Overview

Dataset statistics

Number of variables44
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory397.7 B

Variable types

Text1
Numeric43

Dataset

Description공무원 연령별 가입자 추이에 대한 데이터입니다. 18세 미만부터 65세 이상까지의 자료이며 2001년부터 연 단위로 구분됩니다.
URLhttps://www.data.go.kr/data/15054013/fileData.do

Alerts

구분 has unique valuesUnique
2001 has unique valuesUnique
2002 has unique valuesUnique
2003 has unique valuesUnique
2007 has unique valuesUnique
2010 has unique valuesUnique
2012 has unique valuesUnique
2013 has unique valuesUnique
2014 has unique valuesUnique
2015 has unique valuesUnique
2016 has unique valuesUnique
2017 has unique valuesUnique
2018 has unique valuesUnique
2019 has unique valuesUnique
2020 has unique valuesUnique
2021 has unique valuesUnique
2022 has unique valuesUnique
has unique valuesUnique
has unique valuesUnique
1982 has 40 (81.6%) zerosZeros
1983 has 40 (81.6%) zerosZeros
1984 has 40 (81.6%) zerosZeros
1985 has 40 (81.6%) zerosZeros
1986 has 40 (81.6%) zerosZeros
1987 has 40 (81.6%) zerosZeros
1988 has 39 (79.6%) zerosZeros
1989 has 39 (79.6%) zerosZeros
1990 has 39 (79.6%) zerosZeros
1991 has 39 (79.6%) zerosZeros
1992 has 39 (79.6%) zerosZeros
1993 has 39 (79.6%) zerosZeros
1994 has 39 (79.6%) zerosZeros
1995 has 39 (79.6%) zerosZeros
1996 has 39 (79.6%) zerosZeros
1997 has 39 (79.6%) zerosZeros
1998 has 39 (79.6%) zerosZeros
1999 has 39 (79.6%) zerosZeros
2000 has 39 (79.6%) zerosZeros
2001 has 1 (2.0%) zerosZeros
2002 has 1 (2.0%) zerosZeros
2003 has 1 (2.0%) zerosZeros
2004 has 2 (4.1%) zerosZeros
2005 has 2 (4.1%) zerosZeros
2006 has 1 (2.0%) zerosZeros
2007 has 1 (2.0%) zerosZeros
2008 has 2 (4.1%) zerosZeros
2009 has 2 (4.1%) zerosZeros
2010 has 1 (2.0%) zerosZeros
2011 has 1 (2.0%) zerosZeros
2012 has 1 (2.0%) zerosZeros
2013 has 1 (2.0%) zerosZeros
2017 has 1 (2.0%) zerosZeros
2018 has 1 (2.0%) zerosZeros
2019 has 1 (2.0%) zerosZeros
2020 has 1 (2.0%) zerosZeros
2021 has 1 (2.0%) zerosZeros
2022 has 1 (2.0%) zerosZeros
has 1 (2.0%) zerosZeros
has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 09:51:16.374582
Analysis finished2023-12-12 09:51:16.792174
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T18:51:16.947070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.1836735
Min length3

Characters and Unicode

Total characters156
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row18세 미만
2nd row18세 이상
3rd row19세
4th row20세
5th row21세
ValueCountFrequency (%)
18세 2
 
3.8%
이상 2
 
3.8%
54세 1
 
1.9%
44세 1
 
1.9%
45세 1
 
1.9%
46세 1
 
1.9%
47세 1
 
1.9%
48세 1
 
1.9%
49세 1
 
1.9%
50세 1
 
1.9%
Other values (40) 40
76.9%
2023-12-12T18:51:17.260833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
31.4%
2 15
 
9.6%
3 15
 
9.6%
4 15
 
9.6%
5 15
 
9.6%
6 10
 
6.4%
1 8
 
5.1%
8 6
 
3.8%
9 5
 
3.2%
0 5
 
3.2%
Other values (6) 13
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
62.8%
Other Letter 55
35.3%
Space Separator 3
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
15.3%
3 15
15.3%
4 15
15.3%
5 15
15.3%
6 10
10.2%
1 8
8.2%
8 6
 
6.1%
9 5
 
5.1%
0 5
 
5.1%
7 4
 
4.1%
Other Letter
ValueCountFrequency (%)
49
89.1%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 101
64.7%
Hangul 55
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 15
14.9%
3 15
14.9%
4 15
14.9%
5 15
14.9%
6 10
9.9%
1 8
7.9%
8 6
 
5.9%
9 5
 
5.0%
0 5
 
5.0%
7 4
 
4.0%
Hangul
ValueCountFrequency (%)
49
89.1%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101
64.7%
Hangul 55
35.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
49
89.1%
2
 
3.6%
2
 
3.6%
1
 
1.8%
1
 
1.8%
ASCII
ValueCountFrequency (%)
2 15
14.9%
3 15
14.9%
4 15
14.9%
5 15
14.9%
6 10
9.9%
1 8
7.9%
8 6
 
5.9%
9 5
 
5.0%
0 5
 
5.0%
7 4
 
4.0%

1982
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13623.551
Minimum0
Maximum135983
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:17.377673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99084.8
Maximum135983
Range135983
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34737.603
Coefficient of variation (CV)2.54982
Kurtosis5.0956414
Mean13623.551
Median Absolute Deviation (MAD)0
Skewness2.5099817
Sum667554
Variance1.2067011 × 109
MonotonicityNot monotonic
2023-12-12T18:51:17.486768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
2275 1
 
2.0%
122129 1
 
2.0%
135983 1
 
2.0%
104098 1
 
2.0%
91565 1
 
2.0%
89844 1
 
2.0%
69043 1
 
2.0%
35263 1
 
2.0%
17354 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
2275 1
 
2.0%
17354 1
 
2.0%
35263 1
 
2.0%
69043 1
 
2.0%
89844 1
 
2.0%
91565 1
 
2.0%
104098 1
 
2.0%
122129 1
 
2.0%
135983 1
 
2.0%
ValueCountFrequency (%)
135983 1
 
2.0%
122129 1
 
2.0%
104098 1
 
2.0%
91565 1
 
2.0%
89844 1
 
2.0%
69043 1
 
2.0%
35263 1
 
2.0%
17354 1
 
2.0%
2275 1
 
2.0%
0 40
81.6%

1983
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13668.02
Minimum0
Maximum136086
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:17.594584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96532.4
Maximum136086
Range136086
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34190.154
Coefficient of variation (CV)2.5014708
Kurtosis4.6719675
Mean13668.02
Median Absolute Deviation (MAD)0
Skewness2.4279575
Sum669733
Variance1.1689666 × 109
MonotonicityNot monotonic
2023-12-12T18:51:17.742056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
1819 1
 
2.0%
97104 1
 
2.0%
136086 1
 
2.0%
109321 1
 
2.0%
91587 1
 
2.0%
95675 1
 
2.0%
75611 1
 
2.0%
39851 1
 
2.0%
22679 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
1819 1
 
2.0%
22679 1
 
2.0%
39851 1
 
2.0%
75611 1
 
2.0%
91587 1
 
2.0%
95675 1
 
2.0%
97104 1
 
2.0%
109321 1
 
2.0%
136086 1
 
2.0%
ValueCountFrequency (%)
136086 1
 
2.0%
109321 1
 
2.0%
97104 1
 
2.0%
95675 1
 
2.0%
91587 1
 
2.0%
75611 1
 
2.0%
39851 1
 
2.0%
22679 1
 
2.0%
1819 1
 
2.0%
0 40
81.6%

1984
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13924.102
Minimum0
Maximum139201
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:17.848455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96677.4
Maximum139201
Range139201
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34547.983
Coefficient of variation (CV)2.4811641
Kurtosis4.7714556
Mean13924.102
Median Absolute Deviation (MAD)0
Skewness2.423261
Sum682281
Variance1.1935631 × 109
MonotonicityNot monotonic
2023-12-12T18:51:17.950027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
945 1
 
2.0%
73881 1
 
2.0%
139201 1
 
2.0%
113998 1
 
2.0%
99461 1
 
2.0%
92502 1
 
2.0%
85716 1
 
2.0%
49037 1
 
2.0%
27540 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
945 1
 
2.0%
27540 1
 
2.0%
49037 1
 
2.0%
73881 1
 
2.0%
85716 1
 
2.0%
92502 1
 
2.0%
99461 1
 
2.0%
113998 1
 
2.0%
139201 1
 
2.0%
ValueCountFrequency (%)
139201 1
 
2.0%
113998 1
 
2.0%
99461 1
 
2.0%
92502 1
 
2.0%
85716 1
 
2.0%
73881 1
 
2.0%
49037 1
 
2.0%
27540 1
 
2.0%
945 1
 
2.0%
0 40
81.6%

1985
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14223.49
Minimum0
Maximum142737
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:18.054713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96884.2
Maximum142737
Range142737
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35403.145
Coefficient of variation (CV)2.4890618
Kurtosis4.7320024
Mean14223.49
Median Absolute Deviation (MAD)0
Skewness2.4227574
Sum696951
Variance1.2533827 × 109
MonotonicityNot monotonic
2023-12-12T18:51:18.174970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
1518 1
 
2.0%
87817 1
 
2.0%
142737 1
 
2.0%
115778 1
 
2.0%
99773 1
 
2.0%
92551 1
 
2.0%
84979 1
 
2.0%
47381 1
 
2.0%
24417 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
1518 1
 
2.0%
24417 1
 
2.0%
47381 1
 
2.0%
84979 1
 
2.0%
87817 1
 
2.0%
92551 1
 
2.0%
99773 1
 
2.0%
115778 1
 
2.0%
142737 1
 
2.0%
ValueCountFrequency (%)
142737 1
 
2.0%
115778 1
 
2.0%
99773 1
 
2.0%
92551 1
 
2.0%
87817 1
 
2.0%
84979 1
 
2.0%
47381 1
 
2.0%
24417 1
 
2.0%
1518 1
 
2.0%
0 40
81.6%

1986
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14625.082
Minimum0
Maximum139714
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:18.305465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100089.2
Maximum139714
Range139714
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36316.08
Coefficient of variation (CV)2.4831369
Kurtosis4.9796254
Mean14625.082
Median Absolute Deviation (MAD)0
Skewness2.4538306
Sum716629
Variance1.3188577 × 109
MonotonicityNot monotonic
2023-12-12T18:51:18.423396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
544 1
 
2.0%
57014 1
 
2.0%
139714 1
 
2.0%
135437 1
 
2.0%
105238 1
 
2.0%
92366 1
 
2.0%
88106 1
 
2.0%
64598 1
 
2.0%
33612 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
544 1
 
2.0%
33612 1
 
2.0%
57014 1
 
2.0%
64598 1
 
2.0%
88106 1
 
2.0%
92366 1
 
2.0%
105238 1
 
2.0%
135437 1
 
2.0%
139714 1
 
2.0%
ValueCountFrequency (%)
139714 1
 
2.0%
135437 1
 
2.0%
105238 1
 
2.0%
92366 1
 
2.0%
88106 1
 
2.0%
64598 1
 
2.0%
57014 1
 
2.0%
33612 1
 
2.0%
544 1
 
2.0%
0 40
81.6%

1987
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15054.857
Minimum0
Maximum143057
Zeros40
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:18.544672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile102613.2
Maximum143057
Range143057
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37372.511
Coefficient of variation (CV)2.4824221
Kurtosis5.0709941
Mean15054.857
Median Absolute Deviation (MAD)0
Skewness2.4667024
Sum737688
Variance1.3967046 × 109
MonotonicityNot monotonic
2023-12-12T18:51:18.681741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
81.6%
949 1
 
2.0%
51029 1
 
2.0%
141205 1
 
2.0%
143057 1
 
2.0%
109926 1
 
2.0%
90929 1
 
2.0%
91644 1
 
2.0%
69528 1
 
2.0%
39421 1
 
2.0%
ValueCountFrequency (%)
0 40
81.6%
949 1
 
2.0%
39421 1
 
2.0%
51029 1
 
2.0%
69528 1
 
2.0%
90929 1
 
2.0%
91644 1
 
2.0%
109926 1
 
2.0%
141205 1
 
2.0%
143057 1
 
2.0%
ValueCountFrequency (%)
143057 1
 
2.0%
141205 1
 
2.0%
109926 1
 
2.0%
91644 1
 
2.0%
90929 1
 
2.0%
69528 1
 
2.0%
51029 1
 
2.0%
39421 1
 
2.0%
949 1
 
2.0%
0 40
81.6%

1988
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15655.571
Minimum0
Maximum150768
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:18.812094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile109023.4
Maximum150768
Range150768
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38604.752
Coefficient of variation (CV)2.4658795
Kurtosis5.1925199
Mean15655.571
Median Absolute Deviation (MAD)0
Skewness2.4936722
Sum767123
Variance1.4903269 × 109
MonotonicityNot monotonic
2023-12-12T18:51:18.936492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
796 1
 
2.0%
49359 1
 
2.0%
141605 1
 
2.0%
150768 1
 
2.0%
120137 1
 
2.0%
92353 1
 
2.0%
92184 1
 
2.0%
75169 1
 
2.0%
32718 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
796 1
 
2.0%
12034 1
 
2.0%
32718 1
 
2.0%
49359 1
 
2.0%
75169 1
 
2.0%
92184 1
 
2.0%
92353 1
 
2.0%
120137 1
 
2.0%
141605 1
 
2.0%
ValueCountFrequency (%)
150768 1
2.0%
141605 1
2.0%
120137 1
2.0%
92353 1
2.0%
92184 1
2.0%
75169 1
2.0%
49359 1
2.0%
32718 1
2.0%
12034 1
2.0%
796 1
2.0%

1989
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16532.02
Minimum0
Maximum159944
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:19.099002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile114767.8
Maximum159944
Range159944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40522.754
Coefficient of variation (CV)2.4511676
Kurtosis5.162987
Mean16532.02
Median Absolute Deviation (MAD)0
Skewness2.4799384
Sum810069
Variance1.6420936 × 109
MonotonicityNot monotonic
2023-12-12T18:51:19.250833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
673 1
 
2.0%
52717 1
 
2.0%
148019 1
 
2.0%
159944 1
 
2.0%
122311 1
 
2.0%
103453 1
 
2.0%
90485 1
 
2.0%
79540 1
 
2.0%
39955 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
673 1
 
2.0%
12972 1
 
2.0%
39955 1
 
2.0%
52717 1
 
2.0%
79540 1
 
2.0%
90485 1
 
2.0%
103453 1
 
2.0%
122311 1
 
2.0%
148019 1
 
2.0%
ValueCountFrequency (%)
159944 1
2.0%
148019 1
2.0%
122311 1
2.0%
103453 1
2.0%
90485 1
2.0%
79540 1
2.0%
52717 1
2.0%
39955 1
2.0%
12972 1
2.0%
673 1
2.0%

1990
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17209.429
Minimum0
Maximum166259
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:19.671121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile124103.6
Maximum166259
Range166259
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42062.079
Coefficient of variation (CV)2.4441299
Kurtosis5.087555
Mean17209.429
Median Absolute Deviation (MAD)0
Skewness2.4680577
Sum843262
Variance1.7692185 × 109
MonotonicityNot monotonic
2023-12-12T18:51:19.795311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
504 1
 
2.0%
53969 1
 
2.0%
148470 1
 
2.0%
166259 1
 
2.0%
134052 1
 
2.0%
109181 1
 
2.0%
89868 1
 
2.0%
80575 1
 
2.0%
46837 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
504 1
 
2.0%
13547 1
 
2.0%
46837 1
 
2.0%
53969 1
 
2.0%
80575 1
 
2.0%
89868 1
 
2.0%
109181 1
 
2.0%
134052 1
 
2.0%
148470 1
 
2.0%
ValueCountFrequency (%)
166259 1
2.0%
148470 1
2.0%
134052 1
2.0%
109181 1
2.0%
89868 1
2.0%
80575 1
2.0%
53969 1
2.0%
46837 1
2.0%
13547 1
2.0%
504 1
2.0%

1991
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18054.041
Minimum0
Maximum173126
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:19.937709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile130923
Maximum173126
Range173126
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43823.777
Coefficient of variation (CV)2.4273667
Kurtosis5.0038288
Mean18054.041
Median Absolute Deviation (MAD)0
Skewness2.4460258
Sum884648
Variance1.9205234 × 109
MonotonicityNot monotonic
2023-12-12T18:51:20.056668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
565 1
 
2.0%
65074 1
 
2.0%
151372 1
 
2.0%
173126 1
 
2.0%
145293 1
 
2.0%
109368 1
 
2.0%
90962 1
 
2.0%
81883 1
 
2.0%
52743 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
565 1
 
2.0%
14262 1
 
2.0%
52743 1
 
2.0%
65074 1
 
2.0%
81883 1
 
2.0%
90962 1
 
2.0%
109368 1
 
2.0%
145293 1
 
2.0%
151372 1
 
2.0%
ValueCountFrequency (%)
173126 1
2.0%
151372 1
2.0%
145293 1
2.0%
109368 1
2.0%
90962 1
2.0%
81883 1
2.0%
65074 1
2.0%
52743 1
2.0%
14262 1
2.0%
565 1
2.0%

1992
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18818.327
Minimum0
Maximum180927
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:20.167887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile138279.6
Maximum180927
Range180927
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45588.846
Coefficient of variation (CV)2.4225771
Kurtosis5.0206326
Mean18818.327
Median Absolute Deviation (MAD)0
Skewness2.4468384
Sum922098
Variance2.0783429 × 109
MonotonicityNot monotonic
2023-12-12T18:51:20.279210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
390 1
 
2.0%
61285 1
 
2.0%
153670 1
 
2.0%
180927 1
 
2.0%
154007 1
 
2.0%
115194 1
 
2.0%
91951 1
 
2.0%
87411 1
 
2.0%
60305 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
390 1
 
2.0%
16958 1
 
2.0%
60305 1
 
2.0%
61285 1
 
2.0%
87411 1
 
2.0%
91951 1
 
2.0%
115194 1
 
2.0%
153670 1
 
2.0%
154007 1
 
2.0%
ValueCountFrequency (%)
180927 1
2.0%
154007 1
2.0%
153670 1
2.0%
115194 1
2.0%
91951 1
2.0%
87411 1
2.0%
61285 1
2.0%
60305 1
2.0%
16958 1
2.0%
390 1
2.0%

1993
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19177.02
Minimum0
Maximum180486
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:20.400318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile142608
Maximum180486
Range180486
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46508.878
Coefficient of variation (CV)2.4252401
Kurtosis4.9997129
Mean19177.02
Median Absolute Deviation (MAD)0
Skewness2.4490721
Sum939674
Variance2.1630757 × 109
MonotonicityNot monotonic
2023-12-12T18:51:20.532422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
417 1
 
2.0%
59518 1
 
2.0%
160417 1
 
2.0%
180486 1
 
2.0%
160174 1
 
2.0%
116259 1
 
2.0%
95263 1
 
2.0%
86026 1
 
2.0%
63571 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
417 1
 
2.0%
17543 1
 
2.0%
59518 1
 
2.0%
63571 1
 
2.0%
86026 1
 
2.0%
95263 1
 
2.0%
116259 1
 
2.0%
160174 1
 
2.0%
160417 1
 
2.0%
ValueCountFrequency (%)
180486 1
2.0%
160417 1
2.0%
160174 1
2.0%
116259 1
2.0%
95263 1
2.0%
86026 1
2.0%
63571 1
2.0%
59518 1
2.0%
17543 1
2.0%
417 1
2.0%

1994
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19350.02
Minimum0
Maximum182162
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:20.657009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile143785.6
Maximum182162
Range182162
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47075.983
Coefficient of variation (CV)2.4328648
Kurtosis5.0476243
Mean19350.02
Median Absolute Deviation (MAD)0
Skewness2.4642785
Sum948151
Variance2.2161482 × 109
MonotonicityNot monotonic
2023-12-12T18:51:20.787395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
461 1
 
2.0%
49239 1
 
2.0%
158418 1
 
2.0%
182162 1
 
2.0%
165684 1
 
2.0%
121837 1
 
2.0%
99291 1
 
2.0%
84215 1
 
2.0%
65790 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
461 1
 
2.0%
21054 1
 
2.0%
49239 1
 
2.0%
65790 1
 
2.0%
84215 1
 
2.0%
99291 1
 
2.0%
121837 1
 
2.0%
158418 1
 
2.0%
165684 1
 
2.0%
ValueCountFrequency (%)
182162 1
2.0%
165684 1
2.0%
158418 1
2.0%
121837 1
2.0%
99291 1
2.0%
84215 1
2.0%
65790 1
2.0%
49239 1
2.0%
21054 1
2.0%
461 1
2.0%

1995
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19548.612
Minimum0
Maximum181102
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:20.899795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile147118.4
Maximum181102
Range181102
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47700.54
Coefficient of variation (CV)2.4400985
Kurtosis4.9697728
Mean19548.612
Median Absolute Deviation (MAD)0
Skewness2.4636407
Sum957882
Variance2.2753415 × 109
MonotonicityNot monotonic
2023-12-12T18:51:21.002552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
378 1
 
2.0%
42912 1
 
2.0%
157346 1
 
2.0%
181102 1
 
2.0%
170154 1
 
2.0%
131777 1
 
2.0%
103885 1
 
2.0%
82303 1
 
2.0%
63846 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
378 1
 
2.0%
24179 1
 
2.0%
42912 1
 
2.0%
63846 1
 
2.0%
82303 1
 
2.0%
103885 1
 
2.0%
131777 1
 
2.0%
157346 1
 
2.0%
170154 1
 
2.0%
ValueCountFrequency (%)
181102 1
2.0%
170154 1
2.0%
157346 1
2.0%
131777 1
2.0%
103885 1
2.0%
82303 1
2.0%
63846 1
2.0%
42912 1
2.0%
24179 1
2.0%
378 1
2.0%

1996
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19822.51
Minimum0
Maximum179377
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:21.096399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150778.2
Maximum179377
Range179377
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48500.756
Coefficient of variation (CV)2.4467515
Kurtosis4.9041545
Mean19822.51
Median Absolute Deviation (MAD)0
Skewness2.4615668
Sum971303
Variance2.3523233 × 109
MonotonicityNot monotonic
2023-12-12T18:51:21.212607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
254 1
 
2.0%
36746 1
 
2.0%
156111 1
 
2.0%
179377 1
 
2.0%
176283 1
 
2.0%
142779 1
 
2.0%
104388 1
 
2.0%
83265 1
 
2.0%
65226 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
254 1
 
2.0%
26874 1
 
2.0%
36746 1
 
2.0%
65226 1
 
2.0%
83265 1
 
2.0%
104388 1
 
2.0%
142779 1
 
2.0%
156111 1
 
2.0%
176283 1
 
2.0%
ValueCountFrequency (%)
179377 1
2.0%
176283 1
2.0%
156111 1
2.0%
142779 1
2.0%
104388 1
2.0%
83265 1
2.0%
65226 1
2.0%
36746 1
2.0%
26874 1
2.0%
254 1
2.0%

1997
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20035.898
Minimum0
Maximum180919
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:21.339317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150491
Maximum180919
Range180919
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49107.865
Coefficient of variation (CV)2.450994
Kurtosis4.8304444
Mean20035.898
Median Absolute Deviation (MAD)0
Skewness2.4524947
Sum981759
Variance2.4115824 × 109
MonotonicityNot monotonic
2023-12-12T18:51:21.443587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
171 1
 
2.0%
32849 1
 
2.0%
151409 1
 
2.0%
179093 1
 
2.0%
180919 1
 
2.0%
149114 1
 
2.0%
109247 1
 
2.0%
83938 1
 
2.0%
68567 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
171 1
 
2.0%
26452 1
 
2.0%
32849 1
 
2.0%
68567 1
 
2.0%
83938 1
 
2.0%
109247 1
 
2.0%
149114 1
 
2.0%
151409 1
 
2.0%
179093 1
 
2.0%
ValueCountFrequency (%)
180919 1
2.0%
179093 1
2.0%
151409 1
2.0%
149114 1
2.0%
109247 1
2.0%
83938 1
2.0%
68567 1
2.0%
32849 1
2.0%
26452 1
2.0%
171 1
2.0%

1998
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19431.714
Minimum0
Maximum184771
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:21.592522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile147838.8
Maximum184771
Range184771
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48785.308
Coefficient of variation (CV)2.5106024
Kurtosis5.3301016
Mean19431.714
Median Absolute Deviation (MAD)0
Skewness2.5425028
Sum952154
Variance2.3800063 × 109
MonotonicityNot monotonic
2023-12-12T18:51:21.710452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
31 1
 
2.0%
23918 1
 
2.0%
137067 1
 
2.0%
184771 1
 
2.0%
180936 1
 
2.0%
155020 1
 
2.0%
108788 1
 
2.0%
84300 1
 
2.0%
55135 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
31 1
 
2.0%
22188 1
 
2.0%
23918 1
 
2.0%
55135 1
 
2.0%
84300 1
 
2.0%
108788 1
 
2.0%
137067 1
 
2.0%
155020 1
 
2.0%
180936 1
 
2.0%
ValueCountFrequency (%)
184771 1
2.0%
180936 1
2.0%
155020 1
2.0%
137067 1
2.0%
108788 1
2.0%
84300 1
2.0%
55135 1
2.0%
23918 1
2.0%
22188 1
2.0%
31 1
2.0%

1999
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18650.837
Minimum0
Maximum183743
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:21.816064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile145838.2
Maximum183743
Range183743
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48409.256
Coefficient of variation (CV)2.5955541
Kurtosis5.7045138
Mean18650.837
Median Absolute Deviation (MAD)0
Skewness2.6184933
Sum913891
Variance2.343456 × 109
MonotonicityNot monotonic
2023-12-12T18:51:21.936249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
6 1
 
2.0%
19361 1
 
2.0%
126820 1
 
2.0%
183743 1
 
2.0%
181968 1
 
2.0%
158517 1
 
2.0%
111554 1
 
2.0%
83054 1
 
2.0%
40786 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
6 1
 
2.0%
8082 1
 
2.0%
19361 1
 
2.0%
40786 1
 
2.0%
83054 1
 
2.0%
111554 1
 
2.0%
126820 1
 
2.0%
158517 1
 
2.0%
181968 1
 
2.0%
ValueCountFrequency (%)
183743 1
2.0%
181968 1
2.0%
158517 1
2.0%
126820 1
2.0%
111554 1
2.0%
83054 1
2.0%
40786 1
2.0%
19361 1
2.0%
8082 1
2.0%
6 1
2.0%

2000
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18554.184
Minimum0
Maximum183318
Zeros39
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:22.042378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile144776.2
Maximum183318
Range183318
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48382.101
Coefficient of variation (CV)2.6076114
Kurtosis5.6495778
Mean18554.184
Median Absolute Deviation (MAD)0
Skewness2.6140566
Sum909155
Variance2.3408277 × 109
MonotonicityNot monotonic
2023-12-12T18:51:22.137690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 39
79.6%
3 1
 
2.0%
19921 1
 
2.0%
119956 1
 
2.0%
183318 1
 
2.0%
179547 1
 
2.0%
161323 1
 
2.0%
118400 1
 
2.0%
84634 1
 
2.0%
36974 1
 
2.0%
ValueCountFrequency (%)
0 39
79.6%
3 1
 
2.0%
5079 1
 
2.0%
19921 1
 
2.0%
36974 1
 
2.0%
84634 1
 
2.0%
118400 1
 
2.0%
119956 1
 
2.0%
161323 1
 
2.0%
179547 1
 
2.0%
ValueCountFrequency (%)
183318 1
2.0%
179547 1
2.0%
161323 1
2.0%
119956 1
2.0%
118400 1
2.0%
84634 1
2.0%
36974 1
2.0%
19921 1
2.0%
5079 1
2.0%
3 1
2.0%

2001
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18636.571
Minimum0
Maximum39514
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:22.286468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104.6
Q14776
median17540
Q332385
95-th percentile37017.6
Maximum39514
Range39514
Interquartile range (IQR)27609

Descriptive statistics

Standard deviation14046.288
Coefficient of variation (CV)0.75369485
Kurtosis-1.5697549
Mean18636.571
Median Absolute Deviation (MAD)14730
Skewness-0.025176413
Sum913192
Variance1.972982 × 108
MonotonicityNot monotonic
2023-12-12T18:51:22.462761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
16042 1
 
2.0%
31359 1
 
2.0%
29372 1
 
2.0%
29584 1
 
2.0%
24216 1
 
2.0%
21416 1
 
2.0%
23410 1
 
2.0%
17144 1
 
2.0%
17784 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
22 1
2.0%
75 1
2.0%
149 1
2.0%
180 1
2.0%
248 1
2.0%
266 1
2.0%
462 1
2.0%
748 1
2.0%
1972 1
2.0%
ValueCountFrequency (%)
39514 1
2.0%
37814 1
2.0%
37038 1
2.0%
36987 1
2.0%
36115 1
2.0%
35971 1
2.0%
35793 1
2.0%
35740 1
2.0%
35487 1
2.0%
34851 1
2.0%

2002
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18996.633
Minimum0
Maximum39607
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:22.639405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile81.8
Q14514
median17663
Q332215
95-th percentile36928.2
Maximum39607
Range39607
Interquartile range (IQR)27701

Descriptive statistics

Standard deviation14057.235
Coefficient of variation (CV)0.73998561
Kurtosis-1.5576783
Mean18996.633
Median Absolute Deviation (MAD)14230
Skewness-0.064773473
Sum930835
Variance1.9760585 × 108
MonotonicityNot monotonic
2023-12-12T18:51:22.851709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
16731 1
 
2.0%
30056 1
 
2.0%
31146 1
 
2.0%
29178 1
 
2.0%
29380 1
 
2.0%
24055 1
 
2.0%
21308 1
 
2.0%
23341 1
 
2.0%
17046 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
7 1
2.0%
47 1
2.0%
134 1
2.0%
157 1
2.0%
263 1
2.0%
287 1
2.0%
349 1
2.0%
986 1
2.0%
1711 1
2.0%
ValueCountFrequency (%)
39607 1
2.0%
38019 1
2.0%
36967 1
2.0%
36870 1
2.0%
36646 1
2.0%
36156 1
2.0%
36151 1
2.0%
35827 1
2.0%
35797 1
2.0%
35292 1
2.0%

2003
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19339.102
Minimum0
Maximum39740
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:23.035991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.2
Q14837
median19397
Q333301
95-th percentile37133
Maximum39740
Range39740
Interquartile range (IQR)28464

Descriptive statistics

Standard deviation14107.205
Coefficient of variation (CV)0.72946535
Kurtosis-1.5460717
Mean19339.102
Median Absolute Deviation (MAD)14185
Skewness-0.10309466
Sum947616
Variance1.9901323 × 108
MonotonicityNot monotonic
2023-12-12T18:51:23.192904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
17085 1
 
2.0%
32053 1
 
2.0%
29878 1
 
2.0%
30870 1
 
2.0%
28926 1
 
2.0%
29152 1
 
2.0%
23825 1
 
2.0%
21138 1
 
2.0%
23162 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
6 1
2.0%
21 1
2.0%
64 1
2.0%
145 1
2.0%
231 1
2.0%
277 1
2.0%
307 1
2.0%
1127 1
2.0%
1645 1
2.0%
ValueCountFrequency (%)
39740 1
2.0%
38218 1
2.0%
37155 1
2.0%
37100 1
2.0%
36926 1
2.0%
36751 1
2.0%
36245 1
2.0%
36048 1
2.0%
35846 1
2.0%
35109 1
2.0%

2004
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19685.571
Minimum0
Maximum40200
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:23.354376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.8
Q14804
median21241
Q333563
95-th percentile38000.4
Maximum40200
Range40200
Interquartile range (IQR)28759

Descriptive statistics

Standard deviation14152.699
Coefficient of variation (CV)0.7189377
Kurtosis-1.5247664
Mean19685.571
Median Absolute Deviation (MAD)13687
Skewness-0.14001304
Sum964593
Variance2.002989 × 108
MonotonicityNot monotonic
2023-12-12T18:51:23.509780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
36088 1
 
2.0%
31427 1
 
2.0%
29197 1
 
2.0%
30116 1
 
2.0%
28109 1
 
2.0%
28013 1
 
2.0%
23063 1
 
2.0%
20513 1
 
2.0%
22382 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
18 1
2.0%
50 1
2.0%
141 1
2.0%
181 1
2.0%
295 1
2.0%
323 1
2.0%
1545 1
2.0%
1604 1
2.0%
3371 1
2.0%
ValueCountFrequency (%)
40200 1
2.0%
38713 1
2.0%
38126 1
2.0%
37812 1
2.0%
36449 1
2.0%
36416 1
2.0%
36262 1
2.0%
36088 1
2.0%
35676 1
2.0%
34928 1
2.0%

2005
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20129.367
Minimum0
Maximum40328
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:23.662680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q15704
median22103
Q334299
95-th percentile38287.8
Maximum40328
Range40328
Interquartile range (IQR)28595

Descriptive statistics

Standard deviation14200.215
Coefficient of variation (CV)0.70544768
Kurtosis-1.5048365
Mean20129.367
Median Absolute Deviation (MAD)13440
Skewness-0.20670446
Sum986339
Variance2.0164612 × 108
MonotonicityNot monotonic
2023-12-12T18:51:23.836737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
36321 1
 
2.0%
34299 1
 
2.0%
31251 1
 
2.0%
28984 1
 
2.0%
29880 1
 
2.0%
27913 1
 
2.0%
27760 1
 
2.0%
22858 1
 
2.0%
20329 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
6 1
2.0%
41 1
2.0%
116 1
2.0%
179 1
2.0%
315 1
2.0%
347 1
2.0%
1244 1
2.0%
1262 1
2.0%
3625 1
2.0%
ValueCountFrequency (%)
40328 1
2.0%
38873 1
2.0%
38467 1
2.0%
38019 1
2.0%
36416 1
2.0%
36321 1
2.0%
36228 1
2.0%
35925 1
2.0%
35595 1
2.0%
35543 1
2.0%

2006
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20594.796
Minimum0
Maximum40665
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:23.975856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.8
Q15248
median24068
Q334200
95-th percentile38862
Maximum40665
Range40665
Interquartile range (IQR)28952

Descriptive statistics

Standard deviation14403.537
Coefficient of variation (CV)0.69937751
Kurtosis-1.5119141
Mean20594.796
Median Absolute Deviation (MAD)12173
Skewness-0.26171386
Sum1009145
Variance2.0746188 × 108
MonotonicityNot monotonic
2023-12-12T18:51:24.150406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
36241 2
 
4.1%
35557 1
 
2.0%
35821 1
 
2.0%
34140 1
 
2.0%
31011 1
 
2.0%
28760 1
 
2.0%
29621 1
 
2.0%
27659 1
 
2.0%
27450 1
 
2.0%
22606 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 1
2.0%
4 1
2.0%
8 1
2.0%
25 1
2.0%
113 1
2.0%
186 1
2.0%
283 1
2.0%
333 1
2.0%
1122 1
2.0%
1332 1
2.0%
ValueCountFrequency (%)
40665 1
2.0%
39303 1
2.0%
39060 1
2.0%
38565 1
2.0%
36628 1
2.0%
36253 1
2.0%
36241 2
4.1%
35821 1
2.0%
35800 1
2.0%
35557 1
2.0%

2007
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20852.469
Minimum0
Maximum40825
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:24.289836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.2
Q14662
median26245
Q334828
95-th percentile39293
Maximum40825
Range40825
Interquartile range (IQR)30166

Descriptive statistics

Standard deviation14614.574
Coefficient of variation (CV)0.70085579
Kurtosis-1.5313051
Mean20852.469
Median Absolute Deviation (MAD)10505
Skewness-0.29312203
Sum1021771
Variance2.1358577 × 108
MonotonicityNot monotonic
2023-12-12T18:51:24.442058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
19488 1
 
2.0%
33001 1
 
2.0%
36090 1
 
2.0%
35616 1
 
2.0%
33790 1
 
2.0%
30701 1
 
2.0%
28418 1
 
2.0%
29283 1
 
2.0%
27271 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4 1
2.0%
14 1
2.0%
32 1
2.0%
98 1
2.0%
165 1
2.0%
272 1
2.0%
294 1
2.0%
806 1
2.0%
1026 1
2.0%
ValueCountFrequency (%)
40825 1
2.0%
39588 1
2.0%
39543 1
2.0%
38918 1
2.0%
36762 1
2.0%
36750 1
2.0%
36480 1
2.0%
36244 1
2.0%
36090 1
2.0%
35616 1
2.0%

2008
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21025.633
Minimum0
Maximum40813
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:24.604408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.2
Q14357
median26620
Q334787
95-th percentile39345.4
Maximum40813
Range40813
Interquartile range (IQR)30430

Descriptive statistics

Standard deviation14770.169
Coefficient of variation (CV)0.70248392
Kurtosis-1.561689
Mean21025.633
Median Absolute Deviation (MAD)10129
Skewness-0.31688305
Sum1030256
Variance2.1815789 × 108
MonotonicityNot monotonic
2023-12-12T18:51:24.748871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
36194 1
 
2.0%
32873 1
 
2.0%
35821 1
 
2.0%
35181 1
 
2.0%
33347 1
 
2.0%
30250 1
 
2.0%
27907 1
 
2.0%
28742 1
 
2.0%
26620 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
13 1
2.0%
31 1
2.0%
95 1
2.0%
157 1
2.0%
282 1
2.0%
329 1
2.0%
803 1
2.0%
1394 1
2.0%
3725 1
2.0%
ValueCountFrequency (%)
40813 1
2.0%
39750 1
2.0%
39569 1
2.0%
39010 1
2.0%
37046 1
2.0%
36823 1
2.0%
36749 1
2.0%
36194 1
2.0%
35821 1
2.0%
35483 1
2.0%

2009
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21385.653
Minimum0
Maximum40712
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:24.899313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.2
Q14875
median27551
Q334716
95-th percentile39341.6
Maximum40712
Range40712
Interquartile range (IQR)29841

Descriptive statistics

Standard deviation14848.841
Coefficient of variation (CV)0.69433657
Kurtosis-1.5469083
Mean21385.653
Median Absolute Deviation (MAD)9750
Skewness-0.36351312
Sum1047897
Variance2.2048808 × 108
MonotonicityNot monotonic
2023-12-12T18:51:25.357059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
34716 1
 
2.0%
35142 1
 
2.0%
32663 1
 
2.0%
35586 1
 
2.0%
34901 1
 
2.0%
33049 1
 
2.0%
29927 1
 
2.0%
27551 1
 
2.0%
28351 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
3 1
2.0%
21 1
2.0%
72 1
2.0%
171 1
2.0%
324 1
2.0%
401 1
2.0%
649 1
2.0%
1411 1
2.0%
3152 1
2.0%
ValueCountFrequency (%)
40712 1
2.0%
39978 1
2.0%
39538 1
2.0%
39047 1
2.0%
37301 1
2.0%
37198 1
2.0%
36635 1
2.0%
36101 1
2.0%
35822 1
2.0%
35586 1
2.0%

2010
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21477.694
Minimum0
Maximum40394
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:25.527606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.6
Q15023
median27130
Q334486
95-th percentile39115
Maximum40394
Range40394
Interquartile range (IQR)29463

Descriptive statistics

Standard deviation14909.055
Coefficient of variation (CV)0.6941646
Kurtosis-1.5636456
Mean21477.694
Median Absolute Deviation (MAD)10164
Skewness-0.37646791
Sum1052407
Variance2.2227991 × 108
MonotonicityNot monotonic
2023-12-12T18:51:25.673241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
25707 1
 
2.0%
34447 1
 
2.0%
35857 1
 
2.0%
34873 1
 
2.0%
32354 1
 
2.0%
35182 1
 
2.0%
34486 1
 
2.0%
32623 1
 
2.0%
29510 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
2 1
2.0%
7 1
2.0%
11 1
2.0%
71 1
2.0%
182 1
2.0%
384 1
2.0%
428 1
2.0%
563 1
2.0%
1481 1
2.0%
ValueCountFrequency (%)
40394 1
2.0%
39856 1
2.0%
39251 1
2.0%
38911 1
2.0%
37313 1
2.0%
37294 1
2.0%
36350 1
2.0%
36018 1
2.0%
35857 1
2.0%
35182 1
2.0%

2011
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21590.98
Minimum0
Maximum40124
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:25.840366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q15162
median27301
Q334498
95-th percentile38911.8
Maximum40124
Range40124
Interquartile range (IQR)29336

Descriptive statistics

Standard deviation14872.565
Coefficient of variation (CV)0.68883233
Kurtosis-1.5461883
Mean21590.98
Median Absolute Deviation (MAD)10042
Skewness-0.39422164
Sum1057958
Variance2.2119319 × 108
MonotonicityNot monotonic
2023-12-12T18:51:26.080795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
15 2
 
4.1%
0 1
 
2.0%
25071 1
 
2.0%
34227 1
 
2.0%
35666 1
 
2.0%
34585 1
 
2.0%
32081 1
 
2.0%
34827 1
 
2.0%
34108 1
 
2.0%
32183 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 1
2.0%
5 1
2.0%
15 2
4.1%
45 1
2.0%
236 1
2.0%
396 1
2.0%
409 1
2.0%
501 1
2.0%
1633 1
2.0%
2561 1
2.0%
ValueCountFrequency (%)
40124 1
2.0%
39764 1
2.0%
39003 1
2.0%
38775 1
2.0%
37432 1
2.0%
37343 1
2.0%
36182 1
2.0%
36093 1
2.0%
35988 1
2.0%
35666 1
2.0%

2012
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21723.918
Minimum0
Maximum39762
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:26.287628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.8
Q15580
median26504
Q334253
95-th percentile38632.4
Maximum39762
Range39762
Interquartile range (IQR)28673

Descriptive statistics

Standard deviation14839.82
Coefficient of variation (CV)0.68310975
Kurtosis-1.5341851
Mean21723.918
Median Absolute Deviation (MAD)10244
Skewness-0.40898865
Sum1064472
Variance2.2022027 × 108
MonotonicityNot monotonic
2023-12-12T18:51:26.515860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
26102 1
 
2.0%
39762 1
 
2.0%
35817 1
 
2.0%
33953 1
 
2.0%
35320 1
 
2.0%
34253 1
 
2.0%
31641 1
 
2.0%
34323 1
 
2.0%
33616 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
31 1
2.0%
38 1
2.0%
60 1
2.0%
71 1
2.0%
234 1
2.0%
374 1
2.0%
412 1
2.0%
652 1
2.0%
1503 1
2.0%
ValueCountFrequency (%)
39762 1
2.0%
39557 1
2.0%
38690 1
2.0%
38546 1
2.0%
37513 1
2.0%
37342 1
2.0%
36748 1
2.0%
36459 1
2.0%
35845 1
2.0%
35817 1
2.0%

2013
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21890
Minimum0
Maximum39561
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:26.709473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile97.4
Q15676
median25854
Q334325
95-th percentile38429
Maximum39561
Range39561
Interquartile range (IQR)28649

Descriptive statistics

Standard deviation14715.841
Coefficient of variation (CV)0.6722632
Kurtosis-1.4948065
Mean21890
Median Absolute Deviation (MAD)10777
Skewness-0.42692011
Sum1072610
Variance2.1655599 × 108
MonotonicityNot monotonic
2023-12-12T18:51:26.883370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
27917 1
 
2.0%
38487 1
 
2.0%
39561 1
 
2.0%
35637 1
 
2.0%
33736 1
 
2.0%
35048 1
 
2.0%
33978 1
 
2.0%
31310 1
 
2.0%
33896 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
37 1
2.0%
95 1
2.0%
101 1
2.0%
221 1
2.0%
296 1
2.0%
377 1
2.0%
394 1
2.0%
795 1
2.0%
1547 1
2.0%
ValueCountFrequency (%)
39561 1
2.0%
39354 1
2.0%
38487 1
2.0%
38342 1
2.0%
37530 1
2.0%
37278 1
2.0%
37230 1
2.0%
36631 1
2.0%
36544 1
2.0%
35637 1
2.0%

2014
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22064.224
Minimum1
Maximum39419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:27.087596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile234.8
Q15725
median26712
Q334738
95-th percentile38307
Maximum39419
Range39418
Interquartile range (IQR)29013

Descriptive statistics

Standard deviation14682.162
Coefficient of variation (CV)0.66542843
Kurtosis-1.4679531
Mean22064.224
Median Absolute Deviation (MAD)10393
Skewness-0.42717935
Sum1081147
Variance2.1556589 × 108
MonotonicityNot monotonic
2023-12-12T18:51:27.283406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
30097 1
 
2.0%
38235 1
 
2.0%
38355 1
 
2.0%
39419 1
 
2.0%
35416 1
 
2.0%
33493 1
 
2.0%
34738 1
 
2.0%
33595 1
 
2.0%
30876 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
50 1
2.0%
218 1
2.0%
260 1
2.0%
299 1
2.0%
355 1
2.0%
368 1
2.0%
377 1
2.0%
931 1
2.0%
1904 1
2.0%
ValueCountFrequency (%)
39419 1
2.0%
39290 1
2.0%
38355 1
2.0%
38235 1
2.0%
38181 1
2.0%
37752 1
2.0%
37583 1
2.0%
37261 1
2.0%
36887 1
2.0%
36662 1
2.0%

2015
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22306.898
Minimum1
Maximum39293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:27.512161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile299.8
Q15876
median26031
Q335167
95-th percentile38904.8
Maximum39293
Range39292
Interquartile range (IQR)29291

Descriptive statistics

Standard deviation14671.049
Coefficient of variation (CV)0.65769111
Kurtosis-1.4274766
Mean22306.898
Median Absolute Deviation (MAD)11205
Skewness-0.44414179
Sum1093038
Variance2.1523966 × 108
MonotonicityNot monotonic
2023-12-12T18:51:27.811955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
31407 1
 
2.0%
39293 1
 
2.0%
38158 1
 
2.0%
38285 1
 
2.0%
39250 1
 
2.0%
35167 1
 
2.0%
33259 1
 
2.0%
34437 1
 
2.0%
33156 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
52 1
2.0%
275 1
2.0%
337 1
2.0%
343 1
2.0%
378 1
2.0%
514 1
2.0%
592 1
2.0%
1071 1
2.0%
1638 1
2.0%
ValueCountFrequency (%)
39293 1
2.0%
39250 1
2.0%
38968 1
2.0%
38810 1
2.0%
38285 1
2.0%
38158 1
2.0%
37972 1
2.0%
37647 1
2.0%
37236 1
2.0%
37052 1
2.0%

2016
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22611.673
Minimum1
Maximum39622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:28.120873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile346.4
Q14802
median27602
Q334947
95-th percentile39087.6
Maximum39622
Range39621
Interquartile range (IQR)30145

Descriptive statistics

Standard deviation14650.721
Coefficient of variation (CV)0.6479273
Kurtosis-1.3716161
Mean22611.673
Median Absolute Deviation (MAD)9516
Skewness-0.48813633
Sum1107972
Variance2.1464361 × 108
MonotonicityNot monotonic
2023-12-12T18:51:28.388480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
31881 1
 
2.0%
37091 1
 
2.0%
39118 1
 
2.0%
38002 1
 
2.0%
38130 1
 
2.0%
39042 1
 
2.0%
34947 1
 
2.0%
32972 1
 
2.0%
34023 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
62 1
2.0%
294 1
2.0%
425 1
2.0%
432 1
2.0%
486 1
2.0%
570 1
2.0%
670 1
2.0%
1280 1
2.0%
1813 1
2.0%
ValueCountFrequency (%)
39622 1
2.0%
39611 1
2.0%
39118 1
2.0%
39042 1
2.0%
38993 1
2.0%
38130 1
2.0%
38002 1
2.0%
37549 1
2.0%
37118 1
2.0%
37091 1
2.0%

2017
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22866.49
Minimum0
Maximum40284
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:28.642570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile374.8
Q15321
median28005
Q334726
95-th percentile39451
Maximum40284
Range40284
Interquartile range (IQR)29405

Descriptive statistics

Standard deviation14683.478
Coefficient of variation (CV)0.64213958
Kurtosis-1.3292285
Mean22866.49
Median Absolute Deviation (MAD)9536
Skewness-0.52680291
Sum1120458
Variance2.1560453 × 108
MonotonicityNot monotonic
2023-12-12T18:51:28.895819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
29235 1
 
2.0%
37531 1
 
2.0%
37026 1
 
2.0%
39025 1
 
2.0%
37885 1
 
2.0%
38007 1
 
2.0%
38837 1
 
2.0%
34726 1
 
2.0%
32681 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
53 1
2.0%
360 1
2.0%
397 1
2.0%
523 1
2.0%
535 1
2.0%
645 1
2.0%
730 1
2.0%
1075 1
2.0%
1843 1
2.0%
ValueCountFrequency (%)
40284 1
2.0%
40083 1
2.0%
39735 1
2.0%
39025 1
2.0%
38837 1
2.0%
38007 1
2.0%
37885 1
2.0%
37850 1
2.0%
37531 1
2.0%
37158 1
2.0%

2018
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23685.429
Minimum0
Maximum41674
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:29.138173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile431.4
Q15677
median28727
Q335197
95-th percentile40588.8
Maximum41674
Range41674
Interquartile range (IQR)29520

Descriptive statistics

Standard deviation14896.108
Coefficient of variation (CV)0.62891442
Kurtosis-1.2560261
Mean23685.429
Median Absolute Deviation (MAD)9000
Skewness-0.59394312
Sum1160586
Variance2.2189402 × 108
MonotonicityNot monotonic
2023-12-12T18:51:29.353323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
31718 1
 
2.0%
37727 1
 
2.0%
38087 1
 
2.0%
37485 1
 
2.0%
39446 1
 
2.0%
38249 1
 
2.0%
38243 1
 
2.0%
39002 1
 
2.0%
34782 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
38 1
2.0%
349 1
2.0%
555 1
2.0%
707 1
2.0%
745 1
2.0%
814 1
2.0%
983 1
2.0%
1098 1
2.0%
1930 1
2.0%
ValueCountFrequency (%)
41674 1
2.0%
41273 1
2.0%
41216 1
2.0%
39648 1
2.0%
39446 1
2.0%
39002 1
2.0%
38249 1
2.0%
38243 1
2.0%
38087 1
2.0%
37727 1
2.0%

2019
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24388.796
Minimum0
Maximum42489
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:29.517950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile451.8
Q15941
median30820
Q335577
95-th percentile41464.4
Maximum42489
Range42489
Interquartile range (IQR)29636

Descriptive statistics

Standard deviation15091.049
Coefficient of variation (CV)0.61876975
Kurtosis-1.202858
Mean24388.796
Median Absolute Deviation (MAD)7455
Skewness-0.66314156
Sum1195051
Variance2.2773977 × 108
MonotonicityNot monotonic
2023-12-12T18:51:29.651337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
32711 1
 
2.0%
34749 1
 
2.0%
38078 1
 
2.0%
38361 1
 
2.0%
37663 1
 
2.0%
39538 1
 
2.0%
38275 1
 
2.0%
38161 1
 
2.0%
38864 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
35 1
2.0%
405 1
2.0%
522 1
2.0%
762 1
2.0%
817 1
2.0%
908 1
2.0%
917 1
2.0%
1449 1
2.0%
2043 1
2.0%
ValueCountFrequency (%)
42489 1
2.0%
42292 1
2.0%
41880 1
2.0%
40841 1
2.0%
39538 1
2.0%
38864 1
2.0%
38361 1
2.0%
38275 1
2.0%
38161 1
2.0%
38078 1
2.0%

2020
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24924.939
Minimum0
Maximum43136
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:29.790048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile521.2
Q17098
median32609
Q336361
95-th percentile42060
Maximum43136
Range43136
Interquartile range (IQR)29263

Descriptive statistics

Standard deviation15299.214
Coefficient of variation (CV)0.61381149
Kurtosis-1.1965684
Mean24924.939
Median Absolute Deviation (MAD)5978
Skewness-0.6915075
Sum1221322
Variance2.3406594 × 108
MonotonicityNot monotonic
2023-12-12T18:51:29.935738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
31651 1
 
2.0%
35802 1
 
2.0%
35029 1
 
2.0%
38253 1
 
2.0%
38426 1
 
2.0%
37693 1
 
2.0%
39459 1
 
2.0%
38139 1
 
2.0%
37982 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
38 1
2.0%
446 1
2.0%
634 1
2.0%
715 1
2.0%
885 1
2.0%
949 1
2.0%
1046 1
2.0%
1429 1
2.0%
2074 1
2.0%
ValueCountFrequency (%)
43136 1
2.0%
43063 1
2.0%
42290 1
2.0%
41715 1
2.0%
39459 1
2.0%
38587 1
2.0%
38426 1
2.0%
38253 1
2.0%
38139 1
2.0%
37982 1
2.0%

2021
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25743.286
Minimum0
Maximum43870
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:30.076996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile559.4
Q110443
median33658
Q337750
95-th percentile42687.6
Maximum43870
Range43870
Interquartile range (IQR)27307

Descriptive statistics

Standard deviation15495.458
Coefficient of variation (CV)0.60192231
Kurtosis-1.1505933
Mean25743.286
Median Absolute Deviation (MAD)5660
Skewness-0.72593187
Sum1261421
Variance2.4010922 × 108
MonotonicityNot monotonic
2023-12-12T18:51:30.201814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
33434 1
 
2.0%
38001 1
 
2.0%
36035 1
 
2.0%
35214 1
 
2.0%
38324 1
 
2.0%
38435 1
 
2.0%
37651 1
 
2.0%
39318 1
 
2.0%
37999 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
33 1
2.0%
471 1
2.0%
692 1
2.0%
978 1
2.0%
1000 1
2.0%
1026 1
2.0%
1104 1
2.0%
1544 1
2.0%
2248 1
2.0%
ValueCountFrequency (%)
43870 1
2.0%
43581 1
2.0%
42798 1
2.0%
42522 1
2.0%
39959 1
2.0%
39318 1
2.0%
38435 1
2.0%
38324 1
2.0%
38138 1
2.0%
38131 1
2.0%

2022
Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26142.735
Minimum0
Maximum44190
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:30.342104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile577.6
Q19855
median34587
Q337760
95-th percentile43060.6
Maximum44190
Range44190
Interquartile range (IQR)27905

Descriptive statistics

Standard deviation15839.123
Coefficient of variation (CV)0.60587095
Kurtosis-1.1881451
Mean26142.735
Median Absolute Deviation (MAD)5986
Skewness-0.71019818
Sum1280994
Variance2.5087783 × 108
MonotonicityNot monotonic
2023-12-12T18:51:30.491249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
37340 1
 
2.0%
36367 1
 
2.0%
38190 1
 
2.0%
36196 1
 
2.0%
35247 1
 
2.0%
38289 1
 
2.0%
38458 1
 
2.0%
37481 1
 
2.0%
39132 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
15 1
2.0%
528 1
2.0%
652 1
2.0%
899 1
2.0%
1005 1
2.0%
1079 1
2.0%
1301 1
2.0%
1645 1
2.0%
2288 1
2.0%
ValueCountFrequency (%)
44190 1
2.0%
43953 1
2.0%
43063 1
2.0%
43057 1
2.0%
42465 1
2.0%
41606 1
2.0%
39132 1
2.0%
38458 1
2.0%
38368 1
2.0%
38359 1
2.0%


Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13413.694
Minimum0
Maximum23643
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:31.012123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile301.6
Q13259
median17376
Q319752
95-th percentile21800.6
Maximum23643
Range23643
Interquartile range (IQR)16493

Descriptive statistics

Standard deviation8179.4813
Coefficient of variation (CV)0.60978589
Kurtosis-1.2388806
Mean13413.694
Median Absolute Deviation (MAD)3159
Skewness-0.69808652
Sum657271
Variance66903914
MonotonicityNot monotonic
2023-12-12T18:51:31.202878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
23643 1
 
2.0%
17640 1
 
2.0%
18058 1
 
2.0%
17781 1
 
2.0%
17798 1
 
2.0%
20535 1
 
2.0%
21063 1
 
2.0%
21072 1
 
2.0%
22179 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
3 1
2.0%
268 1
2.0%
352 1
2.0%
542 1
2.0%
806 1
2.0%
897 1
2.0%
932 1
2.0%
1177 1
2.0%
1544 1
2.0%
ValueCountFrequency (%)
23643 1
2.0%
22179 1
2.0%
21921 1
2.0%
21620 1
2.0%
21072 1
2.0%
21063 1
2.0%
20640 1
2.0%
20535 1
2.0%
20277 1
2.0%
20252 1
2.0%


Real number (ℝ)

UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12729.041
Minimum0
Maximum24127
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:51:31.346290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile114.4
Q14411
median16409
Q318727
95-th percentile23131
Maximum24127
Range24127
Interquartile range (IQR)14316

Descriptive statistics

Standard deviation8195.5944
Coefficient of variation (CV)0.64385012
Kurtosis-1.30141
Mean12729.041
Median Absolute Deviation (MAD)5471
Skewness-0.46370462
Sum623723
Variance67167768
MonotonicityNot monotonic
2023-12-12T18:51:31.507104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 1
 
2.0%
13697 1
 
2.0%
18727 1
 
2.0%
20132 1
 
2.0%
18415 1
 
2.0%
17449 1
 
2.0%
17754 1
 
2.0%
17395 1
 
2.0%
16409 1
 
2.0%
16953 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
12 1
2.0%
108 1
2.0%
124 1
2.0%
147 1
2.0%
260 1
2.0%
300 1
2.0%
357 1
2.0%
744 1
2.0%
839 1
2.0%
ValueCountFrequency (%)
24127 1
2.0%
23701 1
2.0%
23305 1
2.0%
22870 1
2.0%
22188 1
2.0%
21968 1
2.0%
20513 1
2.0%
20379 1
2.0%
20132 1
2.0%
19699 1
2.0%

Sample

구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
018세 미만2275181994515185449497966735045653904174613782541713163000000000000011100000000
118세 이상00000000000000000002276004400253837505262533835383315312
219세000000000000000000075472118681413371571296299337432397349405446471528268260
320세000000000000000000018013464504125323121111531101377378425535555522634692652352300
421세000000000000000000046234923118111611398957271456095218514486523707762715978899542357
522세000000000000000000019721711164515451244112280680364956350165279593110711280107510981449142915441645806839
623세0000000000000000000561567186466628357045248398237943152268625612948362143424543452041464054437646105037464715503097
724세12212997104738818781757014510294935952717539696507461285595184923942912367463284923918193611992194288688103061065610371102518518760169295575516255805676710486088571829890159511949910443985531006755
825세0000000000000000000126161280411946150291517815465143411266910930984582448703861498491135513351134171438316008159791670816769583110938
926세000000000000000000016194161291652016484198462038919867189661641013878125251194411790132301434315831183572014321840227572369423207919314014
구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
3956세000000000000000000010135127881522015203156781582814733189161767220063241662409225599238622529927892295003017727474294563046729481197299752
4057세00000000000000000006382676579529005108769632977084491769016943192672297722876232552196124241267912832928650258932769928601189109691
4158세000000000000000000053565774564368558112834185818093754210958157141815821431200002090320636227372535026455266252401925441172138228
4259세1735422679275402441733612394213271839955468375274360305635716579063846652266856755135407863697447764514483748045985681267416441667664158921941616165167281636318582184692055122483235602386521467146576810
4360세00000012034129721354714262169581754321054241792687426452221888082507928103902357437843918427746624357487550235196637658875725587648025321567759417098126121236879574411
4461세0000000000000000000216726923638337136253414366737253991437044033963534244924110444940714546430548025582579332592534
4562세0000000000000000000748986112716041262133210261394141114811633150315471904163818131843193020432074224822881544744
4663세0000000000000000000266287307323347283294329401428396412377355592670730983908104610261079932147
4764세000000000000000000024826327729531533327228232438440937439436834357064581491788510001005897108
4865세 이상0000000000000000000149157145141179186165157171182236234221260275294360745817949110413011177124