Overview

Dataset statistics

Number of variables44
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.9 KiB
Average record size in memory398.2 B

Variable types

Text1
Numeric43

Dataset

Description재직년수(1년 미만 ~ 40년)별 공무원 퇴직자 수 추이에 대한 데이터입니다. 1년 미만부터 시작되며 연 단위로 구분됩니다.
URLhttps://www.data.go.kr/data/15054047/fileData.do

Alerts

구분 has unique valuesUnique
2006 has unique valuesUnique
2007 has unique valuesUnique
2008 has unique valuesUnique
2009 has unique valuesUnique
2014 has unique valuesUnique
2016 has unique valuesUnique
2022(남) has unique valuesUnique
1982 has 36 (87.8%) zerosZeros
1983 has 36 (87.8%) zerosZeros
1984 has 36 (87.8%) zerosZeros
1985 has 36 (87.8%) zerosZeros
1986 has 36 (87.8%) zerosZeros
1987 has 36 (87.8%) zerosZeros
1988 has 33 (80.5%) zerosZeros
1989 has 33 (80.5%) zerosZeros
1990 has 33 (80.5%) zerosZeros
1991 has 33 (80.5%) zerosZeros
1992 has 33 (80.5%) zerosZeros
1993 has 33 (80.5%) zerosZeros
1994 has 33 (80.5%) zerosZeros
1995 has 33 (80.5%) zerosZeros
1996 has 33 (80.5%) zerosZeros
1997 has 33 (80.5%) zerosZeros
1998 has 33 (80.5%) zerosZeros
1999 has 33 (80.5%) zerosZeros
2000 has 33 (80.5%) zerosZeros
2001 has 7 (17.1%) zerosZeros

Reproduction

Analysis started2023-12-12 13:46:34.293203
Analysis finished2023-12-12 13:46:34.607615
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T22:46:34.743836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8536585
Min length2

Characters and Unicode

Total characters117
Distinct characters15
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

Unique41 ?
Unique (%)100.0%

Sample

1st row1년미만
2nd row1년이상
3rd row2년
4th row3년
5th row4년
ValueCountFrequency (%)
1년미만 1
 
2.4%
21년 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%
30년 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T22:46:35.106928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
35.0%
1 15
 
12.8%
2 14
 
12.0%
3 14
 
12.0%
4 5
 
4.3%
5 4
 
3.4%
6 4
 
3.4%
7 4
 
3.4%
8 4
 
3.4%
9 4
 
3.4%
Other values (5) 8
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
61.5%
Other Letter 45
38.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%
Other Letter
ValueCountFrequency (%)
41
91.1%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 72
61.5%
Hangul 45
38.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%
Hangul
ValueCountFrequency (%)
41
91.1%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
61.5%
Hangul 45
38.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
91.1%
1
 
2.2%
1
 
2.2%
1
 
2.2%
1
 
2.2%
ASCII
ValueCountFrequency (%)
1 15
20.8%
2 14
19.4%
3 14
19.4%
4 5
 
6.9%
5 4
 
5.6%
6 4
 
5.6%
7 4
 
5.6%
8 4
 
5.6%
9 4
 
5.6%
0 4
 
5.6%

1982
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean947.41463
Minimum0
Maximum22289
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:35.218432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5106
Maximum22289
Range22289
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3680.2505
Coefficient of variation (CV)3.8845194
Kurtosis29.819437
Mean947.41463
Median Absolute Deviation (MAD)0
Skewness5.2445376
Sum38844
Variance13544244
MonotonicityNot monotonic
2023-12-12T22:46:35.321421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
22289 1
 
2.4%
6527 1
 
2.4%
3163 1
 
2.4%
1759 1
 
2.4%
5106 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
1759 1
 
2.4%
3163 1
 
2.4%
5106 1
 
2.4%
6527 1
 
2.4%
22289 1
 
2.4%
ValueCountFrequency (%)
22289 1
 
2.4%
6527 1
 
2.4%
5106 1
 
2.4%
3163 1
 
2.4%
1759 1
 
2.4%
0 36
87.8%

1983
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean892.78049
Minimum0
Maximum16741
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:35.402458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6199
Maximum16741
Range16741
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3040.7926
Coefficient of variation (CV)3.4059801
Kurtosis19.512689
Mean892.78049
Median Absolute Deviation (MAD)0
Skewness4.2313351
Sum36604
Variance9246419.4
MonotonicityNot monotonic
2023-12-12T22:46:35.500191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
16741 1
 
2.4%
8315 1
 
2.4%
3123 1
 
2.4%
2226 1
 
2.4%
6199 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
2226 1
 
2.4%
3123 1
 
2.4%
6199 1
 
2.4%
8315 1
 
2.4%
16741 1
 
2.4%
ValueCountFrequency (%)
16741 1
 
2.4%
8315 1
 
2.4%
6199 1
 
2.4%
3123 1
 
2.4%
2226 1
 
2.4%
0 36
87.8%

1984
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848
Minimum0
Maximum15399
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:35.600121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5491
Maximum15399
Range15399
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2870.0828
Coefficient of variation (CV)3.3845315
Kurtosis17.952151
Mean848
Median Absolute Deviation (MAD)0
Skewness4.1000722
Sum34768
Variance8237375
MonotonicityNot monotonic
2023-12-12T22:46:35.712201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
15399 1
 
2.4%
8882 1
 
2.4%
2903 1
 
2.4%
2093 1
 
2.4%
5491 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
2093 1
 
2.4%
2903 1
 
2.4%
5491 1
 
2.4%
8882 1
 
2.4%
15399 1
 
2.4%
ValueCountFrequency (%)
15399 1
 
2.4%
8882 1
 
2.4%
5491 1
 
2.4%
2903 1
 
2.4%
2093 1
 
2.4%
0 36
87.8%

1985
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean702.92683
Minimum0
Maximum11540
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:35.821622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5936
Maximum11540
Range11540
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2299.0225
Coefficient of variation (CV)3.2706427
Kurtosis14.062688
Mean702.92683
Median Absolute Deviation (MAD)0
Skewness3.7113809
Sum28820
Variance5285504.4
MonotonicityNot monotonic
2023-12-12T22:46:35.930871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
11540 1
 
2.4%
7458 1
 
2.4%
2165 1
 
2.4%
1721 1
 
2.4%
5936 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
1721 1
 
2.4%
2165 1
 
2.4%
5936 1
 
2.4%
7458 1
 
2.4%
11540 1
 
2.4%
ValueCountFrequency (%)
11540 1
 
2.4%
7458 1
 
2.4%
5936 1
 
2.4%
2165 1
 
2.4%
1721 1
 
2.4%
0 36
87.8%

1986
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601.2439
Minimum0
Maximum8563
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:36.034312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6036
Maximum8563
Range8563
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1876.8122
Coefficient of variation (CV)3.1215488
Kurtosis10.536746
Mean601.2439
Median Absolute Deviation (MAD)0
Skewness3.3308434
Sum24651
Variance3522424
MonotonicityNot monotonic
2023-12-12T22:46:36.138406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
8563 1
 
2.4%
6198 1
 
2.4%
2170 1
 
2.4%
1684 1
 
2.4%
6036 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
1684 1
 
2.4%
2170 1
 
2.4%
6036 1
 
2.4%
6198 1
 
2.4%
8563 1
 
2.4%
ValueCountFrequency (%)
8563 1
 
2.4%
6198 1
 
2.4%
6036 1
 
2.4%
2170 1
 
2.4%
1684 1
 
2.4%
0 36
87.8%

1987
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean624.12195
Minimum0
Maximum8360
Zeros36
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:36.238365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5369
Maximum8360
Range8360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1962.299
Coefficient of variation (CV)3.1440955
Kurtosis10.490459
Mean624.12195
Median Absolute Deviation (MAD)0
Skewness3.347331
Sum25589
Variance3850617.4
MonotonicityNot monotonic
2023-12-12T22:46:36.329422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 36
87.8%
8360 1
 
2.4%
5369 1
 
2.4%
2294 1
 
2.4%
1600 1
 
2.4%
7966 1
 
2.4%
ValueCountFrequency (%)
0 36
87.8%
1600 1
 
2.4%
2294 1
 
2.4%
5369 1
 
2.4%
7966 1
 
2.4%
8360 1
 
2.4%
ValueCountFrequency (%)
8360 1
 
2.4%
7966 1
 
2.4%
5369 1
 
2.4%
2294 1
 
2.4%
1600 1
 
2.4%
0 36
87.8%

1988
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661.68293
Minimum0
Maximum9308
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:36.433256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2697
Maximum9308
Range9308
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1767.6033
Coefficient of variation (CV)2.671375
Kurtosis15.096751
Mean661.68293
Median Absolute Deviation (MAD)0
Skewness3.6555686
Sum27129
Variance3124421.3
MonotonicityNot monotonic
2023-12-12T22:46:36.549074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
9308 1
 
2.4%
5462 1
 
2.4%
2465 1
 
2.4%
1641 1
 
2.4%
2697 1
 
2.4%
1998 1
 
2.4%
1992 1
 
2.4%
1566 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1566 1
 
2.4%
1641 1
 
2.4%
1992 1
 
2.4%
1998 1
 
2.4%
2465 1
 
2.4%
2697 1
 
2.4%
5462 1
 
2.4%
9308 1
 
2.4%
ValueCountFrequency (%)
9308 1
 
2.4%
5462 1
 
2.4%
2697 1
 
2.4%
2465 1
 
2.4%
1998 1
 
2.4%
1992 1
 
2.4%
1641 1
 
2.4%
1566 1
 
2.4%
0 33
80.5%

1989
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.46341
Minimum0
Maximum8927
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:36.652167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2459
Maximum8927
Range8927
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1633.6041
Coefficient of variation (CV)2.7342328
Kurtosis17.467998
Mean597.46341
Median Absolute Deviation (MAD)0
Skewness3.8953545
Sum24496
Variance2668662.3
MonotonicityNot monotonic
2023-12-12T22:46:36.769664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
8927 1
 
2.4%
4508 1
 
2.4%
2320 1
 
2.4%
1410 1
 
2.4%
1777 1
 
2.4%
1593 1
 
2.4%
1502 1
 
2.4%
2459 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1410 1
 
2.4%
1502 1
 
2.4%
1593 1
 
2.4%
1777 1
 
2.4%
2320 1
 
2.4%
2459 1
 
2.4%
4508 1
 
2.4%
8927 1
 
2.4%
ValueCountFrequency (%)
8927 1
 
2.4%
4508 1
 
2.4%
2459 1
 
2.4%
2320 1
 
2.4%
1777 1
 
2.4%
1593 1
 
2.4%
1502 1
 
2.4%
1410 1
 
2.4%
0 33
80.5%

1990
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean679.65854
Minimum0
Maximum10163
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:36.867767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2791
Maximum10163
Range10163
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1855.1584
Coefficient of variation (CV)2.7295448
Kurtosis17.573413
Mean679.65854
Median Absolute Deviation (MAD)0
Skewness3.8986801
Sum27866
Variance3441612.8
MonotonicityNot monotonic
2023-12-12T22:46:36.966449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
10163 1
 
2.4%
4989 1
 
2.4%
2791 1
 
2.4%
1496 1
 
2.4%
1964 1
 
2.4%
1987 1
 
2.4%
1701 1
 
2.4%
2775 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1496 1
 
2.4%
1701 1
 
2.4%
1964 1
 
2.4%
1987 1
 
2.4%
2775 1
 
2.4%
2791 1
 
2.4%
4989 1
 
2.4%
10163 1
 
2.4%
ValueCountFrequency (%)
10163 1
 
2.4%
4989 1
 
2.4%
2791 1
 
2.4%
2775 1
 
2.4%
1987 1
 
2.4%
1964 1
 
2.4%
1701 1
 
2.4%
1496 1
 
2.4%
0 33
80.5%

1991
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean751.4878
Minimum0
Maximum11661
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:37.061980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3170
Maximum11661
Range11661
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2093.3865
Coefficient of variation (CV)2.785656
Kurtosis19.022211
Mean751.4878
Median Absolute Deviation (MAD)0
Skewness4.0586834
Sum30811
Variance4382267.1
MonotonicityNot monotonic
2023-12-12T22:46:37.154453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
11661 1
 
2.4%
5436 1
 
2.4%
3170 1
 
2.4%
1755 1
 
2.4%
2102 1
 
2.4%
2008 1
 
2.4%
1898 1
 
2.4%
2781 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1755 1
 
2.4%
1898 1
 
2.4%
2008 1
 
2.4%
2102 1
 
2.4%
2781 1
 
2.4%
3170 1
 
2.4%
5436 1
 
2.4%
11661 1
 
2.4%
ValueCountFrequency (%)
11661 1
 
2.4%
5436 1
 
2.4%
3170 1
 
2.4%
2781 1
 
2.4%
2102 1
 
2.4%
2008 1
 
2.4%
1898 1
 
2.4%
1755 1
 
2.4%
0 33
80.5%

1992
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.02439
Minimum0
Maximum12372
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:37.254504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3705
Maximum12372
Range12372
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2240.4981
Coefficient of variation (CV)2.7900748
Kurtosis18.309501
Mean803.02439
Median Absolute Deviation (MAD)0
Skewness3.9884052
Sum32924
Variance5019831.7
MonotonicityNot monotonic
2023-12-12T22:46:37.350719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
12372 1
 
2.4%
5845 1
 
2.4%
3272 1
 
2.4%
1859 1
 
2.4%
2154 1
 
2.4%
2390 1
 
2.4%
1327 1
 
2.4%
3705 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1327 1
 
2.4%
1859 1
 
2.4%
2154 1
 
2.4%
2390 1
 
2.4%
3272 1
 
2.4%
3705 1
 
2.4%
5845 1
 
2.4%
12372 1
 
2.4%
ValueCountFrequency (%)
12372 1
 
2.4%
5845 1
 
2.4%
3705 1
 
2.4%
3272 1
 
2.4%
2390 1
 
2.4%
2154 1
 
2.4%
1859 1
 
2.4%
1327 1
 
2.4%
0 33
80.5%

1993
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean871.85366
Minimum0
Maximum12343
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:37.438792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4968
Maximum12343
Range12343
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2297.5889
Coefficient of variation (CV)2.635292
Kurtosis15.694063
Mean871.85366
Median Absolute Deviation (MAD)0
Skewness3.6627647
Sum35746
Variance5278914.9
MonotonicityNot monotonic
2023-12-12T22:46:37.530044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
12343 1
 
2.4%
5561 1
 
2.4%
3189 1
 
2.4%
2511 1
 
2.4%
2228 1
 
2.4%
3063 1
 
2.4%
1883 1
 
2.4%
4968 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1883 1
 
2.4%
2228 1
 
2.4%
2511 1
 
2.4%
3063 1
 
2.4%
3189 1
 
2.4%
4968 1
 
2.4%
5561 1
 
2.4%
12343 1
 
2.4%
ValueCountFrequency (%)
12343 1
 
2.4%
5561 1
 
2.4%
4968 1
 
2.4%
3189 1
 
2.4%
3063 1
 
2.4%
2511 1
 
2.4%
2228 1
 
2.4%
1883 1
 
2.4%
0 33
80.5%

1994
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean899.39024
Minimum0
Maximum11458
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:37.618414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5796
Maximum11458
Range11458
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2283.7641
Coefficient of variation (CV)2.539236
Kurtosis11.710089
Mean899.39024
Median Absolute Deviation (MAD)0
Skewness3.2393596
Sum36875
Variance5215578.3
MonotonicityNot monotonic
2023-12-12T22:46:37.706148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
11458 1
 
2.4%
6388 1
 
2.4%
3200 1
 
2.4%
2648 1
 
2.4%
2328 1
 
2.4%
3096 1
 
2.4%
1961 1
 
2.4%
5796 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
1961 1
 
2.4%
2328 1
 
2.4%
2648 1
 
2.4%
3096 1
 
2.4%
3200 1
 
2.4%
5796 1
 
2.4%
6388 1
 
2.4%
11458 1
 
2.4%
ValueCountFrequency (%)
11458 1
 
2.4%
6388 1
 
2.4%
5796 1
 
2.4%
3200 1
 
2.4%
3096 1
 
2.4%
2648 1
 
2.4%
2328 1
 
2.4%
1961 1
 
2.4%
0 33
80.5%

1995
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1046.5122
Minimum0
Maximum11077
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:37.804833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6463
Maximum11077
Range11077
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2443.4531
Coefficient of variation (CV)2.3348539
Kurtosis7.1096495
Mean1046.5122
Median Absolute Deviation (MAD)0
Skewness2.6269679
Sum42907
Variance5970462.9
MonotonicityNot monotonic
2023-12-12T22:46:37.897588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
11077 1
 
2.4%
6463 1
 
2.4%
4436 1
 
2.4%
3653 1
 
2.4%
3001 1
 
2.4%
4227 1
 
2.4%
2921 1
 
2.4%
7129 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
2921 1
 
2.4%
3001 1
 
2.4%
3653 1
 
2.4%
4227 1
 
2.4%
4436 1
 
2.4%
6463 1
 
2.4%
7129 1
 
2.4%
11077 1
 
2.4%
ValueCountFrequency (%)
11077 1
 
2.4%
7129 1
 
2.4%
6463 1
 
2.4%
4436 1
 
2.4%
4227 1
 
2.4%
3653 1
 
2.4%
3001 1
 
2.4%
2921 1
 
2.4%
0 33
80.5%

1996
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean823.82927
Minimum0
Maximum9590
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:38.014635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4808
Maximum9590
Range9590
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2000.8871
Coefficient of variation (CV)2.4287643
Kurtosis9.4870013
Mean823.82927
Median Absolute Deviation (MAD)0
Skewness2.9500129
Sum33777
Variance4003549.2
MonotonicityNot monotonic
2023-12-12T22:46:38.117518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
9590 1
 
2.4%
4808 1
 
2.4%
2516 1
 
2.4%
2457 1
 
2.4%
2580 1
 
2.4%
3090 1
 
2.4%
2614 1
 
2.4%
6122 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
2457 1
 
2.4%
2516 1
 
2.4%
2580 1
 
2.4%
2614 1
 
2.4%
3090 1
 
2.4%
4808 1
 
2.4%
6122 1
 
2.4%
9590 1
 
2.4%
ValueCountFrequency (%)
9590 1
 
2.4%
6122 1
 
2.4%
4808 1
 
2.4%
3090 1
 
2.4%
2614 1
 
2.4%
2580 1
 
2.4%
2516 1
 
2.4%
2457 1
 
2.4%
0 33
80.5%

1997
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean829
Minimum0
Maximum8282
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:38.206063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3994
Maximum8282
Range8282
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1981.7614
Coefficient of variation (CV)2.3905445
Kurtosis7.5932681
Mean829
Median Absolute Deviation (MAD)0
Skewness2.7551654
Sum33989
Variance3927378.4
MonotonicityNot monotonic
2023-12-12T22:46:38.301248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
8282 1
 
2.4%
3994 1
 
2.4%
2435 1
 
2.4%
2456 1
 
2.4%
2890 1
 
2.4%
3087 1
 
2.4%
2965 1
 
2.4%
7880 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
2435 1
 
2.4%
2456 1
 
2.4%
2890 1
 
2.4%
2965 1
 
2.4%
3087 1
 
2.4%
3994 1
 
2.4%
7880 1
 
2.4%
8282 1
 
2.4%
ValueCountFrequency (%)
8282 1
 
2.4%
7880 1
 
2.4%
3994 1
 
2.4%
3087 1
 
2.4%
2965 1
 
2.4%
2890 1
 
2.4%
2456 1
 
2.4%
2435 1
 
2.4%
0 33
80.5%

1998
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1339.0244
Minimum0
Maximum15092
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:38.382617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6837
Maximum15092
Range15092
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3132.1419
Coefficient of variation (CV)2.3391224
Kurtosis8.7288654
Mean1339.0244
Median Absolute Deviation (MAD)0
Skewness2.7760813
Sum54900
Variance9810312.8
MonotonicityNot monotonic
2023-12-12T22:46:38.476654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
6813 1
 
2.4%
4665 1
 
2.4%
4212 1
 
2.4%
3791 1
 
2.4%
6490 1
 
2.4%
7000 1
 
2.4%
6837 1
 
2.4%
15092 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
3791 1
 
2.4%
4212 1
 
2.4%
4665 1
 
2.4%
6490 1
 
2.4%
6813 1
 
2.4%
6837 1
 
2.4%
7000 1
 
2.4%
15092 1
 
2.4%
ValueCountFrequency (%)
15092 1
 
2.4%
7000 1
 
2.4%
6837 1
 
2.4%
6813 1
 
2.4%
6490 1
 
2.4%
4665 1
 
2.4%
4212 1
 
2.4%
3791 1
 
2.4%
0 33
80.5%

1999
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2312.122
Minimum0
Maximum25002
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:38.887876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11955
Maximum25002
Range25002
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5326.9812
Coefficient of variation (CV)2.3039361
Kurtosis7.6059392
Mean2312.122
Median Absolute Deviation (MAD)0
Skewness2.6313547
Sum94797
Variance28376729
MonotonicityNot monotonic
2023-12-12T22:46:39.011629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
11955 1
 
2.4%
9617 1
 
2.4%
7461 1
 
2.4%
6152 1
 
2.4%
10980 1
 
2.4%
12305 1
 
2.4%
11325 1
 
2.4%
25002 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
6152 1
 
2.4%
7461 1
 
2.4%
9617 1
 
2.4%
10980 1
 
2.4%
11325 1
 
2.4%
11955 1
 
2.4%
12305 1
 
2.4%
25002 1
 
2.4%
ValueCountFrequency (%)
25002 1
 
2.4%
12305 1
 
2.4%
11955 1
 
2.4%
11325 1
 
2.4%
10980 1
 
2.4%
9617 1
 
2.4%
7461 1
 
2.4%
6152 1
 
2.4%
0 33
80.5%

2000
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1569.3902
Minimum0
Maximum19081
Zeros33
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:39.112114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8871
Maximum19081
Range19081
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3821.6931
Coefficient of variation (CV)2.4351452
Kurtosis10.699766
Mean1569.3902
Median Absolute Deviation (MAD)0
Skewness3.0471263
Sum64345
Variance14605338
MonotonicityNot monotonic
2023-12-12T22:46:39.220607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 33
80.5%
19081 1
 
2.4%
8997 1
 
2.4%
5626 1
 
2.4%
3099 1
 
2.4%
7719 1
 
2.4%
6050 1
 
2.4%
4902 1
 
2.4%
8871 1
 
2.4%
ValueCountFrequency (%)
0 33
80.5%
3099 1
 
2.4%
4902 1
 
2.4%
5626 1
 
2.4%
6050 1
 
2.4%
7719 1
 
2.4%
8871 1
 
2.4%
8997 1
 
2.4%
19081 1
 
2.4%
ValueCountFrequency (%)
19081 1
 
2.4%
8997 1
 
2.4%
8871 1
 
2.4%
7719 1
 
2.4%
6050 1
 
2.4%
5626 1
 
2.4%
4902 1
 
2.4%
3099 1
 
2.4%
0 33
80.5%

2001
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean719.73171
Minimum0
Maximum4158
Zeros7
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:39.331022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1518
median663
Q3801
95-th percentile1258
Maximum4158
Range4158
Interquartile range (IQR)283

Descriptive statistics

Standard deviation690.30874
Coefficient of variation (CV)0.95911953
Kurtosis15.69027
Mean719.73171
Median Absolute Deviation (MAD)145
Skewness3.3697124
Sum29509
Variance476526.15
MonotonicityNot monotonic
2023-12-12T22:46:39.445795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 7
 
17.1%
696 2
 
4.9%
654 2
 
4.9%
645 1
 
2.4%
639 1
 
2.4%
1082 1
 
2.4%
822 1
 
2.4%
801 1
 
2.4%
722 1
 
2.4%
518 1
 
2.4%
Other values (23) 23
56.1%
ValueCountFrequency (%)
0 7
17.1%
397 1
 
2.4%
427 1
 
2.4%
500 1
 
2.4%
518 1
 
2.4%
555 1
 
2.4%
577 1
 
2.4%
613 1
 
2.4%
628 1
 
2.4%
638 1
 
2.4%
ValueCountFrequency (%)
4158 1
2.4%
2296 1
2.4%
1258 1
2.4%
1163 1
2.4%
1082 1
2.4%
962 1
2.4%
853 1
2.4%
851 1
2.4%
836 1
2.4%
822 1
2.4%

2002
Real number (ℝ)

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean563.29268
Minimum29
Maximum2110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:39.565123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile45
Q1390
median445
Q3555
95-th percentile1367
Maximum2110
Range2081
Interquartile range (IQR)165

Descriptive statistics

Standard deviation421.70424
Coefficient of variation (CV)0.74864142
Kurtosis4.4878757
Mean563.29268
Median Absolute Deviation (MAD)102
Skewness1.9425342
Sum23095
Variance177834.46
MonotonicityNot monotonic
2023-12-12T22:46:39.680537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
555 2
 
4.9%
390 2
 
4.9%
468 2
 
4.9%
433 2
 
4.9%
517 1
 
2.4%
533 1
 
2.4%
403 1
 
2.4%
411 1
 
2.4%
445 1
 
2.4%
440 1
 
2.4%
Other values (27) 27
65.9%
ValueCountFrequency (%)
29 1
2.4%
40 1
2.4%
45 1
2.4%
81 1
2.4%
236 1
2.4%
249 1
2.4%
295 1
2.4%
332 1
2.4%
385 1
2.4%
390 2
4.9%
ValueCountFrequency (%)
2110 1
2.4%
1674 1
2.4%
1367 1
2.4%
1340 1
2.4%
964 1
2.4%
954 1
2.4%
914 1
2.4%
748 1
2.4%
743 1
2.4%
555 2
4.9%

2003
Real number (ℝ)

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean607.29268
Minimum41
Maximum1918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:39.797207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile80
Q1341
median497
Q3635
95-th percentile1867
Maximum1918
Range1877
Interquartile range (IQR)294

Descriptive statistics

Standard deviation478.56876
Coefficient of variation (CV)0.78803644
Kurtosis2.4772335
Mean607.29268
Median Absolute Deviation (MAD)153
Skewness1.7576887
Sum24899
Variance229028.06
MonotonicityNot monotonic
2023-12-12T22:46:39.947374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
537 2
 
4.9%
650 2
 
4.9%
672 1
 
2.4%
1502 1
 
2.4%
498 1
 
2.4%
509 1
 
2.4%
473 1
 
2.4%
632 1
 
2.4%
586 1
 
2.4%
607 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
41 1
2.4%
54 1
2.4%
80 1
2.4%
99 1
2.4%
297 1
2.4%
315 1
2.4%
323 1
2.4%
327 1
2.4%
331 1
2.4%
337 1
2.4%
ValueCountFrequency (%)
1918 1
2.4%
1883 1
2.4%
1867 1
2.4%
1640 1
2.4%
1502 1
2.4%
965 1
2.4%
859 1
2.4%
672 1
2.4%
650 2
4.9%
635 1
2.4%

2004
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean667.90244
Minimum40
Maximum2563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:40.065089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile75
Q1358
median490
Q3696
95-th percentile2038
Maximum2563
Range2523
Interquartile range (IQR)338

Descriptive statistics

Standard deviation588.73062
Coefficient of variation (CV)0.881462
Kurtosis3.2537367
Mean667.90244
Median Absolute Deviation (MAD)150
Skewness1.9689352
Sum27384
Variance346603.74
MonotonicityNot monotonic
2023-12-12T22:46:40.172809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
348 2
 
4.9%
947 1
 
2.4%
490 1
 
2.4%
495 1
 
2.4%
613 1
 
2.4%
696 1
 
2.4%
584 1
 
2.4%
673 1
 
2.4%
753 1
 
2.4%
774 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
40 1
2.4%
59 1
2.4%
75 1
2.4%
117 1
2.4%
288 1
2.4%
300 1
2.4%
330 1
2.4%
340 1
2.4%
348 2
4.9%
358 1
2.4%
ValueCountFrequency (%)
2563 1
2.4%
2171 1
2.4%
2038 1
2.4%
1925 1
2.4%
1882 1
2.4%
947 1
2.4%
874 1
2.4%
774 1
2.4%
753 1
2.4%
720 1
2.4%

2005
Real number (ℝ)

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean847.85366
Minimum43
Maximum3776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:40.279950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile75
Q1307
median588
Q31124
95-th percentile2280
Maximum3776
Range3733
Interquartile range (IQR)817

Descriptive statistics

Standard deviation773.91129
Coefficient of variation (CV)0.91278876
Kurtosis4.0327262
Mean847.85366
Median Absolute Deviation (MAD)343
Skewness1.7791769
Sum34762
Variance598938.68
MonotonicityNot monotonic
2023-12-12T22:46:40.383626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
280 2
 
4.9%
282 2
 
4.9%
727 1
 
2.4%
906 1
 
2.4%
1149 1
 
2.4%
1126 1
 
2.4%
931 1
 
2.4%
1130 1
 
2.4%
1560 1
 
2.4%
993 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
43 1
2.4%
54 1
2.4%
75 1
2.4%
128 1
2.4%
263 1
2.4%
280 2
4.9%
282 2
4.9%
304 1
2.4%
307 1
2.4%
315 1
2.4%
ValueCountFrequency (%)
3776 1
2.4%
2294 1
2.4%
2280 1
2.4%
2210 1
2.4%
1785 1
2.4%
1706 1
2.4%
1560 1
2.4%
1149 1
2.4%
1130 1
2.4%
1126 1
2.4%

2006
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.21951
Minimum49
Maximum3455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:40.492631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile103
Q1252
median511
Q3821
95-th percentile2414
Maximum3455
Range3406
Interquartile range (IQR)569

Descriptive statistics

Standard deviation778.03225
Coefficient of variation (CV)1.0625669
Kurtosis3.7309495
Mean732.21951
Median Absolute Deviation (MAD)286
Skewness2.007791
Sum30021
Variance605334.18
MonotonicityNot monotonic
2023-12-12T22:46:40.620015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
626 1
 
2.4%
1023 1
 
2.4%
511 1
 
2.4%
542 1
 
2.4%
571 1
 
2.4%
583 1
 
2.4%
641 1
 
2.4%
737 1
 
2.4%
791 1
 
2.4%
851 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
49 1
2.4%
68 1
2.4%
103 1
2.4%
148 1
2.4%
197 1
2.4%
198 1
2.4%
205 1
2.4%
216 1
2.4%
218 1
2.4%
225 1
2.4%
ValueCountFrequency (%)
3455 1
2.4%
2713 1
2.4%
2414 1
2.4%
2293 1
2.4%
1794 1
2.4%
1695 1
2.4%
1101 1
2.4%
1023 1
2.4%
957 1
2.4%
851 1
2.4%

2007
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean753.87805
Minimum48
Maximum4910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:40.743247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile99
Q1253
median502
Q3858
95-th percentile2242
Maximum4910
Range4862
Interquartile range (IQR)605

Descriptive statistics

Standard deviation897.35972
Coefficient of variation (CV)1.1903248
Kurtosis11.053996
Mean753.87805
Median Absolute Deviation (MAD)281
Skewness2.9587492
Sum30909
Variance805254.46
MonotonicityNot monotonic
2023-12-12T22:46:40.862797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
535 1
 
2.4%
1118 1
 
2.4%
561 1
 
2.4%
530 1
 
2.4%
636 1
 
2.4%
602 1
 
2.4%
641 1
 
2.4%
680 1
 
2.4%
858 1
 
2.4%
920 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
48 1
2.4%
60 1
2.4%
99 1
2.4%
147 1
2.4%
195 1
2.4%
196 1
2.4%
213 1
2.4%
218 1
2.4%
221 1
2.4%
244 1
2.4%
ValueCountFrequency (%)
4910 1
2.4%
2509 1
2.4%
2242 1
2.4%
2067 1
2.4%
1765 1
2.4%
1584 1
2.4%
1118 1
2.4%
1069 1
2.4%
1055 1
2.4%
920 1
2.4%

2008
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean900.82927
Minimum43
Maximum6791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:40.976544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile98
Q1245
median569
Q3988
95-th percentile2548
Maximum6791
Range6748
Interquartile range (IQR)743

Descriptive statistics

Standard deviation1166.0369
Coefficient of variation (CV)1.2944039
Kurtosis16.173785
Mean900.82927
Median Absolute Deviation (MAD)347
Skewness3.559738
Sum36934
Variance1359642
MonotonicityNot monotonic
2023-12-12T22:46:41.092284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
804 1
 
2.4%
1381 1
 
2.4%
558 1
 
2.4%
661 1
 
2.4%
650 1
 
2.4%
703 1
 
2.4%
867 1
 
2.4%
916 1
 
2.4%
1011 1
 
2.4%
1361 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
43 1
2.4%
62 1
2.4%
98 1
2.4%
193 1
2.4%
197 1
2.4%
207 1
2.4%
213 1
2.4%
220 1
2.4%
223 1
2.4%
225 1
2.4%
ValueCountFrequency (%)
6791 1
2.4%
2896 1
2.4%
2548 1
2.4%
2173 1
2.4%
1964 1
2.4%
1575 1
2.4%
1492 1
2.4%
1381 1
2.4%
1361 1
2.4%
1011 1
2.4%

2009
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.19512
Minimum44
Maximum4149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:41.212037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile72
Q1194
median358
Q3627
95-th percentile1597
Maximum4149
Range4105
Interquartile range (IQR)433

Descriptive statistics

Standard deviation745.03883
Coefficient of variation (CV)1.2580969
Kurtosis12.863339
Mean592.19512
Median Absolute Deviation (MAD)182
Skewness3.233511
Sum24280
Variance555082.86
MonotonicityNot monotonic
2023-12-12T22:46:41.325759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
558 1
 
2.4%
719 1
 
2.4%
298 1
 
2.4%
362 1
 
2.4%
382 1
 
2.4%
349 1
 
2.4%
420 1
 
2.4%
497 1
 
2.4%
527 1
 
2.4%
627 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
44 1
2.4%
54 1
2.4%
72 1
2.4%
129 1
2.4%
150 1
2.4%
154 1
2.4%
161 1
2.4%
172 1
2.4%
176 1
2.4%
190 1
2.4%
ValueCountFrequency (%)
4149 1
2.4%
2254 1
2.4%
1597 1
2.4%
1458 1
2.4%
1410 1
2.4%
1407 1
2.4%
868 1
2.4%
725 1
2.4%
719 1
2.4%
706 1
2.4%

2010
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.56098
Minimum48
Maximum5089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:41.436738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile100
Q1216
median500
Q3799
95-th percentile2557
Maximum5089
Range5041
Interquartile range (IQR)583

Descriptive statistics

Standard deviation934.85076
Coefficient of variation (CV)1.2761405
Kurtosis11.572952
Mean732.56098
Median Absolute Deviation (MAD)299
Skewness3.0954038
Sum30035
Variance873945.95
MonotonicityNot monotonic
2023-12-12T22:46:41.548225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
191 2
 
4.9%
555 1
 
2.4%
499 1
 
2.4%
588 1
 
2.4%
505 1
 
2.4%
512 1
 
2.4%
519 1
 
2.4%
648 1
 
2.4%
799 1
 
2.4%
833 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
48 1
2.4%
59 1
2.4%
100 1
2.4%
174 1
2.4%
191 2
4.9%
196 1
2.4%
197 1
2.4%
198 1
2.4%
200 1
2.4%
216 1
2.4%
ValueCountFrequency (%)
5089 1
2.4%
2569 1
2.4%
2557 1
2.4%
2124 1
2.4%
1765 1
2.4%
1474 1
2.4%
983 1
2.4%
847 1
2.4%
846 1
2.4%
833 1
2.4%

2011
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean638.12195
Minimum141
Maximum2815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:41.657400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile159
Q1229
median432
Q3759
95-th percentile1578
Maximum2815
Range2674
Interquartile range (IQR)530

Descriptive statistics

Standard deviation592.94971
Coefficient of variation (CV)0.92921065
Kurtosis6.2917076
Mean638.12195
Median Absolute Deviation (MAD)245
Skewness2.3537386
Sum26163
Variance351589.36
MonotonicityNot monotonic
2023-12-12T22:46:41.768072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
177 2
 
4.9%
759 1
 
2.4%
378 1
 
2.4%
388 1
 
2.4%
382 1
 
2.4%
373 1
 
2.4%
419 1
 
2.4%
472 1
 
2.4%
609 1
 
2.4%
687 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
141 1
2.4%
156 1
2.4%
159 1
2.4%
164 1
2.4%
177 2
4.9%
187 1
2.4%
191 1
2.4%
196 1
2.4%
205 1
2.4%
229 1
2.4%
ValueCountFrequency (%)
2815 1
2.4%
2650 1
2.4%
1578 1
2.4%
1354 1
2.4%
1151 1
2.4%
993 1
2.4%
986 1
2.4%
968 1
2.4%
947 1
2.4%
798 1
2.4%

2012
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean863.60976
Minimum215
Maximum2851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:41.870597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile244
Q1307
median612
Q3989
95-th percentile2665
Maximum2851
Range2636
Interquartile range (IQR)682

Descriptive statistics

Standard deviation724.54458
Coefficient of variation (CV)0.8389722
Kurtosis1.4252641
Mean863.60976
Median Absolute Deviation (MAD)319
Skewness1.4894363
Sum35408
Variance524964.84
MonotonicityNot monotonic
2023-12-12T22:46:41.988312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
632 2
 
4.9%
875 1
 
2.4%
501 1
 
2.4%
612 1
 
2.4%
536 1
 
2.4%
570 1
 
2.4%
736 1
 
2.4%
630 1
 
2.4%
755 1
 
2.4%
868 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
215 1
2.4%
235 1
2.4%
244 1
2.4%
262 1
2.4%
263 1
2.4%
266 1
2.4%
268 1
2.4%
276 1
2.4%
292 1
2.4%
293 1
2.4%
ValueCountFrequency (%)
2851 1
2.4%
2741 1
2.4%
2665 1
2.4%
2002 1
2.4%
1795 1
2.4%
1737 1
2.4%
1706 1
2.4%
1623 1
2.4%
1487 1
2.4%
1133 1
2.4%

2013
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean716.19512
Minimum140
Maximum2375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:42.122526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile162
Q1240
median471
Q3892
95-th percentile2278
Maximum2375
Range2235
Interquartile range (IQR)652

Descriptive statistics

Standard deviation643.08838
Coefficient of variation (CV)0.89792343
Kurtosis0.8367511
Mean716.19512
Median Absolute Deviation (MAD)272
Skewness1.3423934
Sum29364
Variance413562.66
MonotonicityNot monotonic
2023-12-12T22:46:42.245133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
287 2
 
4.9%
795 1
 
2.4%
892 1
 
2.4%
411 1
 
2.4%
360 1
 
2.4%
597 1
 
2.4%
492 1
 
2.4%
579 1
 
2.4%
581 1
 
2.4%
696 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
140 1
2.4%
153 1
2.4%
162 1
2.4%
169 1
2.4%
170 1
2.4%
172 1
2.4%
188 1
2.4%
199 1
2.4%
206 1
2.4%
207 1
2.4%
ValueCountFrequency (%)
2375 1
2.4%
2303 1
2.4%
2278 1
2.4%
1800 1
2.4%
1626 1
2.4%
1448 1
2.4%
1411 1
2.4%
1377 1
2.4%
1351 1
2.4%
1245 1
2.4%

2014
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1073.4146
Minimum122
Maximum4061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:42.358171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile155
Q1255
median611
Q31256
95-th percentile3446
Maximum4061
Range3939
Interquartile range (IQR)1001

Descriptive statistics

Standard deviation1120.8035
Coefficient of variation (CV)1.0441478
Kurtosis0.74452535
Mean1073.4146
Median Absolute Deviation (MAD)426
Skewness1.3685489
Sum44010
Variance1256200.4
MonotonicityNot monotonic
2023-12-12T22:46:42.726394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
778 1
 
2.4%
1128 1
 
2.4%
517 1
 
2.4%
611 1
 
2.4%
666 1
 
2.4%
732 1
 
2.4%
1014 1
 
2.4%
933 1
 
2.4%
967 1
 
2.4%
1101 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122 1
2.4%
132 1
2.4%
155 1
2.4%
170 1
2.4%
175 1
2.4%
182 1
2.4%
183 1
2.4%
185 1
2.4%
189 1
2.4%
222 1
2.4%
ValueCountFrequency (%)
4061 1
2.4%
3617 1
2.4%
3446 1
2.4%
3422 1
2.4%
2878 1
2.4%
2628 1
2.4%
2573 1
2.4%
2188 1
2.4%
1761 1
2.4%
1709 1
2.4%

2015
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean983.90244
Minimum120
Maximum4089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:42.874328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile155
Q1201
median523
Q31306
95-th percentile3160
Maximum4089
Range3969
Interquartile range (IQR)1105

Descriptive statistics

Standard deviation1044.5909
Coefficient of variation (CV)1.0616814
Kurtosis1.2784094
Mean983.90244
Median Absolute Deviation (MAD)363
Skewness1.4831581
Sum40340
Variance1091170.2
MonotonicityNot monotonic
2023-12-12T22:46:43.006471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3160 2
 
4.9%
587 1
 
2.4%
974 1
 
2.4%
507 1
 
2.4%
508 1
 
2.4%
603 1
 
2.4%
649 1
 
2.4%
997 1
 
2.4%
978 1
 
2.4%
972 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
120 1
2.4%
145 1
2.4%
155 1
2.4%
157 1
2.4%
160 1
2.4%
161 1
2.4%
169 1
2.4%
172 1
2.4%
177 1
2.4%
185 1
2.4%
ValueCountFrequency (%)
4089 1
2.4%
3176 1
2.4%
3160 2
4.9%
2725 1
2.4%
2448 1
2.4%
2259 1
2.4%
2037 1
2.4%
1347 1
2.4%
1321 1
2.4%
1306 1
2.4%

2016
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean936.53659
Minimum128
Maximum3062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:43.167213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile155
Q1220
median570
Q31408
95-th percentile2589
Maximum3062
Range2934
Interquartile range (IQR)1188

Descriptive statistics

Standard deviation861.33763
Coefficient of variation (CV)0.91970526
Kurtosis-0.048870742
Mean936.53659
Median Absolute Deviation (MAD)404
Skewness1.040972
Sum38398
Variance741902.5
MonotonicityNot monotonic
2023-12-12T22:46:43.291589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1004 1
 
2.4%
1277 1
 
2.4%
410 1
 
2.4%
525 1
 
2.4%
570 1
 
2.4%
639 1
 
2.4%
824 1
 
2.4%
1259 1
 
2.4%
1240 1
 
2.4%
1186 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
128 1
2.4%
149 1
2.4%
155 1
2.4%
162 1
2.4%
166 1
2.4%
181 1
2.4%
182 1
2.4%
185 1
2.4%
190 1
2.4%
198 1
2.4%
ValueCountFrequency (%)
3062 1
2.4%
2828 1
2.4%
2589 1
2.4%
2515 1
2.4%
2360 1
2.4%
2183 1
2.4%
2038 1
2.4%
1787 1
2.4%
1448 1
2.4%
1445 1
2.4%

2017
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean903.87805
Minimum152
Maximum3133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:43.417241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile154
Q1214
median469
Q31275
95-th percentile2797
Maximum3133
Range2981
Interquartile range (IQR)1061

Descriptive statistics

Standard deviation889.61003
Coefficient of variation (CV)0.98421467
Kurtosis0.71542122
Mean903.87805
Median Absolute Deviation (MAD)303
Skewness1.2980456
Sum37059
Variance791406.01
MonotonicityNot monotonic
2023-12-12T22:46:43.546172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
154 2
 
4.9%
731 1
 
2.4%
1275 1
 
2.4%
456 1
 
2.4%
587 1
 
2.4%
606 1
 
2.4%
692 1
 
2.4%
1184 1
 
2.4%
1208 1
 
2.4%
1265 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
152 1
2.4%
154 2
4.9%
161 1
2.4%
164 1
2.4%
167 1
2.4%
178 1
2.4%
187 1
2.4%
199 1
2.4%
205 1
2.4%
214 1
2.4%
ValueCountFrequency (%)
3133 1
2.4%
3129 1
2.4%
2797 1
2.4%
2794 1
2.4%
2274 1
2.4%
2065 1
2.4%
1749 1
2.4%
1564 1
2.4%
1365 1
2.4%
1325 1
2.4%

2018
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean919.7561
Minimum113
Maximum3591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:43.687569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile141
Q1220
median504
Q31420
95-th percentile2735
Maximum3591
Range3478
Interquartile range (IQR)1200

Descriptive statistics

Standard deviation908.71962
Coefficient of variation (CV)0.98800064
Kurtosis1.4336214
Mean919.7561
Median Absolute Deviation (MAD)354
Skewness1.4167953
Sum37710
Variance825771.34
MonotonicityNot monotonic
2023-12-12T22:46:43.816355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
220 2
 
4.9%
951 1
 
2.4%
415 1
 
2.4%
482 1
 
2.4%
639 1
 
2.4%
656 1
 
2.4%
890 1
 
2.4%
1420 1
 
2.4%
1411 1
 
2.4%
1568 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
113 1
2.4%
139 1
2.4%
141 1
2.4%
150 1
2.4%
177 1
2.4%
187 1
2.4%
192 1
2.4%
201 1
2.4%
208 1
2.4%
220 2
4.9%
ValueCountFrequency (%)
3591 1
2.4%
3349 1
2.4%
2735 1
2.4%
2346 1
2.4%
2123 1
2.4%
1923 1
2.4%
1771 1
2.4%
1721 1
2.4%
1568 1
2.4%
1491 1
2.4%

2019
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean970.26829
Minimum132
Maximum4038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:43.945191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile141
Q1196
median497
Q31769
95-th percentile2306
Maximum4038
Range3906
Interquartile range (IQR)1573

Descriptive statistics

Standard deviation933.06956
Coefficient of variation (CV)0.96166139
Kurtosis1.0564315
Mean970.26829
Median Absolute Deviation (MAD)337
Skewness1.1531057
Sum39781
Variance870618.8
MonotonicityNot monotonic
2023-12-12T22:46:44.079379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
157 2
 
4.9%
1769 1
 
2.4%
1685 1
 
2.4%
418 1
 
2.4%
422 1
 
2.4%
497 1
 
2.4%
659 1
 
2.4%
643 1
 
2.4%
1526 1
 
2.4%
1607 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
132 1
2.4%
136 1
2.4%
141 1
2.4%
157 2
4.9%
160 1
2.4%
162 1
2.4%
182 1
2.4%
186 1
2.4%
195 1
2.4%
196 1
2.4%
ValueCountFrequency (%)
4038 1
2.4%
2336 1
2.4%
2306 1
2.4%
2158 1
2.4%
2096 1
2.4%
2070 1
2.4%
2048 1
2.4%
2018 1
2.4%
1976 1
2.4%
1939 1
2.4%

2020
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1154.122
Minimum142
Maximum5280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:44.214545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum142
5-th percentile193
Q1234
median603
Q32120
95-th percentile2961
Maximum5280
Range5138
Interquartile range (IQR)1886

Descriptive statistics

Standard deviation1206.7439
Coefficient of variation (CV)1.0455948
Kurtosis2.4694239
Mean1154.122
Median Absolute Deviation (MAD)389
Skewness1.5695542
Sum47319
Variance1456230.8
MonotonicityNot monotonic
2023-12-12T22:46:44.339872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
221 2
 
4.9%
1610 1
 
2.4%
2133 1
 
2.4%
403 1
 
2.4%
504 1
 
2.4%
497 1
 
2.4%
644 1
 
2.4%
813 1
 
2.4%
1113 1
 
2.4%
1940 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
142 1
2.4%
172 1
2.4%
193 1
2.4%
200 1
2.4%
210 1
2.4%
214 1
2.4%
221 2
4.9%
222 1
2.4%
227 1
2.4%
234 1
2.4%
ValueCountFrequency (%)
5280 1
2.4%
4199 1
2.4%
2961 1
2.4%
2522 1
2.4%
2504 1
2.4%
2482 1
2.4%
2424 1
2.4%
2278 1
2.4%
2269 1
2.4%
2133 1
2.4%

2021
Real number (ℝ)

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1089.6585
Minimum159
Maximum3285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:44.458695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile218
Q1269
median547
Q32081
95-th percentile2826
Maximum3285
Range3126
Interquartile range (IQR)1812

Descriptive statistics

Standard deviation982.56078
Coefficient of variation (CV)0.90171438
Kurtosis-0.89255178
Mean1089.6585
Median Absolute Deviation (MAD)309
Skewness0.79400053
Sum44676
Variance965425.68
MonotonicityNot monotonic
2023-12-12T22:46:44.568738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
282 2
 
4.9%
805 2
 
4.9%
433 2
 
4.9%
238 2
 
4.9%
2826 1
 
2.4%
517 1
 
2.4%
547 1
 
2.4%
670 1
 
2.4%
1584 1
 
2.4%
2091 1
 
2.4%
Other values (27) 27
65.9%
ValueCountFrequency (%)
159 1
2.4%
187 1
2.4%
218 1
2.4%
231 1
2.4%
238 2
4.9%
243 1
2.4%
249 1
2.4%
255 1
2.4%
263 1
2.4%
269 1
2.4%
ValueCountFrequency (%)
3285 1
2.4%
2973 1
2.4%
2826 1
2.4%
2723 1
2.4%
2574 1
2.4%
2419 1
2.4%
2191 1
2.4%
2165 1
2.4%
2137 1
2.4%
2091 1
2.4%

2022(계)
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1341.2927
Minimum205
Maximum6533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:44.717932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205
5-th percentile283
Q1333
median640
Q32249
95-th percentile3584
Maximum6533
Range6328
Interquartile range (IQR)1916

Descriptive statistics

Standard deviation1399.1382
Coefficient of variation (CV)1.0431267
Kurtosis3.2716655
Mean1341.2927
Median Absolute Deviation (MAD)333
Skewness1.6879379
Sum54993
Variance1957587.8
MonotonicityNot monotonic
2023-12-12T22:46:44.854960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
641 2
 
4.9%
3123 1
 
2.4%
2894 1
 
2.4%
307 1
 
2.4%
381 1
 
2.4%
492 1
 
2.4%
575 1
 
2.4%
720 1
 
2.4%
863 1
 
2.4%
1498 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
205 1
2.4%
255 1
2.4%
283 1
2.4%
294 1
2.4%
307 1
2.4%
308 1
2.4%
310 1
2.4%
314 1
2.4%
322 1
2.4%
332 1
2.4%
ValueCountFrequency (%)
6533 1
2.4%
3706 1
2.4%
3584 1
2.4%
3538 1
2.4%
3123 1
2.4%
3120 1
2.4%
2894 1
2.4%
2644 1
2.4%
2473 1
2.4%
2305 1
2.4%

2022(남)
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean860.26829
Minimum133
Maximum4994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:44.987022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile157
Q1206
median403
Q31389
95-th percentile2468
Maximum4994
Range4861
Interquartile range (IQR)1183

Descriptive statistics

Standard deviation975.6289
Coefficient of variation (CV)1.1340984
Kurtosis6.9490993
Mean860.26829
Median Absolute Deviation (MAD)232
Skewness2.2801793
Sum35271
Variance951851.75
MonotonicityNot monotonic
2023-12-12T22:46:45.117644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1515 1
 
2.4%
1468 1
 
2.4%
208 1
 
2.4%
259 1
 
2.4%
306 1
 
2.4%
378 1
 
2.4%
449 1
 
2.4%
540 1
 
2.4%
640 1
 
2.4%
1004 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
133 1
2.4%
153 1
2.4%
157 1
2.4%
159 1
2.4%
171 1
2.4%
184 1
2.4%
187 1
2.4%
198 1
2.4%
199 1
2.4%
204 1
2.4%
ValueCountFrequency (%)
4994 1
2.4%
2616 1
2.4%
2468 1
2.4%
2086 1
2.4%
1890 1
2.4%
1863 1
2.4%
1788 1
2.4%
1678 1
2.4%
1515 1
2.4%
1468 1
2.4%

2022(여)
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481.02439
Minimum72
Maximum1918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T22:46:45.252478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile96
Q1143
median197
Q3627
95-th percentile1608
Maximum1918
Range1846
Interquartile range (IQR)484

Descriptive statistics

Standard deviation505.38582
Coefficient of variation (CV)1.0506449
Kurtosis1.3769955
Mean481.02439
Median Absolute Deviation (MAD)87
Skewness1.5210851
Sum19722
Variance255414.82
MonotonicityNot monotonic
2023-12-12T22:46:45.384673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
96 2
 
4.9%
1608 1
 
2.4%
122 1
 
2.4%
186 1
 
2.4%
197 1
 
2.4%
192 1
 
2.4%
180 1
 
2.4%
223 1
 
2.4%
494 1
 
2.4%
734 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
72 1
2.4%
96 2
4.9%
99 1
2.4%
110 1
2.4%
112 1
2.4%
122 1
2.4%
127 1
2.4%
139 1
2.4%
141 1
2.4%
143 1
2.4%
ValueCountFrequency (%)
1918 1
2.4%
1731 1
2.4%
1608 1
2.4%
1539 1
2.4%
1145 1
2.4%
1116 1
2.4%
1004 1
2.4%
922 1
2.4%
810 1
2.4%
734 1
2.4%

Sample

구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022(계)2022(남)2022(여)
01년미만00000000000000000006457486727207276265358045585555838757957785871004731951176916102723312315151608
11년이상0000000000000000000125813671502192517851794176515751407147413541737162617091321144811441227152429612574312013891731
22년000000000000000000096295485987481295783998886884773789970198480891077286580613672165224911041145
33년0000000000000000000229621101867203822942293250925482254256928152665230321882037218320652123204825042419358424681116
44년222891674115399115408563836093088927101631166112372123431145811077959082826813119551908111639146356515015725028967258467028064934575235984695045168168121245725520
55년00000000000000000007467435114553283804025244695075435924714664054034325534897108051020589431
66년0000000000000000000664554497529282274289358304356355413287298236270217278256401450641403238
77년0000000000000000000654435422603315252254300309322310430293297247287205258254372433550356194
88년0000000000000000000638420327447359290221276241270277421287257227244214208302422345478332146
99년6527831588827458619853695462450849895436584555616388646348083994466596178997628406315391263216196193207197229326206222185162164139141172231322212110
구분19821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022(계)2022(남)2022(여)
3131년00000000000000000006965556507749931023111813817198336878687831128101312771275156816852133209122021468734
3232년00000019921502170118981327188319612921261429656837113254902853555965947105411011055149270698375998989212561347140813251491197624242137289418901004
3333년000000156624592775278137054968579671296122788015092250028871415896416402563377634554910679141495089115126823753004692515285359123066032973537261276
3434년000000000000000000001674188321712280241422422896145821249932741273406140893842794371209652802826653349941539
3535년00000000000000000000134019181882170627132067217314102557986148714112628244814451564172119392522219135382616922
3636년000000000000000000002493665205888211069959521587947162314483446272517871749177120182482208126442086558
3737년000000000000000000008199117128148147197129174968170613513617316023602274192320702269187924731863610
3838년0000000000000000000045807575103999872100798179513772878317630623133234621582120174723051678627
3939년00000000000000000000294140544948434459662113312452573225925892797273523362278166919561146810
4040년0000000000000000000040545943686062544826502851227834223160282831293349403841993285370617881918