Overview

Dataset statistics

Number of variables29
Number of observations2521
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory588.5 KiB
Average record size in memory239.1 B

Variable types

DateTime1
Numeric6
Categorical21
Text1

Dataset

Description* 서울시 사망사고 개별 정보(2012~2018년)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094156/fileData.do

Alerts

사고내용 has constant value ""Constant
사망자수 is highly imbalanced (90.8%)Imbalance
노면상태_대분류 is highly imbalanced (99.5%)Imbalance
노면상태 is highly imbalanced (66.6%)Imbalance
기상상태 is highly imbalanced (64.3%)Imbalance
도로형태_대분류 is highly imbalanced (58.3%)Imbalance
가해자성별 is highly imbalanced (71.0%)Imbalance
가해자신체상해정도 is highly imbalanced (52.5%)Imbalance
경도 has unique valuesUnique
위도 has unique valuesUnique
발생시간 has 132 (5.2%) zerosZeros
중상자수 has 2215 (87.9%) zerosZeros
경상자수 has 2249 (89.2%) zerosZeros
부상신고자수 has 2456 (97.4%) zerosZeros

Reproduction

Analysis started2023-12-12 20:03:05.128051
Analysis finished2023-12-12 20:03:05.818720
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일
Date

Distinct1582
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
Minimum2012-01-01 00:00:00
Maximum2018-12-31 00:00:00
2023-12-13T05:03:05.894172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:03:06.415396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발생시간
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.810789
Minimum0
Maximum23
Zeros132
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:06.585386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q318
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)14

Descriptive statistics

Standard deviation7.3308098
Coefficient of variation (CV)0.67810125
Kurtosis-1.3308656
Mean10.810789
Median Absolute Deviation (MAD)6
Skewness0.1780248
Sum27254
Variance53.740772
MonotonicityNot monotonic
2023-12-13T05:03:06.758160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 166
 
6.6%
4 164
 
6.5%
2 140
 
5.6%
0 132
 
5.2%
23 126
 
5.0%
6 125
 
5.0%
1 118
 
4.7%
21 117
 
4.6%
3 113
 
4.5%
20 107
 
4.2%
Other values (14) 1213
48.1%
ValueCountFrequency (%)
0 132
5.2%
1 118
4.7%
2 140
5.6%
3 113
4.5%
4 164
6.5%
5 166
6.6%
6 125
5.0%
7 91
3.6%
8 82
3.3%
9 86
3.4%
ValueCountFrequency (%)
23 126
5.0%
22 106
4.2%
21 117
4.6%
20 107
4.2%
19 95
3.8%
18 83
3.3%
17 94
3.7%
16 84
3.3%
15 76
3.0%
14 96
3.8%

요일
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
금
388 
목
379 
월
377 
토
373 
수
355 
Other values (2)
649 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금 388
15.4%
목 379
15.0%
월 377
15.0%
토 373
14.8%
수 355
14.1%
화 344
13.6%
일 305
12.1%

Length

2023-12-13T05:03:06.940916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:07.089285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 388
15.4%
목 379
15.0%
월 377
15.0%
토 373
14.8%
수 355
14.1%
화 344
13.6%
일 305
12.1%

발생지_시군구
Categorical

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
영등포구
 
177
강남구
 
142
송파구
 
134
동대문구
 
131
강서구
 
128
Other values (20)
1809 

Length

Max length4
Median length3
Mean length3.1285204
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row은평구
2nd row중구
3rd row서초구
4th row영등포구
5th row관악구

Common Values

ValueCountFrequency (%)
영등포구 177
 
7.0%
강남구 142
 
5.6%
송파구 134
 
5.3%
동대문구 131
 
5.2%
강서구 128
 
5.1%
서초구 125
 
5.0%
마포구 115
 
4.6%
강동구 115
 
4.6%
관악구 110
 
4.4%
구로구 109
 
4.3%
Other values (15) 1235
49.0%

Length

2023-12-13T05:03:07.287015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
영등포구 177
 
7.0%
강남구 142
 
5.6%
송파구 134
 
5.3%
동대문구 131
 
5.2%
강서구 128
 
5.1%
서초구 125
 
5.0%
마포구 115
 
4.6%
강동구 115
 
4.6%
관악구 110
 
4.4%
구로구 109
 
4.3%
Other values (15) 1235
49.0%

사고내용
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
사망
2521 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사망 2521
100.0%

Length

2023-12-13T05:03:07.446085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:07.554696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사망 2521
100.0%

법정동
Text

Distinct324
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
2023-12-13T05:03:07.873472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2264974
Min length2

Characters and Unicode

Total characters8134
Distinct characters190
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

Unique68 ?
Unique (%)2.7%

Sample

1st row불광동
2nd row입정동
3rd row양재동
4th row영등포동
5th row봉천동
ValueCountFrequency (%)
신림동 59
 
2.3%
봉천동 47
 
1.9%
상계동 39
 
1.5%
신월동 36
 
1.4%
미아동 35
 
1.4%
시흥동 34
 
1.3%
구로동 33
 
1.3%
방배동 33
 
1.3%
독산동 32
 
1.3%
신길동 32
 
1.3%
Other values (314) 2141
84.9%
2023-12-13T05:03:08.418375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2480
30.5%
가 316
 
3.9%
신 246
 
3.0%
봉 133
 
1.6%
상 127
 
1.6%
산 118
 
1.5%
천 105
 
1.3%
도 104
 
1.3%
곡 101
 
1.2%
림 94
 
1.2%
Other values (180) 4310
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7895
97.1%
Decimal Number 239
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2480
31.4%
가 316
 
4.0%
신 246
 
3.1%
봉 133
 
1.7%
상 127
 
1.6%
산 118
 
1.5%
천 105
 
1.3%
도 104
 
1.3%
곡 101
 
1.3%
림 94
 
1.2%
Other values (173) 4071
51.6%
Decimal Number
ValueCountFrequency (%)
2 77
32.2%
1 58
24.3%
3 42
17.6%
5 25
 
10.5%
4 14
 
5.9%
6 14
 
5.9%
7 9
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7895
97.1%
Common 239
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2480
31.4%
가 316
 
4.0%
신 246
 
3.1%
봉 133
 
1.7%
상 127
 
1.6%
산 118
 
1.5%
천 105
 
1.3%
도 104
 
1.3%
곡 101
 
1.3%
림 94
 
1.2%
Other values (173) 4071
51.6%
Common
ValueCountFrequency (%)
2 77
32.2%
1 58
24.3%
3 42
17.6%
5 25
 
10.5%
4 14
 
5.9%
6 14
 
5.9%
7 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7895
97.1%
ASCII 239
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2480
31.4%
가 316
 
4.0%
신 246
 
3.1%
봉 133
 
1.7%
상 127
 
1.6%
산 118
 
1.5%
천 105
 
1.3%
도 104
 
1.3%
곡 101
 
1.3%
림 94
 
1.2%
Other values (173) 4071
51.6%
ASCII
ValueCountFrequency (%)
2 77
32.2%
1 58
24.3%
3 42
17.6%
5 25
 
10.5%
4 14
 
5.9%
6 14
 
5.9%
7 9
 
3.8%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
1
2471 
2
 
48
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2471
98.0%
2 48
 
1.9%
3 2
 
0.1%

Length

2023-12-13T05:03:08.614807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:08.752063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2471
98.0%
2 48
 
1.9%
3 2
 
0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19873066
Minimum0
Maximum21
Zeros2215
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:08.884167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.77955928
Coefficient of variation (CV)3.9226925
Kurtosis224.42234
Mean0.19873066
Median Absolute Deviation (MAD)0
Skewness11.060614
Sum501
Variance0.60771267
MonotonicityNot monotonic
2023-12-13T05:03:09.021669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 2215
87.9%
1 210
 
8.3%
2 61
 
2.4%
3 16
 
0.6%
5 5
 
0.2%
4 5
 
0.2%
6 4
 
0.2%
7 2
 
0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 2215
87.9%
1 210
 
8.3%
2 61
 
2.4%
3 16
 
0.6%
4 5
 
0.2%
5 5
 
0.2%
6 4
 
0.2%
7 2
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 2
 
0.1%
6 4
 
0.2%
5 5
 
0.2%
4 5
 
0.2%
3 16
 
0.6%
2 61
 
2.4%
1 210
8.3%

경상자수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22292741
Minimum0
Maximum22
Zeros2249
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:09.137236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1049518
Coefficient of variation (CV)4.9565544
Kurtosis176.99566
Mean0.22292741
Median Absolute Deviation (MAD)0
Skewness11.571178
Sum562
Variance1.2209186
MonotonicityNot monotonic
2023-12-13T05:03:09.279345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 2249
89.2%
1 172
 
6.8%
2 55
 
2.2%
3 14
 
0.6%
4 13
 
0.5%
5 4
 
0.2%
6 3
 
0.1%
13 3
 
0.1%
8 2
 
0.1%
17 2
 
0.1%
Other values (4) 4
 
0.2%
ValueCountFrequency (%)
0 2249
89.2%
1 172
 
6.8%
2 55
 
2.2%
3 14
 
0.6%
4 13
 
0.5%
5 4
 
0.2%
6 3
 
0.1%
7 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
21 1
 
< 0.1%
17 2
 
0.1%
13 3
 
0.1%
9 1
 
< 0.1%
8 2
 
0.1%
7 1
 
< 0.1%
6 3
 
0.1%
5 4
 
0.2%
4 13
0.5%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039270131
Minimum0
Maximum11
Zeros2456
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:09.397775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.34909876
Coefficient of variation (CV)8.8896765
Kurtosis473.7888
Mean0.039270131
Median Absolute Deviation (MAD)0
Skewness18.619563
Sum99
Variance0.12186994
MonotonicityNot monotonic
2023-12-13T05:03:09.517813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2456
97.4%
1 52
 
2.1%
2 8
 
0.3%
6 2
 
0.1%
11 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
0 2456
97.4%
1 52
 
2.1%
2 8
 
0.3%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 2
 
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 8
 
0.3%
1 52
 
2.1%
0 2456
97.4%

사고유형_대분류
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
차대사람
1433 
차대차
821 
차량단독
267 

Length

Max length4
Median length4
Mean length3.6743356
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대사람 1433
56.8%
차대차 821
32.6%
차량단독 267
 
10.6%

Length

2023-12-13T05:03:09.673561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:09.801353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대사람 1433
56.8%
차대차 821
32.6%
차량단독 267
 
10.6%

사고유형_중분류
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
횡단중
769 
기타
710 
측면충돌
316 
추돌
159 
차도통행중
158 
Other values (9)
409 

Length

Max length10
Median length9
Mean length3.2209441
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
횡단중 769
30.5%
기타 710
28.2%
측면충돌 316
12.5%
추돌 159
 
6.3%
차도통행중 158
 
6.3%
공작물충돌 142
 
5.6%
정면충돌 109
 
4.3%
보도통행중 54
 
2.1%
전도전복 48
 
1.9%
길가장자리구역통행중 32
 
1.3%
Other values (4) 24
 
1.0%

Length

2023-12-13T05:03:09.973608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
횡단중 769
30.4%
기타 710
28.1%
측면충돌 316
12.5%
추돌 159
 
6.3%
차도통행중 158
 
6.3%
공작물충돌 142
 
5.6%
정면충돌 109
 
4.3%
보도통행중 54
 
2.1%
전도전복 48
 
1.9%
길가장자리구역통행중 32
 
1.3%
Other values (5) 29
 
1.1%

사고유형
Categorical

Distinct17
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
횡단중
769 
기타
710 
측면충돌
316 
차도통행중
158 
공작물충돌
142 
Other values (12)
426 

Length

Max length10
Median length9
Mean length3.4450615
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
횡단중 769
30.5%
기타 710
28.2%
측면충돌 316
12.5%
차도통행중 158
 
6.3%
공작물충돌 142
 
5.6%
정면충돌 109
 
4.3%
진행중 추돌 70
 
2.8%
보도통행중 54
 
2.1%
주정차중 추돌 54
 
2.1%
전도전복 48
 
1.9%
Other values (7) 91
 
3.6%

Length

2023-12-13T05:03:10.158529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
횡단중 769
29.0%
기타 712
26.8%
측면충돌 316
11.9%
추돌 159
 
6.0%
차도통행중 158
 
6.0%
공작물충돌 142
 
5.3%
정면충돌 109
 
4.1%
진행중 70
 
2.6%
주정차중 54
 
2.0%
보도통행중 54
 
2.0%
Other values (8) 112
 
4.2%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
안전운전 의무 불이행
1721 
신호위반
300 
중앙선 침범
 
132
보행자 보호의무 위반
 
112
과속
 
104
Other values (3)
 
152

Length

Max length11
Median length11
Mean length9.1769139
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 1721
68.3%
신호위반 300
 
11.9%
중앙선 침범 132
 
5.2%
보행자 보호의무 위반 112
 
4.4%
과속 104
 
4.1%
기타 80
 
3.2%
안전거리 미확보 60
 
2.4%
교차로 통행방법 위반 12
 
0.5%

Length

2023-12-13T05:03:10.311626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:10.426342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 1721
26.9%
의무 1721
26.9%
불이행 1721
26.9%
신호위반 300
 
4.7%
중앙선 132
 
2.1%
침범 132
 
2.1%
위반 124
 
1.9%
보행자 112
 
1.7%
보호의무 112
 
1.7%
과속 104
 
1.6%
Other values (5) 224
 
3.5%

노면상태_대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
포장
2520 
비포장
 
1

Length

Max length3
Median length2
Mean length2.0003967
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
포장 2520
> 99.9%
비포장 1
 
< 0.1%

Length

2023-12-13T05:03:10.562919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:10.652443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포장 2520
> 99.9%
비포장 1
 
< 0.1%

노면상태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
건조
2114 
젖음/습기
338 
기타
 
48
서리/결빙
 
12
적설
 
9

Length

Max length5
Median length2
Mean length2.4165014
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건조 2114
83.9%
젖음/습기 338
 
13.4%
기타 48
 
1.9%
서리/결빙 12
 
0.5%
적설 9
 
0.4%

Length

2023-12-13T05:03:10.762892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:10.882907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건조 2114
83.9%
젖음/습기 338
 
13.4%
기타 48
 
1.9%
서리/결빙 12
 
0.5%
적설 9
 
0.4%

기상상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
맑음
2071 
비
229 
흐림
 
188
기타/불명
 
18
눈
 
14

Length

Max length5
Median length2
Mean length1.9250298
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
맑음 2071
82.1%
비 229
 
9.1%
흐림 188
 
7.5%
기타/불명 18
 
0.7%
눈 14
 
0.6%
안개 1
 
< 0.1%

Length

2023-12-13T05:03:11.000978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:11.114932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
맑음 2071
82.1%
비 229
 
9.1%
흐림 188
 
7.5%
기타/불명 18
 
0.7%
눈 14
 
0.6%
안개 1
 
< 0.1%

도로형태_대분류
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
단일로
1650 
교차로
814 
기타/불명
 
34
기타
 
20
불명
 
2

Length

Max length5
Median length3
Mean length3.0182467
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 1650
65.5%
교차로 814
32.3%
기타/불명 34
 
1.3%
기타 20
 
0.8%
불명 2
 
0.1%
주차장 1
 
< 0.1%

Length

2023-12-13T05:03:11.224845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:11.347513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 1650
65.5%
교차로 814
32.3%
기타/불명 34
 
1.3%
기타 20
 
0.8%
불명 2
 
0.1%
주차장 1
 
< 0.1%

도로형태
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
기타단일로
1338 
교차로내
482 
교차로부근
284 
횡단보도상
162 
횡단보도부근
 
58
Other values (9)
197 

Length

Max length9
Median length5
Mean length4.8484728
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 1338
53.1%
교차로내 482
 
19.1%
교차로부근 284
 
11.3%
횡단보도상 162
 
6.4%
횡단보도부근 58
 
2.3%
교차로횡단보도내 48
 
1.9%
교량위 34
 
1.3%
기타/불명 34
 
1.3%
터널안 23
 
0.9%
지하차도(도로)내 20
 
0.8%
Other values (4) 38
 
1.5%

Length

2023-12-13T05:03:11.491788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 1338
53.1%
교차로내 482
 
19.1%
교차로부근 284
 
11.3%
횡단보도상 162
 
6.4%
횡단보도부근 58
 
2.3%
교차로횡단보도내 48
 
1.9%
교량위 34
 
1.3%
기타/불명 34
 
1.3%
터널안 23
 
0.9%
지하차도(도로)내 20
 
0.8%
Other values (4) 38
 
1.5%

가해자차종
Categorical

Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
승용차
1234 
화물차
340 
승합차
318 
이륜차
293 
원동기장치자전거
 
117
Other values (5)
219 

Length

Max length11
Median length3
Mean length3.2606109
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 1234
48.9%
화물차 340
 
13.5%
승합차 318
 
12.6%
이륜차 293
 
11.6%
원동기장치자전거 117
 
4.6%
자전거 116
 
4.6%
건설기계 75
 
3.0%
특수차 16
 
0.6%
불명 11
 
0.4%
개인형이동수단(PM) 1
 
< 0.1%

Length

2023-12-13T05:03:11.609807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:11.724727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용차 1234
48.9%
화물차 340
 
13.5%
승합차 318
 
12.6%
이륜차 293
 
11.6%
원동기장치자전거 117
 
4.6%
자전거 116
 
4.6%
건설기계 75
 
3.0%
특수차 16
 
0.6%
불명 11
 
0.4%
개인형이동수단(pm 1
 
< 0.1%

가해자연령
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
51-60세
659 
41-50세
472 
61-70세
421 
31-40세
371 
21-30세
334 
Other values (3)
264 

Length

Max length6
Median length6
Mean length5.8881396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21-30세
2nd row51-60세
3rd row61-70세
4th row41-50세
5th row41-50세

Common Values

ValueCountFrequency (%)
51-60세 659
26.1%
41-50세 472
18.7%
61-70세 421
16.7%
31-40세 371
14.7%
21-30세 334
13.2%
71세이상 154
 
6.1%
20세이하 104
 
4.1%
불명 6
 
0.2%

Length

2023-12-13T05:03:11.865203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:11.978594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51-60세 659
26.1%
41-50세 472
18.7%
61-70세 421
16.7%
31-40세 371
14.7%
21-30세 334
13.2%
71세이상 154
 
6.1%
20세이하 104
 
4.1%
불명 6
 
0.2%

가해자성별
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
남
2289 
여
 
226
기타불명
 
6

Length

Max length4
Median length1
Mean length1.00714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 2289
90.8%
여 226
 
9.0%
기타불명 6
 
0.2%

Length

2023-12-13T05:03:12.121729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:12.218499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 2289
90.8%
여 226
 
9.0%
기타불명 6
 
0.2%

가해자신체상해정도
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
상해없음
1699 
사망
681 
중상
 
65
기타불명
 
32
경상
 
29

Length

Max length4
Median length4
Mean length3.3851646
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상해없음 1699
67.4%
사망 681
27.0%
중상 65
 
2.6%
기타불명 32
 
1.3%
경상 29
 
1.2%
부상신고 15
 
0.6%

Length

2023-12-13T05:03:12.329807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:12.435073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상해없음 1699
67.4%
사망 681
27.0%
중상 65
 
2.6%
기타불명 32
 
1.3%
경상 29
 
1.2%
부상신고 15
 
0.6%

피해자차종
Categorical

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
보행자
1432 
승용차
316 
없음
262 
이륜차
 
119
화물차
 
115
Other values (8)
277 

Length

Max length8
Median length3
Mean length2.99405
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보행자 1432
56.8%
승용차 316
 
12.5%
없음 262
 
10.4%
이륜차 119
 
4.7%
화물차 115
 
4.6%
승합차 107
 
4.2%
자전거 93
 
3.7%
원동기장치자전거 46
 
1.8%
건설기계 22
 
0.9%
불명 3
 
0.1%
Other values (3) 6
 
0.2%

Length

2023-12-13T05:03:12.556014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행자 1432
56.8%
승용차 316
 
12.5%
없음 262
 
10.4%
이륜차 119
 
4.7%
화물차 115
 
4.6%
승합차 107
 
4.2%
자전거 93
 
3.7%
원동기장치자전거 46
 
1.8%
건설기계 22
 
0.9%
불명 3
 
0.1%
Other values (3) 6
 
0.2%

피해자연령
Categorical

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
65세이상
797 
51-60세
497 
41-50세
321 
불명
279 
31-40세
220 
Other values (4)
407 

Length

Max length6
Median length6
Mean length5.2308608
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row65세이상
2nd row51-60세
3rd row51-60세
4th row65세이상
5th row13-20세

Common Values

ValueCountFrequency (%)
65세이상 797
31.6%
51-60세 497
19.7%
41-50세 321
12.7%
불명 279
 
11.1%
31-40세 220
 
8.7%
21-30세 166
 
6.6%
61-64세 159
 
6.3%
13-20세 56
 
2.2%
12세이하 26
 
1.0%

Length

2023-12-13T05:03:12.676884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:12.825484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
65세이상 797
31.6%
51-60세 497
19.7%
41-50세 321
12.7%
불명 279
 
11.1%
31-40세 220
 
8.7%
21-30세 166
 
6.6%
61-64세 159
 
6.3%
13-20세 56
 
2.2%
12세이하 26
 
1.0%

피해자성별
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
남
1525 
여
716 
없음
262 
기타불명
 
18

Length

Max length4
Median length1
Mean length1.1253471
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남 1525
60.5%
여 716
28.4%
없음 262
 
10.4%
기타불명 18
 
0.7%

Length

2023-12-13T05:03:12.965484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:13.080559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남 1525
60.5%
여 716
28.4%
없음 262
 
10.4%
기타불명 18
 
0.7%

피해자신체상해정도
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size19.8 KiB
사망
1686 
상해없음
312 
없음
262 
경상
 
102
중상
 
87
Other values (2)
 
72

Length

Max length4
Median length2
Mean length2.304641
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사망 1686
66.9%
상해없음 312
 
12.4%
없음 262
 
10.4%
경상 102
 
4.0%
중상 87
 
3.5%
기타불명 66
 
2.6%
부상신고 6
 
0.2%

Length

2023-12-13T05:03:13.189115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:03:13.289153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사망 1686
66.9%
상해없음 312
 
12.4%
없음 262
 
10.4%
경상 102
 
4.0%
중상 87
 
3.5%
기타불명 66
 
2.6%
부상신고 6
 
0.2%

경도
Real number (ℝ)

UNIQUE 

Distinct2521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98777
Minimum126.77942
Maximum127.18427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:13.434887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.77942
5-th percentile126.84361
Q1126.9126
median126.99544
Q3127.05691
95-th percentile127.128
Maximum127.18427
Range0.40484763
Interquartile range (IQR)0.14431345

Descriptive statistics

Standard deviation0.088550156
Coefficient of variation (CV)0.00069731245
Kurtosis-0.97033453
Mean126.98777
Median Absolute Deviation (MAD)0.07364052
Skewness-0.057257835
Sum320136.18
Variance0.0078411301
MonotonicityNot monotonic
2023-12-13T05:03:13.568946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.93187672 1
 
< 0.1%
127.05709256 1
 
< 0.1%
127.05020022 1
 
< 0.1%
127.04366262 1
 
< 0.1%
126.92442766 1
 
< 0.1%
127.03913522 1
 
< 0.1%
126.88986674 1
 
< 0.1%
126.92737405 1
 
< 0.1%
126.95280408 1
 
< 0.1%
127.04675941 1
 
< 0.1%
Other values (2511) 2511
99.6%
ValueCountFrequency (%)
126.77941768 1
< 0.1%
126.79708672 1
< 0.1%
126.79711296 1
< 0.1%
126.79834478 1
< 0.1%
126.79834639 1
< 0.1%
126.79960083 1
< 0.1%
126.79968458 1
< 0.1%
126.79983525 1
< 0.1%
126.80052141 1
< 0.1%
126.80309255 1
< 0.1%
ValueCountFrequency (%)
127.18426531 1
< 0.1%
127.18163305 1
< 0.1%
127.18162054 1
< 0.1%
127.1798956 1
< 0.1%
127.17691154 1
< 0.1%
127.17435627 1
< 0.1%
127.17413691 1
< 0.1%
127.17358327 1
< 0.1%
127.17344243 1
< 0.1%
127.17308582 1
< 0.1%

위도
Real number (ℝ)

UNIQUE 

Distinct2521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.546602
Minimum37.42877
Maximum37.689289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.3 KiB
2023-12-13T05:03:13.720694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.42877
5-th percentile37.47329
Q137.504763
median37.544653
Q337.578867
95-th percentile37.643659
Maximum37.689289
Range0.26051899
Interquartile range (IQR)0.07410368

Descriptive statistics

Standard deviation0.052225564
Coefficient of variation (CV)0.0013909531
Kurtosis-0.39634764
Mean37.546602
Median Absolute Deviation (MAD)0.03782668
Skewness0.39293731
Sum94654.985
Variance0.0027275096
MonotonicityNot monotonic
2023-12-13T05:03:14.101810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.61284962 1
 
< 0.1%
37.66770066 1
 
< 0.1%
37.67869788 1
 
< 0.1%
37.61845447 1
 
< 0.1%
37.51032334 1
 
< 0.1%
37.6323085 1
 
< 0.1%
37.58471643 1
 
< 0.1%
37.49506691 1
 
< 0.1%
37.55713736 1
 
< 0.1%
37.62723645 1
 
< 0.1%
Other values (2511) 2511
99.6%
ValueCountFrequency (%)
37.42876988 1
< 0.1%
37.43372001 1
< 0.1%
37.434988 1
< 0.1%
37.43583817 1
< 0.1%
37.43892686 1
< 0.1%
37.43946592 1
< 0.1%
37.44043418 1
< 0.1%
37.44110513 1
< 0.1%
37.44212696 1
< 0.1%
37.442345 1
< 0.1%
ValueCountFrequency (%)
37.68928887 1
< 0.1%
37.68922512 1
< 0.1%
37.68736996 1
< 0.1%
37.68560495 1
< 0.1%
37.68470224 1
< 0.1%
37.68396336 1
< 0.1%
37.68165603 1
< 0.1%
37.68116212 1
< 0.1%
37.680733 1
< 0.1%
37.68063477 1
< 0.1%

Sample

발생일발생시간요일발생지_시군구사고내용법정동사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자연령가해자성별가해자신체상해정도피해자차종피해자연령피해자성별피해자신체상해정도경도위도
02012-01-011일은평구사망불광동1000차대사람차도통행중차도통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승용차21-30세남상해없음보행자65세이상남사망126.93187737.61285
12012-01-012일중구사망입정동1030차대차측면충돌측면충돌신호위반비포장건조맑음교차로교차로내승합차51-60세남상해없음승용차51-60세남경상126.99234537.568184
22012-01-012일서초구사망양재동1000차대사람횡단중횡단중안전운전 의무 불이행포장건조맑음교차로교차로부근승용차61-70세남상해없음보행자51-60세남사망127.03484737.483695
32012-01-0118일영등포구사망영등포동1000차대사람횡단중횡단중안전운전 의무 불이행포장건조흐림단일로기타단일로승합차41-50세남상해없음보행자65세이상남사망126.90348637.520151
42012-01-037화관악구사망봉천동1010차대차기타기타안전거리 미확보포장건조맑음단일로기타단일로승용차41-50세남상해없음이륜차13-20세남사망126.93730937.464541
52012-01-0319화도봉구사망방학동1000차대사람횡단중횡단중안전운전 의무 불이행포장젖음/습기흐림단일로기타단일로화물차41-50세남상해없음보행자65세이상남사망127.03458737.661918
62012-01-045수강남구사망도곡동1000차대사람기타기타신호위반포장건조맑음단일로기타단일로승용차61-70세남상해없음보행자61-64세남사망127.05242337.489568
72012-01-061금종로구사망숭인동1000차대사람차도통행중차도통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승용차61-70세남상해없음보행자65세이상남사망127.01723437.573462
82012-01-079토동작구사망신대방동1200차대차추돌진행중 추돌안전운전 의무 불이행포장기타맑음단일로횡단보도상승용차61-70세남상해없음승용차41-50세남중상126.90622337.488878
92012-01-0723일강남구사망대치동1000차대차측면충돌측면충돌신호위반포장건조맑음교차로교차로내자전거61-70세여사망승용차41-50세남상해없음127.05085337.500513
발생일발생시간요일발생지_시군구사고내용법정동사망자수중상자수경상자수부상신고자수사고유형_대분류사고유형_중분류사고유형가해자법규위반노면상태_대분류노면상태기상상태도로형태_대분류도로형태가해자차종가해자연령가해자성별가해자신체상해정도피해자차종피해자연령피해자성별피해자신체상해정도경도위도
25112018-12-2015목구로구사망개봉동1000차대사람기타기타안전운전 의무 불이행포장건조맑음교차로교차로내건설기계51-60세남상해없음보행자41-50세여사망126.84937137.499296
25122018-12-216금강남구사망삼성동1000차대사람횡단중횡단중안전운전 의무 불이행포장건조맑음단일로기타단일로화물차51-60세남상해없음보행자65세이상남사망127.04732937.506999
25132018-12-2322일강남구사망청담동1000차대사람횡단중횡단중신호위반포장건조맑음단일로기타단일로승용차71세이상남상해없음보행자41-50세여사망127.05616837.521923
25142018-12-245월서초구사망양재동1000차대차기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차61-70세남상해없음승용차21-30세여사망127.03849837.465018
25152018-12-2420월종로구사망신문로2가1000차대사람차도통행중차도통행중안전운전 의무 불이행포장건조맑음단일로기타단일로승합차51-60세남상해없음보행자51-60세남사망126.97117537.569784
25162018-12-255화양천구사망신월동1000차대사람차도통행중차도통행중안전운전 의무 불이행포장건조맑음단일로기타단일로건설기계51-60세남상해없음보행자65세이상여사망126.83235237.525205
25172018-12-2916토중구사망예장동1200차대차추돌추돌과속포장건조맑음단일로터널안승용차71세이상남기타불명건설기계51-60세남중상126.99828537.546992
25182018-12-304일강북구사망미아동1000차대사람횡단중횡단중안전운전 의무 불이행포장건조흐림단일로기타단일로승용차31-40세남상해없음보행자65세이상여사망127.02211537.612366
25192018-12-3010일서초구사망반포동1000차량단독공작물충돌공작물충돌안전운전 의무 불이행포장건조맑음단일로기타단일로이륜차61-70세남사망없음불명없음없음126.98113737.50414
25202018-12-3120월용산구사망원효로3가1000차대사람기타기타안전운전 의무 불이행포장건조맑음단일로기타단일로승용차41-50세남상해없음보행자65세이상여사망126.95639937.533016