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

Categorical15
Numeric20

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
9종 차량수(대) has constant value ""Constant
11종 차량수(대) has constant value ""Constant
8종 차량수(대) is highly imbalanced (51.4%)Imbalance
1종 차량 속도(km/hr) has 1 (3.3%) zerosZeros
2종 차량 속도(km/hr) has 15 (50.0%) zerosZeros
3종 차량 속도(km/hr) has 15 (50.0%) zerosZeros
4종 차량 속도(km/hr) has 12 (40.0%) zerosZeros
5종 차량 속도(km/hr) has 16 (53.3%) zerosZeros
6종 차량 속도(km/hr) has 21 (70.0%) zerosZeros
7종 차량 속도(km/hr) has 20 (66.7%) zerosZeros
8종 차량 속도(km/hr) has 24 (80.0%) zerosZeros
10종 차량 속도(km/hr) has 23 (76.7%) zerosZeros
12종 차량 속도(km/hr) has 24 (80.0%) zerosZeros
1종 차량수(대) has 1 (3.3%) zerosZeros
3종 차량수(대) has 15 (50.0%) zerosZeros
4종 차량수(대) has 12 (40.0%) zerosZeros
5종 차량수(대) has 16 (53.3%) zerosZeros
6종 차량수(대) has 21 (70.0%) zerosZeros
7종 차량수(대) has 20 (66.7%) zerosZeros

Reproduction

Analysis started2023-12-10 10:29:39.442736
Analysis finished2023-12-10 10:29:39.882722
Duration0.44 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

2023-12-10T19:29:39.983225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:40.132597image/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
20200201
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200201
2nd row20200201
3rd row20200201
4th row20200201
5th row20200201

Common Values

ValueCountFrequency (%)
20200201 30
100.0%

Length

2023-12-10T19:29:40.282760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:40.439996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200201 30
100.0%

지점
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
A-0100-1312S-8
8 
A-0010-0538E-6
6 
A-0351-0045S-4
4 
A-0351-1078E-4
4 
A-0351-0390S-4
4 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0351-0045S-4
2nd rowA-0351-0045S-4
3rd rowA-0351-0045S-4
4th rowA-0351-0045S-4
5th rowA-0010-0538E-6

Common Values

ValueCountFrequency (%)
A-0100-1312S-8 8
26.7%
A-0010-0538E-6 6
20.0%
A-0351-0045S-4 4
13.3%
A-0351-1078E-4 4
13.3%
A-0351-0390S-4 4
13.3%
A-0351-0642S-4 4
13.3%

Length

2023-12-10T19:29:40.609375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:40.805189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a-0100-1312s-8 8
26.7%
a-0010-0538e-6 6
20.0%
a-0351-0045s-4 4
13.3%
a-0351-1078e-4 4
13.3%
a-0351-0390s-4 4
13.3%
a-0351-0642s-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

2023-12-10T19:29:41.064721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:41.211957image/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

2023-12-10T19:29:41.408036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:41.596604image/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
동창원IC-창원JC
4 
창원JC-동창원IC
4 
활천IC-언양JC
3 
언양JC-활천IC
3 
동고성IC-북통영IC
2 
Other values (7)
14 

Length

Max length11
Median length10
Mean length9.8
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동고성IC-북통영IC
2nd row동고성IC-북통영IC
3rd row북통영IC-동고성IC
4th row북통영IC-동고성IC
5th row활천IC-언양JC

Common Values

ValueCountFrequency (%)
동창원IC-창원JC 4
13.3%
창원JC-동창원IC 4
13.3%
활천IC-언양JC 3
10.0%
언양JC-활천IC 3
10.0%
동고성IC-북통영IC 2
6.7%
북통영IC-동고성IC 2
6.7%
지곡IC-함양JC 2
6.7%
함양JC-지곡IC 2
6.7%
진주JC-연화산IC 2
6.7%
연화산IC-진주JC 2
6.7%
Other values (2) 4
13.3%

Length

2023-12-10T19:29:41.793101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동창원ic-창원jc 4
13.3%
창원jc-동창원ic 4
13.3%
활천ic-언양jc 3
10.0%
언양jc-활천ic 3
10.0%
동고성ic-북통영ic 2
6.7%
북통영ic-동고성ic 2
6.7%
지곡ic-함양jc 2
6.7%
함양jc-지곡ic 2
6.7%
진주jc-연화산ic 2
6.7%
연화산ic-진주jc 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%
Mean74.4
Minimum4.5
Maximum131.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:42.024204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile4.5
Q142.6
median64.2
Q3125.35
95-th percentile131.2
Maximum131.2
Range126.7
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation44.679317
Coefficient of variation (CV)0.60052846
Kurtosis-1.301687
Mean74.4
Median Absolute Deviation (MAD)43.6
Skewness0.0048281398
Sum2232
Variance1996.2414
MonotonicityNot monotonic
2023-12-10T19:29:42.336390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
131.2 8
26.7%
53.4 6
20.0%
4.5 4
13.3%
107.8 4
13.3%
39.0 4
13.3%
64.2 4
13.3%
ValueCountFrequency (%)
4.5 4
13.3%
39.0 4
13.3%
53.4 6
20.0%
64.2 4
13.3%
107.8 4
13.3%
131.2 8
26.7%
ValueCountFrequency (%)
131.2 8
26.7%
107.8 4
13.3%
64.2 4
13.3%
53.4 6
20.0%
39.0 4
13.3%
4.5 4
13.3%

1종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.861667
Minimum0
Maximum124.2
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:42.554871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile84.7
Q191.25
median100
Q3108
95-th percentile118.826
Maximum124.2
Range124.2
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation21.397479
Coefficient of variation (CV)0.21865026
Kurtosis15.477766
Mean97.861667
Median Absolute Deviation (MAD)9
Skewness-3.353325
Sum2935.85
Variance457.8521
MonotonicityNot monotonic
2023-12-10T19:29:43.091175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
91.0 2
 
6.7%
114.0 2
 
6.7%
103.0 2
 
6.7%
100.0 2
 
6.7%
88.0 2
 
6.7%
90.0 2
 
6.7%
102.0 1
 
3.3%
113.0 1
 
3.3%
104.0 1
 
3.3%
115.0 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 1
3.3%
82.0 1
3.3%
88.0 2
6.7%
90.0 2
6.7%
91.0 2
6.7%
92.0 1
3.3%
92.57 1
3.3%
93.0 1
3.3%
94.0 1
3.3%
98.0 1
3.3%
ValueCountFrequency (%)
124.2 1
3.3%
120.32 1
3.3%
117.0 1
3.3%
115.0 1
3.3%
114.0 2
6.7%
113.0 1
3.3%
109.0 1
3.3%
105.0 1
3.3%
104.0 1
3.3%
103.76 1
3.3%

2종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.836333
Minimum0
Maximum109.09
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:43.346628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median43.5
Q3107
95-th percentile109
Maximum109.09
Range109.09
Interquartile range (IQR)107

Descriptive statistics

Standard deviation53.876066
Coefficient of variation (CV)1.0196784
Kurtosis-2.1303874
Mean52.836333
Median Absolute Deviation (MAD)43.5
Skewness0.014447298
Sum1585.09
Variance2902.6305
MonotonicityNot monotonic
2023-12-10T19:29:43.558753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 15
50.0%
107.0 4
 
13.3%
109.0 3
 
10.0%
103.0 2
 
6.7%
108.0 2
 
6.7%
106.0 2
 
6.7%
109.09 1
 
3.3%
87.0 1
 
3.3%
ValueCountFrequency (%)
0.0 15
50.0%
87.0 1
 
3.3%
103.0 2
 
6.7%
106.0 2
 
6.7%
107.0 4
 
13.3%
108.0 2
 
6.7%
109.0 3
 
10.0%
109.09 1
 
3.3%
ValueCountFrequency (%)
109.09 1
 
3.3%
109.0 3
 
10.0%
108.0 2
 
6.7%
107.0 4
 
13.3%
106.0 2
 
6.7%
103.0 2
 
6.7%
87.0 1
 
3.3%
0.0 15
50.0%

3종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.328333
Minimum0
Maximum114
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:43.730252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44.5
Q398.75
95-th percentile104.1
Maximum114
Range114
Interquartile range (IQR)98.75

Descriptive statistics

Standard deviation50.378084
Coefficient of variation (CV)1.0212809
Kurtosis-2.1065077
Mean49.328333
Median Absolute Deviation (MAD)44.5
Skewness0.026330133
Sum1479.85
Variance2537.9513
MonotonicityNot monotonic
2023-12-10T19:29:43.972471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 15
50.0%
99.0 2
 
6.7%
103.0 2
 
6.7%
102.85 1
 
3.3%
92.0 1
 
3.3%
93.0 1
 
3.3%
105.0 1
 
3.3%
95.0 1
 
3.3%
98.0 1
 
3.3%
89.0 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0.0 15
50.0%
89.0 1
 
3.3%
90.0 1
 
3.3%
92.0 1
 
3.3%
93.0 1
 
3.3%
95.0 1
 
3.3%
96.0 1
 
3.3%
98.0 1
 
3.3%
99.0 2
 
6.7%
101.0 1
 
3.3%
ValueCountFrequency (%)
114.0 1
3.3%
105.0 1
3.3%
103.0 2
6.7%
102.85 1
3.3%
101.0 1
3.3%
99.0 2
6.7%
98.0 1
3.3%
96.0 1
3.3%
95.0 1
3.3%
93.0 1
3.3%

4종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.121333
Minimum0
Maximum111
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:44.258760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74.5
Q385
95-th percentile104.134
Maximum111
Range111
Interquartile range (IQR)85

Descriptive statistics

Standard deviation44.270746
Coefficient of variation (CV)0.84937862
Kurtosis-1.840346
Mean52.121333
Median Absolute Deviation (MAD)25
Skewness-0.28503847
Sum1563.64
Variance1959.899
MonotonicityNot monotonic
2023-12-10T19:29:44.463697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 12
40.0%
85.0 3
 
10.0%
75.0 2
 
6.7%
97.0 2
 
6.7%
105.88 1
 
3.3%
71.76 1
 
3.3%
95.0 1
 
3.3%
102.0 1
 
3.3%
74.0 1
 
3.3%
81.0 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0.0 12
40.0%
71.0 1
 
3.3%
71.76 1
 
3.3%
74.0 1
 
3.3%
75.0 2
 
6.7%
80.0 1
 
3.3%
81.0 1
 
3.3%
82.0 1
 
3.3%
85.0 3
 
10.0%
91.0 1
 
3.3%
ValueCountFrequency (%)
111.0 1
 
3.3%
105.88 1
 
3.3%
102.0 1
 
3.3%
97.0 2
6.7%
95.0 1
 
3.3%
91.0 1
 
3.3%
85.0 3
10.0%
82.0 1
 
3.3%
81.0 1
 
3.3%
80.0 1
 
3.3%

5종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.008333
Minimum0
Maximum96
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:44.652473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380.5
95-th percentile92.9625
Maximum96
Range96
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation42.706319
Coefficient of variation (CV)1.0947999
Kurtosis-2.0450135
Mean39.008333
Median Absolute Deviation (MAD)0
Skewness0.18447048
Sum1170.25
Variance1823.8297
MonotonicityNot monotonic
2023-12-10T19:29:44.861540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 16
53.3%
89.0 2
 
6.7%
77.0 2
 
6.7%
96.0 2
 
6.7%
89.25 1
 
3.3%
73.0 1
 
3.3%
84.0 1
 
3.3%
78.0 1
 
3.3%
79.0 1
 
3.3%
86.0 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0.0 16
53.3%
73.0 1
 
3.3%
76.0 1
 
3.3%
77.0 2
 
6.7%
78.0 1
 
3.3%
79.0 1
 
3.3%
81.0 1
 
3.3%
84.0 1
 
3.3%
86.0 1
 
3.3%
89.0 2
 
6.7%
ValueCountFrequency (%)
96.0 2
6.7%
89.25 1
3.3%
89.0 2
6.7%
86.0 1
3.3%
84.0 1
3.3%
81.0 1
3.3%
79.0 1
3.3%
78.0 1
3.3%
77.0 2
6.7%
76.0 1
3.3%

6종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.4
Minimum0
Maximum87
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:45.033103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376.75
95-th percentile86
Maximum87
Range87
Interquartile range (IQR)76.75

Descriptive statistics

Standard deviation37.97422
Coefficient of variation (CV)1.5563205
Kurtosis-1.1990116
Mean24.4
Median Absolute Deviation (MAD)0
Skewness0.93139547
Sum732
Variance1442.0414
MonotonicityNot monotonic
2023-12-10T19:29:45.193600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 21
70.0%
77 2
 
6.7%
86 2
 
6.7%
80 1
 
3.3%
87 1
 
3.3%
76 1
 
3.3%
82 1
 
3.3%
81 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
76 1
 
3.3%
77 2
 
6.7%
80 1
 
3.3%
81 1
 
3.3%
82 1
 
3.3%
86 2
 
6.7%
87 1
 
3.3%
ValueCountFrequency (%)
87 1
 
3.3%
86 2
 
6.7%
82 1
 
3.3%
81 1
 
3.3%
80 1
 
3.3%
77 2
 
6.7%
76 1
 
3.3%
0 21
70.0%

7종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.2
Minimum0
Maximum95
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:45.379820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376
95-th percentile88.2
Maximum95
Range95
Interquartile range (IQR)76

Descriptive statistics

Standard deviation39.500677
Coefficient of variation (CV)1.4522308
Kurtosis-1.3793863
Mean27.2
Median Absolute Deviation (MAD)0
Skewness0.80319127
Sum816
Variance1560.3034
MonotonicityNot monotonic
2023-12-10T19:29:45.581158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 20
66.7%
86 2
 
6.7%
82 1
 
3.3%
73 1
 
3.3%
60 1
 
3.3%
90 1
 
3.3%
95 1
 
3.3%
83 1
 
3.3%
84 1
 
3.3%
77 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
60 1
 
3.3%
73 1
 
3.3%
77 1
 
3.3%
82 1
 
3.3%
83 1
 
3.3%
84 1
 
3.3%
86 2
 
6.7%
90 1
 
3.3%
95 1
 
3.3%
ValueCountFrequency (%)
95 1
 
3.3%
90 1
 
3.3%
86 2
 
6.7%
84 1
 
3.3%
83 1
 
3.3%
82 1
 
3.3%
77 1
 
3.3%
73 1
 
3.3%
60 1
 
3.3%
0 20
66.7%

8종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.448
Minimum0
Maximum88
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:45.744253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84.55
Maximum88
Range88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.51338
Coefficient of variation (CV)2.0375353
Kurtosis0.5938496
Mean16.448
Median Absolute Deviation (MAD)0
Skewness1.592869
Sum493.44
Variance1123.1466
MonotonicityNot monotonic
2023-12-10T19:29:45.927063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 24
80.0%
82.44 1
 
3.3%
75.0 1
 
3.3%
85.0 1
 
3.3%
88.0 1
 
3.3%
79.0 1
 
3.3%
84.0 1
 
3.3%
ValueCountFrequency (%)
0.0 24
80.0%
75.0 1
 
3.3%
79.0 1
 
3.3%
82.44 1
 
3.3%
84.0 1
 
3.3%
85.0 1
 
3.3%
88.0 1
 
3.3%
ValueCountFrequency (%)
88.0 1
 
3.3%
85.0 1
 
3.3%
84.0 1
 
3.3%
82.44 1
 
3.3%
79.0 1
 
3.3%
75.0 1
 
3.3%
0.0 24
80.0%

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

2023-12-10T19:29:46.139934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:46.302694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

10종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum0
Maximum89
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:46.441428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80.1
Maximum89
Range89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.50862
Coefficient of variation (CV)1.8576354
Kurtosis0.010304684
Mean17.5
Median Absolute Deviation (MAD)0
Skewness1.3851935
Sum525
Variance1056.8103
MonotonicityNot monotonic
2023-12-10T19:29:46.599267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 23
76.7%
66 2
 
6.7%
68 1
 
3.3%
81 1
 
3.3%
79 1
 
3.3%
76 1
 
3.3%
89 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
66 2
 
6.7%
68 1
 
3.3%
76 1
 
3.3%
79 1
 
3.3%
81 1
 
3.3%
89 1
 
3.3%
ValueCountFrequency (%)
89 1
 
3.3%
81 1
 
3.3%
79 1
 
3.3%
76 1
 
3.3%
68 1
 
3.3%
66 2
 
6.7%
0 23
76.7%

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

2023-12-10T19:29:46.859776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:47.037203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 차량 속도(km/hr)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.233333
Minimum0
Maximum86
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:47.162560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77.55
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.100153
Coefficient of variation (CV)2.0415856
Kurtosis0.67867686
Mean15.233333
Median Absolute Deviation (MAD)0
Skewness1.6087035
Sum457
Variance967.21954
MonotonicityNot monotonic
2023-12-10T19:29:47.337968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
80.0%
77 2
 
6.7%
78 1
 
3.3%
67 1
 
3.3%
86 1
 
3.3%
72 1
 
3.3%
ValueCountFrequency (%)
0 24
80.0%
67 1
 
3.3%
72 1
 
3.3%
77 2
 
6.7%
78 1
 
3.3%
86 1
 
3.3%
ValueCountFrequency (%)
86 1
 
3.3%
78 1
 
3.3%
77 2
 
6.7%
72 1
 
3.3%
67 1
 
3.3%
0 24
80.0%

1종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.533333
Minimum0
Maximum57
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:47.504825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18.5
median14.5
Q328.5
95-th percentile47.75
Maximum57
Range57
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.146943
Coefficient of variation (CV)0.77544077
Kurtosis0.1197464
Mean19.533333
Median Absolute Deviation (MAD)9.5
Skewness0.9218472
Sum586
Variance229.42989
MonotonicityNot monotonic
2023-12-10T19:29:47.676981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11 3
 
10.0%
3 3
 
10.0%
10 2
 
6.7%
45 2
 
6.7%
20 2
 
6.7%
29 2
 
6.7%
24 2
 
6.7%
7 1
 
3.3%
22 1
 
3.3%
0 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 1
 
3.3%
3 3
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
10 2
6.7%
11 3
10.0%
12 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
57 1
3.3%
50 1
3.3%
45 2
6.7%
35 1
3.3%
30 1
3.3%
29 2
6.7%
27 1
3.3%
24 2
6.7%
22 1
3.3%
20 2
6.7%

2종 차량수(대)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
15 
1
14 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
50.0%
1 14
46.7%
3 1
 
3.3%

Length

2023-12-10T19:29:47.881667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:48.040336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
50.0%
1 14
46.7%
3 1
 
3.3%

3종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2666667
Minimum0
Maximum6
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:48.232499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.75
95-th percentile5.55
Maximum6
Range6
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.8181714
Coefficient of variation (CV)1.4353984
Kurtosis1.6049974
Mean1.2666667
Median Absolute Deviation (MAD)0.5
Skewness1.5658644
Sum38
Variance3.3057471
MonotonicityNot monotonic
2023-12-10T19:29:48.479557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
3 4
 
13.3%
6 2
 
6.7%
2 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 7
23.3%
2 1
 
3.3%
3 4
 
13.3%
5 1
 
3.3%
6 2
 
6.7%
ValueCountFrequency (%)
6 2
 
6.7%
5 1
 
3.3%
3 4
 
13.3%
2 1
 
3.3%
1 7
23.3%
0 15
50.0%

4종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4333333
Minimum0
Maximum5
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:48.688102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5241353
Coefficient of variation (CV)1.0633502
Kurtosis-0.49529387
Mean1.4333333
Median Absolute Deviation (MAD)1
Skewness0.76157331
Sum43
Variance2.3229885
MonotonicityNot monotonic
2023-12-10T19:29:48.899328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 12
40.0%
2 6
20.0%
1 5
16.7%
3 3
 
10.0%
4 3
 
10.0%
5 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 5
16.7%
2 6
20.0%
3 3
 
10.0%
4 3
 
10.0%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 3
 
10.0%
3 3
 
10.0%
2 6
20.0%
1 5
16.7%
0 12
40.0%

5종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3333333
Minimum0
Maximum8
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:49.210890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.75
95-th percentile5.55
Maximum8
Range8
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.0899321
Coefficient of variation (CV)1.5674491
Kurtosis2.8667194
Mean1.3333333
Median Absolute Deviation (MAD)0
Skewness1.830293
Sum40
Variance4.3678161
MonotonicityNot monotonic
2023-12-10T19:29:49.498556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
2 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 6
 
20.0%
2 2
 
6.7%
3 1
 
3.3%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 1
 
3.3%
2 2
 
6.7%
1 6
 
20.0%
0 16
53.3%

6종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63333333
Minimum0
Maximum5
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:49.718523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.55
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2726116
Coefficient of variation (CV)2.0093867
Kurtosis5.2403168
Mean0.63333333
Median Absolute Deviation (MAD)0
Skewness2.36875
Sum19
Variance1.6195402
MonotonicityNot monotonic
2023-12-10T19:29:49.942416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 21
70.0%
1 5
 
16.7%
3 1
 
3.3%
4 1
 
3.3%
2 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
1 5
 
16.7%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
1 5
 
16.7%
0 21
70.0%

7종 차량수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86666667
Minimum0
Maximum6
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:50.211329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4.55
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5916449
Coefficient of variation (CV)1.8365133
Kurtosis3.9368271
Mean0.86666667
Median Absolute Deviation (MAD)0
Skewness2.1024685
Sum26
Variance2.5333333
MonotonicityNot monotonic
2023-12-10T19:29:50.399457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
66.7%
2 4
 
13.3%
1 3
 
10.0%
6 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
1 3
 
10.0%
2 4
 
13.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
6 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
2 4
 
13.3%
1 3
 
10.0%
0 20
66.7%

8종 차량수(대)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
4 
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 4
 
13.3%
3 1
 
3.3%
2 1
 
3.3%

Length

2023-12-10T19:29:50.612194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:50.783612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 4
 
13.3%
3 1
 
3.3%
2 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

2023-12-10T19:29:50.985783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:51.145724image/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
23 
1
4 
2
 
1
6
 
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%
2 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%

Length

2023-12-10T19:29:51.318061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:51.499331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 4
 
13.3%
2 1
 
3.3%
6 1
 
3.3%
4 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

2023-12-10T19:29:51.686039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:51.906438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

12종 차량수(대)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
3 
2
 
2
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 24
80.0%
1 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

Length

2023-12-10T19:29:52.059900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:52.216420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

위도(°)
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.312204
Minimum34.889167
Maximum35.681944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:52.361385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.889167
5-th percentile34.889167
Q135.128681
median35.2725
Q335.553056
95-th percentile35.681944
Maximum35.681944
Range0.79277777
Interquartile range (IQR)0.424375

Descriptive statistics

Standard deviation0.26236988
Coefficient of variation (CV)0.007430006
Kurtosis-0.98035609
Mean35.312204
Median Absolute Deviation (MAD)0.18083333
Skewness0.023341557
Sum1059.3661
Variance0.068837956
MonotonicityNot monotonic
2023-12-10T19:29:52.557673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
35.2725 8
26.7%
35.68194444 6
20.0%
34.88916667 4
13.3%
35.55305556 4
13.3%
35.09166667 4
13.3%
35.23972222 4
13.3%
ValueCountFrequency (%)
34.88916667 4
13.3%
35.09166667 4
13.3%
35.23972222 4
13.3%
35.2725 8
26.7%
35.55305556 4
13.3%
35.68194444 6
20.0%
ValueCountFrequency (%)
35.68194444 6
20.0%
35.55305556 4
13.3%
35.2725 8
26.7%
35.23972222 4
13.3%
35.09166667 4
13.3%
34.88916667 4
13.3%

경도(°)
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.46
Minimum127.76028
Maximum129.18111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T19:29:52.772655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.76028
5-th percentile127.76028
Q1128.03563
median128.41278
Q3128.67139
95-th percentile129.18111
Maximum129.18111
Range1.4208333
Interquartile range (IQR)0.6357639

Descriptive statistics

Standard deviation0.47919037
Coefficient of variation (CV)0.0037302691
Kurtosis-1.0687527
Mean128.46
Median Absolute Deviation (MAD)0.2586111
Skewness0.14918379
Sum3853.8
Variance0.22962341
MonotonicityNot monotonic
2023-12-10T19:29:52.951984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
128.6713889 8
26.7%
129.1811111 6
20.0%
128.4127778 4
13.3%
127.7602778 4
13.3%
128.1725 4
13.3%
127.99 4
13.3%
ValueCountFrequency (%)
127.7602778 4
13.3%
127.99 4
13.3%
128.1725 4
13.3%
128.4127778 4
13.3%
128.6713889 8
26.7%
129.1811111 6
20.0%
ValueCountFrequency (%)
129.1811111 6
20.0%
128.6713889 8
26.7%
128.4127778 4
13.3%
128.1725 4
13.3%
127.99 4
13.3%
127.7602778 4
13.3%

기울기(°)
Real number (ℝ)

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.022666667
Minimum-2.74
Maximum2.78
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)40.0%
Memory size402.0 B
2023-12-10T19:29:53.143027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.74
5-th percentile-2.2315
Q1-0.4625
median0.19
Q30.4475
95-th percentile2.2085
Maximum2.78
Range5.52
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation1.2392404
Coefficient of variation (CV)54.672371
Kurtosis1.3002993
Mean0.022666667
Median Absolute Deviation (MAD)0.57
Skewness-0.045300982
Sum0.68
Variance1.5357168
MonotonicityNot monotonic
2023-12-10T19:29:53.354348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.19 7
23.3%
-0.38 4
13.3%
0.23 3
10.0%
0.82 2
 
6.7%
-0.7 2
 
6.7%
-2.74 2
 
6.7%
2.78 2
 
6.7%
1.51 2
 
6.7%
-1.61 2
 
6.7%
-0.49 2
 
6.7%
ValueCountFrequency (%)
-2.74 2
 
6.7%
-1.61 2
 
6.7%
-0.7 2
 
6.7%
-0.49 2
 
6.7%
-0.38 4
13.3%
0.19 7
23.3%
0.23 3
10.0%
0.52 2
 
6.7%
0.82 2
 
6.7%
1.51 2
 
6.7%
ValueCountFrequency (%)
2.78 2
 
6.7%
1.51 2
 
6.7%
0.82 2
 
6.7%
0.52 2
 
6.7%
0.23 3
10.0%
0.19 7
23.3%
-0.38 4
13.3%
-0.49 2
 
6.7%
-0.7 2
 
6.7%
-1.61 2
 
6.7%

주소
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
경남 창원시 동읍 덕산리
8 
울산 울주군 두서면 활천리
6 
경남 통영시 광도면 노산리
4 
경남 함양군 지곡면 보산리
4 
경남 진주시 금곡면 두문리
4 

Length

Max length14
Median length14
Mean length13.733333
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경남 통영시 광도면 노산리
2nd row경남 통영시 광도면 노산리
3rd row경남 통영시 광도면 노산리
4th row경남 통영시 광도면 노산리
5th row울산 울주군 두서면 활천리

Common Values

ValueCountFrequency (%)
경남 창원시 동읍 덕산리 8
26.7%
울산 울주군 두서면 활천리 6
20.0%
경남 통영시 광도면 노산리 4
13.3%
경남 함양군 지곡면 보산리 4
13.3%
경남 진주시 금곡면 두문리 4
13.3%
경남 진주시 명석면 오미리 4
13.3%

Length

2023-12-10T19:29:53.552092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:29:53.743783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경남 24
20.0%
동읍 8
 
6.7%
덕산리 8
 
6.7%
창원시 8
 
6.7%
진주시 8
 
6.7%
울산 6
 
5.0%
울주군 6
 
5.0%
두서면 6
 
5.0%
활천리 6
 
5.0%
보산리 4
 
3.3%
Other values (9) 36
30.0%

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
0도로공사20200201A-0351-0045S-4S1동고성IC-북통영IC4.5120.320.00.00.00.0000.00000140000000000034.889167128.4127780.82경남 통영시 광도면 노산리
1도로공사20200201A-0351-0045S-4S2동고성IC-북통영IC4.5103.76109.09102.85105.880.0000.00000241110000000034.889167128.4127780.82경남 통영시 광도면 노산리
2도로공사20200201A-0351-0045S-4E1북통영IC-동고성IC4.5124.20.00.00.00.0000.0000080000000000034.889167128.412778-0.7경남 통영시 광도면 노산리
3도로공사20200201A-0351-0045S-4E2북통영IC-동고성IC4.592.570.00.071.7689.250082.44000050011001000034.889167128.412778-0.7경남 통영시 광도면 노산리
4도로공사20200201A-0010-0538E-6S1활천IC-언양JC53.4114.00.00.00.00.0000.00000200000000000035.681944129.1811110.19울산 울주군 두서면 활천리
5도로공사20200201A-0010-0538E-6S2활천IC-언양JC53.4103.00.099.095.089.0000.00000500611000000035.681944129.1811110.19울산 울주군 두서면 활천리
6도로공사20200201A-0010-0538E-6S3활천IC-언양JC53.4105.00.092.075.073.080820.006607860131320010435.681944129.1811110.19울산 울주군 두서면 활천리
7도로공사20200201A-0010-0538E-6E1언양JC-활천IC53.4103.00.00.00.00.0000.00000110000000000035.681944129.1811110.23울산 울주군 두서면 활천리
8도로공사20200201A-0010-0538E-6E2언양JC-활천IC53.494.0103.0103.00.084.08700.00000271101100000035.681944129.1811110.23울산 울주군 두서면 활천리
9도로공사20200201A-0010-0538E-6E3언양JC-활천IC53.482.00.00.075.077.0767375.00680030055461010035.681944129.1811110.23울산 울주군 두서면 활천리
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
20도로공사20200201A-0100-1312S-8S3동창원IC-창원JC131.288.0107.0103.091.079.08600.0079077351344100040135.2725128.6713890.19경남 창원시 동읍 덕산리
21도로공사20200201A-0100-1312S-8S4동창원IC-창원JC131.290.0106.00.085.086.0000.007600111021000010035.2725128.6713890.19경남 창원시 동읍 덕산리
22도로공사20200201A-0100-1312S-8E1창원JC-동창원IC131.2109.00.00.00.00.0000.00000450000000000035.2725128.671389-0.38경남 창원시 동읍 덕산리
23도로공사20200201A-0100-1312S-8E2창원JC-동창원IC131.299.0109.0114.097.00.00950.00000571320020000035.2725128.671389-0.38경남 창원시 동읍 덕산리
24도로공사20200201A-0100-1312S-8E3창원JC-동창원IC131.298.00.0101.097.081.082860.0089086150518540010235.2725128.671389-0.38경남 창원시 동읍 덕산리
25도로공사20200201A-0100-1312S-8E4창원JC-동창원IC131.20.00.00.00.00.0000.0000000000000000035.2725128.671389-0.38경남 창원시 동읍 덕산리
26도로공사20200201A-0351-0642S-4S1단성IC-서진주IC64.2115.0108.00.00.00.00830.00000221000010000035.239722127.99-0.49경남 진주시 명석면 오미리
27도로공사20200201A-0351-0642S-4S2단성IC-서진주IC64.2104.0103.096.080.076.00840.00000243123050000035.239722127.99-0.49경남 진주시 명석면 오미리
28도로공사20200201A-0351-0642S-4E1서진주IC-단성IC64.2113.00.00.0111.00.0000.0000030040000000035.239722127.990.52경남 진주시 명석면 오미리
29도로공사20200201A-0351-0642S-4E2서진주IC-단성IC64.288.00.090.082.00.0817784.00007270330111000135.239722127.990.52경남 진주시 명석면 오미리