Overview

Dataset statistics

Number of variables21
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory191.4 B

Variable types

Categorical1
Text1
Numeric19

Dataset

Description한국산업안전보건공단에서 제공하는 산업안전보건에 대한 통계자료로 연도별, 산업중분류별로 사고사망자에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15084657/fileData.do

Alerts

구분 has unique valuesUnique
2004년 사고사망자수 has 3 (10.0%) zerosZeros
2005년 사고사망자수 has 1 (3.3%) zerosZeros
2006년 사고사망자수 has 4 (13.3%) zerosZeros
2007년 사고사망자수 has 3 (10.0%) zerosZeros
2008년 사고사망자수 has 3 (10.0%) zerosZeros
2009년 사고사망자수 has 3 (10.0%) zerosZeros
2010년 사고사망자수 has 4 (13.3%) zerosZeros
2011년 사고사망자수 has 3 (10.0%) zerosZeros
2012년 사고사망자수 has 5 (16.7%) zerosZeros
2013년 사고사망자수 has 2 (6.7%) zerosZeros
2014년 사고사망자수 has 1 (3.3%) zerosZeros
2015년 사고사망자수 has 4 (13.3%) zerosZeros
2016년 사고사망자수 has 6 (20.0%) zerosZeros
2017년 사고사망자수 has 1 (3.3%) zerosZeros
2018년 사고사망자수 has 3 (10.0%) zerosZeros
2019년 사고사망자수 has 2 (6.7%) zerosZeros
2020년 사고사망자수 has 2 (6.7%) zerosZeros
2021년 사고사망자수 has 5 (16.7%) zerosZeros
2022년 사고사망자수 has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-12 01:57:16.557519
Analysis finished2023-12-12 01:57:16.802512
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대업종
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
제조업
11 
기타의사업
8 
운수·창고·통신업
3 
광 업
2 
금융및보험업
 
1
Other values (5)
5 

Length

Max length13
Median length9
Mean length4.7333333
Min length3

Unique

Unique6 ?
Unique (%)20.0%

Sample

1st row금융및보험업
2nd row광 업
3rd row광 업
4th row제조업
5th row제조업

Common Values

ValueCountFrequency (%)
제조업 11
36.7%
기타의사업 8
26.7%
운수·창고·통신업 3
 
10.0%
광 업 2
 
6.7%
금융및보험업 1
 
3.3%
전기·가스·증기·수도사업 1
 
3.3%
건설업 1
 
3.3%
임 업 1
 
3.3%
어 업 1
 
3.3%
농 업 1
 
3.3%

Length

2023-12-12T10:57:16.895669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:57:17.041659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 11
31.4%
기타의사업 8
22.9%
업 5
14.3%
운수·창고·통신업 3
 
8.6%
광 2
 
5.7%
금융및보험업 1
 
2.9%
전기·가스·증기·수도사업 1
 
2.9%
건설업 1
 
2.9%
임 1
 
2.9%
어 1
 
2.9%

구분
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T10:57:17.303436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length9.3666667
Min length2

Characters and Unicode

Total characters281
Distinct characters101
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row금융및보험업
2nd row석탄광업및채석업
3rd row석회석·금속·비금속광업및기타광업
4th row식료품제조업
5th row섬유및섬유제품제조업
ValueCountFrequency (%)
금융및보험업 1
 
3.3%
석탄광업및채석업 1
 
3.3%
국가및지방자치단체의사업 1
 
3.3%
부동산업및임대업 1
 
3.3%
도소매·음식·숙박업 1
 
3.3%
전문·보건·교육·여가관련서비스업 1
 
3.3%
해외파견자 1
 
3.3%
기타의각종사업 1
 
3.3%
시설관리및사업지원서비스업 1
 
3.3%
농업 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T10:57:17.779850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 32
 
11.4%
· 22
 
7.8%
제 18
 
6.4%
및 12
 
4.3%
품 11
 
3.9%
기 11
 
3.9%
조 9
 
3.2%
금 6
 
2.1%
수 6
 
2.1%
비 5
 
1.8%
Other values (91) 149
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
92.2%
Other Punctuation 22
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
Other Punctuation
ValueCountFrequency (%)
· 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
92.2%
Common 22
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
Common
ValueCountFrequency (%)
· 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
92.2%
None 22
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 32
 
12.4%
제 18
 
6.9%
및 12
 
4.6%
품 11
 
4.2%
기 11
 
4.2%
조 9
 
3.5%
금 6
 
2.3%
수 6
 
2.3%
비 5
 
1.9%
속 5
 
1.9%
Other values (90) 144
55.6%
None
ValueCountFrequency (%)
· 22
100.0%

2004년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.266667
Minimum0
Maximum601
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:17.916402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median14.5
Q333.25
95-th percentile119.8
Maximum601
Range601
Interquartile range (IQR)29

Descriptive statistics

Standard deviation110.15974
Coefficient of variation (CV)2.5460648
Kurtosis24.589818
Mean43.266667
Median Absolute Deviation (MAD)11.5
Skewness4.8076483
Sum1298
Variance12135.168
MonotonicityNot monotonic
2023-12-12T10:57:18.106051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.0%
3 2
 
6.7%
9 2
 
6.7%
2 2
 
6.7%
16 1
 
3.3%
17 1
 
3.3%
4 1
 
3.3%
70 1
 
3.3%
15 1
 
3.3%
22 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
2 2
6.7%
3 2
6.7%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
9 2
6.7%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
601 1
3.3%
154 1
3.3%
78 1
3.3%
70 1
3.3%
64 1
3.3%
44 1
3.3%
38 1
3.3%
35 1
3.3%
28 1
3.3%
22 1
3.3%

2005년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.566667
Minimum0
Maximum490
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:18.270399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.5
median13.5
Q324.75
95-th percentile135.75
Maximum490
Range490
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation91.784486
Coefficient of variation (CV)2.3197427
Kurtosis21.437965
Mean39.566667
Median Absolute Deviation (MAD)11
Skewness4.4376699
Sum1187
Variance8424.392
MonotonicityNot monotonic
2023-12-12T10:57:18.445888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 3
 
10.0%
1 3
 
10.0%
7 2
 
6.7%
23 2
 
6.7%
5 2
 
6.7%
24 2
 
6.7%
53 1
 
3.3%
0 1
 
3.3%
61 1
 
3.3%
17 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 1
 
3.3%
1 3
10.0%
2 3
10.0%
3 1
 
3.3%
5 2
6.7%
7 2
6.7%
9 1
 
3.3%
10 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
490 1
3.3%
165 1
3.3%
100 1
3.3%
61 1
3.3%
53 1
3.3%
44 1
3.3%
34 1
3.3%
25 1
3.3%
24 2
6.7%
23 2
6.7%

2006년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.233333
Minimum0
Maximum515
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:18.593129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median10.5
Q328
95-th percentile122.15
Maximum515
Range515
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation96.292544
Coefficient of variation (CV)2.5861919
Kurtosis22.549319
Mean37.233333
Median Absolute Deviation (MAD)8.5
Skewness4.5883599
Sum1117
Variance9272.254
MonotonicityNot monotonic
2023-12-12T10:57:18.731955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
13.3%
3 3
 
10.0%
2 3
 
10.0%
6 2
 
6.7%
515 1
 
3.3%
53 1
 
3.3%
17 1
 
3.3%
19 1
 
3.3%
60 1
 
3.3%
1 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 4
13.3%
1 1
 
3.3%
2 3
10.0%
3 3
10.0%
4 1
 
3.3%
6 2
6.7%
10 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
515 1
3.3%
173 1
3.3%
60 1
3.3%
53 1
3.3%
50 1
3.3%
49 1
3.3%
31 1
3.3%
30 1
3.3%
22 1
3.3%
19 1
3.3%

2007년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.866667
Minimum0
Maximum497
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:18.897810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median11.5
Q328.5
95-th percentile132.8
Maximum497
Range497
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation93.744235
Coefficient of variation (CV)2.47564
Kurtosis21.342437
Mean37.866667
Median Absolute Deviation (MAD)10.5
Skewness4.4533633
Sum1136
Variance8787.9816
MonotonicityNot monotonic
2023-12-12T10:57:19.038410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3 3
 
10.0%
0 3
 
10.0%
2 3
 
10.0%
13 2
 
6.7%
27 2
 
6.7%
1 2
 
6.7%
54 1
 
3.3%
46 1
 
3.3%
23 1
 
3.3%
69 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
2 3
10.0%
3 3
10.0%
4 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
13 2
6.7%
15 1
 
3.3%
ValueCountFrequency (%)
497 1
3.3%
185 1
3.3%
69 1
3.3%
54 1
3.3%
46 1
3.3%
42 1
3.3%
34 1
3.3%
29 1
3.3%
27 2
6.7%
23 1
3.3%

2008년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.066667
Minimum0
Maximum535
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:19.199624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9
Q332.75
95-th percentile127.3
Maximum535
Range535
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation100.00032
Coefficient of variation (CV)2.5597352
Kurtosis22.480064
Mean39.066667
Median Absolute Deviation (MAD)7.5
Skewness4.5709447
Sum1172
Variance10000.064
MonotonicityNot monotonic
2023-12-12T10:57:19.378810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3 4
 
13.3%
0 3
 
10.0%
1 2
 
6.7%
6 2
 
6.7%
9 2
 
6.7%
2 2
 
6.7%
42 1
 
3.3%
69 1
 
3.3%
67 1
 
3.3%
12 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
2 2
6.7%
3 4
13.3%
5 1
 
3.3%
6 2
6.7%
9 2
6.7%
12 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
535 1
3.3%
175 1
3.3%
69 1
3.3%
67 1
3.3%
55 1
3.3%
42 1
3.3%
38 1
3.3%
35 1
3.3%
26 1
3.3%
22 1
3.3%

2009년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.866667
Minimum0
Maximum487
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:19.544672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q335.5
95-th percentile121.45
Maximum487
Range487
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation90.92958
Coefficient of variation (CV)2.4013093
Kurtosis22.053463
Mean37.866667
Median Absolute Deviation (MAD)11
Skewness4.5055065
Sum1136
Variance8268.1885
MonotonicityNot monotonic
2023-12-12T10:57:19.765317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 4
 
13.3%
0 3
 
10.0%
17 2
 
6.7%
12 2
 
6.7%
3 2
 
6.7%
7 2
 
6.7%
487 1
 
3.3%
67 1
 
3.3%
16 1
 
3.3%
78 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 4
13.3%
3 2
6.7%
4 1
 
3.3%
5 1
 
3.3%
7 2
6.7%
8 1
 
3.3%
12 2
6.7%
14 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
487 1
3.3%
157 1
3.3%
78 1
3.3%
67 1
3.3%
52 1
3.3%
44 1
3.3%
43 1
3.3%
39 1
3.3%
25 1
3.3%
17 2
6.7%

2010년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.133333
Minimum0
Maximum487
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:19.915615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median9
Q328
95-th percentile119.75
Maximum487
Range487
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation90.98493
Coefficient of variation (CV)2.4502225
Kurtosis22.204652
Mean37.133333
Median Absolute Deviation (MAD)9
Skewness4.5432216
Sum1114
Variance8278.2575
MonotonicityNot monotonic
2023-12-12T10:57:20.059586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 4
13.3%
9 3
 
10.0%
3 2
 
6.7%
22 2
 
6.7%
21 2
 
6.7%
46 2
 
6.7%
6 2
 
6.7%
4 2
 
6.7%
487 1
 
3.3%
62 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 4
13.3%
1 1
 
3.3%
2 1
 
3.3%
3 2
6.7%
4 2
6.7%
6 2
6.7%
8 1
 
3.3%
9 3
10.0%
13 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
487 1
3.3%
167 1
3.3%
62 1
3.3%
55 1
3.3%
46 2
6.7%
40 1
3.3%
30 1
3.3%
22 2
6.7%
21 2
6.7%
18 1
3.3%

2011년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.633333
Minimum0
Maximum499
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:20.194650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11.5
Q330.75
95-th percentile117.25
Maximum499
Range499
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation92.577454
Coefficient of variation (CV)2.4599855
Kurtosis22.93815
Mean37.633333
Median Absolute Deviation (MAD)9.5
Skewness4.6123506
Sum1129
Variance8570.5851
MonotonicityNot monotonic
2023-12-12T10:57:20.356030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3
 
10.0%
3 3
 
10.0%
4 3
 
10.0%
2 2
 
6.7%
17 2
 
6.7%
8 2
 
6.7%
21 1
 
3.3%
51 1
 
3.3%
76 1
 
3.3%
16 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
2 2
6.7%
3 3
10.0%
4 3
10.0%
5 1
 
3.3%
8 2
6.7%
15 1
 
3.3%
16 1
 
3.3%
17 2
6.7%
ValueCountFrequency (%)
499 1
3.3%
151 1
3.3%
76 1
3.3%
60 1
3.3%
51 1
3.3%
43 1
3.3%
41 1
3.3%
33 1
3.3%
24 1
3.3%
21 1
3.3%

2012년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.8
Minimum0
Maximum461
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:20.493738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median11.5
Q328
95-th percentile130.3
Maximum461
Range461
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation87.38634
Coefficient of variation (CV)2.3118079
Kurtosis20.232977
Mean37.8
Median Absolute Deviation (MAD)10.5
Skewness4.2896668
Sum1134
Variance7636.3724
MonotonicityNot monotonic
2023-12-12T10:57:20.652171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5
16.7%
3 2
 
6.7%
19 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
2 1
 
3.3%
64 1
 
3.3%
67 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 5
16.7%
1 2
 
6.7%
2 1
 
3.3%
3 2
 
6.7%
4 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
461 1
3.3%
169 1
3.3%
83 1
3.3%
67 1
3.3%
64 1
3.3%
52 1
3.3%
41 1
3.3%
30 1
3.3%
22 1
3.3%
21 1
3.3%

2013년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.333333
Minimum0
Maximum516
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:20.797663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q11.25
median8.5
Q322
95-th percentile115.2
Maximum516
Range516
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation95.508921
Coefficient of variation (CV)2.6286859
Kurtosis23.730394
Mean36.333333
Median Absolute Deviation (MAD)7.5
Skewness4.7096625
Sum1090
Variance9121.954
MonotonicityNot monotonic
2023-12-12T10:57:20.953175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 6
20.0%
6 4
13.3%
4 2
 
6.7%
19 2
 
6.7%
17 2
 
6.7%
0 2
 
6.7%
2 1
 
3.3%
27 1
 
3.3%
54 1
 
3.3%
14 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 2
 
6.7%
1 6
20.0%
2 1
 
3.3%
4 2
 
6.7%
6 4
13.3%
11 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
17 2
 
6.7%
19 2
 
6.7%
ValueCountFrequency (%)
516 1
3.3%
144 1
3.3%
80 1
3.3%
55 1
3.3%
54 1
3.3%
39 1
3.3%
27 1
3.3%
23 1
3.3%
19 2
6.7%
17 2
6.7%

2014년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.066667
Minimum0
Maximum434
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:21.107386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.25
median10
Q325.5
95-th percentile102
Maximum434
Range434
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation80.345776
Coefficient of variation (CV)2.4298118
Kurtosis23.066518
Mean33.066667
Median Absolute Deviation (MAD)8.5
Skewness4.6276474
Sum992
Variance6455.4437
MonotonicityNot monotonic
2023-12-12T10:57:21.303675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 3
 
10.0%
1 3
 
10.0%
7 2
 
6.7%
4 2
 
6.7%
10 2
 
6.7%
26 1
 
3.3%
0 1
 
3.3%
69 1
 
3.3%
21 1
 
3.3%
59 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 1
 
3.3%
1 3
10.0%
2 3
10.0%
3 1
 
3.3%
4 2
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 2
6.7%
10 2
6.7%
12 1
 
3.3%
ValueCountFrequency (%)
434 1
3.3%
129 1
3.3%
69 1
3.3%
59 1
3.3%
42 1
3.3%
33 1
3.3%
29 1
3.3%
26 1
3.3%
24 1
3.3%
21 1
3.3%

2015년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.833333
Minimum0
Maximum437
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:21.466129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q323.25
95-th percentile97.75
Maximum437
Range437
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation81.268853
Coefficient of variation (CV)2.5529483
Kurtosis22.963228
Mean31.833333
Median Absolute Deviation (MAD)7
Skewness4.6103843
Sum955
Variance6604.6264
MonotonicityNot monotonic
2023-12-12T10:57:21.598783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 5
16.7%
0 4
13.3%
3 3
 
10.0%
7 2
 
6.7%
4 2
 
6.7%
33 1
 
3.3%
61 1
 
3.3%
14 1
 
3.3%
10 1
 
3.3%
62 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 4
13.3%
1 5
16.7%
3 3
10.0%
4 2
 
6.7%
7 2
 
6.7%
10 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
437 1
3.3%
127 1
3.3%
62 1
3.3%
61 1
3.3%
54 1
3.3%
35 1
3.3%
33 1
3.3%
25 1
3.3%
18 1
3.3%
17 1
3.3%

2016년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.3
Minimum0
Maximum499
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:21.736594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q320.75
95-th percentile83.85
Maximum499
Range499
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation91.199724
Coefficient of variation (CV)2.8235209
Kurtosis25.778726
Mean32.3
Median Absolute Deviation (MAD)8
Skewness4.9483644
Sum969
Variance8317.3897
MonotonicityNot monotonic
2023-12-12T10:57:21.879817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 6
20.0%
2 4
13.3%
11 3
 
10.0%
9 3
 
10.0%
499 1
 
3.3%
48 1
 
3.3%
13 1
 
3.3%
57 1
 
3.3%
3 1
 
3.3%
58 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 6
20.0%
1 1
 
3.3%
2 4
13.3%
3 1
 
3.3%
4 1
 
3.3%
9 3
10.0%
11 3
10.0%
13 1
 
3.3%
16 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
499 1
3.3%
105 1
3.3%
58 1
3.3%
57 1
3.3%
48 1
3.3%
33 1
3.3%
25 1
3.3%
22 1
3.3%
17 1
3.3%
16 1
3.3%

2017년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.133333
Minimum0
Maximum506
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:22.045857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median8.5
Q319.75
95-th percentile83.35
Maximum506
Range506
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation92.181879
Coefficient of variation (CV)2.8687307
Kurtosis26.311734
Mean32.133333
Median Absolute Deviation (MAD)6.5
Skewness5.0206889
Sum964
Variance8497.4989
MonotonicityNot monotonic
2023-12-12T10:57:22.212630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
13 4
 
13.3%
1 3
 
10.0%
4 3
 
10.0%
2 3
 
10.0%
3 2
 
6.7%
29 1
 
3.3%
0 1
 
3.3%
42 1
 
3.3%
19 1
 
3.3%
52 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 1
 
3.3%
1 3
10.0%
2 3
10.0%
3 2
6.7%
4 3
10.0%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
13 4
13.3%
ValueCountFrequency (%)
506 1
3.3%
109 1
3.3%
52 1
3.3%
42 1
3.3%
41 1
3.3%
29 1
3.3%
22 1
3.3%
20 1
3.3%
19 1
3.3%
17 1
3.3%

2018년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.366667
Minimum0
Maximum485
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:22.375507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q317.75
95-th percentile90.2
Maximum485
Range485
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation88.755955
Coefficient of variation (CV)2.7422025
Kurtosis25.38906
Mean32.366667
Median Absolute Deviation (MAD)8.5
Skewness4.9041754
Sum971
Variance7877.6195
MonotonicityNot monotonic
2023-12-12T10:57:22.533532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 4
13.3%
0 3
 
10.0%
10 3
 
10.0%
2 2
 
6.7%
11 2
 
6.7%
14 2
 
6.7%
12 2
 
6.7%
19 1
 
3.3%
29 1
 
3.3%
110 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 3
10.0%
1 4
13.3%
2 2
6.7%
3 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
10 3
10.0%
11 2
6.7%
12 2
6.7%
ValueCountFrequency (%)
485 1
3.3%
110 1
3.3%
66 1
3.3%
52 1
3.3%
46 1
3.3%
29 1
3.3%
28 1
3.3%
19 1
3.3%
14 2
6.7%
12 2
6.7%

2019년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum0
Maximum428
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:22.714454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q11.5
median8
Q315
95-th percentile88.9
Maximum428
Range428
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation79.164059
Coefficient of variation (CV)2.7776863
Kurtosis24.272746
Mean28.5
Median Absolute Deviation (MAD)7
Skewness4.7909087
Sum855
Variance6266.9483
MonotonicityNot monotonic
2023-12-12T10:57:22.906688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 6
20.0%
12 2
 
6.7%
8 2
 
6.7%
0 2
 
6.7%
9 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
16 1
 
3.3%
7 1
 
3.3%
46 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 2
 
6.7%
1 6
20.0%
3 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
8 2
 
6.7%
9 2
 
6.7%
10 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
428 1
3.3%
124 1
3.3%
46 1
3.3%
43 1
3.3%
31 1
3.3%
28 1
3.3%
25 1
3.3%
16 1
3.3%
12 2
6.7%
11 1
3.3%

2020년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.4
Minimum0
Maximum458
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:23.065697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12
median8
Q317
95-th percentile78
Maximum458
Range458
Interquartile range (IQR)15

Descriptive statistics

Standard deviation83.668311
Coefficient of variation (CV)2.8458609
Kurtosis25.908241
Mean29.4
Median Absolute Deviation (MAD)7
Skewness4.9733972
Sum882
Variance7000.3862
MonotonicityNot monotonic
2023-12-12T10:57:23.216004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 4
 
13.3%
2 3
 
10.0%
0 2
 
6.7%
10 2
 
6.7%
16 2
 
6.7%
17 2
 
6.7%
6 2
 
6.7%
23 1
 
3.3%
5 1
 
3.3%
105 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 2
6.7%
1 4
13.3%
2 3
10.0%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 2
6.7%
7 1
 
3.3%
9 1
 
3.3%
10 2
6.7%
ValueCountFrequency (%)
458 1
3.3%
105 1
3.3%
45 1
3.3%
44 1
3.3%
40 1
3.3%
23 1
3.3%
19 1
3.3%
17 2
6.7%
16 2
6.7%
12 1
3.3%

2021년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.6
Minimum0
Maximum417
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:23.369620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median8
Q318
95-th percentile79.05
Maximum417
Range417
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation76.646794
Coefficient of variation (CV)2.7770578
Kurtosis24.969922
Mean27.6
Median Absolute Deviation (MAD)7
Skewness4.8568509
Sum828
Variance5874.731
MonotonicityNot monotonic
2023-12-12T10:57:23.504928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 5
16.7%
1 3
10.0%
8 3
10.0%
7 2
 
6.7%
2 2
 
6.7%
9 2
 
6.7%
12 2
 
6.7%
51 2
 
6.7%
3 2
 
6.7%
11 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 5
16.7%
1 3
10.0%
2 2
 
6.7%
3 2
 
6.7%
7 2
 
6.7%
8 3
10.0%
9 2
 
6.7%
11 1
 
3.3%
12 2
 
6.7%
20 1
 
3.3%
ValueCountFrequency (%)
417 1
3.3%
102 1
3.3%
51 2
6.7%
37 1
3.3%
25 1
3.3%
21 1
3.3%
20 1
3.3%
12 2
6.7%
11 1
3.3%
9 2
6.7%

2022년 사고사망자수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.133333
Minimum0
Maximum402
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:57:23.666273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12
median8.5
Q317.75
95-th percentile84.05
Maximum402
Range402
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation74.182781
Coefficient of variation (CV)2.5463197
Kurtosis23.778921
Mean29.133333
Median Absolute Deviation (MAD)7
Skewness4.6978095
Sum874
Variance5503.0851
MonotonicityNot monotonic
2023-12-12T10:57:23.815584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 5
16.7%
1 4
13.3%
7 3
 
10.0%
10 2
 
6.7%
11 2
 
6.7%
0 2
 
6.7%
69 1
 
3.3%
14 1
 
3.3%
3 1
 
3.3%
39 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 2
 
6.7%
1 4
13.3%
2 5
16.7%
3 1
 
3.3%
7 3
10.0%
10 2
 
6.7%
11 2
 
6.7%
12 1
 
3.3%
14 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
402 1
3.3%
89 1
3.3%
78 1
3.3%
69 1
3.3%
39 1
3.3%
31 1
3.3%
25 1
3.3%
18 1
3.3%
17 1
3.3%
14 1
3.3%

Sample

대업종구분2004년 사고사망자수2005년 사고사망자수2006년 사고사망자수2007년 사고사망자수2008년 사고사망자수2009년 사고사망자수2010년 사고사망자수2011년 사고사망자수2012년 사고사망자수2013년 사고사망자수2014년 사고사망자수2015년 사고사망자수2016년 사고사망자수2017년 사고사망자수2018년 사고사망자수2019년 사고사망자수2020년 사고사망자수2021년 사고사망자수2022년 사고사망자수
0금융및보험업금융및보험업3733113022202101001
1광 업석탄광업및채석업6124374476204615202
2광 업석회석·금속·비금속광업및기타광업2213101061488747411412126910
3제조업식료품제조업2025151626172217221916111181410121117
4제조업섬유및섬유제품제조업162311131689218111071613198577
5제조업목재및종이제품제조업172216131412211712151017119101210112
6제조업출판·인쇄·제본업3123230801131211211
7제조업화학및고무제품제조업44444934384446415239263533222928232531
8제조업의약품·화장품·연탄·석유제품제조업5732336501512220122
9제조업기계기구·금속·비금속광물제품제조업15416517318517515716715116914412912710510911012410510289
대업종구분2004년 사고사망자수2005년 사고사망자수2006년 사고사망자수2007년 사고사망자수2008년 사고사망자수2009년 사고사망자수2010년 사고사망자수2011년 사고사망자수2012년 사고사망자수2013년 사고사망자수2014년 사고사망자수2015년 사고사망자수2016년 사고사망자수2017년 사고사망자수2018년 사고사망자수2019년 사고사망자수2020년 사고사망자수2021년 사고사망자수2022년 사고사망자수
20어 업어업7211313311310313121
21농 업농업191066679311613735106797
22기타의사업시설관리및사업지원서비스업781006069677855608380596257526643445169
23기타의사업기타의각종사업35241923916211814147109131291087
24기타의사업해외파견자0200110131100100010
25기타의사업전문·보건·교육·여가관련서비스업151717279179161317211413191411172018
26기타의사업도소매·음식·숙박업70615346696762766754696148425246403739
27기타의사업부동산업및임대업4202004211210421133
28기타의사업국가및지방자치단체의사업000000000011013879314
29기타의사업주한미군0100000001000001100