Overview

Dataset statistics

Number of variables27
Number of observations4378
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory945.0 KiB
Average record size in memory221.0 B

Variable types

DateTime1
Numeric4
Categorical20
Text2

Dataset

Description* 제주도 개별 교통사고 상세정보(2017)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094186/fileData.do

Alerts

발생지_시도 has constant value ""Constant
사망자수 is highly imbalanced (91.7%)Imbalance
노면상태_대분류 is highly imbalanced (97.5%)Imbalance
노면상태 is highly imbalanced (71.3%)Imbalance
기상상태 is highly imbalanced (68.0%)Imbalance
가해자차종 is highly imbalanced (53.4%)Imbalance
발생시간 has 99 (2.3%) zerosZeros
중상자수 has 3049 (69.6%) zerosZeros
경상자수 has 1416 (32.3%) zerosZeros
부상신고자수 has 3814 (87.1%) zerosZeros

Reproduction

Analysis started2023-12-12 08:03:09.412834
Analysis finished2023-12-12 08:03:10.311954
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct365
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Minimum2017-01-01 00:00:00
Maximum2017-12-31 00:00:00
2023-12-12T17:03:10.409301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:03:10.638280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.67291
Minimum0
Maximum23
Zeros99
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-12T17:03:10.831942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median14
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5553708
Coefficient of variation (CV)0.40630493
Kurtosis-0.34231365
Mean13.67291
Median Absolute Deviation (MAD)4
Skewness-0.49392739
Sum59860
Variance30.862145
MonotonicityNot monotonic
2023-12-12T17:03:11.002050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 350
 
8.0%
17 334
 
7.6%
15 301
 
6.9%
16 300
 
6.9%
14 259
 
5.9%
13 258
 
5.9%
19 242
 
5.5%
8 236
 
5.4%
12 226
 
5.2%
11 224
 
5.1%
Other values (14) 1648
37.6%
ValueCountFrequency (%)
0 99
2.3%
1 65
 
1.5%
2 50
 
1.1%
3 36
 
0.8%
4 46
 
1.1%
5 57
 
1.3%
6 96
2.2%
7 149
3.4%
8 236
5.4%
9 187
4.3%
ValueCountFrequency (%)
23 112
 
2.6%
22 158
3.6%
21 179
4.1%
20 193
4.4%
19 242
5.5%
18 350
8.0%
17 334
7.6%
16 300
6.9%
15 301
6.9%
14 259
5.9%

요일
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
화
690 
월
647 
금
636 
목
630 
수
628 
Other values (2)
1147 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화 690
15.8%
월 647
14.8%
금 636
14.5%
목 630
14.4%
수 628
14.3%
토 615
14.0%
일 532
12.2%

Length

2023-12-12T17:03:11.181387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:11.371021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화 690
15.8%
월 647
14.8%
금 636
14.5%
목 630
14.4%
수 628
14.3%
토 615
14.0%
일 532
12.2%

발생지_시도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
제주
4378 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주 4378
100.0%

Length

2023-12-12T17:03:11.580379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:11.736565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 4378
100.0%

발생지_시군구
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
제주시
3031 
서귀포시
1347 

Length

Max length4
Median length3
Mean length3.3076747
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 3031
69.2%
서귀포시 1347
30.8%

Length

2023-12-12T17:03:11.919116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:12.098409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 3031
69.2%
서귀포시 1347
30.8%

사고내용
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
경상
2648 
중상
1315 
부상신고
337 
사망
 
78

Length

Max length4
Median length2
Mean length2.1539516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 2648
60.5%
중상 1315
30.0%
부상신고 337
 
7.7%
사망 78
 
1.8%

Length

2023-12-12T17:03:12.282080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:12.505144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 2648
60.5%
중상 1315
30.0%
부상신고 337
 
7.7%
사망 78
 
1.8%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
0
4300 
1
 
76
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 4300
98.2%
1 76
 
1.7%
2 2
 
< 0.1%

Length

2023-12-12T17:03:12.713380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:12.888085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4300
98.2%
1 76
 
1.7%
2 2
 
< 0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34444952
Minimum0
Maximum11
Zeros3049
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-12T17:03:13.098458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.59634293
Coefficient of variation (CV)1.7312927
Kurtosis30.288981
Mean0.34444952
Median Absolute Deviation (MAD)0
Skewness3.190905
Sum1508
Variance0.35562489
MonotonicityNot monotonic
2023-12-12T17:03:13.291199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3049
69.6%
1 1198
 
27.4%
2 104
 
2.4%
3 19
 
0.4%
4 3
 
0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
0 3049
69.6%
1 1198
 
27.4%
2 104
 
2.4%
3 19
 
0.4%
4 3
 
0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 2
 
< 0.1%
5 2
 
< 0.1%
4 3
 
0.1%
3 19
 
0.4%
2 104
 
2.4%
1 1198
 
27.4%
0 3049
69.6%

경상자수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99269073
Minimum0
Maximum19
Zeros1416
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-12T17:03:13.478760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.069844
Coefficient of variation (CV)1.0777214
Kurtosis28.099108
Mean0.99269073
Median Absolute Deviation (MAD)1
Skewness3.1773673
Sum4346
Variance1.1445662
MonotonicityNot monotonic
2023-12-12T17:03:13.657533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 2114
48.3%
0 1416
32.3%
2 550
 
12.6%
3 171
 
3.9%
4 77
 
1.8%
5 29
 
0.7%
6 12
 
0.3%
11 3
 
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 1416
32.3%
1 2114
48.3%
2 550
 
12.6%
3 171
 
3.9%
4 77
 
1.8%
5 29
 
0.7%
6 12
 
0.3%
7 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
11 3
 
0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 1
 
< 0.1%
6 12
 
0.3%
5 29
 
0.7%
4 77
1.8%
3 171
3.9%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17085427
Minimum0
Maximum14
Zeros3814
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size38.6 KiB
2023-12-12T17:03:13.827633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5791679
Coefficient of variation (CV)3.3898357
Kurtosis125.75662
Mean0.17085427
Median Absolute Deviation (MAD)0
Skewness8.1224174
Sum748
Variance0.33543546
MonotonicityNot monotonic
2023-12-12T17:03:13.984908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3814
87.1%
1 468
 
10.7%
2 56
 
1.3%
3 21
 
0.5%
4 10
 
0.2%
5 5
 
0.1%
7 1
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 3814
87.1%
1 468
 
10.7%
2 56
 
1.3%
3 21
 
0.5%
4 10
 
0.2%
5 5
 
0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
5 5
 
0.1%
4 10
 
0.2%
3 21
 
0.5%
2 56
 
1.3%
1 468
 
10.7%
0 3814
87.1%

사고유형_대분류
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
차대차
3099 
차대사람
985 
차량단독
 
294

Length

Max length4
Median length3
Mean length3.2921425
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row차대차
2nd row차량단독
3rd row차대사람
4th row차대차
5th row차대차

Common Values

ValueCountFrequency (%)
차대차 3099
70.8%
차대사람 985
 
22.5%
차량단독 294
 
6.7%

Length

2023-12-12T17:03:14.165179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:14.305771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 3099
70.8%
차대사람 985
 
22.5%
차량단독 294
 
6.7%

사고유형_중분류
Categorical

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
측면충돌
1360 
기타
1236 
추돌
685 
횡단중
516 
정면충돌
152 
Other values (9)
429 

Length

Max length10
Median length5
Mean length3.1021014
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row추돌
2nd row전도전복
3rd row기타
4th row기타
5th row측면충돌

Common Values

ValueCountFrequency (%)
측면충돌 1360
31.1%
기타 1236
28.2%
추돌 685
15.6%
횡단중 516
 
11.8%
정면충돌 152
 
3.5%
차도통행중 87
 
2.0%
전도전복 79
 
1.8%
공작물충돌 78
 
1.8%
전도 52
 
1.2%
길가장자리구역통행중 50
 
1.1%
Other values (4) 83
 
1.9%

Length

2023-12-12T17:03:14.458260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 1360
31.1%
기타 1236
28.2%
추돌 685
15.6%
횡단중 516
 
11.8%
정면충돌 152
 
3.5%
차도통행중 87
 
2.0%
전도전복 79
 
1.8%
공작물충돌 78
 
1.8%
전도 52
 
1.2%
길가장자리구역통행중 50
 
1.1%
Other values (4) 83
 
1.9%

사고유형
Categorical

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
측면충돌
1360 
기타
1236 
추돌
685 
횡단중
516 
정면충돌
152 
Other values (10)
429 

Length

Max length10
Median length7
Mean length3.1096391
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row추돌
2nd row전도전복
3rd row기타
4th row기타
5th row측면충돌

Common Values

ValueCountFrequency (%)
측면충돌 1360
31.1%
기타 1236
28.2%
추돌 685
15.6%
횡단중 516
 
11.8%
정면충돌 152
 
3.5%
차도통행중 87
 
2.0%
전도전복 79
 
1.8%
공작물충돌 78
 
1.8%
전도 52
 
1.2%
길가장자리구역통행중 50
 
1.1%
Other values (5) 83
 
1.9%

Length

2023-12-12T17:03:14.632818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 1360
31.0%
기타 1244
28.3%
추돌 685
15.6%
횡단중 516
 
11.8%
정면충돌 152
 
3.5%
차도통행중 87
 
2.0%
전도전복 79
 
1.8%
공작물충돌 78
 
1.8%
전도 52
 
1.2%
길가장자리구역통행중 50
 
1.1%
Other values (5) 86
 
2.0%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
안전운전 의무 불이행
2176 
기타
628 
안전거리 미확보
459 
신호위반
338 
교차로 통행방법 위반
335 
Other values (3)
442 

Length

Max length11
Median length11
Mean length8.6158063
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전운전 의무 불이행
2nd row안전운전 의무 불이행
3rd row보행자 보호의무 위반
4th row안전거리 미확보
5th row기타

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 2176
49.7%
기타 628
 
14.3%
안전거리 미확보 459
 
10.5%
신호위반 338
 
7.7%
교차로 통행방법 위반 335
 
7.7%
보행자 보호의무 위반 247
 
5.6%
중앙선 침범 178
 
4.1%
과속 17
 
0.4%

Length

2023-12-12T17:03:14.790734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:14.934691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 2176
20.7%
의무 2176
20.7%
불이행 2176
20.7%
기타 628
 
6.0%
위반 582
 
5.5%
안전거리 459
 
4.4%
미확보 459
 
4.4%
신호위반 338
 
3.2%
교차로 335
 
3.2%
통행방법 335
 
3.2%
Other values (5) 867
 
8.2%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
포장
4367 
비포장
 
11

Length

Max length3
Median length2
Mean length2.0025126
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포장 4367
99.7%
비포장 11
 
0.3%

Length

2023-12-12T17:03:15.087518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:15.221035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 4367
99.7%
비포장 11
 
0.3%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
건조
3869 
젖음/습기
 
321
기타
 
153
서리/결빙
 
21
적설
 
14

Length

Max length5
Median length2
Mean length2.2343536
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 3869
88.4%
젖음/습기 321
 
7.3%
기타 153
 
3.5%
서리/결빙 21
 
0.5%
적설 14
 
0.3%

Length

2023-12-12T17:03:15.356010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:15.525527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 3869
88.4%
젖음/습기 321
 
7.3%
기타 153
 
3.5%
서리/결빙 21
 
0.5%
적설 14
 
0.3%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
맑음
3751 
흐림
 
301
비
 
231
기타/불명
 
55
눈
 
34

Length

Max length5
Median length2
Mean length1.9771585
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 3751
85.7%
흐림 301
 
6.9%
비 231
 
5.3%
기타/불명 55
 
1.3%
눈 34
 
0.8%
안개 6
 
0.1%

Length

2023-12-12T17:03:15.692562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:15.867556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 3751
85.7%
흐림 301
 
6.9%
비 231
 
5.3%
기타/불명 55
 
1.3%
눈 34
 
0.8%
안개 6
 
0.1%

도로형태_대분류
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
교차로
2121 
단일로
2037 
기타
 
166
주차장
 
50
불명
 
4

Length

Max length3
Median length3
Mean length2.9611695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교차로
2nd row단일로
3rd row단일로
4th row교차로
5th row교차로

Common Values

ValueCountFrequency (%)
교차로 2121
48.4%
단일로 2037
46.5%
기타 166
 
3.8%
주차장 50
 
1.1%
불명 4
 
0.1%

Length

2023-12-12T17:03:16.122817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:16.254237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차로 2121
48.4%
단일로 2037
46.5%
기타 166
 
3.8%
주차장 50
 
1.1%
불명 4
 
0.1%

도로형태
Categorical

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
기타단일로
2032 
교차로내
1462 
교차로부근
538 
기타
 
166
교차로횡단보도내
 
121
Other values (5)
 
59

Length

Max length9
Median length5
Mean length4.6096391
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row교차로부근
2nd row기타단일로
3rd row기타단일로
4th row교차로부근
5th row교차로내

Common Values

ValueCountFrequency (%)
기타단일로 2032
46.4%
교차로내 1462
33.4%
교차로부근 538
 
12.3%
기타 166
 
3.8%
교차로횡단보도내 121
 
2.8%
주차장 50
 
1.1%
불명 4
 
0.1%
고가도로위 2
 
< 0.1%
교량위 2
 
< 0.1%
지하차도(도로)내 1
 
< 0.1%

Length

2023-12-12T17:03:16.414975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:16.565997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타단일로 2032
46.4%
교차로내 1462
33.4%
교차로부근 538
 
12.3%
기타 166
 
3.8%
교차로횡단보도내 121
 
2.8%
주차장 50
 
1.1%
불명 4
 
0.1%
고가도로위 2
 
< 0.1%
교량위 2
 
< 0.1%
지하차도(도로)내 1
 
< 0.1%

가해자차종
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
승용차
2912 
화물차
636 
이륜차
311 
승합차
 
232
자전거
 
74
Other values (8)
 
213

Length

Max length11
Median length3
Mean length3.083143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row승용차
2nd row승용차
3rd row승용차
4th row화물차
5th row승용차

Common Values

ValueCountFrequency (%)
승용차 2912
66.5%
화물차 636
 
14.5%
이륜차 311
 
7.1%
승합차 232
 
5.3%
자전거 74
 
1.7%
불명 69
 
1.6%
원동기장치자전거 46
 
1.1%
건설기계 45
 
1.0%
농기계 17
 
0.4%
사륜오토바이(ATV) 17
 
0.4%
Other values (3) 19
 
0.4%

Length

2023-12-12T17:03:16.708115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 2912
66.5%
화물차 636
 
14.5%
이륜차 311
 
7.1%
승합차 232
 
5.3%
자전거 74
 
1.7%
불명 69
 
1.6%
원동기장치자전거 46
 
1.1%
건설기계 45
 
1.0%
농기계 17
 
0.4%
사륜오토바이(atv 17
 
0.4%
Other values (3) 19
 
0.4%

가해자성별
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
남
3107 
여
1201 
기타불명
 
70

Length

Max length4
Median length1
Mean length1.0479671
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 3107
71.0%
여 1201
 
27.4%
기타불명 70
 
1.6%

Length

2023-12-12T17:03:16.816145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:16.936178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 3107
71.0%
여 1201
 
27.4%
기타불명 70
 
1.6%

가해자연령
Text

Distinct85
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2023-12-12T17:03:17.229705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9830973
Min length2

Characters and Unicode

Total characters13060
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row34세
2nd row26세
3rd row59세
4th row64세
5th row67세
ValueCountFrequency (%)
56세 118
 
2.7%
52세 109
 
2.5%
37세 105
 
2.4%
45세 104
 
2.4%
57세 102
 
2.3%
48세 102
 
2.3%
47세 99
 
2.3%
54세 96
 
2.2%
34세 95
 
2.2%
55세 95
 
2.2%
Other values (75) 3353
76.6%
2023-12-12T17:03:18.033986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 4308
33.0%
5 1409
 
10.8%
4 1316
 
10.1%
3 1177
 
9.0%
2 1166
 
8.9%
6 1015
 
7.8%
7 724
 
5.5%
1 538
 
4.1%
8 499
 
3.8%
0 384
 
2.9%
Other values (3) 524
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8612
65.9%
Other Letter 4448
34.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1409
16.4%
4 1316
15.3%
3 1177
13.7%
2 1166
13.5%
6 1015
11.8%
7 724
8.4%
1 538
 
6.2%
8 499
 
5.8%
0 384
 
4.5%
9 384
 
4.5%
Other Letter
ValueCountFrequency (%)
세 4308
96.9%
불 70
 
1.6%
명 70
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 8612
65.9%
Hangul 4448
34.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1409
16.4%
4 1316
15.3%
3 1177
13.7%
2 1166
13.5%
6 1015
11.8%
7 724
8.4%
1 538
 
6.2%
8 499
 
5.8%
0 384
 
4.5%
9 384
 
4.5%
Hangul
ValueCountFrequency (%)
세 4308
96.9%
불 70
 
1.6%
명 70
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8612
65.9%
Hangul 4448
34.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 4308
96.9%
불 70
 
1.6%
명 70
 
1.6%
ASCII
ValueCountFrequency (%)
5 1409
16.4%
4 1316
15.3%
3 1177
13.7%
2 1166
13.5%
6 1015
11.8%
7 724
8.4%
1 538
 
6.2%
8 499
 
5.8%
0 384
 
4.5%
9 384
 
4.5%

가해자신체상해정도
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
상해없음
3149 
경상
602 
부상신고
 
246
중상
 
220
기타불명
 
136

Length

Max length4
Median length4
Mean length3.6130653
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상해없음
2nd row경상
3rd row상해없음
4th row상해없음
5th row상해없음

Common Values

ValueCountFrequency (%)
상해없음 3149
71.9%
경상 602
 
13.8%
부상신고 246
 
5.6%
중상 220
 
5.0%
기타불명 136
 
3.1%
사망 25
 
0.6%

Length

2023-12-12T17:03:18.233538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:18.424754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 3149
71.9%
경상 602
 
13.8%
부상신고 246
 
5.6%
중상 220
 
5.0%
기타불명 136
 
3.1%
사망 25
 
0.6%

피해차종
Categorical

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
승용차
2072 
보행자
985 
화물차
355 
이륜차
324 
없음
294 
Other values (10)
348 

Length

Max length11
Median length3
Mean length3.0041115
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row승용차
2nd row없음
3rd row보행자
4th row승용차
5th row화물차

Common Values

ValueCountFrequency (%)
승용차 2072
47.3%
보행자 985
22.5%
화물차 355
 
8.1%
이륜차 324
 
7.4%
없음 294
 
6.7%
승합차 133
 
3.0%
자전거 98
 
2.2%
원동기장치자전거 42
 
1.0%
농기계 28
 
0.6%
건설기계 24
 
0.5%
Other values (5) 23
 
0.5%

Length

2023-12-12T17:03:18.608552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 2072
47.3%
보행자 985
22.5%
화물차 355
 
8.1%
이륜차 324
 
7.4%
없음 294
 
6.7%
승합차 133
 
3.0%
자전거 98
 
2.2%
원동기장치자전거 42
 
1.0%
농기계 28
 
0.6%
건설기계 24
 
0.5%
Other values (5) 23
 
0.5%

피해자성별
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
남
2655 
여
1427 
없음
294 
기타불명
 
2

Length

Max length4
Median length1
Mean length1.0685244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남
2nd row없음
3rd row남
4th row남
5th row남

Common Values

ValueCountFrequency (%)
남 2655
60.6%
여 1427
32.6%
없음 294
 
6.7%
기타불명 2
 
< 0.1%

Length

2023-12-12T17:03:18.799766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:19.000640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 2655
60.6%
여 1427
32.6%
없음 294
 
6.7%
기타불명 2
 
< 0.1%

피해자연령
Text

Distinct95
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
2023-12-12T17:03:19.284078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9132024
Min length2

Characters and Unicode

Total characters12754
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row21세
2nd row불명
3rd row21세
4th row53세
5th row62세
ValueCountFrequency (%)
불명 297
 
6.8%
46세 104
 
2.4%
51세 103
 
2.4%
45세 99
 
2.3%
47세 95
 
2.2%
35세 93
 
2.1%
48세 92
 
2.1%
43세 92
 
2.1%
44세 91
 
2.1%
52세 90
 
2.1%
Other values (85) 3222
73.6%
2023-12-12T17:03:19.715938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 4081
32.0%
4 1318
 
10.3%
5 1258
 
9.9%
3 1126
 
8.8%
2 1006
 
7.9%
6 893
 
7.0%
7 667
 
5.2%
1 559
 
4.4%
8 495
 
3.9%
0 384
 
3.0%
Other values (3) 967
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8079
63.3%
Other Letter 4675
36.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1318
16.3%
5 1258
15.6%
3 1126
13.9%
2 1006
12.5%
6 893
11.1%
7 667
8.3%
1 559
6.9%
8 495
 
6.1%
0 384
 
4.8%
9 373
 
4.6%
Other Letter
ValueCountFrequency (%)
세 4081
87.3%
불 297
 
6.4%
명 297
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
Common 8079
63.3%
Hangul 4675
36.7%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1318
16.3%
5 1258
15.6%
3 1126
13.9%
2 1006
12.5%
6 893
11.1%
7 667
8.3%
1 559
6.9%
8 495
 
6.1%
0 384
 
4.8%
9 373
 
4.6%
Hangul
ValueCountFrequency (%)
세 4081
87.3%
불 297
 
6.4%
명 297
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8079
63.3%
Hangul 4675
36.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 4081
87.3%
불 297
 
6.4%
명 297
 
6.4%
ASCII
ValueCountFrequency (%)
4 1318
16.3%
5 1258
15.6%
3 1126
13.9%
2 1006
12.5%
6 893
11.1%
7 667
8.3%
1 559
6.9%
8 495
 
6.1%
0 384
 
4.8%
9 373
 
4.6%

피해자신체상해정도
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
경상
2193 
중상
884 
상해없음
714 
없음
294 
부상신고
 
216
Other values (2)
 
77

Length

Max length4
Median length2
Mean length2.4394701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상
2nd row없음
3rd row경상
4th row경상
5th row경상

Common Values

ValueCountFrequency (%)
경상 2193
50.1%
중상 884
20.2%
상해없음 714
 
16.3%
없음 294
 
6.7%
부상신고 216
 
4.9%
사망 45
 
1.0%
기타불명 32
 
0.7%

Length

2023-12-12T17:03:19.895050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:03:20.072006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 2193
50.1%
중상 884
20.2%
상해없음 714
 
16.3%
없음 294
 
6.7%
부상신고 216
 
4.9%
사망 45
 
1.0%
기타불명 32
 
0.7%

Sample

발생일발생시간요일발생지_시도발생지_시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자성별가해자연령가해자신체상해정도피해차종피해자성별피해자연령피해자신체상해정도
02017-01-010일제주제주시경상0010차대차추돌추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남34세상해없음승용차남21세경상
12017-01-013일제주제주시경상0030차량단독전도전복전도전복안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남26세경상없음없음불명없음
22017-01-018일제주제주시경상0010차대사람기타기타보행자 보호의무 위반포장건조맑음단일로기타단일로승용차남59세상해없음보행자남21세경상
32017-01-0110일제주제주시경상0010차대차기타기타안전거리 미확보포장건조맑음교차로교차로부근화물차남64세상해없음승용차남53세경상
42017-01-0110일제주제주시경상0010차대차측면충돌측면충돌기타포장건조맑음교차로교차로내승용차남67세상해없음화물차남62세경상
52017-01-0111일제주서귀포시경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음주차장주차장화물차남76세상해없음원동기장치자전거여62세경상
62017-01-0115일제주제주시부상신고0001차대차기타기타안전운전 의무 불이행포장건조맑음기타기타승용차남29세상해없음승용차남25세부상신고
72017-01-0118일제주제주시중상0100차대사람차도통행중차도통행중보행자 보호의무 위반포장건조기타/불명단일로기타단일로승용차남42세상해없음보행자남70세중상
82017-01-0118일제주서귀포시사망1110차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남30세경상화물차남39세기타불명
92017-01-0121일제주서귀포시중상0100차량단독전도전복전도전복안전운전 의무 불이행포장건조맑음교차로교차로내승용차남48세중상없음없음불명없음
발생일발생시간요일발생지_시도발생지_시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자성별가해자연령가해자신체상해정도피해차종피해자성별피해자연령피해자신체상해정도
43682017-12-3011토제주서귀포시경상0010차대차기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차여24세상해없음이륜차남39세경상
43692017-12-3012토제주제주시경상0010차대차측면충돌측면충돌기타포장건조흐림단일로기타단일로승용차남27세경상승용차남37세상해없음
43702017-12-3017토제주서귀포시중상0100차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행포장건조맑음교차로교차로내화물차남55세상해없음보행자여87세중상
43712017-12-3019토제주제주시경상0020차대차기타기타신호위반포장건조흐림교차로교차로내승용차여34세경상승용차남69세경상
43722017-12-3021토제주제주시경상0010차대사람횡단중횡단중보행자 보호의무 위반포장젖음/습기비교차로교차로횡단보도내화물차남26세상해없음보행자여58세경상
43732017-12-3022토제주제주시경상0021차대차추돌추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남41세상해없음승용차남45세경상
43742017-12-317일제주제주시사망1000차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남59세상해없음보행자남37세사망
43752017-12-3115일제주서귀포시경상0030차대차추돌추돌안전거리 미확보포장건조맑음단일로기타단일로승용차남56세상해없음승용차남31세경상
43762017-12-3117일제주제주시중상0100차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로내승용차남72세상해없음이륜차남52세중상
43772017-12-3118일제주제주시경상0020차대사람횡단중횡단중보행자 보호의무 위반포장건조기타/불명교차로교차로횡단보도내승용차남49세상해없음보행자여47세경상