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

Numeric31
Categorical8

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
기본키 has unique valuesUnique
1종 차량 속도(km/hr) has unique valuesUnique
1종 차량수(대) has unique valuesUnique
차량통과수(대) has unique valuesUnique
5종 차량 속도(km/hr) has 5 (5.0%) zerosZeros
6종 차량 속도(km/hr) has 6 (6.0%) zerosZeros
7종 차량 속도(km/hr) has 12 (12.0%) zerosZeros
8종 차량 속도(km/hr) has 13 (13.0%) zerosZeros
9종 차량 속도(km/hr) has 56 (56.0%) zerosZeros
10종 차량 속도(km/hr) has 10 (10.0%) zerosZeros
11종 차량 속도(km/hr) has 55 (55.0%) zerosZeros
12종 차량 속도(km/hr) has 22 (22.0%) zerosZeros
5종 차량수(대) has 5 (5.0%) zerosZeros
6종 차량수(대) has 6 (6.0%) zerosZeros
7종 차량수(대) has 12 (12.0%) zerosZeros
8종 차량수(대) has 13 (13.0%) zerosZeros
9종 차량수(대) has 56 (56.0%) zerosZeros
10종 차량수(대) has 10 (10.0%) zerosZeros
11종 차량수(대) has 55 (55.0%) zerosZeros
12종 차량수(대) has 22 (22.0%) zerosZeros
기울기(°) has 7 (7.0%) zerosZeros

Reproduction

Analysis started2023-12-10 12:38:49.454030
Analysis finished2023-12-10 12:38:49.872190
Duration0.42 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
2023-12-10T21:38:49.945330image/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
2023-12-10T21:38:50.087862image/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

2023-12-10T21:38:50.242705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:38:50.345951image/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

2023-12-10T21:38:50.469613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:38:50.575801image/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

2023-12-10T21:38:50.698690image/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

2023-12-10T21:38:50.827160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:38:50.937052image/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

2023-12-10T21:38:51.053663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:38:51.216590image/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

2023-12-10T21:38:51.601331image/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
2023-12-10T21:38:51.756656image/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
2023-12-10T21:38:51.923154image/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

2023-12-10T21:38:52.049805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:38:52.141150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

1종 차량 속도(km/hr)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.3165
Minimum66.21
Maximum126.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:52.277046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.21
5-th percentile84.09
Q191.8175
median98.115
Q3106.865
95-th percentile118.1325
Maximum126.47
Range60.26
Interquartile range (IQR)15.0475

Descriptive statistics

Standard deviation11.616821
Coefficient of variation (CV)0.11696769
Kurtosis0.24452216
Mean99.3165
Median Absolute Deviation (MAD)7.72
Skewness0.082639303
Sum9931.65
Variance134.95054
MonotonicityNot monotonic
2023-12-10T21:38:52.474630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.87 1
 
1.0%
109.49 1
 
1.0%
104.98 1
 
1.0%
89.73 1
 
1.0%
102.74 1
 
1.0%
92.3 1
 
1.0%
107.77 1
 
1.0%
107.06 1
 
1.0%
126.42 1
 
1.0%
105.71 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
66.21 1
1.0%
71.4 1
1.0%
75.87 1
1.0%
78.15 1
1.0%
80.86 1
1.0%
84.26 1
1.0%
84.86 1
1.0%
85.27 1
1.0%
85.51 1
1.0%
85.92 1
1.0%
ValueCountFrequency (%)
126.47 1
1.0%
126.42 1
1.0%
124.72 1
1.0%
124.07 1
1.0%
118.94 1
1.0%
118.09 1
1.0%
117.32 1
1.0%
116.55 1
1.0%
116.0 1
1.0%
115.85 1
1.0%

2종 차량 속도(km/hr)
Real number (ℝ)

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.6957
Minimum0
Maximum109
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:52.652795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83.7505
Q193.745
median98.845
Q3102.585
95-th percentile105.7285
Maximum109
Range109
Interquartile range (IQR)8.84

Descriptive statistics

Standard deviation11.834718
Coefficient of variation (CV)0.12239136
Kurtosis45.109744
Mean96.6957
Median Absolute Deviation (MAD)4.17
Skewness-5.7184853
Sum9669.57
Variance140.06056
MonotonicityNot monotonic
2023-12-10T21:38:52.848488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.8 2
 
2.0%
99.38 2
 
2.0%
101.67 2
 
2.0%
104.0 2
 
2.0%
87.08 1
 
1.0%
104.1 1
 
1.0%
97.8 1
 
1.0%
102.34 1
 
1.0%
104.77 1
 
1.0%
108.63 1
 
1.0%
Other values (86) 86
86.0%
ValueCountFrequency (%)
0.0 1
1.0%
77.04 1
1.0%
77.6 1
1.0%
78.17 1
1.0%
81.67 1
1.0%
83.86 1
1.0%
87.0 1
1.0%
87.08 1
1.0%
87.44 1
1.0%
88.15 1
1.0%
ValueCountFrequency (%)
109.0 1
1.0%
108.98 1
1.0%
108.63 1
1.0%
106.29 1
1.0%
106.27 1
1.0%
105.7 1
1.0%
105.31 1
1.0%
105.16 1
1.0%
104.79 1
1.0%
104.77 1
1.0%

3종 차량 속도(km/hr)
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5409
Minimum75.46
Maximum123.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:53.024446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.46
5-th percentile83.974
Q190.2125
median96.985
Q3106.7025
95-th percentile117.395
Maximum123.75
Range48.29
Interquartile range (IQR)16.49

Descriptive statistics

Standard deviation10.9504
Coefficient of variation (CV)0.11112544
Kurtosis-0.6574205
Mean98.5409
Median Absolute Deviation (MAD)8.13
Skewness0.30706772
Sum9854.09
Variance119.91127
MonotonicityNot monotonic
2023-12-10T21:38:53.208876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.95 2
 
2.0%
80.69 1
 
1.0%
94.49 1
 
1.0%
108.88 1
 
1.0%
87.1 1
 
1.0%
103.08 1
 
1.0%
90.42 1
 
1.0%
110.86 1
 
1.0%
96.71 1
 
1.0%
118.82 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
75.46 1
1.0%
76.76 1
1.0%
80.69 1
1.0%
82.38 1
1.0%
83.48 1
1.0%
84.0 1
1.0%
84.23 1
1.0%
84.71 1
1.0%
85.29 1
1.0%
85.82 1
1.0%
ValueCountFrequency (%)
123.75 1
1.0%
123.04 1
1.0%
121.14 1
1.0%
118.82 1
1.0%
118.25 1
1.0%
117.35 1
1.0%
116.96 1
1.0%
115.01 1
1.0%
114.83 1
1.0%
113.66 1
1.0%

4종 차량 속도(km/hr)
Real number (ℝ)

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.2046
Minimum69.65
Maximum126.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:53.353808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.65
5-th percentile75.1205
Q179.8
median85.565
Q393.7075
95-th percentile107.651
Maximum126.8
Range57.15
Interquartile range (IQR)13.9075

Descriptive statistics

Standard deviation10.982491
Coefficient of variation (CV)0.12451154
Kurtosis1.6948246
Mean88.2046
Median Absolute Deviation (MAD)6.725
Skewness1.1521927
Sum8820.46
Variance120.61511
MonotonicityNot monotonic
2023-12-10T21:38:53.530956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.38 2
 
2.0%
79.8 2
 
2.0%
71.08 1
 
1.0%
81.19 1
 
1.0%
91.13 1
 
1.0%
85.44 1
 
1.0%
98.07 1
 
1.0%
82.18 1
 
1.0%
90.17 1
 
1.0%
83.27 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
69.65 1
1.0%
71.08 1
1.0%
73.44 1
1.0%
73.72 1
1.0%
74.37 1
1.0%
75.16 1
1.0%
75.6 1
1.0%
75.78 1
1.0%
76.54 1
1.0%
76.94 1
1.0%
ValueCountFrequency (%)
126.8 1
1.0%
121.0 1
1.0%
119.0 1
1.0%
117.96 1
1.0%
110.9 1
1.0%
107.48 1
1.0%
107.3 1
1.0%
106.89 1
1.0%
101.73 1
1.0%
101.51 1
1.0%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.7172
Minimum0
Maximum101
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:53.716003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64.467
Q177.585
median81.615
Q387.095
95-th percentile98.5565
Maximum101
Range101
Interquartile range (IQR)9.51

Descriptive statistics

Standard deviation19.5343
Coefficient of variation (CV)0.24815797
Kurtosis11.179792
Mean78.7172
Median Absolute Deviation (MAD)4.84
Skewness-3.2554499
Sum7871.72
Variance381.58889
MonotonicityNot monotonic
2023-12-10T21:38:53.882374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5
 
5.0%
81.01 2
 
2.0%
70.27 1
 
1.0%
71.99 1
 
1.0%
89.59 1
 
1.0%
99.63 1
 
1.0%
81.93 1
 
1.0%
86.74 1
 
1.0%
78.55 1
 
1.0%
85.9 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
0.0 5
5.0%
67.86 1
 
1.0%
68.57 1
 
1.0%
69.02 1
 
1.0%
69.67 1
 
1.0%
69.89 1
 
1.0%
70.27 1
 
1.0%
70.75 1
 
1.0%
71.99 1
 
1.0%
73.39 1
 
1.0%
ValueCountFrequency (%)
101.0 1
1.0%
100.78 1
1.0%
100.07 1
1.0%
100.0 1
1.0%
99.63 1
1.0%
98.5 1
1.0%
96.61 1
1.0%
91.44 1
1.0%
90.92 1
1.0%
90.84 1
1.0%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.8977
Minimum0
Maximum109.02
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:54.063798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178.6225
median82.76
Q386.76
95-th percentile96.5155
Maximum109.02
Range109.02
Interquartile range (IQR)8.1375

Descriptive statistics

Standard deviation21.090214
Coefficient of variation (CV)0.26731088
Kurtosis9.644581
Mean78.8977
Median Absolute Deviation (MAD)4.11
Skewness-3.1194352
Sum7889.77
Variance444.79712
MonotonicityNot monotonic
2023-12-10T21:38:54.209253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6
 
6.0%
78.66 2
 
2.0%
74.83 1
 
1.0%
86.75 1
 
1.0%
89.6 1
 
1.0%
74.27 1
 
1.0%
83.7 1
 
1.0%
88.48 1
 
1.0%
98.47 1
 
1.0%
80.79 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
0.0 6
6.0%
70.73 1
 
1.0%
72.19 1
 
1.0%
72.82 1
 
1.0%
74.27 1
 
1.0%
74.37 1
 
1.0%
74.83 1
 
1.0%
75.7 1
 
1.0%
75.83 1
 
1.0%
76.34 1
 
1.0%
ValueCountFrequency (%)
109.02 1
1.0%
107.0 1
1.0%
98.47 1
1.0%
97.92 1
1.0%
97.0 1
1.0%
96.49 1
1.0%
95.55 1
1.0%
95.5 1
1.0%
92.33 1
1.0%
90.41 1
1.0%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.8339
Minimum0
Maximum108.76
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:54.346558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.43
median81.145
Q386.625
95-th percentile94.563
Maximum108.76
Range108.76
Interquartile range (IQR)11.195

Descriptive statistics

Standard deviation27.909908
Coefficient of variation (CV)0.38319941
Kurtosis2.97631
Mean72.8339
Median Absolute Deviation (MAD)5.715
Skewness-2.0813418
Sum7283.39
Variance778.96296
MonotonicityNot monotonic
2023-12-10T21:38:54.501676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
83.5 2
 
2.0%
88.33 2
 
2.0%
87.0 2
 
2.0%
81.04 2
 
2.0%
78.73 1
 
1.0%
90.36 1
 
1.0%
101.2 1
 
1.0%
81.25 1
 
1.0%
75.57 1
 
1.0%
Other values (75) 75
75.0%
ValueCountFrequency (%)
0.0 12
12.0%
65.23 1
 
1.0%
66.54 1
 
1.0%
69.98 1
 
1.0%
70.04 1
 
1.0%
71.77 1
 
1.0%
72.26 1
 
1.0%
72.62 1
 
1.0%
73.67 1
 
1.0%
73.69 1
 
1.0%
ValueCountFrequency (%)
108.76 1
1.0%
101.2 1
1.0%
99.94 1
1.0%
96.33 1
1.0%
95.0 1
1.0%
94.54 1
1.0%
94.0 1
1.0%
92.67 1
1.0%
91.0 1
1.0%
90.67 1
1.0%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.0038
Minimum0
Maximum116
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:54.631062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.725
median80.52
Q385.5975
95-th percentile92.5085
Maximum116
Range116
Interquartile range (IQR)7.8725

Descriptive statistics

Standard deviation28.700118
Coefficient of variation (CV)0.39859171
Kurtosis2.544427
Mean72.0038
Median Absolute Deviation (MAD)4.48
Skewness-1.9979983
Sum7200.38
Variance823.69675
MonotonicityNot monotonic
2023-12-10T21:38:55.029229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
85.0 3
 
3.0%
83.0 2
 
2.0%
80.67 2
 
2.0%
78.03 2
 
2.0%
89.0 2
 
2.0%
80.57 1
 
1.0%
79.19 1
 
1.0%
78.63 1
 
1.0%
86.5 1
 
1.0%
Other values (72) 72
72.0%
ValueCountFrequency (%)
0.0 13
13.0%
61.0 1
 
1.0%
70.0 1
 
1.0%
71.21 1
 
1.0%
72.6 1
 
1.0%
75.56 1
 
1.0%
75.75 1
 
1.0%
75.98 1
 
1.0%
76.05 1
 
1.0%
76.42 1
 
1.0%
ValueCountFrequency (%)
116.0 1
1.0%
97.69 1
1.0%
95.14 1
1.0%
92.81 1
1.0%
92.67 1
1.0%
92.5 1
1.0%
91.61 1
1.0%
91.5 1
1.0%
90.8 1
1.0%
90.5 1
1.0%

9종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.8746
Minimum0
Maximum99
Zeros56
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:55.179964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380.3725
95-th percentile86.04
Maximum99
Range99
Interquartile range (IQR)80.3725

Descriptive statistics

Standard deviation40.853345
Coefficient of variation (CV)1.1387819
Kurtosis-1.9258024
Mean35.8746
Median Absolute Deviation (MAD)0
Skewness0.2726424
Sum3587.46
Variance1668.9958
MonotonicityNot monotonic
2023-12-10T21:38:55.297298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 56
56.0%
84.0 6
 
6.0%
80.0 3
 
3.0%
86.0 2
 
2.0%
77.0 2
 
2.0%
82.0 2
 
2.0%
78.0 2
 
2.0%
85.0 2
 
2.0%
84.5 1
 
1.0%
74.5 1
 
1.0%
Other values (23) 23
23.0%
ValueCountFrequency (%)
0.0 56
56.0%
69.12 1
 
1.0%
71.0 1
 
1.0%
74.04 1
 
1.0%
74.25 1
 
1.0%
74.5 1
 
1.0%
74.89 1
 
1.0%
75.75 1
 
1.0%
75.91 1
 
1.0%
77.0 2
 
2.0%
ValueCountFrequency (%)
99.0 1
 
1.0%
96.4 1
 
1.0%
89.5 1
 
1.0%
89.0 1
 
1.0%
86.8 1
 
1.0%
86.0 2
 
2.0%
85.0 2
 
2.0%
84.5 1
 
1.0%
84.1 1
 
1.0%
84.0 6
6.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.427
Minimum0
Maximum102.47
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:55.447357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.2375
median80.5
Q386.18
95-th percentile95.4265
Maximum102.47
Range102.47
Interquartile range (IQR)8.9425

Descriptive statistics

Standard deviation25.797282
Coefficient of variation (CV)0.34661188
Kurtosis4.4236933
Mean74.427
Median Absolute Deviation (MAD)5.01
Skewness-2.3716354
Sum7442.7
Variance665.49976
MonotonicityNot monotonic
2023-12-10T21:38:55.637721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
10.0%
79.0 3
 
3.0%
81.0 2
 
2.0%
86.92 2
 
2.0%
77.52 2
 
2.0%
80.5 2
 
2.0%
70.97 1
 
1.0%
87.19 1
 
1.0%
71.93 1
 
1.0%
77.47 1
 
1.0%
Other values (75) 75
75.0%
ValueCountFrequency (%)
0.0 10
10.0%
68.28 1
 
1.0%
68.8 1
 
1.0%
70.81 1
 
1.0%
70.97 1
 
1.0%
71.0 1
 
1.0%
71.93 1
 
1.0%
72.04 1
 
1.0%
72.24 1
 
1.0%
74.42 1
 
1.0%
ValueCountFrequency (%)
102.47 1
1.0%
101.4 1
1.0%
97.57 1
1.0%
97.0 1
1.0%
95.93 1
1.0%
95.4 1
1.0%
94.05 1
1.0%
93.86 1
1.0%
92.17 1
1.0%
91.0 1
1.0%

11종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.9278
Minimum0
Maximum103
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:55.869856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q378.125
95-th percentile89
Maximum103
Range103
Interquartile range (IQR)78.125

Descriptive statistics

Standard deviation40.198935
Coefficient of variation (CV)1.1188811
Kurtosis-1.9162146
Mean35.9278
Median Absolute Deviation (MAD)0
Skewness0.24732961
Sum3592.78
Variance1615.9544
MonotonicityNot monotonic
2023-12-10T21:38:56.002777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 55
55.0%
77.0 4
 
4.0%
79.0 2
 
2.0%
89.0 2
 
2.0%
83.5 2
 
2.0%
82.0 2
 
2.0%
75.5 2
 
2.0%
81.0 2
 
2.0%
86.0 2
 
2.0%
71.5 1
 
1.0%
Other values (26) 26
26.0%
ValueCountFrequency (%)
0.0 55
55.0%
65.37 1
 
1.0%
65.67 1
 
1.0%
68.5 1
 
1.0%
69.0 1
 
1.0%
71.5 1
 
1.0%
72.62 1
 
1.0%
73.0 1
 
1.0%
74.0 1
 
1.0%
74.67 1
 
1.0%
ValueCountFrequency (%)
103.0 1
1.0%
91.0 1
1.0%
89.67 1
1.0%
89.12 1
1.0%
89.0 2
2.0%
86.0 2
2.0%
85.75 1
1.0%
84.08 1
1.0%
84.0 1
1.0%
83.5 2
2.0%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.4067
Minimum0
Maximum107
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:56.166276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169.875
median79.695
Q385.085
95-th percentile95.0975
Maximum107
Range107
Interquartile range (IQR)15.21

Descriptive statistics

Standard deviation35.012995
Coefficient of variation (CV)0.5436235
Kurtosis-0.25373923
Mean64.4067
Median Absolute Deviation (MAD)6.39
Skewness-1.238858
Sum6440.67
Variance1225.9098
MonotonicityNot monotonic
2023-12-10T21:38:56.340999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
22.0%
87.75 3
 
3.0%
79.5 2
 
2.0%
86.17 2
 
2.0%
74.63 1
 
1.0%
87.5 1
 
1.0%
73.58 1
 
1.0%
95.07 1
 
1.0%
107.0 1
 
1.0%
81.05 1
 
1.0%
Other values (65) 65
65.0%
ValueCountFrequency (%)
0.0 22
22.0%
64.08 1
 
1.0%
67.72 1
 
1.0%
69.5 1
 
1.0%
70.0 1
 
1.0%
70.28 1
 
1.0%
73.0 1
 
1.0%
73.58 1
 
1.0%
73.63 1
 
1.0%
73.69 1
 
1.0%
ValueCountFrequency (%)
107.0 1
1.0%
99.19 1
1.0%
98.3 1
1.0%
97.3 1
1.0%
95.62 1
1.0%
95.07 1
1.0%
93.0 1
1.0%
92.02 1
1.0%
90.86 1
1.0%
90.27 1
1.0%

1종 차량수(대)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3965.05
Minimum131
Maximum15241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:56.518829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum131
5-th percentile381.55
Q11790.5
median3307
Q35429.75
95-th percentile9638.45
Maximum15241
Range15110
Interquartile range (IQR)3639.25

Descriptive statistics

Standard deviation2894.5325
Coefficient of variation (CV)0.7300116
Kurtosis2.4887673
Mean3965.05
Median Absolute Deviation (MAD)1687.5
Skewness1.3600746
Sum396505
Variance8378318.4
MonotonicityNot monotonic
2023-12-10T21:38:56.678823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6319 1
 
1.0%
1267 1
 
1.0%
5907 1
 
1.0%
2781 1
 
1.0%
5624 1
 
1.0%
3346 1
 
1.0%
5370 1
 
1.0%
1322 1
 
1.0%
1636 1
 
1.0%
1435 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
131 1
1.0%
143 1
1.0%
207 1
1.0%
237 1
1.0%
278 1
1.0%
387 1
1.0%
485 1
1.0%
523 1
1.0%
681 1
1.0%
787 1
1.0%
ValueCountFrequency (%)
15241 1
1.0%
13647 1
1.0%
10863 1
1.0%
10838 1
1.0%
10065 1
1.0%
9616 1
1.0%
9400 1
1.0%
8447 1
1.0%
8267 1
1.0%
7508 1
1.0%

2종 차량수(대)
Real number (ℝ)

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.69
Minimum0
Maximum1260
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:56.850085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.95
Q114
median72.5
Q3122
95-th percentile200.5
Maximum1260
Range1260
Interquartile range (IQR)108

Descriptive statistics

Standard deviation140.56557
Coefficient of variation (CV)1.5499567
Kurtosis48.975183
Mean90.69
Median Absolute Deviation (MAD)51
Skewness6.1552636
Sum9069
Variance19758.681
MonotonicityNot monotonic
2023-12-10T21:38:57.031784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
4.0%
3 3
 
3.0%
10 3
 
3.0%
24 3
 
3.0%
78 3
 
3.0%
58 2
 
2.0%
90 2
 
2.0%
2 2
 
2.0%
14 2
 
2.0%
123 2
 
2.0%
Other values (63) 74
74.0%
ValueCountFrequency (%)
0 1
 
1.0%
1 4
4.0%
2 2
2.0%
3 3
3.0%
5 1
 
1.0%
6 1
 
1.0%
8 2
2.0%
9 1
 
1.0%
10 3
3.0%
11 2
2.0%
ValueCountFrequency (%)
1260 1
1.0%
447 1
1.0%
357 1
1.0%
259 1
1.0%
248 1
1.0%
198 1
1.0%
185 1
1.0%
182 1
1.0%
174 1
1.0%
167 2
2.0%

3종 차량수(대)
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean600
Minimum8
Maximum2597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:57.189902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile37.7
Q1200.25
median532
Q3869.5
95-th percentile1276.05
Maximum2597
Range2589
Interquartile range (IQR)669.25

Descriptive statistics

Standard deviation472.91155
Coefficient of variation (CV)0.78818592
Kurtosis2.8896461
Mean600
Median Absolute Deviation (MAD)335.5
Skewness1.3375093
Sum60000
Variance223645.33
MonotonicityNot monotonic
2023-12-10T21:38:57.399235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1106 2
 
2.0%
356 2
 
2.0%
901 2
 
2.0%
400 2
 
2.0%
532 2
 
2.0%
165 2
 
2.0%
802 2
 
2.0%
30 2
 
2.0%
465 1
 
1.0%
445 1
 
1.0%
Other values (82) 82
82.0%
ValueCountFrequency (%)
8 1
1.0%
15 1
1.0%
30 2
2.0%
32 1
1.0%
38 1
1.0%
50 1
1.0%
54 1
1.0%
55 1
1.0%
59 1
1.0%
60 1
1.0%
ValueCountFrequency (%)
2597 1
1.0%
1911 1
1.0%
1892 1
1.0%
1881 1
1.0%
1410 1
1.0%
1269 1
1.0%
1250 1
1.0%
1244 1
1.0%
1185 1
1.0%
1112 1
1.0%

4종 차량수(대)
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.01
Minimum1
Maximum3181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:57.581968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q148
median232
Q3691.5
95-th percentile1513.15
Maximum3181
Range3180
Interquartile range (IQR)643.5

Descriptive statistics

Standard deviation602.09601
Coefficient of variation (CV)1.2491359
Kurtosis4.7221648
Mean482.01
Median Absolute Deviation (MAD)213.5
Skewness2.0099742
Sum48201
Variance362519.61
MonotonicityNot monotonic
2023-12-10T21:38:57.771162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 2
 
2.0%
2 2
 
2.0%
48 2
 
2.0%
28 2
 
2.0%
468 2
 
2.0%
24 2
 
2.0%
2396 1
 
1.0%
86 1
 
1.0%
800 1
 
1.0%
66 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
1 1
1.0%
2 2
2.0%
4 1
1.0%
6 1
1.0%
7 1
1.0%
11 1
1.0%
12 1
1.0%
13 1
1.0%
15 1
1.0%
16 1
1.0%
ValueCountFrequency (%)
3181 1
1.0%
2396 1
1.0%
2351 1
1.0%
2052 1
1.0%
1896 1
1.0%
1493 1
1.0%
1488 1
1.0%
1474 1
1.0%
1378 1
1.0%
1238 1
1.0%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.46
Minimum0
Maximum2213
Zeros5
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:58.234440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q126
median147
Q3524.5
95-th percentile1223.1
Maximum2213
Range2213
Interquartile range (IQR)498.5

Descriptive statistics

Standard deviation446.14523
Coefficient of variation (CV)1.2989729
Kurtosis4.6698941
Mean343.46
Median Absolute Deviation (MAD)144
Skewness1.9679835
Sum34346
Variance199045.56
MonotonicityNot monotonic
2023-12-10T21:38:58.438000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.0%
10 4
 
4.0%
1 3
 
3.0%
7 2
 
2.0%
8 2
 
2.0%
119 2
 
2.0%
349 2
 
2.0%
471 1
 
1.0%
37 1
 
1.0%
552 1
 
1.0%
Other values (77) 77
77.0%
ValueCountFrequency (%)
0 5
5.0%
1 3
3.0%
2 1
 
1.0%
4 1
 
1.0%
5 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
10 4
4.0%
12 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
2213 1
1.0%
2182 1
1.0%
1307 1
1.0%
1281 1
1.0%
1244 1
1.0%
1222 1
1.0%
1136 1
1.0%
1120 1
1.0%
1052 1
1.0%
993 1
1.0%

6종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.46
Minimum0
Maximum1099
Zeros6
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:58.624174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.75
median105.5
Q3322.25
95-th percentile744.3
Maximum1099
Range1099
Interquartile range (IQR)307.5

Descriptive statistics

Standard deviation255.14996
Coefficient of variation (CV)1.206611
Kurtosis2.0367409
Mean211.46
Median Absolute Deviation (MAD)100
Skewness1.5423998
Sum21146
Variance65101.503
MonotonicityNot monotonic
2023-12-10T21:38:58.797750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
6.0%
30 4
 
4.0%
5 4
 
4.0%
12 3
 
3.0%
9 2
 
2.0%
35 2
 
2.0%
512 2
 
2.0%
225 2
 
2.0%
3 2
 
2.0%
34 2
 
2.0%
Other values (70) 71
71.0%
ValueCountFrequency (%)
0 6
6.0%
1 2
 
2.0%
2 1
 
1.0%
3 2
 
2.0%
5 4
4.0%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 2
 
2.0%
10 1
 
1.0%
ValueCountFrequency (%)
1099 1
1.0%
1079 1
1.0%
925 1
1.0%
793 1
1.0%
750 1
1.0%
744 1
1.0%
728 1
1.0%
644 1
1.0%
639 1
1.0%
616 1
1.0%

7종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.93
Minimum0
Maximum1362
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:58.981764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median60.5
Q3168.75
95-th percentile573.85
Maximum1362
Range1362
Interquartile range (IQR)162

Descriptive statistics

Standard deviation239.2908
Coefficient of variation (CV)1.5960168
Kurtosis8.8203023
Mean149.93
Median Absolute Deviation (MAD)58.5
Skewness2.7254853
Sum14993
Variance57260.086
MonotonicityNot monotonic
2023-12-10T21:38:59.175134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
12.0%
2 4
 
4.0%
6 4
 
4.0%
10 3
 
3.0%
16 3
 
3.0%
75 2
 
2.0%
3 2
 
2.0%
1 2
 
2.0%
11 2
 
2.0%
119 2
 
2.0%
Other values (63) 64
64.0%
ValueCountFrequency (%)
0 12
12.0%
1 2
 
2.0%
2 4
 
4.0%
3 2
 
2.0%
4 1
 
1.0%
6 4
 
4.0%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
10 3
 
3.0%
ValueCountFrequency (%)
1362 1
1.0%
1087 1
1.0%
909 1
1.0%
813 1
1.0%
666 1
1.0%
569 1
1.0%
516 1
1.0%
477 1
1.0%
450 1
1.0%
426 1
1.0%

8종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.03
Minimum0
Maximum499
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:59.375638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q397.25
95-th percentile287
Maximum499
Range499
Interquartile range (IQR)95.25

Descriptive statistics

Standard deviation107.77562
Coefficient of variation (CV)1.5612867
Kurtosis4.2592924
Mean69.03
Median Absolute Deviation (MAD)16
Skewness2.0985782
Sum6903
Variance11615.585
MonotonicityNot monotonic
2023-12-10T21:38:59.577100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.0%
1 9
 
9.0%
5 5
 
5.0%
2 5
 
5.0%
3 5
 
5.0%
4 3
 
3.0%
73 2
 
2.0%
39 2
 
2.0%
53 2
 
2.0%
116 2
 
2.0%
Other values (49) 52
52.0%
ValueCountFrequency (%)
0 13
13.0%
1 9
9.0%
2 5
 
5.0%
3 5
 
5.0%
4 3
 
3.0%
5 5
 
5.0%
6 1
 
1.0%
7 1
 
1.0%
8 2
 
2.0%
9 1
 
1.0%
ValueCountFrequency (%)
499 1
1.0%
456 1
1.0%
423 1
1.0%
339 1
1.0%
325 1
1.0%
285 1
1.0%
283 1
1.0%
277 1
1.0%
244 1
1.0%
232 1
1.0%

9종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.39
Minimum0
Maximum33
Zeros56
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:38:59.722733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11.05
Maximum33
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.3727615
Coefficient of variation (CV)2.2480173
Kurtosis20.146509
Mean2.39
Median Absolute Deviation (MAD)0
Skewness4.1075883
Sum239
Variance28.866566
MonotonicityNot monotonic
2023-12-10T21:38:59.867991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 56
56.0%
1 13
 
13.0%
2 7
 
7.0%
5 6
 
6.0%
3 5
 
5.0%
8 2
 
2.0%
12 2
 
2.0%
11 2
 
2.0%
33 2
 
2.0%
6 2
 
2.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 56
56.0%
1 13
 
13.0%
2 7
 
7.0%
3 5
 
5.0%
4 1
 
1.0%
5 6
 
6.0%
6 2
 
2.0%
8 2
 
2.0%
10 1
 
1.0%
11 2
 
2.0%
ValueCountFrequency (%)
33 2
 
2.0%
13 1
 
1.0%
12 2
 
2.0%
11 2
 
2.0%
10 1
 
1.0%
8 2
 
2.0%
6 2
 
2.0%
5 6
6.0%
4 1
 
1.0%
3 5
5.0%

10종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.95
Minimum0
Maximum1301
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:39:00.071252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median39
Q3181.5
95-th percentile632.15
Maximum1301
Range1301
Interquartile range (IQR)174.75

Descriptive statistics

Standard deviation230.51626
Coefficient of variation (CV)1.5686714
Kurtosis8.7085467
Mean146.95
Median Absolute Deviation (MAD)39
Skewness2.6540766
Sum14695
Variance53137.745
MonotonicityNot monotonic
2023-12-10T21:39:00.249027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
10.0%
1 5
 
5.0%
7 3
 
3.0%
12 3
 
3.0%
5 3
 
3.0%
24 3
 
3.0%
8 3
 
3.0%
2 2
 
2.0%
3 2
 
2.0%
14 2
 
2.0%
Other values (59) 64
64.0%
ValueCountFrequency (%)
0 10
10.0%
1 5
5.0%
2 2
 
2.0%
3 2
 
2.0%
4 2
 
2.0%
5 3
 
3.0%
6 1
 
1.0%
7 3
 
3.0%
8 3
 
3.0%
9 2
 
2.0%
ValueCountFrequency (%)
1301 1
1.0%
1129 1
1.0%
699 1
1.0%
696 1
1.0%
692 1
1.0%
629 1
1.0%
494 1
1.0%
456 1
1.0%
442 1
1.0%
439 1
1.0%

11종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.55
Minimum0
Maximum24
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:39:00.424784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.1
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.3646258
Coefficient of variation (CV)2.1707264
Kurtosis23.628613
Mean1.55
Median Absolute Deviation (MAD)0
Skewness4.3515585
Sum155
Variance11.320707
MonotonicityNot monotonic
2023-12-10T21:39:00.569161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 55
55.0%
1 19
 
19.0%
2 7
 
7.0%
3 6
 
6.0%
4 4
 
4.0%
8 2
 
2.0%
6 2
 
2.0%
5 2
 
2.0%
24 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
0 55
55.0%
1 19
 
19.0%
2 7
 
7.0%
3 6
 
6.0%
4 4
 
4.0%
5 2
 
2.0%
6 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
24 1
 
1.0%
17 1
 
1.0%
9 1
 
1.0%
8 2
 
2.0%
6 2
 
2.0%
5 2
 
2.0%
4 4
 
4.0%
3 6
 
6.0%
2 7
 
7.0%
1 19
19.0%

12종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.2
Minimum0
Maximum720
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:39:00.721222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median16.5
Q346
95-th percentile151.8
Maximum720
Range720
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation99.155016
Coefficient of variation (CV)2.057158
Kurtosis24.093568
Mean48.2
Median Absolute Deviation (MAD)16.5
Skewness4.4077324
Sum4820
Variance9831.7172
MonotonicityNot monotonic
2023-12-10T21:39:00.876323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
22.0%
2 6
 
6.0%
17 4
 
4.0%
7 4
 
4.0%
5 4
 
4.0%
1 3
 
3.0%
46 3
 
3.0%
39 2
 
2.0%
18 2
 
2.0%
33 2
 
2.0%
Other values (44) 48
48.0%
ValueCountFrequency (%)
0 22
22.0%
1 3
 
3.0%
2 6
 
6.0%
3 1
 
1.0%
4 2
 
2.0%
5 4
 
4.0%
6 1
 
1.0%
7 4
 
4.0%
8 1
 
1.0%
9 2
 
2.0%
ValueCountFrequency (%)
720 1
1.0%
460 1
1.0%
352 1
1.0%
280 1
1.0%
167 1
1.0%
151 1
1.0%
148 1
1.0%
147 1
1.0%
144 1
1.0%
134 1
1.0%

차량통과수(대)
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6110.72
Minimum143
Maximum16882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:39:01.074708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile744.35
Q13489.75
median6107.5
Q37875.5
95-th percentile12435
Maximum16882
Range16739
Interquartile range (IQR)4385.75

Descriptive statistics

Standard deviation3556.1843
Coefficient of variation (CV)0.58195831
Kurtosis0.71117442
Mean6110.72
Median Absolute Deviation (MAD)2191
Skewness0.62265441
Sum611072
Variance12646447
MonotonicityNot monotonic
2023-12-10T21:39:01.476430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13195 1
 
1.0%
1414 1
 
1.0%
6889 1
 
1.0%
6018 1
 
1.0%
6360 1
 
1.0%
6408 1
 
1.0%
6094 1
 
1.0%
3320 1
 
1.0%
1854 1
 
1.0%
3261 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
143 1
1.0%
163 1
1.0%
293 1
1.0%
320 1
1.0%
428 1
1.0%
761 1
1.0%
870 1
1.0%
880 1
1.0%
1414 1
1.0%
1712 1
1.0%
ValueCountFrequency (%)
16882 1
1.0%
16027 1
1.0%
15971 1
1.0%
14052 1
1.0%
13195 1
1.0%
12395 1
1.0%
12180 1
1.0%
11170 1
1.0%
10540 1
1.0%
10245 1
1.0%

평균 속도(km)
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.1594
Minimum72.34
Maximum122.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:39:01.637844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.34
5-th percentile79.5635
Q184.5525
median90.665
Q3103.365
95-th percentile116.2955
Maximum122.32
Range49.98
Interquartile range (IQR)18.8125

Descriptive statistics

Standard deviation12.285126
Coefficient of variation (CV)0.13047159
Kurtosis-0.79282947
Mean94.1594
Median Absolute Deviation (MAD)8.27
Skewness0.46725388
Sum9415.94
Variance150.92433
MonotonicityNot monotonic
2023-12-10T21:39:01.860724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.36 2
 
2.0%
79.63 2
 
2.0%
82.72 2
 
2.0%
105.86 2
 
2.0%
86.2 2
 
2.0%
115.89 1
 
1.0%
89.8 1
 
1.0%
91.18 1
 
1.0%
107.33 1
 
1.0%
89.15 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
72.34 1
1.0%
74.16 1
1.0%
74.39 1
1.0%
74.76 1
1.0%
78.3 1
1.0%
79.63 2
2.0%
79.68 1
1.0%
80.5 1
1.0%
80.65 1
1.0%
81.08 1
1.0%
ValueCountFrequency (%)
122.32 1
1.0%
118.3 1
1.0%
117.4 1
1.0%
117.05 1
1.0%
116.4 1
1.0%
116.29 1
1.0%
115.89 1
1.0%
115.84 1
1.0%
115.39 1
1.0%
114.93 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
2023-12-10T21:39:02.037138image/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
2023-12-10T21:39:02.205562image/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
2023-12-10T21:39:02.360940image/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
2023-12-10T21:39:02.523140image/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
2023-12-10T21:39:02.663125image/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
2023-12-10T21:39:02.829503image/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

2023-12-10T21:39:03.016469image/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-대동JC11.6075.8783.8680.6971.0870.2774.8374.3872.675.7570.9771.574.63631958110623961281506401339862981441319574.3935.293889129.007222-0.31경남 양산시 물금읍
12도로공사20200401A-5510-0116E-6S1물금IC-대동JC11.6094.9998.75101.9591.7387.9186.7987.8285.599.086.040.086.71364779301843930167112071405296.9435.293889129.007222-0.31경남 양산시 물금읍
23도로공사20200401A-5510-0116E-6S2물금IC-대동JC11.6080.8689.6584.076.9476.8578.6676.6279.9180.0378.879.079.3810065971892205276341030285122601881602780.535.293889129.007222-0.31경남 양산시 물금읍
34도로공사20200401A-5510-0116E-6E1대동JC-물금IC11.6093.499.38100.4292.3287.788.4281.9789.250.083.580.082.71152419911852116235234013091688297.3735.293889129.0072220.3경남 양산시 물금읍
45도로공사20200401A-5510-0116E-6E2대동JC-물금IC11.6078.1589.4583.4877.4377.5478.1477.6578.0377.7578.0665.6777.39108381045923519736163412311133231121597179.6335.293889129.0072220.3경남 양산시 물금읍
56도로공사20200401A-5510-0116E-6E3대동JC-물금IC11.6071.478.1775.4669.6569.8972.8273.6971.2179.072.0468.570.28695529802189699343825428324562701218072.3435.293889129.0072220.3경남 양산시 물금읍
67도로공사20200401A-6000-0062E-4S1한림IC-진영IC6.23087.6899.1104.8295.8590.8489.4888.4985.00.085.120.087.755814112363260647210507630290.0635.835556129.513056-1.07경남 김해시 진영읍 설창리
78도로공사20200401A-6000-0062E-4S2한림IC-진영IC6.23089.1191.5186.3178.1477.679.8579.2678.2782.6779.476.080.773159341104121374464451611612227175784581.6435.835556129.513056-1.07경남 김해시 진영읍 설창리
89도로공사20200401A-6000-0062E-4E1진영IC-한림IC6.23097.5499.08105.8194.4288.6585.1487.4388.084.089.770.090.055972217251626892752124022716496.4135.835556129.5130561.09경남 김해시 진영읍 설창리
910도로공사20200401A-6000-0062E-4E2진영IC-한림IC6.23092.7887.4488.1879.882.4577.4772.6276.9778.082.2375.575.852771151112698575750569421832720733881.0835.835556129.5130561.09경남 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-담양JC38.8096.1191.2196.284.3883.9687.4387.4980.3884.188.5889.6789.912013133036719313613414381733148336188.2335.247222126.999444-0.99전남 담양군 고서면 장화리
9192도로공사20200401A-0140-0388E-4E1담양JC-대덕JC38.80118.94104.0111.26107.4888.0685.2288.3392.50.085.380.00.018035118241053408001980115.8435.247222126.9994440.98전남 담양군 고서면 장화리
9293도로공사20200401A-0140-0388E-4E2담양JC-대덕JC38.80101.1896.9297.7881.9881.2281.9182.6280.4786.080.3181.585.39140111486414314255731373183413329487.3635.247222126.9994440.98전남 담양군 고서면 장화리
9394도로공사20200401A-0251-0652S-4S1고서JC-창평IC65.20108.1105.31111.596.0490.9288.889.092.670.083.830.00.056091224884815121306006304107.2435.223611126.9947220.5전남 담양군 고서면
9495도로공사20200401A-0251-0652S-4S2고서JC-창평IC65.2091.54100.8890.2582.8281.380.0983.3180.650.080.1689.082.55462314889361530428321950185118718686.7335.223611126.9947220.5전남 담양군 고서면
9596도로공사20200401A-0251-0652S-4E1창평IC-고서JC65.20107.73104.49110.796.1291.4486.5987.089.50.086.920.084.056301235474810176208026393106.2635.223611126.994722-0.5전남 담양군 고서면
9697도로공사20200401A-0251-0652S-4E2창평IC-고서JC65.2092.1699.1391.1581.2479.3281.681.0478.140.081.00.081.9650111524615683481821191320166027716685.8335.223611126.994722-0.5전남 담양군 고서면
9798도로공사20200401A-0270-0044S-4S1순천JC-동순천IC4.40111.84102.29109.7998.7387.5684.3987.1787.170.085.80.086.019893816521203286014022295105.8634.978889127.5488892.64전남 순천시 왕지동 왕지길
9899도로공사20200401A-0270-0044S-4S2순천JC-동순천IC4.4099.08100.0191.4881.3179.2879.5179.2479.384.080.0389.080.1163833299262347512124116199133346584.9934.978889127.5488892.64전남 순천시 왕지동 왕지길
99100도로공사20200401A-0270-0044S-4E1동순천IC-순천JC4.40106.58103.07104.9790.8385.3885.7185.2888.50.081.00.088.6724073515625191419307032688102.2834.978889127.548889-3.9전남 순천시 왕지동 왕지길