Overview

Dataset statistics

Number of variables31
Number of observations1773
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory448.6 KiB
Average record size in memory259.1 B

Variable types

Categorical22
DateTime1
Text2
Numeric6

Dataset

Description교통 안전 데이터로서 어린이 등하교 및 초등학교 주변 사각지대, 위험요소 데이터 제공합니다. (출처: 공공데이터포털, https://www.data.go.kr/data/15076627/fileData.do)
Author백수빈
URLhttps://www.jejudatahub.net/data/view/data/875

Alerts

사고번호 has constant value ""Constant
피해운전자 has constant value ""Constant
데이터기준일자 has constant value ""Constant
사망자수 is highly imbalanced (84.6%)Imbalance
부상신고자 is highly imbalanced (61.0%)Imbalance
법규위반 is highly imbalanced (56.9%)Imbalance
노면상태 is highly imbalanced (75.3%)Imbalance
기상상태 is highly imbalanced (66.1%)Imbalance
가해운전자 is highly imbalanced (59.6%)Imbalance
가해운전_부상 is highly imbalanced (82.9%)Imbalance
경도 has unique valuesUnique
가해운전_나이 has 61 (3.4%) zerosZeros

Reproduction

Analysis started2023-12-11 20:04:35.713814
Analysis finished2023-12-11 20:04:36.215324
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사고번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2020000000000000
1773 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020000000000000
2nd row2020000000000000
3rd row2020000000000000
4th row2020000000000000
5th row2020000000000000

Common Values

ValueCountFrequency (%)
2020000000000000 1773
100.0%

Length

2023-12-12T05:04:36.307617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:36.409431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020000000000000 1773
100.0%

발생일시
Date

Distinct662
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2018-01-01 00:00:00
Maximum2019-12-31 00:00:00
2023-12-12T05:04:36.498021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:04:36.616132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Categorical

Distinct24
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
18:00
172 
19:00
152 
17:00
125 
20:00
 
106
21:00
 
102
Other values (19)
1116 

Length

Max length5
Median length5
Mean length4.7828539
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6:00
2nd row20:00
3rd row3:00
4th row8:00
5th row14:00

Common Values

ValueCountFrequency (%)
18:00 172
 
9.7%
19:00 152
 
8.6%
17:00 125
 
7.1%
20:00 106
 
6.0%
21:00 102
 
5.8%
14:00 97
 
5.5%
15:00 95
 
5.4%
16:00 92
 
5.2%
11:00 89
 
5.0%
8:00 82
 
4.6%
Other values (14) 661
37.3%

Length

2023-12-12T05:04:36.734562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 172
 
9.7%
19:00 152
 
8.6%
17:00 125
 
7.1%
20:00 106
 
6.0%
21:00 102
 
5.8%
14:00 97
 
5.5%
15:00 95
 
5.4%
16:00 92
 
5.2%
11:00 89
 
5.0%
8:00 82
 
4.6%
Other values (14) 661
37.3%

발생요일
Categorical

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
목
284 
화
280 
월
273 
수
257 
금
253 
Other values (2)
426 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화
2nd row수
3rd row토
4th row월
5th row수

Common Values

ValueCountFrequency (%)
목 284
16.0%
화 280
15.8%
월 273
15.4%
수 257
14.5%
금 253
14.3%
토 239
13.5%
일 187
10.5%

Length

2023-12-12T05:04:36.830315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:36.930012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목 284
16.0%
화 280
15.8%
월 273
15.4%
수 257
14.5%
금 253
14.3%
토 239
13.5%
일 187
10.5%

시
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
제주시
1329 
서귀포시
444 

Length

Max length4
Median length3
Mean length3.250423
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 1329
75.0%
서귀포시 444
 
25.0%

Length

2023-12-12T05:04:37.246194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:37.323333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 1329
75.0%
서귀포시 444
 
25.0%

읍면동
Text

Distinct68
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2023-12-12T05:04:37.502820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2639594
Min length2

Characters and Unicode

Total characters5787
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row하효동
2nd row동홍동
3rd row서귀동
4th row안덕면
5th row서귀동
ValueCountFrequency (%)
연동 214
 
12.1%
노형동 147
 
8.3%
이도이동 128
 
7.2%
서귀동 122
 
6.9%
일도이동 94
 
5.3%
애월읍 69
 
3.9%
이도일동 67
 
3.8%
동홍동 65
 
3.7%
한림읍 52
 
2.9%
삼도일동 50
 
2.8%
Other values (58) 765
43.1%
2023-12-12T05:04:37.809919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1489
25.7%
이 565
 
9.8%
도 507
 
8.8%
일 430
 
7.4%
읍 273
 
4.7%
연 214
 
3.7%
서 151
 
2.6%
형 147
 
2.5%
노 147
 
2.5%
귀 122
 
2.1%
Other values (62) 1742
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5787
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1489
25.7%
이 565
 
9.8%
도 507
 
8.8%
일 430
 
7.4%
읍 273
 
4.7%
연 214
 
3.7%
서 151
 
2.6%
형 147
 
2.5%
노 147
 
2.5%
귀 122
 
2.1%
Other values (62) 1742
30.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5787
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1489
25.7%
이 565
 
9.8%
도 507
 
8.8%
일 430
 
7.4%
읍 273
 
4.7%
연 214
 
3.7%
서 151
 
2.6%
형 147
 
2.5%
노 147
 
2.5%
귀 122
 
2.1%
Other values (62) 1742
30.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5787
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1489
25.7%
이 565
 
9.8%
도 507
 
8.8%
일 430
 
7.4%
읍 273
 
4.7%
연 214
 
3.7%
서 151
 
2.6%
형 147
 
2.5%
노 147
 
2.5%
귀 122
 
2.1%
Other values (62) 1742
30.1%

사고내용
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
경상사고
869 
중상사고
711 
부상신고사고
124 
사망사고
 
69

Length

Max length6
Median length4
Mean length4.1398759
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사망사고
2nd row경상사고
3rd row중상사고
4th row사망사고
5th row경상사고

Common Values

ValueCountFrequency (%)
경상사고 869
49.0%
중상사고 711
40.1%
부상신고사고 124
 
7.0%
사망사고 69
 
3.9%

Length

2023-12-12T05:04:38.015637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:38.139893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상사고 869
49.0%
중상사고 711
40.1%
부상신고사고 124
 
7.0%
사망사고 69
 
3.9%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1704 
1
 
67
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1704
96.1%
1 67
 
3.8%
2 2
 
0.1%

Length

2023-12-12T05:04:38.274424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:38.469960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1704
96.1%
1 67
 
3.8%
2 2
 
0.1%

중상자수
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1057 
1
702 
2
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1057
59.6%
1 702
39.6%
2 14
 
0.8%

Length

2023-12-12T05:04:38.689542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:38.887924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1057
59.6%
1 702
39.6%
2 14
 
0.8%

경상자수
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
876 
1
867 
2
 
29
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 876
49.4%
1 867
48.9%
2 29
 
1.6%
3 1
 
0.1%

Length

2023-12-12T05:04:39.072257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:39.222245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 876
49.4%
1 867
48.9%
2 29
 
1.6%
3 1
 
0.1%

부상신고자
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
0
1637 
1
 
136

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1637
92.3%
1 136
 
7.7%

Length

2023-12-12T05:04:39.397751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:39.527126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1637
92.3%
1 136
 
7.7%

사고유형
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
기타
892 
횡단중
663 
차도통행중
108 
길가장자리구역통행중
 
64
보도통행중
 
46

Length

Max length10
Median length2
Mean length2.9232939
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row횡단중
2nd row기타
3rd row기타
4th row기타
5th row횡단중

Common Values

ValueCountFrequency (%)
기타 892
50.3%
횡단중 663
37.4%
차도통행중 108
 
6.1%
길가장자리구역통행중 64
 
3.6%
보도통행중 46
 
2.6%

Length

2023-12-12T05:04:39.707765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:39.875395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 892
50.3%
횡단중 663
37.4%
차도통행중 108
 
6.1%
길가장자리구역통행중 64
 
3.6%
보도통행중 46
 
2.6%

법규위반
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
안전운전불이행
1162 
보행자보호의무위반
444 
기타
 
61
신호위반
 
53
중앙선침범
 
27
Other values (5)
 
26

Length

Max length9
Median length7
Mean length7.178229
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전운전불이행
2nd row안전운전불이행
3rd row안전운전불이행
4th row안전운전불이행
5th row보행자보호의무위반

Common Values

ValueCountFrequency (%)
안전운전불이행 1162
65.5%
보행자보호의무위반 444
 
25.0%
기타 61
 
3.4%
신호위반 53
 
3.0%
중앙선침범 27
 
1.5%
과속 9
 
0.5%
교차로운행방법위반 8
 
0.5%
미분류 4
 
0.2%
불법유턴 3
 
0.2%
안전거리미확보 2
 
0.1%

Length

2023-12-12T05:04:40.082926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:40.315089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전불이행 1162
65.5%
보행자보호의무위반 444
 
25.0%
기타 61
 
3.4%
신호위반 53
 
3.0%
중앙선침범 27
 
1.5%
과속 9
 
0.5%
교차로운행방법위반 8
 
0.5%
미분류 4
 
0.2%
불법유턴 3
 
0.2%
안전거리미확보 2
 
0.1%

노면상태
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
포장 - 건조
1538 
포장 - 젖음/습기
184 
포장 - 기타
 
42
포장 - 서리/결빙
 
4
포장 - 적설
 
3
Other values (2)
 
2

Length

Max length11
Median length7
Mean length7.320925
Min length7

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row포장 - 건조
2nd row포장 - 건조
3rd row포장 - 건조
4th row포장 - 젖음/습기
5th row포장 - 젖음/습기

Common Values

ValueCountFrequency (%)
포장 - 건조 1538
86.7%
포장 - 젖음/습기 184
 
10.4%
포장 - 기타 42
 
2.4%
포장 - 서리/결빙 4
 
0.2%
포장 - 적설 3
 
0.2%
비포장 - 건조 1
 
0.1%
비포장 - 젖음/습기 1
 
0.1%

Length

2023-12-12T05:04:40.534706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:40.688233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1773
33.3%
포장 1771
33.3%
건조 1539
28.9%
젖음/습기 185
 
3.5%
기타 42
 
0.8%
서리/결빙 4
 
0.1%
적설 3
 
0.1%
비포장 2
 
< 0.1%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
맑음
1496 
비
 
145
흐림
 
87
기타
 
34
눈
 
8

Length

Max length2
Median length2
Mean length1.9137056
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 1496
84.4%
비 145
 
8.2%
흐림 87
 
4.9%
기타 34
 
1.9%
눈 8
 
0.5%
안개 3
 
0.2%

Length

2023-12-12T05:04:40.867095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:41.001446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 1496
84.4%
비 145
 
8.2%
흐림 87
 
4.9%
기타 34
 
1.9%
눈 8
 
0.5%
안개 3
 
0.2%

도로형태
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
단일로 - 기타
956 
교차로 - 교차로횡단보도내
270 
교차로 - 교차로안
239 
교차로 - 교차로부근
181 
기타 - 기타
102 
Other values (3)
 
25

Length

Max length15
Median length8
Mean length9.4495206
Min length7

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row교차로 - 교차로부근
2nd row교차로 - 교차로부근
3rd row단일로 - 기타
4th row교차로 - 교차로안
5th row교차로 - 교차로횡단보도내

Common Values

ValueCountFrequency (%)
단일로 - 기타 956
53.9%
교차로 - 교차로횡단보도내 270
 
15.2%
교차로 - 교차로안 239
 
13.5%
교차로 - 교차로부근 181
 
10.2%
기타 - 기타 102
 
5.8%
주차장 - 주차장 23
 
1.3%
단일로 - 지하차도(도로)내 1
 
0.1%
미분류 - 미분류 1
 
0.1%

Length

2023-12-12T05:04:41.166322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:41.312258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1773
33.3%
기타 1160
21.8%
단일로 957
18.0%
교차로 690
 
13.0%
교차로횡단보도내 270
 
5.1%
교차로안 239
 
4.5%
교차로부근 181
 
3.4%
주차장 46
 
0.9%
미분류 2
 
< 0.1%
지하차도(도로)내 1
 
< 0.1%

가해운전자
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
승용
1292 
화물
225 
승합
 
116
기타불명
 
62
이륜
 
58
Other values (6)
 
20

Length

Max length11
Median length2
Mean length2.0908065
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
승용 1292
72.9%
화물 225
 
12.7%
승합 116
 
6.5%
기타불명 62
 
3.5%
이륜 58
 
3.3%
자전거 7
 
0.4%
원동기 5
 
0.3%
건설기계 3
 
0.2%
특수 2
 
0.1%
사륜오토바이(ATV) 2
 
0.1%

Length

2023-12-12T05:04:41.452333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용 1292
72.9%
화물 225
 
12.7%
승합 116
 
6.5%
기타불명 62
 
3.5%
이륜 58
 
3.3%
자전거 7
 
0.4%
원동기 5
 
0.3%
건설기계 3
 
0.2%
특수 2
 
0.1%
사륜오토바이(atv 2
 
0.1%

가해운전_성별
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
남
1172 
여
540 
기타불명
 
61

Length

Max length4
Median length1
Mean length1.1032149
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 1172
66.1%
여 540
30.5%
기타불명 61
 
3.4%

Length

2023-12-12T05:04:41.641502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:41.759781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 1172
66.1%
여 540
30.5%
기타불명 61
 
3.4%

가해운전_나이
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.839255
Minimum0
Maximum90
Zeros61
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:41.877908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.6
Q133
median47
Q358
95-th percentile70
Maximum90
Range90
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.950585
Coefficient of variation (CV)0.37803003
Kurtosis0.028950007
Mean44.839255
Median Absolute Deviation (MAD)12
Skewness-0.41320656
Sum79500
Variance287.32234
MonotonicityNot monotonic
2023-12-12T05:04:42.006255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
3.4%
59 51
 
2.9%
46 50
 
2.8%
47 47
 
2.7%
60 47
 
2.7%
50 44
 
2.5%
54 43
 
2.4%
49 42
 
2.4%
53 41
 
2.3%
57 40
 
2.3%
Other values (66) 1307
73.7%
ValueCountFrequency (%)
0 61
3.4%
12 1
 
0.1%
13 1
 
0.1%
14 1
 
0.1%
15 2
 
0.1%
17 3
 
0.2%
18 7
 
0.4%
19 13
 
0.7%
20 9
 
0.5%
21 19
 
1.1%
ValueCountFrequency (%)
90 1
 
0.1%
89 1
 
0.1%
86 2
0.1%
85 1
 
0.1%
83 1
 
0.1%
82 2
0.1%
81 3
0.2%
80 3
0.2%
79 3
0.2%
78 3
0.2%

가해운전_부상
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
상해없음
1663 
기타불명
 
89
부상신고
 
8
경상
 
8
중상
 
5

Length

Max length4
Median length4
Mean length3.9853356
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 1663
93.8%
기타불명 89
 
5.0%
부상신고 8
 
0.5%
경상 8
 
0.5%
중상 5
 
0.3%

Length

2023-12-12T05:04:42.125837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:42.224948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 1663
93.8%
기타불명 89
 
5.0%
부상신고 8
 
0.5%
경상 8
 
0.5%
중상 5
 
0.3%

피해운전자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
보행자
1773 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보행자 1773
100.0%

Length

2023-12-12T05:04:42.318232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:42.400819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보행자 1773
100.0%

피해운전_성별
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
남
957 
여
816 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 957
54.0%
여 816
46.0%

Length

2023-12-12T05:04:42.482953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:42.582376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 957
54.0%
여 816
46.0%

피해운전_나이
Real number (ℝ)

Distinct97
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.323745
Minimum0
Maximum98
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:42.710610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q127
median49
Q364
95-th percentile80
Maximum98
Range98
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.646416
Coefficient of variation (CV)0.48887273
Kurtosis-0.94544647
Mean46.323745
Median Absolute Deviation (MAD)18
Skewness-0.17058649
Sum82132
Variance512.86014
MonotonicityNot monotonic
2023-12-12T05:04:42.858727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 40
 
2.3%
59 37
 
2.1%
54 35
 
2.0%
49 34
 
1.9%
48 33
 
1.9%
60 33
 
1.9%
64 32
 
1.8%
7 32
 
1.8%
57 30
 
1.7%
27 30
 
1.7%
Other values (87) 1437
81.0%
ValueCountFrequency (%)
0 2
 
0.1%
1 2
 
0.1%
2 3
 
0.2%
3 7
 
0.4%
4 7
 
0.4%
5 15
0.8%
6 20
1.1%
7 32
1.8%
8 25
1.4%
9 16
0.9%
ValueCountFrequency (%)
98 1
 
0.1%
97 1
 
0.1%
96 1
 
0.1%
95 1
 
0.1%
94 2
 
0.1%
92 1
 
0.1%
90 1
 
0.1%
89 2
 
0.1%
88 4
0.2%
87 7
0.4%

피해운전_부상
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
경상
875 
중상
701 
부상신고
125 
사망
 
69
상해없음
 
3

Length

Max length4
Median length2
Mean length2.144388
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 875
49.4%
중상 701
39.5%
부상신고 125
 
7.1%
사망 69
 
3.9%
상해없음 3
 
0.2%

Length

2023-12-12T05:04:43.018169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:43.161923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 875
49.4%
중상 701
39.5%
부상신고 125
 
7.1%
사망 69
 
3.9%
상해없음 3
 
0.2%

피해연령
Real number (ℝ)

Distinct97
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.323745
Minimum0
Maximum98
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:43.293520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q127
median49
Q364
95-th percentile80
Maximum98
Range98
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.646416
Coefficient of variation (CV)0.48887273
Kurtosis-0.94544647
Mean46.323745
Median Absolute Deviation (MAD)18
Skewness-0.17058649
Sum82132
Variance512.86014
MonotonicityNot monotonic
2023-12-12T05:04:43.451753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 40
 
2.3%
59 37
 
2.1%
54 35
 
2.0%
49 34
 
1.9%
48 33
 
1.9%
60 33
 
1.9%
64 32
 
1.8%
7 32
 
1.8%
57 30
 
1.7%
27 30
 
1.7%
Other values (87) 1437
81.0%
ValueCountFrequency (%)
0 2
 
0.1%
1 2
 
0.1%
2 3
 
0.2%
3 7
 
0.4%
4 7
 
0.4%
5 15
0.8%
6 20
1.1%
7 32
1.8%
8 25
1.4%
9 16
0.9%
ValueCountFrequency (%)
98 1
 
0.1%
97 1
 
0.1%
96 1
 
0.1%
95 1
 
0.1%
94 2
 
0.1%
92 1
 
0.1%
90 1
 
0.1%
89 2
 
0.1%
88 4
0.2%
87 7
0.4%

피해연령대
Categorical

Distinct14
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
50대
297 
60대
255 
40대
244 
20대
202 
70대
201 
Other values (9)
574 

Length

Max length5
Median length3
Mean length3.144388
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row90대이상
2nd row20대
3rd row40대
4th row60대
5th row30대

Common Values

ValueCountFrequency (%)
50대 297
16.8%
60대 255
14.4%
40대 244
13.8%
20대 202
11.4%
70대 201
11.3%
30대 191
10.8%
초등학생 116
 
6.5%
80대 102
 
5.8%
7세이하 86
 
4.9%
고등학생 38
 
2.1%
Other values (4) 41
 
2.3%

Length

2023-12-12T05:04:43.687741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
50대 297
16.8%
60대 255
14.4%
40대 244
13.8%
20대 202
11.4%
70대 201
11.3%
30대 191
10.8%
초등학생 116
 
6.5%
80대 102
 
5.8%
7세이하 86
 
4.9%
고등학생 38
 
2.1%
Other values (4) 41
 
2.3%

위도
Real number (ℝ)

Distinct1770
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.436911
Minimum33.217477
Maximum33.961651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:43.869008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.217477
5-th percentile33.24786
Q133.409344
median33.487591
Q333.502479
95-th percentile33.518333
Maximum33.961651
Range0.74417398
Interquartile range (IQR)0.0931353

Descriptive statistics

Standard deviation0.10180325
Coefficient of variation (CV)0.0030446367
Kurtosis-0.14746042
Mean33.436911
Median Absolute Deviation (MAD)0.01970557
Skewness-1.0343138
Sum59283.644
Variance0.010363901
MonotonicityNot monotonic
2023-12-12T05:04:44.044559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.487756 2
 
0.1%
33.499594 2
 
0.1%
33.498475 2
 
0.1%
33.489952 1
 
0.1%
33.496083 1
 
0.1%
33.409344 1
 
0.1%
33.500812 1
 
0.1%
33.502905 1
 
0.1%
33.481929 1
 
0.1%
33.482034 1
 
0.1%
Other values (1760) 1760
99.3%
ValueCountFrequency (%)
33.21747702 1
0.1%
33.2181995 1
0.1%
33.22051423 1
0.1%
33.22059724 1
0.1%
33.22104197 1
0.1%
33.22141759 1
0.1%
33.22150404 1
0.1%
33.22153795 1
0.1%
33.22153869 1
0.1%
33.22248225 1
0.1%
ValueCountFrequency (%)
33.961651 1
0.1%
33.55605599 1
0.1%
33.555776 1
0.1%
33.555666 1
0.1%
33.55528673 1
0.1%
33.555029 1
0.1%
33.554607 1
0.1%
33.553489 1
0.1%
33.55341 1
0.1%
33.552905 1
0.1%

경도
Real number (ℝ)

UNIQUE 

Distinct1773
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52126
Minimum126.1665
Maximum126.96817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:44.266662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.1665
5-th percentile126.27971
Q1126.48603
median126.5246
Q3126.55933
95-th percentile126.78007
Maximum126.96817
Range0.8016657
Interquartile range (IQR)0.0732987

Descriptive statistics

Standard deviation0.11952838
Coefficient of variation (CV)0.00094472961
Kurtosis3.4627832
Mean126.52126
Median Absolute Deviation (MAD)0.0367555
Skewness0.72075099
Sum224322.2
Variance0.014287034
MonotonicityNot monotonic
2023-12-12T05:04:45.156312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6206378 1
 
0.1%
126.3512133 1
 
0.1%
126.5362503 1
 
0.1%
126.472812 1
 
0.1%
126.5287574 1
 
0.1%
126.2640752 1
 
0.1%
126.5489221 1
 
0.1%
126.5337518 1
 
0.1%
126.4686508 1
 
0.1%
126.3975298 1
 
0.1%
Other values (1763) 1763
99.4%
ValueCountFrequency (%)
126.1665041 1
0.1%
126.1685903 1
0.1%
126.175242 1
0.1%
126.1794965 1
0.1%
126.1831676 1
0.1%
126.1835683 1
0.1%
126.1861454 1
0.1%
126.1865489 1
0.1%
126.1886593 1
0.1%
126.1970113 1
0.1%
ValueCountFrequency (%)
126.9681698 1
0.1%
126.9673428 1
0.1%
126.965915 1
0.1%
126.9646158 1
0.1%
126.9585185 1
0.1%
126.9575272 1
0.1%
126.9533882 1
0.1%
126.9514126 1
0.1%
126.9511011 1
0.1%
126.9434418 1
0.1%

법정동코드
Real number (ℝ)

Distinct152
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0115153 × 109
Minimum5.0110101 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.7 KiB
2023-12-12T05:04:45.413571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0110101 × 109
5-th percentile5.0110102 × 109
Q15.0110108 × 109
median5.011013 × 109
Q35.0130101 × 109
95-th percentile5.0130253 × 109
Maximum5.013032 × 109
Range2021925
Interquartile range (IQR)1999300

Descriptive statistics

Standard deviation867745.45
Coefficient of variation (CV)0.00017315032
Kurtosis-0.67096267
Mean5.0115153 × 109
Median Absolute Deviation (MAD)2600
Skewness1.1530482
Sum8.8854166 × 1012
Variance7.5298217 × 1011
MonotonicityNot monotonic
2023-12-12T05:04:45.667184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011013700 214
 
12.1%
5011012200 147
 
8.3%
5011010400 128
 
7.2%
5013010100 122
 
6.9%
5011010200 94
 
5.3%
5011010300 67
 
3.8%
5013010500 65
 
3.7%
5011010500 50
 
2.8%
5011010900 39
 
2.2%
5011010600 34
 
1.9%
Other values (142) 813
45.9%
ValueCountFrequency (%)
5011010100 31
 
1.7%
5011010200 94
5.3%
5011010300 67
3.8%
5011010400 128
7.2%
5011010500 50
 
2.8%
5011010600 34
 
1.9%
5011010700 30
 
1.7%
5011010800 21
 
1.2%
5011010900 39
 
2.2%
5011011000 11
 
0.6%
ValueCountFrequency (%)
5013032025 1
 
0.1%
5013032024 2
 
0.1%
5013032023 3
 
0.2%
5013032022 1
 
0.1%
5013032021 22
1.2%
5013031028 3
 
0.2%
5013031027 2
 
0.1%
5013031026 2
 
0.1%
5013031025 5
 
0.3%
5013031024 1
 
0.1%

도로명
Text

Distinct346
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2023-12-12T05:04:46.140321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.6976875
Min length2

Characters and Unicode

Total characters8329
Distinct characters195
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

Unique137 ?
Unique (%)7.7%

Sample

1st row지방도1132호선
2nd row태평로537번길
3rd row중앙로
4th row동광로
5th row중앙로
ValueCountFrequency (%)
없음 198
 
11.2%
지방도1132호선 152
 
8.6%
지방도1136호선 86
 
4.9%
지방도1131호선 75
 
4.2%
중앙로 50
 
2.8%
태평로 29
 
1.6%
관덕로 29
 
1.6%
연삼로 27
 
1.5%
중정로 26
 
1.5%
신광로 24
 
1.4%
Other values (336) 1077
60.7%
2023-12-12T05:04:46.678664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 1058
 
12.7%
1 951
 
11.4%
도 409
 
4.9%
선 407
 
4.9%
지 401
 
4.8%
방 394
 
4.7%
호 390
 
4.7%
3 362
 
4.3%
길 256
 
3.1%
2 229
 
2.7%
Other values (185) 3472
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6465
77.6%
Decimal Number 1864
 
22.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1058
16.4%
도 409
 
6.3%
선 407
 
6.3%
지 401
 
6.2%
방 394
 
6.1%
호 390
 
6.0%
길 256
 
4.0%
음 198
 
3.1%
없 198
 
3.1%
신 150
 
2.3%
Other values (175) 2604
40.3%
Decimal Number
ValueCountFrequency (%)
1 951
51.0%
3 362
 
19.4%
2 229
 
12.3%
6 115
 
6.2%
9 56
 
3.0%
4 39
 
2.1%
5 36
 
1.9%
7 31
 
1.7%
0 31
 
1.7%
8 14
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6465
77.6%
Common 1864
 
22.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1058
16.4%
도 409
 
6.3%
선 407
 
6.3%
지 401
 
6.2%
방 394
 
6.1%
호 390
 
6.0%
길 256
 
4.0%
음 198
 
3.1%
없 198
 
3.1%
신 150
 
2.3%
Other values (175) 2604
40.3%
Common
ValueCountFrequency (%)
1 951
51.0%
3 362
 
19.4%
2 229
 
12.3%
6 115
 
6.2%
9 56
 
3.0%
4 39
 
2.1%
5 36
 
1.9%
7 31
 
1.7%
0 31
 
1.7%
8 14
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6465
77.6%
ASCII 1864
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 1058
16.4%
도 409
 
6.3%
선 407
 
6.3%
지 401
 
6.2%
방 394
 
6.1%
호 390
 
6.0%
길 256
 
4.0%
음 198
 
3.1%
없 198
 
3.1%
신 150
 
2.3%
Other values (175) 2604
40.3%
ASCII
ValueCountFrequency (%)
1 951
51.0%
3 362
 
19.4%
2 229
 
12.3%
6 115
 
6.2%
9 56
 
3.0%
4 39
 
2.1%
5 36
 
1.9%
7 31
 
1.7%
0 31
 
1.7%
8 14
 
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
2019-12-31
1773 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31
2nd row2019-12-31
3rd row2019-12-31
4th row2019-12-31
5th row2019-12-31

Common Values

ValueCountFrequency (%)
2019-12-31 1773
100.0%

Length

2023-12-12T05:04:46.825987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:04:46.941398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-31 1773
100.0%

Sample

사고번호발생일시발생시간발생요일시읍면동사고내용사망자수중상자수경상자수부상신고자사고유형법규위반노면상태기상상태도로형태가해운전자가해운전_성별가해운전_나이가해운전_부상피해운전자피해운전_성별피해운전_나이피해운전_부상피해연령피해연령대위도경도법정동코드도로명데이터기준일자
020200000000000002018-01-026:00화서귀포시하효동사망사고1000횡단중안전운전불이행포장 - 건조맑음교차로 - 교차로부근승용남57상해없음보행자남94사망9490대이상33.261994126.6206385013010800지방도1132호선2019-12-31
120200000000000002018-01-0320:00수서귀포시동홍동경상사고0010기타안전운전불이행포장 - 건조맑음교차로 - 교차로부근승용남47상해없음보행자남22경상2220대33.252705126.5699225013010500태평로537번길2019-12-31
220200000000000002018-01-063:00토서귀포시서귀동중상사고0100기타안전운전불이행포장 - 건조맑음단일로 - 기타승용남38상해없음보행자남49중상4940대33.249088126.5626185013010100중앙로2019-12-31
320200000000000002018-01-088:00월서귀포시안덕면사망사고1001기타안전운전불이행포장 - 젖음/습기비교차로 - 교차로안승용남25부상신고보행자남69사망6960대33.318607126.3467915013031028동광로2019-12-31
420200000000000002018-01-1014:00수서귀포시서귀동경상사고0010횡단중보행자보호의무위반포장 - 젖음/습기비교차로 - 교차로횡단보도내승용남49상해없음보행자여36경상3630대33.24744126.5618315013010100중앙로2019-12-31
520200000000000002018-01-1418:00일서귀포시동홍동경상사고0010횡단중보행자보호의무위반포장 - 건조맑음교차로 - 교차로부근승용남70상해없음보행자여69경상6960대33.249413126.5711815013010500태평로2019-12-31
620200000000000002018-01-1518:00월서귀포시동홍동경상사고0010횡단중보행자보호의무위반포장 - 건조맑음단일로 - 기타승용여65상해없음보행자남17경상17고등학생33.265184126.5645295013010500지방도1136호선2019-12-31
720200000000000002018-01-1610:00화서귀포시대정읍경상사고0010기타안전운전불이행포장 - 건조맑음교차로 - 교차로안승합남55상해없음보행자남27경상2720대33.226611126.2525015013025022하모중앙로2019-12-31
820200000000000002018-01-1617:00화서귀포시남원읍경상사고0010기타보행자보호의무위반포장 - 젖음/습기비기타 - 기타승용여58상해없음보행자남13경상13초등학생33.273741126.6549235013025327태위로2019-12-31
920200000000000002018-01-1618:00화서귀포시대정읍중상사고0110횡단중안전운전불이행포장 - 젖음/습기비교차로 - 교차로부근승용여50상해없음보행자여72중상7270대33.250492126.2934575013025023지방도1132호선2019-12-31
사고번호발생일시발생시간발생요일시읍면동사고내용사망자수중상자수경상자수부상신고자사고유형법규위반노면상태기상상태도로형태가해운전자가해운전_성별가해운전_나이가해운전_부상피해운전자피해운전_성별피해운전_나이피해운전_부상피해연령피해연령대위도경도법정동코드도로명데이터기준일자
176320200000000000002019-12-2414:00화제주시애월읍부상신고사고0001길가장자리구역통행중안전운전불이행포장 - 건조맑음단일로 - 기타승용여21상해없음보행자여32부상신고3230대33.462281126.3107045011025300없음2019-12-31
176420200000000000002019-12-2417:00화제주시봉개동경상사고0010횡단중안전운전불이행포장 - 건조맑음단일로 - 기타승용남23상해없음보행자남16경상16중학생33.49175126.5936295011011600삼봉로2019-12-31
176520200000000000002019-12-267:00목제주시오라이동중상사고0100횡단중보행자보호의무위반포장 - 젖음/습기흐림교차로 - 교차로횡단보도내승용여52상해없음보행자여27중상2720대33.496109126.5091655011012000오라로2019-12-31
176620200000000000002019-12-276:00금제주시이도이동중상사고0100기타안전운전불이행포장 - 건조맑음교차로 - 교차로부근승용남22상해없음보행자남55중상5550대33.49978126.5281415011010400없음2019-12-31
176720200000000000002019-12-2719:00금제주시구좌읍중상사고0100기타보행자보호의무위반포장 - 건조맑음교차로 - 교차로횡단보도내승용여39상해없음보행자여45중상4540대33.518548126.8650235011025629지방도1132호선2019-12-31
176820200000000000002019-12-2721:00금제주시이도이동중상사고0100횡단중보행자보호의무위반포장 - 건조맑음교차로 - 교차로부근특수남38상해없음보행자남55중상5550대33.494334126.5480545011010400연신로2019-12-31
176920200000000000002019-12-281:00토제주시한림읍사망사고1000횡단중안전운전불이행포장 - 건조맑음교차로 - 교차로안화물남39상해없음보행자남25사망2520대33.412533126.275385011025024명랑로2019-12-31
177020200000000000002019-12-2918:00일제주시도남동중상사고0100보도통행중안전운전불이행포장 - 젖음/습기비기타 - 기타승합남56상해없음보행자여68중상6860대33.489817126.5289575011012900구남로2019-12-31
177120200000000000002019-12-3012:00월제주시용담일동중상사고0100횡단중보행자보호의무위반포장 - 건조맑음교차로 - 교차로횡단보도내승용남63상해없음보행자여48중상4840대33.507214126.515245011010800남성로2019-12-31
177220200000000000002019-12-3118:00화제주시오라일동중상사고0100길가장자리구역통행중안전운전불이행포장 - 건조맑음단일로 - 기타승용여57상해없음보행자여60중상6060대33.498488126.5158025011011900운동장길2019-12-31