Overview

Dataset statistics

Number of variables218
Number of observations302
Missing cells5284
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory578.5 KiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric217

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 주택 거래현황의 월별 행정구역별(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068448/fileData.do

Alerts

2006-01 has 28 (9.3%) missing valuesMissing
2006-02 has 28 (9.3%) missing valuesMissing
2006-03 has 28 (9.3%) missing valuesMissing
2006-04 has 28 (9.3%) missing valuesMissing
2006-05 has 28 (9.3%) missing valuesMissing
2006-06 has 28 (9.3%) missing valuesMissing
2006-07 has 30 (9.9%) missing valuesMissing
2006-08 has 30 (9.9%) missing valuesMissing
2006-09 has 30 (9.9%) missing valuesMissing
2006-10 has 30 (9.9%) missing valuesMissing
2006-11 has 30 (9.9%) missing valuesMissing
2006-12 has 30 (9.9%) missing valuesMissing
2007-01 has 30 (9.9%) missing valuesMissing
2007-02 has 30 (9.9%) missing valuesMissing
2007-03 has 30 (9.9%) missing valuesMissing
2007-04 has 30 (9.9%) missing valuesMissing
2007-05 has 30 (9.9%) missing valuesMissing
2007-06 has 30 (9.9%) missing valuesMissing
2007-07 has 30 (9.9%) missing valuesMissing
2007-08 has 30 (9.9%) missing valuesMissing
2007-09 has 30 (9.9%) missing valuesMissing
2007-10 has 30 (9.9%) missing valuesMissing
2007-11 has 30 (9.9%) missing valuesMissing
2007-12 has 30 (9.9%) missing valuesMissing
2008-01 has 30 (9.9%) missing valuesMissing
2008-02 has 30 (9.9%) missing valuesMissing
2008-03 has 30 (9.9%) missing valuesMissing
2008-04 has 30 (9.9%) missing valuesMissing
2008-05 has 30 (9.9%) missing valuesMissing
2008-06 has 28 (9.3%) missing valuesMissing
2008-07 has 28 (9.3%) missing valuesMissing
2008-08 has 28 (9.3%) missing valuesMissing
2008-09 has 28 (9.3%) missing valuesMissing
2008-10 has 28 (9.3%) missing valuesMissing
2008-11 has 28 (9.3%) missing valuesMissing
2008-12 has 28 (9.3%) missing valuesMissing
2009-01 has 28 (9.3%) missing valuesMissing
2009-02 has 28 (9.3%) missing valuesMissing
2009-03 has 28 (9.3%) missing valuesMissing
2009-04 has 28 (9.3%) missing valuesMissing
2009-05 has 28 (9.3%) missing valuesMissing
2009-06 has 28 (9.3%) missing valuesMissing
2009-07 has 28 (9.3%) missing valuesMissing
2009-08 has 28 (9.3%) missing valuesMissing
2009-09 has 28 (9.3%) missing valuesMissing
2009-10 has 28 (9.3%) missing valuesMissing
2009-11 has 28 (9.3%) missing valuesMissing
2009-12 has 28 (9.3%) missing valuesMissing
2010-01 has 28 (9.3%) missing valuesMissing
2010-02 has 28 (9.3%) missing valuesMissing
2010-03 has 28 (9.3%) missing valuesMissing
2010-04 has 28 (9.3%) missing valuesMissing
2010-05 has 28 (9.3%) missing valuesMissing
2010-06 has 28 (9.3%) missing valuesMissing
2010-07 has 25 (8.3%) missing valuesMissing
2010-08 has 25 (8.3%) missing valuesMissing
2010-09 has 25 (8.3%) missing valuesMissing
2010-10 has 25 (8.3%) missing valuesMissing
2010-11 has 25 (8.3%) missing valuesMissing
2010-12 has 25 (8.3%) missing valuesMissing
2011-01 has 25 (8.3%) missing valuesMissing
2011-02 has 25 (8.3%) missing valuesMissing
2011-03 has 25 (8.3%) missing valuesMissing
2011-04 has 25 (8.3%) missing valuesMissing
2011-05 has 25 (8.3%) missing valuesMissing
2011-06 has 25 (8.3%) missing valuesMissing
2011-07 has 25 (8.3%) missing valuesMissing
2011-08 has 25 (8.3%) missing valuesMissing
2011-09 has 25 (8.3%) missing valuesMissing
2011-10 has 25 (8.3%) missing valuesMissing
2011-11 has 25 (8.3%) missing valuesMissing
2011-12 has 25 (8.3%) missing valuesMissing
2012-01 has 25 (8.3%) missing valuesMissing
2012-02 has 25 (8.3%) missing valuesMissing
2012-03 has 25 (8.3%) missing valuesMissing
2012-04 has 25 (8.3%) missing valuesMissing
2012-05 has 25 (8.3%) missing valuesMissing
2012-06 has 25 (8.3%) missing valuesMissing
2012-07 has 24 (7.9%) missing valuesMissing
2012-08 has 24 (7.9%) missing valuesMissing
2012-09 has 24 (7.9%) missing valuesMissing
2012-10 has 24 (7.9%) missing valuesMissing
2012-11 has 24 (7.9%) missing valuesMissing
2012-12 has 24 (7.9%) missing valuesMissing
2013-01 has 24 (7.9%) missing valuesMissing
2013-02 has 24 (7.9%) missing valuesMissing
2013-03 has 24 (7.9%) missing valuesMissing
2013-04 has 24 (7.9%) missing valuesMissing
2013-05 has 24 (7.9%) missing valuesMissing
2013-06 has 24 (7.9%) missing valuesMissing
2013-07 has 24 (7.9%) missing valuesMissing
2013-08 has 24 (7.9%) missing valuesMissing
2013-09 has 23 (7.6%) missing valuesMissing
2013-10 has 24 (7.9%) missing valuesMissing
2013-11 has 24 (7.9%) missing valuesMissing
2013-12 has 24 (7.9%) missing valuesMissing
2014-01 has 21 (7.0%) missing valuesMissing
2014-02 has 21 (7.0%) missing valuesMissing
2014-03 has 21 (7.0%) missing valuesMissing
2014-04 has 21 (7.0%) missing valuesMissing
2014-05 has 21 (7.0%) missing valuesMissing
2014-06 has 21 (7.0%) missing valuesMissing
2014-07 has 20 (6.6%) missing valuesMissing
2014-08 has 20 (6.6%) missing valuesMissing
2014-09 has 20 (6.6%) missing valuesMissing
2014-10 has 20 (6.6%) missing valuesMissing
2014-11 has 20 (6.6%) missing valuesMissing
2014-12 has 20 (6.6%) missing valuesMissing
2015-01 has 20 (6.6%) missing valuesMissing
2015-02 has 20 (6.6%) missing valuesMissing
2015-03 has 20 (6.6%) missing valuesMissing
2015-04 has 20 (6.6%) missing valuesMissing
2015-05 has 20 (6.6%) missing valuesMissing
2015-06 has 20 (6.6%) missing valuesMissing
2015-07 has 20 (6.6%) missing valuesMissing
2015-08 has 20 (6.6%) missing valuesMissing
2015-09 has 20 (6.6%) missing valuesMissing
2015-10 has 20 (6.6%) missing valuesMissing
2015-11 has 20 (6.6%) missing valuesMissing
2015-12 has 20 (6.6%) missing valuesMissing
2016-01 has 20 (6.6%) missing valuesMissing
2016-02 has 20 (6.6%) missing valuesMissing
2016-03 has 20 (6.6%) missing valuesMissing
2016-04 has 20 (6.6%) missing valuesMissing
2016-05 has 20 (6.6%) missing valuesMissing
2016-06 has 20 (6.6%) missing valuesMissing
2016-07 has 23 (7.6%) missing valuesMissing
2016-08 has 23 (7.6%) missing valuesMissing
2016-09 has 23 (7.6%) missing valuesMissing
2016-10 has 23 (7.6%) missing valuesMissing
2016-11 has 23 (7.6%) missing valuesMissing
2016-12 has 23 (7.6%) missing valuesMissing
2017-01 has 23 (7.6%) missing valuesMissing
2017-02 has 23 (7.6%) missing valuesMissing
2017-03 has 23 (7.6%) missing valuesMissing
2017-04 has 23 (7.6%) missing valuesMissing
2017-05 has 23 (7.6%) missing valuesMissing
2017-06 has 23 (7.6%) missing valuesMissing
2017-07 has 23 (7.6%) missing valuesMissing
2017-08 has 23 (7.6%) missing valuesMissing
2017-09 has 23 (7.6%) missing valuesMissing
2017-10 has 23 (7.6%) missing valuesMissing
2017-11 has 23 (7.6%) missing valuesMissing
2017-12 has 23 (7.6%) missing valuesMissing
2018-01 has 23 (7.6%) missing valuesMissing
2018-02 has 23 (7.6%) missing valuesMissing
2018-03 has 23 (7.6%) missing valuesMissing
2018-04 has 23 (7.6%) missing valuesMissing
2018-05 has 23 (7.6%) missing valuesMissing
2018-06 has 23 (7.6%) missing valuesMissing
2018-07 has 22 (7.3%) missing valuesMissing
2018-08 has 23 (7.6%) missing valuesMissing
2018-09 has 23 (7.6%) missing valuesMissing
2018-10 has 23 (7.6%) missing valuesMissing
2018-11 has 23 (7.6%) missing valuesMissing
2018-12 has 23 (7.6%) missing valuesMissing
2019-01 has 23 (7.6%) missing valuesMissing
2019-02 has 23 (7.6%) missing valuesMissing
2019-03 has 23 (7.6%) missing valuesMissing
2019-04 has 23 (7.6%) missing valuesMissing
2019-05 has 23 (7.6%) missing valuesMissing
2019-06 has 23 (7.6%) missing valuesMissing
2019-07 has 23 (7.6%) missing valuesMissing
2019-08 has 23 (7.6%) missing valuesMissing
2019-09 has 23 (7.6%) missing valuesMissing
2019-10 has 23 (7.6%) missing valuesMissing
2019-11 has 23 (7.6%) missing valuesMissing
2019-12 has 23 (7.6%) missing valuesMissing
2020-01 has 23 (7.6%) missing valuesMissing
2020-02 has 23 (7.6%) missing valuesMissing
2020-03 has 23 (7.6%) missing valuesMissing
2020-04 has 23 (7.6%) missing valuesMissing
2020-05 has 23 (7.6%) missing valuesMissing
2020-06 has 23 (7.6%) missing valuesMissing
2020-07 has 23 (7.6%) missing valuesMissing
2020-08 has 23 (7.6%) missing valuesMissing
2020-09 has 23 (7.6%) missing valuesMissing
2020-10 has 23 (7.6%) missing valuesMissing
2020-11 has 23 (7.6%) missing valuesMissing
2020-12 has 23 (7.6%) missing valuesMissing
2021-01 has 23 (7.6%) missing valuesMissing
2021-02 has 23 (7.6%) missing valuesMissing
2021-03 has 23 (7.6%) missing valuesMissing
2021-04 has 23 (7.6%) missing valuesMissing
2021-05 has 23 (7.6%) missing valuesMissing
2021-06 has 23 (7.6%) missing valuesMissing
2021-07 has 23 (7.6%) missing valuesMissing
2021-08 has 23 (7.6%) missing valuesMissing
2021-09 has 23 (7.6%) missing valuesMissing
2021-10 has 23 (7.6%) missing valuesMissing
2021-11 has 23 (7.6%) missing valuesMissing
2021-12 has 23 (7.6%) missing valuesMissing
2022-01 has 23 (7.6%) missing valuesMissing
2022-02 has 23 (7.6%) missing valuesMissing
2022-03 has 23 (7.6%) missing valuesMissing
2022-04 has 23 (7.6%) missing valuesMissing
2022-05 has 23 (7.6%) missing valuesMissing
2022-06 has 23 (7.6%) missing valuesMissing
2022-07 has 23 (7.6%) missing valuesMissing
2022-08 has 23 (7.6%) missing valuesMissing
2022-09 has 23 (7.6%) missing valuesMissing
2022-10 has 23 (7.6%) missing valuesMissing
2022-11 has 23 (7.6%) missing valuesMissing
2022-12 has 23 (7.6%) missing valuesMissing
2023-01 has 23 (7.6%) missing valuesMissing
2023-02 has 23 (7.6%) missing valuesMissing
2023-03 has 23 (7.6%) missing valuesMissing
2023-04 has 23 (7.6%) missing valuesMissing
2023-05 has 23 (7.6%) missing valuesMissing
2023-06 has 23 (7.6%) missing valuesMissing
2023-07 has 23 (7.6%) missing valuesMissing
2023-08 has 23 (7.6%) missing valuesMissing
2023-09 has 23 (7.6%) missing valuesMissing
2023-10 has 23 (7.6%) missing valuesMissing
2023-11 has 23 (7.6%) missing valuesMissing
2023-12 has 23 (7.6%) missing valuesMissing
2024-01 has 20 (6.6%) missing valuesMissing
지역 has unique valuesUnique
2006-01 has 5 (1.7%) zerosZeros
2007-09 has 5 (1.7%) zerosZeros

Reproduction

Analysis started2024-04-06 08:16:52.668552
Analysis finished2024-04-06 08:16:56.026589
Duration3.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct302
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T17:16:56.484401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length6.3675497
Min length3

Characters and Unicode

Total characters1923
Distinct characters147
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)100.0%

Sample

1st row전국
2nd row서울
3rd row서울 종로구
4th row서울 중구
5th row서울 용산구
ValueCountFrequency (%)
경기 56
 
9.6%
경남 27
 
4.6%
경북 26
 
4.4%
서울 26
 
4.4%
전남 23
 
3.9%
충북 20
 
3.4%
충남 20
 
3.4%
강원 19
 
3.2%
전북 17
 
2.9%
부산 17
 
2.9%
Other values (268) 334
57.1%
2024-04-06T17:16:57.336888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
302
 
15.7%
144
 
7.5%
125
 
6.5%
112
 
5.8%
93
 
4.8%
89
 
4.6%
72
 
3.7%
59
 
3.1%
50
 
2.6%
48
 
2.5%
Other values (137) 829
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1583
82.3%
Space Separator 302
 
15.7%
Close Punctuation 19
 
1.0%
Open Punctuation 19
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.5%
59
 
3.7%
50
 
3.2%
48
 
3.0%
47
 
3.0%
Other values (134) 744
47.0%
Space Separator
ValueCountFrequency (%)
302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1583
82.3%
Common 340
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.5%
59
 
3.7%
50
 
3.2%
48
 
3.0%
47
 
3.0%
Other values (134) 744
47.0%
Common
ValueCountFrequency (%)
302
88.8%
) 19
 
5.6%
( 19
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1583
82.3%
ASCII 340
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
302
88.8%
) 19
 
5.6%
( 19
 
5.6%
Hangul
ValueCountFrequency (%)
144
 
9.1%
125
 
7.9%
112
 
7.1%
93
 
5.9%
89
 
5.6%
72
 
4.5%
59
 
3.7%
50
 
3.2%
48
 
3.0%
47
 
3.0%
Other values (134) 744
47.0%

2006-01
Real number (ℝ)

MISSING  ZEROS 

Distinct107
Distinct (%)39.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean85.040146
Minimum0
Maximum7380
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:16:57.612138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median18.5
Q353.75
95-th percentile210.15
Maximum7380
Range7380
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation478.26134
Coefficient of variation (CV)5.6239477
Kurtosis202.27816
Mean85.040146
Median Absolute Deviation (MAD)16.5
Skewness13.631123
Sum23301
Variance228733.91
MonotonicityNot monotonic
2024-04-06T17:16:57.903468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 28
 
9.3%
2 22
 
7.3%
3 19
 
6.3%
6 8
 
2.6%
5 7
 
2.3%
22 6
 
2.0%
13 6
 
2.0%
7 6
 
2.0%
0 5
 
1.7%
14 5
 
1.7%
Other values (97) 162
53.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 5
 
1.7%
1 28
9.3%
2 22
7.3%
3 19
6.3%
4 3
 
1.0%
5 7
 
2.3%
6 8
 
2.6%
7 6
 
2.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
7380 1
0.3%
2530 1
0.3%
976 1
0.3%
814 1
0.3%
520 1
0.3%
472 1
0.3%
471 1
0.3%
427 1
0.3%
339 1
0.3%
244 1
0.3%

2006-02
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)42.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean98.675182
Minimum0
Maximum8535
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:16:58.203871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median28.5
Q363
95-th percentile240.4
Maximum8535
Range8535
Interquartile range (IQR)58

Descriptive statistics

Standard deviation541.13664
Coefficient of variation (CV)5.4840197
Kurtosis219.06529
Mean98.675182
Median Absolute Deviation (MAD)25.5
Skewness14.250293
Sum27037
Variance292828.86
MonotonicityNot monotonic
2024-04-06T17:16:58.483530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
3 16
 
5.3%
1 15
 
5.0%
5 11
 
3.6%
6 10
 
3.3%
4 9
 
3.0%
8 8
 
2.6%
7 7
 
2.3%
54 6
 
2.0%
46 5
 
1.7%
Other values (106) 168
55.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 3
 
1.0%
1 15
5.0%
2 19
6.3%
3 16
5.3%
4 9
3.0%
5 11
3.6%
6 10
3.3%
7 7
 
2.3%
8 8
2.6%
9 2
 
0.7%
ValueCountFrequency (%)
8535 1
0.3%
2083 1
0.3%
1599 1
0.3%
643 1
0.3%
569 1
0.3%
485 1
0.3%
453 1
0.3%
401 1
0.3%
361 1
0.3%
336 1
0.3%

2006-03
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)46.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean127.71898
Minimum1
Maximum11005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:16:58.807865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median35
Q387.75
95-th percentile329.75
Maximum11005
Range11004
Interquartile range (IQR)81.75

Descriptive statistics

Standard deviation702.25796
Coefficient of variation (CV)5.4984621
Kurtosis213.78084
Mean127.71898
Median Absolute Deviation (MAD)31
Skewness14.055731
Sum34995
Variance493166.25
MonotonicityNot monotonic
2024-04-06T17:16:59.349215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
4 14
 
4.6%
1 13
 
4.3%
2 12
 
4.0%
5 11
 
3.6%
6 7
 
2.3%
7 7
 
2.3%
10 7
 
2.3%
8 7
 
2.3%
16 5
 
1.7%
Other values (118) 177
58.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 13
4.3%
2 12
4.0%
3 14
4.6%
4 14
4.6%
5 11
3.6%
6 7
2.3%
7 7
2.3%
8 7
2.3%
9 1
 
0.3%
10 7
2.3%
ValueCountFrequency (%)
11005 1
0.3%
2984 1
0.3%
2173 1
0.3%
707 1
0.3%
615 1
0.3%
614 1
0.3%
497 1
0.3%
489 1
0.3%
482 1
0.3%
458 1
0.3%

2006-04
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)42.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean112.31752
Minimum0
Maximum9681
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:16:59.701430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median37.5
Q378.75
95-th percentile258.15
Maximum9681
Range9681
Interquartile range (IQR)73.75

Descriptive statistics

Standard deviation620.14238
Coefficient of variation (CV)5.5213326
Kurtosis210.70343
Mean112.31752
Median Absolute Deviation (MAD)33.5
Skewness13.939953
Sum30775
Variance384576.57
MonotonicityNot monotonic
2024-04-06T17:17:00.042921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
1 15
 
5.0%
4 14
 
4.6%
5 12
 
4.0%
3 12
 
4.0%
7 8
 
2.6%
6 7
 
2.3%
9 6
 
2.0%
54 5
 
1.7%
43 4
 
1.3%
Other values (107) 175
57.9%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 3
 
1.0%
1 15
5.0%
2 16
5.3%
3 12
4.0%
4 14
4.6%
5 12
4.0%
6 7
2.3%
7 8
2.6%
8 2
 
0.7%
9 6
 
2.0%
ValueCountFrequency (%)
9681 1
0.3%
2702 1
0.3%
2046 1
0.3%
633 1
0.3%
565 1
0.3%
466 1
0.3%
449 1
0.3%
437 1
0.3%
421 1
0.3%
370 1
0.3%

2006-05
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)47.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean117.81022
Minimum1
Maximum10131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:00.382545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.65
Q16
median36.5
Q384.75
95-th percentile290.35
Maximum10131
Range10130
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation653.66537
Coefficient of variation (CV)5.5484607
Kurtosis205.11468
Mean117.81022
Median Absolute Deviation (MAD)32.5
Skewness13.732986
Sum32280
Variance427278.42
MonotonicityNot monotonic
2024-04-06T17:17:00.736056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 15
 
5.0%
3 14
 
4.6%
1 14
 
4.6%
4 13
 
4.3%
7 12
 
4.0%
6 9
 
3.0%
5 8
 
2.6%
8 6
 
2.0%
41 5
 
1.7%
9 4
 
1.3%
Other values (119) 174
57.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 14
4.6%
2 15
5.0%
3 14
4.6%
4 13
4.3%
5 8
2.6%
6 9
3.0%
7 12
4.0%
8 6
 
2.0%
9 4
 
1.3%
10 2
 
0.7%
ValueCountFrequency (%)
10131 1
0.3%
3052 1
0.3%
2272 1
0.3%
665 1
0.3%
566 1
0.3%
498 1
0.3%
453 1
0.3%
409 1
0.3%
397 1
0.3%
325 1
0.3%

2006-06
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)40.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean103.62409
Minimum0
Maximum8923
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:01.230627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median31.5
Q371.75
95-th percentile270.45
Maximum8923
Range8923
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation571.91846
Coefficient of variation (CV)5.5191652
Kurtosis210.32025
Mean103.62409
Median Absolute Deviation (MAD)28.5
Skewness13.929002
Sum28393
Variance327090.73
MonotonicityNot monotonic
2024-04-06T17:17:01.537061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 18
 
6.0%
1 16
 
5.3%
4 12
 
4.0%
6 8
 
2.6%
5 7
 
2.3%
7 6
 
2.0%
8 6
 
2.0%
53 5
 
1.7%
18 5
 
1.7%
Other values (102) 172
57.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 16
5.3%
2 18
6.0%
3 19
6.3%
4 12
4.0%
5 7
 
2.3%
6 8
2.6%
7 6
 
2.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
8923 1
0.3%
2599 1
0.3%
1746 1
0.3%
531 1
0.3%
529 1
0.3%
449 1
0.3%
414 1
0.3%
391 1
0.3%
372 1
0.3%
364 1
0.3%

2006-07
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)38.6%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean87.794118
Minimum0
Maximum7522
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:01.875747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median25.5
Q359
95-th percentile222.05
Maximum7522
Range7522
Interquartile range (IQR)54

Descriptive statistics

Standard deviation481.6362
Coefficient of variation (CV)5.4859734
Kurtosis212.47811
Mean87.794118
Median Absolute Deviation (MAD)22.5
Skewness14.019297
Sum23880
Variance231973.43
MonotonicityNot monotonic
2024-04-06T17:17:02.186238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 25
 
8.3%
3 16
 
5.3%
4 13
 
4.3%
1 10
 
3.3%
7 10
 
3.3%
6 9
 
3.0%
59 6
 
2.0%
5 6
 
2.0%
40 5
 
1.7%
8 5
 
1.7%
Other values (95) 167
55.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 3
 
1.0%
1 10
 
3.3%
2 25
8.3%
3 16
5.3%
4 13
4.3%
5 6
 
2.0%
6 9
 
3.0%
7 10
 
3.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
7522 1
0.3%
2115 1
0.3%
1349 1
0.3%
455 1
0.3%
423 1
0.3%
406 1
0.3%
373 2
0.7%
363 1
0.3%
296 1
0.3%
279 2
0.7%

2006-08
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)33.8%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean78.058824
Minimum0
Maximum6677
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:02.570099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median24
Q354.25
95-th percentile208.45
Maximum6677
Range6677
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation429.96398
Coefficient of variation (CV)5.5082047
Kurtosis207.9504
Mean78.058824
Median Absolute Deviation (MAD)21
Skewness13.849941
Sum21232
Variance184869.02
MonotonicityNot monotonic
2024-04-06T17:17:02.851188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 22
 
7.3%
1 19
 
6.3%
3 18
 
6.0%
4 10
 
3.3%
5 9
 
3.0%
8 7
 
2.3%
7 6
 
2.0%
10 6
 
2.0%
11 6
 
2.0%
40 5
 
1.7%
Other values (82) 164
54.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 19
6.3%
2 22
7.3%
3 18
6.0%
4 10
3.3%
5 9
3.0%
6 5
 
1.7%
7 6
 
2.0%
8 7
 
2.3%
10 6
 
2.0%
ValueCountFrequency (%)
6677 1
0.3%
1941 1
0.3%
1392 1
0.3%
367 1
0.3%
349 1
0.3%
341 1
0.3%
307 1
0.3%
279 1
0.3%
253 1
0.3%
228 2
0.7%

2006-09
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)46.0%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean127.16912
Minimum0
Maximum10894
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:03.189167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median39
Q387.25
95-th percentile298.3
Maximum10894
Range10894
Interquartile range (IQR)80.25

Descriptive statistics

Standard deviation704.60908
Coefficient of variation (CV)5.5407248
Kurtosis204.63831
Mean127.16912
Median Absolute Deviation (MAD)35
Skewness13.728742
Sum34590
Variance496473.96
MonotonicityNot monotonic
2024-04-06T17:17:03.937197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 15
 
5.0%
4 10
 
3.3%
1 10
 
3.3%
5 10
 
3.3%
7 8
 
2.6%
11 7
 
2.3%
8 6
 
2.0%
6 5
 
1.7%
73 5
 
1.7%
Other values (115) 180
59.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 10
3.3%
2 15
5.0%
3 16
5.3%
4 10
3.3%
5 10
3.3%
6 5
 
1.7%
7 8
2.6%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
10894 1
0.3%
3347 1
0.3%
2294 1
0.3%
614 1
0.3%
579 1
0.3%
543 1
0.3%
504 1
0.3%
463 1
0.3%
433 1
0.3%
394 1
0.3%

2006-10
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)48.2%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean137.23162
Minimum1
Maximum11661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:04.333597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median37
Q398.25
95-th percentile301
Maximum11661
Range11660
Interquartile range (IQR)93.25

Descriptive statistics

Standard deviation765.09787
Coefficient of variation (CV)5.5752303
Kurtosis193.98707
Mean137.23162
Median Absolute Deviation (MAD)34
Skewness13.323538
Sum37327
Variance585374.75
MonotonicityNot monotonic
2024-04-06T17:17:04.605769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
1 17
 
5.6%
3 14
 
4.6%
4 12
 
4.0%
5 9
 
3.0%
6 7
 
2.3%
79 5
 
1.7%
49 4
 
1.3%
11 4
 
1.3%
10 4
 
1.3%
Other values (121) 177
58.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 17
5.6%
2 19
6.3%
3 14
4.6%
4 12
4.0%
5 9
3.0%
6 7
 
2.3%
7 4
 
1.3%
8 2
 
0.7%
9 4
 
1.3%
10 4
 
1.3%
ValueCountFrequency (%)
11661 1
0.3%
3893 1
0.3%
2929 1
0.3%
691 1
0.3%
561 1
0.3%
545 1
0.3%
496 1
0.3%
471 1
0.3%
434 1
0.3%
351 1
0.3%

2006-11
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)49.6%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean190.89706
Minimum1
Maximum16279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:05.035060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.75
median49.5
Q3139.5
95-th percentile404.7
Maximum16279
Range16278
Interquartile range (IQR)132.75

Descriptive statistics

Standard deviation1068.2798
Coefficient of variation (CV)5.5961042
Kurtosis194.01248
Mean190.89706
Median Absolute Deviation (MAD)45.5
Skewness13.330024
Sum51924
Variance1141221.8
MonotonicityNot monotonic
2024-04-06T17:17:05.331484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
2 12
 
4.0%
5 12
 
4.0%
4 12
 
4.0%
1 11
 
3.6%
6 7
 
2.3%
8 6
 
2.0%
19 6
 
2.0%
22 5
 
1.7%
128 5
 
1.7%
Other values (125) 182
60.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 11
3.6%
2 12
4.0%
3 14
4.6%
4 12
4.0%
5 12
4.0%
6 7
2.3%
7 5
 
1.7%
8 6
2.0%
9 3
 
1.0%
10 4
 
1.3%
ValueCountFrequency (%)
16279 1
0.3%
5586 1
0.3%
3874 1
0.3%
1092 1
0.3%
848 1
0.3%
684 1
0.3%
652 1
0.3%
622 1
0.3%
614 1
0.3%
523 1
0.3%

2006-12
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)50.4%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean160.8125
Minimum0
Maximum13795
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:05.598700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median49
Q3114.5
95-th percentile358.05
Maximum13795
Range13795
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation893.81389
Coefficient of variation (CV)5.558112
Kurtosis203.16606
Mean160.8125
Median Absolute Deviation (MAD)44
Skewness13.663344
Sum43741
Variance798903.27
MonotonicityNot monotonic
2024-04-06T17:17:05.903752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 14
 
4.6%
4 10
 
3.3%
5 8
 
2.6%
7 7
 
2.3%
1 7
 
2.3%
6 7
 
2.3%
12 5
 
1.7%
16 4
 
1.3%
8 4
 
1.3%
Other values (127) 190
62.9%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.3%
2 14
4.6%
3 16
5.3%
4 10
3.3%
5 8
2.6%
6 7
2.3%
7 7
2.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
13795 1
0.3%
4121 1
0.3%
3170 1
0.3%
887 1
0.3%
848 1
0.3%
794 1
0.3%
660 1
0.3%
549 1
0.3%
454 1
0.3%
437 1
0.3%

2007-01
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)44.1%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean105.54044
Minimum1
Maximum9045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:06.238460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median31
Q372
95-th percentile254.15
Maximum9045
Range9044
Interquartile range (IQR)67

Descriptive statistics

Standard deviation581.94422
Coefficient of variation (CV)5.5139453
Kurtosis208.80851
Mean105.54044
Median Absolute Deviation (MAD)27
Skewness13.891395
Sum28707
Variance338659.08
MonotonicityNot monotonic
2024-04-06T17:17:06.595398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 23
 
7.6%
4 15
 
5.0%
3 14
 
4.6%
1 12
 
4.0%
5 7
 
2.3%
7 5
 
1.7%
15 5
 
1.7%
87 5
 
1.7%
8 5
 
1.7%
6 4
 
1.3%
Other values (110) 177
58.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 12
4.0%
2 23
7.6%
3 14
4.6%
4 15
5.0%
5 7
 
2.3%
6 4
 
1.3%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
9045 1
0.3%
2741 1
0.3%
1635 1
0.3%
518 1
0.3%
494 1
0.3%
484 1
0.3%
482 1
0.3%
420 1
0.3%
377 1
0.3%
321 1
0.3%

2007-02
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)36.4%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean83.761029
Minimum0
Maximum7208
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:06.895834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median24
Q352
95-th percentile233.9
Maximum7208
Range7208
Interquartile range (IQR)48

Descriptive statistics

Standard deviation460.56049
Coefficient of variation (CV)5.4985056
Kurtosis214.09295
Mean83.761029
Median Absolute Deviation (MAD)21
Skewness14.068882
Sum22783
Variance212115.96
MonotonicityNot monotonic
2024-04-06T17:17:07.272467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 25
 
8.3%
3 23
 
7.6%
1 14
 
4.6%
8 8
 
2.6%
7 7
 
2.3%
4 7
 
2.3%
23 6
 
2.0%
34 6
 
2.0%
11 6
 
2.0%
9 6
 
2.0%
Other values (89) 164
54.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 14
4.6%
2 25
8.3%
3 23
7.6%
4 7
 
2.3%
5 3
 
1.0%
6 5
 
1.7%
7 7
 
2.3%
8 8
 
2.6%
9 6
 
2.0%
ValueCountFrequency (%)
7208 1
0.3%
1903 1
0.3%
1326 1
0.3%
548 1
0.3%
474 1
0.3%
396 1
0.3%
339 1
0.3%
308 2
0.7%
290 1
0.3%
289 1
0.3%

2007-03
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)38.2%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean90.102941
Minimum1
Maximum7795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:07.567198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q16
median28
Q355.25
95-th percentile229.8
Maximum7795
Range7794
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation494.49322
Coefficient of variation (CV)5.4880919
Kurtosis220.16227
Mean90.102941
Median Absolute Deviation (MAD)24
Skewness14.306654
Sum24508
Variance244523.55
MonotonicityNot monotonic
2024-04-06T17:17:07.853472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 17
 
5.6%
1 14
 
4.6%
4 12
 
4.0%
9 9
 
3.0%
6 6
 
2.0%
40 6
 
2.0%
48 5
 
1.7%
5 5
 
1.7%
8 5
 
1.7%
Other values (94) 174
57.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 14
4.6%
2 17
5.6%
3 19
6.3%
4 12
4.0%
5 5
 
1.7%
6 6
 
2.0%
7 3
 
1.0%
8 5
 
1.7%
9 9
3.0%
10 2
 
0.7%
ValueCountFrequency (%)
7795 1
0.3%
1922 1
0.3%
1230 1
0.3%
622 1
0.3%
487 1
0.3%
469 1
0.3%
427 1
0.3%
415 1
0.3%
347 1
0.3%
306 1
0.3%

2007-04
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)39.3%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean89.6875
Minimum1
Maximum7789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:08.157598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.75
median28.5
Q357
95-th percentile202.8
Maximum7789
Range7788
Interquartile range (IQR)51.25

Descriptive statistics

Standard deviation495.53255
Coefficient of variation (CV)5.5251016
Kurtosis217.80976
Mean89.6875
Median Absolute Deviation (MAD)23.5
Skewness14.218715
Sum24395
Variance245552.51
MonotonicityNot monotonic
2024-04-06T17:17:08.464283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
4 15
 
5.0%
3 15
 
5.0%
1 11
 
3.6%
5 8
 
2.6%
9 8
 
2.6%
34 7
 
2.3%
8 6
 
2.0%
21 6
 
2.0%
39 5
 
1.7%
Other values (97) 172
57.0%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 11
3.6%
2 19
6.3%
3 15
5.0%
4 15
5.0%
5 8
2.6%
6 3
 
1.0%
7 4
 
1.3%
8 6
 
2.0%
9 8
2.6%
10 3
 
1.0%
ValueCountFrequency (%)
7789 1
0.3%
2004 1
0.3%
1272 1
0.3%
575 1
0.3%
546 1
0.3%
495 1
0.3%
491 1
0.3%
407 1
0.3%
347 1
0.3%
312 1
0.3%

2007-05
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)40.4%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean99.716912
Minimum0
Maximum8666
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:08.766760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median25
Q358
95-th percentile205.1
Maximum8666
Range8666
Interquartile range (IQR)53

Descriptive statistics

Standard deviation556.37542
Coefficient of variation (CV)5.5795493
Kurtosis209.73077
Mean99.716912
Median Absolute Deviation (MAD)21
Skewness13.839094
Sum27123
Variance309553.61
MonotonicityNot monotonic
2024-04-06T17:17:09.051551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.6%
4 16
 
5.3%
1 14
 
4.6%
3 10
 
3.3%
5 10
 
3.3%
22 8
 
2.6%
8 8
 
2.6%
9 6
 
2.0%
7 5
 
1.7%
29 5
 
1.7%
Other values (100) 170
56.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 14
4.6%
2 20
6.6%
3 10
3.3%
4 16
5.3%
5 10
3.3%
6 2
 
0.7%
7 5
 
1.7%
8 8
 
2.6%
9 6
 
2.0%
ValueCountFrequency (%)
8666 1
0.3%
1804 1
0.3%
1738 1
0.3%
1328 1
0.3%
1160 1
0.3%
597 1
0.3%
474 1
0.3%
470 1
0.3%
408 1
0.3%
353 1
0.3%

2007-06
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)37.1%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean78.316176
Minimum0
Maximum6792
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:09.369907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median24
Q353
95-th percentile176.5
Maximum6792
Range6792
Interquartile range (IQR)49

Descriptive statistics

Standard deviation431.29
Coefficient of variation (CV)5.507036
Kurtosis219.35457
Mean78.316176
Median Absolute Deviation (MAD)21
Skewness14.275807
Sum21302
Variance186011.07
MonotonicityNot monotonic
2024-04-06T17:17:09.738036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 18
 
6.0%
1 18
 
6.0%
4 12
 
4.0%
24 10
 
3.3%
6 7
 
2.3%
11 6
 
2.0%
5 5
 
1.7%
30 5
 
1.7%
41 5
 
1.7%
Other values (91) 167
55.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 18
6.0%
2 18
6.0%
3 19
6.3%
4 12
4.0%
5 5
 
1.7%
6 7
 
2.3%
7 3
 
1.0%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
6792 1
0.3%
1699 1
0.3%
1059 1
0.3%
612 1
0.3%
441 1
0.3%
422 1
0.3%
403 1
0.3%
380 1
0.3%
302 1
0.3%
258 1
0.3%

2007-07
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)39.0%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean95.496324
Minimum0
Maximum8304
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:10.066844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q15
median26
Q354.25
95-th percentile217.8
Maximum8304
Range8304
Interquartile range (IQR)49.25

Descriptive statistics

Standard deviation530.92833
Coefficient of variation (CV)5.559673
Kurtosis213.23251
Mean95.496324
Median Absolute Deviation (MAD)22
Skewness13.986078
Sum25975
Variance281884.89
MonotonicityNot monotonic
2024-04-06T17:17:10.327727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 22
 
7.3%
3 17
 
5.6%
4 12
 
4.0%
1 12
 
4.0%
7 10
 
3.3%
5 7
 
2.3%
42 6
 
2.0%
32 5
 
1.7%
26 5
 
1.7%
9 5
 
1.7%
Other values (96) 171
56.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 12
4.0%
2 22
7.3%
3 17
5.6%
4 12
4.0%
5 7
 
2.3%
6 3
 
1.0%
7 10
3.3%
8 2
 
0.7%
9 5
 
1.7%
ValueCountFrequency (%)
8304 1
0.3%
1893 1
0.3%
1276 1
0.3%
1154 1
0.3%
1139 1
0.3%
635 1
0.3%
507 1
0.3%
417 1
0.3%
368 1
0.3%
356 1
0.3%

2007-08
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)39.3%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean94.992647
Minimum0
Maximum8313
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:10.633763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median23
Q353
95-th percentile254.7
Maximum8313
Range8313
Interquartile range (IQR)48

Descriptive statistics

Standard deviation532.04899
Coefficient of variation (CV)5.6009492
Kurtosis212.40325
Mean94.992647
Median Absolute Deviation (MAD)20
Skewness13.949773
Sum25838
Variance283076.13
MonotonicityNot monotonic
2024-04-06T17:17:10.982830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
7.0%
1 16
 
5.3%
2 15
 
5.0%
4 12
 
4.0%
5 12
 
4.0%
38 7
 
2.3%
9 7
 
2.3%
21 6
 
2.0%
6 5
 
1.7%
23 5
 
1.7%
Other values (97) 166
55.0%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 16
5.3%
2 15
5.0%
3 21
7.0%
4 12
4.0%
5 12
4.0%
6 5
 
1.7%
7 3
 
1.0%
8 4
 
1.3%
9 7
 
2.3%
ValueCountFrequency (%)
8313 1
0.3%
1839 1
0.3%
1356 1
0.3%
1221 1
0.3%
1176 1
0.3%
621 1
0.3%
428 1
0.3%
401 1
0.3%
393 1
0.3%
303 1
0.3%

2007-09
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)34.2%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean90.095588
Minimum0
Maximum7903
Zeros5
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:11.301767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median21
Q346
95-th percentile183.9
Maximum7903
Range7903
Interquartile range (IQR)42

Descriptive statistics

Standard deviation516.47334
Coefficient of variation (CV)5.7325042
Kurtosis195.89218
Mean90.095588
Median Absolute Deviation (MAD)18
Skewness13.285142
Sum24506
Variance266744.71
MonotonicityNot monotonic
2024-04-06T17:17:11.615420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
 
7.9%
2 19
 
6.3%
4 12
 
4.0%
6 11
 
3.6%
3 11
 
3.6%
7 10
 
3.3%
30 6
 
2.0%
0 5
 
1.7%
31 5
 
1.7%
20 5
 
1.7%
Other values (83) 164
54.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 5
 
1.7%
1 24
7.9%
2 19
6.3%
3 11
3.6%
4 12
4.0%
5 2
 
0.7%
6 11
3.6%
7 10
3.3%
8 2
 
0.7%
9 3
 
1.0%
ValueCountFrequency (%)
7903 1
0.3%
1924 1
0.3%
1814 1
0.3%
1562 1
0.3%
1020 1
0.3%
651 1
0.3%
382 1
0.3%
362 1
0.3%
299 1
0.3%
289 1
0.3%

2007-10
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)40.4%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean105.98162
Minimum1
Maximum9228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:11.923348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15.75
median31.5
Q366
95-th percentile324.6
Maximum9228
Range9227
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation586.91995
Coefficient of variation (CV)5.5379411
Kurtosis218.06396
Mean105.98162
Median Absolute Deviation (MAD)27
Skewness14.22543
Sum28827
Variance344475.03
MonotonicityNot monotonic
2024-04-06T17:17:12.694559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
5 13
 
4.3%
4 13
 
4.3%
3 12
 
4.0%
1 11
 
3.6%
7 8
 
2.6%
29 8
 
2.6%
6 6
 
2.0%
13 5
 
1.7%
43 5
 
1.7%
Other values (100) 172
57.0%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 11
3.6%
2 19
6.3%
3 12
4.0%
4 13
4.3%
5 13
4.3%
6 6
 
2.0%
7 8
2.6%
8 2
 
0.7%
9 2
 
0.7%
10 2
 
0.7%
ValueCountFrequency (%)
9228 1
0.3%
2383 1
0.3%
1415 1
0.3%
759 1
0.3%
585 1
0.3%
567 1
0.3%
530 1
0.3%
425 1
0.3%
402 1
0.3%
379 1
0.3%

2007-11
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)41.5%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean101.28309
Minimum1
Maximum8815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:12.973587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median30
Q362.25
95-th percentile273.45
Maximum8815
Range8814
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation561.95564
Coefficient of variation (CV)5.5483659
Kurtosis216.09192
Mean101.28309
Median Absolute Deviation (MAD)25
Skewness14.150115
Sum27549
Variance315794.14
MonotonicityNot monotonic
2024-04-06T17:17:13.285060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15
 
5.0%
2 13
 
4.3%
3 13
 
4.3%
4 13
 
4.3%
5 9
 
3.0%
30 8
 
2.6%
9 7
 
2.3%
6 6
 
2.0%
8 6
 
2.0%
7 5
 
1.7%
Other values (103) 177
58.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 15
5.0%
2 13
4.3%
3 13
4.3%
4 13
4.3%
5 9
3.0%
6 6
 
2.0%
7 5
 
1.7%
8 6
 
2.0%
9 7
2.3%
10 4
 
1.3%
ValueCountFrequency (%)
8815 1
0.3%
2262 1
0.3%
1605 1
0.3%
683 1
0.3%
587 1
0.3%
517 1
0.3%
436 1
0.3%
401 1
0.3%
374 1
0.3%
332 1
0.3%

2007-12
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)40.8%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean92.169118
Minimum0
Maximum7989
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:13.610592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median27
Q358
95-th percentile239.7
Maximum7989
Range7989
Interquartile range (IQR)53

Descriptive statistics

Standard deviation503.33806
Coefficient of variation (CV)5.4610272
Kurtosis225.99182
Mean92.169118
Median Absolute Deviation (MAD)23
Skewness14.522002
Sum25070
Variance253349.2
MonotonicityNot monotonic
2024-04-06T17:17:13.946565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
1 16
 
5.3%
4 15
 
5.0%
3 11
 
3.6%
5 8
 
2.6%
27 7
 
2.3%
21 6
 
2.0%
44 5
 
1.7%
30 5
 
1.7%
8 5
 
1.7%
Other values (101) 175
57.9%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 16
5.3%
2 19
6.3%
3 11
3.6%
4 15
5.0%
5 8
2.6%
6 4
 
1.3%
7 3
 
1.0%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
7989 1
0.3%
1646 1
0.3%
1223 1
0.3%
645 1
0.3%
617 1
0.3%
579 1
0.3%
482 1
0.3%
429 1
0.3%
407 1
0.3%
346 1
0.3%

2008-01
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)41.5%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean90.213235
Minimum0
Maximum7812
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:14.297942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median25
Q360
95-th percentile281.6
Maximum7812
Range7812
Interquartile range (IQR)54

Descriptive statistics

Standard deviation491.55643
Coefficient of variation (CV)5.4488283
Kurtosis227.12726
Mean90.213235
Median Absolute Deviation (MAD)22
Skewness14.565884
Sum24538
Variance241627.73
MonotonicityNot monotonic
2024-04-06T17:17:14.580973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 25
 
8.3%
1 15
 
5.0%
3 12
 
4.0%
6 9
 
3.0%
4 9
 
3.0%
30 8
 
2.6%
8 7
 
2.3%
42 6
 
2.0%
10 5
 
1.7%
40 5
 
1.7%
Other values (103) 171
56.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 15
5.0%
2 25
8.3%
3 12
4.0%
4 9
 
3.0%
5 4
 
1.3%
6 9
 
3.0%
7 5
 
1.7%
8 7
 
2.3%
9 2
 
0.7%
ValueCountFrequency (%)
7812 1
0.3%
1619 1
0.3%
1067 1
0.3%
625 1
0.3%
536 1
0.3%
527 1
0.3%
520 1
0.3%
472 1
0.3%
375 1
0.3%
359 1
0.3%

2008-02
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)39.7%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean83.790441
Minimum0
Maximum7265
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:15.004768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median25
Q353
95-th percentile254.9
Maximum7265
Range7265
Interquartile range (IQR)48

Descriptive statistics

Standard deviation457.29615
Coefficient of variation (CV)5.4576172
Kurtosis226.79955
Mean83.790441
Median Absolute Deviation (MAD)22
Skewness14.549298
Sum22791
Variance209119.77
MonotonicityNot monotonic
2024-04-06T17:17:15.262265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
7.0%
3 19
 
6.3%
1 15
 
5.0%
6 9
 
3.0%
8 9
 
3.0%
4 9
 
3.0%
36 7
 
2.3%
5 6
 
2.0%
21 5
 
1.7%
28 5
 
1.7%
Other values (98) 167
55.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 15
5.0%
2 21
7.0%
3 19
6.3%
4 9
3.0%
5 6
 
2.0%
6 9
3.0%
7 3
 
1.0%
8 9
3.0%
9 1
 
0.3%
ValueCountFrequency (%)
7265 1
0.3%
1454 1
0.3%
1079 1
0.3%
560 1
0.3%
544 1
0.3%
503 1
0.3%
502 1
0.3%
390 1
0.3%
374 1
0.3%
327 1
0.3%

2008-03
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)43.0%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean104.87132
Minimum1
Maximum9121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:15.538384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median34
Q367.25
95-th percentile290.6
Maximum9121
Range9120
Interquartile range (IQR)61.25

Descriptive statistics

Standard deviation577.05742
Coefficient of variation (CV)5.5025282
Kurtosis222.4053
Mean104.87132
Median Absolute Deviation (MAD)28
Skewness14.384256
Sum28525
Variance332995.26
MonotonicityNot monotonic
2024-04-06T17:17:15.885988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
3 17
 
5.6%
6 13
 
4.3%
4 11
 
3.6%
10 7
 
2.3%
35 7
 
2.3%
1 6
 
2.0%
5 6
 
2.0%
39 5
 
1.7%
7 5
 
1.7%
Other values (107) 177
58.6%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 6
 
2.0%
2 18
6.0%
3 17
5.6%
4 11
3.6%
5 6
 
2.0%
6 13
4.3%
7 5
 
1.7%
8 3
 
1.0%
9 2
 
0.7%
10 7
 
2.3%
ValueCountFrequency (%)
9121 1
0.3%
2003 1
0.3%
1564 1
0.3%
771 1
0.3%
659 1
0.3%
597 1
0.3%
547 1
0.3%
466 1
0.3%
380 1
0.3%
352 1
0.3%

2008-04
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)46.7%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean120.51838
Minimum0
Maximum10483
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:16.212730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median36.5
Q381
95-th percentile290.05
Maximum10483
Range10483
Interquartile range (IQR)75

Descriptive statistics

Standard deviation668.31187
Coefficient of variation (CV)5.5453106
Kurtosis215.9672
Mean120.51838
Median Absolute Deviation (MAD)31.5
Skewness14.13934
Sum32781
Variance446640.75
MonotonicityNot monotonic
2024-04-06T17:17:16.485190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
5 16
 
5.3%
3 10
 
3.3%
4 9
 
3.0%
1 8
 
2.6%
6 7
 
2.3%
9 6
 
2.0%
7 5
 
1.7%
53 5
 
1.7%
15 5
 
1.7%
Other values (117) 182
60.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 19
6.3%
3 10
3.3%
4 9
3.0%
5 16
5.3%
6 7
 
2.3%
7 5
 
1.7%
8 1
 
0.3%
9 6
 
2.0%
ValueCountFrequency (%)
10483 1
0.3%
2502 1
0.3%
2140 1
0.3%
894 1
0.3%
807 1
0.3%
625 1
0.3%
502 1
0.3%
420 1
0.3%
406 1
0.3%
395 1
0.3%

2008-05
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)42.3%
Missing30
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean107.07721
Minimum1
Maximum9294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:16.733788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median35
Q371
95-th percentile245.15
Maximum9294
Range9293
Interquartile range (IQR)64

Descriptive statistics

Standard deviation592.46559
Coefficient of variation (CV)5.5330692
Kurtosis216.0585
Mean107.07721
Median Absolute Deviation (MAD)29
Skewness14.146952
Sum29125
Variance351015.48
MonotonicityNot monotonic
2024-04-06T17:17:16.970848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 27
 
8.9%
2 12
 
4.0%
1 9
 
3.0%
4 8
 
2.6%
8 7
 
2.3%
9 7
 
2.3%
7 6
 
2.0%
56 6
 
2.0%
6 6
 
2.0%
46 5
 
1.7%
Other values (105) 179
59.3%
(Missing) 30
 
9.9%
ValueCountFrequency (%)
1 9
 
3.0%
2 12
4.0%
3 27
8.9%
4 8
 
2.6%
5 3
 
1.0%
6 6
 
2.0%
7 6
 
2.0%
8 7
 
2.3%
9 7
 
2.3%
10 3
 
1.0%
ValueCountFrequency (%)
9294 1
0.3%
2318 1
0.3%
1777 1
0.3%
784 1
0.3%
697 1
0.3%
593 1
0.3%
430 1
0.3%
360 1
0.3%
357 1
0.3%
332 1
0.3%

2008-06
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)45.3%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean105.87956
Minimum0
Maximum9190
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:17.240741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q17
median34
Q369.75
95-th percentile252.2
Maximum9190
Range9190
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation582.59137
Coefficient of variation (CV)5.5023968
Kurtosis219.26018
Mean105.87956
Median Absolute Deviation (MAD)30
Skewness14.263545
Sum29011
Variance339412.7
MonotonicityNot monotonic
2024-04-06T17:17:17.495092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
6.0%
2 14
 
4.6%
3 14
 
4.6%
1 13
 
4.3%
7 9
 
3.0%
9 6
 
2.0%
5 6
 
2.0%
37 5
 
1.7%
29 5
 
1.7%
13 5
 
1.7%
Other values (114) 179
59.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.3%
2 14
4.6%
3 14
4.6%
4 18
6.0%
5 6
 
2.0%
6 2
 
0.7%
7 9
3.0%
8 2
 
0.7%
9 6
 
2.0%
ValueCountFrequency (%)
9190 1
0.3%
2317 1
0.3%
1611 1
0.3%
717 1
0.3%
639 1
0.3%
588 1
0.3%
452 1
0.3%
432 1
0.3%
424 1
0.3%
339 1
0.3%

2008-07
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)42.0%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean106.33577
Minimum1
Maximum9258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:17.807199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median31
Q364.75
95-th percentile277.4
Maximum9258
Range9257
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation586.01157
Coefficient of variation (CV)5.5109545
Kurtosis220.60164
Mean106.33577
Median Absolute Deviation (MAD)26
Skewness14.313549
Sum29136
Variance343409.56
MonotonicityNot monotonic
2024-04-06T17:17:18.222624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
1 12
 
4.0%
4 11
 
3.6%
2 11
 
3.6%
5 9
 
3.0%
9 8
 
2.6%
6 8
 
2.6%
11 6
 
2.0%
39 5
 
1.7%
31 5
 
1.7%
Other values (105) 180
59.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 12
4.0%
2 11
3.6%
3 19
6.3%
4 11
3.6%
5 9
3.0%
6 8
2.6%
7 2
 
0.7%
8 2
 
0.7%
9 8
2.6%
10 3
 
1.0%
ValueCountFrequency (%)
9258 1
0.3%
2362 1
0.3%
1353 1
0.3%
867 1
0.3%
619 1
0.3%
607 1
0.3%
482 1
0.3%
402 1
0.3%
389 1
0.3%
378 1
0.3%

2008-08
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)38.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean78.547445
Minimum0
Maximum6817
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:18.519615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median23
Q351.75
95-th percentile219.9
Maximum6817
Range6817
Interquartile range (IQR)45.75

Descriptive statistics

Standard deviation428.48498
Coefficient of variation (CV)5.4551103
Kurtosis226.59122
Mean78.547445
Median Absolute Deviation (MAD)19
Skewness14.542958
Sum21522
Variance183599.38
MonotonicityNot monotonic
2024-04-06T17:17:18.804165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 23
 
7.6%
3 15
 
5.0%
1 12
 
4.0%
6 11
 
3.6%
5 8
 
2.6%
23 8
 
2.6%
19 7
 
2.3%
4 7
 
2.3%
7 6
 
2.0%
31 6
 
2.0%
Other values (96) 171
56.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 12
4.0%
2 23
7.6%
3 15
5.0%
4 7
 
2.3%
5 8
 
2.6%
6 11
3.6%
7 6
 
2.0%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
6817 1
0.3%
1562 1
0.3%
890 1
0.3%
524 1
0.3%
515 1
0.3%
461 1
0.3%
403 1
0.3%
383 1
0.3%
326 1
0.3%
289 1
0.3%

2008-09
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)35.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean73.350365
Minimum1
Maximum6396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:19.104281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median20
Q345
95-th percentile204.55
Maximum6396
Range6395
Interquartile range (IQR)39

Descriptive statistics

Standard deviation401.18661
Coefficient of variation (CV)5.4694562
Kurtosis228.46936
Mean73.350365
Median Absolute Deviation (MAD)16
Skewness14.613491
Sum20098
Variance160950.7
MonotonicityNot monotonic
2024-04-06T17:17:19.464195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17
 
5.6%
3 17
 
5.6%
1 15
 
5.0%
19 12
 
4.0%
4 10
 
3.3%
5 9
 
3.0%
11 7
 
2.3%
20 6
 
2.0%
10 6
 
2.0%
6 6
 
2.0%
Other values (87) 169
56.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 15
5.0%
2 17
5.6%
3 17
5.6%
4 10
3.3%
5 9
3.0%
6 6
 
2.0%
7 5
 
1.7%
8 4
 
1.3%
9 2
 
0.7%
10 6
 
2.0%
ValueCountFrequency (%)
6396 1
0.3%
1416 1
0.3%
729 1
0.3%
507 1
0.3%
478 1
0.3%
416 1
0.3%
390 1
0.3%
357 1
0.3%
355 1
0.3%
312 1
0.3%

2008-10
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)36.5%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean77.521898
Minimum0
Maximum6757
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:19.728956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q17
median19
Q348.5
95-th percentile258.85
Maximum6757
Range6757
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation422.26084
Coefficient of variation (CV)5.446988
Kurtosis231.69793
Mean77.521898
Median Absolute Deviation (MAD)15.5
Skewness14.725212
Sum21241
Variance178304.22
MonotonicityNot monotonic
2024-04-06T17:17:20.010425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
3 15
 
5.0%
1 13
 
4.3%
7 10
 
3.3%
11 9
 
3.0%
19 8
 
2.6%
4 8
 
2.6%
5 8
 
2.6%
14 7
 
2.3%
9 7
 
2.3%
Other values (90) 171
56.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.3%
2 18
6.0%
3 15
5.0%
4 8
2.6%
5 8
2.6%
6 5
 
1.7%
7 10
3.3%
8 5
 
1.7%
9 7
 
2.3%
ValueCountFrequency (%)
6757 1
0.3%
1282 1
0.3%
692 1
0.3%
683 1
0.3%
462 1
0.3%
457 1
0.3%
436 1
0.3%
386 1
0.3%
360 1
0.3%
359 1
0.3%

2008-11
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)32.5%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean60.963504
Minimum0
Maximum5323
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:20.330204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median16
Q338
95-th percentile210.65
Maximum5323
Range5323
Interquartile range (IQR)33

Descriptive statistics

Standard deviation333.11094
Coefficient of variation (CV)5.4641043
Kurtosis230.521
Mean60.963504
Median Absolute Deviation (MAD)13
Skewness14.687655
Sum16704
Variance110962.9
MonotonicityNot monotonic
2024-04-06T17:17:20.665230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
7.0%
3 16
 
5.3%
1 14
 
4.6%
4 13
 
4.3%
10 10
 
3.3%
9 9
 
3.0%
6 7
 
2.3%
12 7
 
2.3%
19 7
 
2.3%
8 6
 
2.0%
Other values (79) 164
54.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 3
 
1.0%
1 14
4.6%
2 21
7.0%
3 16
5.3%
4 13
4.3%
5 5
 
1.7%
6 7
 
2.3%
7 6
 
2.0%
8 6
 
2.0%
9 9
3.0%
ValueCountFrequency (%)
5323 1
0.3%
1112 1
0.3%
488 1
0.3%
397 1
0.3%
390 1
0.3%
381 1
0.3%
373 1
0.3%
338 1
0.3%
304 1
0.3%
275 1
0.3%

2008-12
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)32.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean61.507299
Minimum1
Maximum5416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:21.525738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median15
Q336
95-th percentile165.55
Maximum5416
Range5415
Interquartile range (IQR)30

Descriptive statistics

Standard deviation339.87424
Coefficient of variation (CV)5.5257546
Kurtosis228.0266
Mean61.507299
Median Absolute Deviation (MAD)12
Skewness14.578894
Sum16853
Variance115514.5
MonotonicityNot monotonic
2024-04-06T17:17:21.796986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
7.0%
3 16
 
5.3%
1 16
 
5.3%
6 11
 
3.6%
12 10
 
3.3%
4 10
 
3.3%
7 9
 
3.0%
10 8
 
2.6%
8 8
 
2.6%
24 8
 
2.6%
Other values (80) 157
52.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 16
5.3%
2 21
7.0%
3 16
5.3%
4 10
3.3%
5 5
 
1.7%
6 11
3.6%
7 9
3.0%
8 8
 
2.6%
9 7
 
2.3%
10 8
 
2.6%
ValueCountFrequency (%)
5416 1
0.3%
1101 1
0.3%
628 1
0.3%
603 1
0.3%
400 1
0.3%
395 1
0.3%
376 1
0.3%
310 1
0.3%
299 1
0.3%
271 1
0.3%

2009-01
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)27.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean51.372263
Minimum0
Maximum4490
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:22.146683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median12
Q332.75
95-th percentile137.3
Maximum4490
Range4490
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation281.32316
Coefficient of variation (CV)5.4761683
Kurtosis229.37229
Mean51.372263
Median Absolute Deviation (MAD)10
Skewness14.634718
Sum14076
Variance79142.718
MonotonicityNot monotonic
2024-04-06T17:17:22.460851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
8.6%
2 23
 
7.6%
4 13
 
4.3%
7 11
 
3.6%
11 11
 
3.6%
3 10
 
3.3%
10 10
 
3.3%
9 8
 
2.6%
5 8
 
2.6%
8 7
 
2.3%
Other values (66) 147
48.7%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 2
 
0.7%
1 26
8.6%
2 23
7.6%
3 10
 
3.3%
4 13
4.3%
5 8
 
2.6%
6 6
 
2.0%
7 11
3.6%
8 7
 
2.3%
9 8
 
2.6%
ValueCountFrequency (%)
4490 1
0.3%
900 1
0.3%
503 1
0.3%
494 1
0.3%
330 1
0.3%
301 1
0.3%
300 1
0.3%
256 1
0.3%
245 1
0.3%
216 1
0.3%

2009-02
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)36.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean68.368613
Minimum0
Maximum5915
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:22.717181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median17.5
Q346
95-th percentile187.1
Maximum5915
Range5915
Interquartile range (IQR)40

Descriptive statistics

Standard deviation372.04355
Coefficient of variation (CV)5.4417302
Kurtosis225.95356
Mean68.368613
Median Absolute Deviation (MAD)14.5
Skewness14.514921
Sum18733
Variance138416.4
MonotonicityNot monotonic
2024-04-06T17:17:23.006552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.6%
3 13
 
4.3%
1 12
 
4.0%
4 12
 
4.0%
7 9
 
3.0%
9 9
 
3.0%
6 9
 
3.0%
20 7
 
2.3%
5 7
 
2.3%
15 7
 
2.3%
Other values (91) 169
56.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 12
4.0%
2 20
6.6%
3 13
4.3%
4 12
4.0%
5 7
 
2.3%
6 9
3.0%
7 9
3.0%
8 5
 
1.7%
9 9
3.0%
ValueCountFrequency (%)
5915 1
0.3%
1376 1
0.3%
705 1
0.3%
509 1
0.3%
470 1
0.3%
363 1
0.3%
327 1
0.3%
317 1
0.3%
313 1
0.3%
305 1
0.3%

2009-03
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)40.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean86.781022
Minimum1
Maximum7498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:23.292071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median22
Q354
95-th percentile233.8
Maximum7498
Range7497
Interquartile range (IQR)48

Descriptive statistics

Standard deviation471.40154
Coefficient of variation (CV)5.432081
Kurtosis226.30529
Mean86.781022
Median Absolute Deviation (MAD)18
Skewness14.524444
Sum23778
Variance222219.41
MonotonicityNot monotonic
2024-04-06T17:17:23.592887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
7.0%
5 15
 
5.0%
3 10
 
3.3%
4 9
 
3.0%
6 8
 
2.6%
1 7
 
2.3%
12 7
 
2.3%
10 6
 
2.0%
11 6
 
2.0%
8 6
 
2.0%
Other values (100) 179
59.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 7
 
2.3%
2 21
7.0%
3 10
3.3%
4 9
3.0%
5 15
5.0%
6 8
 
2.6%
7 5
 
1.7%
8 6
 
2.0%
9 4
 
1.3%
10 6
 
2.0%
ValueCountFrequency (%)
7498 1
0.3%
1715 1
0.3%
881 1
0.3%
628 1
0.3%
510 1
0.3%
498 1
0.3%
471 1
0.3%
465 1
0.3%
434 1
0.3%
350 1
0.3%

2009-04
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)39.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean90.167883
Minimum1
Maximum7731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:23.868727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median26.5
Q356
95-th percentile252.05
Maximum7731
Range7730
Interquartile range (IQR)50

Descriptive statistics

Standard deviation489.52259
Coefficient of variation (CV)5.4290128
Kurtosis220.11603
Mean90.167883
Median Absolute Deviation (MAD)21.5
Skewness14.287252
Sum24706
Variance239632.37
MonotonicityNot monotonic
2024-04-06T17:17:24.177364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 15
 
5.0%
5 12
 
4.0%
4 10
 
3.3%
7 9
 
3.0%
1 8
 
2.6%
6 7
 
2.3%
18 6
 
2.0%
27 6
 
2.0%
25 6
 
2.0%
Other values (98) 176
58.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 8
2.6%
2 15
5.0%
3 19
6.3%
4 10
3.3%
5 12
4.0%
6 7
 
2.3%
7 9
3.0%
8 5
 
1.7%
9 3
 
1.0%
10 4
 
1.3%
ValueCountFrequency (%)
7731 1
0.3%
1961 1
0.3%
1147 1
0.3%
574 1
0.3%
564 1
0.3%
528 1
0.3%
470 1
0.3%
414 1
0.3%
361 1
0.3%
324 1
0.3%

2009-05
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)38.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean85.919708
Minimum0
Maximum7349
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:24.489979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q16
median27
Q355
95-th percentile238.7
Maximum7349
Range7349
Interquartile range (IQR)49

Descriptive statistics

Standard deviation467.09569
Coefficient of variation (CV)5.4364208
Kurtosis217.01824
Mean85.919708
Median Absolute Deviation (MAD)23
Skewness14.17956
Sum23542
Variance218178.38
MonotonicityNot monotonic
2024-04-06T17:17:24.878808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
3 17
 
5.6%
1 13
 
4.3%
4 10
 
3.3%
5 9
 
3.0%
8 8
 
2.6%
25 7
 
2.3%
31 7
 
2.3%
7 5
 
1.7%
47 5
 
1.7%
Other values (96) 175
57.9%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.3%
2 18
6.0%
3 17
5.6%
4 10
3.3%
5 9
3.0%
6 5
 
1.7%
7 5
 
1.7%
8 8
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
7349 1
0.3%
1983 1
0.3%
1210 1
0.3%
560 1
0.3%
463 1
0.3%
418 1
0.3%
391 1
0.3%
345 1
0.3%
316 1
0.3%
308 1
0.3%

2009-06
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)42.0%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean98.916058
Minimum1
Maximum8493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:25.190256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.25
median30
Q366.75
95-th percentile277.5
Maximum8493
Range8492
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation537.41007
Coefficient of variation (CV)5.4329911
Kurtosis220.70152
Mean98.916058
Median Absolute Deviation (MAD)25
Skewness14.315228
Sum27103
Variance288809.58
MonotonicityNot monotonic
2024-04-06T17:17:25.539340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
4 13
 
4.3%
2 13
 
4.3%
1 12
 
4.0%
5 9
 
3.0%
30 8
 
2.6%
6 7
 
2.3%
9 7
 
2.3%
7 6
 
2.0%
28 6
 
2.0%
Other values (105) 178
58.9%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 12
4.0%
2 13
4.3%
3 15
5.0%
4 13
4.3%
5 9
3.0%
6 7
2.3%
7 6
 
2.0%
8 4
 
1.3%
9 7
2.3%
10 2
 
0.7%
ValueCountFrequency (%)
8493 1
0.3%
2104 1
0.3%
1393 1
0.3%
748 1
0.3%
498 1
0.3%
492 1
0.3%
462 1
0.3%
448 1
0.3%
372 1
0.3%
358 1
0.3%

2009-07
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)43.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean106.96715
Minimum1
Maximum9184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:25.844614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.25
median30
Q363.75
95-th percentile292.55
Maximum9184
Range9183
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation581.40276
Coefficient of variation (CV)5.4353392
Kurtosis220.26707
Mean106.96715
Median Absolute Deviation (MAD)25
Skewness14.289982
Sum29309
Variance338029.17
MonotonicityNot monotonic
2024-04-06T17:17:26.098052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
4 13
 
4.3%
3 11
 
3.6%
1 10
 
3.3%
6 9
 
3.0%
12 9
 
3.0%
8 8
 
2.6%
5 6
 
2.0%
42 5
 
1.7%
13 5
 
1.7%
Other values (109) 182
60.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 10
3.3%
2 16
5.3%
3 11
3.6%
4 13
4.3%
5 6
 
2.0%
6 9
3.0%
7 4
 
1.3%
8 8
2.6%
9 1
 
0.3%
10 4
 
1.3%
ValueCountFrequency (%)
9184 1
0.3%
2275 1
0.3%
1443 1
0.3%
719 1
0.3%
679 1
0.3%
552 1
0.3%
533 1
0.3%
516 1
0.3%
452 1
0.3%
398 1
0.3%

2009-08
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)40.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean96.357664
Minimum1
Maximum8311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:26.387396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median30
Q361
95-th percentile247.25
Maximum8311
Range8310
Interquartile range (IQR)55

Descriptive statistics

Standard deviation525.92017
Coefficient of variation (CV)5.4580004
Kurtosis220.73036
Mean96.357664
Median Absolute Deviation (MAD)25
Skewness14.318628
Sum26402
Variance276592.03
MonotonicityNot monotonic
2024-04-06T17:17:26.689361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
3 15
 
5.0%
4 14
 
4.6%
6 11
 
3.6%
8 9
 
3.0%
5 7
 
2.3%
1 7
 
2.3%
26 6
 
2.0%
7 6
 
2.0%
69 6
 
2.0%
Other values (100) 177
58.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 7
2.3%
2 16
5.3%
3 15
5.0%
4 14
4.6%
5 7
2.3%
6 11
3.6%
7 6
 
2.0%
8 9
3.0%
9 5
 
1.7%
10 2
 
0.7%
ValueCountFrequency (%)
8311 1
0.3%
2082 1
0.3%
1348 1
0.3%
642 1
0.3%
480 1
0.3%
463 1
0.3%
459 1
0.3%
434 1
0.3%
430 1
0.3%
374 1
0.3%

2009-09
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)43.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean109.93066
Minimum0
Maximum9469
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:27.050010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median34.5
Q369
95-th percentile304.4
Maximum9469
Range9469
Interquartile range (IQR)61

Descriptive statistics

Standard deviation602.0995
Coefficient of variation (CV)5.4770845
Kurtosis216.7497
Mean109.93066
Median Absolute Deviation (MAD)28.5
Skewness14.170205
Sum30121
Variance362523.81
MonotonicityNot monotonic
2024-04-06T17:17:27.354675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
2 15
 
5.0%
4 13
 
4.3%
1 10
 
3.3%
9 8
 
2.6%
5 7
 
2.3%
11 7
 
2.3%
8 7
 
2.3%
48 6
 
2.0%
58 5
 
1.7%
Other values (108) 181
59.9%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 10
3.3%
2 15
5.0%
3 15
5.0%
4 13
4.3%
5 7
2.3%
6 3
 
1.0%
7 3
 
1.0%
8 7
2.3%
9 8
2.6%
ValueCountFrequency (%)
9469 1
0.3%
2584 1
0.3%
1513 1
0.3%
732 1
0.3%
678 1
0.3%
540 1
0.3%
498 1
0.3%
402 1
0.3%
387 1
0.3%
384 1
0.3%

2009-10
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.8%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean107.23723
Minimum1
Maximum9249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:27.770315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17.25
median33
Q371
95-th percentile261.4
Maximum9249
Range9248
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation585.89754
Coefficient of variation (CV)5.4635649
Kurtosis219.85791
Mean107.23723
Median Absolute Deviation (MAD)28
Skewness14.286359
Sum29383
Variance343275.93
MonotonicityNot monotonic
2024-04-06T17:17:28.115755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
1 15
 
5.0%
4 14
 
4.6%
5 10
 
3.3%
3 9
 
3.0%
8 6
 
2.0%
9 6
 
2.0%
12 6
 
2.0%
10 5
 
1.7%
11 5
 
1.7%
Other values (110) 182
60.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 15
5.0%
2 16
5.3%
3 9
3.0%
4 14
4.6%
5 10
3.3%
6 4
 
1.3%
7 1
 
0.3%
8 6
 
2.0%
9 6
 
2.0%
10 5
 
1.7%
ValueCountFrequency (%)
9249 1
0.3%
2382 1
0.3%
1431 1
0.3%
762 1
0.3%
701 1
0.3%
548 1
0.3%
473 1
0.3%
435 1
0.3%
371 1
0.3%
370 1
0.3%

2009-11
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)43.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean96.273723
Minimum0
Maximum8290
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:28.377151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median29
Q359.5
95-th percentile287.35
Maximum8290
Range8290
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation523.02129
Coefficient of variation (CV)5.4326484
Kurtosis223.31726
Mean96.273723
Median Absolute Deviation (MAD)24
Skewness14.419736
Sum26379
Variance273551.27
MonotonicityNot monotonic
2024-04-06T17:17:28.716698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17
 
5.6%
5 12
 
4.0%
3 12
 
4.0%
4 11
 
3.6%
1 9
 
3.0%
8 8
 
2.6%
6 6
 
2.0%
41 6
 
2.0%
7 6
 
2.0%
9 5
 
1.7%
Other values (108) 182
60.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 9
3.0%
2 17
5.6%
3 12
4.0%
4 11
3.6%
5 12
4.0%
6 6
 
2.0%
7 6
 
2.0%
8 8
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
8290 1
0.3%
2063 1
0.3%
1058 1
0.3%
746 1
0.3%
568 1
0.3%
491 1
0.3%
428 1
0.3%
398 1
0.3%
394 1
0.3%
341 1
0.3%

2009-12
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)39.1%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean100.82482
Minimum1
Maximum8728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:29.137197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median30
Q364
95-th percentile266.85
Maximum8728
Range8727
Interquartile range (IQR)56

Descriptive statistics

Standard deviation550.83704
Coefficient of variation (CV)5.4633081
Kurtosis223.11789
Mean100.82482
Median Absolute Deviation (MAD)25
Skewness14.415221
Sum27626
Variance303421.44
MonotonicityNot monotonic
2024-04-06T17:17:30.022171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
5 14
 
4.6%
1 12
 
4.0%
8 9
 
3.0%
2 9
 
3.0%
4 7
 
2.3%
10 7
 
2.3%
6 6
 
2.0%
11 6
 
2.0%
64 5
 
1.7%
Other values (97) 183
60.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 12
4.0%
2 9
3.0%
3 16
5.3%
4 7
2.3%
5 14
4.6%
6 6
 
2.0%
7 1
 
0.3%
8 9
3.0%
9 5
 
1.7%
10 7
2.3%
ValueCountFrequency (%)
8728 1
0.3%
2208 1
0.3%
1011 1
0.3%
790 1
0.3%
749 1
0.3%
483 1
0.3%
427 1
0.3%
404 1
0.3%
395 1
0.3%
389 2
0.7%

2010-01
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)34.7%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean71.843066
Minimum0
Maximum6228
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:30.315573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q15
median21
Q349
95-th percentile202.15
Maximum6228
Range6228
Interquartile range (IQR)44

Descriptive statistics

Standard deviation391.6356
Coefficient of variation (CV)5.4512651
Kurtosis226.18248
Mean71.843066
Median Absolute Deviation (MAD)17.5
Skewness14.526376
Sum19685
Variance153378.44
MonotonicityNot monotonic
2024-04-06T17:17:30.566707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
7.0%
2 20
 
6.6%
1 13
 
4.3%
8 12
 
4.0%
5 9
 
3.0%
4 9
 
3.0%
21 7
 
2.3%
6 7
 
2.3%
35 6
 
2.0%
19 6
 
2.0%
Other values (85) 164
54.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.3%
2 20
6.6%
3 21
7.0%
4 9
3.0%
5 9
3.0%
6 7
 
2.3%
7 5
 
1.7%
8 12
4.0%
9 6
 
2.0%
ValueCountFrequency (%)
6228 1
0.3%
1431 1
0.3%
768 1
0.3%
595 1
0.3%
592 1
0.3%
328 1
0.3%
311 1
0.3%
308 1
0.3%
261 1
0.3%
257 1
0.3%

2010-02
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)36.5%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean78.762774
Minimum0
Maximum6844
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:30.853972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15.25
median23
Q352
95-th percentile192.8
Maximum6844
Range6844
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation429.21634
Coefficient of variation (CV)5.4494823
Kurtosis228.52674
Mean78.762774
Median Absolute Deviation (MAD)19
Skewness14.611445
Sum21581
Variance184226.67
MonotonicityNot monotonic
2024-04-06T17:17:31.215375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.6%
3 17
 
5.6%
5 14
 
4.6%
12 10
 
3.3%
4 9
 
3.0%
37 8
 
2.6%
1 8
 
2.6%
9 7
 
2.3%
28 7
 
2.3%
7 7
 
2.3%
Other values (90) 167
55.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
 
2.6%
2 20
6.6%
3 17
5.6%
4 9
3.0%
5 14
4.6%
6 6
 
2.0%
7 7
 
2.3%
8 5
 
1.7%
9 7
 
2.3%
ValueCountFrequency (%)
6844 1
0.3%
1447 1
0.3%
877 1
0.3%
633 1
0.3%
585 1
0.3%
433 1
0.3%
401 1
0.3%
382 1
0.3%
347 1
0.3%
321 1
0.3%

2010-03
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)40.9%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean118.33942
Minimum0
Maximum10414
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:31.558876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median30.5
Q360.5
95-th percentile302.85
Maximum10414
Range10414
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation670.12981
Coefficient of variation (CV)5.6627778
Kurtosis206.73279
Mean118.33942
Median Absolute Deviation (MAD)24.5
Skewness13.72171
Sum32425
Variance449073.97
MonotonicityNot monotonic
2024-04-06T17:17:31.824699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
3 14
 
4.6%
2 11
 
3.6%
9 9
 
3.0%
6 9
 
3.0%
1 8
 
2.6%
10 7
 
2.3%
14 7
 
2.3%
5 5
 
1.7%
7 5
 
1.7%
Other values (102) 185
61.3%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 11
3.6%
3 14
4.6%
4 14
4.6%
5 5
 
1.7%
6 9
3.0%
7 5
 
1.7%
8 4
 
1.3%
9 9
3.0%
ValueCountFrequency (%)
10414 1
0.3%
2707 1
0.3%
1988 1
0.3%
1416 1
0.3%
1094 1
0.3%
946 1
0.3%
658 1
0.3%
600 1
0.3%
431 1
0.3%
405 1
0.3%

2010-04
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)39.4%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean89.375912
Minimum1
Maximum7768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:32.095174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median27.5
Q359
95-th percentile249.05
Maximum7768
Range7767
Interquartile range (IQR)52

Descriptive statistics

Standard deviation487.68949
Coefficient of variation (CV)5.4566099
Kurtosis227.61322
Mean89.375912
Median Absolute Deviation (MAD)22.5
Skewness14.580994
Sum24489
Variance237841.04
MonotonicityNot monotonic
2024-04-06T17:17:32.405634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
3 13
 
4.3%
1 11
 
3.6%
6 11
 
3.6%
2 10
 
3.3%
9 9
 
3.0%
7 7
 
2.3%
11 6
 
2.0%
33 6
 
2.0%
8 5
 
1.7%
Other values (98) 181
59.9%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 11
3.6%
2 10
3.3%
3 13
4.3%
4 15
5.0%
5 5
 
1.7%
6 11
3.6%
7 7
2.3%
8 5
 
1.7%
9 9
3.0%
10 4
 
1.3%
ValueCountFrequency (%)
7768 1
0.3%
1725 1
0.3%
893 1
0.3%
815 1
0.3%
699 1
0.3%
441 1
0.3%
401 1
0.3%
396 1
0.3%
395 1
0.3%
333 1
0.3%

2010-05
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)37.2%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean75.875912
Minimum0
Maximum6607
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:32.711517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median24
Q348.75
95-th percentile217.3
Maximum6607
Range6607
Interquartile range (IQR)43.75

Descriptive statistics

Standard deviation414.71461
Coefficient of variation (CV)5.4656953
Kurtosis227.83351
Mean75.875912
Median Absolute Deviation (MAD)20
Skewness14.591534
Sum20790
Variance171988.21
MonotonicityNot monotonic
2024-04-06T17:17:33.030281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
6.0%
4 17
 
5.6%
2 16
 
5.3%
1 10
 
3.3%
11 10
 
3.3%
5 9
 
3.0%
47 7
 
2.3%
9 6
 
2.0%
10 5
 
1.7%
35 5
 
1.7%
Other values (92) 171
56.6%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 10
3.3%
2 16
5.3%
3 18
6.0%
4 17
5.6%
5 9
3.0%
6 5
 
1.7%
7 4
 
1.3%
8 1
 
0.3%
9 6
 
2.0%
ValueCountFrequency (%)
6607 1
0.3%
1481 1
0.3%
699 1
0.3%
671 1
0.3%
623 1
0.3%
383 1
0.3%
359 1
0.3%
343 1
0.3%
318 1
0.3%
304 1
0.3%

2010-06
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)35.0%
Missing28
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean79.463504
Minimum1
Maximum6856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:33.339023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median24.5
Q351.75
95-th percentile243.7
Maximum6856
Range6855
Interquartile range (IQR)45.75

Descriptive statistics

Standard deviation431.06892
Coefficient of variation (CV)5.4247409
Kurtosis226.32851
Mean79.463504
Median Absolute Deviation (MAD)20.5
Skewness14.538383
Sum21773
Variance185820.41
MonotonicityNot monotonic
2024-04-06T17:17:33.620027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 14
 
4.6%
1 13
 
4.3%
4 12
 
4.0%
5 10
 
3.3%
10 8
 
2.6%
6 7
 
2.3%
7 7
 
2.3%
9 6
 
2.0%
12 6
 
2.0%
Other values (86) 172
57.0%
(Missing) 28
 
9.3%
ValueCountFrequency (%)
1 13
4.3%
2 14
4.6%
3 19
6.3%
4 12
4.0%
5 10
3.3%
6 7
 
2.3%
7 7
 
2.3%
8 2
 
0.7%
9 6
 
2.0%
10 8
2.6%
ValueCountFrequency (%)
6856 1
0.3%
1643 1
0.3%
663 1
0.3%
630 1
0.3%
588 1
0.3%
414 1
0.3%
373 1
0.3%
348 1
0.3%
339 1
0.3%
305 1
0.3%

2010-07
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)36.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean74.750903
Minimum0
Maximum6472
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:33.977887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median23
Q348
95-th percentile252.6
Maximum6472
Range6472
Interquartile range (IQR)42

Descriptive statistics

Standard deviation404.37813
Coefficient of variation (CV)5.4096756
Kurtosis229.56886
Mean74.750903
Median Absolute Deviation (MAD)19
Skewness14.648101
Sum20706
Variance163521.67
MonotonicityNot monotonic
2024-04-06T17:17:34.308805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 20
 
6.6%
4 15
 
5.0%
7 11
 
3.6%
1 11
 
3.6%
5 11
 
3.6%
2 11
 
3.6%
16 9
 
3.0%
6 7
 
2.3%
8 7
 
2.3%
21 6
 
2.0%
Other values (92) 169
56.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 11
3.6%
2 11
3.6%
3 20
6.6%
4 15
5.0%
5 11
3.6%
6 7
 
2.3%
7 11
3.6%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
6472 1
0.3%
1544 1
0.3%
576 1
0.3%
575 1
0.3%
516 1
0.3%
389 1
0.3%
338 1
0.3%
332 1
0.3%
308 1
0.3%
305 1
0.3%

2010-08
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)35.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean69.819495
Minimum0
Maximum6048
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:34.646977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median19
Q343
95-th percentile209.6
Maximum6048
Range6048
Interquartile range (IQR)37

Descriptive statistics

Standard deviation377.68545
Coefficient of variation (CV)5.4094555
Kurtosis229.9836
Mean69.819495
Median Absolute Deviation (MAD)15
Skewness14.656568
Sum19340
Variance142646.3
MonotonicityNot monotonic
2024-04-06T17:17:34.929399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
5.0%
3 14
 
4.6%
2 14
 
4.6%
4 12
 
4.0%
1 11
 
3.6%
7 9
 
3.0%
6 8
 
2.6%
11 7
 
2.3%
9 7
 
2.3%
8 6
 
2.0%
Other values (89) 174
57.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 11
3.6%
2 14
4.6%
3 14
4.6%
4 12
4.0%
5 15
5.0%
6 8
2.6%
7 9
3.0%
8 6
 
2.0%
9 7
2.3%
ValueCountFrequency (%)
6048 1
0.3%
1391 1
0.3%
601 1
0.3%
546 1
0.3%
487 1
0.3%
349 1
0.3%
339 1
0.3%
336 1
0.3%
305 1
0.3%
289 1
0.3%

2010-09
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)33.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean66.978339
Minimum0
Maximum5830
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:35.232853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q15
median19
Q342
95-th percentile205.8
Maximum5830
Range5830
Interquartile range (IQR)37

Descriptive statistics

Standard deviation363.57295
Coefficient of variation (CV)5.4282168
Kurtosis231.22974
Mean66.978339
Median Absolute Deviation (MAD)16
Skewness14.700514
Sum18553
Variance132185.29
MonotonicityNot monotonic
2024-04-06T17:17:35.493217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
7.0%
2 19
 
6.3%
1 13
 
4.3%
4 13
 
4.3%
7 11
 
3.6%
6 9
 
3.0%
10 8
 
2.6%
13 8
 
2.6%
5 6
 
2.0%
19 5
 
1.7%
Other values (82) 164
54.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 13
4.3%
2 19
6.3%
3 21
7.0%
4 13
4.3%
5 6
 
2.0%
6 9
3.0%
7 11
3.6%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
5830 1
0.3%
1289 1
0.3%
545 1
0.3%
490 1
0.3%
469 1
0.3%
401 1
0.3%
367 1
0.3%
348 1
0.3%
325 1
0.3%
294 1
0.3%

2010-10
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)39.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.465704
Minimum1
Maximum7239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:35.830345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median24
Q355
95-th percentile247.8
Maximum7239
Range7238
Interquartile range (IQR)49

Descriptive statistics

Standard deviation452.07651
Coefficient of variation (CV)5.4163146
Kurtosis229.97262
Mean83.465704
Median Absolute Deviation (MAD)20
Skewness14.658061
Sum23120
Variance204373.17
MonotonicityNot monotonic
2024-04-06T17:17:36.131896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.6%
3 15
 
5.0%
5 12
 
4.0%
1 9
 
3.0%
4 8
 
2.6%
10 7
 
2.3%
34 7
 
2.3%
11 6
 
2.0%
6 6
 
2.0%
14 6
 
2.0%
Other values (100) 181
59.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 9
3.0%
2 20
6.6%
3 15
5.0%
4 8
 
2.6%
5 12
4.0%
6 6
 
2.0%
7 5
 
1.7%
8 4
 
1.3%
9 6
 
2.0%
10 7
 
2.3%
ValueCountFrequency (%)
7239 1
0.3%
1669 1
0.3%
685 1
0.3%
681 1
0.3%
631 1
0.3%
431 1
0.3%
419 1
0.3%
405 1
0.3%
371 1
0.3%
335 1
0.3%

2010-11
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.3%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.98195
Minimum1
Maximum9056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:36.437790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median29
Q370
95-th percentile303
Maximum9056
Range9055
Interquartile range (IQR)63

Descriptive statistics

Standard deviation567.87252
Coefficient of variation (CV)5.4612606
Kurtosis226.43627
Mean103.98195
Median Absolute Deviation (MAD)25
Skewness14.524515
Sum28803
Variance322479.2
MonotonicityNot monotonic
2024-04-06T17:17:36.738417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
3 12
 
4.0%
4 12
 
4.0%
1 10
 
3.3%
5 9
 
3.0%
12 8
 
2.6%
7 8
 
2.6%
6 5
 
1.7%
13 5
 
1.7%
44 4
 
1.3%
Other values (110) 186
61.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 10
3.3%
2 18
6.0%
3 12
4.0%
4 12
4.0%
5 9
3.0%
6 5
 
1.7%
7 8
2.6%
8 3
 
1.0%
9 2
 
0.7%
10 2
 
0.7%
ValueCountFrequency (%)
9056 1
0.3%
2251 1
0.3%
935 1
0.3%
883 1
0.3%
752 1
0.3%
528 1
0.3%
502 1
0.3%
457 1
0.3%
422 1
0.3%
406 1
0.3%

2010-12
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean136.83394
Minimum1
Maximum11809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:37.019604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median39
Q390
95-th percentile371.6
Maximum11809
Range11808
Interquartile range (IQR)82

Descriptive statistics

Standard deviation739.24203
Coefficient of variation (CV)5.4024759
Kurtosis227.68496
Mean136.83394
Median Absolute Deviation (MAD)35
Skewness14.553299
Sum37903
Variance546478.78
MonotonicityNot monotonic
2024-04-06T17:17:37.303833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
5.6%
3 15
 
5.0%
2 14
 
4.6%
8 8
 
2.6%
1 7
 
2.3%
52 5
 
1.7%
7 5
 
1.7%
5 5
 
1.7%
10 5
 
1.7%
6 4
 
1.3%
Other values (120) 192
63.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 7
2.3%
2 14
4.6%
3 15
5.0%
4 17
5.6%
5 5
 
1.7%
6 4
 
1.3%
7 5
 
1.7%
8 8
2.6%
9 2
 
0.7%
10 5
 
1.7%
ValueCountFrequency (%)
11809 1
0.3%
2689 1
0.3%
1250 1
0.3%
1221 1
0.3%
1064 1
0.3%
843 1
0.3%
638 1
0.3%
635 1
0.3%
603 1
0.3%
539 1
0.3%

2011-01
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)41.5%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.104693
Minimum0
Maximum7801
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:37.583233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median26
Q361
95-th percentile236.8
Maximum7801
Range7801
Interquartile range (IQR)56

Descriptive statistics

Standard deviation488.89197
Coefficient of variation (CV)5.4258214
Kurtosis226.8015
Mean90.104693
Median Absolute Deviation (MAD)22
Skewness14.530668
Sum24959
Variance239015.36
MonotonicityNot monotonic
2024-04-06T17:17:37.872451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 23
 
7.6%
1 16
 
5.3%
4 12
 
4.0%
3 11
 
3.6%
5 8
 
2.6%
10 7
 
2.3%
26 7
 
2.3%
11 7
 
2.3%
15 6
 
2.0%
7 5
 
1.7%
Other values (105) 175
57.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 2
 
0.7%
1 16
5.3%
2 23
7.6%
3 11
3.6%
4 12
4.0%
5 8
 
2.6%
6 4
 
1.3%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
ValueCountFrequency (%)
7801 1
0.3%
1860 1
0.3%
937 1
0.3%
748 1
0.3%
700 1
0.3%
488 1
0.3%
408 1
0.3%
407 1
0.3%
391 1
0.3%
326 1
0.3%

2011-02
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)39.4%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.848375
Minimum0
Maximum7794
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:38.672100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median27
Q360
95-th percentile243
Maximum7794
Range7794
Interquartile range (IQR)53

Descriptive statistics

Standard deviation485.96252
Coefficient of variation (CV)5.4086957
Kurtosis231.31863
Mean89.848375
Median Absolute Deviation (MAD)23
Skewness14.701997
Sum24888
Variance236159.57
MonotonicityNot monotonic
2024-04-06T17:17:38.935686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
7.0%
2 17
 
5.6%
1 11
 
3.6%
5 8
 
2.6%
4 8
 
2.6%
10 7
 
2.3%
11 7
 
2.3%
43 7
 
2.3%
7 7
 
2.3%
8 7
 
2.3%
Other values (99) 177
58.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 11
3.6%
2 17
5.6%
3 21
7.0%
4 8
 
2.6%
5 8
 
2.6%
6 3
 
1.0%
7 7
 
2.3%
8 7
 
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
7794 1
0.3%
1657 1
0.3%
911 1
0.3%
757 1
0.3%
648 1
0.3%
527 1
0.3%
483 1
0.3%
434 1
0.3%
365 1
0.3%
356 1
0.3%

2011-03
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)43.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean116.84477
Minimum1
Maximum10121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:39.249204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median35
Q376
95-th percentile303.6
Maximum10121
Range10120
Interquartile range (IQR)68

Descriptive statistics

Standard deviation631.97348
Coefficient of variation (CV)5.4086589
Kurtosis230.0213
Mean116.84477
Median Absolute Deviation (MAD)30
Skewness14.654
Sum32366
Variance399390.48
MonotonicityNot monotonic
2024-04-06T17:17:39.538852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 13
 
4.3%
5 13
 
4.3%
4 12
 
4.0%
3 10
 
3.3%
10 7
 
2.3%
11 7
 
2.3%
6 7
 
2.3%
1 7
 
2.3%
13 6
 
2.0%
16 5
 
1.7%
Other values (111) 190
62.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 7
2.3%
2 13
4.3%
3 10
3.3%
4 12
4.0%
5 13
4.3%
6 7
2.3%
7 4
 
1.3%
8 4
 
1.3%
9 2
 
0.7%
10 7
2.3%
ValueCountFrequency (%)
10121 1
0.3%
2251 1
0.3%
1213 1
0.3%
912 1
0.3%
703 1
0.3%
699 1
0.3%
681 1
0.3%
598 1
0.3%
544 1
0.3%
404 1
0.3%

2011-04
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)42.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean110.36101
Minimum1
Maximum9584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:39.820455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median37
Q368
95-th percentile321.8
Maximum9584
Range9583
Interquartile range (IQR)60

Descriptive statistics

Standard deviation595.95108
Coefficient of variation (CV)5.4000147
Kurtosis233.75288
Mean110.36101
Median Absolute Deviation (MAD)29
Skewness14.791587
Sum30570
Variance355157.7
MonotonicityNot monotonic
2024-04-06T17:17:40.102736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14
 
4.6%
3 14
 
4.6%
4 12
 
4.0%
6 9
 
3.0%
1 8
 
2.6%
17 7
 
2.3%
16 7
 
2.3%
12 6
 
2.0%
60 6
 
2.0%
45 6
 
2.0%
Other values (107) 188
62.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 8
2.6%
2 14
4.6%
3 14
4.6%
4 12
4.0%
5 5
 
1.7%
6 9
3.0%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
9584 1
0.3%
1848 1
0.3%
1073 1
0.3%
1013 1
0.3%
794 1
0.3%
665 1
0.3%
570 1
0.3%
551 1
0.3%
467 1
0.3%
466 1
0.3%

2011-05
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)41.9%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean101.46209
Minimum1
Maximum8798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:40.369305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median32
Q364
95-th percentile290.8
Maximum8798
Range8797
Interquartile range (IQR)56

Descriptive statistics

Standard deviation546.87163
Coefficient of variation (CV)5.3899108
Kurtosis234.09055
Mean101.46209
Median Absolute Deviation (MAD)26
Skewness14.806088
Sum28105
Variance299068.58
MonotonicityNot monotonic
2024-04-06T17:17:40.718150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
5 12
 
4.0%
4 11
 
3.6%
2 11
 
3.6%
1 8
 
2.6%
16 6
 
2.0%
13 6
 
2.0%
14 6
 
2.0%
6 6
 
2.0%
11 6
 
2.0%
Other values (106) 189
62.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 8
2.6%
2 11
3.6%
3 16
5.3%
4 11
3.6%
5 12
4.0%
6 6
 
2.0%
7 5
 
1.7%
8 2
 
0.7%
9 4
 
1.3%
10 5
 
1.7%
ValueCountFrequency (%)
8798 1
0.3%
1706 1
0.3%
966 1
0.3%
876 1
0.3%
719 1
0.3%
594 1
0.3%
565 1
0.3%
512 1
0.3%
487 1
0.3%
425 1
0.3%

2011-06
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)41.2%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean97.65704
Minimum1
Maximum8492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:41.118331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median31
Q364
95-th percentile256
Maximum8492
Range8491
Interquartile range (IQR)55

Descriptive statistics

Standard deviation527.00486
Coefficient of variation (CV)5.3964861
Kurtosis235.58552
Mean97.65704
Median Absolute Deviation (MAD)25
Skewness14.862865
Sum27051
Variance277734.12
MonotonicityNot monotonic
2024-04-06T17:17:41.387125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
2 14
 
4.6%
4 14
 
4.6%
9 9
 
3.0%
13 9
 
3.0%
15 7
 
2.3%
11 6
 
2.0%
7 6
 
2.0%
10 6
 
2.0%
1 5
 
1.7%
Other values (104) 186
61.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 5
 
1.7%
2 14
4.6%
3 15
5.0%
4 14
4.6%
5 4
 
1.3%
6 5
 
1.7%
7 6
 
2.0%
8 5
 
1.7%
9 9
3.0%
10 6
 
2.0%
ValueCountFrequency (%)
8492 1
0.3%
1554 1
0.3%
911 1
0.3%
811 1
0.3%
684 1
0.3%
592 1
0.3%
584 1
0.3%
547 1
0.3%
482 1
0.3%
423 1
0.3%

2011-07
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)40.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.833935
Minimum1
Maximum8085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:41.624732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median29
Q358
95-th percentile261.6
Maximum8085
Range8084
Interquartile range (IQR)51

Descriptive statistics

Standard deviation502.03641
Coefficient of variation (CV)5.4078975
Kurtosis235.08787
Mean92.833935
Median Absolute Deviation (MAD)23
Skewness14.845047
Sum25715
Variance252040.55
MonotonicityNot monotonic
2024-04-06T17:17:41.917401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 12
 
4.0%
4 12
 
4.0%
6 11
 
3.6%
1 10
 
3.3%
5 7
 
2.3%
8 7
 
2.3%
10 6
 
2.0%
11 6
 
2.0%
34 5
 
1.7%
Other values (103) 185
61.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 10
3.3%
2 12
4.0%
3 16
5.3%
4 12
4.0%
5 7
2.3%
6 11
3.6%
7 3
 
1.0%
8 7
2.3%
9 2
 
0.7%
10 6
 
2.0%
ValueCountFrequency (%)
8085 1
0.3%
1546 1
0.3%
791 1
0.3%
719 1
0.3%
673 1
0.3%
592 1
0.3%
545 1
0.3%
514 1
0.3%
442 1
0.3%
431 1
0.3%

2011-08
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)40.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean93.729242
Minimum0
Maximum8183
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:42.247358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median30
Q359
95-th percentile275.8
Maximum8183
Range8183
Interquartile range (IQR)51

Descriptive statistics

Standard deviation508.68791
Coefficient of variation (CV)5.4272061
Kurtosis234.12667
Mean93.729242
Median Absolute Deviation (MAD)25
Skewness14.812953
Sum25963
Variance258763.39
MonotonicityNot monotonic
2024-04-06T17:17:42.475132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
5.3%
3 14
 
4.6%
5 12
 
4.0%
2 10
 
3.3%
14 7
 
2.3%
10 7
 
2.3%
13 7
 
2.3%
1 7
 
2.3%
8 7
 
2.3%
33 6
 
2.0%
Other values (103) 184
60.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.3%
2 10
3.3%
3 14
4.6%
4 16
5.3%
5 12
4.0%
6 4
 
1.3%
7 5
 
1.7%
8 7
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
8183 1
0.3%
1655 1
0.3%
885 1
0.3%
685 1
0.3%
591 1
0.3%
553 1
0.3%
535 1
0.3%
467 1
0.3%
460 1
0.3%
420 1
0.3%

2011-09
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)40.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.306859
Minimum0
Maximum7697
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:42.777617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median28
Q357
95-th percentile256.2
Maximum7697
Range7697
Interquartile range (IQR)50

Descriptive statistics

Standard deviation480.64086
Coefficient of variation (CV)5.4428485
Kurtosis230.1188
Mean88.306859
Median Absolute Deviation (MAD)22
Skewness14.667652
Sum24461
Variance231015.63
MonotonicityNot monotonic
2024-04-06T17:17:43.089968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
2 15
 
5.0%
3 13
 
4.3%
5 10
 
3.3%
46 8
 
2.6%
11 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
15 7
 
2.3%
35 6
 
2.0%
Other values (101) 180
59.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 15
5.0%
3 13
4.3%
4 15
5.0%
5 10
3.3%
6 8
2.6%
7 7
2.3%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
7697 1
0.3%
1787 1
0.3%
851 1
0.3%
591 1
0.3%
576 1
0.3%
481 1
0.3%
469 1
0.3%
413 1
0.3%
410 1
0.3%
403 1
0.3%

2011-10
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)39.7%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean93.545126
Minimum1
Maximum8149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:43.409563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median31
Q363
95-th percentile286.8
Maximum8149
Range8148
Interquartile range (IQR)55

Descriptive statistics

Standard deviation507.26737
Coefficient of variation (CV)5.4227023
Kurtosis232.88537
Mean93.545126
Median Absolute Deviation (MAD)25
Skewness14.769178
Sum25912
Variance257320.18
MonotonicityNot monotonic
2024-04-06T17:17:43.675094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 14
 
4.6%
10 11
 
3.6%
6 9
 
3.0%
4 8
 
2.6%
5 8
 
2.6%
1 7
 
2.3%
7 7
 
2.3%
13 6
 
2.0%
8 6
 
2.0%
Other values (100) 185
61.3%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 7
2.3%
2 14
4.6%
3 16
5.3%
4 8
2.6%
5 8
2.6%
6 9
3.0%
7 7
2.3%
8 6
 
2.0%
9 1
 
0.3%
10 11
3.6%
ValueCountFrequency (%)
8149 1
0.3%
1727 1
0.3%
936 1
0.3%
679 1
0.3%
587 1
0.3%
543 1
0.3%
521 1
0.3%
437 1
0.3%
404 1
0.3%
367 1
0.3%

2011-11
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)43.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean98.259928
Minimum1
Maximum8543
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:43.976019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median30
Q363
95-th percentile298.4
Maximum8543
Range8542
Interquartile range (IQR)56

Descriptive statistics

Standard deviation531.03868
Coefficient of variation (CV)5.4044278
Kurtosis234.1395
Mean98.259928
Median Absolute Deviation (MAD)24
Skewness14.814647
Sum27218
Variance282002.08
MonotonicityNot monotonic
2024-04-06T17:17:44.264949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
2 12
 
4.0%
7 11
 
3.6%
5 10
 
3.3%
6 9
 
3.0%
9 9
 
3.0%
1 8
 
2.6%
3 8
 
2.6%
15 7
 
2.3%
47 6
 
2.0%
Other values (109) 184
60.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 8
2.6%
2 12
4.0%
3 8
2.6%
4 13
4.3%
5 10
3.3%
6 9
3.0%
7 11
3.6%
8 2
 
0.7%
9 9
3.0%
11 5
 
1.7%
ValueCountFrequency (%)
8543 1
0.3%
1741 1
0.3%
854 1
0.3%
769 1
0.3%
687 1
0.3%
614 1
0.3%
529 1
0.3%
454 1
0.3%
444 1
0.3%
403 1
0.3%

2011-12
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)49.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean138.32852
Minimum1
Maximum11969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:44.579039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median40
Q387
95-th percentile415.4
Maximum11969
Range11968
Interquartile range (IQR)77

Descriptive statistics

Standard deviation743.64148
Coefficient of variation (CV)5.3759086
Kurtosis234.51275
Mean138.32852
Median Absolute Deviation (MAD)33
Skewness14.825053
Sum38317
Variance553002.66
MonotonicityNot monotonic
2024-04-06T17:17:44.884235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 12
 
4.0%
4 12
 
4.0%
2 9
 
3.0%
3 8
 
2.6%
10 7
 
2.3%
60 6
 
2.0%
12 6
 
2.0%
1 6
 
2.0%
7 6
 
2.0%
16 6
 
2.0%
Other values (128) 199
65.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 6
2.0%
2 9
3.0%
3 8
2.6%
4 12
4.0%
5 12
4.0%
6 4
 
1.3%
7 6
2.0%
8 3
 
1.0%
9 3
 
1.0%
10 7
2.3%
ValueCountFrequency (%)
11969 1
0.3%
2388 1
0.3%
1152 1
0.3%
1092 1
0.3%
889 1
0.3%
806 1
0.3%
798 1
0.3%
636 1
0.3%
635 1
0.3%
626 1
0.3%

2012-01
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)27.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean50.953069
Minimum1
Maximum4448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:45.155658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median13
Q327
95-th percentile175.8
Maximum4448
Range4447
Interquartile range (IQR)23

Descriptive statistics

Standard deviation276.74434
Coefficient of variation (CV)5.4313576
Kurtosis233.25437
Mean50.953069
Median Absolute Deviation (MAD)10
Skewness14.76357
Sum14114
Variance76587.429
MonotonicityNot monotonic
2024-04-06T17:17:45.485131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 25
 
8.3%
4 19
 
6.3%
3 18
 
6.0%
1 17
 
5.6%
5 12
 
4.0%
7 10
 
3.3%
11 9
 
3.0%
21 9
 
3.0%
8 8
 
2.6%
16 8
 
2.6%
Other values (67) 142
47.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 17
5.6%
2 25
8.3%
3 18
6.0%
4 19
6.3%
5 12
4.0%
6 5
 
1.7%
7 10
 
3.3%
8 8
 
2.6%
9 5
 
1.7%
10 4
 
1.3%
ValueCountFrequency (%)
4448 1
0.3%
860 1
0.3%
473 1
0.3%
414 1
0.3%
343 1
0.3%
279 1
0.3%
276 1
0.3%
263 1
0.3%
257 1
0.3%
244 1
0.3%

2012-02
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)33.6%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean72.620939
Minimum1
Maximum6328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:45.769929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median22
Q342
95-th percentile229.4
Maximum6328
Range6327
Interquartile range (IQR)35

Descriptive statistics

Standard deviation393.12567
Coefficient of variation (CV)5.4133929
Kurtosis234.6166
Mean72.620939
Median Absolute Deviation (MAD)16
Skewness14.82347
Sum20116
Variance154547.79
MonotonicityNot monotonic
2024-04-06T17:17:46.042513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
3 14
 
4.6%
4 11
 
3.6%
8 11
 
3.6%
1 10
 
3.3%
5 9
 
3.0%
9 8
 
2.6%
11 7
 
2.3%
10 7
 
2.3%
26 7
 
2.3%
Other values (83) 177
58.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 10
3.3%
2 16
5.3%
3 14
4.6%
4 11
3.6%
5 9
3.0%
6 5
 
1.7%
7 5
 
1.7%
8 11
3.6%
9 8
2.6%
10 7
2.3%
ValueCountFrequency (%)
6328 1
0.3%
1153 1
0.3%
821 1
0.3%
523 1
0.3%
520 1
0.3%
454 1
0.3%
434 1
0.3%
413 1
0.3%
282 1
0.3%
265 1
0.3%

2012-03
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)35.4%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.227437
Minimum1
Maximum7219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:46.885789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median29
Q349
95-th percentile237.6
Maximum7219
Range7218
Interquartile range (IQR)42

Descriptive statistics

Standard deviation450.31357
Coefficient of variation (CV)5.4106385
Kurtosis230.97421
Mean83.227437
Median Absolute Deviation (MAD)21
Skewness14.695448
Sum23054
Variance202782.31
MonotonicityNot monotonic
2024-04-06T17:17:47.180789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
5 13
 
4.3%
2 13
 
4.3%
4 9
 
3.0%
10 9
 
3.0%
7 8
 
2.6%
1 8
 
2.6%
8 7
 
2.3%
30 7
 
2.3%
6 6
 
2.0%
Other values (88) 183
60.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 8
2.6%
2 13
4.3%
3 14
4.6%
4 9
3.0%
5 13
4.3%
6 6
2.0%
7 8
2.6%
8 7
2.3%
9 5
 
1.7%
10 9
3.0%
ValueCountFrequency (%)
7219 1
0.3%
1615 1
0.3%
755 1
0.3%
605 1
0.3%
552 1
0.3%
532 1
0.3%
504 1
0.3%
424 1
0.3%
349 1
0.3%
300 1
0.3%

2012-04
Real number (ℝ)

MISSING 

Distinct111
Distinct (%)40.1%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.238267
Minimum0
Maximum7240
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:47.455380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median25
Q353
95-th percentile220.6
Maximum7240
Range7240
Interquartile range (IQR)46

Descriptive statistics

Standard deviation451.22045
Coefficient of variation (CV)5.4208294
Kurtosis231.74926
Mean83.238267
Median Absolute Deviation (MAD)20
Skewness14.719544
Sum23057
Variance203599.89
MonotonicityNot monotonic
2024-04-06T17:17:47.741469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
4.3%
3 13
 
4.3%
2 12
 
4.0%
4 11
 
3.6%
15 8
 
2.6%
1 8
 
2.6%
5 7
 
2.3%
7 7
 
2.3%
35 6
 
2.0%
10 5
 
1.7%
Other values (101) 187
61.9%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 12
4.0%
3 13
4.3%
4 11
3.6%
5 7
2.3%
6 13
4.3%
7 7
2.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
7240 1
0.3%
1532 1
0.3%
809 1
0.3%
638 1
0.3%
588 1
0.3%
556 1
0.3%
518 1
0.3%
459 1
0.3%
398 1
0.3%
287 1
0.3%

2012-05
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)36.8%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean83.916968
Minimum1
Maximum7328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:48.026860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median27
Q354
95-th percentile248.6
Maximum7328
Range7327
Interquartile range (IQR)47

Descriptive statistics

Standard deviation455.50852
Coefficient of variation (CV)5.428086
Kurtosis234.18768
Mean83.916968
Median Absolute Deviation (MAD)21
Skewness14.815562
Sum23245
Variance207488.01
MonotonicityNot monotonic
2024-04-06T17:17:48.311639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.6%
5 12
 
4.0%
2 12
 
4.0%
4 11
 
3.6%
8 9
 
3.0%
6 8
 
2.6%
38 8
 
2.6%
14 6
 
2.0%
30 6
 
2.0%
1 5
 
1.7%
Other values (92) 183
60.6%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
1 5
 
1.7%
2 12
4.0%
3 17
5.6%
4 11
3.6%
5 12
4.0%
6 8
2.6%
7 5
 
1.7%
8 9
3.0%
9 2
 
0.7%
10 3
 
1.0%
ValueCountFrequency (%)
7328 1
0.3%
1481 1
0.3%
764 1
0.3%
593 1
0.3%
577 1
0.3%
542 1
0.3%
486 1
0.3%
459 1
0.3%
398 1
0.3%
334 1
0.3%

2012-06
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)35.0%
Missing25
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean78.649819
Minimum0
Maximum6885
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:48.631541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median24
Q348
95-th percentile229.4
Maximum6885
Range6885
Interquartile range (IQR)42

Descriptive statistics

Standard deviation428.5461
Coefficient of variation (CV)5.4487868
Kurtosis232.88724
Mean78.649819
Median Absolute Deviation (MAD)19
Skewness14.748846
Sum21786
Variance183651.76
MonotonicityNot monotonic
2024-04-06T17:17:48.935888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
4 15
 
5.0%
5 13
 
4.3%
2 12
 
4.0%
10 10
 
3.3%
33 9
 
3.0%
27 8
 
2.6%
12 8
 
2.6%
1 8
 
2.6%
11 7
 
2.3%
Other values (87) 172
57.0%
(Missing) 25
 
8.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 12
4.0%
3 15
5.0%
4 15
5.0%
5 13
4.3%
6 6
 
2.0%
7 5
 
1.7%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
6885 1
0.3%
1312 1
0.3%
734 1
0.3%
662 1
0.3%
572 1
0.3%
550 1
0.3%
467 1
0.3%
423 1
0.3%
401 1
0.3%
394 1
0.3%

2012-07
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)36.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean75.625899
Minimum0
Maximum6592
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:49.281309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median24
Q345.75
95-th percentile225.45
Maximum6592
Range6592
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation409.19117
Coefficient of variation (CV)5.410728
Kurtosis234.66644
Mean75.625899
Median Absolute Deviation (MAD)18
Skewness14.833827
Sum21024
Variance167437.41
MonotonicityNot monotonic
2024-04-06T17:17:49.715551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 15
 
5.0%
4 11
 
3.6%
5 9
 
3.0%
7 8
 
2.6%
11 7
 
2.3%
6 7
 
2.3%
28 6
 
2.0%
25 6
 
2.0%
27 6
 
2.0%
Other values (91) 187
61.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 15
5.0%
3 16
5.3%
4 11
3.6%
5 9
3.0%
6 7
2.3%
7 8
2.6%
8 5
 
1.7%
9 6
 
2.0%
ValueCountFrequency (%)
6592 1
0.3%
1391 1
0.3%
613 1
0.3%
586 1
0.3%
537 1
0.3%
452 1
0.3%
404 1
0.3%
390 1
0.3%
352 1
0.3%
285 1
0.3%

2012-08
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)34.2%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean79.751799
Minimum0
Maximum6845
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:50.016688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median18
Q341.75
95-th percentile251.8
Maximum6845
Range6845
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation432.60672
Coefficient of variation (CV)5.4244133
Kurtosis218.69914
Mean79.751799
Median Absolute Deviation (MAD)14
Skewness14.194666
Sum22171
Variance187148.57
MonotonicityNot monotonic
2024-04-06T17:17:50.389428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17
 
5.6%
5 15
 
5.0%
4 14
 
4.6%
3 14
 
4.6%
17 9
 
3.0%
7 8
 
2.6%
12 8
 
2.6%
14 8
 
2.6%
19 8
 
2.6%
1 7
 
2.3%
Other values (85) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 7
2.3%
2 17
5.6%
3 14
4.6%
4 14
4.6%
5 15
5.0%
6 3
 
1.0%
7 8
2.6%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
6845 1
0.3%
1852 1
0.3%
751 1
0.3%
682 1
0.3%
503 1
0.3%
486 1
0.3%
480 1
0.3%
452 1
0.3%
408 1
0.3%
372 1
0.3%

2012-09
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)32.0%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean62.597122
Minimum0
Maximum5465
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:50.687555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median16
Q339.5
95-th percentile180.35
Maximum5465
Range5465
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation340.42266
Coefficient of variation (CV)5.4383116
Kurtosis231.54738
Mean62.597122
Median Absolute Deviation (MAD)12
Skewness14.712848
Sum17402
Variance115887.58
MonotonicityNot monotonic
2024-04-06T17:17:50.980034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 19
 
6.3%
4 14
 
4.6%
1 12
 
4.0%
7 12
 
4.0%
6 10
 
3.3%
18 9
 
3.0%
12 9
 
3.0%
5 8
 
2.6%
8 8
 
2.6%
Other values (79) 158
52.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 12
4.0%
2 19
6.3%
3 19
6.3%
4 14
4.6%
5 8
2.6%
6 10
3.3%
7 12
4.0%
8 8
2.6%
9 2
 
0.7%
ValueCountFrequency (%)
5465 1
0.3%
1260 1
0.3%
443 1
0.3%
429 1
0.3%
394 1
0.3%
393 1
0.3%
362 1
0.3%
332 1
0.3%
297 1
0.3%
238 1
0.3%

2012-10
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)37.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean88.305755
Minimum1
Maximum7741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:51.296270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median24.5
Q357.75
95-th percentile224.5
Maximum7741
Range7740
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation481.37177
Coefficient of variation (CV)5.4511936
Kurtosis233.08982
Mean88.305755
Median Absolute Deviation (MAD)19.5
Skewness14.770965
Sum24549
Variance231718.78
MonotonicityNot monotonic
2024-04-06T17:17:51.628038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14
 
4.6%
3 14
 
4.6%
6 11
 
3.6%
5 11
 
3.6%
4 8
 
2.6%
7 7
 
2.3%
10 7
 
2.3%
24 7
 
2.3%
34 6
 
2.0%
40 6
 
2.0%
Other values (94) 187
61.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 6
2.0%
2 14
4.6%
3 14
4.6%
4 8
2.6%
5 11
3.6%
6 11
3.6%
7 7
2.3%
8 3
 
1.0%
9 3
 
1.0%
10 7
2.3%
ValueCountFrequency (%)
7741 1
0.3%
1677 1
0.3%
762 1
0.3%
674 1
0.3%
626 1
0.3%
589 1
0.3%
490 1
0.3%
485 1
0.3%
381 1
0.3%
373 1
0.3%

2012-11
Real number (ℝ)

MISSING 

Distinct110
Distinct (%)39.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean93.122302
Minimum1
Maximum8154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:51.973049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median28.5
Q360
95-th percentile249.3
Maximum8154
Range8153
Interquartile range (IQR)53

Descriptive statistics

Standard deviation506.5158
Coefficient of variation (CV)5.4392535
Kurtosis234.00198
Mean93.122302
Median Absolute Deviation (MAD)23.5
Skewness14.801177
Sum25888
Variance256558.26
MonotonicityNot monotonic
2024-04-06T17:17:52.361757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
2 13
 
4.3%
3 13
 
4.3%
5 13
 
4.3%
11 8
 
2.6%
6 8
 
2.6%
14 7
 
2.3%
7 6
 
2.0%
9 6
 
2.0%
29 5
 
1.7%
Other values (100) 185
61.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 4
 
1.3%
2 13
4.3%
3 13
4.3%
4 14
4.6%
5 13
4.3%
6 8
2.6%
7 6
2.0%
8 3
 
1.0%
9 6
2.0%
10 4
 
1.3%
ValueCountFrequency (%)
8154 1
0.3%
1675 1
0.3%
878 1
0.3%
682 1
0.3%
679 1
0.3%
674 1
0.3%
514 1
0.3%
454 1
0.3%
411 1
0.3%
399 1
0.3%

2012-12
Real number (ℝ)

MISSING 

Distinct127
Distinct (%)45.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean130.34532
Minimum1
Maximum11298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:52.692755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q111
median39.5
Q377.75
95-th percentile360.45
Maximum11298
Range11297
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation702.96566
Coefficient of variation (CV)5.3931023
Kurtosis232.39059
Mean130.34532
Median Absolute Deviation (MAD)30.5
Skewness14.734332
Sum36236
Variance494160.72
MonotonicityNot monotonic
2024-04-06T17:17:52.974701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
2 10
 
3.3%
3 9
 
3.0%
5 9
 
3.0%
6 7
 
2.3%
14 6
 
2.0%
12 6
 
2.0%
26 6
 
2.0%
9 6
 
2.0%
58 5
 
1.7%
Other values (117) 200
66.2%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 5
 
1.7%
2 10
3.3%
3 9
3.0%
4 14
4.6%
5 9
3.0%
6 7
2.3%
7 4
 
1.3%
8 1
 
0.3%
9 6
2.0%
10 4
 
1.3%
ValueCountFrequency (%)
11298 1
0.3%
2389 1
0.3%
1214 1
0.3%
988 1
0.3%
960 1
0.3%
895 1
0.3%
690 1
0.3%
613 1
0.3%
587 1
0.3%
542 1
0.3%

2013-01
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)29.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean52.773381
Minimum0
Maximum4544
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:53.256293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14.25
median12
Q330
95-th percentile151.3
Maximum4544
Range4544
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation285.73426
Coefficient of variation (CV)5.4143633
Kurtosis223.12667
Mean52.773381
Median Absolute Deviation (MAD)9
Skewness14.381703
Sum14671
Variance81644.068
MonotonicityNot monotonic
2024-04-06T17:17:53.564456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 21
 
7.0%
4 19
 
6.3%
3 17
 
5.6%
5 15
 
5.0%
6 13
 
4.3%
1 12
 
4.0%
9 10
 
3.3%
12 9
 
3.0%
7 9
 
3.0%
11 8
 
2.6%
Other values (73) 145
48.0%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 12
4.0%
2 21
7.0%
3 17
5.6%
4 19
6.3%
5 15
5.0%
6 13
4.3%
7 9
3.0%
8 7
 
2.3%
9 10
3.3%
ValueCountFrequency (%)
4544 1
0.3%
1193 1
0.3%
514 1
0.3%
348 1
0.3%
322 1
0.3%
286 1
0.3%
277 1
0.3%
271 1
0.3%
248 1
0.3%
241 1
0.3%

2013-02
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)32.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean63.52518
Minimum0
Maximum5474
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:53.823853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median18
Q338.75
95-th percentile196.6
Maximum5474
Range5474
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation341.84609
Coefficient of variation (CV)5.3812691
Kurtosis229.15602
Mean63.52518
Median Absolute Deviation (MAD)14
Skewness14.619918
Sum17660
Variance116858.75
MonotonicityNot monotonic
2024-04-06T17:17:54.107362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
7.0%
2 21
 
7.0%
4 16
 
5.3%
13 10
 
3.3%
7 9
 
3.0%
8 9
 
3.0%
11 7
 
2.3%
25 7
 
2.3%
5 7
 
2.3%
27 6
 
2.0%
Other values (81) 165
54.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 21
7.0%
3 21
7.0%
4 16
5.3%
5 7
 
2.3%
6 6
 
2.0%
7 9
3.0%
8 9
3.0%
9 3
 
1.0%
ValueCountFrequency (%)
5474 1
0.3%
1315 1
0.3%
515 1
0.3%
437 1
0.3%
408 1
0.3%
385 1
0.3%
358 1
0.3%
291 1
0.3%
285 1
0.3%
277 1
0.3%

2013-03
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)37.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean81.100719
Minimum1
Maximum7073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:54.403531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.25
median26
Q352
95-th percentile213
Maximum7073
Range7072
Interquartile range (IQR)45.75

Descriptive statistics

Standard deviation438.717
Coefficient of variation (CV)5.4095327
Kurtosis235.32063
Mean81.100719
Median Absolute Deviation (MAD)21
Skewness14.855219
Sum22546
Variance192472.6
MonotonicityNot monotonic
2024-04-06T17:17:54.722914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 20
 
6.6%
2 14
 
4.6%
3 13
 
4.3%
4 12
 
4.0%
12 9
 
3.0%
42 7
 
2.3%
6 7
 
2.3%
34 6
 
2.0%
13 5
 
1.7%
35 5
 
1.7%
Other values (94) 180
59.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 4
 
1.3%
2 14
4.6%
3 13
4.3%
4 12
4.0%
5 20
6.6%
6 7
 
2.3%
7 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
7073 1
0.3%
1404 1
0.3%
830 1
0.3%
614 1
0.3%
548 1
0.3%
497 1
0.3%
464 1
0.3%
409 1
0.3%
344 1
0.3%
305 1
0.3%

2013-04
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)40.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean100.23741
Minimum1
Maximum8740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:55.677218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median34.5
Q359.75
95-th percentile257.1
Maximum8740
Range8739
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation543.49519
Coefficient of variation (CV)5.4220793
Kurtosis232.99048
Mean100.23741
Median Absolute Deviation (MAD)25.5
Skewness14.763762
Sum27866
Variance295387.02
MonotonicityNot monotonic
2024-04-06T17:17:55.946291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
5.3%
3 12
 
4.0%
2 11
 
3.6%
4 9
 
3.0%
7 8
 
2.6%
6 8
 
2.6%
12 6
 
2.0%
13 5
 
1.7%
50 5
 
1.7%
72 5
 
1.7%
Other values (102) 193
63.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 2
 
0.7%
2 11
3.6%
3 12
4.0%
4 9
3.0%
5 16
5.3%
6 8
2.6%
7 8
2.6%
8 3
 
1.0%
9 4
 
1.3%
10 4
 
1.3%
ValueCountFrequency (%)
8740 1
0.3%
1830 1
0.3%
1030 1
0.3%
796 1
0.3%
756 1
0.3%
644 1
0.3%
579 1
0.3%
483 1
0.3%
407 1
0.3%
340 1
0.3%

2013-05
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.6%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean113.08993
Minimum0
Maximum9875
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:56.343631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.85
Q18
median37
Q371
95-th percentile280.5
Maximum9875
Range9875
Interquartile range (IQR)63

Descriptive statistics

Standard deviation614.68275
Coefficient of variation (CV)5.4353448
Kurtosis232.09719
Mean113.08993
Median Absolute Deviation (MAD)30
Skewness14.726045
Sum31439
Variance377834.88
MonotonicityNot monotonic
2024-04-06T17:17:56.849113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
4.3%
4 10
 
3.3%
3 10
 
3.3%
7 10
 
3.3%
5 10
 
3.3%
2 8
 
2.6%
44 6
 
2.0%
1 5
 
1.7%
16 5
 
1.7%
14 5
 
1.7%
Other values (114) 196
64.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 8
2.6%
3 10
3.3%
4 10
3.3%
5 10
3.3%
6 13
4.3%
7 10
3.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
9875 1
0.3%
2099 1
0.3%
1162 1
0.3%
851 1
0.3%
824 1
0.3%
692 1
0.3%
687 1
0.3%
661 1
0.3%
535 1
0.3%
389 1
0.3%

2013-06
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)50.7%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean163.64388
Minimum1
Maximum14237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:57.312958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110.25
median54
Q3102
95-th percentile447
Maximum14237
Range14236
Interquartile range (IQR)91.75

Descriptive statistics

Standard deviation886.84082
Coefficient of variation (CV)5.4193337
Kurtosis231.38461
Mean163.64388
Median Absolute Deviation (MAD)44
Skewness14.693317
Sum45493
Variance786486.63
MonotonicityNot monotonic
2024-04-06T17:17:57.691886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 12
 
4.0%
5 12
 
4.0%
4 8
 
2.6%
7 8
 
2.6%
6 6
 
2.0%
8 6
 
2.0%
10 6
 
2.0%
64 6
 
2.0%
12 6
 
2.0%
3 5
 
1.7%
Other values (131) 203
67.2%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 3
 
1.0%
2 12
4.0%
3 5
1.7%
4 8
2.6%
5 12
4.0%
6 6
2.0%
7 8
2.6%
8 6
2.0%
9 4
 
1.3%
10 6
2.0%
ValueCountFrequency (%)
14237 1
0.3%
3039 1
0.3%
1606 1
0.3%
1332 1
0.3%
1152 1
0.3%
1132 1
0.3%
918 1
0.3%
865 1
0.3%
697 1
0.3%
695 1
0.3%

2013-07
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)33.8%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean70.003597
Minimum0
Maximum6094
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:58.219081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median17
Q340
95-th percentile195.35
Maximum6094
Range6094
Interquartile range (IQR)34

Descriptive statistics

Standard deviation379.76568
Coefficient of variation (CV)5.4249453
Kurtosis231.02227
Mean70.003597
Median Absolute Deviation (MAD)13
Skewness14.680291
Sum19461
Variance144221.97
MonotonicityNot monotonic
2024-04-06T17:17:58.741144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.6%
4 15
 
5.0%
2 15
 
5.0%
5 13
 
4.3%
11 11
 
3.6%
8 9
 
3.0%
33 7
 
2.3%
12 7
 
2.3%
1 7
 
2.3%
9 7
 
2.3%
Other values (84) 170
56.3%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.3%
2 15
5.0%
3 17
5.6%
4 15
5.0%
5 13
4.3%
6 6
 
2.0%
7 5
 
1.7%
8 9
3.0%
9 7
2.3%
ValueCountFrequency (%)
6094 1
0.3%
1329 1
0.3%
598 1
0.3%
593 1
0.3%
576 1
0.3%
480 1
0.3%
347 1
0.3%
272 1
0.3%
268 1
0.3%
267 1
0.3%

2013-08
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)35.3%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean68.122302
Minimum0
Maximum5957
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:59.068236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median20
Q343
95-th percentile171.75
Maximum5957
Range5957
Interquartile range (IQR)37

Descriptive statistics

Standard deviation370.42808
Coefficient of variation (CV)5.4376917
Kurtosis233.03311
Mean68.122302
Median Absolute Deviation (MAD)16
Skewness14.763824
Sum18938
Variance137216.96
MonotonicityNot monotonic
2024-04-06T17:17:59.399133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
3 16
 
5.3%
4 12
 
4.0%
5 11
 
3.6%
1 9
 
3.0%
11 8
 
2.6%
7 7
 
2.3%
19 7
 
2.3%
17 6
 
2.0%
20 6
 
2.0%
Other values (88) 178
58.9%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 2
 
0.7%
1 9
3.0%
2 18
6.0%
3 16
5.3%
4 12
4.0%
5 11
3.6%
6 6
 
2.0%
7 7
 
2.3%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
5957 1
0.3%
1246 1
0.3%
644 1
0.3%
612 1
0.3%
471 1
0.3%
439 1
0.3%
419 1
0.3%
283 1
0.3%
276 1
0.3%
262 1
0.3%

2013-09
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)35.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean70.695341
Minimum0
Maximum6187
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:17:59.682893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q16
median24
Q344
95-th percentile174.2
Maximum6187
Range6187
Interquartile range (IQR)38

Descriptive statistics

Standard deviation385.53678
Coefficient of variation (CV)5.4534963
Kurtosis230.42055
Mean70.695341
Median Absolute Deviation (MAD)19
Skewness14.664498
Sum19724
Variance148638.61
MonotonicityNot monotonic
2024-04-06T17:17:59.971179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 20
 
6.6%
4 16
 
5.3%
2 11
 
3.6%
1 11
 
3.6%
26 10
 
3.3%
6 8
 
2.6%
5 8
 
2.6%
10 7
 
2.3%
37 7
 
2.3%
7 7
 
2.3%
Other values (90) 174
57.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 3
 
1.0%
1 11
3.6%
2 11
3.6%
3 20
6.6%
4 16
5.3%
5 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
6187 1
0.3%
1433 1
0.3%
767 1
0.3%
513 1
0.3%
492 1
0.3%
486 1
0.3%
391 1
0.3%
320 1
0.3%
308 1
0.3%
251 1
0.3%

2013-10
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)43.9%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean112.32014
Minimum0
Maximum9772
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:00.272035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median38
Q369.25
95-th percentile288.15
Maximum9772
Range9772
Interquartile range (IQR)61.25

Descriptive statistics

Standard deviation610.16751
Coefficient of variation (CV)5.432396
Kurtosis229.34901
Mean112.32014
Median Absolute Deviation (MAD)30.5
Skewness14.629309
Sum31225
Variance372304.38
MonotonicityNot monotonic
2024-04-06T17:18:00.561229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
5 13
 
4.3%
3 12
 
4.0%
7 9
 
3.0%
6 8
 
2.6%
8 7
 
2.3%
2 7
 
2.3%
16 6
 
2.0%
58 5
 
1.7%
62 5
 
1.7%
Other values (112) 191
63.2%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 7
2.3%
3 12
4.0%
4 15
5.0%
5 13
4.3%
6 8
2.6%
7 9
3.0%
8 7
2.3%
9 4
 
1.3%
ValueCountFrequency (%)
9772 1
0.3%
2287 1
0.3%
1202 1
0.3%
807 1
0.3%
798 1
0.3%
717 1
0.3%
597 1
0.3%
538 1
0.3%
406 1
0.3%
388 1
0.3%

2013-11
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)42.4%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean108.16547
Minimum1
Maximum9460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:00.976109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median36
Q369
95-th percentile255.6
Maximum9460
Range9459
Interquartile range (IQR)61

Descriptive statistics

Standard deviation590.31479
Coefficient of variation (CV)5.4575161
Kurtosis229.92184
Mean108.16547
Median Absolute Deviation (MAD)30
Skewness14.647164
Sum30070
Variance348471.55
MonotonicityNot monotonic
2024-04-06T17:18:01.246393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
6 13
 
4.3%
3 13
 
4.3%
2 11
 
3.6%
5 8
 
2.6%
8 7
 
2.3%
1 6
 
2.0%
10 5
 
1.7%
18 4
 
1.3%
39 4
 
1.3%
Other values (108) 192
63.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 6
 
2.0%
2 11
3.6%
3 13
4.3%
4 15
5.0%
5 8
2.6%
6 13
4.3%
7 3
 
1.0%
8 7
2.3%
9 4
 
1.3%
10 5
 
1.7%
ValueCountFrequency (%)
9460 1
0.3%
2146 1
0.3%
1150 1
0.3%
860 1
0.3%
803 1
0.3%
731 1
0.3%
572 1
0.3%
536 1
0.3%
394 1
0.3%
391 1
0.3%

2013-12
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)47.5%
Missing24
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean125.30935
Minimum1
Maximum10918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:01.502836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median41
Q381.75
95-th percentile295.15
Maximum10918
Range10917
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation679.76347
Coefficient of variation (CV)5.4246827
Kurtosis231.87029
Mean125.30935
Median Absolute Deviation (MAD)34
Skewness14.718351
Sum34836
Variance462078.38
MonotonicityNot monotonic
2024-04-06T17:18:01.852074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
4 13
 
4.3%
2 11
 
3.6%
5 8
 
2.6%
6 7
 
2.3%
7 6
 
2.0%
13 6
 
2.0%
8 5
 
1.7%
12 5
 
1.7%
46 5
 
1.7%
Other values (122) 198
65.6%
(Missing) 24
 
7.9%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 14
4.6%
4 13
4.3%
5 8
2.6%
6 7
2.3%
7 6
2.0%
8 5
 
1.7%
9 3
 
1.0%
10 1
 
0.3%
ValueCountFrequency (%)
10918 1
0.3%
2341 1
0.3%
1231 1
0.3%
1052 1
0.3%
916 1
0.3%
865 1
0.3%
792 1
0.3%
529 1
0.3%
479 1
0.3%
476 1
0.3%

2014-01
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)39.9%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean92.291815
Minimum0
Maximum8135
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:02.152308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median27
Q363
95-th percentile215
Maximum8135
Range8135
Interquartile range (IQR)57

Descriptive statistics

Standard deviation503.49794
Coefficient of variation (CV)5.4554993
Kurtosis234.94873
Mean92.291815
Median Absolute Deviation (MAD)23
Skewness14.816147
Sum25934
Variance253510.17
MonotonicityNot monotonic
2024-04-06T17:18:02.606593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 23
 
7.6%
2 19
 
6.3%
4 11
 
3.6%
5 10
 
3.3%
6 9
 
3.0%
27 7
 
2.3%
13 6
 
2.0%
12 6
 
2.0%
14 5
 
1.7%
34 5
 
1.7%
Other values (102) 180
59.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 19
6.3%
3 23
7.6%
4 11
3.6%
5 10
3.3%
6 9
 
3.0%
7 5
 
1.7%
8 4
 
1.3%
9 3
 
1.0%
ValueCountFrequency (%)
8135 1
0.3%
1679 1
0.3%
968 1
0.3%
781 1
0.3%
712 1
0.3%
656 1
0.3%
563 1
0.3%
424 1
0.3%
352 1
0.3%
319 1
0.3%

2014-02
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.1%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean116.56228
Minimum1
Maximum10282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:02.922068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median34
Q373
95-th percentile286
Maximum10282
Range10281
Interquartile range (IQR)65

Descriptive statistics

Standard deviation639.143
Coefficient of variation (CV)5.4832748
Kurtosis230.88576
Mean116.56228
Median Absolute Deviation (MAD)28
Skewness14.641561
Sum32754
Variance408503.78
MonotonicityNot monotonic
2024-04-06T17:18:03.407229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
5.3%
2 14
 
4.6%
4 11
 
3.6%
3 10
 
3.3%
6 8
 
2.6%
1 6
 
2.0%
78 5
 
1.7%
38 5
 
1.7%
11 5
 
1.7%
46 5
 
1.7%
Other values (114) 196
64.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
1 6
 
2.0%
2 14
4.6%
3 10
3.3%
4 11
3.6%
5 16
5.3%
6 8
2.6%
7 5
 
1.7%
8 5
 
1.7%
9 5
 
1.7%
10 3
 
1.0%
ValueCountFrequency (%)
10282 1
0.3%
1996 1
0.3%
1636 1
0.3%
1171 1
0.3%
859 1
0.3%
735 1
0.3%
705 1
0.3%
646 1
0.3%
549 1
0.3%
456 1
0.3%

2014-03
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)43.8%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean114.13167
Minimum0
Maximum10013
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:03.769222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median37
Q378
95-th percentile295
Maximum10013
Range10013
Interquartile range (IQR)69

Descriptive statistics

Standard deviation621.43914
Coefficient of variation (CV)5.4449315
Kurtosis232.47403
Mean114.13167
Median Absolute Deviation (MAD)30
Skewness14.732063
Sum32071
Variance386186.61
MonotonicityNot monotonic
2024-04-06T17:18:04.085107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 12
 
4.0%
5 12
 
4.0%
2 10
 
3.3%
6 9
 
3.0%
3 8
 
2.6%
7 8
 
2.6%
12 6
 
2.0%
54 6
 
2.0%
11 6
 
2.0%
9 6
 
2.0%
Other values (113) 198
65.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 10
3.3%
3 8
2.6%
4 12
4.0%
5 12
4.0%
6 9
3.0%
7 8
2.6%
8 4
 
1.3%
9 6
2.0%
ValueCountFrequency (%)
10013 1
0.3%
2252 1
0.3%
1429 1
0.3%
775 1
0.3%
773 1
0.3%
705 1
0.3%
564 1
0.3%
514 1
0.3%
425 1
0.3%
416 1
0.3%

2014-04
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.1%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean119.91815
Minimum1
Maximum10562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:04.469008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median40
Q377
95-th percentile314
Maximum10562
Range10561
Interquartile range (IQR)68

Descriptive statistics

Standard deviation654.12044
Coefficient of variation (CV)5.4547242
Kurtosis234.41379
Mean119.91815
Median Absolute Deviation (MAD)32
Skewness14.80295
Sum33697
Variance427873.55
MonotonicityNot monotonic
2024-04-06T17:18:04.737226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
6 12
 
4.0%
5 10
 
3.3%
2 9
 
3.0%
4 8
 
2.6%
14 8
 
2.6%
7 7
 
2.3%
9 7
 
2.3%
10 5
 
1.7%
39 4
 
1.3%
Other values (114) 198
65.6%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
1 3
 
1.0%
2 9
3.0%
3 13
4.3%
4 8
2.6%
5 10
3.3%
6 12
4.0%
7 7
2.3%
8 3
 
1.0%
9 7
2.3%
10 5
 
1.7%
ValueCountFrequency (%)
10562 1
0.3%
2260 1
0.3%
1401 1
0.3%
849 1
0.3%
842 1
0.3%
757 1
0.3%
748 1
0.3%
561 1
0.3%
447 1
0.3%
437 1
0.3%

2014-05
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)40.9%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean102.58719
Minimum1
Maximum9019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:04.976691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median37
Q368
95-th percentile265
Maximum9019
Range9018
Interquartile range (IQR)60

Descriptive statistics

Standard deviation558.54386
Coefficient of variation (CV)5.4445771
Kurtosis234.39367
Mean102.58719
Median Absolute Deviation (MAD)30
Skewness14.798432
Sum28827
Variance311971.24
MonotonicityNot monotonic
2024-04-06T17:18:05.777235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
6.0%
5 14
 
4.6%
2 13
 
4.3%
3 9
 
3.0%
48 7
 
2.3%
6 7
 
2.3%
41 6
 
2.0%
9 6
 
2.0%
18 6
 
2.0%
38 5
 
1.7%
Other values (105) 190
62.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
1 5
 
1.7%
2 13
4.3%
3 9
3.0%
4 18
6.0%
5 14
4.6%
6 7
 
2.3%
7 4
 
1.3%
8 1
 
0.3%
9 6
 
2.0%
10 1
 
0.3%
ValueCountFrequency (%)
9019 1
0.3%
1902 1
0.3%
1110 1
0.3%
899 1
0.3%
826 1
0.3%
640 1
0.3%
514 1
0.3%
497 1
0.3%
384 1
0.3%
379 1
0.3%

2014-06
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)41.3%
Missing21
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean101.96085
Minimum0
Maximum9026
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:06.049354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median34
Q369
95-th percentile263
Maximum9026
Range9026
Interquartile range (IQR)61

Descriptive statistics

Standard deviation556.67656
Coefficient of variation (CV)5.4597087
Kurtosis238.27826
Mean101.96085
Median Absolute Deviation (MAD)27
Skewness14.949218
Sum28651
Variance309888.79
MonotonicityNot monotonic
2024-04-06T17:18:06.384342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14
 
4.6%
4 12
 
4.0%
6 11
 
3.6%
7 10
 
3.3%
3 9
 
3.0%
5 9
 
3.0%
35 6
 
2.0%
18 6
 
2.0%
10 6
 
2.0%
40 5
 
1.7%
Other values (106) 193
63.9%
(Missing) 21
 
7.0%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 14
4.6%
3 9
3.0%
4 12
4.0%
5 9
3.0%
6 11
3.6%
7 10
3.3%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
9026 1
0.3%
1745 1
0.3%
1020 1
0.3%
804 1
0.3%
773 1
0.3%
677 1
0.3%
564 1
0.3%
528 1
0.3%
436 1
0.3%
411 1
0.3%

2014-07
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.0%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean109.7234
Minimum0
Maximum9692
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:06.623039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median38.5
Q375.75
95-th percentile301.1
Maximum9692
Range9692
Interquartile range (IQR)67.75

Descriptive statistics

Standard deviation598.2131
Coefficient of variation (CV)5.45201
Kurtosis236.73277
Mean109.7234
Median Absolute Deviation (MAD)31.5
Skewness14.884878
Sum30942
Variance357858.91
MonotonicityNot monotonic
2024-04-06T17:18:06.911058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
5.3%
7 11
 
3.6%
3 11
 
3.6%
6 9
 
3.0%
2 9
 
3.0%
8 8
 
2.6%
5 7
 
2.3%
40 6
 
2.0%
46 5
 
1.7%
41 5
 
1.7%
Other values (114) 195
64.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 9
3.0%
3 11
3.6%
4 16
5.3%
5 7
2.3%
6 9
3.0%
7 11
3.6%
8 8
2.6%
9 2
 
0.7%
ValueCountFrequency (%)
9692 1
0.3%
1994 1
0.3%
1207 1
0.3%
886 1
0.3%
802 1
0.3%
669 1
0.3%
659 1
0.3%
548 1
0.3%
424 1
0.3%
395 1
0.3%

2014-08
Real number (ℝ)

MISSING 

Distinct112
Distinct (%)39.7%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean106.47163
Minimum0
Maximum9401
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:07.236993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median35
Q372
95-th percentile291.85
Maximum9401
Range9401
Interquartile range (IQR)63

Descriptive statistics

Standard deviation581.6147
Coefficient of variation (CV)5.462626
Kurtosis234.58069
Mean106.47163
Median Absolute Deviation (MAD)28.5
Skewness14.803442
Sum30025
Variance338275.66
MonotonicityNot monotonic
2024-04-06T17:18:07.670556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
2 11
 
3.6%
5 9
 
3.0%
4 8
 
2.6%
8 8
 
2.6%
30 7
 
2.3%
31 7
 
2.3%
75 7
 
2.3%
6 6
 
2.0%
1 6
 
2.0%
Other values (102) 198
65.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 6
 
2.0%
2 11
3.6%
3 15
5.0%
4 8
2.6%
5 9
3.0%
6 6
 
2.0%
7 4
 
1.3%
8 8
2.6%
9 4
 
1.3%
ValueCountFrequency (%)
9401 1
0.3%
2015 1
0.3%
1323 1
0.3%
801 1
0.3%
788 1
0.3%
633 1
0.3%
577 1
0.3%
474 1
0.3%
417 1
0.3%
393 1
0.3%

2014-09
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.4%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean118.20922
Minimum1
Maximum10435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:08.193972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18.25
median37.5
Q378
95-th percentile300.8
Maximum10435
Range10434
Interquartile range (IQR)69.75

Descriptive statistics

Standard deviation645.64707
Coefficient of variation (CV)5.4619011
Kurtosis234.52092
Mean118.20922
Median Absolute Deviation (MAD)31.5
Skewness14.804737
Sum33335
Variance416860.14
MonotonicityNot monotonic
2024-04-06T17:18:08.567787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 21
 
7.0%
2 14
 
4.6%
56 7
 
2.3%
3 7
 
2.3%
5 6
 
2.0%
8 6
 
2.0%
7 6
 
2.0%
1 6
 
2.0%
30 5
 
1.7%
37 5
 
1.7%
Other values (118) 199
65.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 6
 
2.0%
2 14
4.6%
3 7
 
2.3%
4 21
7.0%
5 6
 
2.0%
6 5
 
1.7%
7 6
 
2.0%
8 6
 
2.0%
9 4
 
1.3%
10 3
 
1.0%
ValueCountFrequency (%)
10435 1
0.3%
2279 1
0.3%
1484 1
0.3%
856 1
0.3%
805 1
0.3%
606 1
0.3%
591 1
0.3%
560 1
0.3%
487 1
0.3%
454 1
0.3%

2014-10
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)49.6%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean165.98936
Minimum1
Maximum14734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:08.872166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median49.5
Q3101.75
95-th percentile388.8
Maximum14734
Range14733
Interquartile range (IQR)90.75

Descriptive statistics

Standard deviation915.28508
Coefficient of variation (CV)5.5141189
Kurtosis230.75411
Mean165.98936
Median Absolute Deviation (MAD)41.5
Skewness14.627303
Sum46809
Variance837746.77
MonotonicityNot monotonic
2024-04-06T17:18:09.232281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 11
 
3.6%
2 11
 
3.6%
4 11
 
3.6%
6 9
 
3.0%
7 8
 
2.6%
5 7
 
2.3%
12 7
 
2.3%
72 6
 
2.0%
73 6
 
2.0%
35 6
 
2.0%
Other values (130) 200
66.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 11
3.6%
3 11
3.6%
4 11
3.6%
5 7
2.3%
6 9
3.0%
7 8
2.6%
8 5
1.7%
9 3
 
1.0%
10 1
 
0.3%
ValueCountFrequency (%)
14734 1
0.3%
3086 1
0.3%
1874 1
0.3%
1655 1
0.3%
1418 1
0.3%
1028 1
0.3%
1017 1
0.3%
1000 1
0.3%
994 1
0.3%
861 1
0.3%

2014-11
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)43.6%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean122.43972
Minimum1
Maximum10761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:09.523814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median41.5
Q379
95-th percentile298.75
Maximum10761
Range10760
Interquartile range (IQR)70

Descriptive statistics

Standard deviation665.77798
Coefficient of variation (CV)5.4375982
Kurtosis234.52604
Mean122.43972
Median Absolute Deviation (MAD)33.5
Skewness14.803608
Sum34528
Variance443260.32
MonotonicityNot monotonic
2024-04-06T17:18:09.820050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
2 12
 
4.0%
5 11
 
3.6%
3 9
 
3.0%
6 7
 
2.3%
7 7
 
2.3%
9 6
 
2.0%
34 6
 
2.0%
55 5
 
1.7%
133 5
 
1.7%
Other values (113) 199
65.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 12
4.0%
3 9
3.0%
4 15
5.0%
5 11
3.6%
6 7
2.3%
7 7
2.3%
8 3
 
1.0%
9 6
 
2.0%
10 4
 
1.3%
ValueCountFrequency (%)
10761 1
0.3%
2360 1
0.3%
1464 1
0.3%
918 1
0.3%
755 1
0.3%
729 1
0.3%
656 1
0.3%
602 1
0.3%
541 1
0.3%
456 1
0.3%

2014-12
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.1%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean129.03901
Minimum0
Maximum11374
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:10.128449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19.25
median41
Q385.25
95-th percentile315
Maximum11374
Range11374
Interquartile range (IQR)76

Descriptive statistics

Standard deviation702.32339
Coefficient of variation (CV)5.4427216
Kurtosis236.28825
Mean129.03901
Median Absolute Deviation (MAD)34
Skewness14.861629
Sum36389
Variance493258.14
MonotonicityNot monotonic
2024-04-06T17:18:10.401606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
2 11
 
3.6%
6 10
 
3.3%
4 10
 
3.3%
7 9
 
3.0%
5 8
 
2.6%
46 5
 
1.7%
14 5
 
1.7%
11 5
 
1.7%
44 5
 
1.7%
Other values (120) 199
65.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 11
3.6%
3 15
5.0%
4 10
3.3%
5 8
2.6%
6 10
3.3%
7 9
3.0%
8 3
 
1.0%
9 3
 
1.0%
ValueCountFrequency (%)
11374 1
0.3%
2310 1
0.3%
1286 1
0.3%
1151 1
0.3%
995 1
0.3%
990 1
0.3%
740 1
0.3%
605 1
0.3%
500 1
0.3%
443 1
0.3%

2015-01
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)42.9%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean109.68085
Minimum0
Maximum9704
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:10.683121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median34
Q374
95-th percentile268.05
Maximum9704
Range9704
Interquartile range (IQR)66

Descriptive statistics

Standard deviation599.06159
Coefficient of variation (CV)5.4618613
Kurtosis236.59353
Mean109.68085
Median Absolute Deviation (MAD)28.5
Skewness14.879768
Sum30930
Variance358874.79
MonotonicityNot monotonic
2024-04-06T17:18:10.984313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.6%
5 15
 
5.0%
2 14
 
4.6%
4 9
 
3.0%
8 6
 
2.0%
34 6
 
2.0%
30 6
 
2.0%
6 5
 
1.7%
1 5
 
1.7%
24 5
 
1.7%
Other values (111) 194
64.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 14
4.6%
3 17
5.6%
4 9
3.0%
5 15
5.0%
6 5
 
1.7%
7 4
 
1.3%
8 6
 
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
9704 1
0.3%
2029 1
0.3%
1089 1
0.3%
949 1
0.3%
814 1
0.3%
762 1
0.3%
624 1
0.3%
475 1
0.3%
415 1
0.3%
409 1
0.3%

2015-02
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)42.9%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean107.00709
Minimum0
Maximum9438
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:11.359724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median33.5
Q371
95-th percentile245.75
Maximum9438
Range9438
Interquartile range (IQR)63

Descriptive statistics

Standard deviation584.46951
Coefficient of variation (CV)5.4619699
Kurtosis233.68766
Mean107.00709
Median Absolute Deviation (MAD)28.5
Skewness14.768256
Sum30176
Variance341604.61
MonotonicityNot monotonic
2024-04-06T17:18:11.754560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
6 14
 
4.6%
2 14
 
4.6%
4 10
 
3.3%
9 9
 
3.0%
1 7
 
2.3%
32 6
 
2.0%
8 6
 
2.0%
24 6
 
2.0%
5 5
 
1.7%
Other values (111) 189
62.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.3%
2 14
4.6%
3 16
5.3%
4 10
3.3%
5 5
 
1.7%
6 14
4.6%
7 2
 
0.7%
8 6
 
2.0%
9 9
3.0%
ValueCountFrequency (%)
9438 1
0.3%
2062 1
0.3%
1343 1
0.3%
820 1
0.3%
711 1
0.3%
646 1
0.3%
595 1
0.3%
484 1
0.3%
453 1
0.3%
427 1
0.3%

2015-03
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)49.6%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean154.71277
Minimum0
Maximum13715
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:12.041311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median48
Q398
95-th percentile321.3
Maximum13715
Range13715
Interquartile range (IQR)87

Descriptive statistics

Standard deviation858.4406
Coefficient of variation (CV)5.5486087
Kurtosis224.22995
Mean154.71277
Median Absolute Deviation (MAD)41
Skewness14.40182
Sum43629
Variance736920.27
MonotonicityNot monotonic
2024-04-06T17:18:12.466788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
3 13
 
4.3%
11 9
 
3.0%
6 9
 
3.0%
8 7
 
2.3%
7 7
 
2.3%
5 6
 
2.0%
2 6
 
2.0%
98 4
 
1.3%
42 4
 
1.3%
Other values (130) 204
67.5%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 6
2.0%
3 13
4.3%
4 13
4.3%
5 6
2.0%
6 9
3.0%
7 7
2.3%
8 7
2.3%
9 3
 
1.0%
ValueCountFrequency (%)
13715 1
0.3%
3105 1
0.3%
2903 1
0.3%
996 1
0.3%
938 1
0.3%
900 1
0.3%
873 1
0.3%
819 1
0.3%
653 1
0.3%
530 1
0.3%

2015-04
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)48.2%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean155.41844
Minimum0
Maximum13747
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:12.875376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median53.5
Q3104.5
95-th percentile337.5
Maximum13747
Range13747
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation856.55574
Coefficient of variation (CV)5.5112877
Kurtosis228.29921
Mean155.41844
Median Absolute Deviation (MAD)45
Skewness14.570263
Sum43828
Variance733687.73
MonotonicityNot monotonic
2024-04-06T17:18:13.219030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
5 10
 
3.3%
3 10
 
3.3%
7 9
 
3.0%
2 8
 
2.6%
6 7
 
2.3%
13 5
 
1.7%
8 5
 
1.7%
86 4
 
1.3%
11 4
 
1.3%
Other values (126) 207
68.5%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 8
2.6%
3 10
3.3%
4 13
4.3%
5 10
3.3%
6 7
2.3%
7 9
3.0%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
13747 1
0.3%
3379 1
0.3%
2174 1
0.3%
1119 1
0.3%
969 1
0.3%
941 1
0.3%
900 1
0.3%
682 1
0.3%
580 1
0.3%
445 1
0.3%

2015-05
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)50.4%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean145.21986
Minimum0
Maximum12834
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:13.545430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median48
Q397.5
95-th percentile365.75
Maximum12834
Range12834
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation799.09489
Coefficient of variation (CV)5.5026558
Kurtosis228.89885
Mean145.21986
Median Absolute Deviation (MAD)41
Skewness14.592602
Sum40952
Variance638552.65
MonotonicityNot monotonic
2024-04-06T17:18:13.831485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
6 12
 
4.0%
7 10
 
3.3%
4 10
 
3.3%
5 8
 
2.6%
2 7
 
2.3%
21 5
 
1.7%
62 5
 
1.7%
9 4
 
1.3%
11 4
 
1.3%
Other values (132) 204
67.5%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 7
2.3%
3 13
4.3%
4 10
3.3%
5 8
2.6%
6 12
4.0%
7 10
3.3%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
12834 1
0.3%
3050 1
0.3%
2192 1
0.3%
1032 1
0.3%
828 1
0.3%
775 1
0.3%
760 1
0.3%
662 1
0.3%
507 1
0.3%
457 1
0.3%

2015-06
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)48.9%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean148.01418
Minimum1
Maximum13064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:14.128282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median48.5
Q398
95-th percentile325.3
Maximum13064
Range13063
Interquartile range (IQR)88

Descriptive statistics

Standard deviation812.57158
Coefficient of variation (CV)5.4898224
Kurtosis229.81541
Mean148.01418
Median Absolute Deviation (MAD)41.5
Skewness14.628097
Sum41740
Variance660272.57
MonotonicityNot monotonic
2024-04-06T17:18:14.921794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
4.3%
4 11
 
3.6%
8 9
 
3.0%
2 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
11 7
 
2.3%
3 6
 
2.0%
47 5
 
1.7%
9 5
 
1.7%
Other values (128) 203
67.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 8
2.6%
3 6
2.0%
4 11
3.6%
5 13
4.3%
6 8
2.6%
7 7
2.3%
8 9
3.0%
9 5
 
1.7%
10 4
 
1.3%
ValueCountFrequency (%)
13064 1
0.3%
3105 1
0.3%
2094 1
0.3%
1126 1
0.3%
870 1
0.3%
818 1
0.3%
768 1
0.3%
688 1
0.3%
506 1
0.3%
455 1
0.3%

2015-07
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)49.6%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean160.3227
Minimum1
Maximum14206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:15.210696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median49.5
Q3102.5
95-th percentile366.9
Maximum14206
Range14205
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation881.75088
Coefficient of variation (CV)5.4998507
Kurtosis231.60728
Mean160.3227
Median Absolute Deviation (MAD)41.5
Skewness14.681721
Sum45211
Variance777484.62
MonotonicityNot monotonic
2024-04-06T17:18:15.487955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 10
 
3.3%
8 10
 
3.3%
4 10
 
3.3%
3 9
 
3.0%
2 9
 
3.0%
6 7
 
2.3%
9 6
 
2.0%
10 5
 
1.7%
61 5
 
1.7%
5 5
 
1.7%
Other values (130) 206
68.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 9
3.0%
3 9
3.0%
4 10
3.3%
5 5
1.7%
6 7
2.3%
7 5
1.7%
8 10
3.3%
9 6
2.0%
10 5
1.7%
ValueCountFrequency (%)
14206 1
0.3%
3008 1
0.3%
2407 1
0.3%
1196 1
0.3%
929 1
0.3%
887 1
0.3%
864 2
0.7%
843 1
0.3%
760 1
0.3%
499 1
0.3%

2015-08
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)47.5%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean132.21277
Minimum1
Maximum11677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:15.786047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median42
Q391.75
95-th percentile289.9
Maximum11677
Range11676
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation727.484
Coefficient of variation (CV)5.5023733
Kurtosis228.38819
Mean132.21277
Median Absolute Deviation (MAD)36
Skewness14.574311
Sum37284
Variance529232.97
MonotonicityNot monotonic
2024-04-06T17:18:16.068131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
5.0%
2 10
 
3.3%
4 10
 
3.3%
3 9
 
3.0%
6 8
 
2.6%
10 7
 
2.3%
42 7
 
2.3%
9 7
 
2.3%
7 6
 
2.0%
59 5
 
1.7%
Other values (124) 198
65.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 10
3.3%
3 9
3.0%
4 10
3.3%
5 15
5.0%
6 8
2.6%
7 6
 
2.0%
8 3
 
1.0%
9 7
2.3%
10 7
2.3%
ValueCountFrequency (%)
11677 1
0.3%
2831 1
0.3%
1948 1
0.3%
996 1
0.3%
753 1
0.3%
707 1
0.3%
662 1
0.3%
652 1
0.3%
436 1
0.3%
416 1
0.3%

2015-09
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.0%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean120.37234
Minimum0
Maximum10627
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:16.380773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median38.5
Q375.75
95-th percentile279.5
Maximum10627
Range10627
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation664.74124
Coefficient of variation (CV)5.5223753
Kurtosis225.00968
Mean120.37234
Median Absolute Deviation (MAD)32.5
Skewness14.456457
Sum33945
Variance441880.91
MonotonicityNot monotonic
2024-04-06T17:18:16.677340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
5 12
 
4.0%
4 10
 
3.3%
2 10
 
3.3%
6 9
 
3.0%
1 6
 
2.0%
9 6
 
2.0%
12 6
 
2.0%
38 6
 
2.0%
11 6
 
2.0%
Other values (114) 198
65.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 6
2.0%
2 10
3.3%
3 13
4.3%
4 10
3.3%
5 12
4.0%
6 9
3.0%
7 3
 
1.0%
8 4
 
1.3%
9 6
2.0%
ValueCountFrequency (%)
10627 1
0.3%
2847 1
0.3%
1698 1
0.3%
832 1
0.3%
686 1
0.3%
645 1
0.3%
593 1
0.3%
555 1
0.3%
422 1
0.3%
340 1
0.3%

2015-10
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)46.5%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean140.51773
Minimum0
Maximum12377
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:17.020180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median51.5
Q392
95-th percentile328.95
Maximum12377
Range12377
Interquartile range (IQR)82

Descriptive statistics

Standard deviation772.15676
Coefficient of variation (CV)5.4950842
Kurtosis227.22613
Mean140.51773
Median Absolute Deviation (MAD)41
Skewness14.536218
Sum39626
Variance596226.07
MonotonicityNot monotonic
2024-04-06T17:18:17.287473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 11
 
3.6%
2 9
 
3.0%
4 8
 
2.6%
10 8
 
2.6%
7 7
 
2.3%
6 7
 
2.3%
72 6
 
2.0%
11 6
 
2.0%
8 6
 
2.0%
3 6
 
2.0%
Other values (121) 208
68.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 9
3.0%
3 6
2.0%
4 8
2.6%
5 11
3.6%
6 7
2.3%
7 7
2.3%
8 6
2.0%
9 5
1.7%
ValueCountFrequency (%)
12377 1
0.3%
3164 1
0.3%
1936 1
0.3%
1070 1
0.3%
920 1
0.3%
779 1
0.3%
610 1
0.3%
587 1
0.3%
519 1
0.3%
369 1
0.3%

2015-11
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.1%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean136.38298
Minimum1
Maximum11978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:17.570091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median45
Q390.75
95-th percentile317.85
Maximum11978
Range11977
Interquartile range (IQR)80.75

Descriptive statistics

Standard deviation746.91253
Coefficient of variation (CV)5.4765817
Kurtosis227.54581
Mean136.38298
Median Absolute Deviation (MAD)38
Skewness14.540564
Sum38460
Variance557878.33
MonotonicityNot monotonic
2024-04-06T17:18:17.889960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
5 10
 
3.3%
3 9
 
3.0%
2 9
 
3.0%
7 8
 
2.6%
10 8
 
2.6%
6 7
 
2.3%
9 5
 
1.7%
22 5
 
1.7%
36 4
 
1.3%
Other values (120) 204
67.5%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 9
3.0%
3 9
3.0%
4 13
4.3%
5 10
3.3%
6 7
2.3%
7 8
2.6%
8 3
 
1.0%
9 5
 
1.7%
10 8
2.6%
ValueCountFrequency (%)
11978 1
0.3%
2994 1
0.3%
1815 1
0.3%
1128 1
0.3%
1020 1
0.3%
708 1
0.3%
670 1
0.3%
533 1
0.3%
506 1
0.3%
406 1
0.3%

2015-12
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)47.5%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean131.69149
Minimum0
Maximum11596
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:18.157199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median43
Q388.75
95-th percentile330
Maximum11596
Range11596
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation720.47294
Coefficient of variation (CV)5.4709149
Kurtosis230.76616
Mean131.69149
Median Absolute Deviation (MAD)36
Skewness14.66273
Sum37137
Variance519081.25
MonotonicityNot monotonic
2024-04-06T17:18:18.587939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
5 11
 
3.6%
4 11
 
3.6%
6 9
 
3.0%
2 8
 
2.6%
35 6
 
2.0%
10 6
 
2.0%
8 5
 
1.7%
7 4
 
1.3%
68 4
 
1.3%
Other values (124) 205
67.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 8
2.6%
3 13
4.3%
4 11
3.6%
5 11
3.6%
6 9
3.0%
7 4
 
1.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
11596 1
0.3%
2750 1
0.3%
1648 1
0.3%
1057 1
0.3%
1038 1
0.3%
669 1
0.3%
644 1
0.3%
508 1
0.3%
481 1
0.3%
410 1
0.3%

2016-01
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)42.2%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean102.02128
Minimum0
Maximum8978
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:18.904239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median33
Q360.75
95-th percentile246.25
Maximum8978
Range8978
Interquartile range (IQR)52.75

Descriptive statistics

Standard deviation556.98069
Coefficient of variation (CV)5.4594562
Kurtosis232.11102
Mean102.02128
Median Absolute Deviation (MAD)26
Skewness14.714848
Sum28770
Variance310227.49
MonotonicityNot monotonic
2024-04-06T17:18:19.173127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 15
 
5.0%
3 15
 
5.0%
4 10
 
3.3%
5 9
 
3.0%
6 8
 
2.6%
49 7
 
2.3%
45 5
 
1.7%
8 5
 
1.7%
28 5
 
1.7%
35 5
 
1.7%
Other values (109) 198
65.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 15
5.0%
3 15
5.0%
4 10
3.3%
5 9
3.0%
6 8
2.6%
7 5
 
1.7%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
8978 1
0.3%
2103 1
0.3%
1207 1
0.3%
776 1
0.3%
770 1
0.3%
632 1
0.3%
435 1
0.3%
408 1
0.3%
341 1
0.3%
334 1
0.3%

2016-02
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)38.7%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean89.22695
Minimum1
Maximum7852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:19.443496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median31.5
Q356.75
95-th percentile230.65
Maximum7852
Range7851
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation487.43583
Coefficient of variation (CV)5.4628768
Kurtosis231.59385
Mean89.22695
Median Absolute Deviation (MAD)24.5
Skewness14.702579
Sum25162
Variance237593.69
MonotonicityNot monotonic
2024-04-06T17:18:19.801860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 19
 
6.3%
6 13
 
4.3%
4 13
 
4.3%
3 9
 
3.0%
15 6
 
2.0%
1 6
 
2.0%
8 6
 
2.0%
18 6
 
2.0%
32 5
 
1.7%
21 5
 
1.7%
Other values (99) 194
64.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 6
 
2.0%
2 19
6.3%
3 9
3.0%
4 13
4.3%
5 5
 
1.7%
6 13
4.3%
7 5
 
1.7%
8 6
 
2.0%
9 1
 
0.3%
10 5
 
1.7%
ValueCountFrequency (%)
7852 1
0.3%
1888 1
0.3%
1132 1
0.3%
585 1
0.3%
565 1
0.3%
494 1
0.3%
375 1
0.3%
366 1
0.3%
356 1
0.3%
337 1
0.3%

2016-03
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)42.9%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean112.36525
Minimum1
Maximum9938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:20.146432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median41
Q373.75
95-th percentile278.85
Maximum9938
Range9937
Interquartile range (IQR)62.75

Descriptive statistics

Standard deviation618.11242
Coefficient of variation (CV)5.5009216
Kurtosis229.96397
Mean112.36525
Median Absolute Deviation (MAD)30.5
Skewness14.64378
Sum31687
Variance382062.96
MonotonicityNot monotonic
2024-04-06T17:18:20.449417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 11
 
3.6%
4 11
 
3.6%
2 9
 
3.0%
5 7
 
2.3%
6 7
 
2.3%
11 7
 
2.3%
10 6
 
2.0%
8 6
 
2.0%
46 6
 
2.0%
7 5
 
1.7%
Other values (111) 207
68.5%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 9
3.0%
3 11
3.6%
4 11
3.6%
5 7
2.3%
6 7
2.3%
7 5
1.7%
8 6
2.0%
9 2
 
0.7%
10 6
2.0%
ValueCountFrequency (%)
9938 1
0.3%
2463 1
0.3%
1492 1
0.3%
806 1
0.3%
623 1
0.3%
586 1
0.3%
565 1
0.3%
490 1
0.3%
414 1
0.3%
368 1
0.3%

2016-04
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.0%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean116.08511
Minimum1
Maximum10283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:20.761734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median40.5
Q377
95-th percentile301.8
Maximum10283
Range10282
Interquartile range (IQR)67

Descriptive statistics

Standard deviation640.18451
Coefficient of variation (CV)5.5147859
Kurtosis229.11601
Mean116.08511
Median Absolute Deviation (MAD)32.5
Skewness14.610767
Sum32736
Variance409836.21
MonotonicityNot monotonic
2024-04-06T17:18:21.088649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
4.0%
4 12
 
4.0%
3 10
 
3.3%
2 8
 
2.6%
77 7
 
2.3%
7 7
 
2.3%
8 7
 
2.3%
10 6
 
2.0%
5 5
 
1.7%
1 5
 
1.7%
Other values (114) 203
67.2%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 5
1.7%
2 8
2.6%
3 10
3.3%
4 12
4.0%
5 5
1.7%
6 12
4.0%
7 7
2.3%
8 7
2.3%
9 1
 
0.3%
10 6
2.0%
ValueCountFrequency (%)
10283 1
0.3%
2551 1
0.3%
1637 1
0.3%
773 1
0.3%
726 1
0.3%
586 1
0.3%
570 1
0.3%
497 1
0.3%
401 1
0.3%
390 1
0.3%

2016-05
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.0%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean122.75177
Minimum1
Maximum10912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:21.345029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q110
median39
Q380
95-th percentile292.9
Maximum10912
Range10911
Interquartile range (IQR)70

Descriptive statistics

Standard deviation680.85386
Coefficient of variation (CV)5.5465909
Kurtosis227.11339
Mean122.75177
Median Absolute Deviation (MAD)32
Skewness14.524733
Sum34616
Variance463561.98
MonotonicityNot monotonic
2024-04-06T17:18:21.608795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 11
 
3.6%
4 10
 
3.3%
2 10
 
3.3%
3 9
 
3.0%
5 8
 
2.6%
7 6
 
2.0%
29 5
 
1.7%
39 5
 
1.7%
14 5
 
1.7%
36 5
 
1.7%
Other values (114) 208
68.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 5
1.7%
2 10
3.3%
3 9
3.0%
4 10
3.3%
5 8
2.6%
6 11
3.6%
7 6
2.0%
8 5
1.7%
9 5
1.7%
10 4
 
1.3%
ValueCountFrequency (%)
10912 1
0.3%
2666 1
0.3%
1911 1
0.3%
846 1
0.3%
714 1
0.3%
684 1
0.3%
651 1
0.3%
555 1
0.3%
480 1
0.3%
450 1
0.3%

2016-06
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)47.9%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean129.93617
Minimum1
Maximum11510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:21.863995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q111
median43.5
Q389
95-th percentile288.4
Maximum11510
Range11509
Interquartile range (IQR)78

Descriptive statistics

Standard deviation720.42244
Coefficient of variation (CV)5.5444334
Kurtosis224.41849
Mean129.93617
Median Absolute Deviation (MAD)36.5
Skewness14.428527
Sum36642
Variance519008.49
MonotonicityNot monotonic
2024-04-06T17:18:22.115974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
2 11
 
3.6%
6 9
 
3.0%
5 8
 
2.6%
7 7
 
2.3%
3 7
 
2.3%
8 7
 
2.3%
28 5
 
1.7%
53 5
 
1.7%
11 5
 
1.7%
Other values (125) 205
67.9%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 7
2.3%
4 13
4.3%
5 8
2.6%
6 9
3.0%
7 7
2.3%
8 7
2.3%
9 2
 
0.7%
10 2
 
0.7%
ValueCountFrequency (%)
11510 1
0.3%
2986 1
0.3%
2044 1
0.3%
966 1
0.3%
866 1
0.3%
668 1
0.3%
563 1
0.3%
503 1
0.3%
439 1
0.3%
371 1
0.3%

2016-07
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)49.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean134.14695
Minimum0
Maximum11756
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:22.552629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median40
Q392
95-th percentile315.1
Maximum11756
Range11756
Interquartile range (IQR)83

Descriptive statistics

Standard deviation745.0951
Coefficient of variation (CV)5.55432
Kurtosis216.02577
Mean134.14695
Median Absolute Deviation (MAD)35
Skewness14.1285
Sum37427
Variance555166.71
MonotonicityNot monotonic
2024-04-06T17:18:23.326662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
4 12
 
4.0%
2 12
 
4.0%
11 9
 
3.0%
6 9
 
3.0%
8 6
 
2.0%
22 6
 
2.0%
5 6
 
2.0%
7 5
 
1.7%
52 4
 
1.3%
Other values (129) 197
65.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 12
4.0%
3 13
4.3%
4 12
4.0%
5 6
2.0%
6 9
3.0%
7 5
 
1.7%
8 6
2.0%
9 3
 
1.0%
ValueCountFrequency (%)
11756 1
0.3%
3307 1
0.3%
2336 1
0.3%
832 1
0.3%
809 1
0.3%
679 1
0.3%
521 1
0.3%
497 1
0.3%
383 1
0.3%
346 1
0.3%

2016-08
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)48.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean139.28315
Minimum0
Maximum12234
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:23.664187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19.5
median42
Q3100
95-th percentile313.9
Maximum12234
Range12234
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation774.68292
Coefficient of variation (CV)5.5619283
Kurtosis216.83469
Mean139.28315
Median Absolute Deviation (MAD)37
Skewness14.160079
Sum38860
Variance600133.63
MonotonicityNot monotonic
2024-04-06T17:18:23.992390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.6%
4 15
 
5.0%
5 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
2 7
 
2.3%
13 6
 
2.0%
43 6
 
2.0%
11 5
 
1.7%
21 5
 
1.7%
Other values (126) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 7
2.3%
3 17
5.6%
4 15
5.0%
5 8
2.6%
6 8
2.6%
7 7
2.3%
8 4
 
1.3%
9 2
 
0.7%
ValueCountFrequency (%)
12234 1
0.3%
3482 1
0.3%
2249 1
0.3%
957 1
0.3%
847 1
0.3%
757 1
0.3%
553 1
0.3%
490 1
0.3%
419 1
0.3%
361 1
0.3%

2016-09
Real number (ℝ)

MISSING 

Distinct137
Distinct (%)49.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean128.75986
Minimum0
Maximum11295
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:24.353912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median40
Q391.5
95-th percentile308.3
Maximum11295
Range11295
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation713.26273
Coefficient of variation (CV)5.5394806
Kurtosis219.10703
Mean128.75986
Median Absolute Deviation (MAD)35
Skewness14.246611
Sum35924
Variance508743.72
MonotonicityNot monotonic
2024-04-06T17:18:24.682325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
4 14
 
4.6%
5 10
 
3.3%
3 10
 
3.3%
6 9
 
3.0%
9 7
 
2.3%
21 6
 
2.0%
10 5
 
1.7%
8 4
 
1.3%
12 4
 
1.3%
Other values (127) 194
64.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 16
5.3%
3 10
3.3%
4 14
4.6%
5 10
3.3%
6 9
3.0%
7 3
 
1.0%
8 4
 
1.3%
9 7
2.3%
ValueCountFrequency (%)
11295 1
0.3%
3166 1
0.3%
1891 1
0.3%
1071 1
0.3%
699 1
0.3%
638 1
0.3%
558 1
0.3%
435 1
0.3%
415 1
0.3%
386 1
0.3%

2016-10
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)48.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.2724
Minimum1
Maximum13161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:24.978741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19.5
median43
Q3109
95-th percentile358.1
Maximum13161
Range13160
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation831.17513
Coefficient of variation (CV)5.5311229
Kurtosis219.02449
Mean150.2724
Median Absolute Deviation (MAD)38
Skewness14.244358
Sum41926
Variance690852.09
MonotonicityNot monotonic
2024-04-06T17:18:25.373304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
5.3%
5 13
 
4.3%
3 13
 
4.3%
8 6
 
2.0%
1 5
 
1.7%
17 5
 
1.7%
6 5
 
1.7%
12 5
 
1.7%
42 4
 
1.3%
11 4
 
1.3%
Other values (125) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 4
 
1.3%
3 13
4.3%
4 16
5.3%
5 13
4.3%
6 5
 
1.7%
7 4
 
1.3%
8 6
 
2.0%
9 4
 
1.3%
10 1
 
0.3%
ValueCountFrequency (%)
13161 1
0.3%
3696 1
0.3%
2246 1
0.3%
1103 1
0.3%
819 1
0.3%
787 1
0.3%
629 1
0.3%
535 1
0.3%
510 1
0.3%
396 1
0.3%

2016-11
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean146.47312
Minimum1
Maximum12867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:25.939854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median45
Q3105
95-th percentile366.2
Maximum12867
Range12866
Interquartile range (IQR)94

Descriptive statistics

Standard deviation807.70589
Coefficient of variation (CV)5.5143626
Kurtosis224.11248
Mean146.47312
Median Absolute Deviation (MAD)39
Skewness14.43424
Sum40866
Variance652388.8
MonotonicityNot monotonic
2024-04-06T17:18:26.307111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
6 10
 
3.3%
3 10
 
3.3%
2 10
 
3.3%
5 9
 
3.0%
18 6
 
2.0%
17 6
 
2.0%
13 5
 
1.7%
10 5
 
1.7%
52 5
 
1.7%
Other values (131) 200
66.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 10
3.3%
3 10
3.3%
4 13
4.3%
5 9
3.0%
6 10
3.3%
7 4
 
1.3%
8 2
 
0.7%
9 3
 
1.0%
10 5
 
1.7%
ValueCountFrequency (%)
12867 1
0.3%
3345 1
0.3%
2038 1
0.3%
1093 1
0.3%
865 1
0.3%
801 1
0.3%
623 1
0.3%
524 1
0.3%
463 1
0.3%
461 1
0.3%

2016-12
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)47.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean133.43728
Minimum0
Maximum11743
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:26.647555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19.5
median40
Q391.5
95-th percentile330.6
Maximum11743
Range11743
Interquartile range (IQR)82

Descriptive statistics

Standard deviation739.12379
Coefficient of variation (CV)5.5391103
Kurtosis221.87469
Mean133.43728
Median Absolute Deviation (MAD)34
Skewness14.352377
Sum37229
Variance546303.97
MonotonicityNot monotonic
2024-04-06T17:18:26.952612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 13
 
4.3%
4 10
 
3.3%
6 8
 
2.6%
5 8
 
2.6%
7 7
 
2.3%
8 7
 
2.3%
9 7
 
2.3%
26 6
 
2.0%
3 6
 
2.0%
45 5
 
1.7%
Other values (122) 202
66.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 13
4.3%
3 6
2.0%
4 10
3.3%
5 8
2.6%
6 8
2.6%
7 7
2.3%
8 7
2.3%
9 7
2.3%
ValueCountFrequency (%)
11743 1
0.3%
3151 1
0.3%
1993 1
0.3%
957 1
0.3%
746 1
0.3%
588 1
0.3%
547 1
0.3%
543 1
0.3%
433 1
0.3%
398 1
0.3%

2017-01
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)42.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean96.326165
Minimum0
Maximum8464
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:27.293944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median30
Q362
95-th percentile237
Maximum8464
Range8464
Interquartile range (IQR)55

Descriptive statistics

Standard deviation529.2256
Coefficient of variation (CV)5.4941002
Kurtosis227.57659
Mean96.326165
Median Absolute Deviation (MAD)25
Skewness14.568887
Sum26875
Variance280079.74
MonotonicityNot monotonic
2024-04-06T17:18:27.565433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
6.3%
2 13
 
4.3%
3 10
 
3.3%
5 10
 
3.3%
1 8
 
2.6%
20 8
 
2.6%
7 7
 
2.3%
8 6
 
2.0%
6 5
 
1.7%
13 5
 
1.7%
Other values (108) 188
62.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 13
4.3%
3 10
3.3%
4 19
6.3%
5 10
3.3%
6 5
 
1.7%
7 7
 
2.3%
8 6
 
2.0%
9 1
 
0.3%
ValueCountFrequency (%)
8464 1
0.3%
2151 1
0.3%
1115 1
0.3%
650 1
0.3%
644 1
0.3%
430 2
0.7%
415 1
0.3%
391 1
0.3%
318 1
0.3%
301 1
0.3%

2017-02
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)40.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean96.734767
Minimum0
Maximum8518
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:27.849459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median33
Q363
95-th percentile272.1
Maximum8518
Range8518
Interquartile range (IQR)54

Descriptive statistics

Standard deviation530.93928
Coefficient of variation (CV)5.4886087
Kurtosis230.29908
Mean96.734767
Median Absolute Deviation (MAD)26
Skewness14.669759
Sum26989
Variance281896.52
MonotonicityNot monotonic
2024-04-06T17:18:28.218631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
6 12
 
4.0%
4 12
 
4.0%
2 11
 
3.6%
5 9
 
3.0%
9 6
 
2.0%
47 6
 
2.0%
12 5
 
1.7%
16 5
 
1.7%
13 5
 
1.7%
Other values (104) 193
63.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 11
3.6%
3 15
5.0%
4 12
4.0%
5 9
3.0%
6 12
4.0%
7 5
 
1.7%
8 1
 
0.3%
9 6
 
2.0%
ValueCountFrequency (%)
8518 1
0.3%
2021 1
0.3%
1157 1
0.3%
676 1
0.3%
658 1
0.3%
449 1
0.3%
444 1
0.3%
423 1
0.3%
375 1
0.3%
360 1
0.3%

2017-03
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)45.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.07885
Minimum0
Maximum10564
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:28.507443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median41
Q377
95-th percentile317.3
Maximum10564
Range10564
Interquartile range (IQR)67

Descriptive statistics

Standard deviation661.81721
Coefficient of variation (CV)5.5115218
Kurtosis225.95254
Mean120.07885
Median Absolute Deviation (MAD)32
Skewness14.513226
Sum33502
Variance438002.02
MonotonicityNot monotonic
2024-04-06T17:18:28.917810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
6.0%
2 11
 
3.6%
6 11
 
3.6%
7 9
 
3.0%
4 7
 
2.3%
58 7
 
2.3%
57 6
 
2.0%
10 6
 
2.0%
14 5
 
1.7%
13 4
 
1.3%
Other values (116) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 11
3.6%
3 3
 
1.0%
4 7
 
2.3%
5 18
6.0%
6 11
3.6%
7 9
3.0%
8 3
 
1.0%
9 2
 
0.7%
ValueCountFrequency (%)
10564 1
0.3%
2790 1
0.3%
1432 1
0.3%
756 1
0.3%
754 1
0.3%
631 1
0.3%
531 1
0.3%
501 1
0.3%
474 1
0.3%
403 1
0.3%

2017-04
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean118.73118
Minimum1
Maximum10433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:29.261713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18.5
median39
Q379.5
95-th percentile302.6
Maximum10433
Range10432
Interquartile range (IQR)71

Descriptive statistics

Standard deviation653.9409
Coefficient of variation (CV)5.5077435
Kurtosis225.37898
Mean118.73118
Median Absolute Deviation (MAD)32
Skewness14.481511
Sum33126
Variance427638.7
MonotonicityNot monotonic
2024-04-06T17:18:29.519751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
5.0%
3 11
 
3.6%
4 9
 
3.0%
7 9
 
3.0%
6 9
 
3.0%
2 8
 
2.6%
19 6
 
2.0%
46 6
 
2.0%
11 6
 
2.0%
33 5
 
1.7%
Other values (118) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 8
2.6%
3 11
3.6%
4 9
3.0%
5 15
5.0%
6 9
3.0%
7 9
3.0%
8 5
 
1.7%
9 2
 
0.7%
10 3
 
1.0%
ValueCountFrequency (%)
10433 1
0.3%
2641 1
0.3%
1662 1
0.3%
892 1
0.3%
680 1
0.3%
618 1
0.3%
467 1
0.3%
465 1
0.3%
423 1
0.3%
382 1
0.3%

2017-05
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)48.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean136.35842
Minimum1
Maximum11938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:29.789177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median43
Q391
95-th percentile308.7
Maximum11938
Range11937
Interquartile range (IQR)82

Descriptive statistics

Standard deviation748.50094
Coefficient of variation (CV)5.4892167
Kurtosis225.0115
Mean136.35842
Median Absolute Deviation (MAD)37
Skewness14.459747
Sum38044
Variance560253.66
MonotonicityNot monotonic
2024-04-06T17:18:30.130047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 12
 
4.0%
4 12
 
4.0%
5 11
 
3.6%
6 9
 
3.0%
8 8
 
2.6%
2 8
 
2.6%
90 7
 
2.3%
22 6
 
2.0%
12 5
 
1.7%
1 5
 
1.7%
Other values (124) 196
64.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
1.7%
2 8
2.6%
3 12
4.0%
4 12
4.0%
5 11
3.6%
6 9
3.0%
7 4
 
1.3%
8 8
2.6%
9 3
 
1.0%
10 2
 
0.7%
ValueCountFrequency (%)
11938 1
0.3%
2957 1
0.3%
1961 1
0.3%
1030 1
0.3%
909 1
0.3%
732 1
0.3%
553 1
0.3%
516 1
0.3%
495 1
0.3%
479 1
0.3%

2017-06
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)47.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.58781
Minimum0
Maximum13164
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:30.469235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q110
median45
Q3103.5
95-th percentile343.7
Maximum13164
Range13164
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation831.03258
Coefficient of variation (CV)5.5185912
Kurtosis219.31357
Mean150.58781
Median Absolute Deviation (MAD)38
Skewness14.254147
Sum42014
Variance690615.16
MonotonicityNot monotonic
2024-04-06T17:18:30.742245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 12
 
4.0%
3 11
 
3.6%
7 9
 
3.0%
4 8
 
2.6%
6 8
 
2.6%
5 8
 
2.6%
8 6
 
2.0%
33 5
 
1.7%
14 5
 
1.7%
9 5
 
1.7%
Other values (123) 202
66.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 12
4.0%
3 11
3.6%
4 8
2.6%
5 8
2.6%
6 8
2.6%
7 9
3.0%
8 6
2.0%
9 5
1.7%
ValueCountFrequency (%)
13164 1
0.3%
3645 1
0.3%
2331 1
0.3%
1022 1
0.3%
812 1
0.3%
716 1
0.3%
680 1
0.3%
580 1
0.3%
501 1
0.3%
442 1
0.3%

2017-07
Real number (ℝ)

MISSING 

Distinct138
Distinct (%)49.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean158.08602
Minimum1
Maximum13863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:31.021028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110.5
median44
Q3104.5
95-th percentile362.4
Maximum13863
Range13862
Interquartile range (IQR)94

Descriptive statistics

Standard deviation879.25591
Coefficient of variation (CV)5.5618827
Kurtosis215.68844
Mean158.08602
Median Absolute Deviation (MAD)38
Skewness14.128576
Sum44106
Variance773090.96
MonotonicityNot monotonic
2024-04-06T17:18:31.308241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
4 12
 
4.0%
6 10
 
3.3%
5 10
 
3.3%
2 8
 
2.6%
11 6
 
2.0%
22 5
 
1.7%
16 5
 
1.7%
7 5
 
1.7%
30 5
 
1.7%
Other values (128) 199
65.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 2
 
0.7%
2 8
2.6%
3 14
4.6%
4 12
4.0%
5 10
3.3%
6 10
3.3%
7 5
 
1.7%
8 3
 
1.0%
9 3
 
1.0%
10 3
 
1.0%
ValueCountFrequency (%)
13863 1
0.3%
4190 1
0.3%
2316 1
0.3%
941 1
0.3%
792 1
0.3%
786 1
0.3%
742 1
0.3%
655 1
0.3%
474 1
0.3%
457 2
0.7%

2017-08
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)50.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean173.94265
Minimum1
Maximum15270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:31.592006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q112
median48
Q3111.5
95-th percentile368.7
Maximum15270
Range15269
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation966.43938
Coefficient of variation (CV)5.5560805
Kurtosis217.23611
Mean173.94265
Median Absolute Deviation (MAD)42
Skewness14.171615
Sum48530
Variance934005.08
MonotonicityNot monotonic
2024-04-06T17:18:32.339592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
4.3%
2 10
 
3.3%
3 10
 
3.3%
8 7
 
2.3%
4 7
 
2.3%
6 6
 
2.0%
26 5
 
1.7%
7 5
 
1.7%
127 4
 
1.3%
1 4
 
1.3%
Other values (132) 208
68.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 10
3.3%
3 10
3.3%
4 7
2.3%
5 13
4.3%
6 6
2.0%
7 5
 
1.7%
8 7
2.3%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
15270 1
0.3%
4345 1
0.3%
2670 1
0.3%
1228 1
0.3%
1038 1
0.3%
1016 1
0.3%
815 1
0.3%
707 1
0.3%
541 1
0.3%
426 1
0.3%

2017-09
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)48.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.06452
Minimum1
Maximum13128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:32.788164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q111
median44
Q3102
95-th percentile338.6
Maximum13128
Range13127
Interquartile range (IQR)91

Descriptive statistics

Standard deviation832.05461
Coefficient of variation (CV)5.5446459
Kurtosis216.29914
Mean150.06452
Median Absolute Deviation (MAD)38
Skewness14.153642
Sum41868
Variance692314.87
MonotonicityNot monotonic
2024-04-06T17:18:33.060377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
2 11
 
3.6%
3 10
 
3.3%
5 10
 
3.3%
6 8
 
2.6%
7 6
 
2.0%
45 6
 
2.0%
13 5
 
1.7%
20 5
 
1.7%
38 5
 
1.7%
Other values (125) 199
65.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 10
3.3%
4 14
4.6%
5 10
3.3%
6 8
2.6%
7 6
2.0%
8 2
 
0.7%
9 3
 
1.0%
10 1
 
0.3%
ValueCountFrequency (%)
13128 1
0.3%
4009 1
0.3%
1953 1
0.3%
936 1
0.3%
815 1
0.3%
755 1
0.3%
725 1
0.3%
713 1
0.3%
566 1
0.3%
451 1
0.3%

2017-10
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)44.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.2724
Minimum1
Maximum10428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:33.451905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median33
Q380.5
95-th percentile326.4
Maximum10428
Range10427
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation665.11576
Coefficient of variation (CV)5.530078
Kurtosis211.63748
Mean120.2724
Median Absolute Deviation (MAD)28
Skewness14.005349
Sum33556
Variance442378.98
MonotonicityNot monotonic
2024-04-06T17:18:33.724771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 15
 
5.0%
4 14
 
4.6%
5 11
 
3.6%
3 10
 
3.3%
34 6
 
2.0%
11 6
 
2.0%
6 6
 
2.0%
39 5
 
1.7%
30 5
 
1.7%
1 5
 
1.7%
Other values (113) 196
64.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 15
5.0%
3 10
3.3%
4 14
4.6%
5 11
3.6%
6 6
 
2.0%
7 5
 
1.7%
8 3
 
1.0%
9 2
 
0.7%
10 4
 
1.3%
ValueCountFrequency (%)
10428 1
0.3%
3555 1
0.3%
1163 1
0.3%
738 1
0.3%
625 1
0.3%
551 1
0.3%
506 1
0.3%
495 1
0.3%
472 1
0.3%
444 1
0.3%

2017-11
Real number (ℝ)

MISSING 

Distinct142
Distinct (%)50.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean140.45161
Minimum0
Maximum12307
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:34.020774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median43
Q388.5
95-th percentile399.3
Maximum12307
Range12307
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation776.54617
Coefficient of variation (CV)5.5289232
Kurtosis220.08117
Mean140.45161
Median Absolute Deviation (MAD)35
Skewness14.304798
Sum39186
Variance603023.96
MonotonicityNot monotonic
2024-04-06T17:18:34.304087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
4.6%
4 13
 
4.3%
3 9
 
3.0%
2 9
 
3.0%
11 7
 
2.3%
7 6
 
2.0%
8 5
 
1.7%
9 5
 
1.7%
32 4
 
1.3%
22 4
 
1.3%
Other values (132) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 9
3.0%
3 9
3.0%
4 13
4.3%
5 14
4.6%
6 3
 
1.0%
7 6
2.0%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
12307 1
0.3%
3686 1
0.3%
1453 1
0.3%
981 1
0.3%
777 1
0.3%
661 1
0.3%
614 1
0.3%
553 1
0.3%
508 1
0.3%
478 1
0.3%

2017-12
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean139.87097
Minimum1
Maximum12299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:34.582821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19.5
median42
Q386
95-th percentile363.6
Maximum12299
Range12298
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation777.90173
Coefficient of variation (CV)5.5615668
Kurtosis217.99118
Mean139.87097
Median Absolute Deviation (MAD)36
Skewness14.217847
Sum39024
Variance605131.11
MonotonicityNot monotonic
2024-04-06T17:18:34.839915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
5.3%
2 13
 
4.3%
4 10
 
3.3%
3 8
 
2.6%
5 8
 
2.6%
111 4
 
1.3%
58 4
 
1.3%
13 4
 
1.3%
8 4
 
1.3%
10 4
 
1.3%
Other values (120) 204
67.5%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 13
4.3%
3 8
2.6%
4 10
3.3%
5 8
2.6%
6 16
5.3%
7 3
 
1.0%
8 4
 
1.3%
9 4
 
1.3%
10 4
 
1.3%
ValueCountFrequency (%)
12299 1
0.3%
3638 1
0.3%
1977 1
0.3%
785 1
0.3%
716 1
0.3%
610 1
0.3%
594 1
0.3%
541 1
0.3%
497 1
0.3%
473 1
0.3%

2018-01
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)48.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean150.98208
Minimum0
Maximum13298
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:35.124243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median39
Q395.5
95-th percentile418.8
Maximum13298
Range13298
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation837.55567
Coefficient of variation (CV)5.5473847
Kurtosis221.3969
Mean150.98208
Median Absolute Deviation (MAD)34
Skewness14.335488
Sum42124
Variance701499.5
MonotonicityNot monotonic
2024-04-06T17:18:35.472489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
6.0%
5 10
 
3.3%
2 9
 
3.0%
3 9
 
3.0%
18 6
 
2.0%
7 6
 
2.0%
8 6
 
2.0%
6 6
 
2.0%
23 5
 
1.7%
22 5
 
1.7%
Other values (124) 199
65.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 9
3.0%
3 9
3.0%
4 18
6.0%
5 10
3.3%
6 6
 
2.0%
7 6
 
2.0%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
13298 1
0.3%
3705 1
0.3%
2002 1
0.3%
951 1
0.3%
823 1
0.3%
716 1
0.3%
691 1
0.3%
615 1
0.3%
545 1
0.3%
507 1
0.3%

2018-02
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)44.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean127.98208
Minimum1
Maximum11191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:35.814681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median35
Q377
95-th percentile376.1
Maximum11191
Range11190
Interquartile range (IQR)69

Descriptive statistics

Standard deviation710.72112
Coefficient of variation (CV)5.5532862
Kurtosis214.71668
Mean127.98208
Median Absolute Deviation (MAD)30
Skewness14.098842
Sum35707
Variance505124.51
MonotonicityNot monotonic
2024-04-06T17:18:36.113149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
4 14
 
4.6%
3 11
 
3.6%
5 9
 
3.0%
6 8
 
2.6%
1 7
 
2.3%
8 6
 
2.0%
83 6
 
2.0%
19 6
 
2.0%
35 5
 
1.7%
Other values (113) 191
63.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 7
2.3%
2 16
5.3%
3 11
3.6%
4 14
4.6%
5 9
3.0%
6 8
2.6%
7 2
 
0.7%
8 6
 
2.0%
9 3
 
1.0%
10 1
 
0.3%
ValueCountFrequency (%)
11191 1
0.3%
3494 1
0.3%
1787 1
0.3%
650 1
0.3%
566 1
0.3%
526 1
0.3%
471 1
0.3%
467 1
0.3%
463 1
0.3%
421 1
0.3%

2018-03
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)48.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean160.92115
Minimum0
Maximum14117
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:36.409782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median44
Q3108
95-th percentile426.4
Maximum14117
Range14117
Interquartile range (IQR)97

Descriptive statistics

Standard deviation896.8606
Coefficient of variation (CV)5.5732924
Kurtosis214.35481
Mean160.92115
Median Absolute Deviation (MAD)37
Skewness14.081521
Sum44897
Variance804358.94
MonotonicityNot monotonic
2024-04-06T17:18:36.802363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 10
 
3.3%
6 9
 
3.0%
7 8
 
2.6%
3 8
 
2.6%
5 7
 
2.3%
4 6
 
2.0%
42 6
 
2.0%
11 6
 
2.0%
119 5
 
1.7%
62 5
 
1.7%
Other values (126) 209
69.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 10
3.3%
3 8
2.6%
4 6
2.0%
5 7
2.3%
6 9
3.0%
7 8
2.6%
8 5
1.7%
9 5
1.7%
ValueCountFrequency (%)
14117 1
0.3%
4308 1
0.3%
2555 1
0.3%
833 1
0.3%
627 1
0.3%
608 1
0.3%
595 1
0.3%
582 1
0.3%
572 1
0.3%
552 1
0.3%

2018-04
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)41.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean123.10394
Minimum0
Maximum10786
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:37.189740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median40
Q373
95-th percentile361
Maximum10786
Range10786
Interquartile range (IQR)62

Descriptive statistics

Standard deviation682.26887
Coefficient of variation (CV)5.5422179
Kurtosis218.05121
Mean123.10394
Median Absolute Deviation (MAD)31
Skewness14.229139
Sum34346
Variance465490.81
MonotonicityNot monotonic
2024-04-06T17:18:37.621794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
5.0%
3 14
 
4.6%
2 12
 
4.0%
22 8
 
2.6%
6 8
 
2.6%
4 7
 
2.3%
31 6
 
2.0%
8 6
 
2.0%
42 5
 
1.7%
11 5
 
1.7%
Other values (106) 193
63.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
2 12
4.0%
3 14
4.6%
4 7
2.3%
5 15
5.0%
6 8
2.6%
7 3
 
1.0%
8 6
 
2.0%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
10786 1
0.3%
3310 1
0.3%
1393 1
0.3%
726 1
0.3%
598 1
0.3%
544 1
0.3%
526 1
0.3%
510 1
0.3%
491 1
0.3%
437 1
0.3%

2018-05
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)46.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean124.64875
Minimum1
Maximum10991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:37.929325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median36
Q374.5
95-th percentile347.4
Maximum10991
Range10990
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation695.12504
Coefficient of variation (CV)5.576671
Kurtosis218.06366
Mean124.64875
Median Absolute Deviation (MAD)29
Skewness14.215755
Sum34777
Variance483198.82
MonotonicityNot monotonic
2024-04-06T17:18:38.278493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
5 13
 
4.3%
2 11
 
3.6%
6 8
 
2.6%
12 7
 
2.3%
7 7
 
2.3%
9 7
 
2.3%
3 6
 
2.0%
38 5
 
1.7%
54 4
 
1.3%
Other values (119) 197
65.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 6
2.0%
4 14
4.6%
5 13
4.3%
6 8
2.6%
7 7
2.3%
8 3
 
1.0%
9 7
2.3%
10 4
 
1.3%
ValueCountFrequency (%)
10991 1
0.3%
3261 1
0.3%
1608 1
0.3%
847 1
0.3%
660 1
0.3%
634 1
0.3%
495 1
0.3%
484 1
0.3%
441 1
0.3%
439 1
0.3%

2018-06
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)43.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean123.68459
Minimum1
Maximum10926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:38.545300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median33
Q377.5
95-th percentile389
Maximum10926
Range10925
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation689.91266
Coefficient of variation (CV)5.5780002
Kurtosis219.60169
Mean123.68459
Median Absolute Deviation (MAD)28
Skewness14.288503
Sum34508
Variance475979.48
MonotonicityNot monotonic
2024-04-06T17:18:38.867243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
5 13
 
4.3%
4 10
 
3.3%
2 10
 
3.3%
36 7
 
2.3%
1 7
 
2.3%
11 7
 
2.3%
6 5
 
1.7%
8 5
 
1.7%
43 5
 
1.7%
Other values (112) 196
64.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 7
2.3%
2 10
3.3%
3 14
4.6%
4 10
3.3%
5 13
4.3%
6 5
 
1.7%
7 5
 
1.7%
8 5
 
1.7%
9 3
 
1.0%
10 5
 
1.7%
ValueCountFrequency (%)
10926 1
0.3%
3320 1
0.3%
1208 1
0.3%
668 1
0.3%
664 1
0.3%
651 1
0.3%
506 1
0.3%
500 1
0.3%
491 1
0.3%
479 2
0.7%

2018-07
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)47.5%
Missing22
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean126.54643
Minimum0
Maximum11144
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:39.157587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median34.5
Q376.25
95-th percentile344.6
Maximum11144
Range11144
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation711.65896
Coefficient of variation (CV)5.6236985
Kurtosis210.10123
Mean126.54643
Median Absolute Deviation (MAD)29.5
Skewness13.941822
Sum35433
Variance506458.48
MonotonicityNot monotonic
2024-04-06T17:18:39.589785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 15
 
5.0%
4 12
 
4.0%
5 11
 
3.6%
3 10
 
3.3%
6 8
 
2.6%
10 7
 
2.3%
12 7
 
2.3%
19 6
 
2.0%
9 5
 
1.7%
8 5
 
1.7%
Other values (123) 194
64.2%
(Missing) 22
 
7.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 15
5.0%
3 10
3.3%
4 12
4.0%
5 11
3.6%
6 8
2.6%
7 3
 
1.0%
8 5
 
1.7%
9 5
 
1.7%
ValueCountFrequency (%)
11144 1
0.3%
3833 1
0.3%
1617 1
0.3%
657 1
0.3%
613 1
0.3%
588 1
0.3%
489 1
0.3%
470 1
0.3%
464 1
0.3%
453 1
0.3%

2018-08
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean118.97849
Minimum0
Maximum10457
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:39.892020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median38
Q378
95-th percentile306.3
Maximum10457
Range10457
Interquartile range (IQR)70

Descriptive statistics

Standard deviation669.8723
Coefficient of variation (CV)5.6301965
Kurtosis208.4996
Mean118.97849
Median Absolute Deviation (MAD)31
Skewness13.900363
Sum33195
Variance448728.9
MonotonicityNot monotonic
2024-04-06T17:18:40.235714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 21
 
7.0%
3 14
 
4.6%
6 9
 
3.0%
5 8
 
2.6%
2 6
 
2.0%
11 6
 
2.0%
18 6
 
2.0%
7 5
 
1.7%
8 5
 
1.7%
10 5
 
1.7%
Other values (120) 194
64.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 6
 
2.0%
3 14
4.6%
4 21
7.0%
5 8
 
2.6%
6 9
3.0%
7 5
 
1.7%
8 5
 
1.7%
9 2
 
0.7%
ValueCountFrequency (%)
10457 1
0.3%
3686 1
0.3%
1530 1
0.3%
574 1
0.3%
508 1
0.3%
447 1
0.3%
439 1
0.3%
423 1
0.3%
417 1
0.3%
414 1
0.3%

2018-09
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)45.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean126.89606
Minimum1
Maximum11039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:41.025943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median34
Q384.5
95-th percentile306.2
Maximum11039
Range11038
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation711.07626
Coefficient of variation (CV)5.603612
Kurtosis203.98857
Mean126.89606
Median Absolute Deviation (MAD)30
Skewness13.712507
Sum35404
Variance505629.45
MonotonicityNot monotonic
2024-04-06T17:18:41.335769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17
 
5.6%
4 13
 
4.3%
3 13
 
4.3%
5 10
 
3.3%
1 8
 
2.6%
17 8
 
2.6%
10 7
 
2.3%
6 6
 
2.0%
16 6
 
2.0%
23 5
 
1.7%
Other values (116) 186
61.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 8
2.6%
2 17
5.6%
3 13
4.3%
4 13
4.3%
5 10
3.3%
6 6
 
2.0%
7 4
 
1.3%
8 3
 
1.0%
9 4
 
1.3%
10 7
2.3%
ValueCountFrequency (%)
11039 1
0.3%
3932 1
0.3%
1954 1
0.3%
631 1
0.3%
552 1
0.3%
542 1
0.3%
540 1
0.3%
460 1
0.3%
407 1
0.3%
373 1
0.3%

2018-10
Real number (ℝ)

MISSING 

Distinct139
Distinct (%)49.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean148.62724
Minimum0
Maximum12825
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:41.709802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110.5
median41
Q396
95-th percentile388.2
Maximum12825
Range12825
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation824.83469
Coefficient of variation (CV)5.5496872
Kurtosis205.18546
Mean148.62724
Median Absolute Deviation (MAD)34
Skewness13.761568
Sum41467
Variance680352.26
MonotonicityNot monotonic
2024-04-06T17:18:42.024850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
4.6%
3 11
 
3.6%
4 10
 
3.3%
8 8
 
2.6%
6 8
 
2.6%
29 6
 
2.0%
12 6
 
2.0%
2 6
 
2.0%
18 6
 
2.0%
21 5
 
1.7%
Other values (129) 199
65.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 6
2.0%
3 11
3.6%
4 10
3.3%
5 14
4.6%
6 8
2.6%
7 5
 
1.7%
8 8
2.6%
9 2
 
0.7%
ValueCountFrequency (%)
12825 1
0.3%
4582 1
0.3%
2061 1
0.3%
696 1
0.3%
686 1
0.3%
623 1
0.3%
606 1
0.3%
503 1
0.3%
501 1
0.3%
497 1
0.3%

2018-11
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.49821
Minimum1
Maximum10431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:42.306877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median33
Q381
95-th percentile371.5
Maximum10431
Range10430
Interquartile range (IQR)71

Descriptive statistics

Standard deviation660.53426
Coefficient of variation (CV)5.4816936
Kurtosis217.05962
Mean120.49821
Median Absolute Deviation (MAD)27
Skewness14.188872
Sum33619
Variance436305.51
MonotonicityNot monotonic
2024-04-06T17:18:42.596322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
4 12
 
4.0%
2 10
 
3.3%
5 9
 
3.0%
6 8
 
2.6%
11 7
 
2.3%
33 6
 
2.0%
12 6
 
2.0%
42 6
 
2.0%
8 6
 
2.0%
Other values (110) 194
64.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 10
3.3%
3 15
5.0%
4 12
4.0%
5 9
3.0%
6 8
2.6%
7 2
 
0.7%
8 6
 
2.0%
9 4
 
1.3%
10 5
 
1.7%
ValueCountFrequency (%)
10431 1
0.3%
3249 1
0.3%
1235 1
0.3%
666 1
0.3%
658 1
0.3%
618 1
0.3%
514 1
0.3%
490 1
0.3%
481 1
0.3%
452 1
0.3%

2018-12
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean105.29749
Minimum1
Maximum9201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:42.854541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median30
Q368
95-th percentile332.9
Maximum9201
Range9200
Interquartile range (IQR)59

Descriptive statistics

Standard deviation576.49514
Coefficient of variation (CV)5.4749181
Kurtosis225.80194
Mean105.29749
Median Absolute Deviation (MAD)25
Skewness14.503531
Sum29378
Variance332346.64
MonotonicityNot monotonic
2024-04-06T17:18:43.125608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
5.6%
3 12
 
4.0%
2 11
 
3.6%
5 10
 
3.3%
9 8
 
2.6%
6 8
 
2.6%
24 7
 
2.3%
11 6
 
2.0%
40 5
 
1.7%
12 5
 
1.7%
Other values (110) 190
62.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 12
4.0%
4 17
5.6%
5 10
3.3%
6 8
2.6%
7 3
 
1.0%
8 4
 
1.3%
9 8
2.6%
10 4
 
1.3%
ValueCountFrequency (%)
9201 1
0.3%
2467 1
0.3%
978 1
0.3%
722 1
0.3%
686 1
0.3%
563 1
0.3%
513 1
0.3%
453 1
0.3%
377 1
0.3%
366 1
0.3%

2019-01
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)41.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean104.77778
Minimum1
Maximum9279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:43.372352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median26
Q364
95-th percentile301.4
Maximum9279
Range9278
Interquartile range (IQR)56

Descriptive statistics

Standard deviation585.46275
Coefficient of variation (CV)5.5876614
Kurtosis220.19021
Mean104.77778
Median Absolute Deviation (MAD)22
Skewness14.30381
Sum29233
Variance342766.63
MonotonicityNot monotonic
2024-04-06T17:18:43.704043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
5 13
 
4.3%
3 11
 
3.6%
1 9
 
3.0%
6 8
 
2.6%
2 8
 
2.6%
11 7
 
2.3%
8 6
 
2.0%
21 6
 
2.0%
17 6
 
2.0%
Other values (105) 191
63.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 9
3.0%
2 8
2.6%
3 11
3.6%
4 14
4.6%
5 13
4.3%
6 8
2.6%
7 3
 
1.0%
8 6
2.0%
9 5
 
1.7%
10 2
 
0.7%
ValueCountFrequency (%)
9279 1
0.3%
2769 1
0.3%
953 1
0.3%
671 1
0.3%
654 1
0.3%
565 1
0.3%
522 1
0.3%
486 1
0.3%
447 1
0.3%
379 1
0.3%

2019-02
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)38.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean90.268817
Minimum0
Maximum7860
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:44.091267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median23
Q349
95-th percentile263.1
Maximum7860
Range7860
Interquartile range (IQR)42

Descriptive statistics

Standard deviation497.73212
Coefficient of variation (CV)5.5138877
Kurtosis217.00449
Mean90.268817
Median Absolute Deviation (MAD)18
Skewness14.173997
Sum25185
Variance247737.26
MonotonicityNot monotonic
2024-04-06T17:18:44.398019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
6.0%
2 15
 
5.0%
4 11
 
3.6%
15 8
 
2.6%
5 8
 
2.6%
6 8
 
2.6%
7 7
 
2.3%
34 6
 
2.0%
19 6
 
2.0%
13 6
 
2.0%
Other values (97) 186
61.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 15
5.0%
3 18
6.0%
4 11
3.6%
5 8
2.6%
6 8
2.6%
7 7
 
2.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7860 1
0.3%
2416 1
0.3%
780 1
0.3%
646 1
0.3%
527 1
0.3%
511 1
0.3%
441 1
0.3%
438 1
0.3%
399 1
0.3%
379 1
0.3%

2019-03
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)41.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean106.60932
Minimum1
Maximum9385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:44.709152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19.5
median27
Q358
95-th percentile283.4
Maximum9385
Range9384
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation594.08493
Coefficient of variation (CV)5.5725422
Kurtosis217.44256
Mean106.60932
Median Absolute Deviation (MAD)21
Skewness14.196365
Sum29744
Variance352936.9
MonotonicityNot monotonic
2024-04-06T17:18:45.015316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
4 12
 
4.0%
5 10
 
3.3%
2 10
 
3.3%
12 9
 
3.0%
7 8
 
2.6%
17 7
 
2.3%
26 6
 
2.0%
20 6
 
2.0%
6 6
 
2.0%
Other values (107) 190
62.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 10
3.3%
3 15
5.0%
4 12
4.0%
5 10
3.3%
6 6
 
2.0%
7 8
2.6%
8 5
 
1.7%
9 1
 
0.3%
10 5
 
1.7%
ValueCountFrequency (%)
9385 1
0.3%
2885 1
0.3%
905 1
0.3%
840 1
0.3%
648 1
0.3%
642 1
0.3%
549 1
0.3%
499 1
0.3%
432 1
0.3%
428 1
0.3%

2019-04
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)40.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean107.84588
Minimum0
Maximum9533
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:45.290244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median29
Q363.5
95-th percentile316.3
Maximum9533
Range9533
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation600.42014
Coefficient of variation (CV)5.5673907
Kurtosis221.6427
Mean107.84588
Median Absolute Deviation (MAD)23
Skewness14.358119
Sum30089
Variance360504.35
MonotonicityNot monotonic
2024-04-06T17:18:45.569327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
5.3%
4 12
 
4.0%
7 10
 
3.3%
5 10
 
3.3%
9 9
 
3.0%
6 9
 
3.0%
33 7
 
2.3%
3 7
 
2.3%
17 6
 
2.0%
30 6
 
2.0%
Other values (103) 187
61.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
2 16
5.3%
3 7
2.3%
4 12
4.0%
5 10
3.3%
6 9
3.0%
7 10
3.3%
9 9
3.0%
10 6
 
2.0%
11 3
 
1.0%
ValueCountFrequency (%)
9533 1
0.3%
2792 1
0.3%
962 1
0.3%
637 1
0.3%
579 1
0.3%
578 1
0.3%
563 1
0.3%
520 1
0.3%
516 1
0.3%
404 1
0.3%

2019-05
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)41.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean101.03226
Minimum0
Maximum8853
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:45.948854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median29
Q363
95-th percentile280.5
Maximum8853
Range8853
Interquartile range (IQR)55

Descriptive statistics

Standard deviation558.22831
Coefficient of variation (CV)5.5252483
Kurtosis220.62297
Mean101.03226
Median Absolute Deviation (MAD)23
Skewness14.321225
Sum28188
Variance311618.84
MonotonicityNot monotonic
2024-04-06T17:18:46.377399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 19
 
6.3%
3 13
 
4.3%
2 10
 
3.3%
11 9
 
3.0%
7 8
 
2.6%
4 8
 
2.6%
6 7
 
2.3%
9 7
 
2.3%
23 6
 
2.0%
63 5
 
1.7%
Other values (107) 187
61.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 10
3.3%
3 13
4.3%
4 8
2.6%
5 19
6.3%
6 7
 
2.3%
7 8
2.6%
8 3
 
1.0%
9 7
 
2.3%
ValueCountFrequency (%)
8853 1
0.3%
2630 1
0.3%
983 1
0.3%
538 1
0.3%
523 1
0.3%
509 1
0.3%
496 1
0.3%
490 1
0.3%
426 1
0.3%
396 1
0.3%

2019-06
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)38.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean95.555556
Minimum1
Maximum8448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:46.646599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.5
median28
Q355.5
95-th percentile246.3
Maximum8448
Range8447
Interquartile range (IQR)48

Descriptive statistics

Standard deviation534.44219
Coefficient of variation (CV)5.5929997
Kurtosis217.91678
Mean95.555556
Median Absolute Deviation (MAD)23
Skewness14.215001
Sum26660
Variance285628.46
MonotonicityNot monotonic
2024-04-06T17:18:46.899644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
5.3%
3 15
 
5.0%
2 13
 
4.3%
4 10
 
3.3%
29 8
 
2.6%
1 8
 
2.6%
8 7
 
2.3%
9 7
 
2.3%
11 7
 
2.3%
6 6
 
2.0%
Other values (97) 182
60.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 8
2.6%
2 13
4.3%
3 15
5.0%
4 10
3.3%
5 16
5.3%
6 6
 
2.0%
7 2
 
0.7%
8 7
2.3%
9 7
2.3%
10 4
 
1.3%
ValueCountFrequency (%)
8448 1
0.3%
2539 1
0.3%
1188 1
0.3%
658 1
0.3%
511 1
0.3%
510 1
0.3%
443 1
0.3%
354 1
0.3%
319 1
0.3%
298 1
0.3%

2019-07
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.97849
Minimum1
Maximum10584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:47.153416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median32
Q375.5
95-th percentile310
Maximum10584
Range10583
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation669.72575
Coefficient of variation (CV)5.5359074
Kurtosis217.60824
Mean120.97849
Median Absolute Deviation (MAD)26
Skewness14.200597
Sum33753
Variance448532.58
MonotonicityNot monotonic
2024-04-06T17:18:47.510573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
2 12
 
4.0%
5 11
 
3.6%
13 10
 
3.3%
6 10
 
3.3%
7 8
 
2.6%
8 7
 
2.3%
4 7
 
2.3%
41 5
 
1.7%
1 5
 
1.7%
Other values (118) 191
63.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 12
4.0%
3 13
4.3%
4 7
2.3%
5 11
3.6%
6 10
3.3%
7 8
2.6%
8 7
2.3%
9 3
 
1.0%
10 4
 
1.3%
ValueCountFrequency (%)
10584 1
0.3%
3180 1
0.3%
1529 1
0.3%
729 1
0.3%
673 1
0.3%
652 1
0.3%
510 1
0.3%
449 1
0.3%
385 1
0.3%
345 1
0.3%

2019-08
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean120.05735
Minimum1
Maximum10520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:47.830224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.5
median29
Q377.5
95-th percentile303.4
Maximum10520
Range10519
Interquartile range (IQR)70

Descriptive statistics

Standard deviation667.12906
Coefficient of variation (CV)5.5567533
Kurtosis215.88878
Mean120.05735
Median Absolute Deviation (MAD)24
Skewness14.137752
Sum33496
Variance445061.18
MonotonicityNot monotonic
2024-04-06T17:18:48.136992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
5 13
 
4.3%
2 11
 
3.6%
6 11
 
3.6%
7 9
 
3.0%
4 8
 
2.6%
8 7
 
2.3%
9 6
 
2.0%
12 6
 
2.0%
33 5
 
1.7%
Other values (110) 189
62.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 11
3.6%
3 14
4.6%
4 8
2.6%
5 13
4.3%
6 11
3.6%
7 9
3.0%
8 7
2.3%
9 6
2.0%
10 3
 
1.0%
ValueCountFrequency (%)
10520 1
0.3%
3243 1
0.3%
1530 1
0.3%
715 1
0.3%
688 1
0.3%
534 1
0.3%
520 1
0.3%
450 1
0.3%
447 1
0.3%
395 1
0.3%

2019-09
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)43.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean114.34409
Minimum0
Maximum10052
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:48.453066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median31
Q369.5
95-th percentile298.2
Maximum10052
Range10052
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation634.33166
Coefficient of variation (CV)5.5475686
Kurtosis219.82811
Mean114.34409
Median Absolute Deviation (MAD)26
Skewness14.277338
Sum31902
Variance402376.65
MonotonicityNot monotonic
2024-04-06T17:18:48.844154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 17
 
5.6%
5 11
 
3.6%
4 10
 
3.3%
8 8
 
2.6%
11 8
 
2.6%
44 6
 
2.0%
14 6
 
2.0%
16 5
 
1.7%
7 5
 
1.7%
Other values (112) 184
60.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 17
5.6%
3 19
6.3%
4 10
3.3%
5 11
3.6%
6 5
 
1.7%
7 5
 
1.7%
8 8
2.6%
9 4
 
1.3%
ValueCountFrequency (%)
10052 1
0.3%
2912 1
0.3%
1295 1
0.3%
882 1
0.3%
732 1
0.3%
698 1
0.3%
418 1
0.3%
389 1
0.3%
385 1
0.3%
378 1
0.3%

2019-10
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean130.69176
Minimum0
Maximum11476
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:49.090731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median36
Q382
95-th percentile314.3
Maximum11476
Range11476
Interquartile range (IQR)73

Descriptive statistics

Standard deviation731.56921
Coefficient of variation (CV)5.5976691
Kurtosis212.08466
Mean130.69176
Median Absolute Deviation (MAD)30
Skewness14.020534
Sum36463
Variance535193.5
MonotonicityNot monotonic
2024-04-06T17:18:49.393231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
5 12
 
4.0%
4 11
 
3.6%
6 9
 
3.0%
2 8
 
2.6%
15 7
 
2.3%
7 7
 
2.3%
35 6
 
2.0%
11 6
 
2.0%
9 6
 
2.0%
Other values (118) 191
63.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 8
2.6%
3 16
5.3%
4 11
3.6%
5 12
4.0%
6 9
3.0%
7 7
2.3%
8 4
 
1.3%
9 6
 
2.0%
ValueCountFrequency (%)
11476 1
0.3%
3850 1
0.3%
1553 1
0.3%
705 1
0.3%
637 1
0.3%
617 1
0.3%
601 1
0.3%
562 1
0.3%
472 1
0.3%
436 1
0.3%

2019-11
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)50.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean142.49104
Minimum0
Maximum12433
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:50.223181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median41
Q396
95-th percentile351.9
Maximum12433
Range12433
Interquartile range (IQR)88

Descriptive statistics

Standard deviation787.88602
Coefficient of variation (CV)5.5293724
Kurtosis216.41898
Mean142.49104
Median Absolute Deviation (MAD)35
Skewness14.158351
Sum39755
Variance620764.37
MonotonicityNot monotonic
2024-04-06T17:18:50.525373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 13
 
4.3%
3 13
 
4.3%
4 13
 
4.3%
5 9
 
3.0%
7 7
 
2.3%
8 7
 
2.3%
9 6
 
2.0%
6 6
 
2.0%
75 5
 
1.7%
16 5
 
1.7%
Other values (130) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 13
4.3%
3 13
4.3%
4 13
4.3%
5 9
3.0%
6 6
2.0%
7 7
2.3%
8 7
2.3%
9 6
2.0%
ValueCountFrequency (%)
12433 1
0.3%
3814 1
0.3%
1708 1
0.3%
1121 1
0.3%
858 1
0.3%
637 1
0.3%
591 1
0.3%
540 1
0.3%
437 1
0.3%
434 1
0.3%

2019-12
Real number (ℝ)

MISSING 

Distinct141
Distinct (%)50.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean172.04301
Minimum1
Maximum14935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:50.821661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median49
Q3111.5
95-th percentile428.2
Maximum14935
Range14934
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation937.38721
Coefficient of variation (CV)5.4485631
Kurtosis224.07568
Mean172.04301
Median Absolute Deviation (MAD)42
Skewness14.424512
Sum48000
Variance878694.78
MonotonicityNot monotonic
2024-04-06T17:18:51.169119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 11
 
3.6%
5 9
 
3.0%
4 9
 
3.0%
7 9
 
3.0%
10 8
 
2.6%
2 8
 
2.6%
6 6
 
2.0%
36 6
 
2.0%
74 5
 
1.7%
13 5
 
1.7%
Other values (131) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 8
2.6%
3 11
3.6%
4 9
3.0%
5 9
3.0%
6 6
2.0%
7 9
3.0%
8 4
 
1.3%
9 4
 
1.3%
10 8
2.6%
ValueCountFrequency (%)
14935 1
0.3%
3870 1
0.3%
2149 1
0.3%
1544 1
0.3%
1013 1
0.3%
795 1
0.3%
738 1
0.3%
684 1
0.3%
607 1
0.3%
585 1
0.3%

2020-01
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)48.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean152.60573
Minimum0
Maximum13319
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:51.456346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q19
median45
Q398
95-th percentile376.3
Maximum13319
Range13319
Interquartile range (IQR)89

Descriptive statistics

Standard deviation841.14326
Coefficient of variation (CV)5.5118719
Kurtosis218.80221
Mean152.60573
Median Absolute Deviation (MAD)39
Skewness14.209921
Sum42577
Variance707521.98
MonotonicityNot monotonic
2024-04-06T17:18:51.740711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
4 13
 
4.3%
6 11
 
3.6%
2 9
 
3.0%
5 8
 
2.6%
9 5
 
1.7%
16 5
 
1.7%
43 5
 
1.7%
22 5
 
1.7%
7 4
 
1.3%
Other values (125) 198
65.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 9
3.0%
3 16
5.3%
4 13
4.3%
5 8
2.6%
6 11
3.6%
7 4
 
1.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
13319 1
0.3%
3626 1
0.3%
1830 1
0.3%
1696 1
0.3%
1019 1
0.3%
971 1
0.3%
792 1
0.3%
726 1
0.3%
441 1
0.3%
418 1
0.3%

2020-02
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)50.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean168.69534
Minimum0
Maximum14608
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:51.986083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19.5
median49
Q3108
95-th percentile436.9
Maximum14608
Range14608
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation931.56692
Coefficient of variation (CV)5.5221852
Kurtosis211.5722
Mean168.69534
Median Absolute Deviation (MAD)43
Skewness13.988937
Sum47066
Variance867816.92
MonotonicityNot monotonic
2024-04-06T17:18:52.219814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
4.3%
4 12
 
4.0%
3 9
 
3.0%
6 8
 
2.6%
9 8
 
2.6%
2 7
 
2.3%
7 7
 
2.3%
17 5
 
1.7%
52 5
 
1.7%
13 5
 
1.7%
Other values (130) 200
66.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 7
2.3%
3 9
3.0%
4 12
4.0%
5 13
4.3%
6 8
2.6%
7 7
2.3%
8 1
 
0.3%
9 8
2.6%
ValueCountFrequency (%)
14608 1
0.3%
4879 1
0.3%
1802 1
0.3%
1215 1
0.3%
870 1
0.3%
848 1
0.3%
822 1
0.3%
780 1
0.3%
614 1
0.3%
483 1
0.3%

2020-03
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)46.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean142.74194
Minimum1
Maximum12494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:52.464372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median41
Q388
95-th percentile358.8
Maximum12494
Range12493
Interquartile range (IQR)79

Descriptive statistics

Standard deviation797.29931
Coefficient of variation (CV)5.5855997
Kurtosis210.96547
Mean142.74194
Median Absolute Deviation (MAD)34
Skewness13.957018
Sum39825
Variance635686.19
MonotonicityNot monotonic
2024-04-06T17:18:52.745569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
4.6%
2 11
 
3.6%
3 11
 
3.6%
9 9
 
3.0%
6 9
 
3.0%
4 8
 
2.6%
15 6
 
2.0%
7 6
 
2.0%
21 5
 
1.7%
50 5
 
1.7%
Other values (120) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 11
3.6%
3 11
3.6%
4 8
2.6%
5 14
4.6%
6 9
3.0%
7 6
2.0%
8 3
 
1.0%
9 9
3.0%
10 2
 
0.7%
ValueCountFrequency (%)
12494 1
0.3%
4101 1
0.3%
1701 1
0.3%
1419 1
0.3%
854 1
0.3%
526 1
0.3%
524 1
0.3%
516 1
0.3%
475 1
0.3%
385 1
0.3%

2020-04
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)41.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean101.55197
Minimum0
Maximum8901
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:53.099578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median31
Q366
95-th percentile256.7
Maximum8901
Range8901
Interquartile range (IQR)56

Descriptive statistics

Standard deviation561.81007
Coefficient of variation (CV)5.5322419
Kurtosis219.80232
Mean101.55197
Median Absolute Deviation (MAD)24
Skewness14.292615
Sum28333
Variance315630.55
MonotonicityNot monotonic
2024-04-06T17:18:53.463904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
5.0%
4 12
 
4.0%
2 11
 
3.6%
3 9
 
3.0%
11 7
 
2.3%
15 6
 
2.0%
13 6
 
2.0%
9 6
 
2.0%
20 6
 
2.0%
46 5
 
1.7%
Other values (105) 196
64.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 11
3.6%
3 9
3.0%
4 12
4.0%
5 15
5.0%
6 5
 
1.7%
7 5
 
1.7%
8 3
 
1.0%
9 6
 
2.0%
ValueCountFrequency (%)
8901 1
0.3%
2663 1
0.3%
1073 1
0.3%
679 1
0.3%
662 1
0.3%
443 1
0.3%
432 1
0.3%
406 1
0.3%
404 1
0.3%
380 1
0.3%

2020-05
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean119.85663
Minimum1
Maximum10480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:53.858003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median34
Q373.5
95-th percentile349.1
Maximum10480
Range10479
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation656.77862
Coefficient of variation (CV)5.479702
Kurtosis225.55075
Mean119.85663
Median Absolute Deviation (MAD)27
Skewness14.487053
Sum33440
Variance431358.16
MonotonicityNot monotonic
2024-04-06T17:18:54.246913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 12
 
4.0%
4 12
 
4.0%
3 10
 
3.3%
9 9
 
3.0%
6 8
 
2.6%
37 7
 
2.3%
2 7
 
2.3%
28 6
 
2.0%
17 5
 
1.7%
32 5
 
1.7%
Other values (114) 198
65.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 7
2.3%
3 10
3.3%
4 12
4.0%
5 12
4.0%
6 8
2.6%
7 5
1.7%
8 3
 
1.0%
9 9
3.0%
10 3
 
1.0%
ValueCountFrequency (%)
10480 1
0.3%
2769 1
0.3%
1202 1
0.3%
853 1
0.3%
679 1
0.3%
642 1
0.3%
591 1
0.3%
581 1
0.3%
515 1
0.3%
506 1
0.3%

2020-06
Real number (ℝ)

MISSING 

Distinct157
Distinct (%)56.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean183.49462
Minimum1
Maximum16024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:54.582345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q112
median55
Q3112
95-th percentile454.6
Maximum16024
Range16023
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1013.7332
Coefficient of variation (CV)5.5245934
Kurtosis217.91149
Mean183.49462
Median Absolute Deviation (MAD)47
Skewness14.222051
Sum51195
Variance1027655
MonotonicityNot monotonic
2024-04-06T17:18:55.028165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
3 10
 
3.3%
8 9
 
3.0%
2 8
 
2.6%
6 6
 
2.0%
36 6
 
2.0%
10 5
 
1.7%
7 5
 
1.7%
78 4
 
1.3%
12 4
 
1.3%
Other values (147) 209
69.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 8
2.6%
3 10
3.3%
4 13
4.3%
5 4
 
1.3%
6 6
2.0%
7 5
 
1.7%
8 9
3.0%
9 2
 
0.7%
10 5
 
1.7%
ValueCountFrequency (%)
16024 1
0.3%
4934 1
0.3%
1829 1
0.3%
1283 1
0.3%
1221 1
0.3%
909 1
0.3%
798 1
0.3%
731 1
0.3%
687 1
0.3%
628 1
0.3%

2020-07
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)54.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean198.78495
Minimum1
Maximum17445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:55.419030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113
median62
Q3125.5
95-th percentile492.8
Maximum17445
Range17444
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation1101.4693
Coefficient of variation (CV)5.5410097
Kurtosis219.3533
Mean198.78495
Median Absolute Deviation (MAD)52
Skewness14.264581
Sum55461
Variance1213234.7
MonotonicityNot monotonic
2024-04-06T17:18:55.945261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 11
 
3.6%
4 7
 
2.3%
3 7
 
2.3%
6 7
 
2.3%
7 6
 
2.0%
8 6
 
2.0%
9 6
 
2.0%
2 5
 
1.7%
10 5
 
1.7%
13 5
 
1.7%
Other values (141) 214
70.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 5
1.7%
3 7
2.3%
4 7
2.3%
5 11
3.6%
6 7
2.3%
7 6
2.0%
8 6
2.0%
9 6
2.0%
10 5
1.7%
ValueCountFrequency (%)
17445 1
0.3%
5038 1
0.3%
2708 1
0.3%
1325 1
0.3%
1155 1
0.3%
883 1
0.3%
856 1
0.3%
667 2
0.7%
646 1
0.3%
641 1
0.3%

2020-08
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean129.03943
Minimum1
Maximum11374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:56.316667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median39
Q382
95-th percentile267.2
Maximum11374
Range11373
Interquartile range (IQR)72

Descriptive statistics

Standard deviation714.67844
Coefficient of variation (CV)5.5384502
Kurtosis223.35252
Mean129.03943
Median Absolute Deviation (MAD)32
Skewness14.404943
Sum36002
Variance510765.27
MonotonicityNot monotonic
2024-04-06T17:18:56.652585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
4 13
 
4.3%
6 9
 
3.0%
5 8
 
2.6%
7 7
 
2.3%
10 6
 
2.0%
53 5
 
1.7%
17 5
 
1.7%
50 5
 
1.7%
2 5
 
1.7%
Other values (118) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 5
 
1.7%
3 13
4.3%
4 13
4.3%
5 8
2.6%
6 9
3.0%
7 7
2.3%
8 4
 
1.3%
9 5
 
1.7%
10 6
2.0%
ValueCountFrequency (%)
11374 1
0.3%
3048 1
0.3%
1638 1
0.3%
816 1
0.3%
812 1
0.3%
762 1
0.3%
747 1
0.3%
511 1
0.3%
508 1
0.3%
495 1
0.3%

2020-09
Real number (ℝ)

MISSING 

Distinct128
Distinct (%)45.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean128.27957
Minimum0
Maximum11333
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:56.928683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110.5
median36
Q377.5
95-th percentile303.8
Maximum11333
Range11333
Interquartile range (IQR)67

Descriptive statistics

Standard deviation711.91651
Coefficient of variation (CV)5.5497263
Kurtosis223.55033
Mean128.27957
Median Absolute Deviation (MAD)30
Skewness14.405911
Sum35790
Variance506825.12
MonotonicityNot monotonic
2024-04-06T17:18:57.270200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
4.0%
3 11
 
3.6%
6 11
 
3.6%
5 10
 
3.3%
4 10
 
3.3%
2 7
 
2.3%
16 6
 
2.0%
32 5
 
1.7%
11 5
 
1.7%
13 5
 
1.7%
Other values (118) 197
65.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 7
2.3%
3 11
3.6%
4 10
3.3%
5 10
3.3%
6 11
3.6%
7 12
4.0%
8 2
 
0.7%
9 2
 
0.7%
ValueCountFrequency (%)
11333 1
0.3%
3004 1
0.3%
1449 1
0.3%
1129 1
0.3%
879 1
0.3%
813 1
0.3%
623 1
0.3%
618 1
0.3%
443 1
0.3%
417 1
0.3%

2020-10
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)44.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean130.3871
Minimum0
Maximum11495
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:57.550885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median37
Q377
95-th percentile331.6
Maximum11495
Range11495
Interquartile range (IQR)67

Descriptive statistics

Standard deviation727.87805
Coefficient of variation (CV)5.5824393
Kurtosis217.20495
Mean130.3871
Median Absolute Deviation (MAD)29
Skewness14.190082
Sum36378
Variance529806.46
MonotonicityNot monotonic
2024-04-06T17:18:57.853657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
4.3%
4 13
 
4.3%
6 10
 
3.3%
5 10
 
3.3%
16 8
 
2.6%
60 7
 
2.3%
2 5
 
1.7%
10 5
 
1.7%
37 5
 
1.7%
8 5
 
1.7%
Other values (114) 198
65.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
2 5
 
1.7%
3 13
4.3%
4 13
4.3%
5 10
3.3%
6 10
3.3%
7 5
 
1.7%
8 5
 
1.7%
9 5
 
1.7%
10 5
 
1.7%
ValueCountFrequency (%)
11495 1
0.3%
3540 1
0.3%
1191 1
0.3%
1077 1
0.3%
1003 1
0.3%
625 1
0.3%
608 1
0.3%
545 1
0.3%
518 1
0.3%
455 1
0.3%

2020-11
Real number (ℝ)

MISSING 

Distinct144
Distinct (%)51.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean155.26165
Minimum1
Maximum13629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:58.127071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median40
Q3100.5
95-th percentile400.3
Maximum13629
Range13628
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation851.35023
Coefficient of variation (CV)5.483326
Kurtosis228.26076
Mean155.26165
Median Absolute Deviation (MAD)34
Skewness14.576191
Sum43318
Variance724797.22
MonotonicityNot monotonic
2024-04-06T17:18:58.472674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
4.6%
4 10
 
3.3%
2 10
 
3.3%
6 7
 
2.3%
7 7
 
2.3%
8 7
 
2.3%
10 6
 
2.0%
17 5
 
1.7%
39 5
 
1.7%
3 5
 
1.7%
Other values (134) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 10
3.3%
3 5
 
1.7%
4 10
3.3%
5 14
4.6%
6 7
2.3%
7 7
2.3%
8 7
2.3%
9 1
 
0.3%
10 6
2.0%
ValueCountFrequency (%)
13629 1
0.3%
3233 1
0.3%
1798 1
0.3%
1258 1
0.3%
1066 1
0.3%
920 1
0.3%
813 1
0.3%
679 1
0.3%
603 1
0.3%
583 1
0.3%

2020-12
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)54.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean195.33692
Minimum1
Maximum17114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:18:58.756208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113
median58
Q3131
95-th percentile461.3
Maximum17114
Range17113
Interquartile range (IQR)118

Descriptive statistics

Standard deviation1074.4895
Coefficient of variation (CV)5.5006987
Kurtosis224.12094
Mean195.33692
Median Absolute Deviation (MAD)49
Skewness14.444541
Sum54499
Variance1154527.8
MonotonicityNot monotonic
2024-04-06T17:18:59.740155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 10
 
3.3%
7 9
 
3.0%
3 9
 
3.0%
9 7
 
2.3%
8 7
 
2.3%
6 7
 
2.3%
147 5
 
1.7%
4 5
 
1.7%
12 5
 
1.7%
49 4
 
1.3%
Other values (141) 211
69.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 2
 
0.7%
3 9
3.0%
4 5
1.7%
5 10
3.3%
6 7
2.3%
7 9
3.0%
8 7
2.3%
9 7
2.3%
10 4
 
1.3%
ValueCountFrequency (%)
17114 1
0.3%
4751 1
0.3%
1690 1
0.3%
1420 1
0.3%
1327 1
0.3%
1198 1
0.3%
1042 1
0.3%
900 1
0.3%
795 1
0.3%
686 1
0.3%

2021-01
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)47.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean128.63082
Minimum0
Maximum11267
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:00.043451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q110
median40
Q380
95-th percentile335.9
Maximum11267
Range11267
Interquartile range (IQR)70

Descriptive statistics

Standard deviation711.65078
Coefficient of variation (CV)5.5325058
Kurtosis219.12618
Mean128.63082
Median Absolute Deviation (MAD)32
Skewness14.260913
Sum35888
Variance506446.83
MonotonicityNot monotonic
2024-04-06T17:19:00.322297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 11
 
3.6%
8 10
 
3.3%
2 10
 
3.3%
6 9
 
3.0%
4 9
 
3.0%
5 7
 
2.3%
58 5
 
1.7%
30 5
 
1.7%
42 5
 
1.7%
12 5
 
1.7%
Other values (122) 203
67.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 10
3.3%
3 11
3.6%
4 9
3.0%
5 7
2.3%
6 9
3.0%
7 4
 
1.3%
8 10
3.3%
9 5
1.7%
ValueCountFrequency (%)
11267 1
0.3%
3336 1
0.3%
1589 1
0.3%
768 1
0.3%
658 1
0.3%
631 1
0.3%
567 1
0.3%
521 1
0.3%
518 1
0.3%
468 1
0.3%

2021-02
Real number (ℝ)

MISSING 

Distinct120
Distinct (%)43.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean122.75269
Minimum0
Maximum10721
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:00.780242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median36
Q372
95-th percentile332.4
Maximum10721
Range10721
Interquartile range (IQR)61

Descriptive statistics

Standard deviation675.19868
Coefficient of variation (CV)5.5004798
Kurtosis221.48136
Mean122.75269
Median Absolute Deviation (MAD)29
Skewness14.343026
Sum34248
Variance455893.25
MonotonicityNot monotonic
2024-04-06T17:19:01.160316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
4.0%
4 10
 
3.3%
2 10
 
3.3%
5 9
 
3.0%
3 8
 
2.6%
11 7
 
2.3%
15 7
 
2.3%
32 6
 
2.0%
7 6
 
2.0%
52 5
 
1.7%
Other values (110) 199
65.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 10
3.3%
3 8
2.6%
4 10
3.3%
5 9
3.0%
6 12
4.0%
7 6
2.0%
8 4
 
1.3%
9 4
 
1.3%
ValueCountFrequency (%)
10721 1
0.3%
3083 1
0.3%
1204 1
0.3%
864 1
0.3%
696 1
0.3%
645 1
0.3%
575 1
0.3%
555 1
0.3%
541 1
0.3%
519 1
0.3%

2021-03
Real number (ℝ)

MISSING 

Distinct129
Distinct (%)46.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean124.96057
Minimum0
Maximum10994
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:01.456514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q113
median41
Q374.5
95-th percentile290.2
Maximum10994
Range10994
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation690.48349
Coefficient of variation (CV)5.5256108
Kurtosis223.92127
Mean124.96057
Median Absolute Deviation (MAD)29
Skewness14.443634
Sum34864
Variance476767.45
MonotonicityNot monotonic
2024-04-06T17:19:01.746733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 10
 
3.3%
7 9
 
3.0%
6 8
 
2.6%
8 8
 
2.6%
49 6
 
2.0%
59 6
 
2.0%
3 6
 
2.0%
16 5
 
1.7%
4 5
 
1.7%
9 5
 
1.7%
Other values (119) 211
69.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 3
 
1.0%
3 6
2.0%
4 5
1.7%
5 10
3.3%
6 8
2.6%
7 9
3.0%
8 8
2.6%
9 5
1.7%
ValueCountFrequency (%)
10994 1
0.3%
3088 1
0.3%
1152 1
0.3%
1018 1
0.3%
692 1
0.3%
641 1
0.3%
632 1
0.3%
579 1
0.3%
541 1
0.3%
465 1
0.3%

2021-04
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)47.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean137.63082
Minimum1
Maximum12075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:02.142987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113.5
median43
Q385
95-th percentile333.6
Maximum12075
Range12074
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation757.4647
Coefficient of variation (CV)5.5035978
Kurtosis224.73642
Mean137.63082
Median Absolute Deviation (MAD)32
Skewness14.458925
Sum38399
Variance573752.77
MonotonicityNot monotonic
2024-04-06T17:19:02.522659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 10
 
3.3%
7 9
 
3.0%
2 7
 
2.3%
10 7
 
2.3%
5 6
 
2.0%
6 6
 
2.0%
12 6
 
2.0%
8 5
 
1.7%
11 5
 
1.7%
16 5
 
1.7%
Other values (122) 213
70.5%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 2
 
0.7%
2 7
2.3%
3 2
 
0.7%
4 10
3.3%
5 6
2.0%
6 6
2.0%
7 9
3.0%
8 5
1.7%
9 3
 
1.0%
10 7
2.3%
ValueCountFrequency (%)
12075 1
0.3%
3185 1
0.3%
1654 1
0.3%
1070 1
0.3%
824 1
0.3%
678 1
0.3%
671 1
0.3%
657 1
0.3%
598 1
0.3%
437 1
0.3%

2021-05
Real number (ℝ)

MISSING 

Distinct131
Distinct (%)47.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean136.17204
Minimum2
Maximum11938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:02.821687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q112.5
median44
Q379.5
95-th percentile350.8
Maximum11938
Range11936
Interquartile range (IQR)67

Descriptive statistics

Standard deviation747.60707
Coefficient of variation (CV)5.4901656
Kurtosis226.23696
Mean136.17204
Median Absolute Deviation (MAD)33
Skewness14.519735
Sum37992
Variance558916.33
MonotonicityNot monotonic
2024-04-06T17:19:03.120801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 9
 
3.0%
4 9
 
3.0%
6 9
 
3.0%
3 7
 
2.3%
8 7
 
2.3%
7 6
 
2.0%
2 6
 
2.0%
11 6
 
2.0%
44 6
 
2.0%
48 5
 
1.7%
Other values (121) 209
69.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
2 6
2.0%
3 7
2.3%
4 9
3.0%
5 9
3.0%
6 9
3.0%
7 6
2.0%
8 7
2.3%
9 3
 
1.0%
10 4
1.3%
11 6
2.0%
ValueCountFrequency (%)
11938 1
0.3%
3145 1
0.3%
1393 1
0.3%
946 1
0.3%
917 1
0.3%
732 1
0.3%
721 1
0.3%
700 1
0.3%
584 1
0.3%
463 1
0.3%

2021-06
Real number (ℝ)

MISSING 

Distinct126
Distinct (%)45.2%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean124.56631
Minimum0
Maximum10891
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:03.432043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median38
Q370
95-th percentile330.1
Maximum10891
Range10891
Interquartile range (IQR)57

Descriptive statistics

Standard deviation681.56634
Coefficient of variation (CV)5.4715143
Kurtosis226.76253
Mean124.56631
Median Absolute Deviation (MAD)29
Skewness14.531686
Sum34754
Variance464532.67
MonotonicityNot monotonic
2024-04-06T17:19:03.726253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
5.0%
9 12
 
4.0%
4 9
 
3.0%
5 9
 
3.0%
7 8
 
2.6%
40 7
 
2.3%
43 6
 
2.0%
26 6
 
2.0%
47 6
 
2.0%
13 6
 
2.0%
Other values (116) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 4
 
1.3%
3 15
5.0%
4 9
3.0%
5 9
3.0%
6 2
 
0.7%
7 8
2.6%
8 4
 
1.3%
9 12
4.0%
ValueCountFrequency (%)
10891 1
0.3%
2816 1
0.3%
1089 1
0.3%
917 1
0.3%
885 1
0.3%
786 1
0.3%
649 1
0.3%
617 1
0.3%
554 1
0.3%
459 1
0.3%

2021-07
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)43.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean121.86738
Minimum0
Maximum10694
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:04.057577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median36
Q372
95-th percentile310.7
Maximum10694
Range10694
Interquartile range (IQR)61

Descriptive statistics

Standard deviation671.72221
Coefficient of variation (CV)5.5119113
Kurtosis223.71644
Mean121.86738
Median Absolute Deviation (MAD)28
Skewness14.426251
Sum34001
Variance451210.73
MonotonicityNot monotonic
2024-04-06T17:19:04.444058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 11
 
3.6%
3 10
 
3.3%
5 10
 
3.3%
4 9
 
3.0%
27 8
 
2.6%
7 7
 
2.3%
2 6
 
2.0%
9 6
 
2.0%
14 6
 
2.0%
34 6
 
2.0%
Other values (111) 200
66.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 6
2.0%
3 10
3.3%
4 9
3.0%
5 10
3.3%
6 11
3.6%
7 7
2.3%
8 2
 
0.7%
9 6
2.0%
ValueCountFrequency (%)
10694 1
0.3%
2961 1
0.3%
1200 1
0.3%
868 1
0.3%
702 1
0.3%
685 2
0.7%
579 1
0.3%
502 1
0.3%
459 1
0.3%
433 1
0.3%

2021-08
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)44.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean115.77061
Minimum1
Maximum10105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:04.761821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110.5
median34
Q368.5
95-th percentile304.3
Maximum10105
Range10104
Interquartile range (IQR)58

Descriptive statistics

Standard deviation633.5363
Coefficient of variation (CV)5.4723414
Kurtosis225.21038
Mean115.77061
Median Absolute Deviation (MAD)27
Skewness14.476295
Sum32300
Variance401368.24
MonotonicityNot monotonic
2024-04-06T17:19:05.081524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
4.3%
3 10
 
3.3%
4 9
 
3.0%
6 8
 
2.6%
7 7
 
2.3%
2 7
 
2.3%
12 5
 
1.7%
11 5
 
1.7%
9 5
 
1.7%
13 5
 
1.7%
Other values (113) 205
67.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 7
2.3%
3 10
3.3%
4 9
3.0%
5 13
4.3%
6 8
2.6%
7 7
2.3%
8 3
 
1.0%
9 5
 
1.7%
10 5
 
1.7%
ValueCountFrequency (%)
10105 1
0.3%
2709 1
0.3%
967 1
0.3%
860 1
0.3%
755 1
0.3%
731 1
0.3%
700 1
0.3%
576 1
0.3%
443 1
0.3%
425 1
0.3%

2021-09
Real number (ℝ)

MISSING 

Distinct122
Distinct (%)43.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean106.82079
Minimum1
Maximum9293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:05.370149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median31
Q370.5
95-th percentile275
Maximum9293
Range9292
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation582.90374
Coefficient of variation (CV)5.456838
Kurtosis224.84473
Mean106.82079
Median Absolute Deviation (MAD)25
Skewness14.470176
Sum29803
Variance339776.77
MonotonicityNot monotonic
2024-04-06T17:19:05.659809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
5.6%
3 10
 
3.3%
6 10
 
3.3%
5 7
 
2.3%
2 7
 
2.3%
7 7
 
2.3%
12 6
 
2.0%
16 5
 
1.7%
40 5
 
1.7%
19 5
 
1.7%
Other values (112) 200
66.2%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 7
2.3%
3 10
3.3%
4 17
5.6%
5 7
2.3%
6 10
3.3%
7 7
2.3%
8 5
 
1.7%
9 4
 
1.3%
10 3
 
1.0%
ValueCountFrequency (%)
9293 1
0.3%
2550 1
0.3%
870 1
0.3%
842 1
0.3%
636 1
0.3%
567 1
0.3%
516 1
0.3%
488 1
0.3%
479 1
0.3%
448 1
0.3%

2021-10
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)41.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean102.91756
Minimum1
Maximum9055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:05.970080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19.5
median29
Q360
95-th percentile276.6
Maximum9055
Range9054
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation563.82101
Coefficient of variation (CV)5.478375
Kurtosis231.2279
Mean102.91756
Median Absolute Deviation (MAD)22
Skewness14.700289
Sum28714
Variance317894.13
MonotonicityNot monotonic
2024-04-06T17:19:06.266891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
4.3%
3 12
 
4.0%
4 10
 
3.3%
5 9
 
3.0%
7 8
 
2.6%
23 7
 
2.3%
16 7
 
2.3%
41 6
 
2.0%
32 6
 
2.0%
2 6
 
2.0%
Other values (107) 195
64.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 6
2.0%
3 12
4.0%
4 10
3.3%
5 9
3.0%
6 13
4.3%
7 8
2.6%
8 4
 
1.3%
9 5
 
1.7%
10 3
 
1.0%
ValueCountFrequency (%)
9055 1
0.3%
2150 1
0.3%
804 1
0.3%
720 1
0.3%
709 1
0.3%
694 1
0.3%
593 1
0.3%
559 1
0.3%
473 1
0.3%
374 1
0.3%

2021-11
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)39.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean97.286738
Minimum1
Maximum8573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:06.588909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median28
Q359.5
95-th percentile236.9
Maximum8573
Range8572
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation533.45584
Coefficient of variation (CV)5.4833356
Kurtosis231.83772
Mean97.286738
Median Absolute Deviation (MAD)22
Skewness14.725632
Sum27143
Variance284575.13
MonotonicityNot monotonic
2024-04-06T17:19:06.834412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
2 12
 
4.0%
5 11
 
3.6%
7 9
 
3.0%
6 9
 
3.0%
25 8
 
2.6%
21 8
 
2.6%
11 7
 
2.3%
3 6
 
2.0%
9 6
 
2.0%
Other values (99) 189
62.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 1
 
0.3%
2 12
4.0%
3 6
2.0%
4 14
4.6%
5 11
3.6%
6 9
3.0%
7 9
3.0%
8 4
 
1.3%
9 6
2.0%
10 3
 
1.0%
ValueCountFrequency (%)
8573 1
0.3%
2011 1
0.3%
815 1
0.3%
782 1
0.3%
636 1
0.3%
595 1
0.3%
559 1
0.3%
460 1
0.3%
416 1
0.3%
375 1
0.3%

2021-12
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)39.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean87.896057
Minimum1
Maximum7782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:07.219152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19.5
median26
Q349
95-th percentile236.8
Maximum7782
Range7781
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation485.66855
Coefficient of variation (CV)5.5254873
Kurtosis229.2939
Mean87.896057
Median Absolute Deviation (MAD)18
Skewness14.631134
Sum24523
Variance235873.94
MonotonicityNot monotonic
2024-04-06T17:19:07.681028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
4.6%
3 13
 
4.3%
23 11
 
3.6%
7 8
 
2.6%
2 8
 
2.6%
26 7
 
2.3%
6 7
 
2.3%
33 7
 
2.3%
19 6
 
2.0%
9 6
 
2.0%
Other values (99) 192
63.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 3
 
1.0%
2 8
2.6%
3 13
4.3%
4 6
2.0%
5 14
4.6%
6 7
2.3%
7 8
2.6%
8 5
 
1.7%
9 6
2.0%
10 4
 
1.3%
ValueCountFrequency (%)
7782 1
0.3%
1934 1
0.3%
737 1
0.3%
730 1
0.3%
517 1
0.3%
494 1
0.3%
487 1
0.3%
486 1
0.3%
463 1
0.3%
335 1
0.3%

2022-01
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)33.7%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean75.146953
Minimum0
Maximum6647
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:07.985148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median19
Q340
95-th percentile212.6
Maximum6647
Range6647
Interquartile range (IQR)33

Descriptive statistics

Standard deviation414.66529
Coefficient of variation (CV)5.5180586
Kurtosis229.50196
Mean75.146953
Median Absolute Deviation (MAD)13
Skewness14.620427
Sum20966
Variance171947.31
MonotonicityNot monotonic
2024-04-06T17:19:08.304065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
3 13
 
4.3%
5 13
 
4.3%
6 12
 
4.0%
2 11
 
3.6%
16 9
 
3.0%
12 8
 
2.6%
9 8
 
2.6%
13 7
 
2.3%
8 7
 
2.3%
Other values (84) 178
58.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 11
3.6%
3 13
4.3%
4 13
4.3%
5 13
4.3%
6 12
4.0%
7 4
 
1.3%
8 7
2.3%
9 8
2.6%
ValueCountFrequency (%)
6647 1
0.3%
1557 1
0.3%
695 1
0.3%
558 1
0.3%
550 1
0.3%
486 1
0.3%
465 1
0.3%
410 1
0.3%
321 1
0.3%
286 1
0.3%

2022-02
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)34.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean73.612903
Minimum0
Maximum6552
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:08.661046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median17
Q339
95-th percentile213.6
Maximum6552
Range6552
Interquartile range (IQR)32

Descriptive statistics

Standard deviation407.05779
Coefficient of variation (CV)5.529707
Kurtosis233.21636
Mean73.612903
Median Absolute Deviation (MAD)12
Skewness14.759085
Sum20538
Variance165696.04
MonotonicityNot monotonic
2024-04-06T17:19:09.715095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
6.0%
5 17
 
5.6%
2 11
 
3.6%
7 9
 
3.0%
9 9
 
3.0%
17 8
 
2.6%
13 8
 
2.6%
15 8
 
2.6%
3 8
 
2.6%
14 8
 
2.6%
Other values (86) 175
57.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
2 11
3.6%
3 8
2.6%
4 18
6.0%
5 17
5.6%
6 6
 
2.0%
7 9
3.0%
8 7
 
2.3%
9 9
3.0%
ValueCountFrequency (%)
6552 1
0.3%
1381 1
0.3%
658 1
0.3%
591 1
0.3%
518 1
0.3%
507 1
0.3%
482 1
0.3%
393 1
0.3%
364 1
0.3%
290 1
0.3%

2022-03
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)36.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean78.83871
Minimum1
Maximum6906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:10.105863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median20
Q344.5
95-th percentile228.3
Maximum6906
Range6905
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation427.18156
Coefficient of variation (CV)5.418424
Kurtosis237.02052
Mean78.83871
Median Absolute Deviation (MAD)14
Skewness14.900875
Sum21996
Variance182484.09
MonotonicityNot monotonic
2024-04-06T17:19:10.403471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
4.6%
3 14
 
4.6%
6 11
 
3.6%
19 9
 
3.0%
10 8
 
2.6%
7 8
 
2.6%
25 8
 
2.6%
12 7
 
2.3%
30 7
 
2.3%
2 7
 
2.3%
Other values (92) 186
61.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 2
 
0.7%
2 7
2.3%
3 14
4.6%
4 14
4.6%
5 7
2.3%
6 11
3.6%
7 8
2.6%
8 5
 
1.7%
9 6
2.0%
10 8
2.6%
ValueCountFrequency (%)
6906 1
0.3%
1267 1
0.3%
604 1
0.3%
580 1
0.3%
578 1
0.3%
539 1
0.3%
516 1
0.3%
491 1
0.3%
463 1
0.3%
344 1
0.3%

2022-04
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)37.6%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean93.157706
Minimum1
Maximum8042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:10.702861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median25
Q350.5
95-th percentile284.1
Maximum8042
Range8041
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation505.7788
Coefficient of variation (CV)5.4292749
Kurtosis222.45683
Mean93.157706
Median Absolute Deviation (MAD)18
Skewness14.368723
Sum25991
Variance255812.19
MonotonicityNot monotonic
2024-04-06T17:19:11.002377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
4.3%
4 13
 
4.3%
7 10
 
3.3%
25 8
 
2.6%
11 8
 
2.6%
3 8
 
2.6%
13 8
 
2.6%
20 7
 
2.3%
6 7
 
2.3%
27 7
 
2.3%
Other values (95) 190
62.9%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 6
2.0%
3 8
2.6%
4 13
4.3%
5 13
4.3%
6 7
2.3%
7 10
3.3%
8 7
2.3%
9 1
 
0.3%
10 5
 
1.7%
ValueCountFrequency (%)
8042 1
0.3%
2258 1
0.3%
665 1
0.3%
579 1
0.3%
570 2
0.7%
566 1
0.3%
519 1
0.3%
411 1
0.3%
362 1
0.3%
334 1
0.3%

2022-05
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)38.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean84.673835
Minimum0
Maximum7403
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:11.319724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median25
Q351.5
95-th percentile218.3
Maximum7403
Range7403
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation462.53381
Coefficient of variation (CV)5.4625353
Kurtosis228.22926
Mean84.673835
Median Absolute Deviation (MAD)18
Skewness14.595496
Sum23624
Variance213937.53
MonotonicityNot monotonic
2024-04-06T17:19:11.587820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
4.6%
4 12
 
4.0%
7 10
 
3.3%
5 10
 
3.3%
31 9
 
3.0%
25 9
 
3.0%
12 9
 
3.0%
20 8
 
2.6%
6 8
 
2.6%
10 7
 
2.3%
Other values (96) 183
60.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 2
 
0.7%
2 4
 
1.3%
3 14
4.6%
4 12
4.0%
5 10
3.3%
6 8
2.6%
7 10
3.3%
8 3
 
1.0%
9 5
 
1.7%
ValueCountFrequency (%)
7403 1
0.3%
1899 1
0.3%
806 1
0.3%
582 1
0.3%
517 1
0.3%
490 1
0.3%
412 1
0.3%
383 1
0.3%
330 1
0.3%
305 1
0.3%

2022-06
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)35.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean78.258065
Minimum1
Maximum6878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:11.943802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median20
Q346
95-th percentile258.6
Maximum6878
Range6877
Interquartile range (IQR)38

Descriptive statistics

Standard deviation429.17609
Coefficient of variation (CV)5.4841132
Kurtosis229.25562
Mean78.258065
Median Absolute Deviation (MAD)14
Skewness14.61389
Sum21834
Variance184192.11
MonotonicityNot monotonic
2024-04-06T17:19:12.359208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
4.3%
3 13
 
4.3%
10 12
 
4.0%
7 11
 
3.6%
18 10
 
3.3%
6 10
 
3.3%
5 9
 
3.0%
2 8
 
2.6%
24 7
 
2.3%
20 7
 
2.3%
Other values (89) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 8
2.6%
3 13
4.3%
4 13
4.3%
5 9
3.0%
6 10
3.3%
7 11
3.6%
8 4
 
1.3%
9 5
 
1.7%
10 12
4.0%
ValueCountFrequency (%)
6878 1
0.3%
1636 1
0.3%
704 1
0.3%
674 1
0.3%
549 1
0.3%
402 1
0.3%
396 1
0.3%
346 1
0.3%
334 1
0.3%
328 1
0.3%

2022-07
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)30.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean56.831541
Minimum0
Maximum4987
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:12.671772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q17
median16
Q333.5
95-th percentile185.2
Maximum4987
Range4987
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation310.59269
Coefficient of variation (CV)5.4651463
Kurtosis230.90507
Mean56.831541
Median Absolute Deviation (MAD)11
Skewness14.679724
Sum15856
Variance96467.817
MonotonicityNot monotonic
2024-04-06T17:19:13.072000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 22
 
7.3%
4 13
 
4.3%
3 12
 
4.0%
10 12
 
4.0%
13 12
 
4.0%
2 10
 
3.3%
17 10
 
3.3%
9 9
 
3.0%
15 8
 
2.6%
8 7
 
2.3%
Other values (75) 164
54.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 10
3.3%
3 12
4.0%
4 13
4.3%
5 22
7.3%
6 6
 
2.0%
7 7
 
2.3%
8 7
 
2.3%
9 9
3.0%
ValueCountFrequency (%)
4987 1
0.3%
1129 1
0.3%
637 1
0.3%
477 1
0.3%
348 1
0.3%
272 1
0.3%
264 1
0.3%
249 1
0.3%
242 1
0.3%
229 1
0.3%

2022-08
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)30.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean65.096774
Minimum1
Maximum5699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:13.349390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median15
Q333.5
95-th percentile195.1
Maximum5699
Range5698
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation357.47496
Coefficient of variation (CV)5.4914389
Kurtosis224.67574
Mean65.096774
Median Absolute Deviation (MAD)10
Skewness14.436491
Sum18162
Variance127788.35
MonotonicityNot monotonic
2024-04-06T17:19:13.782231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 16
 
5.3%
3 14
 
4.6%
6 13
 
4.3%
4 13
 
4.3%
8 13
 
4.3%
5 12
 
4.0%
2 12
 
4.0%
7 9
 
3.0%
15 8
 
2.6%
16 8
 
2.6%
Other values (76) 161
53.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 4
 
1.3%
2 12
4.0%
3 14
4.6%
4 13
4.3%
5 12
4.0%
6 13
4.3%
7 9
3.0%
8 13
4.3%
9 7
2.3%
10 4
 
1.3%
ValueCountFrequency (%)
5699 1
0.3%
1482 1
0.3%
517 1
0.3%
472 1
0.3%
461 1
0.3%
425 1
0.3%
412 1
0.3%
344 1
0.3%
329 1
0.3%
282 1
0.3%

2022-09
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)28.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum4408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:14.109864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median13
Q329
95-th percentile158.4
Maximum4408
Range4407
Interquartile range (IQR)23

Descriptive statistics

Standard deviation273.53802
Coefficient of variation (CV)5.4707605
Kurtosis234.21854
Mean50
Median Absolute Deviation (MAD)9
Skewness14.802859
Sum13950
Variance74823.05
MonotonicityNot monotonic
2024-04-06T17:19:14.466575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
5.6%
3 17
 
5.6%
2 15
 
5.0%
5 14
 
4.6%
9 13
 
4.3%
6 12
 
4.0%
13 11
 
3.6%
11 11
 
3.6%
10 10
 
3.3%
12 7
 
2.3%
Other values (69) 152
50.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 5
 
1.7%
2 15
5.0%
3 17
5.6%
4 17
5.6%
5 14
4.6%
6 12
4.0%
7 6
 
2.0%
8 6
 
2.0%
9 13
4.3%
10 10
3.3%
ValueCountFrequency (%)
4408 1
0.3%
937 1
0.3%
394 1
0.3%
371 1
0.3%
342 1
0.3%
311 1
0.3%
292 1
0.3%
260 1
0.3%
254 1
0.3%
241 1
0.3%

2022-10
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)28.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean51.551971
Minimum0
Maximum4493
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:14.789980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median13
Q327
95-th percentile175.4
Maximum4493
Range4493
Interquartile range (IQR)21

Descriptive statistics

Standard deviation279.85536
Coefficient of variation (CV)5.4286065
Kurtosis230.80656
Mean51.551971
Median Absolute Deviation (MAD)8
Skewness14.677241
Sum14383
Variance78319.025
MonotonicityNot monotonic
2024-04-06T17:19:15.114995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
6 13
 
4.3%
4 13
 
4.3%
10 13
 
4.3%
11 12
 
4.0%
3 12
 
4.0%
20 11
 
3.6%
5 11
 
3.6%
9 11
 
3.6%
12 10
 
3.3%
Other values (69) 155
51.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 5
 
1.7%
2 18
6.0%
3 12
4.0%
4 13
4.3%
5 11
3.6%
6 13
4.3%
7 8
2.6%
8 8
2.6%
9 11
3.6%
ValueCountFrequency (%)
4493 1
0.3%
1067 1
0.3%
368 1
0.3%
329 1
0.3%
294 1
0.3%
293 2
0.7%
287 1
0.3%
239 1
0.3%
238 1
0.3%
235 1
0.3%

2022-11
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)28.0%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean47.956989
Minimum0
Maximum4235
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:15.464977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median12
Q326.5
95-th percentile138.9
Maximum4235
Range4235
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation262.94955
Coefficient of variation (CV)5.4830287
Kurtosis233.82763
Mean47.956989
Median Absolute Deviation (MAD)8
Skewness14.801629
Sum13380
Variance69142.466
MonotonicityNot monotonic
2024-04-06T17:19:15.770962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 20
 
6.6%
4 19
 
6.3%
10 17
 
5.6%
3 12
 
4.0%
12 12
 
4.0%
11 11
 
3.6%
8 11
 
3.6%
6 10
 
3.3%
5 10
 
3.3%
7 8
 
2.6%
Other values (68) 149
49.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 20
6.6%
3 12
4.0%
4 19
6.3%
5 10
3.3%
6 10
3.3%
7 8
 
2.6%
8 11
3.6%
9 8
 
2.6%
ValueCountFrequency (%)
4235 1
0.3%
961 1
0.3%
348 1
0.3%
332 1
0.3%
313 1
0.3%
279 1
0.3%
269 1
0.3%
260 1
0.3%
221 1
0.3%
204 1
0.3%

2022-12
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)28.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean62.25448
Minimum0
Maximum5555
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:16.085019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median16
Q333
95-th percentile203
Maximum5555
Range5555
Interquartile range (IQR)27

Descriptive statistics

Standard deviation351.53627
Coefficient of variation (CV)5.6467626
Kurtosis217.87202
Mean62.25448
Median Absolute Deviation (MAD)11
Skewness14.216839
Sum17369
Variance123577.75
MonotonicityNot monotonic
2024-04-06T17:19:16.469544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.6%
4 17
 
5.6%
2 16
 
5.3%
6 11
 
3.6%
13 11
 
3.6%
5 11
 
3.6%
12 10
 
3.3%
18 9
 
3.0%
28 8
 
2.6%
17 7
 
2.3%
Other values (69) 162
53.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 16
5.3%
3 17
5.6%
4 17
5.6%
5 11
3.6%
6 11
3.6%
7 7
2.3%
8 4
 
1.3%
9 5
 
1.7%
ValueCountFrequency (%)
5555 1
0.3%
1717 1
0.3%
463 1
0.3%
431 1
0.3%
369 1
0.3%
338 1
0.3%
301 1
0.3%
296 1
0.3%
290 1
0.3%
289 1
0.3%

2023-01
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)25.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean42.81362
Minimum0
Maximum3796
Zeros2
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:16.897980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14.5
median11
Q322
95-th percentile133.7
Maximum3796
Range3796
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation236.7402
Coefficient of variation (CV)5.5295534
Kurtosis229.81802
Mean42.81362
Median Absolute Deviation (MAD)8
Skewness14.636518
Sum11945
Variance56045.922
MonotonicityNot monotonic
2024-04-06T17:19:17.212303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
2 19
 
6.3%
1 15
 
5.0%
4 15
 
5.0%
6 15
 
5.0%
5 15
 
5.0%
11 13
 
4.3%
8 11
 
3.6%
14 11
 
3.6%
9 10
 
3.3%
Other values (60) 136
45.0%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 2
 
0.7%
1 15
5.0%
2 19
6.3%
3 19
6.3%
4 15
5.0%
5 15
5.0%
6 15
5.0%
7 10
3.3%
8 11
3.6%
9 10
3.3%
ValueCountFrequency (%)
3796 1
0.3%
897 1
0.3%
422 1
0.3%
274 1
0.3%
254 1
0.3%
249 1
0.3%
248 1
0.3%
238 2
0.7%
179 1
0.3%
157 1
0.3%

2023-02
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)31.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean67.225806
Minimum0
Maximum5825
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:17.551209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median15
Q336.5
95-th percentile202.4
Maximum5825
Range5825
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation365.99439
Coefficient of variation (CV)5.4442544
Kurtosis223.05169
Mean67.225806
Median Absolute Deviation (MAD)12
Skewness14.36771
Sum18756
Variance133951.89
MonotonicityNot monotonic
2024-04-06T17:19:17.924360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
4 14
 
4.6%
2 14
 
4.6%
27 11
 
3.6%
8 11
 
3.6%
12 10
 
3.3%
11 10
 
3.3%
5 9
 
3.0%
6 9
 
3.0%
10 8
 
2.6%
Other values (79) 164
54.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 14
4.6%
3 19
6.3%
4 14
4.6%
5 9
3.0%
6 9
3.0%
7 6
 
2.0%
8 11
3.6%
9 4
 
1.3%
ValueCountFrequency (%)
5825 1
0.3%
1508 1
0.3%
730 1
0.3%
600 1
0.3%
378 1
0.3%
357 1
0.3%
335 1
0.3%
295 1
0.3%
292 1
0.3%
270 1
0.3%

2023-03
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)33.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean67.200717
Minimum0
Maximum5883
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:18.325860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q17.5
median19
Q340
95-th percentile201.8
Maximum5883
Range5883
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation367.98264
Coefficient of variation (CV)5.4758738
Kurtosis227.32295
Mean67.200717
Median Absolute Deviation (MAD)14
Skewness14.567399
Sum18749
Variance135411.23
MonotonicityNot monotonic
2024-04-06T17:19:18.598178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
6.0%
6 13
 
4.3%
4 12
 
4.0%
2 10
 
3.3%
8 9
 
3.0%
9 9
 
3.0%
5 8
 
2.6%
14 8
 
2.6%
24 8
 
2.6%
19 7
 
2.3%
Other values (83) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 10
3.3%
3 18
6.0%
4 12
4.0%
5 8
2.6%
6 13
4.3%
7 5
 
1.7%
8 9
3.0%
9 9
3.0%
ValueCountFrequency (%)
5883 1
0.3%
1562 1
0.3%
607 1
0.3%
402 1
0.3%
374 1
0.3%
364 1
0.3%
351 1
0.3%
314 2
0.7%
270 1
0.3%
219 1
0.3%

2023-04
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)31.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean65.727599
Minimum0
Maximum5763
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:18.879603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median19
Q339
95-th percentile176.5
Maximum5763
Range5763
Interquartile range (IQR)33

Descriptive statistics

Standard deviation361.12571
Coefficient of variation (CV)5.4942782
Kurtosis225.81275
Mean65.727599
Median Absolute Deviation (MAD)14
Skewness14.511086
Sum18338
Variance130411.78
MonotonicityNot monotonic
2024-04-06T17:19:19.617540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17
 
5.6%
3 17
 
5.6%
4 13
 
4.3%
6 13
 
4.3%
21 10
 
3.3%
14 9
 
3.0%
20 8
 
2.6%
34 7
 
2.3%
13 7
 
2.3%
5 7
 
2.3%
Other values (78) 171
56.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 17
5.6%
3 17
5.6%
4 13
4.3%
5 7
2.3%
6 13
4.3%
7 5
 
1.7%
8 5
 
1.7%
9 7
2.3%
ValueCountFrequency (%)
5763 1
0.3%
1576 1
0.3%
498 1
0.3%
439 1
0.3%
379 1
0.3%
377 1
0.3%
369 1
0.3%
363 1
0.3%
305 1
0.3%
227 2
0.7%

2023-05
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)35.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean77.892473
Minimum0
Maximum6836
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:19.882863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median21
Q346.5
95-th percentile207.4
Maximum6836
Range6836
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation429.20621
Coefficient of variation (CV)5.5102399
Kurtosis223.71892
Mean77.892473
Median Absolute Deviation (MAD)16
Skewness14.393601
Sum21732
Variance184217.97
MonotonicityNot monotonic
2024-04-06T17:19:20.174736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
4 15
 
5.0%
6 13
 
4.3%
2 12
 
4.0%
17 11
 
3.6%
9 9
 
3.0%
31 8
 
2.6%
12 8
 
2.6%
16 7
 
2.3%
23 7
 
2.3%
Other values (90) 173
57.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.3%
2 12
4.0%
3 16
5.3%
4 15
5.0%
5 6
 
2.0%
6 13
4.3%
7 5
 
1.7%
8 4
 
1.3%
9 9
3.0%
ValueCountFrequency (%)
6836 1
0.3%
1646 1
0.3%
1176 1
0.3%
587 1
0.3%
423 1
0.3%
422 1
0.3%
374 1
0.3%
346 1
0.3%
332 1
0.3%
317 1
0.3%

2023-06
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)35.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean80.060932
Minimum0
Maximum6948
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:20.457639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median22
Q346.5
95-th percentile227.3
Maximum6948
Range6948
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation438.31708
Coefficient of variation (CV)5.4747936
Kurtosis220.08413
Mean80.060932
Median Absolute Deviation (MAD)17
Skewness14.2929
Sum22337
Variance192121.86
MonotonicityNot monotonic
2024-04-06T17:19:20.763731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
6.0%
4 16
 
5.3%
5 11
 
3.6%
2 9
 
3.0%
17 9
 
3.0%
22 8
 
2.6%
36 7
 
2.3%
1 7
 
2.3%
10 7
 
2.3%
7 7
 
2.3%
Other values (89) 180
59.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
 
2.3%
2 9
3.0%
3 18
6.0%
4 16
5.3%
5 11
3.6%
6 6
 
2.0%
7 7
 
2.3%
8 5
 
1.7%
9 4
 
1.3%
ValueCountFrequency (%)
6948 1
0.3%
2063 1
0.3%
666 1
0.3%
514 1
0.3%
464 1
0.3%
431 1
0.3%
362 1
0.3%
357 1
0.3%
342 1
0.3%
339 1
0.3%

2023-07
Real number (ℝ)

MISSING 

Distinct98
Distinct (%)35.1%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean72.014337
Minimum1
Maximum6354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:21.102939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median22
Q343.5
95-th percentile215
Maximum6354
Range6353
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation397.09731
Coefficient of variation (CV)5.5141424
Kurtosis228.08985
Mean72.014337
Median Absolute Deviation (MAD)17
Skewness14.590008
Sum20092
Variance157686.27
MonotonicityNot monotonic
2024-04-06T17:19:21.381291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
3 14
 
4.6%
5 13
 
4.3%
2 12
 
4.0%
1 10
 
3.3%
9 9
 
3.0%
6 7
 
2.3%
29 7
 
2.3%
14 7
 
2.3%
22 6
 
2.0%
Other values (88) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 10
3.3%
2 12
4.0%
3 14
4.6%
4 15
5.0%
5 13
4.3%
6 7
2.3%
7 3
 
1.0%
8 4
 
1.3%
9 9
3.0%
10 2
 
0.7%
ValueCountFrequency (%)
6354 1
0.3%
1632 1
0.3%
696 1
0.3%
470 1
0.3%
437 1
0.3%
404 1
0.3%
401 1
0.3%
336 1
0.3%
334 1
0.3%
263 1
0.3%

2023-08
Real number (ℝ)

MISSING 

Distinct97
Distinct (%)34.8%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean75.283154
Minimum1
Maximum6643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:21.651021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median23
Q344.5
95-th percentile219.2
Maximum6643
Range6642
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation416.65948
Coefficient of variation (CV)5.5345646
Kurtosis225.02272
Mean75.283154
Median Absolute Deviation (MAD)17
Skewness14.475825
Sum21004
Variance173605.12
MonotonicityNot monotonic
2024-04-06T17:19:21.937699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 14
 
4.6%
5 11
 
3.6%
6 10
 
3.3%
4 9
 
3.0%
11 8
 
2.6%
23 7
 
2.3%
27 6
 
2.0%
1 6
 
2.0%
25 6
 
2.0%
Other values (87) 186
61.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
1 6
 
2.0%
2 14
4.6%
3 16
5.3%
4 9
3.0%
5 11
3.6%
6 10
3.3%
7 5
 
1.7%
8 6
 
2.0%
9 5
 
1.7%
10 4
 
1.3%
ValueCountFrequency (%)
6643 1
0.3%
1814 1
0.3%
619 1
0.3%
578 1
0.3%
464 1
0.3%
423 1
0.3%
409 1
0.3%
351 1
0.3%
308 1
0.3%
280 1
0.3%

2023-09
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)34.4%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean69.408602
Minimum0
Maximum6096
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:22.200195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median20
Q341.5
95-th percentile183.7
Maximum6096
Range6096
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation381.72602
Coefficient of variation (CV)5.4996932
Kurtosis226.32683
Mean69.408602
Median Absolute Deviation (MAD)15
Skewness14.52086
Sum19365
Variance145714.75
MonotonicityNot monotonic
2024-04-06T17:19:22.469088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
5.3%
2 15
 
5.0%
4 12
 
4.0%
7 10
 
3.3%
12 10
 
3.3%
5 8
 
2.6%
20 8
 
2.6%
1 8
 
2.6%
6 8
 
2.6%
22 7
 
2.3%
Other values (86) 177
58.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 15
5.0%
3 16
5.3%
4 12
4.0%
5 8
2.6%
6 8
2.6%
7 10
3.3%
8 6
 
2.0%
9 4
 
1.3%
ValueCountFrequency (%)
6096 1
0.3%
1608 1
0.3%
681 1
0.3%
444 1
0.3%
398 1
0.3%
360 1
0.3%
359 1
0.3%
341 1
0.3%
328 1
0.3%
305 1
0.3%

2023-10
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)31.9%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean65.34767
Minimum0
Maximum5761
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:22.762055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median20
Q339
95-th percentile166.2
Maximum5761
Range5761
Interquartile range (IQR)32

Descriptive statistics

Standard deviation359.13734
Coefficient of variation (CV)5.4957941
Kurtosis230.24963
Mean65.34767
Median Absolute Deviation (MAD)14
Skewness14.669614
Sum18232
Variance128979.63
MonotonicityNot monotonic
2024-04-06T17:19:23.025741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 18
 
6.0%
6 13
 
4.3%
5 10
 
3.3%
10 9
 
3.0%
8 9
 
3.0%
4 9
 
3.0%
16 8
 
2.6%
19 8
 
2.6%
3 8
 
2.6%
1 8
 
2.6%
Other values (79) 179
59.3%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 8
2.6%
2 18
6.0%
3 8
2.6%
4 9
3.0%
5 10
3.3%
6 13
4.3%
7 5
 
1.7%
8 9
3.0%
9 5
 
1.7%
ValueCountFrequency (%)
5761 1
0.3%
1412 1
0.3%
644 1
0.3%
387 1
0.3%
367 1
0.3%
357 1
0.3%
340 1
0.3%
333 1
0.3%
315 1
0.3%
310 1
0.3%

2023-11
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)32.3%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean68.129032
Minimum0
Maximum5998
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:23.307741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median20
Q337.5
95-th percentile244.5
Maximum5998
Range5998
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation372.07494
Coefficient of variation (CV)5.4613272
Kurtosis234.50967
Mean68.129032
Median Absolute Deviation (MAD)14
Skewness14.813139
Sum19008
Variance138439.76
MonotonicityNot monotonic
2024-04-06T17:19:23.570779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
2 15
 
5.0%
3 13
 
4.3%
6 12
 
4.0%
7 9
 
3.0%
25 9
 
3.0%
22 8
 
2.6%
8 8
 
2.6%
13 8
 
2.6%
14 8
 
2.6%
Other values (80) 174
57.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 3
 
1.0%
2 15
5.0%
3 13
4.3%
4 15
5.0%
5 7
2.3%
6 12
4.0%
7 9
3.0%
8 8
2.6%
9 5
 
1.7%
ValueCountFrequency (%)
5998 1
0.3%
1247 1
0.3%
647 1
0.3%
548 1
0.3%
416 1
0.3%
365 1
0.3%
333 1
0.3%
326 1
0.3%
307 1
0.3%
304 1
0.3%

2023-12
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)30.5%
Missing23
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean60.473118
Minimum0
Maximum5366
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:23.870576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median16
Q333
95-th percentile174.1
Maximum5366
Range5366
Interquartile range (IQR)26

Descriptive statistics

Standard deviation334.45376
Coefficient of variation (CV)5.5306187
Kurtosis230.42576
Mean60.473118
Median Absolute Deviation (MAD)11
Skewness14.669681
Sum16872
Variance111859.31
MonotonicityNot monotonic
2024-04-06T17:19:24.133966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
5.0%
2 15
 
5.0%
5 12
 
4.0%
3 12
 
4.0%
14 11
 
3.6%
10 10
 
3.3%
7 9
 
3.0%
9 8
 
2.6%
8 8
 
2.6%
19 8
 
2.6%
Other values (75) 171
56.6%
(Missing) 23
 
7.6%
ValueCountFrequency (%)
0 1
 
0.3%
1 7
2.3%
2 15
5.0%
3 12
4.0%
4 15
5.0%
5 12
4.0%
6 7
2.3%
7 9
3.0%
8 8
2.6%
9 8
2.6%
ValueCountFrequency (%)
5366 1
0.3%
1288 1
0.3%
595 1
0.3%
383 1
0.3%
368 1
0.3%
343 1
0.3%
331 1
0.3%
308 2
0.7%
250 1
0.3%
217 1
0.3%

2024-01
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)34.0%
Missing20
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean70.705674
Minimum1
Maximum6248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T17:19:24.414346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median18.5
Q340
95-th percentile209.75
Maximum6248
Range6247
Interquartile range (IQR)33

Descriptive statistics

Standard deviation389.86097
Coefficient of variation (CV)5.5138569
Kurtosis227.20888
Mean70.705674
Median Absolute Deviation (MAD)13.5
Skewness14.534976
Sum19939
Variance151991.57
MonotonicityNot monotonic
2024-04-06T17:19:24.705254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
6.3%
5 14
 
4.6%
2 12
 
4.0%
4 10
 
3.3%
9 10
 
3.3%
17 8
 
2.6%
14 8
 
2.6%
1 7
 
2.3%
6 7
 
2.3%
27 7
 
2.3%
Other values (86) 180
59.6%
(Missing) 20
 
6.6%
ValueCountFrequency (%)
1 7
 
2.3%
2 12
4.0%
3 19
6.3%
4 10
3.3%
5 14
4.6%
6 7
 
2.3%
7 5
 
1.7%
8 6
 
2.0%
9 10
3.3%
10 5
 
1.7%
ValueCountFrequency (%)
6248 1
0.3%
1683 1
0.3%
570 1
0.3%
513 1
0.3%
452 1
0.3%
414 1
0.3%
405 1
0.3%
373 1
0.3%
345 1
0.3%
313 1
0.3%

Sample

지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국738085351100596811013189237522667710894116611627913795904572087795778986666792830483137903922888157989781272659121104839294919092586817639667575323541644905915749877317349849391848311946992498290872862286844104147768660768566472604858307239905611809780177941012195848798849280858183769781498543119694448632872197240732868856592684554657741815411298454454747073874098751423760945957618797729460109188135102821001310562901990269692940110435147341076111374970494381371513747128341306414206116771062712377119781159689787852993810283109121151011756122341129513161128671174384648518105641043311938131641386315270131281042812307122991329811191141171078610991109261114410457110391282510431920192797860938595338853844810584105201005211476124331493513319146081249489011048016024174451137411333114951362917114112671072110994120751193810891106941010592939055857377826647655269068042740368784987569944084493423555553796582558835763683669486354664360965761599853666248
1서울9761599217320462272174613491392229429293874317016351326123012721160105911541176102014151605122310671079156421401777161113538907296924886035037058811147121013931443134815131431105810117688771094893699630575601545681883122193791112131073966911791885851936854115241482175580976466261348644376287812145145158301030116216065936447671202115012319681171142914011110102012071323148418741464128610891343290321742192209424071948169819361815164812071132149216371911204423362249189122462038199311151157143216621961233123162670195311631453197720021787255513931608120816171530195420611235978953646905962983118815291530129515531708214918301802170110731202182927081638144911911258169015891204115216541393108912009678707207827305505075786658066746374723423293134634227306074981176666696619681644647595570
2서울 종로구1018222427222320323450423623302925182018162423273028453933273717141413159911121627241823241919111219151312911101213211215161316151314141315187108151412191181317241012121617251114161614161215202018131614172118202018252921312820243125211415241925232521192326241622395343353026221517202319322516171918232515171611161813111417131623372922211616214522171616231424212526181717141315169131012171377667956106101168117799
3서울 중구1723232922141311212740421915141516131114122217171412202523171910886661029341825192621201628192827191517161915251224341114138912101311211637829351811101479111495813162487816141411171417121010151420191710199382428252527282322231815211925282327253626201091419242529303126161722314221201614141821161197811101113131117242723181491122302529141618141110161913201388525612769516184436265889118106875
4서울 용산구534675899783515580838798372327333737424758667861422934463537242313914221825313634343429353727312118282424331916231616321517263431231816171719319112116191716121018163081922272940121217282225315151453331292437443433252354596452514234413233272233294759202565360524626274846607810690131344644958311432343439435756344018141935283135393535449169544187595083413227355030323710849293131312321221317233031181412910111761191117171217211522914
5서울 성동구22377471102725352608712696412422363021263024363127222641495646341917129101217263747565746585032271928292719141691214192221273726211918272127223111161922211614141217203415223031325112172638322927345066452937354867674639386787162105705045645549293348566984807963726356353640446995104106854148586365714730242841596326221615132415433655443758775149402520491395035174351293455233220252120161617224011142220231191561325272117222219212432191220
6서울 광진구22466179887544549397139113514270595868653937434441343956696548412620191716182527304146575049595135212144322515201914162045232441413531292524262940121729303929241714232936511233231501620253330372440384638273835475954463747647780806268676760583239435158546663596763622743474761767074763848655550805046323538456955452720263066483355454955654638443334497139682850332536357938393128272531261818202723242815119101711101214171715158215281716
7서울 동대문구2512094586249404073861371035340524945645947535966473336571077257423422219272017325033344536484730302128443222151515132023263132453731444927273031351726263525202514202727351121243557673128263948403244515649403744781207350464882888887885961706754393376608073809376907578414058527574778954606570648394576457718112574414734664933701007656175526570637767575258968638323049423234643332333625222023141123252152981417816281077218207834333379116296760
8서울 중랑구204459596651405589941571237049567058531037748646254374062134835743311920129101016272636394046504132233146352530212016182334138345943393528333036343814233233353527191832323721142642425419252951444463497510048477969486957464345718190971168675767660464781707375787965848395424055557379887967396084125618557595548655566493628213129352886584444646344568046395688595742305150395458665344353440292722172435332323232013134414193810162021141616162412
9서울 성북구57781179711714694861461781801711247561574754566560781086846486913483123933928222330333942595469616272746147293142443639334851384458425062544453354946534052193940384040322421413348182342445380263238665953395259665446485261776858576698108105106105898092927551456475841029210792111998557657769909910513477566382848313680706570100168909839443753756646831206919012014195971005149831297263554764627148526247474849323331311721272835161614261817445554212626121292523362119
지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
292경남 거창군356433746558436873443544456635955651844554554767545119455104675547715787585846766411846595667477659615181611145576712610569910813597710914342718321111911987988977977111313251611784649455779756787812910879898698997611105218201199758781057901664623456597712789
293경남 합천군12322215325332331233222322323213252213232362223433104333233442353343532443336542433454454473435363336576344534357676545754233444433443544556544565543433334444674445334252445545434564374444543453454534343432332333322242
294(구)제주12298110474833<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
295(구)제주 (구)제주시1018192332720<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
296(구)제주 (구)서귀포시1087575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
297(구)제주 (구)북제주군857685<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
298(구)제주 (구)남제주군334364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
299제주<NA><NA><NA><NA><NA><NA>3533555210386905760377941423327484570794845413541565744493845686347434239444748485471897159564752394638638120614596946561564957536310618210611074657469566259878416588921048613012172726612810215314412099998693101971161361191681891291471161221281291241491661561791631491651711351541201331221281561821751471641201101331191121149513815413511812811610913511711398108104114119899896103608795679289114909689778298132857588118162126107120123166136108107102104107127939810813613511774977671717152548576776864666470806074
300제주 제주시<NA><NA><NA><NA><NA><NA>29254442917172414828713130252036355863363628263436333339313654473633313031303837445772534445353930363149661891248277484445384342488914592915952625041454072701397475856710395505347101721251098978716675807884102841131278898818389956577878612011810211094809076908186101115113981098268928975837010211110076867673928875758282788661736773426162526969906672685658679360525784108837280821259771767378737462617699967252775547505435376338484746474744584351
301제주 서귀포시<NA><NA><NA><NA><NA><NA>68111012151816129810128712101116119139720241110791415111010913179111013171815111113910714141721141717171111131215173714191413121915172015152614181819272622191927302835312128201822193234355561404934393934597379705945475477546444424142556762495438424129363125364335424240364329382326233633282530301826331622212424242121243139252230335442354041424037313027335330383237394622202124221817172238282218191726221624