Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells4
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory229.0 B

Variable types

DateTime1
Numeric4
Categorical19
Text3

Dataset

Description65세이상 고령운전자 교통사고 개별 상세정보
Author도로교통공단
URLhttps://www.data.go.kr/data/15094177/fileData.do

Alerts

사망자수 is highly imbalanced (86.5%)Imbalance
노면상태_대분류 is highly imbalanced (97.1%)Imbalance
노면상태 is highly imbalanced (72.9%)Imbalance
기상상태 is highly imbalanced (71.2%)Imbalance
가해자성별 is highly imbalanced (78.5%)Imbalance
발생시간 has 138 (1.4%) zerosZeros
중상자수 has 5995 (60.0%) zerosZeros
경상자수 has 3873 (38.7%) zerosZeros
부상신고자수 has 9374 (93.7%) zerosZeros

Reproduction

Analysis started2023-12-13 00:51:32.318140
Analysis finished2023-12-13 00:51:33.007092
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct1086
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-01-01 00:00:00
Maximum2013-12-22 00:00:00
2023-12-13T09:51:33.060779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:51:33.161855image/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%
Mean13.0481
Minimum0
Maximum23
Zeros138
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:51:33.252785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median13
Q317
95-th percentile21
Maximum23
Range23
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.0630376
Coefficient of variation (CV)0.38802873
Kurtosis-0.4005386
Mean13.0481
Median Absolute Deviation (MAD)4
Skewness-0.26001391
Sum130481
Variance25.63435
MonotonicityNot monotonic
2023-12-13T09:51:33.553977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
17 707
 
7.1%
11 705
 
7.0%
16 700
 
7.0%
18 678
 
6.8%
15 671
 
6.7%
10 664
 
6.6%
14 657
 
6.6%
9 643
 
6.4%
13 614
 
6.1%
8 601
 
6.0%
Other values (14) 3360
33.6%
ValueCountFrequency (%)
0 138
 
1.4%
1 96
 
1.0%
2 72
 
0.7%
3 60
 
0.6%
4 108
 
1.1%
5 201
 
2.0%
6 273
2.7%
7 373
3.7%
8 601
6.0%
9 643
6.4%
ValueCountFrequency (%)
23 157
 
1.6%
22 222
 
2.2%
21 241
 
2.4%
20 358
3.6%
19 467
4.7%
18 678
6.8%
17 707
7.1%
16 700
7.0%
15 671
6.7%
14 657
6.6%

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
월
1553 
수
1532 
금
1504 
화
1486 
목
1474 
Other values (2)
2451 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
월 1553
15.5%
수 1532
15.3%
금 1504
15.0%
화 1486
14.9%
목 1474
14.7%
토 1429
14.3%
일 1022
10.2%

Length

2023-12-13T09:51:33.650235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:33.749840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월 1553
15.5%
수 1532
15.3%
금 1504
15.0%
화 1486
14.9%
목 1474
14.7%
토 1429
14.3%
일 1022
10.2%

발생지_시군구
Text

Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:51:34.019174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.9926
Min length2

Characters and Unicode

Total characters29926
Distinct characters133
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

Unique0 ?
Unique (%)0.0%

Sample

1st row동대문구
2nd row합천군
3rd row성동구
4th row봉화군
5th row진도군
ValueCountFrequency (%)
중구 273
 
2.7%
서구 257
 
2.6%
북구 239
 
2.4%
남구 231
 
2.3%
동구 226
 
2.3%
강남구 154
 
1.5%
창원시(통합 146
 
1.5%
청주시 139
 
1.4%
경주시 138
 
1.4%
전주시 122
 
1.2%
Other values (198) 8075
80.8%
2023-12-13T09:51:34.405744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 4376
 
14.6%
구 3999
 
13.4%
군 1931
 
6.5%
주 1269
 
4.2%
천 897
 
3.0%
성 750
 
2.5%
동 740
 
2.5%
남 734
 
2.5%
서 713
 
2.4%
산 697
 
2.3%
Other values (123) 13820
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29634
99.0%
Close Punctuation 146
 
0.5%
Open Punctuation 146
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4376
 
14.8%
구 3999
 
13.5%
군 1931
 
6.5%
주 1269
 
4.3%
천 897
 
3.0%
성 750
 
2.5%
동 740
 
2.5%
남 734
 
2.5%
서 713
 
2.4%
산 697
 
2.4%
Other values (121) 13528
45.7%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29634
99.0%
Common 292
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4376
 
14.8%
구 3999
 
13.5%
군 1931
 
6.5%
주 1269
 
4.3%
천 897
 
3.0%
성 750
 
2.5%
동 740
 
2.5%
남 734
 
2.5%
서 713
 
2.4%
산 697
 
2.4%
Other values (121) 13528
45.7%
Common
ValueCountFrequency (%)
) 146
50.0%
( 146
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29634
99.0%
ASCII 292
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 4376
 
14.8%
구 3999
 
13.5%
군 1931
 
6.5%
주 1269
 
4.3%
천 897
 
3.0%
성 750
 
2.5%
동 740
 
2.5%
남 734
 
2.5%
서 713
 
2.4%
산 697
 
2.4%
Other values (121) 13528
45.7%
ASCII
ValueCountFrequency (%)
) 146
50.0%
( 146
50.0%

법정동명
Text

Distinct2487
Distinct (%)24.9%
Missing4
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T09:51:34.675873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0736295
Min length2

Characters and Unicode

Total characters30724
Distinct characters323
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

Unique790 ?
Unique (%)7.9%

Sample

1st row용두동
2nd row합천읍
3rd row성수동1가
4th row봉화읍
5th row진도읍
ValueCountFrequency (%)
봉천동 40
 
0.4%
상계동 38
 
0.4%
교동 37
 
0.4%
중동 37
 
0.4%
신림동 34
 
0.3%
대명동 34
 
0.3%
잠실동 33
 
0.3%
화정동 32
 
0.3%
면목동 32
 
0.3%
상동 31
 
0.3%
Other values (2477) 9648
96.5%
2023-12-13T09:51:35.052978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7091
23.1%
면 1897
 
6.2%
읍 1265
 
4.1%
산 662
 
2.2%
가 600
 
2.0%
신 480
 
1.6%
천 467
 
1.5%
성 448
 
1.5%
대 379
 
1.2%
정 367
 
1.2%
Other values (313) 17068
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30278
98.5%
Decimal Number 446
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7091
23.4%
면 1897
 
6.3%
읍 1265
 
4.2%
산 662
 
2.2%
가 600
 
2.0%
신 480
 
1.6%
천 467
 
1.5%
성 448
 
1.5%
대 379
 
1.3%
정 367
 
1.2%
Other values (306) 16622
54.9%
Decimal Number
ValueCountFrequency (%)
1 203
45.5%
2 105
23.5%
3 57
 
12.8%
4 37
 
8.3%
5 21
 
4.7%
6 13
 
2.9%
7 10
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30278
98.5%
Common 446
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7091
23.4%
면 1897
 
6.3%
읍 1265
 
4.2%
산 662
 
2.2%
가 600
 
2.0%
신 480
 
1.6%
천 467
 
1.5%
성 448
 
1.5%
대 379
 
1.3%
정 367
 
1.2%
Other values (306) 16622
54.9%
Common
ValueCountFrequency (%)
1 203
45.5%
2 105
23.5%
3 57
 
12.8%
4 37
 
8.3%
5 21
 
4.7%
6 13
 
2.9%
7 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30278
98.5%
ASCII 446
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7091
23.4%
면 1897
 
6.3%
읍 1265
 
4.2%
산 662
 
2.2%
가 600
 
2.0%
신 480
 
1.6%
천 467
 
1.5%
성 448
 
1.5%
대 379
 
1.3%
정 367
 
1.2%
Other values (306) 16622
54.9%
ASCII
ValueCountFrequency (%)
1 203
45.5%
2 105
23.5%
3 57
 
12.8%
4 37
 
8.3%
5 21
 
4.7%
6 13
 
2.9%
7 10
 
2.2%

사고내용
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
5211 
중상
3930 
사망
 
445
부상신고
 
414

Length

Max length4
Median length2
Mean length2.0828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 5211
52.1%
중상 3930
39.3%
사망 445
 
4.5%
부상신고 414
 
4.1%

Length

2023-12-13T09:51:35.177274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:35.270155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 5211
52.1%
중상 3930
39.3%
사망 445
 
4.5%
부상신고 414
 
4.1%

사망자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9555 
1
 
435
2
 
9
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9555
95.5%
1 435
 
4.3%
2 9
 
0.1%
4 1
 
< 0.1%

Length

2023-12-13T09:51:35.350596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:35.421151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9555
95.5%
1 435
 
4.3%
2 9
 
0.1%
4 1
 
< 0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4835
Minimum0
Maximum8
Zeros5995
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:51:35.488057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.70297736
Coefficient of variation (CV)1.4539346
Kurtosis8.7987585
Mean0.4835
Median Absolute Deviation (MAD)0
Skewness2.1507568
Sum4835
Variance0.49417717
MonotonicityNot monotonic
2023-12-13T09:51:35.570492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 5995
60.0%
1 3426
34.3%
2 420
 
4.2%
3 103
 
1.0%
4 29
 
0.3%
5 21
 
0.2%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 5995
60.0%
1 3426
34.3%
2 420
 
4.2%
3 103
 
1.0%
4 29
 
0.3%
5 21
 
0.2%
6 4
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
7 1
 
< 0.1%
6 4
 
< 0.1%
5 21
 
0.2%
4 29
 
0.3%
3 103
 
1.0%
2 420
 
4.2%
1 3426
34.3%
0 5995
60.0%

경상자수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9091
Minimum0
Maximum17
Zeros3873
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:51:35.652014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0692762
Coefficient of variation (CV)1.176192
Kurtosis19.304575
Mean0.9091
Median Absolute Deviation (MAD)1
Skewness2.8077523
Sum9091
Variance1.1433515
MonotonicityNot monotonic
2023-12-13T09:51:35.735218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 4343
43.4%
0 3873
38.7%
2 1114
 
11.1%
3 413
 
4.1%
4 145
 
1.5%
5 53
 
0.5%
6 30
 
0.3%
7 11
 
0.1%
8 7
 
0.1%
9 5
 
0.1%
Other values (4) 6
 
0.1%
ValueCountFrequency (%)
0 3873
38.7%
1 4343
43.4%
2 1114
 
11.1%
3 413
 
4.1%
4 145
 
1.5%
5 53
 
0.5%
6 30
 
0.3%
7 11
 
0.1%
8 7
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
17 2
 
< 0.1%
12 1
 
< 0.1%
11 2
 
< 0.1%
10 1
 
< 0.1%
9 5
 
0.1%
8 7
 
0.1%
7 11
 
0.1%
6 30
 
0.3%
5 53
 
0.5%
4 145
1.5%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0695
Minimum0
Maximum5
Zeros9374
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:51:35.813349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.28857941
Coefficient of variation (CV)4.1522218
Kurtosis38.43199
Mean0.0695
Median Absolute Deviation (MAD)0
Skewness5.2279657
Sum695
Variance0.083278078
MonotonicityNot monotonic
2023-12-13T09:51:35.890642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 9374
93.7%
1 576
 
5.8%
2 35
 
0.4%
3 12
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 9374
93.7%
1 576
 
5.8%
2 35
 
0.4%
3 12
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
< 0.1%
3 12
 
0.1%
2 35
 
0.4%
1 576
 
5.8%
0 9374
93.7%

사고유형_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차대차
7448 
차대사람
1911 
차량단독
 
641

Length

Max length4
Median length3
Mean length3.2552
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 7448
74.5%
차대사람 1911
 
19.1%
차량단독 641
 
6.4%

Length

2023-12-13T09:51:35.977295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:36.051211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 7448
74.5%
차대사람 1911
 
19.1%
차량단독 641
 
6.4%

사고유형_중분류
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3684 
기타
2844 
추돌
1546 
횡단중
780 
정면충돌
 
327
Other values (7)
819 

Length

Max length10
Median length9
Mean length3.1713
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 3684
36.8%
기타 2844
28.4%
추돌 1546
15.5%
횡단중 780
 
7.8%
정면충돌 327
 
3.3%
공작물충돌 231
 
2.3%
차도통행중 150
 
1.5%
길가장자리구역통행중 131
 
1.3%
전도전복 115
 
1.1%
보도통행중 96
 
1.0%
Other values (2) 96
 
1.0%

Length

2023-12-13T09:51:36.151875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3684
36.8%
기타 2844
28.4%
추돌 1546
15.5%
횡단중 780
 
7.8%
정면충돌 327
 
3.3%
공작물충돌 231
 
2.3%
차도통행중 150
 
1.5%
길가장자리구역통행중 131
 
1.3%
전도전복 115
 
1.1%
보도통행중 96
 
1.0%
Other values (3) 98
 
1.0%

사고유형
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
측면충돌
3684 
기타
2844 
진행중 추돌
894 
횡단중
780 
주정차중 추돌
652 
Other values (9)
1146 

Length

Max length10
Median length9
Mean length3.8831
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
측면충돌 3684
36.8%
기타 2844
28.4%
진행중 추돌 894
 
8.9%
횡단중 780
 
7.8%
주정차중 추돌 652
 
6.5%
정면충돌 327
 
3.3%
공작물충돌 231
 
2.3%
차도통행중 150
 
1.5%
길가장자리구역통행중 131
 
1.3%
전도전복 115
 
1.1%
Other values (4) 192
 
1.9%

Length

2023-12-13T09:51:36.281147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
측면충돌 3684
31.6%
기타 2884
24.8%
추돌 1546
13.3%
진행중 894
 
7.7%
횡단중 780
 
6.7%
주정차중 652
 
5.6%
정면충돌 327
 
2.8%
공작물충돌 231
 
2.0%
차도통행중 150
 
1.3%
길가장자리구역통행중 131
 
1.1%
Other values (6) 363
 
3.1%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전운전 의무 불이행
5173 
신호위반
1330 
안전거리 미확보
980 
기타
830 
교차로 통행방법 위반
759 
Other values (3)
928 

Length

Max length11
Median length11
Mean length8.6914
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신호위반
2nd row안전거리 미확보
3rd row안전운전 의무 불이행
4th row안전운전 의무 불이행
5th row안전운전 의무 불이행

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 5173
51.7%
신호위반 1330
 
13.3%
안전거리 미확보 980
 
9.8%
기타 830
 
8.3%
교차로 통행방법 위반 759
 
7.6%
중앙선 침범 657
 
6.6%
보행자 보호의무 위반 262
 
2.6%
과속 9
 
0.1%

Length

2023-12-13T09:51:36.384399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:36.481138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 5173
21.5%
의무 5173
21.5%
불이행 5173
21.5%
신호위반 1330
 
5.5%
위반 1021
 
4.2%
안전거리 980
 
4.1%
미확보 980
 
4.1%
기타 830
 
3.5%
교차로 759
 
3.2%
통행방법 759
 
3.2%
Other values (5) 1847
 
7.7%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
포장
9970 
비포장
 
30

Length

Max length3
Median length2
Mean length2.003
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
포장 9970
99.7%
비포장 30
 
0.3%

Length

2023-12-13T09:51:36.574748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:36.641873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 9970
99.7%
비포장 30
 
0.3%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
건조
8844 
젖음/습기
938 
기타
 
95
서리/결빙
 
82
적설
 
41

Length

Max length5
Median length2
Mean length2.306
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 8844
88.4%
젖음/습기 938
 
9.4%
기타 95
 
0.9%
서리/결빙 82
 
0.8%
적설 41
 
0.4%

Length

2023-12-13T09:51:36.717231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:36.793343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 8844
88.4%
젖음/습기 938
 
9.4%
기타 95
 
0.9%
서리/결빙 82
 
0.8%
적설 41
 
0.4%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
맑음
8712 
비
 
688
흐림
 
476
눈
 
56
기타/불명
 
51

Length

Max length5
Median length2
Mean length1.9409
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 8712
87.1%
비 688
 
6.9%
흐림 476
 
4.8%
눈 56
 
0.6%
기타/불명 51
 
0.5%
안개 17
 
0.2%

Length

2023-12-13T09:51:36.884549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:36.967725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 8712
87.1%
비 688
 
6.9%
흐림 476
 
4.8%
눈 56
 
0.6%
기타/불명 51
 
0.5%
안개 17
 
0.2%

도로형태_대분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단일로
5199 
교차로
4525 
기타/불명
 
276

Length

Max length5
Median length3
Mean length3.0552
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 5199
52.0%
교차로 4525
45.2%
기타/불명 276
 
2.8%

Length

2023-12-13T09:51:37.055157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:37.133997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 5199
52.0%
교차로 4525
45.2%
기타/불명 276
 
2.8%

도로형태
Categorical

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타단일로
4580 
교차로내
3049 
교차로부근
1476 
횡단보도상
 
398
기타/불명
 
276
Other values (5)
 
221

Length

Max length9
Median length5
Mean length4.6969
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 4580
45.8%
교차로내 3049
30.5%
교차로부근 1476
 
14.8%
횡단보도상 398
 
4.0%
기타/불명 276
 
2.8%
횡단보도부근 136
 
1.4%
교량위 51
 
0.5%
터널안 22
 
0.2%
지하차도(도로)내 7
 
0.1%
고가도로위 5
 
0.1%

Length

2023-12-13T09:51:37.217976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:37.314137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타단일로 4580
45.8%
교차로내 3049
30.5%
교차로부근 1476
 
14.8%
횡단보도상 398
 
4.0%
기타/불명 276
 
2.8%
횡단보도부근 136
 
1.4%
교량위 51
 
0.5%
터널안 22
 
0.2%
지하차도(도로)내 7
 
0.1%
고가도로위 5
 
< 0.1%

가해차종
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
5917 
화물차
1371 
이륜차
836 
원동기장치자전거
645 
승합차
 
581
Other values (6)
650 

Length

Max length8
Median length3
Mean length3.3237
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 5917
59.2%
화물차 1371
 
13.7%
이륜차 836
 
8.4%
원동기장치자전거 645
 
6.5%
승합차 581
 
5.8%
자전거 415
 
4.2%
농기계 171
 
1.7%
건설기계 28
 
0.3%
특수차 20
 
0.2%
불명 14
 
0.1%

Length

2023-12-13T09:51:37.422320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 5917
59.2%
화물차 1371
 
13.7%
이륜차 836
 
8.4%
원동기장치자전거 645
 
6.5%
승합차 581
 
5.8%
자전거 415
 
4.2%
농기계 171
 
1.7%
건설기계 28
 
0.3%
특수차 20
 
0.2%
불명 14
 
0.1%

가해자성별
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
9380 
여
 
612
기타불명
 
8

Length

Max length4
Median length1
Mean length1.0024
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 9380
93.8%
여 612
 
6.1%
기타불명 8
 
0.1%

Length

2023-12-13T09:51:37.522897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:37.595252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 9380
93.8%
여 612
 
6.1%
기타불명 8
 
0.1%

가해자연령
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
65세
1356 
66세
1088 
68세
996 
67세
981 
69세
934 
Other values (28)
4645 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row76세
2nd row73세
3rd row67세
4th row68세
5th row73세

Common Values

ValueCountFrequency (%)
65세 1356
13.6%
66세 1088
10.9%
68세 996
10.0%
67세 981
9.8%
69세 934
9.3%
70세 868
8.7%
71세 731
7.3%
72세 581
 
5.8%
73세 479
 
4.8%
74세 423
 
4.2%
Other values (23) 1563
15.6%

Length

2023-12-13T09:51:37.668117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
65세 1356
13.6%
66세 1088
10.9%
68세 996
10.0%
67세 981
9.8%
69세 934
9.3%
70세 868
8.7%
71세 731
7.3%
72세 581
 
5.8%
73세 479
 
4.8%
74세 423
 
4.2%
Other values (23) 1563
15.6%

가해자신체상해정도
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상해없음
7261 
경상
1020 
중상
949 
부상신고
 
342
사망
 
262

Length

Max length4
Median length4
Mean length3.5538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 7261
72.6%
경상 1020
 
10.2%
중상 949
 
9.5%
부상신고 342
 
3.4%
사망 262
 
2.6%
기타불명 166
 
1.7%

Length

2023-12-13T09:51:37.762764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:37.855112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 7261
72.6%
경상 1020
 
10.2%
중상 949
 
9.5%
부상신고 342
 
3.4%
사망 262
 
2.6%
기타불명 166
 
1.7%

피해차종
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
4511 
보행자
1911 
화물차
902 
없음
639 
이륜차
627 
Other values (7)
1410 

Length

Max length8
Median length3
Mean length3.1229
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 4511
45.1%
보행자 1911
19.1%
화물차 902
 
9.0%
없음 639
 
6.4%
이륜차 627
 
6.3%
승합차 482
 
4.8%
자전거 397
 
4.0%
원동기장치자전거 362
 
3.6%
건설기계 66
 
0.7%
농기계 64
 
0.6%
Other values (2) 39
 
0.4%

Length

2023-12-13T09:51:37.953712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 4511
45.1%
보행자 1911
19.1%
화물차 902
 
9.0%
없음 639
 
6.4%
이륜차 627
 
6.3%
승합차 482
 
4.8%
자전거 397
 
4.0%
원동기장치자전거 362
 
3.6%
건설기계 66
 
0.7%
농기계 64
 
0.6%
Other values (2) 39
 
0.4%

피해자성별
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남
6664 
여
2670 
없음
 
639
기타불명
 
27

Length

Max length4
Median length1
Mean length1.072
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 6664
66.6%
여 2670
26.7%
없음 639
 
6.4%
기타불명 27
 
0.3%

Length

2023-12-13T09:51:38.042057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:38.118352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 6664
66.6%
여 2670
26.7%
없음 639
 
6.4%
기타불명 27
 
0.3%

피해자연령
Text

Distinct97
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:51:38.304427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9221
Min length2

Characters and Unicode

Total characters29221
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row33세
2nd row77세
3rd row50세
4th row47세
5th row60세
ValueCountFrequency (%)
불명 666
 
6.7%
50세 270
 
2.7%
51세 248
 
2.5%
45세 246
 
2.5%
52세 229
 
2.3%
46세 223
 
2.2%
43세 223
 
2.2%
55세 217
 
2.2%
54세 214
 
2.1%
42세 212
 
2.1%
Other values (87) 7252
72.5%
2023-12-13T09:51:38.605608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 9334
31.9%
4 3015
 
10.3%
5 3014
 
10.3%
3 2658
 
9.1%
6 2019
 
6.9%
2 1936
 
6.6%
7 1504
 
5.1%
1 1386
 
4.7%
8 1096
 
3.8%
0 970
 
3.3%
Other values (3) 2289
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18555
63.5%
Other Letter 10666
36.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3015
16.2%
5 3014
16.2%
3 2658
14.3%
6 2019
10.9%
2 1936
10.4%
7 1504
8.1%
1 1386
7.5%
8 1096
 
5.9%
0 970
 
5.2%
9 957
 
5.2%
Other Letter
ValueCountFrequency (%)
세 9334
87.5%
불 666
 
6.2%
명 666
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 18555
63.5%
Hangul 10666
36.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3015
16.2%
5 3014
16.2%
3 2658
14.3%
6 2019
10.9%
2 1936
10.4%
7 1504
8.1%
1 1386
7.5%
8 1096
 
5.9%
0 970
 
5.2%
9 957
 
5.2%
Hangul
ValueCountFrequency (%)
세 9334
87.5%
불 666
 
6.2%
명 666
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18555
63.5%
Hangul 10666
36.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 9334
87.5%
불 666
 
6.2%
명 666
 
6.2%
ASCII
ValueCountFrequency (%)
4 3015
16.2%
5 3014
16.2%
3 2658
14.3%
6 2019
10.9%
2 1936
10.4%
7 1504
8.1%
1 1386
7.5%
8 1096
 
5.9%
0 970
 
5.2%
9 957
 
5.2%

피해자신체상해정도
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경상
4484 
중상
2502 
상해없음
1959 
없음
639 
부상신고
 
176
Other values (2)
 
240

Length

Max length4
Median length2
Mean length2.4486
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상 4484
44.8%
중상 2502
25.0%
상해없음 1959
19.6%
없음 639
 
6.4%
부상신고 176
 
1.8%
사망 132
 
1.3%
기타불명 108
 
1.1%

Length

2023-12-13T09:51:38.714308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:51:38.803976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상 4484
44.8%
중상 2502
25.0%
상해없음 1959
19.6%
없음 639
 
6.4%
부상신고 176
 
1.8%
사망 132
 
1.3%
기타불명 108
 
1.1%

Sample

발생일발생시간요일발생지_시군구법정동명사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해차종가해자성별가해자연령가해자신체상해정도피해차종피해자성별피해자연령피해자신체상해정도
417252013-10-0514토동대문구용두동중상0200차대차측면충돌측면충돌신호위반포장건조맑음교차로교차로내이륜차남76세중상이륜차남33세중상
312982013-03-1111월합천군합천읍경상0010차대차추돌진행중 추돌안전거리 미확보포장건조맑음교차로교차로부근이륜차남73세경상승용차남77세상해없음
349362013-05-2718월성동구성수동1가경상0010차대사람기타기타안전운전 의무 불이행포장젖음/습기비교차로교차로부근화물차남67세상해없음보행자남50세경상
276072012-11-2820수봉화군봉화읍중상0510차대차추돌주정차중 추돌안전운전 의무 불이행포장서리/결빙맑음단일로기타단일로승용차남68세중상승용차여47세중상
433502013-11-018금진도군진도읍중상0100차대차기타기타안전운전 의무 불이행포장기타맑음단일로기타단일로승용차남73세상해없음이륜차여60세중상
434582013-11-0218토달성군구지면경상0010차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남74세상해없음농기계남65세경상
212342012-07-1318금남구이장동경상0010차량단독기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로이륜차남71세경상없음없음불명없음
124342011-11-2917화서귀포시대정읍중상0100차대차측면충돌측면충돌기타포장건조맑음교차로교차로내승용차여65세상해없음이륜차남66세중상
364652013-06-2610수단양군매포읍중상0200차대차추돌진행중 추돌안전거리 미확보포장건조맑음교차로교차로내화물차남68세상해없음승용차여30세중상
295572013-01-248목정읍시이평면중상0210차량단독도로이탈도로이탈 기타안전운전 의무 불이행포장젖음/습기흐림단일로기타단일로화물차남66세중상없음없음불명없음
발생일발생시간요일발생지_시군구법정동명사고내용사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해차종가해자성별가해자연령가해자신체상해정도피해차종피해자성별피해자연령피해자신체상해정도
434362013-11-0215토은평구신사동경상0020차대차추돌진행중 추돌안전운전 의무 불이행포장건조맑음교차로교차로부근승용차남65세상해없음승용차남67세경상
417212013-10-0512토중구대사동중상0100차대차기타기타안전운전 의무 불이행포장건조맑음교차로교차로내승용차남75세상해없음자전거남70세중상
80832011-08-239화남동구간석동경상0010차대차측면충돌측면충돌기타포장건조맑음단일로기타단일로이륜차남77세경상승합차남61세상해없음
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432462013-10-3018수속초시대포동중상0100차대차측면충돌측면충돌신호위반포장건조맑음교차로교차로내승용차남65세상해없음승용차남22세중상
212912012-07-1512일김천시신음동중상0100차량단독기타기타안전운전 의무 불이행포장젖음/습기흐림단일로기타단일로승합차남65세상해없음없음없음불명없음
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