Overview

Dataset statistics

Number of variables22
Number of observations7772
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory184.0 B

Variable types

Categorical14
Numeric7
Text1

Alerts

도로형태_대분류 is highly imbalanced (55.9%)Imbalance
사망자수 is highly imbalanced (90.9%)Imbalance
부상신고자수 is highly skewed (γ1 = 26.67458742)Skewed
경상자수 is highly skewed (γ1 = 22.08363317)Skewed
중상자수 has 6590 (84.8%) zerosZeros
부상신고자수 has 7549 (97.1%) zerosZeros
경상자수 has 6616 (85.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:20:19.262447
Analysis finished2023-12-10 21:20:19.767526
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
평택시
576 
화성시
 
514
용인시
 
487
고양시
 
466
수원시
 
448
Other values (26)
5281 

Length

Max length4
Median length3
Mean length3.0831189
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row파주시
2nd row의정부시
3rd row이천시
4th row평택시
5th row화성시

Common Values

ValueCountFrequency (%)
평택시 576
 
7.4%
화성시 514
 
6.6%
용인시 487
 
6.3%
고양시 466
 
6.0%
수원시 448
 
5.8%
성남시 405
 
5.2%
안산시 405
 
5.2%
남양주시 360
 
4.6%
파주시 322
 
4.1%
시흥시 296
 
3.8%
Other values (21) 3493
44.9%

Length

2023-12-11T06:20:19.848567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평택시 576
 
7.4%
화성시 514
 
6.6%
용인시 487
 
6.3%
고양시 466
 
6.0%
수원시 448
 
5.8%
성남시 405
 
5.2%
안산시 405
 
5.2%
남양주시 360
 
4.6%
파주시 322
 
4.1%
시흥시 296
 
3.8%
Other values (21) 3493
44.9%

발생년도
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.2234
Minimum2012
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:19.984666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2016
Q32019
95-th percentile2022
Maximum2022
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.084038
Coefficient of variation (CV)0.0015296113
Kurtosis-1.0718571
Mean2016.2234
Median Absolute Deviation (MAD)3
Skewness0.31368257
Sum15670088
Variance9.5112903
MonotonicityDecreasing
2023-12-11T06:20:20.125701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2012 988
12.7%
2013 917
11.8%
2014 872
11.2%
2015 852
11.0%
2017 766
9.9%
2016 749
9.6%
2019 608
7.8%
2018 527
6.8%
2021 525
6.8%
2020 521
6.7%
ValueCountFrequency (%)
2012 988
12.7%
2013 917
11.8%
2014 872
11.2%
2015 852
11.0%
2016 749
9.6%
2017 766
9.9%
2018 527
6.8%
2019 608
7.8%
2020 521
6.7%
2021 525
6.8%
ValueCountFrequency (%)
2022 447
5.8%
2021 525
6.8%
2020 521
6.7%
2019 608
7.8%
2018 527
6.8%
2017 766
9.9%
2016 749
9.6%
2015 852
11.0%
2014 872
11.2%
2013 917
11.8%

발생일자
Text

Distinct7394
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-11T06:20:20.455116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters108808
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7030 ?
Unique (%)90.5%

Sample

1st row2022-12-31 20시
2nd row2022-12-30 06시
3rd row2022-12-29 16시
4th row2022-12-29 14시
5th row2022-12-29 11시
ValueCountFrequency (%)
18시 408
 
2.6%
23시 406
 
2.6%
20시 405
 
2.6%
19시 388
 
2.5%
05시 386
 
2.5%
21시 372
 
2.4%
06시 370
 
2.4%
00시 365
 
2.3%
22시 356
 
2.3%
01시 338
 
2.2%
Other values (3348) 11750
75.6%
2023-12-11T06:20:20.872054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21830
20.1%
1 17921
16.5%
2 17768
16.3%
- 15544
14.3%
7772
 
7.1%
시 7772
 
7.1%
3 3618
 
3.3%
5 2948
 
2.7%
7 2832
 
2.6%
4 2826
 
2.6%
Other values (3) 7977
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77720
71.4%
Dash Punctuation 15544
 
14.3%
Space Separator 7772
 
7.1%
Other Letter 7772
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21830
28.1%
1 17921
23.1%
2 17768
22.9%
3 3618
 
4.7%
5 2948
 
3.8%
7 2832
 
3.6%
4 2826
 
3.6%
6 2764
 
3.6%
9 2672
 
3.4%
8 2541
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 15544
100.0%
Space Separator
ValueCountFrequency (%)
7772
100.0%
Other Letter
ValueCountFrequency (%)
시 7772
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 101036
92.9%
Hangul 7772
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21830
21.6%
1 17921
17.7%
2 17768
17.6%
- 15544
15.4%
7772
 
7.7%
3 3618
 
3.6%
5 2948
 
2.9%
7 2832
 
2.8%
4 2826
 
2.8%
6 2764
 
2.7%
Other values (2) 5213
 
5.2%
Hangul
ValueCountFrequency (%)
시 7772
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101036
92.9%
Hangul 7772
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21830
21.6%
1 17921
17.7%
2 17768
17.6%
- 15544
15.4%
7772
 
7.7%
3 3618
 
3.6%
5 2948
 
2.9%
7 2832
 
2.8%
4 2826
 
2.8%
6 2764
 
2.7%
Other values (2) 5213
 
5.2%
Hangul
ValueCountFrequency (%)
시 7772
100.0%

주야구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
야간
4203 
주간
3569 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간
2nd row주간
3rd row주간
4th row주간
5th row주간

Common Values

ValueCountFrequency (%)
야간 4203
54.1%
주간 3569
45.9%

Length

2023-12-11T06:20:21.008793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:21.101562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야간 4203
54.1%
주간 3569
45.9%

사고요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
금요일
1173 
목요일
1167 
화요일
1133 
토요일
1132 
월요일
1115 
Other values (2)
2052 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토요일
2nd row금요일
3rd row목요일
4th row목요일
5th row목요일

Common Values

ValueCountFrequency (%)
금요일 1173
15.1%
목요일 1167
15.0%
화요일 1133
14.6%
토요일 1132
14.6%
월요일 1115
14.3%
수요일 1083
13.9%
일요일 969
12.5%

Length

2023-12-11T06:20:21.190095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:21.286107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금요일 1173
15.1%
목요일 1167
15.0%
화요일 1133
14.6%
토요일 1132
14.6%
월요일 1115
14.3%
수요일 1083
13.9%
일요일 969
12.5%

사고유형_대분류
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
차대차
3298 
차대사람
3040 
차량단독
1433 
철길건널목
 
1

Length

Max length5
Median length4
Mean length3.5757849
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 3298
42.4%
차대사람 3040
39.1%
차량단독 1433
18.4%
철길건널목 1
 
< 0.1%

Length

2023-12-11T06:20:21.647683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:21.751508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 3298
42.4%
차대사람 3040
39.1%
차량단독 1433
18.4%
철길건널목 1
 
< 0.1%

사고유형
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
기타
1947 
횡단중
1634 
측면충돌
986 
공작물충돌
750 
정면충돌
506 
Other values (14)
1949 

Length

Max length10
Median length9
Mean length3.5724395
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1947
25.1%
횡단중 1634
21.0%
측면충돌 986
12.7%
공작물충돌 750
 
9.7%
정면충돌 506
 
6.5%
추돌 449
 
5.8%
진행중 추돌 375
 
4.8%
차도통행중 322
 
4.1%
전도전복 246
 
3.2%
주정차중 추돌 173
 
2.2%
Other values (9) 384
 
4.9%

Length

2023-12-11T06:20:21.878150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 1971
23.4%
횡단중 1634
19.4%
추돌 997
11.8%
측면충돌 986
11.7%
공작물충돌 750
 
8.9%
정면충돌 506
 
6.0%
진행중 375
 
4.5%
차도통행중 322
 
3.8%
전도전복 246
 
2.9%
주정차중 173
 
2.1%
Other values (10) 462
 
5.5%

법규위반대분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
운전자법규위반
5143 
<NA>
2628 
보행자과실
 
1

Length

Max length7
Median length7
Mean length5.985332
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
운전자법규위반 5143
66.2%
<NA> 2628
33.8%
보행자과실 1
 
< 0.1%

Length

2023-12-11T06:20:21.999223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:22.114026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운전자법규위반 5143
66.2%
na 2628
33.8%
보행자과실 1
 
< 0.1%

법규위반내용
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
안전운전 의무 불이행
3625 
<NA>
2628 
신호위반
482 
중앙선 침범
403 
보행자 보호의무 위반
 
166
Other values (11)
468 

Length

Max length15
Median length11
Mean length7.7227226
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 3625
46.6%
<NA> 2628
33.8%
신호위반 482
 
6.2%
중앙선 침범 403
 
5.2%
보행자 보호의무 위반 166
 
2.1%
과속 150
 
1.9%
안전거리 미확보 106
 
1.4%
교차로 통행방법 위반 72
 
0.9%
기타(운전자법규위반) 54
 
0.7%
부당한 회전 30
 
0.4%
Other values (6) 56
 
0.7%

Length

2023-12-11T06:20:22.221529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의무 3626
22.5%
불이행 3626
22.5%
안전운전 3625
22.5%
na 2628
16.3%
신호위반 482
 
3.0%
중앙선 403
 
2.5%
침범 403
 
2.5%
위반 261
 
1.6%
보행자 166
 
1.0%
보호의무 166
 
1.0%
Other values (19) 759
 
4.7%

도로형태_대분류
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
단일로
4851 
교차로
2682 
기타
 
151
기타/불명
 
84
불명
 
3

Length

Max length5
Median length3
Mean length3.0020587
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 4851
62.4%
교차로 2682
34.5%
기타 151
 
1.9%
기타/불명 84
 
1.1%
불명 3
 
< 0.1%
철길건널목 1
 
< 0.1%

Length

2023-12-11T06:20:22.338018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:22.439472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 4851
62.4%
교차로 2682
34.5%
기타 151
 
1.9%
기타/불명 84
 
1.1%
불명 3
 
< 0.1%
철길건널목 1
 
< 0.1%

도로형태
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
기타단일로
4385 
교차로내
1553 
교차로부근
929 
교차로횡단보도내
 
200
횡단보도상
 
176
Other values (9)
529 

Length

Max length9
Median length5
Mean length4.8084148
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 4385
56.4%
교차로내 1553
 
20.0%
교차로부근 929
 
12.0%
교차로횡단보도내 200
 
2.6%
횡단보도상 176
 
2.3%
기타 151
 
1.9%
교량위 91
 
1.2%
기타/불명 84
 
1.1%
터널안 63
 
0.8%
지하차도(도로)내 47
 
0.6%
Other values (4) 93
 
1.2%

Length

2023-12-11T06:20:22.630127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 4385
56.4%
교차로내 1553
 
20.0%
교차로부근 929
 
12.0%
교차로횡단보도내 200
 
2.6%
횡단보도상 176
 
2.3%
기타 151
 
1.9%
교량위 91
 
1.2%
기타/불명 84
 
1.1%
터널안 63
 
0.8%
지하차도(도로)내 47
 
0.6%
Other values (4) 93
 
1.2%

가해자 당사자 종별
Categorical

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
승용차
3878 
화물차
1580 
이륜차
740 
승합차
723 
자전거
 
244
Other values (8)
607 

Length

Max length11
Median length3
Mean length3.2192486
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 3878
49.9%
화물차 1580
20.3%
이륜차 740
 
9.5%
승합차 723
 
9.3%
자전거 244
 
3.1%
원동기장치자전거 233
 
3.0%
건설기계 190
 
2.4%
특수차 86
 
1.1%
농기계 42
 
0.5%
개인형이동수단(PM) 24
 
0.3%
Other values (3) 32
 
0.4%

Length

2023-12-11T06:20:22.742418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 3878
49.9%
화물차 1580
20.3%
이륜차 740
 
9.5%
승합차 723
 
9.3%
자전거 244
 
3.1%
원동기장치자전거 233
 
3.0%
건설기계 190
 
2.4%
특수차 86
 
1.1%
농기계 42
 
0.5%
개인형이동수단(pm 24
 
0.3%
Other values (3) 32
 
0.4%

당사자1_차종
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
<NA>
2628 
중형
1719 
소형
1229 
대형
658 
승용차
385 
Other values (14)
1153 

Length

Max length11
Median length2
Mean length2.9801853
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2628
33.8%
중형 1719
22.1%
소형 1229
15.8%
대형 658
 
8.5%
승용차 385
 
5.0%
경형 318
 
4.1%
원동기장치자전거 192
 
2.5%
화물차 159
 
2.0%
자전거 149
 
1.9%
건설기계 115
 
1.5%
Other values (9) 220
 
2.8%

Length

2023-12-11T06:20:22.878082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2628
33.8%
중형 1719
22.1%
소형 1229
15.8%
대형 658
 
8.5%
승용차 385
 
5.0%
경형 318
 
4.1%
원동기장치자전거 192
 
2.5%
화물차 159
 
2.0%
자전거 149
 
1.9%
건설기계 115
 
1.5%
Other values (9) 220
 
2.8%

피해자 당사자 종별
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
보행자
3039 
없음
1430 
승용차
1101 
화물차
882 
이륜차
395 
Other values (11)
925 

Length

Max length11
Median length3
Mean length2.9140504
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보행자 3039
39.1%
없음 1430
18.4%
승용차 1101
 
14.2%
화물차 882
 
11.3%
이륜차 395
 
5.1%
승합차 282
 
3.6%
자전거 266
 
3.4%
건설기계 139
 
1.8%
원동기장치자전거 97
 
1.2%
특수차 62
 
0.8%
Other values (6) 79
 
1.0%

Length

2023-12-11T06:20:22.998132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행자 3039
39.1%
없음 1430
18.4%
승용차 1101
 
14.2%
화물차 882
 
11.3%
이륜차 395
 
5.1%
승합차 282
 
3.6%
자전거 266
 
3.4%
건설기계 139
 
1.8%
원동기장치자전거 97
 
1.2%
특수차 62
 
0.8%
Other values (6) 79
 
1.0%

당사자2_차종
Categorical

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
<NA>
2628 
보행자
2070 
없음
960 
중형
528 
소형
455 
Other values (15)
1131 

Length

Max length8
Median length4
Mean length3.0922542
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2628
33.8%
보행자 2070
26.6%
없음 960
 
12.4%
중형 528
 
6.8%
소형 455
 
5.9%
대형 374
 
4.8%
자전거 177
 
2.3%
승용차 112
 
1.4%
경형 96
 
1.2%
화물차 86
 
1.1%
Other values (10) 286
 
3.7%

Length

2023-12-11T06:20:23.105566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2628
33.8%
보행자 2070
26.6%
없음 960
 
12.4%
중형 528
 
6.8%
소형 455
 
5.9%
대형 374
 
4.8%
자전거 177
 
2.3%
승용차 112
 
1.4%
경형 96
 
1.2%
화물차 86
 
1.1%
Other values (10) 286
 
3.7%

사망자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
1
7544 
2
 
199
3
 
18
4
 
8
5
 
3

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 7544
97.1%
2 199
 
2.6%
3 18
 
0.2%
4 8
 
0.1%
5 3
 
< 0.1%

Length

2023-12-11T06:20:23.236261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:20:23.333282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7544
97.1%
2 199
 
2.6%
3 18
 
0.2%
4 8
 
0.1%
5 3
 
< 0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25025733
Minimum0
Maximum16
Zeros6590
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:23.421349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7955488
Coefficient of variation (CV)3.178923
Kurtosis74.470961
Mean0.25025733
Median Absolute Deviation (MAD)0
Skewness6.5748138
Sum1945
Variance0.63289789
MonotonicityNot monotonic
2023-12-11T06:20:23.527375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 6590
84.8%
1 781
 
10.0%
2 239
 
3.1%
3 87
 
1.1%
4 35
 
0.5%
5 12
 
0.2%
6 11
 
0.1%
7 6
 
0.1%
9 4
 
0.1%
8 3
 
< 0.1%
Other values (3) 4
 
0.1%
ValueCountFrequency (%)
0 6590
84.8%
1 781
 
10.0%
2 239
 
3.1%
3 87
 
1.1%
4 35
 
0.5%
5 12
 
0.2%
6 11
 
0.1%
7 6
 
0.1%
8 3
 
< 0.1%
9 4
 
0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
15 1
 
< 0.1%
13 2
 
< 0.1%
9 4
 
0.1%
8 3
 
< 0.1%
7 6
 
0.1%
6 11
 
0.1%
5 12
 
0.2%
4 35
0.5%
3 87
1.1%

부상자수
Real number (ℝ)

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6475811
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:23.663342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum105
Range104
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1444348
Coefficient of variation (CV)1.3015656
Kurtosis742.50033
Mean1.6475811
Median Absolute Deviation (MAD)0
Skewness19.019396
Sum12805
Variance4.5986005
MonotonicityNot monotonic
2023-12-11T06:20:23.779416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 5657
72.8%
2 1117
 
14.4%
3 442
 
5.7%
4 222
 
2.9%
5 131
 
1.7%
6 57
 
0.7%
7 35
 
0.5%
9 28
 
0.4%
8 25
 
0.3%
10 16
 
0.2%
Other values (18) 42
 
0.5%
ValueCountFrequency (%)
1 5657
72.8%
2 1117
 
14.4%
3 442
 
5.7%
4 222
 
2.9%
5 131
 
1.7%
6 57
 
0.7%
7 35
 
0.5%
8 25
 
0.3%
9 28
 
0.4%
10 16
 
0.2%
ValueCountFrequency (%)
105 1
< 0.1%
35 2
< 0.1%
34 2
< 0.1%
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%
25 2
< 0.1%
24 1
< 0.1%
22 2
< 0.1%
21 1
< 0.1%

부상신고자수
Real number (ℝ)

SKEWED  ZEROS 

Distinct15
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.062660834
Minimum0
Maximum30
Zeros7549
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:23.885592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66866211
Coefficient of variation (CV)10.671133
Kurtosis969.68663
Mean0.062660834
Median Absolute Deviation (MAD)0
Skewness26.674587
Sum487
Variance0.44710902
MonotonicityNot monotonic
2023-12-11T06:20:23.986189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7549
97.1%
1 152
 
2.0%
2 28
 
0.4%
3 14
 
0.2%
4 8
 
0.1%
6 5
 
0.1%
5 5
 
0.1%
7 3
 
< 0.1%
10 2
 
< 0.1%
12 1
 
< 0.1%
Other values (5) 5
 
0.1%
ValueCountFrequency (%)
0 7549
97.1%
1 152
 
2.0%
2 28
 
0.4%
3 14
 
0.2%
4 8
 
0.1%
5 5
 
0.1%
6 5
 
0.1%
7 3
 
< 0.1%
9 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
27 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
12 1
 
< 0.1%
10 2
 
< 0.1%
9 1
 
< 0.1%
7 3
< 0.1%
6 5
0.1%
5 5
0.1%

경상자수
Real number (ℝ)

SKEWED  ZEROS 

Distinct20
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29979413
Minimum0
Maximum68
Zeros6616
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:24.091228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum68
Range68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3147882
Coefficient of variation (CV)4.385637
Kurtosis951.72374
Mean0.29979413
Median Absolute Deviation (MAD)0
Skewness22.083633
Sum2330
Variance1.7286681
MonotonicityNot monotonic
2023-12-11T06:20:24.262345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6616
85.1%
1 713
 
9.2%
2 222
 
2.9%
3 92
 
1.2%
4 43
 
0.6%
5 30
 
0.4%
6 15
 
0.2%
7 13
 
0.2%
8 7
 
0.1%
9 5
 
0.1%
Other values (10) 16
 
0.2%
ValueCountFrequency (%)
0 6616
85.1%
1 713
 
9.2%
2 222
 
2.9%
3 92
 
1.2%
4 43
 
0.6%
5 30
 
0.4%
6 15
 
0.2%
7 13
 
0.2%
8 7
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
68 1
 
< 0.1%
22 1
 
< 0.1%
20 2
< 0.1%
18 2
< 0.1%
17 1
 
< 0.1%
16 2
< 0.1%
13 1
 
< 0.1%
12 2
< 0.1%
11 1
 
< 0.1%
10 3
< 0.1%

WGS84위도
Real number (ℝ)

Distinct7764
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.426862
Minimum36.908479
Maximum38.2364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:24.401131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.908479
5-th percentile37.006204
Q137.251533
median37.390825
Q337.641409
95-th percentile37.867242
Maximum38.2364
Range1.3279202
Interquartile range (IQR)0.38987559

Descriptive statistics

Standard deviation0.2588298
Coefficient of variation (CV)0.0069156158
Kurtosis-0.56973819
Mean37.426862
Median Absolute Deviation (MAD)0.18315237
Skewness0.26911735
Sum290881.57
Variance0.066992866
MonotonicityNot monotonic
2023-12-11T06:20:24.551021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.26250306 2
 
< 0.1%
37.56660917 2
 
< 0.1%
36.94779795 2
 
< 0.1%
37.07305702 2
 
< 0.1%
37.26880934 2
 
< 0.1%
37.38813183 2
 
< 0.1%
37.1358901 2
 
< 0.1%
37.74421508 2
 
< 0.1%
37.76212041 1
 
< 0.1%
37.34489202 1
 
< 0.1%
Other values (7754) 7754
99.8%
ValueCountFrequency (%)
36.90847942 1
< 0.1%
36.90868652 1
< 0.1%
36.91341304 1
< 0.1%
36.92133148 1
< 0.1%
36.92224959 1
< 0.1%
36.92457712 1
< 0.1%
36.92459481 1
< 0.1%
36.9262777 1
< 0.1%
36.92761002 1
< 0.1%
36.92798295 1
< 0.1%
ValueCountFrequency (%)
38.2363996 1
< 0.1%
38.2232167 1
< 0.1%
38.21309058 1
< 0.1%
38.20155292 1
< 0.1%
38.19507482 1
< 0.1%
38.18491694 1
< 0.1%
38.18115323 1
< 0.1%
38.18097396 1
< 0.1%
38.1743486 1
< 0.1%
38.15974384 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct7765
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04496
Minimum126.53014
Maximum127.79207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.4 KiB
2023-12-11T06:20:24.698870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53014
5-th percentile126.72582
Q1126.85559
median127.04015
Q3127.18625
95-th percentile127.50299
Maximum127.79207
Range1.2619243
Interquartile range (IQR)0.33066002

Descriptive statistics

Standard deviation0.23616577
Coefficient of variation (CV)0.0018589148
Kurtosis-0.060553897
Mean127.04496
Median Absolute Deviation (MAD)0.16709678
Skewness0.52734617
Sum987393.46
Variance0.055774269
MonotonicityNot monotonic
2023-12-11T06:20:24.884371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.01392117 2
 
< 0.1%
127.41796683 2
 
< 0.1%
126.97839369 2
 
< 0.1%
126.86883956 2
 
< 0.1%
127.08219692 2
 
< 0.1%
127.10203434 2
 
< 0.1%
126.91179776 2
 
< 0.1%
126.77606214 1
 
< 0.1%
126.91971735 1
 
< 0.1%
126.90544334 1
 
< 0.1%
Other values (7755) 7755
99.8%
ValueCountFrequency (%)
126.53014486 1
< 0.1%
126.53655022 1
< 0.1%
126.53663008 1
< 0.1%
126.53696719 1
< 0.1%
126.54409668 1
< 0.1%
126.54487481 1
< 0.1%
126.54487562 1
< 0.1%
126.54783551 1
< 0.1%
126.54786167 1
< 0.1%
126.55055496 1
< 0.1%
ValueCountFrequency (%)
127.79206913 1
< 0.1%
127.76905882 1
< 0.1%
127.76901515 1
< 0.1%
127.76632933 1
< 0.1%
127.7634519 1
< 0.1%
127.76152742 1
< 0.1%
127.7603234 1
< 0.1%
127.75704166 1
< 0.1%
127.75391687 1
< 0.1%
127.7526129 1
< 0.1%

Sample

시군명발생년도발생일자주야구분명사고요일사고유형_대분류사고유형법규위반대분류명법규위반내용도로형태_대분류도로형태가해자 당사자 종별당사자1_차종피해자 당사자 종별당사자2_차종사망자수중상자수부상자수부상신고자수경상자수WGS84위도WGS84경도
0파주시20222022-12-31 20시야간토요일차대사람횡단중<NA><NA>단일로기타단일로이륜차<NA>보행자<NA>1021037.76212126.776062
1의정부시20222022-12-30 06시주간금요일차대차측면충돌<NA><NA>단일로기타단일로자전거<NA>화물차<NA>1010037.711064127.059557
2이천시20222022-12-29 16시주간목요일차대차기타<NA><NA>기타기타화물차<NA>승용차<NA>1010037.245545127.493776
3평택시20222022-12-29 14시주간목요일차량단독기타<NA><NA>단일로기타단일로이륜차<NA>없음<NA>1010037.009489126.97456
4화성시20222022-12-29 11시주간목요일차량단독기타<NA><NA>기타기타이륜차<NA>없음<NA>1010037.051603126.850604
5파주시20222022-12-28 08시주간수요일차대차후진중충돌<NA><NA>단일로기타단일로건설기계<NA>자전거<NA>1010037.741494126.812935
6이천시20222022-12-27 17시주간화요일차대차추돌<NA><NA>단일로기타단일로승용차<NA>화물차<NA>1020137.245464127.494453
7평택시20222022-12-26 21시야간월요일차대차추돌<NA><NA>교차로교차로내승합차<NA>개인형이동수단(PM)<NA>1020137.041675127.045586
8평택시20222022-12-26 20시야간월요일차량단독전도<NA><NA>단일로기타단일로개인형이동수단(PM)<NA>없음<NA>1010037.061122127.053782
9남양주시20222022-12-26 18시야간월요일차대사람횡단중<NA><NA>단일로기타단일로승용차<NA>보행자<NA>1010037.659495127.28556
시군명발생년도발생일자주야구분명사고요일사고유형_대분류사고유형법규위반대분류명법규위반내용도로형태_대분류도로형태가해자 당사자 종별당사자1_차종피해자 당사자 종별당사자2_차종사망자수중상자수부상자수부상신고자수경상자수WGS84위도WGS84경도
7762수원시20122012-01-04 11시주간수요일차대사람횡단중운전자법규위반보행자 보호의무 위반교차로교차로내승합차대형보행자보행자1010037.275646127.016199
7763수원시20122012-01-02 22시야간월요일차대사람횡단중운전자법규위반안전운전 의무 불이행단일로기타단일로승용차중형보행자보행자1010037.254027127.035563
7764부천시20122012-01-02 20시야간월요일차대사람횡단중운전자법규위반안전운전 의무 불이행단일로횡단보도부근승용차소형보행자보행자1010037.483974126.770747
7765파주시20122012-01-02 15시주간월요일차대차정면충돌운전자법규위반중앙선 침범단일로기타단일로승용차경형화물차경형1120037.790526126.758079
7766광명시20122012-01-02 13시주간월요일차량단독전도전복운전자법규위반안전운전 의무 불이행단일로기타단일로화물차중형없음없음1010037.441025126.851244
7767고양시20122012-01-02 07시주간월요일차대사람횡단중운전자법규위반안전운전 의무 불이행단일로횡단보도상승합차대형보행자보행자1010037.67476126.750785
7768화성시20122012-01-02 06시주간월요일차대사람횡단중운전자법규위반안전운전 의무 불이행교차로교차로부근승합차대형보행자보행자1010037.194488126.939387
7769하남시20122012-01-02 05시야간월요일차대차진행중 추돌운전자법규위반안전운전 의무 불이행단일로기타단일로승용차대형승용차대형1020137.516629127.177687
7770포천시20122012-01-01 20시야간일요일차대차정면충돌운전자법규위반중앙선 침범단일로기타단일로승용차소형승용차소형29120137.826902127.148309
7771화성시20122012-01-01 04시야간일요일차대사람차도통행중운전자법규위반안전운전 의무 불이행단일로횡단보도부근승용차소형보행자보행자1010037.206636126.810748