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

Description산업안전보건에 대한 통계자료로 연도별, 사업중류별로 데이터를 나누었으며 그 사업에 종사하셨던 재해자수를 나타내는 데이터입니다.
URLhttps://www.data.go.kr/data/15064267/fileData.do

Alerts

구분 has unique valuesUnique
2005년 재해자수 has unique valuesUnique
2006년 재해자수 has unique valuesUnique
2007년 재해자수 has unique valuesUnique
2008년 재해자수 has unique valuesUnique
2009년 재해자수 has unique valuesUnique
2010년 재해자수 has unique valuesUnique
2013년 재해자수 has unique valuesUnique
2014년 재해자수 has unique valuesUnique
2015년 재해자수 has unique valuesUnique
2016년 재해자수 has unique valuesUnique
2017년 재해자수 has unique valuesUnique
2018년 재해자수 has unique valuesUnique
2019년 재해자수 has unique valuesUnique
2020년 재해자수 has unique valuesUnique
2021년 재해자수 has unique valuesUnique
2022년 재해자수 has unique valuesUnique
2004년 재해자수 has 2 (6.7%) zerosZeros
2005년 재해자수 has 1 (3.3%) zerosZeros
2006년 재해자수 has 1 (3.3%) zerosZeros
2007년 재해자수 has 1 (3.3%) zerosZeros
2008년 재해자수 has 1 (3.3%) zerosZeros
2009년 재해자수 has 1 (3.3%) zerosZeros
2010년 재해자수 has 1 (3.3%) zerosZeros
2011년 재해자수 has 1 (3.3%) zerosZeros
2012년 재해자수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 15:41:51.460220
Analysis finished2023-12-12 15:41:51.760479
Duration0.3 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

2023-12-13T00:41:51.844990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:41:51.999047image/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
2023-12-13T00:41:52.295487image/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%
2023-12-13T00:41:52.753451image/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 재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2962.4667
Minimum0
Maximum19661
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:52.932070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q1279.75
median1912
Q32357.5
95-th percentile14558.3
Maximum19661
Range19661
Interquartile range (IQR)2077.75

Descriptive statistics

Standard deviation4950.4818
Coefficient of variation (CV)1.6710675
Kurtosis7.2796496
Mean2962.4667
Median Absolute Deviation (MAD)1528
Skewness2.7408009
Sum88874
Variance24507270
MonotonicityNot monotonic
2023-12-13T00:41:53.125659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
574 1
 
3.3%
1872 1
 
3.3%
147 1
 
3.3%
8846 1
 
3.3%
3669 1
 
3.3%
3 1
 
3.3%
2124 1
 
3.3%
7800 1
 
3.3%
375 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
3 1
3.3%
90 1
3.3%
104 1
3.3%
129 1
3.3%
147 1
3.3%
248 1
3.3%
375 1
3.3%
393 1
3.3%
436 1
3.3%
ValueCountFrequency (%)
19661 1
3.3%
19232 1
3.3%
8846 1
3.3%
7800 1
3.3%
3943 1
3.3%
3669 1
3.3%
2639 1
3.3%
2366 1
3.3%
2332 1
3.3%
2160 1
3.3%

2005년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2847.0333
Minimum0
Maximum18658
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:53.286400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.2
Q1273.75
median1778
Q32298.5
95-th percentile13219.5
Maximum18658
Range18658
Interquartile range (IQR)2024.75

Descriptive statistics

Standard deviation4565.1243
Coefficient of variation (CV)1.6034671
Kurtosis6.2563166
Mean2847.0333
Median Absolute Deviation (MAD)1428
Skewness2.551965
Sum85411
Variance20840360
MonotonicityNot monotonic
2023-12-13T00:41:53.428593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
549 1
 
3.3%
2063 1
 
3.3%
65 1
 
3.3%
0 1
 
3.3%
167 1
 
3.3%
9518 1
 
3.3%
4023 1
 
3.3%
11 1
 
3.3%
1985 1
 
3.3%
8264 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
11 1
3.3%
47 1
3.3%
65 1
3.3%
111 1
3.3%
126 1
3.3%
167 1
3.3%
253 1
3.3%
336 1
3.3%
364 1
3.3%
ValueCountFrequency (%)
18658 1
3.3%
16248 1
3.3%
9518 1
3.3%
8264 1
3.3%
4023 1
3.3%
3840 1
3.3%
2341 1
3.3%
2327 1
3.3%
2213 1
3.3%
2190 1
3.3%

2006년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2997
Minimum0
Maximum18658
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:53.590084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.15
Q1275.25
median1565.5
Q32325.75
95-th percentile14966.4
Maximum18658
Range18658
Interquartile range (IQR)2050.5

Descriptive statistics

Standard deviation4858.4408
Coefficient of variation (CV)1.6211014
Kurtosis5.8374759
Mean2997
Median Absolute Deviation (MAD)1220
Skewness2.5087384
Sum89910
Variance23604447
MonotonicityNot monotonic
2023-12-13T00:41:53.756863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
611 1
 
3.3%
2404 1
 
3.3%
67 1
 
3.3%
0 1
 
3.3%
191 1
 
3.3%
10892 1
 
3.3%
4635 1
 
3.3%
12 1
 
3.3%
2183 1
 
3.3%
8369 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
12 1
3.3%
59 1
3.3%
67 1
3.3%
97 1
3.3%
122 1
3.3%
191 1
3.3%
256 1
3.3%
333 1
3.3%
358 1
3.3%
ValueCountFrequency (%)
18658 1
3.3%
18300 1
3.3%
10892 1
3.3%
8369 1
3.3%
4635 1
3.3%
3653 1
3.3%
2404 1
3.3%
2334 1
3.3%
2301 1
3.3%
2240 1
3.3%

2007년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3004.9
Minimum0
Maximum19385
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:53.887673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.25
Q1243.75
median1392
Q32263.5
95-th percentile15365.1
Maximum19385
Range19385
Interquartile range (IQR)2019.75

Descriptive statistics

Standard deviation5001.8095
Coefficient of variation (CV)1.6645511
Kurtosis5.6400325
Mean3004.9
Median Absolute Deviation (MAD)1096
Skewness2.4905656
Sum90147
Variance25018099
MonotonicityNot monotonic
2023-12-13T00:41:54.012351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
544 1
 
3.3%
2295 1
 
3.3%
59 1
 
3.3%
0 1
 
3.3%
181 1
 
3.3%
11987 1
 
3.3%
4913 1
 
3.3%
14 1
 
3.3%
2313 1
 
3.3%
8335 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
14 1
3.3%
59 1
3.3%
66 1
3.3%
91 1
3.3%
121 1
3.3%
181 1
3.3%
231 1
3.3%
282 1
3.3%
310 1
3.3%
ValueCountFrequency (%)
19385 1
3.3%
18129 1
3.3%
11987 1
3.3%
8335 1
3.3%
4913 1
3.3%
3514 1
3.3%
2313 1
3.3%
2295 1
3.3%
2169 1
3.3%
2081 1
3.3%

2008년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3193.5333
Minimum0
Maximum20835
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:54.171392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42.7
Q1262
median1525
Q32329.25
95-th percentile16404.85
Maximum20835
Range20835
Interquartile range (IQR)2067.25

Descriptive statistics

Standard deviation5351.1837
Coefficient of variation (CV)1.6756311
Kurtosis5.4784142
Mean3193.5333
Median Absolute Deviation (MAD)1189.5
Skewness2.4683065
Sum95806
Variance28635167
MonotonicityNot monotonic
2023-12-13T00:41:54.303169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
560 1
 
3.3%
2291 1
 
3.3%
68 1
 
3.3%
0 1
 
3.3%
168 1
 
3.3%
13365 1
 
3.3%
5414 1
 
3.3%
22 1
 
3.3%
2267 1
 
3.3%
8856 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
22 1
3.3%
68 1
3.3%
70 1
3.3%
73 1
3.3%
99 1
3.3%
168 1
3.3%
248 1
3.3%
304 1
3.3%
367 1
3.3%
ValueCountFrequency (%)
20835 1
3.3%
18892 1
3.3%
13365 1
3.3%
8856 1
3.3%
5414 1
3.3%
3632 1
3.3%
2375 1
3.3%
2342 1
3.3%
2291 1
3.3%
2267 1
3.3%

2009년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3260.7
Minimum0
Maximum20998
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:54.422240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.05
Q1251.75
median1595
Q32438.5
95-th percentile15624
Maximum20998
Range20998
Interquartile range (IQR)2186.75

Descriptive statistics

Standard deviation5330.6835
Coefficient of variation (CV)1.634828
Kurtosis4.6173471
Mean3260.7
Median Absolute Deviation (MAD)1340.5
Skewness2.3039769
Sum97821
Variance28416187
MonotonicityNot monotonic
2023-12-13T00:41:54.881986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
484 1
 
3.3%
2106 1
 
3.3%
52 1
 
3.3%
0 1
 
3.3%
178 1
 
3.3%
14271 1
 
3.3%
5988 1
 
3.3%
23 1
 
3.3%
2447 1
 
3.3%
11002 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
23 1
3.3%
52 1
3.3%
66 1
3.3%
75 1
3.3%
114 1
3.3%
178 1
3.3%
249 1
3.3%
260 1
3.3%
358 1
3.3%
ValueCountFrequency (%)
20998 1
3.3%
16731 1
3.3%
14271 1
3.3%
11002 1
3.3%
5988 1
3.3%
3449 1
3.3%
3091 1
3.3%
2447 1
3.3%
2413 1
3.3%
2271 1
3.3%

2010년 재해자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3288.1667
Minimum0
Maximum22504
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:55.028655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.45
Q1229.75
median1645.5
Q32397.25
95-th percentile16108.45
Maximum22504
Range22504
Interquartile range (IQR)2167.5

Descriptive statistics

Standard deviation5534.2979
Coefficient of variation (CV)1.6830953
Kurtosis5.5084507
Mean3288.1667
Median Absolute Deviation (MAD)1371.5
Skewness2.4485328
Sum98645
Variance30628454
MonotonicityNot monotonic
2023-12-13T00:41:55.162394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
489 1
 
3.3%
2158 1
 
3.3%
56 1
 
3.3%
0 1
 
3.3%
175 1
 
3.3%
14382 1
 
3.3%
6098 1
 
3.3%
15 1
 
3.3%
2633 1
 
3.3%
9811 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
15 1
3.3%
56 1
3.3%
70 1
3.3%
85 1
3.3%
125 1
3.3%
175 1
3.3%
229 1
3.3%
232 1
3.3%
316 1
3.3%
ValueCountFrequency (%)
22504 1
3.3%
17521 1
3.3%
14382 1
3.3%
9811 1
3.3%
6098 1
3.3%
3480 1
3.3%
2633 1
3.3%
2475 1
3.3%
2164 1
3.3%
2158 1
3.3%

2011년 재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3109.7333
Minimum0
Maximum22782
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:55.278645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.55
Q1226.5
median1562
Q32110
95-th percentile15179.85
Maximum22782
Range22782
Interquartile range (IQR)1883.5

Descriptive statistics

Standard deviation5388.8138
Coefficient of variation (CV)1.7328861
Kurtosis6.5555308
Mean3109.7333
Median Absolute Deviation (MAD)1316.5
Skewness2.601818
Sum93292
Variance29039314
MonotonicityNot monotonic
2023-12-13T00:41:55.388861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1895 2
 
6.7%
429 1
 
3.3%
2152 1
 
3.3%
49 1
 
3.3%
0 1
 
3.3%
231 1
 
3.3%
13328 1
 
3.3%
5593 1
 
3.3%
30 1
 
3.3%
8610 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
30 1
3.3%
49 1
3.3%
77 1
3.3%
86 1
3.3%
108 1
3.3%
219 1
3.3%
225 1
3.3%
231 1
3.3%
260 1
3.3%
ValueCountFrequency (%)
22782 1
3.3%
16695 1
3.3%
13328 1
3.3%
8610 1
3.3%
5593 1
3.3%
3670 1
3.3%
2160 1
3.3%
2152 1
3.3%
1984 1
3.3%
1955 1
3.3%

2012년 재해자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3075.2
Minimum0
Maximum23349
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:55.504549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.45
Q1224
median1488
Q32042.25
95-th percentile15006.3
Maximum23349
Range23349
Interquartile range (IQR)1818.25

Descriptive statistics

Standard deviation5428.0424
Coefficient of variation (CV)1.7651022
Kurtosis7.1323721
Mean3075.2
Median Absolute Deviation (MAD)1215
Skewness2.6846619
Sum92256
Variance29463645
MonotonicityNot monotonic
2023-12-13T00:41:55.619395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1760 2
 
6.7%
393 1
 
3.3%
1870 1
 
3.3%
46 1
 
3.3%
0 1
 
3.3%
236 1
 
3.3%
13001 1
 
3.3%
5574 1
 
3.3%
47 1
 
3.3%
2040 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 1
3.3%
46 1
3.3%
47 1
3.3%
62 1
3.3%
78 1
3.3%
96 1
3.3%
216 1
3.3%
220 1
3.3%
236 1
3.3%
310 1
3.3%
ValueCountFrequency (%)
23349 1
3.3%
16647 1
3.3%
13001 1
3.3%
8215 1
3.3%
5574 1
3.3%
3477 1
3.3%
2241 1
3.3%
2043 1
3.3%
2040 1
3.3%
1904 1
3.3%

2013년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3060.8
Minimum49
Maximum23600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:55.739232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile56.5
Q1194
median1372
Q32005.5
95-th percentile14609.4
Maximum23600
Range23551
Interquartile range (IQR)1811.5

Descriptive statistics

Standard deviation5422.4513
Coefficient of variation (CV)1.7715798
Kurtosis7.2269589
Mean3060.8
Median Absolute Deviation (MAD)1129.5
Skewness2.6809124
Sum91824
Variance29402978
MonotonicityNot monotonic
2023-12-13T00:41:55.861310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
363 1
 
3.3%
2019 1
 
3.3%
49 1
 
3.3%
176 1
 
3.3%
203 1
 
3.3%
13846 1
 
3.3%
6111 1
 
3.3%
52 1
 
3.3%
1648 1
 
3.3%
8441 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
49 1
3.3%
52 1
3.3%
62 1
3.3%
77 1
3.3%
116 1
3.3%
176 1
3.3%
180 1
3.3%
191 1
3.3%
203 1
3.3%
282 1
3.3%
ValueCountFrequency (%)
23600 1
3.3%
15234 1
3.3%
13846 1
3.3%
8441 1
3.3%
6111 1
3.3%
3261 1
3.3%
2265 1
3.3%
2019 1
3.3%
1965 1
3.3%
1962 1
3.3%

2014년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3030.3
Minimum46
Maximum23669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:55.997151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile64.5
Q1206.5
median1350.5
Q31991.25
95-th percentile14639.05
Maximum23669
Range23623
Interquartile range (IQR)1784.75

Descriptive statistics

Standard deviation5413.0404
Coefficient of variation (CV)1.7863051
Kurtosis7.4852837
Mean3030.3
Median Absolute Deviation (MAD)1115.5
Skewness2.7272645
Sum90909
Variance29301006
MonotonicityNot monotonic
2023-12-13T00:41:56.153238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
337 1
 
3.3%
2010 1
 
3.3%
46 1
 
3.3%
205 1
 
3.3%
159 1
 
3.3%
14725 1
 
3.3%
6050 1
 
3.3%
51 1
 
3.3%
1536 1
 
3.3%
7563 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
46 1
3.3%
51 1
3.3%
81 1
3.3%
98 1
3.3%
104 1
3.3%
159 1
3.3%
170 1
3.3%
205 1
3.3%
211 1
3.3%
259 1
3.3%
ValueCountFrequency (%)
23669 1
3.3%
14725 1
3.3%
14534 1
3.3%
7563 1
3.3%
6050 1
3.3%
3228 1
3.3%
2241 1
3.3%
2010 1
3.3%
1935 1
3.3%
1739 1
3.3%

2015년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3004.3
Minimum39
Maximum25132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:56.286654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile61.5
Q1194.75
median1305.5
Q31977.5
95-th percentile14313.85
Maximum25132
Range25093
Interquartile range (IQR)1782.75

Descriptive statistics

Standard deviation5550.4414
Coefficient of variation (CV)1.8474991
Kurtosis8.8877737
Mean3004.3
Median Absolute Deviation (MAD)1095.5
Skewness2.9124983
Sum90129
Variance30807400
MonotonicityNot monotonic
2023-12-13T00:41:56.444723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
295 1
 
3.3%
1896 1
 
3.3%
39 1
 
3.3%
203 1
 
3.3%
187 1
 
3.3%
14821 1
 
3.3%
5929 1
 
3.3%
67 1
 
3.3%
1359 1
 
3.3%
7129 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
39 1
3.3%
57 1
3.3%
67 1
3.3%
90 1
3.3%
98 1
3.3%
172 1
3.3%
187 1
3.3%
192 1
3.3%
203 1
3.3%
217 1
3.3%
ValueCountFrequency (%)
25132 1
3.3%
14821 1
3.3%
13694 1
3.3%
7129 1
3.3%
5929 1
3.3%
2879 1
3.3%
2202 1
3.3%
1990 1
3.3%
1940 1
3.3%
1896 1
3.3%

2016년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3021.8667
Minimum30
Maximum26570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:56.613350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile44.8
Q1217.5
median1339
Q32057.25
95-th percentile14100.25
Maximum26570
Range26540
Interquartile range (IQR)1839.75

Descriptive statistics

Standard deviation5714.0134
Coefficient of variation (CV)1.8908887
Kurtosis10.167133
Mean3021.8667
Median Absolute Deviation (MAD)1114
Skewness3.0753616
Sum90656
Variance32649949
MonotonicityNot monotonic
2023-12-13T00:41:56.741999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
285 1
 
3.3%
1799 1
 
3.3%
30 1
 
3.3%
198 1
 
3.3%
163 1
 
3.3%
15097 1
 
3.3%
5825 1
 
3.3%
47 1
 
3.3%
1431 1
 
3.3%
6901 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
30 1
3.3%
43 1
3.3%
47 1
3.3%
80 1
3.3%
103 1
3.3%
163 1
3.3%
198 1
3.3%
217 1
3.3%
219 1
3.3%
231 1
3.3%
ValueCountFrequency (%)
26570 1
3.3%
15097 1
3.3%
12882 1
3.3%
6901 1
3.3%
5825 1
3.3%
2996 1
3.3%
2184 1
3.3%
2106 1
3.3%
1911 1
3.3%
1799 1
3.3%

2017년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2994.9333
Minimum35
Maximum25649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:56.886641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile51.85
Q1211
median1291
Q32251.75
95-th percentile14019.5
Maximum25649
Range25614
Interquartile range (IQR)2040.75

Descriptive statistics

Standard deviation5524.4776
Coefficient of variation (CV)1.8446079
Kurtosis10.077685
Mean2994.9333
Median Absolute Deviation (MAD)1069
Skewness3.0769127
Sum89848
Variance30519852
MonotonicityNot monotonic
2023-12-13T00:41:57.031317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
312 1
 
3.3%
1817 1
 
3.3%
35 1
 
3.3%
2898 1
 
3.3%
176 1
 
3.3%
15077 1
 
3.3%
5006 1
 
3.3%
46 1
 
3.3%
1380 1
 
3.3%
5977 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
35 1
3.3%
46 1
3.3%
59 1
3.3%
83 1
3.3%
87 1
3.3%
154 1
3.3%
176 1
3.3%
200 1
3.3%
244 1
3.3%
312 1
3.3%
ValueCountFrequency (%)
25649 1
3.3%
15077 1
3.3%
12727 1
3.3%
5977 1
3.3%
5006 1
3.3%
2898 1
3.3%
2771 1
3.3%
2278 1
3.3%
2173 1
3.3%
1953 1
3.3%

2018년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3410.1667
Minimum27
Maximum27686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:57.169792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile49.5
Q1279.5
median1356.5
Q32707.5
95-th percentile15890.65
Maximum27686
Range27659
Interquartile range (IQR)2428

Descriptive statistics

Standard deviation6107.8814
Coefficient of variation (CV)1.79108
Kurtosis8.914696
Mean3410.1667
Median Absolute Deviation (MAD)1131.5
Skewness2.9142009
Sum102305
Variance37306216
MonotonicityNot monotonic
2023-12-13T00:41:57.304708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
358 1
 
3.3%
2309 1
 
3.3%
36 1
 
3.3%
3594 1
 
3.3%
214 1
 
3.3%
17701 1
 
3.3%
6253 1
 
3.3%
27 1
 
3.3%
1721 1
 
3.3%
7959 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
27 1
3.3%
36 1
3.3%
66 1
3.3%
108 1
3.3%
121 1
3.3%
214 1
3.3%
236 1
3.3%
273 1
3.3%
299 1
3.3%
358 1
3.3%
ValueCountFrequency (%)
27686 1
3.3%
17701 1
3.3%
13678 1
3.3%
7959 1
3.3%
6253 1
3.3%
3594 1
3.3%
3042 1
3.3%
2746 1
3.3%
2592 1
3.3%
2309 1
3.3%

2019년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3641.4
Minimum33
Maximum27211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:57.462832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile58.35
Q1329
median1376
Q33105.25
95-th percentile17291.85
Maximum27211
Range27178
Interquartile range (IQR)2776.25

Descriptive statistics

Standard deviation6265.6754
Coefficient of variation (CV)1.7206776
Kurtosis7.3955268
Mean3641.4
Median Absolute Deviation (MAD)1141
Skewness2.7098402
Sum109242
Variance39258688
MonotonicityNot monotonic
2023-12-13T00:41:57.614914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
400 1
 
3.3%
2422 1
 
3.3%
57 1
 
3.3%
4358 1
 
3.3%
247 1
 
3.3%
19626 1
 
3.3%
7138 1
 
3.3%
33 1
 
3.3%
1891 1
 
3.3%
8461 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
33 1
3.3%
57 1
3.3%
60 1
3.3%
111 1
3.3%
152 1
3.3%
223 1
3.3%
247 1
3.3%
323 1
3.3%
347 1
3.3%
400 1
3.3%
ValueCountFrequency (%)
27211 1
3.3%
19626 1
3.3%
14439 1
3.3%
8461 1
3.3%
7138 1
3.3%
4358 1
3.3%
3528 1
3.3%
3172 1
3.3%
2905 1
3.3%
2422 1
3.3%

2020년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3612.6333
Minimum21
Maximum26799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:57.840021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile42.5
Q1316.25
median1299
Q33040
95-th percentile16580.05
Maximum26799
Range26778
Interquartile range (IQR)2723.75

Descriptive statistics

Standard deviation6104.7426
Coefficient of variation (CV)1.6898318
Kurtosis7.4720421
Mean3612.6333
Median Absolute Deviation (MAD)1117.5
Skewness2.6936523
Sum108379
Variance37267882
MonotonicityNot monotonic
2023-12-13T00:41:58.068388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
341 1
 
3.3%
2402 1
 
3.3%
38 1
 
3.3%
4700 1
 
3.3%
230 1
 
3.3%
18592 1
 
3.3%
7014 1
 
3.3%
21 1
 
3.3%
1711 1
 
3.3%
8267 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21 1
3.3%
38 1
3.3%
48 1
3.3%
105 1
3.3%
167 1
3.3%
230 1
3.3%
242 1
3.3%
308 1
3.3%
341 1
3.3%
358 1
3.3%
ValueCountFrequency (%)
26799 1
3.3%
18592 1
3.3%
14121 1
3.3%
8267 1
3.3%
7014 1
3.3%
4700 1
3.3%
4607 1
3.3%
3080 1
3.3%
2920 1
3.3%
2492 1
3.3%

2021년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4090.4333
Minimum30
Maximum29943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:58.240014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile52.55
Q1337
median1448.5
Q33458.75
95-th percentile18013.9
Maximum29943
Range29913
Interquartile range (IQR)3121.75

Descriptive statistics

Standard deviation6784.8979
Coefficient of variation (CV)1.6587235
Kurtosis7.4340527
Mean4090.4333
Median Absolute Deviation (MAD)1346.5
Skewness2.6575539
Sum122713
Variance46034839
MonotonicityNot monotonic
2023-12-13T00:41:58.438421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
408 1
 
3.3%
2854 1
 
3.3%
35 1
 
3.3%
4981 1
 
3.3%
242 1
 
3.3%
20569 1
 
3.3%
8584 1
 
3.3%
30 1
 
3.3%
1754 1
 
3.3%
9213 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
30 1
3.3%
35 1
3.3%
74 1
3.3%
130 1
3.3%
242 1
3.3%
275 1
3.3%
295 1
3.3%
314 1
3.3%
406 1
3.3%
408 1
3.3%
ValueCountFrequency (%)
29943 1
3.3%
20569 1
3.3%
14891 1
3.3%
9213 1
3.3%
8584 1
3.3%
6942 1
3.3%
4981 1
3.3%
3516 1
3.3%
3287 1
3.3%
3125 1
3.3%

2022년 재해자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4344.9333
Minimum29
Maximum31245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T00:41:58.631580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile54.6
Q1389.25
median1361.5
Q33409.5
95-th percentile18305.95
Maximum31245
Range31216
Interquartile range (IQR)3020.25

Descriptive statistics

Standard deviation7090.3085
Coefficient of variation (CV)1.6318567
Kurtosis7.1391645
Mean4344.9333
Median Absolute Deviation (MAD)1267.5
Skewness2.5871355
Sum130348
Variance50272474
MonotonicityNot monotonic
2023-12-13T00:41:58.816301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
666 1
 
3.3%
3157 1
 
3.3%
51 1
 
3.3%
5191 1
 
3.3%
304 1
 
3.3%
21325 1
 
3.3%
10318 1
 
3.3%
29 1
 
3.3%
1785 1
 
3.3%
9701 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
29 1
3.3%
51 1
3.3%
59 1
3.3%
129 1
3.3%
248 1
3.3%
302 1
3.3%
304 1
3.3%
379 1
3.3%
420 1
3.3%
448 1
3.3%
ValueCountFrequency (%)
31245 1
3.3%
21325 1
3.3%
14616 1
3.3%
10318 1
3.3%
9701 1
3.3%
9063 1
3.3%
5191 1
3.3%
3425 1
3.3%
3363 1
3.3%
3344 1
3.3%

Sample

대업종구분2004년 재해자수2005년 재해자수2006년 재해자수2007년 재해자수2008년 재해자수2009년 재해자수2010년 재해자수2011년 재해자수2012년 재해자수2013년 재해자수2014년 재해자수2015년 재해자수2016년 재해자수2017년 재해자수2018년 재해자수2019년 재해자수2020년 재해자수2021년 재해자수2022년 재해자수
0금융및보험업금융및보험업574549611544560484489429393363337295285312358400341408666
1광 업석탄광업및채석업1872185515031273989854853878695730102412521303165319262196239529223425
2광 업석회석·금속·비금속광업및기타광업393364333282304260229225216191211217231244299347358414448
3제조업식료품제조업2127221323012081234222712475216022412265224122022184217325922905292032873344
4제조업섬유및섬유제품제조업19521701162814451379133014161304121611481165102810779761090108199410841167
5제조업목재및종이제품제조업2160213121772047213219992055189517701685172116451558146815801601145716351556
6제조업출판·인쇄·제본업682698727642696677650572571508479442440376440443435406420
7제조업화학및고무제품제조업3943384036533514363234493480367034773261322828792996277130423172308035163363
8제조업의약품·화장품·연탄·석유제품제조업248253256231248249232219220180170172219200273323308314379
9제조업기계기구·금속·비금속광물제품제조업19661186581865818129188921673117521166951664715234145341369412882127271367814439141211489114616
대업종구분2004년 재해자수2005년 재해자수2006년 재해자수2007년 재해자수2008년 재해자수2009년 재해자수2010년 재해자수2011년 재해자수2012년 재해자수2013년 재해자수2014년 재해자수2015년 재해자수2016년 재해자수2017년 재해자수2018년 재해자수2019년 재해자수2020년 재해자수2021년 재해자수2022년 재해자수
20어 업어업90475966706670776262815743596660487459
21농 업농업375401483444527620645575603638621647729555648642639668682
22기타의사업시설관리및사업지원서비스업78008264836983358856110029811861082158441756371296901597779598461826792139701
23기타의사업기타의각종사업2124198521832313226724472633189520401648153613591431138017211891171117541785
24기타의사업해외파견자3111214222315304752516747462733213029
25기타의사업전문·보건·교육·여가관련서비스업36694023463549135414598860985593557461116050592958255006625371387014858410318
26기타의사업도소매·음식·숙박업884695181089211987133651427114382133281300113846147251482115097150771770119626185922056921325
27기타의사업부동산업및임대업147167191181168178175231236203159187163176214247230242304
28기타의사업국가및지방자치단체의사업000000000176205203198289835944358470049815191
29기타의사업주한미군0656759685256494649463930353657383551