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

Numeric27
Categorical12

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 2 (2.0%) zerosZeros
2종 차량 속도(km/hr) has 59 (59.0%) zerosZeros
3종 차량 속도(km/hr) has 31 (31.0%) zerosZeros
4종 차량 속도(km/hr) has 37 (37.0%) zerosZeros
5종 차량 속도(km/hr) has 34 (34.0%) zerosZeros
6종 차량 속도(km/hr) has 50 (50.0%) zerosZeros
7종 차량 속도(km/hr) has 55 (55.0%) zerosZeros
8종 차량 속도(km/hr) has 72 (72.0%) zerosZeros
10종 차량 속도(km/hr) has 64 (64.0%) zerosZeros
12종 차량 속도(km/hr) has 71 (71.0%) zerosZeros
1종 차량수(대) has 2 (2.0%) zerosZeros
2종 차량수(대) has 59 (59.0%) zerosZeros
3종 차량수(대) has 31 (31.0%) zerosZeros
4종 차량수(대) has 37 (37.0%) zerosZeros
5종 차량수(대) has 34 (34.0%) zerosZeros
6종 차량수(대) has 50 (50.0%) zerosZeros
7종 차량수(대) has 55 (55.0%) zerosZeros
8종 차량수(대) has 72 (72.0%) zerosZeros
10종 차량수(대) has 64 (64.0%) zerosZeros
12종 차량수(대) has 71 (71.0%) zerosZeros
기울기(°) has 7 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:41:22.080670
Analysis finished2023-12-10 11:41:22.612403
Duration0.53 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
2023-12-10T20:41:22.735392image/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
2023-12-10T20:41:22.995509image/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

2023-12-10T20:41:23.217068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:23.351235image/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
20200401
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200401
2nd row20200401
3rd row20200401
4th row20200401
5th row20200401

Common Values

ValueCountFrequency (%)
20200401 100
100.0%

Length

2023-12-10T20:41:23.520593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:23.688022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200401 100
100.0%

지점
Categorical

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0100-0698S-8
A-0251-0721E-7
A-5510-0116E-6
 
6
A-0010-0083E-6
 
6
A-0120-0062E-6
 
6
Other values (17)
67 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-5510-0116E-6
2nd rowA-5510-0116E-6
3rd rowA-5510-0116E-6
4th rowA-5510-0116E-6
5th rowA-5510-0116E-6

Common Values

ValueCountFrequency (%)
A-0100-0698S-8 8
 
8.0%
A-0251-0721E-7 7
 
7.0%
A-5510-0116E-6 6
 
6.0%
A-0010-0083E-6 6
 
6.0%
A-0120-0062E-6 6
 
6.0%
A-0121-0066S-4 4
 
4.0%
A-6000-0265E-4 4
 
4.0%
A-0100-0407S-4 4
 
4.0%
A-0160-0058E-4 4
 
4.0%
A-0450-0480S-4 4
 
4.0%
Other values (12) 47
47.0%

Length

2023-12-10T20:41:23.859750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0100-0698s-8 8
 
8.0%
a-0251-0721e-7 7
 
7.0%
a-5510-0116e-6 6
 
6.0%
a-0010-0083e-6 6
 
6.0%
a-0120-0062e-6 6
 
6.0%
a-0150-0290s-4 4
 
4.0%
a-0140-0273s-4 4
 
4.0%
a-0251-0652s-4 4
 
4.0%
a-0140-0388e-4 4
 
4.0%
a-0251-1042e-4 4
 
4.0%
Other values (12) 47
47.0%

방향
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
S
51 
E
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
S 51
51.0%
E 49
49.0%

Length

2023-12-10T20:41:24.056666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:24.206256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 51
51.0%
e 49
49.0%

차선
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
44 
2
43 
3
10 
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
44.0%
2 43
43.0%
3 10
 
10.0%
4 3
 
3.0%

Length

2023-12-10T20:41:24.396346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:24.572464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
44.0%
2 43
43.0%
3 10
 
10.0%
4 3
 
3.0%

측정구간
Categorical

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
문흥JC-동광주TG
 
4
진주IC-진주JC
 
4
진주JC-진주IC
 
4
담양JC-고서JC
 
3
양산JC-노포JC
 
3
Other values (39)
82 

Length

Max length12
Median length9
Mean length9.5
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row물금IC-대동JC
2nd row물금IC-대동JC
3rd row물금IC-대동JC
4th row대동JC-물금IC
5th row대동JC-물금IC

Common Values

ValueCountFrequency (%)
문흥JC-동광주TG 4
 
4.0%
진주IC-진주JC 4
 
4.0%
진주JC-진주IC 4
 
4.0%
담양JC-고서JC 3
 
3.0%
양산JC-노포JC 3
 
3.0%
물금IC-대동JC 3
 
3.0%
노포JC-양산JC 3
 
3.0%
고서JC-담양JC 3
 
3.0%
대동JC-물금IC 3
 
3.0%
동광주TG-문흥JC 3
 
3.0%
Other values (34) 67
67.0%

Length

2023-12-10T20:41:24.788956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문흥jc-동광주tg 4
 
4.0%
진주jc-진주ic 4
 
4.0%
진주ic-진주jc 4
 
4.0%
노포jc-양산jc 3
 
3.0%
동광주tg-문흥jc 3
 
3.0%
고서jc-담양jc 3
 
3.0%
대동jc-물금ic 3
 
3.0%
물금ic-대동jc 3
 
3.0%
양산jc-노포jc 3
 
3.0%
담양jc-고서jc 3
 
3.0%
Other values (34) 67
67.0%

장비이정(km)
Real number (ℝ)

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.6756
Minimum2.7
Maximum104.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:24.994875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile4.4
Q17.8675
median26.69
Q348
95-th percentile72.1
Maximum104.15
Range101.45
Interquartile range (IQR)40.1325

Descriptive statistics

Standard deviation28.150571
Coefficient of variation (CV)0.88871468
Kurtosis-0.22175483
Mean31.6756
Median Absolute Deviation (MAD)20.12
Skewness0.89674988
Sum3167.56
Variance792.45462
MonotonicityNot monotonic
2023-12-10T20:41:25.203350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
69.8 8
 
8.0%
72.1 7
 
7.0%
11.6 6
 
6.0%
8.3 6
 
6.0%
6.15 6
 
6.0%
27.3 4
 
4.0%
65.2 4
 
4.0%
38.8 4
 
4.0%
104.15 4
 
4.0%
44.75 4
 
4.0%
Other values (12) 47
47.0%
ValueCountFrequency (%)
2.7 4
4.0%
4.4 3
3.0%
5.8 4
4.0%
6.15 6
6.0%
6.23 4
4.0%
6.57 4
4.0%
8.3 6
6.0%
9.64 4
4.0%
11.6 6
6.0%
13.0 4
4.0%
ValueCountFrequency (%)
104.15 4
4.0%
72.1 7
7.0%
69.8 8
8.0%
65.2 4
4.0%
48.0 4
4.0%
44.75 4
4.0%
40.7 4
4.0%
38.8 4
4.0%
28.91 4
4.0%
27.3 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

2023-12-10T20:41:25.427027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:25.572120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.4724
Minimum0
Maximum145.75
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:25.737703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile91.4875
Q199
median105.125
Q3115.5625
95-th percentile125.775
Maximum145.75
Range145.75
Interquartile range (IQR)16.5625

Descriptive statistics

Standard deviation18.704873
Coefficient of variation (CV)0.17734377
Kurtosis19.119039
Mean105.4724
Median Absolute Deviation (MAD)7.5
Skewness-3.420528
Sum10547.24
Variance349.87229
MonotonicityNot monotonic
2023-12-10T20:41:25.995939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.0 4
 
4.0%
112.5 4
 
4.0%
96.5 3
 
3.0%
115.75 3
 
3.0%
102.5 3
 
3.0%
100.0 2
 
2.0%
105.5 2
 
2.0%
102.0 2
 
2.0%
109.5 2
 
2.0%
121.5 2
 
2.0%
Other values (64) 73
73.0%
ValueCountFrequency (%)
0.0 2
2.0%
90.25 1
 
1.0%
91.25 2
2.0%
91.5 1
 
1.0%
92.0 1
 
1.0%
93.25 1
 
1.0%
93.75 1
 
1.0%
94.5 1
 
1.0%
94.75 2
2.0%
96.5 3
3.0%
ValueCountFrequency (%)
145.75 1
1.0%
133.0 1
1.0%
132.25 1
1.0%
129.5 1
1.0%
126.25 1
1.0%
125.75 2
2.0%
124.5 1
1.0%
124.25 1
1.0%
123.25 1
1.0%
121.5 2
2.0%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.0042
Minimum0
Maximum112
Zeros59
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:26.237131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3100
95-th percentile107
Maximum112
Range112
Interquartile range (IQR)100

Descriptive statistics

Standard deviation49.769478
Coefficient of variation (CV)1.2137654
Kurtosis-1.8293822
Mean41.0042
Median Absolute Deviation (MAD)0
Skewness0.40863242
Sum4100.42
Variance2477.0009
MonotonicityNot monotonic
2023-12-10T20:41:26.414310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 59
59.0%
98.0 5
 
5.0%
106.0 5
 
5.0%
105.0 4
 
4.0%
107.0 3
 
3.0%
104.0 2
 
2.0%
100.0 2
 
2.0%
103.0 2
 
2.0%
101.0 1
 
1.0%
108.0 1
 
1.0%
Other values (16) 16
 
16.0%
ValueCountFrequency (%)
0.0 59
59.0%
69.0 1
 
1.0%
76.5 1
 
1.0%
82.0 1
 
1.0%
83.0 1
 
1.0%
92.0 1
 
1.0%
93.5 1
 
1.0%
93.75 1
 
1.0%
94.0 1
 
1.0%
96.5 1
 
1.0%
ValueCountFrequency (%)
112.0 1
 
1.0%
111.0 1
 
1.0%
110.0 1
 
1.0%
108.0 1
 
1.0%
107.0 3
3.0%
106.0 5
5.0%
105.0 4
4.0%
104.0 2
 
2.0%
103.67 1
 
1.0%
103.0 2
 
2.0%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.8735
Minimum0
Maximum159
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:26.626266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median89.71
Q3101.4975
95-th percentile118.1
Maximum159
Range159
Interquartile range (IQR)101.4975

Descriptive statistics

Standard deviation48.074541
Coefficient of variation (CV)0.69801217
Kurtosis-1.2375055
Mean68.8735
Median Absolute Deviation (MAD)16.375
Skewness-0.57950221
Sum6887.35
Variance2311.1615
MonotonicityNot monotonic
2023-12-10T20:41:26.876012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
31.0%
100.0 4
 
4.0%
101.0 3
 
3.0%
93.25 2
 
2.0%
87.67 2
 
2.0%
102.0 2
 
2.0%
92.0 2
 
2.0%
81.0 2
 
2.0%
89.0 2
 
2.0%
118.0 2
 
2.0%
Other values (46) 48
48.0%
ValueCountFrequency (%)
0.0 31
31.0%
74.33 1
 
1.0%
81.0 2
 
2.0%
81.75 1
 
1.0%
82.0 1
 
1.0%
82.67 1
 
1.0%
83.0 1
 
1.0%
84.67 1
 
1.0%
86.5 1
 
1.0%
86.75 2
 
2.0%
ValueCountFrequency (%)
159.0 1
1.0%
157.0 1
1.0%
124.0 1
1.0%
121.0 1
1.0%
120.0 1
1.0%
118.0 2
2.0%
116.5 1
1.0%
115.0 1
1.0%
114.0 1
1.0%
112.67 1
1.0%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.47
Minimum0
Maximum119
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:27.106870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78
Q382.625
95-th percentile93.3
Maximum119
Range119
Interquartile range (IQR)82.625

Descriptive statistics

Standard deviation41.068337
Coefficient of variation (CV)0.78270129
Kurtosis-1.6578506
Mean52.47
Median Absolute Deviation (MAD)10
Skewness-0.4362782
Sum5247
Variance1686.6083
MonotonicityNot monotonic
2023-12-10T20:41:27.332017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 37
37.0%
79.0 7
 
7.0%
78.0 4
 
4.0%
81.0 4
 
4.0%
83.0 3
 
3.0%
80.33 2
 
2.0%
88.0 2
 
2.0%
86.25 2
 
2.0%
110.0 2
 
2.0%
93.0 2
 
2.0%
Other values (33) 35
35.0%
ValueCountFrequency (%)
0.0 37
37.0%
65.0 1
 
1.0%
67.0 1
 
1.0%
72.5 1
 
1.0%
73.0 1
 
1.0%
75.33 1
 
1.0%
75.5 1
 
1.0%
75.75 1
 
1.0%
76.25 1
 
1.0%
76.75 1
 
1.0%
ValueCountFrequency (%)
119.0 1
1.0%
110.0 2
2.0%
102.0 1
1.0%
99.0 1
1.0%
93.0 2
2.0%
92.0 1
1.0%
90.0 2
2.0%
88.0 2
2.0%
87.75 1
1.0%
87.0 1
1.0%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.3623
Minimum0
Maximum102
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:27.585206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75.415
Q382
95-th percentile91.7625
Maximum102
Range102
Interquartile range (IQR)82

Descriptive statistics

Standard deviation38.924478
Coefficient of variation (CV)0.72943778
Kurtosis-1.545729
Mean53.3623
Median Absolute Deviation (MAD)10.21
Skewness-0.61237541
Sum5336.23
Variance1515.115
MonotonicityNot monotonic
2023-12-10T20:41:27.835039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
34.0%
86.0 3
 
3.0%
78.25 3
 
3.0%
83.0 2
 
2.0%
73.0 2
 
2.0%
74.0 2
 
2.0%
75.0 2
 
2.0%
83.33 2
 
2.0%
76.0 2
 
2.0%
76.5 2
 
2.0%
Other values (45) 46
46.0%
ValueCountFrequency (%)
0.0 34
34.0%
69.75 1
 
1.0%
70.5 1
 
1.0%
70.67 1
 
1.0%
71.33 1
 
1.0%
71.5 1
 
1.0%
73.0 2
 
2.0%
73.25 1
 
1.0%
73.5 1
 
1.0%
74.0 2
 
2.0%
ValueCountFrequency (%)
102.0 1
1.0%
99.0 1
1.0%
95.5 1
1.0%
94.5 1
1.0%
92.0 1
1.0%
91.75 1
1.0%
91.0 1
1.0%
90.5 1
1.0%
90.0 1
1.0%
89.0 1
1.0%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.4592
Minimum0
Maximum94
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:28.062384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28.5
Q382.0825
95-th percentile88
Maximum94
Range94
Interquartile range (IQR)82.0825

Descriptive statistics

Standard deviation40.941279
Coefficient of variation (CV)1.0119152
Kurtosis-1.9926733
Mean40.4592
Median Absolute Deviation (MAD)28.5
Skewness0.038741261
Sum4045.92
Variance1676.1883
MonotonicityNot monotonic
2023-12-10T20:41:28.284169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 50
50.0%
88.0 4
 
4.0%
82.0 3
 
3.0%
85.0 3
 
3.0%
76.5 2
 
2.0%
87.0 2
 
2.0%
76.0 2
 
2.0%
74.0 2
 
2.0%
79.0 2
 
2.0%
70.0 2
 
2.0%
Other values (26) 28
28.0%
ValueCountFrequency (%)
0.0 50
50.0%
57.0 1
 
1.0%
68.33 1
 
1.0%
70.0 2
 
2.0%
72.5 1
 
1.0%
73.0 2
 
2.0%
74.0 2
 
2.0%
75.0 1
 
1.0%
76.0 2
 
2.0%
76.5 2
 
2.0%
ValueCountFrequency (%)
94.0 1
 
1.0%
89.5 1
 
1.0%
88.5 1
 
1.0%
88.0 4
4.0%
87.0 2
2.0%
86.67 1
 
1.0%
86.5 1
 
1.0%
86.25 1
 
1.0%
86.0 1
 
1.0%
85.5 1
 
1.0%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.4883
Minimum0
Maximum101
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:28.535911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380.4375
95-th percentile90.125
Maximum101
Range101
Interquartile range (IQR)80.4375

Descriptive statistics

Standard deviation41.019232
Coefficient of variation (CV)1.1241749
Kurtosis-1.8869796
Mean36.4883
Median Absolute Deviation (MAD)0
Skewness0.26988999
Sum3648.83
Variance1682.5774
MonotonicityNot monotonic
2023-12-10T20:41:28.790176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 55
55.0%
86.0 3
 
3.0%
79.0 3
 
3.0%
78.0 2
 
2.0%
87.0 2
 
2.0%
83.5 2
 
2.0%
85.0 2
 
2.0%
83.0 2
 
2.0%
74.0 2
 
2.0%
92.5 1
 
1.0%
Other values (26) 26
26.0%
ValueCountFrequency (%)
0.0 55
55.0%
50.0 1
 
1.0%
59.67 1
 
1.0%
65.75 1
 
1.0%
68.0 1
 
1.0%
71.33 1
 
1.0%
72.0 1
 
1.0%
74.0 2
 
2.0%
75.5 1
 
1.0%
75.75 1
 
1.0%
ValueCountFrequency (%)
101.0 1
1.0%
98.0 1
1.0%
95.33 1
1.0%
93.33 1
1.0%
92.5 1
1.0%
90.0 1
1.0%
88.67 1
1.0%
88.0 1
1.0%
87.0 2
2.0%
86.5 1
1.0%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5591
Minimum0
Maximum96
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:29.011062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q375.085
95-th percentile85
Maximum96
Range96
Interquartile range (IQR)75.085

Descriptive statistics

Standard deviation36.475947
Coefficient of variation (CV)1.6169061
Kurtosis-0.95114025
Mean22.5591
Median Absolute Deviation (MAD)0
Skewness1.0170712
Sum2255.91
Variance1330.4947
MonotonicityNot monotonic
2023-12-10T20:41:29.230482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 72
72.0%
80.75 2
 
2.0%
78.5 2
 
2.0%
81.0 2
 
2.0%
82.0 2
 
2.0%
77.0 2
 
2.0%
83.0 2
 
2.0%
78.0 2
 
2.0%
85.0 2
 
2.0%
65.5 1
 
1.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 72
72.0%
65.5 1
 
1.0%
74.0 1
 
1.0%
74.67 1
 
1.0%
76.33 1
 
1.0%
76.5 1
 
1.0%
77.0 2
 
2.0%
77.33 1
 
1.0%
78.0 2
 
2.0%
78.5 2
 
2.0%
ValueCountFrequency (%)
96.0 1
1.0%
89.5 1
1.0%
87.33 1
1.0%
86.0 1
1.0%
85.0 2
2.0%
83.25 1
1.0%
83.0 2
2.0%
82.0 2
2.0%
81.0 2
2.0%
80.75 2
2.0%

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

2023-12-10T20:41:29.436065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:29.934464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5991
Minimum0
Maximum102.5
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:30.102977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q375.8125
95-th percentile85.05
Maximum102.5
Range102.5
Interquartile range (IQR)75.8125

Descriptive statistics

Standard deviation38.561339
Coefficient of variation (CV)1.348341
Kurtosis-1.570514
Mean28.5991
Median Absolute Deviation (MAD)0
Skewness0.632558
Sum2859.91
Variance1486.9769
MonotonicityNot monotonic
2023-12-10T20:41:30.321747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 64
64.0%
79.0 2
 
2.0%
75.0 2
 
2.0%
80.0 2
 
2.0%
84.0 2
 
2.0%
85.0 2
 
2.0%
65.0 1
 
1.0%
93.0 1
 
1.0%
87.33 1
 
1.0%
78.0 1
 
1.0%
Other values (22) 22
 
22.0%
ValueCountFrequency (%)
0.0 64
64.0%
65.0 1
 
1.0%
67.25 1
 
1.0%
68.0 1
 
1.0%
72.0 1
 
1.0%
73.0 1
 
1.0%
73.5 1
 
1.0%
74.25 1
 
1.0%
74.67 1
 
1.0%
75.0 2
 
2.0%
ValueCountFrequency (%)
102.5 1
1.0%
93.0 1
1.0%
89.33 1
1.0%
87.33 1
1.0%
86.0 1
1.0%
85.0 2
2.0%
84.0 2
2.0%
83.33 1
1.0%
82.0 1
1.0%
81.25 1
1.0%

11종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
99 
88
 
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%
88 1
 
1.0%

Length

2023-12-10T20:41:30.509095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:30.686702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
88 1
 
1.0%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.11
Minimum0
Maximum99
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:30.847870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371.6875
95-th percentile86.0335
Maximum99
Range99
Interquartile range (IQR)71.6875

Descriptive statistics

Standard deviation36.559537
Coefficient of variation (CV)1.5819791
Kurtosis-0.99849488
Mean23.11
Median Absolute Deviation (MAD)0
Skewness0.97997929
Sum2311
Variance1336.5998
MonotonicityNot monotonic
2023-12-10T20:41:31.073604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 71
71.0%
71.0 3
 
3.0%
80.0 2
 
2.0%
74.0 2
 
2.0%
81.0 2
 
2.0%
77.0 2
 
2.0%
83.67 1
 
1.0%
82.67 1
 
1.0%
86.67 1
 
1.0%
77.33 1
 
1.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
0.0 71
71.0%
62.0 1
 
1.0%
71.0 3
 
3.0%
73.75 1
 
1.0%
74.0 2
 
2.0%
75.33 1
 
1.0%
75.75 1
 
1.0%
76.0 1
 
1.0%
77.0 2
 
2.0%
77.33 1
 
1.0%
ValueCountFrequency (%)
99.0 1
1.0%
93.33 1
1.0%
89.0 1
1.0%
87.5 1
1.0%
86.67 1
1.0%
86.0 1
1.0%
85.0 1
1.0%
83.67 1
1.0%
82.67 1
1.0%
82.5 1
1.0%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.16
Minimum0
Maximum133
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:31.299026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114.5
median27
Q341
95-th percentile75.8
Maximum133
Range133
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation26.975754
Coefficient of variation (CV)0.83879833
Kurtosis4.4808683
Mean32.16
Median Absolute Deviation (MAD)14
Skewness1.8741574
Sum3216
Variance727.69131
MonotonicityNot monotonic
2023-12-10T20:41:31.554232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 5
 
5.0%
31 5
 
5.0%
25 4
 
4.0%
10 4
 
4.0%
3 4
 
4.0%
27 4
 
4.0%
62 3
 
3.0%
4 3
 
3.0%
33 3
 
3.0%
24 3
 
3.0%
Other values (44) 62
62.0%
ValueCountFrequency (%)
0 2
2.0%
1 1
 
1.0%
2 1
 
1.0%
3 4
4.0%
4 3
3.0%
6 1
 
1.0%
7 1
 
1.0%
8 2
2.0%
9 2
2.0%
10 4
4.0%
ValueCountFrequency (%)
133 2
2.0%
123 1
 
1.0%
121 1
 
1.0%
91 1
 
1.0%
75 1
 
1.0%
71 1
 
1.0%
66 1
 
1.0%
62 3
3.0%
59 2
2.0%
56 1
 
1.0%

2종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.28
Minimum0
Maximum30
Zeros59
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:31.739541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4788829
Coefficient of variation (CV)2.7178773
Kurtosis48.785267
Mean1.28
Median Absolute Deviation (MAD)0
Skewness6.3637773
Sum128
Variance12.102626
MonotonicityNot monotonic
2023-12-10T20:41:31.886633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 59
59.0%
1 21
 
21.0%
3 6
 
6.0%
4 4
 
4.0%
2 4
 
4.0%
5 3
 
3.0%
30 1
 
1.0%
6 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
0 59
59.0%
1 21
 
21.0%
2 4
 
4.0%
3 6
 
6.0%
4 4
 
4.0%
5 3
 
3.0%
6 1
 
1.0%
14 1
 
1.0%
30 1
 
1.0%
ValueCountFrequency (%)
30 1
 
1.0%
14 1
 
1.0%
6 1
 
1.0%
5 3
 
3.0%
4 4
 
4.0%
3 6
 
6.0%
2 4
 
4.0%
1 21
 
21.0%
0 59
59.0%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.43
Minimum0
Maximum20
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:32.068458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q36
95-th percentile12
Maximum20
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.2432478
Coefficient of variation (CV)1.2370985
Kurtosis2.0585861
Mean3.43
Median Absolute Deviation (MAD)1.5
Skewness1.5125565
Sum343
Variance18.005152
MonotonicityNot monotonic
2023-12-10T20:41:32.320433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 31
31.0%
1 19
19.0%
2 10
 
10.0%
4 6
 
6.0%
6 6
 
6.0%
5 4
 
4.0%
8 4
 
4.0%
9 4
 
4.0%
3 4
 
4.0%
12 3
 
3.0%
Other values (7) 9
 
9.0%
ValueCountFrequency (%)
0 31
31.0%
1 19
19.0%
2 10
 
10.0%
3 4
 
4.0%
4 6
 
6.0%
5 4
 
4.0%
6 6
 
6.0%
7 2
 
2.0%
8 4
 
4.0%
9 4
 
4.0%
ValueCountFrequency (%)
20 1
 
1.0%
16 1
 
1.0%
14 1
 
1.0%
13 1
 
1.0%
12 3
3.0%
11 1
 
1.0%
10 2
2.0%
9 4
4.0%
8 4
4.0%
7 2
2.0%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.08
Minimum0
Maximum51
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:32.532246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile19.05
Maximum51
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.9298439
Coefficient of variation (CV)1.5609929
Kurtosis11.413928
Mean5.08
Median Absolute Deviation (MAD)2
Skewness2.841117
Sum508
Variance62.882424
MonotonicityNot monotonic
2023-12-10T20:41:32.724729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 37
37.0%
1 12
 
12.0%
3 6
 
6.0%
4 6
 
6.0%
5 5
 
5.0%
2 5
 
5.0%
8 4
 
4.0%
14 3
 
3.0%
6 3
 
3.0%
7 2
 
2.0%
Other values (12) 17
17.0%
ValueCountFrequency (%)
0 37
37.0%
1 12
 
12.0%
2 5
 
5.0%
3 6
 
6.0%
4 6
 
6.0%
5 5
 
5.0%
6 3
 
3.0%
7 2
 
2.0%
8 4
 
4.0%
9 2
 
2.0%
ValueCountFrequency (%)
51 1
 
1.0%
31 1
 
1.0%
23 2
2.0%
20 1
 
1.0%
19 1
 
1.0%
18 2
2.0%
17 1
 
1.0%
16 1
 
1.0%
15 1
 
1.0%
14 3
3.0%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.05
Minimum0
Maximum68
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:32.911490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q39.25
95-th percentile30.4
Maximum68
Range68
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation12.388798
Coefficient of variation (CV)1.7572764
Kurtosis11.157831
Mean7.05
Median Absolute Deviation (MAD)2
Skewness3.1215438
Sum705
Variance153.48232
MonotonicityNot monotonic
2023-12-10T20:41:33.154746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 34
34.0%
1 10
 
10.0%
2 9
 
9.0%
3 7
 
7.0%
8 5
 
5.0%
4 4
 
4.0%
10 4
 
4.0%
14 3
 
3.0%
5 3
 
3.0%
13 2
 
2.0%
Other values (16) 19
19.0%
ValueCountFrequency (%)
0 34
34.0%
1 10
 
10.0%
2 9
 
9.0%
3 7
 
7.0%
4 4
 
4.0%
5 3
 
3.0%
7 2
 
2.0%
8 5
 
5.0%
9 1
 
1.0%
10 4
 
4.0%
ValueCountFrequency (%)
68 1
1.0%
66 1
1.0%
45 1
1.0%
44 1
1.0%
38 1
1.0%
30 1
1.0%
23 1
1.0%
20 1
1.0%
19 2
2.0%
17 1
1.0%

6종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.99
Minimum0
Maximum24
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:33.370213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q33
95-th percentile7
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2767778
Coefficient of variation (CV)1.646622
Kurtosis19.954639
Mean1.99
Median Absolute Deviation (MAD)0.5
Skewness3.5789729
Sum199
Variance10.737273
MonotonicityNot monotonic
2023-12-10T20:41:33.517055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 50
50.0%
1 11
 
11.0%
3 9
 
9.0%
2 8
 
8.0%
4 6
 
6.0%
6 6
 
6.0%
5 4
 
4.0%
7 3
 
3.0%
10 2
 
2.0%
24 1
 
1.0%
ValueCountFrequency (%)
0 50
50.0%
1 11
 
11.0%
2 8
 
8.0%
3 9
 
9.0%
4 6
 
6.0%
5 4
 
4.0%
6 6
 
6.0%
7 3
 
3.0%
10 2
 
2.0%
24 1
 
1.0%
ValueCountFrequency (%)
24 1
 
1.0%
10 2
 
2.0%
7 3
 
3.0%
6 6
 
6.0%
5 4
 
4.0%
4 6
 
6.0%
3 9
 
9.0%
2 8
 
8.0%
1 11
 
11.0%
0 50
50.0%

7종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7
Minimum0
Maximum98
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:33.680672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum98
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.131958
Coefficient of variation (CV)3.7525769
Kurtosis81.061248
Mean2.7
Median Absolute Deviation (MAD)0
Skewness8.6505302
Sum270
Variance102.65657
MonotonicityNot monotonic
2023-12-10T20:41:33.845712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 55
55.0%
1 14
 
14.0%
2 7
 
7.0%
4 5
 
5.0%
5 4
 
4.0%
6 4
 
4.0%
8 3
 
3.0%
3 3
 
3.0%
7 2
 
2.0%
22 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0 55
55.0%
1 14
 
14.0%
2 7
 
7.0%
3 3
 
3.0%
4 5
 
5.0%
5 4
 
4.0%
6 4
 
4.0%
7 2
 
2.0%
8 3
 
3.0%
11 1
 
1.0%
ValueCountFrequency (%)
98 1
 
1.0%
22 1
 
1.0%
11 1
 
1.0%
8 3
3.0%
7 2
 
2.0%
6 4
4.0%
5 4
4.0%
4 5
5.0%
3 3
3.0%
2 7
7.0%

8종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82
Minimum0
Maximum7
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:34.035587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.05
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6719915
Coefficient of variation (CV)2.039014
Kurtosis4.7978017
Mean0.82
Median Absolute Deviation (MAD)0
Skewness2.3154731
Sum82
Variance2.7955556
MonotonicityNot monotonic
2023-12-10T20:41:34.221419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 72
72.0%
1 8
 
8.0%
2 7
 
7.0%
3 5
 
5.0%
6 3
 
3.0%
4 2
 
2.0%
7 2
 
2.0%
5 1
 
1.0%
ValueCountFrequency (%)
0 72
72.0%
1 8
 
8.0%
2 7
 
7.0%
3 5
 
5.0%
4 2
 
2.0%
5 1
 
1.0%
6 3
 
3.0%
7 2
 
2.0%
ValueCountFrequency (%)
7 2
 
2.0%
6 3
 
3.0%
5 1
 
1.0%
4 2
 
2.0%
3 5
 
5.0%
2 7
 
7.0%
1 8
 
8.0%
0 72
72.0%

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

2023-12-10T20:41:34.427461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:34.600137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

10종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.56
Minimum0
Maximum14
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:34.840712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.0627115
Coefficient of variation (CV)1.9632766
Kurtosis4.703346
Mean1.56
Median Absolute Deviation (MAD)0
Skewness2.3063125
Sum156
Variance9.380202
MonotonicityNot monotonic
2023-12-10T20:41:35.074624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 64
64.0%
1 12
 
12.0%
9 4
 
4.0%
3 4
 
4.0%
4 4
 
4.0%
2 4
 
4.0%
7 2
 
2.0%
14 1
 
1.0%
6 1
 
1.0%
11 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 64
64.0%
1 12
 
12.0%
2 4
 
4.0%
3 4
 
4.0%
4 4
 
4.0%
5 1
 
1.0%
6 1
 
1.0%
7 2
 
2.0%
9 4
 
4.0%
10 1
 
1.0%
ValueCountFrequency (%)
14 1
 
1.0%
12 1
 
1.0%
11 1
 
1.0%
10 1
 
1.0%
9 4
4.0%
7 2
2.0%
6 1
 
1.0%
5 1
 
1.0%
4 4
4.0%
3 4
4.0%

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

2023-12-10T20:41:35.308358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:41:35.482695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
1 1
 
1.0%

12종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.24
Minimum0
Maximum26
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:35.656614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5394458
Coefficient of variation (CV)2.8543918
Kurtosis28.572321
Mean1.24
Median Absolute Deviation (MAD)0
Skewness4.9009313
Sum124
Variance12.527677
MonotonicityNot monotonic
2023-12-10T20:41:35.860843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 71
71.0%
1 12
 
12.0%
2 4
 
4.0%
7 3
 
3.0%
4 3
 
3.0%
6 2
 
2.0%
3 2
 
2.0%
18 1
 
1.0%
9 1
 
1.0%
26 1
 
1.0%
ValueCountFrequency (%)
0 71
71.0%
1 12
 
12.0%
2 4
 
4.0%
3 2
 
2.0%
4 3
 
3.0%
6 2
 
2.0%
7 3
 
3.0%
9 1
 
1.0%
18 1
 
1.0%
26 1
 
1.0%
ValueCountFrequency (%)
26 1
 
1.0%
18 1
 
1.0%
9 1
 
1.0%
7 3
 
3.0%
6 2
 
2.0%
4 3
 
3.0%
3 2
 
2.0%
2 4
 
4.0%
1 12
 
12.0%
0 71
71.0%

차량통과수(대)
Real number (ℝ)

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.32
Minimum1
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:36.093016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q121
median44
Q384.25
95-th percentile147.55
Maximum244
Range243
Interquartile range (IQR)63.25

Descriptive statistics

Standard deviation47.551754
Coefficient of variation (CV)0.82958398
Kurtosis2.1188834
Mean57.32
Median Absolute Deviation (MAD)29
Skewness1.3316903
Sum5732
Variance2261.1693
MonotonicityNot monotonic
2023-12-10T20:41:36.332610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
6.0%
3 5
 
5.0%
36 4
 
4.0%
77 3
 
3.0%
12 3
 
3.0%
93 3
 
3.0%
40 3
 
3.0%
31 3
 
3.0%
30 2
 
2.0%
50 2
 
2.0%
Other values (55) 66
66.0%
ValueCountFrequency (%)
1 1
 
1.0%
3 5
5.0%
4 2
 
2.0%
5 2
 
2.0%
6 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
11 1
 
1.0%
12 3
3.0%
13 1
 
1.0%
ValueCountFrequency (%)
244 1
1.0%
204 1
1.0%
173 1
1.0%
159 1
1.0%
158 1
1.0%
147 1
1.0%
138 2
2.0%
136 1
1.0%
130 1
1.0%
117 1
1.0%

평균 속도(km)
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.8138
Minimum75.5
Maximum145.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:36.541822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.5
5-th percentile80.849
Q186.345
median94.77
Q3110.875
95-th percentile125.7565
Maximum145.75
Range70.25
Interquartile range (IQR)24.53

Descriptive statistics

Standard deviation15.17419
Coefficient of variation (CV)0.15356347
Kurtosis-0.47159284
Mean98.8138
Median Absolute Deviation (MAD)11.88
Skewness0.58632148
Sum9881.38
Variance230.25604
MonotonicityNot monotonic
2023-12-10T20:41:36.784549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.25 2
 
2.0%
109.5 2
 
2.0%
87.64 1
 
1.0%
82.71 1
 
1.0%
110.5 1
 
1.0%
91.21 1
 
1.0%
117.88 1
 
1.0%
91.28 1
 
1.0%
104.58 1
 
1.0%
84.84 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
75.5 1
1.0%
79.32 1
1.0%
79.98 1
1.0%
80.1 1
1.0%
80.83 1
1.0%
80.85 1
1.0%
80.92 1
1.0%
81.1 1
1.0%
81.14 1
1.0%
81.8 1
1.0%
ValueCountFrequency (%)
145.75 1
1.0%
132.25 1
1.0%
129.5 1
1.0%
126.25 1
1.0%
125.88 1
1.0%
125.75 1
1.0%
122.62 1
1.0%
119.62 1
1.0%
119.25 1
1.0%
117.88 1
1.0%

위도(°)
Real number (ℝ)

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.267575
Minimum34.959722
Maximum35.835556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:37.014174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.959722
5-th percentile34.978889
Q135.056389
median35.247222
Q335.306944
95-th percentile35.771111
Maximum35.835556
Range0.87583334
Interquartile range (IQR)0.25055555

Descriptive statistics

Standard deviation0.22777727
Coefficient of variation (CV)0.0064585465
Kurtosis0.52524235
Mean35.267575
Median Absolute Deviation (MAD)0.08138889
Skewness0.93333801
Sum3526.7575
Variance0.051882485
MonotonicityNot monotonic
2023-12-10T20:41:37.210520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.02027778 8
 
8.0%
35.26972222 8
 
8.0%
35.19972222 7
 
7.0%
35.29388889 6
 
6.0%
35.30694444 6
 
6.0%
35.23666667 6
 
6.0%
35.32861111 4
 
4.0%
35.22361111 4
 
4.0%
35.24722222 4
 
4.0%
35.37083333 4
 
4.0%
Other values (11) 43
43.0%
ValueCountFrequency (%)
34.95972222 4
4.0%
34.97888889 3
 
3.0%
35.00805556 4
4.0%
35.01694444 4
4.0%
35.02027778 8
8.0%
35.05638889 4
4.0%
35.19972222 7
7.0%
35.22361111 4
4.0%
35.23666667 6
6.0%
35.23777778 4
4.0%
ValueCountFrequency (%)
35.83555556 4
4.0%
35.77111111 4
4.0%
35.63805556 4
4.0%
35.56055556 4
4.0%
35.37083333 4
4.0%
35.32861111 4
4.0%
35.30694444 6
6.0%
35.29388889 6
6.0%
35.26972222 8
8.0%
35.265 4
4.0%

경도(°)
Real number (ℝ)

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.73953
Minimum126.41639
Maximum130.08667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:41:37.416385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.41639
5-th percentile126.45639
Q1126.96139
median127.34583
Q3128.44472
95-th percentile129.51306
Maximum130.08667
Range3.6702778
Interquartile range (IQR)1.4833333

Descriptive statistics

Standard deviation1.0362326
Coefficient of variation (CV)0.0081120749
Kurtosis-0.73391239
Mean127.73953
Median Absolute Deviation (MAD)0.5138889
Skewness0.71213676
Sum12773.953
Variance1.073778
MonotonicityNot monotonic
2023-12-10T20:41:37.626132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
128.1897222 8
 
8.0%
126.9327778 7
 
7.0%
129.0072222 6
 
6.0%
129.0747222 6
 
6.0%
126.9613889 6
 
6.0%
126.8775 4
 
4.0%
126.9947222 4
 
4.0%
126.99944440000002 4
 
4.0%
126.8041667 4
 
4.0%
127.1933333 4
 
4.0%
Other values (12) 47
47.0%
ValueCountFrequency (%)
126.4163889 4
4.0%
126.4563889 4
4.0%
126.8041667 4
4.0%
126.8775 4
4.0%
126.9327778 7
7.0%
126.9613889 6
6.0%
126.9725 4
4.0%
126.97305559999998 4
4.0%
126.9947222 4
4.0%
126.99944440000002 4
4.0%
ValueCountFrequency (%)
130.08666670000002 4
4.0%
129.51305559999997 4
4.0%
129.1838889 4
4.0%
129.0747222 6
6.0%
129.0072222 6
6.0%
128.4447222 4
4.0%
128.1897222 8
8.0%
127.8597222 4
4.0%
127.62833329999998 4
4.0%
127.5488889 3
 
3.0%

기울기(°)
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0161
Minimum-3.9
Maximum3.07
Zeros7
Zeros (%)7.0%
Negative46
Negative (%)46.0%
Memory size1.0 KiB
2023-12-10T20:41:37.877104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.9
5-th percentile-2.13
Q1-0.7
median0
Q30.6425
95-th percentile2.051
Maximum3.07
Range6.97
Interquartile range (IQR)1.3425

Descriptive statistics

Standard deviation1.3023591
Coefficient of variation (CV)-80.891869
Kurtosis0.93174304
Mean-0.0161
Median Absolute Deviation (MAD)0.7
Skewness-0.15769917
Sum-1.61
Variance1.6961392
MonotonicityNot monotonic
2023-12-10T20:41:38.106654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 7
 
7.0%
-0.5 5
 
5.0%
0.5 5
 
5.0%
0.62 4
 
4.0%
-1.0 4
 
4.0%
0.99 4
 
4.0%
0.44 4
 
4.0%
-0.18 4
 
4.0%
0.12 4
 
4.0%
0.3 3
 
3.0%
Other values (27) 56
56.0%
ValueCountFrequency (%)
-3.9 1
 
1.0%
-3.15 3
3.0%
-2.13 2
2.0%
-1.9 2
2.0%
-1.6 2
2.0%
-1.54 2
2.0%
-1.26 2
2.0%
-1.07 2
2.0%
-1.0 4
4.0%
-0.99 2
2.0%
ValueCountFrequency (%)
3.07 3
3.0%
2.64 2
2.0%
2.02 2
2.0%
1.87 2
2.0%
1.6 2
2.0%
1.09 2
2.0%
0.99 4
4.0%
0.98 2
2.0%
0.92 2
2.0%
0.84 2
2.0%

주소
Categorical

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경남 진주시 가좌동
광주 북구 석곡동
경남 양산시 물금읍
 
6
경남 양산시 동면
 
6
전남 담양군 고서면 주산리
 
6
Other values (17)
67 

Length

Max length14
Median length14
Mean length12.27
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남 진주시 가좌동 8
 
8.0%
광주 북구 석곡동 7
 
7.0%
경남 양산시 물금읍 6
 
6.0%
경남 양산시 동면 6
 
6.0%
전남 담양군 고서면 주산리 6
 
6.0%
전남 무안군 현경면 평산리 4
 
4.0%
경남 김해시 대동면 대감리 4
 
4.0%
경남 하동군 고전면 4
 
4.0%
울산 울주군 언양읍 반곡리 4
 
4.0%
대구 달성군 구지면 예천리 4
 
4.0%
Other values (12) 47
47.0%

Length

2023-12-10T20:41:38.335009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전남 53
 
14.7%
경남 32
 
8.9%
담양군 22
 
6.1%
고서면 14
 
3.9%
양산시 12
 
3.3%
진주시 8
 
2.2%
현경면 8
 
2.2%
무안군 8
 
2.2%
김해시 8
 
2.2%
가좌동 8
 
2.2%
Other values (43) 188
52.1%

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
01도로공사20200401A-5510-0116E-6S3물금IC-대동JC11.6096.5107.093.579.069.7582.3378.065.5075.75083.6741151615352090710481.1435.293889129.007222-0.31경남 양산시 물금읍
12도로공사20200401A-5510-0116E-6S1물금IC-대동JC11.60115.250.00.00.00.00.00.00.000.000.0490000000000049115.2535.293889129.007222-0.31경남 양산시 물금읍
23도로공사20200401A-5510-0116E-6S2물금IC-대동JC11.6099.00.095.2581.2579.583.578.00.0072.000.0121012183210010015888.8635.293889129.007222-0.31경남 양산시 물금읍
34도로공사20200401A-5510-0116E-6E1대동JC-물금IC11.60112.5106.0110.00.00.00.00.00.000.000.0751100000000077112.035.293889129.0072220.3경남 양산시 물금읍
45도로공사20200401A-5510-0116E-6E2대동JC-물금IC11.6094.7594.00.084.2583.082.082.750.0083.33080.013310235340030117385.9135.293889129.0072220.3경남 양산시 물금읍
56도로공사20200401A-5510-0116E-6E3대동JC-물금IC11.6091.250.081.076.2570.582.075.750.0079.2500.0710918165500140013879.3235.293889129.0072220.3경남 양산시 물금읍
67도로공사20200401A-6000-0062E-4S1한림IC-진영IC6.23093.250.00.00.00.00.00.00.000.000.027000000000002793.2535.835556129.513056-1.07경남 김해시 진영읍 설창리
78도로공사20200401A-6000-0062E-4S2한림IC-진영IC6.23099.582.091.079.077.3379.6775.578.5075.0071.027178842203016382.8635.835556129.513056-1.07경남 김해시 진영읍 설창리
89도로공사20200401A-6000-0062E-4E1진영IC-한림IC6.230115.00.0124.00.00.00.098.00.000.000.0310100010000033115.035.835556129.5130561.09경남 김해시 진영읍 설창리
910도로공사20200401A-6000-0062E-4E2진영IC-한림IC6.23099.50.092.6779.088.076.6765.750.000.0073.754101351780000189380.8335.835556129.5130561.09경남 김해시 진영읍 설창리
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
9091도로공사20200401A-0140-0388E-4S2대덕JC-담양JC38.80101.250.00.078.6777.583.093.3383.2500.0086.6710005225600033387.9835.247222126.999444-0.99전남 담양군 고서면 장화리
9192도로공사20200401A-0140-0388E-4E1담양JC-대덕JC38.80132.250.00.00.00.00.00.00.000.000.06000000000006132.2535.247222126.9994440.98전남 담양군 고서면 장화리
9293도로공사20200401A-0140-0388E-4E2담양JC-대덕JC38.8098.750.00.086.2574.079.085.082.000.000.08005331100002186.435.247222126.9994440.98전남 담양군 고서면 장화리
9394도로공사20200401A-0251-0652S-4S1고서JC-창평IC65.20123.250.0102.00.00.00.00.00.000.000.0200100000000021119.6235.223611126.9947220.5전남 담양군 고서면
9495도로공사20200401A-0251-0652S-4S2고서JC-창평IC65.2098.250.092.078.080.2583.50.00.0085.000.0280461030001005286.9635.223611126.9947220.5전남 담양군 고서면
9596도로공사20200401A-0251-0652S-4E1창평IC-고서JC65.20115.5106.0120.00.00.00.00.00.000.000.0281200000000031115.8335.223611126.994722-0.5전남 담양군 고서면
9697도로공사20200401A-0251-0652S-4E2창평IC-고서JC65.20100.75101.094.3383.7581.586.072.076.500.000.0621431712423000011788.235.223611126.994722-0.5전남 담양군 고서면
9798도로공사20200401A-0270-0044S-4S1순천JC-동순천IC4.40115.75104.0121.084.073.00.00.00.000.000.0191111000000023110.3834.978889127.5488892.64전남 순천시 왕지동 왕지길
9899도로공사20200401A-0270-0044S-4S2순천JC-동순천IC4.40102.0105.0103.580.575.3376.582.50.0084.0080.018234873001045086.5234.978889127.5488892.64전남 순천시 왕지동 왕지길
99100도로공사20200401A-0270-0044S-4E1동순천IC-순천JC4.40118.5106.0105.330.086.00.00.00.000.000.0131301000000018108.7534.978889127.548889-3.9전남 순천시 왕지동 왕지길