Overview

Dataset statistics

Number of variables35
Number of observations10000
Missing cells43074
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 MiB
Average record size in memory322.0 B

Variable types

Categorical9
Numeric26

Dataset

Description한국교통안전공단 운수안전컨설팅지원시스템에서 관리하고 있는국가표준 노드에 대한 운행통계 및 분석정보
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15066930/fileData.do

Alerts

기준년도 has constant value ""Constant
노드등급 has constant value ""Constant
회귀상수 has constant value ""Constant
위험운전행동회귀계수 has constant value ""Constant
교차로규모회귀계수 has constant value ""Constant
회귀확산도 has constant value ""Constant
장기과속카운트 is highly imbalanced (98.8%)Imbalance
중상자수 has 5956 (59.6%) missing valuesMissing
경상자수 has 5956 (59.6%) missing valuesMissing
부상자수 has 5956 (59.6%) missing valuesMissing
사고카운트 has 5956 (59.6%) missing valuesMissing
교차로epdo has 5937 (59.4%) missing valuesMissing
사고epdo has 5937 (59.4%) missing valuesMissing
epdo has 5937 (59.4%) missing valuesMissing
교차로운행차량대수 has 1296 (13.0%) missing valuesMissing
40km이상과속카운트 is highly skewed (γ1 = 26.54601831)Skewed
60km이상과속카운트 is highly skewed (γ1 = 20.84730161)Skewed
공회전기준시간초과카운트 is highly skewed (γ1 = 36.4300833)Skewed
노드id has unique valuesUnique
20km이상과속카운트 has 681 (6.8%) zerosZeros
40km이상과속카운트 has 2133 (21.3%) zerosZeros
60km이상과속카운트 has 4113 (41.1%) zerosZeros
급출발카운트 has 586 (5.9%) zerosZeros
급감속카운트 has 162 (1.6%) zerosZeros
급정지카운트 has 302 (3.0%) zerosZeros
급좌회전카운트 has 793 (7.9%) zerosZeros
급우회전카운트 has 859 (8.6%) zerosZeros
급유턴카운트 has 1741 (17.4%) zerosZeros
급앞지르기카운트 has 1089 (10.9%) zerosZeros
급진로변경카운트 has 527 (5.3%) zerosZeros
공회전기준시간초과카운트 has 594 (5.9%) zerosZeros
중상자수 has 2065 (20.6%) zerosZeros
경상자수 has 590 (5.9%) zerosZeros
부상자수 has 3348 (33.5%) zerosZeros

Reproduction

Analysis started2023-12-12 02:16:02.521219
Analysis finished2023-12-12 02:16:03.265024
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 10000
100.0%

Length

2023-12-12T11:16:03.335507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:03.424932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 10000
100.0%

노드id
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1949001 × 109
Minimum1.0000054 × 109
Maximum3.1100663 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:03.566522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0000054 × 109
5-th percentile1.120015 × 109
Q11.790068 × 109
median2.2900046 × 109
Q32.7100011 × 109
95-th percentile3.0600455 × 109
Maximum3.1100663 × 109
Range2.1100609 × 109
Interquartile range (IQR)9.1993318 × 108

Descriptive statistics

Standard deviation5.7937445 × 108
Coefficient of variation (CV)0.26396393
Kurtosis-0.7614884
Mean2.1949001 × 109
Median Absolute Deviation (MAD)4.3007735 × 108
Skewness-0.38105845
Sum2.1949001 × 1013
Variance3.3567476 × 1017
MonotonicityNot monotonic
2023-12-12T11:16:03.727459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1120013300 1
 
< 0.1%
1660004000 1
 
< 0.1%
2140274100 1
 
< 0.1%
1560116500 1
 
< 0.1%
1630010600 1
 
< 0.1%
2300121400 1
 
< 0.1%
2510120400 1
 
< 0.1%
2380026000 1
 
< 0.1%
2250013700 1
 
< 0.1%
2870000400 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1000005400 1
< 0.1%
1000005800 1
< 0.1%
1000006100 1
< 0.1%
1000007500 1
< 0.1%
1000007900 1
< 0.1%
1000008200 1
< 0.1%
1000009800 1
< 0.1%
1000010100 1
< 0.1%
1000010500 1
< 0.1%
1000011000 1
< 0.1%
ValueCountFrequency (%)
3110066300 1
< 0.1%
3110063500 1
< 0.1%
3110063200 1
< 0.1%
3110063100 1
< 0.1%
3110062800 1
< 0.1%
3110061300 1
< 0.1%
3110061200 1
< 0.1%
3110061000 1
< 0.1%
3110060900 1
< 0.1%
3110060200 1
< 0.1%

노드등급
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
101
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 10000
100.0%

Length

2023-12-12T11:16:03.898312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:04.024780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 10000
100.0%

회귀상수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
-5.889356458
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-5.889356458
2nd row-5.889356458
3rd row-5.889356458
4th row-5.889356458
5th row-5.889356458

Common Values

ValueCountFrequency (%)
-5.889356458 10000
100.0%

Length

2023-12-12T11:16:04.133149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:04.243097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.889356458 10000
100.0%

위험운전행동회귀계수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.424729206
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.424729206
2nd row0.424729206
3rd row0.424729206
4th row0.424729206
5th row0.424729206

Common Values

ValueCountFrequency (%)
0.424729206 10000
100.0%

Length

2023-12-12T11:16:04.344668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:04.449776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.424729206 10000
100.0%

교차로규모회귀계수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.57107048
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.57107048
2nd row0.57107048
3rd row0.57107048
4th row0.57107048
5th row0.57107048

Common Values

ValueCountFrequency (%)
0.57107048 10000
100.0%

Length

2023-12-12T11:16:04.565027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:04.660697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.57107048 10000
100.0%

회귀확산도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.560021374
10000 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.560021374
2nd row0.560021374
3rd row0.560021374
4th row0.560021374
5th row0.560021374

Common Values

ValueCountFrequency (%)
0.560021374 10000
100.0%

Length

2023-12-12T11:16:04.789379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:04.899587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.560021374 10000
100.0%

교차로위험수준
Real number (ℝ)

Distinct8909
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.016883008
Minimum-7.4126657
Maximum16.852571
Zeros0
Zeros (%)0.0%
Negative7160
Negative (%)71.6%
Memory size166.0 KiB
2023-12-12T11:16:05.334597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7.4126657
5-th percentile-1.7897534
Q1-0.56107278
median-0.16543212
Q30.25443731
95-th percentile2.554322
Maximum16.852571
Range24.265237
Interquartile range (IQR)0.81551008

Descriptive statistics

Standard deviation1.4907375
Coefficient of variation (CV)88.298095
Kurtosis14.513484
Mean0.016883008
Median Absolute Deviation (MAD)0.40214669
Skewness2.4690274
Sum168.83008
Variance2.2222982
MonotonicityNot monotonic
2023-12-12T11:16:05.502151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.44321766 17
 
0.2%
-0.03063341 8
 
0.1%
-0.007411512 8
 
0.1%
-0.04042104 8
 
0.1%
-0.017495936 7
 
0.1%
-0.050703638 7
 
0.1%
-0.037374884 7
 
0.1%
-0.031355933 7
 
0.1%
-0.080037392 7
 
0.1%
-0.029148447 7
 
0.1%
Other values (8899) 9917
99.2%
ValueCountFrequency (%)
-7.412665663 1
< 0.1%
-7.209825074 1
< 0.1%
-6.988004907 1
< 0.1%
-6.204083158 1
< 0.1%
-5.625693128 1
< 0.1%
-5.569132309 1
< 0.1%
-5.3779885 1
< 0.1%
-5.102447704 1
< 0.1%
-5.042730767 1
< 0.1%
-5.001955363 1
< 0.1%
ValueCountFrequency (%)
16.85257144 1
< 0.1%
16.27217663 1
< 0.1%
14.02225951 1
< 0.1%
13.99832778 1
< 0.1%
12.0680412 1
< 0.1%
11.82730082 1
< 0.1%
11.79156307 1
< 0.1%
11.77238674 1
< 0.1%
11.32308192 1
< 0.1%
10.53916358 1
< 0.1%

교차로위험순위
Real number (ℝ)

Distinct8909
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38671.907
Minimum4
Maximum78790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:05.652176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile3304.9
Q117377.5
median37691
Q360208
95-th percentile75427.05
Maximum78790
Range78786
Interquartile range (IQR)42830.5

Descriptive statistics

Standard deviation23696.894
Coefficient of variation (CV)0.61276767
Kurtosis-1.2942534
Mean38671.907
Median Absolute Deviation (MAD)21291.5
Skewness0.060352459
Sum3.8671907 × 108
Variance5.615428 × 108
MonotonicityNot monotonic
2023-12-12T11:16:05.820978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20992 17
 
0.2%
55195 8
 
0.1%
57685 8
 
0.1%
53819 8
 
0.1%
56749 7
 
0.1%
52354 7
 
0.1%
54280 7
 
0.1%
55099 7
 
0.1%
48251 7
 
0.1%
55380 7
 
0.1%
Other values (8899) 9917
99.2%
ValueCountFrequency (%)
4 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
17 1
< 0.1%
34 1
< 0.1%
38 1
< 0.1%
46 1
< 0.1%
58 1
< 0.1%
62 1
< 0.1%
64 1
< 0.1%
ValueCountFrequency (%)
78790 1
< 0.1%
78786 1
< 0.1%
78775 1
< 0.1%
78774 1
< 0.1%
78745 1
< 0.1%
78741 1
< 0.1%
78739 1
< 0.1%
78738 1
< 0.1%
78727 1
< 0.1%
78710 1
< 0.1%

교차로안전등급
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
5987 
D
1737 
B
1173 
C
1103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowA
3rd rowA
4th rowA
5th rowD

Common Values

ValueCountFrequency (%)
A 5987
59.9%
D 1737
 
17.4%
B 1173
 
11.7%
C 1103
 
11.0%

Length

2023-12-12T11:16:05.977342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:06.083200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 5987
59.9%
d 1737
 
17.4%
b 1173
 
11.7%
c 1103
 
11.0%

교차로참조집단위험수준
Real number (ℝ)

Distinct8678
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.043817
Minimum0.003716561
Maximum10.701753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:06.237616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.003716561
5-th percentile0.048724359
Q10.19739293
median0.57033724
Q31.4372967
95-th percentile3.6012073
Maximum10.701753
Range10.698037
Interquartile range (IQR)1.2399037

Descriptive statistics

Standard deviation1.2401413
Coefficient of variation (CV)1.188083
Kurtosis6.5830228
Mean1.043817
Median Absolute Deviation (MAD)0.45012111
Skewness2.2198085
Sum10438.17
Variance1.5379503
MonotonicityNot monotonic
2023-12-12T11:16:06.401031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44321766 22
 
0.2%
0.007411512 8
 
0.1%
0.080037392 8
 
0.1%
0.04042104 8
 
0.1%
0.03063341 8
 
0.1%
0.050703638 8
 
0.1%
0.009342591 7
 
0.1%
0.029148447 7
 
0.1%
0.035454396 7
 
0.1%
0.034129488 7
 
0.1%
Other values (8668) 9910
99.1%
ValueCountFrequency (%)
0.003716561 4
< 0.1%
0.004415016 1
 
< 0.1%
0.004988816 1
 
< 0.1%
0.005484764 1
 
< 0.1%
0.005521417 2
 
< 0.1%
0.005926367 1
 
< 0.1%
0.006327364 2
 
< 0.1%
0.006559061 3
 
< 0.1%
0.00696003 3
 
< 0.1%
0.007411512 8
0.1%
ValueCountFrequency (%)
10.70175308 1
< 0.1%
9.682990395 1
< 0.1%
9.544547885 1
< 0.1%
9.53028302 1
< 0.1%
9.399876509 1
< 0.1%
9.204083158 1
< 0.1%
9.019908191 1
< 0.1%
8.988004907 1
< 0.1%
8.983111447 1
< 0.1%
8.966142447 1
< 0.1%

권역교차로위험순위
Real number (ℝ)

Distinct1312
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.6345
Minimum1
Maximum1944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:06.565001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q186
median197
Q3408
95-th percentile934
Maximum1944
Range1943
Interquartile range (IQR)322

Descriptive statistics

Standard deviation315.68887
Coefficient of variation (CV)1.0431357
Kurtosis5.0183957
Mean302.6345
Median Absolute Deviation (MAD)138
Skewness2.0416106
Sum3026345
Variance99659.46
MonotonicityNot monotonic
2023-12-12T11:16:06.746370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 39
 
0.4%
45 39
 
0.4%
61 38
 
0.4%
70 37
 
0.4%
49 36
 
0.4%
59 35
 
0.4%
14 35
 
0.4%
22 35
 
0.4%
1 35
 
0.4%
96 34
 
0.3%
Other values (1302) 9637
96.4%
ValueCountFrequency (%)
1 35
0.4%
2 31
0.3%
3 27
0.3%
4 22
0.2%
5 27
0.3%
6 34
0.3%
7 39
0.4%
8 25
0.2%
9 33
0.3%
10 26
0.3%
ValueCountFrequency (%)
1944 1
< 0.1%
1940 1
< 0.1%
1937 1
< 0.1%
1934 1
< 0.1%
1933 1
< 0.1%
1929 1
< 0.1%
1925 1
< 0.1%
1921 1
< 0.1%
1908 1
< 0.1%
1901 1
< 0.1%

20km이상과속카운트
Real number (ℝ)

ZEROS 

Distinct2140
Distinct (%)21.4%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean79.056843
Minimum0
Maximum10865.8
Zeros681
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:06.928480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7.7
Q346.3
95-th percentile340.42
Maximum10865.8
Range10865.8
Interquartile range (IQR)45.3

Descriptive statistics

Standard deviation313.73532
Coefficient of variation (CV)3.9684777
Kurtosis355.56773
Mean79.056843
Median Absolute Deviation (MAD)7.6
Skewness14.992362
Sum789698.8
Variance98429.848
MonotonicityNot monotonic
2023-12-12T11:16:07.118409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 681
 
6.8%
0.3 406
 
4.1%
0.1 336
 
3.4%
0.2 238
 
2.4%
0.8 182
 
1.8%
0.4 147
 
1.5%
1.3 138
 
1.4%
0.6 137
 
1.4%
0.5 131
 
1.3%
0.7 129
 
1.3%
Other values (2130) 7464
74.6%
ValueCountFrequency (%)
0.0 681
6.8%
0.1 336
3.4%
0.2 238
 
2.4%
0.3 406
4.1%
0.4 147
 
1.5%
0.5 131
 
1.3%
0.6 137
 
1.4%
0.7 129
 
1.3%
0.8 182
 
1.8%
0.9 93
 
0.9%
ValueCountFrequency (%)
10865.8 1
< 0.1%
9647.4 1
< 0.1%
8568.7 1
< 0.1%
6871.5 1
< 0.1%
5781.8 1
< 0.1%
4712.1 1
< 0.1%
4677.8 1
< 0.1%
4332.0 1
< 0.1%
4240.5 1
< 0.1%
4159.0 1
< 0.1%

40km이상과속카운트
Real number (ℝ)

SKEWED  ZEROS 

Distinct715
Distinct (%)7.2%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean10.307799
Minimum0
Maximum3393.7
Zeros2133
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:07.276759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.7
Q33.7
95-th percentile32.86
Maximum3393.7
Range3393.7
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation74.048318
Coefficient of variation (CV)7.183718
Kurtosis956.14575
Mean10.307799
Median Absolute Deviation (MAD)0.7
Skewness26.546018
Sum102964.6
Variance5483.1535
MonotonicityNot monotonic
2023-12-12T11:16:07.497750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2133
21.3%
0.1 880
 
8.8%
0.3 714
 
7.1%
0.2 540
 
5.4%
0.8 307
 
3.1%
0.4 274
 
2.7%
0.5 228
 
2.3%
0.6 211
 
2.1%
1.3 208
 
2.1%
0.7 153
 
1.5%
Other values (705) 4341
43.4%
ValueCountFrequency (%)
0.0 2133
21.3%
0.1 880
8.8%
0.2 540
 
5.4%
0.3 714
 
7.1%
0.4 274
 
2.7%
0.5 228
 
2.3%
0.6 211
 
2.1%
0.7 153
 
1.5%
0.8 307
 
3.1%
0.9 124
 
1.2%
ValueCountFrequency (%)
3393.7 1
< 0.1%
3099.3 1
< 0.1%
2358.9 1
< 0.1%
1972.3 1
< 0.1%
1676.3 1
< 0.1%
1273.8 1
< 0.1%
1202.9 1
< 0.1%
1186.4 1
< 0.1%
1136.1 1
< 0.1%
878.3 1
< 0.1%

60km이상과속카운트
Real number (ℝ)

SKEWED  ZEROS 

Distinct277
Distinct (%)2.8%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1.8123936
Minimum0
Maximum494
Zeros4113
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:07.709387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.6
95-th percentile4.66
Maximum494
Range494
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation14.759593
Coefficient of variation (CV)8.1437017
Kurtosis527.25231
Mean1.8123936
Median Absolute Deviation (MAD)0.1
Skewness20.847302
Sum18104
Variance217.84559
MonotonicityNot monotonic
2023-12-12T11:16:07.898568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4113
41.1%
0.1 1225
 
12.2%
0.3 822
 
8.2%
0.2 723
 
7.2%
0.8 280
 
2.8%
0.4 257
 
2.6%
0.5 232
 
2.3%
0.6 215
 
2.1%
0.7 171
 
1.7%
1.3 123
 
1.2%
Other values (267) 1828
18.3%
ValueCountFrequency (%)
0.0 4113
41.1%
0.1 1225
 
12.2%
0.2 723
 
7.2%
0.3 822
 
8.2%
0.4 257
 
2.6%
0.5 232
 
2.3%
0.6 215
 
2.1%
0.7 171
 
1.7%
0.8 280
 
2.8%
0.9 122
 
1.2%
ValueCountFrequency (%)
494.0 1
< 0.1%
492.3 1
< 0.1%
422.1 1
< 0.1%
402.8 1
< 0.1%
361.3 1
< 0.1%
348.1 1
< 0.1%
312.4 1
< 0.1%
268.3 1
< 0.1%
267.5 1
< 0.1%
255.3 1
< 0.1%

장기과속카운트
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9989 
<NA>
 
11

Length

Max length4
Median length1
Mean length1.0033
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 9989
99.9%
<NA> 11
 
0.1%

Length

2023-12-12T11:16:08.089619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:08.213884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9989
99.9%
na 11
 
0.1%

급가속카운트
Real number (ℝ)

Distinct5470
Distinct (%)54.8%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean805.881
Minimum0
Maximum23974.3
Zeros40
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:08.363828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4
Q117.8
median127.1
Q3826.9
95-th percentile3940.16
Maximum23974.3
Range23974.3
Interquartile range (IQR)809.1

Descriptive statistics

Standard deviation1628.872
Coefficient of variation (CV)2.0212315
Kurtosis22.902666
Mean805.881
Median Absolute Deviation (MAD)124.1
Skewness3.9727038
Sum8049945.3
Variance2653224.1
MonotonicityNot monotonic
2023-12-12T11:16:08.537058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8 59
 
0.6%
0.3 52
 
0.5%
1.3 46
 
0.5%
1.8 40
 
0.4%
0.0 40
 
0.4%
0.5 37
 
0.4%
1.5 33
 
0.3%
2.3 33
 
0.3%
0.7 32
 
0.3%
3.3 32
 
0.3%
Other values (5460) 9585
95.9%
ValueCountFrequency (%)
0.0 40
0.4%
0.1 17
 
0.2%
0.2 23
 
0.2%
0.3 52
0.5%
0.4 29
0.3%
0.5 37
0.4%
0.6 28
0.3%
0.7 32
0.3%
0.8 59
0.6%
0.9 26
0.3%
ValueCountFrequency (%)
23974.3 1
< 0.1%
18084.9 1
< 0.1%
16925.9 1
< 0.1%
16619.7 1
< 0.1%
15778.4 1
< 0.1%
15668.4 1
< 0.1%
15657.2 1
< 0.1%
15080.6 1
< 0.1%
14957.2 1
< 0.1%
14836.0 1
< 0.1%

급출발카운트
Real number (ℝ)

ZEROS 

Distinct2525
Distinct (%)25.3%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean79.757153
Minimum0
Maximum2560
Zeros586
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:08.727838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median7
Q372.8
95-th percentile414.34
Maximum2560
Range2560
Interquartile range (IQR)72

Descriptive statistics

Standard deviation176.02031
Coefficient of variation (CV)2.2069532
Kurtosis29.847971
Mean79.757153
Median Absolute Deviation (MAD)6.9
Skewness4.4161024
Sum796694.2
Variance30983.148
MonotonicityNot monotonic
2023-12-12T11:16:08.874023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 586
 
5.9%
0.3 455
 
4.5%
0.1 356
 
3.6%
0.2 297
 
3.0%
0.8 229
 
2.3%
0.4 212
 
2.1%
0.5 164
 
1.6%
1.3 155
 
1.6%
0.6 152
 
1.5%
0.7 143
 
1.4%
Other values (2515) 7240
72.4%
ValueCountFrequency (%)
0.0 586
5.9%
0.1 356
3.6%
0.2 297
3.0%
0.3 455
4.5%
0.4 212
 
2.1%
0.5 164
 
1.6%
0.6 152
 
1.5%
0.7 143
 
1.4%
0.8 229
 
2.3%
0.9 118
 
1.2%
ValueCountFrequency (%)
2560.0 1
< 0.1%
2437.8 1
< 0.1%
2397.3 1
< 0.1%
2313.6 1
< 0.1%
2022.6 1
< 0.1%
1812.8 1
< 0.1%
1780.8 1
< 0.1%
1761.3 1
< 0.1%
1632.9 1
< 0.1%
1597.8 1
< 0.1%

급감속카운트
Real number (ℝ)

ZEROS 

Distinct3198
Distinct (%)32.0%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean128.59896
Minimum0
Maximum7224.5
Zeros162
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:09.031245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q15.8
median38.1
Q3143.3
95-th percentile533.82
Maximum7224.5
Range7224.5
Interquartile range (IQR)137.5

Descriptive statistics

Standard deviation261.65057
Coefficient of variation (CV)2.0346243
Kurtosis102.85777
Mean128.59896
Median Absolute Deviation (MAD)36.8
Skewness7.1101755
Sum1284575
Variance68461.02
MonotonicityNot monotonic
2023-12-12T11:16:09.231803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 176
 
1.8%
0.0 162
 
1.6%
0.2 114
 
1.1%
1.3 104
 
1.0%
0.1 103
 
1.0%
0.8 97
 
1.0%
0.4 90
 
0.9%
0.6 83
 
0.8%
1.8 71
 
0.7%
0.5 71
 
0.7%
Other values (3188) 8918
89.2%
ValueCountFrequency (%)
0.0 162
1.6%
0.1 103
1.0%
0.2 114
1.1%
0.3 176
1.8%
0.4 90
0.9%
0.5 71
0.7%
0.6 83
0.8%
0.7 70
 
0.7%
0.8 97
1.0%
0.9 52
 
0.5%
ValueCountFrequency (%)
7224.5 1
< 0.1%
4610.7 1
< 0.1%
4574.8 1
< 0.1%
4109.8 1
< 0.1%
3847.3 1
< 0.1%
3821.3 1
< 0.1%
3207.5 1
< 0.1%
3134.5 1
< 0.1%
2998.2 1
< 0.1%
2962.5 1
< 0.1%

급정지카운트
Real number (ℝ)

ZEROS 

Distinct1991
Distinct (%)19.9%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean50.326159
Minimum0
Maximum2887.8
Zeros302
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:09.401674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q11.7
median10
Q347.4
95-th percentile236.48
Maximum2887.8
Range2887.8
Interquartile range (IQR)45.7

Descriptive statistics

Standard deviation113.77421
Coefficient of variation (CV)2.2607371
Kurtosis72.392468
Mean50.326159
Median Absolute Deviation (MAD)9.7
Skewness6.1535278
Sum502708
Variance12944.571
MonotonicityNot monotonic
2023-12-12T11:16:09.586852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 325
 
3.2%
0.0 302
 
3.0%
0.1 227
 
2.3%
0.8 203
 
2.0%
0.2 185
 
1.8%
1.3 173
 
1.7%
0.4 151
 
1.5%
0.5 139
 
1.4%
1.8 114
 
1.1%
0.7 105
 
1.1%
Other values (1981) 8065
80.7%
ValueCountFrequency (%)
0.0 302
3.0%
0.1 227
2.3%
0.2 185
1.8%
0.3 325
3.2%
0.4 151
1.5%
0.5 139
1.4%
0.6 102
 
1.0%
0.7 105
 
1.1%
0.8 203
2.0%
0.9 82
 
0.8%
ValueCountFrequency (%)
2887.8 1
< 0.1%
1859.1 1
< 0.1%
1766.4 1
< 0.1%
1450.7 1
< 0.1%
1256.8 1
< 0.1%
1164.9 1
< 0.1%
1154.9 1
< 0.1%
1125.3 1
< 0.1%
1090.3 1
< 0.1%
1083.2 1
< 0.1%

급좌회전카운트
Real number (ℝ)

ZEROS 

Distinct2477
Distinct (%)24.8%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean114.33981
Minimum0
Maximum14774.5
Zeros793
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:09.771636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7
median7.2
Q357.3
95-th percentile573.5
Maximum14774.5
Range14774.5
Interquartile range (IQR)56.6

Descriptive statistics

Standard deviation412.30995
Coefficient of variation (CV)3.6060051
Kurtosis317.47299
Mean114.33981
Median Absolute Deviation (MAD)7.1
Skewness13.21667
Sum1142140.4
Variance169999.49
MonotonicityNot monotonic
2023-12-12T11:16:09.963094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 793
 
7.9%
0.1 452
 
4.5%
0.3 416
 
4.2%
0.2 282
 
2.8%
0.8 193
 
1.9%
0.4 181
 
1.8%
0.5 136
 
1.4%
0.6 129
 
1.3%
1.3 125
 
1.2%
0.7 116
 
1.2%
Other values (2467) 7166
71.7%
ValueCountFrequency (%)
0.0 793
7.9%
0.1 452
4.5%
0.2 282
 
2.8%
0.3 416
4.2%
0.4 181
 
1.8%
0.5 136
 
1.4%
0.6 129
 
1.3%
0.7 116
 
1.2%
0.8 193
 
1.9%
0.9 86
 
0.9%
ValueCountFrequency (%)
14774.5 1
< 0.1%
13119.5 1
< 0.1%
8066.8 1
< 0.1%
6432.8 1
< 0.1%
6128.4 1
< 0.1%
5402.7 1
< 0.1%
5336.7 1
< 0.1%
5327.8 1
< 0.1%
5201.3 1
< 0.1%
5141.0 1
< 0.1%

급우회전카운트
Real number (ℝ)

ZEROS 

Distinct2137
Distinct (%)21.4%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean71.65429
Minimum0
Maximum8153.4
Zeros859
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:10.188557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median6
Q341.4
95-th percentile367.68
Maximum8153.4
Range8153.4
Interquartile range (IQR)40.8

Descriptive statistics

Standard deviation228.54959
Coefficient of variation (CV)3.1896148
Kurtosis230.18867
Mean71.65429
Median Absolute Deviation (MAD)5.9
Skewness10.774125
Sum715754.7
Variance52234.913
MonotonicityNot monotonic
2023-12-12T11:16:10.749492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 859
 
8.6%
0.1 467
 
4.7%
0.3 450
 
4.5%
0.2 284
 
2.8%
0.8 208
 
2.1%
0.4 174
 
1.7%
0.5 158
 
1.6%
0.6 139
 
1.4%
1.3 136
 
1.4%
0.7 123
 
1.2%
Other values (2127) 6991
69.9%
ValueCountFrequency (%)
0.0 859
8.6%
0.1 467
4.7%
0.2 284
 
2.8%
0.3 450
4.5%
0.4 174
 
1.7%
0.5 158
 
1.6%
0.6 139
 
1.4%
0.7 123
 
1.2%
0.8 208
 
2.1%
0.9 101
 
1.0%
ValueCountFrequency (%)
8153.4 1
< 0.1%
5151.2 1
< 0.1%
3982.3 1
< 0.1%
3603.8 1
< 0.1%
3299.3 1
< 0.1%
3291.0 1
< 0.1%
3231.8 1
< 0.1%
2897.8 1
< 0.1%
2816.7 1
< 0.1%
2639.8 1
< 0.1%

급유턴카운트
Real number (ℝ)

ZEROS 

Distinct1026
Distinct (%)10.3%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17.544689
Minimum0
Maximum3323.3
Zeros1741
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:10.943075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median1
Q37
95-th percentile73.86
Maximum3323.3
Range3323.3
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation91.387259
Coefficient of variation (CV)5.2088275
Kurtosis465.01799
Mean17.544689
Median Absolute Deviation (MAD)1
Skewness18.303317
Sum175253.9
Variance8351.6311
MonotonicityNot monotonic
2023-12-12T11:16:11.099818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1741
 
17.4%
0.1 825
 
8.2%
0.3 672
 
6.7%
0.2 522
 
5.2%
0.8 268
 
2.7%
0.4 253
 
2.5%
0.6 191
 
1.9%
0.5 185
 
1.8%
1.3 176
 
1.8%
0.7 153
 
1.5%
Other values (1016) 5003
50.0%
ValueCountFrequency (%)
0.0 1741
17.4%
0.1 825
8.2%
0.2 522
 
5.2%
0.3 672
 
6.7%
0.4 253
 
2.5%
0.5 185
 
1.8%
0.6 191
 
1.9%
0.7 153
 
1.5%
0.8 268
 
2.7%
0.9 105
 
1.1%
ValueCountFrequency (%)
3323.3 1
< 0.1%
2519.5 1
< 0.1%
2462.8 1
< 0.1%
2425.9 1
< 0.1%
2409.0 1
< 0.1%
2173.7 1
< 0.1%
2038.8 1
< 0.1%
1578.5 1
< 0.1%
1314.3 1
< 0.1%
1288.4 1
< 0.1%

급앞지르기카운트
Real number (ℝ)

ZEROS 

Distinct1405
Distinct (%)14.1%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.825778
Minimum0
Maximum2744.3
Zeros1089
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:11.256008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median2.9
Q317.8
95-th percentile131.58
Maximum2744.3
Range2744.3
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation89.3187
Coefficient of variation (CV)3.2099264
Kurtosis214.67631
Mean27.825778
Median Absolute Deviation (MAD)2.9
Skewness11.051381
Sum277951.7
Variance7977.8302
MonotonicityNot monotonic
2023-12-12T11:16:11.399391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1089
 
10.9%
0.3 502
 
5.0%
0.1 482
 
4.8%
0.2 404
 
4.0%
0.8 259
 
2.6%
0.4 204
 
2.0%
0.5 172
 
1.7%
0.6 167
 
1.7%
1.3 162
 
1.6%
1.8 133
 
1.3%
Other values (1395) 6415
64.1%
ValueCountFrequency (%)
0.0 1089
10.9%
0.1 482
4.8%
0.2 404
 
4.0%
0.3 502
5.0%
0.4 204
 
2.0%
0.5 172
 
1.7%
0.6 167
 
1.7%
0.7 128
 
1.3%
0.8 259
 
2.6%
0.9 125
 
1.2%
ValueCountFrequency (%)
2744.3 1
< 0.1%
2513.8 1
< 0.1%
1925.8 1
< 0.1%
1527.6 1
< 0.1%
1454.4 1
< 0.1%
1395.4 1
< 0.1%
1236.6 1
< 0.1%
1110.4 1
< 0.1%
1069.3 1
< 0.1%
1066.4 1
< 0.1%

급진로변경카운트
Real number (ℝ)

ZEROS 

Distinct2083
Distinct (%)20.9%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.209861
Minimum0
Maximum6128
Zeros527
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:11.540189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median9.7
Q348.5
95-th percentile296.64
Maximum6128
Range6128
Interquartile range (IQR)47

Descriptive statistics

Standard deviation203.24904
Coefficient of variation (CV)3.1168451
Kurtosis221.05611
Mean65.209861
Median Absolute Deviation (MAD)9.4
Skewness11.348016
Sum651381.3
Variance41310.172
MonotonicityNot monotonic
2023-12-12T11:16:11.726138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 527
 
5.3%
0.3 303
 
3.0%
0.1 281
 
2.8%
0.2 188
 
1.9%
0.5 165
 
1.7%
0.8 163
 
1.6%
0.4 131
 
1.3%
1.3 118
 
1.2%
0.6 104
 
1.0%
0.7 104
 
1.0%
Other values (2073) 7905
79.0%
ValueCountFrequency (%)
0.0 527
5.3%
0.1 281
2.8%
0.2 188
 
1.9%
0.3 303
3.0%
0.4 131
 
1.3%
0.5 165
 
1.7%
0.6 104
 
1.0%
0.7 104
 
1.0%
0.8 163
 
1.6%
0.9 86
 
0.9%
ValueCountFrequency (%)
6128.0 1
< 0.1%
6012.5 1
< 0.1%
3734.3 1
< 0.1%
3676.8 1
< 0.1%
3353.4 1
< 0.1%
2985.2 1
< 0.1%
2864.8 1
< 0.1%
2856.8 1
< 0.1%
2826.4 1
< 0.1%
2768.9 1
< 0.1%

공회전기준시간초과카운트
Real number (ℝ)

SKEWED  ZEROS 

Distinct898
Distinct (%)9.0%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean19.550856
Minimum0
Maximum9224.9
Zeros594
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:11.876728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median2.2
Q37.8
95-th percentile51.22
Maximum9224.9
Range9224.9
Interquartile range (IQR)7.3

Descriptive statistics

Standard deviation135.75241
Coefficient of variation (CV)6.9435532
Kurtosis2180.2534
Mean19.550856
Median Absolute Deviation (MAD)2
Skewness36.430083
Sum195293.5
Variance18428.716
MonotonicityNot monotonic
2023-12-12T11:16:12.014600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 649
 
6.5%
0.0 594
 
5.9%
0.1 402
 
4.0%
0.2 381
 
3.8%
0.8 336
 
3.4%
0.4 266
 
2.7%
0.5 262
 
2.6%
1.3 248
 
2.5%
0.6 203
 
2.0%
1.8 188
 
1.9%
Other values (888) 6460
64.6%
ValueCountFrequency (%)
0.0 594
5.9%
0.1 402
4.0%
0.2 381
3.8%
0.3 649
6.5%
0.4 266
2.7%
0.5 262
2.6%
0.6 203
 
2.0%
0.7 180
 
1.8%
0.8 336
3.4%
0.9 140
 
1.4%
ValueCountFrequency (%)
9224.9 1
< 0.1%
2631.8 1
< 0.1%
2169.9 1
< 0.1%
2091.9 1
< 0.1%
2029.1 1
< 0.1%
1985.3 1
< 0.1%
1979.9 1
< 0.1%
1943.9 1
< 0.1%
1745.5 1
< 0.1%
1716.1 1
< 0.1%

사망자수
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
5956 
0
3939 
1
 
104
2
 
1

Length

Max length4
Median length4
Mean length2.7868
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 5956
59.6%
0 3939
39.4%
1 104
 
1.0%
2 1
 
< 0.1%

Length

2023-12-12T11:16:12.182404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:16:12.314639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5956
59.6%
0 3939
39.4%
1 104
 
1.0%
2 1
 
< 0.1%

중상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)0.3%
Missing5956
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean0.84272997
Minimum0
Maximum22
Zeros2065
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:12.432758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2355498
Coefficient of variation (CV)1.4661277
Kurtosis28.043606
Mean0.84272997
Median Absolute Deviation (MAD)0
Skewness3.2959446
Sum3408
Variance1.5265833
MonotonicityNot monotonic
2023-12-12T11:16:12.570394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 2065
 
20.6%
1 1188
 
11.9%
2 460
 
4.6%
3 181
 
1.8%
4 78
 
0.8%
5 40
 
0.4%
7 12
 
0.1%
6 10
 
0.1%
8 5
 
0.1%
9 3
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 5956
59.6%
ValueCountFrequency (%)
0 2065
20.6%
1 1188
11.9%
2 460
 
4.6%
3 181
 
1.8%
4 78
 
0.8%
5 40
 
0.4%
6 10
 
0.1%
7 12
 
0.1%
8 5
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
12 1
 
< 0.1%
9 3
 
< 0.1%
8 5
 
0.1%
7 12
 
0.1%
6 10
 
0.1%
5 40
 
0.4%
4 78
 
0.8%
3 181
 
1.8%
2 460
4.6%

경상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)0.7%
Missing5956
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean2.8909496
Minimum0
Maximum33
Zeros590
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:12.702682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum33
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.3500864
Coefficient of variation (CV)1.1588187
Kurtosis10.605683
Mean2.8909496
Median Absolute Deviation (MAD)1
Skewness2.6706522
Sum11691
Variance11.223079
MonotonicityNot monotonic
2023-12-12T11:16:12.831511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1207
 
12.1%
2 699
 
7.0%
0 590
 
5.9%
3 460
 
4.6%
4 300
 
3.0%
5 206
 
2.1%
6 141
 
1.4%
7 108
 
1.1%
8 79
 
0.8%
10 52
 
0.5%
Other values (18) 202
 
2.0%
(Missing) 5956
59.6%
ValueCountFrequency (%)
0 590
5.9%
1 1207
12.1%
2 699
7.0%
3 460
 
4.6%
4 300
 
3.0%
5 206
 
2.1%
6 141
 
1.4%
7 108
 
1.1%
8 79
 
0.8%
9 44
 
0.4%
ValueCountFrequency (%)
33 1
 
< 0.1%
32 1
 
< 0.1%
27 1
 
< 0.1%
26 2
 
< 0.1%
25 3
 
< 0.1%
22 3
 
< 0.1%
21 2
 
< 0.1%
20 2
 
< 0.1%
19 5
0.1%
18 11
0.1%

부상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing5956
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean0.23170129
Minimum0
Maximum9
Zeros3348
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:12.965124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.59884791
Coefficient of variation (CV)2.5845688
Kurtosis24.749091
Mean0.23170129
Median Absolute Deviation (MAD)0
Skewness3.8842152
Sum937
Variance0.35861882
MonotonicityNot monotonic
2023-12-12T11:16:13.127469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3348
33.5%
1 530
 
5.3%
2 117
 
1.2%
3 35
 
0.4%
4 7
 
0.1%
5 5
 
0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 5956
59.6%
ValueCountFrequency (%)
0 3348
33.5%
1 530
 
5.3%
2 117
 
1.2%
3 35
 
0.4%
4 7
 
0.1%
5 5
 
0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
6 1
 
< 0.1%
5 5
 
0.1%
4 7
 
0.1%
3 35
 
0.4%
2 117
 
1.2%
1 530
 
5.3%
0 3348
33.5%

사고카운트
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)0.5%
Missing5956
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean2.6228981
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:13.296097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile7
Maximum22
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3996001
Coefficient of variation (CV)0.91486591
Kurtosis9.7061339
Mean2.6228981
Median Absolute Deviation (MAD)1
Skewness2.5965954
Sum10607
Variance5.7580805
MonotonicityNot monotonic
2023-12-12T11:16:13.457201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1773
 
17.7%
2 860
 
8.6%
3 493
 
4.9%
4 306
 
3.1%
5 200
 
2.0%
6 131
 
1.3%
7 91
 
0.9%
8 61
 
0.6%
10 30
 
0.3%
9 29
 
0.3%
Other values (11) 70
 
0.7%
(Missing) 5956
59.6%
ValueCountFrequency (%)
1 1773
17.7%
2 860
8.6%
3 493
 
4.9%
4 306
 
3.1%
5 200
 
2.0%
6 131
 
1.3%
7 91
 
0.9%
8 61
 
0.6%
9 29
 
0.3%
10 30
 
0.3%
ValueCountFrequency (%)
22 2
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
18 3
 
< 0.1%
17 1
 
< 0.1%
16 2
 
< 0.1%
15 4
 
< 0.1%
14 8
0.1%
13 12
0.1%
12 18
0.2%

교차로epdo
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)4.5%
Missing5937
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean2.0273916
Minimum0
Maximum27
Zeros53
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:13.647554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.375
Q10.75
median1.5
Q32.625
95-th percentile5.5
Maximum27
Range27
Interquartile range (IQR)1.875

Descriptive statistics

Standard deviation1.9183816
Coefficient of variation (CV)0.94623137
Kurtosis15.927607
Mean2.0273916
Median Absolute Deviation (MAD)0.75
Skewness2.9146281
Sum8237.2922
Variance3.6801878
MonotonicityNot monotonic
2023-12-12T11:16:13.812978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 404
 
4.0%
1.5 332
 
3.3%
3.0 288
 
2.9%
0.75 274
 
2.7%
0.6 247
 
2.5%
2.0 203
 
2.0%
0.5 174
 
1.7%
1.2 148
 
1.5%
1.8 131
 
1.3%
0.428571429 103
 
1.0%
Other values (173) 1759
 
17.6%
(Missing) 5937
59.4%
ValueCountFrequency (%)
0.0 53
0.5%
0.1875 1
 
< 0.1%
0.2 1
 
< 0.1%
0.214285714 2
 
< 0.1%
0.230769231 4
 
< 0.1%
0.25 7
 
0.1%
0.272727273 15
 
0.1%
0.3 24
 
0.2%
0.333333333 46
0.5%
0.375 96
1.0%
ValueCountFrequency (%)
27.0 1
 
< 0.1%
18.0 1
 
< 0.1%
16.8 1
 
< 0.1%
16.5 1
 
< 0.1%
15.0 1
 
< 0.1%
14.0 1
 
< 0.1%
13.8 1
 
< 0.1%
13.5 5
0.1%
13.125 1
 
< 0.1%
12.75 1
 
< 0.1%

사고epdo
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)2.2%
Missing5937
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean10.6722
Minimum3
Maximum84.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:13.989391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median6
Q315
95-th percentile30
Maximum84.4
Range81.4
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.6348681
Coefficient of variation (CV)0.90280053
Kurtosis6.5494028
Mean10.6722
Median Absolute Deviation (MAD)3
Skewness2.1445922
Sum43361.15
Variance92.830684
MonotonicityNot monotonic
2023-12-12T11:16:14.185626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 1256
 
12.6%
6.0 765
 
7.6%
9.0 532
 
5.3%
12.0 344
 
3.4%
15.0 250
 
2.5%
18.0 169
 
1.7%
21.0 124
 
1.2%
24.0 78
 
0.8%
27.0 73
 
0.7%
30.0 36
 
0.4%
Other values (80) 436
 
4.4%
(Missing) 5937
59.4%
ValueCountFrequency (%)
3.0 1256
12.6%
4.0 1
 
< 0.1%
4.5 17
 
0.2%
5.0 1
 
< 0.1%
6.0 765
7.6%
7.0 1
 
< 0.1%
7.5 21
 
0.2%
8.0 1
 
< 0.1%
9.0 532
5.3%
10.0 3
 
< 0.1%
ValueCountFrequency (%)
84.4 1
 
< 0.1%
82.5 1
 
< 0.1%
78.0 1
 
< 0.1%
75.0 1
 
< 0.1%
69.0 1
 
< 0.1%
68.5 1
 
< 0.1%
66.5 1
 
< 0.1%
63.0 1
 
< 0.1%
60.0 3
< 0.1%
57.0 2
< 0.1%

epdo
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)0.9%
Missing5937
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean12.287226
Minimum3
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:14.360758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median9
Q315
95-th percentile36
Maximum168
Range165
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.853488
Coefficient of variation (CV)1.0460854
Kurtosis14.686497
Mean12.287226
Median Absolute Deviation (MAD)6
Skewness2.9323182
Sum49923
Variance165.21216
MonotonicityNot monotonic
2023-12-12T11:16:14.540674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 1205
 
12.0%
6 758
 
7.6%
9 537
 
5.4%
12 359
 
3.6%
15 260
 
2.6%
18 197
 
2.0%
21 155
 
1.6%
24 123
 
1.2%
27 95
 
0.9%
30 67
 
0.7%
Other values (25) 307
 
3.1%
(Missing) 5937
59.4%
ValueCountFrequency (%)
3 1205
12.0%
6 758
7.6%
9 537
5.4%
12 359
 
3.6%
15 260
 
2.6%
18 197
 
2.0%
21 155
 
1.6%
24 123
 
1.2%
27 95
 
0.9%
30 67
 
0.7%
ValueCountFrequency (%)
168 1
 
< 0.1%
126 1
 
< 0.1%
108 1
 
< 0.1%
105 2
< 0.1%
102 3
< 0.1%
99 1
 
< 0.1%
93 1
 
< 0.1%
84 2
< 0.1%
81 1
 
< 0.1%
78 1
 
< 0.1%

교차로운행차량대수
Real number (ℝ)

MISSING 

Distinct951
Distinct (%)10.9%
Missing1296
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean16.934697
Minimum1
Maximum364.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:16:14.749890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q12.2
median6.9
Q319.8
95-th percentile65.985
Maximum364.6
Range363.6
Interquartile range (IQR)17.6

Descriptive statistics

Standard deviation27.522352
Coefficient of variation (CV)1.6252049
Kurtosis26.667152
Mean16.934697
Median Absolute Deviation (MAD)5.3
Skewness4.1875886
Sum147399.6
Variance757.47988
MonotonicityNot monotonic
2023-12-12T11:16:14.922957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3 251
 
2.5%
1.2 240
 
2.4%
1.4 212
 
2.1%
1.5 204
 
2.0%
1.1 186
 
1.9%
1.6 176
 
1.8%
1.7 161
 
1.6%
1.9 149
 
1.5%
1.0 139
 
1.4%
1.8 135
 
1.4%
Other values (941) 6851
68.5%
(Missing) 1296
 
13.0%
ValueCountFrequency (%)
1.0 139
1.4%
1.1 186
1.9%
1.2 240
2.4%
1.3 251
2.5%
1.4 212
2.1%
1.5 204
2.0%
1.6 176
1.8%
1.7 161
1.6%
1.8 135
1.4%
1.9 149
1.5%
ValueCountFrequency (%)
364.6 1
< 0.1%
341.3 1
< 0.1%
321.3 1
< 0.1%
312.3 1
< 0.1%
306.9 1
< 0.1%
303.9 1
< 0.1%
291.3 1
< 0.1%
265.5 1
< 0.1%
260.8 1
< 0.1%
253.3 1
< 0.1%

Sample

기준년도노드id노드등급회귀상수위험운전행동회귀계수교차로규모회귀계수회귀확산도교차로위험수준교차로위험순위교차로안전등급교차로참조집단위험수준권역교차로위험순위20km이상과속카운트40km이상과속카운트60km이상과속카운트장기과속카운트급가속카운트급출발카운트급감속카운트급정지카운트급좌회전카운트급우회전카운트급유턴카운트급앞지르기카운트급진로변경카운트공회전기준시간초과카운트사망자수중상자수경상자수부상자수사고카운트교차로epdo사고epdoepdo교차로운행차량대수
263420181120013300101-5.8893560.4247290.571070.5600213.47887376812D1.52112715542.311.31.70916.398.4140.358.839.216.06.2112.8170.04.8009150.4285713.0362.2
4416020182740018203101-5.8893560.4247290.571070.560021-0.56801117203A0.568011886.81.30.2096.72.8108.015.410.27.213.66.129.70.6<NA><NA><NA><NA><NA><NA><NA><NA>4.8
2984320182310047300101-5.8893560.4247290.571070.560021-0.68511214462A0.6851128937.72.92.20192.74.726.44.40.72.10.30.33.39.8<NA><NA><NA><NA><NA><NA><NA><NA>7.4
2891520182300003702101-5.8893560.4247290.571070.560021-0.30386527087A0.30386534470.829.63.8015.11.19.32.70.20.00.00.07.90.0<NA><NA><NA><NA><NA><NA><NA><NA>8.5
2344620182180005201101-5.8893560.4247290.571070.5600215.43700978044D1.562991527113.17.60.401255.287.2492.991.227.55.92.84.120.88.0033171.59.0129.8
5327020183070006300101-5.8893560.4247290.571070.5600211.00090869676D0.99909274830.83.70.30148.76.791.111.87.815.421.635.4276.111.802202<NA><NA><NA>2.6
3523720182380003001101-5.8893560.4247290.571070.560021-0.36079724265A0.36079718856.86.81.0058.42.965.64.80.00.00.00.81.80.3<NA><NA><NA><NA><NA><NA><NA><NA>3.5
5198720183000021100101-5.8893560.4247290.571070.560021-0.34264425108A0.3426441450.10.00.0065.41.0303.286.84.88.19.82.07.314.7<NA><NA><NA><NA><NA><NA><NA><NA>24.4
1012320181610026100101-5.8893560.4247290.571070.560021-0.07720348637A0.0772033193.80.20.005.80.10.60.30.70.30.00.10.70.5<NA><NA><NA><NA><NA><NA><NA><NA>1.4
3355120182350004300101-5.8893560.4247290.571070.560021-1.2939476279A1.29394744899.812.12.80815.957.2208.165.428.65.65.38.558.31.2<NA><NA><NA><NA><NA>4.824.02413.2
기준년도노드id노드등급회귀상수위험운전행동회귀계수교차로규모회귀계수회귀확산도교차로위험수준교차로위험순위교차로안전등급교차로참조집단위험수준권역교차로위험순위20km이상과속카운트40km이상과속카운트60km이상과속카운트장기과속카운트급가속카운트급출발카운트급감속카운트급정지카운트급좌회전카운트급우회전카운트급유턴카운트급앞지르기카운트급진로변경카운트공회전기준시간초과카운트사망자수중상자수경상자수부상자수사고카운트교차로epdo사고epdoepdo교차로운행차량대수
1619120181920004800101-5.8893560.4247290.571070.560021-0.38347223284A0.383472722.30.10.0064.11.322.03.86.63.70.32.822.53.3<NA><NA><NA><NA><NA><NA><NA><NA>3.7
5503820183080133000101-5.8893560.4247290.571070.560021-0.08214347965A0.0821431570.00.00.002.70.01.80.13.31.81.10.33.30.3<NA><NA><NA><NA><NA><NA><NA><NA>1.9
5203020183000030600101-5.8893560.4247290.571070.560021-1.6683623845A1.66836234488.616.94.00769.2130.6222.8428.3219.941.324.95.327.62.8<NA><NA><NA><NA><NA>0.53.039.5
3285920182330391000101-5.8893560.4247290.571070.560021-0.08199747994A0.08199711170.30.00.005.80.32.41.30.31.80.00.10.40.8<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1729920181950001700101-5.8893560.4247290.571070.560021-0.35192324665A0.351923262.312.21.8015.40.34.00.92.30.10.61.616.80.3<NA><NA><NA><NA><NA><NA><NA><NA>8.6
264520181120014700101-5.8893560.4247290.571070.560021-0.34356425066A0.3435641766.313.92.9052.61.727.32.20.00.60.11.99.112.8<NA><NA><NA><NA><NA><NA><NA><NA>46.0
1017720181610039700101-5.8893560.4247290.571070.560021-0.49232119308A0.492321249144.461.17.504.00.02.30.30.00.10.10.10.10.5<NA><NA><NA><NA><NA><NA><NA><NA><NA>
4530320182790002600101-5.8893560.4247290.571070.560021-1.5428464532A1.542846116.11.40.701118.8108.2564.793.1375.6489.8116.15.319.74.3<NA><NA><NA><NA><NA><NA><NA><NA>15.6
3580020182400003603101-5.8893560.4247290.571070.560021-0.182735980A0.18272287.50.60.0013.30.33.31.11.80.70.61.24.30.3<NA><NA><NA><NA><NA><NA><NA><NA>3.4
1944020182050001700101-5.8893560.4247290.571070.560021-0.48910919417B4.48910961100.28.21.301010.534.8360.838.249.849.83323.3171.3829.13.402804<NA><NA><NA>35.7