Overview

Dataset statistics

Number of variables26
Number of observations400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.4 KiB
Average record size in memory231.3 B

Variable types

Categorical7
Numeric19

Dataset

Description산업중분류별발생형태별현황분석데이터(산업중분류별발생형태별사고재해자수) 산업안전보건에 대한 통계 자료로써 발생형태별, 산업중분류별, 사고재해자수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15084677/fileData.do

Alerts

사고재해_빠짐익사 is highly imbalanced (82.4%)Imbalance
사고재해_산소결핍 is highly imbalanced (88.2%)Imbalance
사고재해_기타 is highly imbalanced (76.6%)Imbalance
사고재해_분류불능 is highly imbalanced (67.6%)Imbalance
사고재해_떨어짐 has 112 (28.0%) zerosZeros
사고재해_넘어짐 has 82 (20.5%) zerosZeros
사고재해_부딪힘 has 105 (26.2%) zerosZeros
사고재해_맞음 has 135 (33.8%) zerosZeros
사고재해_무너짐 has 272 (68.0%) zerosZeros
사고재해_끼임 has 100 (25.0%) zerosZeros
사고재해_절단베임찔림 has 129 (32.2%) zerosZeros
사고재해_감전 has 271 (67.8%) zerosZeros
사고재해_폭발파열 has 301 (75.2%) zerosZeros
사고재해_화재 has 278 (69.5%) zerosZeros
사고재해_깔림뒤집힘 has 168 (42.0%) zerosZeros
사고재해_이상온도물체접촉 has 175 (43.8%) zerosZeros
사고재해_불균형및무리한동작 has 115 (28.7%) zerosZeros
사고재해_화학물질누출접촉 has 266 (66.5%) zerosZeros
사고재해_사업장내교통사고 has 370 (92.5%) zerosZeros
사고재해_사업장외교통사고 has 158 (39.5%) zerosZeros
사고재해_체육행사 has 187 (46.8%) zerosZeros
사고재해_폭력행위 has 255 (63.7%) zerosZeros
사고재해_동물상해 has 283 (70.8%) zerosZeros

Reproduction

Analysis started2023-12-12 16:44:26.439614
Analysis finished2023-12-12 16:44:26.696494
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대업종
Categorical

Distinct10
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
제조업
120 
기타의사업
90 
운수·창고·통신업
40 
광 업
30 
금융및보험업
20 
Other values (5)
100 

Length

Max length13
Median length9
Mean length4.925
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 120
30.0%
기타의사업 90
22.5%
운수·창고·통신업 40
 
10.0%
광 업 30
 
7.5%
금융및보험업 20
 
5.0%
전기·가스·증기·수도사업 20
 
5.0%
건설업 20
 
5.0%
임 업 20
 
5.0%
어 업 20
 
5.0%
농 업 20
 
5.0%

Length

2023-12-13T01:44:26.779262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:26.924641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 120
24.5%
기타의사업 90
18.4%
업 90
18.4%
운수·창고·통신업 40
 
8.2%
광 30
 
6.1%
금융및보험업 20
 
4.1%
전기·가스·증기·수도사업 20
 
4.1%
건설업 20
 
4.1%
임 20
 
4.1%
어 20
 
4.1%

중업종
Categorical

Distinct40
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
금융및보험업 소계
 
10
금융및보험업
 
10
출판·인쇄·제본업
 
10
광 업 소계
 
10
석탄광업및채석업
 
10
Other values (35)
350 

Length

Max length19
Median length13
Mean length9.15
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금융및보험업 소계
2nd row금융및보험업 소계
3rd row금융및보험업 소계
4th row금융및보험업 소계
5th row금융및보험업 소계

Common Values

ValueCountFrequency (%)
금융및보험업 소계 10
 
2.5%
금융및보험업 10
 
2.5%
출판·인쇄·제본업 10
 
2.5%
광 업 소계 10
 
2.5%
석탄광업및채석업 10
 
2.5%
석회석·금속·비금속광업및기타광업 10
 
2.5%
제조업 소계 10
 
2.5%
식료품제조업 10
 
2.5%
섬유및섬유제품제조업 10
 
2.5%
목재및종이제품제조업 10
 
2.5%
Other values (30) 300
75.0%

Length

2023-12-13T01:44:27.092485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소계 100
 
18.5%
업 40
 
7.4%
금융및보험업 20
 
3.7%
전기·가스·증기·수도사업 20
 
3.7%
건설업 20
 
3.7%
석탄광업및채석업 10
 
1.9%
국가및지방자치단체의사업 10
 
1.9%
통신업 10
 
1.9%
임 10
 
1.9%
임업 10
 
1.9%
Other values (29) 290
53.7%

규모
Categorical

Distinct10
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
5인 미만
40 
5인 ~ 9인
40 
10인 ~ 19인
40 
20인 ~ 29인
40 
30인 ~ 49인
40 
Other values (5)
200 

Length

Max length11
Median length10
Mean length9
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5인 미만
2nd row5인 ~ 9인
3rd row10인 ~ 19인
4th row20인 ~ 29인
5th row30인 ~ 49인

Common Values

ValueCountFrequency (%)
5인 미만 40
10.0%
5인 ~ 9인 40
10.0%
10인 ~ 19인 40
10.0%
20인 ~ 29인 40
10.0%
30인 ~ 49인 40
10.0%
50인 ~ 99인 40
10.0%
100인 ~ 299인 40
10.0%
300인 ~ 499인 40
10.0%
500인 ~ 999인 40
10.0%
1,000인 이상 40
10.0%

Length

2023-12-13T01:44:27.232433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:27.367610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
320
28.6%
5인 80
 
7.1%
99인 40
 
3.6%
1,000인 40
 
3.6%
999인 40
 
3.6%
500인 40
 
3.6%
499인 40
 
3.6%
300인 40
 
3.6%
299인 40
 
3.6%
100인 40
 
3.6%
Other values (10) 400
35.7%

사고재해_떨어짐
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.935
Minimum0
Maximum3649
Zeros112
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:27.561888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q330
95-th percentile362.55
Maximum3649
Range3649
Interquartile range (IQR)30

Descriptive statistics

Standard deviation294.50672
Coefficient of variation (CV)4.0940671
Kurtosis109.36898
Mean71.935
Median Absolute Deviation (MAD)5
Skewness9.5775822
Sum28774
Variance86734.206
MonotonicityNot monotonic
2023-12-13T01:44:27.712510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 112
28.0%
1 33
 
8.2%
2 21
 
5.2%
5 16
 
4.0%
4 16
 
4.0%
3 12
 
3.0%
7 9
 
2.2%
9 7
 
1.8%
22 7
 
1.8%
6 7
 
1.8%
Other values (90) 160
40.0%
ValueCountFrequency (%)
0 112
28.0%
1 33
 
8.2%
2 21
 
5.2%
3 12
 
3.0%
4 16
 
4.0%
5 16
 
4.0%
6 7
 
1.8%
7 9
 
2.2%
8 5
 
1.2%
9 7
 
1.8%
ValueCountFrequency (%)
3649 2
0.5%
1166 1
0.2%
1037 2
0.5%
940 2
0.5%
663 1
0.2%
589 1
0.2%
554 2
0.5%
543 1
0.2%
502 2
0.5%
492 1
0.2%

사고재해_넘어짐
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.42
Minimum0
Maximum3826
Zeros82
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:27.873515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13.5
Q379.5
95-th percentile637.15
Maximum3826
Range3826
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation340.39505
Coefficient of variation (CV)2.7140412
Kurtosis45.290222
Mean125.42
Median Absolute Deviation (MAD)13.5
Skewness5.7829647
Sum50168
Variance115868.79
MonotonicityNot monotonic
2023-12-13T01:44:28.032740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
20.5%
1 32
 
8.0%
3 16
 
4.0%
5 11
 
2.8%
4 11
 
2.8%
2 11
 
2.8%
6 6
 
1.5%
10 6
 
1.5%
15 5
 
1.2%
18 5
 
1.2%
Other values (131) 215
53.8%
ValueCountFrequency (%)
0 82
20.5%
1 32
 
8.0%
2 11
 
2.8%
3 16
 
4.0%
4 11
 
2.8%
5 11
 
2.8%
6 6
 
1.5%
7 5
 
1.2%
8 5
 
1.2%
9 5
 
1.2%
ValueCountFrequency (%)
3826 1
0.2%
2187 1
0.2%
2152 1
0.2%
2089 1
0.2%
1457 2
0.5%
1435 1
0.2%
1380 1
0.2%
1328 1
0.2%
1293 1
0.2%
893 1
0.2%

사고재해_부딪힘
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.415
Minimum0
Maximum885
Zeros105
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:28.173476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q332
95-th percentile277.7
Maximum885
Range885
Interquartile range (IQR)32

Descriptive statistics

Standard deviation109.67993
Coefficient of variation (CV)2.3630277
Kurtosis24.769155
Mean46.415
Median Absolute Deviation (MAD)5
Skewness4.3795
Sum18566
Variance12029.687
MonotonicityNot monotonic
2023-12-13T01:44:28.606779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
26.2%
1 43
 
10.8%
2 19
 
4.8%
3 17
 
4.2%
6 13
 
3.2%
4 10
 
2.5%
5 10
 
2.5%
10 9
 
2.2%
13 9
 
2.2%
19 8
 
2.0%
Other values (91) 157
39.2%
ValueCountFrequency (%)
0 105
26.2%
1 43
10.8%
2 19
 
4.8%
3 17
 
4.2%
4 10
 
2.5%
5 10
 
2.5%
6 13
 
3.2%
7 7
 
1.8%
8 3
 
0.8%
9 3
 
0.8%
ValueCountFrequency (%)
885 2
0.5%
831 1
0.2%
453 2
0.5%
446 1
0.2%
444 1
0.2%
387 1
0.2%
368 2
0.5%
354 1
0.2%
347 1
0.2%
346 2
0.5%

사고재해_맞음
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.26
Minimum0
Maximum1119
Zeros135
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:28.728944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323
95-th percentile250
Maximum1119
Range1119
Interquartile range (IQR)23

Descriptive statistics

Standard deviation118.07114
Coefficient of variation (CV)2.861637
Kurtosis38.678623
Mean41.26
Median Absolute Deviation (MAD)4
Skewness5.4682877
Sum16504
Variance13940.794
MonotonicityNot monotonic
2023-12-13T01:44:28.858677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
33.8%
1 29
 
7.2%
2 28
 
7.0%
4 14
 
3.5%
5 13
 
3.2%
8 9
 
2.2%
11 7
 
1.8%
3 7
 
1.8%
10 7
 
1.8%
18 7
 
1.8%
Other values (70) 144
36.0%
ValueCountFrequency (%)
0 135
33.8%
1 29
 
7.2%
2 28
 
7.0%
3 7
 
1.8%
4 14
 
3.5%
5 13
 
3.2%
6 4
 
1.0%
7 4
 
1.0%
8 9
 
2.2%
9 6
 
1.5%
ValueCountFrequency (%)
1119 2
0.5%
656 1
0.2%
625 1
0.2%
478 2
0.5%
419 2
0.5%
416 1
0.2%
398 2
0.5%
386 1
0.2%
379 1
0.2%
360 1
0.2%

사고재해_무너짐
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.33
Minimum0
Maximum118
Zeros272
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:28.968863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile14.05
Maximum118
Range118
Interquartile range (IQR)1

Descriptive statistics

Standard deviation9.5844015
Coefficient of variation (CV)4.113477
Kurtosis106.32573
Mean2.33
Median Absolute Deviation (MAD)0
Skewness9.3792423
Sum932
Variance91.860752
MonotonicityNot monotonic
2023-12-13T01:44:29.072082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 272
68.0%
1 40
 
10.0%
2 31
 
7.8%
3 14
 
3.5%
6 6
 
1.5%
4 5
 
1.2%
5 4
 
1.0%
19 3
 
0.8%
9 3
 
0.8%
7 2
 
0.5%
Other values (12) 20
 
5.0%
ValueCountFrequency (%)
0 272
68.0%
1 40
 
10.0%
2 31
 
7.8%
3 14
 
3.5%
4 5
 
1.2%
5 4
 
1.0%
6 6
 
1.5%
7 2
 
0.5%
8 1
 
0.2%
9 3
 
0.8%
ValueCountFrequency (%)
118 2
0.5%
34 2
0.5%
30 2
0.5%
24 2
0.5%
23 1
 
0.2%
21 2
0.5%
20 2
0.5%
19 3
0.8%
16 2
0.5%
15 2
0.5%

사고재해_끼임
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.84
Minimum0
Maximum1586
Zeros100
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:29.196294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median7.5
Q351
95-th percentile323.3
Maximum1586
Range1586
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation174.46827
Coefficient of variation (CV)2.6102374
Kurtosis27.953539
Mean66.84
Median Absolute Deviation (MAD)7.5
Skewness4.8171606
Sum26736
Variance30439.177
MonotonicityNot monotonic
2023-12-13T01:44:29.332503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
25.0%
1 32
 
8.0%
3 17
 
4.2%
2 17
 
4.2%
6 11
 
2.8%
4 10
 
2.5%
11 9
 
2.2%
14 8
 
2.0%
5 7
 
1.8%
8 6
 
1.5%
Other values (102) 183
45.8%
ValueCountFrequency (%)
0 100
25.0%
1 32
 
8.0%
2 17
 
4.2%
3 17
 
4.2%
4 10
 
2.5%
5 7
 
1.8%
6 11
 
2.8%
7 6
 
1.5%
8 6
 
1.5%
9 2
 
0.5%
ValueCountFrequency (%)
1586 1
0.2%
1236 1
0.2%
1114 1
0.2%
1077 1
0.2%
864 1
0.2%
788 2
0.5%
728 1
0.2%
706 1
0.2%
628 1
0.2%
626 1
0.2%

사고재해_절단베임찔림
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.57
Minimum0
Maximum2039
Zeros129
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:29.517309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile191.45
Maximum2039
Range2039
Interquartile range (IQR)24

Descriptive statistics

Standard deviation192.89574
Coefficient of variation (CV)3.6693122
Kurtosis57.216813
Mean52.57
Median Absolute Deviation (MAD)3
Skewness7.0575547
Sum21028
Variance37208.767
MonotonicityNot monotonic
2023-12-13T01:44:29.685849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
32.2%
1 39
 
9.8%
2 20
 
5.0%
3 17
 
4.2%
5 15
 
3.8%
10 12
 
3.0%
6 11
 
2.8%
4 9
 
2.2%
17 6
 
1.5%
7 6
 
1.5%
Other values (80) 136
34.0%
ValueCountFrequency (%)
0 129
32.2%
1 39
 
9.8%
2 20
 
5.0%
3 17
 
4.2%
4 9
 
2.2%
5 15
 
3.8%
6 11
 
2.8%
7 6
 
1.5%
8 3
 
0.8%
9 6
 
1.5%
ValueCountFrequency (%)
2039 1
0.2%
1621 1
0.2%
1550 2
0.5%
872 1
0.2%
760 1
0.2%
678 1
0.2%
639 1
0.2%
469 1
0.2%
451 1
0.2%
440 1
0.2%

사고재해_감전
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum0
Maximum67
Zeros271
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:29.831507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7.1
Maximum67
Range67
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.6860203
Coefficient of variation (CV)3.5537627
Kurtosis90.241833
Mean1.6
Median Absolute Deviation (MAD)0
Skewness8.5698908
Sum640
Variance32.330827
MonotonicityNot monotonic
2023-12-13T01:44:29.966311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 271
67.8%
1 51
 
12.8%
2 21
 
5.2%
3 13
 
3.2%
4 8
 
2.0%
7 8
 
2.0%
9 6
 
1.5%
6 5
 
1.2%
13 3
 
0.8%
5 3
 
0.8%
Other values (8) 11
 
2.8%
ValueCountFrequency (%)
0 271
67.8%
1 51
 
12.8%
2 21
 
5.2%
3 13
 
3.2%
4 8
 
2.0%
5 3
 
0.8%
6 5
 
1.2%
7 8
 
2.0%
9 6
 
1.5%
10 1
 
0.2%
ValueCountFrequency (%)
67 2
 
0.5%
36 1
 
0.2%
18 2
 
0.5%
15 1
 
0.2%
14 2
 
0.5%
13 3
0.8%
12 1
 
0.2%
11 1
 
0.2%
10 1
 
0.2%
9 6
1.5%

사고재해_폭발파열
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.345
Minimum0
Maximum37
Zeros301
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:30.090739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.1
Maximum37
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3223468
Coefficient of variation (CV)3.2136407
Kurtosis34.411649
Mean1.345
Median Absolute Deviation (MAD)0
Skewness5.389699
Sum538
Variance18.682682
MonotonicityNot monotonic
2023-12-13T01:44:30.221015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 301
75.2%
1 36
 
9.0%
3 12
 
3.0%
2 9
 
2.2%
4 8
 
2.0%
6 8
 
2.0%
5 6
 
1.5%
9 5
 
1.2%
37 2
 
0.5%
8 2
 
0.5%
Other values (10) 11
 
2.8%
ValueCountFrequency (%)
0 301
75.2%
1 36
 
9.0%
2 9
 
2.2%
3 12
 
3.0%
4 8
 
2.0%
5 6
 
1.5%
6 8
 
2.0%
8 2
 
0.5%
9 5
 
1.2%
11 1
 
0.2%
ValueCountFrequency (%)
37 2
0.5%
32 1
0.2%
27 1
0.2%
22 1
0.2%
20 1
0.2%
19 1
0.2%
16 1
0.2%
15 1
0.2%
14 2
0.5%
13 1
0.2%

사고재해_화재
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.18
Minimum0
Maximum33
Zeros278
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:30.334144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5183158
Coefficient of variation (CV)2.9816236
Kurtosis35.3082
Mean1.18
Median Absolute Deviation (MAD)0
Skewness5.4360558
Sum472
Variance12.378546
MonotonicityNot monotonic
2023-12-13T01:44:30.430219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 278
69.5%
1 54
 
13.5%
2 21
 
5.2%
3 12
 
3.0%
4 8
 
2.0%
5 6
 
1.5%
6 5
 
1.2%
8 4
 
1.0%
14 2
 
0.5%
17 2
 
0.5%
Other values (7) 8
 
2.0%
ValueCountFrequency (%)
0 278
69.5%
1 54
 
13.5%
2 21
 
5.2%
3 12
 
3.0%
4 8
 
2.0%
5 6
 
1.5%
6 5
 
1.2%
7 1
 
0.2%
8 4
 
1.0%
9 1
 
0.2%
ValueCountFrequency (%)
33 1
 
0.2%
28 1
 
0.2%
23 2
0.5%
19 1
 
0.2%
17 2
0.5%
14 2
0.5%
12 1
 
0.2%
9 1
 
0.2%
8 4
1.0%
7 1
 
0.2%

사고재해_깔림뒤집힘
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.005
Minimum0
Maximum317
Zeros168
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:30.554263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile83.6
Maximum317
Range317
Interquartile range (IQR)9

Descriptive statistics

Standard deviation35.429339
Coefficient of variation (CV)2.5297636
Kurtosis29.729728
Mean14.005
Median Absolute Deviation (MAD)1
Skewness4.7047974
Sum5602
Variance1255.2381
MonotonicityNot monotonic
2023-12-13T01:44:30.692686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 168
42.0%
1 45
 
11.2%
2 29
 
7.2%
3 16
 
4.0%
9 13
 
3.2%
4 9
 
2.2%
10 9
 
2.2%
7 8
 
2.0%
8 6
 
1.5%
5 6
 
1.5%
Other values (45) 91
22.8%
ValueCountFrequency (%)
0 168
42.0%
1 45
 
11.2%
2 29
 
7.2%
3 16
 
4.0%
4 9
 
2.2%
5 6
 
1.5%
6 2
 
0.5%
7 8
 
2.0%
8 6
 
1.5%
9 13
 
3.2%
ValueCountFrequency (%)
317 2
0.5%
197 1
 
0.2%
171 1
 
0.2%
129 2
0.5%
118 1
 
0.2%
117 2
0.5%
113 2
0.5%
112 4
1.0%
109 1
 
0.2%
103 1
 
0.2%

사고재해_이상온도물체접촉
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.405
Minimum0
Maximum1345
Zeros175
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:30.847340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile70.25
Maximum1345
Range1345
Interquartile range (IQR)7

Descriptive statistics

Standard deviation104.92898
Coefficient of variation (CV)4.9020781
Kurtosis106.69613
Mean21.405
Median Absolute Deviation (MAD)1
Skewness9.6479957
Sum8562
Variance11010.091
MonotonicityNot monotonic
2023-12-13T01:44:31.000427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
43.8%
1 45
 
11.2%
2 35
 
8.8%
3 17
 
4.2%
4 12
 
3.0%
5 9
 
2.2%
10 7
 
1.8%
6 6
 
1.5%
17 5
 
1.2%
12 5
 
1.2%
Other values (53) 84
21.0%
ValueCountFrequency (%)
0 175
43.8%
1 45
 
11.2%
2 35
 
8.8%
3 17
 
4.2%
4 12
 
3.0%
5 9
 
2.2%
6 6
 
1.5%
7 4
 
1.0%
8 2
 
0.5%
9 5
 
1.2%
ValueCountFrequency (%)
1345 1
0.2%
1202 1
0.2%
577 1
0.2%
502 1
0.2%
478 1
0.2%
343 1
0.2%
313 1
0.2%
285 1
0.2%
146 1
0.2%
128 1
0.2%

사고재해_빠짐익사
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
380 
1
 
12
2
 
6
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 380
95.0%
1 12
 
3.0%
2 6
 
1.5%
3 2
 
0.5%

Length

2023-12-13T01:44:31.143053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:31.238234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 380
95.0%
1 12
 
3.0%
2 6
 
1.5%
3 2
 
0.5%

사고재해_불균형및무리한동작
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.935
Minimum0
Maximum853
Zeros115
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:31.361602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.25
95-th percentile166.15
Maximum853
Range853
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation88.777161
Coefficient of variation (CV)2.4704928
Kurtosis30.309815
Mean35.935
Median Absolute Deviation (MAD)4
Skewness4.8692367
Sum14374
Variance7881.3842
MonotonicityNot monotonic
2023-12-13T01:44:31.512264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115
28.7%
1 39
 
9.8%
2 33
 
8.2%
5 12
 
3.0%
3 12
 
3.0%
7 11
 
2.8%
4 9
 
2.2%
9 9
 
2.2%
16 8
 
2.0%
11 7
 
1.8%
Other values (88) 145
36.2%
ValueCountFrequency (%)
0 115
28.7%
1 39
 
9.8%
2 33
 
8.2%
3 12
 
3.0%
4 9
 
2.2%
5 12
 
3.0%
6 5
 
1.2%
7 11
 
2.8%
8 3
 
0.8%
9 9
 
2.2%
ValueCountFrequency (%)
853 1
0.2%
652 1
0.2%
512 1
0.2%
485 1
0.2%
479 1
0.2%
474 1
0.2%
362 1
0.2%
345 2
0.5%
342 1
0.2%
320 1
0.2%

사고재해_화학물질누출접촉
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.785
Minimum0
Maximum32
Zeros266
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:31.619425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile10.05
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.2871581
Coefficient of variation (CV)2.4017692
Kurtosis16.618462
Mean1.785
Median Absolute Deviation (MAD)0
Skewness3.750764
Sum714
Variance18.379724
MonotonicityNot monotonic
2023-12-13T01:44:31.725555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 266
66.5%
1 32
 
8.0%
2 28
 
7.0%
3 19
 
4.8%
6 9
 
2.2%
4 7
 
1.8%
5 6
 
1.5%
7 6
 
1.5%
9 4
 
1.0%
17 3
 
0.8%
Other values (12) 20
 
5.0%
ValueCountFrequency (%)
0 266
66.5%
1 32
 
8.0%
2 28
 
7.0%
3 19
 
4.8%
4 7
 
1.8%
5 6
 
1.5%
6 9
 
2.2%
7 6
 
1.5%
8 1
 
0.2%
9 4
 
1.0%
ValueCountFrequency (%)
32 1
 
0.2%
28 2
0.5%
22 1
 
0.2%
20 1
 
0.2%
19 2
0.5%
17 3
0.8%
16 1
 
0.2%
14 3
0.8%
13 3
0.8%
12 2
0.5%

사고재해_산소결핍
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
390 
1
 
8
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 390
97.5%
1 8
 
2.0%
3 2
 
0.5%

Length

2023-12-13T01:44:31.831425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:31.944561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 390
97.5%
1 8
 
2.0%
3 2
 
0.5%

사고재해_사업장내교통사고
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.275
Minimum0
Maximum38
Zeros370
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:32.030650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.343738
Coefficient of variation (CV)8.5226836
Kurtosis196.07968
Mean0.275
Median Absolute Deviation (MAD)0
Skewness13.445266
Sum110
Variance5.4931078
MonotonicityNot monotonic
2023-12-13T01:44:32.145964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 370
92.5%
1 20
 
5.0%
2 5
 
1.2%
3 2
 
0.5%
38 1
 
0.2%
24 1
 
0.2%
12 1
 
0.2%
ValueCountFrequency (%)
0 370
92.5%
1 20
 
5.0%
2 5
 
1.2%
3 2
 
0.5%
12 1
 
0.2%
24 1
 
0.2%
38 1
 
0.2%
ValueCountFrequency (%)
38 1
 
0.2%
24 1
 
0.2%
12 1
 
0.2%
3 2
 
0.5%
2 5
 
1.2%
1 20
 
5.0%
0 370
92.5%

사고재해_사업장외교통사고
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.48
Minimum0
Maximum2426
Zeros158
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:32.263264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile162.4
Maximum2426
Range2426
Interquartile range (IQR)9

Descriptive statistics

Standard deviation216.67897
Coefficient of variation (CV)5.4883223
Kurtosis88.081321
Mean39.48
Median Absolute Deviation (MAD)1
Skewness9.0772084
Sum15792
Variance46949.774
MonotonicityNot monotonic
2023-12-13T01:44:32.403499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
39.5%
1 50
 
12.5%
2 29
 
7.2%
5 20
 
5.0%
3 15
 
3.8%
4 12
 
3.0%
10 10
 
2.5%
7 6
 
1.5%
19 5
 
1.2%
6 5
 
1.2%
Other values (56) 90
22.5%
ValueCountFrequency (%)
0 158
39.5%
1 50
 
12.5%
2 29
 
7.2%
3 15
 
3.8%
4 12
 
3.0%
5 20
 
5.0%
6 5
 
1.2%
7 6
 
1.5%
8 4
 
1.0%
9 3
 
0.8%
ValueCountFrequency (%)
2426 1
0.2%
2356 1
0.2%
1766 1
0.2%
1751 1
0.2%
646 1
0.2%
509 1
0.2%
386 1
0.2%
374 1
0.2%
283 1
0.2%
268 1
0.2%

사고재해_체육행사
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.09
Minimum0
Maximum393
Zeros187
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:32.537335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile30.05
Maximum393
Range393
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.219194
Coefficient of variation (CV)4.1211839
Kurtosis119.26849
Mean7.09
Median Absolute Deviation (MAD)1
Skewness10.058422
Sum2836
Variance853.7613
MonotonicityNot monotonic
2023-12-13T01:44:32.694807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 187
46.8%
1 58
 
14.5%
2 35
 
8.8%
3 17
 
4.2%
4 15
 
3.8%
6 8
 
2.0%
7 7
 
1.8%
8 7
 
1.8%
5 7
 
1.8%
10 5
 
1.2%
Other values (29) 54
 
13.5%
ValueCountFrequency (%)
0 187
46.8%
1 58
 
14.5%
2 35
 
8.8%
3 17
 
4.2%
4 15
 
3.8%
5 7
 
1.8%
6 8
 
2.0%
7 7
 
1.8%
8 7
 
1.8%
9 2
 
0.5%
ValueCountFrequency (%)
393 1
0.2%
341 1
0.2%
116 1
0.2%
105 1
0.2%
99 1
0.2%
81 2
0.5%
74 1
0.2%
64 1
0.2%
60 2
0.5%
56 1
0.2%

사고재해_폭력행위
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.415
Minimum0
Maximum63
Zeros255
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:32.874130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13.05
Maximum63
Range63
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.2158121
Coefficient of variation (CV)2.9879139
Kurtosis29.442564
Mean2.415
Median Absolute Deviation (MAD)0
Skewness5.0657797
Sum966
Variance52.067945
MonotonicityNot monotonic
2023-12-13T01:44:33.006272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 255
63.7%
1 47
 
11.8%
2 25
 
6.2%
4 17
 
4.2%
3 11
 
2.8%
6 7
 
1.8%
5 6
 
1.5%
7 4
 
1.0%
14 3
 
0.8%
13 2
 
0.5%
Other values (19) 23
 
5.8%
ValueCountFrequency (%)
0 255
63.7%
1 47
 
11.8%
2 25
 
6.2%
3 11
 
2.8%
4 17
 
4.2%
5 6
 
1.5%
6 7
 
1.8%
7 4
 
1.0%
8 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
63 1
0.2%
50 1
0.2%
48 1
0.2%
47 1
0.2%
45 1
0.2%
36 1
0.2%
33 1
0.2%
31 2
0.5%
24 1
0.2%
23 1
0.2%

사고재해_동물상해
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.37
Minimum0
Maximum83
Zeros283
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-13T01:44:33.228039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum83
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.8323985
Coefficient of variation (CV)3.3048095
Kurtosis40.025654
Mean2.37
Median Absolute Deviation (MAD)0
Skewness5.6492
Sum948
Variance61.346466
MonotonicityNot monotonic
2023-12-13T01:44:33.489442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 283
70.8%
1 34
 
8.5%
2 17
 
4.2%
3 13
 
3.2%
4 8
 
2.0%
6 7
 
1.8%
7 6
 
1.5%
5 5
 
1.2%
23 4
 
1.0%
14 3
 
0.8%
Other values (15) 20
 
5.0%
ValueCountFrequency (%)
0 283
70.8%
1 34
 
8.5%
2 17
 
4.2%
3 13
 
3.2%
4 8
 
2.0%
5 5
 
1.2%
6 7
 
1.8%
7 6
 
1.5%
8 2
 
0.5%
10 1
 
0.2%
ValueCountFrequency (%)
83 1
0.2%
52 1
0.2%
46 1
0.2%
45 1
0.2%
42 1
0.2%
39 1
0.2%
34 1
0.2%
33 1
0.2%
32 1
0.2%
25 2
0.5%

사고재해_기타
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
365 
1
 
24
2
 
6
3
 
4
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
91.2%
1 24
 
6.0%
2 6
 
1.5%
3 4
 
1.0%
6 1
 
0.2%

Length

2023-12-13T01:44:34.293867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:34.485812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
91.2%
1 24
 
6.0%
2 6
 
1.5%
3 4
 
1.0%
6 1
 
0.2%

사고재해_분류불능
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
355 
1
 
30
3
 
8
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 355
88.8%
1 30
 
7.5%
3 8
 
2.0%
2 7
 
1.8%

Length

2023-12-13T01:44:34.647846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:44:34.820531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 355
88.8%
1 30
 
7.5%
3 8
 
2.0%
2 7
 
1.8%

Sample

대업종중업종규모사고재해_떨어짐사고재해_넘어짐사고재해_부딪힘사고재해_맞음사고재해_무너짐사고재해_끼임사고재해_절단베임찔림사고재해_감전사고재해_폭발파열사고재해_화재사고재해_깔림뒤집힘사고재해_이상온도물체접촉사고재해_빠짐익사사고재해_불균형및무리한동작사고재해_화학물질누출접촉사고재해_산소결핍사고재해_사업장내교통사고사고재해_사업장외교통사고사고재해_체육행사사고재해_폭력행위사고재해_동물상해사고재해_기타사고재해_분류불능
0금융및보험업금융및보험업 소계5인 미만525100310000007000570100
1금융및보험업금융및보험업 소계5인 ~ 9인218120040000101000530000
2금융및보험업금융및보험업 소계10인 ~ 19인2242005710001010001045100
3금융및보험업금융및보험업 소계20인 ~ 29인733420150002102000321200
4금융및보험업금융및보험업 소계30인 ~ 49인43450076000010600015122700
5금융및보험업금융및보험업 소계50인 ~ 99인5316108900111051005601300
6금융및보험업금융및보험업 소계100인 ~ 299인28100210001102000250200
7금융및보험업금융및보험업 소계300인 ~ 499인02100000000003000120000
8금융및보험업금융및보험업 소계500인 ~ 999인01000100000000000220000
9금융및보험업금융및보험업 소계1,000인 이상07000010000000000210000
대업종중업종규모사고재해_떨어짐사고재해_넘어짐사고재해_부딪힘사고재해_맞음사고재해_무너짐사고재해_끼임사고재해_절단베임찔림사고재해_감전사고재해_폭발파열사고재해_화재사고재해_깔림뒤집힘사고재해_이상온도물체접촉사고재해_빠짐익사사고재해_불균형및무리한동작사고재해_화학물질누출접촉사고재해_산소결핍사고재해_사업장내교통사고사고재해_사업장외교통사고사고재해_체육행사사고재해_폭력행위사고재해_동물상해사고재해_기타사고재해_분류불능
390기타의사업주한미군5인 미만01000000000000000000000
391기타의사업주한미군5인 ~ 9인00000000000000000000000
392기타의사업주한미군10인 ~ 19인00000000000000000000000
393기타의사업주한미군20인 ~ 29인00000000000000000000000
394기타의사업주한미군30인 ~ 49인00000000000000000000000
395기타의사업주한미군50인 ~ 99인00000110000000000000000
396기타의사업주한미군100인 ~ 299인15010120000201000000000
397기타의사업주한미군300인 ~ 499인10300000000000000000000
398기타의사업주한미군500인 ~ 999인01000000000000000100000
399기타의사업주한미군1,000인 이상05320520000101000310000