Overview

Dataset statistics

Number of variables44
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory397.9 B

Variable types

Categorical3
Numeric41

Dataset

Description직종별(정무직, 별정직, 국가직, 경찰, 소방, 교육 등) 급여심의회 심의 추이(가결)에 대한 데이터입니다. 1983년부터 시작됩니다.
URLhttps://www.data.go.kr/data/15054087/fileData.do

Alerts

합계 has unique valuesUnique
1983 has 4 (14.8%) zerosZeros
1984 has 3 (11.1%) zerosZeros
1985 has 3 (11.1%) zerosZeros
1986 has 4 (14.8%) zerosZeros
1987 has 1 (3.7%) zerosZeros
1988 has 5 (18.5%) zerosZeros
1989 has 3 (11.1%) zerosZeros
1990 has 5 (18.5%) zerosZeros
1991 has 2 (7.4%) zerosZeros
1992 has 3 (11.1%) zerosZeros
1993 has 2 (7.4%) zerosZeros
1994 has 5 (18.5%) zerosZeros
1995 has 1 (3.7%) zerosZeros
1996 has 4 (14.8%) zerosZeros
1997 has 2 (7.4%) zerosZeros
1998 has 2 (7.4%) zerosZeros
1999 has 3 (11.1%) zerosZeros
2000 has 2 (7.4%) zerosZeros
2001 has 2 (7.4%) zerosZeros
2002 has 3 (11.1%) zerosZeros
2003 has 4 (14.8%) zerosZeros
2004 has 2 (7.4%) zerosZeros
2005 has 3 (11.1%) zerosZeros
2006 has 5 (18.5%) zerosZeros
2007 has 5 (18.5%) zerosZeros
2008 has 6 (22.2%) zerosZeros
2009 has 5 (18.5%) zerosZeros
2010 has 6 (22.2%) zerosZeros
2011 has 5 (18.5%) zerosZeros
2012 has 6 (22.2%) zerosZeros
2013 has 8 (29.6%) zerosZeros
2014 has 10 (37.0%) zerosZeros
2015 has 11 (40.7%) zerosZeros
2016 has 9 (33.3%) zerosZeros
2017 has 11 (40.7%) zerosZeros
2018 has 9 (33.3%) zerosZeros
2019 has 12 (44.4%) zerosZeros
2020 has 13 (48.1%) zerosZeros
2021 has 10 (37.0%) zerosZeros
2022 has 8 (29.6%) zerosZeros

Reproduction

Analysis started2023-12-12 01:32:50.582357
Analysis finished2023-12-12 01:32:50.996778
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct8
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Memory size348.0 B
일반직
별정직
경찰
교육직
법관
Other values (3)

Length

Max length3
Median length3
Mean length2.7777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row별정직
2nd row별정직
3rd row별정직
4th row일반직
5th row일반직

Common Values

ValueCountFrequency (%)
일반직 6
22.2%
별정직 3
11.1%
경찰 3
11.1%
교육직 3
11.1%
법관 3
11.1%
기능직 3
11.1%
고용직 3
11.1%
기타직 3
11.1%

Length

2023-12-12T10:32:51.083669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:51.238050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반직 6
22.2%
별정직 3
11.1%
경찰 3
11.1%
교육직 3
11.1%
법관 3
11.1%
기능직 3
11.1%
고용직 3
11.1%
기타직 3
11.1%

직종구분
Categorical

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
별정직
국가
지방
소방
교육직
Other values (4)
12 

Length

Max length3
Median length3
Mean length2.5555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row별정직
2nd row별정직
3rd row별정직
4th row국가
5th row국가

Common Values

ValueCountFrequency (%)
별정직 3
11.1%
국가 3
11.1%
지방 3
11.1%
소방 3
11.1%
교육직 3
11.1%
검사 3
11.1%
기능직 3
11.1%
고용직 3
11.1%
기타직 3
11.1%

Length

2023-12-12T10:32:51.441213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:51.637954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
별정직 3
11.1%
국가 3
11.1%
지방 3
11.1%
소방 3
11.1%
교육직 3
11.1%
검사 3
11.1%
기능직 3
11.1%
고용직 3
11.1%
기타직 3
11.1%

항목
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
유족보상
공무상요양
장해급여

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유족보상
2nd row공무상요양
3rd row장해급여
4th row유족보상
5th row공무상요양

Common Values

ValueCountFrequency (%)
유족보상 9
33.3%
공무상요양 9
33.3%
장해급여 9
33.3%

Length

2023-12-12T10:32:51.815236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:32:51.953217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유족보상 9
33.3%
공무상요양 9
33.3%
장해급여 9
33.3%

합계
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6119.7037
Minimum3
Maximum64670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:52.101305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33
Q1466
median1158
Q32522.5
95-th percentile22251.2
Maximum64670
Range64667
Interquartile range (IQR)2056.5

Descriptive statistics

Standard deviation13312.72
Coefficient of variation (CV)2.1753864
Kurtosis14.977996
Mean6119.7037
Median Absolute Deviation (MAD)899
Skewness3.6301248
Sum165232
Variance1.7722852 × 108
MonotonicityNot monotonic
2023-12-12T10:32:52.255573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
259 1
 
3.7%
1158 1
 
3.7%
548 1
 
3.7%
12267 1
 
3.7%
530 1
 
3.7%
93 1
 
3.7%
2665 1
 
3.7%
402 1
 
3.7%
2380 1
 
3.7%
23543 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
3 1
3.7%
21 1
3.7%
61 1
3.7%
93 1
3.7%
193 1
3.7%
259 1
3.7%
402 1
3.7%
530 1
3.7%
548 1
3.7%
634 1
3.7%
ValueCountFrequency (%)
64670 1
3.7%
23543 1
3.7%
19237 1
3.7%
14985 1
3.7%
12267 1
3.7%
10236 1
3.7%
2665 1
3.7%
2380 1
3.7%
2005 1
3.7%
1688 1
3.7%

1983
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.814815
Minimum0
Maximum232
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:52.422205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median16
Q355.5
95-th percentile183.9
Maximum232
Range232
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation63.303322
Coefficient of variation (CV)1.352207
Kurtosis2.4026701
Mean46.814815
Median Absolute Deviation (MAD)16
Skewness1.7506301
Sum1264
Variance4007.3105
MonotonicityNot monotonic
2023-12-12T10:32:52.584165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 4
 
14.8%
6 2
 
7.4%
16 1
 
3.7%
68 1
 
3.7%
1 1
 
3.7%
9 1
 
3.7%
3 1
 
3.7%
151 1
 
3.7%
27 1
 
3.7%
24 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 4
14.8%
1 1
 
3.7%
3 1
 
3.7%
6 2
7.4%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
13 1
 
3.7%
15 1
 
3.7%
16 1
 
3.7%
ValueCountFrequency (%)
232 1
3.7%
198 1
3.7%
151 1
3.7%
122 1
3.7%
117 1
3.7%
68 1
3.7%
56 1
3.7%
55 1
3.7%
52 1
3.7%
49 1
3.7%

1984
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.592593
Minimum0
Maximum285
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:52.743160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q355.5
95-th percentile234.4
Maximum285
Range285
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation79.725133
Coefficient of variation (CV)1.5159004
Kurtosis2.8994021
Mean52.592593
Median Absolute Deviation (MAD)12
Skewness1.9300738
Sum1420
Variance6356.0969
MonotonicityNot monotonic
2023-12-12T10:32:52.930108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
11.1%
1 2
 
7.4%
11 2
 
7.4%
7 1
 
3.7%
94 1
 
3.7%
8 1
 
3.7%
6 1
 
3.7%
175 1
 
3.7%
29 1
 
3.7%
256 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 3
11.1%
1 2
7.4%
2 1
 
3.7%
3 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
11 2
7.4%
12 1
 
3.7%
ValueCountFrequency (%)
285 1
3.7%
256 1
3.7%
184 1
3.7%
175 1
3.7%
94 1
3.7%
86 1
3.7%
60 1
3.7%
51 1
3.7%
44 1
3.7%
40 1
3.7%

1985
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.296296
Minimum0
Maximum328
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:53.073335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median23
Q351.5
95-th percentile247.6
Maximum328
Range328
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation92.101873
Coefficient of variation (CV)1.455091
Kurtosis2.0468458
Mean63.296296
Median Absolute Deviation (MAD)22
Skewness1.7598898
Sum1709
Variance8482.755
MonotonicityNot monotonic
2023-12-12T10:32:53.245187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
11.1%
1 2
 
7.4%
5 2
 
7.4%
9 1
 
3.7%
135 1
 
3.7%
21 1
 
3.7%
4 1
 
3.7%
235 1
 
3.7%
29 1
 
3.7%
27 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 3
11.1%
1 2
7.4%
4 1
 
3.7%
5 2
7.4%
8 1
 
3.7%
9 1
 
3.7%
11 1
 
3.7%
20 1
 
3.7%
21 1
 
3.7%
23 1
 
3.7%
ValueCountFrequency (%)
328 1
3.7%
253 1
3.7%
235 1
3.7%
231 1
3.7%
135 1
3.7%
125 1
3.7%
52 1
3.7%
51 1
3.7%
49 1
3.7%
46 1
3.7%

1986
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.481481
Minimum0
Maximum353
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:53.410612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median23
Q344.5
95-th percentile298.7
Maximum353
Range353
Interquartile range (IQR)39

Descriptive statistics

Standard deviation104.18341
Coefficient of variation (CV)1.5910362
Kurtosis2.2484285
Mean65.481481
Median Absolute Deviation (MAD)20
Skewness1.8872658
Sum1768
Variance10854.182
MonotonicityNot monotonic
2023-12-12T10:32:53.564323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4
 
14.8%
10 1
 
3.7%
159 1
 
3.7%
2 1
 
3.7%
29 1
 
3.7%
20 1
 
3.7%
6 1
 
3.7%
270 1
 
3.7%
25 1
 
3.7%
40 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 4
14.8%
2 1
 
3.7%
3 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
7 1
 
3.7%
10 1
 
3.7%
14 1
 
3.7%
16 1
 
3.7%
20 1
 
3.7%
ValueCountFrequency (%)
353 1
3.7%
311 1
3.7%
270 1
3.7%
252 1
3.7%
159 1
3.7%
59 1
3.7%
45 1
3.7%
44 1
3.7%
42 1
3.7%
40 1
3.7%

1987
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.333333
Minimum0
Maximum436
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:53.730381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median27
Q382
95-th percentile369
Maximum436
Range436
Interquartile range (IQR)76

Descriptive statistics

Standard deviation126.20374
Coefficient of variation (CV)1.532839
Kurtosis2.4430928
Mean82.333333
Median Absolute Deviation (MAD)25
Skewness1.8837855
Sum2223
Variance15927.385
MonotonicityNot monotonic
2023-12-12T10:32:53.886250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 2
 
7.4%
2 2
 
7.4%
6 2
 
7.4%
12 2
 
7.4%
13 1
 
3.7%
35 1
 
3.7%
5 1
 
3.7%
313 1
 
3.7%
27 1
 
3.7%
85 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 1
3.7%
1 2
7.4%
2 2
7.4%
5 1
3.7%
6 2
7.4%
11 1
3.7%
12 2
7.4%
13 1
3.7%
21 1
3.7%
27 1
3.7%
ValueCountFrequency (%)
436 1
3.7%
393 1
3.7%
313 1
3.7%
298 1
3.7%
174 1
3.7%
90 1
3.7%
85 1
3.7%
79 1
3.7%
67 1
3.7%
55 1
3.7%

1988
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.111111
Minimum0
Maximum474
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:53.991369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median39
Q382
95-th percentile378
Maximum474
Range474
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation125.98759
Coefficient of variation (CV)1.4802719
Kurtosis3.9402786
Mean85.111111
Median Absolute Deviation (MAD)36
Skewness2.112029
Sum2298
Variance15872.872
MonotonicityNot monotonic
2023-12-12T10:32:54.113145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 5
18.5%
14 2
 
7.4%
67 1
 
3.7%
71 1
 
3.7%
13 1
 
3.7%
245 1
 
3.7%
57 1
 
3.7%
100 1
 
3.7%
280 1
 
3.7%
62 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 5
18.5%
3 1
 
3.7%
4 1
 
3.7%
5 1
 
3.7%
13 1
 
3.7%
14 2
 
7.4%
18 1
 
3.7%
35 1
 
3.7%
39 1
 
3.7%
57 1
 
3.7%
ValueCountFrequency (%)
474 1
3.7%
420 1
3.7%
280 1
3.7%
245 1
3.7%
140 1
3.7%
100 1
3.7%
89 1
3.7%
75 1
3.7%
73 1
3.7%
71 1
3.7%

1989
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.81481
Minimum0
Maximum930
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:54.226443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median20
Q368.5
95-th percentile490.6
Maximum930
Range930
Interquartile range (IQR)63

Descriptive statistics

Standard deviation211.6672
Coefficient of variation (CV)1.8597508
Kurtosis8.4827729
Mean113.81481
Median Absolute Deviation (MAD)20
Skewness2.7863478
Sum3073
Variance44803.003
MonotonicityNot monotonic
2023-12-12T10:32:54.341432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
11.1%
7 2
 
7.4%
1 2
 
7.4%
20 1
 
3.7%
4 1
 
3.7%
310 1
 
3.7%
44 1
 
3.7%
30 1
 
3.7%
568 1
 
3.7%
60 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 3
11.1%
1 2
7.4%
2 1
 
3.7%
4 1
 
3.7%
7 2
7.4%
8 1
 
3.7%
10 1
 
3.7%
17 1
 
3.7%
19 1
 
3.7%
20 1
 
3.7%
ValueCountFrequency (%)
930 1
3.7%
568 1
3.7%
310 1
3.7%
282 1
3.7%
262 1
3.7%
244 1
3.7%
69 1
3.7%
68 1
3.7%
62 1
3.7%
60 1
3.7%

1990
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.03704
Minimum0
Maximum858
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:54.460522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median25
Q379
95-th percentile451.6
Maximum858
Range858
Interquartile range (IQR)72

Descriptive statistics

Standard deviation194.01893
Coefficient of variation (CV)1.7793856
Kurtosis8.508433
Mean109.03704
Median Absolute Deviation (MAD)25
Skewness2.7790161
Sum2944
Variance37643.345
MonotonicityNot monotonic
2023-12-12T10:32:54.586925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5
18.5%
9 2
 
7.4%
79 2
 
7.4%
224 1
 
3.7%
5 1
 
3.7%
285 1
 
3.7%
48 1
 
3.7%
40 1
 
3.7%
523 1
 
3.7%
61 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 5
18.5%
3 1
 
3.7%
5 1
 
3.7%
9 2
 
7.4%
11 1
 
3.7%
13 1
 
3.7%
19 1
 
3.7%
22 1
 
3.7%
25 1
 
3.7%
40 1
 
3.7%
ValueCountFrequency (%)
858 1
3.7%
523 1
3.7%
285 1
3.7%
265 1
3.7%
242 1
3.7%
224 1
3.7%
79 2
7.4%
69 1
3.7%
61 1
3.7%
55 1
3.7%

1991
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.11111
Minimum0
Maximum842
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:54.712978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q17.5
median35
Q383
95-th percentile670.7
Maximum842
Range842
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation220.31592
Coefficient of variation (CV)1.9651568
Kurtosis8.2519976
Mean112.11111
Median Absolute Deviation (MAD)33
Skewness2.9636921
Sum3027
Variance48539.103
MonotonicityNot monotonic
2023-12-12T10:32:54.836406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7 3
 
11.1%
35 2
 
7.4%
8 2
 
7.4%
0 2
 
7.4%
18 1
 
3.7%
224 1
 
3.7%
97 1
 
3.7%
25 1
 
3.7%
80 1
 
3.7%
842 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 2
7.4%
2 1
 
3.7%
6 1
 
3.7%
7 3
11.1%
8 2
7.4%
10 1
 
3.7%
14 1
 
3.7%
18 1
 
3.7%
25 1
 
3.7%
35 2
7.4%
ValueCountFrequency (%)
842 1
3.7%
839 1
3.7%
278 1
3.7%
224 1
3.7%
118 1
3.7%
97 1
3.7%
86 1
3.7%
80 1
3.7%
76 1
3.7%
74 1
3.7%

1992
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.81481
Minimum0
Maximum827
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:54.967953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median24
Q381
95-th percentile637.2
Maximum827
Range827
Interquartile range (IQR)73

Descriptive statistics

Standard deviation213.70865
Coefficient of variation (CV)1.8776875
Kurtosis7.3018694
Mean113.81481
Median Absolute Deviation (MAD)24
Skewness2.7850165
Sum3073
Variance45671.387
MonotonicityNot monotonic
2023-12-12T10:32:55.101461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
11.1%
6 2
 
7.4%
81 2
 
7.4%
13 1
 
3.7%
304 1
 
3.7%
4 1
 
3.7%
18 1
 
3.7%
57 1
 
3.7%
827 1
 
3.7%
114 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 3
11.1%
2 1
 
3.7%
4 1
 
3.7%
6 2
7.4%
10 1
 
3.7%
12 1
 
3.7%
13 1
 
3.7%
18 1
 
3.7%
19 1
 
3.7%
21 1
 
3.7%
ValueCountFrequency (%)
827 1
3.7%
780 1
3.7%
304 1
3.7%
294 1
3.7%
123 1
3.7%
114 1
3.7%
81 2
7.4%
78 1
3.7%
71 1
3.7%
66 1
3.7%

1993
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.18519
Minimum0
Maximum1042
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:55.252253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q17
median44
Q395.5
95-th percentile690
Maximum1042
Range1042
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation250.6843
Coefficient of variation (CV)1.9556418
Kurtosis8.5520647
Mean128.18519
Median Absolute Deviation (MAD)39
Skewness2.9696755
Sum3461
Variance62842.618
MonotonicityNot monotonic
2023-12-12T10:32:55.404950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 2
 
7.4%
0 2
 
7.4%
1 2
 
7.4%
23 2
 
7.4%
20 1
 
3.7%
319 1
 
3.7%
96 1
 
3.7%
2 1
 
3.7%
69 1
 
3.7%
49 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
2 1
3.7%
5 2
7.4%
9 1
3.7%
15 1
3.7%
20 1
3.7%
22 1
3.7%
23 2
7.4%
44 1
3.7%
ValueCountFrequency (%)
1042 1
3.7%
849 1
3.7%
319 1
3.7%
305 1
3.7%
139 1
3.7%
98 1
3.7%
96 1
3.7%
95 1
3.7%
78 1
3.7%
77 1
3.7%

1994
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.222222
Minimum0
Maximum474
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:55.538314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median50
Q395
95-th percentile378
Maximum474
Range474
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation125.43718
Coefficient of variation (CV)1.4058962
Kurtosis3.7475746
Mean89.222222
Median Absolute Deviation (MAD)46
Skewness2.0374567
Sum2409
Variance15734.487
MonotonicityNot monotonic
2023-12-12T10:32:55.683623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5
18.5%
4 2
 
7.4%
14 2
 
7.4%
50 1
 
3.7%
140 1
 
3.7%
71 1
 
3.7%
17 1
 
3.7%
245 1
 
3.7%
73 1
 
3.7%
100 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 5
18.5%
4 2
 
7.4%
5 1
 
3.7%
14 2
 
7.4%
17 1
 
3.7%
18 1
 
3.7%
35 1
 
3.7%
50 1
 
3.7%
71 1
 
3.7%
73 1
 
3.7%
ValueCountFrequency (%)
474 1
3.7%
420 1
3.7%
280 1
3.7%
245 1
3.7%
140 1
3.7%
100 1
3.7%
97 1
3.7%
93 1
3.7%
89 1
3.7%
86 1
3.7%

1995
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.14815
Minimum0
Maximum992
Zeros1
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:55.896862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q116.5
median30
Q3105.5
95-th percentile761.3
Maximum992
Range992
Interquartile range (IQR)89

Descriptive statistics

Standard deviation253.97133
Coefficient of variation (CV)1.9074342
Kurtosis8.1976594
Mean133.14815
Median Absolute Deviation (MAD)28
Skewness2.9489243
Sum3595
Variance64501.439
MonotonicityNot monotonic
2023-12-12T10:32:56.066649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 2
 
7.4%
2 2
 
7.4%
30 2
 
7.4%
27 2
 
7.4%
18 1
 
3.7%
321 1
 
3.7%
101 1
 
3.7%
107 1
 
3.7%
992 1
 
3.7%
130 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 1
3.7%
2 2
7.4%
4 1
3.7%
5 2
7.4%
15 1
3.7%
18 1
3.7%
20 1
3.7%
24 1
3.7%
27 2
7.4%
30 2
7.4%
ValueCountFrequency (%)
992 1
3.7%
950 1
3.7%
321 1
3.7%
275 1
3.7%
130 1
3.7%
114 1
3.7%
107 1
3.7%
104 1
3.7%
101 1
3.7%
94 1
3.7%

1996
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144
Minimum0
Maximum1084
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:56.228311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median35
Q3107.5
95-th percentile837.5
Maximum1084
Range1084
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation280.01854
Coefficient of variation (CV)1.9445732
Kurtosis7.9834906
Mean144
Median Absolute Deviation (MAD)35
Skewness2.9134877
Sum3888
Variance78410.385
MonotonicityNot monotonic
2023-12-12T10:32:56.394342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
14.8%
135 2
 
7.4%
9 2
 
7.4%
26 1
 
3.7%
358 1
 
3.7%
111 1
 
3.7%
30 1
 
3.7%
23 1
 
3.7%
8 1
 
3.7%
56 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 4
14.8%
8 1
 
3.7%
9 2
7.4%
13 1
 
3.7%
18 1
 
3.7%
21 1
 
3.7%
23 1
 
3.7%
26 1
 
3.7%
30 1
 
3.7%
35 1
 
3.7%
ValueCountFrequency (%)
1084 1
3.7%
1043 1
3.7%
358 1
3.7%
332 1
3.7%
135 2
7.4%
111 1
3.7%
104 1
3.7%
101 1
3.7%
99 1
3.7%
85 1
3.7%

1997
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.07407
Minimum0
Maximum1123
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:56.885469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q114.5
median40
Q3111
95-th percentile876.7
Maximum1123
Range1123
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation290.85906
Coefficient of variation (CV)1.9252745
Kurtosis7.7967222
Mean151.07407
Median Absolute Deviation (MAD)39
Skewness2.8810821
Sum4079
Variance84598.994
MonotonicityNot monotonic
2023-12-12T10:32:57.036174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
23 2
 
7.4%
15 2
 
7.4%
40 2
 
7.4%
0 2
 
7.4%
1 1
 
3.7%
9 1
 
3.7%
142 1
 
3.7%
30 1
 
3.7%
5 1
 
3.7%
69 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 2
7.4%
1 1
3.7%
2 1
3.7%
5 1
3.7%
9 1
3.7%
14 1
3.7%
15 2
7.4%
23 2
7.4%
30 1
3.7%
40 2
7.4%
ValueCountFrequency (%)
1123 1
3.7%
1081 1
3.7%
400 1
3.7%
345 1
3.7%
149 1
3.7%
142 1
3.7%
115 1
3.7%
107 1
3.7%
102 1
3.7%
95 1
3.7%

1998
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.03704
Minimum0
Maximum1173
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:57.200878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q114.5
median32
Q3109.5
95-th percentile799.1
Maximum1173
Range1173
Interquartile range (IQR)95

Descriptive statistics

Standard deviation285.16439
Coefficient of variation (CV)1.9936402
Kurtosis8.5715618
Mean143.03704
Median Absolute Deviation (MAD)31
Skewness2.9872774
Sum3862
Variance81318.729
MonotonicityNot monotonic
2023-12-12T10:32:57.366698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
16 2
 
7.4%
1 2
 
7.4%
0 2
 
7.4%
13 1
 
3.7%
370 1
 
3.7%
10 1
 
3.7%
140 1
 
3.7%
19 1
 
3.7%
2 1
 
3.7%
130 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
2 1
3.7%
10 1
3.7%
13 1
3.7%
16 2
7.4%
18 1
3.7%
19 1
3.7%
30 1
3.7%
31 1
3.7%
ValueCountFrequency (%)
1173 1
3.7%
983 1
3.7%
370 1
3.7%
307 1
3.7%
146 1
3.7%
140 1
3.7%
130 1
3.7%
89 1
3.7%
86 1
3.7%
77 1
3.7%

1999
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.81481
Minimum0
Maximum1133
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:57.512783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median38
Q3102
95-th percentile686
Maximum1133
Range1133
Interquartile range (IQR)87

Descriptive statistics

Standard deviation262.35825
Coefficient of variation (CV)1.9176158
Kurtosis8.9431154
Mean136.81481
Median Absolute Deviation (MAD)35
Skewness2.9762307
Sum3694
Variance68831.849
MonotonicityNot monotonic
2023-12-12T10:32:57.695997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3
 
11.1%
73 2
 
7.4%
21 1
 
3.7%
385 1
 
3.7%
14 1
 
3.7%
123 1
 
3.7%
10 1
 
3.7%
16 1
 
3.7%
1 1
 
3.7%
149 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 3
11.1%
1 1
 
3.7%
2 1
 
3.7%
10 1
 
3.7%
14 1
 
3.7%
16 1
 
3.7%
21 1
 
3.7%
25 1
 
3.7%
29 1
 
3.7%
32 1
 
3.7%
ValueCountFrequency (%)
1133 1
3.7%
815 1
3.7%
385 1
3.7%
322 1
3.7%
162 1
3.7%
149 1
3.7%
123 1
3.7%
81 1
3.7%
73 2
7.4%
65 1
3.7%

2000
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.74074
Minimum0
Maximum1273
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:57.867849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q112.5
median33
Q373.5
95-th percentile751.9
Maximum1273
Range1273
Interquartile range (IQR)61

Descriptive statistics

Standard deviation293.11255
Coefficient of variation (CV)2.0679485
Kurtosis9.5898838
Mean141.74074
Median Absolute Deviation (MAD)30
Skewness3.0892106
Sum3827
Variance85914.969
MonotonicityNot monotonic
2023-12-12T10:32:58.040265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
30 2
 
7.4%
0 2
 
7.4%
10 1
 
3.7%
1 1
 
3.7%
11 1
 
3.7%
126 1
 
3.7%
17 1
 
3.7%
25 1
 
3.7%
2 1
 
3.7%
82 1
 
3.7%
Other values (15) 15
55.6%
ValueCountFrequency (%)
0 2
7.4%
1 1
3.7%
2 1
3.7%
3 1
3.7%
10 1
3.7%
11 1
3.7%
14 1
3.7%
17 1
3.7%
25 1
3.7%
26 1
3.7%
ValueCountFrequency (%)
1273 1
3.7%
898 1
3.7%
411 1
3.7%
328 1
3.7%
157 1
3.7%
126 1
3.7%
82 1
3.7%
65 1
3.7%
64 1
3.7%
62 1
3.7%

2001
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.14815
Minimum0
Maximum1488
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:58.203132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q114
median32
Q368.5
95-th percentile834.7
Maximum1488
Range1488
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation339.13563
Coefficient of variation (CV)2.1718838
Kurtosis10.093553
Mean156.14815
Median Absolute Deviation (MAD)27
Skewness3.1504401
Sum4216
Variance115012.98
MonotonicityNot monotonic
2023-12-12T10:32:58.366232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 3
 
11.1%
14 2
 
7.4%
1 2
 
7.4%
0 2
 
7.4%
9 1
 
3.7%
20 1
 
3.7%
158 1
 
3.7%
5 1
 
3.7%
32 1
 
3.7%
72 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
5 1
 
3.7%
9 1
 
3.7%
14 2
7.4%
16 3
11.1%
20 1
 
3.7%
30 1
 
3.7%
32 1
 
3.7%
47 1
 
3.7%
ValueCountFrequency (%)
1488 1
3.7%
1003 1
3.7%
442 1
3.7%
398 1
3.7%
158 1
3.7%
150 1
3.7%
72 1
3.7%
65 1
3.7%
61 1
3.7%
55 1
3.7%

2002
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.22222
Minimum0
Maximum1347
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:58.519027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median27
Q365
95-th percentile786.2
Maximum1347
Range1347
Interquartile range (IQR)55

Descriptive statistics

Standard deviation311.01303
Coefficient of variation (CV)2.1269888
Kurtosis9.4659035
Mean146.22222
Median Absolute Deviation (MAD)24
Skewness3.0552126
Sum3948
Variance96729.103
MonotonicityNot monotonic
2023-12-12T10:32:58.698706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3
 
11.1%
3 2
 
7.4%
439 1
 
3.7%
21 1
 
3.7%
226 1
 
3.7%
27 1
 
3.7%
25 1
 
3.7%
2 1
 
3.7%
71 1
 
3.7%
935 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 3
11.1%
2 1
 
3.7%
3 2
7.4%
8 1
 
3.7%
12 1
 
3.7%
16 1
 
3.7%
19 1
 
3.7%
21 1
 
3.7%
22 1
 
3.7%
25 1
 
3.7%
ValueCountFrequency (%)
1347 1
3.7%
935 1
3.7%
439 1
3.7%
334 1
3.7%
226 1
3.7%
165 1
3.7%
71 1
3.7%
59 1
3.7%
52 1
3.7%
48 1
3.7%

2003
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.62963
Minimum0
Maximum1700
Zeros4
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:58.875804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median31
Q365
95-th percentile855.2
Maximum1700
Range1700
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation374.98925
Coefficient of variation (CV)2.2370105
Kurtosis11.441047
Mean167.62963
Median Absolute Deviation (MAD)25
Skewness3.2936218
Sum4526
Variance140616.93
MonotonicityNot monotonic
2023-12-12T10:32:59.089543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
14.8%
51 2
 
7.4%
26 2
 
7.4%
34 1
 
3.7%
20 1
 
3.7%
243 1
 
3.7%
25 1
 
3.7%
15 1
 
3.7%
79 1
 
3.7%
1013 1
 
3.7%
Other values (12) 12
44.4%
ValueCountFrequency (%)
0 4
14.8%
1 1
 
3.7%
2 1
 
3.7%
6 1
 
3.7%
13 1
 
3.7%
15 1
 
3.7%
20 1
 
3.7%
25 1
 
3.7%
26 2
7.4%
31 1
 
3.7%
ValueCountFrequency (%)
1700 1
3.7%
1013 1
3.7%
487 1
3.7%
388 1
3.7%
243 1
3.7%
168 1
3.7%
79 1
3.7%
51 2
7.4%
50 1
3.7%
49 1
3.7%

2004
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.33333
Minimum0
Maximum1775
Zeros2
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:59.246880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q18.5
median27
Q365.5
95-th percentile846.5
Maximum1775
Range1775
Interquartile range (IQR)57

Descriptive statistics

Standard deviation387.97383
Coefficient of variation (CV)2.2644387
Kurtosis11.80811
Mean171.33333
Median Absolute Deviation (MAD)24
Skewness3.3161538
Sum4626
Variance150523.69
MonotonicityNot monotonic
2023-12-12T10:32:59.398064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
44 2
 
7.4%
0 2
 
7.4%
1 2
 
7.4%
3 1
 
3.7%
500 1
 
3.7%
27 1
 
3.7%
328 1
 
3.7%
23 1
 
3.7%
14 1
 
3.7%
2 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
0 2
7.4%
1 2
7.4%
2 1
3.7%
3 1
3.7%
6 1
3.7%
11 1
3.7%
12 1
3.7%
14 1
3.7%
18 1
3.7%
19 1
3.7%
ValueCountFrequency (%)
1775 1
3.7%
995 1
3.7%
500 1
3.7%
407 1
3.7%
328 1
3.7%
152 1
3.7%
67 1
3.7%
64 1
3.7%
44 2
7.4%
41 1
3.7%

2005
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.85185
Minimum0
Maximum1948
Zeros3
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:59.561233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median28
Q3156
95-th percentile778.8
Maximum1948
Range1948
Interquartile range (IQR)153.5

Descriptive statistics

Standard deviation409.878
Coefficient of variation (CV)2.2415852
Kurtosis13.793418
Mean182.85185
Median Absolute Deviation (MAD)27
Skewness3.5125616
Sum4937
Variance167999.98
MonotonicityNot monotonic
2023-12-12T10:32:59.757925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3
 
11.1%
1 3
 
11.1%
496 1
 
3.7%
13 1
 
3.7%
244 1
 
3.7%
15 1
 
3.7%
3 1
 
3.7%
413 1
 
3.7%
900 1
 
3.7%
29 1
 
3.7%
Other values (13) 13
48.1%
ValueCountFrequency (%)
0 3
11.1%
1 3
11.1%
2 1
 
3.7%
3 1
 
3.7%
5 1
 
3.7%
11 1
 
3.7%
13 1
 
3.7%
15 1
 
3.7%
16 1
 
3.7%
28 1
 
3.7%
ValueCountFrequency (%)
1948 1
3.7%
900 1
3.7%
496 1
3.7%
413 1
3.7%
354 1
3.7%
244 1
3.7%
219 1
3.7%
93 1
3.7%
51 1
3.7%
33 1
3.7%

2006
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.85185
Minimum0
Maximum2128
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:32:59.904421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median13
Q383
95-th percentile749.6
Maximum2128
Range2128
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation436.94708
Coefficient of variation (CV)2.54258
Kurtosis16.455877
Mean171.85185
Median Absolute Deviation (MAD)13
Skewness3.8812128
Sum4640
Variance190922.75
MonotonicityNot monotonic
2023-12-12T10:33:00.032173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 5
18.5%
12 3
 
11.1%
1 2
 
7.4%
39 2
 
7.4%
436 1
 
3.7%
14 1
 
3.7%
186 1
 
3.7%
6 1
 
3.7%
111 1
 
3.7%
884 1
 
3.7%
Other values (9) 9
33.3%
ValueCountFrequency (%)
0 5
18.5%
1 2
 
7.4%
2 1
 
3.7%
5 1
 
3.7%
6 1
 
3.7%
12 3
11.1%
13 1
 
3.7%
14 1
 
3.7%
28 1
 
3.7%
39 2
 
7.4%
ValueCountFrequency (%)
2128 1
3.7%
884 1
3.7%
436 1
3.7%
396 1
3.7%
220 1
3.7%
186 1
3.7%
111 1
3.7%
55 1
3.7%
40 1
3.7%
39 2
7.4%

2007
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.7037
Minimum0
Maximum2148
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:00.172267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median18
Q363
95-th percentile809
Maximum2148
Range2148
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation446.01145
Coefficient of variation (CV)2.5529593
Kurtosis15.634348
Mean174.7037
Median Absolute Deviation (MAD)18
Skewness3.7846464
Sum4717
Variance198926.22
MonotonicityNot monotonic
2023-12-12T10:33:00.316714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5
18.5%
2 2
 
7.4%
18 2
 
7.4%
11 1
 
3.7%
10 1
 
3.7%
217 1
 
3.7%
9 1
 
3.7%
73 1
 
3.7%
935 1
 
3.7%
515 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 5
18.5%
2 2
 
7.4%
5 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
10 1
 
3.7%
11 1
 
3.7%
18 2
 
7.4%
20 1
 
3.7%
ValueCountFrequency (%)
2148 1
3.7%
935 1
3.7%
515 1
3.7%
382 1
3.7%
217 1
3.7%
193 1
3.7%
73 1
3.7%
53 1
3.7%
38 1
3.7%
32 1
3.7%

2008
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.51852
Minimum0
Maximum2302
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:00.478625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median16
Q367.5
95-th percentile826.6
Maximum2302
Range2302
Interquartile range (IQR)66

Descriptive statistics

Standard deviation474.02916
Coefficient of variation (CV)2.5690059
Kurtosis16.259551
Mean184.51852
Median Absolute Deviation (MAD)16
Skewness3.8519783
Sum4982
Variance224703.64
MonotonicityNot monotonic
2023-12-12T10:33:00.632867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6
22.2%
4 2
 
7.4%
16 1
 
3.7%
5 1
 
3.7%
221 1
 
3.7%
2 1
 
3.7%
74 1
 
3.7%
934 1
 
3.7%
14 1
 
3.7%
22 1
 
3.7%
Other values (11) 11
40.7%
ValueCountFrequency (%)
0 6
22.2%
1 1
 
3.7%
2 1
 
3.7%
4 2
 
7.4%
5 1
 
3.7%
13 1
 
3.7%
14 1
 
3.7%
16 1
 
3.7%
20 1
 
3.7%
22 1
 
3.7%
ValueCountFrequency (%)
2302 1
3.7%
934 1
3.7%
576 1
3.7%
372 1
3.7%
238 1
3.7%
221 1
3.7%
74 1
3.7%
61 1
3.7%
38 1
3.7%
37 1
3.7%

2009
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.37037
Minimum0
Maximum2479
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:00.776567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q353
95-th percentile804.9
Maximum2479
Range2479
Interquartile range (IQR)51

Descriptive statistics

Standard deviation503.68581
Coefficient of variation (CV)2.7026067
Kurtosis17.688776
Mean186.37037
Median Absolute Deviation (MAD)14
Skewness4.0317003
Sum5032
Variance253699.4
MonotonicityNot monotonic
2023-12-12T10:33:00.958834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
18.5%
2 2
 
7.4%
10 2
 
7.4%
14 2
 
7.4%
1 1
 
3.7%
9 1
 
3.7%
7 1
 
3.7%
278 1
 
3.7%
64 1
 
3.7%
942 1
 
3.7%
Other values (10) 10
37.0%
ValueCountFrequency (%)
0 5
18.5%
1 1
 
3.7%
2 2
 
7.4%
6 1
 
3.7%
7 1
 
3.7%
9 1
 
3.7%
10 2
 
7.4%
14 2
 
7.4%
16 1
 
3.7%
19 1
 
3.7%
ValueCountFrequency (%)
2479 1
3.7%
942 1
3.7%
485 1
3.7%
367 1
3.7%
278 1
3.7%
213 1
3.7%
64 1
3.7%
42 1
3.7%
30 1
3.7%
22 1
3.7%

2010
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.11111
Minimum0
Maximum2327
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:01.100430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q331
95-th percentile768.9
Maximum2327
Range2327
Interquartile range (IQR)30

Descriptive statistics

Standard deviation474.19465
Coefficient of variation (CV)2.7392502
Kurtosis17.493909
Mean173.11111
Median Absolute Deviation (MAD)10
Skewness4.0042239
Sum4674
Variance224860.56
MonotonicityNot monotonic
2023-12-12T10:33:01.210023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
22.2%
17 2
 
7.4%
9 2
 
7.4%
1 2
 
7.4%
31 2
 
7.4%
3 2
 
7.4%
10 1
 
3.7%
258 1
 
3.7%
19 1
 
3.7%
2327 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 6
22.2%
1 2
 
7.4%
3 2
 
7.4%
5 1
 
3.7%
9 2
 
7.4%
10 1
 
3.7%
15 1
 
3.7%
16 1
 
3.7%
17 2
 
7.4%
19 1
 
3.7%
ValueCountFrequency (%)
2327 1
3.7%
855 1
3.7%
568 1
3.7%
271 1
3.7%
258 1
3.7%
208 1
3.7%
31 2
7.4%
19 1
3.7%
17 2
7.4%
16 1
3.7%

2011
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.22222
Minimum0
Maximum2510
Zeros5
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:01.319315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q334
95-th percentile780.7
Maximum2510
Range2510
Interquartile range (IQR)32

Descriptive statistics

Standard deviation513.40712
Coefficient of variation (CV)2.7422339
Kurtosis17.107479
Mean187.22222
Median Absolute Deviation (MAD)10
Skewness3.938542
Sum5055
Variance263586.87
MonotonicityNot monotonic
2023-12-12T10:33:01.446501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5
18.5%
9 3
 
11.1%
2 3
 
11.1%
13 2
 
7.4%
1 1
 
3.7%
10 1
 
3.7%
265 1
 
3.7%
32 1
 
3.7%
838 1
 
3.7%
550 1
 
3.7%
Other values (8) 8
29.6%
ValueCountFrequency (%)
0 5
18.5%
1 1
 
3.7%
2 3
11.1%
5 1
 
3.7%
9 3
11.1%
10 1
 
3.7%
13 2
 
7.4%
14 1
 
3.7%
23 1
 
3.7%
25 1
 
3.7%
ValueCountFrequency (%)
2510 1
3.7%
838 1
3.7%
647 1
3.7%
550 1
3.7%
265 1
3.7%
40 1
3.7%
36 1
3.7%
32 1
3.7%
25 1
3.7%
23 1
3.7%

2012
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.85185
Minimum0
Maximum2524
Zeros6
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:01.565865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q325
95-th percentile835.4
Maximum2524
Range2524
Interquartile range (IQR)24

Descriptive statistics

Standard deviation525.15497
Coefficient of variation (CV)2.69515
Kurtosis15.613705
Mean194.85185
Median Absolute Deviation (MAD)6
Skewness3.7495195
Sum5261
Variance275787.75
MonotonicityNot monotonic
2023-12-12T10:33:01.702972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
22.2%
25 3
11.1%
1 2
 
7.4%
3 2
 
7.4%
5 2
 
7.4%
669 1
 
3.7%
6 1
 
3.7%
265 1
 
3.7%
884 1
 
3.7%
9 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 6
22.2%
1 2
 
7.4%
2 1
 
3.7%
3 2
 
7.4%
5 2
 
7.4%
6 1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
18 1
 
3.7%
21 1
 
3.7%
ValueCountFrequency (%)
2524 1
 
3.7%
884 1
 
3.7%
722 1
 
3.7%
669 1
 
3.7%
265 1
 
3.7%
40 1
 
3.7%
25 3
11.1%
21 1
 
3.7%
18 1
 
3.7%
9 1
 
3.7%

2013
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.62963
Minimum0
Maximum2487
Zeros8
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:01.856472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q328
95-th percentile861.5
Maximum2487
Range2487
Interquartile range (IQR)28

Descriptive statistics

Standard deviation524.08221
Coefficient of variation (CV)2.5737031
Kurtosis14.364146
Mean203.62963
Median Absolute Deviation (MAD)11
Skewness3.5779498
Sum5498
Variance274662.17
MonotonicityNot monotonic
2023-12-12T10:33:02.005542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8
29.6%
12 2
 
7.4%
28 2
 
7.4%
11 2
 
7.4%
4 1
 
3.7%
26 1
 
3.7%
449 1
 
3.7%
863 1
 
3.7%
6 1
 
3.7%
858 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 8
29.6%
1 1
 
3.7%
3 1
 
3.7%
4 1
 
3.7%
6 1
 
3.7%
11 2
 
7.4%
12 2
 
7.4%
18 1
 
3.7%
22 1
 
3.7%
26 1
 
3.7%
ValueCountFrequency (%)
2487 1
3.7%
863 1
3.7%
858 1
3.7%
623 1
3.7%
449 1
3.7%
36 1
3.7%
28 2
7.4%
26 1
3.7%
22 1
3.7%
18 1
3.7%

2014
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.11111
Minimum0
Maximum2479
Zeros10
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:02.125722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q336.5
95-th percentile787.5
Maximum2479
Range2479
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation513.29181
Coefficient of variation (CV)2.818564
Kurtosis16.271165
Mean182.11111
Median Absolute Deviation (MAD)5
Skewness3.8423211
Sum4917
Variance263468.49
MonotonicityNot monotonic
2023-12-12T10:33:02.243260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 10
37.0%
4 2
 
7.4%
2 1
 
3.7%
28 1
 
3.7%
662 1
 
3.7%
6 1
 
3.7%
11 1
 
3.7%
56 1
 
3.7%
5 1
 
3.7%
672 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 10
37.0%
2 1
 
3.7%
4 2
 
7.4%
5 1
 
3.7%
6 1
 
3.7%
11 1
 
3.7%
12 1
 
3.7%
20 1
 
3.7%
24 1
 
3.7%
28 1
 
3.7%
ValueCountFrequency (%)
2479 1
3.7%
837 1
3.7%
672 1
3.7%
662 1
3.7%
56 1
3.7%
50 1
3.7%
45 1
3.7%
28 1
3.7%
24 1
3.7%
20 1
3.7%

2015
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.88889
Minimum0
Maximum2347
Zeros11
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:02.362139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327
95-th percentile944.2
Maximum2347
Range2347
Interquartile range (IQR)27

Descriptive statistics

Standard deviation507.16401
Coefficient of variation (CV)2.6849859
Kurtosis12.998658
Mean188.88889
Median Absolute Deviation (MAD)4
Skewness3.4448629
Sum5100
Variance257215.33
MonotonicityNot monotonic
2023-12-12T10:33:02.467257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
40.7%
8 2
 
7.4%
828 1
 
3.7%
29 1
 
3.7%
678 1
 
3.7%
21 1
 
3.7%
4 1
 
3.7%
17 1
 
3.7%
53 1
 
3.7%
2 1
 
3.7%
Other values (6) 6
22.2%
ValueCountFrequency (%)
0 11
40.7%
2 1
 
3.7%
3 1
 
3.7%
4 1
 
3.7%
8 2
 
7.4%
17 1
 
3.7%
21 1
 
3.7%
24 1
 
3.7%
25 1
 
3.7%
29 1
 
3.7%
ValueCountFrequency (%)
2347 1
3.7%
994 1
3.7%
828 1
3.7%
678 1
3.7%
59 1
3.7%
53 1
3.7%
29 1
3.7%
25 1
3.7%
24 1
3.7%
21 1
3.7%

2016
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.07407
Minimum0
Maximum2583
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:02.576693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q330
95-th percentile985.6
Maximum2583
Range2583
Interquartile range (IQR)30

Descriptive statistics

Standard deviation552.45229
Coefficient of variation (CV)2.7475063
Kurtosis13.78688
Mean201.07407
Median Absolute Deviation (MAD)3
Skewness3.5424119
Sum5429
Variance305203.53
MonotonicityNot monotonic
2023-12-12T10:33:02.687666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
33.3%
2 3
 
11.1%
1 1
 
3.7%
812 1
 
3.7%
36 1
 
3.7%
752 1
 
3.7%
10 1
 
3.7%
14 1
 
3.7%
15 1
 
3.7%
5 1
 
3.7%
Other values (7) 7
25.9%
ValueCountFrequency (%)
0 9
33.3%
1 1
 
3.7%
2 3
 
11.1%
3 1
 
3.7%
5 1
 
3.7%
10 1
 
3.7%
14 1
 
3.7%
15 1
 
3.7%
23 1
 
3.7%
24 1
 
3.7%
ValueCountFrequency (%)
2583 1
3.7%
1060 1
3.7%
812 1
3.7%
752 1
3.7%
44 1
3.7%
41 1
3.7%
36 1
3.7%
24 1
3.7%
23 1
3.7%
15 1
3.7%

2017
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.51852
Minimum0
Maximum2643
Zeros11
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:02.800742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q331
95-th percentile954.6
Maximum2643
Range2643
Interquartile range (IQR)31

Descriptive statistics

Standard deviation564.03835
Coefficient of variation (CV)2.7311757
Kurtosis13.85984
Mean206.51852
Median Absolute Deviation (MAD)7
Skewness3.5441019
Sum5576
Variance318139.26
MonotonicityNot monotonic
2023-12-12T10:33:02.924050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 11
40.7%
8 2
 
7.4%
25 2
 
7.4%
1 2
 
7.4%
24 1
 
3.7%
942 1
 
3.7%
37 1
 
3.7%
2643 1
 
3.7%
50 1
 
3.7%
960 1
 
3.7%
Other values (4) 4
 
14.8%
ValueCountFrequency (%)
0 11
40.7%
1 2
 
7.4%
7 1
 
3.7%
8 2
 
7.4%
16 1
 
3.7%
24 1
 
3.7%
25 2
 
7.4%
37 1
 
3.7%
41 1
 
3.7%
50 1
 
3.7%
ValueCountFrequency (%)
2643 1
3.7%
960 1
3.7%
942 1
3.7%
788 1
3.7%
50 1
3.7%
41 1
3.7%
37 1
3.7%
25 2
7.4%
24 1
3.7%
16 1
3.7%

2018
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.92593
Minimum0
Maximum2856
Zeros9
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:03.029492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328.5
95-th percentile1046.8
Maximum2856
Range2856
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation613.73848
Coefficient of variation (CV)2.7286249
Kurtosis13.384431
Mean224.92593
Median Absolute Deviation (MAD)3
Skewness3.4841237
Sum6073
Variance376674.92
MonotonicityNot monotonic
2023-12-12T10:33:03.134864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 9
33.3%
3 3
 
11.1%
1 3
 
11.1%
25 1
 
3.7%
948 1
 
3.7%
51 1
 
3.7%
24 1
 
3.7%
2856 1
 
3.7%
44 1
 
3.7%
5 1
 
3.7%
Other values (5) 5
18.5%
ValueCountFrequency (%)
0 9
33.3%
1 3
 
11.1%
3 3
 
11.1%
5 1
 
3.7%
9 1
 
3.7%
23 1
 
3.7%
24 1
 
3.7%
25 1
 
3.7%
32 1
 
3.7%
44 1
 
3.7%
ValueCountFrequency (%)
2856 1
3.7%
1084 1
3.7%
960 1
3.7%
948 1
3.7%
51 1
3.7%
44 1
3.7%
32 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%

2019
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.25926
Minimum0
Maximum2927
Zeros12
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:03.254518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q333.5
95-th percentile1082.7
Maximum2927
Range2927
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation631.20261
Coefficient of variation (CV)2.7060131
Kurtosis13.108896
Mean233.25926
Median Absolute Deviation (MAD)1
Skewness3.4489164
Sum6298
Variance398416.74
MonotonicityNot monotonic
2023-12-12T10:33:03.381992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
44.4%
1 2
 
7.4%
8 1
 
3.7%
28 1
 
3.7%
1033 1
 
3.7%
39 1
 
3.7%
22 1
 
3.7%
2927 1
 
3.7%
70 1
 
3.7%
4 1
 
3.7%
Other values (5) 5
18.5%
ValueCountFrequency (%)
0 12
44.4%
1 2
 
7.4%
4 1
 
3.7%
8 1
 
3.7%
14 1
 
3.7%
21 1
 
3.7%
22 1
 
3.7%
28 1
 
3.7%
39 1
 
3.7%
44 1
 
3.7%
ValueCountFrequency (%)
2927 1
3.7%
1104 1
3.7%
1033 1
3.7%
982 1
3.7%
70 1
3.7%
44 1
3.7%
39 1
3.7%
28 1
3.7%
22 1
3.7%
21 1
3.7%

2020
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.66667
Minimum0
Maximum3095
Zeros13
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:03.543242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329.5
95-th percentile1141.5
Maximum3095
Range3095
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation659.43251
Coefficient of variation (CV)2.7400243
Kurtosis14.001956
Mean240.66667
Median Absolute Deviation (MAD)2
Skewness3.563436
Sum6498
Variance434851.23
MonotonicityNot monotonic
2023-12-12T10:33:03.681308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 13
48.1%
5 2
 
7.4%
24 1
 
3.7%
1068 1
 
3.7%
83 1
 
3.7%
30 1
 
3.7%
3095 1
 
3.7%
89 1
 
3.7%
870 1
 
3.7%
15 1
 
3.7%
Other values (4) 4
 
14.8%
ValueCountFrequency (%)
0 13
48.1%
2 1
 
3.7%
5 2
 
7.4%
10 1
 
3.7%
15 1
 
3.7%
24 1
 
3.7%
29 1
 
3.7%
30 1
 
3.7%
83 1
 
3.7%
89 1
 
3.7%
ValueCountFrequency (%)
3095 1
3.7%
1173 1
3.7%
1068 1
3.7%
870 1
3.7%
89 1
3.7%
83 1
3.7%
30 1
3.7%
29 1
3.7%
24 1
3.7%
15 1
3.7%

2021
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.40741
Minimum0
Maximum2417
Zeros10
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:03.811940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q345
95-th percentile1092.5
Maximum2417
Range2417
Interquartile range (IQR)45

Descriptive statistics

Standard deviation533.19424
Coefficient of variation (CV)2.5462052
Kurtosis11.63312
Mean209.40741
Median Absolute Deviation (MAD)5
Skewness3.2821962
Sum5654
Variance284296.1
MonotonicityNot monotonic
2023-12-12T10:33:03.966893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 10
37.0%
10 2
 
7.4%
1 2
 
7.4%
100 1
 
3.7%
37 1
 
3.7%
1223 1
 
3.7%
5 1
 
3.7%
788 1
 
3.7%
3 1
 
3.7%
25 1
 
3.7%
Other values (6) 6
22.2%
ValueCountFrequency (%)
0 10
37.0%
1 2
 
7.4%
3 1
 
3.7%
5 1
 
3.7%
7 1
 
3.7%
10 2
 
7.4%
25 1
 
3.7%
27 1
 
3.7%
37 1
 
3.7%
53 1
 
3.7%
ValueCountFrequency (%)
2417 1
3.7%
1223 1
3.7%
788 1
3.7%
750 1
3.7%
197 1
3.7%
100 1
3.7%
53 1
3.7%
37 1
3.7%
27 1
3.7%
25 1
3.7%

2022
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.77778
Minimum0
Maximum2662
Zeros8
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T10:33:04.104244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q342.5
95-th percentile1187.6
Maximum2662
Range2662
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation576.81495
Coefficient of variation (CV)2.6126495
Kurtosis12.914846
Mean220.77778
Median Absolute Deviation (MAD)5
Skewness3.4614688
Sum5961
Variance332715.49
MonotonicityNot monotonic
2023-12-12T10:33:04.239932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8
29.6%
1 2
 
7.4%
5 2
 
7.4%
118 1
 
3.7%
8 1
 
3.7%
248 1
 
3.7%
7 1
 
3.7%
2 1
 
3.7%
4 1
 
3.7%
874 1
 
3.7%
Other values (8) 8
29.6%
ValueCountFrequency (%)
0 8
29.6%
1 2
 
7.4%
2 1
 
3.7%
4 1
 
3.7%
5 2
 
7.4%
7 1
 
3.7%
8 1
 
3.7%
24 1
 
3.7%
27 1
 
3.7%
32 1
 
3.7%
ValueCountFrequency (%)
2662 1
3.7%
1322 1
3.7%
874 1
3.7%
536 1
3.7%
248 1
3.7%
118 1
3.7%
44 1
3.7%
41 1
3.7%
32 1
3.7%
27 1
3.7%

Sample

구분직종구분항목합계1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
0별정직별정직유족보상2591679101337918132041826231321109003012010110001000000
1별정직별정직공무상요양115813172023283520196062953566851027773644912261951211132216131811223838515
2별정직별정직장해급여19302102023665015131516253314866115120201000010001
3일반직국가유족보상1088566040162139485535214450405345312926162226111158463252118202523242528241024
4일반직국가공무상요양14985117184253457989262242118123139891141351491461621571501651681522192201932382132716477226238379941060942948103310681971322
5일반직국가장해급여10166122356581172495249143032141616131893393828301714252245594137513983741
6일반직지방유족보상1616293249449073697974717793104104956342625452504133132120161020000000002727
7일반직지방공무상요양102361228612535339342028226527829430542027533234530732232839833438840735439638237236725840200000000750536
8일반직지방장해급여717855141118101381015182018403238303033313231403238191953303000005332
9경찰소방유족보상2005524452596775626976667897949911589655265595144282820371417362528242424252422302544
구분직종구분항목합계1983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
17법관검사장해급여30000000000000001000000000001000000100000
18기능직기능직유족보상168849404633516260618611498801301358986736561485144291218141099912400000000
19기능직기능직공무상요양23543232256231252298280568523842827104228099210431081983815898100393510139959008849359349428558388848635621142530000
20기능직기능직장해급여23802411274085100304035814910010756691301498272717967413111737464313225281182130000
21고용직고용직유족보상4022729292527574448761735852121202100000000000000000
22고용직고용직공무상요양266515117523527031324531028580576924530233019162532251514100000000000000000
23고용직고용직장해급여933146121479702142001005300300000000000000000
24기타직기타직유족보상5309652051300251823172730231610171627252315692103931268101623211057
25기타직기타직공무상요양12267682129357145978196711011111421401231261582262433282441862172212782082652654496626787527881084110411731223248
26기타직기타직장해급여548111220008450599101411142120271314105791062628293641324429378