Overview

Dataset statistics

Number of variables39
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 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 7 (7.4%) zerosZeros
2종 차량 속도(km/hr) has 14 (14.7%) zerosZeros
3종 차량 속도(km/hr) has 9 (9.5%) zerosZeros
4종 차량 속도(km/hr) has 10 (10.5%) zerosZeros
5종 차량 속도(km/hr) has 9 (9.5%) zerosZeros
6종 차량 속도(km/hr) has 13 (13.7%) zerosZeros
7종 차량 속도(km/hr) has 20 (21.1%) zerosZeros
8종 차량 속도(km/hr) has 30 (31.6%) zerosZeros
9종 차량 속도(km/hr) has 66 (69.5%) zerosZeros
10종 차량 속도(km/hr) has 26 (27.4%) zerosZeros
11종 차량 속도(km/hr) has 66 (69.5%) zerosZeros
12종 차량 속도(km/hr) has 31 (32.6%) zerosZeros
1종 차량수(대) has 7 (7.4%) zerosZeros
2종 차량수(대) has 14 (14.7%) zerosZeros
3종 차량수(대) has 9 (9.5%) zerosZeros
4종 차량수(대) has 10 (10.5%) zerosZeros
5종 차량수(대) has 9 (9.5%) zerosZeros
6종 차량수(대) has 13 (13.7%) zerosZeros
7종 차량수(대) has 20 (21.1%) zerosZeros
8종 차량수(대) has 30 (31.6%) zerosZeros
9종 차량수(대) has 66 (69.5%) zerosZeros
10종 차량수(대) has 26 (27.4%) zerosZeros
12종 차량수(대) has 31 (32.6%) zerosZeros
차량통과수(대) has 7 (7.4%) zerosZeros
평균 속도(km) has 7 (7.4%) zerosZeros

Reproduction

Analysis started2024-04-20 20:45:35.009618
Analysis finished2024-04-20 20:45:35.448383
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:35.652517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2024-04-21T05:45:36.016198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size888.0 B
도로공사
95 

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 95
100.0%

Length

2024-04-21T05:45:36.267137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:45:36.432762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 95
100.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size888.0 B
20200501
95 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20200501 95
100.0%

Length

2024-04-21T05:45:36.585578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:45:36.734919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200501 95
100.0%

지점
Categorical

Distinct19
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size888.0 B
A-0100-1592S-6
A-0100-1312S-8
A-0550-0096E-8
A-0010-0083E-6
 
6
A-0100-1501S-6
 
6
Other values (14)
60 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A-0100-1592S-6 8
 
8.4%
A-0100-1312S-8 8
 
8.4%
A-0550-0096E-8 7
 
7.4%
A-0010-0083E-6 6
 
6.3%
A-0100-1501S-6 6
 
6.3%
A-0550-0058E-6 6
 
6.3%
A-5510-0116E-6 6
 
6.3%
A-0351-1078E-4 4
 
4.2%
A-0351-0390S-4 4
 
4.2%
A-0351-0642S-4 4
 
4.2%
Other values (9) 36
37.9%

Length

2024-04-21T05:45:36.889235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0100-1592s-6 8
 
8.4%
a-0100-1312s-8 8
 
8.4%
a-0550-0096e-8 7
 
7.4%
a-0010-0083e-6 6
 
6.3%
a-0100-1501s-6 6
 
6.3%
a-0550-0058e-6 6
 
6.3%
a-5510-0116e-6 6
 
6.3%
a-0351-0165s-4 4
 
4.2%
a-6000-0396e-4 4
 
4.2%
a-6000-0265e-4 4
 
4.2%
Other values (9) 36
37.9%

방향
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size888.0 B
E
52 
S
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
E 52
54.7%
S 43
45.3%

Length

2024-04-21T05:45:37.077965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:45:37.231247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 52
54.7%
s 43
45.3%

차선
Real number (ℝ)

Distinct7
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9894737
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:37.368604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.1531155
Coefficient of variation (CV)0.5796083
Kurtosis4.3907277
Mean1.9894737
Median Absolute Deviation (MAD)1
Skewness1.8069435
Sum189
Variance1.3296753
MonotonicityNot monotonic
2024-04-21T05:45:37.546651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 37
38.9%
2 37
38.9%
3 13
 
13.7%
4 4
 
4.2%
5 2
 
2.1%
6 1
 
1.1%
7 1
 
1.1%
ValueCountFrequency (%)
1 37
38.9%
2 37
38.9%
3 13
 
13.7%
4 4
 
4.2%
5 2
 
2.1%
6 1
 
1.1%
7 1
 
1.1%
ValueCountFrequency (%)
7 1
 
1.1%
6 1
 
1.1%
5 2
 
2.1%
4 4
 
4.2%
3 13
 
13.7%
2 37
38.9%
1 37
38.9%

측정구간
Categorical

Distinct37
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size888.0 B
대감JC-대동JC
 
7
김해JC-북부산TG
 
5
동창원IC-창원JC
 
4
창원JC-동창원IC
 
4
냉정JC-서김해IC
 
3
Other values (32)
72 

Length

Max length11
Median length9
Mean length9.5684211
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대감JC-대동JC 7
 
7.4%
김해JC-북부산TG 5
 
5.3%
동창원IC-창원JC 4
 
4.2%
창원JC-동창원IC 4
 
4.2%
냉정JC-서김해IC 3
 
3.2%
양산JC-노포JC 3
 
3.2%
북부산TG-김해JC 3
 
3.2%
서김해IC-냉정JC 3
 
3.2%
노포JC-양산JC 3
 
3.2%
대동IC-초정IC 3
 
3.2%
Other values (27) 57
60.0%

Length

2024-04-21T05:45:37.779464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대감jc-대동jc 7
 
7.4%
김해jc-북부산tg 5
 
5.3%
동창원ic-창원jc 4
 
4.2%
창원jc-동창원ic 4
 
4.2%
노포jc-양산jc 3
 
3.2%
대동jc-물금ic 3
 
3.2%
초정ic-대동ic 3
 
3.2%
대동ic-초정ic 3
 
3.2%
물금ic-대동jc 3
 
3.2%
서김해ic-냉정jc 3
 
3.2%
Other values (27) 57
60.0%

장비이정(km)
Real number (ℝ)

Distinct19
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.472842
Minimum5.8
Maximum159.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:37.981045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation56.631985
Coefficient of variation (CV)0.96851775
Kurtosis-1.1467789
Mean58.472842
Median Absolute Deviation (MAD)30.5
Skewness0.71602656
Sum5554.92
Variance3207.1817
MonotonicityNot monotonic
2024-04-21T05:45:38.194394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
131.2 8
 
8.4%
159.2 8
 
8.4%
9.6 7
 
7.4%
8.3 6
 
6.3%
150.1 6
 
6.3%
5.8 6
 
6.3%
11.6 6
 
6.3%
8.5 4
 
4.2%
40.7 4
 
4.2%
39.61 4
 
4.2%
Other values (9) 36
37.9%
ValueCountFrequency (%)
5.8 6
6.3%
6.23 4
4.2%
8.3 6
6.3%
8.5 4
4.2%
9.6 7
7.4%
11.6 6
6.3%
13.4 4
4.2%
16.5 4
4.2%
26.69 4
4.2%
39.0 4
4.2%
ValueCountFrequency (%)
159.2 8
8.4%
150.1 6
6.3%
131.2 8
8.4%
112.4 4
4.2%
107.8 4
4.2%
64.2 4
4.2%
52.4 4
4.2%
40.7 4
4.2%
39.61 4
4.2%
39.0 4
4.2%

측정시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size888.0 B
0
95 

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 95
100.0%

Length

2024-04-21T05:45:38.415923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:45:38.564798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 95
100.0%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.067474
Minimum0
Maximum112.08
Zeros7
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:38.745031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180.155
median88.92
Q394.945
95-th percentile104.351
Maximum112.08
Range112.08
Interquartile range (IQR)14.79

Descriptive statistics

Standard deviation25.238627
Coefficient of variation (CV)0.30383284
Kurtosis6.3289157
Mean83.067474
Median Absolute Deviation (MAD)7.14
Skewness-2.5905386
Sum7891.41
Variance636.98827
MonotonicityNot monotonic
2024-04-21T05:45:39.039756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
7.4%
98.41 2
 
2.1%
88.65 1
 
1.1%
93.85 1
 
1.1%
95.38 1
 
1.1%
77.67 1
 
1.1%
79.3 1
 
1.1%
95.28 1
 
1.1%
87.89 1
 
1.1%
105.17 1
 
1.1%
Other values (78) 78
82.1%
ValueCountFrequency (%)
0.0 7
7.4%
67.65 1
 
1.1%
68.01 1
 
1.1%
73.75 1
 
1.1%
74.33 1
 
1.1%
74.59 1
 
1.1%
75.57 1
 
1.1%
76.02 1
 
1.1%
76.9 1
 
1.1%
77.64 1
 
1.1%
ValueCountFrequency (%)
112.08 1
1.1%
110.24 1
1.1%
106.75 1
1.1%
106.6 1
1.1%
105.17 1
1.1%
104.0 1
1.1%
103.74 1
1.1%
103.43 1
1.1%
103.35 1
1.1%
101.55 1
1.1%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.748105
Minimum0
Maximum109.14
Zeros14
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:39.325155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184.215
median96.98
Q3101.85
95-th percentile105.919
Maximum109.14
Range109.14
Interquartile range (IQR)17.635

Descriptive statistics

Standard deviation35.142807
Coefficient of variation (CV)0.42989139
Kurtosis1.6218008
Mean81.748105
Median Absolute Deviation (MAD)7.1
Skewness-1.8031239
Sum7766.07
Variance1235.0169
MonotonicityNot monotonic
2024-04-21T05:45:39.581876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 14
 
14.7%
101.42 1
 
1.1%
102.87 1
 
1.1%
83.21 1
 
1.1%
93.23 1
 
1.1%
99.73 1
 
1.1%
88.64 1
 
1.1%
92.54 1
 
1.1%
102.15 1
 
1.1%
89.45 1
 
1.1%
Other values (72) 72
75.8%
ValueCountFrequency (%)
0.0 14
14.7%
68.6 1
 
1.1%
69.86 1
 
1.1%
76.61 1
 
1.1%
78.49 1
 
1.1%
80.29 1
 
1.1%
82.39 1
 
1.1%
82.43 1
 
1.1%
83.11 1
 
1.1%
83.21 1
 
1.1%
ValueCountFrequency (%)
109.14 1
1.1%
109.13 1
1.1%
107.55 1
1.1%
106.59 1
1.1%
106.43 1
1.1%
105.7 1
1.1%
105.51 1
1.1%
105.5 1
1.1%
105.38 1
1.1%
105.19 1
1.1%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.529789
Minimum0
Maximum117.52
Zeros9
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:39.983046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184.86
median92.03
Q3100.035
95-th percentile113.571
Maximum117.52
Range117.52
Interquartile range (IQR)15.175

Descriptive statistics

Standard deviation29.755434
Coefficient of variation (CV)0.34789556
Kurtosis4.0075339
Mean85.529789
Median Absolute Deviation (MAD)7.24
Skewness-2.1751088
Sum8125.33
Variance885.38586
MonotonicityNot monotonic
2024-04-21T05:45:40.437659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
9.5%
96.7 1
 
1.1%
82.36 1
 
1.1%
88.36 1
 
1.1%
105.82 1
 
1.1%
84.79 1
 
1.1%
89.6 1
 
1.1%
110.97 1
 
1.1%
90.29 1
 
1.1%
95.6 1
 
1.1%
Other values (77) 77
81.1%
ValueCountFrequency (%)
0.0 9
9.5%
67.0 1
 
1.1%
68.4 1
 
1.1%
74.23 1
 
1.1%
76.86 1
 
1.1%
78.39 1
 
1.1%
78.64 1
 
1.1%
79.35 1
 
1.1%
80.66 1
 
1.1%
81.87 1
 
1.1%
ValueCountFrequency (%)
117.52 1
1.1%
116.7 1
1.1%
115.66 1
1.1%
114.12 1
1.1%
113.69 1
1.1%
113.52 1
1.1%
113.39 1
1.1%
112.34 1
1.1%
112.18 1
1.1%
110.97 1
1.1%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct85
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.365895
Minimum0
Maximum121.8
Zeros10
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:40.856200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.785
median84.39
Q395.935
95-th percentile106.288
Maximum121.8
Range121.8
Interquartile range (IQR)18.15

Descriptive statistics

Standard deviation29.321353
Coefficient of variation (CV)0.36944525
Kurtosis3.1748658
Mean79.365895
Median Absolute Deviation (MAD)8.71
Skewness-1.9718067
Sum7539.76
Variance859.74171
MonotonicityNot monotonic
2024-04-21T05:45:41.206833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
10.5%
79.63 2
 
2.1%
97.81 1
 
1.1%
76.52 1
 
1.1%
82.77 1
 
1.1%
99.25 1
 
1.1%
74.73 1
 
1.1%
97.07 1
 
1.1%
86.43 1
 
1.1%
100.57 1
 
1.1%
Other values (75) 75
78.9%
ValueCountFrequency (%)
0.0 10
10.5%
66.67 1
 
1.1%
68.09 1
 
1.1%
73.6 1
 
1.1%
74.73 1
 
1.1%
75.07 1
 
1.1%
75.09 1
 
1.1%
75.14 1
 
1.1%
75.2 1
 
1.1%
76.1 1
 
1.1%
ValueCountFrequency (%)
121.8 1
1.1%
113.62 1
1.1%
112.64 1
1.1%
110.23 1
1.1%
106.4 1
1.1%
106.24 1
1.1%
106.08 1
1.1%
105.76 1
1.1%
104.44 1
1.1%
103.8 1
1.1%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.103368
Minimum0
Maximum112.72
Zeros9
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:41.460538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.01
median83.35
Q392.975
95-th percentile106.489
Maximum112.72
Range112.72
Interquartile range (IQR)17.965

Descriptive statistics

Standard deviation27.580266
Coefficient of variation (CV)0.35312518
Kurtosis3.6489704
Mean78.103368
Median Absolute Deviation (MAD)9.06
Skewness-2.0559361
Sum7419.82
Variance760.67106
MonotonicityNot monotonic
2024-04-21T05:45:41.708047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
9.5%
91.92 1
 
1.1%
82.75 1
 
1.1%
95.17 1
 
1.1%
74.32 1
 
1.1%
78.54 1
 
1.1%
96.2 1
 
1.1%
96.04 1
 
1.1%
104.01 1
 
1.1%
106.27 1
 
1.1%
Other values (77) 77
81.1%
ValueCountFrequency (%)
0.0 9
9.5%
50.62 1
 
1.1%
64.79 1
 
1.1%
68.67 1
 
1.1%
70.79 1
 
1.1%
71.16 1
 
1.1%
71.81 1
 
1.1%
72.77 1
 
1.1%
72.84 1
 
1.1%
72.95 1
 
1.1%
ValueCountFrequency (%)
112.72 1
1.1%
111.0 1
1.1%
108.17 1
1.1%
108.0 1
1.1%
107.0 1
1.1%
106.27 1
1.1%
104.75 1
1.1%
104.01 1
1.1%
101.26 1
1.1%
98.21 1
1.1%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.827158
Minimum0
Maximum126
Zeros13
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:41.956117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.415
median82.39
Q388.5
95-th percentile105.465
Maximum126
Range126
Interquartile range (IQR)13.085

Descriptive statistics

Standard deviation31.210576
Coefficient of variation (CV)0.42275196
Kurtosis1.7504029
Mean73.827158
Median Absolute Deviation (MAD)6.78
Skewness-1.6673546
Sum7013.58
Variance974.10003
MonotonicityNot monotonic
2024-04-21T05:45:42.214408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.7%
88.5 2
 
2.1%
87.5 2
 
2.1%
74.87 1
 
1.1%
103.85 1
 
1.1%
76.81 1
 
1.1%
79.68 1
 
1.1%
83.42 1
 
1.1%
105.79 1
 
1.1%
106.32 1
 
1.1%
Other values (71) 71
74.7%
ValueCountFrequency (%)
0.0 13
13.7%
62.1 1
 
1.1%
66.42 1
 
1.1%
67.64 1
 
1.1%
68.35 1
 
1.1%
70.74 1
 
1.1%
73.4 1
 
1.1%
73.77 1
 
1.1%
74.22 1
 
1.1%
74.87 1
 
1.1%
ValueCountFrequency (%)
126.0 1
1.1%
116.0 1
1.1%
106.32 1
1.1%
105.79 1
1.1%
105.78 1
1.1%
105.33 1
1.1%
103.85 1
1.1%
102.88 1
1.1%
102.42 1
1.1%
100.1 1
1.1%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.463263
Minimum0
Maximum107.47
Zeros20
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:42.688285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166.315
median79.31
Q387.015
95-th percentile100.973
Maximum107.47
Range107.47
Interquartile range (IQR)20.7

Descriptive statistics

Standard deviation35.318286
Coefficient of variation (CV)0.53951307
Kurtosis-0.22954697
Mean65.463263
Median Absolute Deviation (MAD)8.88
Skewness-1.1742152
Sum6219.01
Variance1247.3814
MonotonicityNot monotonic
2024-04-21T05:45:42.935762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
21.1%
87.0 2
 
2.1%
104.5 1
 
1.1%
74.54 1
 
1.1%
81.57 1
 
1.1%
89.0 1
 
1.1%
74.39 1
 
1.1%
76.82 1
 
1.1%
84.0 1
 
1.1%
85.15 1
 
1.1%
Other values (65) 65
68.4%
ValueCountFrequency (%)
0.0 20
21.1%
47.48 1
 
1.1%
64.0 1
 
1.1%
64.29 1
 
1.1%
65.55 1
 
1.1%
67.08 1
 
1.1%
68.75 1
 
1.1%
70.86 1
 
1.1%
71.99 1
 
1.1%
72.12 1
 
1.1%
ValueCountFrequency (%)
107.47 1
1.1%
107.0 1
1.1%
104.5 1
1.1%
103.5 1
1.1%
103.43 1
1.1%
99.92 1
1.1%
97.81 1
1.1%
96.33 1
1.1%
95.33 1
1.1%
95.0 1
1.1%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.899789
Minimum0
Maximum110.5
Zeros30
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:43.278507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78.21
Q384.98
95-th percentile93.114
Maximum110.5
Range110.5
Interquartile range (IQR)84.98

Descriptive statistics

Standard deviation39.345897
Coefficient of variation (CV)0.70386486
Kurtosis-1.4427274
Mean55.899789
Median Absolute Deviation (MAD)10.79
Skewness-0.64606043
Sum5310.48
Variance1548.0996
MonotonicityNot monotonic
2024-04-21T05:45:43.717762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
31.6%
89.0 4
 
4.2%
83.0 2
 
2.1%
87.75 1
 
1.1%
82.75 1
 
1.1%
80.89 1
 
1.1%
81.0 1
 
1.1%
80.12 1
 
1.1%
95.67 1
 
1.1%
80.5 1
 
1.1%
Other values (52) 52
54.7%
ValueCountFrequency (%)
0.0 30
31.6%
30.5 1
 
1.1%
45.81 1
 
1.1%
55.23 1
 
1.1%
66.08 1
 
1.1%
68.64 1
 
1.1%
73.31 1
 
1.1%
73.35 1
 
1.1%
73.58 1
 
1.1%
74.13 1
 
1.1%
ValueCountFrequency (%)
110.5 1
1.1%
102.0 1
1.1%
101.0 1
1.1%
95.67 1
1.1%
93.38 1
1.1%
93.0 1
1.1%
92.83 1
1.1%
92.25 1
1.1%
90.36 1
1.1%
89.75 1
1.1%

9종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.713579
Minimum0
Maximum102
Zeros66
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:44.106712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q374
95-th percentile87
Maximum102
Range102
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.500003
Coefficient of variation (CV)1.5813726
Kurtosis-0.93759565
Mean23.713579
Median Absolute Deviation (MAD)0
Skewness1.0047418
Sum2252.79
Variance1406.2502
MonotonicityNot monotonic
2024-04-21T05:45:44.487732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 66
69.5%
87.0 4
 
4.2%
79.0 2
 
2.1%
81.5 2
 
2.1%
75.0 2
 
2.1%
73.0 2
 
2.1%
98.5 1
 
1.1%
78.0 1
 
1.1%
86.0 1
 
1.1%
96.0 1
 
1.1%
Other values (13) 13
 
13.7%
ValueCountFrequency (%)
0.0 66
69.5%
12.0 1
 
1.1%
13.0 1
 
1.1%
70.1 1
 
1.1%
73.0 2
 
2.1%
75.0 2
 
2.1%
76.33 1
 
1.1%
78.0 1
 
1.1%
78.26 1
 
1.1%
79.0 2
 
2.1%
ValueCountFrequency (%)
102.0 1
 
1.1%
98.5 1
 
1.1%
96.0 1
 
1.1%
87.0 4
4.2%
86.0 1
 
1.1%
85.5 1
 
1.1%
84.0 1
 
1.1%
83.0 1
 
1.1%
82.0 1
 
1.1%
81.5 2
2.1%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.456632
Minimum0
Maximum106.17
Zeros26
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:44.889292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77.81
Q384.1
95-th percentile95.414
Maximum106.17
Range106.17
Interquartile range (IQR)84.1

Descriptive statistics

Standard deviation37.558162
Coefficient of variation (CV)0.63169004
Kurtosis-1.0271805
Mean59.456632
Median Absolute Deviation (MAD)8.64
Skewness-0.87684918
Sum5648.38
Variance1410.6155
MonotonicityNot monotonic
2024-04-21T05:45:45.323493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
27.4%
84.0 2
 
2.1%
83.0 1
 
1.1%
81.0 1
 
1.1%
76.42 1
 
1.1%
80.19 1
 
1.1%
95.0 1
 
1.1%
72.97 1
 
1.1%
79.03 1
 
1.1%
82.17 1
 
1.1%
Other values (59) 59
62.1%
ValueCountFrequency (%)
0.0 26
27.4%
52.25 1
 
1.1%
60.97 1
 
1.1%
66.25 1
 
1.1%
68.36 1
 
1.1%
72.08 1
 
1.1%
72.13 1
 
1.1%
72.92 1
 
1.1%
72.97 1
 
1.1%
73.34 1
 
1.1%
ValueCountFrequency (%)
106.17 1
1.1%
105.17 1
1.1%
102.07 1
1.1%
101.79 1
1.1%
96.38 1
1.1%
95.0 1
1.1%
93.48 1
1.1%
93.3 1
1.1%
92.61 1
1.1%
92.2 1
1.1%

11종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.217895
Minimum0
Maximum99
Zeros66
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:45.706627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365
95-th percentile86.6
Maximum99
Range99
Interquartile range (IQR)65

Descriptive statistics

Standard deviation35.436225
Coefficient of variation (CV)1.5949407
Kurtosis-0.77257922
Mean22.217895
Median Absolute Deviation (MAD)0
Skewness1.0606583
Sum2110.7
Variance1255.726
MonotonicityNot monotonic
2024-04-21T05:45:46.090688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 66
69.5%
65.0 3
 
3.2%
83.0 3
 
3.2%
88.0 2
 
2.1%
82.0 2
 
2.1%
89.0 2
 
2.1%
81.0 2
 
2.1%
74.0 1
 
1.1%
80.0 1
 
1.1%
85.0 1
 
1.1%
Other values (12) 12
 
12.6%
ValueCountFrequency (%)
0.0 66
69.5%
12.0 1
 
1.1%
25.0 1
 
1.1%
25.5 1
 
1.1%
62.0 1
 
1.1%
65.0 3
 
3.2%
66.0 1
 
1.1%
69.72 1
 
1.1%
70.48 1
 
1.1%
74.0 1
 
1.1%
ValueCountFrequency (%)
99.0 1
 
1.1%
89.0 2
2.1%
88.0 2
2.1%
86.0 1
 
1.1%
85.0 1
 
1.1%
83.0 3
3.2%
82.0 2
2.1%
81.0 2
2.1%
80.0 1
 
1.1%
79.0 1
 
1.1%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.396737
Minimum0
Maximum108
Zeros31
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:46.492555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77.1
Q385.81
95-th percentile100.299
Maximum108
Range108
Interquartile range (IQR)85.81

Descriptive statistics

Standard deviation40.382987
Coefficient of variation (CV)0.71605184
Kurtosis-1.4591136
Mean56.396737
Median Absolute Deviation (MAD)14.77
Skewness-0.60515498
Sum5357.69
Variance1630.7856
MonotonicityNot monotonic
2024-04-21T05:45:46.934160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
32.6%
80.0 2
 
2.1%
68.67 2
 
2.1%
80.86 1
 
1.1%
76.26 1
 
1.1%
80.17 1
 
1.1%
86.88 1
 
1.1%
100.6 1
 
1.1%
106.4 1
 
1.1%
94.5 1
 
1.1%
Other values (53) 53
55.8%
ValueCountFrequency (%)
0.0 31
32.6%
65.0 1
 
1.1%
66.51 1
 
1.1%
66.67 1
 
1.1%
66.89 1
 
1.1%
67.69 1
 
1.1%
68.3 1
 
1.1%
68.67 2
 
2.1%
71.42 1
 
1.1%
71.66 1
 
1.1%
ValueCountFrequency (%)
108.0 1
1.1%
106.4 1
1.1%
104.0 1
1.1%
101.25 1
1.1%
100.6 1
1.1%
100.17 1
1.1%
99.0 1
1.1%
98.99 1
1.1%
95.14 1
1.1%
94.5 1
1.1%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9231.2737
Minimum0
Maximum22892
Zeros7
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:47.278935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16499
median9638
Q312731.5
95-th percentile17470.3
Maximum22892
Range22892
Interquartile range (IQR)6232.5

Descriptive statistics

Standard deviation5257.0107
Coefficient of variation (CV)0.56947838
Kurtosis-0.30539375
Mean9231.2737
Median Absolute Deviation (MAD)3149
Skewness-0.14072351
Sum876971
Variance27636162
MonotonicityNot monotonic
2024-04-21T05:45:47.519626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.4%
10493 1
 
1.1%
16367 1
 
1.1%
19415 1
 
1.1%
10073 1
 
1.1%
16017 1
 
1.1%
16003 1
 
1.1%
6284 1
 
1.1%
115 1
 
1.1%
5 1
 
1.1%
Other values (79) 79
83.2%
ValueCountFrequency (%)
0 7
7.4%
1 1
 
1.1%
5 1
 
1.1%
13 1
 
1.1%
34 1
 
1.1%
115 1
 
1.1%
126 1
 
1.1%
2194 1
 
1.1%
3190 1
 
1.1%
4138 1
 
1.1%
ValueCountFrequency (%)
22892 1
1.1%
19415 1
1.1%
18024 1
1.1%
17874 1
1.1%
17828 1
1.1%
17317 1
1.1%
17248 1
1.1%
16367 1
1.1%
16242 1
1.1%
16017 1
1.1%

2종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.673684
Minimum0
Maximum278
Zeros14
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:47.751504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median50
Q397
95-th percentile183.4
Maximum278
Range278
Interquartile range (IQR)80

Descriptive statistics

Standard deviation63.459225
Coefficient of variation (CV)0.95178819
Kurtosis2.0503964
Mean66.673684
Median Absolute Deviation (MAD)38
Skewness1.383016
Sum6334
Variance4027.0732
MonotonicityNot monotonic
2024-04-21T05:45:48.103097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
14.7%
47 3
 
3.2%
97 3
 
3.2%
78 3
 
3.2%
48 2
 
2.1%
57 2
 
2.1%
12 2
 
2.1%
83 2
 
2.1%
45 2
 
2.1%
33 2
 
2.1%
Other values (56) 60
63.2%
ValueCountFrequency (%)
0 14
14.7%
2 1
 
1.1%
3 1
 
1.1%
6 1
 
1.1%
9 1
 
1.1%
10 1
 
1.1%
12 2
 
2.1%
14 1
 
1.1%
15 1
 
1.1%
17 2
 
2.1%
ValueCountFrequency (%)
278 1
1.1%
264 1
1.1%
261 1
1.1%
253 1
1.1%
189 1
1.1%
181 1
1.1%
172 1
1.1%
154 1
1.1%
153 1
1.1%
144 1
1.1%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.77895
Minimum0
Maximum12976
Zeros9
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:48.516373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1262
median554
Q31042
95-th percentile1667.5
Maximum12976
Range12976
Interquartile range (IQR)780

Descriptive statistics

Standard deviation1929.1523
Coefficient of variation (CV)2.0247638
Kurtosis28.963577
Mean952.77895
Median Absolute Deviation (MAD)382
Skewness5.2409985
Sum90514
Variance3721628.7
MonotonicityNot monotonic
2024-04-21T05:45:48.972033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
9.5%
749 2
 
2.1%
762 2
 
2.1%
172 2
 
2.1%
824 1
 
1.1%
371 1
 
1.1%
29 1
 
1.1%
427 1
 
1.1%
731 1
 
1.1%
677 1
 
1.1%
Other values (74) 74
77.9%
ValueCountFrequency (%)
0 9
9.5%
1 1
 
1.1%
14 1
 
1.1%
29 1
 
1.1%
51 1
 
1.1%
66 1
 
1.1%
84 1
 
1.1%
119 1
 
1.1%
147 1
 
1.1%
155 1
 
1.1%
ValueCountFrequency (%)
12976 1
1.1%
12230 1
1.1%
7696 1
1.1%
2410 1
1.1%
1734 1
1.1%
1639 1
1.1%
1574 1
1.1%
1545 1
1.1%
1544 1
1.1%
1394 1
1.1%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.73684
Minimum0
Maximum6313
Zeros10
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:49.384956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.5
median190
Q3514
95-th percentile958.2
Maximum6313
Range6313
Interquartile range (IQR)483.5

Descriptive statistics

Standard deviation706.764
Coefficient of variation (CV)1.8466056
Kurtosis53.277942
Mean382.73684
Median Absolute Deviation (MAD)179
Skewness6.4816844
Sum36360
Variance499515.34
MonotonicityNot monotonic
2024-04-21T05:45:49.810422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
10.5%
11 4
 
4.2%
22 2
 
2.1%
26 2
 
2.1%
6313 1
 
1.1%
1250 1
 
1.1%
975 1
 
1.1%
45 1
 
1.1%
1450 1
 
1.1%
846 1
 
1.1%
Other values (71) 71
74.7%
ValueCountFrequency (%)
0 10
10.5%
10 1
 
1.1%
11 4
 
4.2%
15 1
 
1.1%
17 1
 
1.1%
22 2
 
2.1%
25 1
 
1.1%
26 2
 
2.1%
27 1
 
1.1%
30 1
 
1.1%
ValueCountFrequency (%)
6313 1
1.1%
1450 1
1.1%
1250 1
1.1%
1099 1
1.1%
975 1
1.1%
951 1
1.1%
947 1
1.1%
942 1
1.1%
931 1
1.1%
919 1
1.1%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.35789
Minimum0
Maximum599
Zeros9
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:50.213793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median47
Q3287
95-th percentile510.1
Maximum599
Range599
Interquartile range (IQR)277.5

Descriptive statistics

Standard deviation174.17177
Coefficient of variation (CV)1.0929598
Kurtosis-0.40082728
Mean159.35789
Median Absolute Deviation (MAD)47
Skewness0.85361277
Sum15139
Variance30335.807
MonotonicityNot monotonic
2024-04-21T05:45:50.644647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
9.5%
8 3
 
3.2%
1 3
 
3.2%
7 2
 
2.1%
322 2
 
2.1%
6 2
 
2.1%
5 2
 
2.1%
16 2
 
2.1%
10 2
 
2.1%
179 2
 
2.1%
Other values (64) 66
69.5%
ValueCountFrequency (%)
0 9
9.5%
1 3
 
3.2%
2 1
 
1.1%
4 1
 
1.1%
5 2
 
2.1%
6 2
 
2.1%
7 2
 
2.1%
8 3
 
3.2%
9 1
 
1.1%
10 2
 
2.1%
ValueCountFrequency (%)
599 1
1.1%
590 1
1.1%
545 1
1.1%
542 1
1.1%
522 1
1.1%
505 1
1.1%
503 1
1.1%
486 1
1.1%
408 1
1.1%
398 1
1.1%

6종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.61053
Minimum0
Maximum652
Zeros13
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:51.271590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median43
Q3181
95-th percentile398.7
Maximum652
Range652
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation135.9685
Coefficient of variation (CV)1.2404693
Kurtosis2.0466827
Mean109.61053
Median Absolute Deviation (MAD)43
Skewness1.4574382
Sum10413
Variance18487.432
MonotonicityNot monotonic
2024-04-21T05:45:51.707030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
13.7%
6 3
 
3.2%
5 3
 
3.2%
1 3
 
3.2%
12 2
 
2.1%
11 2
 
2.1%
13 2
 
2.1%
7 2
 
2.1%
152 2
 
2.1%
25 2
 
2.1%
Other values (59) 61
64.2%
ValueCountFrequency (%)
0 13
13.7%
1 3
 
3.2%
2 2
 
2.1%
3 2
 
2.1%
4 1
 
1.1%
5 3
 
3.2%
6 3
 
3.2%
7 2
 
2.1%
8 1
 
1.1%
9 1
 
1.1%
ValueCountFrequency (%)
652 1
1.1%
470 1
1.1%
428 1
1.1%
415 1
1.1%
405 1
1.1%
396 1
1.1%
350 1
1.1%
324 1
1.1%
321 1
1.1%
283 1
1.1%

7종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.136842
Minimum0
Maximum309
Zeros20
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:52.123746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q3103.5
95-th percentile247.6
Maximum309
Range309
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation82.034063
Coefficient of variation (CV)1.3641232
Kurtosis1.0445376
Mean60.136842
Median Absolute Deviation (MAD)11
Skewness1.409969
Sum5713
Variance6729.5875
MonotonicityNot monotonic
2024-04-21T05:45:52.572431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
21.1%
1 6
 
6.3%
2 4
 
4.2%
10 3
 
3.2%
11 3
 
3.2%
9 3
 
3.2%
8 2
 
2.1%
18 2
 
2.1%
128 2
 
2.1%
144 2
 
2.1%
Other values (44) 48
50.5%
ValueCountFrequency (%)
0 20
21.1%
1 6
 
6.3%
2 4
 
4.2%
3 2
 
2.1%
4 1
 
1.1%
6 2
 
2.1%
7 2
 
2.1%
8 2
 
2.1%
9 3
 
3.2%
10 3
 
3.2%
ValueCountFrequency (%)
309 1
1.1%
295 1
1.1%
272 1
1.1%
270 1
1.1%
263 1
1.1%
241 1
1.1%
215 1
1.1%
213 1
1.1%
190 1
1.1%
178 1
1.1%

8종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.189474
Minimum0
Maximum181
Zeros30
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:52.982216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q332
95-th percentile100.1
Maximum181
Range181
Interquartile range (IQR)32

Descriptive statistics

Standard deviation38.806474
Coefficient of variation (CV)1.6042711
Kurtosis5.5553056
Mean24.189474
Median Absolute Deviation (MAD)6
Skewness2.3125844
Sum2298
Variance1505.9424
MonotonicityNot monotonic
2024-04-21T05:45:53.398982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 30
31.6%
1 8
 
8.4%
3 5
 
5.3%
8 3
 
3.2%
10 3
 
3.2%
2 3
 
3.2%
28 2
 
2.1%
16 2
 
2.1%
38 2
 
2.1%
15 2
 
2.1%
Other values (31) 35
36.8%
ValueCountFrequency (%)
0 30
31.6%
1 8
 
8.4%
2 3
 
3.2%
3 5
 
5.3%
4 1
 
1.1%
6 2
 
2.1%
8 3
 
3.2%
9 1
 
1.1%
10 3
 
3.2%
13 1
 
1.1%
ValueCountFrequency (%)
181 1
1.1%
173 1
1.1%
155 1
1.1%
142 1
1.1%
105 1
1.1%
98 1
1.1%
94 1
1.1%
85 1
1.1%
82 1
1.1%
69 1
1.1%

9종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8
Minimum0
Maximum12
Zeros66
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:53.761358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.6
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8770733
Coefficient of variation (CV)2.3463417
Kurtosis16.152862
Mean0.8
Median Absolute Deviation (MAD)0
Skewness3.6978071
Sum76
Variance3.5234043
MonotonicityNot monotonic
2024-04-21T05:45:54.123440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 66
69.5%
1 14
 
14.7%
2 6
 
6.3%
3 4
 
4.2%
7 1
 
1.1%
12 1
 
1.1%
6 1
 
1.1%
5 1
 
1.1%
8 1
 
1.1%
ValueCountFrequency (%)
0 66
69.5%
1 14
 
14.7%
2 6
 
6.3%
3 4
 
4.2%
5 1
 
1.1%
6 1
 
1.1%
7 1
 
1.1%
8 1
 
1.1%
12 1
 
1.1%
ValueCountFrequency (%)
12 1
 
1.1%
8 1
 
1.1%
7 1
 
1.1%
6 1
 
1.1%
5 1
 
1.1%
3 4
 
4.2%
2 6
 
6.3%
1 14
 
14.7%
0 66
69.5%

10종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.873684
Minimum0
Maximum406
Zeros26
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:54.505126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q364
95-th percentile213.2
Maximum406
Range406
Interquartile range (IQR)64

Descriptive statistics

Standard deviation80.149626
Coefficient of variation (CV)1.6399342
Kurtosis6.0344598
Mean48.873684
Median Absolute Deviation (MAD)10
Skewness2.3806272
Sum4643
Variance6423.9626
MonotonicityNot monotonic
2024-04-21T05:45:54.952015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 26
27.4%
1 5
 
5.3%
8 4
 
4.2%
10 4
 
4.2%
4 3
 
3.2%
6 3
 
3.2%
2 3
 
3.2%
133 2
 
2.1%
64 2
 
2.1%
16 2
 
2.1%
Other values (37) 41
43.2%
ValueCountFrequency (%)
0 26
27.4%
1 5
 
5.3%
2 3
 
3.2%
3 2
 
2.1%
4 3
 
3.2%
6 3
 
3.2%
7 1
 
1.1%
8 4
 
4.2%
10 4
 
4.2%
11 1
 
1.1%
ValueCountFrequency (%)
406 1
1.1%
331 1
1.1%
298 1
1.1%
288 1
1.1%
258 1
1.1%
194 1
1.1%
175 1
1.1%
165 1
1.1%
158 1
1.1%
151 1
1.1%
Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size888.0 B
0
66 
1
23 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 66
69.5%
1 23
 
24.2%
2 6
 
6.3%

Length

2024-04-21T05:45:55.360500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:45:55.654910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 66
69.5%
1 23
 
24.2%
2 6
 
6.3%

12종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.621053
Minimum0
Maximum273
Zeros31
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:55.962760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321.5
95-th percentile109.7
Maximum273
Range273
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation42.966137
Coefficient of variation (CV)1.9872361
Kurtosis13.740376
Mean21.621053
Median Absolute Deviation (MAD)4
Skewness3.3462786
Sum2054
Variance1846.0889
MonotonicityNot monotonic
2024-04-21T05:45:56.355881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 31
32.6%
1 6
 
6.3%
2 5
 
5.3%
5 5
 
5.3%
3 3
 
3.2%
6 3
 
3.2%
7 3
 
3.2%
4 3
 
3.2%
17 2
 
2.1%
10 2
 
2.1%
Other values (30) 32
33.7%
ValueCountFrequency (%)
0 31
32.6%
1 6
 
6.3%
2 5
 
5.3%
3 3
 
3.2%
4 3
 
3.2%
5 5
 
5.3%
6 3
 
3.2%
7 3
 
3.2%
8 2
 
2.1%
10 2
 
2.1%
ValueCountFrequency (%)
273 1
1.1%
163 1
1.1%
155 1
1.1%
132 1
1.1%
116 1
1.1%
107 1
1.1%
97 1
1.1%
77 1
1.1%
75 1
1.1%
70 1
1.1%

차량통과수(대)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11058.421
Minimum0
Maximum24706
Zeros7
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:56.762516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18719.5
median11215
Q314060.5
95-th percentile19058.4
Maximum24706
Range24706
Interquartile range (IQR)5341

Descriptive statistics

Standard deviation5185.0393
Coefficient of variation (CV)0.468877
Kurtosis0.36234127
Mean11058.421
Median Absolute Deviation (MAD)2680
Skewness-0.38299493
Sum1050550
Variance26884633
MonotonicityNot monotonic
2024-04-21T05:45:57.192386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
7.4%
10784 1
 
1.1%
18232 1
 
1.1%
19978 1
 
1.1%
13563 1
 
1.1%
18143 1
 
1.1%
16123 1
 
1.1%
8226 1
 
1.1%
8130 1
 
1.1%
7860 1
 
1.1%
Other values (79) 79
83.2%
ValueCountFrequency (%)
0 7
7.4%
1 1
 
1.1%
151 1
 
1.1%
3596 1
 
1.1%
5476 1
 
1.1%
5485 1
 
1.1%
5789 1
 
1.1%
5819 1
 
1.1%
6613 1
 
1.1%
7431 1
 
1.1%
ValueCountFrequency (%)
24706 1
1.1%
19978 1
1.1%
19560 1
1.1%
19433 1
1.1%
19295 1
1.1%
18957 1
1.1%
18417 1
1.1%
18295 1
1.1%
18232 1
1.1%
18143 1
1.1%

평균 속도(km)
Real number (ℝ)

ZEROS 

Distinct89
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.224842
Minimum0
Maximum116.83
Zeros7
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:57.597967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182.375
median88.44
Q397.605
95-th percentile108.438
Maximum116.83
Range116.83
Interquartile range (IQR)15.23

Descriptive statistics

Standard deviation25.964287
Coefficient of variation (CV)0.3082735
Kurtosis5.8410933
Mean84.224842
Median Absolute Deviation (MAD)8.35
Skewness-2.446013
Sum8001.36
Variance674.1442
MonotonicityNot monotonic
2024-04-21T05:45:58.040139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
7.4%
94.85 1
 
1.1%
84.16 1
 
1.1%
101.89 1
 
1.1%
77.51 1
 
1.1%
82.97 1
 
1.1%
98.88 1
 
1.1%
87.7 1
 
1.1%
102.39 1
 
1.1%
105.35 1
 
1.1%
Other values (79) 79
83.2%
ValueCountFrequency (%)
0.0 7
7.4%
67.14 1
 
1.1%
69.65 1
 
1.1%
72.44 1
 
1.1%
75.91 1
 
1.1%
75.94 1
 
1.1%
75.95 1
 
1.1%
76.38 1
 
1.1%
76.77 1
 
1.1%
76.79 1
 
1.1%
ValueCountFrequency (%)
116.83 1
1.1%
112.21 1
1.1%
110.13 1
1.1%
109.68 1
1.1%
109.39 1
1.1%
108.03 1
1.1%
107.93 1
1.1%
107.87 1
1.1%
107.56 1
1.1%
105.35 1
1.1%

위도(°)
Real number (ℝ)

Distinct18
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.332436
Minimum34.983889
Maximum35.840833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:58.427344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.983889
5-th percentile35.020278
Q135.223611
median35.2725
Q335.306944
95-th percentile35.835556
Maximum35.840833
Range0.85694444
Interquartile range (IQR)0.08333333

Descriptive statistics

Standard deviation0.23854226
Coefficient of variation (CV)0.0067513676
Kurtosis0.2205729
Mean35.332436
Median Absolute Deviation (MAD)0.04888889
Skewness1.0873859
Sum3356.5814
Variance0.056902411
MonotonicityNot monotonic
2024-04-21T05:45:58.796304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
35.22361111 14
14.7%
35.2725 8
 
8.4%
35.27583333 7
 
7.4%
35.30694444 6
 
6.3%
35.2425 6
 
6.3%
35.29388889 6
 
6.3%
35.27694444 4
 
4.2%
35.02027778 4
 
4.2%
35.84083333 4
 
4.2%
35.77111111 4
 
4.2%
Other values (8) 32
33.7%
ValueCountFrequency (%)
34.98388889 4
 
4.2%
35.02027778 4
 
4.2%
35.09166667 4
 
4.2%
35.16055556 4
 
4.2%
35.22361111 14
14.7%
35.23972222 4
 
4.2%
35.2425 6
6.3%
35.2725 8
8.4%
35.27416667 4
 
4.2%
35.27583333 7
7.4%
ValueCountFrequency (%)
35.84083333 4
4.2%
35.83555556 4
4.2%
35.77222222 4
4.2%
35.77111111 4
4.2%
35.55305556 4
4.2%
35.30694444 6
6.3%
35.29388889 6
6.3%
35.27694444 4
4.2%
35.27583333 7
7.4%
35.27416667 4
4.2%

경도(°)
Real number (ℝ)

Distinct19
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.80577
Minimum127.76028
Maximum130.08667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size983.0 B
2024-04-21T05:45:59.152323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.76028
5-th percentile127.85972
Q1128.41056
median128.835
Q3129.04097
95-th percentile129.83139
Maximum130.08667
Range2.3263889
Interquartile range (IQR)0.63041665

Descriptive statistics

Standard deviation0.59680518
Coefficient of variation (CV)0.0046333728
Kurtosis-0.3593218
Mean128.80577
Median Absolute Deviation (MAD)0.3627778
Skewness0.18929029
Sum12236.549
Variance0.35617642
MonotonicityNot monotonic
2024-04-21T05:45:59.517762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
128.6713889 8
 
8.4%
128.835 8
 
8.4%
128.9847222 7
 
7.4%
129.0747222 6
 
6.3%
129.8313889 6
 
6.3%
128.9838889 6
 
6.3%
129.0072222 6
 
6.3%
128.9788889 4
 
4.2%
127.8597222 4
 
4.2%
129.3355556 4
 
4.2%
Other values (9) 36
37.9%
ValueCountFrequency (%)
127.7602778 4
4.2%
127.8597222 4
4.2%
127.99 4
4.2%
128.0652778 4
4.2%
128.1725 4
4.2%
128.3697222 4
4.2%
128.45138889999998 4
4.2%
128.4722222 4
4.2%
128.6713889 8
8.4%
128.835 8
8.4%
ValueCountFrequency (%)
130.08666670000002 4
4.2%
129.8313889 6
6.3%
129.51305559999997 4
4.2%
129.3355556 4
4.2%
129.0747222 6
6.3%
129.0072222 6
6.3%
128.9847222 7
7.4%
128.9838889 6
6.3%
128.9788889 4
4.2%
128.835 8
8.4%

기울기(°)
Real number (ℝ)

Distinct37
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.11842105
Minimum-5.44
Maximum3.07
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)47.4%
Memory size983.0 B
2024-04-21T05:45:59.874403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.44
5-th percentile-2.863
Q1-0.61
median0.07
Q30.75
95-th percentile2.57
Maximum3.07
Range8.51
Interquartile range (IQR)1.36

Descriptive statistics

Standard deviation1.5841108
Coefficient of variation (CV)-13.376936
Kurtosis1.8099508
Mean-0.11842105
Median Absolute Deviation (MAD)0.68
Skewness-0.67784237
Sum-11.25
Variance2.5094071
MonotonicityNot monotonic
2024-04-21T05:46:00.257952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.2 7
 
7.4%
-0.61 5
 
5.3%
0.19 4
 
4.2%
-0.38 4
 
4.2%
0.07 3
 
3.2%
-3.15 3
 
3.2%
3.07 3
 
3.2%
0.75 3
 
3.2%
-0.31 3
 
3.2%
0.3 3
 
3.2%
Other values (27) 57
60.0%
ValueCountFrequency (%)
-5.44 2
2.1%
-3.15 3
3.2%
-2.74 2
2.1%
-2.38 2
2.1%
-2.27 2
2.1%
-1.61 2
2.1%
-1.54 2
2.1%
-1.48 2
2.1%
-1.26 2
2.1%
-1.07 2
2.1%
ValueCountFrequency (%)
3.07 3
3.2%
2.78 2
2.1%
2.48 2
2.1%
2.27 2
2.1%
1.51 2
2.1%
1.45 2
2.1%
1.09 2
2.1%
0.99 2
2.1%
0.85 2
2.1%
0.84 2
2.1%

주소
Categorical

Distinct17
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size888.0 B
경남 김해시 대동면
17 
경남 창원시 동읍 덕산리
경남 김해시 불암동
경남 양산시 동면
경남 김해시 주촌면 망덕리
Other values (12)
50 

Length

Max length14
Median length13
Mean length11.915789
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경남 김해시 대동면 17
17.9%
경남 창원시 동읍 덕산리 8
 
8.4%
경남 김해시 불암동 8
 
8.4%
경남 양산시 동면 6
 
6.3%
경남 김해시 주촌면 망덕리 6
 
6.3%
경남 양산시 물금읍 6
 
6.3%
경남 함양군 지곡면 보산리 4
 
4.2%
경남 진주시 금곡면 두문리 4
 
4.2%
경남 진주시 명석면 오미리 4
 
4.2%
대구 달성군 옥포면 송촌리 4
 
4.2%
Other values (7) 28
29.5%

Length

2024-04-21T05:46:00.654113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경남 87
26.0%
김해시 39
 
11.6%
대동면 21
 
6.3%
양산시 12
 
3.6%
진주시 12
 
3.6%
창원시 8
 
2.4%
동읍 8
 
2.4%
덕산리 8
 
2.4%
불암동 8
 
2.4%
동면 6
 
1.8%
Other values (30) 126
37.6%

Sample

기본키도로종류측정일지점방향차선측정구간장비이정(km)측정시간1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)차량통과수(대)평균 속도(km)위도(°)경도(°)기울기(°)주소
01도로공사20200501A-0550-0096E-8E5대감JC-대동JC9.600.00.00.00.00.00.00.00.00.00.00.00.000000000000000.035.275833128.9847220.2경남 김해시 대동면
12도로공사20200501A-0550-0096E-8E6대감JC-대동JC9.600.00.00.00.00.00.00.00.00.00.00.00.000000000000000.035.275833128.9847220.2경남 김해시 대동면
23도로공사20200501A-0550-0096E-8E7대감JC-대동JC9.600.00.00.00.00.00.00.00.00.00.00.00.000000000000000.035.275833128.9847220.2경남 김해시 대동면
34도로공사20200501A-0550-0096E-8E1대감JC-대동JC9.6098.4199.596.794.591.9287.587.083.00.090.00.087.594253032051102110102984397.4835.275833128.9847220.2경남 김해시 대동면
45도로공사20200501A-0550-0096E-8E2대감JC-대동JC9.6090.7191.4387.1880.7279.6180.9179.7381.240.080.4776.081.556489235684261814926360116127794283.8535.275833128.9847220.2경남 김해시 대동면
56도로공사20200501A-0550-0096E-8E3대감JC-대동JC9.6080.0678.4978.6475.0971.8170.7472.8675.660.072.0865.071.42143685916398532471645510501332231764875.9535.275833128.9847220.2경남 김해시 대동면
67도로공사20200501A-0550-0096E-8E4대감JC-대동JC9.6068.0168.668.466.6764.7967.6465.5566.080.066.250.068.6712644567705712691297718038031457567.1435.275833128.9847220.2경남 김해시 대동면
78도로공사20200501A-0351-1078E-4S1지곡IC-함양JC107.8095.53105.7105.9799.5995.3893.697.810.0102.0101.790.099.010744154287262051701100511269100.9435.553056127.760278-2.74경남 함양군 지곡면 보산리
89도로공사20200501A-0351-1078E-4S2지곡IC-함양JC107.8083.45101.491.1985.0687.0688.0688.1986.040.089.8999.088.6510619132667425347179165250671151264288.7935.553056127.760278-2.74경남 함양군 지곡면 보산리
910도로공사20200501A-0351-1078E-4E1함양JC-지곡IC107.8094.22104.08106.0188.3683.5183.1679.3186.00.075.00.00.01088818130168342511301001151299.3835.553056127.7602782.78경남 함양군 지곡면 보산리
기본키도로종류측정일지점방향차선측정구간장비이정(km)측정시간1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)차량통과수(대)평균 속도(km)위도(°)경도(°)기울기(°)주소
8586도로공사20200501A-0010-0083E-6S1양산JC-노포JC8.30101.55102.83113.69103.80.00.00.00.00.00.00.00.01366350155270000000013895107.8735.306944129.0747223.07경남 양산시 동면
8687도로공사20200501A-0010-0083E-6S2양산JC-노포JC8.3085.398.2393.3188.4784.5384.050.090.360.084.20.086.01307727812022432513010013011486290.6735.306944129.0747223.07경남 양산시 동면
8788도로공사20200501A-0010-0083E-6S3양산JC-노포JC8.3083.4494.0889.8677.4976.8279.9873.5779.690.077.810.068.3710515392186023111731690117019962382.4735.306944129.0747223.07경남 양산시 동면
8889도로공사20200501A-0010-0083E-6E1노포JC-양산JC8.30101.09109.13112.34110.23107.00.00.00.00.00.00.00.01093252119221000000011126107.5635.306944129.074722-3.15경남 양산시 동면
8990도로공사20200501A-0010-0083E-6E2노포JC-양산JC8.3089.18103.6498.0995.3898.21102.42103.5102.00.0102.070.0104.0131442649572461693208021465196.7935.306944129.074722-3.15경남 양산시 동면
9091도로공사20200501A-0010-0083E-6E3노포JC-양산JC8.3086.12101.1190.7185.2190.4391.193.9893.3896.093.4885.092.29752414412299422176058401116171033990.8535.306944129.074722-3.15경남 양산시 동면
9192도로공사20200501A-0100-0407S-4S1진교IC-하동IC40.7084.6996.9894.2587.2881.9781.5781.085.8886.073.340.065.0143351213585719302814011493690.1535.020278127.8597220.84경남 하동군 고전면
9293도로공사20200501A-0100-0407S-4S2진교IC-하동IC40.7077.7793.4384.3575.273.0974.8764.2978.4278.068.360.066.89953057113150450335012817381280401255275.9435.020278127.8597220.84경남 하동군 고전면
9394도로공사20200501A-0100-0407S-4E1하동IC-진교IC40.7098.76104.1109.6298.1392.1287.581.4287.750.087.640.090.01371078373591911840110114274102.6535.020278127.859722-1.26경남 하동군 고전면
9495도로공사20200501A-0100-0407S-4E2하동IC-진교IC40.7088.6599.9293.981.6379.9279.676.4683.260.076.6480.077.18241977495243372472705204061471097184.0635.020278127.859722-1.26경남 하동군 고전면