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 산업안전에 대한 통계자료로 연도별, 산업중분류별 질병재해자수 산업재해현황분석데이터입니다.
URLhttps://www.data.go.kr/data/15064269/fileData.do

Alerts

구분 has unique valuesUnique
2007년 질병재해자수 has unique valuesUnique
2016년 질병재해자수 has unique valuesUnique
2019년 질병재해자수 has unique valuesUnique
2020년 질병재해자수 has unique valuesUnique
2022년 질병재해자수 has unique valuesUnique
2004년 질병재해자수 has 2 (6.7%) zerosZeros
2005년 질병재해자수 has 1 (3.3%) zerosZeros
2006년 질병재해자수 has 1 (3.3%) zerosZeros
2007년 질병재해자수 has 1 (3.3%) zerosZeros
2008년 질병재해자수 has 1 (3.3%) zerosZeros
2009년 질병재해자수 has 2 (6.7%) zerosZeros
2010년 질병재해자수 has 1 (3.3%) zerosZeros
2011년 질병재해자수 has 2 (6.7%) zerosZeros
2012년 질병재해자수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 01:46:40.050446
Analysis finished2023-12-12 01:46:40.294382
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

2023-12-12T10:46:40.371500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:46:40.523325image/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
2023-12-12T10:46:40.760540image/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%
2023-12-12T10:46:41.149346image/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 질병재해자수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.1
Minimum0
Maximum2458
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:41.297683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q119
median119.5
Q3356.5
95-th percentile1264.8
Maximum2458
Range2458
Interquartile range (IQR)337.5

Descriptive statistics

Standard deviation533.02082
Coefficient of variation (CV)1.741329
Kurtosis10.063915
Mean306.1
Median Absolute Deviation (MAD)104.5
Skewness3.059474
Sum9183
Variance284111.2
MonotonicityNot monotonic
2023-12-12T10:46:41.439606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 2
 
6.7%
19 2
 
6.7%
106 1
 
3.3%
376 1
 
3.3%
500 1
 
3.3%
392 1
 
3.3%
2 1
 
3.3%
194 1
 
3.3%
657 1
 
3.3%
18 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
2 1
3.3%
6 1
3.3%
13 1
3.3%
17 1
3.3%
18 1
3.3%
19 2
6.7%
34 1
3.3%
40 1
3.3%
45 1
3.3%
ValueCountFrequency (%)
2458 1
3.3%
1713 1
3.3%
717 1
3.3%
657 1
3.3%
500 1
3.3%
499 1
3.3%
392 1
3.3%
376 1
3.3%
298 1
3.3%
289 1
3.3%

2005년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.83333
Minimum0
Maximum1747
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:41.561204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q117.5
median88.5
Q3271.75
95-th percentile1233.55
Maximum1747
Range1747
Interquartile range (IQR)254.25

Descriptive statistics

Standard deviation437.34608
Coefficient of variation (CV)1.7505513
Kurtosis8.2495732
Mean249.83333
Median Absolute Deviation (MAD)82
Skewness2.8898465
Sum7495
Variance191271.59
MonotonicityNot monotonic
2023-12-12T10:46:41.688760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
114 2
 
6.7%
69 1
 
3.3%
205 1
 
3.3%
1 1
 
3.3%
0 1
 
3.3%
13 1
 
3.3%
451 1
 
3.3%
319 1
 
3.3%
4 1
 
3.3%
173 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
3 1
3.3%
4 1
3.3%
9 1
3.3%
13 1
3.3%
14 1
3.3%
17 1
3.3%
19 1
3.3%
24 1
3.3%
ValueCountFrequency (%)
1747 1
3.3%
1738 1
3.3%
617 1
3.3%
484 1
3.3%
451 1
3.3%
389 1
3.3%
319 1
3.3%
294 1
3.3%
205 1
3.3%
202 1
3.3%

2006년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.16667
Minimum0
Maximum2222
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:41.826207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.8
Q132
median153
Q3403
95-th percentile1273.3
Maximum2222
Range2222
Interquartile range (IQR)371

Descriptive statistics

Standard deviation498.13639
Coefficient of variation (CV)1.4600969
Kurtosis6.5525687
Mean341.16667
Median Absolute Deviation (MAD)130.5
Skewness2.4178472
Sum10235
Variance248139.87
MonotonicityNot monotonic
2023-12-12T10:46:41.956625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
41 2
 
6.7%
124 1
 
3.3%
1402 1
 
3.3%
8 1
 
3.3%
0 1
 
3.3%
26 1
 
3.3%
1116 1
 
3.3%
590 1
 
3.3%
3 1
 
3.3%
224 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
3 1
3.3%
7 1
3.3%
8 1
3.3%
22 1
3.3%
23 1
3.3%
26 1
3.3%
29 1
3.3%
41 2
6.7%
43 1
3.3%
ValueCountFrequency (%)
2222 1
3.3%
1402 1
3.3%
1116 1
3.3%
832 1
3.3%
723 1
3.3%
590 1
3.3%
556 1
3.3%
422 1
3.3%
346 1
3.3%
315 1
3.3%

2007년 질병재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.4
Minimum0
Maximum2526
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:42.095877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.35
Q140.5
median164.5
Q3433.75
95-th percentile1368.6
Maximum2526
Range2526
Interquartile range (IQR)393.25

Descriptive statistics

Standard deviation566.33392
Coefficient of variation (CV)1.4809987
Kurtosis6.4661929
Mean382.4
Median Absolute Deviation (MAD)149
Skewness2.3922527
Sum11472
Variance320734.11
MonotonicityNot monotonic
2023-12-12T10:46:42.236752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
101 1
 
3.3%
295 1
 
3.3%
7 1
 
3.3%
0 1
 
3.3%
18 1
 
3.3%
1536 1
 
3.3%
760 1
 
3.3%
4 1
 
3.3%
347 1
 
3.3%
1022 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
4 1
3.3%
7 1
3.3%
9 1
3.3%
14 1
3.3%
17 1
3.3%
18 1
3.3%
38 1
3.3%
48 1
3.3%
50 1
3.3%
ValueCountFrequency (%)
2526 1
3.3%
1536 1
3.3%
1164 1
3.3%
1022 1
3.3%
966 1
3.3%
760 1
3.3%
502 1
3.3%
459 1
3.3%
358 1
3.3%
347 1
3.3%

2008년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.46667
Minimum0
Maximum2220
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:42.382148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q133.5
median130
Q3360.25
95-th percentile1178.2
Maximum2220
Range2220
Interquartile range (IQR)326.75

Descriptive statistics

Standard deviation492.91775
Coefficient of variation (CV)1.519163
Kurtosis7.1685648
Mean324.46667
Median Absolute Deviation (MAD)115
Skewness2.5206681
Sum9734
Variance242967.91
MonotonicityNot monotonic
2023-12-12T10:46:42.583980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
12 2
 
6.7%
84 1
 
3.3%
201 1
 
3.3%
8 1
 
3.3%
0 1
 
3.3%
26 1
 
3.3%
1405 1
 
3.3%
749 1
 
3.3%
1 1
 
3.3%
242 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
3 1
3.3%
8 1
3.3%
12 2
6.7%
26 1
3.3%
32 1
3.3%
38 1
3.3%
45 1
3.3%
55 1
3.3%
ValueCountFrequency (%)
2220 1
3.3%
1405 1
3.3%
901 1
3.3%
828 1
3.3%
749 1
3.3%
747 1
3.3%
408 1
3.3%
375 1
3.3%
316 1
3.3%
242 1
3.3%

2009년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.7
Minimum0
Maximum1700
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:42.741026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q135
median127
Q3274
95-th percentile1141.45
Maximum1700
Range1700
Interquartile range (IQR)239

Descriptive statistics

Standard deviation420.4036
Coefficient of variation (CV)1.4461768
Kurtosis3.9397568
Mean290.7
Median Absolute Deviation (MAD)105.5
Skewness2.0575085
Sum8721
Variance176739.18
MonotonicityNot monotonic
2023-12-12T10:46:42.927104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
62 1
 
3.3%
767 1
 
3.3%
3 1
 
3.3%
11 1
 
3.3%
1294 1
 
3.3%
761 1
 
3.3%
221 1
 
3.3%
955 1
 
3.3%
45 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
3 1
3.3%
7 1
3.3%
10 1
3.3%
11 1
3.3%
15 1
3.3%
34 1
3.3%
38 1
3.3%
45 1
3.3%
62 1
3.3%
ValueCountFrequency (%)
1700 1
3.3%
1294 1
3.3%
955 1
3.3%
767 1
3.3%
761 1
3.3%
731 1
3.3%
329 1
3.3%
290 1
3.3%
226 1
3.3%
221 1
3.3%

2010년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.1
Minimum0
Maximum1647
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:43.096370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.45
Q122.5
median119
Q3267.75
95-th percentile974.25
Maximum1647
Range1647
Interquartile range (IQR)245.25

Descriptive statistics

Standard deviation383.0053
Coefficient of variation (CV)1.4725309
Kurtosis5.4610884
Mean260.1
Median Absolute Deviation (MAD)98.5
Skewness2.2672897
Sum7803
Variance146693.06
MonotonicityNot monotonic
2023-12-12T10:46:43.252823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
58 2
 
6.7%
779 1
 
3.3%
3 1
 
3.3%
0 1
 
3.3%
21 1
 
3.3%
1134 1
 
3.3%
660 1
 
3.3%
2 1
 
3.3%
212 1
 
3.3%
639 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
2 1
3.3%
3 1
3.3%
7 1
3.3%
9 1
3.3%
14 1
3.3%
20 1
3.3%
21 1
3.3%
27 1
3.3%
31 1
3.3%
ValueCountFrequency (%)
1647 1
3.3%
1134 1
3.3%
779 1
3.3%
660 1
3.3%
639 1
3.3%
619 1
3.3%
362 1
3.3%
285 1
3.3%
216 1
3.3%
212 1
3.3%

2011년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.56667
Minimum0
Maximum1525
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:43.417549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q128.5
median104.5
Q3282
95-th percentile906.9
Maximum1525
Range1525
Interquartile range (IQR)253.5

Descriptive statistics

Standard deviation355.41522
Coefficient of variation (CV)1.4712925
Kurtosis5.2005706
Mean241.56667
Median Absolute Deviation (MAD)92
Skewness2.2219655
Sum7247
Variance126319.98
MonotonicityNot monotonic
2023-12-12T10:46:43.610554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 2
 
6.7%
0 2
 
6.7%
595 1
 
3.3%
13 1
 
3.3%
987 1
 
3.3%
652 1
 
3.3%
178 1
 
3.3%
549 1
 
3.3%
40 1
 
3.3%
11 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
8 2
6.7%
11 1
3.3%
12 1
3.3%
13 1
3.3%
26 1
3.3%
36 1
3.3%
40 1
3.3%
46 1
3.3%
47 1
3.3%
ValueCountFrequency (%)
1525 1
3.3%
987 1
3.3%
809 1
3.3%
652 1
3.3%
595 1
3.3%
549 1
3.3%
309 1
3.3%
307 1
3.3%
207 1
3.3%
178 1
3.3%

2012년 질병재해자수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.06667
Minimum0
Maximum1767
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:43.773240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q130
median106.5
Q3297.5
95-th percentile841.05
Maximum1767
Range1767
Interquartile range (IQR)267.5

Descriptive statistics

Standard deviation381.95784
Coefficient of variation (CV)1.5335566
Kurtosis8.0591496
Mean249.06667
Median Absolute Deviation (MAD)89
Skewness2.6110724
Sum7472
Variance145891.79
MonotonicityNot monotonic
2023-12-12T10:46:43.922811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37 2
 
6.7%
30 2
 
6.7%
6 2
 
6.7%
670 1
 
3.3%
0 1
 
3.3%
13 1
 
3.3%
981 1
 
3.3%
635 1
 
3.3%
9 1
 
3.3%
175 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 1
3.3%
6 2
6.7%
8 1
3.3%
9 1
3.3%
11 1
3.3%
13 1
3.3%
30 2
6.7%
37 2
6.7%
40 1
3.3%
63 1
3.3%
ValueCountFrequency (%)
1767 1
3.3%
981 1
3.3%
670 1
3.3%
635 1
3.3%
627 1
3.3%
565 1
3.3%
375 1
3.3%
333 1
3.3%
191 1
3.3%
175 1
3.3%

2013년 질병재해자수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254.23333
Minimum7
Maximum1739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:44.074414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q122.5
median110
Q3293
95-th percentile886.75
Maximum1739
Range1732
Interquartile range (IQR)270.5

Descriptive statistics

Standard deviation385.10461
Coefficient of variation (CV)1.5147684
Kurtosis7.0298576
Mean254.23333
Median Absolute Deviation (MAD)89.5
Skewness2.4733609
Sum7627
Variance148305.56
MonotonicityNot monotonic
2023-12-12T10:46:44.226736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8 3
 
10.0%
110 2
 
6.7%
46 1
 
3.3%
157 1
 
3.3%
10 1
 
3.3%
20 1
 
3.3%
12 1
 
3.3%
1033 1
 
3.3%
641 1
 
3.3%
179 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
7 1
 
3.3%
8 3
10.0%
10 1
 
3.3%
12 1
 
3.3%
20 1
 
3.3%
21 1
 
3.3%
27 1
 
3.3%
40 1
 
3.3%
41 1
 
3.3%
44 1
 
3.3%
ValueCountFrequency (%)
1739 1
3.3%
1033 1
3.3%
708 1
3.3%
666 1
3.3%
641 1
3.3%
589 1
3.3%
370 1
3.3%
331 1
3.3%
179 1
3.3%
177 1
3.3%

2014년 질병재해자수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.93333
Minimum6
Maximum1648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:44.742301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q121.5
median91.5
Q3300.5
95-th percentile1038.5
Maximum1648
Range1642
Interquartile range (IQR)279

Descriptive statistics

Standard deviation391.68495
Coefficient of variation (CV)1.5304179
Kurtosis4.9761501
Mean255.93333
Median Absolute Deviation (MAD)79
Skewness2.222604
Sum7678
Variance153417.1
MonotonicityNot monotonic
2023-12-12T10:46:44.912427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
26 3
 
10.0%
7 2
 
6.7%
734 1
 
3.3%
6 1
 
3.3%
13 1
 
3.3%
8 1
 
3.3%
1070 1
 
3.3%
577 1
 
3.3%
12 1
 
3.3%
158 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
6 1
 
3.3%
7 2
6.7%
8 1
 
3.3%
9 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
20 1
 
3.3%
26 3
10.0%
46 1
 
3.3%
49 1
 
3.3%
ValueCountFrequency (%)
1648 1
3.3%
1070 1
3.3%
1000 1
3.3%
734 1
3.3%
577 1
3.3%
511 1
3.3%
364 1
3.3%
340 1
3.3%
182 1
3.3%
158 1
3.3%

2015년 질병재해자수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263.96667
Minimum2
Maximum1579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:45.066820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.35
Q121
median96.5
Q3256
95-th percentile1139.25
Maximum1579
Range1577
Interquartile range (IQR)235

Descriptive statistics

Standard deviation404.57824
Coefficient of variation (CV)1.5326868
Kurtosis3.5799847
Mean263.96667
Median Absolute Deviation (MAD)78.5
Skewness2.0365913
Sum7919
Variance163683.55
MonotonicityNot monotonic
2023-12-12T10:46:45.237827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
16 2
 
6.7%
37 1
 
3.3%
155 1
 
3.3%
7 1
 
3.3%
24 1
 
3.3%
4 1
 
3.3%
1043 1
 
3.3%
580 1
 
3.3%
129 1
 
3.3%
441 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2 1
3.3%
4 1
3.3%
7 1
3.3%
10 1
3.3%
13 1
3.3%
16 2
6.7%
20 1
3.3%
24 1
3.3%
28 1
3.3%
34 1
3.3%
ValueCountFrequency (%)
1579 1
3.3%
1218 1
3.3%
1043 1
3.3%
845 1
3.3%
580 1
3.3%
536 1
3.3%
441 1
3.3%
285 1
3.3%
169 1
3.3%
159 1
3.3%

2016년 질병재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.53333
Minimum1
Maximum1465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:45.416218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.35
Q118.25
median96.5
Q3268.5
95-th percentile1148.5
Maximum1465
Range1464
Interquartile range (IQR)250.25

Descriptive statistics

Standard deviation396.41007
Coefficient of variation (CV)1.5099419
Kurtosis2.8553316
Mean262.53333
Median Absolute Deviation (MAD)82.5
Skewness1.9139683
Sum7876
Variance157140.95
MonotonicityNot monotonic
2023-12-12T10:46:45.565922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 1
 
3.3%
160 1
 
3.3%
1 1
 
3.3%
13 1
 
3.3%
8 1
 
3.3%
1011 1
 
3.3%
553 1
 
3.3%
11 1
 
3.3%
126 1
 
3.3%
459 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
4 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
11 1
3.3%
13 1
3.3%
15 1
3.3%
28 1
3.3%
31 1
3.3%
ValueCountFrequency (%)
1465 1
3.3%
1261 1
3.3%
1011 1
3.3%
869 1
3.3%
591 1
3.3%
553 1
3.3%
459 1
3.3%
300 1
3.3%
174 1
3.3%
160 1
3.3%

2017년 질병재해자수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean306.1
Minimum1
Maximum1641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:45.735809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q126.75
median114.5
Q3280.5
95-th percentile1362
Maximum1641
Range1640
Interquartile range (IQR)253.75

Descriptive statistics

Standard deviation464.60754
Coefficient of variation (CV)1.5178293
Kurtosis2.9618967
Mean306.1
Median Absolute Deviation (MAD)95.5
Skewness1.9613836
Sum9183
Variance215860.16
MonotonicityNot monotonic
2023-12-12T10:46:45.878597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8 2
 
6.7%
76 1
 
3.3%
1614 1
 
3.3%
1 1
 
3.3%
225 1
 
3.3%
1054 1
 
3.3%
506 1
 
3.3%
144 1
 
3.3%
421 1
 
3.3%
26 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1 1
3.3%
3 1
3.3%
8 2
6.7%
10 1
3.3%
13 1
3.3%
25 1
3.3%
26 1
3.3%
29 1
3.3%
31 1
3.3%
33 1
3.3%
ValueCountFrequency (%)
1641 1
3.3%
1614 1
3.3%
1054 1
3.3%
1021 1
3.3%
931 1
3.3%
506 1
3.3%
421 1
3.3%
299 1
3.3%
225 1
3.3%
181 1
3.3%

2018년 질병재해자수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382.43333
Minimum5
Maximum2052
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:46.014126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.45
Q135
median135.5
Q3381.75
95-th percentile1634.3
Maximum2052
Range2047
Interquartile range (IQR)346.75

Descriptive statistics

Standard deviation562.66415
Coefficient of variation (CV)1.4712738
Kurtosis2.887193
Mean382.43333
Median Absolute Deviation (MAD)109
Skewness1.9148046
Sum11473
Variance316590.94
MonotonicityNot monotonic
2023-12-12T10:46:46.156339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
241 2
 
6.7%
57 1
 
3.3%
1898 1
 
3.3%
5 1
 
3.3%
363 1
 
3.3%
19 1
 
3.3%
1312 1
 
3.3%
618 1
 
3.3%
8 1
 
3.3%
167 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
5 1
3.3%
7 1
3.3%
8 1
3.3%
12 1
3.3%
19 1
3.3%
23 1
3.3%
32 1
3.3%
33 1
3.3%
41 1
3.3%
45 1
3.3%
ValueCountFrequency (%)
2052 1
3.3%
1898 1
3.3%
1312 1
3.3%
1200 1
3.3%
1084 1
3.3%
674 1
3.3%
618 1
3.3%
388 1
3.3%
363 1
3.3%
241 2
6.7%

2019년 질병재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean506.5
Minimum2
Maximum2597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:46.289187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.8
Q143.75
median174
Q3544.25
95-th percentile2053.25
Maximum2597
Range2595
Interquartile range (IQR)500.5

Descriptive statistics

Standard deviation725.4885
Coefficient of variation (CV)1.4323564
Kurtosis1.9846163
Mean506.5
Median Absolute Deviation (MAD)152
Skewness1.7336124
Sum15195
Variance526333.57
MonotonicityNot monotonic
2023-12-12T10:46:46.440483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
63 1
 
3.3%
299 1
 
3.3%
10 1
 
3.3%
560 1
 
3.3%
19 1
 
3.3%
1810 1
 
3.3%
918 1
 
3.3%
6 1
 
3.3%
258 1
 
3.3%
891 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2 1
3.3%
6 1
3.3%
10 1
3.3%
14 1
3.3%
19 1
3.3%
25 1
3.3%
32 1
3.3%
43 1
3.3%
46 1
3.3%
59 1
3.3%
ValueCountFrequency (%)
2597 1
3.3%
2168 1
3.3%
1913 1
3.3%
1810 1
3.3%
1345 1
3.3%
918 1
3.3%
891 1
3.3%
560 1
3.3%
497 1
3.3%
385 1
3.3%

2020년 질병재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.2
Minimum4
Maximum2741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:46.591133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.9
Q146.75
median187.5
Q3601.25
95-th percentile2289.8
Maximum2741
Range2737
Interquartile range (IQR)554.5

Descriptive statistics

Standard deviation773.51051
Coefficient of variation (CV)1.4506949
Kurtosis2.1527381
Mean533.2
Median Absolute Deviation (MAD)165.5
Skewness1.7760119
Sum15996
Variance598318.51
MonotonicityNot monotonic
2023-12-12T10:46:46.749665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
83 1
 
3.3%
378 1
 
3.3%
6 1
 
3.3%
627 1
 
3.3%
17 1
 
3.3%
1758 1
 
3.3%
1008 1
 
3.3%
8 1
 
3.3%
257 1
 
3.3%
884 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
4 1
3.3%
6 1
3.3%
8 1
3.3%
17 1
3.3%
18 1
3.3%
26 1
3.3%
36 1
3.3%
46 1
3.3%
49 1
3.3%
56 1
3.3%
ValueCountFrequency (%)
2741 1
3.3%
2378 1
3.3%
2182 1
3.3%
1758 1
3.3%
1341 1
3.3%
1008 1
3.3%
884 1
3.3%
627 1
3.3%
524 1
3.3%
378 1
3.3%

2021년 질병재해자수
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean681.16667
Minimum3
Maximum3442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:46.903267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10.15
Q152.75
median238
Q3738.25
95-th percentile2987.5
Maximum3442
Range3439
Interquartile range (IQR)685.5

Descriptive statistics

Standard deviation992.0821
Coefficient of variation (CV)1.4564455
Kurtosis2.0432379
Mean681.16667
Median Absolute Deviation (MAD)206.5
Skewness1.7635909
Sum20435
Variance984226.9
MonotonicityNot monotonic
2023-12-12T10:46:47.056986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
178 2
 
6.7%
111 1
 
3.3%
397 1
 
3.3%
3 1
 
3.3%
751 1
 
3.3%
32 1
 
3.3%
2069 1
 
3.3%
1329 1
 
3.3%
14 1
 
3.3%
314 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
3 1
3.3%
7 1
3.3%
14 1
3.3%
28 1
3.3%
31 1
3.3%
32 1
3.3%
38 1
3.3%
50 1
3.3%
61 1
3.3%
75 1
3.3%
ValueCountFrequency (%)
3442 1
3.3%
3055 1
3.3%
2905 1
3.3%
2069 1
3.3%
1924 1
3.3%
1329 1
3.3%
1063 1
3.3%
751 1
3.3%
700 1
3.3%
485 1
3.3%

2022년 질병재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean771.13333
Minimum3
Maximum3813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T10:46:47.197723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9.6
Q150.25
median273
Q3757.25
95-th percentile3528.95
Maximum3813
Range3810
Interquartile range (IQR)707

Descriptive statistics

Standard deviation1154.6469
Coefficient of variation (CV)1.4973375
Kurtosis1.8832495
Mean771.13333
Median Absolute Deviation (MAD)232.5
Skewness1.7609981
Sum23134
Variance1333209.4
MonotonicityNot monotonic
2023-12-12T10:46:47.340561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201 1
 
3.3%
433 1
 
3.3%
6 1
 
3.3%
767 1
 
3.3%
41 1
 
3.3%
2576 1
 
3.3%
1915 1
 
3.3%
14 1
 
3.3%
320 1
 
3.3%
976 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3 1
3.3%
6 1
3.3%
14 1
3.3%
24 1
3.3%
33 1
3.3%
40 1
3.3%
41 1
3.3%
47 1
3.3%
60 1
3.3%
73 1
3.3%
ValueCountFrequency (%)
3813 1
3.3%
3632 1
3.3%
3403 1
3.3%
2576 1
3.3%
1968 1
3.3%
1915 1
3.3%
976 1
3.3%
767 1
3.3%
728 1
3.3%
433 1
3.3%

Sample

대업종구분2004년 질병재해자수2005년 질병재해자수2006년 질병재해자수2007년 질병재해자수2008년 질병재해자수2009년 질병재해자수2010년 질병재해자수2011년 질병재해자수2012년 질병재해자수2013년 질병재해자수2014년 질병재해자수2015년 질병재해자수2016년 질병재해자수2017년 질병재해자수2018년 질병재해자수2019년 질병재해자수2020년 질병재해자수2021년 질병재해자수2022년 질병재해자수
0금융및보험업금융및보험업1066912410184625847374649373176576383111201
1광 업석탄광업및채석업1713174714021164901767779809627666100012181261161418982168237829053403
2광 업석회석·금속·비금속광업및기타광업13313512698112996476715784106107125132189234298321
3제조업식료품제조업136114194184205184176152173175152169153143204267299310312
4제조업섬유및섬유제품제조업1711141831941471261311181171101149310598139159141178241
5제조업목재및종이제품제조업758413315811311011793961108510086104127150118178207
6제조업출판·인쇄·제본업45467270876358466341463935334159495060
7제조업화학및고무제품제조업499389422459375329285307333331340285300299388497524700728
8제조업의약품·화장품·연탄·석유제품제조업19392948453431363027262037294867567573
9제조업기계기구·금속·비금속광물제품제조업2458173822222526222017001647152517671739164815791465164120522597274134423632
대업종구분2004년 질병재해자수2005년 질병재해자수2006년 질병재해자수2007년 질병재해자수2008년 질병재해자수2009년 질병재해자수2010년 질병재해자수2011년 질병재해자수2012년 질병재해자수2013년 질병재해자수2014년 질병재해자수2015년 질병재해자수2016년 질병재해자수2017년 질병재해자수2018년 질병재해자수2019년 질병재해자수2020년 질병재해자수2021년 질병재해자수2022년 질병재해자수
20어 업어업63793771167724372473
21농 업농업18144150384527404040262828264543463847
22기타의사업시설관리및사업지원서비스업65748483210228289556395495655895114414594216748918841063976
23기타의사업기타의각종사업194173224347242221212178175179158129126144167258257314320
24기타의사업해외파견자243410289812161188681414
25기타의사업전문·보건·교육·여가관련서비스업392319590760749761660652635641577580553506618918100813291915
26기타의사업도소매·음식·숙박업500451111615361405129411349879811033107010431011105413121810175820692576
27기타의사업부동산업및임대업1913261826112113131284881919173241
28기타의사업국가및지방자치단체의사업00000000020132413225363560627751767
29기타의사업주한미군018783306106711510636