Overview

Dataset statistics

Number of variables33
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 MiB
Average record size in memory277.0 B

Variable types

DateTime1
Numeric4
Categorical19
Text2
Boolean7

Dataset

Description* 광주광역시 개별사고정보(2015~2019)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094154/fileData.do

Alerts

사고내용 is highly imbalanced (53.0%)Imbalance
사망자수 is highly imbalanced (94.6%)Imbalance
노면상태_대분류 is highly imbalanced (99.0%)Imbalance
노면상태 is highly imbalanced (75.6%)Imbalance
기상상태 is highly imbalanced (70.9%)Imbalance
도로형태_대분류 is highly imbalanced (50.5%)Imbalance
가해자차종 is highly imbalanced (61.0%)Imbalance
가해자신체상해정도 is highly imbalanced (52.1%)Imbalance
음주사고여부 is highly imbalanced (55.4%)Imbalance
무면허사고여부 is highly imbalanced (83.5%)Imbalance
뺑소니사고여부 is highly imbalanced (70.6%)Imbalance
어린이사고여부 is highly imbalanced (67.7%)Imbalance
어린이보호구역사고여부 is highly imbalanced (95.9%)Imbalance
무단횡단사고여부 is highly imbalanced (69.8%)Imbalance
발생시간 has 329 (3.3%) zerosZeros
중상자수 has 8190 (81.9%) zerosZeros
경상자수 has 1706 (17.1%) zerosZeros
부상신고자수 has 9517 (95.2%) zerosZeros

Reproduction

Analysis started2023-12-12 18:03:49.583859
Analysis finished2023-12-12 18:03:50.526523
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct1815
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-01 00:00:00
Maximum2019-12-31 00:00:00
2023-12-13T03:03:50.632191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:03:50.802015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5954
Minimum0
Maximum23
Zeros329
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:03:50.950685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median15
Q319
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.3350542
Coefficient of variation (CV)0.46597042
Kurtosis-0.72790737
Mean13.5954
Median Absolute Deviation (MAD)5
Skewness-0.48104071
Sum135954
Variance40.132912
MonotonicityNot monotonic
2023-12-13T03:03:51.196757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 733
 
7.3%
19 695
 
7.0%
17 651
 
6.5%
8 580
 
5.8%
20 538
 
5.4%
16 527
 
5.3%
21 525
 
5.2%
22 518
 
5.2%
15 505
 
5.1%
14 472
 
4.7%
Other values (14) 4256
42.6%
ValueCountFrequency (%)
0 329
3.3%
1 260
2.6%
2 198
 
2.0%
3 142
 
1.4%
4 146
 
1.5%
5 157
 
1.6%
6 245
2.5%
7 307
3.1%
8 580
5.8%
9 402
4.0%
ValueCountFrequency (%)
23 391
3.9%
22 518
5.2%
21 525
5.2%
20 538
5.4%
19 695
7.0%
18 733
7.3%
17 651
6.5%
16 527
5.3%
15 505
5.1%
14 472
4.7%

발생요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
금
1614 
수
1493 
월
1485 
목
1446 
토
1432 
Other values (2)
2530 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금
2nd row일
3rd row토
4th row수
5th row금

Common Values

ValueCountFrequency (%)
금 1614
16.1%
수 1493
14.9%
월 1485
14.8%
목 1446
14.5%
토 1432
14.3%
화 1383
13.8%
일 1147
11.5%

Length

2023-12-13T03:03:51.390573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:51.558723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 1614
16.1%
수 1493
14.9%
월 1485
14.8%
목 1446
14.5%
토 1432
14.3%
화 1383
13.8%
일 1147
11.5%

시군구
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
북구
2925 
서구
2629 
광산구
2586 
남구
1109 
동구
751 

Length

Max length3
Median length2
Mean length2.2586
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광산구
2nd row남구
3rd row서구
4th row광산구
5th row광산구

Common Values

ValueCountFrequency (%)
북구 2925
29.2%
서구 2629
26.3%
광산구 2586
25.9%
남구 1109
 
11.1%
동구 751
 
7.5%

Length

2023-12-13T03:03:51.763360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:51.938078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 2925
29.2%
서구 2629
26.3%
광산구 2586
25.9%
남구 1109
 
11.1%
동구 751
 
7.5%

사고내용
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
7809 
중상
1795 
부상신고
 
291
사망
 
105

Length

Max length4
Median length2
Mean length2.0582
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 7809
78.1%
중상 1795
 
17.9%
부상신고 291
 
2.9%
사망 105
 
1.1%

Length

2023-12-13T03:03:52.124068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:52.293850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 7809
78.1%
중상 1795
 
17.9%
부상신고 291
 
2.9%
사망 105
 
1.1%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9895 
1
 
103
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 9895
99.0%
1 103
 
1.0%
2 2
 
< 0.1%

Length

2023-12-13T03:03:52.420324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:52.548686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9895
99.0%
1 103
 
1.0%
2 2
 
< 0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1994
Minimum0
Maximum6
Zeros8190
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:03:52.645682image/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 deviation0.45810547
Coefficient of variation (CV)2.2974196
Kurtosis13.586493
Mean0.1994
Median Absolute Deviation (MAD)0
Skewness2.8586749
Sum1994
Variance0.20986063
MonotonicityNot monotonic
2023-12-13T03:03:52.771986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8190
81.9%
1 1673
 
16.7%
2 102
 
1.0%
3 29
 
0.3%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
0 8190
81.9%
1 1673
 
16.7%
2 102
 
1.0%
3 29
 
0.3%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
6 2
 
< 0.1%
5 2
 
< 0.1%
4 2
 
< 0.1%
3 29
 
0.3%
2 102
 
1.0%
1 1673
 
16.7%
0 8190
81.9%

경상자수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3519
Minimum0
Maximum18
Zeros1706
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:03:52.919883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1823731
Coefficient of variation (CV)0.87460102
Kurtosis12.369983
Mean1.3519
Median Absolute Deviation (MAD)0
Skewness2.3184672
Sum13519
Variance1.3980062
MonotonicityNot monotonic
2023-12-13T03:03:53.086421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 5311
53.1%
2 1713
 
17.1%
0 1706
 
17.1%
3 732
 
7.3%
4 311
 
3.1%
5 125
 
1.2%
6 57
 
0.6%
7 21
 
0.2%
8 13
 
0.1%
9 4
 
< 0.1%
Other values (5) 7
 
0.1%
ValueCountFrequency (%)
0 1706
 
17.1%
1 5311
53.1%
2 1713
 
17.1%
3 732
 
7.3%
4 311
 
3.1%
5 125
 
1.2%
6 57
 
0.6%
7 21
 
0.2%
8 13
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
12 1
 
< 0.1%
11 2
 
< 0.1%
10 2
 
< 0.1%
9 4
 
< 0.1%
8 13
 
0.1%
7 21
 
0.2%
6 57
0.6%
5 125
1.2%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0525
Minimum0
Maximum5
Zeros9517
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T03:03:53.256233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.24688022
Coefficient of variation (CV)4.7024805
Kurtosis49.3269
Mean0.0525
Median Absolute Deviation (MAD)0
Skewness5.833799
Sum525
Variance0.060949845
MonotonicityNot monotonic
2023-12-13T03:03:53.395303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9517
95.2%
1 451
 
4.5%
2 25
 
0.2%
3 5
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9517
95.2%
1 451
 
4.5%
2 25
 
0.2%
3 5
 
0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 1
 
< 0.1%
3 5
 
0.1%
2 25
 
0.2%
1 451
 
4.5%
0 9517
95.2%

사고유형_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차대차
7737 
차대사람
1954 
차량단독
 
309

Length

Max length4
Median length3
Mean length3.2263
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 7737
77.4%
차대사람 1954
 
19.5%
차량단독 309
 
3.1%

Length

2023-12-13T03:03:53.556165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:53.676857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 7737
77.4%
차대사람 1954
 
19.5%
차량단독 309
 
3.1%

사고유형_중분류
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3920 
기타
2060 
추돌
1956 
횡단중
1035 
정면충돌
466 
Other values (9)
563 

Length

Max length10
Median length5
Mean length3.2055
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 3920
39.2%
기타 2060
20.6%
추돌 1956
19.6%
횡단중 1035
 
10.3%
정면충돌 466
 
4.7%
차도통행중 134
 
1.3%
길가장자리구역통행중 129
 
1.3%
공작물충돌 106
 
1.1%
후진중충돌 80
 
0.8%
보도통행중 54
 
0.5%
Other values (4) 60
 
0.6%

Length

2023-12-13T03:03:53.812810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3920
39.2%
기타 2060
20.6%
추돌 1956
19.6%
횡단중 1035
 
10.3%
정면충돌 466
 
4.7%
차도통행중 134
 
1.3%
길가장자리구역통행중 129
 
1.3%
공작물충돌 106
 
1.1%
후진중충돌 80
 
0.8%
보도통행중 54
 
0.5%
Other values (4) 60
 
0.6%

사고유형
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3920 
기타
2060 
횡단중
1035 
추돌
1031 
진행중 추돌
690 
Other values (12)
1264 

Length

Max length10
Median length7
Mean length3.6008
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row측면충돌
2nd row기타
3rd row기타
4th row기타
5th row진행중 추돌

Common Values

ValueCountFrequency (%)
측면충돌 3920
39.2%
기타 2060
20.6%
횡단중 1035
 
10.3%
추돌 1031
 
10.3%
진행중 추돌 690
 
6.9%
정면충돌 466
 
4.7%
주정차중 추돌 235
 
2.4%
차도통행중 134
 
1.3%
길가장자리구역통행중 129
 
1.3%
공작물충돌 106
 
1.1%
Other values (7) 194
 
1.9%

Length

2023-12-13T03:03:53.969259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3920
35.9%
기타 2064
18.9%
추돌 1956
17.9%
횡단중 1035
 
9.5%
진행중 690
 
6.3%
정면충돌 466
 
4.3%
주정차중 235
 
2.1%
차도통행중 134
 
1.2%
길가장자리구역통행중 129
 
1.2%
공작물충돌 106
 
1.0%
Other values (7) 196
 
1.8%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전운전 의무 불이행
5320 
안전거리 미확보
1293 
신호위반
1120 
교차로 통행방법 위반
867 
기타
723 
Other values (3)
677 

Length

Max length11
Median length11
Mean length8.9575
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 5320
53.2%
안전거리 미확보 1293
 
12.9%
신호위반 1120
 
11.2%
교차로 통행방법 위반 867
 
8.7%
기타 723
 
7.2%
중앙선 침범 384
 
3.8%
보행자 보호의무 위반 262
 
2.6%
과속 31
 
0.3%

Length

2023-12-13T03:03:54.129424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:54.267756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 5320
21.6%
의무 5320
21.6%
불이행 5320
21.6%
안전거리 1293
 
5.3%
미확보 1293
 
5.3%
위반 1129
 
4.6%
신호위반 1120
 
4.6%
교차로 867
 
3.5%
통행방법 867
 
3.5%
기타 723
 
2.9%
Other values (5) 1323
 
5.4%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
포장
9991 
비포장
 
9

Length

Max length3
Median length2
Mean length2.0009
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포장 9991
99.9%
비포장 9
 
0.1%

Length

2023-12-13T03:03:54.423656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:54.546268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 9991
99.9%
비포장 9
 
0.1%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건조
8912 
젖음/습기
967 
서리/결빙
 
68
적설
 
41
기타
 
12

Length

Max length5
Median length2
Mean length2.3105
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 8912
89.1%
젖음/습기 967
 
9.7%
서리/결빙 68
 
0.7%
적설 41
 
0.4%
기타 12
 
0.1%

Length

2023-12-13T03:03:54.672019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:54.800709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 8912
89.1%
젖음/습기 967
 
9.7%
서리/결빙 68
 
0.7%
적설 41
 
0.4%
기타 12
 
0.1%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
맑음
8697 
비
 
725
흐림
 
418
눈
 
113
기타/불명
 
42

Length

Max length5
Median length2
Mean length1.9288
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 8697
87.0%
비 725
 
7.2%
흐림 418
 
4.2%
눈 113
 
1.1%
기타/불명 42
 
0.4%
안개 5
 
0.1%

Length

2023-12-13T03:03:54.968365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:55.431293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 8697
87.0%
비 725
 
7.2%
흐림 418
 
4.2%
눈 113
 
1.1%
기타/불명 42
 
0.4%
안개 5
 
< 0.1%

도로형태_대분류
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단일로
4942 
교차로
4844 
기타
 
144
기타/불명
 
68
불명
 
2

Length

Max length5
Median length3
Mean length2.999
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 4942
49.4%
교차로 4844
48.4%
기타 144
 
1.4%
기타/불명 68
 
0.7%
불명 2
 
< 0.1%

Length

2023-12-13T03:03:55.597601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:55.726236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 4942
49.4%
교차로 4844
48.4%
기타 144
 
1.4%
기타/불명 68
 
0.7%
불명 2
 
< 0.1%

도로형태
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타단일로
4728 
교차로내
3028 
교차로부근
1644 
교차로횡단보도내
 
172
기타
 
144
Other values (8)
 
284

Length

Max length9
Median length5
Mean length4.7021
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 4728
47.3%
교차로내 3028
30.3%
교차로부근 1644
 
16.4%
교차로횡단보도내 172
 
1.7%
기타 144
 
1.4%
횡단보도상 76
 
0.8%
기타/불명 68
 
0.7%
교량위 53
 
0.5%
고가도로위 32
 
0.3%
지하차도(도로)내 22
 
0.2%
Other values (3) 33
 
0.3%

Length

2023-12-13T03:03:55.885983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 4728
47.3%
교차로내 3028
30.3%
교차로부근 1644
 
16.4%
교차로횡단보도내 172
 
1.7%
기타 144
 
1.4%
횡단보도상 76
 
0.8%
기타/불명 68
 
0.7%
교량위 53
 
0.5%
고가도로위 32
 
0.3%
지하차도(도로)내 22
 
0.2%
Other values (3) 33
 
0.3%

가해자차종
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
7464 
화물차
959 
이륜차
 
497
승합차
 
468
불명
 
209
Other values (8)
 
403

Length

Max length11
Median length3
Mean length3.0639
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 7464
74.6%
화물차 959
 
9.6%
이륜차 497
 
5.0%
승합차 468
 
4.7%
불명 209
 
2.1%
자전거 180
 
1.8%
원동기장치자전거 135
 
1.4%
건설기계 46
 
0.5%
특수차 24
 
0.2%
개인형이동수단(PM) 12
 
0.1%
Other values (3) 6
 
0.1%

Length

2023-12-13T03:03:56.099971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 7464
74.6%
화물차 959
 
9.6%
이륜차 497
 
5.0%
승합차 468
 
4.7%
불명 209
 
2.1%
자전거 180
 
1.8%
원동기장치자전거 135
 
1.4%
건설기계 46
 
0.5%
특수차 24
 
0.2%
개인형이동수단(pm 12
 
0.1%
Other values (3) 6
 
0.1%

가해자성별
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
7543 
여
2190 
기타불명
 
267

Length

Max length4
Median length1
Mean length1.0801
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 7543
75.4%
여 2190
 
21.9%
기타불명 267
 
2.7%

Length

2023-12-13T03:03:56.285986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:56.448896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 7543
75.4%
여 2190
 
21.9%
기타불명 267
 
2.7%

가해자연령
Text

Distinct82
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T03:03:56.751267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9742
Min length2

Characters and Unicode

Total characters29742
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

Unique5 ?
Unique (%)< 0.1%

Sample

1st row46세
2nd row29세
3rd row42세
4th row35세
5th row37세
ValueCountFrequency (%)
58세 262
 
2.6%
57세 256
 
2.6%
불명 253
 
2.5%
50세 252
 
2.5%
59세 250
 
2.5%
53세 250
 
2.5%
56세 248
 
2.5%
55세 245
 
2.5%
49세 238
 
2.4%
45세 234
 
2.3%
Other values (72) 7512
75.1%
2023-12-13T03:03:57.281205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9747
32.8%
5 3432
 
11.5%
4 2910
 
9.8%
3 2559
 
8.6%
6 2431
 
8.2%
2 2416
 
8.1%
7 1416
 
4.8%
1 1231
 
4.1%
8 1101
 
3.7%
9 1025
 
3.4%
Other values (3) 1474
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19489
65.5%
Other Letter 10253
34.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3432
17.6%
4 2910
14.9%
3 2559
13.1%
6 2431
12.5%
2 2416
12.4%
7 1416
7.3%
1 1231
 
6.3%
8 1101
 
5.6%
9 1025
 
5.3%
0 968
 
5.0%
Other Letter
ValueCountFrequency (%)
세 9747
95.1%
불 253
 
2.5%
명 253
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
Common 19489
65.5%
Hangul 10253
34.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3432
17.6%
4 2910
14.9%
3 2559
13.1%
6 2431
12.5%
2 2416
12.4%
7 1416
7.3%
1 1231
 
6.3%
8 1101
 
5.6%
9 1025
 
5.3%
0 968
 
5.0%
Hangul
ValueCountFrequency (%)
세 9747
95.1%
불 253
 
2.5%
명 253
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19489
65.5%
Hangul 10253
34.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9747
95.1%
불 253
 
2.5%
명 253
 
2.5%
ASCII
ValueCountFrequency (%)
5 3432
17.6%
4 2910
14.9%
3 2559
13.1%
6 2431
12.5%
2 2416
12.4%
7 1416
7.3%
1 1231
 
6.3%
8 1101
 
5.6%
9 1025
 
5.3%
0 968
 
5.0%

가해자신체상해정도
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상해없음
7491 
경상
1362 
기타불명
 
652
중상
 
250
부상신고
 
210

Length

Max length4
Median length4
Mean length3.6706
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 7491
74.9%
경상 1362
 
13.6%
기타불명 652
 
6.5%
중상 250
 
2.5%
부상신고 210
 
2.1%
사망 35
 
0.4%

Length

2023-12-13T03:03:57.523215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:57.694108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 7491
74.9%
경상 1362
 
13.6%
기타불명 652
 
6.5%
중상 250
 
2.5%
부상신고 210
 
2.1%
사망 35
 
0.4%

피해자차종
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
5700 
보행자
1954 
이륜차
676 
화물차
 
518
없음
 
309
Other values (10)
843 

Length

Max length11
Median length3
Mean length3.083
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 5700
57.0%
보행자 1954
 
19.5%
이륜차 676
 
6.8%
화물차 518
 
5.2%
없음 309
 
3.1%
승합차 300
 
3.0%
자전거 280
 
2.8%
원동기장치자전거 196
 
2.0%
특수차 17
 
0.2%
개인형이동수단(PM) 17
 
0.2%
Other values (5) 33
 
0.3%

Length

2023-12-13T03:03:57.844231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 5700
57.0%
보행자 1954
 
19.5%
이륜차 676
 
6.8%
화물차 518
 
5.2%
없음 309
 
3.1%
승합차 300
 
3.0%
자전거 280
 
2.8%
원동기장치자전거 196
 
2.0%
특수차 17
 
0.2%
개인형이동수단(pm 17
 
0.2%
Other values (5) 33
 
0.3%

피해자성별
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
6789 
여
2887 
없음
 
309
기타불명
 
15

Length

Max length4
Median length1
Mean length1.0354
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 6789
67.9%
여 2887
28.9%
없음 309
 
3.1%
기타불명 15
 
0.1%

Length

2023-12-13T03:03:58.001307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:58.126151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 6789
67.9%
여 2887
28.9%
없음 309
 
3.1%
기타불명 15
 
0.1%

피해자연령
Text

Distinct98
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T03:03:58.416399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9534
Min length2

Characters and Unicode

Total characters29534
Distinct characters15
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 row42세
2nd row28세
3rd row43세
4th row51세
5th row36세
ValueCountFrequency (%)
불명 263
 
2.6%
51세 233
 
2.3%
50세 222
 
2.2%
36세 221
 
2.2%
47세 221
 
2.2%
35세 217
 
2.2%
34세 210
 
2.1%
41세 209
 
2.1%
55세 209
 
2.1%
54세 201
 
2.0%
Other values (88) 7794
77.9%
2023-12-13T03:03:58.972839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9676
32.8%
5 2936
 
9.9%
3 2873
 
9.7%
4 2864
 
9.7%
2 2450
 
8.3%
6 2044
 
6.9%
1 1531
 
5.2%
7 1414
 
4.8%
8 1137
 
3.8%
9 1009
 
3.4%
Other values (5) 1600
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19210
65.0%
Other Letter 10324
35.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2936
15.3%
3 2873
15.0%
4 2864
14.9%
2 2450
12.8%
6 2044
10.6%
1 1531
8.0%
7 1414
7.4%
8 1137
 
5.9%
9 1009
 
5.3%
0 952
 
5.0%
Other Letter
ValueCountFrequency (%)
세 9676
93.7%
불 263
 
2.5%
명 263
 
2.5%
없 61
 
0.6%
음 61
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 19210
65.0%
Hangul 10324
35.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2936
15.3%
3 2873
15.0%
4 2864
14.9%
2 2450
12.8%
6 2044
10.6%
1 1531
8.0%
7 1414
7.4%
8 1137
 
5.9%
9 1009
 
5.3%
0 952
 
5.0%
Hangul
ValueCountFrequency (%)
세 9676
93.7%
불 263
 
2.5%
명 263
 
2.5%
없 61
 
0.6%
음 61
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19210
65.0%
Hangul 10324
35.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9676
93.7%
불 263
 
2.5%
명 263
 
2.5%
없 61
 
0.6%
음 61
 
0.6%
ASCII
ValueCountFrequency (%)
5 2936
15.3%
3 2873
15.0%
4 2864
14.9%
2 2450
12.8%
6 2044
10.6%
1 1531
8.0%
7 1414
7.4%
8 1137
 
5.9%
9 1009
 
5.3%
0 952
 
5.0%

피해자신체상해정도
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
7036 
중상
1325 
상해없음
988 
없음
 
309
부상신고
 
190
Other values (2)
 
152

Length

Max length4
Median length2
Mean length2.254
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 7036
70.4%
중상 1325
 
13.2%
상해없음 988
 
9.9%
없음 309
 
3.1%
부상신고 190
 
1.9%
기타불명 92
 
0.9%
사망 60
 
0.6%

Length

2023-12-13T03:03:59.184170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:59.328081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 7036
70.4%
중상 1325
 
13.2%
상해없음 988
 
9.9%
없음 309
 
3.1%
부상신고 190
 
1.9%
기타불명 92
 
0.9%
사망 60
 
0.6%

음주사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9070 
True
930 
ValueCountFrequency (%)
False 9070
90.7%
True 930
 
9.3%
2023-12-13T03:03:59.468425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

무면허사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9757 
True
 
243
ValueCountFrequency (%)
False 9757
97.6%
True 243
 
2.4%
2023-12-13T03:03:59.598790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

뺑소니사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9481 
True
 
519
ValueCountFrequency (%)
False 9481
94.8%
True 519
 
5.2%
2023-12-13T03:03:59.709285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

어린이사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9411 
True
 
589
ValueCountFrequency (%)
False 9411
94.1%
True 589
 
5.9%
2023-12-13T03:03:59.804955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

어린이보호구역사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9956 
True
 
44
ValueCountFrequency (%)
False 9956
99.6%
True 44
 
0.4%
2023-12-13T03:03:59.918063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

노인사고여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8655 
True
1345 
ValueCountFrequency (%)
False 8655
86.6%
True 1345
 
13.5%
2023-12-13T03:04:00.034251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

무단횡단사고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9462 
True
 
538
ValueCountFrequency (%)
False 9462
94.6%
True 538
 
5.4%
2023-12-13T03:04:00.149272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

발생일발생시간발생요일시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자성별가해자연령가해자신체상해정도피해자차종피해자성별피해자연령피해자신체상해정도음주사고여부무면허사고여부뺑소니사고여부어린이사고여부어린이보호구역사고여부노인사고여부무단횡단사고여부
205552016-08-1213금광산구경상0010차대차측면충돌측면충돌교차로 통행방법 위반포장건조맑음교차로교차로내승용차여46세상해없음원동기장치자전거남42세경상NNNNNNN
339782015-06-2823일남구경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남29세기타불명보행자여28세경상NNNNNNN
190442016-12-3123토서구경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남42세상해없음보행자여43세경상NNNNNNN
54302016-04-1313수광산구중상0100차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로내승용차남35세상해없음이륜차남51세중상NNNNNNN
266122016-12-096금광산구경상0020차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남37세기타불명승용차남36세경상NNNNNNN
134942019-04-3021화서구경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로이륜차남17세경상승용차여51세상해없음NNNNNNN
103852018-07-1314금남구경상0010차대차후진중충돌후진중충돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차여37세상해없음승용차남30세경상NNNNNNN
139252018-06-1611토서구경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로화물차남53세상해없음보행자남12세경상NNNYNNY
11092016-05-031화서구경상0010차대차측면충돌측면충돌신호위반포장젖음/습기비교차로교차로내승용차남25세상해없음승용차여25세경상YYYNNNN
156982019-03-0611수서구경상0010차대차측면충돌측면충돌신호위반포장건조맑음단일로기타단일로승용차남70세상해없음승용차여61세경상NNNNNNN
발생일발생시간발생요일시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자성별가해자연령가해자신체상해정도피해자차종피해자성별피해자연령피해자신체상해정도음주사고여부무면허사고여부뺑소니사고여부어린이사고여부어린이보호구역사고여부노인사고여부무단횡단사고여부
10422016-01-1113월서구경상0020차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남55세상해없음승용차여68세경상NNNNNYN
12972016-06-030금남구경상0010차대차기타기타신호위반포장건조흐림교차로교차로내승용차남68세상해없음승용차여32세경상NNNNNNN
100232017-01-1119수북구경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로불명기타불명불명기타불명보행자남15세경상NNNNNNN
72862019-08-3018금광산구경상0010차대차측면충돌측면충돌안전거리 미확보포장건조맑음교차로교차로부근승합차남60세상해없음승용차남47세경상NNNNNNN
202522019-09-090월광산구경상0010차대차추돌추돌안전운전 의무 불이행포장젖음/습기비교차로교차로부근승용차남45세상해없음승용차남28세경상YYNNNNN
33022018-07-2912일북구경상0010차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승합차남53세상해없음보행자남33세경상NNNNNNN
343702015-06-2417수광산구중상0200차대사람횡단중횡단중안전운전 의무 불이행포장기타맑음단일로기타단일로이륜차남45세중상보행자남8세중상NYNYNNN
178612019-04-1818목서구경상0030차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음교차로교차로내승용차남28세상해없음승용차여39세경상NNNYNNN
361252017-02-2321목북구경상0010차대차추돌추돌안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남58세상해없음승용차여51세경상NNNNNNN
112852019-04-2512목서구경상0010차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승용차여51세상해없음보행자남29세경상NNYNNNN