Overview

Dataset statistics

Number of variables27
Number of observations440
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory103.3 KiB
Average record size in memory240.3 B

Variable types

Categorical14
Numeric13

Dataset

Description산업사망현황분석데이터(산업중분류별발생형태별사망자수) 산업안전보건에 대한 통계 자료로써 발생형태별, 산업종류별, 규모별, 사망자수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15064494/fileData.do

Alerts

사망_체육행사 has constant value ""Constant
사망_폭력행위 has constant value ""Constant
사망_기타 has constant value ""Constant
사망_분류불능 has constant value ""Constant
사망_절단베임찔림 is highly imbalanced (92.6%)Imbalance
사망_이상온도물체접촉 is highly imbalanced (92.0%)Imbalance
사망_불균형및무리한동작 is highly imbalanced (92.5%)Imbalance
사망_화학물질누출접촉 is highly imbalanced (76.0%)Imbalance
사망_산소결핍 is highly imbalanced (92.6%)Imbalance
사망_사업장내교통사고 is highly imbalanced (86.9%)Imbalance
사망_동물상해 is highly imbalanced (87.9%)Imbalance
사망_떨어짐 has 319 (72.5%) zerosZeros
사망_넘어짐 has 392 (89.1%) zerosZeros
사망_부딪힘 has 349 (79.3%) zerosZeros
사망_맞음 has 372 (84.5%) zerosZeros
사망_무너짐 has 390 (88.6%) zerosZeros
사망_끼임 has 334 (75.9%) zerosZeros
사망_감전 has 407 (92.5%) zerosZeros
사망_폭발파열 has 399 (90.7%) zerosZeros
사망_화재 has 397 (90.2%) zerosZeros
사망_깔림뒤집힘 has 372 (84.5%) zerosZeros
사망_빠짐익사 has 408 (92.7%) zerosZeros
사망_사업장외교통사고 has 406 (92.3%) zerosZeros
사망_업무상질병 has 150 (34.1%) zerosZeros

Reproduction

Analysis started2023-12-12 17:20:11.500724
Analysis finished2023-12-12 17:20:11.722500
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대업종
Categorical

Distinct10
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
제조업
132 
기타의사업
99 
운수·창고·통신업
44 
광 업
33 
금융및보험업
22 
Other values (5)
110 

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 132
30.0%
기타의사업 99
22.5%
운수·창고·통신업 44
 
10.0%
광 업 33
 
7.5%
금융및보험업 22
 
5.0%
전기·가스·증기·수도사업 22
 
5.0%
건설업 22
 
5.0%
임 업 22
 
5.0%
어 업 22
 
5.0%
농 업 22
 
5.0%

Length

2023-12-13T02:20:12.077328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:12.210611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 132
24.5%
기타의사업 99
18.4%
업 99
18.4%
운수·창고·통신업 44
 
8.2%
광 33
 
6.1%
금융및보험업 22
 
4.1%
전기·가스·증기·수도사업 22
 
4.1%
건설업 22
 
4.1%
임 22
 
4.1%
어 22
 
4.1%

중업종
Categorical

Distinct40
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
금융및보험업 소계
 
11
금융및보험업
 
11
출판·인쇄·제본업
 
11
광 업 소계
 
11
석탄광업및채석업
 
11
Other values (35)
385 

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 11
 
2.5%
금융및보험업 11
 
2.5%
출판·인쇄·제본업 11
 
2.5%
광 업 소계 11
 
2.5%
석탄광업및채석업 11
 
2.5%
석회석·금속·비금속광업및기타광업 11
 
2.5%
제조업 소계 11
 
2.5%
식료품제조업 11
 
2.5%
섬유및섬유제품제조업 11
 
2.5%
목재및종이제품제조업 11
 
2.5%
Other values (30) 330
75.0%

Length

2023-12-13T02:20:12.382611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소계 110
 
18.5%
업 44
 
7.4%
금융및보험업 22
 
3.7%
전기·가스·증기·수도사업 22
 
3.7%
건설업 22
 
3.7%
석탄광업및채석업 11
 
1.9%
국가및지방자치단체의사업 11
 
1.9%
통신업 11
 
1.9%
임 11
 
1.9%
임업 11
 
1.9%
Other values (29) 319
53.7%

규모
Categorical

Distinct11
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
계
40 
5인 미만
40 
5인 ~ 9인
40 
10인 ~ 19인
40 
20인 ~ 29인
40 
Other values (6)
240 

Length

Max length11
Median length9
Mean length8.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
계 40
9.1%
5인 미만 40
9.1%
5인 ~ 9인 40
9.1%
10인 ~ 19인 40
9.1%
20인 ~ 29인 40
9.1%
30인 ~ 49인 40
9.1%
50인 ~ 99인 40
9.1%
100인 ~ 299인 40
9.1%
300인 ~ 499인 40
9.1%
500인 ~ 999인 40
9.1%

Length

2023-12-13T02:20:12.528372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
320
27.6%
5인 80
 
6.9%
계 40
 
3.4%
99인 40
 
3.4%
1,000인 40
 
3.4%
999인 40
 
3.4%
500인 40
 
3.4%
499인 40
 
3.4%
300인 40
 
3.4%
299인 40
 
3.4%
Other values (11) 440
37.9%

사망_떨어짐
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9272727
Minimum0
Maximum215
Zeros319
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:12.662906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum215
Range215
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.626931
Coefficient of variation (CV)5.6800075
Kurtosis125.10791
Mean2.9272727
Median Absolute Deviation (MAD)0
Skewness10.57287
Sum1288
Variance276.45484
MonotonicityNot monotonic
2023-12-13T02:20:12.774428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 319
72.5%
1 49
 
11.1%
2 16
 
3.6%
3 13
 
3.0%
9 8
 
1.8%
6 5
 
1.1%
4 3
 
0.7%
12 3
 
0.7%
5 3
 
0.7%
28 2
 
0.5%
Other values (13) 19
 
4.3%
ValueCountFrequency (%)
0 319
72.5%
1 49
 
11.1%
2 16
 
3.6%
3 13
 
3.0%
4 3
 
0.7%
5 3
 
0.7%
6 5
 
1.1%
7 2
 
0.5%
8 1
 
0.2%
9 8
 
1.8%
ValueCountFrequency (%)
215 2
0.5%
101 2
0.5%
47 1
0.2%
44 1
0.2%
35 2
0.5%
28 2
0.5%
24 1
0.2%
23 1
0.2%
17 1
0.2%
16 2
0.5%

사망_넘어짐
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28181818
Minimum0
Maximum19
Zeros392
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:12.871499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3575525
Coefficient of variation (CV)4.8171219
Kurtosis102.6967
Mean0.28181818
Median Absolute Deviation (MAD)0
Skewness9.0110289
Sum124
Variance1.8429489
MonotonicityNot monotonic
2023-12-13T02:20:12.973150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 392
89.1%
1 30
 
6.8%
2 5
 
1.1%
5 4
 
0.9%
3 3
 
0.7%
6 2
 
0.5%
19 1
 
0.2%
7 1
 
0.2%
4 1
 
0.2%
13 1
 
0.2%
ValueCountFrequency (%)
0 392
89.1%
1 30
 
6.8%
2 5
 
1.1%
3 3
 
0.7%
4 1
 
0.2%
5 4
 
0.9%
6 2
 
0.5%
7 1
 
0.2%
13 1
 
0.2%
19 1
 
0.2%
ValueCountFrequency (%)
19 1
 
0.2%
13 1
 
0.2%
7 1
 
0.2%
6 2
 
0.5%
5 4
 
0.9%
4 1
 
0.2%
3 3
 
0.7%
2 5
 
1.1%
1 30
 
6.8%
0 392
89.1%

사망_부딪힘
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83636364
Minimum0
Maximum48
Zeros349
Zeros (%)79.3%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:13.092614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8962099
Coefficient of variation (CV)4.6585118
Kurtosis102.64707
Mean0.83636364
Median Absolute Deviation (MAD)0
Skewness9.3799616
Sum368
Variance15.180451
MonotonicityNot monotonic
2023-12-13T02:20:13.192501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 349
79.3%
1 46
 
10.5%
2 16
 
3.6%
5 6
 
1.4%
4 5
 
1.1%
3 5
 
1.1%
8 3
 
0.7%
6 3
 
0.7%
48 2
 
0.5%
21 2
 
0.5%
Other values (3) 3
 
0.7%
ValueCountFrequency (%)
0 349
79.3%
1 46
 
10.5%
2 16
 
3.6%
3 5
 
1.1%
4 5
 
1.1%
5 6
 
1.4%
6 3
 
0.7%
8 3
 
0.7%
10 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
48 2
 
0.5%
24 1
 
0.2%
21 2
 
0.5%
11 1
 
0.2%
10 1
 
0.2%
8 3
0.7%
6 3
0.7%
5 6
1.4%
4 5
1.1%
3 5
1.1%

사망_맞음
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51818182
Minimum0
Maximum22
Zeros372
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:13.296108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.05
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1984953
Coefficient of variation (CV)4.2427103
Kurtosis63.971223
Mean0.51818182
Median Absolute Deviation (MAD)0
Skewness7.4656814
Sum228
Variance4.8333817
MonotonicityNot monotonic
2023-12-13T02:20:13.395791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 372
84.5%
1 30
 
6.8%
2 16
 
3.6%
4 7
 
1.6%
3 6
 
1.4%
9 2
 
0.5%
22 2
 
0.5%
8 2
 
0.5%
21 1
 
0.2%
16 1
 
0.2%
ValueCountFrequency (%)
0 372
84.5%
1 30
 
6.8%
2 16
 
3.6%
3 6
 
1.4%
4 7
 
1.6%
5 1
 
0.2%
8 2
 
0.5%
9 2
 
0.5%
16 1
 
0.2%
21 1
 
0.2%
ValueCountFrequency (%)
22 2
 
0.5%
21 1
 
0.2%
16 1
 
0.2%
9 2
 
0.5%
8 2
 
0.5%
5 1
 
0.2%
4 7
 
1.6%
3 6
 
1.4%
2 16
3.6%
1 30
6.8%

사망_무너짐
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38181818
Minimum0
Maximum30
Zeros390
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:13.498187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2997744
Coefficient of variation (CV)6.0232188
Kurtosis127.63837
Mean0.38181818
Median Absolute Deviation (MAD)0
Skewness10.614664
Sum168
Variance5.2889625
MonotonicityNot monotonic
2023-12-13T02:20:13.604621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 390
88.6%
1 33
 
7.5%
2 5
 
1.1%
4 3
 
0.7%
30 2
 
0.5%
11 2
 
0.5%
3 2
 
0.5%
10 2
 
0.5%
5 1
 
0.2%
ValueCountFrequency (%)
0 390
88.6%
1 33
 
7.5%
2 5
 
1.1%
3 2
 
0.5%
4 3
 
0.7%
5 1
 
0.2%
10 2
 
0.5%
11 2
 
0.5%
30 2
 
0.5%
ValueCountFrequency (%)
30 2
 
0.5%
11 2
 
0.5%
10 2
 
0.5%
5 1
 
0.2%
4 3
 
0.7%
3 2
 
0.5%
2 5
 
1.1%
1 33
 
7.5%
0 390
88.6%

사망_끼임
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81818182
Minimum0
Maximum51
Zeros334
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:13.710791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.3030167
Coefficient of variation (CV)4.0370204
Kurtosis129.83638
Mean0.81818182
Median Absolute Deviation (MAD)0
Skewness9.8938049
Sum360
Variance10.909919
MonotonicityNot monotonic
2023-12-13T02:20:13.888311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 334
75.9%
1 55
 
12.5%
2 21
 
4.8%
4 7
 
1.6%
3 7
 
1.6%
7 3
 
0.7%
12 2
 
0.5%
21 2
 
0.5%
8 2
 
0.5%
6 1
 
0.2%
Other values (6) 6
 
1.4%
ValueCountFrequency (%)
0 334
75.9%
1 55
 
12.5%
2 21
 
4.8%
3 7
 
1.6%
4 7
 
1.6%
5 1
 
0.2%
6 1
 
0.2%
7 3
 
0.7%
8 2
 
0.5%
9 1
 
0.2%
ValueCountFrequency (%)
51 1
 
0.2%
21 2
0.5%
19 1
 
0.2%
12 2
0.5%
11 1
 
0.2%
10 1
 
0.2%
9 1
 
0.2%
8 2
0.5%
7 3
0.7%
6 1
 
0.2%

사망_절단베임찔림
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
434 
1
 
4
2
 
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 (%)
0 434
98.6%
1 4
 
0.9%
2 2
 
0.5%

Length

2023-12-13T02:20:14.079238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:14.203354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 434
98.6%
1 4
 
0.9%
2 2
 
0.5%

사망_감전
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15454545
Minimum0
Maximum11
Zeros407
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:14.328421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.85841793
Coefficient of variation (CV)5.554469
Kurtosis117.37083
Mean0.15454545
Median Absolute Deviation (MAD)0
Skewness9.9642296
Sum68
Variance0.73688134
MonotonicityNot monotonic
2023-12-13T02:20:14.454484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 407
92.5%
1 22
 
5.0%
2 5
 
1.1%
11 2
 
0.5%
4 2
 
0.5%
3 2
 
0.5%
ValueCountFrequency (%)
0 407
92.5%
1 22
 
5.0%
2 5
 
1.1%
3 2
 
0.5%
4 2
 
0.5%
11 2
 
0.5%
ValueCountFrequency (%)
11 2
 
0.5%
4 2
 
0.5%
3 2
 
0.5%
2 5
 
1.1%
1 22
 
5.0%
0 407
92.5%

사망_폭발파열
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24545455
Minimum0
Maximum12
Zeros399
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:14.559269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2586746
Coefficient of variation (CV)5.1279336
Kurtosis62.35577
Mean0.24545455
Median Absolute Deviation (MAD)0
Skewness7.6259172
Sum108
Variance1.5842618
MonotonicityNot monotonic
2023-12-13T02:20:14.669209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 399
90.7%
1 25
 
5.7%
2 9
 
2.0%
12 2
 
0.5%
10 2
 
0.5%
11 1
 
0.2%
6 1
 
0.2%
4 1
 
0.2%
ValueCountFrequency (%)
0 399
90.7%
1 25
 
5.7%
2 9
 
2.0%
4 1
 
0.2%
6 1
 
0.2%
10 2
 
0.5%
11 1
 
0.2%
12 2
 
0.5%
ValueCountFrequency (%)
12 2
 
0.5%
11 1
 
0.2%
10 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%
2 9
 
2.0%
1 25
 
5.7%
0 399
90.7%

사망_화재
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16363636
Minimum0
Maximum8
Zeros397
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:14.809705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6335678
Coefficient of variation (CV)3.8718032
Kurtosis63.181896
Mean0.16363636
Median Absolute Deviation (MAD)0
Skewness6.6544333
Sum72
Variance0.40140816
MonotonicityNot monotonic
2023-12-13T02:20:14.975157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 397
90.2%
1 25
 
5.7%
2 14
 
3.2%
3 2
 
0.5%
5 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
0 397
90.2%
1 25
 
5.7%
2 14
 
3.2%
3 2
 
0.5%
5 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
5 1
 
0.2%
3 2
 
0.5%
2 14
 
3.2%
1 25
 
5.7%
0 397
90.2%

사망_깔림뒤집힘
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48181818
Minimum0
Maximum22
Zeros372
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:15.124564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1258012
Coefficient of variation (CV)4.4120403
Kurtosis66.859358
Mean0.48181818
Median Absolute Deviation (MAD)0
Skewness7.6908908
Sum212
Variance4.5190309
MonotonicityNot monotonic
2023-12-13T02:20:15.252459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 372
84.5%
1 35
 
8.0%
2 15
 
3.4%
3 5
 
1.1%
4 4
 
0.9%
5 2
 
0.5%
22 2
 
0.5%
11 2
 
0.5%
19 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 372
84.5%
1 35
 
8.0%
2 15
 
3.4%
3 5
 
1.1%
4 4
 
0.9%
5 2
 
0.5%
6 1
 
0.2%
11 2
 
0.5%
15 1
 
0.2%
19 1
 
0.2%
ValueCountFrequency (%)
22 2
 
0.5%
19 1
 
0.2%
15 1
 
0.2%
11 2
 
0.5%
6 1
 
0.2%
5 2
 
0.5%
4 4
 
0.9%
3 5
 
1.1%
2 15
3.4%
1 35
8.0%

사망_이상온도물체접촉
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
433 
1
 
6
2
 
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 (%)
0 433
98.4%
1 6
 
1.4%
2 1
 
0.2%

Length

2023-12-13T02:20:15.396728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:15.513382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 433
98.4%
1 6
 
1.4%
2 1
 
0.2%

사망_빠짐익사
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13636364
Minimum0
Maximum7
Zeros408
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:15.619080image/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 deviation0.64000673
Coefficient of variation (CV)4.6933827
Kurtosis65.224112
Mean0.13636364
Median Absolute Deviation (MAD)0
Skewness7.2565445
Sum60
Variance0.40960861
MonotonicityNot monotonic
2023-12-13T02:20:15.730824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 408
92.7%
1 19
 
4.3%
2 7
 
1.6%
3 3
 
0.7%
7 2
 
0.5%
4 1
 
0.2%
ValueCountFrequency (%)
0 408
92.7%
1 19
 
4.3%
2 7
 
1.6%
3 3
 
0.7%
4 1
 
0.2%
7 2
 
0.5%
ValueCountFrequency (%)
7 2
 
0.5%
4 1
 
0.2%
3 3
 
0.7%
2 7
 
1.6%
1 19
 
4.3%
0 408
92.7%

사망_불균형및무리한동작
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
436 
1
 
4

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 (%)
0 436
99.1%
1 4
 
0.9%

Length

2023-12-13T02:20:15.861977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:15.997420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 436
99.1%
1 4
 
0.9%

사망_화학물질누출접촉
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
401 
1
 
26
2
 
6
4
 
4
6
 
3

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 (%)
0 401
91.1%
1 26
 
5.9%
2 6
 
1.4%
4 4
 
0.9%
6 3
 
0.7%

Length

2023-12-13T02:20:16.128083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:16.262995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 401
91.1%
1 26
 
5.9%
2 6
 
1.4%
4 4
 
0.9%
6 3
 
0.7%

사망_산소결핍
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
434 
1
 
4
2
 
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 (%)
0 434
98.6%
1 4
 
0.9%
2 2
 
0.5%

Length

2023-12-13T02:20:16.424896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:16.546944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 434
98.6%
1 4
 
0.9%
2 2
 
0.5%

사망_사업장내교통사고
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
432 
1
 
8

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 (%)
0 432
98.2%
1 8
 
1.8%

Length

2023-12-13T02:20:16.663066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:16.774743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 432
98.2%
1 8
 
1.8%

사망_사업장외교통사고
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7
Minimum0
Maximum67
Zeros406
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:16.895538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.7417114
Coefficient of variation (CV)6.7738734
Kurtosis141.2179
Mean0.7
Median Absolute Deviation (MAD)0
Skewness11.210151
Sum308
Variance22.483827
MonotonicityNot monotonic
2023-12-13T02:20:17.030344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 406
92.3%
1 9
 
2.0%
2 5
 
1.1%
7 4
 
0.9%
10 3
 
0.7%
8 3
 
0.7%
4 2
 
0.5%
6 2
 
0.5%
67 1
 
0.2%
26 1
 
0.2%
Other values (4) 4
 
0.9%
ValueCountFrequency (%)
0 406
92.3%
1 9
 
2.0%
2 5
 
1.1%
3 1
 
0.2%
4 2
 
0.5%
6 2
 
0.5%
7 4
 
0.9%
8 3
 
0.7%
9 1
 
0.2%
10 3
 
0.7%
ValueCountFrequency (%)
67 1
 
0.2%
59 1
 
0.2%
26 1
 
0.2%
23 1
 
0.2%
10 3
0.7%
9 1
 
0.2%
8 3
0.7%
7 4
0.9%
6 2
0.5%
4 2
0.5%

사망_업무상질병
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.263636
Minimum0
Maximum441
Zeros150
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-13T02:20:17.192231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile50.25
Maximum441
Range441
Interquartile range (IQR)7

Descriptive statistics

Standard deviation41.247887
Coefficient of variation (CV)3.3634304
Kurtosis62.376218
Mean12.263636
Median Absolute Deviation (MAD)2
Skewness7.2794125
Sum5396
Variance1701.3882
MonotonicityNot monotonic
2023-12-13T02:20:17.368156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
34.1%
1 66
15.0%
2 39
 
8.9%
3 35
 
8.0%
4 17
 
3.9%
7 11
 
2.5%
6 10
 
2.3%
15 9
 
2.0%
5 8
 
1.8%
9 6
 
1.4%
Other values (53) 89
20.2%
ValueCountFrequency (%)
0 150
34.1%
1 66
15.0%
2 39
 
8.9%
3 35
 
8.0%
4 17
 
3.9%
5 8
 
1.8%
6 10
 
2.3%
7 11
 
2.5%
8 4
 
0.9%
9 6
 
1.4%
ValueCountFrequency (%)
441 1
0.2%
416 1
0.2%
332 1
0.2%
322 1
0.2%
164 1
0.2%
138 2
0.5%
137 2
0.5%
124 1
0.2%
103 1
0.2%
101 1
0.2%

사망_체육행사
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
440 

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 (%)
0 440
100.0%

Length

2023-12-13T02:20:17.483631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:17.580923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
100.0%

사망_폭력행위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
440 

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 (%)
0 440
100.0%

Length

2023-12-13T02:20:17.671291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:17.763317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
100.0%

사망_동물상해
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
423 
1
 
13
2
 
2
4
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 423
96.1%
1 13
 
3.0%
2 2
 
0.5%
4 1
 
0.2%
3 1
 
0.2%

Length

2023-12-13T02:20:17.849779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:17.962556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 423
96.1%
1 13
 
3.0%
2 2
 
0.5%
4 1
 
0.2%
3 1
 
0.2%

사망_기타
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
440 

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 (%)
0 440
100.0%

Length

2023-12-13T02:20:18.080506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:18.211020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
100.0%

사망_분류불능
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
440 

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 (%)
0 440
100.0%

Length

2023-12-13T02:20:18.300988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:20:18.383677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 440
100.0%

Sample

대업종중업종규모사망_떨어짐사망_넘어짐사망_부딪힘사망_맞음사망_무너짐사망_끼임사망_절단베임찔림사망_감전사망_폭발파열사망_화재사망_깔림뒤집힘사망_이상온도물체접촉사망_빠짐익사사망_불균형및무리한동작사망_화학물질누출접촉사망_산소결핍사망_사업장내교통사고사망_사업장외교통사고사망_업무상질병사망_체육행사사망_폭력행위사망_동물상해사망_기타사망_분류불능
0금융및보험업금융및보험업 소계계1000000000000000001500000
1금융및보험업금융및보험업 소계5인 미만000000000000000000100000
2금융및보험업금융및보험업 소계5인 ~ 9인000000000000000000100000
3금융및보험업금융및보험업 소계10인 ~ 19인000000000000000000300000
4금융및보험업금융및보험업 소계20인 ~ 29인100000000000000000300000
5금융및보험업금융및보험업 소계30인 ~ 49인000000000000000000100000
6금융및보험업금융및보험업 소계50인 ~ 99인000000000000000000300000
7금융및보험업금융및보험업 소계100인 ~ 299인000000000000000000000000
8금융및보험업금융및보험업 소계300인 ~ 499인000000000000000000000000
9금융및보험업금융및보험업 소계500인 ~ 999인000000000000000000200000
대업종중업종규모사망_떨어짐사망_넘어짐사망_부딪힘사망_맞음사망_무너짐사망_끼임사망_절단베임찔림사망_감전사망_폭발파열사망_화재사망_깔림뒤집힘사망_이상온도물체접촉사망_빠짐익사사망_불균형및무리한동작사망_화학물질누출접촉사망_산소결핍사망_사업장내교통사고사망_사업장외교통사고사망_업무상질병사망_체육행사사망_폭력행위사망_동물상해사망_기타사망_분류불능
430기타의사업주한미군5인 미만000000000000000000000000
431기타의사업주한미군5인 ~ 9인000000000000000000000000
432기타의사업주한미군10인 ~ 19인000000000000000000000000
433기타의사업주한미군20인 ~ 29인000000000000000000000000
434기타의사업주한미군30인 ~ 49인000000000000000000000000
435기타의사업주한미군50인 ~ 99인000000000000000000000000
436기타의사업주한미군100인 ~ 299인000000000000000000000000
437기타의사업주한미군300인 ~ 499인000000000000000000000000
438기타의사업주한미군500인 ~ 999인000000000000000000000000
439기타의사업주한미군1,000인 이상000000000000000000100000