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

Categorical26
Numeric9

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
9종 차량 속도(km/hr) has constant value ""Constant
11종 차량 속도(km/hr) has constant value ""Constant
12종 차량 속도(km/hr) has constant value ""Constant
9종 차량수(대) has constant value ""Constant
11종 차량수(대) has constant value ""Constant
12종 차량수(대) has constant value ""Constant
2종 차량 속도(km/hr) is highly imbalanced (73.5%)Imbalance
6종 차량 속도(km/hr) is highly imbalanced (64.1%)Imbalance
7종 차량 속도(km/hr) is highly imbalanced (78.9%)Imbalance
8종 차량 속도(km/hr) is highly imbalanced (78.9%)Imbalance
10종 차량 속도(km/hr) is highly imbalanced (78.9%)Imbalance
2종 차량수(대) is highly imbalanced (64.7%)Imbalance
6종 차량수(대) is highly imbalanced (55.8%)Imbalance
7종 차량수(대) is highly imbalanced (78.9%)Imbalance
8종 차량수(대) is highly imbalanced (78.9%)Imbalance
10종 차량수(대) is highly imbalanced (78.9%)Imbalance
1종 차량 속도(km/hr) has 1 (3.3%) zerosZeros
3종 차량 속도(km/hr) has 19 (63.3%) zerosZeros
4종 차량 속도(km/hr) has 23 (76.7%) zerosZeros
5종 차량 속도(km/hr) has 19 (63.3%) zerosZeros
1종 차량수(대) has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 10:29:23.381798
Analysis finished2023-12-10 10:29:24.222572
Duration0.84 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

2023-12-10T19:29:24.407121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:24.614805image/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
20200301
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200301
2nd row20200301
3rd row20200301
4th row20200301
5th row20200301

Common Values

ValueCountFrequency (%)
20200301 30
100.0%

Length

2023-12-10T19:29:24.794923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:24.938554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200301 30
100.0%

지점
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
A-0010-1441E-8
8 
A-0010-0728S-6
6 
A-0550-1107S-4
4 
A-0120-0957E-4
4 
A-0120-1129E-4
4 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0550-1107S-4
2nd rowA-0550-1107S-4
3rd rowA-0550-1107S-4
4th rowA-0550-1107S-4
5th rowA-0120-0957E-4

Common Values

ValueCountFrequency (%)
A-0010-1441E-8 8
26.7%
A-0010-0728S-6 6
20.0%
A-0550-1107S-4 4
13.3%
A-0120-0957E-4 4
13.3%
A-0120-1129E-4 4
13.3%
A-0120-1332E-4 4
13.3%

Length

2023-12-10T19:29:25.110867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:25.289115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a-0010-1441e-8 8
26.7%
a-0010-0728s-6 6
20.0%
a-0550-1107s-4 4
13.3%
a-0120-0957e-4 4
13.3%
a-0120-1129e-4 4
13.3%
a-0120-1332e-4 4
13.3%

방향
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
S
15 
E
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
S 15
50.0%
E 15
50.0%

Length

2023-12-10T19:29:25.485400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:25.660540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 15
50.0%
e 15
50.0%

차선
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
12 
2
12 
3
4 
4
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 12
40.0%
2 12
40.0%
3 4
 
13.3%
4 2
 
6.7%

Length

2023-12-10T19:29:25.815998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:25.979088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 12
40.0%
2 12
40.0%
3 4
 
13.3%
4 2
 
6.7%

측정구간
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
칠곡물류IC-금호JC
4 
금호JC-칠곡물류IC
4 
건천IC-경주IC
3 
경주IC-건천IC
3 
칠곡IC-금호JC
2 
Other values (7)
14 

Length

Max length11
Median length9
Mean length9.6666667
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row칠곡IC-금호JC
2nd row칠곡IC-금호JC
3rd row금호JC-칠곡IC
4th row금호JC-칠곡IC
5th row함양JC-함양IC

Common Values

ValueCountFrequency (%)
칠곡물류IC-금호JC 4
13.3%
금호JC-칠곡물류IC 4
13.3%
건천IC-경주IC 3
10.0%
경주IC-건천IC 3
10.0%
칠곡IC-금호JC 2
6.7%
금호JC-칠곡IC 2
6.7%
함양JC-함양IC 2
6.7%
함양IC-함양JC 2
6.7%
거창IC-함양JC 2
6.7%
함양JC-거창IC 2
6.7%
Other values (2) 4
13.3%

Length

2023-12-10T19:29:26.213046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
칠곡물류ic-금호jc 4
13.3%
금호jc-칠곡물류ic 4
13.3%
건천ic-경주ic 3
10.0%
경주ic-건천ic 3
10.0%
칠곡ic-금호jc 2
6.7%
금호jc-칠곡ic 2
6.7%
함양jc-함양ic 2
6.7%
함양ic-함양jc 2
6.7%
거창ic-함양jc 2
6.7%
함양jc-거창ic 2
6.7%
Other values (2) 4
13.3%

장비이정(km)
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.33733
Minimum72.8
Maximum144.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:26.409889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.8
5-th percentile72.8
Q195.71
median112.98
Q3141.3875
95-th percentile144.11
Maximum144.11
Range71.31
Interquartile range (IQR)45.6775

Descriptive statistics

Standard deviation26.449571
Coefficient of variation (CV)0.23337033
Kurtosis-1.2235452
Mean113.33733
Median Absolute Deviation (MAD)20.24
Skewness-0.31368543
Sum3400.12
Variance699.57981
MonotonicityNot monotonic
2023-12-10T19:29:26.633126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
144.11 8
26.7%
72.8 6
20.0%
110.7 4
13.3%
95.71 4
13.3%
112.98 4
13.3%
133.22 4
13.3%
ValueCountFrequency (%)
72.8 6
20.0%
95.71 4
13.3%
110.7 4
13.3%
112.98 4
13.3%
133.22 4
13.3%
144.11 8
26.7%
ValueCountFrequency (%)
144.11 8
26.7%
133.22 4
13.3%
112.98 4
13.3%
110.7 4
13.3%
95.71 4
13.3%
72.8 6
20.0%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.90367
Minimum0
Maximum135.33
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:26.890424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.475
Q198.6775
median108
Q3120.5
95-th percentile132.775
Maximum135.33
Range135.33
Interquartile range (IQR)21.8225

Descriptive statistics

Standard deviation24.707403
Coefficient of variation (CV)0.23330073
Kurtosis11.427424
Mean105.90367
Median Absolute Deviation (MAD)11.375
Skewness-2.7596656
Sum3177.11
Variance610.45574
MonotonicityNot monotonic
2023-12-10T19:29:27.141006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
108.0 3
 
10.0%
107.0 2
 
6.7%
99.0 2
 
6.7%
122.0 1
 
3.3%
121.0 1
 
3.3%
95.66 1
 
3.3%
131.04 1
 
3.3%
128.75 1
 
3.3%
73.5 1
 
3.3%
89.0 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 1
3.3%
73.5 1
3.3%
89.0 1
3.3%
93.12 1
3.3%
95.66 1
3.3%
96.0 1
3.3%
96.25 1
3.3%
98.57 1
3.3%
99.0 2
6.7%
100.0 1
3.3%
ValueCountFrequency (%)
135.33 1
3.3%
133.0 1
3.3%
132.5 1
3.3%
131.04 1
3.3%
128.75 1
3.3%
122.0 1
3.3%
121.4 1
3.3%
121.0 1
3.3%
119.0 1
3.3%
112.16 1
3.3%

2종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
105
 
1
107
 
1

Length

Max length3
Median length1
Mean length1.1333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
105 1
 
3.3%
107 1
 
3.3%

Length

2023-12-10T19:29:27.375669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:27.608712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
105 1
 
3.3%
107 1
 
3.3%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.293333
Minimum0
Maximum114
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:27.762864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q390.5
95-th percentile107.55
Maximum114
Range114
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation47.633246
Coefficient of variation (CV)1.3496386
Kurtosis-1.6127007
Mean35.293333
Median Absolute Deviation (MAD)0
Skewness0.64421954
Sum1058.8
Variance2268.9262
MonotonicityNot monotonic
2023-12-10T19:29:27.955258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 19
63.3%
107.0 1
 
3.3%
108.0 1
 
3.3%
83.0 1
 
3.3%
77.0 1
 
3.3%
91.0 1
 
3.3%
97.0 1
 
3.3%
102.0 1
 
3.3%
92.0 1
 
3.3%
89.0 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0.0 19
63.3%
77.0 1
 
3.3%
83.0 1
 
3.3%
89.0 1
 
3.3%
91.0 1
 
3.3%
92.0 1
 
3.3%
97.0 1
 
3.3%
98.8 1
 
3.3%
102.0 1
 
3.3%
107.0 1
 
3.3%
ValueCountFrequency (%)
114.0 1
3.3%
108.0 1
3.3%
107.0 1
3.3%
102.0 1
3.3%
98.8 1
3.3%
97.0 1
3.3%
92.0 1
3.3%
91.0 1
3.3%
89.0 1
3.3%
83.0 1
3.3%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.933333
Minimum0
Maximum88
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:28.143135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile85.2
Maximum88
Range88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.546605
Coefficient of variation (CV)1.8706285
Kurtosis0.12144688
Mean17.933333
Median Absolute Deviation (MAD)0
Skewness1.4190805
Sum538
Variance1125.3747
MonotonicityNot monotonic
2023-12-10T19:29:28.311243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 23
76.7%
76 2
 
6.7%
51 1
 
3.3%
88 1
 
3.3%
87 1
 
3.3%
83 1
 
3.3%
77 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
51 1
 
3.3%
76 2
 
6.7%
77 1
 
3.3%
83 1
 
3.3%
87 1
 
3.3%
88 1
 
3.3%
ValueCountFrequency (%)
88 1
 
3.3%
87 1
 
3.3%
83 1
 
3.3%
77 1
 
3.3%
76 2
 
6.7%
51 1
 
3.3%
0 23
76.7%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.458
Minimum0
Maximum103
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:28.479032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376.5
95-th percentile90.925
Maximum103
Range103
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation40.170831
Coefficient of variation (CV)1.3636646
Kurtosis-1.4720248
Mean29.458
Median Absolute Deviation (MAD)0
Skewness0.69944875
Sum883.74
Variance1613.6957
MonotonicityNot monotonic
2023-12-10T19:29:28.992790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 19
63.3%
89.0 1
 
3.3%
79.33 1
 
3.3%
92.5 1
 
3.3%
49.5 1
 
3.3%
103.0 1
 
3.3%
73.0 1
 
3.3%
81.0 1
 
3.3%
75.0 1
 
3.3%
86.75 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0.0 19
63.3%
49.5 1
 
3.3%
73.0 1
 
3.3%
75.0 1
 
3.3%
77.0 1
 
3.3%
77.66 1
 
3.3%
79.33 1
 
3.3%
81.0 1
 
3.3%
86.75 1
 
3.3%
89.0 1
 
3.3%
ValueCountFrequency (%)
103.0 1
3.3%
92.5 1
3.3%
89.0 1
3.3%
86.75 1
3.3%
81.0 1
3.3%
79.33 1
3.3%
77.66 1
3.3%
77.0 1
3.3%
75.0 1
3.3%
73.0 1
3.3%

6종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0.0
26 
84.0
 
1
75.0
 
1
91.0
 
1
71.5
 
1

Length

Max length4
Median length3
Mean length3.1333333
Min length3

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26
86.7%
84.0 1
 
3.3%
75.0 1
 
3.3%
91.0 1
 
3.3%
71.5 1
 
3.3%

Length

2023-12-10T19:29:29.237835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:29.434397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26
86.7%
84.0 1
 
3.3%
75.0 1
 
3.3%
91.0 1
 
3.3%
71.5 1
 
3.3%

7종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
86
 
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%
86 1
 
3.3%

Length

2023-12-10T19:29:29.645287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:29.823023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
86 1
 
3.3%

8종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
72
 
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%
72 1
 
3.3%

Length

2023-12-10T19:29:30.015428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:30.190656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
72 1
 
3.3%

9종 차량 속도(km/hr)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T19:29:30.377746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:30.602607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량 속도(km/hr)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
80
 
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%
80 1
 
3.3%

Length

2023-12-10T19:29:30.889096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:31.072941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
80 1
 
3.3%

11종 차량 속도(km/hr)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T19:29:31.265694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:31.500653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 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

2023-12-10T19:29:31.784432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:31.994298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.4
Minimum0
Maximum39
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:32.125744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13.25
median7
Q316.75
95-th percentile27.3
Maximum39
Range39
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation9.6903792
Coefficient of variation (CV)0.93176723
Kurtosis1.293051
Mean10.4
Median Absolute Deviation (MAD)4.5
Skewness1.3281686
Sum312
Variance93.903448
MonotonicityNot monotonic
2023-12-10T19:29:32.345292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 5
16.7%
7 3
 
10.0%
4 3
 
10.0%
5 2
 
6.7%
3 2
 
6.7%
24 2
 
6.7%
30 1
 
3.3%
16 1
 
3.3%
20 1
 
3.3%
39 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 1
 
3.3%
2 5
16.7%
3 2
 
6.7%
4 3
10.0%
5 2
 
6.7%
6 1
 
3.3%
7 3
10.0%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
39 1
3.3%
30 1
3.3%
24 2
6.7%
21 1
3.3%
20 1
3.3%
18 1
3.3%
17 1
3.3%
16 1
3.3%
11 1
3.3%
10 1
3.3%

2종 차량수(대)
Categorical

IMBALANCE 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

Length

2023-12-10T19:29:32.561041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:32.735353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

3종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
7 
2
2 
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%

Length

2023-12-10T19:29:32.908670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:33.099252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
3 1
 
3.3%
5 1
 
3.3%

4종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
1
4 
5
 
1
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
1 4
 
13.3%
5 1
 
3.3%
2 1
 
3.3%
4 1
 
3.3%

Length

2023-12-10T19:29:33.278295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:33.504285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 4
 
13.3%
5 1
 
3.3%
2 1
 
3.3%
4 1
 
3.3%

5종 차량수(대)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
4 
3
3 
2
3 
4
 
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 19
63.3%
1 4
 
13.3%
3 3
 
10.0%
2 3
 
10.0%
4 1
 
3.3%

Length

2023-12-10T19:29:33.713497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:34.012067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 4
 
13.3%
3 3
 
10.0%
2 3
 
10.0%
4 1
 
3.3%

6종 차량수(대)
Categorical

IMBALANCE 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 26
86.7%
1 2
 
6.7%
2 2
 
6.7%

Length

2023-12-10T19:29:34.294352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:34.453897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 2
 
6.7%
2 2
 
6.7%

7종 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

2023-12-10T19:29:34.613221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:34.785369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

8종 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

2023-12-10T19:29:34.935688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:35.107575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 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

2023-12-10T19:29:35.304636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:35.501842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량수(대)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
2 1
 
3.3%

Length

2023-12-10T19:29:35.680266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:35.820026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
2 1
 
3.3%

11종 차량수(대)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T19:29:35.980646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:36.130094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 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

2023-12-10T19:29:36.307617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:36.505680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

위도(°)
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.912524
Minimum35.532156
Maximum36.928333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:36.627282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.532156
5-th percentile35.532156
Q135.642632
median35.818274
Q335.913806
95-th percentile36.928333
Maximum36.928333
Range1.3961773
Interquartile range (IQR)0.27117425

Descriptive statistics

Standard deviation0.4261974
Coefficient of variation (CV)0.011867654
Kurtosis2.2927325
Mean35.912524
Median Absolute Deviation (MAD)0.110906
Skewness1.8297132
Sum1077.3757
Variance0.18164422
MonotonicityNot monotonic
2023-12-10T19:29:36.790128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
35.913806 8
26.7%
35.818274 6
20.0%
36.92833333 4
13.3%
35.532156 4
13.3%
35.621053 4
13.3%
35.707368 4
13.3%
ValueCountFrequency (%)
35.532156 4
13.3%
35.621053 4
13.3%
35.707368 4
13.3%
35.818274 6
20.0%
35.913806 8
26.7%
36.92833333 4
13.3%
ValueCountFrequency (%)
36.92833333 4
13.3%
35.913806 8
26.7%
35.818274 6
20.0%
35.707368 4
13.3%
35.621053 4
13.3%
35.532156 4
13.3%

경도(°)
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.38821
Minimum127.75714
Maximum129.1401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:36.977477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.75714
5-th percentile127.75714
Q1127.9288
median128.48863
Q3128.53222
95-th percentile129.1401
Maximum129.1401
Range1.382951
Interquartile range (IQR)0.60342345

Descriptive statistics

Standard deviation0.47752565
Coefficient of variation (CV)0.0037193886
Kurtosis-1.0071493
Mean128.38821
Median Absolute Deviation (MAD)0.444004
Skewness0.30835468
Sum3851.6463
Variance0.22803075
MonotonicityNot monotonic
2023-12-10T19:29:37.241437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
128.488629 8
26.7%
129.140095 6
20.0%
128.5322222 4
13.3%
127.757144 4
13.3%
127.89019 4
13.3%
128.044625 4
13.3%
ValueCountFrequency (%)
127.757144 4
13.3%
127.89019 4
13.3%
128.044625 4
13.3%
128.488629 8
26.7%
128.5322222 4
13.3%
129.140095 6
20.0%
ValueCountFrequency (%)
129.140095 6
20.0%
128.5322222 4
13.3%
128.488629 8
26.7%
128.044625 4
13.3%
127.89019 4
13.3%
127.757144 4
13.3%

기울기(°)
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0063333333
Minimum-3.43
Maximum3.43
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)50.0%
Memory size402.0 B
2023-12-10T19:29:37.459750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile-2.9395
Q1-0.55
median0
Q30.55
95-th percentile2.971
Maximum3.43
Range6.86
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.7305759
Coefficient of variation (CV)-273.24883
Kurtosis0.079582383
Mean-0.0063333333
Median Absolute Deviation (MAD)0.55
Skewness-0.0061939362
Sum-0.19
Variance2.994893
MonotonicityNot monotonic
2023-12-10T19:29:37.630820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-0.49 4
13.3%
0.55 4
13.3%
-0.55 3
10.0%
0.54 3
10.0%
-2.34 2
6.7%
2.41 2
6.7%
-0.43 2
6.7%
0.43 2
6.7%
1.63 2
6.7%
-1.9 2
6.7%
Other values (2) 4
13.3%
ValueCountFrequency (%)
-3.43 2
6.7%
-2.34 2
6.7%
-1.9 2
6.7%
-0.55 3
10.0%
-0.49 4
13.3%
-0.43 2
6.7%
0.43 2
6.7%
0.54 3
10.0%
0.55 4
13.3%
1.63 2
6.7%
ValueCountFrequency (%)
3.43 2
6.7%
2.41 2
6.7%
1.63 2
6.7%
0.55 4
13.3%
0.54 3
10.0%
0.43 2
6.7%
-0.43 2
6.7%
-0.49 4
13.3%
-0.55 3
10.0%
-1.9 2
6.7%

주소
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
경북 칠곡군 지천면
8 
경북 경주시 건천읍 모량리
6 
대구 북구 금호동
4 
경남 함양군 함양읍 신관리
4 
경남 거창군 남상면 오계리
4 

Length

Max length14
Median length10
Mean length11.733333
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구 북구 금호동
2nd row대구 북구 금호동
3rd row대구 북구 금호동
4th row대구 북구 금호동
5th row경남 함양군 함양읍 신관리

Common Values

ValueCountFrequency (%)
경북 칠곡군 지천면 8
26.7%
경북 경주시 건천읍 모량리 6
20.0%
대구 북구 금호동 4
13.3%
경남 함양군 함양읍 신관리 4
13.3%
경남 거창군 남상면 오계리 4
13.3%
경남 거창군 가조면 4
13.3%

Length

2023-12-10T19:29:37.865202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:38.088647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경북 14
13.5%
경남 12
11.5%
지천면 8
 
7.7%
칠곡군 8
 
7.7%
거창군 8
 
7.7%
경주시 6
 
5.8%
건천읍 6
 
5.8%
모량리 6
 
5.8%
신관리 4
 
3.8%
오계리 4
 
3.8%
Other values (7) 28
26.9%

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
0도로공사20200301A-0550-1107S-4S1칠곡IC-금호JC110.7122.00107.000.00.0000000110300000000036.928333128.532222-2.34대구 북구 금호동
1도로공사20200301A-0550-1107S-4S2칠곡IC-금호JC110.7100.00108.000.00.0000000240100000000036.928333128.532222-2.34대구 북구 금호동
2도로공사20200301A-0550-1107S-4E1금호JC-칠곡IC110.7119.000.000.00.000000070000000000036.928333128.5322222.41대구 북구 금호동
3도로공사20200301A-0550-1107S-4E2금호JC-칠곡IC110.796.000.000.00.0000000210000000000036.928333128.5322222.41대구 북구 금호동
4도로공사20200301A-0120-0957E-4S1함양JC-함양IC95.71111.500.000.00.000000020000000000035.532156127.757144-0.43경남 함양군 함양읍 신관리
5도로공사20200301A-0120-0957E-4S2함양JC-함양IC95.7196.25083.0089.00.000000040101000000035.532156127.757144-0.43경남 함양군 함양읍 신관리
6도로공사20200301A-0120-0957E-4E1함양IC-함양JC95.71132.500.000.00.000000020000000000035.532156127.7571440.43경남 함양군 함양읍 신관리
7도로공사20200301A-0120-0957E-4E2함양IC-함양JC95.71107.0077.0079.330.000000090103000000035.532156127.7571440.43경남 함양군 함양읍 신관리
8도로공사20200301A-0120-1129E-4S1거창IC-함양JC112.980.000.000.00.000000000000000000035.621053127.890191.63경남 거창군 남상면 오계리
9도로공사20200301A-0120-1129E-4S2거창IC-함양JC112.98135.3300.000.00.000000030000000000035.621053127.890191.63경남 거창군 남상면 오계리
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
20도로공사20200301A-0010-0728S-6E2경주IC-건천IC72.8111.0105102.0081.00.0000000171201000000035.818274129.1400950.54경북 경주시 건천읍 모량리
21도로공사20200301A-0010-0728S-6E3경주IC-건천IC72.899.010792.07675.075.0860000041113110000035.818274129.1400950.54경북 경주시 건천읍 모량리
22도로공사20200301A-0010-1441E-8S1칠곡물류IC-금호JC144.11112.1600.000.00.0000000180000000000035.913806128.488629-0.49경북 칠곡군 지천면
23도로공사20200301A-0010-1441E-8S2칠곡물류IC-금호JC144.1189.0089.000.00.0000000390100000000035.913806128.488629-0.49경북 칠곡군 지천면
24도로공사20200301A-0010-1441E-8S3칠곡물류IC-금호JC144.1199.0098.88786.7591.0000000200514200000035.913806128.488629-0.49경북 칠곡군 지천면
25도로공사20200301A-0010-1441E-8S4칠곡물류IC-금호JC144.1173.500.07677.071.500000020052200000035.913806128.488629-0.49경북 칠곡군 지천면
26도로공사20200301A-0010-1441E-8E1금호JC-칠곡물류IC144.11128.7500.000.00.000000040000000000035.913806128.4886290.55경북 칠곡군 지천면
27도로공사20200301A-0010-1441E-8E2금호JC-칠곡물류IC144.11131.0400.000.00.0000000240000000000035.913806128.4886290.55경북 칠곡군 지천면
28도로공사20200301A-0010-1441E-8E3금호JC-칠곡물류IC144.11108.00114.0830.00.0000000160220000000035.913806128.4886290.55경북 칠곡군 지천면
29도로공사20200301A-0010-1441E-8E4금호JC-칠곡물류IC144.1195.6600.07777.660.000000030043000000035.913806128.4886290.55경북 칠곡군 지천면