Overview

Dataset statistics

Number of variables41
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory371.9 B

Variable types

Text1
Numeric40

Dataset

Description공무원연금기금(연금회계) 사업수익, 사업외수익, 특별수익, 사업비용, 관리운영비, 사업외비용 등 손익계산서에 대한 데이터입니다.
URLhttps://www.data.go.kr/data/15054066/fileData.do

Alerts

구분 has unique valuesUnique
1983 has 15 (44.1%) zerosZeros
1984 has 15 (44.1%) zerosZeros
1985 has 13 (38.2%) zerosZeros
1986 has 14 (41.2%) zerosZeros
1987 has 13 (38.2%) zerosZeros
1988 has 14 (41.2%) zerosZeros
1989 has 13 (38.2%) zerosZeros
1990 has 12 (35.3%) zerosZeros
1991 has 11 (32.4%) zerosZeros
1992 has 11 (32.4%) zerosZeros
1993 has 11 (32.4%) zerosZeros
1994 has 12 (35.3%) zerosZeros
1995 has 12 (35.3%) zerosZeros
1996 has 12 (35.3%) zerosZeros
1997 has 10 (29.4%) zerosZeros
1998 has 10 (29.4%) zerosZeros
1999 has 10 (29.4%) zerosZeros
2000 has 10 (29.4%) zerosZeros
2001 has 10 (29.4%) zerosZeros
2002 has 13 (38.2%) zerosZeros
2003 has 12 (35.3%) zerosZeros
2004 has 12 (35.3%) zerosZeros
2005 has 12 (35.3%) zerosZeros
2006 has 12 (35.3%) zerosZeros
2007 has 13 (38.2%) zerosZeros
2008 has 13 (38.2%) zerosZeros
2009 has 13 (38.2%) zerosZeros
2010 has 13 (38.2%) zerosZeros
2011 has 12 (35.3%) zerosZeros
2012 has 14 (41.2%) zerosZeros
2013 has 14 (41.2%) zerosZeros
2014 has 14 (41.2%) zerosZeros
2015 has 13 (38.2%) zerosZeros
2016 has 12 (35.3%) zerosZeros
2017 has 12 (35.3%) zerosZeros
2018 has 13 (38.2%) zerosZeros
2019 has 13 (38.2%) zerosZeros
2020 has 13 (38.2%) zerosZeros
2021 has 10 (29.4%) zerosZeros
2022 has 13 (38.2%) zerosZeros

Reproduction

Analysis started2023-12-12 08:22:01.815160
Analysis finished2023-12-12 08:22:02.334247
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T17:22:02.492536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.0588235
Min length4

Characters and Unicode

Total characters274
Distinct characters79
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

Unique34 ?
Unique (%)100.0%

Sample

1st rowI. 사업수익
2nd row1. 연금수입
3rd row가. 연금기여금
4th row나. 연금부담금
5th row다. 퇴직수당부담금
ValueCountFrequency (%)
1 3
 
4.6%
i 2
 
3.1%
iii 2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Other values (42) 44
67.7%
2023-12-12T17:22:02.906627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 31
 
11.3%
31
 
11.3%
17
 
6.2%
14
 
5.1%
I 13
 
4.7%
9
 
3.3%
9
 
3.3%
8
 
2.9%
7
 
2.6%
7
 
2.6%
Other values (69) 128
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 181
66.1%
Other Punctuation 31
 
11.3%
Space Separator 31
 
11.3%
Uppercase Letter 14
 
5.1%
Decimal Number 9
 
3.3%
Close Punctuation 4
 
1.5%
Open Punctuation 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
9.4%
14
 
7.7%
9
 
5.0%
9
 
5.0%
8
 
4.4%
7
 
3.9%
7
 
3.9%
7
 
3.9%
6
 
3.3%
5
 
2.8%
Other values (55) 92
50.8%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 2
22.2%
3 1
 
11.1%
6 1
 
11.1%
4 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
I 13
92.9%
V 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
] 3
75.0%
) 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 3
75.0%
( 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 181
66.1%
Common 79
28.8%
Latin 14
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
9.4%
14
 
7.7%
9
 
5.0%
9
 
5.0%
8
 
4.4%
7
 
3.9%
7
 
3.9%
7
 
3.9%
6
 
3.3%
5
 
2.8%
Other values (55) 92
50.8%
Common
ValueCountFrequency (%)
. 31
39.2%
31
39.2%
] 3
 
3.8%
1 3
 
3.8%
[ 3
 
3.8%
2 2
 
2.5%
3 1
 
1.3%
6 1
 
1.3%
4 1
 
1.3%
5 1
 
1.3%
Other values (2) 2
 
2.5%
Latin
ValueCountFrequency (%)
I 13
92.9%
V 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 181
66.1%
ASCII 93
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 31
33.3%
31
33.3%
I 13
14.0%
] 3
 
3.2%
1 3
 
3.2%
[ 3
 
3.2%
2 2
 
2.2%
3 1
 
1.1%
6 1
 
1.1%
4 1
 
1.1%
Other values (4) 4
 
4.3%
Hangul
ValueCountFrequency (%)
17
 
9.4%
14
 
7.7%
9
 
5.0%
9
 
5.0%
8
 
4.4%
7
 
3.9%
7
 
3.9%
7
 
3.9%
6
 
3.3%
5
 
2.8%
Other values (55) 92
50.8%

1983
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78390634
Minimum0
Maximum3.6367524 × 108
Zeros15
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:03.072543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median819115
Q31.4307982 × 108
95-th percentile3.6240082 × 108
Maximum3.6367524 × 108
Range3.6367524 × 108
Interquartile range (IQR)1.4307982 × 108

Descriptive statistics

Standard deviation1.3016991 × 108
Coefficient of variation (CV)1.6605288
Kurtosis0.38620815
Mean78390634
Median Absolute Deviation (MAD)819115
Skewness1.3904005
Sum2.6652815 × 109
Variance1.6944204 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:03.252852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 15
44.1%
362400822 2
 
5.9%
4768941 1
 
2.9%
33216681 1
 
2.9%
330458554 1
 
2.9%
4188 1
 
2.9%
691208 1
 
2.9%
1221881 1
 
2.9%
1913089 1
 
2.9%
140000000 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 15
44.1%
4188 1
 
2.9%
691208 1
 
2.9%
947022 1
 
2.9%
1221881 1
 
2.9%
1274413 1
 
2.9%
1913089 1
 
2.9%
4768941 1
 
2.9%
4798026 1
 
2.9%
33216681 1
 
2.9%
ValueCountFrequency (%)
363675235 1
2.9%
362400822 2
5.9%
330458554 1
2.9%
328541277 1
2.9%
212549354 1
2.9%
188541277 1
2.9%
183772336 1
2.9%
144106420 1
2.9%
140000000 1
2.9%
33216681 1
2.9%

1984
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79651048
Minimum0
Maximum3.7242474 × 108
Zeros15
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:03.434822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median881882
Q31.501323 × 108
95-th percentile3.7047484 × 108
Maximum3.7242474 × 108
Range3.7242474 × 108
Interquartile range (IQR)1.501323 × 108

Descriptive statistics

Standard deviation1.3204191 × 108
Coefficient of variation (CV)1.6577548
Kurtosis0.45427328
Mean79651048
Median Absolute Deviation (MAD)881882
Skewness1.405157
Sum2.7081356 × 109
Variance1.7435066 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:03.940951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 15
44.1%
370474844 2
 
5.9%
4786580 1
 
2.9%
38364515 1
 
2.9%
334060224 1
 
2.9%
114 1
 
2.9%
918303 1
 
2.9%
1350412 1
 
2.9%
2268715 1
 
2.9%
150000000 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 15
44.1%
114 1
 
2.9%
845461 1
 
2.9%
918303 1
 
2.9%
1350412 1
 
2.9%
1949895 1
 
2.9%
2268715 1
 
2.9%
4786580 1
 
2.9%
6869320 1
 
2.9%
38364515 1
 
2.9%
ValueCountFrequency (%)
372424739 1
2.9%
370474844 2
5.9%
334060224 1
2.9%
331791395 1
2.9%
212583664 1
2.9%
181791395 1
2.9%
177004815 1
2.9%
150176399 1
2.9%
150000000 1
2.9%
38364515 1
2.9%

1985
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81062341
Minimum0
Maximum3.7127332 × 108
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:04.081710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median947471
Q31.4190244 × 108
95-th percentile3.7079758 × 108
Maximum3.7127332 × 108
Range3.7127332 × 108
Interquartile range (IQR)1.4190244 × 108

Descriptive statistics

Standard deviation1.3408007 × 108
Coefficient of variation (CV)1.6540365
Kurtosis0.24532586
Mean81062341
Median Absolute Deviation (MAD)947471
Skewness1.3621928
Sum2.7561196 × 109
Variance1.7977465 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:04.260898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 13
38.2%
370797580 2
 
5.9%
4993498 1
 
2.9%
36398618 1
 
2.9%
334874702 1
 
2.9%
712 1
 
2.9%
772783 1
 
2.9%
1592666 1
 
2.9%
2365449 1
 
2.9%
101200000 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 13
38.2%
712 1
 
2.9%
352762 1
 
2.9%
475740 1
 
2.9%
772783 1
 
2.9%
1122159 1
 
2.9%
1592666 1
 
2.9%
2365449 1
 
2.9%
4993498 1
 
2.9%
5546294 1
 
2.9%
ValueCountFrequency (%)
371273320 1
2.9%
370797580 2
5.9%
334874702 1
2.9%
332508541 1
2.9%
230955779 1
2.9%
220415987 1
2.9%
208286480 1
2.9%
155469915 1
2.9%
101200000 1
2.9%
36398618 1
2.9%

1986
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89255889
Minimum0
Maximum4.075773 × 108
Zeros14
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:04.420979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1417038
Q31.6157592 × 108
95-th percentile4.0590122 × 108
Maximum4.075773 × 108
Range4.075773 × 108
Interquartile range (IQR)1.6157592 × 108

Descriptive statistics

Standard deviation1.4780267 × 108
Coefficient of variation (CV)1.6559431
Kurtosis0.11609163
Mean89255889
Median Absolute Deviation (MAD)1417038
Skewness1.3389215
Sum3.0347002 × 109
Variance2.184563 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:04.597947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14
41.2%
405901216 2
 
5.9%
6398440 1
 
2.9%
50845103 1
 
2.9%
356732198 1
 
2.9%
831527 1
 
2.9%
1740465 1
 
2.9%
2571992 1
 
2.9%
67027722 1
 
2.9%
430993 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 14
41.2%
430993 1
 
2.9%
831527 1
 
2.9%
1157991 1
 
2.9%
1676085 1
 
2.9%
1740465 1
 
2.9%
2571992 1
 
2.9%
5939871 1
 
2.9%
6398440 1
 
2.9%
7487792 1
 
2.9%
ValueCountFrequency (%)
407577301 1
2.9%
405901216 2
5.9%
356732198 1
2.9%
354160206 1
2.9%
286701491 1
2.9%
272815259 1
2.9%
205711370 1
2.9%
193091984 1
2.9%
67027722 1
2.9%
50845103 1
2.9%

1987
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0290852 × 108
Minimum0
Maximum4.6000812 × 108
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:04.804374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1355429.5
Q31.8439678 × 108
95-th percentile4.5876256 × 108
Maximum4.6000812 × 108
Range4.6000812 × 108
Interquartile range (IQR)1.8439678 × 108

Descriptive statistics

Standard deviation1.7156243 × 108
Coefficient of variation (CV)1.6671353
Kurtosis0.027931709
Mean1.0290852 × 108
Median Absolute Deviation (MAD)1355429.5
Skewness1.327576
Sum3.4988897 × 109
Variance2.9433668 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:04.985696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 13
38.2%
458762559 2
 
5.9%
9594321 1
 
2.9%
32189030 1
 
2.9%
427819095 1
 
2.9%
1148 1
 
2.9%
946371 1
 
2.9%
1953869 1
 
2.9%
2900240 1
 
2.9%
78800000 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 13
38.2%
1148 1
 
2.9%
414536 1
 
2.9%
946371 1
 
2.9%
1245566 1
 
2.9%
1465293 1
 
2.9%
1953869 1
 
2.9%
2900240 1
 
2.9%
7749588 1
 
2.9%
8761306 1
 
2.9%
ValueCountFrequency (%)
460008125 1
2.9%
458762559 2
5.9%
427819095 1
2.9%
424917707 1
2.9%
345703171 1
2.9%
327347544 1
2.9%
229951970 1
2.9%
219595708 1
2.9%
78800000 1
2.9%
32189030 1
2.9%

1988
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.231738 × 108
Minimum0
Maximum5.429891 × 108
Zeros14
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:05.137328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1075493
Q32.0897001 × 108
95-th percentile5.4197854 × 108
Maximum5.429891 × 108
Range5.429891 × 108
Interquartile range (IQR)2.0897001 × 108

Descriptive statistics

Standard deviation2.0809817 × 108
Coefficient of variation (CV)1.6894678
Kurtosis-0.10640579
Mean1.231738 × 108
Median Absolute Deviation (MAD)1075493
Skewness1.3074461
Sum4.1879092 × 109
Variance4.3304847 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:05.289421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14
41.2%
541978540 2
 
5.9%
7560687 1
 
2.9%
33350716 1
 
2.9%
509638379 1
 
2.9%
1140431 1
 
2.9%
2371952 1
 
2.9%
3512383 1
 
2.9%
50000000 1
 
2.9%
417926 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 14
41.2%
417926 1
 
2.9%
429534 1
 
2.9%
1010555 1
 
2.9%
1140431 1
 
2.9%
2371952 1
 
2.9%
3512383 1
 
2.9%
4804895 1
 
2.9%
7560687 1
 
2.9%
11051609 1
 
2.9%
ValueCountFrequency (%)
542989095 1
2.9%
541978540 2
5.9%
509638379 1
2.9%
506125996 1
2.9%
455708070 1
2.9%
437095774 1
2.9%
274784095 1
2.9%
261960016 1
2.9%
50000000 1
2.9%
33350716 1
2.9%

1989
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4529085 × 108
Minimum0
Maximum6.3747814 × 108
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:05.425378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1088229.5
Q32.4887407 × 108
95-th percentile6.3660996 × 108
Maximum6.3747814 × 108
Range6.3747814 × 108
Interquartile range (IQR)2.4887407 × 108

Descriptive statistics

Standard deviation2.4533325 × 108
Coefficient of variation (CV)1.6885664
Kurtosis-0.091003124
Mean1.4529085 × 108
Median Absolute Deviation (MAD)1088229.5
Skewness1.3104087
Sum4.9398889 × 109
Variance6.0188405 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:05.600253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 13
38.2%
636609957 2
 
5.9%
16102889 1
 
2.9%
25676006 1
 
2.9%
611802133 1
 
2.9%
561 1
 
2.9%
1308277 1
 
2.9%
3124886 1
 
2.9%
4433163 1
 
2.9%
76400000 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 13
38.2%
561 1
 
2.9%
337566 1
 
2.9%
715640 1
 
2.9%
868182 1
 
2.9%
1308277 1
 
2.9%
3124886 1
 
2.9%
4433163 1
 
2.9%
6917973 1
 
2.9%
7300733 1
 
2.9%
ValueCountFrequency (%)
637478139 1
2.9%
636609957 2
5.9%
611802133 1
2.9%
607368409 1
2.9%
530630843 1
2.9%
507609981 1
2.9%
322228155 1
2.9%
306365429 1
2.9%
76400000 1
2.9%
25676006 1
2.9%

1990
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8326275 × 108
Minimum0
Maximum7.9735125 × 108
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:05.739272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1489631.5
Q32.9477639 × 108
95-th percentile7.9619259 × 108
Maximum7.9735125 × 108
Range7.9735125 × 108
Interquartile range (IQR)2.9477639 × 108

Descriptive statistics

Standard deviation3.1256685 × 108
Coefficient of variation (CV)1.7055668
Kurtosis-0.15164376
Mean1.8326275 × 108
Median Absolute Deviation (MAD)1489631.5
Skewness1.3039135
Sum6.2309334 × 109
Variance9.7698037 × 1016
MonotonicityNot monotonic
2023-12-12T17:22:05.894471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
35.3%
796192593 2
 
5.9%
20106087 1
 
2.9%
33236170 1
 
2.9%
764115083 1
 
2.9%
9 1
 
2.9%
1687505 1
 
2.9%
3440342 1
 
2.9%
5127847 1
 
2.9%
40500000 1
 
2.9%
Other values (12) 12
35.3%
ValueCountFrequency (%)
0 12
35.3%
9 1
 
2.9%
28346 1
 
2.9%
222952 1
 
2.9%
1158660 1
 
2.9%
1291758 1
 
2.9%
1687505 1
 
2.9%
3440342 1
 
2.9%
5127847 1
 
2.9%
9110072 1
 
2.9%
ValueCountFrequency (%)
797351253 1
2.9%
796192593 2
5.9%
764115083 1
2.9%
758987227 1
2.9%
718264275 1
2.9%
688492713 1
2.9%
406255575 1
2.9%
379535188 1
2.9%
40500000 1
2.9%
33236170 1
2.9%

1991
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2718526 × 108
Minimum0
Maximum9.8494804 × 108
Zeros11
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:06.062925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5265212
Q33.5798556 × 108
95-th percentile9.8150824 × 108
Maximum9.8494804 × 108
Range9.8494804 × 108
Interquartile range (IQR)3.5798556 × 108

Descriptive statistics

Standard deviation3.8735208 × 108
Coefficient of variation (CV)1.7050054
Kurtosis-0.13708174
Mean2.2718526 × 108
Median Absolute Deviation (MAD)5265212
Skewness1.3113445
Sum7.7242988 × 109
Variance1.5004164 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:06.220761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 11
32.4%
981508241 2
 
5.9%
16147953 1
 
2.9%
37211385 1
 
2.9%
947736652 1
 
2.9%
2004020 1
 
2.9%
4263202 1
 
2.9%
6267222 1
 
2.9%
30000000 1
 
2.9%
504491 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
0 11
32.4%
78637 1
 
2.9%
504491 1
 
2.9%
2004020 1
 
2.9%
2133276 1
 
2.9%
3439796 1
 
2.9%
4263202 1
 
2.9%
6267222 1
 
2.9%
9466298 1
 
2.9%
14236599 1
 
2.9%
ValueCountFrequency (%)
984948037 1
2.9%
981508241 2
5.9%
947736652 1
2.9%
941469430 1
2.9%
910964939 1
2.9%
861261000 1
2.9%
482961940 1
2.9%
464910288 1
2.9%
37211385 1
2.9%
30000000 1
2.9%

1992
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9529117 × 108
Minimum0
Maximum1.2727734 × 109
Zeros11
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:06.365366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6133980.5
Q34.8892892 × 108
95-th percentile1.2704481 × 109
Maximum1.2727734 × 109
Range1.2727734 × 109
Interquartile range (IQR)4.8892892 × 108

Descriptive statistics

Standard deviation4.894725 × 108
Coefficient of variation (CV)1.6575927
Kurtosis0.037069196
Mean2.9529117 × 108
Median Absolute Deviation (MAD)6133980.5
Skewness1.3398511
Sum1.00399 × 1010
Variance2.3958333 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:06.534701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 11
32.4%
1270448057 2
 
5.9%
274917102 1
 
2.9%
33273355 1
 
2.9%
1239500036 1
 
2.9%
2333409 1
 
2.9%
4967276 1
 
2.9%
7300685 1
 
2.9%
30000000 1
 
2.9%
515790 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
0 11
32.4%
58184 1
 
2.9%
515790 1
 
2.9%
2325334 1
 
2.9%
2333409 1
 
2.9%
3130758 1
 
2.9%
4967276 1
 
2.9%
7300685 1
 
2.9%
11290435 1
 
2.9%
11290436 1
 
2.9%
ValueCountFrequency (%)
1272773391 1
2.9%
1270448057 2
5.9%
1239500036 1
2.9%
1232199351 1
2.9%
1201683561 1
2.9%
887055884 1
2.9%
574423451 1
2.9%
560266195 1
2.9%
274917102 1
2.9%
121337217 1
2.9%

1993
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7358132 × 108
Minimum-39794624
Maximum1.6147391 × 109
Zeros11
Zeros (%)32.4%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:06.673008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-39794624
5-th percentile0
Q10
median4527308
Q35.8728357 × 108
95-th percentile1.6068829 × 109
Maximum1.6147391 × 109
Range1.6545337 × 109
Interquartile range (IQR)5.8728357 × 108

Descriptive statistics

Standard deviation6.2426952 × 108
Coefficient of variation (CV)1.6710405
Kurtosis0.062967582
Mean3.7358132 × 108
Median Absolute Deviation (MAD)4527308
Skewness1.3459078
Sum1.2701765 × 1010
Variance3.8971243 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:06.817476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 11
32.4%
1570379160 2
 
5.9%
13593385 2
 
5.9%
33216089 1
 
2.9%
-39794624 1
 
2.9%
1614739085 1
 
2.9%
30 1
 
2.9%
2334336 1
 
2.9%
5172683 1
 
2.9%
7507019 1
 
2.9%
Other values (12) 12
35.3%
ValueCountFrequency (%)
-39794624 1
 
2.9%
0 11
32.4%
30 1
 
2.9%
65366 1
 
2.9%
537106 1
 
2.9%
2334336 1
 
2.9%
4489315 1
 
2.9%
4565301 1
 
2.9%
5172683 1
 
2.9%
7507019 1
 
2.9%
ValueCountFrequency (%)
1614739085 1
2.9%
1607232036 1
2.9%
1606694930 1
2.9%
1574944461 1
2.9%
1570379160 2
5.9%
1159479779 1
2.9%
655938036 1
2.9%
649597986 1
2.9%
400340311 1
2.9%
246760438 1
2.9%

1994
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2781771 × 108
Minimum-1.8314618 × 108
Maximum1.9350914 × 109
Zeros12
Zeros (%)35.3%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:06.975019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8314618 × 108
5-th percentile0
Q10
median5398882.5
Q36.3771272 × 108
95-th percentile1.9258736 × 109
Maximum1.9350914 × 109
Range2.1182376 × 109
Interquartile range (IQR)6.3771272 × 108

Descriptive statistics

Standard deviation7.2726947 × 108
Coefficient of variation (CV)1.6999518
Kurtosis0.10652849
Mean4.2781771 × 108
Median Absolute Deviation (MAD)5398882.5
Skewness1.3524779
Sum1.4545802 × 1010
Variance5.2892089 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:07.103915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
1747038033 2
 
5.9%
16062388 2
 
5.9%
460812313 1
 
2.9%
-183146182 1
 
2.9%
1935091381 1
 
2.9%
2872963 1
 
2.9%
6036603 1
 
2.9%
8909566 1
 
2.9%
474155 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
-183146182 1
 
2.9%
0 12
35.3%
144031 1
 
2.9%
474155 1
 
2.9%
2872963 1
 
2.9%
4907166 1
 
2.9%
5890599 1
 
2.9%
6036603 1
 
2.9%
8909566 1
 
2.9%
16062388 2
 
5.9%
ValueCountFrequency (%)
1935091381 1
2.9%
1926181815 1
2.9%
1925707660 1
2.9%
1751945199 1
2.9%
1747038033 2
5.9%
1411678444 1
2.9%
721173068 1
2.9%
696679517 1
2.9%
460812313 1
2.9%
307232461 1
2.9%

1995
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2607372 × 108
Minimum-6.384599 × 108
Maximum2.6372712 × 109
Zeros12
Zeros (%)35.3%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:07.236380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.384599 × 108
5-th percentile0
Q10
median5587618.5
Q37.1676695 × 108
95-th percentile2.6272934 × 109
Maximum2.6372712 × 109
Range3.2757311 × 109
Interquartile range (IQR)7.1676695 × 108

Descriptive statistics

Standard deviation9.414685 × 108
Coefficient of variation (CV)1.7896133
Kurtosis0.43015475
Mean5.2607372 × 108
Median Absolute Deviation (MAD)5587618.5
Skewness1.3784949
Sum1.7886506 × 1010
Variance8.8636294 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:07.380642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
1994203051 2
 
5.9%
20489839 2
 
5.9%
613571110 1
 
2.9%
-638459902 1
 
2.9%
2637271159 1
 
2.9%
3096394 1
 
2.9%
6567031 1
 
2.9%
9663425 1
 
2.9%
483592 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
-638459902 1
 
2.9%
0 12
35.3%
226896 1
 
2.9%
483592 1
 
2.9%
3096394 1
 
2.9%
4608206 1
 
2.9%
6567031 1
 
2.9%
7000307 1
 
2.9%
9663425 1
 
2.9%
20489839 2
 
5.9%
ValueCountFrequency (%)
2637271159 1
2.9%
2627607734 1
2.9%
2627124142 1
2.9%
1998811257 1
2.9%
1994203051 2
5.9%
1953443549 1
2.9%
755556085 1
2.9%
751165567 1
2.9%
613571110 1
2.9%
459991253 1
2.9%

1996
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7815002 × 108
Minimum0
Maximum2.4759356 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:07.531978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7886693.5
Q38.4135162 × 108
95-th percentile2.4722755 × 109
Maximum2.4759356 × 109
Range2.4759356 × 109
Interquartile range (IQR)8.4135162 × 108

Descriptive statistics

Standard deviation9.5973252 × 108
Coefficient of variation (CV)1.660006
Kurtosis0.076314602
Mean5.7815002 × 108
Median Absolute Deviation (MAD)7886693.5
Skewness1.3526945
Sum1.9657101 × 1010
Variance9.2108652 × 1017
MonotonicityNot monotonic
2023-12-12T17:22:07.689532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
2472275469 2
 
5.9%
535826162 2
 
5.9%
22027660 1
 
2.9%
43844617 1
 
2.9%
2432090939 1
 
2.9%
3581560 1
 
2.9%
7511610 1
 
2.9%
11093170 1
 
2.9%
436446 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 12
35.3%
335951 1
 
2.9%
436446 1
 
2.9%
3581560 1
 
2.9%
3660087 1
 
2.9%
7511610 1
 
2.9%
8261777 1
 
2.9%
11093170 1
 
2.9%
18857477 1
 
2.9%
22027660 1
 
2.9%
ValueCountFrequency (%)
2475935556 1
2.9%
2472275469 2
5.9%
2432090939 1
2.9%
2420997769 1
2.9%
2420561323 1
2.9%
1843514073 1
2.9%
950822455 1
2.9%
943193436 1
2.9%
535826162 2
5.9%
43844617 1
2.9%

1997
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4850072 × 108
Minimum-76364830
Maximum2.8075846 × 109
Zeros10
Zeros (%)29.4%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:07.831760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-76364830
5-th percentile0
Q10
median7041618.5
Q39.194456 × 108
95-th percentile2.7948763 × 109
Maximum2.8075846 × 109
Range2.8839494 × 109
Interquartile range (IQR)9.194456 × 108

Descriptive statistics

Standard deviation1.0852068 × 109
Coefficient of variation (CV)1.6734088
Kurtosis0.080434452
Mean6.4850072 × 108
Median Absolute Deviation (MAD)7041618.5
Skewness1.354021
Sum2.2049025 × 1010
Variance1.1776738 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:07.971853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
29.4%
2722691121 2
 
5.9%
640099002 2
 
5.9%
22760326 1
 
2.9%
-76364830 1
 
2.9%
2807584596 1
 
2.9%
200 1
 
2.9%
4326233 1
 
2.9%
8266257 1
 
2.9%
12592490 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
-76364830 1
 
2.9%
0 10
29.4%
200 1
 
2.9%
177925 1
 
2.9%
453304 1
 
2.9%
2711665 1
 
2.9%
4326233 1
 
2.9%
5816980 1
 
2.9%
8266257 1
 
2.9%
9197036 1
 
2.9%
ValueCountFrequency (%)
2807584596 1
2.9%
2794991906 1
2.9%
2794813981 1
2.9%
2731219766 1
2.9%
2722691121 2
5.9%
2115121785 1
2.9%
1021713084 1
2.9%
1012561139 1
2.9%
640099002 2
5.9%
39120860 1
2.9%

1998
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3310092 × 108
Minimum-1.75346 × 109
Maximum5.0698133 × 109
Zeros10
Zeros (%)29.4%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:08.135639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75346 × 109
5-th percentile0
Q10
median10951492
Q31.2228137 × 109
95-th percentile5.0331261 × 109
Maximum5.0698133 × 109
Range6.8232733 × 109
Interquartile range (IQR)1.2228137 × 109

Descriptive statistics

Standard deviation1.7557505 × 109
Coefficient of variation (CV)1.8816298
Kurtosis0.84123933
Mean9.3310092 × 108
Median Absolute Deviation (MAD)10951492
Skewness1.3882729
Sum3.1725431 × 1010
Variance3.0826598 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:08.331668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
29.4%
3311836260 2
 
5.9%
1297319225 2
 
5.9%
24489481 1
 
2.9%
-1753460024 1
 
2.9%
5069813266 1
 
2.9%
19987333 1
 
2.9%
4367636 1
 
2.9%
12209256 1
 
2.9%
16576892 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
-1753460024 1
 
2.9%
0 10
29.4%
140490 1
 
2.9%
189086 1
 
2.9%
647095 1
 
2.9%
4367636 1
 
2.9%
4376492 1
 
2.9%
9693729 1
 
2.9%
12209256 1
 
2.9%
15603231 1
 
2.9%
ValueCountFrequency (%)
5069813266 1
2.9%
5033249041 1
2.9%
5033059955 1
2.9%
3695000923 1
2.9%
3316353242 1
2.9%
3311836260 2
5.9%
1297319225 2
5.9%
999297016 1
2.9%
965433578 1
2.9%
40092712 1
2.9%

1999
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3153517 × 109
Minimum-2.7519711 × 109
Maximum7.3153441 × 109
Zeros10
Zeros (%)29.4%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:08.664497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.7519711 × 109
5-th percentile0
Q10
median7872265.5
Q31.9898859 × 109
95-th percentile7.2938702 × 109
Maximum7.3153441 × 109
Range1.0067315 × 1010
Interquartile range (IQR)1.9898859 × 109

Descriptive statistics

Standard deviation2.5146876 × 109
Coefficient of variation (CV)1.9117987
Kurtosis0.9820555
Mean1.3153517 × 109
Median Absolute Deviation (MAD)7872265.5
Skewness1.3766871
Sum4.4721957 × 1010
Variance6.3236539 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:08.810324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
29.4%
4557236571 2
 
5.9%
2280148607 2
 
5.9%
14466125 1
 
2.9%
-2751971093 1
 
2.9%
7315344052 1
 
2.9%
5659175 1
 
2.9%
1461968 1
 
2.9%
4611394 1
 
2.9%
9608143 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
-2751971093 1
 
2.9%
0 10
29.4%
204857 1
 
2.9%
738597 1
 
2.9%
1461968 1
 
2.9%
4611394 1
 
2.9%
5659175 1
 
2.9%
6136388 1
 
2.9%
9608143 1
 
2.9%
10682036 1
 
2.9%
ValueCountFrequency (%)
7315344052 1
2.9%
7294003372 1
2.9%
7293798515 1
2.9%
4976683602 1
2.9%
4563372959 1
2.9%
4557236571 2
5.9%
2280148607 2
5.9%
1119097803 1
2.9%
1111080416 1
2.9%
36227709 1
2.9%

2000
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.908121 × 108
Minimum-9.458332 × 108
Maximum4.3832233 × 109
Zeros10
Zeros (%)29.4%
Negative1
Negative (%)2.9%
Memory size438.0 B
2023-12-12T17:22:08.952683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-9.458332 × 108
5-th percentile0
Q10
median10897768
Q31.1212831 × 109
95-th percentile4.3610533 × 109
Maximum4.3832233 × 109
Range5.3290565 × 109
Interquartile range (IQR)1.1212831 × 109

Descriptive statistics

Standard deviation1.5768845 × 109
Coefficient of variation (CV)1.7701651
Kurtosis0.35373146
Mean8.908121 × 108
Median Absolute Deviation (MAD)10897768
Skewness1.3742445
Sum3.0287612 × 1010
Variance2.4865648 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:09.098638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
29.4%
3426636920 2
 
5.9%
1054070091 2
 
5.9%
15675305 1
 
2.9%
-945833199 1
 
2.9%
4383223318 1
 
2.9%
4172490 1
 
2.9%
1099925 1
 
2.9%
5743371 1
 
2.9%
11042338 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
-945833199 1
 
2.9%
0 10
29.4%
172099 1
 
2.9%
900775 1
 
2.9%
1099925 1
 
2.9%
4172490 1
 
2.9%
5743371 1
 
2.9%
10753199 1
 
2.9%
11042338 1
 
2.9%
13552730 1
 
2.9%
ValueCountFrequency (%)
4383223318 1
2.9%
4361165194 1
2.9%
4360993095 1
2.9%
3437390119 1
2.9%
3426636920 2
5.9%
3267274982 1
2.9%
1176579457 1
2.9%
1143687395 1
2.9%
1054070091 2
5.9%
38747247 1
2.9%

2001
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2680616 × 108
Minimum0
Maximum3.5191014 × 109
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:09.233547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13119848
Q31.1725423 × 109
95-th percentile3.5147205 × 109
Maximum3.5191014 × 109
Range3.5191014 × 109
Interquartile range (IQR)1.1725423 × 109

Descriptive statistics

Standard deviation1.3894887 × 109
Coefficient of variation (CV)1.6805495
Kurtosis0.016664855
Mean8.2680616 × 108
Median Absolute Deviation (MAD)13119848
Skewness1.3494784
Sum2.8111409 × 1010
Variance1.9306788 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:09.396984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 10
29.4%
3512361625 2
 
5.9%
551986075 2
 
5.9%
3519101400 2
 
5.9%
20857177 1
 
2.9%
1244337 1
 
2.9%
1119364 1
 
2.9%
9601245 1
 
2.9%
13385730 1
 
2.9%
22986975 1
 
2.9%
Other values (12) 12
35.3%
ValueCountFrequency (%)
0 10
29.4%
207935 1
 
2.9%
1038938 1
 
2.9%
1119364 1
 
2.9%
1244337 1
 
2.9%
6739775 1
 
2.9%
9601245 1
 
2.9%
12853967 1
 
2.9%
13385730 1
 
2.9%
17459417 1
 
2.9%
ValueCountFrequency (%)
3519101400 2
5.9%
3512361625 2
5.9%
3493750724 1
2.9%
3493542789 1
2.9%
2902201182 1
2.9%
1469949460 1
2.9%
1379394403 1
2.9%
551986075 2
5.9%
59861126 1
2.9%
38316594 1
2.9%

2002
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.951593 × 108
Minimum0
Maximum3.9511644 × 109
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:09.621034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3457320.5
Q31.3722704 × 109
95-th percentile3.9419749 × 109
Maximum3.9511644 × 109
Range3.9511644 × 109
Interquartile range (IQR)1.3722704 × 109

Descriptive statistics

Standard deviation1.4887049 × 109
Coefficient of variation (CV)1.6630615
Kurtosis0.011256941
Mean8.951593 × 108
Median Absolute Deviation (MAD)3457320.5
Skewness1.334875
Sum3.0435416 × 1010
Variance2.2162424 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:09.819895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
3941974882 2
 
5.9%
521586911 2
 
5.9%
132713 1
 
2.9%
377604680 1
 
2.9%
3573559703 1
 
2.9%
479646 1
 
2.9%
1438072 1
 
2.9%
5476569 1
 
2.9%
13261023 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
132713 1
 
2.9%
479646 1
 
2.9%
1252400 1
 
2.9%
1438072 1
 
2.9%
5476569 1
 
2.9%
9189501 1
 
2.9%
13261023 1
 
2.9%
13821366 1
 
2.9%
18737592 1
 
2.9%
ValueCountFrequency (%)
3951164383 1
2.9%
3941974882 2
5.9%
3573559703 1
2.9%
3552904393 1
2.9%
3552771680 1
2.9%
3029932369 1
2.9%
1750735073 1
2.9%
1655831532 1
2.9%
521586911 2
5.9%
377604680 1
2.9%

2003
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0371525 × 109
Minimum0
Maximum4.4139537 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:09.999451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4074847
Q31.5141916 × 109
95-th percentile4.4067866 × 109
Maximum4.4139537 × 109
Range4.4139537 × 109
Interquartile range (IQR)1.5141916 × 109

Descriptive statistics

Standard deviation1.7479428 × 109
Coefficient of variation (CV)1.6853286
Kurtosis-0.0026288888
Mean1.0371525 × 109
Median Absolute Deviation (MAD)4074847
Skewness1.342767
Sum3.5263185 × 1010
Variance3.055304 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:10.173142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
35.3%
4402927431 2
 
5.9%
707067338 2
 
5.9%
4413953654 2
 
5.9%
3680989325 1
 
2.9%
435762 1
 
2.9%
1627396 1
 
2.9%
6522298 1
 
2.9%
15540166 1
 
2.9%
22062464 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 12
35.3%
97364 1
 
2.9%
105445 1
 
2.9%
435762 1
 
2.9%
1568560 1
 
2.9%
1627396 1
 
2.9%
6522298 1
 
2.9%
11026222 1
 
2.9%
15540166 1
 
2.9%
17270773 1
 
2.9%
ValueCountFrequency (%)
4413953654 2
5.9%
4402927431 2
5.9%
4389828032 1
2.9%
4389625223 1
2.9%
3680989325 1
2.9%
1840579182 1
2.9%
1783233071 1
2.9%
707067338 2
5.9%
54777068 1
2.9%
22062464 1
2.9%

2004
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1577843 × 109
Minimum0
Maximum4.9263614 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:10.361071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4559991.5
Q31.6530339 × 109
95-th percentile4.9203084 × 109
Maximum4.9263614 × 109
Range4.9263614 × 109
Interquartile range (IQR)1.6530339 × 109

Descriptive statistics

Standard deviation1.9446117 × 109
Coefficient of variation (CV)1.6795975
Kurtosis0.028778131
Mean1.1577843 × 109
Median Absolute Deviation (MAD)4559991.5
Skewness1.3514247
Sum3.9364668 × 1010
Variance3.7815146 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:10.517752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
35.3%
4917049089 2
 
5.9%
843744236 2
 
5.9%
4926361440 2
 
5.9%
4055306577 1
 
2.9%
393627 1
 
2.9%
1778916 1
 
2.9%
7236069 1
 
2.9%
15326796 1
 
2.9%
22562865 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 12
35.3%
205100 1
 
2.9%
393627 1
 
2.9%
486205 1
 
2.9%
1778916 1
 
2.9%
1883914 1
 
2.9%
7236069 1
 
2.9%
9312351 1
 
2.9%
15326796 1
 
2.9%
19322872 1
 
2.9%
ValueCountFrequency (%)
4926361440 2
5.9%
4917049089 2
5.9%
4901626032 1
2.9%
4900934728 1
2.9%
4055306577 1
2.9%
1956982577 1
2.9%
1922797169 1
2.9%
843744236 2
5.9%
174202235 1
2.9%
22562865 1
2.9%

2005
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3857957 × 109
Minimum0
Maximum5.8991667 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:10.666731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9082796
Q31.8023829 × 109
95-th percentile5.8882139 × 109
Maximum5.8991667 × 109
Range5.8991667 × 109
Interquartile range (IQR)1.8023829 × 109

Descriptive statistics

Standard deviation2.3061 × 109
Coefficient of variation (CV)1.6640981
Kurtosis0.11021164
Mean1.3857957 × 109
Median Absolute Deviation (MAD)9082796
Skewness1.3720947
Sum4.7117055 × 1010
Variance5.3180974 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:10.810575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
35.3%
5882316240 2
 
5.9%
1196149590 2
 
5.9%
5899166693 2
 
5.9%
4664907344 1
 
2.9%
349911 1
 
2.9%
6403750 1
 
2.9%
11761842 1
 
2.9%
16537144 1
 
2.9%
28298986 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 12
35.3%
230824 1
 
2.9%
349911 1
 
2.9%
540304 1
 
2.9%
2285984 1
 
2.9%
6403750 1
 
2.9%
11761842 1
 
2.9%
16537144 1
 
2.9%
16850453 1
 
2.9%
20979050 1
 
2.9%
ValueCountFrequency (%)
5899166693 2
5.9%
5882316240 2
5.9%
5864114046 1
2.9%
5863342918 1
2.9%
4664907344 1
2.9%
2051158750 1
2.9%
2004460674 1
2.9%
1196149590 2
5.9%
609568176 1
2.9%
28298986 1
2.9%

2006
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4512264 × 109
Minimum0
Maximum6.1775309 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:10.969151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5899803
Q31.8796331 × 109
95-th percentile6.1642727 × 109
Maximum6.1775309 × 109
Range6.1775309 × 109
Interquartile range (IQR)1.8796331 × 109

Descriptive statistics

Standard deviation2.4229387 × 109
Coefficient of variation (CV)1.6695801
Kurtosis0.091481437
Mean1.4512264 × 109
Median Absolute Deviation (MAD)5899803
Skewness1.3704982
Sum4.9341697 × 1010
Variance5.870632 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:11.095208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 12
35.3%
6157133655 2
 
5.9%
1122223853 2
 
5.9%
6177530881 2
 
5.9%
5019715256 1
 
2.9%
793088 1
 
2.9%
4115690 1
 
2.9%
7683916 1
 
2.9%
19591281 1
 
2.9%
27275197 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 12
35.3%
191558 1
 
2.9%
471465 1
 
2.9%
793088 1
 
2.9%
2744774 1
 
2.9%
4115690 1
 
2.9%
7683916 1
 
2.9%
19591281 1
 
2.9%
20397226 1
 
2.9%
22139310 1
 
2.9%
ValueCountFrequency (%)
6177530881 2
5.9%
6157133655 2
5.9%
6145346906 1
2.9%
6144683883 1
2.9%
5019715256 1
2.9%
2232992773 1
2.9%
2132102875 1
2.9%
1122223853 2
5.9%
647674844 1
2.9%
27275197 1
2.9%

2007
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5978839 × 109
Minimum0
Maximum6.8053694 × 109
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:11.235631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6043337.5
Q31.9590064 × 109
95-th percentile6.7831658 × 109
Maximum6.8053694 × 109
Range6.8053694 × 109
Interquartile range (IQR)1.9590064 × 109

Descriptive statistics

Standard deviation2.6631127 × 109
Coefficient of variation (CV)1.6666497
Kurtosis0.11422151
Mean1.5978839 × 109
Median Absolute Deviation (MAD)6043337.5
Skewness1.3779607
Sum5.4328053 × 1010
Variance7.0921691 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:11.394091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
38.2%
6768184120 2
 
5.9%
1230010292 2
 
5.9%
6805369408 2
 
5.9%
5537313499 1
 
2.9%
5757899 1
 
2.9%
6328776 1
 
2.9%
22072723 1
 
2.9%
28401499 1
 
2.9%
463735 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 13
38.2%
150688 1
 
2.9%
463735 1
 
2.9%
3271796 1
 
2.9%
5757899 1
 
2.9%
6328776 1
 
2.9%
22072723 1
 
2.9%
23148491 1
 
2.9%
28401499 1
 
2.9%
37185288 1
 
2.9%
ValueCountFrequency (%)
6805369408 2
5.9%
6771210010 1
2.9%
6770595587 1
2.9%
6768184120 2
5.9%
5537313499 1
2.9%
2323836396 1
2.9%
2202005151 1
2.9%
1230010292 2
5.9%
989183790 1
2.9%
37185288 1
2.9%

2008
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8377865 × 109
Minimum0
Maximum7.8292919 × 109
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:11.525413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9292318.5
Q32.1437686 × 109
95-th percentile7.8034728 × 109
Maximum7.8292919 × 109
Range7.8292919 × 109
Interquartile range (IQR)2.1437686 × 109

Descriptive statistics

Standard deviation3.0524183 × 109
Coefficient of variation (CV)1.6609211
Kurtosis0.14361277
Mean1.8377865 × 109
Median Absolute Deviation (MAD)9292318.5
Skewness1.3839601
Sum6.248474 × 1010
Variance9.3172573 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:11.686093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
38.2%
7781495603 2
 
5.9%
1539396493 2
 
5.9%
7829291904 2
 
5.9%
6245669504 1
 
2.9%
13684837 1
 
2.9%
4899800 1
 
2.9%
21137072 1
 
2.9%
26036872 1
 
2.9%
424783 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 13
38.2%
171027 1
 
2.9%
424783 1
 
2.9%
3908388 1
 
2.9%
4899800 1
 
2.9%
13684837 1
 
2.9%
21137072 1
 
2.9%
25527975 1
 
2.9%
26036872 1
 
2.9%
47796301 1
 
2.9%
ValueCountFrequency (%)
7829291904 2
5.9%
7789570195 1
2.9%
7788974385 1
2.9%
7781495603 2
5.9%
6245669504 1
2.9%
2441985333 1
2.9%
2345226012 1
2.9%
1539396493 2
5.9%
1429359790 1
2.9%
47796301 1
2.9%

2009
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7923886 × 109
Minimum0
Maximum7.6307804 × 109
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:11.877897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6803074
Q32.2066029 × 109
95-th percentile7.6106091 × 109
Maximum7.6307804 × 109
Range7.6307804 × 109
Interquartile range (IQR)2.2066029 × 109

Descriptive statistics

Standard deviation3.0142416 × 109
Coefficient of variation (CV)1.6816898
Kurtosis0.088412552
Mean1.7923886 × 109
Median Absolute Deviation (MAD)6803074
Skewness1.3792427
Sum6.0941213 × 1010
Variance9.0856527 × 1018
MonotonicityNot monotonic
2023-12-12T17:22:12.063582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
38.2%
7599747617 2
 
5.9%
884091965 2
 
5.9%
7630780439 2
 
5.9%
6707900239 1
 
2.9%
8626922 1
 
2.9%
4979226 1
 
2.9%
18874208 1
 
2.9%
23853434 1
 
2.9%
1724429 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 13
38.2%
132863 1
 
2.9%
1724429 1
 
2.9%
4450587 1
 
2.9%
4979226 1
 
2.9%
8626922 1
 
2.9%
18874208 1
 
2.9%
23853434 1
 
2.9%
27496658 1
 
2.9%
31032822 1
 
2.9%
ValueCountFrequency (%)
7630780439 2
5.9%
7599747617 2
5.9%
7598300083 1
2.9%
7596442791 1
2.9%
6707900239 1
2.9%
2477506582 1
2.9%
2307879513 1
2.9%
1902772899 1
2.9%
884091965 2
5.9%
31032822 1
2.9%

2010
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9780221 × 109
Minimum0
Maximum8.4232103 × 109
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:12.246393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6572231
Q32.4373198 × 109
95-th percentile8.4017241 × 109
Maximum8.4232103 × 109
Range8.4232103 × 109
Interquartile range (IQR)2.4373198 × 109

Descriptive statistics

Standard deviation3.3227032 × 109
Coefficient of variation (CV)1.679811
Kurtosis0.074679739
Mean1.9780221 × 109
Median Absolute Deviation (MAD)6572231
Skewness1.3736603
Sum6.7252751 × 1010
Variance1.1040357 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:12.753303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
38.2%
8378330178 2
 
5.9%
1133252025 2
 
5.9%
8423210305 2
 
5.9%
5408617 1
 
2.9%
7616244 1
 
2.9%
5528218 1
 
2.9%
19911278 1
 
2.9%
25439496 1
 
2.9%
716268 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 13
38.2%
716268 1
 
2.9%
1782516 1
 
2.9%
5408617 1
 
2.9%
5528218 1
 
2.9%
7616244 1
 
2.9%
19911278 1
 
2.9%
25439496 1
 
2.9%
30343731 1
 
2.9%
44880127 1
 
2.9%
ValueCountFrequency (%)
8423210305 2
5.9%
8390154565 1
2.9%
8387655781 1
2.9%
8378330178 2
5.9%
7248995139 1
2.9%
3093526534 1
2.9%
2814035745 1
2.9%
1307172143 1
2.9%
1133252025 2
5.9%
44880127 1
2.9%

2011
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.100957 × 109
Minimum0
Maximum8.9390651 × 109
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:12.908343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7432616.5
Q32.6045269 × 109
95-th percentile8.9280161 × 109
Maximum8.9390651 × 109
Range8.9390651 × 109
Interquartile range (IQR)2.6045269 × 109

Descriptive statistics

Standard deviation3.5466144 × 109
Coefficient of variation (CV)1.6880947
Kurtosis0.047863176
Mean2.100957 × 109
Median Absolute Deviation (MAD)7432616.5
Skewness1.36852
Sum7.1432539 × 1010
Variance1.2578474 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:13.031536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
8922066583 2
 
5.9%
8939065116 2
 
5.9%
7895631854 1
 
2.9%
8744503 1
 
2.9%
5548422 1
 
2.9%
21514148 1
 
2.9%
27062570 1
 
2.9%
757836 1
 
2.9%
672065 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 12
35.3%
3609 1
 
2.9%
672065 1
 
2.9%
757836 1
 
2.9%
5548422 1
 
2.9%
6120730 1
 
2.9%
8744503 1
 
2.9%
16998533 1
 
2.9%
21514148 1
 
2.9%
27062570 1
 
2.9%
ValueCountFrequency (%)
8939065116 2
5.9%
8922066583 2
5.9%
8903258043 1
2.9%
8901824533 1
2.9%
7895631854 1
2.9%
3510969332 1
2.9%
3020120978 1
2.9%
1357744697 1
2.9%
1000071950 1
2.9%
1000071949 1
2.9%

2012
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0910207 × 109
Minimum0
Maximum8.8949423 × 109
Zeros14
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:13.171611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1636835.5
Q32.8752359 × 109
95-th percentile8.8852678 × 109
Maximum8.8949423 × 109
Range8.8949423 × 109
Interquartile range (IQR)2.8752359 × 109

Descriptive statistics

Standard deviation3.6157225 × 109
Coefficient of variation (CV)1.7291663
Kurtosis-0.038867607
Mean2.0910207 × 109
Median Absolute Deviation (MAD)1636835.5
Skewness1.3458162
Sum7.1094705 × 1010
Variance1.3073449 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:13.349293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 14
41.2%
8880058421 2
 
5.9%
8894942288 2
 
5.9%
8855364539 1
 
2.9%
2420923 1
 
2.9%
6090453 1
 
2.9%
22507605 1
 
2.9%
28598058 1
 
2.9%
852748 1
 
2.9%
769335 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 14
41.2%
3960 1
 
2.9%
769335 1
 
2.9%
852748 1
 
2.9%
2420923 1
 
2.9%
6090453 1
 
2.9%
6932725 1
 
2.9%
14883867 1
 
2.9%
22507605 1
 
2.9%
28598058 1
 
2.9%
ValueCountFrequency (%)
8894942288 2
5.9%
8880058421 2
5.9%
8863923307 1
2.9%
8862297264 1
2.9%
8855364539 1
2.9%
3878833499 1
2.9%
3268347919 1
2.9%
1695899953 1
2.9%
36977050 1
2.9%
28598058 1
2.9%

2013
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2291425 × 109
Minimum0
Maximum9.4836029 × 109
Zeros14
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:13.484425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4154056
Q33.0281552 × 109
95-th percentile9.4744545 × 109
Maximum9.4836029 × 109
Range9.4836029 × 109
Interquartile range (IQR)3.0281552 × 109

Descriptive statistics

Standard deviation3.8513174 × 109
Coefficient of variation (CV)1.7277126
Kurtosis-0.030363521
Mean2.2291425 × 109
Median Absolute Deviation (MAD)4154056
Skewness1.3478882
Sum7.5790844 × 1010
Variance1.4832646 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:13.634477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 14
41.2%
9469528377 2
 
5.9%
9483602880 2
 
5.9%
9434372830 1
 
2.9%
8115852 1
 
2.9%
6226937 1
 
2.9%
24081988 1
 
2.9%
30308925 1
 
2.9%
1205051 1
 
2.9%
2081175 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 14
41.2%
3630 1
 
2.9%
1205051 1
 
2.9%
2081175 1
 
2.9%
6226937 1
 
2.9%
7515417 1
 
2.9%
8115852 1
 
2.9%
14074503 1
 
2.9%
24081988 1
 
2.9%
30308925 1
 
2.9%
ValueCountFrequency (%)
9483602880 2
5.9%
9469528377 2
5.9%
9445178103 1
2.9%
9441888247 1
2.9%
9434372830 1
2.9%
4058734934 1
2.9%
3371481178 1
2.9%
1998177365 1
2.9%
41134900 1
2.9%
30308925 1
2.9%

2014
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4144706 × 109
Minimum0
Maximum1.0269583 × 1010
Zeros14
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:13.791640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3565240.5
Q33.2936442 × 109
95-th percentile1.0262545 × 1010
Maximum1.0269583 × 1010
Range1.0269583 × 1010
Interquartile range (IQR)3.2936442 × 109

Descriptive statistics

Standard deviation4.1675156 × 109
Coefficient of variation (CV)1.7260577
Kurtosis-0.016280635
Mean2.4144706 × 109
Median Absolute Deviation (MAD)3565240.5
Skewness1.3510631
Sum8.2092 × 1010
Variance1.7368186 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:13.957322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 14
41.2%
10258754455 2
 
5.9%
10269583261 2
 
5.9%
10222108512 1
 
2.9%
3544115 1
 
2.9%
6355524 1
 
2.9%
24351580 1
 
2.9%
30707104 1
 
2.9%
1624828 1
 
2.9%
3586366 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
0 14
41.2%
1613 1
 
2.9%
1624828 1
 
2.9%
3544115 1
 
2.9%
3586366 1
 
2.9%
6355524 1
 
2.9%
8010723 1
 
2.9%
10828806 1
 
2.9%
24351580 1
 
2.9%
30707104 1
 
2.9%
ValueCountFrequency (%)
10269583261 2
5.9%
10258754455 2
5.9%
10235332042 1
2.9%
10230119235 1
2.9%
10222108512 1
2.9%
4120138172 1
2.9%
3539936381 1
2.9%
2554767471 1
2.9%
43912431 1
2.9%
30707104 1
2.9%

2015
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.687032 × 109
Minimum0
Maximum1.1428995 × 1010
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:14.090155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5566640.5
Q33.6320898 × 109
95-th percentile1.1420372 × 1010
Maximum1.1428995 × 1010
Range1.1428995 × 1010
Interquartile range (IQR)3.6320898 × 109

Descriptive statistics

Standard deviation4.6324687 × 109
Coefficient of variation (CV)1.7240095
Kurtosis-0.0018965776
Mean2.687032 × 109
Median Absolute Deviation (MAD)5566640.5
Skewness1.355866
Sum9.135909 × 1010
Variance2.1459766 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:14.255709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
11415729100 2
 
5.9%
11428994878 2
 
5.9%
11376634725 1
 
2.9%
3077804 1
 
2.9%
7672183 1
 
2.9%
26821281 1
 
2.9%
34493464 1
 
2.9%
1699432 1
 
2.9%
3461098 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
528203 1
 
2.9%
1699432 1
 
2.9%
3077804 1
 
2.9%
3461098 1
 
2.9%
7672183 1
 
2.9%
9100152 1
 
2.9%
13265778 1
 
2.9%
26821281 1
 
2.9%
34493464 1
 
2.9%
ValueCountFrequency (%)
11428994878 2
5.9%
11415729100 2
5.9%
11391423610 1
2.9%
11385734877 1
2.9%
11376634725 1
2.9%
4347892029 1
2.9%
3818540807 1
2.9%
3072736884 1
2.9%
128340000 1
2.9%
48219380 1
2.9%

2016
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.842416 × 109
Minimum0
Maximum1.2090062 × 1010
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:14.434470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6636833.5
Q33.9315988 × 109
95-th percentile1.2081114 × 1010
Maximum1.2090062 × 1010
Range1.2090062 × 1010
Interquartile range (IQR)3.9315988 × 109

Descriptive statistics

Standard deviation4.9132958 × 109
Coefficient of variation (CV)1.7285633
Kurtosis-0.033196146
Mean2.842416 × 109
Median Absolute Deviation (MAD)6636833.5
Skewness1.3477738
Sum9.6642143 × 1010
Variance2.4140476 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:14.573210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
12076296206 2
 
5.9%
12090062272 2
 
5.9%
12036189457 1
 
2.9%
6689785 1
 
2.9%
6583882 1
 
2.9%
24544178 1
 
2.9%
31128060 1
 
2.9%
1728319 1
 
2.9%
3961552 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 12
35.3%
142238 1
 
2.9%
625781 1
 
2.9%
1728319 1
 
2.9%
3961552 1
 
2.9%
6583882 1
 
2.9%
6689785 1
 
2.9%
9597080 1
 
2.9%
13766066 1
 
2.9%
24544178 1
 
2.9%
ValueCountFrequency (%)
12090062272 2
5.9%
12076296206 2
5.9%
12052244427 1
2.9%
12045928775 1
2.9%
12036189457 1
2.9%
5170030248 1
2.9%
4469180731 1
2.9%
2318852949 1
2.9%
67170000 1
2.9%
51062278 1
2.9%

2017
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0178638 × 109
Minimum0
Maximum1.2837895 × 1010
Zeros12
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:14.768558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8392539
Q34.2212276 × 109
95-th percentile1.2825006 × 1010
Maximum1.2837895 × 1010
Range1.2837895 × 1010
Interquartile range (IQR)4.2212276 × 109

Descriptive statistics

Standard deviation5.2183827 × 109
Coefficient of variation (CV)1.7291644
Kurtosis-0.037557543
Mean3.0178638 × 109
Median Absolute Deviation (MAD)8392539
Skewness1.3469116
Sum1.0260737 × 1011
Variance2.7231518 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:15.017641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 12
35.3%
12818066133 2
 
5.9%
12837894758 2
 
5.9%
12780443457 1
 
2.9%
9497924 1
 
2.9%
7287154 1
 
2.9%
23353981 1
 
2.9%
30641135 1
 
2.9%
1776309 1
 
2.9%
4110037 1
 
2.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0 12
35.3%
131638 1
 
2.9%
609366 1
 
2.9%
1776309 1
 
2.9%
4110037 1
 
2.9%
7287154 1
 
2.9%
9497924 1
 
2.9%
10684892 1
 
2.9%
19828625 1
 
2.9%
23353981 1
 
2.9%
ValueCountFrequency (%)
12837894758 2
5.9%
12818066133 2
5.9%
12797755699 1
2.9%
12791259987 1
2.9%
12780443457 1
2.9%
5514647258 1
2.9%
4867633024 1
2.9%
2282011400 1
2.9%
100159000 1
2.9%
53615451 1
2.9%

2018
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2128031 × 109
Minimum0
Maximum1.366502 × 1010
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:15.184721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5660318
Q34.5733114 × 109
95-th percentile1.3655291 × 1010
Maximum1.366502 × 1010
Range1.366502 × 1010
Interquartile range (IQR)4.5733114 × 109

Descriptive statistics

Standard deviation5.5617864 × 109
Coefficient of variation (CV)1.7311321
Kurtosis-0.050115331
Mean3.2128031 × 109
Median Absolute Deviation (MAD)5660318
Skewness1.342803
Sum1.092353 × 1011
Variance3.0933468 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:15.336770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
13650052729 2
 
5.9%
13665020124 2
 
5.9%
11698642 1
 
2.9%
8712445 1
 
2.9%
6653278 1
 
2.9%
24500473 1
 
2.9%
31153751 1
 
2.9%
951655 1
 
2.9%
4667358 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
245333 1
 
2.9%
724086 1
 
2.9%
951655 1
 
2.9%
4667358 1
 
2.9%
6653278 1
 
2.9%
8712445 1
 
2.9%
11698642 1
 
2.9%
14967395 1
 
2.9%
24500473 1
 
2.9%
ValueCountFrequency (%)
13665020124 2
5.9%
13650052729 2
5.9%
13625153928 1
2.9%
13618810829 1
2.9%
13606866854 1
2.9%
5973514535 1
2.9%
5337564425 1
2.9%
2280552507 1
2.9%
58421262 1
2.9%
31153751 1
2.9%

2019
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4267029 × 109
Minimum0
Maximum1.4575048 × 1010
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:15.494690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8385272.5
Q34.7971139 × 109
95-th percentile1.4564256 × 1010
Maximum1.4575048 × 1010
Range1.4575048 × 1010
Interquartile range (IQR)4.7971139 × 109

Descriptive statistics

Standard deviation5.9318481 × 109
Coefficient of variation (CV)1.7310657
Kurtosis-0.050490041
Mean3.4267029 × 109
Median Absolute Deviation (MAD)8385272.5
Skewness1.3443904
Sum1.165079 × 1011
Variance3.5186822 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:15.630896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
14558444998 2
 
5.9%
14575047899 2
 
5.9%
14512185606 1
 
2.9%
9554892 1
 
2.9%
7215653 1
 
2.9%
26426513 1
 
2.9%
33642166 1
 
2.9%
5736321 1
 
2.9%
406745 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
406745 1
 
2.9%
789053 1
 
2.9%
5736321 1
 
2.9%
7215653 1
 
2.9%
9554892 1
 
2.9%
12733116 1
 
2.9%
16602901 1
 
2.9%
26426513 1
 
2.9%
33642166 1
 
2.9%
ValueCountFrequency (%)
14575047899 2
5.9%
14558444998 2
5.9%
14531850841 1
2.9%
14525325467 1
2.9%
14512185606 1
2.9%
6478362957 1
2.9%
5710728141 1
2.9%
2056271165 1
2.9%
250846002 1
2.9%
62236733 1
2.9%

2020
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6653095 × 109
Minimum0
Maximum1.5591159 × 1010
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:15.813324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6210031.5
Q35.1710142 × 109
95-th percentile1.5574629 × 1010
Maximum1.5591159 × 1010
Range1.5591159 × 1010
Interquartile range (IQR)5.1710142 × 109

Descriptive statistics

Standard deviation6.3461794 × 109
Coefficient of variation (CV)1.7314171
Kurtosis-0.051436323
Mean3.6653095 × 109
Median Absolute Deviation (MAD)6210031.5
Skewness1.3425679
Sum1.2462052 × 1011
Variance4.0273994 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:15.968238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
15565728513 2
 
5.9%
15591159043 2
 
5.9%
13627097 1
 
2.9%
9184312 1
 
2.9%
6956665 1
 
2.9%
26189248 1
 
2.9%
33145913 1
 
2.9%
5463398 1
 
2.9%
425692 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
84338 1
 
2.9%
425692 1
 
2.9%
910411 1
 
2.9%
5463398 1
 
2.9%
6956665 1
 
2.9%
9184312 1
 
2.9%
13627097 1
 
2.9%
25430530 1
 
2.9%
26189248 1
 
2.9%
ValueCountFrequency (%)
15591159043 2
5.9%
15565728513 2
5.9%
15548828818 1
2.9%
15542455009 1
2.9%
15528317882 1
2.9%
6894637625 1
2.9%
6039883974 1
2.9%
2564404816 1
2.9%
66802098 1
2.9%
33145913 1
2.9%

2021
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9225107 × 109
Minimum0
Maximum1.6688028 × 1010
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:16.130112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11324684
Q35.4666251 × 109
95-th percentile1.6667467 × 1010
Maximum1.6688028 × 1010
Range1.6688028 × 1010
Interquartile range (IQR)5.4666251 × 109

Descriptive statistics

Standard deviation6.7793159 × 109
Coefficient of variation (CV)1.7283104
Kurtosis-0.030862797
Mean3.9225107 × 109
Median Absolute Deviation (MAD)11324684
Skewness1.3484162
Sum1.3336536 × 1011
Variance4.5959124 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:16.283509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
29.4%
16656396591 2
 
5.9%
16688027559 2
 
5.9%
14966513 1
 
2.9%
16878881 1
 
2.9%
7682856 1
 
2.9%
27403321 1
 
2.9%
35086177 1
 
2.9%
37000 1
 
2.9%
5763964 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
0 10
29.4%
8800 1
 
2.9%
9239 1
 
2.9%
37000 1
 
2.9%
59519 1
 
2.9%
950543 1
 
2.9%
5763964 1
 
2.9%
7682856 1
 
2.9%
14966513 1
 
2.9%
16878881 1
 
2.9%
ValueCountFrequency (%)
16688027559 2
5.9%
16656396591 2
5.9%
16636062501 1
2.9%
16629310994 1
2.9%
16614266923 1
2.9%
7038078017 1
2.9%
6208834769 1
2.9%
3239996094 1
2.9%
99243319 1
2.9%
70244392 1
2.9%

2022
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2688567 × 109
Minimum0
Maximum1.8168364 × 1010
Zeros13
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T17:22:16.443955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7139753.5
Q35.8300686 × 109
95-th percentile1.8132164 × 1010
Maximum1.8168364 × 1010
Range1.8168364 × 1010
Interquartile range (IQR)5.8300686 × 109

Descriptive statistics

Standard deviation7.3688838 × 109
Coefficient of variation (CV)1.7261961
Kurtosis-0.016294325
Mean4.2688567 × 109
Median Absolute Deviation (MAD)7139753.5
Skewness1.3512472
Sum1.4514113 × 1011
Variance5.4300448 × 1019
MonotonicityNot monotonic
2023-12-12T17:22:16.573516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
38.2%
18112672041 2
 
5.9%
18168364310 2
 
5.9%
16056316 1
 
2.9%
26274864 1
 
2.9%
7825194 1
 
2.9%
26498783 1
 
2.9%
34323977 1
 
2.9%
35595 1
 
2.9%
6454313 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
0 13
38.2%
35595 1
 
2.9%
119669 1
 
2.9%
1038119 1
 
2.9%
6454313 1
 
2.9%
7825194 1
 
2.9%
16056316 1
 
2.9%
26274864 1
 
2.9%
26498783 1
 
2.9%
34323977 1
 
2.9%
ValueCountFrequency (%)
18168364310 2
5.9%
18112672041 2
5.9%
18107765469 1
2.9%
18100237442 1
2.9%
18084061457 1
2.9%
7299673223 1
2.9%
6291729074 1
2.9%
4445086980 1
2.9%
76182764 1
2.9%
55692269 1
2.9%

Sample

구분1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
0I. 사업수익3624008223704748443707975804059012164587625595419785406366099577961925939815082411270448057157037916017470380331994203051247227546927226911213311836260455723657134266369203512361625394197488244029274314917049089588231624061571336556768184120778149560375997476178378330178892206658388800584219469528377102587544551141572910012076296206128180661331365005272914558444998155657285131665639659118112672041
11. 연금수입3624008223704748443707975804059012164587625595419785406366099577961925939815082411270448057157037916017470380331994203051247227546927226911213311836260455723657134266369203512361625394197488244029274314917049089588231624061571336556768184120778149560375997476178378330178892206658388800584219469528377102587544551141572910012076296206128180661331365005272914558444998155657285131665639659118112672041
2가. 연금기여금2125493542125836642082864802057113702299519702747840953222281554062555754829619405744234516559380367211730687555560859508224551012561139965433578111909780311436873951469949460165583153217832330711922797169200446067421321028752202005151234522601223078795132814035745302012097832683479193371481178353993638138185408074469180731486763302453375644255710728141603988397462088347696291729074
3나. 연금부담금1441064201501763991554699151930919842195957082619600163063654293795351884649102885602661956495979866966795177511655679431934361021713084999297016111108041611765794571379394403175073507318405791821956982577205115875022329927732323836396244198533324775065823093526534351096933238788334994058734934412013817243478920295170030248551464725859735145356478362957689463762570380780177299673223
4다. 퇴직수당부담금005919026000001423659912133721724676043830723246145999125353582616264009900212973192252280148607105407009155198607552158691170706733884374423611961495901122223853123001029215393964938840919651133252025100007195000000000000
5라. 재해보상부담금479802668693200593987177495884804895730073391100721726613811290436135933851606238820489839341716393912086040092712362277093874724738316594000000000000000000000
6마. 연금이체부담금947022845461112215911579911465293429534715640129175821332763130758448931558905997000307826177791970369693729106820361355273012853967138213661727077319322872209790502213931023148491255279752749665830343731331596263697705041134900439124314821938051062278536154515842126262236733668020987024439276182764
7바. 보전금00000000000000000059861126054777068174202235609568176647674844989183790142935979019027728991307172143135774469716958999531998177365255476747130727368842318852949228201140022805525072056271165256440481632399960944445086980
8사. 기금보전금000000000000000000000000000000001283400006717000010015900002508460020992433190
9II. 사업외수익1274413194989547574016760851245566101055586818211586603439796232533445653014907166460820636600875816980437649261363881075319967397759189501110262229312351168504532039722637185288477963013103282244880127169985331488386714074503108288061326577813766066198286251496739516602901254305303163096855692269
구분1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
244. 전산업무비00352762430993414536417926337566222952504491515790537106474155483592436446177925189086204857172099207935132713105445486205540304471465463735424783172442917825166720657693352081175358636634610983961552411003746673585736321546339857639646454313
255. 업무위탁비00000000000000000000000000071626875783685274812050511624828169943217283191776309951655003700035595
266. 적립금14000000015000000010120000067027722788000005000000076400000405000003000000030000000000000000000000000000000000000
27II. 관리운영비1913089226871523654492571992290024035123834433163512784762672227300685750701989095669663425110931701259249016576892142195371678570922986975187375922206246422562865282989862727519728401499260368722385343425439496270625702859805830308925307071043449346431128060306411353115375133642166331459133508617734323977
281. 인건비1221881135041215926661740465195386923719523124886344034242632024967276517268360366036567031751161082662571220925696081431104233813385730132610231554016615326796165371441959128122072723211370721887420819911278215141482250760524081988243515802682128124544178233539812450047326426513261892482740332126498783
292. 일반경비691208918303772783831527946371114043113082771687505200402023334092334336287296330963943581560432623343676364611394574337196012455476569652229872360691176184276839166328776489980049792265528218554842260904536226937635552476721836583882728715466532787215653695666576828567825194
30III. 사업외비용0000000000000000146196810999251119364143807216273961778916640375041156905757899136848378626922761624487445032420923811585235441153077804668978594979248712445955489291843121687888126274864
31IV. 특별손실418811471201148056190030000200199873335659175417249012443374796464357623936273499117930880000000000000000
32[비용]3304585543340602243348747023567321984278190955096383796118021337641150839477366521239500036161473908519350913812637271159243209093928075845965069813266731534405243832233183519101400357355970344139536544926361440589916669361775308816805369408782929190476307804398423210305893906511688949422889483602880102695832611142899487812090062272128378947581366502012414575047899155911590431668802755918168364310
33[순이익]33216681383645153639861850845103321890303335071625676006332361703721138533273355-39794624-183146182-63845990243844617-76364830-1753460024-2751971093-945833199037760468000000000000000000000