Overview

Dataset statistics

Number of variables23
Number of observations2658
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory503.7 KiB
Average record size in memory194.0 B

Variable types

Categorical13
DateTime1
Numeric8
Text1

Dataset

Description- 사망 교통사고에 대한 개별정보 제공(발생일시, 사고유형, 위치좌표 등) - 부상자수 = 중상자수 + 경상자수 + 부상신고자수
URLhttps://www.data.go.kr/data/15070340/fileData.do

Alerts

발생년 has constant value ""Constant
사망자수 is highly imbalanced (88.0%)Imbalance
경도 has unique valuesUnique
위도 has unique valuesUnique
부상자수 has 2075 (78.1%) zerosZeros
중상자수 has 2369 (89.1%) zerosZeros
경상자수 has 2284 (85.9%) zerosZeros
부상신고자수 has 2615 (98.4%) zerosZeros

Reproduction

Analysis started2023-12-12 05:46:00.413690
Analysis finished2023-12-12 05:46:00.870890
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생년
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
2022
2658 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 2658
100.0%

Length

2023-12-12T14:46:00.947269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:01.065642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 2658
100.0%

발생년월일시
Date

Distinct2268
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
Minimum2022-01-01 10:00:00
Maximum2022-12-31 20:00:00
2023-12-12T14:46:01.193161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:46:01.351937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주야
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
주
1469 
야
1189 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주
2nd row주
3rd row주
4th row야
5th row주

Common Values

ValueCountFrequency (%)
주 1469
55.3%
야 1189
44.7%

Length

2023-12-12T14:46:01.487977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:01.605588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주 1469
55.3%
야 1189
44.7%

요일
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
금
412 
화
411 
목
391 
토
382 
수
380 
Other values (2)
682 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금 412
15.5%
화 411
15.5%
목 391
14.7%
토 382
14.4%
수 380
14.3%
월 373
14.0%
일 309
11.6%

Length

2023-12-12T14:46:01.720821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:01.834962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 412
15.5%
화 411
15.5%
목 391
14.7%
토 382
14.4%
수 380
14.3%
월 373
14.0%
일 309
11.6%

사망자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
1
2586 
2
 
67
3
 
5

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 2586
97.3%
2 67
 
2.5%
3 5
 
0.2%

Length

2023-12-12T14:46:01.958516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:02.072999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2586
97.3%
2 67
 
2.5%
3 5
 
0.2%

부상자수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43416102
Minimum0
Maximum18
Zeros2075
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:02.186483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2203546
Coefficient of variation (CV)2.8108341
Kurtosis54.168455
Mean0.43416102
Median Absolute Deviation (MAD)0
Skewness5.9413257
Sum1154
Variance1.4892654
MonotonicityNot monotonic
2023-12-12T14:46:02.326705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 2075
78.1%
1 338
 
12.7%
2 133
 
5.0%
3 40
 
1.5%
4 34
 
1.3%
5 9
 
0.3%
6 9
 
0.3%
7 7
 
0.3%
8 4
 
0.2%
10 2
 
0.1%
Other values (5) 7
 
0.3%
ValueCountFrequency (%)
0 2075
78.1%
1 338
 
12.7%
2 133
 
5.0%
3 40
 
1.5%
4 34
 
1.3%
5 9
 
0.3%
6 9
 
0.3%
7 7
 
0.3%
8 4
 
0.2%
9 2
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
15 2
 
0.1%
12 1
 
< 0.1%
10 2
 
0.1%
9 2
 
0.1%
8 4
0.2%
7 7
0.3%
6 9
0.3%
5 9
0.3%

중상자수
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16252822
Minimum0
Maximum7
Zeros2369
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:02.461564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.57149311
Coefficient of variation (CV)3.5162701
Kurtosis39.928853
Mean0.16252822
Median Absolute Deviation (MAD)0
Skewness5.394826
Sum432
Variance0.32660437
MonotonicityNot monotonic
2023-12-12T14:46:02.570532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2369
89.1%
1 206
 
7.8%
2 51
 
1.9%
3 17
 
0.6%
4 9
 
0.3%
6 3
 
0.1%
7 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 2369
89.1%
1 206
 
7.8%
2 51
 
1.9%
3 17
 
0.6%
4 9
 
0.3%
5 1
 
< 0.1%
6 3
 
0.1%
7 2
 
0.1%
ValueCountFrequency (%)
7 2
 
0.1%
6 3
 
0.1%
5 1
 
< 0.1%
4 9
 
0.3%
3 17
 
0.6%
2 51
 
1.9%
1 206
 
7.8%
0 2369
89.1%

경상자수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24680211
Minimum0
Maximum13
Zeros2284
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:02.664479image/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 deviation0.85802414
Coefficient of variation (CV)3.4765673
Kurtosis70.126221
Mean0.24680211
Median Absolute Deviation (MAD)0
Skewness6.9057437
Sum656
Variance0.73620543
MonotonicityNot monotonic
2023-12-12T14:46:03.043045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 2284
85.9%
1 243
 
9.1%
2 76
 
2.9%
3 20
 
0.8%
4 18
 
0.7%
5 5
 
0.2%
6 3
 
0.1%
7 3
 
0.1%
12 2
 
0.1%
11 1
 
< 0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 2284
85.9%
1 243
 
9.1%
2 76
 
2.9%
3 20
 
0.8%
4 18
 
0.7%
5 5
 
0.2%
6 3
 
0.1%
7 3
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 2
 
0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 3
 
0.1%
6 3
 
0.1%
5 5
 
0.2%
4 18
0.7%
3 20
0.8%

부상신고자수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0248307
Minimum0
Maximum8
Zeros2615
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:03.153054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2704637
Coefficient of variation (CV)10.892311
Kurtosis473.93378
Mean0.0248307
Median Absolute Deviation (MAD)0
Skewness19.484451
Sum66
Variance0.073150611
MonotonicityNot monotonic
2023-12-12T14:46:03.271900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 2615
98.4%
1 35
 
1.3%
2 4
 
0.2%
6 2
 
0.1%
3 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
0 2615
98.4%
1 35
 
1.3%
2 4
 
0.2%
3 1
 
< 0.1%
6 2
 
0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 2
 
0.1%
3 1
 
< 0.1%
2 4
 
0.2%
1 35
 
1.3%
0 2615
98.4%

발생지시도
Categorical

Distinct17
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
경기
534 
경북
297 
경남
250 
충남
223 
서울
215 
Other values (12)
1139 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전남
2nd row전북
3rd row경기
4th row부산
5th row서울

Common Values

ValueCountFrequency (%)
경기 534
20.1%
경북 297
11.2%
경남 250
9.4%
충남 223
8.4%
서울 215
8.1%
전남 197
 
7.4%
전북 191
 
7.2%
충북 146
 
5.5%
강원 131
 
4.9%
부산 111
 
4.2%
Other values (7) 363
13.7%

Length

2023-12-12T14:46:03.402771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 534
20.1%
경북 297
11.2%
경남 250
9.4%
충남 223
8.4%
서울 215
8.1%
전남 197
 
7.4%
전북 191
 
7.2%
충북 146
 
5.5%
강원 131
 
4.9%
부산 111
 
4.2%
Other values (7) 363
13.7%

발생지시군구
Text

Distinct206
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
2023-12-12T14:46:03.718079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.065839
Min length2

Characters and Unicode

Total characters8149
Distinct characters135
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row순천시
2nd row전주시
3rd row연천군
4th row기장군
5th row서대문구
ValueCountFrequency (%)
창원시(통합 57
 
2.1%
평택시 53
 
2.0%
청주시 51
 
1.9%
서구 46
 
1.7%
북구 46
 
1.7%
천안시 46
 
1.7%
화성시 42
 
1.6%
제주시 36
 
1.4%
고양시 36
 
1.4%
경주시 32
 
1.2%
Other values (196) 2213
83.3%
2023-12-12T14:46:04.170196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1468
 
18.0%
군 672
 
8.2%
구 626
 
7.7%
주 416
 
5.1%
천 277
 
3.4%
산 246
 
3.0%
성 222
 
2.7%
양 211
 
2.6%
안 176
 
2.2%
서 142
 
1.7%
Other values (125) 3693
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8035
98.6%
Open Punctuation 57
 
0.7%
Close Punctuation 57
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1468
18.3%
군 672
 
8.4%
구 626
 
7.8%
주 416
 
5.2%
천 277
 
3.4%
산 246
 
3.1%
성 222
 
2.8%
양 211
 
2.6%
안 176
 
2.2%
서 142
 
1.8%
Other values (123) 3579
44.5%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8035
98.6%
Common 114
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1468
18.3%
군 672
 
8.4%
구 626
 
7.8%
주 416
 
5.2%
천 277
 
3.4%
산 246
 
3.1%
성 222
 
2.8%
양 211
 
2.6%
안 176
 
2.2%
서 142
 
1.8%
Other values (123) 3579
44.5%
Common
ValueCountFrequency (%)
( 57
50.0%
) 57
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8035
98.6%
ASCII 114
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1468
18.3%
군 672
 
8.4%
구 626
 
7.8%
주 416
 
5.2%
천 277
 
3.4%
산 246
 
3.1%
성 222
 
2.8%
양 211
 
2.6%
안 176
 
2.2%
서 142
 
1.8%
Other values (123) 3579
44.5%
ASCII
ValueCountFrequency (%)
( 57
50.0%
) 57
50.0%

사고유형_대분류
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
차대차
1121 
차대사람
900 
차량단독
635 
철길건널목
 
2

Length

Max length5
Median length4
Mean length3.5790068
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 1121
42.2%
차대사람 900
33.9%
차량단독 635
23.9%
철길건널목 2
 
0.1%

Length

2023-12-12T14:46:04.321165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:04.442708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 1121
42.2%
차대사람 900
33.9%
차량단독 635
23.9%
철길건널목 2
 
0.1%

사고유형_중분류
Categorical

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
기타
631 
횡단중
431 
측면충돌
382 
추돌
316 
공작물충돌
304 
Other values (10)
594 

Length

Max length10
Median length9
Mean length3.3337096
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공작물충돌
2nd row추돌
3rd row도로이탈
4th row기타
5th row횡단중

Common Values

ValueCountFrequency (%)
기타 631
23.7%
횡단중 431
16.2%
측면충돌 382
14.4%
추돌 316
11.9%
공작물충돌 304
11.4%
정면충돌 175
 
6.6%
차도통행중 148
 
5.6%
도로이탈 96
 
3.6%
전도 82
 
3.1%
길가장자리구역통행중 41
 
1.5%
Other values (5) 52
 
2.0%

Length

2023-12-12T14:46:04.577686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 631
23.7%
횡단중 431
16.2%
측면충돌 382
14.4%
추돌 316
11.9%
공작물충돌 304
11.4%
정면충돌 175
 
6.6%
차도통행중 148
 
5.6%
도로이탈 96
 
3.6%
전도 82
 
3.1%
길가장자리구역통행중 41
 
1.5%
Other values (6) 56
 
2.1%

사고유형
Categorical

Distinct16
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
기타
631 
횡단중
431 
측면충돌
382 
추돌
316 
공작물충돌
304 
Other values (11)
594 

Length

Max length10
Median length9
Mean length3.4420617
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공작물충돌
2nd row추돌
3rd row도로이탈 추락
4th row기타
5th row횡단중

Common Values

ValueCountFrequency (%)
기타 631
23.7%
횡단중 431
16.2%
측면충돌 382
14.4%
추돌 316
11.9%
공작물충돌 304
11.4%
정면충돌 175
 
6.6%
차도통행중 148
 
5.6%
전도 82
 
3.1%
도로이탈 추락 78
 
2.9%
길가장자리구역통행중 41
 
1.5%
Other values (6) 70
 
2.6%

Length

2023-12-12T14:46:04.735608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 649
23.5%
횡단중 431
15.6%
측면충돌 382
13.9%
추돌 316
11.5%
공작물충돌 304
11.0%
정면충돌 175
 
6.3%
차도통행중 148
 
5.4%
도로이탈 96
 
3.5%
전도 82
 
3.0%
추락 78
 
2.8%
Other values (7) 97
 
3.5%

가해자법규위반
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
안전운전 의무 불이행
1753 
기타
314 
신호위반
223 
중앙선 침범
 
165
보행자 보호의무 위반
 
102
Other values (2)
 
101

Length

Max length11
Median length11
Mean length8.9747931
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 1753
66.0%
기타 314
 
11.8%
신호위반 223
 
8.4%
중앙선 침범 165
 
6.2%
보행자 보호의무 위반 102
 
3.8%
안전거리 미확보 57
 
2.1%
교차로 통행방법 위반 44
 
1.7%

Length

2023-12-12T14:46:04.891728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:05.032811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 1753
26.3%
의무 1753
26.3%
불이행 1753
26.3%
기타 314
 
4.7%
신호위반 223
 
3.3%
중앙선 165
 
2.5%
침범 165
 
2.5%
위반 146
 
2.2%
보행자 102
 
1.5%
보호의무 102
 
1.5%
Other values (4) 202
 
3.0%

도로형태_대분류
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
단일로
1609 
교차로
913 
기타
 
133
철길건널목
 
2
불명
 
1

Length

Max length5
Median length3
Mean length2.951091
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 1609
60.5%
교차로 913
34.3%
기타 133
 
5.0%
철길건널목 2
 
0.1%
불명 1
 
< 0.1%

Length

2023-12-12T14:46:05.187809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:46:05.335832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 1609
60.5%
교차로 913
34.3%
기타 133
 
5.0%
철길건널목 2
 
0.1%
불명 1
 
< 0.1%

도로형태
Categorical

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
기타단일로
1448 
교차로내
523 
교차로부근
249 
교차로횡단보도내
 
141
기타
 
133
Other values (6)
164 

Length

Max length9
Median length5
Mean length4.8841234
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row교량위
2nd row기타단일로
3rd row기타단일로
4th row고가도로위
5th row기타단일로

Common Values

ValueCountFrequency (%)
기타단일로 1448
54.5%
교차로내 523
 
19.7%
교차로부근 249
 
9.4%
교차로횡단보도내 141
 
5.3%
기타 133
 
5.0%
지하차도(도로)내 80
 
3.0%
교량위 42
 
1.6%
터널안 21
 
0.8%
고가도로위 18
 
0.7%
철길건널목 2
 
0.1%

Length

2023-12-12T14:46:05.487877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 1448
54.5%
교차로내 523
 
19.7%
교차로부근 249
 
9.4%
교차로횡단보도내 141
 
5.3%
기타 133
 
5.0%
지하차도(도로)내 80
 
3.0%
교량위 42
 
1.6%
터널안 21
 
0.8%
고가도로위 18
 
0.7%
철길건널목 2
 
0.1%

가해자_당사자종별
Categorical

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
승용차
1151 
화물차
614 
이륜차
397 
승합차
141 
자전거
 
91
Other values (7)
264 

Length

Max length11
Median length3
Mean length3.278781
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 1151
43.3%
화물차 614
23.1%
이륜차 397
 
14.9%
승합차 141
 
5.3%
자전거 91
 
3.4%
건설기계 62
 
2.3%
농기계 58
 
2.2%
원동기장치자전거 53
 
2.0%
특수차 37
 
1.4%
사륜오토바이(ATV) 27
 
1.0%
Other values (2) 27
 
1.0%

Length

2023-12-12T14:46:05.662055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 1151
43.3%
화물차 614
23.1%
이륜차 397
 
14.9%
승합차 141
 
5.3%
자전거 91
 
3.4%
건설기계 62
 
2.3%
농기계 58
 
2.2%
원동기장치자전거 53
 
2.0%
특수차 37
 
1.4%
사륜오토바이(atv 27
 
1.0%
Other values (2) 27
 
1.0%

피해자_당사자종별
Categorical

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.9 KiB
보행자
900 
없음
630 
승용차
369 
화물차
243 
이륜차
196 
Other values (10)
320 

Length

Max length11
Median length3
Mean length2.8999248
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보행자 900
33.9%
없음 630
23.7%
승용차 369
13.9%
화물차 243
 
9.1%
이륜차 196
 
7.4%
자전거 105
 
4.0%
승합차 70
 
2.6%
건설기계 37
 
1.4%
농기계 30
 
1.1%
원동기장치자전거 24
 
0.9%
Other values (5) 54
 
2.0%

Length

2023-12-12T14:46:05.803909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행자 900
33.9%
없음 630
23.7%
승용차 369
13.9%
화물차 243
 
9.1%
이륜차 196
 
7.4%
자전거 105
 
4.0%
승합차 70
 
2.6%
건설기계 37
 
1.4%
농기계 30
 
1.1%
원동기장치자전거 24
 
0.9%
Other values (5) 54
 
2.0%

발생위치X_UTMK
Real number (ℝ)

Distinct2642
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005249.6
Minimum752100
Maximum1184714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:05.963824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum752100
5-th percentile912975.35
Q1945207.5
median973720
Q31072409.8
95-th percentile1146845.8
Maximum1184714
Range432614
Interquartile range (IQR)127202.25

Descriptive statistics

Standard deviation77533.717
Coefficient of variation (CV)0.077128823
Kurtosis-0.81330033
Mean1005249.6
Median Absolute Deviation (MAD)42843
Skewness0.60349334
Sum2.6719534 × 109
Variance6.0114773 × 109
MonotonicityNot monotonic
2023-12-12T14:46:06.156768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
966160 2
 
0.1%
943664 2
 
0.1%
995307 2
 
0.1%
926059 2
 
0.1%
946799 2
 
0.1%
931191 2
 
0.1%
1059249 2
 
0.1%
923106 2
 
0.1%
952400 2
 
0.1%
988678 2
 
0.1%
Other values (2632) 2638
99.2%
ValueCountFrequency (%)
752100 1
< 0.1%
754870 1
< 0.1%
860595 1
< 0.1%
865610 1
< 0.1%
866663 1
< 0.1%
873273 1
< 0.1%
876531 1
< 0.1%
877405 1
< 0.1%
877886 1
< 0.1%
878134 1
< 0.1%
ValueCountFrequency (%)
1184714 1
< 0.1%
1182957 1
< 0.1%
1180536 1
< 0.1%
1176990 1
< 0.1%
1176220 1
< 0.1%
1175656 1
< 0.1%
1175593 1
< 0.1%
1174896 1
< 0.1%
1174618 1
< 0.1%
1173859 1
< 0.1%

발생위치Y_UTMK
Real number (ℝ)

Distinct2645
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1821592
Minimum1470330
Maximum2056736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:06.305938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1470330
5-th percentile1645770.9
Q11721610.5
median1835357.5
Q31931987
95-th percentile1971411.2
Maximum2056736
Range586406
Interquartile range (IQR)210376.5

Descriptive statistics

Standard deviation117187.3
Coefficient of variation (CV)0.064332354
Kurtosis-0.56940449
Mean1821592
Median Absolute Deviation (MAD)102216
Skewness-0.44339985
Sum4.8417916 × 109
Variance1.3732864 × 1010
MonotonicityNot monotonic
2023-12-12T14:46:06.438332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1947520 3
 
0.1%
1791353 2
 
0.1%
1950712 2
 
0.1%
1645464 2
 
0.1%
1694222 2
 
0.1%
1946547 2
 
0.1%
1948856 2
 
0.1%
1815003 2
 
0.1%
1931105 2
 
0.1%
2013608 2
 
0.1%
Other values (2635) 2637
99.2%
ValueCountFrequency (%)
1470330 1
< 0.1%
1473409 1
< 0.1%
1473453 1
< 0.1%
1473637 1
< 0.1%
1474365 1
< 0.1%
1474592 1
< 0.1%
1475230 1
< 0.1%
1475356 1
< 0.1%
1476804 1
< 0.1%
1477091 1
< 0.1%
ValueCountFrequency (%)
2056736 1
< 0.1%
2050342 1
< 0.1%
2030776 1
< 0.1%
2023616 1
< 0.1%
2023291 1
< 0.1%
2023195 1
< 0.1%
2022114 1
< 0.1%
2022052 1
< 0.1%
2021901 1
< 0.1%
2021827 1
< 0.1%

경도
Real number (ℝ)

UNIQUE 

Distinct2658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.55585
Minimum124.67809
Maximum129.54897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:06.575521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124.67809
5-th percentile126.53458
Q1126.88355
median127.20627
Q3128.307
95-th percentile129.12384
Maximum129.54897
Range4.8708839
Interquartile range (IQR)1.4234479

Descriptive statistics

Standard deviation0.86066276
Coefficient of variation (CV)0.0067473408
Kurtosis-0.81888454
Mean127.55585
Median Absolute Deviation (MAD)0.48158031
Skewness0.60266446
Sum339043.44
Variance0.74074039
MonotonicityNot monotonic
2023-12-12T14:46:06.732030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.50064609 1
 
< 0.1%
126.49660041 1
 
< 0.1%
126.5107905 1
 
< 0.1%
127.13559462 1
 
< 0.1%
128.57690079 1
 
< 0.1%
126.58941408 1
 
< 0.1%
127.0506702 1
 
< 0.1%
126.83140262 1
 
< 0.1%
126.48110915 1
 
< 0.1%
126.79557505 1
 
< 0.1%
Other values (2648) 2648
99.6%
ValueCountFrequency (%)
124.67808969 1
< 0.1%
124.71485056 1
< 0.1%
125.97659651 1
< 0.1%
126.03427204 1
< 0.1%
126.05108168 1
< 0.1%
126.11411796 1
< 0.1%
126.13894971 1
< 0.1%
126.15262541 1
< 0.1%
126.16953501 1
< 0.1%
126.18328821 1
< 0.1%
ValueCountFrequency (%)
129.5489736 1
< 0.1%
129.52689969 1
< 0.1%
129.49812604 1
< 0.1%
129.47305118 1
< 0.1%
129.45585648 1
< 0.1%
129.44307447 1
< 0.1%
129.44276499 1
< 0.1%
129.44067639 1
< 0.1%
129.42831523 1
< 0.1%
129.426242 1
< 0.1%

위도
Real number (ℝ)

UNIQUE 

Distinct2658
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.388616
Minimum33.217963
Maximum38.507834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.5 KiB
2023-12-12T14:46:06.891709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.217963
5-th percentile34.804887
Q135.485941
median36.509836
Q337.385724
95-th percentile37.739066
Maximum38.507834
Range5.2898715
Interquartile range (IQR)1.8997826

Descriptive statistics

Standard deviation1.0575722
Coefficient of variation (CV)0.029063272
Kurtosis-0.57283504
Mean36.388616
Median Absolute Deviation (MAD)0.92456845
Skewness-0.44277581
Sum96720.94
Variance1.118459
MonotonicityNot monotonic
2023-12-12T14:46:07.052929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.9395644 1
 
< 0.1%
37.49386986 1
 
< 0.1%
36.7844914 1
 
< 0.1%
36.90904059 1
 
< 0.1%
35.20434836 1
 
< 0.1%
36.32013719 1
 
< 0.1%
35.8749418 1
 
< 0.1%
37.93144079 1
 
< 0.1%
35.13780224 1
 
< 0.1%
34.38599055 1
 
< 0.1%
Other values (2648) 2648
99.6%
ValueCountFrequency (%)
33.21796261 1
< 0.1%
33.24810544 1
< 0.1%
33.24885499 1
< 0.1%
33.24945761 1
< 0.1%
33.25713147 1
< 0.1%
33.25936902 1
< 0.1%
33.26461209 1
< 0.1%
33.26482165 1
< 0.1%
33.27570466 1
< 0.1%
33.28274108 1
< 0.1%
ValueCountFrequency (%)
38.50783408 1
< 0.1%
38.44979164 1
< 0.1%
38.27573371 1
< 0.1%
38.21151566 1
< 0.1%
38.20550303 1
< 0.1%
38.20416813 1
< 0.1%
38.19843574 1
< 0.1%
38.19420048 1
< 0.1%
38.19246488 1
< 0.1%
38.19161998 1
< 0.1%

Sample

발생년발생년월일시주야요일사망자수부상자수중상자수경상자수부상신고자수발생지시도발생지시군구사고유형_대분류사고유형_중분류사고유형가해자법규위반도로형태_대분류도로형태가해자_당사자종별피해자_당사자종별발생위치X_UTMK발생위치Y_UTMK경도위도
020222022-01-01 10:00주토10000전남순천시차량단독공작물충돌공작물충돌안전운전 의무 불이행단일로교량위승용차없음10000591660526127.50064634.939564
120222022-01-01 14:00주토10000전북전주시차대차추돌추돌안전운전 의무 불이행단일로기타단일로원동기장치자전거승용차9659291760951127.1227135.84449
220222022-01-01 17:00주토10000경기연천군차량단독도로이탈도로이탈 추락안전운전 의무 불이행단일로기타단일로이륜차없음9666672021002127.11936538.188669
320222022-01-01 20:00야토10000부산기장군차대차기타기타안전운전 의무 불이행단일로고가도로위승용차승용차11569901697307129.22577335.25892
420222022-01-02 06:00주일10000서울서대문구차대사람횡단중횡단중안전운전 의무 불이행단일로기타단일로승합차보행자9502171953529126.93618237.5798
520222022-01-02 20:00야일10000부산기장군차대차측면충돌측면충돌안전거리 미확보단일로기타단일로승용차이륜차11525801704921129.1787335.328228
620222022-01-02 21:00야일10000인천미추홀구차대사람차도통행중차도통행중기타단일로기타단일로승용차보행자9272561940265126.67747237.458727
720222022-01-03 04:00야월11010경기성남시차대차추돌추돌안전운전 의무 불이행기타기타화물차화물차9681261936615127.13973937.428141
820222022-01-03 15:00주월10000충북청주시차대사람횡단중횡단중신호위반교차로교차로횡단보도내승합차보행자10003191848214127.50356836.631809
920222022-01-03 15:00주월11100경남고성군차대차추돌추돌안전운전 의무 불이행단일로기타단일로화물차화물차10766021669205128.33960135.014923
발생년발생년월일시주야요일사망자수부상자수중상자수경상자수부상신고자수발생지시도발생지시군구사고유형_대분류사고유형_중분류사고유형가해자법규위반도로형태_대분류도로형태가해자_당사자종별피해자_당사자종별발생위치X_UTMK발생위치Y_UTMK경도위도
264820222022-12-29 14:00주목10000경기평택시차량단독기타기타안전운전 의무 불이행단일로기타단일로이륜차없음9532541890239126.9745637.009489
264920222022-12-29 15:00주목23300서울영등포구차량단독공작물충돌공작물충돌안전운전 의무 불이행단일로기타단일로승용차없음9457601946547126.88622337.516619
265020222022-12-29 16:00주목10000경기이천시차대차기타기타안전운전 의무 불이행기타기타화물차승용차9994481916297127.49377637.245545
265120222022-12-29 22:00야목25410경북구미시차대차추돌추돌안전운전 의무 불이행단일로기타단일로화물차화물차10673381809038128.24975836.276277
265220222022-12-30 05:00야금10000경기고양시차대사람기타기타기타교차로교차로횡단보도내승용차보행자9412611957241126.83445937.612728
265320222022-12-30 06:00주금10000경기의정부시차대차측면충돌측면충돌안전운전 의무 불이행단일로기타단일로자전거화물차9611791968034127.05955737.711064
265420222022-12-30 16:00주금10000경기연천군차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행단일로기타단일로화물차보행자9485212003558126.9134238.030605
265520222022-12-30 23:00야금11010서울동작구차대차측면충돌측면충돌신호위반교차로교차로내승용차승합차9536591945091126.97569637.503926
265620222022-12-31 05:00야토10000전북전주시차대차측면충돌측면충돌신호위반교차로교차로횡단보도내승용차자전거9671191759855127.13593235.834649
265720222022-12-31 20:00야토11001경기파주시차대사람횡단중횡단중기타단일로기타단일로이륜차보행자9362351973854126.77606237.76212