Overview

Dataset statistics

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

Variable types

Categorical17
Numeric18

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
9종 차량 속도(km/hr) has constant value ""Constant
9종 차량수(대) has constant value ""Constant
11종 차량 속도(km/hr) is highly imbalanced (78.9%)Imbalance
8종 차량수(대) is highly imbalanced (56.1%)Imbalance
11종 차량수(대) is highly imbalanced (78.9%)Imbalance
1종 차량 속도(km/hr) has 1 (3.3%) zerosZeros
2종 차량 속도(km/hr) has 23 (76.7%) zerosZeros
3종 차량 속도(km/hr) has 12 (40.0%) zerosZeros
4종 차량 속도(km/hr) has 13 (43.3%) zerosZeros
5종 차량 속도(km/hr) has 12 (40.0%) zerosZeros
6종 차량 속도(km/hr) has 22 (73.3%) zerosZeros
7종 차량 속도(km/hr) has 19 (63.3%) zerosZeros
8종 차량 속도(km/hr) has 25 (83.3%) zerosZeros
10종 차량 속도(km/hr) has 18 (60.0%) zerosZeros
12종 차량 속도(km/hr) has 22 (73.3%) zerosZeros
1종 차량수(대) has 1 (3.3%) zerosZeros
3종 차량수(대) has 12 (40.0%) zerosZeros
4종 차량수(대) has 13 (43.3%) zerosZeros
5종 차량수(대) has 12 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:29:07.383908
Analysis finished2023-12-10 10:29:07.841424
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로종류
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로공사 30
100.0%

Length

2023-12-10T19:29:07.951415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:08.130269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 30
100.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
20200401
30 

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 30
100.0%

Length

2023-12-10T19:29:08.393066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:08.560037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200401 30
100.0%

지점
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
A-0010-0083E-6
6 
A-5510-0116E-6
4 
A-6000-0062E-4
4 
A-6000-0265E-4
4 
A-0100-0407S-4
4 
Other values (2)
8 

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-6000-0062E-4

Common Values

ValueCountFrequency (%)
A-0010-0083E-6 6
20.0%
A-5510-0116E-6 4
13.3%
A-6000-0062E-4 4
13.3%
A-6000-0265E-4 4
13.3%
A-0100-0407S-4 4
13.3%
A-0160-0058E-4 4
13.3%
A-0450-0480S-4 4
13.3%

Length

2023-12-10T19:29:08.730345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:08.906981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a-0010-0083e-6 6
20.0%
a-5510-0116e-6 4
13.3%
a-6000-0062e-4 4
13.3%
a-6000-0265e-4 4
13.3%
a-0100-0407s-4 4
13.3%
a-0160-0058e-4 4
13.3%
a-0450-0480s-4 4
13.3%

방향
Categorical

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T19:29:09.109827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:09.287339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 16
53.3%
s 14
46.7%

차선
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
13 
2
13 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
43.3%
2 13
43.3%
3 4
 
13.3%

Length

2023-12-10T19:29:09.464633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:09.647146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
43.3%
2 13
43.3%
3 4
 
13.3%

측정구간
Categorical

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
대동JC-물금IC
3 
양산JC-노포JC
3 
노포JC-양산JC
3 
한림IC-진영IC
2 
진영IC-한림IC
2 
Other values (9)
17 

Length

Max length11
Median length9
Mean length9.4
Min length9

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
대동JC-물금IC 3
10.0%
양산JC-노포JC 3
10.0%
노포JC-양산JC 3
10.0%
한림IC-진영IC 2
 
6.7%
진영IC-한림IC 2
 
6.7%
김해가야Hi-대감JC 2
 
6.7%
대감JC-김해가야Hi 2
 
6.7%
진교IC-하동IC 2
 
6.7%
하동IC-진교IC 2
 
6.7%
울산JCT-언양JC 2
 
6.7%
Other values (4) 7
23.3%

Length

2023-12-10T19:29:09.848542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대동jc-물금ic 3
10.0%
양산jc-노포jc 3
10.0%
노포jc-양산jc 3
10.0%
한림ic-진영ic 2
 
6.7%
진영ic-한림ic 2
 
6.7%
김해가야hi-대감jc 2
 
6.7%
대감jc-김해가야hi 2
 
6.7%
진교ic-하동ic 2
 
6.7%
하동ic-진교ic 2
 
6.7%
울산jct-언양jc 2
 
6.7%
Other values (4) 7
23.3%

장비이정(km)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.196
Minimum5.8
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:10.043835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile5.8
Q16.7475
median11.6
Q337.1975
95-th percentile48
Maximum48
Range42.2
Interquartile range (IQR)30.45

Descriptive statistics

Standard deviation16.290915
Coefficient of variation (CV)0.80664068
Kurtosis-1.1868952
Mean20.196
Median Absolute Deviation (MAD)5.8
Skewness0.73559386
Sum605.88
Variance265.39391
MonotonicityNot monotonic
2023-12-10T19:29:10.259151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8.3 6
20.0%
11.6 4
13.3%
6.23 4
13.3%
26.69 4
13.3%
40.7 4
13.3%
5.8 4
13.3%
48.0 4
13.3%
ValueCountFrequency (%)
5.8 4
13.3%
6.23 4
13.3%
8.3 6
20.0%
11.6 4
13.3%
26.69 4
13.3%
40.7 4
13.3%
48.0 4
13.3%
ValueCountFrequency (%)
48.0 4
13.3%
40.7 4
13.3%
26.69 4
13.3%
11.6 4
13.3%
8.3 6
20.0%
6.23 4
13.3%
5.8 4
13.3%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.133333
Minimum0
Maximum129
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:10.537796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83.25
Q193.25
median99.5
Q3107.75
95-th percentile116.1
Maximum129
Range129
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation21.274452
Coefficient of variation (CV)0.21679129
Kurtosis16.160873
Mean98.133333
Median Absolute Deviation (MAD)7
Skewness-3.4525123
Sum2944
Variance452.6023
MonotonicityNot monotonic
2023-12-10T19:29:10.755671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
105 3
 
10.0%
115 2
 
6.7%
97 2
 
6.7%
99 2
 
6.7%
111 2
 
6.7%
93 2
 
6.7%
89 2
 
6.7%
96 1
 
3.3%
0 1
 
3.3%
117 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 1
3.3%
81 1
3.3%
86 1
3.3%
89 2
6.7%
90 1
3.3%
93 2
6.7%
94 1
3.3%
95 1
3.3%
96 1
3.3%
97 2
6.7%
ValueCountFrequency (%)
129 1
 
3.3%
117 1
 
3.3%
115 2
6.7%
111 2
6.7%
109 1
 
3.3%
108 1
 
3.3%
107 1
 
3.3%
106 1
 
3.3%
105 3
10.0%
103 1
 
3.3%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.1
Minimum0
Maximum106
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:10.951382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100.05
Maximum106
Range106
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.286174
Coefficient of variation (CV)1.861904
Kurtosis0.080315744
Mean21.1
Median Absolute Deviation (MAD)0
Skewness1.400905
Sum633
Variance1543.4034
MonotonicityNot monotonic
2023-12-10T19:29:11.130220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 23
76.7%
94 1
 
3.3%
82 1
 
3.3%
106 1
 
3.3%
105 1
 
3.3%
87 1
 
3.3%
73 1
 
3.3%
86 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
73 1
 
3.3%
82 1
 
3.3%
86 1
 
3.3%
87 1
 
3.3%
94 1
 
3.3%
105 1
 
3.3%
106 1
 
3.3%
ValueCountFrequency (%)
106 1
 
3.3%
105 1
 
3.3%
94 1
 
3.3%
87 1
 
3.3%
86 1
 
3.3%
82 1
 
3.3%
73 1
 
3.3%
0 23
76.7%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.866667
Minimum0
Maximum126
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:11.291897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q394.25
95-th percentile119.95
Maximum126
Range126
Interquartile range (IQR)94.25

Descriptive statistics

Standard deviation49.369636
Coefficient of variation (CV)0.85316191
Kurtosis-1.8127153
Mean57.866667
Median Absolute Deviation (MAD)26
Skewness-0.25744819
Sum1736
Variance2437.3609
MonotonicityNot monotonic
2023-12-10T19:29:11.476511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
40.0%
85 3
 
10.0%
91 3
 
10.0%
124 1
 
3.3%
87 1
 
3.3%
67 1
 
3.3%
106 1
 
3.3%
115 1
 
3.3%
95 1
 
3.3%
90 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 12
40.0%
67 1
 
3.3%
85 3
 
10.0%
87 1
 
3.3%
90 1
 
3.3%
91 3
 
10.0%
92 1
 
3.3%
95 1
 
3.3%
97 1
 
3.3%
102 1
 
3.3%
ValueCountFrequency (%)
126 1
 
3.3%
124 1
 
3.3%
115 1
 
3.3%
107 1
 
3.3%
106 1
 
3.3%
102 1
 
3.3%
97 1
 
3.3%
95 1
 
3.3%
92 1
 
3.3%
91 3
10.0%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.133333
Minimum0
Maximum98
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:11.650538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median73
Q381.75
95-th percentile92.55
Maximum98
Range98
Interquartile range (IQR)81.75

Descriptive statistics

Standard deviation41.465177
Coefficient of variation (CV)0.89881164
Kurtosis-1.9958421
Mean46.133333
Median Absolute Deviation (MAD)19.5
Skewness-0.21649735
Sum1384
Variance1719.3609
MonotonicityNot monotonic
2023-12-10T19:29:11.833464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 13
43.3%
77 4
 
13.3%
83 2
 
6.7%
86 1
 
3.3%
78 1
 
3.3%
76 1
 
3.3%
98 1
 
3.3%
82 1
 
3.3%
81 1
 
3.3%
93 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 13
43.3%
67 1
 
3.3%
70 1
 
3.3%
76 1
 
3.3%
77 4
 
13.3%
78 1
 
3.3%
81 1
 
3.3%
82 1
 
3.3%
83 2
 
6.7%
86 1
 
3.3%
ValueCountFrequency (%)
98 1
 
3.3%
93 1
 
3.3%
92 1
 
3.3%
87 1
 
3.3%
86 1
 
3.3%
83 2
6.7%
82 1
 
3.3%
81 1
 
3.3%
78 1
 
3.3%
77 4
13.3%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.266667
Minimum0
Maximum99
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:12.011554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median73
Q384.75
95-th percentile93.65
Maximum99
Range99
Interquartile range (IQR)84.75

Descriptive statistics

Standard deviation41.477816
Coefficient of variation (CV)0.84190424
Kurtosis-1.8924934
Mean49.266667
Median Absolute Deviation (MAD)17.5
Skewness-0.34304573
Sum1478
Variance1720.4092
MonotonicityNot monotonic
2023-12-10T19:29:12.220824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 12
40.0%
75 2
 
6.7%
88 2
 
6.7%
70 1
 
3.3%
68 1
 
3.3%
87 1
 
3.3%
95 1
 
3.3%
74 1
 
3.3%
85 1
 
3.3%
78 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 12
40.0%
68 1
 
3.3%
70 1
 
3.3%
72 1
 
3.3%
74 1
 
3.3%
75 2
 
6.7%
78 1
 
3.3%
79 1
 
3.3%
80 1
 
3.3%
84 1
 
3.3%
ValueCountFrequency (%)
99 1
3.3%
95 1
3.3%
92 1
3.3%
89 1
3.3%
88 2
6.7%
87 1
3.3%
85 1
3.3%
84 1
3.3%
80 1
3.3%
79 1
3.3%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.066667
Minimum0
Maximum93
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:12.384390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344.25
95-th percentile83.55
Maximum93
Range93
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation35.86174
Coefficient of variation (CV)1.7022978
Kurtosis-0.58825271
Mean21.066667
Median Absolute Deviation (MAD)0
Skewness1.1721298
Sum632
Variance1286.0644
MonotonicityNot monotonic
2023-12-10T19:29:12.541308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
73.3%
75 2
 
6.7%
83 1
 
3.3%
82 1
 
3.3%
81 1
 
3.3%
59 1
 
3.3%
84 1
 
3.3%
93 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
59 1
 
3.3%
75 2
 
6.7%
81 1
 
3.3%
82 1
 
3.3%
83 1
 
3.3%
84 1
 
3.3%
93 1
 
3.3%
ValueCountFrequency (%)
93 1
 
3.3%
84 1
 
3.3%
83 1
 
3.3%
82 1
 
3.3%
81 1
 
3.3%
75 2
 
6.7%
59 1
 
3.3%
0 22
73.3%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.666667
Minimum0
Maximum98
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:12.716368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q367.25
95-th percentile86.75
Maximum98
Range98
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation37.558537
Coefficient of variation (CV)1.3575375
Kurtosis-1.4688345
Mean27.666667
Median Absolute Deviation (MAD)0
Skewness0.68729388
Sum830
Variance1410.6437
MonotonicityNot monotonic
2023-12-10T19:29:12.909018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19
63.3%
75 2
 
6.7%
76 1
 
3.3%
74 1
 
3.3%
64 1
 
3.3%
98 1
 
3.3%
68 1
 
3.3%
89 1
 
3.3%
62 1
 
3.3%
65 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
62 1
 
3.3%
64 1
 
3.3%
65 1
 
3.3%
68 1
 
3.3%
74 1
 
3.3%
75 2
 
6.7%
76 1
 
3.3%
84 1
 
3.3%
89 1
 
3.3%
ValueCountFrequency (%)
98 1
3.3%
89 1
3.3%
84 1
3.3%
76 1
3.3%
75 2
6.7%
74 1
3.3%
68 1
3.3%
65 1
3.3%
64 1
3.3%
62 1
3.3%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.266667
Minimum0
Maximum84
Zeros25
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:13.101718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77.65
Maximum84
Range84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.223166
Coefficient of variation (CV)2.3008016
Kurtosis2.1379937
Mean12.266667
Median Absolute Deviation (MAD)0
Skewness1.9698164
Sum368
Variance796.54713
MonotonicityNot monotonic
2023-12-10T19:29:13.253076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
83.3%
54 1
 
3.3%
79 1
 
3.3%
75 1
 
3.3%
76 1
 
3.3%
84 1
 
3.3%
ValueCountFrequency (%)
0 25
83.3%
54 1
 
3.3%
75 1
 
3.3%
76 1
 
3.3%
79 1
 
3.3%
84 1
 
3.3%
ValueCountFrequency (%)
84 1
 
3.3%
79 1
 
3.3%
76 1
 
3.3%
75 1
 
3.3%
54 1
 
3.3%
0 25
83.3%

9종 차량 속도(km/hr)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T19:29:13.461862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:13.619005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum0
Maximum98
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:13.755788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376
95-th percentile83.65
Maximum98
Range98
Interquartile range (IQR)76

Descriptive statistics

Standard deviation39.569014
Coefficient of variation (CV)1.2561592
Kurtosis-1.8071444
Mean31.5
Median Absolute Deviation (MAD)0
Skewness0.48500062
Sum945
Variance1565.7069
MonotonicityNot monotonic
2023-12-10T19:29:14.278163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
60.0%
80 2
 
6.7%
76 2
 
6.7%
77 1
 
3.3%
85 1
 
3.3%
98 1
 
3.3%
63 1
 
3.3%
81 1
 
3.3%
72 1
 
3.3%
75 1
 
3.3%
ValueCountFrequency (%)
0 18
60.0%
63 1
 
3.3%
72 1
 
3.3%
75 1
 
3.3%
76 2
 
6.7%
77 1
 
3.3%
80 2
 
6.7%
81 1
 
3.3%
82 1
 
3.3%
85 1
 
3.3%
ValueCountFrequency (%)
98 1
3.3%
85 1
3.3%
82 1
3.3%
81 1
3.3%
80 2
6.7%
77 1
3.3%
76 2
6.7%
75 1
3.3%
72 1
3.3%
63 1
3.3%

11종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
88
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
88 1
 
3.3%

Length

2023-12-10T19:29:14.513380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:14.695560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
88 1
 
3.3%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.6
Minimum0
Maximum90
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:14.821820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336.75
95-th percentile80.1
Maximum90
Range90
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation33.56476
Coefficient of variation (CV)1.7124877
Kurtosis-0.45744143
Mean19.6
Median Absolute Deviation (MAD)0
Skewness1.2071737
Sum588
Variance1126.5931
MonotonicityNot monotonic
2023-12-10T19:29:14.977518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
73.3%
74 2
 
6.7%
70 1
 
3.3%
71 1
 
3.3%
49 1
 
3.3%
81 1
 
3.3%
79 1
 
3.3%
90 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
49 1
 
3.3%
70 1
 
3.3%
71 1
 
3.3%
74 2
 
6.7%
79 1
 
3.3%
81 1
 
3.3%
90 1
 
3.3%
ValueCountFrequency (%)
90 1
 
3.3%
81 1
 
3.3%
79 1
 
3.3%
74 2
 
6.7%
71 1
 
3.3%
70 1
 
3.3%
49 1
 
3.3%
0 22
73.3%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.433333
Minimum0
Maximum36
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:15.161113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q18.25
median11.5
Q318.75
95-th percentile34.65
Maximum36
Range36
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation9.3502105
Coefficient of variation (CV)0.64782059
Kurtosis0.4714916
Mean14.433333
Median Absolute Deviation (MAD)3.5
Skewness1.0370963
Sum433
Variance87.426437
MonotonicityNot monotonic
2023-12-10T19:29:15.535056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
8 4
13.3%
11 3
 
10.0%
12 3
 
10.0%
9 2
 
6.7%
5 2
 
6.7%
14 2
 
6.7%
10 2
 
6.7%
36 2
 
6.7%
22 1
 
3.3%
21 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 1
 
3.3%
3 1
 
3.3%
5 2
6.7%
8 4
13.3%
9 2
6.7%
10 2
6.7%
11 3
10.0%
12 3
10.0%
14 2
6.7%
15 1
 
3.3%
ValueCountFrequency (%)
36 2
6.7%
33 1
3.3%
27 1
3.3%
26 1
3.3%
22 1
3.3%
21 1
3.3%
19 1
3.3%
18 1
3.3%
15 1
3.3%
14 2
6.7%

2종 차량수(대)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
1
5 
3
 
1
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
3 1
 
3.3%
6 1
 
3.3%

Length

2023-12-10T19:29:15.758880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:16.093055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
3 1
 
3.3%
6 1
 
3.3%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0333333
Minimum0
Maximum7
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:16.264194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.75
95-th percentile5.55
Maximum7
Range7
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.1732438
Coefficient of variation (CV)1.0688084
Kurtosis-0.77506376
Mean2.0333333
Median Absolute Deviation (MAD)1
Skewness0.66699184
Sum61
Variance4.7229885
MonotonicityNot monotonic
2023-12-10T19:29:16.428460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
40.0%
3 5
16.7%
1 4
 
13.3%
4 3
 
10.0%
5 3
 
10.0%
7 1
 
3.3%
6 1
 
3.3%
2 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 4
 
13.3%
2 1
 
3.3%
3 5
16.7%
4 3
 
10.0%
5 3
 
10.0%
6 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
7 1
 
3.3%
6 1
 
3.3%
5 3
 
10.0%
4 3
 
10.0%
3 5
16.7%
2 1
 
3.3%
1 4
 
13.3%
0 12
40.0%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3333333
Minimum0
Maximum14
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:16.627558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.55
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.241257
Coefficient of variation (CV)1.3891102
Kurtosis4.7655781
Mean2.3333333
Median Absolute Deviation (MAD)1
Skewness2.0096383
Sum70
Variance10.505747
MonotonicityNot monotonic
2023-12-10T19:29:16.816776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
43.3%
3 7
23.3%
1 3
 
10.0%
7 2
 
6.7%
2 2
 
6.7%
8 1
 
3.3%
6 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 3
 
10.0%
2 2
 
6.7%
3 7
23.3%
6 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
6 1
 
3.3%
3 7
23.3%
2 2
 
6.7%
1 3
 
10.0%
0 13
43.3%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6333333
Minimum0
Maximum19
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:17.002319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.75
95-th percentile14.3
Maximum19
Range19
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation4.7596242
Coefficient of variation (CV)1.8074522
Kurtosis6.5747994
Mean2.6333333
Median Absolute Deviation (MAD)1
Skewness2.6394603
Sum79
Variance22.654023
MonotonicityNot monotonic
2023-12-10T19:29:17.205139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
2 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
11 1
 
3.3%
19 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
2 3
 
10.0%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
11 1
 
3.3%
17 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
17 1
 
3.3%
11 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 2
 
6.7%
2 3
 
10.0%
1 7
23.3%
0 12
40.0%

6종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
2
4 
1
 
2
5
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 2
 
6.7%
5 1
 
3.3%
3 1
 
3.3%

Length

2023-12-10T19:29:17.442748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:17.638777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 2
 
6.7%
5 1
 
3.3%
3 1
 
3.3%

7종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
7 
2
2 
8
 
1
27
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
8 1
 
3.3%
27 1
 
3.3%

Length

2023-12-10T19:29:17.855187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:18.046438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
8 1
 
3.3%
27 1
 
3.3%

8종 차량수(대)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
3 
3
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 1
 
3.3%
4 1
 
3.3%

Length

2023-12-10T19:29:18.227738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:18.396280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 1
 
3.3%
4 1
 
3.3%

9종 차량수(대)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T19:29:18.588720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:18.756239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
18 
1
4 
2
4 
3
3 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row3
2nd row0
3rd row1
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 18
60.0%
1 4
 
13.3%
2 4
 
13.3%
3 3
 
10.0%
4 1
 
3.3%

Length

2023-12-10T19:29:18.948722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:19.148895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
60.0%
1 4
 
13.3%
2 4
 
13.3%
3 3
 
10.0%
4 1
 
3.3%

11종 차량수(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

Length

2023-12-10T19:29:19.352763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:19.589629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

12종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
4 
2
 
2
5
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
5 1
 
3.3%
4 1
 
3.3%

Length

2023-12-10T19:29:19.741889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:19.964932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
5 1
 
3.3%
4 1
 
3.3%

위도(°)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.477315
Minimum35.020278
Maximum35.835556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:20.125251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.020278
5-th percentile35.020278
Q135.297153
median35.560556
Q335.737847
95-th percentile35.835556
Maximum35.835556
Range0.81527778
Interquartile range (IQR)0.44069444

Descriptive statistics

Standard deviation0.2712643
Coefficient of variation (CV)0.0076461339
Kurtosis-1.1229243
Mean35.477315
Median Absolute Deviation (MAD)0.25361112
Skewness-0.24425968
Sum1064.3194
Variance0.07358432
MonotonicityNot monotonic
2023-12-10T19:29:20.344454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
35.30694444 6
20.0%
35.29388889 4
13.3%
35.83555556 4
13.3%
35.77111111 4
13.3%
35.02027778 4
13.3%
35.56055556 4
13.3%
35.63805556 4
13.3%
ValueCountFrequency (%)
35.02027778 4
13.3%
35.29388889 4
13.3%
35.30694444 6
20.0%
35.56055556 4
13.3%
35.63805556 4
13.3%
35.77111111 4
13.3%
35.83555556 4
13.3%
ValueCountFrequency (%)
35.83555556 4
13.3%
35.77111111 4
13.3%
35.63805556 4
13.3%
35.56055556 4
13.3%
35.30694444 6
20.0%
35.29388889 4
13.3%
35.02027778 4
13.3%

경도(°)
Real number (ℝ)

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.02765
Minimum127.85972
Maximum130.08667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:20.539500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.85972
5-th percentile127.85972
Q1128.58535
median129.07472
Q3129.43076
95-th percentile130.08667
Maximum130.08667
Range2.2269445
Interquartile range (IQR)0.84541673

Descriptive statistics

Standard deviation0.65275509
Coefficient of variation (CV)0.0050590327
Kurtosis-0.26246638
Mean129.02765
Median Absolute Deviation (MAD)0.4383334
Skewness-0.25777845
Sum3870.8294
Variance0.4260892
MonotonicityNot monotonic
2023-12-10T19:29:20.723813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
129.0747222 6
20.0%
129.0072222 4
13.3%
129.5130556 4
13.3%
130.0866667 4
13.3%
127.8597222 4
13.3%
129.1838889 4
13.3%
128.4447222 4
13.3%
ValueCountFrequency (%)
127.8597222 4
13.3%
128.4447222 4
13.3%
129.0072222 4
13.3%
129.0747222 6
20.0%
129.1838889 4
13.3%
129.5130556 4
13.3%
130.0866667 4
13.3%
ValueCountFrequency (%)
130.0866667 4
13.3%
129.5130556 4
13.3%
129.1838889 4
13.3%
129.0747222 6
20.0%
129.0072222 4
13.3%
128.4447222 4
13.3%
127.8597222 4
13.3%

기울기(°)
Real number (ℝ)

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.057
Minimum-3.15
Maximum3.07
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)46.7%
Memory size402.0 B
2023-12-10T19:29:20.930049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.15
5-th percentile-3.15
Q1-1.26
median0.3
Q30.99
95-th percentile3.07
Maximum3.07
Range6.22
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.7439494
Coefficient of variation (CV)-30.595604
Kurtosis-0.51971967
Mean-0.057
Median Absolute Deviation (MAD)1.3
Skewness-0.0021409345
Sum-1.71
Variance3.0413597
MonotonicityNot monotonic
2023-12-10T19:29:21.129974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.3 3
10.0%
3.07 3
10.0%
-3.15 3
10.0%
-1.07 2
 
6.7%
1.09 2
 
6.7%
0.99 2
 
6.7%
-1.54 2
 
6.7%
0.84 2
 
6.7%
-1.26 2
 
6.7%
1.6 2
 
6.7%
Other values (4) 7
23.3%
ValueCountFrequency (%)
-3.15 3
10.0%
-1.6 2
6.7%
-1.54 2
6.7%
-1.26 2
6.7%
-1.07 2
6.7%
-1.0 2
6.7%
-0.31 1
 
3.3%
0.3 3
10.0%
0.84 2
6.7%
0.92 2
6.7%
ValueCountFrequency (%)
3.07 3
10.0%
1.6 2
6.7%
1.09 2
6.7%
0.99 2
6.7%
0.92 2
6.7%
0.84 2
6.7%
0.3 3
10.0%
-0.31 1
 
3.3%
-1.0 2
6.7%
-1.07 2
6.7%

주소
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경남 양산시 동면
6 
경남 양산시 물금읍
4 
경남 김해시 진영읍 설창리
4 
경남 김해시 대동면 대감리
4 
경남 하동군 고전면
4 
Other values (2)
8 

Length

Max length14
Median length14
Mean length11.933333
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 김해시 진영읍 설창리

Common Values

ValueCountFrequency (%)
경남 양산시 동면 6
20.0%
경남 양산시 물금읍 4
13.3%
경남 김해시 진영읍 설창리 4
13.3%
경남 김해시 대동면 대감리 4
13.3%
경남 하동군 고전면 4
13.3%
울산 울주군 언양읍 반곡리 4
13.3%
대구 달성군 구지면 예천리 4
13.3%

Length

2023-12-10T19:29:21.360529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:21.550900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 22
20.8%
양산시 10
 
9.4%
김해시 8
 
7.5%
동면 6
 
5.7%
울산 4
 
3.8%
구지면 4
 
3.8%
달성군 4
 
3.8%
대구 4
 
3.8%
반곡리 4
 
3.8%
언양읍 4
 
3.8%
Other values (9) 36
34.0%

Sample

도로종류측정일지점방향차선측정구간장비이정(km)1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)위도(°)경도(°)기울기(°)주소
0도로공사20200401A-5510-0116E-6S3물금IC-대동JC11.6960086708305407700110034101030035.293889129.007222-0.31경남 양산시 물금읍
1도로공사20200401A-5510-0116E-6E1대동JC-물금IC11.611100000000000210000000000035.293889129.0072220.3경남 양산시 물금읍
2도로공사20200401A-5510-0116E-6E2대동JC-물금IC11.6959408389076008500361081010010035.293889129.0072220.3경남 양산시 물금읍
3도로공사20200401A-5510-0116E-6E3대동JC-물금IC11.6810857875074008000220375010040035.293889129.0072220.3경남 양산시 물금읍
4도로공사20200401A-6000-0062E-4S1한림IC-진영IC6.23940000000000080000000000035.835556129.513056-1.07경남 김해시 진영읍 설창리
5도로공사20200401A-6000-0062E-4S2한림IC-진영IC6.2390828577808264007600101413210010035.835556129.513056-1.07경남 김해시 진영읍 설창리
6도로공사20200401A-6000-0062E-4E1진영IC-한림IC6.231110124000980000090100010000035.835556129.5130561.09경남 김해시 진영읍 설창리
7도로공사20200401A-6000-0062E-4E2진영IC-한림IC6.23970877688068000070120721020000535.835556129.5130561.09경남 김해시 진영읍 설창리
8도로공사20200401A-6000-0265E-4S1김해가야Hi-대감JC26.691000000000000080000000000035.771111130.0866670.99경남 김해시 대동면 대감리
9도로공사20200401A-6000-0265E-4S2김해가야Hi-대감JC26.6910706777880000007150132000000135.771111130.0866670.99경남 김해시 대동면 대감리
도로종류측정일지점방향차선측정구간장비이정(km)1종 차량 속도(km/hr)2종 차량 속도(km/hr)3종 차량 속도(km/hr)4종 차량 속도(km/hr)5종 차량 속도(km/hr)6종 차량 속도(km/hr)7종 차량 속도(km/hr)8종 차량 속도(km/hr)9종 차량 속도(km/hr)10종 차량 속도(km/hr)11종 차량 속도(km/hr)12종 차량 속도(km/hr)1종 차량수(대)2종 차량수(대)3종 차량수(대)4종 차량수(대)5종 차량수(대)6종 차량수(대)7종 차량수(대)8종 차량수(대)9종 차량수(대)10종 차량수(대)11종 차량수(대)12종 차량수(대)위도(°)경도(°)기울기(°)주소
20도로공사20200401A-0100-0407S-4E1하동IC-진교IC40.7108009300000000110020000000035.020278127.859722-1.26경남 하동군 고전면
21도로공사20200401A-0100-0407S-4E2하동IC-진교IC40.71050916775075000081804311010000135.020278127.859722-1.26경남 하동군 고전면
22도로공사20200401A-0160-0058E-4S1울산JCT-언양JC5.8105010292000008100100510000020035.560556129.1838891.6울산 울주군 언양읍 반곡리
23도로공사20200401A-0160-0058E-4S2울산JCT-언양JC5.88609770687565007207430462220030235.560556129.1838891.6울산 울주군 언양읍 반곡리
24도로공사20200401A-0160-0058E-4E1언양JC-울산JCT5.81150126000000000260100000000035.560556129.183889-1.6울산 울주군 언양읍 반곡리
25도로공사20200401A-0160-0058E-4E2언양JC-울산JCT5.8890858378840760758879180534204011235.560556129.183889-1.6울산 울주군 언양읍 반곡리
26도로공사20200401A-0450-0480S-4S1현풍JC-창녕IC48.010987008500008200191001000030035.638056128.4447220.92대구 달성군 구지면 예천리
27도로공사20200401A-0450-0480S-4S2현풍JC-창녕IC48.01067391777475750076074565719580020135.638056128.4447220.92대구 달성군 구지면 예천리
28도로공사20200401A-0450-0480S-4E1창녕IC-현풍JC48.01178610709500840000121301001000035.638056128.444722-1.0대구 달성군 구지면 예천리
29도로공사20200401A-0450-0480S-4E2창녕IC-현풍JC48.00008787938400009000014173270000435.638056128.444722-1.0대구 달성군 구지면 예천리