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 2004년에서 2022년까지 산업중분류별로 그 산업에 종사하는 근로자수를 나타내는 데이터입니다.
URLhttps://www.data.go.kr/data/15064266/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 18:57:34.806043
Analysis finished2023-12-12 18:57:35.090133
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

2023-12-13T03:57:35.180458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:57:35.335999image/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
2023-12-13T03:57:35.625657image/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%
2023-12-13T03:57:36.166305image/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 근로자수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349103
Minimum0
Maximum2019974
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:36.360755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1291.5
Q136051.5
median115863
Q3352706.75
95-th percentile1269684.3
Maximum2019974
Range2019974
Interquartile range (IQR)316655.25

Descriptive statistics

Standard deviation494123.25
Coefficient of variation (CV)1.4154082
Kurtosis3.6101197
Mean349103
Median Absolute Deviation (MAD)111312.5
Skewness1.9446057
Sum10473090
Variance2.4415779 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:36.558975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
365912 1
 
3.3%
6231 1
 
3.3%
60289 1
 
3.3%
1340769 1
 
3.3%
1021024 1
 
3.3%
24531 1
 
3.3%
699717 1
 
3.3%
1182803 1
 
3.3%
31200 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
2870 1
3.3%
6231 1
3.3%
9167 1
3.3%
24531 1
3.3%
29170 1
3.3%
31200 1
3.3%
50606 1
3.3%
53251 1
3.3%
60289 1
3.3%
ValueCountFrequency (%)
2019974 1
3.3%
1340769 1
3.3%
1182803 1
3.3%
1021024 1
3.3%
965076 1
3.3%
699717 1
3.3%
646127 1
3.3%
365912 1
3.3%
313091 1
3.3%
303873 1
3.3%

2005년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368639.77
Minimum0
Maximum2137745
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:36.789733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4216.95
Q143113.75
median123003.5
Q3362159
95-th percentile1340595.5
Maximum2137745
Range2137745
Interquartile range (IQR)319045.25

Descriptive statistics

Standard deviation523858.66
Coefficient of variation (CV)1.4210585
Kurtosis3.5781574
Mean368639.77
Median Absolute Deviation (MAD)115382
Skewness1.9512303
Sum11059193
Variance2.744279 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:36.997126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
378574 1
 
3.3%
289015 1
 
3.3%
17363 1
 
3.3%
0 1
 
3.3%
74010 1
 
3.3%
1372730 1
 
3.3%
1117933 1
 
3.3%
39871 1
 
3.3%
710667 1
 
3.3%
1301320 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
2646 1
3.3%
6137 1
3.3%
9106 1
3.3%
17363 1
3.3%
29775 1
3.3%
32870 1
3.3%
39871 1
3.3%
52842 1
3.3%
53829 1
3.3%
ValueCountFrequency (%)
2137745 1
3.3%
1372730 1
3.3%
1301320 1
3.3%
1117933 1
3.3%
1029914 1
3.3%
710667 1
3.3%
684964 1
3.3%
378574 1
3.3%
312914 1
3.3%
297203 1
3.3%

2006년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389626.57
Minimum0
Maximum2558093
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:37.181907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4178.4
Q137295.25
median112049
Q3378755
95-th percentile1387787
Maximum2558093
Range2558093
Interquartile range (IQR)341459.75

Descriptive statistics

Standard deviation589381.64
Coefficient of variation (CV)1.5126834
Kurtosis5.4858292
Mean389626.57
Median Absolute Deviation (MAD)104574.5
Skewness2.2494669
Sum11688797
Variance3.4737072 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:37.399020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
399638 1
 
3.3%
299731 1
 
3.3%
17184 1
 
3.3%
0 1
 
3.3%
74396 1
 
3.3%
1481428 1
 
3.3%
1230385 1
 
3.3%
26345 1
 
3.3%
741153 1
 
3.3%
1273337 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
2742 1
3.3%
5934 1
3.3%
9015 1
3.3%
17184 1
3.3%
26345 1
3.3%
30145 1
3.3%
31871 1
3.3%
53568 1
3.3%
53796 1
3.3%
ValueCountFrequency (%)
2558093 1
3.3%
1481428 1
3.3%
1273337 1
3.3%
1230385 1
3.3%
1054433 1
3.3%
741153 1
3.3%
700070 1
3.3%
399638 1
3.3%
316106 1
3.3%
299731 1
3.3%

2007년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417629.3
Minimum0
Maximum2899285
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:37.593867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4379.45
Q139523.25
median120479
Q3384230.25
95-th percentile1515653.3
Maximum2899285
Range2899285
Interquartile range (IQR)344707

Descriptive statistics

Standard deviation656720.96
Coefficient of variation (CV)1.5724973
Kurtosis6.2983566
Mean417629.3
Median Absolute Deviation (MAD)107346.5
Skewness2.3870266
Sum12528879
Variance4.3128242 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:38.259220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
403901 1
 
3.3%
314555 1
 
3.3%
17269 1
 
3.3%
0 1
 
3.3%
80142 1
 
3.3%
1606610 1
 
3.3%
1368244 1
 
3.3%
22146 1
 
3.3%
753662 1
 
3.3%
1404484 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
2768 1
3.3%
6349 1
3.3%
8996 1
3.3%
17269 1
3.3%
22146 1
3.3%
26115 1
3.3%
34703 1
3.3%
53984 1
3.3%
54748 1
3.3%
ValueCountFrequency (%)
2899285 1
3.3%
1606610 1
3.3%
1404484 1
3.3%
1368244 1
3.3%
1099883 1
3.3%
753662 1
3.3%
713650 1
3.3%
403901 1
3.3%
325218 1
3.3%
314555 1
3.3%

2008년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449666.2
Minimum0
Maximum3259512
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:38.461440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5669.5
Q141980.25
median119149.5
Q3508523.25
95-th percentile1642386.2
Maximum3259512
Range3259512
Interquartile range (IQR)466543

Descriptive statistics

Standard deviation726917.55
Coefficient of variation (CV)1.6165715
Kurtosis7.0498711
Mean449666.2
Median Absolute Deviation (MAD)106272
Skewness2.5008024
Sum13489986
Variance5.2840913 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:38.637641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
570253 1
 
3.3%
320549 1
 
3.3%
17243 1
 
3.3%
0 1
 
3.3%
82744 1
 
3.3%
1746365 1
 
3.3%
1515301 1
 
3.3%
28769 1
 
3.3%
774232 1
 
3.3%
1509144 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
5395 1
3.3%
6005 1
3.3%
8512 1
3.3%
17243 1
3.3%
28161 1
3.3%
28769 1
3.3%
37814 1
3.3%
54479 1
3.3%
57304 1
3.3%
ValueCountFrequency (%)
3259512 1
3.3%
1746365 1
3.3%
1515301 1
3.3%
1509144 1
3.3%
1115811 1
3.3%
774232 1
3.3%
718371 1
3.3%
570253 1
3.3%
323334 1
3.3%
320549 1
3.3%

2009년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462830.9
Minimum0
Maximum3206526
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:38.811277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3928.2
Q145071.75
median121217.5
Q3516025.5
95-th percentile1736833.9
Maximum3206526
Range3206526
Interquartile range (IQR)470953.75

Descriptive statistics

Standard deviation740031.89
Coefficient of variation (CV)1.598925
Kurtosis5.8178628
Mean462830.9
Median Absolute Deviation (MAD)107453
Skewness2.338402
Sum13884927
Variance5.476472 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:39.015353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
579275 1
 
3.3%
324406 1
 
3.3%
19087 1
 
3.3%
0 1
 
3.3%
77903 1
 
3.3%
1788583 1
 
3.3%
1662285 1
 
3.3%
29711 1
 
3.3%
770948 1
 
3.3%
1673585 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
2940 1
3.3%
5136 1
3.3%
8442 1
3.3%
19087 1
3.3%
26971 1
3.3%
29711 1
3.3%
42445 1
3.3%
52952 1
3.3%
57513 1
3.3%
ValueCountFrequency (%)
3206526 1
3.3%
1788583 1
3.3%
1673585 1
3.3%
1662285 1
3.3%
1160088 1
3.3%
770948 1
3.3%
717884 1
3.3%
579275 1
3.3%
326277 1
3.3%
324406 1
3.3%

2010년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473291.6
Minimum0
Maximum3200645
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:39.184174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3632.75
Q148517.25
median120969
Q3533000.25
95-th percentile1841052.8
Maximum3200645
Range3200645
Interquartile range (IQR)484483

Descriptive statistics

Standard deviation755233.67
Coefficient of variation (CV)1.5957048
Kurtosis5.1995931
Mean473291.6
Median Absolute Deviation (MAD)107295.5
Skewness2.2607373
Sum14198748
Variance5.7037789 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:39.361061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
601637 1
 
3.3%
320702 1
 
3.3%
19104 1
 
3.3%
0 1
 
3.3%
75749 1
 
3.3%
1843661 1
 
3.3%
1837865 1
 
3.3%
20631 1
 
3.3%
785034 1
 
3.3%
1713411 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
3212 1
3.3%
4147 1
3.3%
8243 1
3.3%
19104 1
3.3%
20631 1
3.3%
32170 1
3.3%
46663 1
3.3%
54080 1
3.3%
59566 1
3.3%
ValueCountFrequency (%)
3200645 1
3.3%
1843661 1
3.3%
1837865 1
3.3%
1713411 1
3.3%
1154769 1
3.3%
785034 1
3.3%
716198 1
3.3%
601637 1
3.3%
327090 1
3.3%
320702 1
3.3%

2011년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean478745.73
Minimum0
Maximum3087131
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:39.549712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3847.8
Q143702.5
median122418
Q3554940.75
95-th percentile1930431.4
Maximum3087131
Range3087131
Interquartile range (IQR)511238.25

Descriptive statistics

Standard deviation749197.03
Coefficient of variation (CV)1.5649164
Kurtosis4.4289363
Mean478745.73
Median Absolute Deviation (MAD)109005.5
Skewness2.1421707
Sum14362372
Variance5.612962 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:39.730588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
624816 1
 
3.3%
331967 1
 
3.3%
19159 1
 
3.3%
0 1
 
3.3%
83146 1
 
3.3%
1839633 1
 
3.3%
2004721 1
 
3.3%
22634 1
 
3.3%
811362 1
 
3.3%
1613095 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
3378 1
3.3%
4422 1
3.3%
7666 1
3.3%
19159 1
3.3%
22634 1
3.3%
33102 1
3.3%
40017 1
3.3%
54759 1
3.3%
62827 1
3.3%
ValueCountFrequency (%)
3087131 1
3.3%
2004721 1
3.3%
1839633 1
3.3%
1613095 1
3.3%
1208882 1
3.3%
811362 1
3.3%
779119 1
3.3%
624816 1
3.3%
345315 1
3.3%
331967 1
3.3%

2012년 근로자수
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518280.77
Minimum0
Maximum2786587
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:39.904451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4450.9
Q148978.25
median133084.5
Q3592806
95-th percentile2246178.7
Maximum2786587
Range2786587
Interquartile range (IQR)543827.75

Descriptive statistics

Standard deviation777283.26
Coefficient of variation (CV)1.4997339
Kurtosis2.2660162
Mean518280.77
Median Absolute Deviation (MAD)119361
Skewness1.807795
Sum15548423
Variance6.0416926 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:40.114706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
658854 1
 
3.3%
385616 1
 
3.3%
19184 1
 
3.3%
0 1
 
3.3%
88044 1
 
3.3%
2118752 1
 
3.3%
2350437 1
 
3.3%
37292 1
 
3.3%
932874 1
 
3.3%
1773377 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
4117 1
3.3%
4859 1
3.3%
8263 1
3.3%
19184 1
3.3%
37292 1
3.3%
38107 1
3.3%
46489 1
3.3%
56446 1
3.3%
67885 1
3.3%
ValueCountFrequency (%)
2786587 1
3.3%
2350437 1
3.3%
2118752 1
3.3%
1773377 1
3.3%
1395698 1
3.3%
932874 1
3.3%
876422 1
3.3%
658854 1
3.3%
394662 1
3.3%
385616 1
3.3%

2013년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean514974.27
Minimum4063
Maximum2730888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:40.394622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4063
5-th percentile5800.9
Q161115.25
median132227
Q3588839.75
95-th percentile2403514.8
Maximum2730888
Range2726825
Interquartile range (IQR)527724.5

Descriptive statistics

Standard deviation781904.14
Coefficient of variation (CV)1.5183363
Kurtosis2.6197224
Mean514974.27
Median Absolute Deviation (MAD)110186.5
Skewness1.8980555
Sum15449228
Variance6.1137409 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:40.601040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
652452 1
 
3.3%
360130 1
 
3.3%
19219 1
 
3.3%
61106 1
 
3.3%
87966 1
 
3.3%
2203905 1
 
3.3%
2730888 1
 
3.3%
25114 1
 
3.3%
799067 1
 
3.3%
1549870 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
4063 1
3.3%
4342 1
3.3%
7584 1
3.3%
19219 1
3.3%
25114 1
3.3%
38726 1
3.3%
50634 1
3.3%
61106 1
3.3%
61143 1
3.3%
66162 1
3.3%
ValueCountFrequency (%)
2730888 1
3.3%
2566832 1
3.3%
2203905 1
3.3%
1549870 1
3.3%
1396078 1
3.3%
865290 1
3.3%
799067 1
3.3%
652452 1
3.3%
398003 1
3.3%
360130 1
3.3%

2014년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean568743.6
Minimum3715
Maximum3249687
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:40.802655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3715
5-th percentile6868.65
Q158973.5
median136730
Q3617096.25
95-th percentile2766979.2
Maximum3249687
Range3245972
Interquartile range (IQR)558122.75

Descriptive statistics

Standard deviation900240.82
Coefficient of variation (CV)1.5828588
Kurtosis3.2942923
Mean568743.6
Median Absolute Deviation (MAD)117302
Skewness2.040652
Sum17062308
Variance8.1043353 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:41.010851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
681236 1
 
3.3%
379003 1
 
3.3%
19252 1
 
3.3%
58071 1
 
3.3%
96833 1
 
3.3%
2507151 1
 
3.3%
2979566 1
 
3.3%
27810 1
 
3.3%
844245 1
 
3.3%
1641938 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3715 1
3.3%
5943 1
3.3%
8000 1
3.3%
19252 1
3.3%
27810 1
3.3%
39814 1
3.3%
55445 1
3.3%
58071 1
3.3%
61681 1
3.3%
72176 1
3.3%
ValueCountFrequency (%)
3249687 1
3.3%
2979566 1
3.3%
2507151 1
3.3%
1641938 1
3.3%
1461146 1
3.3%
893013 1
3.3%
844245 1
3.3%
681236 1
3.3%
424677 1
3.3%
379003 1
3.3%

2015년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean598964.37
Minimum3517
Maximum3358813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:41.198175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3517
5-th percentile6590.45
Q165357.25
median139835.5
Q3641568.75
95-th percentile2973314.9
Maximum3358813
Range3355296
Interquartile range (IQR)576211.5

Descriptive statistics

Standard deviation949615.03
Coefficient of variation (CV)1.5854282
Kurtosis3.2160011
Mean598964.37
Median Absolute Deviation (MAD)126078
Skewness2.0372628
Sum17968931
Variance9.017687 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:41.407364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
705629 1
 
3.3%
400551 1
 
3.3%
19417 1
 
3.3%
62882 1
 
3.3%
106625 1
 
3.3%
2762963 1
 
3.3%
3145421 1
 
3.3%
31501 1
 
3.3%
870243 1
 
3.3%
1702020 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3517 1
3.3%
5357 1
3.3%
8098 1
3.3%
19417 1
3.3%
31501 1
3.3%
42556 1
3.3%
62882 1
3.3%
64244 1
3.3%
68697 1
3.3%
76938 1
3.3%
ValueCountFrequency (%)
3358813 1
3.3%
3145421 1
3.3%
2762963 1
3.3%
1702020 1
3.3%
1524788 1
3.3%
935460 1
3.3%
870243 1
3.3%
705629 1
3.3%
449388 1
3.3%
400551 1
3.3%

2016년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614390.53
Minimum3284
Maximum3260240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:41.622081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3284
5-th percentile6616.1
Q174952.5
median143640.5
Q3685256.25
95-th percentile3088248.4
Maximum3260240
Range3256956
Interquartile range (IQR)610303.75

Descriptive statistics

Standard deviation964520.57
Coefficient of variation (CV)1.5698819
Kurtosis2.9181517
Mean614390.53
Median Absolute Deviation (MAD)129841
Skewness1.9880334
Sum18431716
Variance9.3029994 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:41.834933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
761187 1
 
3.3%
418187 1
 
3.3%
19730 1
 
3.3%
64202 1
 
3.3%
118225 1
 
3.3%
3009280 1
 
3.3%
3260240 1
 
3.3%
35803 1
 
3.3%
896035 1
 
3.3%
1776864 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3284 1
3.3%
5591 1
3.3%
7869 1
3.3%
19730 1
3.3%
35803 1
3.3%
42307 1
3.3%
64202 1
3.3%
72940 1
3.3%
80990 1
3.3%
81561 1
3.3%
ValueCountFrequency (%)
3260240 1
3.3%
3152859 1
3.3%
3009280 1
3.3%
1776864 1
3.3%
1566514 1
3.3%
942768 1
3.3%
896035 1
3.3%
761187 1
3.3%
457464 1
3.3%
418187 1
3.3%

2017년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean618671.4
Minimum3352
Maximum3107362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:42.015206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3352
5-th percentile6440.1
Q177718
median171852
Q3697250
95-th percentile3062571.4
Maximum3107362
Range3104010
Interquartile range (IQR)619532

Descriptive statistics

Standard deviation940397.8
Coefficient of variation (CV)1.5200279
Kurtosis2.8148344
Mean618671.4
Median Absolute Deviation (MAD)158522.5
Skewness1.9579987
Sum18560142
Variance8.8434802 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:42.182998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
764141 1
 
3.3%
425647 1
 
3.3%
18812 1
 
3.3%
496577 1
 
3.3%
121179 1
 
3.3%
3075702 1
 
3.3%
3107362 1
 
3.3%
36678 1
 
3.3%
917824 1
 
3.3%
1736582 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3352 1
3.3%
5289 1
3.3%
7847 1
3.3%
18812 1
3.3%
36678 1
3.3%
41529 1
3.3%
75496 1
3.3%
76033 1
3.3%
82773 1
3.3%
85859 1
3.3%
ValueCountFrequency (%)
3107362 1
3.3%
3075702 1
3.3%
3046523 1
3.3%
1736582 1
3.3%
1559127 1
3.3%
917824 1
3.3%
915768 1
3.3%
764141 1
3.3%
496577 1
3.3%
456710 1
3.3%

2018년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean635781.27
Minimum3007
Maximum3283573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:42.378974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile6889.3
Q184956.25
median157792.5
Q3702569.5
95-th percentile3114799.7
Maximum3283573
Range3280566
Interquartile range (IQR)617613.25

Descriptive statistics

Standard deviation972430.1
Coefficient of variation (CV)1.5295042
Kurtosis2.8138889
Mean635781.27
Median Absolute Deviation (MAD)148491
Skewness1.958319
Sum19073438
Variance9.4562029 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:42.649948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
778105 1
 
3.3%
438500 1
 
3.3%
21237 1
 
3.3%
475963 1
 
3.3%
129366 1
 
3.3%
3254756 1
 
3.3%
3283573 1
 
3.3%
45837 1
 
3.3%
946390 1
 
3.3%
1901808 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3007 1
3.3%
5416 1
3.3%
8690 1
3.3%
21237 1
3.3%
41076 1
3.3%
45837 1
3.3%
76967 1
3.3%
83540 1
3.3%
89205 1
3.3%
89751 1
3.3%
ValueCountFrequency (%)
3283573 1
3.3%
3254756 1
3.3%
2943742 1
3.3%
1901808 1
3.3%
1585679 1
3.3%
946390 1
3.3%
926360 1
3.3%
778105 1
3.3%
475963 1
3.3%
463433 1
3.3%

2019년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624172
Minimum2710
Maximum3429859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:42.849698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2710
5-th percentile6595.65
Q181866.25
median141489.5
Q3711986.25
95-th percentile2908759.4
Maximum3429859
Range3427149
Interquartile range (IQR)630120

Descriptive statistics

Standard deviation952255.63
Coefficient of variation (CV)1.5256302
Kurtosis3.2164383
Mean624172
Median Absolute Deviation (MAD)134730
Skewness2.0084394
Sum18725160
Variance9.0679079 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:43.073205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
777764 1
 
3.3%
472745 1
 
3.3%
21578 1
 
3.3%
514653 1
 
3.3%
129014 1
 
3.3%
3253175 1
 
3.3%
3429859 1
 
3.3%
47451 1
 
3.3%
911134 1
 
3.3%
1933012 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2710 1
3.3%
5121 1
3.3%
8398 1
3.3%
21578 1
3.3%
41402 1
3.3%
47451 1
3.3%
76687 1
3.3%
79482 1
3.3%
89019 1
3.3%
91682 1
3.3%
ValueCountFrequency (%)
3429859 1
3.3%
3253175 1
3.3%
2487807 1
3.3%
1933012 1
3.3%
1543788 1
3.3%
911134 1
3.3%
906585 1
3.3%
777764 1
3.3%
514653 1
3.3%
472745 1
3.3%

2020년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632483.77
Minimum2504
Maximum3638317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:43.295223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2504
5-th percentile6407.15
Q181187.75
median139028.5
Q3738697.25
95-th percentile2846597.4
Maximum3638317
Range3635813
Interquartile range (IQR)657509.5

Descriptive statistics

Standard deviation968862.71
Coefficient of variation (CV)1.5318381
Kurtosis3.6990307
Mean632483.77
Median Absolute Deviation (MAD)132462
Skewness2.079539
Sum18974513
Variance9.3869495 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:43.531292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
782173 1
 
3.3%
482457 1
 
3.3%
21535 1
 
3.3%
608270 1
 
3.3%
131325 1
 
3.3%
3306155 1
 
3.3%
3638317 1
 
3.3%
44208 1
 
3.3%
914065 1
 
3.3%
2019544 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2504 1
3.3%
4973 1
3.3%
8160 1
3.3%
21535 1
3.3%
42654 1
3.3%
44208 1
3.3%
78940 1
3.3%
79034 1
3.3%
87649 1
3.3%
101404 1
3.3%
ValueCountFrequency (%)
3638317 1
3.3%
3306155 1
3.3%
2284916 1
3.3%
2019544 1
3.3%
1508517 1
3.3%
914065 1
3.3%
914017 1
3.3%
782173 1
3.3%
608270 1
3.3%
482457 1
3.3%

2021년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean645952.17
Minimum2425
Maximum3814557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:43.754328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2425
5-th percentile6249.65
Q184451
median137977
Q3752905.25
95-th percentile2879104.7
Maximum3814557
Range3812132
Interquartile range (IQR)668454.25

Descriptive statistics

Standard deviation992740.72
Coefficient of variation (CV)1.5368641
Kurtosis3.8651376
Mean645952.17
Median Absolute Deviation (MAD)131583.5
Skewness2.1051822
Sum19378565
Variance9.8553414 × 1011
MonotonicityNot monotonic
2023-12-13T03:57:44.073616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
781685 1
 
3.3%
514758 1
 
3.3%
21872 1
 
3.3%
666566 1
 
3.3%
138831 1
 
3.3%
3288485 1
 
3.3%
3814557 1
 
3.3%
47982 1
 
3.3%
940195 1
 
3.3%
2061786 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2425 1
3.3%
4955 1
3.3%
7832 1
3.3%
21872 1
3.3%
43138 1
3.3%
47982 1
3.3%
78999 1
3.3%
79791 1
3.3%
98431 1
3.3%
102721 1
3.3%
ValueCountFrequency (%)
3814557 1
3.3%
3288485 1
3.3%
2378751 1
3.3%
2061786 1
3.3%
1479648 1
3.3%
940195 1
3.3%
909307 1
3.3%
781685 1
3.3%
666566 1
3.3%
514758 1
3.3%

2022년 근로자수
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672453.83
Minimum2234
Maximum4101714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T03:57:44.360256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2234
5-th percentile6487.95
Q188890
median141581
Q3781113.75
95-th percentile2998510.8
Maximum4101714
Range4099480
Interquartile range (IQR)692223.75

Descriptive statistics

Standard deviation1045827.8
Coefficient of variation (CV)1.5552411
Kurtosis4.2047419
Mean672453.83
Median Absolute Deviation (MAD)134990.5
Skewness2.1638834
Sum20173615
Variance1.0937559 × 1012
MonotonicityNot monotonic
2023-12-13T03:57:44.638051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
815562 1
 
3.3%
533683 1
 
3.3%
21851 1
 
3.3%
677769 1
 
3.3%
151248 1
 
3.3%
3411267 1
 
3.3%
4101714 1
 
3.3%
48882 1
 
3.3%
957806 1
 
3.3%
2129419 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2234 1
3.3%
5565 1
3.3%
7616 1
3.3%
21851 1
3.3%
42318 1
3.3%
48882 1
3.3%
79103 1
3.3%
84180 1
3.3%
103020 1
3.3%
105199 1
3.3%
ValueCountFrequency (%)
4101714 1
3.3%
3411267 1
3.3%
2494031 1
3.3%
2129419 1
3.3%
1495569 1
3.3%
957806 1
3.3%
920677 1
3.3%
815562 1
3.3%
677769 1
3.3%
533683 1
3.3%

Sample

대업종구분2004년 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
0금융및보험업금융및보험업365912378574399638403901570253579275601637624816658854652452681236705629761187764141778105777764782173781685815562
1광 업석탄광업및채석업6231613759346349600551364147442248594063371535173284335230072710250424252234
2광 업석회석·금속·비금속광업및기타광업9167910690158996851284428243766682637584800080987869784786908398816078327616
3제조업식료품제조업185118185496187152183499186149189699197551202654233811239592253856276619290174297733305672316021327413328898338515
4제조업섬유및섬유제품제조업272928242273220578201244186008177513176925176041200918198917205098207712204339194660190634179174174703170121165924
5제조업목재및종이제품제조업87452885048743389034882378891989451895939986899581106615112822116629117163119732116466115192114654116483
6제조업출판·인쇄·제본업106370104487105539107966103345102963102736104931110615109875111714112749113181111529111142108148106122102721103020
7제조업화학및고무제품제조업303873312914316106325218323334326277327090345315394662398003424677449388457464456710463433452800444007438466437322
8제조업의약품·화장품·연탄·석유제품제조업53251538295356854748573045751359566628276788566162721767693881561858599274597685101859105005109109
9제조업기계기구·금속·비금속광물제품제조업965076102991410544331099883111581111600881154769120888213956981396078146114615247881566514155912715856791543788150851714796481495569
대업종구분2004년 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
20어 업어업2870264627422768539529403212337841174342594353575591528954165121497349555565
21농 업농업31200328703187134703378144244546663400174648950634616816869780990760338354079482789407899984180
22기타의사업시설관리및사업지원서비스업1182803130132012733371404484150914416735851713411161309517733771549870164193817020201776864173658219018081933012201954420617862129419
23기타의사업기타의각종사업699717710667741153753662774232770948785034811362932874799067844245870243896035917824946390911134914065940195957806
24기타의사업해외파견자24531398712634522146287692971120631226343729225114278103150135803366784583747451442084798248882
25기타의사업전문·보건·교육·여가관련서비스업1021024111793312303851368244151530116622851837865200472123504372730888297956631454213260240310736232835733429859363831738145574101714
26기타의사업도소매·음식·숙박업1340769137273014814281606610174636517885831843661183963321187522203905250715127629633009280307570232547563253175330615532884853411267
27기타의사업부동산업및임대업6028974010743968014282744779037574983146880448796696833106625118225121179129366129014131325138831151248
28기타의사업국가및지방자치단체의사업00000000061106580716288264202496577475963514653608270666566677769
29기타의사업주한미군0173631718417269172431908719104191591918419219192521941719730188122123721578215352187221851