Overview

Dataset statistics

Number of variables46
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory380.0 B

Variable types

DateTime1
Categorical37
Text3
Boolean2
Numeric3

Dataset

Description- 이륜차(원동기장치자전거, 사륜ATV 포함) 개별 교통사고 정보(2012~2019년)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094149/fileData.do

Alerts

가해자성별 is highly imbalanced (72.8%)Imbalance
가해Y여부 is highly imbalanced (51.6%)Imbalance
가해자음주농도 is highly imbalanced (77.5%)Imbalance
도로선형_대분류 is highly imbalanced (70.6%)Imbalance
도로선형_중분류 is highly imbalanced (73.1%)Imbalance
도로선형 is highly imbalanced (55.8%)Imbalance
노면상태_대분류 is highly imbalanced (97.5%)Imbalance
노면상태 is highly imbalanced (74.7%)Imbalance
기상상태 is highly imbalanced (72.7%)Imbalance
어린이보호구역여부 is highly imbalanced (95.5%)Imbalance
사망자수 is highly imbalanced (85.4%)Imbalance
중상자수 has 6001 (60.0%) zerosZeros
경상자수 has 4856 (48.6%) zerosZeros
부상신고자수 has 8622 (86.2%) zerosZeros

Reproduction

Analysis started2023-12-12 23:44:10.211507
Analysis finished2023-12-12 23:44:11.449665
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct580
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2012-01-01 00:00:00
Maximum2013-08-02 00:00:00
2023-12-13T08:44:11.508486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:44:11.618404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
18:00
813 
19:00
775 
20:00
741 
17:00
682 
21:00
659 
Other values (19)
6330 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13:00
2nd row00:00
3rd row01:00
4th row21:00
5th row00:00

Common Values

ValueCountFrequency (%)
18:00 813
 
8.1%
19:00 775
 
7.8%
20:00 741
 
7.4%
17:00 682
 
6.8%
21:00 659
 
6.6%
16:00 564
 
5.6%
15:00 537
 
5.4%
22:00 527
 
5.3%
13:00 515
 
5.1%
14:00 467
 
4.7%
Other values (14) 3720
37.2%

Length

2023-12-13T08:44:11.730744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 813
 
8.1%
19:00 775
 
7.8%
20:00 741
 
7.4%
17:00 682
 
6.8%
21:00 659
 
6.6%
16:00 564
 
5.6%
15:00 537
 
5.4%
22:00 527
 
5.3%
13:00 515
 
5.1%
14:00 467
 
4.7%
Other values (14) 3720
37.2%

주야
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주
5004 
야
4996 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주
2nd row야
3rd row야
4th row야
5th row야

Common Values

ValueCountFrequency (%)
주 5004
50.0%
야 4996
50.0%

Length

2023-12-13T08:44:11.827220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:11.902503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주 5004
50.0%
야 4996
50.0%

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
토
1522 
금
1506 
목
1449 
화
1430 
월
1407 
Other values (2)
2686 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토 1522
15.2%
금 1506
15.1%
목 1449
14.5%
화 1430
14.3%
월 1407
14.1%
수 1348
13.5%
일 1338
13.4%

Length

2023-12-13T08:44:11.983600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:12.073868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토 1522
15.2%
금 1506
15.1%
목 1449
14.5%
화 1430
14.3%
월 1407
14.1%
수 1348
13.5%
일 1338
13.4%

사고내용
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
4552 
중상
3957 
부상신고
1124 
사망
 
367

Length

Max length4
Median length2
Mean length2.2248
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 4552
45.5%
중상 3957
39.6%
부상신고 1124
 
11.2%
사망 367
 
3.7%

Length

2023-12-13T08:44:12.203395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:12.296595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 4552
45.5%
중상 3957
39.6%
부상신고 1124
 
11.2%
사망 367
 
3.7%

발생지_시도
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울
2593 
경기
1373 
대구
818 
경북
802 
부산
640 
Other values (12)
3774 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row대구
3rd row경북
4th row대구
5th row서울

Common Values

ValueCountFrequency (%)
서울 2593
25.9%
경기 1373
13.7%
대구 818
 
8.2%
경북 802
 
8.0%
부산 640
 
6.4%
경남 581
 
5.8%
전남 487
 
4.9%
충남 404
 
4.0%
충북 369
 
3.7%
울산 347
 
3.5%
Other values (7) 1586
15.9%

Length

2023-12-13T08:44:12.389763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 2593
25.9%
경기 1373
13.7%
대구 818
 
8.2%
경북 802
 
8.0%
부산 640
 
6.4%
경남 581
 
5.8%
전남 487
 
4.9%
충남 404
 
4.0%
충북 369
 
3.7%
울산 347
 
3.5%
Other values (7) 1586
15.9%

발생지_시군구
Text

Distinct209
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:44:12.688025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9758
Min length2

Characters and Unicode

Total characters29758
Distinct characters135
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row구로구
2nd row서구
3rd row경주시
4th row수성구
5th row강동구
ValueCountFrequency (%)
북구 380
 
3.8%
중구 312
 
3.1%
동구 281
 
2.8%
서구 242
 
2.4%
달서구 227
 
2.3%
남구 222
 
2.2%
동대문구 188
 
1.9%
송파구 176
 
1.8%
청주시 161
 
1.6%
관악구 161
 
1.6%
Other values (199) 7650
76.5%
2023-12-13T08:44:13.105750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 5336
 
17.9%
시 3879
 
13.0%
군 1216
 
4.1%
주 996
 
3.3%
동 915
 
3.1%
서 841
 
2.8%
천 811
 
2.7%
산 732
 
2.5%
성 618
 
2.1%
남 604
 
2.0%
Other values (125) 13810
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29526
99.2%
Close Punctuation 116
 
0.4%
Open Punctuation 116
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5336
 
18.1%
시 3879
 
13.1%
군 1216
 
4.1%
주 996
 
3.4%
동 915
 
3.1%
서 841
 
2.8%
천 811
 
2.7%
산 732
 
2.5%
성 618
 
2.1%
남 604
 
2.0%
Other values (123) 13578
46.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29526
99.2%
Common 232
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5336
 
18.1%
시 3879
 
13.1%
군 1216
 
4.1%
주 996
 
3.4%
동 915
 
3.1%
서 841
 
2.8%
천 811
 
2.7%
산 732
 
2.5%
성 618
 
2.1%
남 604
 
2.0%
Other values (123) 13578
46.0%
Common
ValueCountFrequency (%)
) 116
50.0%
( 116
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29526
99.2%
ASCII 232
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 5336
 
18.1%
시 3879
 
13.1%
군 1216
 
4.1%
주 996
 
3.4%
동 915
 
3.1%
서 841
 
2.8%
천 811
 
2.7%
산 732
 
2.5%
성 618
 
2.1%
남 604
 
2.0%
Other values (123) 13578
46.0%
ASCII
ValueCountFrequency (%)
) 116
50.0%
( 116
50.0%

사고유형_대분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차대차
6702 
차대사람
2229 
차량단독
1067 
철길건널목
 
2

Length

Max length5
Median length3
Mean length3.33
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 6702
67.0%
차대사람 2229
 
22.3%
차량단독 1067
 
10.7%
철길건널목 2
 
< 0.1%

Length

2023-12-13T08:44:13.250359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:13.357104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 6702
67.0%
차대사람 2229
 
22.3%
차량단독 1067
 
10.7%
철길건널목 2
 
< 0.1%

사고유형_중분류
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3310 
기타
3011 
추돌
1196 
횡단중
1009 
전도전복
352 
Other values (8)
1122 

Length

Max length10
Median length9
Mean length3.1854
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row측면충돌
2nd row측면충돌
3rd row공작물충돌
4th row추돌
5th row측면충돌

Common Values

ValueCountFrequency (%)
측면충돌 3310
33.1%
기타 3011
30.1%
추돌 1196
 
12.0%
횡단중 1009
 
10.1%
전도전복 352
 
3.5%
정면충돌 339
 
3.4%
공작물충돌 274
 
2.7%
차도통행중 159
 
1.6%
보도통행중 158
 
1.6%
길가장자리구역통행중 105
 
1.1%
Other values (3) 87
 
0.9%

Length

2023-12-13T08:44:13.465128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3310
33.1%
기타 3011
30.1%
추돌 1196
 
11.9%
횡단중 1009
 
10.1%
전도전복 352
 
3.5%
정면충돌 339
 
3.4%
공작물충돌 274
 
2.7%
차도통행중 159
 
1.6%
보도통행중 158
 
1.6%
길가장자리구역통행중 105
 
1.0%
Other values (4) 98
 
1.0%

사고유형
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3310 
기타
3011 
횡단중
1009 
진행중 추돌
760 
주정차중 추돌
436 
Other values (10)
1474 

Length

Max length10
Median length9
Mean length3.73
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row측면충돌
2nd row측면충돌
3rd row공작물충돌
4th row주정차중 추돌
5th row측면충돌

Common Values

ValueCountFrequency (%)
측면충돌 3310
33.1%
기타 3011
30.1%
횡단중 1009
 
10.1%
진행중 추돌 760
 
7.6%
주정차중 추돌 436
 
4.4%
전도전복 352
 
3.5%
정면충돌 339
 
3.4%
공작물충돌 274
 
2.7%
차도통행중 159
 
1.6%
보도통행중 158
 
1.6%
Other values (5) 192
 
1.9%

Length

2023-12-13T08:44:13.597201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3310
29.3%
기타 3044
27.0%
추돌 1196
 
10.6%
횡단중 1009
 
8.9%
진행중 760
 
6.7%
주정차중 436
 
3.9%
전도전복 352
 
3.1%
정면충돌 339
 
3.0%
공작물충돌 274
 
2.4%
차도통행중 159
 
1.4%
Other values (8) 404
 
3.6%

가해자면허경과년수
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
15년이상
2087 
기타/불명
1955 
1년미만
1783 
10년미만
1143 
15년미만
1002 
Other values (4)
2030 

Length

Max length5
Median length5
Mean length4.6187
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15년이상
2nd row2년미만
3rd row15년이상
4th row15년이상
5th row기타/불명

Common Values

ValueCountFrequency (%)
15년이상 2087
20.9%
기타/불명 1955
19.6%
1년미만 1783
17.8%
10년미만 1143
11.4%
15년미만 1002
10.0%
2년미만 820
 
8.2%
3년미만 492
 
4.9%
4년미만 376
 
3.8%
5년미만 342
 
3.4%

Length

2023-12-13T08:44:13.722008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:13.846438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15년이상 2087
20.9%
기타/불명 1955
19.6%
1년미만 1783
17.8%
10년미만 1143
11.4%
15년미만 1002
10.0%
2년미만 820
 
8.2%
3년미만 492
 
4.9%
4년미만 376
 
3.8%
5년미만 342
 
3.4%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전운전 의무 불이행
5417 
신호위반
1713 
기타
713 
안전거리 미확보
688 
중앙선 침범
609 
Other values (3)
860 

Length

Max length11
Median length11
Mean length8.6465
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신호위반
2nd row교차로 통행방법 위반
3rd row안전운전 의무 불이행
4th row안전운전 의무 불이행
5th row신호위반

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 5417
54.2%
신호위반 1713
 
17.1%
기타 713
 
7.1%
안전거리 미확보 688
 
6.9%
중앙선 침범 609
 
6.1%
교차로 통행방법 위반 578
 
5.8%
보행자 보호의무 위반 280
 
2.8%
과속 2
 
< 0.1%

Length

2023-12-13T08:44:13.956355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:14.071175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 5417
22.7%
의무 5417
22.7%
불이행 5417
22.7%
신호위반 1713
 
7.2%
위반 858
 
3.6%
기타 713
 
3.0%
안전거리 688
 
2.9%
미확보 688
 
2.9%
중앙선 609
 
2.6%
침범 609
 
2.6%
Other values (5) 1718
 
7.2%

가해자성별
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
9301 
여
 
446
기타불명
 
253

Length

Max length4
Median length1
Mean length1.0759
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 9301
93.0%
여 446
 
4.5%
기타불명 253
 
2.5%

Length

2023-12-13T08:44:14.184182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:14.275375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 9301
93.0%
여 446
 
4.5%
기타불명 253
 
2.5%

가해자연령
Text

Distinct83
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:44:14.500641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.975
Min length2

Characters and Unicode

Total characters29750
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

Unique2 ?
Unique (%)< 0.1%

Sample

1st row63세
2nd row17세
3rd row47세
4th row68세
5th row31세
ValueCountFrequency (%)
17세 839
 
8.4%
16세 831
 
8.3%
18세 493
 
4.9%
19세 340
 
3.4%
불명 250
 
2.5%
22세 242
 
2.4%
23세 222
 
2.2%
21세 205
 
2.1%
20세 200
 
2.0%
25세 180
 
1.8%
Other values (73) 6198
62.0%
2023-12-13T08:44:14.821144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9750
32.8%
1 3511
 
11.8%
2 2559
 
8.6%
6 2300
 
7.7%
7 2257
 
7.6%
5 2031
 
6.8%
4 1924
 
6.5%
3 1898
 
6.4%
8 1211
 
4.1%
9 967
 
3.3%
Other values (3) 1342
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19500
65.5%
Other Letter 10250
34.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3511
18.0%
2 2559
13.1%
6 2300
11.8%
7 2257
11.6%
5 2031
10.4%
4 1924
9.9%
3 1898
9.7%
8 1211
 
6.2%
9 967
 
5.0%
0 842
 
4.3%
Other Letter
ValueCountFrequency (%)
세 9750
95.1%
불 250
 
2.4%
명 250
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Common 19500
65.5%
Hangul 10250
34.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3511
18.0%
2 2559
13.1%
6 2300
11.8%
7 2257
11.6%
5 2031
10.4%
4 1924
9.9%
3 1898
9.7%
8 1211
 
6.2%
9 967
 
5.0%
0 842
 
4.3%
Hangul
ValueCountFrequency (%)
세 9750
95.1%
불 250
 
2.4%
명 250
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19500
65.5%
Hangul 10250
34.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9750
95.1%
불 250
 
2.4%
명 250
 
2.4%
ASCII
ValueCountFrequency (%)
1 3511
18.0%
2 2559
13.1%
6 2300
11.8%
7 2257
11.6%
5 2031
10.4%
4 1924
9.9%
3 1898
9.7%
8 1211
 
6.2%
9 967
 
5.0%
0 842
 
4.3%

가해자신체상해정도
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상해없음
3792 
경상
2273 
중상
2055 
부상신고
1148 
기타불명
417 

Length

Max length4
Median length4
Mean length3.0714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 3792
37.9%
경상 2273
22.7%
중상 2055
20.5%
부상신고 1148
 
11.5%
기타불명 417
 
4.2%
사망 315
 
3.1%

Length

2023-12-13T08:44:14.960750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:15.058741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 3792
37.9%
경상 2273
22.7%
중상 2055
20.5%
부상신고 1148
 
11.5%
기타불명 417
 
4.2%
사망 315
 
3.1%

가해차종
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이륜차
6338 
원동기장치자전거
3662 

Length

Max length8
Median length3
Mean length4.831
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이륜차
2nd row이륜차
3rd row이륜차
4th row원동기장치자전거
5th row이륜차

Common Values

ValueCountFrequency (%)
이륜차 6338
63.4%
원동기장치자전거 3662
36.6%

Length

2023-12-13T08:44:15.169464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:15.269660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이륜차 6338
63.4%
원동기장치자전거 3662
36.6%

가해차량용도_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이륜차
6187 
원동기장치자전거
3662 
사륜오토바이(ATV)
 
151

Length

Max length11
Median length3
Mean length4.9518
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이륜차
2nd row이륜차
3rd row이륜차
4th row원동기장치자전거
5th row이륜차

Common Values

ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(ATV) 151
 
1.5%

Length

2023-12-13T08:44:15.362469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:15.461682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(atv 151
 
1.5%

가해차량용도_중분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이륜차
6187 
원동기장치자전거
3662 
사륜오토바이(ATV)
 
151

Length

Max length11
Median length3
Mean length4.9518
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이륜차
2nd row이륜차
3rd row이륜차
4th row원동기장치자전거
5th row이륜차

Common Values

ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(ATV) 151
 
1.5%

Length

2023-12-13T08:44:15.559098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:15.645307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(atv 151
 
1.5%

가해차량용도
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
이륜차
6187 
원동기장치자전거
3662 
사륜오토바이(ATV)
 
151

Length

Max length11
Median length3
Mean length4.9518
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이륜차
2nd row이륜차
3rd row이륜차
4th row원동기장치자전거
5th row이륜차

Common Values

ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(ATV) 151
 
1.5%

Length

2023-12-13T08:44:15.741128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:15.851164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이륜차 6187
61.9%
원동기장치자전거 3662
36.6%
사륜오토바이(atv 151
 
1.5%

가해Y여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8952 
True
1048 
ValueCountFrequency (%)
False 8952
89.5%
True 1048
 
10.5%
2023-12-13T08:44:15.931643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가해자음주농도
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8952 
0.10%~0.14%
 
356
0.05%~0.09%
 
285
0.15%~0.19%
 
240
0.20%~0.24%
 
110
Other values (4)
 
57

Length

Max length11
Median length4
Mean length4.723
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0.15%~0.19%
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8952
89.5%
0.10%~0.14% 356
 
3.6%
0.05%~0.09% 285
 
2.9%
0.15%~0.19% 240
 
2.4%
0.20%~0.24% 110
 
1.1%
0.25%~0.29% 33
 
0.3%
측정불응 14
 
0.1%
0.30%~0.34% 8
 
0.1%
0.35%이상 2
 
< 0.1%

Length

2023-12-13T08:44:16.023674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:16.121840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8952
89.5%
0.10%~0.14 356
 
3.6%
0.05%~0.09 285
 
2.9%
0.15%~0.19 240
 
2.4%
0.20%~0.24 110
 
1.1%
0.25%~0.29 33
 
0.3%
측정불응 14
 
0.1%
0.30%~0.34 8
 
0.1%
0.35%이상 2
 
< 0.1%

가해자보호장구
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전모
8746 
기타불명
1254 

Length

Max length4
Median length3
Mean length3.1254
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전모 8746
87.5%
기타불명 1254
 
12.5%

Length

2023-12-13T08:44:16.228219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:16.314867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전모 8746
87.5%
기타불명 1254
 
12.5%

가해자보호장구_착용여부
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
착용
4977 
착용불명
2181 
미착용
1588 
기타불명
1254 

Length

Max length4
Median length3
Mean length2.8458
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row착용
2nd row미착용
3rd row착용
4th row착용
5th row착용

Common Values

ValueCountFrequency (%)
착용 4977
49.8%
착용불명 2181
21.8%
미착용 1588
 
15.9%
기타불명 1254
 
12.5%

Length

2023-12-13T08:44:16.409082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:16.513958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
착용 4977
49.8%
착용불명 2181
21.8%
미착용 1588
 
15.9%
기타불명 1254
 
12.5%

피해자성별
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
6414 
여
2492 
없음
1056 
기타불명
 
38

Length

Max length4
Median length1
Mean length1.117
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 6414
64.1%
여 2492
 
24.9%
없음 1056
 
10.6%
기타불명 38
 
0.4%

Length

2023-12-13T08:44:16.639527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:16.735376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 6414
64.1%
여 2492
 
24.9%
없음 1056
 
10.6%
기타불명 38
 
0.4%

피해자연령
Text

Distinct95
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:44:16.942066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.8694
Min length2

Characters and Unicode

Total characters28694
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 row51세
2nd row35세
3rd row불명
4th row64세
5th row33세
ValueCountFrequency (%)
불명 1095
 
10.9%
54세 236
 
2.4%
51세 231
 
2.3%
53세 228
 
2.3%
47세 227
 
2.3%
52세 223
 
2.2%
41세 218
 
2.2%
50세 211
 
2.1%
46세 205
 
2.1%
48세 198
 
2.0%
Other values (85) 6928
69.3%
2023-12-13T08:44:17.262444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 8905
31.0%
5 2888
 
10.1%
4 2851
 
9.9%
3 2445
 
8.5%
2 2022
 
7.0%
6 1840
 
6.4%
1 1467
 
5.1%
7 1332
 
4.6%
불 1095
 
3.8%
명 1095
 
3.8%
Other values (3) 2754
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17599
61.3%
Other Letter 11095
38.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2888
16.4%
4 2851
16.2%
3 2445
13.9%
2 2022
11.5%
6 1840
10.5%
1 1467
8.3%
7 1332
7.6%
8 997
 
5.7%
9 881
 
5.0%
0 876
 
5.0%
Other Letter
ValueCountFrequency (%)
세 8905
80.3%
불 1095
 
9.9%
명 1095
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common 17599
61.3%
Hangul 11095
38.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2888
16.4%
4 2851
16.2%
3 2445
13.9%
2 2022
11.5%
6 1840
10.5%
1 1467
8.3%
7 1332
7.6%
8 997
 
5.7%
9 881
 
5.0%
0 876
 
5.0%
Hangul
ValueCountFrequency (%)
세 8905
80.3%
불 1095
 
9.9%
명 1095
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17599
61.3%
Hangul 11095
38.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 8905
80.3%
불 1095
 
9.9%
명 1095
 
9.9%
ASCII
ValueCountFrequency (%)
5 2888
16.4%
4 2851
16.2%
3 2445
13.9%
2 2022
11.5%
6 1840
10.5%
1 1467
8.3%
7 1332
7.6%
8 997
 
5.7%
9 881
 
5.0%
0 876
 
5.0%

피해자신체상해정도
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상해없음
4355 
경상
2596 
중상
1645 
없음
1056 
기타불명
 
171
Other values (2)
 
177

Length

Max length4
Median length2
Mean length2.935
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 4355
43.5%
경상 2596
26.0%
중상 1645
 
16.4%
없음 1056
 
10.6%
기타불명 171
 
1.7%
부상신고 149
 
1.5%
사망 28
 
0.3%

Length

2023-12-13T08:44:17.383376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:17.491328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 4355
43.5%
경상 2596
26.0%
중상 1645
 
16.4%
없음 1056
 
10.6%
기타불명 171
 
1.7%
부상신고 149
 
1.5%
사망 28
 
0.3%

피해차종
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
4347 
보행자
2229 
없음
1056 
화물차
703 
이륜차
506 
Other values (8)
1159 

Length

Max length8
Median length3
Mean length3.0186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 4347
43.5%
보행자 2229
22.3%
없음 1056
 
10.6%
화물차 703
 
7.0%
이륜차 506
 
5.1%
승합차 475
 
4.8%
자전거 323
 
3.2%
원동기장치자전거 245
 
2.5%
건설기계 36
 
0.4%
특수차 33
 
0.3%
Other values (3) 47
 
0.5%

Length

2023-12-13T08:44:17.609624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 4347
43.5%
보행자 2229
22.3%
없음 1056
 
10.6%
화물차 703
 
7.0%
이륜차 506
 
5.1%
승합차 475
 
4.8%
자전거 323
 
3.2%
원동기장치자전거 245
 
2.5%
건설기계 36
 
0.4%
특수차 33
 
0.3%
Other values (3) 47
 
0.5%

피해차량용도_대분류
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
비사업용
4067 
보행자
2229 
사업용
1555 
없음
1056 
이륜차
499 
Other values (5)
594 

Length

Max length11
Median length8
Mean length3.4307
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비사업용 4067
40.7%
보행자 2229
22.3%
사업용 1555
 
15.6%
없음 1056
 
10.6%
이륜차 499
 
5.0%
자전거 323
 
3.2%
원동기장치자전거 245
 
2.5%
기타불명 17
 
0.2%
사륜오토바이(ATV) 7
 
0.1%
열차 2
 
< 0.1%

Length

2023-12-13T08:44:17.729055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:18.151783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비사업용 4067
40.7%
보행자 2229
22.3%
사업용 1555
 
15.6%
없음 1056
 
10.6%
이륜차 499
 
5.0%
자전거 323
 
3.2%
원동기장치자전거 245
 
2.5%
기타불명 17
 
0.2%
사륜오토바이(atv 7
 
0.1%
열차 2
 
< 0.1%

피해차량용도_중분류
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
3242 
보행자
2229 
없음
1056 
택시
970 
화물차
618 
Other values (17)
1885 

Length

Max length11
Median length3
Mean length3.0523
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 3242
32.4%
보행자 2229
22.3%
없음 1056
 
10.6%
택시 970
 
9.7%
화물차 618
 
6.2%
이륜차 499
 
5.0%
자전거 323
 
3.2%
비사업용기타 249
 
2.5%
원동기장치자전거 245
 
2.5%
노선버스 234
 
2.3%
Other values (12) 335
 
3.4%

Length

2023-12-13T08:44:18.290378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 3242
32.4%
보행자 2229
22.3%
없음 1056
 
10.6%
택시 970
 
9.7%
화물차 618
 
6.2%
이륜차 499
 
5.0%
자전거 323
 
3.2%
비사업용기타 249
 
2.5%
원동기장치자전거 245
 
2.5%
노선버스 234
 
2.3%
Other values (12) 335
 
3.4%

피해차량용도
Categorical

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
3242 
보행자
2229 
없음
1056 
법인택시
606 
화물차
529 
Other values (23)
2338 

Length

Max length11
Median length3
Mean length3.2308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 3242
32.4%
보행자 2229
22.3%
없음 1056
 
10.6%
법인택시 606
 
6.1%
화물차 529
 
5.3%
이륜차 499
 
5.0%
개인택시 364
 
3.6%
자전거 323
 
3.2%
비사업용기타 249
 
2.5%
원동기장치자전거 245
 
2.5%
Other values (18) 658
 
6.6%

Length

2023-12-13T08:44:18.416610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 3242
32.4%
보행자 2229
22.3%
없음 1056
 
10.6%
법인택시 606
 
6.1%
화물차 529
 
5.3%
이륜차 499
 
5.0%
개인택시 364
 
3.6%
자전거 323
 
3.2%
비사업용기타 249
 
2.5%
원동기장치자전거 245
 
2.5%
Other values (18) 658
 
6.6%

도로종류
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
특별광역시도
4981 
시도
2550 
지방도
861 
일반국도
572 
이면도로
 
440
Other values (3)
596 

Length

Max length6
Median length4
Mean length4.2811
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row특별광역시도
2nd row특별광역시도
3rd row일반국도
4th row특별광역시도
5th row특별광역시도

Common Values

ValueCountFrequency (%)
특별광역시도 4981
49.8%
시도 2550
25.5%
지방도 861
 
8.6%
일반국도 572
 
5.7%
이면도로 440
 
4.4%
군도 439
 
4.4%
기타 156
 
1.6%
고속국도 1
 
< 0.1%

Length

2023-12-13T08:44:18.533340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:18.641350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특별광역시도 4981
49.8%
시도 2550
25.5%
지방도 861
 
8.6%
일반국도 572
 
5.7%
이면도로 440
 
4.4%
군도 439
 
4.4%
기타 156
 
1.6%
고속국도 1
 
< 0.1%

도로형태_대분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단일로
5402 
교차로
4327 
기타/불명
 
269
철길건널목
 
2

Length

Max length5
Median length3
Mean length3.0542
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 5402
54.0%
교차로 4327
43.3%
기타/불명 269
 
2.7%
철길건널목 2
 
< 0.1%

Length

2023-12-13T08:44:18.764200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:18.873408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 5402
54.0%
교차로 4327
43.3%
기타/불명 269
 
2.7%
철길건널목 2
 
< 0.1%

도로형태
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타단일로
4716 
교차로내
3002 
교차로부근
1325 
횡단보도상
 
448
기타/불명
 
269
Other values (6)
 
240

Length

Max length9
Median length5
Mean length4.7094
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 4716
47.2%
교차로내 3002
30.0%
교차로부근 1325
 
13.2%
횡단보도상 448
 
4.5%
기타/불명 269
 
2.7%
횡단보도부근 136
 
1.4%
교량위 51
 
0.5%
지하차도(도로)내 23
 
0.2%
터널안 15
 
0.1%
고가도로위 13
 
0.1%

Length

2023-12-13T08:44:18.985967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 4716
47.2%
교차로내 3002
30.0%
교차로부근 1325
 
13.2%
횡단보도상 448
 
4.5%
기타/불명 269
 
2.7%
횡단보도부근 136
 
1.4%
교량위 51
 
0.5%
지하차도(도로)내 23
 
0.2%
터널안 15
 
0.1%
고가도로위 13
 
0.1%

도로선형_대분류
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직선
9155 
커브ㆍ곡각
 
733
기타구역
 
112

Length

Max length6
Median length2
Mean length2.3156
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직선
2nd row직선
3rd row커브ㆍ곡각
4th row직선
5th row직선

Common Values

ValueCountFrequency (%)
직선 9155
91.5%
커브ㆍ곡각 733
 
7.3%
기타구역 112
 
1.1%

Length

2023-12-13T08:44:19.104491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:19.193411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직선 9155
91.5%
커브ㆍ곡각 733
 
7.3%
기타구역 112
 
1.1%

도로선형_중분류
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직선
9155 
좌
 
385
우
 
348
기타구역
 
112

Length

Max length4
Median length2
Mean length1.9491
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row직선
2nd row직선
3rd row우
4th row직선
5th row직선

Common Values

ValueCountFrequency (%)
직선 9155
91.5%
좌 385
 
3.9%
우 348
 
3.5%
기타구역 112
 
1.1%

Length

2023-12-13T08:44:19.381410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:19.558542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직선 9155
91.5%
좌 385
 
3.9%
우 348
 
3.5%
기타구역 112
 
1.1%

도로선형
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
평지
8135 
내리막
 
734
오르막
 
592
평지
 
427
기타/서비스구역
 
112

Length

Max length8
Median length2
Mean length2.2852
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평지 8135
81.3%
내리막 734
 
7.3%
오르막 592
 
5.9%
평지 427
 
4.3%
기타/서비스구역 112
 
1.1%

Length

2023-12-13T08:44:19.745092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:19.945271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평지 8562
85.6%
내리막 734
 
7.3%
오르막 592
 
5.9%
기타/서비스구역 112
 
1.1%

교차로형태_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
교차로아님
5619 
교차로
4327 
기타불명
 
54

Length

Max length5
Median length5
Mean length4.1292
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교차로아님 5619
56.2%
교차로 4327
43.3%
기타불명 54
 
0.5%

Length

2023-12-13T08:44:20.118395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:20.215321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차로아님 5619
56.2%
교차로 4327
43.3%
기타불명 54
 
0.5%

교차로형태
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
교차로아님
5619 
교차로 - 사지
2801 
교차로 - 삼지
1394 
교차로 - 오지이상
 
110
기타불명
 
54

Length

Max length10
Median length5
Mean length6.3147
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교차로 - 사지
2nd row교차로 - 사지
3rd row교차로 - 삼지
4th row교차로아님
5th row교차로 - 사지

Common Values

ValueCountFrequency (%)
교차로아님 5619
56.2%
교차로 - 사지 2801
28.0%
교차로 - 삼지 1394
 
13.9%
교차로 - 오지이상 110
 
1.1%
기타불명 54
 
0.5%
교차로 - 회전 22
 
0.2%

Length

2023-12-13T08:44:20.310297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:20.422838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차로아님 5619
30.1%
교차로 4327
23.2%
4327
23.2%
사지 2801
15.0%
삼지 1394
 
7.5%
오지이상 110
 
0.6%
기타불명 54
 
0.3%
회전 22
 
0.1%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
포장
9975 
비포장
 
25

Length

Max length3
Median length2
Mean length2.0025
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포장 9975
99.8%
비포장 25
 
0.2%

Length

2023-12-13T08:44:20.539439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:20.619283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 9975
99.8%
비포장 25
 
0.2%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건조
8909 
젖음/습기
919 
기타
 
102
서리/결빙
 
54
적설
 
16

Length

Max length5
Median length2
Mean length2.2919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건조
2nd row건조
3rd row건조
4th row젖음/습기
5th row건조

Common Values

ValueCountFrequency (%)
건조 8909
89.1%
젖음/습기 919
 
9.2%
기타 102
 
1.0%
서리/결빙 54
 
0.5%
적설 16
 
0.2%

Length

2023-12-13T08:44:20.724882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:20.850328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 8909
89.1%
젖음/습기 919
 
9.2%
기타 102
 
1.0%
서리/결빙 54
 
0.5%
적설 16
 
0.2%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
맑음
8786 
비
 
683
흐림
 
428
기타/불명
 
61
눈
 
29

Length

Max length5
Median length2
Mean length1.9471
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 8786
87.9%
비 683
 
6.8%
흐림 428
 
4.3%
기타/불명 61
 
0.6%
눈 29
 
0.3%
안개 13
 
0.1%

Length

2023-12-13T08:44:21.009337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:21.131133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 8786
87.9%
비 683
 
6.8%
흐림 428
 
4.3%
기타/불명 61
 
0.6%
눈 29
 
0.3%
안개 13
 
0.1%

어린이보호구역여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9951 
True
 
49
ValueCountFrequency (%)
False 9951
99.5%
True 49
 
0.5%
2023-12-13T08:44:21.219569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9633 
1
 
361
2
 
6

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 9633
96.3%
1 361
 
3.6%
2 6
 
0.1%

Length

2023-12-13T08:44:21.311334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:44:21.397810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9633
96.3%
1 361
 
3.6%
2 6
 
0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4355
Minimum0
Maximum5
Zeros6001
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:44:21.503237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.56909765
Coefficient of variation (CV)1.3067684
Kurtosis0.86953805
Mean0.4355
Median Absolute Deviation (MAD)0
Skewness1.0159924
Sum4355
Variance0.32387214
MonotonicityNot monotonic
2023-12-13T08:44:21.656304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 6001
60.0%
1 3673
36.7%
2 299
 
3.0%
3 25
 
0.2%
5 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 6001
60.0%
1 3673
36.7%
2 299
 
3.0%
3 25
 
0.2%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 25
 
0.2%
2 299
 
3.0%
1 3673
36.7%
0 6001
60.0%

경상자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6079
Minimum0
Maximum6
Zeros4856
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:44:21.761704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.69239117
Coefficient of variation (CV)1.1389886
Kurtosis4.009397
Mean0.6079
Median Absolute Deviation (MAD)1
Skewness1.3610637
Sum6079
Variance0.47940553
MonotonicityNot monotonic
2023-12-13T08:44:21.866961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 4856
48.6%
1 4406
44.1%
2 595
 
5.9%
3 104
 
1.0%
4 28
 
0.3%
5 7
 
0.1%
6 4
 
< 0.1%
ValueCountFrequency (%)
0 4856
48.6%
1 4406
44.1%
2 595
 
5.9%
3 104
 
1.0%
4 28
 
0.3%
5 7
 
0.1%
6 4
 
< 0.1%
ValueCountFrequency (%)
6 4
 
< 0.1%
5 7
 
0.1%
4 28
 
0.3%
3 104
 
1.0%
2 595
 
5.9%
1 4406
44.1%
0 4856
48.6%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1431
Minimum0
Maximum6
Zeros8622
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:44:21.980211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.36937249
Coefficient of variation (CV)2.5812193
Kurtosis11.967516
Mean0.1431
Median Absolute Deviation (MAD)0
Skewness2.7630382
Sum1431
Variance0.13643603
MonotonicityNot monotonic
2023-12-13T08:44:22.081594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 8622
86.2%
1 1334
 
13.3%
2 39
 
0.4%
3 3
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 8622
86.2%
1 1334
 
13.3%
2 39
 
0.4%
3 3
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 3
 
< 0.1%
2 39
 
0.4%
1 1334
 
13.3%
0 8622
86.2%

Sample

발생일발생시간주야요일사고내용발생지_시도발생지_시군구사고유형_대분류사고유형_중분류사고유형가해자면허경과년수가해자법규위반가해자성별가해자연령가해자신체상해정도가해차종가해차량용도_대분류가해차량용도_중분류가해차량용도가해Y여부가해자음주농도가해자보호장구가해자보호장구_착용여부피해자성별피해자연령피해자신체상해정도피해차종피해차량용도_대분류피해차량용도_중분류피해차량용도도로종류도로형태_대분류도로형태도로선형_대분류도로선형_중분류도로선형교차로형태_대분류교차로형태노면상태_대분류노면상태기상상태어린이보호구역여부사망자수중상자수경상자수부상신고자수
75912012-06-2613:00주화중상서울구로구차대차측면충돌측면충돌15년이상신호위반남63세중상이륜차이륜차이륜차이륜차N<NA>안전모착용남51세경상승용차비사업용승용차승용차특별광역시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조맑음N0110
218752013-05-2700:00야월경상대구서구차대차측면충돌측면충돌2년미만교차로 통행방법 위반남17세경상이륜차이륜차이륜차이륜차N<NA>안전모미착용남35세상해없음승용차비사업용승용차승용차특별광역시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조맑음N0010
153642012-11-2501:00야일중상경북경주시차량단독공작물충돌공작물충돌15년이상안전운전 의무 불이행남47세중상이륜차이륜차이륜차이륜차N<NA>안전모착용없음불명없음없음없음없음없음일반국도교차로교차로부근커브ㆍ곡각우평지교차로교차로 - 삼지포장건조맑음N0100
115232012-09-0921:00야일경상대구수성구차대차추돌주정차중 추돌15년이상안전운전 의무 불이행남68세상해없음원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거Y0.15%~0.19%안전모착용남64세상해없음화물차비사업용화물차화물차특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장젖음/습기비N0020
203672013-04-2800:00야일중상서울강동구차대차측면충돌측면충돌기타/불명신호위반남31세상해없음이륜차이륜차이륜차이륜차N<NA>안전모착용남33세중상승용차비사업용승용차승용차특별광역시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조맑음N0100
173042013-02-0817:00주금부상신고대구달서구차대차측면충돌측면충돌기타/불명기타남74세부상신고이륜차이륜차이륜차이륜차N<NA>안전모착용불명남39세상해없음승합차비사업용비사업용기타비사업용기타특별광역시도교차로교차로내직선직선평지교차로교차로 - 삼지포장건조맑음N0001
10742012-02-0718:00야화경상서울양천구차대차추돌진행중 추돌1년미만안전운전 의무 불이행남16세상해없음이륜차이륜차이륜차이륜차N<NA>안전모착용여59세경상자전거자전거자전거자전거특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0010
197762013-04-1418:00야일경상경북구미시차대차기타기타5년미만교차로 통행방법 위반남36세경상원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거N<NA>안전모착용불명남34세상해없음승용차비사업용승용차승용차시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조맑음N0010
197082013-04-1313:00주토경상경북영주시차대차측면충돌측면충돌15년이상교차로 통행방법 위반남71세경상이륜차이륜차이륜차이륜차N<NA>안전모착용불명남54세상해없음승용차비사업용승용차승용차시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조맑음N0010
16322012-02-2421:00야금부상신고경남양산시차대사람길가장자리구역통행중길가장자리구역통행중기타/불명안전운전 의무 불이행기타불명불명기타불명원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거N<NA>기타불명기타불명남32세부상신고보행자보행자보행자보행자일반국도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0001
발생일발생시간주야요일사고내용발생지_시도발생지_시군구사고유형_대분류사고유형_중분류사고유형가해자면허경과년수가해자법규위반가해자성별가해자연령가해자신체상해정도가해차종가해차량용도_대분류가해차량용도_중분류가해차량용도가해Y여부가해자음주농도가해자보호장구가해자보호장구_착용여부피해자성별피해자연령피해자신체상해정도피해차종피해차량용도_대분류피해차량용도_중분류피해차량용도도로종류도로형태_대분류도로형태도로선형_대분류도로선형_중분류도로선형교차로형태_대분류교차로형태노면상태_대분류노면상태기상상태어린이보호구역여부사망자수중상자수경상자수부상신고자수
120162012-09-1922:00야수경상서울종로구차대차추돌진행중 추돌2년미만안전거리 미확보남17세부상신고이륜차이륜차이륜차이륜차N<NA>안전모착용남55세상해없음승용차사업용택시개인택시특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0011
130622012-10-0918:00야화경상서울마포구차대차기타기타15년이상안전운전 의무 불이행남59세상해없음이륜차이륜차이륜차이륜차N<NA>안전모착용여55세경상승용차비사업용승용차승용차특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0010
46682012-05-0506:00주토경상경기남양주시차대차추돌주정차중 추돌10년미만안전거리 미확보남25세경상이륜차이륜차이륜차이륜차N<NA>안전모착용남36세경상승용차사업용택시법인택시일반국도교차로교차로부근직선직선오르막교차로교차로 - 삼지포장건조맑음N0020
201892013-04-2408:00주수중상서울송파구차대차측면충돌측면충돌15년미만안전거리 미확보남32세중상이륜차이륜차이륜차이륜차N<NA>기타불명기타불명남52세상해없음화물차비사업용화물차화물차특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0100
163082012-12-2721:00야목중상서울동대문구차대차측면충돌측면충돌5년미만안전거리 미확보남26세상해없음이륜차이륜차이륜차이륜차N<NA>안전모착용불명여38세상해없음승용차비사업용승용차승용차특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0100
115552012-09-1016:00주월경상서울영등포구차대차측면충돌측면충돌2년미만교차로 통행방법 위반남18세경상원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거N<NA>안전모착용남30세상해없음승용차비사업용승용차승용차특별광역시도교차로교차로내커브ㆍ곡각좌내리막교차로교차로 - 오지이상포장건조맑음N0010
156772012-12-0212:00주일경상대구달서구차대차기타기타1년미만안전운전 의무 불이행남23세경상이륜차이륜차이륜차이륜차N<NA>안전모착용남49세상해없음승용차비사업용승용차승용차특별광역시도단일로기타단일로직선직선평지교차로아님교차로아님포장젖음/습기비N0010
157812012-12-0507:00주수중상경남통영시차대차측면충돌측면충돌4년미만안전운전 의무 불이행남67세중상원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거N<NA>안전모착용불명남47세상해없음승용차비사업용승용차승용차일반국도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0100
185882013-03-1811:00주월경상전남나주시차량단독전도전복전도전복10년미만안전운전 의무 불이행여65세경상원동기장치자전거원동기장치자전거원동기장치자전거원동기장치자전거N<NA>기타불명기타불명없음불명없음없음없음없음없음시도단일로기타단일로직선직선평지교차로아님교차로아님포장건조맑음N0010
251022013-07-2623:00야금중상경기안양시차대차측면충돌측면충돌15년미만신호위반남31세중상이륜차이륜차이륜차이륜차Y0.05%~0.09%안전모착용남53세상해없음승용차비사업용승용차승용차시도교차로교차로내직선직선평지교차로교차로 - 사지포장건조흐림N0100