Overview

Dataset statistics

Number of variables44
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory398.1 B

Variable types

Text1
Numeric43

Dataset

Description공무원의 근무기간(1년미만~40년이상 등)별 공무원연금 가입자 수입니다. 1. 2000년까지의 재직년수 통계는 5년미만, 5년∼10년미만, 10년∼15년미만, 15년∼20년미만, 20년∼25년미만, 25년∼30년미만, 30년∼33년미만, 33년이상의 재직년수 구분에 의한 통계임. 2. 2001년도 이후 재직년수 33년은 만33년(396개월) 재직자이며, 33년 초과는 33년1월(397개월)∼33년11월(407개월)까지의 재직자임
URLhttps://www.data.go.kr/data/15053036/fileData.do

Alerts

구분 has unique valuesUnique
2001 has unique valuesUnique
2002 has unique valuesUnique
2003 has unique valuesUnique
2004 has unique valuesUnique
2005 has unique valuesUnique
2006 has unique valuesUnique
2007 has unique valuesUnique
2008 has unique valuesUnique
2009 has unique valuesUnique
2010 has unique valuesUnique
2011 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
2022계 has unique valuesUnique
2022남 has unique valuesUnique
2022여 has unique valuesUnique
1982 has 35 (83.3%) zerosZeros
1983 has 35 (83.3%) zerosZeros
1984 has 35 (83.3%) zerosZeros
1985 has 35 (83.3%) zerosZeros
1986 has 35 (83.3%) zerosZeros
1987 has 35 (83.3%) zerosZeros
1988 has 34 (81.0%) zerosZeros
1989 has 34 (81.0%) zerosZeros
1990 has 34 (81.0%) zerosZeros
1991 has 34 (81.0%) zerosZeros
1992 has 34 (81.0%) zerosZeros
1993 has 34 (81.0%) zerosZeros
1994 has 34 (81.0%) zerosZeros
1995 has 34 (81.0%) zerosZeros
1996 has 34 (81.0%) zerosZeros
1997 has 34 (81.0%) zerosZeros
1998 has 34 (81.0%) zerosZeros
1999 has 34 (81.0%) zerosZeros
2000 has 34 (81.0%) zerosZeros

Reproduction

Analysis started2023-12-11 23:44:19.721747
Analysis finished2023-12-11 23:44:20.004510
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-12T08:44:20.120982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters126
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row1년미만
2nd row1년이상
3rd row2년
4th row3년
5th row4년
ValueCountFrequency (%)
1년미만 1
 
2.4%
30년 1
 
2.4%
39년 1
 
2.4%
23년 1
 
2.4%
24년 1
 
2.4%
25년 1
 
2.4%
26년 1
 
2.4%
27년 1
 
2.4%
28년 1
 
2.4%
29년 1
 
2.4%
Other values (32) 32
76.2%
2023-12-12T08:44:20.392711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
33.3%
3 16
 
12.7%
1 15
 
11.9%
2 14
 
11.1%
4 5
 
4.0%
6 4
 
3.2%
0 4
 
3.2%
8 4
 
3.2%
7 4
 
3.2%
5 4
 
3.2%
Other values (7) 14
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74
58.7%
Other Letter 52
41.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16
21.6%
1 15
20.3%
2 14
18.9%
4 5
 
6.8%
6 4
 
5.4%
0 4
 
5.4%
8 4
 
5.4%
7 4
 
5.4%
5 4
 
5.4%
9 4
 
5.4%
Other Letter
ValueCountFrequency (%)
42
80.8%
3
 
5.8%
3
 
5.8%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 74
58.7%
Hangul 52
41.3%

Most frequent character per script

Common
ValueCountFrequency (%)
3 16
21.6%
1 15
20.3%
2 14
18.9%
4 5
 
6.8%
6 4
 
5.4%
0 4
 
5.4%
8 4
 
5.4%
7 4
 
5.4%
5 4
 
5.4%
9 4
 
5.4%
Hangul
ValueCountFrequency (%)
42
80.8%
3
 
5.8%
3
 
5.8%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
58.7%
Hangul 52
41.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
80.8%
3
 
5.8%
3
 
5.8%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%
ASCII
ValueCountFrequency (%)
3 16
21.6%
1 15
20.3%
2 14
18.9%
4 5
 
6.8%
6 4
 
5.4%
0 4
 
5.4%
8 4
 
5.4%
7 4
 
5.4%
5 4
 
5.4%
9 4
 
5.4%

1982
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15894.143
Minimum0
Maximum237296
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:20.481837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile121639.15
Maximum237296
Range237296
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46961.927
Coefficient of variation (CV)2.9546687
Kurtosis13.183132
Mean15894.143
Median Absolute Deviation (MAD)0
Skewness3.5443995
Sum667554
Variance2.2054226 × 109
MonotonicityNot monotonic
2023-12-12T08:44:20.558820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
237296 1
 
2.4%
144309 1
 
2.4%
123995 1
 
2.4%
76878 1
 
2.4%
39709 1
 
2.4%
24577 1
 
2.4%
20790 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
20790 1
 
2.4%
24577 1
 
2.4%
39709 1
 
2.4%
76878 1
 
2.4%
123995 1
 
2.4%
144309 1
 
2.4%
237296 1
 
2.4%
ValueCountFrequency (%)
237296 1
 
2.4%
144309 1
 
2.4%
123995 1
 
2.4%
76878 1
 
2.4%
39709 1
 
2.4%
24577 1
 
2.4%
20790 1
 
2.4%
0 35
83.3%

1983
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15946.024
Minimum0
Maximum216361
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:20.637962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile121619.2
Maximum216361
Range216361
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46790.223
Coefficient of variation (CV)2.9342878
Kurtosis10.910055
Mean15946.024
Median Absolute Deviation (MAD)0
Skewness3.3448614
Sum669733
Variance2.1893249 × 109
MonotonicityNot monotonic
2023-12-12T08:44:20.715210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
216361 1
 
2.4%
174833 1
 
2.4%
124197 1
 
2.4%
72641 1
 
2.4%
36777 1
 
2.4%
22461 1
 
2.4%
22463 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
22461 1
 
2.4%
22463 1
 
2.4%
36777 1
 
2.4%
72641 1
 
2.4%
124197 1
 
2.4%
174833 1
 
2.4%
216361 1
 
2.4%
ValueCountFrequency (%)
216361 1
 
2.4%
174833 1
 
2.4%
124197 1
 
2.4%
72641 1
 
2.4%
36777 1
 
2.4%
22463 1
 
2.4%
22461 1
 
2.4%
0 35
83.3%

1984
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16244.786
Minimum0
Maximum205354
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:20.790271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile115322.4
Maximum205354
Range205354
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45990.316
Coefficient of variation (CV)2.8310818
Kurtosis9.4906621
Mean16244.786
Median Absolute Deviation (MAD)0
Skewness3.1435247
Sum682281
Variance2.1151092 × 109
MonotonicityNot monotonic
2023-12-12T08:44:20.868447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
172523 1
 
2.4%
205354 1
 
2.4%
116471 1
 
2.4%
93499 1
 
2.4%
51006 1
 
2.4%
24575 1
 
2.4%
18853 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
18853 1
 
2.4%
24575 1
 
2.4%
51006 1
 
2.4%
93499 1
 
2.4%
116471 1
 
2.4%
172523 1
 
2.4%
205354 1
 
2.4%
ValueCountFrequency (%)
205354 1
 
2.4%
172523 1
 
2.4%
116471 1
 
2.4%
93499 1
 
2.4%
51006 1
 
2.4%
24575 1
 
2.4%
18853 1
 
2.4%
0 35
83.3%

1985
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16594.071
Minimum0
Maximum221280
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:20.943348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile112396.75
Maximum221280
Range221280
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46567.106
Coefficient of variation (CV)2.8062496
Kurtosis10.30044
Mean16594.071
Median Absolute Deviation (MAD)0
Skewness3.1965346
Sum696951
Variance2.1684954 × 109
MonotonicityNot monotonic
2023-12-12T08:44:21.233372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
152722 1
 
2.4%
221280 1
 
2.4%
112711 1
 
2.4%
106426 1
 
2.4%
53819 1
 
2.4%
27036 1
 
2.4%
22957 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
22957 1
 
2.4%
27036 1
 
2.4%
53819 1
 
2.4%
106426 1
 
2.4%
112711 1
 
2.4%
152722 1
 
2.4%
221280 1
 
2.4%
ValueCountFrequency (%)
221280 1
 
2.4%
152722 1
 
2.4%
112711 1
 
2.4%
106426 1
 
2.4%
53819 1
 
2.4%
27036 1
 
2.4%
22957 1
 
2.4%
0 35
83.3%

1986
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17062.595
Minimum0
Maximum224385
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:21.305401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile118393.65
Maximum224385
Range224385
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47293.761
Coefficient of variation (CV)2.77178
Kurtosis9.9648586
Mean17062.595
Median Absolute Deviation (MAD)0
Skewness3.1419546
Sum716629
Variance2.2366998 × 109
MonotonicityNot monotonic
2023-12-12T08:44:21.381329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
148543 1
 
2.4%
224385 1
 
2.4%
111205 1
 
2.4%
118772 1
 
2.4%
60003 1
 
2.4%
27840 1
 
2.4%
25881 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
25881 1
 
2.4%
27840 1
 
2.4%
60003 1
 
2.4%
111205 1
 
2.4%
118772 1
 
2.4%
148543 1
 
2.4%
224385 1
 
2.4%
ValueCountFrequency (%)
224385 1
 
2.4%
148543 1
 
2.4%
118772 1
 
2.4%
111205 1
 
2.4%
60003 1
 
2.4%
27840 1
 
2.4%
25881 1
 
2.4%
0 35
83.3%

1987
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17564
Minimum0
Maximum165468
Zeros35
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:21.455181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile142843.85
Maximum165468
Range165468
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44440.742
Coefficient of variation (CV)2.5302176
Kurtosis5.2565323
Mean17564
Median Absolute Deviation (MAD)0
Skewness2.5293294
Sum737688
Variance1.9749796 × 109
MonotonicityNot monotonic
2023-12-12T08:44:21.536123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 35
83.3%
154036 1
 
2.4%
165468 1
 
2.4%
144782 1
 
2.4%
106019 1
 
2.4%
84382 1
 
2.4%
46858 1
 
2.4%
36143 1
 
2.4%
ValueCountFrequency (%)
0 35
83.3%
36143 1
 
2.4%
46858 1
 
2.4%
84382 1
 
2.4%
106019 1
 
2.4%
144782 1
 
2.4%
154036 1
 
2.4%
165468 1
 
2.4%
ValueCountFrequency (%)
165468 1
 
2.4%
154036 1
 
2.4%
144782 1
 
2.4%
106019 1
 
2.4%
84382 1
 
2.4%
46858 1
 
2.4%
36143 1
 
2.4%
0 35
83.3%

1988
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18264.833
Minimum0
Maximum165603
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:21.615626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile149801.5
Maximum165603
Range165603
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45535.386
Coefficient of variation (CV)2.4930633
Kurtosis5.1163927
Mean18264.833
Median Absolute Deviation (MAD)0
Skewness2.5132357
Sum767123
Variance2.0734713 × 109
MonotonicityNot monotonic
2023-12-12T08:44:21.701453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
152007 1
 
2.4%
165603 1
 
2.4%
157999 1
 
2.4%
107897 1
 
2.4%
91836 1
 
2.4%
51039 1
 
2.4%
17290 1
 
2.4%
23452 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
17290 1
 
2.4%
23452 1
 
2.4%
51039 1
 
2.4%
91836 1
 
2.4%
107897 1
 
2.4%
152007 1
 
2.4%
157999 1
 
2.4%
165603 1
 
2.4%
ValueCountFrequency (%)
165603 1
 
2.4%
157999 1
 
2.4%
152007 1
 
2.4%
107897 1
 
2.4%
91836 1
 
2.4%
51039 1
 
2.4%
23452 1
 
2.4%
17290 1
 
2.4%
0 34
81.0%

1989
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19287.357
Minimum0
Maximum179751
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:21.799629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile154167.3
Maximum179751
Range179751
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47786.465
Coefficient of variation (CV)2.4776056
Kurtosis5.1713789
Mean19287.357
Median Absolute Deviation (MAD)0
Skewness2.5115458
Sum810069
Variance2.2835462 × 109
MonotonicityNot monotonic
2023-12-12T08:44:21.904286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
179751 1
 
2.4%
156366 1
 
2.4%
162517 1
 
2.4%
112392 1
 
2.4%
95142 1
 
2.4%
57557 1
 
2.4%
21396 1
 
2.4%
24948 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
21396 1
 
2.4%
24948 1
 
2.4%
57557 1
 
2.4%
95142 1
 
2.4%
112392 1
 
2.4%
156366 1
 
2.4%
162517 1
 
2.4%
179751 1
 
2.4%
ValueCountFrequency (%)
179751 1
 
2.4%
162517 1
 
2.4%
156366 1
 
2.4%
112392 1
 
2.4%
95142 1
 
2.4%
57557 1
 
2.4%
24948 1
 
2.4%
21396 1
 
2.4%
0 34
81.0%

1990
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20077.667
Minimum0
Maximum190998
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:21.987965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile154916.95
Maximum190998
Range190998
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49419.873
Coefficient of variation (CV)2.4614351
Kurtosis5.190227
Mean20077.667
Median Absolute Deviation (MAD)0
Skewness2.5026493
Sum843262
Variance2.4423238 × 109
MonotonicityNot monotonic
2023-12-12T08:44:22.076401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
190998 1
 
2.4%
157020 1
 
2.4%
164998 1
 
2.4%
114959 1
 
2.4%
101192 1
 
2.4%
62617 1
 
2.4%
24177 1
 
2.4%
27301 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
24177 1
 
2.4%
27301 1
 
2.4%
62617 1
 
2.4%
101192 1
 
2.4%
114959 1
 
2.4%
157020 1
 
2.4%
164998 1
 
2.4%
190998 1
 
2.4%
ValueCountFrequency (%)
190998 1
 
2.4%
164998 1
 
2.4%
157020 1
 
2.4%
114959 1
 
2.4%
101192 1
 
2.4%
62617 1
 
2.4%
27301 1
 
2.4%
24177 1
 
2.4%
0 34
81.0%

1991
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21063.048
Minimum0
Maximum192142
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:22.175598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163122.8
Maximum192142
Range192142
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51250.477
Coefficient of variation (CV)2.4331938
Kurtosis4.8371529
Mean21063.048
Median Absolute Deviation (MAD)0
Skewness2.4454379
Sum884648
Variance2.6266114 × 109
MonotonicityNot monotonic
2023-12-12T08:44:22.277901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
192142 1
 
2.4%
171826 1
 
2.4%
165223 1
 
2.4%
123219 1
 
2.4%
102643 1
 
2.4%
71901 1
 
2.4%
24940 1
 
2.4%
32754 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
24940 1
 
2.4%
32754 1
 
2.4%
71901 1
 
2.4%
102643 1
 
2.4%
123219 1
 
2.4%
165223 1
 
2.4%
171826 1
 
2.4%
192142 1
 
2.4%
ValueCountFrequency (%)
192142 1
 
2.4%
171826 1
 
2.4%
165223 1
 
2.4%
123219 1
 
2.4%
102643 1
 
2.4%
71901 1
 
2.4%
32754 1
 
2.4%
24940 1
 
2.4%
0 34
81.0%

1992
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21954.714
Minimum0
Maximum200197
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:22.372556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile152284.55
Maximum200197
Range200197
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53289.719
Coefficient of variation (CV)2.4272563
Kurtosis4.8917037
Mean21954.714
Median Absolute Deviation (MAD)0
Skewness2.4472537
Sum922098
Variance2.8397942 × 109
MonotonicityNot monotonic
2023-12-12T08:44:22.467199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
200197 1
 
2.4%
188510 1
 
2.4%
152952 1
 
2.4%
139603 1
 
2.4%
99901 1
 
2.4%
78966 1
 
2.4%
26409 1
 
2.4%
35560 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
26409 1
 
2.4%
35560 1
 
2.4%
78966 1
 
2.4%
99901 1
 
2.4%
139603 1
 
2.4%
152952 1
 
2.4%
188510 1
 
2.4%
200197 1
 
2.4%
ValueCountFrequency (%)
200197 1
 
2.4%
188510 1
 
2.4%
152952 1
 
2.4%
139603 1
 
2.4%
99901 1
 
2.4%
78966 1
 
2.4%
35560 1
 
2.4%
26409 1
 
2.4%
0 34
81.0%

1993
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22373.19
Minimum0
Maximum200488
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:22.562896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile147160.05
Maximum200488
Range200488
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54171.894
Coefficient of variation (CV)2.421286
Kurtosis4.9636858
Mean22373.19
Median Absolute Deviation (MAD)0
Skewness2.4524536
Sum939674
Variance2.9345941 × 109
MonotonicityNot monotonic
2023-12-12T08:44:22.656025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
198920 1
 
2.4%
200488 1
 
2.4%
147329 1
 
2.4%
143950 1
 
2.4%
101155 1
 
2.4%
81823 1
 
2.4%
28320 1
 
2.4%
37689 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
28320 1
 
2.4%
37689 1
 
2.4%
81823 1
 
2.4%
101155 1
 
2.4%
143950 1
 
2.4%
147329 1
 
2.4%
198920 1
 
2.4%
200488 1
 
2.4%
ValueCountFrequency (%)
200488 1
 
2.4%
198920 1
 
2.4%
147329 1
 
2.4%
143950 1
 
2.4%
101155 1
 
2.4%
81823 1
 
2.4%
37689 1
 
2.4%
28320 1
 
2.4%
0 34
81.0%

1994
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22575.024
Minimum0
Maximum215983
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:22.746657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile150796.75
Maximum215983
Range215983
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54246.755
Coefficient of variation (CV)2.4029545
Kurtosis5.0138382
Mean22575.024
Median Absolute Deviation (MAD)0
Skewness2.4424137
Sum948151
Variance2.9427104 × 109
MonotonicityNot monotonic
2023-12-12T08:44:22.838697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
178312 1
 
2.4%
215983 1
 
2.4%
140874 1
 
2.4%
151319 1
 
2.4%
105490 1
 
2.4%
84568 1
 
2.4%
32240 1
 
2.4%
39365 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
32240 1
 
2.4%
39365 1
 
2.4%
84568 1
 
2.4%
105490 1
 
2.4%
140874 1
 
2.4%
151319 1
 
2.4%
178312 1
 
2.4%
215983 1
 
2.4%
ValueCountFrequency (%)
215983 1
 
2.4%
178312 1
 
2.4%
151319 1
 
2.4%
140874 1
 
2.4%
105490 1
 
2.4%
84568 1
 
2.4%
39365 1
 
2.4%
32240 1
 
2.4%
0 34
81.0%

1995
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22806.714
Minimum0
Maximum224942
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:22.951014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile154485.85
Maximum224942
Range224942
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54450.595
Coefficient of variation (CV)2.3874809
Kurtosis5.2023338
Mean22806.714
Median Absolute Deviation (MAD)0
Skewness2.4477
Sum957882
Variance2.9648673 × 109
MonotonicityNot monotonic
2023-12-12T08:44:23.039548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
161680 1
 
2.4%
224942 1
 
2.4%
141487 1
 
2.4%
155170 1
 
2.4%
106129 1
 
2.4%
91050 1
 
2.4%
35600 1
 
2.4%
41824 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
35600 1
 
2.4%
41824 1
 
2.4%
91050 1
 
2.4%
106129 1
 
2.4%
141487 1
 
2.4%
155170 1
 
2.4%
161680 1
 
2.4%
224942 1
 
2.4%
ValueCountFrequency (%)
224942 1
 
2.4%
161680 1
 
2.4%
155170 1
 
2.4%
141487 1
 
2.4%
106129 1
 
2.4%
91050 1
 
2.4%
41824 1
 
2.4%
35600 1
 
2.4%
0 34
81.0%

1996
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23126.262
Minimum0
Maximum225042
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:23.127295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile152664.75
Maximum225042
Range225042
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54731.922
Coefficient of variation (CV)2.3666567
Kurtosis4.9675855
Mean23126.262
Median Absolute Deviation (MAD)0
Skewness2.4060549
Sum971303
Variance2.9955833 × 109
MonotonicityNot monotonic
2023-12-12T08:44:23.228829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
150627 1
 
2.4%
225042 1
 
2.4%
154580 1
 
2.4%
152772 1
 
2.4%
113830 1
 
2.4%
90613 1
 
2.4%
37895 1
 
2.4%
45944 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
37895 1
 
2.4%
45944 1
 
2.4%
90613 1
 
2.4%
113830 1
 
2.4%
150627 1
 
2.4%
152772 1
 
2.4%
154580 1
 
2.4%
225042 1
 
2.4%
ValueCountFrequency (%)
225042 1
 
2.4%
154580 1
 
2.4%
152772 1
 
2.4%
150627 1
 
2.4%
113830 1
 
2.4%
90613 1
 
2.4%
45944 1
 
2.4%
37895 1
 
2.4%
0 34
81.0%

1997
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23375.214
Minimum0
Maximum220219
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:23.320498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile142680.65
Maximum220219
Range220219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54922.953
Coefficient of variation (CV)2.3496235
Kurtosis4.6158117
Mean23375.214
Median Absolute Deviation (MAD)0
Skewness2.356726
Sum981759
Variance3.0165308 × 109
MonotonicityNot monotonic
2023-12-12T08:44:23.420982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
142698 1
 
2.4%
220219 1
 
2.4%
170919 1
 
2.4%
142351 1
 
2.4%
128579 1
 
2.4%
88335 1
 
2.4%
40822 1
 
2.4%
47836 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
40822 1
 
2.4%
47836 1
 
2.4%
88335 1
 
2.4%
128579 1
 
2.4%
142351 1
 
2.4%
142698 1
 
2.4%
170919 1
 
2.4%
220219 1
 
2.4%
ValueCountFrequency (%)
220219 1
 
2.4%
170919 1
 
2.4%
142698 1
 
2.4%
142351 1
 
2.4%
128579 1
 
2.4%
88335 1
 
2.4%
47836 1
 
2.4%
40822 1
 
2.4%
0 34
81.0%

1998
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22670.333
Minimum0
Maximum206100
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:23.509386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile136314.6
Maximum206100
Range206100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53717.952
Coefficient of variation (CV)2.3695263
Kurtosis4.6373689
Mean22670.333
Median Absolute Deviation (MAD)0
Skewness2.3783735
Sum952154
Variance2.8856184 × 109
MonotonicityNot monotonic
2023-12-12T08:44:23.604727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
128259 1
 
2.4%
206100 1
 
2.4%
187523 1
 
2.4%
136627 1
 
2.4%
130379 1
 
2.4%
83308 1
 
2.4%
39251 1
 
2.4%
40707 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
39251 1
 
2.4%
40707 1
 
2.4%
83308 1
 
2.4%
128259 1
 
2.4%
130379 1
 
2.4%
136627 1
 
2.4%
187523 1
 
2.4%
206100 1
 
2.4%
ValueCountFrequency (%)
206100 1
 
2.4%
187523 1
 
2.4%
136627 1
 
2.4%
130379 1
 
2.4%
128259 1
 
2.4%
83308 1
 
2.4%
40707 1
 
2.4%
39251 1
 
2.4%
0 34
81.0%

1999
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21759.31
Minimum0
Maximum200476
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:23.716217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile130637.25
Maximum200476
Range200476
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52694.696
Coefficient of variation (CV)2.4217081
Kurtosis4.9309239
Mean21759.31
Median Absolute Deviation (MAD)0
Skewness2.441098
Sum913891
Variance2.7767309 × 109
MonotonicityNot monotonic
2023-12-12T08:44:23.822343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
124241 1
 
2.4%
190162 1
 
2.4%
200476 1
 
2.4%
129578 1
 
2.4%
130693 1
 
2.4%
79165 1
 
2.4%
33706 1
 
2.4%
25870 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
25870 1
 
2.4%
33706 1
 
2.4%
79165 1
 
2.4%
124241 1
 
2.4%
129578 1
 
2.4%
130693 1
 
2.4%
190162 1
 
2.4%
200476 1
 
2.4%
ValueCountFrequency (%)
200476 1
 
2.4%
190162 1
 
2.4%
130693 1
 
2.4%
129578 1
 
2.4%
124241 1
 
2.4%
79165 1
 
2.4%
33706 1
 
2.4%
25870 1
 
2.4%
0 34
81.0%

2000
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21646.548
Minimum0
Maximum205326
Zeros34
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:23.932653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile130301.2
Maximum205326
Range205326
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52541.078
Coefficient of variation (CV)2.4272267
Kurtosis4.9856634
Mean21646.548
Median Absolute Deviation (MAD)0
Skewness2.4477262
Sum909155
Variance2.7605648 × 109
MonotonicityNot monotonic
2023-12-12T08:44:24.025072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 34
81.0%
130431 1
 
2.4%
182602 1
 
2.4%
205326 1
 
2.4%
127835 1
 
2.4%
127113 1
 
2.4%
78188 1
 
2.4%
34893 1
 
2.4%
22767 1
 
2.4%
ValueCountFrequency (%)
0 34
81.0%
22767 1
 
2.4%
34893 1
 
2.4%
78188 1
 
2.4%
127113 1
 
2.4%
127835 1
 
2.4%
130431 1
 
2.4%
182602 1
 
2.4%
205326 1
 
2.4%
ValueCountFrequency (%)
205326 1
 
2.4%
182602 1
 
2.4%
130431 1
 
2.4%
127835 1
 
2.4%
127113 1
 
2.4%
78188 1
 
2.4%
34893 1
 
2.4%
22767 1
 
2.4%
0 34
81.0%

2001
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21742.667
Minimum554
Maximum44257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:24.159502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum554
5-th percentile1578
Q111617.25
median23391.5
Q331799.75
95-th percentile41091.4
Maximum44257
Range43703
Interquartile range (IQR)20182.5

Descriptive statistics

Standard deviation12956.468
Coefficient of variation (CV)0.59590061
Kurtosis-0.98753962
Mean21742.667
Median Absolute Deviation (MAD)10115
Skewness-0.11225521
Sum913192
Variance1.6787007 × 108
MonotonicityNot monotonic
2023-12-12T08:44:24.307457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
20690 1
 
2.4%
10415 1
 
2.4%
27018 1
 
2.4%
19844 1
 
2.4%
19085 1
 
2.4%
17933 1
 
2.4%
15120 1
 
2.4%
11410 1
 
2.4%
12239 1
 
2.4%
13800 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
554 1
2.4%
875 1
2.4%
1553 1
2.4%
2053 1
2.4%
2164 1
2.4%
2459 1
2.4%
4113 1
2.4%
6401 1
2.4%
8179 1
2.4%
10415 1
2.4%
ValueCountFrequency (%)
44257 1
2.4%
43003 1
2.4%
41143 1
2.4%
40111 1
2.4%
39556 1
2.4%
38723 1
2.4%
35137 1
2.4%
34611 1
2.4%
34030 1
2.4%
32277 1
2.4%

2002
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22162.738
Minimum426
Maximum43930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:24.561450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum426
5-th percentile1689.25
Q112112.25
median24067
Q331552
95-th percentile40773.15
Maximum43930
Range43504
Interquartile range (IQR)19439.75

Descriptive statistics

Standard deviation12629.833
Coefficient of variation (CV)0.5698679
Kurtosis-0.92170061
Mean22162.738
Median Absolute Deviation (MAD)9530
Skewness-0.19114664
Sum930835
Variance1.5951268 × 108
MonotonicityNot monotonic
2023-12-12T08:44:24.789773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
27519 1
 
2.4%
13214 1
 
2.4%
24855 1
 
2.4%
26401 1
 
2.4%
19451 1
 
2.4%
18692 1
 
2.4%
17506 1
 
2.4%
14702 1
 
2.4%
10988 1
 
2.4%
11745 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
426 1
2.4%
1318 1
2.4%
1677 1
2.4%
1922 1
2.4%
2244 1
2.4%
3479 1
2.4%
5627 1
2.4%
7881 1
2.4%
9424 1
2.4%
10988 1
2.4%
ValueCountFrequency (%)
43930 1
2.4%
42630 1
2.4%
40825 1
2.4%
39788 1
2.4%
39253 1
2.4%
38431 1
2.4%
34722 1
2.4%
34345 1
2.4%
33762 1
2.4%
32025 1
2.4%

2003
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22562.286
Minimum894
Maximum43638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:25.002925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum894
5-th percentile1454.3
Q112042.25
median24064
Q331321
95-th percentile40493.5
Maximum43638
Range42744
Interquartile range (IQR)19278.75

Descriptive statistics

Standard deviation12343.524
Coefficient of variation (CV)0.54708658
Kurtosis-0.86757674
Mean22562.286
Median Absolute Deviation (MAD)8627
Skewness-0.26037605
Sum947616
Variance1.5236258 × 108
MonotonicityNot monotonic
2023-12-12T08:44:25.158025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
27336 1
 
2.4%
10964 1
 
2.4%
26975 1
 
2.4%
24443 1
 
2.4%
25672 1
 
2.4%
18984 1
 
2.4%
18156 1
 
2.4%
16927 1
 
2.4%
14080 1
 
2.4%
10374 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
894 1
2.4%
1342 1
2.4%
1400 1
2.4%
2486 1
2.4%
2825 1
2.4%
4750 1
2.4%
6730 1
2.4%
8984 1
2.4%
10374 1
2.4%
10964 1
2.4%
ValueCountFrequency (%)
43638 1
2.4%
42363 1
2.4%
40547 1
2.4%
39477 1
2.4%
38970 1
2.4%
38155 1
2.4%
34342 1
2.4%
34124 1
2.4%
33531 1
2.4%
31851 1
2.4%

2004
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22966.5
Minimum457
Maximum43396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:25.337939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457
5-th percentile2111.35
Q113573.25
median24620
Q332245.25
95-th percentile40264.8
Maximum43396
Range42939
Interquartile range (IQR)18672

Descriptive statistics

Standard deviation12357.139
Coefficient of variation (CV)0.5380506
Kurtosis-0.9126669
Mean22966.5
Median Absolute Deviation (MAD)8747.5
Skewness-0.32424091
Sum964593
Variance1.5269888 × 108
MonotonicityNot monotonic
2023-12-12T08:44:25.493138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
33447 1
 
2.4%
9237 1
 
2.4%
22701 1
 
2.4%
26044 1
 
2.4%
23241 1
 
2.4%
24290 1
 
2.4%
17981 1
 
2.4%
16989 1
 
2.4%
15221 1
 
2.4%
13024 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
457 1
2.4%
957 1
2.4%
2091 1
2.4%
2498 1
2.4%
3876 1
2.4%
5592 1
2.4%
7862 1
2.4%
8691 1
2.4%
9237 1
2.4%
10284 1
2.4%
ValueCountFrequency (%)
43396 1
2.4%
42136 1
2.4%
40316 1
2.4%
39292 1
2.4%
38749 1
2.4%
37971 1
2.4%
34046 1
2.4%
33910 1
2.4%
33447 1
2.4%
33288 1
2.4%

2005
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23484.262
Minimum449
Maximum43168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:25.670416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449
5-th percentile1946.2
Q115103.5
median25139
Q332583.75
95-th percentile39990.75
Maximum43168
Range42719
Interquartile range (IQR)17480.25

Descriptive statistics

Standard deviation12199.441
Coefficient of variation (CV)0.51947303
Kurtosis-0.87596793
Mean23484.262
Median Absolute Deviation (MAD)8196.5
Skewness-0.3929376
Sum986339
Variance1.4882635 × 108
MonotonicityNot monotonic
2023-12-12T08:44:25.840121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
30190 1
 
2.4%
12351 1
 
2.4%
21896 1
 
2.4%
22306 1
 
2.4%
25658 1
 
2.4%
22905 1
 
2.4%
23774 1
 
2.4%
17580 1
 
2.4%
16449 1
 
2.4%
14655 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
449 1
2.4%
1511 1
2.4%
1886 1
2.4%
3090 1
2.4%
4829 1
2.4%
7121 1
2.4%
8073 1
2.4%
8250 1
2.4%
9303 1
2.4%
12351 1
2.4%
ValueCountFrequency (%)
43168 1
2.4%
41781 1
2.4%
40041 1
2.4%
39036 1
2.4%
38434 1
2.4%
37705 1
2.4%
36485 1
2.4%
33710 1
2.4%
33651 1
2.4%
33020 1
2.4%

2006
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24027.262
Minimum967
Maximum42933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:25.988862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum967
5-th percentile2220.8
Q115866.25
median25065
Q332764.5
95-th percentile39852.55
Maximum42933
Range41966
Interquartile range (IQR)16898.25

Descriptive statistics

Standard deviation12272.128
Coefficient of variation (CV)0.5107585
Kurtosis-0.91080001
Mean24027.262
Median Absolute Deviation (MAD)8366
Skewness-0.42927997
Sum1009145
Variance1.5060513 × 108
MonotonicityNot monotonic
2023-12-12T08:44:26.126347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
31812 1
 
2.4%
13587 1
 
2.4%
20101 1
 
2.4%
21397 1
 
2.4%
21727 1
 
2.4%
25069 1
 
2.4%
22347 1
 
2.4%
22959 1
 
2.4%
16884 1
 
2.4%
15527 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
967 1
2.4%
1514 1
2.4%
2141 1
2.4%
3737 1
2.4%
6152 1
2.4%
6820 1
2.4%
7259 1
2.4%
7986 1
2.4%
10181 1
2.4%
13587 1
2.4%
ValueCountFrequency (%)
42933 1
2.4%
41466 1
2.4%
39905 1
2.4%
38856 1
2.4%
38201 1
2.4%
37968 1
2.4%
37565 1
2.4%
37189 1
2.4%
36507 1
2.4%
33616 1
2.4%

2007
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24327.881
Minimum1106
Maximum42666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:26.298851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1106
5-th percentile2705.15
Q116837.25
median25373
Q333260.5
95-th percentile39706
Maximum42666
Range41560
Interquartile range (IQR)16423.25

Descriptive statistics

Standard deviation12215.269
Coefficient of variation (CV)0.50210987
Kurtosis-0.87652608
Mean24327.881
Median Absolute Deviation (MAD)8678
Skewness-0.45586677
Sum1021771
Variance1.492128 × 108
MonotonicityNot monotonic
2023-12-12T08:44:26.439966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
27758 1
 
2.4%
14449 1
 
2.4%
21271 1
 
2.4%
19568 1
 
2.4%
20825 1
 
2.4%
21123 1
 
2.4%
24398 1
 
2.4%
21703 1
 
2.4%
21992 1
 
2.4%
15927 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1106 1
2.4%
1511 1
2.4%
2586 1
2.4%
4969 1
2.4%
5635 1
2.4%
6032 1
2.4%
6614 1
2.4%
9654 1
2.4%
11219 1
2.4%
14449 1
2.4%
ValueCountFrequency (%)
42666 1
2.4%
41188 1
2.4%
39729 1
2.4%
39269 1
2.4%
38836 1
2.4%
38666 1
2.4%
37482 1
2.4%
37412 1
2.4%
36842 1
2.4%
34679 1
2.4%

2008
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24529.905
Minimum1716
Maximum42382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:26.602313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1716
5-th percentile3606.4
Q119294.25
median26738
Q335055.5
95-th percentile39570.4
Maximum42382
Range40666
Interquartile range (IQR)15761.25

Descriptive statistics

Standard deviation12188.729
Coefficient of variation (CV)0.49689262
Kurtosis-0.88679212
Mean24529.905
Median Absolute Deviation (MAD)8328.5
Skewness-0.48577458
Sum1030256
Variance1.4856511 × 108
MonotonicityNot monotonic
2023-12-12T08:44:27.044817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
27801 1
 
2.4%
14712 1
 
2.4%
23199 1
 
2.4%
20748 1
 
2.4%
19033 1
 
2.4%
20078 1
 
2.4%
20376 1
 
2.4%
23478 1
 
2.4%
20855 1
 
2.4%
20624 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1716 1
2.4%
1914 1
2.4%
3569 1
2.4%
4317 1
2.4%
4653 1
2.4%
4874 1
2.4%
7679 1
2.4%
10396 1
2.4%
11097 1
2.4%
14712 1
2.4%
ValueCountFrequency (%)
42382 1
2.4%
39666 1
2.4%
39571 1
2.4%
39559 1
2.4%
38776 1
2.4%
38396 1
2.4%
37787 1
2.4%
37302 1
2.4%
37207 1
2.4%
36305 1
2.4%

2009
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24949.929
Minimum909
Maximum41190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:27.191754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum909
5-th percentile3566.05
Q119739.75
median26302.5
Q335310
95-th percentile39479.85
Maximum41190
Range40281
Interquartile range (IQR)15570.25

Descriptive statistics

Standard deviation11956.112
Coefficient of variation (CV)0.47920426
Kurtosis-0.76960024
Mean24949.929
Median Absolute Deviation (MAD)7184.5
Skewness-0.54594749
Sum1047897
Variance1.4294862 × 108
MonotonicityNot monotonic
2023-12-12T08:44:27.360312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
25576 1
 
2.4%
19919 1
 
2.4%
24094 1
 
2.4%
22899 1
 
2.4%
20412 1
 
2.4%
18757 1
 
2.4%
19680 1
 
2.4%
19946 1
 
2.4%
22916 1
 
2.4%
20291 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
909 1
2.4%
3187 1
2.4%
3550 1
2.4%
3871 1
2.4%
3987 1
2.4%
6847 1
2.4%
9556 1
2.4%
11999 1
2.4%
13106 1
2.4%
18757 1
2.4%
ValueCountFrequency (%)
41190 1
2.4%
39597 1
2.4%
39490 1
2.4%
39287 1
2.4%
38770 1
2.4%
38301 1
2.4%
38271 1
2.4%
37813 1
2.4%
37244 1
2.4%
37129 1
2.4%

2010
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25057.31
Minimum1474
Maximum40521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:27.526304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1474
5-th percentile3158.9
Q119201.5
median26500
Q335460
95-th percentile39079.65
Maximum40521
Range39047
Interquartile range (IQR)16258.5

Descriptive statistics

Standard deviation11641.714
Coefficient of variation (CV)0.46460351
Kurtosis-0.71269048
Mean25057.31
Median Absolute Deviation (MAD)8197.5
Skewness-0.56620158
Sum1052407
Variance1.355295 × 108
MonotonicityNot monotonic
2023-12-12T08:44:27.669464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
22432 1
 
2.4%
19604 1
 
2.4%
30422 1
 
2.4%
23681 1
 
2.4%
22493 1
 
2.4%
19983 1
 
2.4%
18351 1
 
2.4%
19174 1
 
2.4%
19284 1
 
2.4%
22158 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1474 1
2.4%
2752 1
2.4%
3102 1
2.4%
4240 1
2.4%
5479 1
2.4%
8052 1
2.4%
10563 1
2.4%
12926 1
2.4%
17606 1
2.4%
18351 1
2.4%
ValueCountFrequency (%)
40521 1
2.4%
39435 1
2.4%
39092 1
2.4%
38845 1
2.4%
38573 1
2.4%
37966 1
2.4%
37867 1
2.4%
36930 1
2.4%
36906 1
2.4%
36870 1
2.4%

2011
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25189.476
Minimum1051
Maximum40165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:27.814331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1051
5-th percentile4090.6
Q118675.5
median27367
Q335237.25
95-th percentile38927
Maximum40165
Range39114
Interquartile range (IQR)16561.75

Descriptive statistics

Standard deviation11218.706
Coefficient of variation (CV)0.44537275
Kurtosis-0.58788049
Mean25189.476
Median Absolute Deviation (MAD)8461
Skewness-0.58581569
Sum1057958
Variance1.2585937 × 108
MonotonicityNot monotonic
2023-12-12T08:44:27.956529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
21464 1
 
2.4%
21187 1
 
2.4%
35368 1
 
2.4%
30067 1
 
2.4%
23331 1
 
2.4%
22125 1
 
2.4%
19638 1
 
2.4%
17966 1
 
2.4%
18672 1
 
2.4%
18686 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1051 1
2.4%
2410 1
2.4%
4060 1
2.4%
4672 1
2.4%
7559 1
2.4%
10334 1
2.4%
12411 1
2.4%
17214 1
2.4%
17395 1
2.4%
17966 1
2.4%
ValueCountFrequency (%)
40165 1
2.4%
39264 1
2.4%
38946 1
2.4%
38566 1
2.4%
38284 1
2.4%
37733 1
2.4%
37604 1
2.4%
36586 1
2.4%
36428 1
2.4%
35608 1
2.4%

2012
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25344.571
Minimum1125
Maximum39606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:28.110688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1125
5-th percentile3348.15
Q118214.75
median28403
Q334778.75
95-th percentile38079.75
Maximum39606
Range38481
Interquartile range (IQR)16564

Descriptive statistics

Standard deviation10856.654
Coefficient of variation (CV)0.42836211
Kurtosis-0.44462981
Mean25344.571
Median Absolute Deviation (MAD)8341
Skewness-0.66985774
Sum1064472
Variance1.1786694 × 108
MonotonicityNot monotonic
2023-12-12T08:44:28.286122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
29235 1
 
2.4%
17884 1
 
2.4%
38085 1
 
2.4%
34888 1
 
2.4%
29307 1
 
2.4%
22760 1
 
2.4%
21563 1
 
2.4%
19045 1
 
2.4%
17315 1
 
2.4%
17938 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1125 1
2.4%
3158 1
2.4%
3218 1
2.4%
5821 1
2.4%
8604 1
2.4%
10937 1
2.4%
15803 1
2.4%
16908 1
2.4%
17315 1
2.4%
17884 1
2.4%
ValueCountFrequency (%)
39606 1
2.4%
39012 1
2.4%
38085 1
2.4%
37980 1
2.4%
37520 1
2.4%
37430 1
2.4%
37204 1
2.4%
36284 1
2.4%
35968 1
2.4%
34981 1
2.4%

2013
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25538.333
Minimum1114
Maximum39216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:28.433207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1114
5-th percentile4547.25
Q118609.75
median28165.5
Q334470.25
95-th percentile37864.45
Maximum39216
Range38102
Interquartile range (IQR)15860.5

Descriptive statistics

Standard deviation10465.106
Coefficient of variation (CV)0.4097803
Kurtosis-0.32165864
Mean25538.333
Median Absolute Deviation (MAD)7726.5
Skewness-0.70517312
Sum1072610
Variance1.0951844 × 108
MonotonicityNot monotonic
2023-12-12T08:44:28.582968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
24310 1
 
2.4%
17203 1
 
2.4%
39216 1
 
2.4%
37759 1
 
2.4%
34483 1
 
2.4%
28785 1
 
2.4%
22283 1
 
2.4%
21028 1
 
2.4%
18499 1
 
2.4%
16675 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1114 1
2.4%
3474 1
2.4%
4407 1
2.4%
7212 1
2.4%
9615 1
2.4%
14340 1
2.4%
15652 1
2.4%
15973 1
2.4%
16675 1
2.4%
17203 1
2.4%
ValueCountFrequency (%)
39216 1
2.4%
38863 1
2.4%
37870 1
2.4%
37759 1
2.4%
37454 1
2.4%
37373 1
2.4%
36752 1
2.4%
36125 1
2.4%
35659 1
2.4%
34629 1
2.4%

2014
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25741.595
Minimum926
Maximum38664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:28.741783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum926
5-th percentile4441.3
Q117898.5
median28262
Q334296.25
95-th percentile37750.35
Maximum38664
Range37738
Interquartile range (IQR)16397.75

Descriptive statistics

Standard deviation10656.174
Coefficient of variation (CV)0.41396712
Kurtosis-0.36153767
Mean25741.595
Median Absolute Deviation (MAD)7822.5
Skewness-0.78050004
Sum1081147
Variance1.1355405 × 108
MonotonicityNot monotonic
2023-12-12T08:44:28.878901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
36804 1
 
2.4%
15604 1
 
2.4%
35056 1
 
2.4%
38575 1
 
2.4%
37134 1
 
2.4%
33581 1
 
2.4%
27829 1
 
2.4%
21398 1
 
2.4%
20013 1
 
2.4%
17400 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
926 1
2.4%
3307 1
2.4%
4335 1
2.4%
6461 1
2.4%
10545 1
2.4%
12778 1
2.4%
14947 1
2.4%
14948 1
2.4%
15604 1
2.4%
16316 1
2.4%
ValueCountFrequency (%)
38664 1
2.4%
38575 1
2.4%
37773 1
2.4%
37320 1
2.4%
37290 1
2.4%
37134 1
2.4%
36804 1
2.4%
36233 1
2.4%
35936 1
2.4%
35056 1
2.4%

2015
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26024.714
Minimum754
Maximum38566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:29.018941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum754
5-th percentile3642.55
Q119190.75
median28991.5
Q334622
95-th percentile37749.9
Maximum38566
Range37812
Interquartile range (IQR)15431.25

Descriptive statistics

Standard deviation10846.791
Coefficient of variation (CV)0.4167881
Kurtosis-0.28538165
Mean26024.714
Median Absolute Deviation (MAD)6816.5
Skewness-0.88699997
Sum1093038
Variance1.1765288 × 108
MonotonicityNot monotonic
2023-12-12T08:44:29.152992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
32785 1
 
2.4%
16248 1
 
2.4%
33629 1
 
2.4%
34520 1
 
2.4%
37917 1
 
2.4%
36307 1
 
2.4%
32656 1
 
2.4%
26899 1
 
2.4%
20586 1
 
2.4%
19160 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
754 1
2.4%
2375 1
2.4%
3438 1
2.4%
7529 1
2.4%
10415 1
2.4%
12762 1
2.4%
13345 1
2.4%
13643 1
2.4%
13997 1
2.4%
16248 1
2.4%
ValueCountFrequency (%)
38566 1
2.4%
37917 1
2.4%
37778 1
2.4%
37216 1
2.4%
37199 1
2.4%
37052 1
2.4%
36307 1
2.4%
35887 1
2.4%
35729 1
2.4%
35189 1
2.4%

2016
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26380.286
Minimum1010
Maximum40593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:29.327297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1010
5-th percentile4675.65
Q119257.5
median29217.5
Q335247
95-th percentile37672
Maximum40593
Range39583
Interquartile range (IQR)15989.5

Descriptive statistics

Standard deviation10954.219
Coefficient of variation (CV)0.41524262
Kurtosis-0.29589694
Mean26380.286
Median Absolute Deviation (MAD)6727.5
Skewness-0.87380939
Sum1107972
Variance1.1999492 × 108
MonotonicityNot monotonic
2023-12-12T08:44:29.510052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
31818 1
 
2.4%
17869 1
 
2.4%
35255 1
 
2.4%
33121 1
 
2.4%
33918 1
 
2.4%
37306 1
 
2.4%
35223 1
 
2.4%
31523 1
 
2.4%
25732 1
 
2.4%
19472 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1010 1
2.4%
2231 1
2.4%
4513 1
2.4%
7766 1
2.4%
11242 1
2.4%
11784 1
2.4%
12320 1
2.4%
12777 1
2.4%
14064 1
2.4%
17869 1
2.4%
ValueCountFrequency (%)
40593 1
2.4%
38434 1
2.4%
37680 1
2.4%
37520 1
2.4%
37306 1
2.4%
37209 1
2.4%
37169 1
2.4%
37123 1
2.4%
36151 1
2.4%
35739 1
2.4%

2017
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26677.571
Minimum980
Maximum42324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:29.674203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum980
5-th percentile5018.35
Q120288
median29370.5
Q334591.5
95-th percentile38260.45
Maximum42324
Range41344
Interquartile range (IQR)14303.5

Descriptive statistics

Standard deviation11067.558
Coefficient of variation (CV)0.41486376
Kurtosis-0.2360592
Mean26677.571
Median Absolute Deviation (MAD)5828.5
Skewness-0.85625385
Sum1120458
Variance1.2249083 × 108
MonotonicityNot monotonic
2023-12-12T08:44:29.821879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
31166 1
 
2.4%
18267 1
 
2.4%
27440 1
 
2.4%
34726 1
 
2.4%
32560 1
 
2.4%
33292 1
 
2.4%
36437 1
 
2.4%
34009 1
 
2.4%
30361 1
 
2.4%
24460 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
980 1
2.4%
2687 1
2.4%
4824 1
2.4%
8711 1
2.4%
9402 1
2.4%
10645 1
2.4%
11315 1
2.4%
13517 1
2.4%
15731 1
2.4%
18267 1
2.4%
ValueCountFrequency (%)
42324 1
2.4%
41666 1
2.4%
38284 1
2.4%
37813 1
2.4%
37661 1
2.4%
37539 1
2.4%
37054 1
2.4%
37051 1
2.4%
36437 1
2.4%
35602 1
2.4%

2018
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27633
Minimum1062
Maximum49828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:29.983310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile5821.6
Q123149.75
median29331.5
Q335479.5
95-th percentile43402.35
Maximum49828
Range48766
Interquartile range (IQR)12329.75

Descriptive statistics

Standard deviation11887.664
Coefficient of variation (CV)0.4301981
Kurtosis-0.22678818
Mean27633
Median Absolute Deviation (MAD)6286.5
Skewness-0.63585216
Sum1160586
Variance1.4131656 × 108
MonotonicityNot monotonic
2023-12-12T08:44:30.110498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
49828 1
 
2.4%
22919 1
 
2.4%
28202 1
 
2.4%
27065 1
 
2.4%
34181 1
 
2.4%
31982 1
 
2.4%
32627 1
 
2.4%
35188 1
 
2.4%
32726 1
 
2.4%
28933 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1062 1
2.4%
3202 1
2.4%
5744 1
2.4%
7296 1
2.4%
8711 1
2.4%
9575 1
2.4%
11775 1
2.4%
14932 1
2.4%
15898 1
2.4%
18365 1
2.4%
ValueCountFrequency (%)
49828 1
2.4%
44599 1
2.4%
43435 1
2.4%
42782 1
2.4%
38436 1
2.4%
38196 1
2.4%
38115 1
2.4%
37455 1
2.4%
36980 1
2.4%
36975 1
2.4%

2019
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28453.595
Minimum2014
Maximum53366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:30.231539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2014
5-th percentile4919.75
Q123829.5
median29567
Q336883
95-th percentile45059
Maximum53366
Range51352
Interquartile range (IQR)13053.5

Descriptive statistics

Standard deviation12815.419
Coefficient of variation (CV)0.45039719
Kurtosis-0.22938699
Mean28453.595
Median Absolute Deviation (MAD)7304
Skewness-0.38802211
Sum1195051
Variance1.6423497 × 108
MonotonicityNot monotonic
2023-12-12T08:44:30.389934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
52100 1
 
2.4%
27039 1
 
2.4%
29304 1
 
2.4%
27756 1
 
2.4%
26638 1
 
2.4%
33462 1
 
2.4%
31285 1
 
2.4%
31552 1
 
2.4%
33516 1
 
2.4%
30924 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
2014 1
2.4%
3646 1
2.4%
4841 1
2.4%
6416 1
2.4%
7357 1
2.4%
9573 1
2.4%
12736 1
2.4%
14473 1
2.4%
18144 1
2.4%
18740 1
2.4%
ValueCountFrequency (%)
53366 1
2.4%
52100 1
2.4%
45068 1
2.4%
44888 1
2.4%
44498 1
2.4%
43109 1
2.4%
38704 1
2.4%
38258 1
2.4%
38073 1
2.4%
37355 1
2.4%

2020
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29079.095
Minimum1964
Maximum57278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:30.495410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1964
5-th percentile4391.2
Q123525.75
median29075.5
Q337103
95-th percentile48797.05
Maximum57278
Range55314
Interquartile range (IQR)13577.25

Descriptive statistics

Standard deviation13564.116
Coefficient of variation (CV)0.46645591
Kurtosis-0.074465134
Mean29079.095
Median Absolute Deviation (MAD)7668.5
Skewness-0.19081328
Sum1221322
Variance1.8398524 × 108
MonotonicityNot monotonic
2023-12-12T08:44:30.598675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
48950 1
 
2.4%
28656 1
 
2.4%
25064 1
 
2.4%
28882 1
 
2.4%
27248 1
 
2.4%
26189 1
 
2.4%
32706 1
 
2.4%
30501 1
 
2.4%
30034 1
 
2.4%
31563 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1964 1
2.4%
3693 1
2.4%
4341 1
2.4%
5345 1
2.4%
7251 1
2.4%
10335 1
2.4%
11922 1
2.4%
17839 1
2.4%
17977 1
2.4%
22449 1
2.4%
ValueCountFrequency (%)
57278 1
2.4%
56757 1
2.4%
48950 1
2.4%
45891 1
2.4%
45530 1
2.4%
44982 1
2.4%
43165 1
2.4%
38753 1
2.4%
38088 1
2.4%
37929 1
2.4%

2021
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30033.833
Minimum1774
Maximum61927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:30.698840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1774
5-th percentile4194.9
Q124547
median28707
Q337569.25
95-th percentile57249.15
Maximum61927
Range60153
Interquartile range (IQR)13022.25

Descriptive statistics

Standard deviation14591.305
Coefficient of variation (CV)0.48582894
Kurtosis0.013625875
Mean30033.833
Median Absolute Deviation (MAD)7845.5
Skewness0.06620651
Sum1261421
Variance2.1290619 × 108
MonotonicityNot monotonic
2023-12-12T08:44:30.802184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
57636 1
 
2.4%
29376 1
 
2.4%
26851 1
 
2.4%
24643 1
 
2.4%
28434 1
 
2.4%
26772 1
 
2.4%
25689 1
 
2.4%
32036 1
 
2.4%
29356 1
 
2.4%
28355 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1774 1
2.4%
3664 1
2.4%
4131 1
2.4%
5409 1
2.4%
8357 1
2.4%
9812 1
2.4%
15348 1
2.4%
17818 1
2.4%
21552 1
2.4%
22771 1
2.4%
ValueCountFrequency (%)
61927 1
2.4%
57636 1
2.4%
57356 1
2.4%
55219 1
2.4%
46414 1
2.4%
45575 1
2.4%
44983 1
2.4%
43134 1
2.4%
38736 1
2.4%
38048 1
2.4%

2022계
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30499.857
Minimum1871
Maximum64070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:30.916532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1871
5-th percentile3326.2
Q124209.5
median28052
Q337785.5
95-th percentile57381.55
Maximum64070
Range62199
Interquartile range (IQR)13576

Descriptive statistics

Standard deviation15242.84
Coefficient of variation (CV)0.4997676
Kurtosis0.007314927
Mean30499.857
Median Absolute Deviation (MAD)8546.5
Skewness0.16513203
Sum1280994
Variance2.3234418 × 108
MonotonicityNot monotonic
2023-12-12T08:44:31.020789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
50252 1
 
2.4%
26010 1
 
2.4%
17565 1
 
2.4%
26425 1
 
2.4%
24158 1
 
2.4%
27847 1
 
2.4%
26146 1
 
2.4%
24996 1
 
2.4%
31106 1
 
2.4%
27296 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1871 1
2.4%
3108 1
2.4%
3194 1
2.4%
5838 1
2.4%
7187 1
2.4%
12151 1
2.4%
17565 1
2.4%
17934 1
2.4%
22488 1
2.4%
22584 1
2.4%
ValueCountFrequency (%)
64070 1
2.4%
61921 1
2.4%
57438 1
2.4%
56309 1
2.4%
50252 1
2.4%
46286 1
2.4%
45459 1
2.4%
44745 1
2.4%
42872 1
2.4%
38615 1
2.4%

2022남
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15649.31
Minimum1015
Maximum28935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:31.154189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1015
5-th percentile1637.15
Q113032
median15742
Q320425
95-th percentile25368.1
Maximum28935
Range27920
Interquartile range (IQR)7393

Descriptive statistics

Standard deviation6754.695
Coefficient of variation (CV)0.43162895
Kurtosis0.16182764
Mean15649.31
Median Absolute Deviation (MAD)3334.5
Skewness-0.44384058
Sum657271
Variance45625904
MonotonicityNot monotonic
2023-12-12T08:44:31.507664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
22049 1
 
2.4%
16423 1
 
2.4%
10966 1
 
2.4%
15477 1
 
2.4%
12870 1
 
2.4%
15904 1
 
2.4%
16951 1
 
2.4%
14767 1
 
2.4%
15927 1
 
2.4%
15557 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
1015 1
2.4%
1182 1
2.4%
1539 1
2.4%
3502 1
2.4%
4383 1
2.4%
7780 1
2.4%
10667 1
2.4%
10966 1
2.4%
12248 1
2.4%
12567 1
2.4%
ValueCountFrequency (%)
28935 1
2.4%
26126 1
2.4%
25399 1
2.4%
24781 1
2.4%
24714 1
2.4%
24126 1
2.4%
22222 1
2.4%
22049 1
2.4%
21667 1
2.4%
21134 1
2.4%

2022여
Real number (ℝ)

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14850.548
Minimum332
Maximum37944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-12T08:44:31.615453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum332
5-th percentile2186.85
Q19293
median13590
Q319843.25
95-th percentile32569.65
Maximum37944
Range37612
Interquartile range (IQR)10550.25

Descriptive statistics

Standard deviation8957.1952
Coefficient of variation (CV)0.60315589
Kurtosis0.19257673
Mean14850.548
Median Absolute Deviation (MAD)5477
Skewness0.6224971
Sum623723
Variance80231346
MonotonicityNot monotonic
2023-12-12T08:44:31.727584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
28203 1
 
2.4%
9587 1
 
2.4%
6599 1
 
2.4%
10948 1
 
2.4%
11288 1
 
2.4%
11943 1
 
2.4%
9195 1
 
2.4%
10229 1
 
2.4%
15179 1
 
2.4%
11739 1
 
2.4%
Other values (32) 32
76.2%
ValueCountFrequency (%)
332 1
2.4%
1926 1
2.4%
2179 1
2.4%
2336 1
2.4%
2804 1
2.4%
4371 1
2.4%
5367 1
2.4%
6599 1
2.4%
7138 1
2.4%
8530 1
2.4%
ValueCountFrequency (%)
37944 1
2.4%
32986 1
2.4%
32657 1
2.4%
30910 1
2.4%
28203 1
2.4%
23078 1
2.4%
21738 1
2.4%
21572 1
2.4%
21333 1
2.4%
20221 1
2.4%

Sample

구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022계2022남2022여
01년미만0000000000000000000206902751927336334473019031812277582780125576224322146429235243103680432785318183116649828521004895057636502522204928203
11년이상0000000000000000000249222006927721279233204331062313812819526993241002148821326282002676234656361513410535492533665675755219640702612637944
22년0000000000000000000225182760622967324613276436507346793569032944319202703624541246243307235189405934232443435444985727861927574382478132657
33년0000000000000000000202432532630721277053648537968392693778737813347463202527719263742518337052372094166644599450684589157356619212893532986
44년237296216361172523152722148543154036152007179751190998192142200197198920178312161680150627142698128259124241130431322772037925652312282790937189388363955938271378673484531927281312600726078375203781342782448884553046414563092539930910
55년0000000000000000000315353202520462259513161928240374823877639597379663760434451319622805726373263063766138436431094498245575462862471421572
66년0000000000000000000346113127931851205582608231752283283730238770394353773337430344323192528311265312645938115387044316544983454592412621333
77년0000000000000000000340303434530997315982054026136317662817737244385733926437520373733434832082283812661626816382583875343134447452166723078
88년0000000000000000000318883376234124307233146020481260603153028122369063828439012374543729034355320082836626788267823808838736428722113421738
99년144309174833205354221280224385165468165603156366157020171826188510200488215983224942225042220219206100190162182602411433164333531339103048131357204282567531482279023658637980388633732037199342803196228487268702680938048386152222216393
구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022계2022남2022여
3232년000000172902139624177249402640928320322403560037895408223925133706348931041513214109649237123511358714449147121991919604211871788417203156041624817869182672291927039286562937626010164239587
3333년207902246318853229572588136143234522494827301327543556037689393654182445944478364070725870227675544268944574499671106171690914741051112511149267541010980106220141964177418711539332
3433년초과00000000000000000008179942411363869180731018111219110971310617606172141910515973149481334514064157311589818740224492451524364158348530
3534년이상000000000000000000064017881898410284825072599654103961199912926173951690818942149471364312777135171493214473178392155222584154467138
3635년000000000000000000041135627673078629303682060327679955610563124111580315652163161276212320113151177512736119221534817934125675367
3736년0000000000000000000245934794750559271217986563546536847805210334109371434012778139971124210645957595731033598121215177804371
3837년0000000000000000000205319222825387648296152661443173987547975598604961510545104151178494028711735772518357718743832804
3938년0000000000000000000155316771400209130903737496948743550310246725821721264617529776687117296641653455409583835022336
4039년00000000000000000008751318134295715112141258635693871275224103158440743353438451348245744484143413664310811821926
4140년이상0000000000000000000216422442486249818861514151119143187424040603218347433072375223126873202364636934131319410152179