Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory230.0 B

Variable types

Numeric5
DateTime1
Categorical19
Text2

Dataset

Description* 경기도 교통사고 개별정보
Author도로교통공단
URLhttps://www.data.go.kr/data/15094172/fileData.do

Alerts

사망자수 is highly imbalanced (92.7%)Imbalance
노면상태_대분류 is highly imbalanced (97.8%)Imbalance
노면상태 is highly imbalanced (77.3%)Imbalance
기상상태 is highly imbalanced (77.0%)Imbalance
가해운전자 신체상해정도 is highly imbalanced (53.4%)Imbalance
통합(DB)사고번호 has unique valuesUnique
발생시간 has 343 (3.4%) zerosZeros
중상자수 has 6958 (69.6%) zerosZeros
경상자수 has 3006 (30.1%) zerosZeros
부상신고자수 has 8929 (89.3%) zerosZeros

Reproduction

Analysis started2023-12-11 23:25:29.822011
Analysis finished2023-12-11 23:25:30.388798
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통합(DB)사고번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0160588 × 1015
Minimum2.0160101 × 1015
Maximum2.0161112 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:25:30.448840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0160101 × 1015
5-th percentile2.0160118 × 1015
Q12.0160321 × 1015
median2.0160605 × 1015
Q32.0160825 × 1015
95-th percentile2.0161028 × 1015
Maximum2.0161112 × 1015
Range1.011 × 1011
Interquartile range (IQR)5.04 × 1010

Descriptive statistics

Standard deviation3.0043063 × 1010
Coefficient of variation (CV)1.4901879 × 10-5
Kurtosis-1.1776031
Mean2.0160588 × 1015
Median Absolute Deviation (MAD)2.77 × 1010
Skewness0.019622059
Sum1.7138435 × 1018
Variance9.0258566 × 1020
MonotonicityNot monotonic
2023-12-12T08:25:30.561570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2016102400100519 1
 
< 0.1%
2016092800100609 1
 
< 0.1%
2016102500100037 1
 
< 0.1%
2016012000100014 1
 
< 0.1%
2016011400100494 1
 
< 0.1%
2016091700100519 1
 
< 0.1%
2016052200100294 1
 
< 0.1%
2016021600100004 1
 
< 0.1%
2016062200100551 1
 
< 0.1%
2016031600100107 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2016010100100009 1
< 0.1%
2016010100100036 1
< 0.1%
2016010100100042 1
< 0.1%
2016010100100084 1
< 0.1%
2016010100100100 1
< 0.1%
2016010100100122 1
< 0.1%
2016010100100123 1
< 0.1%
2016010100100152 1
< 0.1%
2016010100100188 1
< 0.1%
2016010100100217 1
< 0.1%
ValueCountFrequency (%)
2016111200100419 1
< 0.1%
2016111200100384 1
< 0.1%
2016111200100378 1
< 0.1%
2016111200100375 1
< 0.1%
2016111200100363 1
< 0.1%
2016111200100327 1
< 0.1%
2016111200100298 1
< 0.1%
2016111200100260 1
< 0.1%
2016111200100226 1
< 0.1%
2016111200100217 1
< 0.1%

발생일
Date

Distinct317
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-01 00:00:00
Maximum2016-11-12 00:00:00
2023-12-12T08:25:30.662310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:25:30.764576image/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%
Mean13.438
Minimum0
Maximum23
Zeros343
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:25:30.872502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median14
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.1804835
Coefficient of variation (CV)0.45992584
Kurtosis-0.69555362
Mean13.438
Median Absolute Deviation (MAD)5
Skewness-0.43527013
Sum134380
Variance38.198376
MonotonicityNot monotonic
2023-12-12T08:25:30.962378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 720
 
7.2%
19 615
 
6.2%
8 611
 
6.1%
17 590
 
5.9%
16 551
 
5.5%
20 546
 
5.5%
15 542
 
5.4%
14 527
 
5.3%
21 494
 
4.9%
13 491
 
4.9%
Other values (14) 4313
43.1%
ValueCountFrequency (%)
0 343
3.4%
1 202
 
2.0%
2 171
 
1.7%
3 117
 
1.2%
4 141
 
1.4%
5 199
 
2.0%
6 240
 
2.4%
7 351
3.5%
8 611
6.1%
9 430
4.3%
ValueCountFrequency (%)
23 348
3.5%
22 461
4.6%
21 494
4.9%
20 546
5.5%
19 615
6.2%
18 720
7.2%
17 590
5.9%
16 551
5.5%
15 542
5.4%
14 527
5.3%

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
금
1640 
수
1509 
토
1480 
월
1460 
목
1401 
Other values (2)
2510 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금 1640
16.4%
수 1509
15.1%
토 1480
14.8%
월 1460
14.6%
목 1401
14.0%
화 1375
13.8%
일 1135
11.3%

Length

2023-12-12T08:25:31.064639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:31.174878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 1640
16.4%
수 1509
15.1%
토 1480
14.8%
월 1460
14.6%
목 1401
14.0%
화 1375
13.8%
일 1135
11.3%

발생지_시군구
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
1026 
안산시
741 
고양시
738 
성남시
731 
용인시
 
595
Other values (26)
6169 

Length

Max length4
Median length3
Mean length3.0842
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용인시
2nd row수원시
3rd row안산시
4th row고양시
5th row광주시

Common Values

ValueCountFrequency (%)
수원시 1026
 
10.3%
안산시 741
 
7.4%
고양시 738
 
7.4%
성남시 731
 
7.3%
용인시 595
 
5.9%
부천시 570
 
5.7%
평택시 549
 
5.5%
화성시 497
 
5.0%
남양주시 466
 
4.7%
시흥시 425
 
4.2%
Other values (21) 3662
36.6%

Length

2023-12-12T08:25:31.287877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1026
 
10.3%
안산시 741
 
7.4%
고양시 738
 
7.4%
성남시 731
 
7.3%
용인시 595
 
5.9%
부천시 570
 
5.7%
평택시 549
 
5.5%
화성시 497
 
5.0%
남양주시 466
 
4.7%
시흥시 425
 
4.2%
Other values (21) 3662
36.6%

사고내용
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
6169 
중상
3019 
부상신고
663 
사망
 
149

Length

Max length4
Median length2
Mean length2.1326
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 6169
61.7%
중상 3019
30.2%
부상신고 663
 
6.6%
사망 149
 
1.5%

Length

2023-12-12T08:25:31.405190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:31.504371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 6169
61.7%
중상 3019
30.2%
부상신고 663
 
6.6%
사망 149
 
1.5%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9851 
1
 
141
2
 
8

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 9851
98.5%
1 141
 
1.4%
2 8
 
0.1%

Length

2023-12-12T08:25:31.607512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:31.685511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9851
98.5%
1 141
 
1.4%
2 8
 
0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3565
Minimum0
Maximum7
Zeros6958
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:25:31.777971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61517932
Coefficient of variation (CV)1.7256082
Kurtosis10.796426
Mean0.3565
Median Absolute Deviation (MAD)0
Skewness2.4107568
Sum3565
Variance0.37844559
MonotonicityNot monotonic
2023-12-12T08:25:31.900753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 6958
69.6%
1 2660
 
26.6%
2 291
 
2.9%
3 62
 
0.6%
4 16
 
0.2%
5 7
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
0 6958
69.6%
1 2660
 
26.6%
2 291
 
2.9%
3 62
 
0.6%
4 16
 
0.2%
5 7
 
0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 4
 
< 0.1%
5 7
 
0.1%
4 16
 
0.2%
3 62
 
0.6%
2 291
 
2.9%
1 2660
 
26.6%
0 6958
69.6%

경상자수
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0479
Minimum0
Maximum30
Zeros3006
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:25:31.999514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1414622
Coefficient of variation (CV)1.0892854
Kurtosis55.809829
Mean1.0479
Median Absolute Deviation (MAD)1
Skewness4.1543937
Sum10479
Variance1.3029359
MonotonicityNot monotonic
2023-12-12T08:25:32.106195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 4931
49.3%
0 3006
30.1%
2 1310
 
13.1%
3 448
 
4.5%
4 160
 
1.6%
5 68
 
0.7%
6 31
 
0.3%
7 16
 
0.2%
8 12
 
0.1%
9 8
 
0.1%
Other values (7) 10
 
0.1%
ValueCountFrequency (%)
0 3006
30.1%
1 4931
49.3%
2 1310
 
13.1%
3 448
 
4.5%
4 160
 
1.6%
5 68
 
0.7%
6 31
 
0.3%
7 16
 
0.2%
8 12
 
0.1%
9 8
 
0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
16 1
 
< 0.1%
14 1
 
< 0.1%
13 1
 
< 0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
10 3
 
< 0.1%
9 8
0.1%
8 12
0.1%
7 16
0.2%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1353
Minimum0
Maximum13
Zeros8929
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:25:32.198689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.49296877
Coefficient of variation (CV)3.6435238
Kurtosis119.18739
Mean0.1353
Median Absolute Deviation (MAD)0
Skewness8.0156669
Sum1353
Variance0.24301821
MonotonicityNot monotonic
2023-12-12T08:25:32.301554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 8929
89.3%
1 924
 
9.2%
2 93
 
0.9%
3 20
 
0.2%
4 18
 
0.2%
6 6
 
0.1%
5 4
 
< 0.1%
7 2
 
< 0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
0 8929
89.3%
1 924
 
9.2%
2 93
 
0.9%
3 20
 
0.2%
4 18
 
0.2%
5 4
 
< 0.1%
6 6
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
< 0.1%
6 6
 
0.1%
5 4
 
< 0.1%
4 18
 
0.2%
3 20
 
0.2%
2 93
0.9%

사고유형_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차대차
7646 
차대사람
1928 
차량단독
 
426

Length

Max length4
Median length3
Mean length3.2354
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 7646
76.5%
차대사람 1928
 
19.3%
차량단독 426
 
4.3%

Length

2023-12-12T08:25:32.406427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:32.495351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 7646
76.5%
차대사람 1928
 
19.3%
차량단독 426
 
4.3%

사고유형_중분류
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3283 
기타
2296 
추돌
1948 
횡단중
1057 
정면충돌
860 
Other values (7)
556 

Length

Max length10
Median length9
Mean length3.1351
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 3283
32.8%
기타 2296
23.0%
추돌 1948
19.5%
횡단중 1057
 
10.6%
정면충돌 860
 
8.6%
전도전복 146
 
1.5%
차도통행중 142
 
1.4%
길가장자리구역통행중 99
 
1.0%
공작물충돌 89
 
0.9%
보도통행중 66
 
0.7%
Other values (2) 14
 
0.1%

Length

2023-12-12T08:25:32.621502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3283
32.8%
기타 2296
23.0%
추돌 1948
19.5%
횡단중 1057
 
10.6%
정면충돌 860
 
8.6%
전도전복 146
 
1.5%
차도통행중 142
 
1.4%
길가장자리구역통행중 99
 
1.0%
공작물충돌 89
 
0.9%
보도통행중 66
 
0.7%
Other values (3) 15
 
0.1%

사고유형
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3283 
기타
2296 
진행중 추돌
1948 
횡단중
1057 
정면충돌
860 
Other values (8)
556 

Length

Max length10
Median length9
Mean length3.9182
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 3283
32.8%
기타 2296
23.0%
진행중 추돌 1948
19.5%
횡단중 1057
 
10.6%
정면충돌 860
 
8.6%
전도전복 146
 
1.5%
차도통행중 142
 
1.4%
길가장자리구역통행중 99
 
1.0%
공작물충돌 89
 
0.9%
보도통행중 66
 
0.7%
Other values (3) 14
 
0.1%

Length

2023-12-12T08:25:32.750647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3283
27.4%
기타 2300
19.2%
진행중 1948
16.3%
추돌 1948
16.3%
횡단중 1057
 
8.8%
정면충돌 860
 
7.2%
전도전복 146
 
1.2%
차도통행중 142
 
1.2%
길가장자리구역통행중 99
 
0.8%
공작물충돌 89
 
0.7%
Other values (5) 90
 
0.8%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전운전 의무 불이행
5540 
신호위반
1289 
안전거리 미확보
958 
기타
740 
교차로 통행방법 위반
713 
Other values (3)
760 

Length

Max length11
Median length11
Mean length8.8832
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 5540
55.4%
신호위반 1289
 
12.9%
안전거리 미확보 958
 
9.6%
기타 740
 
7.4%
교차로 통행방법 위반 713
 
7.1%
중앙선 침범 452
 
4.5%
보행자 보호의무 위반 269
 
2.7%
과속 39
 
0.4%

Length

2023-12-12T08:25:32.861120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:32.974636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 5540
22.7%
의무 5540
22.7%
불이행 5540
22.7%
신호위반 1289
 
5.3%
위반 982
 
4.0%
안전거리 958
 
3.9%
미확보 958
 
3.9%
기타 740
 
3.0%
교차로 713
 
2.9%
통행방법 713
 
2.9%
Other values (5) 1481
 
6.1%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
포장
9979 
비포장
 
21

Length

Max length3
Median length2
Mean length2.0021
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포장 9979
99.8%
비포장 21
 
0.2%

Length

2023-12-12T08:25:33.110667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:33.190328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 9979
99.8%
비포장 21
 
0.2%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건조
9089 
젖음/습기
 
744
기타
 
92
서리/결빙
 
50
적설
 
25

Length

Max length5
Median length2
Mean length2.2382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 9089
90.9%
젖음/습기 744
 
7.4%
기타 92
 
0.9%
서리/결빙 50
 
0.5%
적설 25
 
0.2%

Length

2023-12-12T08:25:33.291086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:33.381998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 9089
90.9%
젖음/습기 744
 
7.4%
기타 92
 
0.9%
서리/결빙 50
 
0.5%
적설 25
 
0.2%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
맑음
9051 
비
 
572
흐림
 
251
기타/불명
 
64
눈
 
54

Length

Max length5
Median length2
Mean length1.9566
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 9051
90.5%
비 572
 
5.7%
흐림 251
 
2.5%
기타/불명 64
 
0.6%
눈 54
 
0.5%
안개 8
 
0.1%

Length

2023-12-12T08:25:33.479407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:33.582288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 9051
90.5%
비 572
 
5.7%
흐림 251
 
2.5%
기타/불명 64
 
0.6%
눈 54
 
0.5%
안개 8
 
0.1%

도로형태_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단일로
5115 
교차로
4572 
기타/불명
 
313

Length

Max length5
Median length3
Mean length3.0626
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 5115
51.1%
교차로 4572
45.7%
기타/불명 313
 
3.1%

Length

2023-12-12T08:25:33.684683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:33.783371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 5115
51.1%
교차로 4572
45.7%
기타/불명 313
 
3.1%

도로형태
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타단일로
4761 
교차로내
2942 
교차로부근
1630 
기타/불명
 
313
횡단보도상
 
209
Other values (5)
 
145

Length

Max length9
Median length5
Mean length4.7047
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 4761
47.6%
교차로내 2942
29.4%
교차로부근 1630
 
16.3%
기타/불명 313
 
3.1%
횡단보도상 209
 
2.1%
횡단보도부근 55
 
0.5%
교량위 42
 
0.4%
고가도로위 18
 
0.2%
터널안 17
 
0.2%
지하차도(도로)내 13
 
0.1%

Length

2023-12-12T08:25:33.885673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:34.007601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타단일로 4761
47.6%
교차로내 2942
29.4%
교차로부근 1630
 
16.3%
기타/불명 313
 
3.1%
횡단보도상 209
 
2.1%
횡단보도부근 55
 
0.5%
교량위 42
 
0.4%
고가도로위 18
 
0.2%
터널안 17
 
0.2%
지하차도(도로)내 13
 
0.1%

가해운전자 차종
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
6477 
화물차
1218 
승합차
870 
이륜차
 
502
자전거
 
297
Other values (5)
 
636

Length

Max length8
Median length3
Mean length3.0985
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 6477
64.8%
화물차 1218
 
12.2%
승합차 870
 
8.7%
이륜차 502
 
5.0%
자전거 297
 
3.0%
불명 206
 
2.1%
원동기장치자전거 205
 
2.1%
건설기계 166
 
1.7%
특수차 51
 
0.5%
농기계 8
 
0.1%

Length

2023-12-12T08:25:34.126798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:34.233054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용차 6477
64.8%
화물차 1218
 
12.2%
승합차 870
 
8.7%
이륜차 502
 
5.0%
자전거 297
 
3.0%
불명 206
 
2.1%
원동기장치자전거 205
 
2.1%
건설기계 166
 
1.7%
특수차 51
 
0.5%
농기계 8
 
0.1%

가해운전자 성별
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
7784 
여
1943 
기타불명
 
273

Length

Max length4
Median length1
Mean length1.0819
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 7784
77.8%
여 1943
 
19.4%
기타불명 273
 
2.7%

Length

2023-12-12T08:25:34.346925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:34.439290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 7784
77.8%
여 1943
 
19.4%
기타불명 273
 
2.7%

가해운전자 연령
Text

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:25:34.669056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9741
Min length2

Characters and Unicode

Total characters29741
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 row41세
2nd row49세
3rd row33세
4th row52세
5th row66세
ValueCountFrequency (%)
50세 305
 
3.0%
56세 295
 
2.9%
55세 286
 
2.9%
52세 265
 
2.6%
54세 264
 
2.6%
53세 260
 
2.6%
51세 260
 
2.6%
49세 259
 
2.6%
45세 257
 
2.6%
47세 252
 
2.5%
Other values (76) 7297
73.0%
2023-12-12T08:25:35.009808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9753
32.8%
5 3594
 
12.1%
4 3246
 
10.9%
3 2715
 
9.1%
6 2251
 
7.6%
2 2137
 
7.2%
7 1344
 
4.5%
1 1256
 
4.2%
9 1001
 
3.4%
8 992
 
3.3%
Other values (3) 1452
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19494
65.5%
Other Letter 10247
34.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3594
18.4%
4 3246
16.7%
3 2715
13.9%
6 2251
11.5%
2 2137
11.0%
7 1344
 
6.9%
1 1256
 
6.4%
9 1001
 
5.1%
8 992
 
5.1%
0 958
 
4.9%
Other Letter
ValueCountFrequency (%)
세 9753
95.2%
불 247
 
2.4%
명 247
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
Common 19494
65.5%
Hangul 10247
34.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3594
18.4%
4 3246
16.7%
3 2715
13.9%
6 2251
11.5%
2 2137
11.0%
7 1344
 
6.9%
1 1256
 
6.4%
9 1001
 
5.1%
8 992
 
5.1%
0 958
 
4.9%
Hangul
ValueCountFrequency (%)
세 9753
95.2%
불 247
 
2.4%
명 247
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19494
65.5%
Hangul 10247
34.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9753
95.2%
불 247
 
2.4%
명 247
 
2.4%
ASCII
ValueCountFrequency (%)
5 3594
18.4%
4 3246
16.7%
3 2715
13.9%
6 2251
11.5%
2 2137
11.0%
7 1344
 
6.9%
1 1256
 
6.4%
9 1001
 
5.1%
8 992
 
5.1%
0 958
 
4.9%

가해운전자 신체상해정도
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상해없음
7799 
기타불명
 
736
경상
 
724
중상
 
361
부상신고
 
330

Length

Max length4
Median length4
Mean length3.773
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 7799
78.0%
기타불명 736
 
7.4%
경상 724
 
7.2%
중상 361
 
3.6%
부상신고 330
 
3.3%
사망 50
 
0.5%

Length

2023-12-12T08:25:35.130201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:35.249728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 7799
78.0%
기타불명 736
 
7.4%
경상 724
 
7.2%
중상 361
 
3.6%
부상신고 330
 
3.3%
사망 50
 
0.5%

피해운전자 차종
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
4914 
보행자
1929 
화물차
716 
이륜차
641 
승합차
523 
Other values (7)
1277 

Length

Max length8
Median length3
Mean length3.1052
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 4914
49.1%
보행자 1929
 
19.3%
화물차 716
 
7.2%
이륜차 641
 
6.4%
승합차 523
 
5.2%
자전거 470
 
4.7%
없음 424
 
4.2%
원동기장치자전거 287
 
2.9%
건설기계 50
 
0.5%
특수차 31
 
0.3%
Other values (2) 15
 
0.1%

Length

2023-12-12T08:25:35.600991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 4914
49.1%
보행자 1929
 
19.3%
화물차 716
 
7.2%
이륜차 641
 
6.4%
승합차 523
 
5.2%
자전거 470
 
4.7%
없음 424
 
4.2%
원동기장치자전거 287
 
2.9%
건설기계 50
 
0.5%
특수차 31
 
0.3%
Other values (2) 15
 
0.1%

피해운전자 성별
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
6921 
여
2641 
없음
 
424
기타불명
 
14

Length

Max length4
Median length1
Mean length1.0466
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 6921
69.2%
여 2641
 
26.4%
없음 424
 
4.2%
기타불명 14
 
0.1%

Length

2023-12-12T08:25:35.720679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:35.818046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 6921
69.2%
여 2641
 
26.4%
없음 424
 
4.2%
기타불명 14
 
0.1%

피해운전자 연령
Text

Distinct99
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:25:36.089636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9393
Min length2

Characters and Unicode

Total characters29393
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 row56세
2nd row34세
3rd row59세
4th row59세
5th row45세
ValueCountFrequency (%)
불명 438
 
4.4%
56세 259
 
2.6%
47세 244
 
2.4%
53세 243
 
2.4%
57세 239
 
2.4%
54세 232
 
2.3%
46세 231
 
2.3%
48세 230
 
2.3%
51세 225
 
2.2%
49세 224
 
2.2%
Other values (89) 7435
74.4%
2023-12-12T08:25:36.486790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9562
32.5%
5 3176
 
10.8%
4 3102
 
10.6%
3 2702
 
9.2%
2 2114
 
7.2%
6 2038
 
6.9%
7 1476
 
5.0%
1 1454
 
4.9%
8 1078
 
3.7%
9 947
 
3.2%
Other values (3) 1744
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18955
64.5%
Other Letter 10438
35.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 3176
16.8%
4 3102
16.4%
3 2702
14.3%
2 2114
11.2%
6 2038
10.8%
7 1476
7.8%
1 1454
7.7%
8 1078
 
5.7%
9 947
 
5.0%
0 868
 
4.6%
Other Letter
ValueCountFrequency (%)
세 9562
91.6%
불 438
 
4.2%
명 438
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Common 18955
64.5%
Hangul 10438
35.5%

Most frequent character per script

Common
ValueCountFrequency (%)
5 3176
16.8%
4 3102
16.4%
3 2702
14.3%
2 2114
11.2%
6 2038
10.8%
7 1476
7.8%
1 1454
7.7%
8 1078
 
5.7%
9 947
 
5.0%
0 868
 
4.6%
Hangul
ValueCountFrequency (%)
세 9562
91.6%
불 438
 
4.2%
명 438
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18955
64.5%
Hangul 10438
35.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9562
91.6%
불 438
 
4.2%
명 438
 
4.2%
ASCII
ValueCountFrequency (%)
5 3176
16.8%
4 3102
16.4%
3 2702
14.3%
2 2114
11.2%
6 2038
10.8%
7 1476
7.8%
1 1454
7.7%
8 1078
 
5.7%
9 947
 
5.0%
0 868
 
4.6%

피해운전자 신체상해정도
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
5655 
중상
2175 
상해없음
1080 
부상신고
 
478
없음
 
424
Other values (2)
 
188

Length

Max length4
Median length2
Mean length2.3326
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 5655
56.5%
중상 2175
 
21.8%
상해없음 1080
 
10.8%
부상신고 478
 
4.8%
없음 424
 
4.2%
기타불명 105
 
1.1%
사망 83
 
0.8%

Length

2023-12-12T08:25:36.613300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:25:36.723691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 5655
56.5%
중상 2175
 
21.8%
상해없음 1080
 
10.8%
부상신고 478
 
4.8%
없음 424
 
4.2%
기타불명 105
 
1.1%
사망 83
 
0.8%

Sample

통합(DB)사고번호발생일발생시간요일발생지_시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해운전자 차종가해운전자 성별가해운전자 연령가해운전자 신체상해정도피해운전자 차종피해운전자 성별피해운전자 연령피해운전자 신체상해정도
4099220161024001005192016-10-2418월용인시부상신고0001차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음교차로교차로내승합차남41세상해없음승합차남56세상해없음
3419020160906001002272016-09-0612화수원시경상0021차대차측면충돌측면충돌기타포장건조맑음교차로교차로내승용차여49세부상신고승용차여34세경상
260220160120001005382016-01-2022수안산시경상0020차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남33세상해없음승용차남59세경상
2578920160706001005212016-07-0620수고양시경상0020차대차기타기타신호위반포장건조맑음교차로교차로부근승용차남52세상해없음승용차남59세경상
3901320161011001001972016-10-1111화광주시경상0010차대차정면충돌정면충돌중앙선 침범포장건조맑음교차로교차로부근원동기장치자전거남66세상해없음승용차여45세경상
1991420160524001004792016-05-2418화부천시중상0100차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음교차로교차로내승용차여48세상해없음이륜차남49세중상
2451720160627001001362016-06-279월수원시경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음교차로교차로내승용차여54세상해없음화물차남59세경상
480620160204001003052016-02-0413목성남시경상0010차대차기타기타기타포장건조맑음교차로교차로부근화물차남52세상해없음이륜차남22세경상
3694720160927001005382016-09-2718화남양주시경상0030차대차기타기타안전운전 의무 불이행포장젖음/습기비교차로교차로부근승용차남26세상해없음승용차여46세경상
1732320160506001004292016-05-0617금양주시부상신고0001차대차측면충돌측면충돌안전거리 미확보포장건조맑음단일로기타단일로화물차남65세상해없음승용차남48세부상신고
통합(DB)사고번호발생일발생시간요일발생지_시군구사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해운전자 차종가해운전자 성별가해운전자 연령가해운전자 신체상해정도피해운전자 차종피해운전자 성별피해운전자 연령피해운전자 신체상해정도
170420160115001000072016-01-150금김포시사망1000차대차정면충돌정면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로화물차남60세사망화물차남38세기타불명
2648020160711001004682016-07-1118월군포시중상0220차대차추돌진행중 추돌신호위반포장건조맑음교차로교차로부근승합차남46세상해없음승용차남46세중상
3159520160819001002002016-08-1911금안성시경상0010차대사람기타기타안전운전 의무 불이행포장건조맑음기타/불명기타/불명승용차남52세상해없음보행자남63세경상
3531520160914001001172016-09-146수남양주시경상0010차대차정면충돌정면충돌중앙선 침범포장건조맑음단일로기타단일로승용차남44세상해없음승용차여48세경상
1899120160518001003012016-05-1813수용인시경상0011차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로화물차남43세상해없음승용차남51세경상
3961820161015001000332016-10-151토화성시경상0010차대차측면충돌측면충돌안전운전 의무 불이행포장건조맑음단일로기타단일로승용차남18세경상건설기계남49세상해없음
1759120160508001003902016-05-0817일부천시경상0010차대차추돌진행중 추돌안전거리 미확보포장건조맑음교차로교차로내이륜차남21세경상승용차남45세상해없음
3220420160823001004162016-08-2318화안양시중상0100차대사람보도통행중보도통행중기타포장건조맑음단일로기타단일로자전거남15세상해없음보행자남3세중상
2333620160618001001052016-06-187토안산시중상0100차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승용차여47세상해없음보행자여79세중상
2039420160528001000502016-05-282토김포시중상0100차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로내승용차여49세상해없음승용차여52세중상