Overview

Dataset statistics

Number of variables22
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory202.5 B

Variable types

Text1
Numeric21

Dataset

Description공무원연금기금(재해보상특별회계) 사업수익, 사업외수익, 특별수익, 사업비용, 관리운영비, 사업외비용 등 손익계산서에 대한 데이터입니다.
URLhttps://www.data.go.kr/data/15054067/fileData.do

Alerts

구분 has unique valuesUnique
2002 has 9 (37.5%) zerosZeros
2003 has 7 (29.2%) zerosZeros
2004 has 7 (29.2%) zerosZeros
2005 has 7 (29.2%) zerosZeros
2006 has 6 (25.0%) zerosZeros
2007 has 6 (25.0%) zerosZeros
2008 has 6 (25.0%) zerosZeros
2009 has 6 (25.0%) zerosZeros
2010 has 7 (29.2%) zerosZeros
2011 has 7 (29.2%) zerosZeros
2012 has 7 (29.2%) zerosZeros
2013 has 7 (29.2%) zerosZeros
2014 has 8 (33.3%) zerosZeros
2015 has 7 (29.2%) zerosZeros
2016 has 6 (25.0%) zerosZeros
2017 has 5 (20.8%) zerosZeros
2018 has 6 (25.0%) zerosZeros
2019 has 6 (25.0%) zerosZeros
2020 has 3 (12.5%) zerosZeros
2021 has 4 (16.7%) zerosZeros
2022 has 3 (12.5%) zerosZeros

Reproduction

Analysis started2023-12-12 17:32:06.927722
Analysis finished2023-12-12 17:32:07.128282
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T02:32:07.237373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.9166667
Min length4

Characters and Unicode

Total characters190
Distinct characters63
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st rowI. 사업수익
2nd row1. 재해보상수입
3rd rowII. 사업외수익
4th row[수익]
5th rowI. 사업비용
ValueCountFrequency (%)
1 4
 
8.9%
2 3
 
6.7%
i 2
 
4.4%
ii 2
 
4.4%
사업외비용 2
 
4.4%
업무위탁비 1
 
2.2%
장해급여 1
 
2.2%
1
 
2.2%
순직급여 1
 
2.2%
3 1
 
2.2%
Other values (27) 27
60.0%
2023-12-13T02:32:07.519787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
11.1%
. 21
 
11.1%
13
 
6.8%
I 9
 
4.7%
9
 
4.7%
8
 
4.2%
7
 
3.7%
7
 
3.7%
6
 
3.2%
4
 
2.1%
Other values (53) 85
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
64.2%
Space Separator 21
 
11.1%
Other Punctuation 21
 
11.1%
Uppercase Letter 9
 
4.7%
Decimal Number 9
 
4.7%
Close Punctuation 4
 
2.1%
Open Punctuation 4
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
10.7%
9
 
7.4%
8
 
6.6%
7
 
5.7%
7
 
5.7%
6
 
4.9%
4
 
3.3%
4
 
3.3%
4
 
3.3%
3
 
2.5%
Other values (42) 57
46.7%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 3
33.3%
3 1
 
11.1%
4 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
] 3
75.0%
) 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 3
75.0%
( 1
 
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
64.2%
Common 59
31.1%
Latin 9
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
10.7%
9
 
7.4%
8
 
6.6%
7
 
5.7%
7
 
5.7%
6
 
4.9%
4
 
3.3%
4
 
3.3%
4
 
3.3%
3
 
2.5%
Other values (42) 57
46.7%
Common
ValueCountFrequency (%)
21
35.6%
. 21
35.6%
1 4
 
6.8%
2 3
 
5.1%
] 3
 
5.1%
[ 3
 
5.1%
3 1
 
1.7%
4 1
 
1.7%
( 1
 
1.7%
) 1
 
1.7%
Latin
ValueCountFrequency (%)
I 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
64.2%
ASCII 68
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
30.9%
. 21
30.9%
I 9
13.2%
1 4
 
5.9%
2 3
 
4.4%
] 3
 
4.4%
[ 3
 
4.4%
3 1
 
1.5%
4 1
 
1.5%
( 1
 
1.5%
Hangul
ValueCountFrequency (%)
13
 
10.7%
9
 
7.4%
8
 
6.6%
7
 
5.7%
7
 
5.7%
6
 
4.9%
4
 
3.3%
4
 
3.3%
4
 
3.3%
3
 
2.5%
Other values (42) 57
46.7%

2002
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18771589
Minimum0
Maximum64880281
Zeros9
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:07.633173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median888571
Q345875171
95-th percentile64730920
Maximum64880281
Range64880281
Interquartile range (IQR)45875171

Descriptive statistics

Standard deviation27980926
Coefficient of variation (CV)1.4905998
Kurtosis-0.98731169
Mean18771589
Median Absolute Deviation (MAD)888571
Skewness0.98567941
Sum4.5051813 × 108
Variance7.8293223 × 1014
MonotonicityNot monotonic
2023-12-13T02:32:07.748491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
37.5%
63884543 2
 
8.3%
64880281 2
 
8.3%
888571 2
 
8.3%
995738 1
 
4.2%
62400117 1
 
4.2%
62232183 1
 
4.2%
40422834 1
 
4.2%
21809349 1
 
4.2%
167933 1
 
4.2%
Other values (3) 3
 
12.5%
ValueCountFrequency (%)
0 9
37.5%
167933 1
 
4.2%
383559 1
 
4.2%
888571 2
 
8.3%
995738 1
 
4.2%
1208034 1
 
4.2%
1591593 1
 
4.2%
21809349 1
 
4.2%
40422834 1
 
4.2%
62232183 1
 
4.2%
ValueCountFrequency (%)
64880281 2
8.3%
63884543 2
8.3%
62400117 1
4.2%
62232183 1
4.2%
40422834 1
4.2%
21809349 1
4.2%
1591593 1
4.2%
1208034 1
4.2%
995738 1
4.2%
888571 2
8.3%

2003
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22193754
Minimum0
Maximum76780202
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:07.882174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median989866
Q356411289
95-th percentile76498233
Maximum76780202
Range76780202
Interquartile range (IQR)56411289

Descriptive statistics

Standard deviation33122713
Coefficient of variation (CV)1.492434
Kurtosis-1.0069511
Mean22193754
Median Absolute Deviation (MAD)989866
Skewness0.98376874
Sum5.3265009 × 108
Variance1.0971141 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:08.010492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
76780202 2
 
8.3%
74900407 2
 
8.3%
74025032 1
 
4.2%
1354 1
 
4.2%
73848671 1
 
4.2%
50598828 1
 
4.2%
23249843 1
 
4.2%
1879795 1
 
4.2%
175007 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
1354 1
 
4.2%
10915 1
 
4.2%
175007 1
 
4.2%
498716 1
 
4.2%
984408 1
 
4.2%
995324 1
 
4.2%
1261130 1
 
4.2%
1759846 1
 
4.2%
1879795 1
 
4.2%
ValueCountFrequency (%)
76780202 2
8.3%
74900407 2
8.3%
74025032 1
4.2%
73848671 1
4.2%
50598828 1
4.2%
23249843 1
4.2%
1879795 1
4.2%
1759846 1
4.2%
1261130 1
4.2%
995324 1
4.2%

2004
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24214411
Minimum0
Maximum83726727
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:08.147906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1150214
Q362289901
95-th percentile83486028
Maximum83726727
Range83726727
Interquartile range (IQR)62289901

Descriptive statistics

Standard deviation36219121
Coefficient of variation (CV)1.4957672
Kurtosis-1.0113748
Mean24214411
Median Absolute Deviation (MAD)1150214
Skewness0.98480798
Sum5.8114586 × 108
Variance1.3118247 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:08.256231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
83726727 2
 
8.3%
82122070 2
 
8.3%
80715946 1
 
4.2%
3012 1
 
4.2%
80390153 1
 
4.2%
56256484 1
 
4.2%
24133669 1
 
4.2%
1604657 1
 
4.2%
322781 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
3012 1
 
4.2%
7348 1
 
4.2%
322781 1
 
4.2%
534508 1
 
4.2%
1146540 1
 
4.2%
1153888 1
 
4.2%
1322386 1
 
4.2%
1604657 1
 
4.2%
1856894 1
 
4.2%
ValueCountFrequency (%)
83726727 2
8.3%
82122070 2
8.3%
80715946 1
4.2%
80390153 1
4.2%
56256484 1
4.2%
24133669 1
4.2%
1856894 1
4.2%
1604657 1
4.2%
1322386 1
4.2%
1153888 1
4.2%

2005
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24640198
Minimum0
Maximum85162809
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:08.380320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1170380
Q364145900
95-th percentile84943148
Maximum85162809
Range85162809
Interquartile range (IQR)64145900

Descriptive statistics

Standard deviation36913016
Coefficient of variation (CV)1.4980811
Kurtosis-1.0175229
Mean24640198
Median Absolute Deviation (MAD)1170380
Skewness0.98461392
Sum5.9136476 × 108
Variance1.3625708 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:08.498960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
85162809 2
 
8.3%
83698403 2
 
8.3%
82060737 1
 
4.2%
3478 1
 
4.2%
81852316 1
 
4.2%
58243762 1
 
4.2%
23608554 1
 
4.2%
1464406 1
 
4.2%
204943 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
2350 1
 
4.2%
3478 1
 
4.2%
204943 1
 
4.2%
620825 1
 
4.2%
1169205 1
 
4.2%
1171555 1
 
4.2%
1309692 1
 
4.2%
1464406 1
 
4.2%
1930516 1
 
4.2%
ValueCountFrequency (%)
85162809 2
8.3%
83698403 2
8.3%
82060737 1
4.2%
81852316 1
4.2%
58243762 1
4.2%
23608554 1
4.2%
1930516 1
4.2%
1464406 1
4.2%
1309692 1
4.2%
1171555 1
4.2%

2006
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22815517
Minimum0
Maximum78945449
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:08.643363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11545.75
median1022635.5
Q357406090
95-th percentile78647355
Maximum78945449
Range78945449
Interquartile range (IQR)57404544

Descriptive statistics

Standard deviation34000764
Coefficient of variation (CV)1.4902474
Kurtosis-1.0002574
Mean22815517
Median Absolute Deviation (MAD)1022635.5
Skewness0.98505183
Sum5.4757241 × 108
Variance1.156052 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:08.775954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
25.0%
78945449 2
 
8.3%
76958154 2
 
8.3%
76035879 1
 
4.2%
2945 1
 
4.2%
75887008 1
 
4.2%
51245784 1
 
4.2%
24368949 1
 
4.2%
272275 1
 
4.2%
1987295 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 6
25.0%
2061 1
 
4.2%
2945 1
 
4.2%
145926 1
 
4.2%
272275 1
 
4.2%
342899 1
 
4.2%
1021605 1
 
4.2%
1023666 1
 
4.2%
1543005 1
 
4.2%
1885904 1
 
4.2%
ValueCountFrequency (%)
78945449 2
8.3%
76958154 2
8.3%
76035879 1
4.2%
75887008 1
4.2%
51245784 1
4.2%
24368949 1
4.2%
1987295 1
4.2%
1885904 1
4.2%
1543005 1
4.2%
1023666 1
4.2%

2007
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25458486
Minimum0
Maximum88149593
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:08.933144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11242
median790596
Q364976824
95-th percentile87736667
Maximum88149593
Range88149593
Interquartile range (IQR)64975582

Descriptive statistics

Standard deviation37944827
Coefficient of variation (CV)1.4904589
Kurtosis-1.0077561
Mean25458486
Median Absolute Deviation (MAD)790596
Skewness0.98386477
Sum6.1100366 × 108
Variance1.4398099 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:09.070060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
25.0%
88149593 2
 
8.3%
85081922 2
 
8.3%
85396752 1
 
4.2%
2353 1
 
4.2%
85173775 1
 
4.2%
58275124 1
 
4.2%
26295542 1
 
4.2%
603109 1
 
4.2%
3067671 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 6
25.0%
1656 1
 
4.2%
2353 1
 
4.2%
220624 1
 
4.2%
340176 1
 
4.2%
603109 1
 
4.2%
789768 1
 
4.2%
791424 1
 
4.2%
1621241 1
 
4.2%
1961417 1
 
4.2%
ValueCountFrequency (%)
88149593 2
8.3%
85396752 1
4.2%
85173775 1
4.2%
85081922 2
8.3%
58275124 1
4.2%
26295542 1
4.2%
3067671 1
4.2%
1961417 1
4.2%
1621241 1
4.2%
791424 1
4.2%

2008
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26298559
Minimum0
Maximum91091573
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:09.189912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11841.25
median1273802
Q365938864
95-th percentile90652711
Maximum91091573
Range91091573
Interquartile range (IQR)65937022

Descriptive statistics

Standard deviation39071180
Coefficient of variation (CV)1.4856776
Kurtosis-0.99116678
Mean26298559
Median Absolute Deviation (MAD)1273802
Skewness0.98920192
Sum6.3116541 × 108
Variance1.5265571 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:09.316985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
25.0%
91091573 2
 
8.3%
87723449 2
 
8.3%
88165829 1
 
4.2%
2499 1
 
4.2%
87984096 1
 
4.2%
58677335 1
 
4.2%
27226152 1
 
4.2%
2080609 1
 
4.2%
3368124 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 6
25.0%
2455 1
 
4.2%
2499 1
 
4.2%
179234 1
 
4.2%
378140 1
 
4.2%
798975 1
 
4.2%
801430 1
 
4.2%
1746174 1
 
4.2%
2080609 1
 
4.2%
2124314 1
 
4.2%
ValueCountFrequency (%)
91091573 2
8.3%
88165829 1
4.2%
87984096 1
4.2%
87723449 2
8.3%
58677335 1
4.2%
27226152 1
4.2%
3368124 1
4.2%
2124314 1
4.2%
2080609 1
4.2%
1746174 1
4.2%

2009
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26360960
Minimum0
Maximum91270806
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:09.446428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11461.75
median771145
Q367266866
95-th percentile90866354
Maximum91270806
Range91270806
Interquartile range (IQR)67265404

Descriptive statistics

Standard deviation39291939
Coefficient of variation (CV)1.4905352
Kurtosis-1.0080197
Mean26360960
Median Absolute Deviation (MAD)771145
Skewness0.98376906
Sum6.3266303 × 108
Variance1.5438564 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:09.566702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
25.0%
91270806 2
 
8.3%
87933800 2
 
8.3%
88574459 1
 
4.2%
1949 1
 
4.2%
88375200 1
 
4.2%
60377888 1
 
4.2%
27213039 1
 
4.2%
784273 1
 
4.2%
3337006 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 6
25.0%
1949 1
 
4.2%
3106 1
 
4.2%
197310 1
 
4.2%
396001 1
 
4.2%
754911 1
 
4.2%
758017 1
 
4.2%
784273 1
 
4.2%
1542329 1
 
4.2%
1938330 1
 
4.2%
ValueCountFrequency (%)
91270806 2
8.3%
88574459 1
4.2%
88375200 1
4.2%
87933800 2
8.3%
60377888 1
4.2%
27213039 1
4.2%
3337006 1
4.2%
1938330 1
4.2%
1542329 1
4.2%
784273 1
4.2%

2010
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28294678
Minimum0
Maximum97815740
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:09.743064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1076887.5
Q368642374
95-th percentile97478061
Maximum97815740
Range97815740
Interquartile range (IQR)68642374

Descriptive statistics

Standard deviation42096261
Coefficient of variation (CV)1.4877802
Kurtosis-0.97987359
Mean28294678
Median Absolute Deviation (MAD)1076887.5
Skewness0.98832076
Sum6.7907226 × 108
Variance1.7720952 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:09.865468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
95564549 2
 
8.3%
97815740 2
 
8.3%
2561278 1
 
4.2%
648976 1
 
4.2%
13797 1
 
4.2%
662773 1
 
4.2%
438375 1
 
4.2%
2122903 1
 
4.2%
1491002 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
13797 1
 
4.2%
162673 1
 
4.2%
438375 1
 
4.2%
648976 1
 
4.2%
662773 1
 
4.2%
1491002 1
 
4.2%
2122903 1
 
4.2%
2251191 1
 
4.2%
2561278 1
 
4.2%
ValueCountFrequency (%)
97815740 2
8.3%
95564549 2
8.3%
94591689 1
4.2%
94429016 1
4.2%
60046826 1
4.2%
32891188 1
4.2%
2561278 1
4.2%
2251191 1
4.2%
2122903 1
4.2%
1491002 1
4.2%

2011
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29920113
Minimum0
Maximum1.0341464 × 108
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:10.016501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1322115
Q373466908
95-th percentile1.0302902 × 108
Maximum1.0341464 × 108
Range1.0341464 × 108
Interquartile range (IQR)73466908

Descriptive statistics

Standard deviation44513646
Coefficient of variation (CV)1.4877499
Kurtosis-0.97601315
Mean29920113
Median Absolute Deviation (MAD)1322115
Skewness0.99330623
Sum7.1808271 × 108
Variance1.9814647 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:10.219285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
100843845 2
 
8.3%
103414636 2
 
8.3%
2291596 1
 
4.2%
772247 1
 
4.2%
6629 1
 
4.2%
778876 1
 
4.2%
426242 1
 
4.2%
1865354 1
 
4.2%
3494715 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
6629 1
 
4.2%
178478 1
 
4.2%
426242 1
 
4.2%
772247 1
 
4.2%
778876 1
 
4.2%
1865354 1
 
4.2%
2291596 1
 
4.2%
2570791 1
 
4.2%
3494715 1
 
4.2%
ValueCountFrequency (%)
103414636 2
8.3%
100843845 2
8.3%
100344164 1
4.2%
100165686 1
4.2%
64567315 1
4.2%
32103656 1
4.2%
3494715 1
4.2%
2570791 1
4.2%
2291596 1
4.2%
1865354 1
4.2%

2012
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30351845
Minimum0
Maximum1.0474621 × 108
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:10.391184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1018786
Q375419976
95-th percentile1.0447265 × 108
Maximum1.0474621 × 108
Range1.0474621 × 108
Interquartile range (IQR)75419976

Descriptive statistics

Standard deviation45375357
Coefficient of variation (CV)1.4949785
Kurtosis-0.99206312
Mean30351845
Median Absolute Deviation (MAD)1018786
Skewness0.98667101
Sum7.2844428 × 108
Variance2.058923 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:10.542395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
102922470 2
 
8.3%
104746210 2
 
8.3%
2620237 1
 
4.2%
182804 1
 
4.2%
10422 1
 
4.2%
193226 1
 
4.2%
436654 1
 
4.2%
2183583 1
 
4.2%
1600918 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
10422 1
 
4.2%
141982 1
 
4.2%
182804 1
 
4.2%
193226 1
 
4.2%
436654 1
 
4.2%
1600918 1
 
4.2%
1823740 1
 
4.2%
2183583 1
 
4.2%
2620237 1
 
4.2%
ValueCountFrequency (%)
104746210 2
8.3%
102922470 2
8.3%
101932747 1
4.2%
101790765 1
4.2%
66629713 1
4.2%
33560134 1
4.2%
2620237 1
4.2%
2183583 1
4.2%
1823740 1
4.2%
1600918 1
4.2%

2013
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32846500
Minimum0
Maximum1.1314139 × 108
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:10.690816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median665954.5
Q380632334
95-th percentile1.1301315 × 108
Maximum1.1314139 × 108
Range1.1314139 × 108
Interquartile range (IQR)80632334

Descriptive statistics

Standard deviation49176119
Coefficient of variation (CV)1.4971494
Kurtosis-0.97735928
Mean32846500
Median Absolute Deviation (MAD)665954.5
Skewness0.99232439
Sum7.88316 × 108
Variance2.4182907 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:10.850856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
112286485 2
 
8.3%
113141390 2
 
8.3%
2651050 1
 
4.2%
7529 1
 
4.2%
14052 1
 
4.2%
21581 1
 
4.2%
477004 1
 
4.2%
2174046 1
 
4.2%
3647118 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
7529 1
 
4.2%
14052 1
 
4.2%
21581 1
 
4.2%
146189 1
 
4.2%
477004 1
 
4.2%
854905 1
 
4.2%
2174046 1
 
4.2%
2651050 1
 
4.2%
3647118 1
 
4.2%
ValueCountFrequency (%)
113141390 2
8.3%
112286485 2
8.3%
110468759 1
4.2%
110322570 1
4.2%
70735588 1
4.2%
35939864 1
4.2%
3647118 1
4.2%
2651050 1
4.2%
2174046 1
4.2%
854905 1
4.2%

2014
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33840993
Minimum0
Maximum1.1667767 × 108
Zeros8
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:11.004786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1016700.5
Q383041505
95-th percentile1.1646054 × 108
Maximum1.1667767 × 108
Range1.1667767 × 108
Interquartile range (IQR)83041505

Descriptive statistics

Standard deviation50558487
Coefficient of variation (CV)1.4940013
Kurtosis-0.97360949
Mean33840993
Median Absolute Deviation (MAD)1016700.5
Skewness0.99447755
Sum8.1218383 × 108
Variance2.5561606 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:11.174521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 8
33.3%
115230144 2
 
8.3%
116677671 2
 
8.3%
8914 2
 
8.3%
1447527 1
 
4.2%
113775372 1
 
4.2%
113565332 1
 
4.2%
72866896 1
 
4.2%
36122709 1
 
4.2%
4575727 1
 
4.2%
Other values (4) 4
16.7%
ValueCountFrequency (%)
0 8
33.3%
8914 2
 
8.3%
210040 1
 
4.2%
585874 1
 
4.2%
1447527 1
 
4.2%
2307511 1
 
4.2%
2893385 1
 
4.2%
4575727 1
 
4.2%
36122709 1
 
4.2%
72866896 1
 
4.2%
ValueCountFrequency (%)
116677671 2
8.3%
115230144 2
8.3%
113775372 1
4.2%
113565332 1
4.2%
72866896 1
4.2%
36122709 1
4.2%
4575727 1
4.2%
2893385 1
4.2%
2307511 1
4.2%
1447527 1
4.2%

2015
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36353025
Minimum0
Maximum1.2526878 × 108
Zeros7
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:11.319962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1117810
Q390814172
95-th percentile1.2499292 × 108
Maximum1.2526878 × 108
Range1.2526878 × 108
Interquartile range (IQR)90814172

Descriptive statistics

Standard deviation54487356
Coefficient of variation (CV)1.4988397
Kurtosis-0.9888923
Mean36353025
Median Absolute Deviation (MAD)1117810
Skewness0.98972092
Sum8.724726 × 108
Variance2.9688719 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:11.454063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
29.2%
123429768 2
 
8.3%
125268776 2
 
8.3%
2235620 1
 
4.2%
714 1
 
4.2%
4019 1
 
4.2%
4733 1
 
4.2%
470811 1
 
4.2%
1764809 1
 
4.2%
3786321 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 7
29.2%
714 1
 
4.2%
4019 1
 
4.2%
4733 1
 
4.2%
329476 1
 
4.2%
470811 1
 
4.2%
1764809 1
 
4.2%
1839008 1
 
4.2%
2235620 1
 
4.2%
3786321 1
 
4.2%
ValueCountFrequency (%)
125268776 2
8.3%
123429768 2
8.3%
123028423 1
4.2%
122698947 1
4.2%
80185913 1
4.2%
38726713 1
4.2%
3786321 1
4.2%
2235620 1
4.2%
1839008 1
4.2%
1764809 1
4.2%

2016
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39365256
Minimum0
Maximum1.3573816 × 108
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:11.606540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17113.75
median712942
Q399201293
95-th percentile1.3560724 × 108
Maximum1.3573816 × 108
Range1.3573816 × 108
Interquartile range (IQR)99194179

Descriptive statistics

Standard deviation58971712
Coefficient of variation (CV)1.498065
Kurtosis-0.99071968
Mean39365256
Median Absolute Deviation (MAD)712942
Skewness0.99120546
Sum9.4476614 × 108
Variance3.4776628 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:12.091560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
25.0%
134865352 2
 
8.3%
135738158 2
 
8.3%
9485 2
 
8.3%
165345 1
 
4.2%
553078 1
 
4.2%
3696822 1
 
4.2%
4249900 1
 
4.2%
268777 1
 
4.2%
2795299 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 6
25.0%
9485 2
 
8.3%
108722 1
 
4.2%
165345 1
 
4.2%
268777 1
 
4.2%
553078 1
 
4.2%
872806 1
 
4.2%
2795299 1
 
4.2%
3696822 1
 
4.2%
4249900 1
 
4.2%
ValueCountFrequency (%)
135738158 2
8.3%
134865352 2
8.3%
131478773 1
4.2%
131209996 1
4.2%
88531725 1
4.2%
39608905 1
4.2%
4249900 1
4.2%
3696822 1
4.2%
2795299 1
4.2%
872806 1
4.2%

2017
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44175389
Minimum0
Maximum1.5249451 × 108
Zeros5
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:12.259077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18543.75
median1155451
Q31.1056626 × 108
95-th percentile1.5225632 × 108
Maximum1.5249451 × 108
Range1.5249451 × 108
Interquartile range (IQR)1.1055771 × 108

Descriptive statistics

Standard deviation65955866
Coefficient of variation (CV)1.4930455
Kurtosis-0.97978041
Mean44175389
Median Absolute Deviation (MAD)1155451
Skewness0.99621018
Sum1.0602093 × 109
Variance4.3501762 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:12.403332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5
20.8%
150906622 2
 
8.3%
152494506 2
 
8.3%
386747 1
 
4.2%
10653 1
 
4.2%
2216 1
 
4.2%
12869 1
 
4.2%
723018 1
 
4.2%
4541693 1
 
4.2%
5264711 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 5
20.8%
2216 1
 
4.2%
10653 1
 
4.2%
12869 1
 
4.2%
147673 1
 
4.2%
174008 1
 
4.2%
386747 1
 
4.2%
723018 1
 
4.2%
1587884 1
 
4.2%
4541693 1
 
4.2%
ValueCountFrequency (%)
152494506 2
8.3%
150906622 2
8.3%
147216926 1
4.2%
146830179 1
4.2%
98478285 1
4.2%
42716821 1
4.2%
5313392 1
4.2%
5264711 1
4.2%
4541693 1
4.2%
1587884 1
4.2%

2018
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42947740
Minimum0
Maximum1.5911303 × 108
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:12.556801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12463
median1815227.5
Q373640606
95-th percentile1.586796 × 108
Maximum1.5911303 × 108
Range1.5911303 × 108
Interquartile range (IQR)73638142

Descriptive statistics

Standard deviation67704701
Coefficient of variation (CV)1.5764438
Kurtosis-0.6283236
Mean42947740
Median Absolute Deviation (MAD)1815227.5
Skewness1.1602514
Sum1.0307458 × 109
Variance4.5839265 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:12.697379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
25.0%
156223469 2
 
8.3%
159113030 2
 
8.3%
3284 2
 
8.3%
102205 1
 
4.2%
740894 1
 
4.2%
4319326 1
 
4.2%
5060220 1
 
4.2%
387901 1
 
4.2%
6220543 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 6
25.0%
3284 2
 
8.3%
102205 1
 
4.2%
248789 1
 
4.2%
387901 1
 
4.2%
740894 1
 
4.2%
2889561 1
 
4.2%
4319326 1
 
4.2%
5060220 1
 
4.2%
6220543 1
 
4.2%
ValueCountFrequency (%)
159113030 2
8.3%
156223469 2
8.3%
154049526 1
4.2%
153520335 1
4.2%
47014029 1
4.2%
25512874 1
4.2%
6220543 1
4.2%
5060220 1
4.2%
4319326 1
4.2%
2889561 1
4.2%

2019
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47773452
Minimum0
Maximum1.7699308 × 108
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:12.858248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113988.25
median3148062.5
Q376797158
95-th percentile1.7676804 × 108
Maximum1.7699308 × 108
Range1.7699308 × 108
Interquartile range (IQR)76783170

Descriptive statistics

Standard deviation74932130
Coefficient of variation (CV)1.5684889
Kurtosis-0.61086135
Mean47773452
Median Absolute Deviation (MAD)3148062.5
Skewness1.1660136
Sum1.1465629 × 109
Variance5.6148241 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:12.998161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
25.0%
175492806 2
 
8.3%
176993083 2
 
8.3%
398493 1
 
4.2%
3138737 1
 
4.2%
18651 1
 
4.2%
3157388 1
 
4.2%
826077 1
 
4.2%
5132206 1
 
4.2%
5958283 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
0 6
25.0%
18651 1
 
4.2%
172412 1
 
4.2%
398493 1
 
4.2%
826077 1
 
4.2%
1500277 1
 
4.2%
3138737 1
 
4.2%
3157388 1
 
4.2%
5132206 1
 
4.2%
5408492 1
 
4.2%
ValueCountFrequency (%)
176993083 2
8.3%
175492806 2
8.3%
167877412 1
4.2%
167478919 1
4.2%
46569905 1
4.2%
33953828 1
4.2%
5958283 1
4.2%
5408492 1
4.2%
5132206 1
4.2%
3157388 1
4.2%

2020
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52374782
Minimum0
Maximum1.8078599 × 108
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:13.133555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1169854
median5508877
Q389641510
95-th percentile1.8050515 × 108
Maximum1.8078599 × 108
Range1.8078599 × 108
Interquartile range (IQR)89471656

Descriptive statistics

Standard deviation75847430
Coefficient of variation (CV)1.448167
Kurtosis-0.71184564
Mean52374782
Median Absolute Deviation (MAD)5508877
Skewness1.0920661
Sum1.2569948 × 109
Variance5.7528326 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:13.271311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 3
 
12.5%
178913685 2
 
8.3%
180785993 2
 
8.3%
204000 1
 
4.2%
52800 1
 
4.2%
14616 1
 
4.2%
67416 1
 
4.2%
929956 1
 
4.2%
5043899 1
 
4.2%
5973855 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
0 3
12.5%
14616 1
 
4.2%
52800 1
 
4.2%
67416 1
 
4.2%
204000 1
 
4.2%
239904 1
 
4.2%
389605 1
 
4.2%
929956 1
 
4.2%
1872308 1
 
4.2%
5043899 1
 
4.2%
ValueCountFrequency (%)
180785993 2
8.3%
178913685 2
8.3%
174744722 1
4.2%
174151117 1
4.2%
61471641 1
4.2%
47807159 1
4.2%
34216742 1
4.2%
23420557 1
4.2%
6995114 1
4.2%
5973855 1
4.2%

2021
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52752452
Minimum0
Maximum1.8217161 × 108
Zeros4
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:13.408895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178059.5
median5930321
Q391702100
95-th percentile1.8184103 × 108
Maximum1.8217161 × 108
Range1.8217161 × 108
Interquartile range (IQR)91624041

Descriptive statistics

Standard deviation76353982
Coefficient of variation (CV)1.4474016
Kurtosis-0.71504211
Mean52752452
Median Absolute Deviation (MAD)5930321
Skewness1.0907317
Sum1.2660589 × 109
Variance5.8299305 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:13.548869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
16.7%
179967741 2
 
8.3%
182171609 2
 
8.3%
25681 2
 
8.3%
26590610 1
 
4.2%
825654 1
 
4.2%
5517494 1
 
4.2%
6343148 1
 
4.2%
365708 1
 
4.2%
204000 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
0 4
16.7%
25681 2
8.3%
95519 1
 
4.2%
204000 1
 
4.2%
365708 1
 
4.2%
825654 1
 
4.2%
2203868 1
 
4.2%
5517494 1
 
4.2%
6343148 1
 
4.2%
6360723 1
 
4.2%
ValueCountFrequency (%)
182171609 2
8.3%
179967741 2
8.3%
175802780 1
4.2%
175233072 1
4.2%
63858443 1
4.2%
47639021 1
4.2%
30688756 1
4.2%
26590610 1
4.2%
6360723 1
4.2%
6343148 1
4.2%

2022
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56319678
Minimum0
Maximum1.9443422 × 108
Zeros3
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T02:32:13.672513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1331134.75
median5821059
Q397353560
95-th percentile1.9413385 × 108
Maximum1.9443422 × 108
Range1.9443422 × 108
Interquartile range (IQR)97022426

Descriptive statistics

Standard deviation81550138
Coefficient of variation (CV)1.4479866
Kurtosis-0.7134752
Mean56319678
Median Absolute Deviation (MAD)5821059
Skewness1.0913902
Sum1.3516723 × 109
Variance6.650425 × 1015
MonotonicityNot monotonic
2023-12-13T02:32:13.795906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 3
 
12.5%
192431770 2
 
8.3%
194434220 2
 
8.3%
204000 1
 
4.2%
373513 1
 
4.2%
112234 1
 
4.2%
485747 1
 
4.2%
891140 1
 
4.2%
5375489 1
 
4.2%
6266629 1
 
4.2%
Other values (10) 10
41.7%
ValueCountFrequency (%)
0 3
12.5%
75063 1
 
4.2%
112234 1
 
4.2%
204000 1
 
4.2%
373513 1
 
4.2%
408454 1
 
4.2%
485747 1
 
4.2%
891140 1
 
4.2%
2002450 1
 
4.2%
5375489 1
 
4.2%
ValueCountFrequency (%)
194434220 2
8.3%
192431770 2
8.3%
187681844 1
4.2%
187069390 1
4.2%
67448284 1
4.2%
51095479 1
4.2%
32659308 1
4.2%
29210580 1
4.2%
6580676 1
4.2%
6266629 1
4.2%

Sample

구분200220032004200520062007200820092010201120122013201420152016201720182019202020212022
0I. 사업수익638845437490040782122070836984037695815485081922877234498793380095564549100843845102922470112286485115230144123429768134865352150906622156223469175492806178913685179967741192431770
11. 재해보상수입638845437490040782122070836984037695815485081922877234498793380095564549100843845102922470112286485115230144123429768134865352150906622156223469175492806178913685179967741192431770
2II. 사업외수익995738187979516046571464406198729530676713368124333700622511912570791182374085490514475271839008872806158788428895611500277187230822038682002450
3[수익]648802817678020283726727851628097894544988149593910915739127080697815740103414636104746210113141390116677671125268776135738158152494506159113030176993083180785993182171609194434220
4I. 사업비용624001177402503280715946820607377603587985396752881658298857445994591689100344164101932747110468759113775372123028423131478773147216926154049526167877412174744722175802780187681844
51. 금융부문비용013543012347829452353249919490000000000000
62. 재해보상급여622321837384867180390153818523167588700885173775879840968837520094429016100165686101790765110322570113565332122698947131209996146830179153520335167478919174151117175233072187069390
7가. 공상급여(요양급여)404228345059882856256484582437625124578458275124586773356037788860046826645673156662971370735588728668968018591388531725984782852551287433953828342167423068875629210580
8나. 부조급여218093492324984324133669236085542436894926295542272261522721303932891188321036563356013435939864361227093872671339608905427168214701402946569905478071594763902151095479
9다. 위험직무순직급여000027227560310920806097842731491002349471516009183647118457572737863212795299531339262205435408492699511463607236580676
구분200220032004200520062007200820092010201120122013201420152016201720182019202020212022
143. 전산업무비000000000000000000204000204000204000
154. 업무위탁비167933175007322781204943145926220624179234197310162673178478141982146189210040329476268777386747387901398493389605365708408454
16II. 관리운영비159159317598461856894193051618859041961417212431419383302561278229159626202372651050289338522356204249900526471150602205958283597385563431486266629
171. 인건비120803412611301322386130969215430051621241174617415423292122903186535421835832174046230751117648093696822454169343193265132206504389955174945375489
182. 일반경비383559498716534508620825342899340176378140396001438375426242436654477004585874470811553078723018740894826077929956825654891140
19III. 사업외비용8885719953241153888117155510236667914248014307580176627737788761932262158189144733948512869328431573886741625681485747
201. 사업외비용010915734823502061165624553106137976629104221405289144019948522163284186511461625681112234
212. 기타사업외비용8885719844081146540116920510216057897687989757549116489767722471828047529071401065303138737528000373513
22[비용]648802817678020283726727851628097894544988149593910915739127080697815740103414636104746210113141390116677671125268776135738158152494506159113030176993083180785993182171609194434220
23[순이익]000000000000000000000