Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory210.0 B

Variable types

Categorical12
DateTime1
Numeric9
Text1
Boolean1

Dataset

Description*어린이 관련 개별사고정보(2015~2019년)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094145/fileData.do

Alerts

도로형태_대분류 is highly imbalanced (56.5%)Imbalance
어린이사고 여부 is highly imbalanced (84.5%)Imbalance
부상신고자수 is highly skewed (γ1 = 25.066354)Skewed
위도 has unique valuesUnique
부상자수 has 7573 (75.7%) zerosZeros
중상자수 has 8517 (85.2%) zerosZeros
경상자수 has 8644 (86.4%) zerosZeros
부상신고자수 has 9817 (98.2%) zerosZeros

Reproduction

Analysis started2023-12-12 01:40:21.935548
Analysis finished2023-12-12 01:40:22.726561
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생년
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2015
2306 
2016
2127 
2017
2095 
2018
1815 
2019
1657 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2015
3rd row2015
4th row2016
5th row2018

Common Values

ValueCountFrequency (%)
2015 2306
23.1%
2016 2127
21.3%
2017 2095
20.9%
2018 1815
18.1%
2019 1657
16.6%

Length

2023-12-12T10:40:22.784734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:22.891207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 2306
23.1%
2016 2127
21.3%
2017 2095
20.9%
2018 1815
18.1%
2019 1657
16.6%

발생년월일시
Date

Distinct8775
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-01 05:00:00
Maximum2019-12-31 16:00:00
2023-12-12T10:40:23.059278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:40:23.260028image/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 size156.2 KiB
야
5021 
주
4979 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
야 5021
50.2%
주 4979
49.8%

Length

2023-12-12T10:40:23.440733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:23.546276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
야 5021
50.2%
주 4979
49.8%

요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
금
1539 
토
1494 
수
1450 
월
1448 
화
1425 
Other values (2)
2644 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
금 1539
15.4%
토 1494
14.9%
수 1450
14.5%
월 1448
14.5%
화 1425
14.2%
목 1414
14.1%
일 1230
12.3%

Length

2023-12-12T10:40:23.652062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:23.796267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금 1539
15.4%
토 1494
14.9%
수 1450
14.5%
월 1448
14.5%
화 1425
14.2%
목 1414
14.1%
일 1230
12.3%

사망자수
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.037
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:23.959619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.24624594
Coefficient of variation (CV)0.23745992
Kurtosis286.10356
Mean1.037
Median Absolute Deviation (MAD)0
Skewness12.515402
Sum10370
Variance0.060637064
MonotonicityNot monotonic
2023-12-12T10:40:24.150549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 9696
97.0%
2 265
 
2.6%
3 23
 
0.2%
4 13
 
0.1%
10 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
1 9696
97.0%
2 265
 
2.6%
3 23
 
0.2%
4 13
 
0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
5 1
 
< 0.1%
4 13
 
0.1%
3 23
 
0.2%
2 265
 
2.6%
1 9696
97.0%

부상자수
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.564
Minimum0
Maximum66
Zeros7573
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:24.315806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9454774
Coefficient of variation (CV)3.4494281
Kurtosis266.23876
Mean0.564
Median Absolute Deviation (MAD)0
Skewness12.52824
Sum5640
Variance3.7848825
MonotonicityNot monotonic
2023-12-12T10:40:24.821915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 7573
75.7%
1 1361
 
13.6%
2 477
 
4.8%
3 247
 
2.5%
4 114
 
1.1%
5 69
 
0.7%
6 46
 
0.5%
7 22
 
0.2%
8 17
 
0.2%
9 15
 
0.1%
Other values (23) 59
 
0.6%
ValueCountFrequency (%)
0 7573
75.7%
1 1361
 
13.6%
2 477
 
4.8%
3 247
 
2.5%
4 114
 
1.1%
5 69
 
0.7%
6 46
 
0.5%
7 22
 
0.2%
8 17
 
0.2%
9 15
 
0.1%
ValueCountFrequency (%)
66 1
< 0.1%
49 1
< 0.1%
42 1
< 0.1%
39 1
< 0.1%
37 1
< 0.1%
36 1
< 0.1%
34 1
< 0.1%
30 2
< 0.1%
28 1
< 0.1%
26 1
< 0.1%

중상자수
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2523
Minimum0
Maximum21
Zeros8517
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:25.063763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.83744543
Coefficient of variation (CV)3.3192447
Kurtosis98.533591
Mean0.2523
Median Absolute Deviation (MAD)0
Skewness7.3537687
Sum2523
Variance0.70131484
MonotonicityNot monotonic
2023-12-12T10:40:25.270715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8517
85.2%
1 978
 
9.8%
2 276
 
2.8%
3 112
 
1.1%
4 58
 
0.6%
5 20
 
0.2%
6 14
 
0.1%
8 9
 
0.1%
7 6
 
0.1%
13 3
 
< 0.1%
Other values (4) 7
 
0.1%
ValueCountFrequency (%)
0 8517
85.2%
1 978
 
9.8%
2 276
 
2.8%
3 112
 
1.1%
4 58
 
0.6%
5 20
 
0.2%
6 14
 
0.1%
7 6
 
0.1%
8 9
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
21 1
 
< 0.1%
18 1
 
< 0.1%
13 3
 
< 0.1%
11 2
 
< 0.1%
9 3
 
< 0.1%
8 9
 
0.1%
7 6
 
0.1%
6 14
 
0.1%
5 20
 
0.2%
4 58
0.6%

경상자수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2825
Minimum0
Maximum62
Zeros8644
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:25.455056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3523597
Coefficient of variation (CV)4.7871138
Kurtosis595.46662
Mean0.2825
Median Absolute Deviation (MAD)0
Skewness18.339127
Sum2825
Variance1.8288766
MonotonicityNot monotonic
2023-12-12T10:40:25.593948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 8644
86.4%
1 855
 
8.6%
2 247
 
2.5%
3 104
 
1.0%
4 52
 
0.5%
5 25
 
0.2%
7 14
 
0.1%
6 14
 
0.1%
9 9
 
0.1%
8 9
 
0.1%
Other values (16) 27
 
0.3%
ValueCountFrequency (%)
0 8644
86.4%
1 855
 
8.6%
2 247
 
2.5%
3 104
 
1.0%
4 52
 
0.5%
5 25
 
0.2%
6 14
 
0.1%
7 14
 
0.1%
8 9
 
0.1%
9 9
 
0.1%
ValueCountFrequency (%)
62 1
< 0.1%
41 1
< 0.1%
29 1
< 0.1%
26 1
< 0.1%
22 1
< 0.1%
21 2
< 0.1%
20 1
< 0.1%
19 1
< 0.1%
18 2
< 0.1%
17 1
< 0.1%

부상신고자수
Real number (ℝ)

SKEWED  ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0292
Minimum0
Maximum15
Zeros9817
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:25.713855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31393824
Coefficient of variation (CV)10.751309
Kurtosis904.28073
Mean0.0292
Median Absolute Deviation (MAD)0
Skewness25.066354
Sum292
Variance0.098557216
MonotonicityNot monotonic
2023-12-12T10:40:25.829895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9817
98.2%
1 135
 
1.4%
2 30
 
0.3%
3 7
 
0.1%
4 5
 
0.1%
10 2
 
< 0.1%
5 2
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
0 9817
98.2%
1 135
 
1.4%
2 30
 
0.3%
3 7
 
0.1%
4 5
 
0.1%
5 2
 
< 0.1%
10 2
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
< 0.1%
5 2
 
< 0.1%
4 5
 
0.1%
3 7
 
0.1%
2 30
 
0.3%
1 135
 
1.4%
0 9817
98.2%

발생지시도
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기
1775 
경북
1084 
전남
875 
충남
861 
경남
849 
Other values (12)
4556 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row서울
3rd row전북
4th row전북
5th row경북

Common Values

ValueCountFrequency (%)
경기 1775
17.8%
경북 1084
10.8%
전남 875
8.8%
충남 861
8.6%
경남 849
8.5%
서울 830
8.3%
전북 667
 
6.7%
충북 558
 
5.6%
강원 533
 
5.3%
부산 366
 
3.7%
Other values (7) 1602
16.0%

Length

2023-12-12T10:40:25.976329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 1775
17.8%
경북 1084
10.8%
전남 875
8.8%
충남 861
8.6%
경남 849
8.5%
서울 830
8.3%
전북 667
 
6.7%
충북 558
 
5.6%
강원 533
 
5.3%
부산 366
 
3.7%
Other values (7) 1602
16.0%

발생지시군구
Text

Distinct206
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:40:26.386021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0385
Min length2

Characters and Unicode

Total characters30385
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

Unique0 ?
Unique (%)0.0%

Sample

1st row성동구
2nd row서대문구
3rd row정읍시
4th row익산시
5th row고령군
ValueCountFrequency (%)
서구 202
 
2.0%
청주시 188
 
1.9%
북구 180
 
1.8%
창원시(통합 173
 
1.7%
동구 164
 
1.6%
평택시 143
 
1.4%
제주시 139
 
1.4%
중구 131
 
1.3%
천안시 126
 
1.3%
고양시 120
 
1.2%
Other values (196) 8434
84.3%
2023-12-12T10:40:26.957627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 5225
 
17.2%
군 2625
 
8.6%
구 2526
 
8.3%
주 1527
 
5.0%
산 953
 
3.1%
천 952
 
3.1%
성 830
 
2.7%
양 707
 
2.3%
안 632
 
2.1%
서 613
 
2.0%
Other values (125) 13795
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30039
98.9%
Close Punctuation 173
 
0.6%
Open Punctuation 173
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5225
 
17.4%
군 2625
 
8.7%
구 2526
 
8.4%
주 1527
 
5.1%
산 953
 
3.2%
천 952
 
3.2%
성 830
 
2.8%
양 707
 
2.4%
안 632
 
2.1%
서 613
 
2.0%
Other values (123) 13449
44.8%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30039
98.9%
Common 346
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5225
 
17.4%
군 2625
 
8.7%
구 2526
 
8.4%
주 1527
 
5.1%
산 953
 
3.2%
천 952
 
3.2%
성 830
 
2.8%
양 707
 
2.4%
안 632
 
2.1%
서 613
 
2.0%
Other values (123) 13449
44.8%
Common
ValueCountFrequency (%)
) 173
50.0%
( 173
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30039
98.9%
ASCII 346
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 5225
 
17.4%
군 2625
 
8.7%
구 2526
 
8.4%
주 1527
 
5.1%
산 953
 
3.2%
천 952
 
3.2%
성 830
 
2.8%
양 707
 
2.4%
안 632
 
2.1%
서 613
 
2.0%
Other values (123) 13449
44.8%
ASCII
ValueCountFrequency (%)
) 173
50.0%
( 173
50.0%

사고유형_대분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
차대차
3998 
차대사람
3918 
차량단독
2080 
철길건널목
 
4

Length

Max length5
Median length4
Mean length3.6006
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차대차 3998
40.0%
차대사람 3918
39.2%
차량단독 2080
20.8%
철길건널목 4
 
< 0.1%

Length

2023-12-12T10:40:27.129651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:27.274282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차대차 3998
40.0%
차대사람 3918
39.2%
차량단독 2080
20.8%
철길건널목 4
 
< 0.1%

사고유형_중분류
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
횡단중
2312 
기타
1941 
측면충돌
1467 
추돌
1056 
공작물충돌
851 
Other values (12)
2373 

Length

Max length10
Median length9
Mean length3.384
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
횡단중 2312
23.1%
기타 1941
19.4%
측면충돌 1467
14.7%
추돌 1056
10.6%
공작물충돌 851
 
8.5%
정면충돌 673
 
6.7%
전도전복 485
 
4.9%
차도통행중 457
 
4.6%
도로이탈 238
 
2.4%
길가장자리구역통행중 192
 
1.9%
Other values (7) 328
 
3.3%

Length

2023-12-12T10:40:27.419658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
횡단중 2312
23.1%
기타 1941
19.4%
측면충돌 1467
14.7%
추돌 1056
10.6%
공작물충돌 851
 
8.5%
정면충돌 673
 
6.7%
전도전복 485
 
4.8%
차도통행중 457
 
4.6%
도로이탈 238
 
2.4%
길가장자리구역통행중 192
 
1.9%
Other values (8) 334
 
3.3%

사고유형
Categorical

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
횡단중
2312 
기타
1941 
측면충돌
1467 
공작물충돌
851 
정면충돌
673 
Other values (15)
2756 

Length

Max length10
Median length9
Mean length3.6563
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
횡단중 2312
23.1%
기타 1941
19.4%
측면충돌 1467
14.7%
공작물충돌 851
 
8.5%
정면충돌 673
 
6.7%
추돌 576
 
5.8%
전도전복 485
 
4.9%
차도통행중 457
 
4.6%
진행중 추돌 391
 
3.9%
길가장자리구역통행중 192
 
1.9%
Other values (10) 655
 
6.6%

Length

2023-12-12T10:40:27.617845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
횡단중 2312
21.6%
기타 2007
18.7%
측면충돌 1467
13.7%
추돌 1056
9.8%
공작물충돌 851
 
7.9%
정면충돌 673
 
6.3%
전도전복 485
 
4.5%
차도통행중 457
 
4.3%
진행중 391
 
3.6%
도로이탈 238
 
2.2%
Other values (11) 787
 
7.3%

가해자법규위반
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
안전운전 의무 불이행
6887 
신호위반
801 
중앙선 침범
759 
과속
 
499
보행자 보호의무 위반
 
402
Other values (3)
 
652

Length

Max length11
Median length11
Mean length9.2621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안전운전 의무 불이행 6887
68.9%
신호위반 801
 
8.0%
중앙선 침범 759
 
7.6%
과속 499
 
5.0%
보행자 보호의무 위반 402
 
4.0%
기타 329
 
3.3%
안전거리 미확보 175
 
1.8%
교차로 통행방법 위반 148
 
1.5%

Length

2023-12-12T10:40:27.815127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:27.950923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안전운전 6887
26.7%
의무 6887
26.7%
불이행 6887
26.7%
신호위반 801
 
3.1%
중앙선 759
 
2.9%
침범 759
 
2.9%
위반 550
 
2.1%
과속 499
 
1.9%
보행자 402
 
1.6%
보호의무 402
 
1.6%
Other values (5) 975
 
3.8%

도로형태_대분류
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단일로
6445 
교차로
3248 
기타
 
196
기타/불명
 
103
불명
 
4

Length

Max length5
Median length3
Mean length3.0014
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단일로 6445
64.5%
교차로 3248
32.5%
기타 196
 
2.0%
기타/불명 103
 
1.0%
불명 4
 
< 0.1%
철길건널목 4
 
< 0.1%

Length

2023-12-12T10:40:28.120419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:40:28.270972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단일로 6445
64.5%
교차로 3248
32.5%
기타 196
 
2.0%
기타/불명 103
 
1.0%
불명 4
 
< 0.1%
철길건널목 4
 
< 0.1%

도로형태
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타단일로
5890 
교차로내
1933 
교차로부근
1066 
교차로횡단보도내
 
249
기타
 
196
Other values (9)
666 

Length

Max length9
Median length5
Mean length4.8203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타단일로 5890
58.9%
교차로내 1933
 
19.3%
교차로부근 1066
 
10.7%
교차로횡단보도내 249
 
2.5%
기타 196
 
2.0%
횡단보도상 194
 
1.9%
교량위 135
 
1.4%
기타/불명 103
 
1.0%
지하차도(도로)내 85
 
0.9%
터널안 64
 
0.6%
Other values (4) 85
 
0.9%

Length

2023-12-12T10:40:28.425740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타단일로 5890
58.9%
교차로내 1933
 
19.3%
교차로부근 1066
 
10.7%
교차로횡단보도내 249
 
2.5%
기타 196
 
2.0%
횡단보도상 194
 
1.9%
교량위 135
 
1.4%
기타/불명 103
 
1.0%
지하차도(도로)내 85
 
0.9%
터널안 64
 
0.6%
Other values (4) 85
 
0.9%

가해자_당사자종별
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
승용차
4881 
화물차
2279 
이륜차
1040 
승합차
674 
원동기장치자전거
 
312
Other values (8)
814 

Length

Max length11
Median length3
Mean length3.2399
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 4881
48.8%
화물차 2279
22.8%
이륜차 1040
 
10.4%
승합차 674
 
6.7%
원동기장치자전거 312
 
3.1%
자전거 244
 
2.4%
건설기계 219
 
2.2%
농기계 161
 
1.6%
특수차 99
 
1.0%
사륜오토바이(ATV) 69
 
0.7%
Other values (3) 22
 
0.2%

Length

2023-12-12T10:40:28.603720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
승용차 4881
48.8%
화물차 2279
22.8%
이륜차 1040
 
10.4%
승합차 674
 
6.7%
원동기장치자전거 312
 
3.1%
자전거 244
 
2.4%
건설기계 219
 
2.2%
농기계 161
 
1.6%
특수차 99
 
1.0%
사륜오토바이(atv 69
 
0.7%
Other values (3) 22
 
0.2%

피해자_당사자종별
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
보행자
3915 
없음
2074 
승용차
1283 
화물차
1021 
이륜차
513 
Other values (11)
1194 

Length

Max length11
Median length3
Mean length2.9031
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
보행자 3915
39.1%
없음 2074
20.7%
승용차 1283
 
12.8%
화물차 1021
 
10.2%
이륜차 513
 
5.1%
자전거 343
 
3.4%
승합차 287
 
2.9%
원동기장치자전거 167
 
1.7%
건설기계 144
 
1.4%
농기계 135
 
1.4%
Other values (6) 118
 
1.2%

Length

2023-12-12T10:40:28.759212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보행자 3915
39.1%
없음 2074
20.7%
승용차 1283
 
12.8%
화물차 1021
 
10.2%
이륜차 513
 
5.1%
자전거 343
 
3.4%
승합차 287
 
2.9%
원동기장치자전거 167
 
1.7%
건설기계 144
 
1.4%
농기계 135
 
1.4%
Other values (6) 118
 
1.2%

발생위치(X_UTMK)
Real number (ℝ)

Distinct9783
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1006496.1
Minimum0
Maximum1186597
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:28.920992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile911032.99
Q1945842.25
median976512.5
Q31077308.8
95-th percentile1149079.1
Maximum1186597
Range1186597
Interquartile range (IQR)131466.5

Descriptive statistics

Standard deviation78443.096
Coefficient of variation (CV)0.077936812
Kurtosis1.7520306
Mean1006496.1
Median Absolute Deviation (MAD)44085
Skewness0.37296495
Sum1.0064961 × 1010
Variance6.1533193 × 109
MonotonicityNot monotonic
2023-12-12T10:40:29.121330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
945828.0 3
 
< 0.1%
951271.0 3
 
< 0.1%
937167.0 3
 
< 0.1%
959750.0 3
 
< 0.1%
942107.0 3
 
< 0.1%
966994.0 3
 
< 0.1%
938803.0 3
 
< 0.1%
951107.0 3
 
< 0.1%
963644.0 2
 
< 0.1%
974680.0 2
 
< 0.1%
Other values (9773) 9972
99.7%
ValueCountFrequency (%)
0.0 1
< 0.1%
755186.0 1
< 0.1%
756184.0 1
< 0.1%
841325.5 1
< 0.1%
856781.0 1
< 0.1%
856794.0 1
< 0.1%
856909.0 1
< 0.1%
861898.0 1
< 0.1%
862137.0 1
< 0.1%
862538.0 1
< 0.1%
ValueCountFrequency (%)
1186597.0 1
< 0.1%
1185256.0 1
< 0.1%
1184860.0 1
< 0.1%
1183479.0 1
< 0.1%
1182298.0 1
< 0.1%
1181326.0 1
< 0.1%
1180229.0 1
< 0.1%
1180026.0 1
< 0.1%
1179885.0 1
< 0.1%
1178079.0 1
< 0.1%

발생위치(Y_UTMK)
Real number (ℝ)

Distinct9866
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1816220.3
Minimum0
Maximum2049835
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:29.315632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1641691.8
Q11716357.2
median1819299
Q31930269.2
95-th percentile1971020
Maximum2049835
Range2049835
Interquartile range (IQR)213912

Descriptive statistics

Standard deviation120238.15
Coefficient of variation (CV)0.066202404
Kurtosis4.5695055
Mean1816220.3
Median Absolute Deviation (MAD)107890.5
Skewness-0.72938012
Sum1.8162203 × 1010
Variance1.4457213 × 1010
MonotonicityNot monotonic
2023-12-12T10:40:29.482029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1952341.0 3
 
< 0.1%
1666782.0 3
 
< 0.1%
1943479.0 3
 
< 0.1%
1701203.0 2
 
< 0.1%
1799959.0 2
 
< 0.1%
1854607.0 2
 
< 0.1%
1953382.0 2
 
< 0.1%
1933899.0 2
 
< 0.1%
1697489.0 2
 
< 0.1%
1954537.0 2
 
< 0.1%
Other values (9856) 9977
99.8%
ValueCountFrequency (%)
0.0 1
< 0.1%
1470725.0 1
< 0.1%
1470790.0 1
< 0.1%
1471474.0 1
< 0.1%
1471793.0 1
< 0.1%
1472070.0 1
< 0.1%
1472639.0 1
< 0.1%
1472958.0 1
< 0.1%
1473198.0 1
< 0.1%
1473256.0 1
< 0.1%
ValueCountFrequency (%)
2049835.0 1
< 0.1%
2048977.0 1
< 0.1%
2042300.1 1
< 0.1%
2034492.4 1
< 0.1%
2032313.0 1
< 0.1%
2030465.0 1
< 0.1%
2029942.7 1
< 0.1%
2029583.6 1
< 0.1%
2029335.0 1
< 0.1%
2029171.0 1
< 0.1%

경도
Real number (ℝ)

Distinct9996
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.5702
Minimum117.9926
Maximum129.57034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:29.640955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum117.9926
5-th percentile126.52197
Q1126.89777
median127.23594
Q3128.35947
95-th percentile129.15124
Maximum129.57034
Range11.577738
Interquartile range (IQR)1.4617053

Descriptive statistics

Standard deviation0.86835908
Coefficient of variation (CV)0.0068069115
Kurtosis0.52846198
Mean127.5702
Median Absolute Deviation (MAD)0.49356545
Skewness0.45413625
Sum1275702
Variance0.75404749
MonotonicityNot monotonic
2023-12-12T10:40:29.875247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1264482 2
 
< 0.1%
127.1323401 2
 
< 0.1%
127.0524173 2
 
< 0.1%
127.4320428 2
 
< 0.1%
127.0437508 1
 
< 0.1%
128.6932004 1
 
< 0.1%
126.7454679 1
 
< 0.1%
128.5527944 1
 
< 0.1%
127.1711585 1
 
< 0.1%
128.381655 1
 
< 0.1%
Other values (9986) 9986
99.9%
ValueCountFrequency (%)
117.9926028 1
< 0.1%
124.7185165 1
< 0.1%
124.7244367 1
< 0.1%
125.7010762 1
< 0.1%
125.9349667 1
< 0.1%
125.9361609 1
< 0.1%
125.9373788 1
< 0.1%
125.9491017 1
< 0.1%
125.9921842 1
< 0.1%
125.9979946 1
< 0.1%
ValueCountFrequency (%)
129.570341 1
< 0.1%
129.5550878 1
< 0.1%
129.5502646 1
< 0.1%
129.5373306 1
< 0.1%
129.5195417 1
< 0.1%
129.5072545 1
< 0.1%
129.4939787 1
< 0.1%
129.4921519 1
< 0.1%
129.4903874 1
< 0.1%
129.4754016 1
< 0.1%

위도
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.340133
Minimum19.694477
Maximum38.445604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T10:40:30.056833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.694477
5-th percentile34.766128
Q135.436442
median36.368289
Q337.370219
95-th percentile37.737199
Maximum38.445604
Range18.751127
Interquartile range (IQR)1.9337763

Descriptive statistics

Standard deviation1.0854762
Coefficient of variation (CV)0.029869902
Kurtosis4.886519
Mean36.340133
Median Absolute Deviation (MAD)0.97409362
Skewness-0.74383449
Sum363401.33
Variance1.1782586
MonotonicityNot monotonic
2023-12-12T10:40:30.242865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56690688 1
 
< 0.1%
38.20489756 1
 
< 0.1%
35.85191091 1
 
< 0.1%
35.93815114 1
 
< 0.1%
36.3645246 1
 
< 0.1%
35.1618416 1
 
< 0.1%
37.35422085 1
 
< 0.1%
35.40791976 1
 
< 0.1%
37.33628925 1
 
< 0.1%
35.82795233 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
19.69447708 1
< 0.1%
33.22152845 1
< 0.1%
33.22213798 1
< 0.1%
33.22829208 1
< 0.1%
33.23230456 1
< 0.1%
33.23379194 1
< 0.1%
33.24139069 1
< 0.1%
33.24409439 1
< 0.1%
33.24422978 1
< 0.1%
33.24537122 1
< 0.1%
ValueCountFrequency (%)
38.44560399 1
< 0.1%
38.43757563 1
< 0.1%
38.37697705 1
< 0.1%
38.3062905 1
< 0.1%
38.28677755 1
< 0.1%
38.27456393 1
< 0.1%
38.26673324 1
< 0.1%
38.2649798 1
< 0.1%
38.26241212 1
< 0.1%
38.25967616 1
< 0.1%

어린이사고 여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9775 
True
 
225
ValueCountFrequency (%)
False 9775
97.8%
True 225
 
2.2%
2023-12-12T10:40:30.415346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

발생년발생년월일시주야요일사망자수부상자수중상자수경상자수부상신고자수발생지시도발생지시군구사고유형_대분류사고유형_중분류사고유형가해자법규위반도로형태_대분류도로형태가해자_당사자종별피해자_당사자종별발생위치(X_UTMK)발생위치(Y_UTMK)경도위도어린이사고 여부
929920172017-03-12 22야일10000서울성동구차대차기타기타안전운전 의무 불이행교차로교차로내이륜차화물차959708.01952047.0127.04375137.566907N
157820152015-05-21 04야목10000서울서대문구차대사람보도통행중보도통행중보행자 보호의무 위반교차로교차로내화물차보행자948200.01953838.0126.91331837.582474N
308720152015-09-21 05야월10000전북정읍시차대사람기타기타안전운전 의무 불이행교차로교차로부근승용차보행자940197.01730781.0126.84002235.571251N
461520162016-01-16 18야토10000전북익산시차대사람횡단중횡단중안전운전 의무 불이행교차로교차로내승용차보행자952595.01786624.0126.97352436.075394N
1420020182018-06-17 01야일13120경북고령군차량단독기타기타안전운전 의무 불이행단일로기타단일로승용차없음1071026.01746421.0128.28520335.711514N
82620152015-03-16 17주월10000전남화순군차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행기타/불명기타/불명건설기계보행자953843.01674526.0126.99378235.064752N
1754220192019-05-25 00야토10000경기의왕시차대사람차도통행중차도통행중안전운전 의무 불이행단일로터널안화물차보행자959142.01932942.0127.03840237.394681N
599620162016-05-27 10주금10000경남창원시(통합)차대사람횡단중횡단중안전운전 의무 불이행단일로기타단일로승용차보행자1108717.01690927.0128.69439635.207809N
22320152015-01-19 18야월10000충남논산시차대사람횡단중횡단중중앙선 침범교차로교차로부근승용차보행자963674.01803621.0127.09577836.229107N
1332420182018-03-16 02야금10000충남보령시차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행단일로기타단일로승용차보행자909932.01834964.0126.49418536.508119N
발생년발생년월일시주야요일사망자수부상자수중상자수경상자수부상신고자수발생지시도발생지시군구사고유형_대분류사고유형_중분류사고유형가해자법규위반도로형태_대분류도로형태가해자_당사자종별피해자_당사자종별발생위치(X_UTMK)발생위치(Y_UTMK)경도위도어린이사고 여부
316620152015-09-27 05야일10000경기수원시차대사람횡단중횡단중안전운전 의무 불이행단일로기타단일로승합차보행자955684.01918869.0127.00017837.267674N
911420172017-02-21 18야화10000경북경산시차대사람기타기타안전운전 의무 불이행교차로교차로내승용차보행자1119531.01769226.0128.82474135.912382N
361020152015-10-28 00야수10000인천남동구차대사람기타기타중앙선 침범단일로기타단일로승용차보행자930837.01937037.0126.71826237.429908N
214620152015-07-05 15주일15050충북청주시차대차측면충돌측면충돌신호위반교차로교차로내승용차이륜차997969.01845808.0127.47728936.610117Y
1561920182018-10-26 21야금10000경남거제시차대사람차도통행중차도통행중안전운전 의무 불이행단일로기타단일로승용차보행자1101908.01655497.0128.61525234.889099N
530620162016-03-27 15주일10000강원원주시차량단독공작물충돌공작물충돌안전운전 의무 불이행단일로기타단일로승용차없음1043154.01921946.0127.98689637.295463N
102720152015-04-01 19야수10000전남목포시차대사람횡단중횡단중안전운전 의무 불이행단일로기타단일로승용차보행자896819.01646509.0126.37192534.807935N
1854120192019-09-24 02야화10000경남창원시(통합)차량단독공작물충돌공작물충돌안전운전 의무 불이행기타기타승용차없음1093238.01689730.0128.5242335.198575N
712720162016-09-09 20야금10000부산사하구차대사람길가장자리구역통행중길가장자리구역통행중안전운전 의무 불이행단일로기타단일로승용차보행자1131867.81680135.7128.94694735.107757Y
907620172017-02-16 23야목10000서울중랑구차대차기타기타안전운전 의무 불이행교차로교차로내승용차승용차962916.71952680.4127.08005237.572751N