Overview

Dataset statistics

Number of variables41
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.3 KiB
Average record size in memory372.3 B

Variable types

Text1
Numeric40

Dataset

Description연도별 공무원연금공단 재무상태표(기금회계_자산, 부채 , 자본)에 대한 데이터입니다. 1983년부터 시작되며 연 단위로 구분됩니다.
URLhttps://www.data.go.kr/data/15054073/fileData.do

Alerts

1983 has 12 (38.7%) zerosZeros
1984 has 10 (32.3%) zerosZeros
1985 has 8 (25.8%) zerosZeros
1986 has 8 (25.8%) zerosZeros
1987 has 8 (25.8%) zerosZeros
1988 has 8 (25.8%) zerosZeros
1989 has 9 (29.0%) zerosZeros
1990 has 9 (29.0%) zerosZeros
1991 has 9 (29.0%) zerosZeros
1992 has 9 (29.0%) zerosZeros
1993 has 8 (25.8%) zerosZeros
1994 has 8 (25.8%) zerosZeros
1995 has 8 (25.8%) zerosZeros
1996 has 9 (29.0%) zerosZeros
1997 has 10 (32.3%) zerosZeros
1998 has 9 (29.0%) zerosZeros
1999 has 9 (29.0%) zerosZeros
2000 has 12 (38.7%) zerosZeros
2001 has 11 (35.5%) zerosZeros
2002 has 10 (32.3%) zerosZeros
2003 has 11 (35.5%) zerosZeros
2004 has 11 (35.5%) zerosZeros
2005 has 10 (32.3%) zerosZeros
2006 has 10 (32.3%) zerosZeros
2007 has 10 (32.3%) zerosZeros
2008 has 8 (25.8%) zerosZeros
2009 has 8 (25.8%) zerosZeros
2010 has 10 (32.3%) zerosZeros
2011 has 10 (32.3%) zerosZeros
2012 has 8 (25.8%) zerosZeros
2013 has 7 (22.6%) zerosZeros
2014 has 7 (22.6%) zerosZeros
2015 has 7 (22.6%) zerosZeros
2016 has 7 (22.6%) zerosZeros
2017 has 7 (22.6%) zerosZeros
2018 has 8 (25.8%) zerosZeros
2019 has 8 (25.8%) zerosZeros
2020 has 7 (22.6%) zerosZeros
2021 has 7 (22.6%) zerosZeros
2022 has 7 (22.6%) zerosZeros

Reproduction

Analysis started2023-12-12 17:02:46.985438
Analysis finished2023-12-12 17:02:47.347098
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-13T02:02:47.479955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.4193548
Min length4

Characters and Unicode

Total characters230
Distinct characters56
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st rowI.유동자산
2nd row1.당좌자산
3rd row2.재고자산
4th row3.기타유동자산
5th rowII.비유동자산
ValueCountFrequency (%)
3.재해보상계정 2
 
6.5%
4.퇴직수당계정 2
 
6.5%
1.연금조정계정 2
 
6.5%
2.특별회계자금 2
 
6.5%
ii.타회계자금수수 1
 
3.2%
자산 1
 
3.2%
5.이익잉여금 1
 
3.2%
4.기타포괄손익누계액 1
 
3.2%
3.퇴직급여지급준비금 1
 
3.2%
2.자본잉여금 1
 
3.2%
Other values (17) 17
54.8%
2023-12-13T02:02:47.828042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 28
 
12.2%
자 19
 
8.3%
I 13
 
5.7%
금 12
 
5.2%
산 11
 
4.8%
계 11
 
4.8%
정 8
 
3.5%
유 7
 
3.0%
동 6
 
2.6%
수 6
 
2.6%
Other values (46) 109
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
70.0%
Other Punctuation 28
 
12.2%
Decimal Number 21
 
9.1%
Uppercase Letter 14
 
6.1%
Close Punctuation 3
 
1.3%
Open Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 19
 
11.8%
금 12
 
7.5%
산 11
 
6.8%
계 11
 
6.8%
정 8
 
5.0%
유 7
 
4.3%
동 6
 
3.7%
수 6
 
3.7%
타 5
 
3.1%
회 4
 
2.5%
Other values (36) 72
44.7%
Decimal Number
ValueCountFrequency (%)
3 5
23.8%
1 5
23.8%
2 5
23.8%
4 4
19.0%
5 2
 
9.5%
Uppercase Letter
ValueCountFrequency (%)
I 13
92.9%
V 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%
Close Punctuation
ValueCountFrequency (%)
] 3
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
70.0%
Common 55
 
23.9%
Latin 14
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 19
 
11.8%
금 12
 
7.5%
산 11
 
6.8%
계 11
 
6.8%
정 8
 
5.0%
유 7
 
4.3%
동 6
 
3.7%
수 6
 
3.7%
타 5
 
3.1%
회 4
 
2.5%
Other values (36) 72
44.7%
Common
ValueCountFrequency (%)
. 28
50.9%
3 5
 
9.1%
1 5
 
9.1%
2 5
 
9.1%
4 4
 
7.3%
] 3
 
5.5%
[ 3
 
5.5%
5 2
 
3.6%
Latin
ValueCountFrequency (%)
I 13
92.9%
V 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
70.0%
ASCII 69
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 28
40.6%
I 13
18.8%
3 5
 
7.2%
1 5
 
7.2%
2 5
 
7.2%
4 4
 
5.8%
] 3
 
4.3%
[ 3
 
4.3%
5 2
 
2.9%
V 1
 
1.4%
Hangul
ValueCountFrequency (%)
자 19
 
11.8%
금 12
 
7.5%
산 11
 
6.8%
계 11
 
6.8%
정 8
 
5.0%
유 7
 
4.3%
동 6
 
3.7%
수 6
 
3.7%
타 5
 
3.1%
회 4
 
2.5%
Other values (36) 72
44.7%

1983
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3641139 × 108
Minimum0
Maximum1.2328775 × 109
Zeros12
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:47.966061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22181365
Q31.1108142 × 108
95-th percentile1.1443784 × 109
Maximum1.2328775 × 109
Range1.2328775 × 109
Interquartile range (IQR)1.1108142 × 108

Descriptive statistics

Standard deviation4.3477984 × 108
Coefficient of variation (CV)1.8390816
Kurtosis0.84933698
Mean2.3641139 × 108
Median Absolute Deviation (MAD)22181365
Skewness1.6372702
Sum7.3287531 × 109
Variance1.8903351 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:48.087861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 12
38.7%
1137855777 2
 
6.5%
81976482 1
 
3.2%
26509906 1
 
3.2%
127141128 1
 
3.2%
1010714649 1
 
3.2%
95021715 1
 
3.2%
28033063 1
 
3.2%
4328541 1
 
3.2%
22181365 1
 
3.2%
Other values (9) 9
29.0%
ValueCountFrequency (%)
0 12
38.7%
525930 1
 
3.2%
1592249 1
 
3.2%
4328541 1
 
3.2%
22181365 1
 
3.2%
26509906 1
 
3.2%
28033063 1
 
3.2%
40478746 1
 
3.2%
54959019 1
 
3.2%
80384233 1
 
3.2%
ValueCountFrequency (%)
1232877492 1
3.2%
1150901010 1
3.2%
1137855777 2
6.5%
1010714649 1
3.2%
936979938 1
3.2%
158436123 1
3.2%
127141128 1
3.2%
95021715 1
3.2%
81976482 1
3.2%
80384233 1
3.2%

1984
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0801429 × 108
Minimum0
Maximum1.6098359 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:48.208495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25447180
Q31.8416518 × 108
95-th percentile1.4728644 × 109
Maximum1.6098359 × 109
Range1.6098359 × 109
Interquartile range (IQR)1.8416518 × 108

Descriptive statistics

Standard deviation5.4771597 × 108
Coefficient of variation (CV)1.7782161
Kurtosis0.99350855
Mean3.0801429 × 108
Median Absolute Deviation (MAD)25447180
Skewness1.6491315
Sum9.5484429 × 109
Variance2.9999279 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:48.339169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
1467186654 2
 
6.5%
131293814 1
 
3.2%
32076982 1
 
3.2%
273228853 1
 
3.2%
26470 1
 
3.2%
1193931331 1
 
3.2%
142649208 1
 
3.2%
63635162 1
 
3.2%
6629802 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
26470 1
 
3.2%
1407360 1
 
3.2%
1516025 1
 
3.2%
6629802 1
 
3.2%
13485821 1
 
3.2%
25447180 1
 
3.2%
32076982 1
 
3.2%
46937064 1
 
3.2%
63635162 1
 
3.2%
ValueCountFrequency (%)
1609835862 1
3.2%
1478542048 1
3.2%
1467186654 2
6.5%
1193931331 1
3.2%
1108804336 1
3.2%
273228853 1
3.2%
208990030 1
3.2%
159340322 1
3.2%
142649208 1
3.2%
131293814 1
3.2%

1985
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.682237 × 108
Minimum0
Maximum1.920311 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:48.473888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178266.5
median10687868
Q32.4858035 × 108
95-th percentile1.7829528 × 109
Maximum1.920311 × 109
Range1.920311 × 109
Interquartile range (IQR)2.4850208 × 108

Descriptive statistics

Standard deviation6.5085259 × 108
Coefficient of variation (CV)1.7675467
Kurtosis1.0766818
Mean3.682237 × 108
Median Absolute Deviation (MAD)10687868
Skewness1.6530655
Sum1.1414935 × 1010
Variance4.2360909 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:48.624525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
10687868 2
 
6.5%
1782952752 2
 
6.5%
9051324 2
 
6.5%
1920311001 1
 
3.2%
449300374 1
 
3.2%
156533 1
 
3.2%
1333495845 1
 
3.2%
137358249 1
 
3.2%
102978535 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
156533 1
 
3.2%
1829447 1
 
3.2%
2360101 1
 
3.2%
3114397 1
 
3.2%
9051324 2
 
6.5%
10687868 2
 
6.5%
21375736 1
 
3.2%
25328390 1
 
3.2%
102978535 1
 
3.2%
ValueCountFrequency (%)
1920311001 1
3.2%
1782952752 2
6.5%
1759979745 1
3.2%
1333495845 1
3.2%
1260989595 1
3.2%
449300374 1
3.2%
266442384 1
3.2%
230718319 1
3.2%
149643388 1
3.2%
144168890 1
3.2%

1986
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3685941 × 108
Minimum0
Maximum2.270414 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:48.754242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1175758.5
median44095808
Q32.9682773 × 108
95-th percentile2.0951 × 109
Maximum2.270414 × 109
Range2.270414 × 109
Interquartile range (IQR)2.9665197 × 108

Descriptive statistics

Standard deviation7.6117617 × 108
Coefficient of variation (CV)1.7423824
Kurtosis1.1332811
Mean4.3685941 × 108
Median Absolute Deviation (MAD)44095808
Skewness1.6567009
Sum1.3542642 × 1010
Variance5.7938916 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:48.882155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
25688026 2
 
6.5%
2095100015 2
 
6.5%
44095808 2
 
6.5%
2270413971 1
 
3.2%
657826313 1
 
3.2%
351517 1
 
3.2%
1436922185 1
 
3.2%
175313956 1
 
3.2%
112558008 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
351517 1
 
3.2%
1897469 1
 
3.2%
2247614 1
 
3.2%
18660140 1
 
3.2%
24241135 1
 
3.2%
25688026 2
 
6.5%
44095808 2
 
6.5%
51376052 1
 
3.2%
112558008 1
 
3.2%
ValueCountFrequency (%)
2270413971 1
3.2%
2095100015 2
6.5%
2089467790 1
3.2%
1493914860 1
3.2%
1436922185 1
3.2%
657826313 1
3.2%
297908003 1
3.2%
295747458 1
3.2%
175313956 1
3.2%
155258155 1
3.2%

1987
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0032056 × 108
Minimum0
Maximum2.5992562 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:49.015728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1175758.5
median27143804
Q33.8204006 × 108
95-th percentile2.4430081 × 109
Maximum2.5992562 × 109
Range2.5992562 × 109
Interquartile range (IQR)3.818643 × 108

Descriptive statistics

Standard deviation8.7888425 × 108
Coefficient of variation (CV)1.7566423
Kurtosis1.170369
Mean5.0032056 × 108
Median Absolute Deviation (MAD)27143804
Skewness1.6554871
Sum1.5509937 × 1010
Variance7.7243753 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:49.197328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
21752214 2
 
6.5%
2443008083 2
 
6.5%
27143804 2
 
6.5%
2599256201 1
 
3.2%
876089277 1
 
3.2%
351517 1
 
3.2%
1566567289 1
 
3.2%
156248118 1
 
3.2%
114869779 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
351517 1
 
3.2%
1614812 1
 
3.2%
2580925 1
 
3.2%
4892324 1
 
3.2%
14234535 1
 
3.2%
21752214 2
 
6.5%
27143804 2
 
6.5%
43504428 1
 
3.2%
114869779 1
 
3.2%
ValueCountFrequency (%)
2599256201 1
3.2%
2443008083 2
6.5%
2425384040 1
3.2%
1659689102 1
3.2%
1566567289 1
3.2%
876089277 1
3.2%
423909768 1
3.2%
340170358 1
3.2%
156248118 1
3.2%
152119947 1
3.2%

1988
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7144549 × 108
Minimum0
Maximum2.9761223 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:49.322803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1182377
median18521459
Q34.5161207 × 108
95-th percentile2.7893335 × 109
Maximum2.9761223 × 109
Range2.9761223 × 109
Interquartile range (IQR)4.5142969 × 108

Descriptive statistics

Standard deviation1.0030687 × 109
Coefficient of variation (CV)1.7553182
Kurtosis1.1954231
Mean5.7144549 × 108
Median Absolute Deviation (MAD)18521459
Skewness1.652616
Sum1.771481 × 1010
Variance1.0061468 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:49.486583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
8022830 2
 
6.5%
2789333503 2
 
6.5%
28819356 2
 
6.5%
2976122305 1
 
3.2%
1140212431 1
 
3.2%
364754 1
 
3.2%
1648756318 1
 
3.2%
186788802 1
 
3.2%
139447987 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
364754 1
 
3.2%
1424527 1
 
3.2%
3994603 1
 
3.2%
5061002 1
 
3.2%
8022830 2
 
6.5%
16045660 1
 
3.2%
18521459 1
 
3.2%
28819356 2
 
6.5%
139447987 1
 
3.2%
ValueCountFrequency (%)
2976122305 1
3.2%
2789333503 2
6.5%
2788966484 1
3.2%
1884317825 1
3.2%
1648756318 1
3.2%
1140212431 1
3.2%
541678582 1
3.2%
361545550 1
3.2%
186788802 1
3.2%
179132991 1
3.2%

1989
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4389423 × 108
Minimum0
Maximum3.3531634 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:49.638332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19666988
Q35.142273 × 108
95-th percentile3.1779134 × 109
Maximum3.3531634 × 109
Range3.3531634 × 109
Interquartile range (IQR)5.142273 × 108

Descriptive statistics

Standard deviation1.113566 × 109
Coefficient of variation (CV)1.7294238
Kurtosis1.3827049
Mean6.4389423 × 108
Median Absolute Deviation (MAD)19666988
Skewness1.692801
Sum1.9960721 × 1010
Variance1.2400292 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:49.777720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
29.0%
3177913436 2
 
6.5%
306966843 1
 
3.2%
16990643 1
 
3.2%
1160568355 1
 
3.2%
258473274 1
 
3.2%
364773 1
 
3.2%
1758507034 1
 
3.2%
175249948 1
 
3.2%
138592317 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 9
29.0%
364773 1
 
3.2%
2614296 1
 
3.2%
4738975 1
 
3.2%
5197420 1
 
3.2%
12251668 1
 
3.2%
16990643 1
 
3.2%
19666988 1
 
3.2%
91145085 1
 
3.2%
138592317 1
 
3.2%
ValueCountFrequency (%)
3353163384 1
3.2%
3177913436 2
6.5%
3046196541 1
3.2%
2015127652 1
3.2%
1758507034 1
3.2%
1160568355 1
3.2%
653527154 1
3.2%
374927439 1
3.2%
306966843 1
3.2%
258473274 1
3.2%

1990
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.265966 × 108
Minimum0
Maximum3.7811118 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:49.910757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40325263
Q35.3554564 × 108
95-th percentile3.5786104 × 109
Maximum3.7811118 × 109
Range3.7811118 × 109
Interquartile range (IQR)5.3554564 × 108

Descriptive statistics

Standard deviation1.2600429 × 109
Coefficient of variation (CV)1.7341711
Kurtosis1.3636492
Mean7.265966 × 108
Median Absolute Deviation (MAD)40325263
Skewness1.6918477
Sum2.2524495 × 1010
Variance1.587708 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:50.061349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
29.0%
3578610447 2
 
6.5%
311497843 1
 
3.2%
40325263 1
 
3.2%
1437994884 1
 
3.2%
315565409 1
 
3.2%
367115 1
 
3.2%
1824683039 1
 
3.2%
202501327 1
 
3.2%
138396551 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 9
29.0%
367115 1
 
3.2%
3137237 1
 
3.2%
5403585 1
 
3.2%
17215642 1
 
3.2%
23109621 1
 
3.2%
23779513 1
 
3.2%
40325263 1
 
3.2%
79779393 1
 
3.2%
138396551 1
 
3.2%
ValueCountFrequency (%)
3781111774 1
3.2%
3578610447 2
6.5%
3469613931 1
3.2%
2395385405 1
3.2%
1824683039 1
3.2%
1437994884 1
3.2%
643537851 1
3.2%
427553438 1
3.2%
315565409 1
3.2%
311497843 1
3.2%

1991
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2114944 × 108
Minimum0
Maximum4.2750915 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:50.212840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median36576833
Q35.3313651 × 108
95-th percentile4.0435982 × 109
Maximum4.2750915 × 109
Range4.2750915 × 109
Interquartile range (IQR)5.3313651 × 108

Descriptive statistics

Standard deviation1.4298636 × 109
Coefficient of variation (CV)1.7412953
Kurtosis1.3249211
Mean8.2114944 × 108
Median Absolute Deviation (MAD)36576833
Skewness1.6876489
Sum2.5455633 × 1010
Variance2.04451 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:50.346119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
29.0%
4043598188 2
 
6.5%
353984963 1
 
3.2%
36576833 1
 
3.2%
1787216061 1
 
3.2%
368095726 1
 
3.2%
367192 1
 
3.2%
1887919209 1
 
3.2%
231493330 1
 
3.2%
161022609 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 9
29.0%
367192 1
 
3.2%
3539347 1
 
3.2%
7461559 1
 
3.2%
17372769 1
 
3.2%
19204064 1
 
3.2%
33893888 1
 
3.2%
36576833 1
 
3.2%
92599657 1
 
3.2%
161022609 1
 
3.2%
ValueCountFrequency (%)
4275091518 1
3.2%
4043598188 2
6.5%
3921106555 1
3.2%
2851294183 1
3.2%
1887919209 1
3.2%
1787216061 1
3.2%
610594039 1
3.2%
455678986 1
3.2%
368095726 1
3.2%
353984963 1
3.2%

1992
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1696937 × 108
Minimum0
Maximum4.7825308 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:50.798804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median64929718
Q35.7224638 × 108
95-th percentile4.4917681 × 109
Maximum4.7825308 × 109
Range4.7825308 × 109
Interquartile range (IQR)5.7224638 × 108

Descriptive statistics

Standard deviation1.5775035 × 109
Coefficient of variation (CV)1.7203449
Kurtosis1.3456565
Mean9.1696937 × 108
Median Absolute Deviation (MAD)64929718
Skewness1.686225
Sum2.842605 × 1010
Variance2.4885174 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:50.964610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
29.0%
4491768140 2
 
6.5%
544531545 1
 
3.2%
21628183 1
 
3.2%
2149321764 1
 
3.2%
386948326 1
 
3.2%
367456 1
 
3.2%
1955130594 1
 
3.2%
290762685 1
 
3.2%
204204784 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 9
29.0%
367456 1
 
3.2%
4007674 1
 
3.2%
4077515 1
 
3.2%
8830745 1
 
3.2%
17620509 1
 
3.2%
21628183 1
 
3.2%
64929718 1
 
3.2%
118426041 1
 
3.2%
204204784 1
 
3.2%
ValueCountFrequency (%)
4782530825 1
3.2%
4491768140 2
6.5%
4237999280 1
3.2%
3114188407 1
3.2%
2149321764 1
3.2%
1955130594 1
3.2%
599961214 1
3.2%
544531545 1
3.2%
519772144 1
3.2%
417274759 1
3.2%

1993
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.011015 × 109
Minimum0
Maximum5.2822038 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:51.101888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1183728
median1.2129514 × 108
Q36.6072238 × 108
95-th percentile4.9002786 × 109
Maximum5.2822038 × 109
Range5.2822038 × 109
Interquartile range (IQR)6.6053865 × 108

Descriptive statistics

Standard deviation1.7125122 × 109
Coefficient of variation (CV)1.6938544
Kurtosis1.361061
Mean1.011015 × 109
Median Absolute Deviation (MAD)1.2129514 × 108
Skewness1.6847792
Sum3.1341465 × 1010
Variance2.9326982 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:51.237719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
4900278573 2
 
6.5%
55297979 2
 
6.5%
30167569 2
 
6.5%
744241905 1
 
3.2%
121295135 1
 
3.2%
2550541610 1
 
3.2%
360965557 1
 
3.2%
367456 1
 
3.2%
1988403950 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
367456 1
 
3.2%
4591648 1
 
3.2%
11131711 1
 
3.2%
30167569 2
 
6.5%
55297979 2
 
6.5%
121295135 1
 
3.2%
167034446 1
 
3.2%
230462499 1
 
3.2%
360965557 1
 
3.2%
ValueCountFrequency (%)
5282203776 1
3.2%
4900278573 2
6.5%
4482663892 1
3.2%
3363118352 1
3.2%
2550541610 1
3.2%
1988403950 1
3.2%
744241905 1
3.2%
577202857 1
3.2%
566075748 1
3.2%
537751035 1
3.2%

1994
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0873609 × 109
Minimum0
Maximum5.6860726 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:51.376332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201726.5
median1.543359 × 108
Q37.5481404 × 108
95-th percentile5.2413541 × 109
Maximum5.6860726 × 109
Range5.6860726 × 109
Interquartile range (IQR)7.5461231 × 108

Descriptive statistics

Standard deviation1.8439732 × 109
Coefficient of variation (CV)1.6958244
Kurtosis1.3206067
Mean1.0873609 × 109
Median Absolute Deviation (MAD)1.543359 × 108
Skewness1.6776176
Sum3.3708189 × 1010
Variance3.4002371 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:51.495458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
5241354082 2
 
6.5%
7075822 2
 
6.5%
36471628 2
 
6.5%
857150654 1
 
3.2%
154335897 1
 
3.2%
2826219716 1
 
3.2%
426326963 1
 
3.2%
403453 1
 
3.2%
1988403950 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
403453 1
 
3.2%
4795599 1
 
3.2%
7075822 2
 
6.5%
11299589 1
 
3.2%
36471628 2
 
6.5%
154335897 1
 
3.2%
193373642 1
 
3.2%
253911030 1
 
3.2%
426326963 1
 
3.2%
ValueCountFrequency (%)
5686072637 1
3.2%
5241354082 2
6.5%
4821846161 1
3.2%
3733126697 1
3.2%
2826219716 1
3.2%
1988403950 1
3.2%
857150654 1
3.2%
652477423 1
3.2%
568111260 1
3.2%
515812605 1
3.2%

1995
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0717877 × 109
Minimum0
Maximum5.6021816 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:51.623729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1201758.5
median1.2194502 × 108
Q38.0189018 × 108
95-th percentile5.1495037 × 109
Maximum5.6021816 × 109
Range5.6021816 × 109
Interquartile range (IQR)8.0168842 × 108

Descriptive statistics

Standard deviation1.7904428 × 109
Coefficient of variation (CV)1.67052
Kurtosis1.395718
Mean1.0717877 × 109
Median Absolute Deviation (MAD)1.2194502 × 108
Skewness1.6894695
Sum3.3225419 × 1010
Variance3.2056855 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:51.769646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
25.8%
5149503667 2
 
6.5%
121945017 2
 
6.5%
65007528 2
 
6.5%
917773330 1
 
3.2%
95368871 1
 
3.2%
2708342152 1
 
3.2%
452354048 1
 
3.2%
403517 1
 
3.2%
1988403950 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 8
25.8%
403517 1
 
3.2%
4870806 1
 
3.2%
65007528 2
 
6.5%
75749915 1
 
3.2%
95368871 1
 
3.2%
121945017 2
 
6.5%
156016392 1
 
3.2%
292301493 1
 
3.2%
452354048 1
 
3.2%
ValueCountFrequency (%)
5602181559 1
3.2%
5149503667 2
6.5%
4562463212 1
3.2%
3592461894 1
3.2%
2708342152 1
3.2%
1988403950 1
3.2%
917773330 1
3.2%
686007023 1
3.2%
492571691 1
3.2%
472558821 1
3.2%

1996
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2062775 × 109
Minimum0
Maximum6.3156272 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:51.906065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.6517155 × 108
Q38.841757 × 108
95-th percentile5.6804641 × 109
Maximum6.3156272 × 109
Range6.3156272 × 109
Interquartile range (IQR)8.841757 × 108

Descriptive statistics

Standard deviation2.0317852 × 109
Coefficient of variation (CV)1.6843431
Kurtosis1.2511044
Mean1.2062775 × 109
Median Absolute Deviation (MAD)1.6517155 × 108
Skewness1.666315
Sum3.7394603 × 1010
Variance4.1281511 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:52.033615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
29.0%
5680464076 2
 
6.5%
1010947893 1
 
3.2%
136003569 1
 
3.2%
3218745373 1
 
3.2%
422353118 1
 
3.2%
403519 1
 
3.2%
2038962066 1
 
3.2%
635163094 1
 
3.2%
333987978 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 9
29.0%
403519 1
 
3.2%
12844651 1
 
3.2%
63822582 1
 
3.2%
69658216 1
 
3.2%
72180987 1
 
3.2%
136003569 1
 
3.2%
165171547 1
 
3.2%
183886175 1
 
3.2%
333987978 1
 
3.2%
ValueCountFrequency (%)
6315627170 1
3.2%
5680464076 2
6.5%
5304679277 1
3.2%
4364917866 1
3.2%
3218745373 1
3.2%
2038962066 1
3.2%
1010947893 1
3.2%
757403502 1
3.2%
635163094 1
3.2%
526601426 1
3.2%

1997
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3288554 × 109
Minimum0
Maximum6.9558256 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:52.169570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.9359174 × 108
Q31.2886179 × 109
95-th percentile6.2015327 × 109
Maximum6.9558256 × 109
Range6.9558256 × 109
Interquartile range (IQR)1.2886179 × 109

Descriptive statistics

Standard deviation2.2074286 × 109
Coefficient of variation (CV)1.6611503
Kurtosis1.1711126
Mean1.3288554 × 109
Median Absolute Deviation (MAD)1.9359174 × 108
Skewness1.623688
Sum4.1194519 × 1010
Variance4.8727409 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:52.346296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
6201532744 2
 
6.5%
1487060388 1
 
3.2%
213858360 1
 
3.2%
3751397168 1
 
3.2%
403519 1
 
3.2%
2449732057 1
 
3.2%
754292810 1
 
3.2%
346842706 1
 
3.2%
123577360 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
403519 1
 
3.2%
12605956 1
 
3.2%
84775868 1
 
3.2%
90281000 1
 
3.2%
123577360 1
 
3.2%
193591744 1
 
3.2%
213858360 1
 
3.2%
312109142 1
 
3.2%
329238233 1
 
3.2%
ValueCountFrequency (%)
6955825554 1
3.2%
6201532744 2
6.5%
5468765166 1
3.2%
4574575084 1
3.2%
3751397168 1
3.2%
2449732057 1
3.2%
1487060388 1
3.2%
1090175378 1
3.2%
754292810 1
3.2%
552345893 1
3.2%

1998
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1128328 × 109
Minimum0
Maximum5.912353 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:52.469246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.2726272 × 108
Q31.7513116 × 109
95-th percentile4.7844127 × 109
Maximum5.912353 × 109
Range5.912353 × 109
Interquartile range (IQR)1.7513116 × 109

Descriptive statistics

Standard deviation1.6600137 × 109
Coefficient of variation (CV)1.491701
Kurtosis1.864863
Mean1.1128328 × 109
Median Absolute Deviation (MAD)3.2726272 × 108
Skewness1.6648042
Sum3.4497815 × 1010
Variance2.7556456 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:52.616748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9
29.0%
388290723 2
 
6.5%
4784412668 2
 
6.5%
151637603 2
 
6.5%
5912353022 1
 
3.2%
2334277092 1
 
3.2%
403519 1
 
3.2%
2449732057 1
 
3.2%
1127940354 1
 
3.2%
379206779 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
0 9
29.0%
403519 1
 
3.2%
94579739 1
 
3.2%
138409123 1
 
3.2%
151637603 2
 
6.5%
167103492 1
 
3.2%
327262722 1
 
3.2%
379206779 1
 
3.2%
388290723 2
 
6.5%
565817440 1
 
3.2%
ValueCountFrequency (%)
5912353022 1
3.2%
4784412668 2
6.5%
3656256308 1
3.2%
2596072654 1
3.2%
2449732057 1
3.2%
2334277092 1
3.2%
1867805991 1
3.2%
1634817129 1
3.2%
1127940354 1
3.2%
597095972 1
3.2%

1999
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7091864 × 108
Minimum0
Maximum3.5911328 × 109
Zeros9
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:52.752914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.7702178 × 108
Q31.0541493 × 109
95-th percentile2.628963 × 109
Maximum3.5911328 × 109
Range3.5911328 × 109
Interquartile range (IQR)1.0541493 × 109

Descriptive statistics

Standard deviation9.9678015 × 108
Coefficient of variation (CV)1.4856945
Kurtosis1.5540115
Mean6.7091864 × 108
Median Absolute Deviation (MAD)1.7702178 × 108
Skewness1.5855339
Sum2.0798478 × 1010
Variance9.9357067 × 1017
MonotonicityNot monotonic
2023-12-13T02:02:52.878547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9
29.0%
76844482 2
 
6.5%
2628963016 2
 
6.5%
213850938 2
 
6.5%
3591132801 1
 
3.2%
178868074 1
 
3.2%
362885 1
 
3.2%
2449732057 1
 
3.2%
962169785 1
 
3.2%
576390083 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
0 9
29.0%
362885 1
 
3.2%
15609976 1
 
3.2%
76844482 2
 
6.5%
128298202 1
 
3.2%
171928764 1
 
3.2%
177021780 1
 
3.2%
178868074 1
 
3.2%
186810934 1
 
3.2%
213850938 2
 
6.5%
ValueCountFrequency (%)
3591132801 1
3.2%
2628963016 2
6.5%
2449732057 1
3.2%
1897016509 1
3.2%
1617271810 1
3.2%
1302162674 1
3.2%
1146128752 1
3.2%
962169785 1
3.2%
576390083 1
3.2%
558256001 1
3.2%

2000
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3916948 × 108
Minimum0
Maximum4.096677 × 109
Zeros12
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:53.011449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88576761
Q31.2180784 × 109
95-th percentile3.1667467 × 109
Maximum4.096677 × 109
Range4.096677 × 109
Interquartile range (IQR)1.2180784 × 109

Descriptive statistics

Standard deviation1.140981 × 109
Coefficient of variation (CV)1.5435986
Kurtosis1.7676022
Mean7.3916948 × 108
Median Absolute Deviation (MAD)88576761
Skewness1.6237942
Sum2.2914254 × 1010
Variance1.3018375 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:53.146712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 12
38.7%
1775152481 3
 
9.7%
3239744004 1
 
3.2%
4096677044 1
 
3.2%
2321524563 1
 
3.2%
1579223783 1
 
3.2%
185366390 1
 
3.2%
470349845 1
 
3.2%
655716235 1
 
3.2%
86584545 1
 
3.2%
Other values (8) 8
25.8%
ValueCountFrequency (%)
0 12
38.7%
14861659 1
 
3.2%
37779765 1
 
3.2%
86584545 1
 
3.2%
88576761 1
 
3.2%
108214910 1
 
3.2%
185351130 1
 
3.2%
185366390 1
 
3.2%
470349845 1
 
3.2%
568143490 1
 
3.2%
ValueCountFrequency (%)
4096677044 1
 
3.2%
3239744004 1
 
3.2%
3093749329 1
 
3.2%
2321524563 1
 
3.2%
1775152481 3
9.7%
1579223783 1
 
3.2%
856933040 1
 
3.2%
655716235 1
 
3.2%
568143490 1
 
3.2%
470349845 1
 
3.2%

2001
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5852683 × 108
Minimum0
Maximum5.2253674 × 109
Zeros11
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:53.256247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.1632314 × 108
Q31.9852722 × 109
95-th percentile2.9525267 × 109
Maximum5.2253674 × 109
Range5.2253674 × 109
Interquartile range (IQR)1.9852722 × 109

Descriptive statistics

Standard deviation1.3105689 × 109
Coefficient of variation (CV)1.3672741
Kurtosis2.0934395
Mean9.5852683 × 108
Median Absolute Deviation (MAD)1.1632314 × 108
Skewness1.439833
Sum2.9714332 × 1010
Variance1.7175909 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:53.405702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
35.5%
2089636323 2
 
6.5%
2456045084 1
 
3.2%
37482220 1
 
3.2%
208728172 1
 
3.2%
1880908151 1
 
3.2%
3135731039 1
 
3.2%
1600390290 1
 
3.2%
127487433 1
 
3.2%
1370371096 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
0 11
35.5%
12401865 1
 
3.2%
33596643 1
 
3.2%
37482220 1
 
3.2%
55677721 1
 
3.2%
116323144 1
 
3.2%
127487433 1
 
3.2%
208728172 1
 
3.2%
582826538 1
 
3.2%
1370371096 1
 
3.2%
ValueCountFrequency (%)
5225367362 1
3.2%
3135731039 1
3.2%
2769322278 1
3.2%
2456045084 1
3.2%
2284044219 1
3.2%
2140497232 1
3.2%
2089636323 2
6.5%
1880908151 1
3.2%
1600390290 1
3.2%
1497858529 1
3.2%

2002
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0993767 × 109
Minimum0
Maximum5.9571548 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:53.525176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84934721
Q31.8888489 × 109
95-th percentile3.6225306 × 109
Maximum5.9571548 × 109
Range5.9571548 × 109
Interquartile range (IQR)1.8888489 × 109

Descriptive statistics

Standard deviation1.5385342 × 109
Coefficient of variation (CV)1.3994605
Kurtosis1.8318298
Mean1.0993767 × 109
Median Absolute Deviation (MAD)84934721
Skewness1.4557611
Sum3.4080676 × 1010
Variance2.3670874 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:53.651216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
2727627026 2
 
6.5%
2007472646 1
 
3.2%
1567275055 1
 
3.2%
208728173 1
 
3.2%
2518898853 1
 
3.2%
3229527807 1
 
3.2%
1618596615 1
 
3.2%
19915539 1
 
3.2%
84934721 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
7239765 1
 
3.2%
13345558 1
 
3.2%
19915539 1
 
3.2%
27183411 1
 
3.2%
43656137 1
 
3.2%
84934721 1
 
3.2%
208728173 1
 
3.2%
210064044 1
 
3.2%
633717802 1
 
3.2%
ValueCountFrequency (%)
5957154833 1
3.2%
3949682187 1
3.2%
3295379062 1
3.2%
3229527807 1
3.2%
2727627026 2
6.5%
2518898853 1
3.2%
2007472646 1
3.2%
1770225191 1
3.2%
1618596615 1
3.2%
1567275055 1
3.2%

2003
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0353242 × 109
Minimum0
Maximum5.6475229 × 109
Zeros11
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:53.815462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5227104 × 108
Q32.3062963 × 109
95-th percentile3.1137838 × 109
Maximum5.6475229 × 109
Range5.6475229 × 109
Interquartile range (IQR)2.3062963 × 109

Descriptive statistics

Standard deviation1.4483337 × 109
Coefficient of variation (CV)1.3989181
Kurtosis1.7629181
Mean1.0353242 × 109
Median Absolute Deviation (MAD)2.5227104 × 108
Skewness1.4460425
Sum3.2095049 × 1010
Variance2.0976705 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:53.949946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
35.5%
3067504646 2
 
6.5%
2487460027 1
 
3.2%
789929459 1
 
3.2%
288219770 1
 
3.2%
2779284876 1
 
3.2%
2580018263 1
 
3.2%
1537817767 1
 
3.2%
24196055 1
 
3.2%
44831259 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
0 11
35.5%
21876394 1
 
3.2%
24196055 1
 
3.2%
44831259 1
 
3.2%
46352001 1
 
3.2%
252271037 1
 
3.2%
279124572 1
 
3.2%
288219770 1
 
3.2%
687577387 1
 
3.2%
720902145 1
 
3.2%
ValueCountFrequency (%)
5647522909 1
3.2%
3160062882 1
3.2%
3067504646 2
6.5%
2779284876 1
3.2%
2580018263 1
3.2%
2487460027 1
3.2%
2450609101 1
3.2%
2161983454 1
3.2%
1537817767 1
3.2%
789929459 1
3.2%

2004
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0295667 × 109
Minimum0
Maximum5.62122 × 109
Zeros11
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:54.070925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85113482
Q32.2139602 × 109
95-th percentile3.321784 × 109
Maximum5.62122 × 109
Range5.62122 × 109
Interquartile range (IQR)2.2139602 × 109

Descriptive statistics

Standard deviation1.4747142 × 109
Coefficient of variation (CV)1.4323639
Kurtosis1.507374
Mean1.0295667 × 109
Median Absolute Deviation (MAD)85113482
Skewness1.4245225
Sum3.1916569 × 1010
Variance2.174782 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:54.186839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
35.5%
3321784012 2
 
6.5%
2714802040 1
 
3.2%
488684366 1
 
3.2%
288219770 1
 
3.2%
3033564242 1
 
3.2%
2299436018 1
 
3.2%
1740220229 1
 
3.2%
10253927 1
 
3.2%
20862065 1
 
3.2%
Other values (10) 10
32.3%
ValueCountFrequency (%)
0 11
35.5%
10253927 1
 
3.2%
20862065 1
 
3.2%
21845193 1
 
3.2%
70531423 1
 
3.2%
85113482 1
 
3.2%
288219770 1
 
3.2%
315557107 1
 
3.2%
457568374 1
 
3.2%
488684366 1
 
3.2%
ValueCountFrequency (%)
5621220030 1
3.2%
3321784012 2
6.5%
3033564242 1
3.2%
2906417990 1
3.2%
2714802040 1
3.2%
2314131451 1
3.2%
2299436018 1
3.2%
2128484368 1
3.2%
1740220229 1
3.2%
756088429 1
3.2%

2005
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0760081 × 109
Minimum0
Maximum5.8726063 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:54.335359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.1340715 × 108
Q32.0607213 × 109
95-th percentile3.8294516 × 109
Maximum5.8726063 × 109
Range5.8726063 × 109
Interquartile range (IQR)2.0607213 × 109

Descriptive statistics

Standard deviation1.5784154 × 109
Coefficient of variation (CV)1.4669178
Kurtosis1.4287048
Mean1.0760081 × 109
Median Absolute Deviation (MAD)1.1340715 × 108
Skewness1.4556523
Sum3.3356251 × 1010
Variance2.4913951 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:54.449807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
3829451600 2
 
6.5%
2576522329 1
 
3.2%
113407151 1
 
3.2%
542110474 1
 
3.2%
502483 1
 
3.2%
3287843609 1
 
3.2%
2043154696 1
 
3.2%
1722796218 1
 
3.2%
13554919 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
502483 1
 
3.2%
13554919 1
 
3.2%
21083254 1
 
3.2%
35800969 1
 
3.2%
80541721 1
 
3.2%
113407151 1
 
3.2%
157595439 1
 
3.2%
162763039 1
 
3.2%
417692680 1
 
3.2%
ValueCountFrequency (%)
5872606296 1
3.2%
3829451600 2
6.5%
3296083967 1
3.2%
3287843609 1
3.2%
2576522329 1
3.2%
2391971539 1
3.2%
2078287928 1
3.2%
2043154696 1
3.2%
1722796218 1
3.2%
883029174 1
3.2%

2006
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1689078 × 109
Minimum0
Maximum6.3674476 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:54.580926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.0777373 × 108
Q32.2152136 × 109
95-th percentile4.2229036 × 109
Maximum6.3674476 × 109
Range6.3674476 × 109
Interquartile range (IQR)2.2152136 × 109

Descriptive statistics

Standard deviation1.7314226 × 109
Coefficient of variation (CV)1.4812312
Kurtosis1.3523491
Mean1.1689078 × 109
Median Absolute Deviation (MAD)1.0777373 × 108
Skewness1.4584186
Sum3.6236141 × 1010
Variance2.9978243 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:54.696396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
4222903628 2
 
6.5%
2585727755 1
 
3.2%
107773731 1
 
3.2%
542110474 1
 
3.2%
30104652 1
 
3.2%
3650688502 1
 
3.2%
2144543928 1
 
3.2%
1713903184 1
 
3.2%
27736530 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
19548753 1
 
3.2%
27736530 1
 
3.2%
28687241 1
 
3.2%
30104652 1
 
3.2%
40489665 1
 
3.2%
107773731 1
 
3.2%
175999926 1
 
3.2%
254640818 1
 
3.2%
271157235 1
 
3.2%
ValueCountFrequency (%)
6367447556 1
3.2%
4222903628 2
6.5%
3781719801 1
3.2%
3650688502 1
3.2%
2732019079 1
3.2%
2585727755 1
3.2%
2285883279 1
3.2%
2144543928 1
3.2%
1713903184 1
3.2%
1030151969 1
3.2%

2007
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2696723 × 109
Minimum0
Maximum6.8780204 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:54.846864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.0769658 × 108
Q32.2942423 × 109
95-th percentile4.8043085 × 109
Maximum6.8780204 × 109
Range6.8780204 × 109
Interquartile range (IQR)2.2942423 × 109

Descriptive statistics

Standard deviation1.8853629 × 109
Coefficient of variation (CV)1.4849208
Kurtosis1.372639
Mean1.2696723 × 109
Median Absolute Deviation (MAD)1.0769658 × 108
Skewness1.4787281
Sum3.9359843 × 1010
Variance3.5545933 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:54.967903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
4804308480 2
 
6.5%
3168214084 1
 
3.2%
107696584 1
 
3.2%
733732628 1
 
3.2%
57042457 1
 
3.2%
4013533395 1
 
3.2%
2073711913 1
 
3.2%
1617293189 1
 
3.2%
35616284 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
12546173 1
 
3.2%
22119429 1
 
3.2%
35616284 1
 
3.2%
57042457 1
 
3.2%
72076962 1
 
3.2%
107696584 1
 
3.2%
165432297 1
 
3.2%
290986427 1
 
3.2%
297147043 1
 
3.2%
ValueCountFrequency (%)
6878020393 1
3.2%
4804308480 2
6.5%
4013533395 1
3.2%
3709806309 1
3.2%
3168214084 1
3.2%
2798990079 1
3.2%
2514772644 1
3.2%
2073711913 1
3.2%
1617293189 1
3.2%
1182487492 1
3.2%

2008
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1988893 × 109
Minimum0
Maximum6.497651 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:55.134134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12410924
median2.0745015 × 108
Q31.8230814 × 109
95-th percentile4.6860962 × 109
Maximum6.497651 × 109
Range6.497651 × 109
Interquartile range (IQR)1.8206705 × 109

Descriptive statistics

Standard deviation1.7961849 × 109
Coefficient of variation (CV)1.4982075
Kurtosis1.5347303
Mean1.1988893 × 109
Median Absolute Deviation (MAD)2.0745015 × 108
Skewness1.5511486
Sum3.7165568 × 1010
Variance3.2262801 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:55.344304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8
25.8%
15134353 2
 
6.5%
4686096167 2
 
6.5%
6497650983 1
 
3.2%
662308371 1
 
3.2%
10254401 1
 
3.2%
4013533395 1
 
3.2%
1796420463 1
 
3.2%
1518469392 1
 
3.2%
21485230 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 8
25.8%
4821848 1
 
3.2%
10254401 1
 
3.2%
10955733 1
 
3.2%
15134353 2
 
6.5%
21485230 1
 
3.2%
21485300 1
 
3.2%
207450147 1
 
3.2%
237718853 1
 
3.2%
256465771 1
 
3.2%
ValueCountFrequency (%)
6497650983 1
3.2%
4686096167 2
6.5%
4013533395 1
3.2%
3945821658 1
3.2%
2542533875 1
3.2%
2314110472 1
3.2%
1849742311 1
3.2%
1796420463 1
3.2%
1518469392 1
3.2%
1392332050 1
3.2%

2009
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3220387 × 109
Minimum0
Maximum7.1179874 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:55.473169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1265394
median2.0329767 × 108
Q31.8919325 × 109
95-th percentile5.1873283 × 109
Maximum7.1179874 × 109
Range7.1179874 × 109
Interquartile range (IQR)1.8916671 × 109

Descriptive statistics

Standard deviation1.9716153 × 109
Coefficient of variation (CV)1.4913446
Kurtosis1.5354328
Mean1.3220387 × 109
Median Absolute Deviation (MAD)2.0329767 × 108
Skewness1.5557366
Sum4.0983199 × 1010
Variance3.8872668 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:55.631827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8
25.8%
5187328318 2
 
6.5%
5182574 2
 
6.5%
2518641017 1
 
3.2%
216299297 1
 
3.2%
1125179035 1
 
3.2%
48615888 1
 
3.2%
4013533395 1
 
3.2%
1925476498 1
 
3.2%
1334530686 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 8
25.8%
530788 1
 
3.2%
5182574 2
 
6.5%
10365148 1
 
3.2%
13001628 1
 
3.2%
13159216 1
 
3.2%
48615888 1
 
3.2%
203297669 1
 
3.2%
216299297 1
 
3.2%
374646515 1
 
3.2%
ValueCountFrequency (%)
7117987389 1
3.2%
5187328318 2
6.5%
4588981224 1
3.2%
4013533395 1
3.2%
3143017837 1
3.2%
2518641017 1
3.2%
1925476498 1
3.2%
1858388455 1
3.2%
1432804171 1
3.2%
1334530686 1
3.2%

2010
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4817765 × 109
Minimum0
Maximum7.9056444 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:55.794703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2323949 × 108
Q32.3997677 × 109
95-th percentile5.8307414 × 109
Maximum7.9056444 × 109
Range7.9056444 × 109
Interquartile range (IQR)2.3997677 × 109

Descriptive statistics

Standard deviation2.1624388 × 109
Coefficient of variation (CV)1.4593556
Kurtosis1.6284771
Mean1.4817765 × 109
Median Absolute Deviation (MAD)1.2323949 × 108
Skewness1.5475867
Sum4.593507 × 1010
Variance4.6761417 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:55.949528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
5830741373 2
 
6.5%
3396235973 1
 
3.2%
499324504 1
 
3.2%
1419975440 1
 
3.2%
112381453 1
 
3.2%
4298384480 1
 
3.2%
2074902985 1
 
3.2%
1375556451 1
 
3.2%
23772373 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
11202881 1
 
3.2%
17190212 1
 
3.2%
23772373 1
 
3.2%
53010163 1
 
3.2%
112381453 1
 
3.2%
123239494 1
 
3.2%
499324504 1
 
3.2%
576107040 1
 
3.2%
654413346 1
 
3.2%
ValueCountFrequency (%)
7905644358 1
3.2%
5830741373 2
6.5%
4509408385 1
3.2%
4298384480 1
3.2%
3396235973 1
3.2%
2846937148 1
3.2%
2724632415 1
3.2%
2074902985 1
3.2%
1651268356 1
3.2%
1419975440 1
3.2%

2011
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5225607 × 109
Minimum0
Maximum8.141877 × 109
Zeros10
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:56.125731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2761096 × 108
Q32.3098723 × 109
95-th percentile6.0104792 × 109
Maximum8.141877 × 109
Range8.141877 × 109
Interquartile range (IQR)2.3098723 × 109

Descriptive statistics

Standard deviation2.2296561 × 109
Coefficient of variation (CV)1.4644119
Kurtosis1.6074506
Mean1.5225607 × 109
Median Absolute Deviation (MAD)1.2761096 × 108
Skewness1.5428674
Sum4.7199381 × 1010
Variance4.9713662 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:56.301038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
32.3%
6010479150 2
 
6.5%
3827131620 1
 
3.2%
325290244 1
 
3.2%
1373874475 1
 
3.2%
103060998 1
 
3.2%
4533543677 1
 
3.2%
2131397863 1
 
3.2%
1538614906 1
 
3.2%
26616029 1
 
3.2%
Other values (11) 11
35.5%
ValueCountFrequency (%)
0 10
32.3%
22051938 1
 
3.2%
24928478 1
 
3.2%
26616029 1
 
3.2%
103060998 1
 
3.2%
113265723 1
 
3.2%
127610961 1
 
3.2%
325290244 1
 
3.2%
479517234 1
 
3.2%
720478230 1
 
3.2%
ValueCountFrequency (%)
8141877013 1
3.2%
6010479150 2
6.5%
4533543677 1
3.2%
4314745393 1
3.2%
3827131620 1
3.2%
3084601452 1
3.2%
2488346639 1
3.2%
2131397863 1
3.2%
1801470276 1
3.2%
1538614906 1
3.2%

2012
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6299472 × 109
Minimum0
Maximum8.7509844 × 109
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:56.447532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17295006.5
median4.1580616 × 108
Q32.5389669 × 109
95-th percentile6.3576367 × 109
Maximum8.7509844 × 109
Range8.7509844 × 109
Interquartile range (IQR)2.5316719 × 109

Descriptive statistics

Standard deviation2.3510659 × 109
Coefficient of variation (CV)1.4424184
Kurtosis1.8821838
Mean1.6299472 × 109
Median Absolute Deviation (MAD)4.1580616 × 108
Skewness1.5982751
Sum5.0528365 × 1010
Variance5.527511 × 1018
MonotonicityNot monotonic
2023-12-13T02:02:56.572691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8
25.8%
6357636728 2
 
6.5%
454257261 2
 
6.5%
3325429473 1
 
3.2%
211178110 1
 
3.2%
1446882962 1
 
3.2%
144383796 1
 
3.2%
4766369970 1
 
3.2%
2393347635 1
 
3.2%
1905245594 1
 
3.2%
Other values (12) 12
38.7%
ValueCountFrequency (%)
0 8
25.8%
14590013 1
 
3.2%
18752753 1
 
3.2%
23931062 1
 
3.2%
72295881 1
 
3.2%
144383796 1
 
3.2%
190038037 1
 
3.2%
211178110 1
 
3.2%
415806160 1
 
3.2%
454257261 2
 
6.5%
ValueCountFrequency (%)
8750984363 1
3.2%
6357636728 2
6.5%
4971297629 1
3.2%
4766369970 1
3.2%
3325429473 1
3.2%
2859196046 1
3.2%
2684586165 1
3.2%
2393347635 1
3.2%
2088170521 1
3.2%
1905245594 1
3.2%

2013
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1636344 × 109
Minimum0
Maximum1.1543879 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:56.708704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15422700
median3.7835785 × 108
Q32.5830236 × 109
95-th percentile8.9749152 × 109
Maximum1.1543879 × 1010
Range1.1543879 × 1010
Interquartile range (IQR)2.5776009 × 109

Descriptive statistics

Standard deviation3.2011572 × 109
Coefficient of variation (CV)1.4795278
Kurtosis2.0271084
Mean2.1636344 × 109
Median Absolute Deviation (MAD)3.7835785 × 108
Skewness1.6987862
Sum6.7072666 × 1010
Variance1.0247407 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:56.851598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
8974915168 2
 
6.5%
808056718 2
 
6.5%
2516212199 1
 
3.2%
378357846 1
 
3.2%
1487228448 1
 
3.2%
2597083845 1
 
3.2%
4890602875 1
 
3.2%
2568963391 1
 
3.2%
2122582229 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
1865821 1
 
3.2%
8979579 1
 
3.2%
15301244 1
 
3.2%
18949002 1
 
3.2%
68023316 1
 
3.2%
96749584 1
 
3.2%
279742441 1
 
3.2%
329133375 1
 
3.2%
378357846 1
 
3.2%
ValueCountFrequency (%)
11543878559 1
3.2%
8974915168 2
6.5%
8219609642 1
3.2%
4890602875 1
3.2%
4532334062 1
3.2%
3662994757 1
3.2%
2597083845 1
3.2%
2568963391 1
3.2%
2516212199 1
3.2%
2168129822 1
3.2%

2014
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2445903 × 109
Minimum0
Maximum1.2024715 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:57.000969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15290525
median6.7625183 × 108
Q32.9119555 × 109
95-th percentile9.0878974 × 109
Maximum1.2024715 × 1010
Range1.2024715 × 1010
Interquartile range (IQR)2.906665 × 109

Descriptive statistics

Standard deviation3.2646434 × 109
Coefficient of variation (CV)1.4544495
Kurtosis2.1572551
Mean2.2445903 × 109
Median Absolute Deviation (MAD)6.7625183 × 108
Skewness1.7093665
Sum6.95823 × 1010
Variance1.0657896 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:57.464798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
9087897428 2
 
6.5%
370827700 2
 
6.5%
2887093440 1
 
3.2%
162248188 1
 
3.2%
1454899625 1
 
3.2%
2545177969 1
 
3.2%
5087819834 1
 
3.2%
2936817533 1
 
3.2%
2284068574 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
40383 1
 
3.2%
10540667 1
 
3.2%
10808094 1
 
3.2%
18531573 1
 
3.2%
162248188 1
 
3.2%
281921259 1
 
3.2%
370827700 2
 
6.5%
676251826 1
 
3.2%
720268998 1
 
3.2%
ValueCountFrequency (%)
12024714961 1
3.2%
9087897428 2
6.5%
8255063952 1
3.2%
5087819834 1
3.2%
4618661276 1
3.2%
3615053915 1
3.2%
2936817533 1
3.2%
2887093440 1
3.2%
2545177969 1
3.2%
2284068574 1
3.2%

2015
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2935628 × 109
Minimum0
Maximum1.2263816 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:57.587955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17777504
median5.4902146 × 108
Q32.8029802 × 109
95-th percentile9.2323466 × 109
Maximum1.2263816 × 1010
Range1.2263816 × 1010
Interquartile range (IQR)2.7952027 × 109

Descriptive statistics

Standard deviation3.3819532 × 109
Coefficient of variation (CV)1.4745413
Kurtosis1.9855006
Mean2.2935628 × 109
Median Absolute Deviation (MAD)5.4902146 × 108
Skewness1.6844784
Sum7.1100448 × 1010
Variance1.1437608 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:57.724077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
9232346552 2
 
6.5%
695000033 2
 
6.5%
2574491071 1
 
3.2%
549021464 1
 
3.2%
1467043763 1
 
3.2%
2465335358 1
 
3.2%
5299967431 1
 
3.2%
3031469358 1
 
3.2%
2257662342 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
7008719 1
 
3.2%
8546289 1
 
3.2%
12327006 1
 
3.2%
13770091 1
 
3.2%
19025222 1
 
3.2%
224785552 1
 
3.2%
275280847 1
 
3.2%
522987523 1
 
3.2%
549021464 1
 
3.2%
ValueCountFrequency (%)
12263815910 1
3.2%
9232346552 2
6.5%
8994324806 1
3.2%
5299967431 1
3.2%
4642591232 1
3.2%
4329417194 1
3.2%
3031469358 1
3.2%
2574491071 1
3.2%
2465335358 1
3.2%
2286883218 1
3.2%

2016
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6594098 × 109
Minimum0
Maximum1.4178491 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:57.836931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14863114
median6.3461081 × 108
Q33.5686037 × 109
95-th percentile1.0938554 × 1010
Maximum1.4178491 × 1010
Range1.4178491 × 1010
Interquartile range (IQR)3.5637406 × 109

Descriptive statistics

Standard deviation3.9831457 × 109
Coefficient of variation (CV)1.4977556
Kurtosis1.884099
Mean2.6594098 × 109
Median Absolute Deviation (MAD)6.3461081 × 108
Skewness1.6796994
Sum8.2441702 × 1010
Variance1.586545 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:57.959845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
10711346679 2
 
6.5%
399856307 2
 
6.5%
2612874229 1
 
3.2%
837900222 1
 
3.2%
1434487218 1
 
3.2%
3670062963 1
 
3.2%
5606796498 1
 
3.2%
3467144420 1
 
3.2%
1994633391 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
2586175 1
 
3.2%
7140053 1
 
3.2%
11644429 1
 
3.2%
17773509 1
 
3.2%
113429481 1
 
3.2%
114909616 1
 
3.2%
399856307 2
 
6.5%
634610807 1
 
3.2%
721884566 1
 
3.2%
ValueCountFrequency (%)
14178491099 1
3.2%
11165760563 1
3.2%
10711346679 2
6.5%
5705894515 1
3.2%
5606796498 1
3.2%
5434952486 1
3.2%
3670062963 1
3.2%
3467144420 1
3.2%
2612874229 1
3.2%
2486320184 1
3.2%

2017
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6746287 × 109
Minimum0
Maximum1.4089339 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:58.081911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11269296.5
median2.9352626 × 108
Q32.9453153 × 109
95-th percentile1.1283804 × 1010
Maximum1.4089339 × 1010
Range1.4089339 × 1010
Interquartile range (IQR)2.944046 × 109

Descriptive statistics

Standard deviation4.0726224 × 109
Coefficient of variation (CV)1.522687
Kurtosis1.75483
Mean2.6746287 × 109
Median Absolute Deviation (MAD)2.9352626 × 108
Skewness1.6696632
Sum8.2913491 × 1010
Variance1.6586253 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:58.188790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
22.6%
11283804046 2
 
6.5%
2921812417 1
 
3.2%
14089338913 1
 
3.2%
2968818187 1
 
3.2%
2708189361 1
 
3.2%
5606796498 1
 
3.2%
2805534867 1
 
3.2%
1584008364 1
 
3.2%
293526258 1
 
3.2%
Other values (14) 14
45.2%
ValueCountFrequency (%)
0 7
22.6%
914043 1
 
3.2%
1624550 1
 
3.2%
2538593 1
 
3.2%
5710269 1
 
3.2%
14057301 1
 
3.2%
18263510 1
 
3.2%
38533891 1
 
3.2%
79084146 1
 
3.2%
293526258 1
 
3.2%
ValueCountFrequency (%)
14089338913 1
3.2%
11283804046 2
6.5%
11164987903 1
3.2%
6729495539 1
3.2%
5606796498 1
3.2%
4411518585 1
3.2%
2968818187 1
3.2%
2921812417 1
3.2%
2828670970 1
3.2%
2805534867 1
3.2%

2018
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8302865 × 109
Minimum0
Maximum1.4924857 × 1010
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:58.301007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1418610.5
median6.5884071 × 108
Q33.5012309 × 109
95-th percentile1.1638293 × 1010
Maximum1.4924857 × 1010
Range1.4924857 × 1010
Interquartile range (IQR)3.5008123 × 109

Descriptive statistics

Standard deviation4.2138064 × 109
Coefficient of variation (CV)1.4888268
Kurtosis1.8429626
Mean2.8302865 × 109
Median Absolute Deviation (MAD)6.5884071 × 108
Skewness1.6806263
Sum8.7738882 × 1010
Variance1.7756164 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:58.414431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 8
25.8%
11139307798 2
 
6.5%
2787578486 1
 
3.2%
634641300 1
 
3.2%
3216912252 1
 
3.2%
2315599048 1
 
3.2%
5606796498 1
 
3.2%
3785549623 1
 
3.2%
1151421875 1
 
3.2%
459976861 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 8
25.8%
837221 1
 
3.2%
4359356 1
 
3.2%
6157295 1
 
3.2%
30167716 1
 
3.2%
71101332 1
 
3.2%
459976861 1
 
3.2%
634641300 1
 
3.2%
658840710 1
 
3.2%
879831656 1
 
3.2%
ValueCountFrequency (%)
14924857421 1
3.2%
12137278935 1
3.2%
11139307798 2
6.5%
7755812631 1
3.2%
5606796498 1
3.2%
4370949653 1
3.2%
3785549623 1
3.2%
3216912252 1
3.2%
2787578486 1
3.2%
2686309438 1
3.2%

2019
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9686745 × 109
Minimum0
Maximum1.5663895 × 1010
Zeros8
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:58.587687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13438011
median8.6264892 × 108
Q33.409115 × 109
95-th percentile1.2666366 × 1010
Maximum1.5663895 × 1010
Range1.5663895 × 1010
Interquartile range (IQR)3.405677 × 109

Descriptive statistics

Standard deviation4.536082 × 109
Coefficient of variation (CV)1.5279822
Kurtosis1.799468
Mean2.9686745 × 109
Median Absolute Deviation (MAD)8.6264892 × 108
Skewness1.6958881
Sum9.2028911 × 1010
Variance2.057604 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:58.761340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 8
25.8%
12294302066 2
 
6.5%
2625465677 1
 
3.2%
223316635 1
 
3.2%
3238868578 1
 
3.2%
3448636990 1
 
3.2%
5606796498 1
 
3.2%
3369593042 1
 
3.2%
1022523810 1
 
3.2%
310171884 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 8
25.8%
6876022 1
 
3.2%
10070852 1
 
3.2%
18995867 1
 
3.2%
26089062 1
 
3.2%
70985812 1
 
3.2%
223316635 1
 
3.2%
310171884 1
 
3.2%
862648920 1
 
3.2%
931935926 1
 
3.2%
ValueCountFrequency (%)
15663895108 1
3.2%
13038429431 1
3.2%
12294302066 2
6.5%
8055884839 1
3.2%
5606796498 1
3.2%
4965597718 1
3.2%
3448636990 1
3.2%
3369593042 1
3.2%
3238868578 1
3.2%
2625465677 1
3.2%

2020
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1396636 × 109
Minimum0
Maximum1.6551042 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:58.896339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17374037.5
median1.0581822 × 109
Q33.9546904 × 109
95-th percentile1.3516177 × 1010
Maximum1.6551042 × 1010
Range1.6551042 × 1010
Interquartile range (IQR)3.9473164 × 109

Descriptive statistics

Standard deviation4.763553 × 109
Coefficient of variation (CV)1.5172177
Kurtosis1.973339
Mean3.1396636 × 109
Median Absolute Deviation (MAD)1.0581822 × 109
Skewness1.7434155
Sum9.732957 × 1010
Variance2.2691437 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:59.030674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
13516177366 2
 
6.5%
1173223658 2
 
6.5%
2337282927 1
 
3.2%
1058182192 1
 
3.2%
3678045124 1
 
3.2%
4231335744 1
 
3.2%
5606796498 1
 
3.2%
3034864747 1
 
3.2%
1176992618 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
5559434 1
 
3.2%
9188641 1
 
3.2%
21370002 1
 
3.2%
37462002 1
 
3.2%
71026221 1
 
3.2%
177372965 1
 
3.2%
799689937 1
 
3.2%
843347225 1
 
3.2%
1058182192 1
 
3.2%
ValueCountFrequency (%)
16551042113 1
3.2%
13516177366 2
6.5%
13040535528 1
3.2%
7715931633 1
3.2%
5606796498 1
3.2%
5309855820 1
3.2%
4231335744 1
3.2%
3678045124 1
3.2%
3034864747 1
3.2%
2337282927 1
3.2%

2021
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5597721 × 109
Minimum0
Maximum1.8721951 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:59.156861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18585044
median1.0218655 × 109
Q34.8746478 × 109
95-th percentile1.5356092 × 1010
Maximum1.8721951 × 1010
Range1.8721951 × 1010
Interquartile range (IQR)4.8660628 × 109

Descriptive statistics

Standard deviation5.3108993 × 109
Coefficient of variation (CV)1.4919211
Kurtosis2.1332464
Mean3.5597721 × 109
Median Absolute Deviation (MAD)1.0218655 × 109
Skewness1.765283
Sum1.1035294 × 1011
Variance2.8205651 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:59.273774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
15356092148 2
 
6.5%
1948421856 2
 
6.5%
2635752611 1
 
3.2%
1387090137 1
 
3.2%
4309247864 1
 
3.2%
5440047786 1
 
3.2%
5606796498 1
 
3.2%
3365858516 1
 
3.2%
1021865487 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
4252613 1
 
3.2%
12917475 1
 
3.2%
28731908 1
 
3.2%
33719445 1
 
3.2%
77189494 1
 
3.2%
504839163 1
 
3.2%
848531529 1
 
3.2%
956902892 1
 
3.2%
1021865487 1
 
3.2%
ValueCountFrequency (%)
18721950664 1
3.2%
15356092148 2
6.5%
14137776197 1
3.2%
7590441535 1
3.2%
6530164574 1
3.2%
5606796498 1
3.2%
5440047786 1
3.2%
4309247864 1
3.2%
3365858516 1
3.2%
2635752611 1
3.2%

2022
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4867376 × 109
Minimum0
Maximum1.8349291 × 1010
Zeros7
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-13T02:02:59.408379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14561981
median1.0446147 × 109
Q34.8455001 × 109
95-th percentile1.5297797 × 1010
Maximum1.8349291 × 1010
Range1.8349291 × 1010
Interquartile range (IQR)4.8409381 × 109

Descriptive statistics

Standard deviation5.2554815 × 109
Coefficient of variation (CV)1.5072776
Kurtosis2.0984036
Mean3.4867376 × 109
Median Absolute Deviation (MAD)1.0446147 × 109
Skewness1.7585457
Sum1.0808886 × 1011
Variance2.7620085 × 1019
MonotonicityNot monotonic
2023-12-13T02:02:59.544154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
22.6%
15297796704 2
 
6.5%
2947229327 2
 
6.5%
1556186593 1
 
3.2%
1044614717 1
 
3.2%
4822754048 1
 
3.2%
4868246158 1
 
3.2%
5606796498 1
 
3.2%
3051493830 1
 
3.2%
1152204574 1
 
3.2%
Other values (13) 13
41.9%
ValueCountFrequency (%)
0 7
22.6%
885422 1
 
3.2%
8238540 1
 
3.2%
10074979 1
 
3.2%
22577240 1
 
3.2%
30970294 1
 
3.2%
212479943 1
 
3.2%
823896234 1
 
3.2%
854674539 1
 
3.2%
1044614717 1
 
3.2%
ValueCountFrequency (%)
18349290534 1
3.2%
15297796704 2
6.5%
13845874614 1
3.2%
6999459963 1
3.2%
6805369378 1
3.2%
5606796498 1
3.2%
4868246158 1
3.2%
4822754048 1
3.2%
3051493830 1
3.2%
2947229327 2
6.5%

Sample

구분1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
0I.유동자산81976482131293814149643388155258155152119947179132991306966843311497843353984963544531545744241905857150654917773330101094789314870603881867805991161727181032397440042456045084200747264624874600272714802040257652232925857277553168214084231411047225186410173396235973382713162033254294732516212199288709344025744910712612874229292181241727875784862625465677233728292726357526111556186593
11.당좌자산8038423311629196814416889012876940614464669817007738621062433822631486525392374741727475956607574865247742368600702375740350210901753781634817129130216267430937493292284044219177022519121619834542314131451207828792822858832792798990079184974231118583884552724632415308460145226845861652168129822219231004122868832182486320184282867097026863094382528390803224488670425298312091532723931
22.재고자산015160252360101224761425809253994603519742054035857461559883074511131711112995891560163921838861753121091421384091231868109341082149101163231442100640442791245723155571074176926802711572352971470434595463136597217746544133467204782306220905553291333756762518262752808471149096167908414671101332709858127102622177189494885422
33.기타유동자산15922491348582131143972424113548923245061002911450857977939392599657118426041167034446193373642757499156965821684775868945797391282982023777976555677721271834114635200185113482805417212868724172076962482184853078817190212220519381875275318949002185315731232700611644429140573013016771626089062213700022873190822577240
4II.비유동자산1150901010147854204817599797452089467790242538404027889664843046196541346961393139211065554237999280448266389248218461614562463212530467927754687651663656256308189701650985693304027693222783949682187316006288229064179903296083967378171980137098063093945821658458898122445094083854314745393497129762982196096428255063952899432480611165760563111649879031213727893513038429431130405355281413777619713845874614
51.투자자산93697993811088043361260989595149391486016596891021884317825201512765223953854052851294183311418840733631183523733126697359246189443649178664574575084259607265411461287521853511302140497232329537906224506091012128484368239197153927320190792514772644254253387531430178372846937148248834663928591960463662994757361505391543294171945434952486672949553977558126318055884839771593163375904415356805369378
62.대부자산549590191593403222307183192979080034239097685416785826535271546435378516105940395999612145377510355158126054725588214003153343292382333272627221770217808857676133596643723976500000000000000000000
73.유형자산15843612320899003026644238429574745834017035836154555037492743942755343845567898651977214457720285756811126049257169152660142655234589356581744055825600156814349058282653863371780268757738775608842988302917410301519691182487492139233205014328041711651268356180147027620881705214532334062461866127646425912325705894515441151858543709496534965597718530985582065301645746999459963
84.무형자산0000000000000000000000000000001530124410540667854628971400535710269435935668760225559434425261330970294
95.기타비유동자산5259301407360182944718974691614812142452726142963137237353934740775154591648479559948708061284465112605956167103492156099761486165912401865133455582187639421845193210832541954875312546173109557331315921611202881249284782393106289795791080809413770091177735091826351061572951007085291886411291747510074979
구분1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
214.퇴직수당계정0000000000000000000000000000019003803796749584019025222113429481293526258459976861310171884177372965504839163212479943
22III.비유동부채280330636363516210297853511255800811486977913944798713859231713839655116102260920420478423046249925391103029230149333398797834684270637920677957639008315792237831600390290161859661515378177671740220229172279621817139031841617293189151846939213345306861375556451153861490619052455942122582229228406857422576623421994633391158400836411514218751022523810117699261810218654871152204574
23[부채]95021715142649208137358249175313956156248118186788802175249948202501327231493330290762685381925203444718555452677892635163094754292810112794035496216978523215245633135731039322952780725800182632299436018204315469621445439282073711913179642046319254764982074902985213139786323933476352568963391293681753330314693583467144420280553486737855496233369593042303486474733658585163051493830
24IV.공무원연금기금11378557771467186654178295275220951000152443008083278933350331779134363578610447404359818844917681404900278573524135408251495036675680464076620153274447844126682628963016177515248120896363232727627026306750464633217840123829451600422290362848043084804686096167518732831858307413736010479150635763672889749151689087897428923234655210711346679112838040461113930779812294302066135161773661535609214815297796704
251.자본금1010714649119393133113334958451436922185156656728916487563181758507034182468303918879192091955130594198840395019884039501988403950203896206624497320572449732057244973205717751524811880908151251889885327792848763033564242328784360936506885024013533395401353339540135333954298384480453354367747663699704890602875508781983452999674315606796498560679649856067964985606796498560679649856067964985606796498
262.자본잉여금02647015653335151735151736475436477336711536719236745636745640345340351740351940351940351936288500000000000000000000000
273.퇴직급여지급준비금00000025847327431556540936809572638694832636096555742632696345235404842235311800000000000000000000000000
284.기타포괄손익누계액0000000000000000000000502483301046525704245710254401486158881123814531030609981443837962597083845254517796924653353583670062963270818936123155990483448636990423133574454400477864868246158
295.이익잉여금12714112827322885344930037465782631387608927711402124311160568355143799488417872160612149321764255054161028262197162708342152321874537337513971682334277092178868074020872817220872817328821977028821977054211047454211047473373262866230837111251790351419975440137387447514468829621487228448145489962514670437631434487218296881818732169122523238868578367804512443092478644822754048
30[자본]11378557771467186654178295275220951000152443008083278933350331779134363578610447404359818844917681404900278573524135408251495036675680464076620153274447844126682628963016177515248120896363232727627026306750464633217840123829451600422290362848043084804686096167518732831858307413736010479150635763672889749151689087897428923234655210711346679112838040461113930779812294302066135161773661535609214815297796704