Overview

Dataset statistics

Number of variables27
Number of observations746
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.4 KiB
Average record size in memory220.2 B

Variable types

DateTime1
Categorical22
Numeric2
Text2

Dataset

Description세종시 개별 교통사고 상세정보
Author도로교통공단
URLhttps://www.data.go.kr/data/15094183/fileData.do

Alerts

발생시군구 has constant value ""Constant
사망자수 is highly imbalanced (83.6%)Imbalance
부상신고자수 is highly imbalanced (89.1%)Imbalance
노면상태_대분류 is highly imbalanced (98.5%)Imbalance
노면상태 is highly imbalanced (78.5%)Imbalance
기상상태 is highly imbalanced (66.1%)Imbalance
가해차종 is highly imbalanced (50.2%)Imbalance
가해자 신체상해정도 is highly imbalanced (64.1%)Imbalance
중상자수 has 520 (69.7%) zerosZeros
경상자수 has 202 (27.1%) zerosZeros

Reproduction

Analysis started2024-04-20 16:34:26.315301
Analysis finished2024-04-20 16:34:26.787527
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct321
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
Minimum2017-01-03 00:00:00
Maximum2017-12-31 00:00:00
2024-04-21T01:34:26.953912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T01:34:27.367390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Categorical

Distinct24
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
17:00
64 
18:00
54 
19:00
53 
08:00
49 
16:00
 
42
Other values (19)
484 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22:00
2nd row07:00
3rd row07:00
4th row09:00
5th row17:00

Common Values

ValueCountFrequency (%)
17:00 64
 
8.6%
18:00 54
 
7.2%
19:00 53
 
7.1%
08:00 49
 
6.6%
16:00 42
 
5.6%
14:00 42
 
5.6%
15:00 40
 
5.4%
13:00 40
 
5.4%
09:00 39
 
5.2%
20:00 33
 
4.4%
Other values (14) 290
38.9%

Length

2024-04-21T01:34:27.778047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
17:00 64
 
8.6%
18:00 54
 
7.2%
19:00 53
 
7.1%
08:00 49
 
6.6%
16:00 42
 
5.6%
14:00 42
 
5.6%
15:00 40
 
5.4%
13:00 40
 
5.4%
09:00 39
 
5.2%
20:00 33
 
4.4%
Other values (14) 290
38.9%

요일
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
금
121 
목
119 
화
117 
수
116 
토
108 
Other values (2)
165 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화
2nd row목
3rd row금
4th row토
5th row토

Common Values

ValueCountFrequency (%)
금 121
16.2%
목 119
16.0%
화 117
15.7%
수 116
15.5%
토 108
14.5%
월 91
12.2%
일 74
9.9%

Length

2024-04-21T01:34:28.153018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:28.498044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 121
16.2%
목 119
16.0%
화 117
15.7%
수 116
15.5%
토 108
14.5%
월 91
12.2%
일 74
9.9%

발생시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
세종
746 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
세종 746
100.0%

Length

2024-04-21T01:34:28.905270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:29.229338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세종 746
100.0%

법정동명
Categorical

Distinct24
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
조치원읍
151 
어진동
62 
아름동
49 
금남면
43 
연기면
 
40
Other values (19)
401 

Length

Max length4
Median length3
Mean length3.2024129
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아름동
2nd row고운동
3rd row연동면
4th row어진동
5th row전의면

Common Values

ValueCountFrequency (%)
조치원읍 151
20.2%
어진동 62
 
8.3%
아름동 49
 
6.6%
금남면 43
 
5.8%
연기면 40
 
5.4%
종촌동 38
 
5.1%
고운동 36
 
4.8%
장군면 36
 
4.8%
연서면 32
 
4.3%
도담동 31
 
4.2%
Other values (14) 228
30.6%

Length

2024-04-21T01:34:29.563930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조치원읍 151
20.2%
어진동 62
 
8.3%
아름동 49
 
6.6%
금남면 43
 
5.8%
연기면 40
 
5.4%
종촌동 38
 
5.1%
고운동 36
 
4.8%
장군면 36
 
4.8%
연서면 32
 
4.3%
도담동 31
 
4.2%
Other values (14) 228
30.6%

사고내용
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
경상
488 
중상
225 
사망
 
18
부상신고
 
15

Length

Max length4
Median length2
Mean length2.0402145
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 488
65.4%
중상 225
30.2%
사망 18
 
2.4%
부상신고 15
 
2.0%

Length

2024-04-21T01:34:29.983510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:30.339643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 488
65.4%
중상 225
30.2%
사망 18
 
2.4%
부상신고 15
 
2.0%

사망자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
728 
1
 
18

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 (%)
0 728
97.6%
1 18
 
2.4%

Length

2024-04-21T01:34:30.707439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:31.022524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 728
97.6%
1 18
 
2.4%

중상자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36461126
Minimum0
Maximum5
Zeros520
Zeros (%)69.7%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T01:34:31.306901image/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 deviation0.63965777
Coefficient of variation (CV)1.7543555
Kurtosis8.1494414
Mean0.36461126
Median Absolute Deviation (MAD)0
Skewness2.3367684
Sum272
Variance0.40916206
MonotonicityNot monotonic
2024-04-21T01:34:31.656064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 520
69.7%
1 195
 
26.1%
2 20
 
2.7%
3 8
 
1.1%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
0 520
69.7%
1 195
 
26.1%
2 20
 
2.7%
3 8
 
1.1%
4 2
 
0.3%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
4 2
 
0.3%
3 8
 
1.1%
2 20
 
2.7%
1 195
 
26.1%
0 520
69.7%

경상자수
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0656836
Minimum0
Maximum9
Zeros202
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size6.7 KiB
2024-04-21T01:34:31.986496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0730259
Coefficient of variation (CV)1.0068897
Kurtosis10.888091
Mean1.0656836
Median Absolute Deviation (MAD)0
Skewness2.4900612
Sum795
Variance1.1513846
MonotonicityNot monotonic
2024-04-21T01:34:32.518966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 394
52.8%
0 202
27.1%
2 101
 
13.5%
3 22
 
2.9%
4 16
 
2.1%
5 5
 
0.7%
7 3
 
0.4%
6 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
0 202
27.1%
1 394
52.8%
2 101
 
13.5%
3 22
 
2.9%
4 16
 
2.1%
5 5
 
0.7%
6 1
 
0.1%
7 3
 
0.4%
8 1
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
9 1
 
0.1%
8 1
 
0.1%
7 3
 
0.4%
6 1
 
0.1%
5 5
 
0.7%
4 16
 
2.1%
3 22
 
2.9%
2 101
 
13.5%
1 394
52.8%
0 202
27.1%

부상신고자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
720 
1
 
21
2
 
3
10
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0013405
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 720
96.5%
1 21
 
2.8%
2 3
 
0.4%
10 1
 
0.1%
3 1
 
0.1%

Length

2024-04-21T01:34:32.899500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:33.237241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 720
96.5%
1 21
 
2.8%
2 3
 
0.4%
10 1
 
0.1%
3 1
 
0.1%

사고유형_대분류
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
차대차
609 
차대사람
109 
차량단독
 
28

Length

Max length4
Median length3
Mean length3.1836461
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 609
81.6%
차대사람 109
 
14.6%
차량단독 28
 
3.8%

Length

2024-04-21T01:34:33.609344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:33.938403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 609
81.6%
차대사람 109
 
14.6%
차량단독 28
 
3.8%

사고유형_중분류
Categorical

Distinct14
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
측면충돌
314 
추돌
169 
기타
125 
횡단중
66 
정면충돌
 
29
Other values (9)
43 

Length

Max length10
Median length9
Mean length3.1970509
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 314
42.1%
추돌 169
22.7%
기타 125
 
16.8%
횡단중 66
 
8.8%
정면충돌 29
 
3.9%
후진중충돌 10
 
1.3%
전도전복 10
 
1.3%
차도통행중 5
 
0.7%
길가장자리구역통행중 5
 
0.7%
공작물충돌 5
 
0.7%
Other values (4) 8
 
1.1%

Length

2024-04-21T01:34:34.334127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 314
42.0%
추돌 169
22.6%
기타 125
 
16.7%
횡단중 66
 
8.8%
정면충돌 29
 
3.9%
후진중충돌 10
 
1.3%
전도전복 10
 
1.3%
차도통행중 5
 
0.7%
길가장자리구역통행중 5
 
0.7%
공작물충돌 5
 
0.7%
Other values (5) 9
 
1.2%

사고유형
Categorical

Distinct14
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
측면충돌
314 
추돌
169 
기타
125 
횡단중
66 
정면충돌
 
29
Other values (9)
43 

Length

Max length10
Median length9
Mean length3.2010724
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 314
42.1%
추돌 169
22.7%
기타 125
 
16.8%
횡단중 66
 
8.8%
정면충돌 29
 
3.9%
후진중충돌 10
 
1.3%
전도전복 10
 
1.3%
차도통행중 5
 
0.7%
길가장자리구역통행중 5
 
0.7%
공작물충돌 5
 
0.7%
Other values (4) 8
 
1.1%

Length

2024-04-21T01:34:34.781984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 314
42.0%
추돌 169
22.6%
기타 126
16.8%
횡단중 66
 
8.8%
정면충돌 29
 
3.9%
후진중충돌 10
 
1.3%
전도전복 10
 
1.3%
차도통행중 5
 
0.7%
길가장자리구역통행중 5
 
0.7%
공작물충돌 5
 
0.7%
Other values (5) 9
 
1.2%

가해자법규위반
Categorical

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
안전운전 의무 불이행
504 
신호위반
109 
기타
 
48
중앙선 침범
 
39
보행자 보호의무 위반
 
19
Other values (3)
 
27

Length

Max length11
Median length11
Mean length9.0442359
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신호위반
2nd row신호위반
3rd row중앙선 침범
4th row안전운전 의무 불이행
5th row안전운전 의무 불이행

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 504
67.6%
신호위반 109
 
14.6%
기타 48
 
6.4%
중앙선 침범 39
 
5.2%
보행자 보호의무 위반 19
 
2.5%
안전거리 미확보 14
 
1.9%
교차로 통행방법 위반 10
 
1.3%
과속 3
 
0.4%

Length

2024-04-21T01:34:35.186340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:35.524498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 504
27.0%
의무 504
27.0%
불이행 504
27.0%
신호위반 109
 
5.8%
기타 48
 
2.6%
중앙선 39
 
2.1%
침범 39
 
2.1%
위반 29
 
1.6%
보행자 19
 
1.0%
보호의무 19
 
1.0%
Other values (5) 51
 
2.7%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
포장
745 
비포장
 
1

Length

Max length3
Median length2
Mean length2.0013405
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
포장 745
99.9%
비포장 1
 
0.1%

Length

2024-04-21T01:34:35.945711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:36.270043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 745
99.9%
비포장 1
 
0.1%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
건조
679 
젖음/습기
 
59
적설
 
3
기타
 
3
서리/결빙
 
2

Length

Max length5
Median length2
Mean length2.2453083
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 679
91.0%
젖음/습기 59
 
7.9%
적설 3
 
0.4%
기타 3
 
0.4%
서리/결빙 2
 
0.3%

Length

2024-04-21T01:34:36.630779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:36.975790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 679
91.0%
젖음/습기 59
 
7.9%
적설 3
 
0.4%
기타 3
 
0.4%
서리/결빙 2
 
0.3%

기상상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
맑음
637 
흐림
67 
비
 
35
눈
 
4
안개
 
3

Length

Max length2
Median length2
Mean length1.9477212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 637
85.4%
흐림 67
 
9.0%
비 35
 
4.7%
눈 4
 
0.5%
안개 3
 
0.4%

Length

2024-04-21T01:34:37.360185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:37.701219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 637
85.4%
흐림 67
 
9.0%
비 35
 
4.7%
눈 4
 
0.5%
안개 3
 
0.4%

도로형태_대분류
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
교차로
395 
단일로
316 
기타
 
30
주차장
 
5

Length

Max length3
Median length3
Mean length2.9597855
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교차로 395
52.9%
단일로 316
42.4%
기타 30
 
4.0%
주차장 5
 
0.7%

Length

2024-04-21T01:34:38.083890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:38.421833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교차로 395
52.9%
단일로 316
42.4%
기타 30
 
4.0%
주차장 5
 
0.7%

도로형태
Categorical

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
기타단일로
297 
교차로내
221 
교차로부근
144 
기타
30 
교차로횡단보도내
30 
Other values (5)
 
24

Length

Max length9
Median length5
Mean length4.6796247
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 297
39.8%
교차로내 221
29.6%
교차로부근 144
19.3%
기타 30
 
4.0%
교차로횡단보도내 30
 
4.0%
교량위 7
 
0.9%
주차장 5
 
0.7%
터널안 5
 
0.7%
지하차도(도로)내 4
 
0.5%
고가도로위 3
 
0.4%

Length

2024-04-21T01:34:38.806337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:39.163132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타단일로 297
39.8%
교차로내 221
29.6%
교차로부근 144
19.3%
기타 30
 
4.0%
교차로횡단보도내 30
 
4.0%
교량위 7
 
0.9%
주차장 5
 
0.7%
터널안 5
 
0.7%
지하차도(도로)내 4
 
0.5%
고가도로위 3
 
0.4%

가해차종
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
승용차
497 
화물차
111 
승합차
50 
이륜차
 
31
건설기계
 
16
Other values (6)
 
41

Length

Max length11
Median length3
Mean length3.080429
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 497
66.6%
화물차 111
 
14.9%
승합차 50
 
6.7%
이륜차 31
 
4.2%
건설기계 16
 
2.1%
자전거 13
 
1.7%
원동기장치자전거 9
 
1.2%
불명 9
 
1.2%
특수차 8
 
1.1%
농기계 1
 
0.1%

Length

2024-04-21T01:34:39.410810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 497
66.6%
화물차 111
 
14.9%
승합차 50
 
6.7%
이륜차 31
 
4.2%
건설기계 16
 
2.1%
자전거 13
 
1.7%
원동기장치자전거 9
 
1.2%
불명 9
 
1.2%
특수차 8
 
1.1%
농기계 1
 
0.1%

가해자성별
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
남
542 
여
196 
기타불명
 
8

Length

Max length4
Median length1
Mean length1.0321716
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 542
72.7%
여 196
 
26.3%
기타불명 8
 
1.1%

Length

2024-04-21T01:34:39.626015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:39.817994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 542
72.7%
여 196
 
26.3%
기타불명 8
 
1.1%

가해자연령
Text

Distinct70
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-21T01:34:40.590139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9879357
Min length2

Characters and Unicode

Total characters2229
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

Unique4 ?
Unique (%)0.5%

Sample

1st row42세
2nd row46세
3rd row37세
4th row42세
5th row32세
ValueCountFrequency (%)
55세 24
 
3.2%
59세 23
 
3.1%
53세 23
 
3.1%
32세 23
 
3.1%
48세 22
 
2.9%
36세 22
 
2.9%
27세 21
 
2.8%
56세 21
 
2.8%
45세 21
 
2.8%
57세 20
 
2.7%
Other values (60) 526
70.5%
2024-04-21T01:34:41.727749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 737
33.1%
5 271
 
12.2%
4 223
 
10.0%
3 221
 
9.9%
6 173
 
7.8%
2 168
 
7.5%
7 98
 
4.4%
8 87
 
3.9%
1 82
 
3.7%
9 76
 
3.4%
Other values (3) 93
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1474
66.1%
Other Letter 755
33.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 271
18.4%
4 223
15.1%
3 221
15.0%
6 173
11.7%
2 168
11.4%
7 98
 
6.6%
8 87
 
5.9%
1 82
 
5.6%
9 76
 
5.2%
0 75
 
5.1%
Other Letter
ValueCountFrequency (%)
세 737
97.6%
불 9
 
1.2%
명 9
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1474
66.1%
Hangul 755
33.9%

Most frequent character per script

Common
ValueCountFrequency (%)
5 271
18.4%
4 223
15.1%
3 221
15.0%
6 173
11.7%
2 168
11.4%
7 98
 
6.6%
8 87
 
5.9%
1 82
 
5.6%
9 76
 
5.2%
0 75
 
5.1%
Hangul
ValueCountFrequency (%)
세 737
97.6%
불 9
 
1.2%
명 9
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1474
66.1%
Hangul 755
33.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 737
97.6%
불 9
 
1.2%
명 9
 
1.2%
ASCII
ValueCountFrequency (%)
5 271
18.4%
4 223
15.1%
3 221
15.0%
6 173
11.7%
2 168
11.4%
7 98
 
6.6%
8 87
 
5.9%
1 82
 
5.6%
9 76
 
5.2%
0 75
 
5.1%

가해자 신체상해정도
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
상해없음
631 
경상
 
47
기타불명
 
28
중상
 
26
사망
 
8

Length

Max length4
Median length4
Mean length3.7828418
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 631
84.6%
경상 47
 
6.3%
기타불명 28
 
3.8%
중상 26
 
3.5%
사망 8
 
1.1%
부상신고 6
 
0.8%

Length

2024-04-21T01:34:41.969243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:42.191022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 631
84.6%
경상 47
 
6.3%
기타불명 28
 
3.8%
중상 26
 
3.5%
사망 8
 
1.1%
부상신고 6
 
0.8%

피해차종
Categorical

Distinct11
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
승용차
386 
보행자
109 
화물차
67 
이륜차
65 
자전거
42 
Other values (6)
77 

Length

Max length8
Median length3
Mean length3.0442359
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 386
51.7%
보행자 109
 
14.6%
화물차 67
 
9.0%
이륜차 65
 
8.7%
자전거 42
 
5.6%
승합차 30
 
4.0%
없음 27
 
3.6%
원동기장치자전거 11
 
1.5%
건설기계 5
 
0.7%
특수차 2
 
0.3%

Length

2024-04-21T01:34:42.408534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 386
51.7%
보행자 109
 
14.6%
화물차 67
 
9.0%
이륜차 65
 
8.7%
자전거 42
 
5.6%
승합차 30
 
4.0%
없음 27
 
3.6%
원동기장치자전거 11
 
1.5%
건설기계 5
 
0.7%
특수차 2
 
0.3%

피해자성별
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
남
511 
여
207 
없음
 
27
기타불명
 
1

Length

Max length4
Median length1
Mean length1.0402145
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
남 511
68.5%
여 207
27.7%
없음 27
 
3.6%
기타불명 1
 
0.1%

Length

2024-04-21T01:34:42.638346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:42.840737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 511
68.5%
여 207
27.7%
없음 27
 
3.6%
기타불명 1
 
0.1%

피해자연령
Text

Distinct83
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-04-21T01:34:43.633651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9383378
Min length2

Characters and Unicode

Total characters2192
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.9%

Sample

1st row42세
2nd row48세
3rd row53세
4th row30세
5th row83세
ValueCountFrequency (%)
불명 28
 
3.8%
38세 23
 
3.1%
39세 23
 
3.1%
30세 22
 
2.9%
34세 21
 
2.8%
36세 20
 
2.7%
53세 20
 
2.7%
46세 19
 
2.5%
42세 19
 
2.5%
35세 19
 
2.5%
Other values (73) 532
71.3%
2024-04-21T01:34:44.863229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 718
32.8%
3 241
 
11.0%
4 220
 
10.0%
5 206
 
9.4%
6 167
 
7.6%
2 155
 
7.1%
7 114
 
5.2%
1 98
 
4.5%
8 84
 
3.8%
9 75
 
3.4%
Other values (3) 114
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1418
64.7%
Other Letter 774
35.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 241
17.0%
4 220
15.5%
5 206
14.5%
6 167
11.8%
2 155
10.9%
7 114
8.0%
1 98
6.9%
8 84
 
5.9%
9 75
 
5.3%
0 58
 
4.1%
Other Letter
ValueCountFrequency (%)
세 718
92.8%
불 28
 
3.6%
명 28
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1418
64.7%
Hangul 774
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
3 241
17.0%
4 220
15.5%
5 206
14.5%
6 167
11.8%
2 155
10.9%
7 114
8.0%
1 98
6.9%
8 84
 
5.9%
9 75
 
5.3%
0 58
 
4.1%
Hangul
ValueCountFrequency (%)
세 718
92.8%
불 28
 
3.6%
명 28
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1418
64.7%
Hangul 774
35.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 718
92.8%
불 28
 
3.6%
명 28
 
3.6%
ASCII
ValueCountFrequency (%)
3 241
17.0%
4 220
15.5%
5 206
14.5%
6 167
11.8%
2 155
10.9%
7 114
8.0%
1 98
6.9%
8 84
 
5.9%
9 75
 
5.3%
0 58
 
4.1%

피해자 신체상해정도
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
경상
470 
중상
168 
상해없음
51 
없음
 
27
부상신고
 
13
Other values (2)
 
17

Length

Max length4
Median length2
Mean length2.1930295
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 470
63.0%
중상 168
 
22.5%
상해없음 51
 
6.8%
없음 27
 
3.6%
부상신고 13
 
1.7%
사망 9
 
1.2%
기타불명 8
 
1.1%

Length

2024-04-21T01:34:45.170126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T01:34:45.396846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 470
63.0%
중상 168
 
22.5%
상해없음 51
 
6.8%
없음 27
 
3.6%
부상신고 13
 
1.7%
사망 9
 
1.2%
기타불명 8
 
1.1%

Sample

발생일발생시간요일발생시군구법정동명사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해차종가해자성별가해자연령가해자 신체상해정도피해차종피해자성별피해자연령피해자 신체상해정도
02017-01-0322:00화세종아름동경상0010차대사람횡단중횡단중신호위반포장건조맑음교차로교차로내승용차남42세상해없음보행자남42세경상
12017-01-0507:00목세종고운동경상0020차대차측면충돌측면충돌신호위반포장건조맑음교차로교차로내승용차여46세상해없음승용차남48세경상
22017-01-0607:00금세종연동면사망1000차대사람횡단중횡단중중앙선 침범포장건조맑음기타기타승합차남37세상해없음보행자여53세사망
32017-01-0709:00토세종어진동중상0100차대사람횡단중횡단중안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남42세기타불명보행자남30세중상
42017-01-0717:00토세종전의면경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음교차로교차로내승용차남32세상해없음원동기장치자전거남83세경상
52017-01-0915:00월세종한솔동경상0020차대차기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남59세상해없음승용차여57세경상
62017-01-1006:00화세종금남면경상0010차대차측면충돌측면충돌신호위반포장건조맑음교차로교차로내화물차남46세상해없음승용차남63세경상
72017-01-1011:00화세종종촌동사망1010차대차기타기타안전운전 의무 불이행포장건조맑음단일로지하차도(도로)내승용차남32세사망승용차남57세경상
82017-01-1112:00수세종연기면경상0010차대차기타기타신호위반포장건조맑음교차로교차로내승용차여35세상해없음승용차남32세경상
92017-01-1214:00목세종연동면중상0110차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로내승용차남27세상해없음화물차남51세중상
발생일발생시간요일발생시군구법정동명사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해차종가해자성별가해자연령가해자 신체상해정도피해차종피해자성별피해자연령피해자 신체상해정도
7362017-12-2714:00수세종나성동경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남75세상해없음승용차여39세경상
7372017-12-2717:00수세종종촌동경상0010차대차추돌추돌안전운전 의무 불이행포장건조흐림교차로교차로부근승용차남48세상해없음승용차여48세경상
7382017-12-2806:00목세종연기면중상0200차대차기타기타신호위반포장건조흐림교차로교차로내승용차남63세상해없음승용차남55세중상
7392017-12-2818:00목세종보람동경상0020차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차여34세상해없음승용차여38세경상
7402017-12-2907:00금세종도담동경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남57세상해없음보행자남11세경상
7412017-12-2918:00금세종아름동경상0010차대차추돌추돌안전운전 의무 불이행포장건조맑음주차장주차장승용차여50세상해없음승용차남52세경상
7422017-12-3012:00토세종도담동중상0100차량단독기타기타기타포장건조맑음단일로기타단일로승합차남52세상해없음없음없음불명없음
7432017-12-3020:00토세종조치원읍중상0100차대차측면충돌측면충돌안전운전 의무 불이행포장젖음/습기비교차로교차로내승용차남56세상해없음이륜차남60세중상
7442017-12-3104:00일세종조치원읍경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음교차로교차로내승합차남26세상해없음자전거남40세경상
7452017-12-3118:00일세종소정면경상0020차대차추돌추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남62세상해없음승용차남37세경상