
35.2725 8
26.7%
35.23972222 4
13.3%
35.09166667 4
13.3%

경도(°)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.37531
Minimum127.76028
Maximum128.98472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:04.022062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.76028
5-th percentile127.76028
Q1128.03563
median128.46181
Q3128.67139
95-th percentile128.98472
Maximum128.98472
Range1.2244444
Interquartile range (IQR)0.6357639

Descriptive statistics

Standard deviation0.37791736
Coefficient of variation (CV)0.0029438476
Kurtosis-0.96037535
Mean128.37531
Median Absolute Deviation (MAD)0.24944445
Skewness-0.20620402
Sum3851.2594
Variance0.14282153
MonotonicityNot monotonic
2023-12-10T19:29:04.214063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
128.6713889 8
26.7%
127.7602778 4
13.3%
128.1725 4
13.3%
127.99 4
13.3%
128.4722222 4
13.3%
128.9847222 3
 
10.0%
128.4513889 3
 
10.0%
ValueCountFrequency (%)
127.7602778 4
13.3%
127.99 4
13.3%
128.1725 4
13.3%
128.4513889 3
 
10.0%
128.4722222 4
13.3%
128.6713889 8
26.7%
128.9847222 3
 
10.0%
ValueCountFrequency (%)
128.9847222 3
 
10.0%
128.6713889 8
26.7%
128.4722222 4
13.3%
128.4513889 3
 
10.0%
128.1725 4
13.3%
127.99 4
13.3%
127.7602778 4
13.3%

기울기(°)
Real number (ℝ)

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.132
Minimum-5.44
Maximum2.78
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)43.3%
Memory size402.0 B
2023-12-10T19:29:04.411079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.44
5-th percentile-2.74
Q1-0.49
median0.19
Q30.7675
95-th percentile2.5505
Maximum2.78
Range8.22
Interquartile range (IQR)1.2575

Descriptive statistics

Standard deviation1.7927717
Coefficient of variation (CV)-13.581604
Kurtosis1.4465
Mean-0.132
Median Absolute Deviation (MAD)0.67
Skewness-0.78569847
Sum-3.96
Variance3.2140303
MonotonicityNot monotonic
2023-12-10T19:29:04.602719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.19 4
13.3%
-0.38 4
13.3%
0.2 3
10.0%
-2.74 2
 
6.7%
2.78 2
 
6.7%
1.51 2
 
6.7%
-1.61 2
 
6.7%
-0.49 2
 
6.7%
0.52 2
 
6.7%
2.27 2
 
6.7%
Other values (3) 5
16.7%
ValueCountFrequency (%)
-5.44 1
 
3.3%
-2.74 2
6.7%
-2.27 2
6.7%
-1.61 2
6.7%
-0.49 2
6.7%
-0.38 4
13.3%
0.19 4
13.3%
0.2 3
10.0%
0.52 2
6.7%
0.85 2
6.7%
ValueCountFrequency (%)
2.78 2
6.7%
2.27 2
6.7%
1.51 2
6.7%
0.85 2
6.7%
0.52 2
6.7%
0.2 3
10.0%
0.19 4
13.3%
-0.38 4
13.3%
-0.49 2
6.7%
-1.61 2
6.7%

주소
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경남 창원시 동읍 덕산리
경남 함양군 지곡면 보산리
경남 진주시 금곡면 두문리
경남 진주시 명석면 오미리
대구 달성군 옥포면 송촌리
Other values (2)

Length

Max length14
Median length14
Mean length13.333333
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남 창원시 동읍 덕산리 8
26.7%
경남 함양군 지곡면 보산리 4
13.3%
경남 진주시 금곡면 두문리 4
13.3%
경남 진주시 명석면 오미리 4
13.3%
대구 달성군 옥포면 송촌리 4
13.3%
경남 김해시 대동면 3
 
10.0%
경남 함안군 산인면 모곡리 3
 
10.0%

Length

2023-12-10T19:29:04.877241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:05.077560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 26
22.2%
창원시 8
 
6.8%
동읍 8
 
6.8%
덕산리 8
 
6.8%
진주시 8
 
6.8%
송촌리 4
 
3.4%
옥포면 4
 
3.4%
달성군 4
 
3.4%
대구 4
 
3.4%
오미리 4
 
3.4%
Other values (11) 39
33.3%

Sample

도로종류측정일지점방향차선측정구간장비이정(km)1종 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)위도(°)경도(°)기울기(°)주소
0도로공사20200501A-0550-0096E-8E5대감JC-대동JC9.600000000000000000000000035.275833128.9847220.2경남 김해시 대동면
1도로공사20200501A-0550-0096E-8E6대감JC-대동JC9.600000000000000000000000035.275833128.9847220.2경남 김해시 대동면
2도로공사20200501A-0550-0096E-8E7대감JC-대동JC9.600000000000000000000000035.275833128.9847220.2경남 김해시 대동면
3도로공사20200501A-0351-1078E-4S1지곡IC-함양JC107.810010393000000000271100000000035.553056127.760278-2.74경남 함양군 지곡면 보산리
4도로공사20200501A-0351-1078E-4S2지곡IC-함양JC107.887110898691938800000311364120000035.553056127.760278-2.74경남 함양군 지곡면 보산리
5도로공사20200501A-0351-1078E-4E1함양JC-지곡IC107.8104099000000000100100000000035.553056127.7602782.78경남 함양군 지곡면 보산리
6도로공사20200501A-0351-1078E-4E2함양JC-지곡IC107.888106918466007206800152513001020035.553056127.7602782.78경남 함양군 지곡면 보산리
7도로공사20200501A-0351-0390S-4S1진주JC-연화산IC39.09000000000000210000000000035.091667128.17251.51경남 진주시 금곡면 두문리
8도로공사20200501A-0351-0390S-4S2진주JC-연화산IC39.0870858479750006900240233300010035.091667128.17251.51경남 진주시 금곡면 두문리
9도로공사20200501A-0351-0390S-4E1연화산IC-진주JC39.01330000000000040000000000035.091667128.1725-1.61경남 진주시 금곡면 두문리
도로종류측정일지점방향차선측정구간장비이정(km)1종 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)위도(°)경도(°)기울기(°)주소
20도로공사20200501A-0351-0642S-4S2단성IC-서진주IC64.294010580870770078077300321020010135.239722127.99-0.49경남 진주시 명석면 오미리
21도로공사20200501A-0351-0642S-4E1서진주IC-단성IC64.211600000000000150000000000035.239722127.990.52경남 진주시 명석면 오미리
22도로공사20200501A-0351-0642S-4E2서진주IC-단성IC64.29700768908300000160011010000035.239722127.990.52경남 진주시 명석면 오미리
23도로공사20200501A-4510-0134S-4S1옥포JC-달성IC13.411400000000000150000000000035.772222128.4722222.27대구 달성군 옥포면 송촌리
24도로공사20200501A-4510-0134S-4S2옥포JC-달성IC13.48907908000007200200101000010035.772222128.4722222.27대구 달성군 옥포면 송촌리
25도로공사20200501A-4510-0134S-4E1달성IC-옥포JC13.49600000000000320000000000035.772222128.472222-2.27대구 달성군 옥포면 송촌리
26도로공사20200501A-4510-0134S-4E2달성IC-옥포JC13.485667873770000000262225000000035.772222128.472222-2.27대구 달성군 옥포면 송촌리
27도로공사20200501A-0100-1124S-4S1산인JC-함안IC112.487008800000000190060000000035.274167128.4513890.85경남 함안군 산인면 모곡리
28도로공사20200501A-0100-1124S-4S2산인JC-함안IC112.47908108200008700340904000010035.274167128.4513890.85경남 함안군 산인면 모곡리
29도로공사20200501A-0100-1124S-4E1함안IC-산인JC112.4101097000000000390600000000035.274167128.451389-5.44경남 함안군 산인면 모곡리