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

Categorical18
Numeric8

Dataset

Description산업재해현황분석데이터(산업중분류별발생형태별사고사망자수) 산업안전보건에 대한 통계 자료로써 발생형태별, 산업중분류별, 사고사망자수 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15084679/fileData.do

Alerts

사고사망_체육행사 has constant value ""Constant
사고사망_폭력행위 has constant value ""Constant
사고사망_기타 has constant value ""Constant
사고사망_분류불능 has constant value ""Constant
사고사망_절단베임찔림 is highly imbalanced (95.5%)Imbalance
사고사망_감전 is highly imbalanced (84.0%)Imbalance
사고사망_폭발파열 is highly imbalanced (76.8%)Imbalance
사고사망_화재 is highly imbalanced (73.1%)Imbalance
사고사망_이상온도물체접촉 is highly imbalanced (91.9%)Imbalance
사고사망_빠짐익사 is highly imbalanced (82.4%)Imbalance
사고사망_불균형및무리한동작 is highly imbalanced (95.5%)Imbalance
사고사망_화학물질누출접촉 is highly imbalanced (79.7%)Imbalance
사고사망_산소결핍 is highly imbalanced (91.9%)Imbalance
사고사망_사업장내교통사고 is highly imbalanced (91.9%)Imbalance
사고사망_동물상해 is highly imbalanced (88.2%)Imbalance
사고사망_떨어짐 has 308 (77.0%) zerosZeros
사고사망_넘어짐 has 366 (91.5%) zerosZeros
사고사망_부딪힘 has 328 (82.0%) zerosZeros
사고사망_맞음 has 351 (87.8%) zerosZeros
사고사망_무너짐 has 362 (90.5%) zerosZeros
사고사망_끼임 has 318 (79.5%) zerosZeros
사고사망_깔림뒤집힘 has 350 (87.5%) zerosZeros
사고사망_사업장외교통사고 has 372 (93.0%) zerosZeros

Reproduction

Analysis started2023-12-12 03:52:08.887965
Analysis finished2023-12-12 03:52:09.167316
Duration0.28 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

2023-12-12T12:52:09.246466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:09.438031image/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

2023-12-12T12:52:09.672848image/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

2023-12-12T12:52:09.936404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:10.164160image/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%

사고사망_떨어짐
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.61
Minimum0
Maximum101
Zeros308
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:10.403347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.05
Maximum101
Range101
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.1029033
Coefficient of variation (CV)5.0328592
Kurtosis114.45455
Mean1.61
Median Absolute Deviation (MAD)0
Skewness9.943211
Sum644
Variance65.657043
MonotonicityNot monotonic
2023-12-12T12:52:10.589071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 308
77.0%
1 43
 
10.8%
2 11
 
2.8%
3 8
 
2.0%
9 6
 
1.5%
12 3
 
0.8%
4 3
 
0.8%
28 2
 
0.5%
16 2
 
0.5%
35 2
 
0.5%
Other values (8) 12
 
3.0%
ValueCountFrequency (%)
0 308
77.0%
1 43
 
10.8%
2 11
 
2.8%
3 8
 
2.0%
4 3
 
0.8%
5 2
 
0.5%
6 2
 
0.5%
7 2
 
0.5%
8 1
 
0.2%
9 6
 
1.5%
ValueCountFrequency (%)
101 2
 
0.5%
35 2
 
0.5%
28 2
 
0.5%
24 1
 
0.2%
16 2
 
0.5%
14 1
 
0.2%
12 3
0.8%
11 1
 
0.2%
9 6
1.5%
8 1
 
0.2%

사고사망_넘어짐
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.155
Minimum0
Maximum7
Zeros366
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:10.777618image/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 deviation0.70868228
Coefficient of variation (CV)4.5721438
Kurtosis52.003992
Mean0.155
Median Absolute Deviation (MAD)0
Skewness6.7750197
Sum62
Variance0.50223058
MonotonicityNot monotonic
2023-12-12T12:52:10.953282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 366
91.5%
1 26
 
6.5%
3 2
 
0.5%
6 2
 
0.5%
7 1
 
0.2%
4 1
 
0.2%
5 1
 
0.2%
2 1
 
0.2%
ValueCountFrequency (%)
0 366
91.5%
1 26
 
6.5%
2 1
 
0.2%
3 2
 
0.5%
4 1
 
0.2%
5 1
 
0.2%
6 2
 
0.5%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
6 2
 
0.5%
5 1
 
0.2%
4 1
 
0.2%
3 2
 
0.5%
2 1
 
0.2%
1 26
 
6.5%
0 366
91.5%

사고사망_부딪힘
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46
Minimum0
Maximum21
Zeros328
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:11.133873image/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 deviation1.7934439
Coefficient of variation (CV)3.8987911
Kurtosis87.238019
Mean0.46
Median Absolute Deviation (MAD)0
Skewness8.3654911
Sum184
Variance3.2164411
MonotonicityNot monotonic
2023-12-12T12:52:11.285909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 328
82.0%
1 40
 
10.0%
2 15
 
3.8%
4 4
 
1.0%
3 4
 
1.0%
6 3
 
0.8%
21 2
 
0.5%
8 2
 
0.5%
5 2
 
0.5%
ValueCountFrequency (%)
0 328
82.0%
1 40
 
10.0%
2 15
 
3.8%
3 4
 
1.0%
4 4
 
1.0%
5 2
 
0.5%
6 3
 
0.8%
8 2
 
0.5%
21 2
 
0.5%
ValueCountFrequency (%)
21 2
 
0.5%
8 2
 
0.5%
6 3
 
0.8%
5 2
 
0.5%
4 4
 
1.0%
3 4
 
1.0%
2 15
 
3.8%
1 40
 
10.0%
0 328
82.0%

사고사망_맞음
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.285
Minimum0
Maximum9
Zeros351
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:11.431350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0543026
Coefficient of variation (CV)3.6993072
Kurtosis37.888394
Mean0.285
Median Absolute Deviation (MAD)0
Skewness5.6518146
Sum114
Variance1.1115539
MonotonicityNot monotonic
2023-12-12T12:52:11.608060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 351
87.8%
1 23
 
5.8%
2 14
 
3.5%
4 5
 
1.2%
3 3
 
0.8%
9 2
 
0.5%
8 2
 
0.5%
ValueCountFrequency (%)
0 351
87.8%
1 23
 
5.8%
2 14
 
3.5%
3 3
 
0.8%
4 5
 
1.2%
8 2
 
0.5%
9 2
 
0.5%
ValueCountFrequency (%)
9 2
 
0.5%
8 2
 
0.5%
4 5
 
1.2%
3 3
 
0.8%
2 14
 
3.5%
1 23
 
5.8%
0 351
87.8%

사고사망_무너짐
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21
Minimum0
Maximum11
Zeros362
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:11.727814image/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 deviation1.1040595
Coefficient of variation (CV)5.2574262
Kurtosis75.154146
Mean0.21
Median Absolute Deviation (MAD)0
Skewness8.3586184
Sum84
Variance1.2189474
MonotonicityNot monotonic
2023-12-12T12:52:11.859319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 362
90.5%
1 28
 
7.0%
2 4
 
1.0%
11 2
 
0.5%
3 2
 
0.5%
10 2
 
0.5%
ValueCountFrequency (%)
0 362
90.5%
1 28
 
7.0%
2 4
 
1.0%
3 2
 
0.5%
10 2
 
0.5%
11 2
 
0.5%
ValueCountFrequency (%)
11 2
 
0.5%
10 2
 
0.5%
3 2
 
0.5%
2 4
 
1.0%
1 28
 
7.0%
0 362
90.5%

사고사망_끼임
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45
Minimum0
Maximum12
Zeros318
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:12.017281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3755837
Coefficient of variation (CV)3.0568527
Kurtosis34.766055
Mean0.45
Median Absolute Deviation (MAD)0
Skewness5.3362151
Sum180
Variance1.8922306
MonotonicityNot monotonic
2023-12-12T12:52:12.193788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 318
79.5%
1 48
 
12.0%
2 17
 
4.2%
3 5
 
1.2%
4 4
 
1.0%
7 2
 
0.5%
12 2
 
0.5%
10 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 318
79.5%
1 48
 
12.0%
2 17
 
4.2%
3 5
 
1.2%
4 4
 
1.0%
5 1
 
0.2%
6 1
 
0.2%
7 2
 
0.5%
8 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
12 2
 
0.5%
10 1
 
0.2%
8 1
 
0.2%
7 2
 
0.5%
6 1
 
0.2%
5 1
 
0.2%
4 4
 
1.0%
3 5
 
1.2%
2 17
 
4.2%
1 48
12.0%

사고사망_절단베임찔림
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
397 
1
 
2
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 (%)
0 397
99.2%
1 2
 
0.5%
2 1
 
0.2%

Length

2023-12-12T12:52:12.401230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:12.560564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 397
99.2%
1 2
 
0.5%
2 1
 
0.2%

사고사망_감전
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
379 
1
 
14
2
 
3
4
 
2
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 (%)
0 379
94.8%
1 14
 
3.5%
2 3
 
0.8%
4 2
 
0.5%
3 2
 
0.5%

Length

2023-12-12T12:52:12.733958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:12.877007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 379
94.8%
1 14
 
3.5%
2 3
 
0.8%
4 2
 
0.5%
3 2
 
0.5%

사고사망_폭발파열
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
370 
1
 
22
2
 
6
10
 
2

Length

Max length2
Median length1
Mean length1.005
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 370
92.5%
1 22
 
5.5%
2 6
 
1.5%
10 2
 
0.5%

Length

2023-12-12T12:52:13.055102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:13.203436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 370
92.5%
1 22
 
5.5%
2 6
 
1.5%
10 2
 
0.5%

사고사망_화재
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
372 
1
 
20
2
 
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 (%)
0 372
93.0%
1 20
 
5.0%
2 8
 
2.0%

Length

2023-12-12T12:52:13.346432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:13.490185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 372
93.0%
1 20
 
5.0%
2 8
 
2.0%

사고사망_깔림뒤집힘
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.265
Minimum0
Maximum11
Zeros350
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:13.620026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0428297
Coefficient of variation (CV)3.9352063
Kurtosis60.124451
Mean0.265
Median Absolute Deviation (MAD)0
Skewness6.9155444
Sum106
Variance1.0874937
MonotonicityNot monotonic
2023-12-12T12:52:13.747568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 350
87.5%
1 30
 
7.5%
2 9
 
2.2%
3 4
 
1.0%
5 2
 
0.5%
4 2
 
0.5%
11 2
 
0.5%
6 1
 
0.2%
ValueCountFrequency (%)
0 350
87.5%
1 30
 
7.5%
2 9
 
2.2%
3 4
 
1.0%
4 2
 
0.5%
5 2
 
0.5%
6 1
 
0.2%
11 2
 
0.5%
ValueCountFrequency (%)
11 2
 
0.5%
6 1
 
0.2%
5 2
 
0.5%
4 2
 
0.5%
3 4
 
1.0%
2 9
 
2.2%
1 30
 
7.5%
0 350
87.5%

사고사망_이상온도물체접촉
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
396 
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 (%)
0 396
99.0%
1 4
 
1.0%

Length

2023-12-12T12:52:13.904240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:14.021047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 396
99.0%
1 4
 
1.0%

사고사망_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

2023-12-12T12:52:14.144783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:14.260863image/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%

사고사망_불균형및무리한동작
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
398 
1
 
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 (%)
0 398
99.5%
1 2
 
0.5%

Length

2023-12-12T12:52:14.419886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:14.540118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 398
99.5%
1 2
 
0.5%

사고사망_화학물질누출접촉
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
375 
1
 
18
2
 
5
4
 
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 (%)
0 375
93.8%
1 18
 
4.5%
2 5
 
1.2%
4 2
 
0.5%

Length

2023-12-12T12:52:14.686567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:14.891594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 375
93.8%
1 18
 
4.5%
2 5
 
1.2%
4 2
 
0.5%

사고사망_산소결핍
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
396 
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 (%)
0 396
99.0%
1 4
 
1.0%

Length

2023-12-12T12:52:15.068234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:15.227112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 396
99.0%
1 4
 
1.0%

사고사망_사업장내교통사고
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
396 
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 (%)
0 396
99.0%
1 4
 
1.0%

Length

2023-12-12T12:52:15.378588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:15.536533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 396
99.0%
1 4
 
1.0%

사고사망_사업장외교통사고
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.385
Minimum0
Maximum26
Zeros372
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T12:52:15.720372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.05
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1279322
Coefficient of variation (CV)5.5270965
Kurtosis86.86359
Mean0.385
Median Absolute Deviation (MAD)0
Skewness8.5123096
Sum154
Variance4.5280952
MonotonicityNot monotonic
2023-12-12T12:52:15.888932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 372
93.0%
1 8
 
2.0%
2 5
 
1.2%
8 3
 
0.8%
7 3
 
0.8%
4 2
 
0.5%
6 2
 
0.5%
26 1
 
0.2%
10 1
 
0.2%
3 1
 
0.2%
Other values (2) 2
 
0.5%
ValueCountFrequency (%)
0 372
93.0%
1 8
 
2.0%
2 5
 
1.2%
3 1
 
0.2%
4 2
 
0.5%
6 2
 
0.5%
7 3
 
0.8%
8 3
 
0.8%
9 1
 
0.2%
10 1
 
0.2%
ValueCountFrequency (%)
26 1
 
0.2%
23 1
 
0.2%
10 1
 
0.2%
9 1
 
0.2%
8 3
0.8%
7 3
0.8%
6 2
 
0.5%
4 2
 
0.5%
3 1
 
0.2%
2 5
1.2%

사고사망_체육행사
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
400 

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 (%)
0 400
100.0%

Length

2023-12-12T12:52:16.070359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:16.219157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 400
100.0%

사고사망_폭력행위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
400 

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 (%)
0 400
100.0%

Length

2023-12-12T12:52:16.378694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:16.530832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 400
100.0%

사고사망_동물상해
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
390 
1
 
8
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 (%)
0 390
97.5%
1 8
 
2.0%
2 2
 
0.5%

Length

2023-12-12T12:52:16.668450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:16.804940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 390
97.5%
1 8
 
2.0%
2 2
 
0.5%

사고사망_기타
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
400 

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 (%)
0 400
100.0%

Length

2023-12-12T12:52:16.937539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:17.071237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 400
100.0%

사고사망_분류불능
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
400 

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 (%)
0 400
100.0%

Length

2023-12-12T12:52:17.198128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:52:17.308811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 400
100.0%

Sample

대업종중업종규모사고사망_떨어짐사고사망_넘어짐사고사망_부딪힘사고사망_맞음사고사망_무너짐사고사망_끼임사고사망_절단베임찔림사고사망_감전사고사망_폭발파열사고사망_화재사고사망_깔림뒤집힘사고사망_이상온도물체접촉사고사망_빠짐익사사고사망_불균형및무리한동작사고사망_화학물질누출접촉사고사망_산소결핍사고사망_사업장내교통사고사고사망_사업장외교통사고사고사망_체육행사사고사망_폭력행위사고사망_동물상해사고사망_기타사고사망_분류불능
0금융및보험업금융및보험업 소계5인 미만00000000000000000000000
1금융및보험업금융및보험업 소계5인 ~ 9인00000000000000000000000
2금융및보험업금융및보험업 소계10인 ~ 19인00000000000000000000000
3금융및보험업금융및보험업 소계20인 ~ 29인10000000000000000000000
4금융및보험업금융및보험업 소계30인 ~ 49인00000000000000000000000
5금융및보험업금융및보험업 소계50인 ~ 99인00000000000000000000000
6금융및보험업금융및보험업 소계100인 ~ 299인00000000000000000000000
7금융및보험업금융및보험업 소계300인 ~ 499인00000000000000000000000
8금융및보험업금융및보험업 소계500인 ~ 999인00000000000000000000000
9금융및보험업금융및보험업 소계1,000인 이상00000000000000000000000
대업종중업종규모사고사망_떨어짐사고사망_넘어짐사고사망_부딪힘사고사망_맞음사고사망_무너짐사고사망_끼임사고사망_절단베임찔림사고사망_감전사고사망_폭발파열사고사망_화재사고사망_깔림뒤집힘사고사망_이상온도물체접촉사고사망_빠짐익사사고사망_불균형및무리한동작사고사망_화학물질누출접촉사고사망_산소결핍사고사망_사업장내교통사고사고사망_사업장외교통사고사고사망_체육행사사고사망_폭력행위사고사망_동물상해사고사망_기타사고사망_분류불능
390기타의사업주한미군5인 미만00000000000000000000000
391기타의사업주한미군5인 ~ 9인00000000000000000000000
392기타의사업주한미군10인 ~ 19인00000000000000000000000
393기타의사업주한미군20인 ~ 29인00000000000000000000000
394기타의사업주한미군30인 ~ 49인00000000000000000000000
395기타의사업주한미군50인 ~ 99인00000000000000000000000
396기타의사업주한미군100인 ~ 299인00000000000000000000000
397기타의사업주한미군300인 ~ 499인00000000000000000000000
398기타의사업주한미군500인 ~ 999인00000000000000000000000
399기타의사업주한미군1,000인 이상00000000000000000000000