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, 산업중분류별 사고재해자수 데이터 입니다.
URLhttps://www.data.go.kr/data/15084656/fileData.do

Alerts

구분 has unique valuesUnique
2005년 사고재해자수 has unique valuesUnique
2006년 사고재해자수 has unique valuesUnique
2007년 사고재해자수 has unique valuesUnique
2008년 사고재해자수 has unique valuesUnique
2009년 사고재해자수 has unique valuesUnique
2010년 사고재해자수 has unique valuesUnique
2011년 사고재해자수 has unique valuesUnique
2012년 사고재해자수 has unique valuesUnique
2013년 사고재해자수 has unique valuesUnique
2014년 사고재해자수 has unique valuesUnique
2016년 사고재해자수 has unique valuesUnique
2017년 사고재해자수 has unique valuesUnique
2018년 사고재해자수 has unique valuesUnique
2019년 사고재해자수 has unique valuesUnique
2020년 사고재해자수 has unique valuesUnique
2021년 사고재해자수 has unique valuesUnique
2022년 사고재해자수 has unique valuesUnique
2004년 사고재해자수 has 2 (6.7%) zerosZeros
2005년 사고재해자수 has 1 (3.3%) zerosZeros
2006년 사고재해자수 has 1 (3.3%) zerosZeros
2007년 사고재해자수 has 1 (3.3%) zerosZeros
2008년 사고재해자수 has 1 (3.3%) zerosZeros
2009년 사고재해자수 has 1 (3.3%) zerosZeros
2010년 사고재해자수 has 1 (3.3%) zerosZeros
2011년 사고재해자수 has 1 (3.3%) zerosZeros
2012년 사고재해자수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 06:26:07.804462
Analysis finished2023-12-12 06:26:08.071453
Duration0.27 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

2023-12-12T15:26:08.148838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:26:08.281846image/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
2023-12-12T15:26:08.590308image/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%
2023-12-12T15:26:09.080364image/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 사고재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2656.3667
Minimum0
Maximum18856
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:09.247839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q1176.5
median1266.5
Q32072.25
95-th percentile13217.35
Maximum18856
Range18856
Interquartile range (IQR)1895.75

Descriptive statistics

Standard deviation4622.8581
Coefficient of variation (CV)1.7402937
Kurtosis7.40247
Mean2656.3667
Median Absolute Deviation (MAD)1060.5
Skewness2.7623175
Sum79691
Variance21370817
MonotonicityNot monotonic
2023-12-12T15:26:09.421875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
468 1
 
3.3%
159 1
 
3.3%
128 1
 
3.3%
8346 1
 
3.3%
3277 1
 
3.3%
1 1
 
3.3%
1930 1
 
3.3%
7143 1
 
3.3%
357 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
84 1
3.3%
91 1
3.3%
112 1
3.3%
128 1
3.3%
159 1
3.3%
229 1
3.3%
260 1
3.3%
357 1
3.3%
ValueCountFrequency (%)
18856 1
3.3%
17203 1
3.3%
8346 1
3.3%
7143 1
3.3%
3444 1
3.3%
3277 1
3.3%
2350 1
3.3%
2085 1
3.3%
2034 1
3.3%
1991 1
3.3%

2005년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2597.2
Minimum0
Maximum16920
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:09.569144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.65
Q1169
median1309
Q32086
95-th percentile12854.85
Maximum16920
Range16920
Interquartile range (IQR)1917

Descriptive statistics

Standard deviation4322.7502
Coefficient of variation (CV)1.6643887
Kurtosis6.0013358
Mean2597.2
Median Absolute Deviation (MAD)1087.5
Skewness2.5296143
Sum77916
Variance18686169
MonotonicityNot monotonic
2023-12-12T15:26:09.765789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
480 1
 
3.3%
1970 1
 
3.3%
64 1
 
3.3%
0 1
 
3.3%
154 1
 
3.3%
9067 1
 
3.3%
3704 1
 
3.3%
7 1
 
3.3%
1812 1
 
3.3%
7780 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
7 1
3.3%
44 1
3.3%
64 1
3.3%
102 1
3.3%
108 1
3.3%
109 1
3.3%
154 1
3.3%
214 1
3.3%
229 1
3.3%
ValueCountFrequency (%)
16920 1
3.3%
15954 1
3.3%
9067 1
3.3%
7780 1
3.3%
3704 1
3.3%
3451 1
3.3%
2136 1
3.3%
2099 1
3.3%
2047 1
3.3%
1988 1
3.3%

2006년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2655.8333
Minimum0
Maximum17577
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:09.955821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.35
Q1175.5
median1279
Q32093.5
95-th percentile13439
Maximum17577
Range17577
Interquartile range (IQR)1918

Descriptive statistics

Standard deviation4479.0386
Coefficient of variation (CV)1.6864908
Kurtosis6.0747577
Mean2655.8333
Median Absolute Deviation (MAD)1062
Skewness2.5495894
Sum79675
Variance20061787
MonotonicityNot monotonic
2023-12-12T15:26:10.126878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
487 1
 
3.3%
2089 1
 
3.3%
59 1
 
3.3%
0 1
 
3.3%
165 1
 
3.3%
9776 1
 
3.3%
4045 1
 
3.3%
9 1
 
3.3%
1959 1
 
3.3%
7537 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
9 1
3.3%
52 1
3.3%
59 1
3.3%
74 1
3.3%
100 1
3.3%
101 1
3.3%
165 1
3.3%
207 1
3.3%
227 1
3.3%
ValueCountFrequency (%)
17577 1
3.3%
16436 1
3.3%
9776 1
3.3%
7537 1
3.3%
4045 1
3.3%
3231 1
3.3%
2107 1
3.3%
2095 1
3.3%
2089 1
3.3%
2044 1
3.3%

2007년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2622.5
Minimum0
Maximum18419
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:10.280905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.9
Q1168
median1254.5
Q31948.75
95-th percentile13284.6
Maximum18419
Range18419
Interquartile range (IQR)1780.75

Descriptive statistics

Standard deviation4534.7357
Coefficient of variation (CV)1.7291652
Kurtosis6.2342489
Mean2622.5
Median Absolute Deviation (MAD)1071
Skewness2.5755569
Sum78675
Variance20563828
MonotonicityNot monotonic
2023-12-12T15:26:10.480930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
443 1
 
3.3%
2000 1
 
3.3%
52 1
 
3.3%
0 1
 
3.3%
163 1
 
3.3%
10451 1
 
3.3%
4153 1
 
3.3%
10 1
 
3.3%
1966 1
 
3.3%
7313 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
10 1
3.3%
52 1
3.3%
57 1
3.3%
74 1
3.3%
107 1
3.3%
109 1
3.3%
163 1
3.3%
183 1
3.3%
184 1
3.3%
ValueCountFrequency (%)
18419 1
3.3%
15603 1
3.3%
10451 1
3.3%
7313 1
3.3%
4153 1
3.3%
3055 1
3.3%
2000 1
3.3%
1966 1
3.3%
1897 1
3.3%
1894 1
3.3%

2008년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2869.0667
Minimum0
Maximum20088
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:10.944868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.55
Q1154.5
median1424
Q32064.75
95-th percentile14551.6
Maximum20088
Range20088
Interquartile range (IQR)1910.25

Descriptive statistics

Standard deviation4950.1792
Coefficient of variation (CV)1.7253622
Kurtosis6.0230386
Mean2869.0667
Median Absolute Deviation (MAD)1226.5
Skewness2.5424641
Sum86072
Variance24504275
MonotonicityNot monotonic
2023-12-12T15:26:11.090122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
476 1
 
3.3%
2078 1
 
3.3%
60 1
 
3.3%
0 1
 
3.3%
142 1
 
3.3%
11960 1
 
3.3%
4665 1
 
3.3%
21 1
 
3.3%
2025 1
 
3.3%
8028 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
21 1
3.3%
60 1
3.3%
61 1
3.3%
67 1
3.3%
87 1
3.3%
88 1
3.3%
142 1
3.3%
192 1
3.3%
203 1
3.3%
ValueCountFrequency (%)
20088 1
3.3%
16672 1
3.3%
11960 1
3.3%
8028 1
3.3%
4665 1
3.3%
3257 1
3.3%
2137 1
3.3%
2078 1
3.3%
2025 1
3.3%
2019 1
3.3%

2009년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2970
Minimum0
Maximum20267
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:11.233845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.7
Q1162.5
median1419
Q32200.25
95-th percentile14106.7
Maximum20267
Range20267
Interquartile range (IQR)2037.75

Descriptive statistics

Standard deviation4981.5856
Coefficient of variation (CV)1.6773016
Kurtosis5.2106524
Mean2970
Median Absolute Deviation (MAD)1255
Skewness2.3853605
Sum89100
Variance24816195
MonotonicityNot monotonic
2023-12-12T15:26:11.413783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
422 1
 
3.3%
1905 1
 
3.3%
49 1
 
3.3%
0 1
 
3.3%
167 1
 
3.3%
12977 1
 
3.3%
5227 1
 
3.3%
23 1
 
3.3%
2226 1
 
3.3%
10047 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
23 1
3.3%
49 1
3.3%
59 1
3.3%
65 1
3.3%
87 1
3.3%
99 1
3.3%
161 1
3.3%
167 1
3.3%
215 1
3.3%
ValueCountFrequency (%)
20267 1
3.3%
15031 1
3.3%
12977 1
3.3%
10047 1
3.3%
5227 1
3.3%
3120 1
3.3%
2921 1
3.3%
2226 1
3.3%
2123 1
3.3%
2087 1
3.3%

2010년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3028.0667
Minimum0
Maximum21885
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:11.570840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31
Q1156.75
median1513
Q32247
95-th percentile14692.3
Maximum21885
Range21885
Interquartile range (IQR)2090.25

Descriptive statistics

Standard deviation5232.8793
Coefficient of variation (CV)1.7281255
Kurtosis6.1089203
Mean3028.0667
Median Absolute Deviation (MAD)1330
Skewness2.5271943
Sum90842
Variance27383026
MonotonicityNot monotonic
2023-12-12T15:26:11.714408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
431 1
 
3.3%
1974 1
 
3.3%
53 1
 
3.3%
0 1
 
3.3%
154 1
 
3.3%
13248 1
 
3.3%
5438 1
 
3.3%
13 1
 
3.3%
2421 1
 
3.3%
9172 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
13 1
3.3%
53 1
3.3%
63 1
3.3%
74 1
3.3%
76 1
3.3%
111 1
3.3%
154 1
3.3%
165 1
3.3%
201 1
3.3%
ValueCountFrequency (%)
21885 1
3.3%
15874 1
3.3%
13248 1
3.3%
9172 1
3.3%
5438 1
3.3%
3195 1
3.3%
2421 1
3.3%
2299 1
3.3%
2091 1
3.3%
1974 1
3.3%

2011년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2868.1667
Minimum0
Maximum22187
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:11.898352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.15
Q1157.5
median1348.5
Q31980.5
95-th percentile13896.95
Maximum22187
Range22187
Interquartile range (IQR)1823

Descriptive statistics

Standard deviation5120.0277
Coefficient of variation (CV)1.7851221
Kurtosis7.2645188
Mean2868.1667
Median Absolute Deviation (MAD)1148
Skewness2.6924082
Sum86045
Variance26214683
MonotonicityNot monotonic
2023-12-12T15:26:12.031339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
382 1
 
3.3%
1996 1
 
3.3%
49 1
 
3.3%
0 1
 
3.3%
218 1
 
3.3%
12341 1
 
3.3%
4941 1
 
3.3%
22 1
 
3.3%
1717 1
 
3.3%
8061 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
22 1
3.3%
49 1
3.3%
66 1
3.3%
69 1
3.3%
78 1
3.3%
96 1
3.3%
149 1
3.3%
183 1
3.3%
218 1
3.3%
ValueCountFrequency (%)
22187 1
3.3%
15170 1
3.3%
12341 1
3.3%
8061 1
3.3%
4941 1
3.3%
3363 1
3.3%
2008 1
3.3%
1996 1
3.3%
1934 1
3.3%
1802 1
3.3%

2012년 사고재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2826.1333
Minimum0
Maximum22679
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:12.195631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.9
Q1156.25
median1242
Q31880.75
95-th percentile13593
Maximum22679
Range22679
Interquartile range (IQR)1724.5

Descriptive statistics

Standard deviation5130.681
Coefficient of variation (CV)1.8154419
Kurtosis7.9802173
Mean2826.1333
Median Absolute Deviation (MAD)1035.5
Skewness2.7894519
Sum84784
Variance26323888
MonotonicityNot monotonic
2023-12-12T15:26:12.385932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
356 1
 
3.3%
1886 1
 
3.3%
40 1
 
3.3%
0 1
 
3.3%
223 1
 
3.3%
12020 1
 
3.3%
4939 1
 
3.3%
38 1
 
3.3%
1865 1
 
3.3%
7650 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
38 1
3.3%
40 1
3.3%
56 1
3.3%
68 1
3.3%
70 1
3.3%
85 1
3.3%
145 1
3.3%
190 1
3.3%
223 1
3.3%
ValueCountFrequency (%)
22679 1
3.3%
14880 1
3.3%
12020 1
3.3%
7650 1
3.3%
4939 1
3.3%
3144 1
3.3%
2068 1
3.3%
1886 1
3.3%
1865 1
3.3%
1779 1
3.3%

2013년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2806.5667
Minimum39
Maximum22892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:12.568383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile48.95
Q1153.75
median1132
Q31901.25
95-th percentile13188.1
Maximum22892
Range22853
Interquartile range (IQR)1747.5

Descriptive statistics

Standard deviation5125.572
Coefficient of variation (CV)1.8262784
Kurtosis8.169702
Mean2806.5667
Median Absolute Deviation (MAD)967
Skewness2.7983099
Sum84197
Variance26271489
MonotonicityNot monotonic
2023-12-12T15:26:12.742252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
317 1
 
3.3%
1842 1
 
3.3%
39 1
 
3.3%
156 1
 
3.3%
191 1
 
3.3%
12813 1
 
3.3%
5470 1
 
3.3%
44 1
 
3.3%
1469 1
 
3.3%
7852 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
39 1
3.3%
44 1
3.3%
55 1
3.3%
64 1
3.3%
69 1
3.3%
108 1
3.3%
134 1
3.3%
153 1
3.3%
156 1
3.3%
191 1
3.3%
ValueCountFrequency (%)
22892 1
3.3%
13495 1
3.3%
12813 1
3.3%
7852 1
3.3%
5470 1
3.3%
2930 1
3.3%
2090 1
3.3%
1921 1
3.3%
1842 1
3.3%
1805 1
3.3%

2014년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2774.3667
Minimum24
Maximum22935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:12.887671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile39.45
Q1145.75
median1200
Q31839.75
95-th percentile13308.95
Maximum22935
Range22911
Interquartile range (IQR)1694

Descriptive statistics

Standard deviation5126.784
Coefficient of variation (CV)1.8479115
Kurtosis8.3741861
Mean2774.3667
Median Absolute Deviation (MAD)1028.5
Skewness2.8370398
Sum83231
Variance26283914
MonotonicityNot monotonic
2023-12-12T15:26:13.070212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
288 1
 
3.3%
1860 1
 
3.3%
40 1
 
3.3%
192 1
 
3.3%
151 1
 
3.3%
13655 1
 
3.3%
5473 1
 
3.3%
39 1
 
3.3%
1378 1
 
3.3%
7052 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
24 1
3.3%
39 1
3.3%
40 1
3.3%
74 1
3.3%
91 1
3.3%
95 1
3.3%
127 1
3.3%
144 1
3.3%
151 1
3.3%
192 1
3.3%
ValueCountFrequency (%)
22935 1
3.3%
13655 1
3.3%
12886 1
3.3%
7052 1
3.3%
5473 1
3.3%
2888 1
3.3%
2089 1
3.3%
1860 1
3.3%
1779 1
3.3%
1676 1
3.3%

2015년 사고재해자수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2740.3333
Minimum32
Maximum24287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:13.233374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile41.65
Q1158.75
median1082.5
Q31808.5
95-th percentile13029.65
Maximum24287
Range24255
Interquartile range (IQR)1649.75

Descriptive statistics

Standard deviation5269.8918
Coefficient of variation (CV)1.9230842
Kurtosis9.8100151
Mean2740.3333
Median Absolute Deviation (MAD)917
Skewness3.0264988
Sum82210
Variance27771760
MonotonicityNot monotonic
2023-12-12T15:26:13.401556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
179 2
 
6.7%
258 1
 
3.3%
34 1
 
3.3%
32 1
 
3.3%
183 1
 
3.3%
13778 1
 
3.3%
5349 1
 
3.3%
51 1
 
3.3%
1230 1
 
3.3%
6688 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
32 1
3.3%
34 1
3.3%
51 1
3.3%
55 1
3.3%
74 1
3.3%
88 1
3.3%
111 1
3.3%
152 1
3.3%
179 2
6.7%
183 1
3.3%
ValueCountFrequency (%)
24287 1
3.3%
13778 1
3.3%
12115 1
3.3%
6688 1
3.3%
5349 1
3.3%
2594 1
3.3%
2033 1
3.3%
1831 1
3.3%
1741 1
3.3%
1593 1
3.3%

2016년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2759.3333
Minimum29
Maximum25701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:13.597486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile37.35
Q1161.75
median1111
Q31858.75
95-th percentile12884.95
Maximum25701
Range25672
Interquartile range (IQR)1697

Descriptive statistics

Standard deviation5447.911
Coefficient of variation (CV)1.9743577
Kurtosis11.108606
Mean2759.3333
Median Absolute Deviation (MAD)927.5
Skewness3.1929642
Sum82780
Variance29679734
MonotonicityNot monotonic
2023-12-12T15:26:13.751890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
254 1
 
3.3%
1639 1
 
3.3%
29 1
 
3.3%
185 1
 
3.3%
155 1
 
3.3%
14086 1
 
3.3%
5272 1
 
3.3%
36 1
 
3.3%
1305 1
 
3.3%
6442 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
29 1
3.3%
36 1
3.3%
39 1
3.3%
42 1
3.3%
73 1
3.3%
94 1
3.3%
124 1
3.3%
155 1
3.3%
182 1
3.3%
185 1
3.3%
ValueCountFrequency (%)
25701 1
3.3%
14086 1
3.3%
11417 1
3.3%
6442 1
3.3%
5272 1
3.3%
2696 1
3.3%
2031 1
3.3%
1932 1
3.3%
1639 1
3.3%
1472 1
3.3%

2017년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2688.8333
Minimum34
Maximum24718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:13.926238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile38.45
Q1150
median1012.5
Q32080.25
95-th percentile12701.35
Maximum24718
Range24684
Interquartile range (IQR)1930.25

Descriptive statistics

Standard deviation5248.3473
Coefficient of variation (CV)1.951905
Kurtosis11.06713
Mean2688.8333
Median Absolute Deviation (MAD)916
Skewness3.2009481
Sum80665
Variance27545150
MonotonicityNot monotonic
2023-12-12T15:26:14.079955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
236 1
 
3.3%
1667 1
 
3.3%
34 1
 
3.3%
2673 1
 
3.3%
168 1
 
3.3%
14023 1
 
3.3%
4500 1
 
3.3%
38 1
 
3.3%
1236 1
 
3.3%
5556 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
34 1
3.3%
38 1
3.3%
39 1
3.3%
56 1
3.3%
58 1
3.3%
74 1
3.3%
119 1
3.3%
144 1
3.3%
168 1
3.3%
171 1
3.3%
ValueCountFrequency (%)
24718 1
3.3%
14023 1
3.3%
11086 1
3.3%
5556 1
3.3%
4500 1
3.3%
2673 1
3.3%
2472 1
3.3%
2097 1
3.3%
2030 1
3.3%
1667 1
3.3%

2018년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3027.7333
Minimum19
Maximum26486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:14.210418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile29.35
Q1197.25
median984.5
Q32475.75
95-th percentile14245.65
Maximum26486
Range26467
Interquartile range (IQR)2278.5

Descriptive statistics

Standard deviation5752.3364
Coefficient of variation (CV)1.8998821
Kurtosis9.8928328
Mean3027.7333
Median Absolute Deviation (MAD)892.5
Skewness3.0423854
Sum90832
Variance33089374
MonotonicityNot monotonic
2023-12-12T15:26:14.345649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
301 1
 
3.3%
2068 1
 
3.3%
31 1
 
3.3%
3231 1
 
3.3%
195 1
 
3.3%
16389 1
 
3.3%
5635 1
 
3.3%
19 1
 
3.3%
1554 1
 
3.3%
7285 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
19 1
3.3%
28 1
3.3%
31 1
3.3%
59 1
3.3%
88 1
3.3%
96 1
3.3%
167 1
3.3%
195 1
3.3%
204 1
3.3%
225 1
3.3%
ValueCountFrequency (%)
26486 1
3.3%
16389 1
3.3%
11626 1
3.3%
7285 1
3.3%
5635 1
3.3%
3231 1
3.3%
2654 1
3.3%
2505 1
3.3%
2388 1
3.3%
2068 1
3.3%

2019년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3134.9
Minimum27
Maximum25298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:14.486445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile36.55
Q1205.5
median973
Q32665.75
95-th percentile15127.7
Maximum25298
Range25271
Interquartile range (IQR)2460.25

Descriptive statistics

Standard deviation5732.9569
Coefficient of variation (CV)1.8287527
Kurtosis8.2493892
Mean3134.9
Median Absolute Deviation (MAD)871.5
Skewness2.8312681
Sum94047
Variance32866795
MonotonicityNot monotonic
2023-12-12T15:26:14.635175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
337 1
 
3.3%
2123 1
 
3.3%
47 1
 
3.3%
3798 1
 
3.3%
228 1
 
3.3%
17816 1
 
3.3%
6220 1
 
3.3%
27 1
 
3.3%
1633 1
 
3.3%
7570 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
27 1
3.3%
28 1
3.3%
47 1
3.3%
58 1
3.3%
97 1
3.3%
106 1
3.3%
158 1
3.3%
198 1
3.3%
228 1
3.3%
256 1
3.3%
ValueCountFrequency (%)
25298 1
3.3%
17816 1
3.3%
11842 1
3.3%
7570 1
3.3%
6220 1
3.3%
3798 1
3.3%
3143 1
3.3%
2675 1
3.3%
2638 1
3.3%
2123 1
3.3%

2020년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3079.4333
Minimum13
Maximum24617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:14.771404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile23.75
Q1207.75
median1014
Q32604.75
95-th percentile14379.7
Maximum24617
Range24604
Interquartile range (IQR)2397

Descriptive statistics

Standard deviation5534.4641
Coefficient of variation (CV)1.7972346
Kurtosis8.2899537
Mean3079.4333
Median Absolute Deviation (MAD)925.5
Skewness2.8116053
Sum92383
Variance30630293
MonotonicityNot monotonic
2023-12-12T15:26:14.901644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
258 1
 
3.3%
2024 1
 
3.3%
32 1
 
3.3%
4073 1
 
3.3%
213 1
 
3.3%
16834 1
 
3.3%
6006 1
 
3.3%
13 1
 
3.3%
1454 1
 
3.3%
7383 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
13 1
3.3%
17 1
3.3%
32 1
3.3%
44 1
3.3%
87 1
3.3%
90 1
3.3%
124 1
3.3%
206 1
3.3%
213 1
3.3%
252 1
3.3%
ValueCountFrequency (%)
24617 1
3.3%
16834 1
3.3%
11380 1
3.3%
7383 1
3.3%
6006 1
3.3%
4274 1
3.3%
4073 1
3.3%
2621 1
3.3%
2556 1
3.3%
2024 1
3.3%

2021년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3409.2667
Minimum16
Maximum26888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:15.028286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile23.75
Q1216
median1019
Q32936.75
95-th percentile15327.05
Maximum26888
Range26872
Interquartile range (IQR)2720.75

Descriptive statistics

Standard deviation6050.607
Coefficient of variation (CV)1.7747532
Kurtosis8.1301371
Mean3409.2667
Median Absolute Deviation (MAD)910
Skewness2.7654162
Sum102278
Variance36609845
MonotonicityNot monotonic
2023-12-12T15:26:15.168668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
297 1
 
3.3%
2369 1
 
3.3%
32 1
 
3.3%
4230 1
 
3.3%
210 1
 
3.3%
18500 1
 
3.3%
7255 1
 
3.3%
16 1
 
3.3%
1440 1
 
3.3%
8150 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
16 1
3.3%
17 1
3.3%
32 1
3.3%
67 1
3.3%
102 1
3.3%
116 1
3.3%
156 1
3.3%
210 1
3.3%
234 1
3.3%
239 1
3.3%
ValueCountFrequency (%)
26888 1
3.3%
18500 1
3.3%
11449 1
3.3%
8150 1
3.3%
7255 1
3.3%
6545 1
3.3%
4230 1
3.3%
2977 1
3.3%
2816 1
3.3%
2369 1
3.3%

2022년 사고재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3573.8
Minimum15
Maximum27432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T15:26:15.333161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile32.35
Q1227
median966
Q32955
95-th percentile15254.75
Maximum27432
Range27417
Interquartile range (IQR)2728

Descriptive statistics

Standard deviation6210.4096
Coefficient of variation (CV)1.7377608
Kurtosis7.6091198
Mean3573.8
Median Absolute Deviation (MAD)850
Skewness2.6639871
Sum107214
Variance38569188
MonotonicityNot monotonic
2023-12-12T15:26:15.517720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
465 1
 
3.3%
2724 1
 
3.3%
45 1
 
3.3%
4424 1
 
3.3%
263 1
 
3.3%
18749 1
 
3.3%
8403 1
 
3.3%
15 1
 
3.3%
1465 1
 
3.3%
8725 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
15 1
3.3%
22 1
3.3%
45 1
3.3%
56 1
3.3%
105 1
3.3%
127 1
3.3%
164 1
3.3%
215 1
3.3%
263 1
3.3%
306 1
3.3%
ValueCountFrequency (%)
27432 1
3.3%
18749 1
3.3%
10984 1
3.3%
8725 1
3.3%
8652 1
3.3%
8403 1
3.3%
4424 1
3.3%
3032 1
3.3%
2724 1
3.3%
2635 1
3.3%

Sample

대업종구분2004년 사고재해자수2005년 사고재해자수2006년 사고재해자수2007년 사고재해자수2008년 사고재해자수2009년 사고재해자수2010년 사고재해자수2011년 사고재해자수2012년 사고재해자수2013년 사고재해자수2014년 사고재해자수2015년 사고재해자수2016년 사고재해자수2017년 사고재해자수2018년 사고재해자수2019년 사고재해자수2020년 사고재해자수2021년 사고재해자수2022년 사고재해자수
0금융및보험업금융및보험업468480487443476422431382356317288258254236301337258297465
1광 업석탄광업및채석업159108101109888774696864243442392828171722
2광 업석회석·금속·비금속광업및기타광업260229207184192161165149145134127111124119167158124116127
3제조업식료품제조업1991209921071897213720872299200820682090208920332031203023882638262129773032
4제조업섬유및섬유제품제조업17811587144512511232120412851186109910381051935972878951922853906926
5제조업목재및종이제품제조업2085204720441889201918891938180216741575163615451472136414531451133914571349
6제조업출판·인쇄·제본업637652655572609614592526508467433403405343399384386356360
7제조업화학및고무제품제조업3444345132313055325731203195336331442930288825942696247226542675255628162635
8제조업의약품·화장품·연탄·석유제품제조업229214227183203215201183190153144152182171225256252239306
9제조업기계기구·금속·비금속광물제품제조업17203169201643615603166721503115874151701488013495128861211511417110861162611842113801144910984
대업종구분2004년 사고재해자수2005년 사고재해자수2006년 사고재해자수2007년 사고재해자수2008년 사고재해자수2009년 사고재해자수2010년 사고재해자수2011년 사고재해자수2012년 사고재해자수2013년 사고재해자수2014년 사고재해자수2015년 사고재해자수2016년 사고재해자수2017년 사고재해자수2018년 사고재해자수2019년 사고재해자수2020년 사고재해자수2021년 사고재해자수2022년 사고재해자수
20어 업어업84445257675963665655745539565958446756
21농 업농업357387442394489575618535563598595619701529603599593630635
22기타의사업시설관리및사업지원서비스업71437780753773138028100479172806176507852705266886442555672857570738381508725
23기타의사업기타의각종사업1930181219591966202522262421171718651469137812301305123615541633145414401465
24기타의사업해외파견자17910212313223844395136381927131615
25기타의사업전문·보건·교육·여가관련서비스업3277370440454153466552275438494149395470547353495272450056356220600672558403
26기타의사업도소매·음식·숙박업83469067977610451119601297713248123411202012813136551377814086140231638917816168341850018749
27기타의사업부동산업및임대업128154165163142167154218223191151183155168195228213210263
28기타의사업국가및지방자치단체의사업000000000156192179185267332313798407342304424
29기타의사업주한미군0645952604953494039403229343147323245