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 사망자수 산업재해현황분석데이터입니다.
URLhttps://www.data.go.kr/data/15064268/fileData.do

Alerts

구분 has unique valuesUnique
2004년 사망자수 has 3 (10.0%) zerosZeros
2005년 사망자수 has 1 (3.3%) zerosZeros
2006년 사망자수 has 2 (6.7%) zerosZeros
2007년 사망자수 has 2 (6.7%) zerosZeros
2008년 사망자수 has 1 (3.3%) zerosZeros
2009년 사망자수 has 1 (3.3%) zerosZeros
2010년 사망자수 has 3 (10.0%) zerosZeros
2011년 사망자수 has 2 (6.7%) zerosZeros
2012년 사망자수 has 1 (3.3%) zerosZeros
2015년 사망자수 has 1 (3.3%) zerosZeros
2016년 사망자수 has 3 (10.0%) zerosZeros
2017년 사망자수 has 1 (3.3%) zerosZeros
2018년 사망자수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:09:49.655986
Analysis finished2023-12-12 00:09:49.936814
Duration0.28 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
운수·창고·통신업
광 업
금융및보험업
 
1
Other values (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

2023-12-12T09:09:50.033112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:09:50.187389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조업 11
31.4%
기타의사업 8
22.9%
5
14.3%
운수·창고·통신업 3
 
8.6%
2
 
5.7%
금융및보험업 1
 
2.9%
전기·가스·증기·수도사업 1
 
2.9%
건설업 1
 
2.9%
1
 
2.9%
1
 
2.9%

구분
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T09:09:50.425313image/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%
2023-12-12T09:09:50.892488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
11.4%
· 22
 
7.8%
18
 
6.4%
12
 
4.3%
11
 
3.9%
11
 
3.9%
9
 
3.2%
6
 
2.1%
6
 
2.1%
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 (%)
32
 
12.4%
18
 
6.9%
12
 
4.6%
11
 
4.2%
11
 
4.2%
9
 
3.5%
6
 
2.3%
6
 
2.3%
5
 
1.9%
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 (%)
32
 
12.4%
18
 
6.9%
12
 
4.6%
11
 
4.2%
11
 
4.2%
9
 
3.5%
6
 
2.3%
6
 
2.3%
5
 
1.9%
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 (%)
32
 
12.4%
18
 
6.9%
12
 
4.6%
11
 
4.2%
11
 
4.2%
9
 
3.5%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
Other values (90) 144
55.6%
None
ValueCountFrequency (%)
· 22
100.0%

2004년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.2
Minimum0
Maximum728
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:51.071588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.25
median29
Q379.5
95-th percentile332.35
Maximum728
Range728
Interquartile range (IQR)66.25

Descriptive statistics

Standard deviation150.4124
Coefficient of variation (CV)1.7449234
Kurtosis11.516192
Mean86.2
Median Absolute Deviation (MAD)19
Skewness3.18507
Sum2586
Variance22623.89
MonotonicityNot monotonic
2023-12-12T09:09:51.203126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.0%
29 2
 
6.7%
13 2
 
6.7%
14 2
 
6.7%
728 1
 
3.3%
140 1
 
3.3%
56 1
 
3.3%
89 1
 
3.3%
244 1
 
3.3%
21 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
7 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
13 2
6.7%
14 2
6.7%
16 1
 
3.3%
21 1
 
3.3%
24 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
728 1
3.3%
376 1
3.3%
279 1
3.3%
244 1
3.3%
140 1
3.3%
128 1
3.3%
89 1
3.3%
85 1
3.3%
63 1
3.3%
56 1
3.3%

2005년 사망자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.066667
Minimum0
Maximum575
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:51.352071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q18.5
median35.5
Q361
95-th percentile324.25
Maximum575
Range575
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation126.96346
Coefficient of variation (CV)1.6691077
Kurtosis8.3101257
Mean76.066667
Median Absolute Deviation (MAD)27.5
Skewness2.7953821
Sum2282
Variance16119.72
MonotonicityNot monotonic
2023-12-12T09:09:51.483802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
36 2
 
6.7%
18 1
 
3.3%
106 1
 
3.3%
1 1
 
3.3%
0 1
 
3.3%
4 1
 
3.3%
122 1
 
3.3%
48 1
 
3.3%
5 1
 
3.3%
72 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%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
10 1
3.3%
12 1
3.3%
ValueCountFrequency (%)
575 1
3.3%
367 1
3.3%
272 1
3.3%
220 1
3.3%
122 1
3.3%
106 1
3.3%
72 1
3.3%
63 1
3.3%
55 1
3.3%
54 1
3.3%

2006년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.6
Minimum0
Maximum608
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:51.639560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q16.5
median30.5
Q351.75
95-th percentile353.7
Maximum608
Range608
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation135.26898
Coefficient of variation (CV)1.8132571
Kurtosis9.0264951
Mean74.6
Median Absolute Deviation (MAD)23.5
Skewness2.9593831
Sum2238
Variance18297.697
MonotonicityNot monotonic
2023-12-12T09:09:51.784773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11 2
 
6.7%
49 2
 
6.7%
0 2
 
6.7%
6 2
 
6.7%
1 2
 
6.7%
608 1
 
3.3%
5 1
 
3.3%
108 1
 
3.3%
52 1
 
3.3%
188 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
4 1
3.3%
5 1
3.3%
6 2
6.7%
8 1
3.3%
11 2
6.7%
14 1
3.3%
22 1
3.3%
26 1
3.3%
ValueCountFrequency (%)
608 1
3.3%
423 1
3.3%
269 1
3.3%
188 1
3.3%
108 1
3.3%
84 1
3.3%
66 1
3.3%
52 1
3.3%
51 1
3.3%
49 2
6.7%

2007년 사망자수
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.966667
Minimum0
Maximum588
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:51.955626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q17
median29.5
Q360.5
95-th percentile343.85
Maximum588
Range588
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation130.08472
Coefficient of variation (CV)1.807569
Kurtosis9.0751423
Mean71.966667
Median Absolute Deviation (MAD)25
Skewness2.958289
Sum2159
Variance16922.033
MonotonicityNot monotonic
2023-12-12T09:09:52.086462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2
 
6.7%
7 2
 
6.7%
1 2
 
6.7%
25 1
 
3.3%
66 1
 
3.3%
4 1
 
3.3%
100 1
 
3.3%
59 1
 
3.3%
61 1
 
3.3%
158 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
2 1
3.3%
4 1
3.3%
5 1
3.3%
7 2
6.7%
8 1
3.3%
9 1
3.3%
13 1
3.3%
18 1
3.3%
ValueCountFrequency (%)
588 1
3.3%
392 1
3.3%
285 1
3.3%
158 1
3.3%
100 1
3.3%
84 1
3.3%
66 1
3.3%
61 1
3.3%
59 1
3.3%
49 1
3.3%

2008년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.533333
Minimum0
Maximum613
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:52.221714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q16
median32.5
Q352.75
95-th percentile322.9
Maximum613
Range613
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation130.90579
Coefficient of variation (CV)1.8299971
Kurtosis10.445313
Mean71.533333
Median Absolute Deviation (MAD)26.5
Skewness3.1081788
Sum2146
Variance17136.326
MonotonicityNot monotonic
2023-12-12T09:09:52.349859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
39 3
 
10.0%
5 2
 
6.7%
6 2
 
6.7%
3 2
 
6.7%
66 1
 
3.3%
2 1
 
3.3%
0 1
 
3.3%
122 1
 
3.3%
1 1
 
3.3%
151 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
2 1
3.3%
3 2
6.7%
5 2
6.7%
6 2
6.7%
8 1
3.3%
9 1
3.3%
14 1
3.3%
16 1
3.3%
ValueCountFrequency (%)
613 1
3.3%
367 1
3.3%
269 1
3.3%
151 1
3.3%
122 1
3.3%
96 1
3.3%
66 1
3.3%
55 1
3.3%
46 1
3.3%
44 1
3.3%

2009년 사망자수
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.866667
Minimum0
Maximum534
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:52.491636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18.25
median25.5
Q353.75
95-th percentile292.9
Maximum534
Range534
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation115.339
Coefficient of variation (CV)1.8059342
Kurtosis9.9771625
Mean63.866667
Median Absolute Deviation (MAD)21
Skewness3.0631967
Sum1916
Variance13303.085
MonotonicityNot monotonic
2023-12-12T09:09:52.673889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10 2
 
6.7%
6 2
 
6.7%
1 2
 
6.7%
9 2
 
6.7%
67 1
 
3.3%
0 1
 
3.3%
2 1
 
3.3%
107 1
 
3.3%
38 1
 
3.3%
37 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
2 1
3.3%
3 1
3.3%
6 2
6.7%
8 1
3.3%
9 2
6.7%
10 2
6.7%
14 1
3.3%
19 1
3.3%
ValueCountFrequency (%)
534 1
3.3%
337 1
3.3%
239 1
3.3%
134 1
3.3%
107 1
3.3%
67 1
3.3%
56 1
3.3%
54 1
3.3%
53 1
3.3%
50 1
3.3%

2010년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.366667
Minimum0
Maximum542
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:53.067886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.25
median29
Q348
95-th percentile308.35
Maximum542
Range542
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation117.54808
Coefficient of variation (CV)1.826226
Kurtosis9.9679553
Mean64.366667
Median Absolute Deviation (MAD)20
Skewness3.0966131
Sum1931
Variance13817.551
MonotonicityNot monotonic
2023-12-12T09:09:53.198218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
35 3
 
10.0%
0 3
 
10.0%
3 2
 
6.7%
16 1
 
3.3%
542 1
 
3.3%
10 1
 
3.3%
96 1
 
3.3%
39 1
 
3.3%
107 1
 
3.3%
9 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
3 2
6.7%
4 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
16 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
542 1
3.3%
343 1
3.3%
266 1
3.3%
107 1
3.3%
96 1
3.3%
66 1
3.3%
58 1
3.3%
49 1
3.3%
45 1
3.3%
39 1
3.3%

2011년 사망자수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62
Minimum0
Maximum543
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:53.341209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q16
median23.5
Q348.5
95-th percentile284.05
Maximum543
Range543
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation115.15417
Coefficient of variation (CV)1.8573253
Kurtosis11.094277
Mean62
Median Absolute Deviation (MAD)19.5
Skewness3.2225054
Sum1860
Variance13260.483
MonotonicityNot monotonic
2023-12-12T09:09:53.466225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 2
 
6.7%
4 2
 
6.7%
16 1
 
3.3%
50 1
 
3.3%
2 1
 
3.3%
100 1
 
3.3%
32 1
 
3.3%
1 1
 
3.3%
42 1
 
3.3%
113 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 2
6.7%
5 1
3.3%
9 1
3.3%
13 1
3.3%
14 1
3.3%
15 1
3.3%
ValueCountFrequency (%)
543 1
3.3%
334 1
3.3%
223 1
3.3%
113 1
3.3%
100 1
3.3%
68 1
3.3%
54 1
3.3%
50 1
3.3%
44 1
3.3%
42 1
3.3%

2012년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.133333
Minimum0
Maximum496
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:53.585444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.25
median25.5
Q351
95-th percentile276.75
Maximum496
Range496
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation107.5382
Coefficient of variation (CV)1.730765
Kurtosis9.2979579
Mean62.133333
Median Absolute Deviation (MAD)20.5
Skewness2.9443924
Sum1864
Variance11564.464
MonotonicityNot monotonic
2023-12-12T09:09:53.729687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
51 2
 
6.7%
8 2
 
6.7%
496 1
 
3.3%
0 1
 
3.3%
94 1
 
3.3%
37 1
 
3.3%
39 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
2 2
6.7%
5 2
6.7%
7 1
3.3%
8 2
6.7%
10 1
3.3%
16 1
3.3%
17 1
3.3%
18 1
3.3%
ValueCountFrequency (%)
496 1
3.3%
288 1
3.3%
263 1
3.3%
134 1
3.3%
94 1
3.3%
82 1
3.3%
71 1
3.3%
51 2
6.7%
41 1
3.3%
39 1
3.3%

2013년 사망자수
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.3
Minimum1
Maximum567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:53.855094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.25
median22.5
Q347.75
95-th percentile295.45
Maximum567
Range566
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation120.82679
Coefficient of variation (CV)1.8791103
Kurtosis10.872494
Mean64.3
Median Absolute Deviation (MAD)18.5
Skewness3.1900778
Sum1929
Variance14599.114
MonotonicityNot monotonic
2023-12-12T09:09:53.958971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 3
 
10.0%
31 2
 
6.7%
2 2
 
6.7%
8 2
 
6.7%
48 1
 
3.3%
5 1
 
3.3%
89 1
 
3.3%
47 1
 
3.3%
39 1
 
3.3%
147 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
1 1
 
3.3%
2 2
6.7%
3 3
10.0%
5 1
 
3.3%
7 1
 
3.3%
8 2
6.7%
9 1
 
3.3%
17 1
 
3.3%
20 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
567 1
3.3%
349 1
3.3%
230 1
3.3%
147 1
3.3%
89 1
3.3%
81 1
3.3%
50 1
3.3%
48 1
3.3%
47 1
3.3%
39 1
3.3%

2014년 사망자수
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.666667
Minimum1
Maximum486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:54.139322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median24
Q345
95-th percentile298.55
Maximum486
Range485
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation109.43754
Coefficient of variation (CV)1.7746628
Kurtosis8.8880821
Mean61.666667
Median Absolute Deviation (MAD)17.5
Skewness2.9707874
Sum1850
Variance11976.575
MonotonicityNot monotonic
2023-12-12T09:09:54.290914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
22 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
37 2
 
6.7%
10 1
 
3.3%
42 1
 
3.3%
2 1
 
3.3%
1 1
 
3.3%
109 1
 
3.3%
53 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 2
6.7%
5 2
6.7%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
12 1
3.3%
15 1
3.3%
ValueCountFrequency (%)
486 1
3.3%
362 1
3.3%
221 1
3.3%
112 1
3.3%
109 1
3.3%
70 1
3.3%
53 1
3.3%
46 1
3.3%
42 1
3.3%
39 1
3.3%

2015년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.333333
Minimum0
Maximum493
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:54.435070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.5
median19.5
Q350
95-th percentile309.25
Maximum493
Range493
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation113.36038
Coefficient of variation (CV)1.8789012
Kurtosis8.8021536
Mean60.333333
Median Absolute Deviation (MAD)13.5
Skewness2.9779887
Sum1810
Variance12850.575
MonotonicityNot monotonic
2023-12-12T09:09:54.561048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 3
 
10.0%
6 3
 
10.0%
1 2
 
6.7%
44 1
 
3.3%
0 1
 
3.3%
2 1
 
3.3%
98 1
 
3.3%
52 1
 
3.3%
27 1
 
3.3%
114 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
 
3.3%
1 2
6.7%
2 1
 
3.3%
4 1
 
3.3%
6 3
10.0%
8 1
 
3.3%
9 3
10.0%
16 1
 
3.3%
18 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
493 1
3.3%
388 1
3.3%
213 1
3.3%
114 1
3.3%
98 1
3.3%
86 1
3.3%
53 1
3.3%
52 1
3.3%
44 1
3.3%
31 1
3.3%

2016년 사망자수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.233333
Minimum0
Maximum554
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:54.689315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median23.5
Q344.5
95-th percentile268.9
Maximum554
Range554
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation115.94103
Coefficient of variation (CV)1.9573613
Kurtosis12.119495
Mean59.233333
Median Absolute Deviation (MAD)20.5
Skewness3.3479919
Sum1777
Variance13442.323
MonotonicityNot monotonic
2023-12-12T09:09:54.843415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
32 3
 
10.0%
0 3
 
10.0%
2 3
 
10.0%
9 2
 
6.7%
4 2
 
6.7%
3 2
 
6.7%
43 1
 
3.3%
105 1
 
3.3%
52 1
 
3.3%
100 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
2 3
10.0%
3 2
6.7%
4 2
6.7%
9 2
6.7%
13 1
 
3.3%
14 1
 
3.3%
22 1
 
3.3%
25 1
 
3.3%
29 1
 
3.3%
ValueCountFrequency (%)
554 1
3.3%
331 1
3.3%
193 1
3.3%
105 1
3.3%
100 1
3.3%
84 1
3.3%
52 1
3.3%
45 1
3.3%
43 1
3.3%
33 1
3.3%

2017년 사망자수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.233333
Minimum0
Maximum579
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:54.970650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.45
Q18.25
median24.5
Q341.5
95-th percentile327.45
Maximum579
Range579
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation127.34631
Coefficient of variation (CV)1.9521662
Kurtosis10.486296
Mean65.233333
Median Absolute Deviation (MAD)17
Skewness3.2168329
Sum1957
Variance16217.082
MonotonicityNot monotonic
2023-12-12T09:09:55.112826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
16 2
 
6.7%
29 2
 
6.7%
9 2
 
6.7%
31 2
 
6.7%
4 2
 
6.7%
20 1
 
3.3%
0 1
 
3.3%
7 1
 
3.3%
91 1
 
3.3%
54 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
3.3%
2 1
3.3%
3 1
3.3%
4 2
6.7%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 2
6.7%
14 1
3.3%
15 1
3.3%
ValueCountFrequency (%)
579 1
3.3%
417 1
3.3%
218 1
3.3%
114 1
3.3%
91 1
3.3%
76 1
3.3%
54 1
3.3%
42 1
3.3%
40 1
3.3%
39 1
3.3%

2018년 사망자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.4
Minimum0
Maximum570
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:55.260911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q19.25
median22.5
Q351.75
95-th percentile345.5
Maximum570
Range570
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation129.62216
Coefficient of variation (CV)1.8154364
Kurtosis8.6369968
Mean71.4
Median Absolute Deviation (MAD)16.5
Skewness2.9222615
Sum2142
Variance16801.903
MonotonicityNot monotonic
2023-12-12T09:09:55.376960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 2
 
6.7%
16 1
 
3.3%
431 1
 
3.3%
0 1
 
3.3%
20 1
 
3.3%
126 1
 
3.3%
65 1
 
3.3%
36 1
 
3.3%
165 1
 
3.3%
14 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
2 2
6.7%
5 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
12 1
3.3%
13 1
3.3%
ValueCountFrequency (%)
570 1
3.3%
431 1
3.3%
241 1
3.3%
165 1
3.3%
126 1
3.3%
99 1
3.3%
65 1
3.3%
53 1
3.3%
48 1
3.3%
47 1
3.3%

2019년 사망자수
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.333333
Minimum1
Maximum517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:55.510461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q16.75
median19
Q351.75
95-th percentile325.55
Maximum517
Range516
Interquartile range (IQR)45

Descriptive statistics

Standard deviation118.80449
Coefficient of variation (CV)1.7644231
Kurtosis7.4830571
Mean67.333333
Median Absolute Deviation (MAD)17
Skewness2.7290195
Sum2020
Variance14114.506
MonotonicityNot monotonic
2023-12-12T09:09:55.654097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
19 2
 
6.7%
2 2
 
6.7%
1 2
 
6.7%
12 1
 
3.3%
43 1
 
3.3%
4 1
 
3.3%
114 1
 
3.3%
53 1
 
3.3%
48 1
 
3.3%
166 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
1 2
6.7%
2 2
6.7%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
9 1
3.3%
10 1
3.3%
12 1
3.3%
16 1
3.3%
ValueCountFrequency (%)
517 1
3.3%
362 1
3.3%
281 1
3.3%
166 1
3.3%
114 1
3.3%
104 1
3.3%
54 1
3.3%
53 1
3.3%
48 1
3.3%
44 1
3.3%

2020년 사망자수
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.733333
Minimum1
Maximum567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:55.784477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q19.25
median23.5
Q352.25
95-th percentile324.75
Maximum567
Range566
Interquartile range (IQR)43

Descriptive statistics

Standard deviation124.74137
Coefficient of variation (CV)1.8148599
Kurtosis9.3835983
Mean68.733333
Median Absolute Deviation (MAD)18
Skewness2.998876
Sum2062
Variance15560.409
MonotonicityNot monotonic
2023-12-12T09:09:55.923434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
16 3
 
10.0%
25 2
 
6.7%
6 2
 
6.7%
28 2
 
6.7%
1 2
 
6.7%
17 1
 
3.3%
22 1
 
3.3%
3 1
 
3.3%
117 1
 
3.3%
71 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
1 2
6.7%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 2
6.7%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
16 3
10.0%
17 1
 
3.3%
ValueCountFrequency (%)
567 1
3.3%
381 1
3.3%
256 1
3.3%
131 1
3.3%
117 1
3.3%
108 1
3.3%
71 1
3.3%
53 1
3.3%
50 1
3.3%
43 1
3.3%

2021년 사망자수
Real number (ℝ)

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.333333
Minimum2
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:56.046068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q19.25
median21.5
Q356.75
95-th percentile291.8
Maximum551
Range549
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation118.74294
Coefficient of variation (CV)1.7126385
Kurtosis9.2781845
Mean69.333333
Median Absolute Deviation (MAD)18
Skewness2.903514
Sum2080
Variance14099.885
MonotonicityNot monotonic
2023-12-12T09:09:56.180091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 2
 
6.7%
9 2
 
6.7%
16 2
 
6.7%
3 2
 
6.7%
40 2
 
6.7%
50 1
 
3.3%
2 1
 
3.3%
10 1
 
3.3%
122 1
 
3.3%
89 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
2 1
3.3%
3 2
6.7%
4 2
6.7%
6 1
3.3%
9 2
6.7%
10 1
3.3%
11 1
3.3%
13 1
3.3%
16 2
6.7%
17 1
3.3%
ValueCountFrequency (%)
551 1
3.3%
308 1
3.3%
272 1
3.3%
179 1
3.3%
122 1
3.3%
104 1
3.3%
89 1
3.3%
59 1
3.3%
50 1
3.3%
41 1
3.3%

2022년 사망자수
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.1
Minimum1
Maximum539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T09:09:56.302172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q19.25
median27
Q357
95-th percentile343.75
Maximum539
Range538
Interquartile range (IQR)47.75

Descriptive statistics

Standard deviation125.59825
Coefficient of variation (CV)1.6949831
Kurtosis7.2704036
Mean74.1
Median Absolute Deviation (MAD)22.5
Skewness2.6939901
Sum2223
Variance15774.921
MonotonicityNot monotonic
2023-12-12T09:09:56.482361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 2
 
6.7%
57 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
55 1
 
3.3%
31 1
 
3.3%
10 1
 
3.3%
114 1
 
3.3%
73 1
 
3.3%
193 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
1 2
6.7%
3 2
6.7%
4 1
3.3%
5 1
3.3%
9 2
6.7%
10 1
3.3%
12 1
3.3%
13 1
3.3%
16 1
3.3%
19 1
3.3%
ValueCountFrequency (%)
539 1
3.3%
418 1
3.3%
253 1
3.3%
193 1
3.3%
139 1
3.3%
114 1
3.3%
73 1
3.3%
57 2
6.7%
55 1
3.3%
47 1
3.3%

Sample

대업종구분2004년 사망자수2005년 사망자수2006년 사망자수2007년 사망자수2008년 사망자수2009년 사망자수2010년 사망자수2011년 사망자수2012년 사망자수2013년 사망자수2014년 사망자수2015년 사망자수2016년 사망자수2017년 사망자수2018년 사망자수2019년 사망자수2020년 사망자수2021년 사망자수2022년 사망자수
0금융및보험업금융및보험업291822251610161610211099201612161816
1광 업석탄광업및채석업376367423392367337343334288349362388331417431362381308418
2광 업석회석·금속·비금속광업및기타광업45454935445435373231392933404744434135
3제조업식료품제조업29353124462530263429222014142219252824
4제조업섬유및섬유제품제조업46543339312622391722221932293722162528
5제조업목재및종이제품제조업2430261817142821181717232215121816919
6제조업출판·인쇄·제본업136676631372564872595
7제조업화학및고무제품제조업85636649555658547150465345395354535957
8제조업의약품·화장품·연탄·석유제품제조업9154761012155812999910669
9제조업기계기구·금속·비금속광물제품제조업279272269285269239266223263230221213193218241281256272253
대업종구분2004년 사망자수2005년 사망자수2006년 사망자수2007년 사망자수2008년 사망자수2009년 사망자수2010년 사망자수2011년 사망자수2012년 사망자수2013년 사망자수2014년 사망자수2015년 사망자수2016년 사망자수2017년 사망자수2018년 사망자수2019년 사망자수2020년 사망자수2021년 사망자수2022년 사망자수
20어 업어업11311334311310313131
21농 업농업211388899516715946149101112
22기타의사업시설관리및사업지원서비스업244220188158151134107113134147112114100114165166131179193
23기타의사업기타의각종사업89724961393739423939372732343648504057
24기타의사업해외파견자0510110183562221433
25기타의사업전문·보건·교육·여가관련서비스업56485259393835323747535252546553718973
26기타의사업도소매·음식·숙박업1401221081001221079610094891099810591126114117122114
27기타의사업부동산업및임대업13454521022532272431010
28기타의사업국가및지방자치단체의사업0000000002110162019221631
29기타의사업주한미군0101210013200001121