Overview

Dataset statistics

Number of variables217
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.5 KiB
Average record size in memory1.9 KiB

Variable types

Text1
Numeric215
Categorical1

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 공동주택 실거래가격지수중 아파트의 월별 지역별 매매 데이터입니다.- (기준시점 : 2017.11 = 100)- 단위 : 지수- 공표시기 :* 공동주택 통합(매매)=> 매월 : 전국, 수도권, 지방, 서울, 인천, 경기* 아파트(매매)=> 매월 : 전국, 시·도, 서울 생활권역=> 매분기 : 수도권 및 광역시의 시·군·구* 아파트(전세)=> 매월 : 전국, 시·도, 서울 생활권역* 연립·다세대(매매)=> 매월 : 전국, 수도권, 지방, 서울, 인천, 경기
Author한국부동산원
URLhttps://www.data.go.kr/data/15044283/fileData.do

Alerts

2017-11 has constant value ""Constant
지역 has unique valuesUnique
2006-01 has unique valuesUnique
2006-05 has unique valuesUnique
2007-09 has unique valuesUnique
2008-02 has unique valuesUnique
2008-04 has unique valuesUnique
2008-05 has unique valuesUnique
2008-06 has unique valuesUnique
2008-07 has unique valuesUnique
2008-08 has unique valuesUnique
2008-09 has unique valuesUnique
2008-10 has unique valuesUnique
2008-11 has unique valuesUnique
2008-12 has unique valuesUnique
2009-01 has unique valuesUnique
2009-02 has unique valuesUnique
2009-03 has unique valuesUnique
2009-06 has unique valuesUnique
2009-07 has unique valuesUnique
2009-12 has unique valuesUnique
2010-01 has unique valuesUnique
2010-05 has unique valuesUnique
2010-06 has unique valuesUnique
2011-09 has unique valuesUnique
2011-10 has unique valuesUnique
2012-09 has unique valuesUnique
2012-11 has unique valuesUnique
2012-12 has unique valuesUnique
2013-02 has unique valuesUnique
2013-12 has unique valuesUnique
2014-02 has unique valuesUnique
2014-11 has unique valuesUnique
2015-01 has unique valuesUnique
2015-03 has unique valuesUnique
2015-08 has unique valuesUnique
2015-09 has unique valuesUnique
2016-03 has unique valuesUnique
2016-08 has unique valuesUnique
2018-04 has unique valuesUnique
2018-08 has unique valuesUnique
2019-01 has unique valuesUnique
2019-04 has unique valuesUnique
2020-02 has unique valuesUnique
2020-03 has unique valuesUnique
2020-04 has unique valuesUnique
2020-06 has unique valuesUnique
2020-07 has unique valuesUnique
2020-10 has unique valuesUnique
2020-11 has unique valuesUnique
2020-12 has unique valuesUnique
2021-02 has unique valuesUnique
2021-04 has unique valuesUnique
2021-05 has unique valuesUnique
2021-09 has unique valuesUnique
2021-10 has unique valuesUnique
2021-12 has unique valuesUnique
2022-01 has unique valuesUnique
2022-03 has unique valuesUnique
2022-04 has unique valuesUnique
2022-05 has unique valuesUnique
2022-06 has unique valuesUnique
2022-08 has unique valuesUnique
2022-10 has unique valuesUnique
2022-11 has unique valuesUnique
2022-12 has unique valuesUnique
2023-02 has unique valuesUnique
2023-04 has unique valuesUnique
2023-05 has unique valuesUnique
2023-09 has unique valuesUnique
2023-11 has unique valuesUnique
2023-12 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:14:14.587929
Analysis finished2024-03-16 04:14:17.188572
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-03-16T13:14:17.337992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters84
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row전국
2nd row수도권
3rd row지방
4th row6대광역시
5th row5대광역시
ValueCountFrequency (%)
서울 6
 
18.2%
전국 1
 
3.0%
광주 1
 
3.0%
경남 1
 
3.0%
경북 1
 
3.0%
전남 1
 
3.0%
전북 1
 
3.0%
충남 1
 
3.0%
충북 1
 
3.0%
강원 1
 
3.0%
Other values (18) 18
54.5%
2024-03-16T13:14:17.797934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
9.5%
7
 
8.3%
6
 
7.1%
5
 
6.0%
5
 
6.0%
5
 
6.0%
4
 
4.8%
4
 
4.8%
3
 
3.6%
3
 
3.6%
Other values (26) 34
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
90.5%
Space Separator 5
 
6.0%
Decimal Number 3
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
10.5%
7
 
9.2%
6
 
7.9%
5
 
6.6%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (22) 28
36.8%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
5 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
90.5%
Common 8
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
10.5%
7
 
9.2%
6
 
7.9%
5
 
6.6%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (22) 28
36.8%
Common
ValueCountFrequency (%)
5
62.5%
8 1
 
12.5%
5 1
 
12.5%
6 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
90.5%
ASCII 8
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
10.5%
7
 
9.2%
6
 
7.9%
5
 
6.6%
5
 
6.6%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
3
 
3.9%
Other values (22) 28
36.8%
ASCII
ValueCountFrequency (%)
5
62.5%
8 1
 
12.5%
5 1
 
12.5%
6 1
 
12.5%

2006-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.878571
Minimum36.9
Maximum75.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:17.969599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.9
5-th percentile48.04
Q155.175
median58.45
Q361.825
95-th percentile73.79
Maximum75.6
Range38.7
Interquartile range (IQR)6.65

Descriptive statistics

Standard deviation8.1553144
Coefficient of variation (CV)0.13851074
Kurtosis1.3667329
Mean58.878571
Median Absolute Deviation (MAD)3.5
Skewness-0.16323482
Sum1648.6
Variance66.509153
MonotonicityNot monotonic
2024-03-16T13:14:18.157334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
60.0 1
 
3.6%
53.5 1
 
3.6%
36.9 1
 
3.6%
61.0 1
 
3.6%
66.0 1
 
3.6%
49.3 1
 
3.6%
56.1 1
 
3.6%
74.0 1
 
3.6%
64.1 1
 
3.6%
58.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
36.9 1
3.6%
47.9 1
3.6%
48.3 1
3.6%
49.3 1
3.6%
53.5 1
3.6%
54.3 1
3.6%
54.5 1
3.6%
55.4 1
3.6%
56.0 1
3.6%
56.1 1
3.6%
ValueCountFrequency (%)
75.6 1
3.6%
74.0 1
3.6%
73.4 1
3.6%
66.3 1
3.6%
66.0 1
3.6%
64.1 1
3.6%
62.8 1
3.6%
61.5 1
3.6%
61.0 1
3.6%
60.8 1
3.6%

2006-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.15
Minimum36
Maximum76.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:18.284354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile47.94
Q155.275
median59.25
Q363.175
95-th percentile74.08
Maximum76.9
Range40.9
Interquartile range (IQR)7.9

Descriptive statistics

Standard deviation8.4756951
Coefficient of variation (CV)0.14329155
Kurtosis1.424299
Mean59.15
Median Absolute Deviation (MAD)4.1
Skewness-0.23397492
Sum1656.2
Variance71.837407
MonotonicityNot monotonic
2024-03-16T13:14:18.468783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
60.5 2
 
7.1%
63.7 1
 
3.6%
36.0 1
 
3.6%
65.4 1
 
3.6%
49.0 1
 
3.6%
56.6 1
 
3.6%
74.5 1
 
3.6%
65.2 1
 
3.6%
58.5 1
 
3.6%
67.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
36.0 1
3.6%
47.8 1
3.6%
48.2 1
3.6%
49.0 1
3.6%
53.0 1
3.6%
54.1 1
3.6%
54.9 1
3.6%
55.4 1
3.6%
56.1 1
3.6%
56.6 1
3.6%
ValueCountFrequency (%)
76.9 1
3.6%
74.5 1
3.6%
73.3 1
3.6%
67.2 1
3.6%
65.4 1
3.6%
65.2 1
3.6%
63.7 1
3.6%
63.0 1
3.6%
60.8 1
3.6%
60.7 1
3.6%

2006-03
Real number (ℝ)

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.771429
Minimum34.5
Maximum81.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:18.664183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.5
5-th percentile48.065
Q155.325
median60.75
Q365
95-th percentile74.22
Maximum81.9
Range47.4
Interquartile range (IQR)9.675

Descriptive statistics

Standard deviation9.1222909
Coefficient of variation (CV)0.15261959
Kurtosis1.9096026
Mean59.771429
Median Absolute Deviation (MAD)4.85
Skewness-0.16810835
Sum1673.6
Variance83.21619
MonotonicityNot monotonic
2024-03-16T13:14:18.849235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61.2 3
 
10.7%
60.9 3
 
10.7%
65.6 2
 
7.1%
72.4 1
 
3.6%
34.5 1
 
3.6%
49.5 1
 
3.6%
57.1 1
 
3.6%
75.2 1
 
3.6%
65.7 1
 
3.6%
57.6 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
34.5 1
3.6%
47.4 1
3.6%
49.3 1
3.6%
49.5 1
3.6%
52.9 1
3.6%
54.1 1
3.6%
55.1 1
3.6%
55.4 1
3.6%
56.7 1
3.6%
57.1 1
3.6%
ValueCountFrequency (%)
81.9 1
 
3.6%
75.2 1
 
3.6%
72.4 1
 
3.6%
68.0 1
 
3.6%
65.7 1
 
3.6%
65.6 2
7.1%
64.8 1
 
3.6%
61.2 3
10.7%
60.9 3
10.7%
60.6 1
 
3.6%

2006-04
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.846429
Minimum34.5
Maximum77.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:19.036200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.5
5-th percentile47.805
Q155.45
median60.7
Q365.6
95-th percentile73.555
Maximum77.3
Range42.8
Interquartile range (IQR)10.15

Descriptive statistics

Standard deviation8.8115867
Coefficient of variation (CV)0.14723663
Kurtosis1.5506087
Mean59.846429
Median Absolute Deviation (MAD)5.05
Skewness-0.53924084
Sum1675.7
Variance77.644061
MonotonicityNot monotonic
2024-03-16T13:14:19.174004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
60.7 2
 
7.1%
61.6 2
 
7.1%
65.6 2
 
7.1%
52.6 1
 
3.6%
34.5 1
 
3.6%
49.3 1
 
3.6%
57.3 1
 
3.6%
74.5 1
 
3.6%
66.5 1
 
3.6%
58.2 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
34.5 1
3.6%
47.0 1
3.6%
49.3 1
3.6%
50.0 1
3.6%
52.6 1
3.6%
54.0 1
3.6%
55.3 1
3.6%
55.5 1
3.6%
57.2 1
3.6%
57.3 1
3.6%
ValueCountFrequency (%)
77.3 1
3.6%
74.5 1
3.6%
71.8 1
3.6%
68.9 1
3.6%
67.6 1
3.6%
66.5 1
3.6%
65.6 2
7.1%
62.2 1
3.6%
61.7 1
3.6%
61.6 2
7.1%

2006-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.096429
Minimum35.1
Maximum77.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:19.304823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.1
5-th percentile48.17
Q155.575
median60.95
Q365.725
95-th percentile72.01
Maximum77.9
Range42.8
Interquartile range (IQR)10.15

Descriptive statistics

Standard deviation8.6107376
Coefficient of variation (CV)0.14328202
Kurtosis1.6650674
Mean60.096429
Median Absolute Deviation (MAD)5.2
Skewness-0.59900459
Sum1682.7
Variance74.144802
MonotonicityNot monotonic
2024-03-16T13:14:19.488683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
62.0 1
 
3.6%
52.2 1
 
3.6%
35.1 1
 
3.6%
61.0 1
 
3.6%
65.6 1
 
3.6%
50.9 1
 
3.6%
57.7 1
 
3.6%
72.5 1
 
3.6%
66.1 1
 
3.6%
59.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35.1 1
3.6%
46.7 1
3.6%
50.9 1
3.6%
51.1 1
3.6%
52.2 1
3.6%
53.8 1
3.6%
55.5 1
3.6%
55.6 1
3.6%
57.6 1
3.6%
57.7 1
3.6%
ValueCountFrequency (%)
77.9 1
3.6%
72.5 1
3.6%
71.1 1
3.6%
69.8 1
3.6%
67.8 1
3.6%
66.2 1
3.6%
66.1 1
3.6%
65.6 1
3.6%
62.8 1
3.6%
62.3 1
3.6%

2006-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.764286
Minimum36.2
Maximum81.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:19.736535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.2
5-th percentile48.65
Q155.925
median61.25
Q366.275
95-th percentile73.3
Maximum81.3
Range45.1
Interquartile range (IQR)10.35

Descriptive statistics

Standard deviation8.7798681
Coefficient of variation (CV)0.1444906
Kurtosis1.7578571
Mean60.764286
Median Absolute Deviation (MAD)5.25
Skewness-0.33053934
Sum1701.4
Variance77.086085
MonotonicityNot monotonic
2024-03-16T13:14:19.916226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
59.8 2
 
7.1%
62.5 1
 
3.6%
52.9 1
 
3.6%
36.2 1
 
3.6%
61.0 1
 
3.6%
67.8 1
 
3.6%
51.9 1
 
3.6%
58.8 1
 
3.6%
74.7 1
 
3.6%
66.7 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
36.2 1
3.6%
46.9 1
3.6%
51.9 1
3.6%
52.6 1
3.6%
52.9 1
3.6%
54.2 1
3.6%
55.7 1
3.6%
56.0 1
3.6%
58.4 1
3.6%
58.6 1
3.6%
ValueCountFrequency (%)
81.3 1
3.6%
74.7 1
3.6%
70.7 1
3.6%
70.3 1
3.6%
67.8 1
3.6%
66.7 1
3.6%
66.5 1
3.6%
66.2 1
3.6%
63.4 1
3.6%
62.8 1
3.6%

2006-07
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.703571
Minimum36.7
Maximum76.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:20.113873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.7
5-th percentile48.62
Q155.9
median61.5
Q366.575
95-th percentile73.495
Maximum76.3
Range39.6
Interquartile range (IQR)10.675

Descriptive statistics

Standard deviation8.4026663
Coefficient of variation (CV)0.13842128
Kurtosis1.3827764
Mean60.703571
Median Absolute Deviation (MAD)5.45
Skewness-0.59788218
Sum1699.7
Variance70.604802
MonotonicityNot monotonic
2024-03-16T13:14:20.280597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
55.9 2
 
7.1%
62.2 2
 
7.1%
62.6 1
 
3.6%
53.0 1
 
3.6%
36.7 1
 
3.6%
60.8 1
 
3.6%
67.9 1
 
3.6%
52.0 1
 
3.6%
58.7 1
 
3.6%
75.0 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
36.7 1
3.6%
46.8 1
3.6%
52.0 1
3.6%
53.0 1
3.6%
53.1 1
3.6%
54.1 1
3.6%
55.9 2
7.1%
58.2 1
3.6%
58.5 1
3.6%
58.7 1
3.6%
ValueCountFrequency (%)
76.3 1
3.6%
75.0 1
3.6%
70.7 1
3.6%
70.3 1
3.6%
67.9 1
3.6%
67.1 1
3.6%
66.8 1
3.6%
66.5 1
3.6%
64.0 1
3.6%
63.5 1
3.6%

2006-08
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.175
Minimum37.1
Maximum74.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:20.451668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.1
5-th percentile49
Q156.4
median62.4
Q366.875
95-th percentile72.355
Maximum74.6
Range37.5
Interquartile range (IQR)10.475

Descriptive statistics

Standard deviation8.1874622
Coefficient of variation (CV)0.13383673
Kurtosis1.4862952
Mean61.175
Median Absolute Deviation (MAD)5.2
Skewness-0.83709421
Sum1712.9
Variance67.034537
MonotonicityNot monotonic
2024-03-16T13:14:20.616921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
56.4 2
 
7.1%
59.4 2
 
7.1%
63.5 1
 
3.6%
70.6 1
 
3.6%
37.1 1
 
3.6%
61.9 1
 
3.6%
69.1 1
 
3.6%
52.9 1
 
3.6%
74.6 1
 
3.6%
66.7 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
37.1 1
3.6%
46.9 1
3.6%
52.9 1
3.6%
53.4 1
3.6%
53.9 1
3.6%
54.5 1
3.6%
56.4 2
7.1%
58.8 1
3.6%
59.1 1
3.6%
59.4 2
7.1%
ValueCountFrequency (%)
74.6 1
3.6%
72.6 1
3.6%
71.9 1
3.6%
70.6 1
3.6%
69.1 1
3.6%
67.8 1
3.6%
67.4 1
3.6%
66.7 1
3.6%
65.3 1
3.6%
64.3 1
3.6%

2006-09
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.878571
Minimum37.2
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:20.804454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.2
5-th percentile49
Q157.2
median62.65
Q367.525
95-th percentile73.305
Maximum75
Range37.8
Interquartile range (IQR)10.325

Descriptive statistics

Standard deviation8.3745362
Coefficient of variation (CV)0.13533823
Kurtosis1.4972973
Mean61.878571
Median Absolute Deviation (MAD)5.55
Skewness-0.88873386
Sum1732.6
Variance70.132857
MonotonicityNot monotonic
2024-03-16T13:14:21.001825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
64.2 2
 
7.1%
64.6 1
 
3.6%
70.5 1
 
3.6%
37.2 1
 
3.6%
62.1 1
 
3.6%
70.0 1
 
3.6%
52.9 1
 
3.6%
59.8 1
 
3.6%
75.0 1
 
3.6%
66.7 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.2 1
3.6%
46.9 1
3.6%
52.9 1
3.6%
53.3 1
3.6%
54.9 1
3.6%
56.5 1
3.6%
56.9 1
3.6%
57.3 1
3.6%
59.2 1
3.6%
59.3 1
3.6%
ValueCountFrequency (%)
75.0 1
3.6%
73.9 1
3.6%
72.2 1
3.6%
70.5 1
3.6%
70.0 1
3.6%
69.4 1
3.6%
69.1 1
3.6%
67.0 1
3.6%
66.7 1
3.6%
65.9 1
3.6%

2006-10
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.196429
Minimum37.2
Maximum78.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:21.482770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.2
5-th percentile49.235
Q159.1
median63.4
Q370.125
95-th percentile74.12
Maximum78.7
Range41.5
Interquartile range (IQR)11.025

Descriptive statistics

Standard deviation9.0322665
Coefficient of variation (CV)0.14292369
Kurtosis1.2324722
Mean63.196429
Median Absolute Deviation (MAD)5.3
Skewness-0.81042729
Sum1769.5
Variance81.581839
MonotonicityNot monotonic
2024-03-16T13:14:21.657113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
67.2 2
 
7.1%
63.4 2
 
7.1%
59.4 2
 
7.1%
70.4 1
 
3.6%
37.2 1
 
3.6%
62.2 1
 
3.6%
70.1 1
 
3.6%
53.2 1
 
3.6%
60.6 1
 
3.6%
74.4 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
37.2 1
3.6%
47.1 1
3.6%
53.2 1
3.6%
53.7 1
3.6%
55.4 1
3.6%
57.8 1
3.6%
58.5 1
3.6%
59.3 1
3.6%
59.4 2
7.1%
59.5 1
3.6%
ValueCountFrequency (%)
78.7 1
3.6%
74.4 1
3.6%
73.6 1
3.6%
73.3 1
3.6%
72.9 1
3.6%
70.4 1
3.6%
70.2 1
3.6%
70.1 1
3.6%
68.4 1
3.6%
67.2 2
7.1%

2006-11
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.660714
Minimum39.2
Maximum83.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:21.839207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.2
5-th percentile49.37
Q159.275
median64.6
Q371.1
95-th percentile77.2
Maximum83.7
Range44.5
Interquartile range (IQR)11.825

Descriptive statistics

Standard deviation9.7120902
Coefficient of variation (CV)0.15020079
Kurtosis0.58496517
Mean64.660714
Median Absolute Deviation (MAD)6.05
Skewness-0.51332989
Sum1810.5
Variance94.324696
MonotonicityNot monotonic
2024-03-16T13:14:22.024363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
63.2 2
 
7.1%
71.1 2
 
7.1%
77.2 2
 
7.1%
69.9 1
 
3.6%
53.4 1
 
3.6%
39.2 1
 
3.6%
54.1 1
 
3.6%
61.0 1
 
3.6%
74.2 1
 
3.6%
66.5 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
39.2 1
3.6%
47.2 1
3.6%
53.4 1
3.6%
54.1 1
3.6%
55.8 1
3.6%
58.5 1
3.6%
58.9 1
3.6%
59.4 1
3.6%
59.9 1
3.6%
60.2 1
3.6%
ValueCountFrequency (%)
83.7 1
3.6%
77.2 2
7.1%
74.2 1
3.6%
73.5 1
3.6%
73.2 1
3.6%
71.1 2
7.1%
70.6 1
3.6%
70.1 1
3.6%
69.9 1
3.6%
69.0 1
3.6%

2006-12
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.921429
Minimum37.1
Maximum85.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:22.176504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.1
5-th percentile49.1
Q159.3
median66.55
Q371.275
95-th percentile78.295
Maximum85.4
Range48.3
Interquartile range (IQR)11.975

Descriptive statistics

Standard deviation10.228513
Coefficient of variation (CV)0.15755219
Kurtosis0.90480471
Mean64.921429
Median Absolute Deviation (MAD)6.25
Skewness-0.59324446
Sum1817.8
Variance104.62249
MonotonicityNot monotonic
2024-03-16T13:14:22.343613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
70.8 2
 
7.1%
70.9 1
 
3.6%
53.0 1
 
3.6%
37.1 1
 
3.6%
63.3 1
 
3.6%
54.0 1
 
3.6%
60.8 1
 
3.6%
73.3 1
 
3.6%
66.5 1
 
3.6%
57.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.1 1
3.6%
47.0 1
3.6%
53.0 1
3.6%
54.0 1
3.6%
55.6 1
3.6%
57.6 1
3.6%
59.0 1
3.6%
59.4 1
3.6%
59.6 1
3.6%
60.8 1
3.6%
ValueCountFrequency (%)
85.4 1
3.6%
79.1 1
3.6%
76.8 1
3.6%
74.2 1
3.6%
73.3 1
3.6%
72.3 1
3.6%
71.5 1
3.6%
71.2 1
3.6%
70.9 1
3.6%
70.8 2
7.1%

2007-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.139286
Minimum37.5
Maximum86.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:22.506000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.5
5-th percentile49.705
Q160.35
median67.6
Q373.3
95-th percentile79.27
Maximum86.9
Range49.4
Interquartile range (IQR)12.95

Descriptive statistics

Standard deviation10.420185
Coefficient of variation (CV)0.1575491
Kurtosis1.0013583
Mean66.139286
Median Absolute Deviation (MAD)6.8
Skewness-0.64811986
Sum1851.9
Variance108.58025
MonotonicityNot monotonic
2024-03-16T13:14:22.647162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
60.7 2
 
7.1%
72.0 1
 
3.6%
70.9 1
 
3.6%
37.5 1
 
3.6%
64.0 1
 
3.6%
72.8 1
 
3.6%
55.7 1
 
3.6%
61.7 1
 
3.6%
74.9 1
 
3.6%
67.4 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.5 1
3.6%
47.5 1
3.6%
53.8 1
3.6%
55.7 1
3.6%
56.6 1
3.6%
58.8 1
3.6%
59.3 1
3.6%
60.7 2
7.1%
61.7 1
3.6%
64.0 1
3.6%
ValueCountFrequency (%)
86.9 1
3.6%
80.6 1
3.6%
76.8 1
3.6%
74.9 1
3.6%
74.7 1
3.6%
74.3 1
3.6%
73.6 1
3.6%
73.2 1
3.6%
72.8 1
3.6%
72.0 1
3.6%

2007-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.092857
Minimum36.4
Maximum86.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:22.769508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.4
5-th percentile49.745
Q160.4
median67.6
Q373.425
95-th percentile78.96
Maximum86.9
Range50.5
Interquartile range (IQR)13.025

Descriptive statistics

Standard deviation10.470308
Coefficient of variation (CV)0.15841815
Kurtosis1.3098179
Mean66.092857
Median Absolute Deviation (MAD)6.7
Skewness-0.73009466
Sum1850.6
Variance109.62735
MonotonicityNot monotonic
2024-03-16T13:14:22.919849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
60.8 2
 
7.1%
71.9 1
 
3.6%
70.4 1
 
3.6%
36.4 1
 
3.6%
63.7 1
 
3.6%
73.2 1
 
3.6%
55.7 1
 
3.6%
62.2 1
 
3.6%
75.0 1
 
3.6%
67.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
36.4 1
3.6%
47.4 1
3.6%
54.1 1
3.6%
55.7 1
3.6%
56.6 1
3.6%
58.9 1
3.6%
59.2 1
3.6%
60.8 2
7.1%
62.2 1
3.6%
63.7 1
3.6%
ValueCountFrequency (%)
86.9 1
3.6%
80.5 1
3.6%
76.1 1
3.6%
75.0 1
3.6%
74.7 1
3.6%
74.2 1
3.6%
74.1 1
3.6%
73.2 1
3.6%
73.0 1
3.6%
71.9 1
3.6%

2007-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.525
Minimum37.6
Maximum87.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:23.039090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile49.905
Q160.525
median68.1
Q374.2
95-th percentile79.21
Maximum87.3
Range49.7
Interquartile range (IQR)13.675

Descriptive statistics

Standard deviation10.523681
Coefficient of variation (CV)0.15819138
Kurtosis0.97382359
Mean66.525
Median Absolute Deviation (MAD)7.05
Skewness-0.66827674
Sum1862.7
Variance110.74787
MonotonicityNot monotonic
2024-03-16T13:14:23.194867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
75.2 2
 
7.1%
72.2 1
 
3.6%
81.1 1
 
3.6%
37.6 1
 
3.6%
64.0 1
 
3.6%
73.9 1
 
3.6%
56.0 1
 
3.6%
62.0 1
 
3.6%
67.1 1
 
3.6%
58.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.6 1
3.6%
47.7 1
3.6%
54.0 1
3.6%
56.0 1
3.6%
56.9 1
3.6%
58.5 1
3.6%
59.1 1
3.6%
61.0 1
3.6%
61.3 1
3.6%
62.0 1
3.6%
ValueCountFrequency (%)
87.3 1
3.6%
81.1 1
3.6%
75.7 1
3.6%
75.6 1
3.6%
75.2 2
7.1%
75.1 1
3.6%
73.9 1
3.6%
73.6 1
3.6%
72.2 1
3.6%
71.9 1
3.6%

2007-04
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.539286
Minimum37.6
Maximum87.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:23.342624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.6
5-th percentile49.935
Q160.5
median68.35
Q374
95-th percentile79.25
Maximum87.2
Range49.6
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation10.449999
Coefficient of variation (CV)0.15705006
Kurtosis1.0582083
Mean66.539286
Median Absolute Deviation (MAD)6.55
Skewness-0.69171177
Sum1863.1
Variance109.20247
MonotonicityNot monotonic
2024-03-16T13:14:23.491631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
56.8 2
 
7.1%
69.2 2
 
7.1%
74.3 2
 
7.1%
72.1 1
 
3.6%
76.0 1
 
3.6%
37.6 1
 
3.6%
64.1 1
 
3.6%
62.2 1
 
3.6%
75.7 1
 
3.6%
67.5 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
37.6 1
3.6%
47.8 1
3.6%
53.9 1
3.6%
56.8 2
7.1%
58.6 1
3.6%
58.7 1
3.6%
61.1 1
3.6%
61.4 1
3.6%
62.2 1
3.6%
64.1 1
3.6%
ValueCountFrequency (%)
87.2 1
3.6%
81.0 1
3.6%
76.0 1
3.6%
75.7 1
3.6%
75.5 1
3.6%
74.3 2
7.1%
73.9 1
3.6%
73.3 1
3.6%
72.2 1
3.6%
72.1 1
3.6%

2007-05
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.139286
Minimum37.9
Maximum86.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:23.613153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.9
5-th percentile49.7
Q160.25
median67.7
Q372.95
95-th percentile79.38
Maximum86.4
Range48.5
Interquartile range (IQR)12.7

Descriptive statistics

Standard deviation10.348066
Coefficient of variation (CV)0.15645869
Kurtosis0.91146759
Mean66.139286
Median Absolute Deviation (MAD)6.35
Skewness-0.65618585
Sum1851.9
Variance107.08247
MonotonicityNot monotonic
2024-03-16T13:14:23.733120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
56.1 2
 
7.1%
71.6 1
 
3.6%
53.6 1
 
3.6%
37.9 1
 
3.6%
64.2 1
 
3.6%
74.0 1
 
3.6%
62.3 1
 
3.6%
75.1 1
 
3.6%
66.9 1
 
3.6%
58.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.9 1
3.6%
47.6 1
3.6%
53.6 1
3.6%
56.1 2
7.1%
57.8 1
3.6%
58.9 1
3.6%
60.7 1
3.6%
61.3 1
3.6%
62.3 1
3.6%
64.2 1
3.6%
ValueCountFrequency (%)
86.4 1
3.6%
80.5 1
3.6%
77.3 1
3.6%
75.1 1
3.6%
74.6 1
3.6%
74.0 1
3.6%
73.4 1
3.6%
72.8 1
3.6%
72.7 1
3.6%
72.5 1
3.6%

2007-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.567857
Minimum37.4
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:23.885248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.4
5-th percentile49.795
Q160.25
median67.65
Q373.55
95-th percentile80.35
Maximum87
Range49.6
Interquartile range (IQR)13.3

Descriptive statistics

Standard deviation10.65715
Coefficient of variation (CV)0.16009454
Kurtosis0.86789191
Mean66.567857
Median Absolute Deviation (MAD)6.5
Skewness-0.6575805
Sum1863.9
Variance113.57485
MonotonicityNot monotonic
2024-03-16T13:14:24.053397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
73.5 2
 
7.1%
72.1 1
 
3.6%
81.4 1
 
3.6%
37.4 1
 
3.6%
64.3 1
 
3.6%
57.2 1
 
3.6%
62.7 1
 
3.6%
75.5 1
 
3.6%
65.9 1
 
3.6%
58.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.4 1
3.6%
47.8 1
3.6%
53.5 1
3.6%
56.2 1
3.6%
57.2 1
3.6%
57.6 1
3.6%
58.9 1
3.6%
60.7 1
3.6%
61.7 1
3.6%
62.7 1
3.6%
ValueCountFrequency (%)
87.0 1
3.6%
81.4 1
3.6%
78.4 1
3.6%
75.7 1
3.6%
75.5 1
3.6%
75.2 1
3.6%
73.7 1
3.6%
73.5 2
7.1%
73.2 1
3.6%
72.1 1
3.6%

2007-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.957143
Minimum38
Maximum88.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:24.198961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile49.995
Q160.375
median67.65
Q374.325
95-th percentile81.455
Maximum88.2
Range50.2
Interquartile range (IQR)13.95

Descriptive statistics

Standard deviation10.835758
Coefficient of variation (CV)0.16183125
Kurtosis0.70904991
Mean66.957143
Median Absolute Deviation (MAD)6.8
Skewness-0.56662087
Sum1874.8
Variance117.41365
MonotonicityNot monotonic
2024-03-16T13:14:24.362680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
57.7 2
 
7.1%
72.6 1
 
3.6%
53.7 1
 
3.6%
38.0 1
 
3.6%
64.2 1
 
3.6%
73.2 1
 
3.6%
62.8 1
 
3.6%
75.9 1
 
3.6%
66.3 1
 
3.6%
59.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
38.0 1
3.6%
48.0 1
3.6%
53.7 1
3.6%
56.2 1
3.6%
57.7 2
7.1%
59.1 1
3.6%
60.8 1
3.6%
62.1 1
3.6%
62.8 1
3.6%
64.2 1
3.6%
ValueCountFrequency (%)
88.2 1
3.6%
82.4 1
3.6%
79.7 1
3.6%
76.0 1
3.6%
75.9 1
3.6%
75.4 1
3.6%
74.4 1
3.6%
74.3 1
3.6%
73.6 1
3.6%
73.2 1
3.6%

2007-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.371429
Minimum37.9
Maximum89.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:24.541246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.9
5-th percentile50.06
Q160.475
median67.8
Q375.05
95-th percentile82.7
Maximum89.3
Range51.4
Interquartile range (IQR)14.575

Descriptive statistics

Standard deviation11.20935
Coefficient of variation (CV)0.16638136
Kurtosis0.56265646
Mean67.371429
Median Absolute Deviation (MAD)7.5
Skewness-0.50972966
Sum1886.4
Variance125.64952
MonotonicityNot monotonic
2024-03-16T13:14:24.699797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
62.6 2
 
7.1%
73.2 1
 
3.6%
53.7 1
 
3.6%
37.9 1
 
3.6%
64.6 1
 
3.6%
73.3 1
 
3.6%
57.5 1
 
3.6%
76.0 1
 
3.6%
66.4 1
 
3.6%
59.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
37.9 1
3.6%
48.1 1
3.6%
53.7 1
3.6%
56.3 1
3.6%
57.4 1
3.6%
57.5 1
3.6%
59.2 1
3.6%
60.9 1
3.6%
62.6 2
7.1%
64.6 1
3.6%
ValueCountFrequency (%)
89.3 1
3.6%
83.4 1
3.6%
81.4 1
3.6%
77.1 1
3.6%
76.6 1
3.6%
76.0 1
3.6%
75.8 1
3.6%
74.8 1
3.6%
73.8 1
3.6%
73.3 1
3.6%

2007-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.864286
Minimum38.4
Maximum89.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:24.834820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.4
5-th percentile50.46
Q160.775
median68.15
Q375.5
95-th percentile83.545
Maximum89.9
Range51.5
Interquartile range (IQR)14.725

Descriptive statistics

Standard deviation11.298122
Coefficient of variation (CV)0.16648112
Kurtosis0.4987911
Mean67.864286
Median Absolute Deviation (MAD)7.45
Skewness-0.49104228
Sum1900.2
Variance127.64757
MonotonicityNot monotonic
2024-03-16T13:14:25.053183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
73.7 1
 
3.6%
54.1 1
 
3.6%
38.4 1
 
3.6%
65.2 1
 
3.6%
73.8 1
 
3.6%
58.0 1
 
3.6%
63.1 1
 
3.6%
76.6 1
 
3.6%
66.8 1
 
3.6%
59.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
38.4 1
3.6%
48.5 1
3.6%
54.1 1
3.6%
56.5 1
3.6%
57.6 1
3.6%
58.0 1
3.6%
59.5 1
3.6%
61.2 1
3.6%
63.1 1
3.6%
63.2 1
3.6%
ValueCountFrequency (%)
89.9 1
3.6%
84.0 1
3.6%
82.7 1
3.6%
77.0 1
3.6%
76.8 1
3.6%
76.6 1
3.6%
75.8 1
3.6%
75.4 1
3.6%
75.2 1
3.6%
73.8 1
3.6%

2007-10
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.207143
Minimum39.2
Maximum90.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:25.502260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.2
5-th percentile50.585
Q160.775
median68.2
Q375.45
95-th percentile84.6
Maximum90.3
Range51.1
Interquartile range (IQR)14.675

Descriptive statistics

Standard deviation11.435323
Coefficient of variation (CV)0.1676558
Kurtosis0.31704018
Mean68.207143
Median Absolute Deviation (MAD)7.3
Skewness-0.41340113
Sum1909.8
Variance130.76661
MonotonicityNot monotonic
2024-03-16T13:14:26.098915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84.6 2
 
7.1%
74.0 1
 
3.6%
39.2 1
 
3.6%
65.8 1
 
3.6%
73.7 1
 
3.6%
58.9 1
 
3.6%
63.3 1
 
3.6%
76.5 1
 
3.6%
66.6 1
 
3.6%
59.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
39.2 1
3.6%
48.8 1
3.6%
53.9 1
3.6%
56.5 1
3.6%
57.7 1
3.6%
58.9 1
3.6%
59.2 1
3.6%
61.3 1
3.6%
63.3 1
3.6%
63.7 1
3.6%
ValueCountFrequency (%)
90.3 1
3.6%
84.6 2
7.1%
79.2 1
3.6%
77.2 1
3.6%
76.5 1
3.6%
75.6 1
3.6%
75.4 1
3.6%
75.1 1
3.6%
74.1 1
3.6%
74.0 1
3.6%

2007-11
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.103571
Minimum38.9
Maximum90.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:26.597298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.9
5-th percentile50.62
Q160.9
median68.15
Q374.85
95-th percentile85.415
Maximum90.2
Range51.3
Interquartile range (IQR)13.95

Descriptive statistics

Standard deviation11.483369
Coefficient of variation (CV)0.16861625
Kurtosis0.36939251
Mean68.103571
Median Absolute Deviation (MAD)7.15
Skewness-0.39156444
Sum1906.9
Variance131.86776
MonotonicityNot monotonic
2024-03-16T13:14:27.112508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
66.1 2
 
7.1%
74.4 2
 
7.1%
74.0 1
 
3.6%
69.4 1
 
3.6%
38.9 1
 
3.6%
72.9 1
 
3.6%
59.7 1
 
3.6%
63.6 1
 
3.6%
77.0 1
 
3.6%
66.9 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
38.9 1
3.6%
48.8 1
3.6%
54.0 1
3.6%
56.3 1
3.6%
57.3 1
3.6%
58.2 1
3.6%
59.7 1
3.6%
61.3 1
3.6%
63.6 1
3.6%
63.8 1
3.6%
ValueCountFrequency (%)
90.2 1
3.6%
85.8 1
3.6%
84.7 1
3.6%
78.3 1
3.6%
77.3 1
3.6%
77.0 1
3.6%
75.6 1
3.6%
74.6 1
3.6%
74.4 2
7.1%
74.0 1
3.6%

2007-12
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.3
Minimum38.9
Maximum90.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:27.327227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.9
5-th percentile50.55
Q160.95
median68.35
Q375.55
95-th percentile85.75
Maximum90.6
Range51.7
Interquartile range (IQR)14.6

Descriptive statistics

Standard deviation11.621245
Coefficient of variation (CV)0.17015
Kurtosis0.31859076
Mean68.3
Median Absolute Deviation (MAD)7.4
Skewness-0.38604013
Sum1912.4
Variance135.05333
MonotonicityNot monotonic
2024-03-16T13:14:27.554369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
66.0 2
 
7.1%
74.1 1
 
3.6%
53.8 1
 
3.6%
38.9 1
 
3.6%
71.9 1
 
3.6%
60.2 1
 
3.6%
63.9 1
 
3.6%
76.8 1
 
3.6%
66.9 1
 
3.6%
58.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
38.9 1
3.6%
48.8 1
3.6%
53.8 1
3.6%
56.3 1
3.6%
57.3 1
3.6%
58.5 1
3.6%
60.2 1
3.6%
61.2 1
3.6%
63.8 1
3.6%
63.9 1
3.6%
ValueCountFrequency (%)
90.6 1
3.6%
86.1 1
3.6%
85.1 1
3.6%
78.4 1
3.6%
77.6 1
3.6%
76.8 1
3.6%
76.0 1
3.6%
75.4 1
3.6%
75.0 1
3.6%
74.9 1
3.6%

2008-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.939286
Minimum39.2
Maximum91.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:27.891597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.2
5-th percentile50.88
Q161.65
median68.85
Q377.025
95-th percentile87.305
Maximum91.5
Range52.3
Interquartile range (IQR)15.375

Descriptive statistics

Standard deviation11.835895
Coefficient of variation (CV)0.17168577
Kurtosis0.30266662
Mean68.939286
Median Absolute Deviation (MAD)7.85
Skewness-0.36091927
Sum1930.3
Variance140.0884
MonotonicityNot monotonic
2024-03-16T13:14:28.103620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
64.5 2
 
7.1%
74.9 1
 
3.6%
54.0 1
 
3.6%
39.2 1
 
3.6%
66.4 1
 
3.6%
73.2 1
 
3.6%
61.5 1
 
3.6%
77.0 1
 
3.6%
67.5 1
 
3.6%
58.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
39.2 1
3.6%
49.2 1
3.6%
54.0 1
3.6%
56.6 1
3.6%
57.4 1
3.6%
58.8 1
3.6%
61.5 1
3.6%
61.7 1
3.6%
64.5 2
7.1%
64.9 1
3.6%
ValueCountFrequency (%)
91.5 1
3.6%
87.9 1
3.6%
86.2 1
3.6%
78.4 1
3.6%
78.3 1
3.6%
77.2 1
3.6%
77.1 1
3.6%
77.0 1
3.6%
76.4 1
3.6%
75.7 1
3.6%

2008-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.535714
Minimum38.9
Maximum92.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:28.284984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.9
5-th percentile51.215
Q162.525
median69.05
Q377.875
95-th percentile87.945
Maximum92.3
Range53.4
Interquartile range (IQR)15.35

Descriptive statistics

Standard deviation12.147617
Coefficient of variation (CV)0.17469609
Kurtosis0.24504058
Mean69.535714
Median Absolute Deviation (MAD)8.6
Skewness-0.38309055
Sum1947
Variance147.5646
MonotonicityNot monotonic
2024-03-16T13:14:28.526925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
75.5 1
 
3.6%
54.4 1
 
3.6%
38.9 1
 
3.6%
66.7 1
 
3.6%
73.6 1
 
3.6%
62.7 1
 
3.6%
64.9 1
 
3.6%
77.6 1
 
3.6%
68.0 1
 
3.6%
59.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
38.9 1
3.6%
49.5 1
3.6%
54.4 1
3.6%
56.7 1
3.6%
57.3 1
3.6%
59.2 1
3.6%
62.0 1
3.6%
62.7 1
3.6%
64.7 1
3.6%
64.8 1
3.6%
ValueCountFrequency (%)
92.3 1
3.6%
88.4 1
3.6%
87.1 1
3.6%
79.5 1
3.6%
79.3 1
3.6%
78.8 1
3.6%
78.4 1
3.6%
77.7 1
3.6%
77.6 1
3.6%
76.0 1
3.6%

2008-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.478571
Minimum39.9
Maximum93.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:28.736806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.9
5-th percentile51.715
Q163.25
median69.35
Q379.85
95-th percentile90.365
Maximum93.8
Range53.9
Interquartile range (IQR)16.6

Descriptive statistics

Standard deviation12.640393
Coefficient of variation (CV)0.17935086
Kurtosis0.013044211
Mean70.478571
Median Absolute Deviation (MAD)9.5
Skewness-0.26649426
Sum1973.4
Variance159.77952
MonotonicityNot monotonic
2024-03-16T13:14:28.937790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
80.5 2
 
7.1%
76.7 1
 
3.6%
70.3 1
 
3.6%
39.9 1
 
3.6%
67.3 1
 
3.6%
74.1 1
 
3.6%
63.5 1
 
3.6%
65.9 1
 
3.6%
78.0 1
 
3.6%
68.4 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
39.9 1
3.6%
50.0 1
3.6%
54.9 1
3.6%
57.1 1
3.6%
57.5 1
3.6%
58.9 1
3.6%
62.5 1
3.6%
63.5 1
3.6%
65.3 1
3.6%
65.7 1
3.6%
ValueCountFrequency (%)
93.8 1
3.6%
91.1 1
3.6%
89.0 1
3.6%
83.7 1
3.6%
80.5 2
7.1%
80.3 1
3.6%
79.7 1
3.6%
78.0 1
3.6%
76.7 1
3.6%
76.3 1
3.6%

2008-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.328571
Minimum39.5
Maximum95.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:29.157674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile52.14
Q163.825
median69.55
Q381.7
95-th percentile92.785
Maximum95.4
Range55.9
Interquartile range (IQR)17.875

Descriptive statistics

Standard deviation13.379555
Coefficient of variation (CV)0.18757637
Kurtosis-0.10130219
Mean71.328571
Median Absolute Deviation (MAD)9.75
Skewness-0.18925683
Sum1997.2
Variance179.01249
MonotonicityNot monotonic
2024-03-16T13:14:29.358393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
77.8 1
 
3.6%
55.0 1
 
3.6%
39.5 1
 
3.6%
67.4 1
 
3.6%
73.9 1
 
3.6%
64.2 1
 
3.6%
66.8 1
 
3.6%
78.3 1
 
3.6%
68.3 1
 
3.6%
58.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
39.5 1
3.6%
50.6 1
3.6%
55.0 1
3.6%
57.4 1
3.6%
57.5 1
3.6%
58.8 1
3.6%
62.7 1
3.6%
64.2 1
3.6%
65.3 1
3.6%
66.6 1
3.6%
ValueCountFrequency (%)
95.4 1
3.6%
93.8 1
3.6%
90.9 1
3.6%
87.8 1
3.6%
82.3 1
3.6%
82.1 1
3.6%
82.0 1
3.6%
81.6 1
3.6%
78.3 1
3.6%
77.8 1
3.6%

2008-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.967857
Minimum39.9
Maximum96.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:29.538749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.9
5-th percentile52.305
Q164.575
median69.85
Q383.325
95-th percentile94.77
Maximum96.8
Range56.9
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation13.845899
Coefficient of variation (CV)0.19239005
Kurtosis-0.17440332
Mean71.967857
Median Absolute Deviation (MAD)9.75
Skewness-0.10207876
Sum2015.1
Variance191.70893
MonotonicityNot monotonic
2024-03-16T13:14:29.718775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
78.7 1
 
3.6%
55.1 1
 
3.6%
39.9 1
 
3.6%
67.9 1
 
3.6%
73.5 1
 
3.6%
65.9 1
 
3.6%
67.4 1
 
3.6%
79.0 1
 
3.6%
68.9 1
 
3.6%
59.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
39.9 1
3.6%
50.8 1
3.6%
55.1 1
3.6%
57.2 1
3.6%
57.4 1
3.6%
59.5 1
3.6%
63.0 1
3.6%
65.1 1
3.6%
65.9 1
3.6%
67.3 1
3.6%
ValueCountFrequency (%)
96.8 1
3.6%
96.1 1
3.6%
92.3 1
3.6%
89.7 1
3.6%
83.9 1
3.6%
83.7 1
3.6%
83.4 1
3.6%
83.3 1
3.6%
79.0 1
3.6%
78.7 1
3.6%

2008-06
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.621429
Minimum40.8
Maximum99.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:29.990023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.8
5-th percentile52.5
Q164.5
median70.25
Q383.65
95-th percentile96.16
Maximum99.2
Range58.4
Interquartile range (IQR)19.15

Descriptive statistics

Standard deviation14.179546
Coefficient of variation (CV)0.19525292
Kurtosis-0.2300116
Mean72.621429
Median Absolute Deviation (MAD)9.65
Skewness-0.031877968
Sum2033.4
Variance201.05952
MonotonicityNot monotonic
2024-03-16T13:14:30.199500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
79.3 1
 
3.6%
55.1 1
 
3.6%
40.8 1
 
3.6%
68.3 1
 
3.6%
73.6 1
 
3.6%
65.7 1
 
3.6%
68.5 1
 
3.6%
80.2 1
 
3.6%
69.5 1
 
3.6%
60.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.8 1
3.6%
51.1 1
3.6%
55.1 1
3.6%
56.9 1
3.6%
57.4 1
3.6%
60.9 1
3.6%
63.3 1
3.6%
64.9 1
3.6%
65.7 1
3.6%
68.2 1
3.6%
ValueCountFrequency (%)
99.2 1
3.6%
97.7 1
3.6%
93.3 1
3.6%
90.0 1
3.6%
86.0 1
3.6%
84.5 1
3.6%
83.8 1
3.6%
83.6 1
3.6%
80.2 1
3.6%
79.3 1
3.6%

2008-07
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.55
Minimum39.5
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:30.372517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile52.6
Q164.35
median70.6
Q382.9
95-th percentile96.26
Maximum101
Range61.5
Interquartile range (IQR)18.55

Descriptive statistics

Standard deviation14.284503
Coefficient of variation (CV)0.19689185
Kurtosis0.02761144
Mean72.55
Median Absolute Deviation (MAD)9.75
Skewness-0.011752949
Sum2031.4
Variance204.04704
MonotonicityNot monotonic
2024-03-16T13:14:30.579887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
79.4 1
 
3.6%
55.2 1
 
3.6%
39.5 1
 
3.6%
68.9 1
 
3.6%
73.9 1
 
3.6%
65.5 1
 
3.6%
69.8 1
 
3.6%
81.3 1
 
3.6%
69.4 1
 
3.6%
61.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
39.5 1
3.6%
51.2 1
3.6%
55.2 1
3.6%
56.9 1
3.6%
57.5 1
3.6%
61.8 1
3.6%
63.6 1
3.6%
64.6 1
3.6%
65.5 1
3.6%
68.6 1
3.6%
ValueCountFrequency (%)
101.0 1
3.6%
97.8 1
3.6%
93.4 1
3.6%
90.4 1
3.6%
84.4 1
3.6%
84.3 1
3.6%
83.2 1
3.6%
82.8 1
3.6%
81.3 1
3.6%
79.4 1
3.6%

2008-08
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.835714
Minimum39.5
Maximum102.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:31.307807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.5
5-th percentile53
Q164.2
median70.75
Q383.075
95-th percentile95.635
Maximum102.1
Range62.6
Interquartile range (IQR)18.875

Descriptive statistics

Standard deviation14.271474
Coefficient of variation (CV)0.19594061
Kurtosis0.062391749
Mean72.835714
Median Absolute Deviation (MAD)10.15
Skewness-0.045892609
Sum2039.4
Variance203.67497
MonotonicityNot monotonic
2024-03-16T13:14:31.524904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
79.3 1
 
3.6%
55.6 1
 
3.6%
39.5 1
 
3.6%
69.3 1
 
3.6%
74.8 1
 
3.6%
66.4 1
 
3.6%
70.1 1
 
3.6%
82.5 1
 
3.6%
69.0 1
 
3.6%
62.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
39.5 1
3.6%
51.6 1
3.6%
55.6 1
3.6%
56.6 1
3.6%
57.6 1
3.6%
62.5 1
3.6%
63.9 1
3.6%
64.3 1
3.6%
66.4 1
3.6%
68.9 1
3.6%
ValueCountFrequency (%)
102.1 1
3.6%
97.0 1
3.6%
93.1 1
3.6%
89.5 1
3.6%
84.7 1
3.6%
84.6 1
3.6%
84.5 1
3.6%
82.6 1
3.6%
82.5 1
3.6%
79.3 1
3.6%

2008-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.360714
Minimum40
Maximum102.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:31.730682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile53
Q163.975
median70.95
Q381.15
95-th percentile94.7
Maximum102.7
Range62.7
Interquartile range (IQR)17.175

Descriptive statistics

Standard deviation13.867851
Coefficient of variation (CV)0.19164889
Kurtosis0.29373971
Mean72.360714
Median Absolute Deviation (MAD)8.8
Skewness0.0023004718
Sum2026.1
Variance192.31729
MonotonicityNot monotonic
2024-03-16T13:14:31.916650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
78.6 1
 
3.6%
55.6 1
 
3.6%
40.0 1
 
3.6%
69.5 1
 
3.6%
74.3 1
 
3.6%
67.1 1
 
3.6%
69.3 1
 
3.6%
83.9 1
 
3.6%
69.9 1
 
3.6%
61.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.0 1
3.6%
51.6 1
3.6%
55.6 1
3.6%
56.3 1
3.6%
57.5 1
3.6%
61.9 1
3.6%
63.9 1
3.6%
64.0 1
3.6%
67.1 1
3.6%
68.9 1
3.6%
ValueCountFrequency (%)
102.7 1
3.6%
96.1 1
3.6%
92.1 1
3.6%
87.9 1
3.6%
83.9 1
3.6%
82.9 1
3.6%
82.5 1
3.6%
80.7 1
3.6%
79.5 1
3.6%
78.6 1
3.6%

2008-10
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.121429
Minimum39.8
Maximum99.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:32.079715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.8
5-th percentile52.955
Q163.9
median71
Q378.075
95-th percentile91.005
Maximum99.5
Range59.7
Interquartile range (IQR)14.175

Descriptive statistics

Standard deviation12.818284
Coefficient of variation (CV)0.18023097
Kurtosis0.55286204
Mean71.121429
Median Absolute Deviation (MAD)7.2
Skewness-0.11856413
Sum1991.4
Variance164.30841
MonotonicityNot monotonic
2024-03-16T13:14:32.334233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
76.7 1
 
3.6%
55.1 1
 
3.6%
39.8 1
 
3.6%
69.7 1
 
3.6%
73.8 1
 
3.6%
66.7 1
 
3.6%
72.2 1
 
3.6%
82.8 1
 
3.6%
69.5 1
 
3.6%
61.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
39.8 1
3.6%
51.8 1
3.6%
55.1 1
3.6%
55.9 1
3.6%
57.3 1
3.6%
61.2 1
3.6%
63.6 1
3.6%
64.0 1
3.6%
66.7 1
3.6%
67.8 1
3.6%
ValueCountFrequency (%)
99.5 1
3.6%
92.3 1
3.6%
88.6 1
3.6%
84.5 1
3.6%
82.8 1
3.6%
81.1 1
3.6%
79.5 1
3.6%
77.6 1
3.6%
76.7 1
3.6%
76.1 1
3.6%

2008-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.332143
Minimum40.6
Maximum95.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:32.544750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.6
5-th percentile52.625
Q163.125
median69.65
Q374.95
95-th percentile86.8
Maximum95.1
Range54.5
Interquartile range (IQR)11.825

Descriptive statistics

Standard deviation11.61082
Coefficient of variation (CV)0.16746663
Kurtosis0.63070795
Mean69.332143
Median Absolute Deviation (MAD)6.05
Skewness-0.17643088
Sum1941.3
Variance134.81115
MonotonicityNot monotonic
2024-03-16T13:14:32.732728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
74.0 1
 
3.6%
54.9 1
 
3.6%
40.6 1
 
3.6%
69.5 1
 
3.6%
73.8 1
 
3.6%
66.1 1
 
3.6%
69.6 1
 
3.6%
81.4 1
 
3.6%
69.2 1
 
3.6%
61.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.6 1
3.6%
51.4 1
3.6%
54.9 1
3.6%
55.0 1
3.6%
56.7 1
3.6%
61.3 1
3.6%
62.6 1
3.6%
63.3 1
3.6%
64.3 1
3.6%
66.1 1
3.6%
ValueCountFrequency (%)
95.1 1
3.6%
88.2 1
3.6%
84.2 1
3.6%
81.4 1
3.6%
80.7 1
3.6%
78.6 1
3.6%
75.4 1
3.6%
74.8 1
3.6%
74.0 1
3.6%
73.8 1
3.6%

2008-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.321429
Minimum41.1
Maximum91.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:32.923337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.1
5-th percentile51.915
Q161.45
median68.45
Q372.325
95-th percentile82.52
Maximum91.2
Range50.1
Interquartile range (IQR)10.875

Descriptive statistics

Standard deviation10.584977
Coefficient of variation (CV)0.15723043
Kurtosis0.66366668
Mean67.321429
Median Absolute Deviation (MAD)6.05
Skewness-0.2021529
Sum1885
Variance112.04175
MonotonicityNot monotonic
2024-03-16T13:14:33.179504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
71.1 1
 
3.6%
54.3 1
 
3.6%
41.1 1
 
3.6%
68.4 1
 
3.6%
71.5 1
 
3.6%
64.9 1
 
3.6%
69.1 1
 
3.6%
80.7 1
 
3.6%
67.9 1
 
3.6%
59.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
41.1 1
3.6%
50.9 1
3.6%
53.8 1
3.6%
54.3 1
3.6%
56.1 1
3.6%
59.3 1
3.6%
60.1 1
3.6%
61.9 1
3.6%
62.4 1
3.6%
64.6 1
3.6%
ValueCountFrequency (%)
91.2 1
3.6%
83.5 1
3.6%
80.7 1
3.6%
79.7 1
3.6%
76.5 1
3.6%
74.5 1
3.6%
73.0 1
3.6%
72.1 1
3.6%
71.5 1
3.6%
71.1 1
3.6%

2009-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.639286
Minimum40.7
Maximum91.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:33.400376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.7
5-th percentile51.74
Q161.725
median68.45
Q372.925
95-th percentile82.395
Maximum91.2
Range50.5
Interquartile range (IQR)11.2

Descriptive statistics

Standard deviation10.745864
Coefficient of variation (CV)0.15887015
Kurtosis0.63099748
Mean67.639286
Median Absolute Deviation (MAD)5.2
Skewness-0.30738429
Sum1893.9
Variance115.47358
MonotonicityNot monotonic
2024-03-16T13:14:33.565502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
71.4 1
 
3.6%
53.7 1
 
3.6%
40.7 1
 
3.6%
68.1 1
 
3.6%
71.3 1
 
3.6%
65.0 1
 
3.6%
68.5 1
 
3.6%
80.9 1
 
3.6%
68.3 1
 
3.6%
60.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.7 1
3.6%
50.9 1
3.6%
53.3 1
3.6%
53.7 1
3.6%
55.6 1
3.6%
60.2 1
3.6%
60.6 1
3.6%
62.1 1
3.6%
64.2 1
3.6%
64.8 1
3.6%
ValueCountFrequency (%)
91.2 1
3.6%
83.2 1
3.6%
80.9 1
3.6%
80.5 1
3.6%
77.3 1
3.6%
74.3 1
3.6%
73.0 1
3.6%
72.9 1
3.6%
72.8 1
3.6%
71.4 1
3.6%

2009-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.585714
Minimum41.1
Maximum91.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:33.755931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.1
5-th percentile52.105
Q162.275
median69.05
Q375.1
95-th percentile84.455
Maximum91.7
Range50.6
Interquartile range (IQR)12.825

Descriptive statistics

Standard deviation11.082075
Coefficient of variation (CV)0.16157993
Kurtosis0.42613784
Mean68.585714
Median Absolute Deviation (MAD)6.55
Skewness-0.3360916
Sum1920.4
Variance122.81238
MonotonicityNot monotonic
2024-03-16T13:14:33.925588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
72.7 1
 
3.6%
54.1 1
 
3.6%
41.1 1
 
3.6%
68.6 1
 
3.6%
72.1 1
 
3.6%
66.5 1
 
3.6%
69.2 1
 
3.6%
80.4 1
 
3.6%
68.3 1
 
3.6%
60.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
41.1 1
3.6%
51.3 1
3.6%
53.6 1
3.6%
54.1 1
3.6%
56.0 1
3.6%
60.1 1
3.6%
61.3 1
3.6%
62.6 1
3.6%
64.6 1
3.6%
66.5 1
3.6%
ValueCountFrequency (%)
91.7 1
3.6%
85.4 1
3.6%
82.7 1
3.6%
80.4 1
3.6%
79.3 1
3.6%
76.2 1
3.6%
75.7 1
3.6%
74.9 1
3.6%
74.1 1
3.6%
72.7 1
3.6%

2009-03
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69
Minimum40.5
Maximum92.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:34.092886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.5
5-th percentile52.325
Q162.4
median69.45
Q376.075
95-th percentile85.42
Maximum92.3
Range51.8
Interquartile range (IQR)13.675

Descriptive statistics

Standard deviation11.388656
Coefficient of variation (CV)0.16505298
Kurtosis0.41463675
Mean69
Median Absolute Deviation (MAD)6.75
Skewness-0.3520963
Sum1932
Variance129.70148
MonotonicityNot monotonic
2024-03-16T13:14:34.272604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
73.3 1
 
3.6%
54.1 1
 
3.6%
40.5 1
 
3.6%
68.9 1
 
3.6%
72.3 1
 
3.6%
66.5 1
 
3.6%
69.7 1
 
3.6%
81.2 1
 
3.6%
68.3 1
 
3.6%
60.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.5 1
3.6%
51.8 1
3.6%
53.3 1
3.6%
54.1 1
3.6%
56.2 1
3.6%
60.9 1
3.6%
61.2 1
3.6%
62.8 1
3.6%
64.7 1
3.6%
66.5 1
3.6%
ValueCountFrequency (%)
92.3 1
3.6%
86.4 1
3.6%
83.6 1
3.6%
81.2 1
3.6%
79.8 1
3.6%
77.6 1
3.6%
76.3 1
3.6%
76.0 1
3.6%
75.0 1
3.6%
73.3 1
3.6%

2009-04
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.875
Minimum40.9
Maximum93.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:34.473610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.9
5-th percentile52.665
Q162.8
median70.7
Q377.8
95-th percentile87.32
Maximum93.7
Range52.8
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.844349
Coefficient of variation (CV)0.16950768
Kurtosis0.23302611
Mean69.875
Median Absolute Deviation (MAD)7.55
Skewness-0.32186175
Sum1956.5
Variance140.28861
MonotonicityNot monotonic
2024-03-16T13:14:34.697430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
53.9 2
 
7.1%
74.4 1
 
3.6%
71.1 1
 
3.6%
40.9 1
 
3.6%
69.0 1
 
3.6%
72.2 1
 
3.6%
66.9 1
 
3.6%
70.3 1
 
3.6%
81.0 1
 
3.6%
68.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
40.9 1
3.6%
52.0 1
3.6%
53.9 2
7.1%
56.6 1
3.6%
60.6 1
3.6%
62.2 1
3.6%
63.0 1
3.6%
65.3 1
3.6%
66.9 1
3.6%
68.0 1
3.6%
ValueCountFrequency (%)
93.7 1
3.6%
88.3 1
3.6%
85.5 1
3.6%
81.3 1
3.6%
81.0 1
3.6%
79.1 1
3.6%
78.1 1
3.6%
77.7 1
3.6%
77.2 1
3.6%
74.4 1
3.6%

2009-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.603571
Minimum40.2
Maximum94.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:34.849336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.2
5-th percentile52.96
Q163.275
median71.2
Q379.5
95-th percentile89.445
Maximum94.8
Range54.6
Interquartile range (IQR)16.225

Descriptive statistics

Standard deviation12.345204
Coefficient of variation (CV)0.1748524
Kurtosis0.22886728
Mean70.603571
Median Absolute Deviation (MAD)8.3
Skewness-0.31220805
Sum1976.9
Variance152.40406
MonotonicityNot monotonic
2024-03-16T13:14:35.011642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
79.5 2
 
7.1%
72.7 2
 
7.1%
75.5 1
 
3.6%
54.0 1
 
3.6%
40.2 1
 
3.6%
69.6 1
 
3.6%
66.9 1
 
3.6%
70.7 1
 
3.6%
80.9 1
 
3.6%
68.6 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
40.2 1
3.6%
52.4 1
3.6%
54.0 1
3.6%
54.2 1
3.6%
56.9 1
3.6%
61.2 1
3.6%
62.9 1
3.6%
63.4 1
3.6%
65.7 1
3.6%
66.9 1
3.6%
ValueCountFrequency (%)
94.8 1
3.6%
90.6 1
3.6%
87.3 1
3.6%
82.8 1
3.6%
80.9 1
3.6%
80.6 1
3.6%
79.5 2
7.1%
78.7 1
3.6%
75.5 1
3.6%
73.2 1
3.6%

2009-06
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.192857
Minimum40.9
Maximum95.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:35.167108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.9
5-th percentile53.19
Q163.575
median70.8
Q380.55
95-th percentile90.78
Maximum95.6
Range54.7
Interquartile range (IQR)16.975

Descriptive statistics

Standard deviation12.666752
Coefficient of variation (CV)0.17792167
Kurtosis0.039470788
Mean71.192857
Median Absolute Deviation (MAD)9.45
Skewness-0.2440382
Sum1993.4
Variance160.44661
MonotonicityNot monotonic
2024-03-16T13:14:35.355305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
76.3 1
 
3.6%
54.1 1
 
3.6%
40.9 1
 
3.6%
69.7 1
 
3.6%
72.6 1
 
3.6%
67.8 1
 
3.6%
70.5 1
 
3.6%
81.0 1
 
3.6%
68.7 1
 
3.6%
61.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
40.9 1
3.6%
52.7 1
3.6%
54.1 1
3.6%
54.4 1
3.6%
57.3 1
3.6%
61.1 1
3.6%
63.5 1
3.6%
63.6 1
3.6%
66.1 1
3.6%
67.8 1
3.6%
ValueCountFrequency (%)
95.6 1
3.6%
91.9 1
3.6%
88.7 1
3.6%
84.9 1
3.6%
81.9 1
3.6%
81.2 1
3.6%
81.0 1
3.6%
80.4 1
3.6%
80.1 1
3.6%
76.3 1
3.6%

2009-07
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.953571
Minimum42.4
Maximum96.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:35.548083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.4
5-th percentile53.585
Q164.425
median71.1
Q381.625
95-th percentile91.75
Maximum96.7
Range54.3
Interquartile range (IQR)17.2

Descriptive statistics

Standard deviation12.868436
Coefficient of variation (CV)0.17884361
Kurtosis-0.16161589
Mean71.953571
Median Absolute Deviation (MAD)9.8
Skewness-0.17758796
Sum2014.7
Variance165.59665
MonotonicityNot monotonic
2024-03-16T13:14:35.729405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
77.1 1
 
3.6%
54.3 1
 
3.6%
42.4 1
 
3.6%
70.2 1
 
3.6%
73.2 1
 
3.6%
68.5 1
 
3.6%
71.9 1
 
3.6%
81.0 1
 
3.6%
69.2 1
 
3.6%
61.4 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
42.4 1
3.6%
53.2 1
3.6%
54.3 1
3.6%
54.8 1
3.6%
57.8 1
3.6%
61.4 1
3.6%
64.2 1
3.6%
64.5 1
3.6%
66.7 1
3.6%
68.5 1
3.6%
ValueCountFrequency (%)
96.7 1
3.6%
92.8 1
3.6%
89.8 1
3.6%
86.6 1
3.6%
83.5 1
3.6%
82.5 1
3.6%
82.0 1
3.6%
81.5 1
3.6%
81.0 1
3.6%
77.1 1
3.6%

2009-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.985714
Minimum42.8
Maximum97.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:35.904387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.8
5-th percentile54.205
Q165.25
median71.75
Q383.225
95-th percentile93.45
Maximum97.7
Range54.9
Interquartile range (IQR)17.975

Descriptive statistics

Standard deviation13.266296
Coefficient of variation (CV)0.18176565
Kurtosis-0.26313784
Mean72.985714
Median Absolute Deviation (MAD)10.1
Skewness-0.17346055
Sum2043.6
Variance175.9946
MonotonicityNot monotonic
2024-03-16T13:14:36.071638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
70.8 2
 
7.1%
78.2 1
 
3.6%
91.5 1
 
3.6%
42.8 1
 
3.6%
73.0 1
 
3.6%
69.2 1
 
3.6%
72.6 1
 
3.6%
82.0 1
 
3.6%
69.9 1
 
3.6%
61.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
42.8 1
3.6%
54.1 1
3.6%
54.4 1
3.6%
55.3 1
3.6%
58.5 1
3.6%
61.8 1
3.6%
64.8 1
3.6%
65.4 1
3.6%
67.4 1
3.6%
69.2 1
3.6%
ValueCountFrequency (%)
97.7 1
3.6%
94.5 1
3.6%
91.5 1
3.6%
88.2 1
3.6%
85.4 1
3.6%
84.6 1
3.6%
83.9 1
3.6%
83.0 1
3.6%
82.0 1
3.6%
78.5 1
3.6%

2009-09
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.717857
Minimum43.2
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:36.256278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.2
5-th percentile54.935
Q166.425
median72.2
Q384.025
95-th percentile94.315
Maximum98.6
Range55.4
Interquartile range (IQR)17.6

Descriptive statistics

Standard deviation13.349103
Coefficient of variation (CV)0.18108371
Kurtosis-0.2456874
Mean73.717857
Median Absolute Deviation (MAD)9.95
Skewness-0.17014131
Sum2064.1
Variance178.19856
MonotonicityNot monotonic
2024-03-16T13:14:36.379828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
79.0 2
 
7.1%
92.3 1
 
3.6%
43.2 1
 
3.6%
71.4 1
 
3.6%
74.3 1
 
3.6%
69.9 1
 
3.6%
72.9 1
 
3.6%
82.1 1
 
3.6%
70.6 1
 
3.6%
62.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
43.2 1
3.6%
54.9 1
3.6%
55.0 1
3.6%
56.0 1
3.6%
59.4 1
3.6%
62.2 1
3.6%
65.6 1
3.6%
66.7 1
3.6%
68.2 1
3.6%
69.9 1
3.6%
ValueCountFrequency (%)
98.6 1
3.6%
95.4 1
3.6%
92.3 1
3.6%
89.2 1
3.6%
86.2 1
3.6%
85.9 1
3.6%
84.7 1
3.6%
83.8 1
3.6%
82.1 1
3.6%
79.0 2
7.1%

2009-10
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.882143
Minimum43.3
Maximum98.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:36.521856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.3
5-th percentile55.08
Q166.85
median72.95
Q384.2
95-th percentile93.685
Maximum98.8
Range55.5
Interquartile range (IQR)17.35

Descriptive statistics

Standard deviation13.095972
Coefficient of variation (CV)0.1772549
Kurtosis-0.12490043
Mean73.882143
Median Absolute Deviation (MAD)9.9
Skewness-0.22380492
Sum2068.7
Variance171.50448
MonotonicityNot monotonic
2024-03-16T13:14:36.691784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
72.0 2
 
7.1%
84.2 2
 
7.1%
85.5 2
 
7.1%
78.9 1
 
3.6%
67.1 1
 
3.6%
43.3 1
 
3.6%
74.4 1
 
3.6%
70.4 1
 
3.6%
73.9 1
 
3.6%
82.6 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
43.3 1
3.6%
54.8 1
3.6%
55.6 1
3.6%
56.4 1
3.6%
59.9 1
3.6%
62.8 1
3.6%
66.1 1
3.6%
67.1 1
3.6%
68.5 1
3.6%
70.4 1
3.6%
ValueCountFrequency (%)
98.8 1
3.6%
94.7 1
3.6%
91.8 1
3.6%
88.4 1
3.6%
85.5 2
7.1%
84.2 2
7.1%
82.6 1
3.6%
78.9 1
3.6%
78.5 1
3.6%
76.7 1
3.6%

2009-11
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.575
Minimum44.3
Maximum97.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:36.916715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.3
5-th percentile55.29
Q166.9
median73.25
Q382.775
95-th percentile92.65
Maximum97.4
Range53.1
Interquartile range (IQR)15.875

Descriptive statistics

Standard deviation12.656915
Coefficient of variation (CV)0.17202739
Kurtosis-0.17918127
Mean73.575
Median Absolute Deviation (MAD)9.1
Skewness-0.22723849
Sum2060.1
Variance160.1975
MonotonicityNot monotonic
2024-03-16T13:14:37.083157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
72.2 2
 
7.1%
56.2 2
 
7.1%
78.4 1
 
3.6%
77.1 1
 
3.6%
44.3 1
 
3.6%
74.3 1
 
3.6%
71.2 1
 
3.6%
74.4 1
 
3.6%
82.0 1
 
3.6%
71.0 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
44.3 1
3.6%
54.8 1
3.6%
56.2 2
7.1%
60.2 1
3.6%
62.8 1
3.6%
66.3 1
3.6%
67.1 1
3.6%
67.7 1
3.6%
68.3 1
3.6%
71.0 1
3.6%
ValueCountFrequency (%)
97.4 1
3.6%
93.7 1
3.6%
90.7 1
3.6%
87.2 1
3.6%
86.9 1
3.6%
84.6 1
3.6%
83.0 1
3.6%
82.7 1
3.6%
82.0 1
3.6%
78.4 1
3.6%

2009-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.471429
Minimum44.1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:37.254845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.1
5-th percentile55.585
Q166.95
median73.45
Q382.625
95-th percentile91.39
Maximum96
Range51.9
Interquartile range (IQR)15.675

Descriptive statistics

Standard deviation12.227348
Coefficient of variation (CV)0.16642317
Kurtosis-0.045071495
Mean73.471429
Median Absolute Deviation (MAD)8.85
Skewness-0.34363116
Sum2057.2
Variance149.50804
MonotonicityNot monotonic
2024-03-16T13:14:37.486133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
77.9 1
 
3.6%
55.2 1
 
3.6%
44.1 1
 
3.6%
72.2 1
 
3.6%
74.6 1
 
3.6%
70.9 1
 
3.6%
74.7 1
 
3.6%
82.0 1
 
3.6%
71.2 1
 
3.6%
63.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
44.1 1
3.6%
55.2 1
3.6%
56.3 1
3.6%
56.5 1
3.6%
60.4 1
3.6%
63.3 1
3.6%
66.5 1
3.6%
67.1 1
3.6%
68.1 1
3.6%
70.0 1
3.6%
ValueCountFrequency (%)
96.0 1
3.6%
92.3 1
3.6%
89.7 1
3.6%
86.8 1
3.6%
84.6 1
3.6%
84.2 1
3.6%
82.7 1
3.6%
82.6 1
3.6%
82.0 1
3.6%
77.9 1
3.6%

2010-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.332143
Minimum45.1
Maximum97.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:37.744324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.1
5-th percentile55.685
Q167.4
median74.05
Q383.5
95-th percentile92.16
Maximum97.6
Range52.5
Interquartile range (IQR)16.1

Descriptive statistics

Standard deviation12.3686
Coefficient of variation (CV)0.16639638
Kurtosis-0.08904196
Mean74.332143
Median Absolute Deviation (MAD)9.2
Skewness-0.33761263
Sum2081.3
Variance152.98226
MonotonicityNot monotonic
2024-03-16T13:14:37.969453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
78.6 1
 
3.6%
55.3 1
 
3.6%
45.1 1
 
3.6%
73.2 1
 
3.6%
74.9 1
 
3.6%
71.3 1
 
3.6%
75.9 1
 
3.6%
83.1 1
 
3.6%
71.7 1
 
3.6%
63.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
45.1 1
3.6%
55.3 1
3.6%
56.4 1
3.6%
57.6 1
3.6%
61.0 1
3.6%
63.8 1
3.6%
67.1 1
3.6%
67.5 1
3.6%
68.8 1
3.6%
71.3 1
3.6%
ValueCountFrequency (%)
97.6 1
3.6%
93.0 1
3.6%
90.6 1
3.6%
87.3 1
3.6%
85.6 1
3.6%
85.0 1
3.6%
83.8 1
3.6%
83.4 1
3.6%
83.1 1
3.6%
79.1 1
3.6%

2010-02
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.528571
Minimum45.5
Maximum96.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:38.176467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.5
5-th percentile55.78
Q167.725
median74.35
Q383.6
95-th percentile92.06
Maximum96.9
Range51.4
Interquartile range (IQR)15.875

Descriptive statistics

Standard deviation12.288111
Coefficient of variation (CV)0.16487786
Kurtosis-0.14513788
Mean74.528571
Median Absolute Deviation (MAD)9.1
Skewness-0.36728618
Sum2086.8
Variance150.99767
MonotonicityNot monotonic
2024-03-16T13:14:38.381981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
73.5 2
 
7.1%
71.8 2
 
7.1%
78.7 1
 
3.6%
96.9 1
 
3.6%
45.5 1
 
3.6%
75.2 1
 
3.6%
77.0 1
 
3.6%
83.4 1
 
3.6%
72.0 1
 
3.6%
63.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
45.5 1
3.6%
55.5 1
3.6%
56.3 1
3.6%
58.1 1
3.6%
61.4 1
3.6%
63.8 1
3.6%
67.5 1
3.6%
67.8 1
3.6%
68.9 1
3.6%
71.8 2
7.1%
ValueCountFrequency (%)
96.9 1
3.6%
92.9 1
3.6%
90.5 1
3.6%
87.2 1
3.6%
87.0 1
3.6%
85.1 1
3.6%
83.9 1
3.6%
83.5 1
3.6%
83.4 1
3.6%
79.1 1
3.6%

2010-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.589286
Minimum45.6
Maximum96.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:38.642300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.6
5-th percentile55.945
Q168.025
median74.8
Q383.2
95-th percentile91.295
Maximum96.4
Range50.8
Interquartile range (IQR)15.175

Descriptive statistics

Standard deviation11.895793
Coefficient of variation (CV)0.15948393
Kurtosis0.044990154
Mean74.589286
Median Absolute Deviation (MAD)8.35
Skewness-0.45736501
Sum2088.5
Variance141.50988
MonotonicityNot monotonic
2024-03-16T13:14:38.825938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
83.2 2
 
7.1%
78.6 1
 
3.6%
55.7 1
 
3.6%
45.6 1
 
3.6%
74.4 1
 
3.6%
75.2 1
 
3.6%
72.8 1
 
3.6%
78.2 1
 
3.6%
72.7 1
 
3.6%
64.3 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
45.6 1
3.6%
55.7 1
3.6%
56.4 1
3.6%
59.2 1
3.6%
61.9 1
3.6%
64.3 1
3.6%
67.8 1
3.6%
68.1 1
3.6%
69.1 1
3.6%
72.4 1
3.6%
ValueCountFrequency (%)
96.4 1
3.6%
92.1 1
3.6%
89.8 1
3.6%
86.3 1
3.6%
85.4 1
3.6%
84.8 1
3.6%
83.2 2
7.1%
83.1 1
3.6%
79.6 1
3.6%
78.6 1
3.6%

2010-04
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.135714
Minimum46.2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:39.052535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.2
5-th percentile55.905
Q168.275
median74.7
Q382.2
95-th percentile89.53
Maximum95
Range48.8
Interquartile range (IQR)13.925

Descriptive statistics

Standard deviation11.283328
Coefficient of variation (CV)0.15219828
Kurtosis0.18064038
Mean74.135714
Median Absolute Deviation (MAD)7.05
Skewness-0.53866546
Sum2075.8
Variance127.31349
MonotonicityNot monotonic
2024-03-16T13:14:39.659186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
74.5 2
 
7.1%
77.8 1
 
3.6%
55.8 1
 
3.6%
46.2 1
 
3.6%
74.9 1
 
3.6%
73.6 1
 
3.6%
79.1 1
 
3.6%
83.2 1
 
3.6%
73.1 1
 
3.6%
64.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
46.2 1
3.6%
55.8 1
3.6%
56.1 1
3.6%
59.7 1
3.6%
62.2 1
3.6%
64.2 1
3.6%
67.9 1
3.6%
68.4 1
3.6%
69.0 1
3.6%
71.8 1
3.6%
ValueCountFrequency (%)
95.0 1
3.6%
90.3 1
3.6%
88.1 1
3.6%
84.8 1
3.6%
83.5 1
3.6%
83.2 1
3.6%
82.8 1
3.6%
82.0 1
3.6%
81.3 1
3.6%
80.1 1
3.6%

2010-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.810714
Minimum45.7
Maximum93.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:39.859853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.7
5-th percentile55.97
Q168.375
median74.65
Q381.275
95-th percentile88.195
Maximum93.6
Range47.9
Interquartile range (IQR)12.9

Descriptive statistics

Standard deviation10.888061
Coefficient of variation (CV)0.14751329
Kurtosis0.42712595
Mean73.810714
Median Absolute Deviation (MAD)6.8
Skewness-0.65980839
Sum2066.7
Variance118.54988
MonotonicityNot monotonic
2024-03-16T13:14:40.082111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
77.3 1
 
3.6%
55.9 1
 
3.6%
45.7 1
 
3.6%
75.6 1
 
3.6%
74.2 1
 
3.6%
74.3 1
 
3.6%
79.4 1
 
3.6%
83.2 1
 
3.6%
73.3 1
 
3.6%
64.7 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
45.7 1
3.6%
55.9 1
3.6%
56.1 1
3.6%
60.4 1
3.6%
62.4 1
3.6%
64.7 1
3.6%
67.4 1
3.6%
68.7 1
3.6%
68.8 1
3.6%
71.8 1
3.6%
ValueCountFrequency (%)
93.6 1
3.6%
89.0 1
3.6%
86.7 1
3.6%
83.2 1
3.6%
83.1 1
3.6%
82.7 1
3.6%
81.8 1
3.6%
81.1 1
3.6%
80.2 1
3.6%
80.0 1
3.6%

2010-06
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.696429
Minimum46.9
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:40.278425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.9
5-th percentile55.94
Q168.5
median74.7
Q381.15
95-th percentile87.33
Maximum93
Range46.1
Interquartile range (IQR)12.65

Descriptive statistics

Standard deviation10.531803
Coefficient of variation (CV)0.14290792
Kurtosis0.37687115
Mean73.696429
Median Absolute Deviation (MAD)6.5
Skewness-0.67087341
Sum2063.5
Variance110.91888
MonotonicityNot monotonic
2024-03-16T13:14:40.445662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
77.0 1
 
3.6%
56.2 1
 
3.6%
46.9 1
 
3.6%
76.4 1
 
3.6%
74.4 1
 
3.6%
74.2 1
 
3.6%
79.8 1
 
3.6%
83.1 1
 
3.6%
73.4 1
 
3.6%
64.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
46.9 1
3.6%
55.8 1
3.6%
56.2 1
3.6%
60.9 1
3.6%
62.6 1
3.6%
64.3 1
3.6%
67.6 1
3.6%
68.8 1
3.6%
68.9 1
3.6%
72.2 1
3.6%
ValueCountFrequency (%)
93.0 1
3.6%
88.1 1
3.6%
85.9 1
3.6%
83.1 1
3.6%
82.0 1
3.6%
81.4 1
3.6%
81.3 1
3.6%
81.1 1
3.6%
80.1 1
3.6%
79.8 1
3.6%

2010-07
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.657143
Minimum47.6
Maximum92.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:40.578101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.6
5-th percentile56.115
Q168.375
median75.35
Q380.725
95-th percentile86.33
Maximum92.2
Range44.6
Interquartile range (IQR)12.35

Descriptive statistics

Standard deviation10.22254
Coefficient of variation (CV)0.13878545
Kurtosis0.38216889
Mean73.657143
Median Absolute Deviation (MAD)5.75
Skewness-0.72209963
Sum2062.4
Variance104.50032
MonotonicityNot monotonic
2024-03-16T13:14:40.730690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
80.1 2
 
7.1%
80.8 2
 
7.1%
76.6 1
 
3.6%
56.7 1
 
3.6%
47.6 1
 
3.6%
77.3 1
 
3.6%
74.3 1
 
3.6%
75.1 1
 
3.6%
83.2 1
 
3.6%
73.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
47.6 1
3.6%
55.8 1
3.6%
56.7 1
3.6%
61.3 1
3.6%
62.9 1
3.6%
64.1 1
3.6%
67.1 1
3.6%
68.8 1
3.6%
69.3 1
3.6%
73.0 1
3.6%
ValueCountFrequency (%)
92.2 1
3.6%
87.1 1
3.6%
84.9 1
3.6%
83.2 1
3.6%
81.7 1
3.6%
80.8 2
7.1%
80.7 1
3.6%
80.1 2
7.1%
78.2 1
3.6%
77.3 1
3.6%

2010-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.678571
Minimum48.7
Maximum91.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:40.897157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.7
5-th percentile56.18
Q168.45
median76
Q380.025
95-th percentile85.565
Maximum91.2
Range42.5
Interquartile range (IQR)11.575

Descriptive statistics

Standard deviation9.901304
Coefficient of variation (CV)0.13438512
Kurtosis0.33197774
Mean73.678571
Median Absolute Deviation (MAD)5.3
Skewness-0.76842626
Sum2063
Variance98.03582
MonotonicityNot monotonic
2024-03-16T13:14:41.068552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
76.0 2
 
7.1%
76.5 1
 
3.6%
56.7 1
 
3.6%
48.7 1
 
3.6%
77.8 1
 
3.6%
74.6 1
 
3.6%
81.2 1
 
3.6%
83.2 1
 
3.6%
74.5 1
 
3.6%
63.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
48.7 1
3.6%
55.9 1
3.6%
56.7 1
3.6%
62.1 1
3.6%
63.3 1
3.6%
63.8 1
3.6%
67.1 1
3.6%
68.9 1
3.6%
69.7 1
3.6%
72.8 1
3.6%
ValueCountFrequency (%)
91.2 1
3.6%
86.3 1
3.6%
84.2 1
3.6%
83.2 1
3.6%
81.4 1
3.6%
81.2 1
3.6%
80.4 1
3.6%
79.9 1
3.6%
79.8 1
3.6%
79.7 1
3.6%

2010-09
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.332143
Minimum48.5
Maximum91.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:41.297374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.5
5-th percentile56.675
Q169.225
median76.55
Q380.95
95-th percentile86.23
Maximum91.8
Range43.3
Interquartile range (IQR)11.725

Descriptive statistics

Standard deviation9.956128
Coefficient of variation (CV)0.13394109
Kurtosis0.52573514
Mean74.332143
Median Absolute Deviation (MAD)5.15
Skewness-0.83422367
Sum2081.3
Variance99.124484
MonotonicityNot monotonic
2024-03-16T13:14:41.492763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
74.9 2
 
7.1%
81.4 2
 
7.1%
77.2 1
 
3.6%
91.8 1
 
3.6%
48.5 1
 
3.6%
79.4 1
 
3.6%
76.5 1
 
3.6%
83.5 1
 
3.6%
64.4 1
 
3.6%
87.0 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
48.5 1
3.6%
56.5 1
3.6%
57.0 1
3.6%
63.2 1
3.6%
64.1 1
3.6%
64.4 1
3.6%
68.1 1
3.6%
69.6 1
3.6%
70.4 1
3.6%
73.4 1
3.6%
ValueCountFrequency (%)
91.8 1
3.6%
87.0 1
3.6%
84.8 1
3.6%
83.5 1
3.6%
82.0 1
3.6%
81.4 2
7.1%
80.8 1
3.6%
80.2 1
3.6%
79.8 1
3.6%
79.4 1
3.6%

2010-10
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.753571
Minimum49.4
Maximum91.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:41.606780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.4
5-th percentile56.95
Q169.65
median77.2
Q380.775
95-th percentile86.46
Maximum91.3
Range41.9
Interquartile range (IQR)11.125

Descriptive statistics

Standard deviation9.8104057
Coefficient of variation (CV)0.13123662
Kurtosis0.50342086
Mean74.753571
Median Absolute Deviation (MAD)5.9
Skewness-0.85297438
Sum2093.1
Variance96.244061
MonotonicityNot monotonic
2024-03-16T13:14:41.744950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
77.6 2
 
7.1%
80.2 2
 
7.1%
83.1 1
 
3.6%
49.4 1
 
3.6%
80.7 1
 
3.6%
75.8 1
 
3.6%
76.8 1
 
3.6%
83.2 1
 
3.6%
84.1 1
 
3.6%
75.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
49.4 1
3.6%
56.6 1
3.6%
57.6 1
3.6%
64.2 1
3.6%
64.8 1
3.6%
65.2 1
3.6%
68.6 1
3.6%
70.0 1
3.6%
71.3 1
3.6%
73.4 1
3.6%
ValueCountFrequency (%)
91.3 1
3.6%
87.3 1
3.6%
84.9 1
3.6%
84.1 1
3.6%
83.2 1
3.6%
83.1 1
3.6%
81.0 1
3.6%
80.7 1
3.6%
80.2 2
7.1%
79.7 1
3.6%

2010-11
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.385714
Minimum50
Maximum91.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:42.050978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile57.555
Q170.225
median77.8
Q381.775
95-th percentile86.995
Maximum91.4
Range41.4
Interquartile range (IQR)11.55

Descriptive statistics

Standard deviation9.7903851
Coefficient of variation (CV)0.12987056
Kurtosis0.49900342
Mean75.385714
Median Absolute Deviation (MAD)5.75
Skewness-0.87328487
Sum2110.8
Variance95.85164
MonotonicityNot monotonic
2024-03-16T13:14:42.372959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
65.3 2
 
7.1%
78.3 1
 
3.6%
58.4 1
 
3.6%
50.0 1
 
3.6%
82.0 1
 
3.6%
75.7 1
 
3.6%
77.4 1
 
3.6%
83.5 1
 
3.6%
84.5 1
 
3.6%
76.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
50.0 1
3.6%
57.1 1
3.6%
58.4 1
3.6%
65.3 2
7.1%
65.7 1
3.6%
68.8 1
3.6%
70.7 1
3.6%
72.0 1
3.6%
74.7 1
3.6%
75.1 1
3.6%
ValueCountFrequency (%)
91.4 1
3.6%
87.8 1
3.6%
85.5 1
3.6%
84.8 1
3.6%
84.5 1
3.6%
83.5 1
3.6%
82.0 1
3.6%
81.7 1
3.6%
80.8 1
3.6%
80.3 1
3.6%

2010-12
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.192857
Minimum49.4
Maximum91.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:42.626491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.4
5-th percentile58.035
Q171.05
median79.15
Q382.875
95-th percentile87.835
Maximum91.8
Range42.4
Interquartile range (IQR)11.825

Descriptive statistics

Standard deviation9.9717352
Coefficient of variation (CV)0.13087493
Kurtosis0.73071971
Mean76.192857
Median Absolute Deviation (MAD)5.55
Skewness-0.95713243
Sum2133.4
Variance99.435503
MonotonicityNot monotonic
2024-03-16T13:14:42.802513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
79.2 2
 
7.1%
66.7 2
 
7.1%
80.7 2
 
7.1%
84.7 2
 
7.1%
69.4 1
 
3.6%
49.4 1
 
3.6%
84.0 1
 
3.6%
75.8 1
 
3.6%
79.1 1
 
3.6%
77.1 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
49.4 1
3.6%
57.3 1
3.6%
59.4 1
3.6%
65.7 1
3.6%
66.7 2
7.1%
69.4 1
3.6%
71.6 1
3.6%
73.1 1
3.6%
75.7 1
3.6%
75.8 1
3.6%
ValueCountFrequency (%)
91.8 1
3.6%
88.5 1
3.6%
86.6 1
3.6%
86.2 1
3.6%
84.7 2
7.1%
84.0 1
3.6%
82.5 1
3.6%
81.5 1
3.6%
80.7 2
7.1%
80.1 1
3.6%

2011-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.453571
Minimum50.3
Maximum91.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:42.991514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile59.105
Q172.2
median80.45
Q384.25
95-th percentile89.45
Maximum91.6
Range41.3
Interquartile range (IQR)12.05

Descriptive statistics

Standard deviation10.023693
Coefficient of variation (CV)0.12941551
Kurtosis0.76497158
Mean77.453571
Median Absolute Deviation (MAD)6
Skewness-0.99766284
Sum2168.7
Variance100.47443
MonotonicityNot monotonic
2024-03-16T13:14:43.177076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
86.6 2
 
7.1%
80.4 1
 
3.6%
87.2 1
 
3.6%
50.3 1
 
3.6%
76.3 1
 
3.6%
80.5 1
 
3.6%
85.9 1
 
3.6%
78.8 1
 
3.6%
66.5 1
 
3.6%
89.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
50.3 1
3.6%
58.3 1
3.6%
60.6 1
3.6%
66.5 1
3.6%
68.2 1
3.6%
68.5 1
3.6%
70.7 1
3.6%
72.7 1
3.6%
74.6 1
3.6%
76.3 1
3.6%
ValueCountFrequency (%)
91.6 1
3.6%
89.8 1
3.6%
88.8 1
3.6%
87.2 1
3.6%
86.6 2
7.1%
85.9 1
3.6%
83.7 1
3.6%
82.6 1
3.6%
81.9 1
3.6%
81.4 1
3.6%

2011-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.789286
Minimum49.8
Maximum92.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:43.345171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.8
5-th percentile60.725
Q173.575
median81.4
Q385.175
95-th percentile90.93
Maximum92.3
Range42.5
Interquartile range (IQR)11.6

Descriptive statistics

Standard deviation10.124826
Coefficient of variation (CV)0.12850511
Kurtosis1.244263
Mean78.789286
Median Absolute Deviation (MAD)5.95
Skewness-1.0992242
Sum2206.1
Variance102.5121
MonotonicityNot monotonic
2024-03-16T13:14:43.531416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
81.0 2
 
7.1%
81.8 1
 
3.6%
88.2 1
 
3.6%
49.8 1
 
3.6%
89.6 1
 
3.6%
77.4 1
 
3.6%
87.8 1
 
3.6%
86.9 1
 
3.6%
80.0 1
 
3.6%
67.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
49.8 1
3.6%
59.5 1
3.6%
63.0 1
3.6%
67.6 1
3.6%
70.1 1
3.6%
70.9 1
3.6%
71.4 1
3.6%
74.3 1
3.6%
76.3 1
3.6%
77.4 1
3.6%
ValueCountFrequency (%)
92.3 1
3.6%
91.0 1
3.6%
90.8 1
3.6%
89.6 1
3.6%
88.2 1
3.6%
87.8 1
3.6%
86.9 1
3.6%
84.6 1
3.6%
83.3 1
3.6%
83.2 1
3.6%

2011-03
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.764286
Minimum51.3
Maximum93.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:43.738385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.3
5-th percentile62.22
Q175.15
median82.05
Q385.25
95-th percentile92.03
Maximum93.2
Range41.9
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation9.8539037
Coefficient of variation (CV)0.12353779
Kurtosis1.417737
Mean79.764286
Median Absolute Deviation (MAD)5.8
Skewness-1.0700836
Sum2233.4
Variance97.099418
MonotonicityNot monotonic
2024-03-16T13:14:43.893145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
82.8 2
 
7.1%
78.2 2
 
7.1%
92.1 1
 
3.6%
51.3 1
 
3.6%
93.2 1
 
3.6%
89.8 1
 
3.6%
87.5 1
 
3.6%
81.9 1
 
3.6%
68.8 1
 
3.6%
91.2 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
51.3 1
3.6%
60.4 1
3.6%
65.6 1
3.6%
68.8 1
3.6%
72.0 1
3.6%
72.8 1
3.6%
73.2 1
3.6%
75.8 1
3.6%
77.0 1
3.6%
78.2 2
7.1%
ValueCountFrequency (%)
93.2 1
3.6%
92.1 1
3.6%
91.9 1
3.6%
91.2 1
3.6%
89.8 1
3.6%
88.2 1
3.6%
87.5 1
3.6%
84.5 1
3.6%
84.2 1
3.6%
83.0 1
3.6%

2011-04
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.417857
Minimum52.9
Maximum95.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:44.019946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.9
5-th percentile63.23
Q175.925
median82.5
Q385.975
95-th percentile92.54
Maximum95.2
Range42.3
Interquartile range (IQR)10.05

Descriptive statistics

Standard deviation9.6183487
Coefficient of variation (CV)0.11960464
Kurtosis1.415526
Mean80.417857
Median Absolute Deviation (MAD)5.6
Skewness-1.0029687
Sum2251.7
Variance92.512632
MonotonicityNot monotonic
2024-03-16T13:14:44.139943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
83.3 2
 
7.1%
87.7 1
 
3.6%
52.9 1
 
3.6%
95.2 1
 
3.6%
79.0 1
 
3.6%
91.5 1
 
3.6%
88.0 1
 
3.6%
83.2 1
 
3.6%
69.4 1
 
3.6%
90.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
52.9 1
3.6%
61.2 1
3.6%
67.0 1
3.6%
69.4 1
3.6%
73.4 1
3.6%
74.2 1
3.6%
75.1 1
3.6%
76.2 1
3.6%
76.8 1
3.6%
79.0 1
3.6%
ValueCountFrequency (%)
95.2 1
3.6%
93.1 1
3.6%
91.5 1
3.6%
91.4 1
3.6%
90.8 1
3.6%
88.0 1
3.6%
87.7 1
3.6%
85.4 1
3.6%
84.1 1
3.6%
83.3 2
7.1%

2011-05
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.682143
Minimum50.6
Maximum95.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:44.276503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.6
5-th percentile63.84
Q175.825
median81.9
Q386.55
95-th percentile93.675
Maximum95.9
Range45.3
Interquartile range (IQR)10.725

Descriptive statistics

Standard deviation9.8649793
Coefficient of variation (CV)0.12226967
Kurtosis2.1527415
Mean80.682143
Median Absolute Deviation (MAD)5.7
Skewness-1.1248328
Sum2259.1
Variance97.317817
MonotonicityNot monotonic
2024-03-16T13:14:44.434828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
90.6 2
 
7.1%
80.4 2
 
7.1%
81.9 2
 
7.1%
68.0 1
 
3.6%
50.6 1
 
3.6%
95.9 1
 
3.6%
79.5 1
 
3.6%
85.6 1
 
3.6%
92.7 1
 
3.6%
89.2 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
50.6 1
3.6%
61.6 1
3.6%
68.0 1
3.6%
70.2 1
3.6%
74.3 1
3.6%
75.5 1
3.6%
75.6 1
3.6%
75.9 1
3.6%
77.3 1
3.6%
79.5 1
3.6%
ValueCountFrequency (%)
95.9 1
3.6%
94.2 1
3.6%
92.7 1
3.6%
90.6 2
7.1%
89.2 1
3.6%
87.3 1
3.6%
86.3 1
3.6%
85.6 1
3.6%
83.9 1
3.6%
83.5 1
3.6%

2011-06
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.067857
Minimum53.7
Maximum96.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:44.583499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.7
5-th percentile64.475
Q176.625
median81
Q386.875
95-th percentile95.76
Maximum96.6
Range42.9
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation9.5750855
Coefficient of variation (CV)0.11811198
Kurtosis1.5368694
Mean81.067857
Median Absolute Deviation (MAD)5.2
Skewness-0.83279213
Sum2269.9
Variance91.682262
MonotonicityNot monotonic
2024-03-16T13:14:44.700598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
80.0 2
 
7.1%
80.8 2
 
7.1%
96.6 2
 
7.1%
83.8 1
 
3.6%
89.7 1
 
3.6%
53.7 1
 
3.6%
85.0 1
 
3.6%
94.2 1
 
3.6%
89.4 1
 
3.6%
85.4 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
53.7 1
3.6%
62.2 1
3.6%
68.7 1
3.6%
71.3 1
3.6%
75.1 1
3.6%
75.2 1
3.6%
76.4 1
3.6%
76.7 1
3.6%
77.9 1
3.6%
80.0 2
7.1%
ValueCountFrequency (%)
96.6 2
7.1%
94.2 1
3.6%
90.3 1
3.6%
89.7 1
3.6%
89.4 1
3.6%
87.1 1
3.6%
86.8 1
3.6%
85.4 1
3.6%
85.0 1
3.6%
83.8 1
3.6%

2011-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.828571
Minimum54.6
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:44.860720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.6
5-th percentile65.04
Q177.6
median81.95
Q386.975
95-th percentile96.785
Maximum98
Range43.4
Interquartile range (IQR)9.375

Descriptive statistics

Standard deviation9.5720603
Coefficient of variation (CV)0.11697699
Kurtosis1.567118
Mean81.828571
Median Absolute Deviation (MAD)4.65
Skewness-0.81116946
Sum2291.2
Variance91.624339
MonotonicityNot monotonic
2024-03-16T13:14:44.984770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
81.8 2
 
7.1%
84.2 1
 
3.6%
98.0 1
 
3.6%
54.6 1
 
3.6%
97.8 1
 
3.6%
81.2 1
 
3.6%
86.0 1
 
3.6%
94.9 1
 
3.6%
90.3 1
 
3.6%
86.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
54.6 1
3.6%
62.8 1
3.6%
69.2 1
3.6%
73.1 1
3.6%
74.8 1
3.6%
76.0 1
3.6%
77.3 1
3.6%
77.7 1
3.6%
78.4 1
3.6%
80.0 1
3.6%
ValueCountFrequency (%)
98.0 1
3.6%
97.8 1
3.6%
94.9 1
3.6%
90.3 1
3.6%
90.1 1
3.6%
89.2 1
3.6%
88.1 1
3.6%
86.6 1
3.6%
86.5 1
3.6%
86.0 1
3.6%

2011-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.453571
Minimum54.3
Maximum98.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:45.182348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.3
5-th percentile65.975
Q178.6
median82.5
Q388.4
95-th percentile97.795
Maximum98.7
Range44.4
Interquartile range (IQR)9.8

Descriptive statistics

Standard deviation9.6434004
Coefficient of variation (CV)0.11695552
Kurtosis1.8377872
Mean82.453571
Median Absolute Deviation (MAD)5.1
Skewness-0.82219194
Sum2308.7
Variance92.995172
MonotonicityNot monotonic
2024-03-16T13:14:45.343412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
83.2 2
 
7.1%
84.9 1
 
3.6%
98.7 1
 
3.6%
54.3 1
 
3.6%
98.6 1
 
3.6%
81.7 1
 
3.6%
87.1 1
 
3.6%
96.3 1
 
3.6%
91.4 1
 
3.6%
88.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
54.3 1
3.6%
63.7 1
3.6%
70.2 1
3.6%
74.9 1
3.6%
75.6 1
3.6%
76.9 1
3.6%
78.3 1
3.6%
78.7 1
3.6%
79.1 1
3.6%
80.2 1
3.6%
ValueCountFrequency (%)
98.7 1
3.6%
98.6 1
3.6%
96.3 1
3.6%
91.4 1
3.6%
90.5 1
3.6%
89.2 1
3.6%
89.0 1
3.6%
88.2 1
3.6%
87.1 1
3.6%
86.8 1
3.6%

2011-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.139286
Minimum55
Maximum99.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:45.474209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile66.705
Q179.8
median83.05
Q388.925
95-th percentile99.215
Maximum99.7
Range44.7
Interquartile range (IQR)9.125

Descriptive statistics

Standard deviation9.7666227
Coefficient of variation (CV)0.11747302
Kurtosis1.7179652
Mean83.139286
Median Absolute Deviation (MAD)5.1
Skewness-0.7278325
Sum2327.9
Variance95.386918
MonotonicityNot monotonic
2024-03-16T13:14:45.619241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.5 1
 
3.6%
70.8 1
 
3.6%
55.0 1
 
3.6%
99.7 1
 
3.6%
83.0 1
 
3.6%
88.1 1
 
3.6%
98.5 1
 
3.6%
92.2 1
 
3.6%
89.6 1
 
3.6%
76.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
55.0 1
3.6%
64.5 1
3.6%
70.8 1
3.6%
74.8 1
3.6%
76.5 1
3.6%
77.9 1
3.6%
79.5 1
3.6%
79.9 1
3.6%
80.0 1
3.6%
80.1 1
3.6%
ValueCountFrequency (%)
99.7 1
3.6%
99.6 1
3.6%
98.5 1
3.6%
92.2 1
3.6%
90.6 1
3.6%
90.5 1
3.6%
89.6 1
3.6%
88.7 1
3.6%
88.1 1
3.6%
86.8 1
3.6%

2011-10
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.246429
Minimum55.2
Maximum99.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:45.802816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.2
5-th percentile67.37
Q179.325
median83.1
Q388.8
95-th percentile99.33
Maximum99.5
Range44.3
Interquartile range (IQR)9.475

Descriptive statistics

Standard deviation9.7898845
Coefficient of variation (CV)0.11760126
Kurtosis1.5657367
Mean83.246429
Median Absolute Deviation (MAD)4.9
Skewness-0.68076147
Sum2330.9
Variance95.841839
MonotonicityNot monotonic
2024-03-16T13:14:45.958923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.4 1
 
3.6%
71.4 1
 
3.6%
55.2 1
 
3.6%
99.4 1
 
3.6%
83.4 1
 
3.6%
88.3 1
 
3.6%
99.5 1
 
3.6%
93.2 1
 
3.6%
90.8 1
 
3.6%
76.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
55.2 1
3.6%
65.2 1
3.6%
71.4 1
3.6%
73.7 1
3.6%
76.9 1
3.6%
78.1 1
3.6%
79.1 1
3.6%
79.4 1
3.6%
79.9 1
3.6%
80.2 1
3.6%
ValueCountFrequency (%)
99.5 1
3.6%
99.4 1
3.6%
99.2 1
3.6%
93.2 1
3.6%
90.9 1
3.6%
90.8 1
3.6%
90.3 1
3.6%
88.3 1
3.6%
87.9 1
3.6%
86.4 1
3.6%

2011-11
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.896429
Minimum55.7
Maximum99.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:46.097663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.7
5-th percentile67.295
Q178.675
median82.95
Q388.575
95-th percentile98.71
Maximum99.2
Range43.5
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation9.7043511
Coefficient of variation (CV)0.11706597
Kurtosis1.2928855
Mean82.896429
Median Absolute Deviation (MAD)4.8
Skewness-0.62388952
Sum2321.1
Variance94.174431
MonotonicityNot monotonic
2024-03-16T13:14:46.272151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
99.2 2
 
7.1%
85.0 1
 
3.6%
85.5 1
 
3.6%
55.7 1
 
3.6%
83.7 1
 
3.6%
88.3 1
 
3.6%
93.5 1
 
3.6%
91.0 1
 
3.6%
76.3 1
 
3.6%
89.4 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
55.7 1
3.6%
65.3 1
3.6%
71.0 1
3.6%
72.5 1
3.6%
76.3 1
3.6%
77.7 1
3.6%
78.6 1
3.6%
78.7 1
3.6%
79.5 1
3.6%
79.8 1
3.6%
ValueCountFrequency (%)
99.2 2
7.1%
97.8 1
3.6%
93.5 1
3.6%
91.0 1
3.6%
90.8 1
3.6%
89.4 1
3.6%
88.3 1
3.6%
87.0 1
3.6%
85.7 1
3.6%
85.5 1
3.6%

2011-12
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.271429
Minimum55.2
Maximum97.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:46.457406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.2
5-th percentile67.155
Q177.7
median83.1
Q388.2
95-th percentile97.195
Maximum97.8
Range42.6
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation9.5346486
Coefficient of variation (CV)0.11589259
Kurtosis1.3188529
Mean82.271429
Median Absolute Deviation (MAD)5.4
Skewness-0.68443138
Sum2303.6
Variance90.909524
MonotonicityNot monotonic
2024-03-16T13:14:46.611187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
78.9 2
 
7.1%
77.7 2
 
7.1%
80.3 2
 
7.1%
84.3 1
 
3.6%
84.5 1
 
3.6%
55.2 1
 
3.6%
97.3 1
 
3.6%
83.8 1
 
3.6%
88.0 1
 
3.6%
97.8 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
55.2 1
3.6%
65.3 1
3.6%
70.6 1
3.6%
71.8 1
3.6%
75.8 1
3.6%
77.2 1
3.6%
77.7 2
7.1%
78.9 2
7.1%
80.3 2
7.1%
81.1 1
3.6%
ValueCountFrequency (%)
97.8 1
3.6%
97.3 1
3.6%
97.0 1
3.6%
93.2 1
3.6%
90.7 1
3.6%
90.0 1
3.6%
88.8 1
3.6%
88.0 1
3.6%
86.4 1
3.6%
84.8 1
3.6%

2012-01
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.239286
Minimum57
Maximum101.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:46.756086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile68.165
Q178.575
median84.3
Q389.175
95-th percentile98.535
Maximum101.1
Range44.1
Interquartile range (IQR)10.6

Descriptive statistics

Standard deviation9.7469972
Coefficient of variation (CV)0.11709612
Kurtosis0.91345618
Mean83.239286
Median Absolute Deviation (MAD)5.8
Skewness-0.45482367
Sum2330.7
Variance95.003955
MonotonicityNot monotonic
2024-03-16T13:14:46.914335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
85.1 2
 
7.1%
84.8 2
 
7.1%
86.2 1
 
3.6%
57.0 1
 
3.6%
99.2 1
 
3.6%
90.3 1
 
3.6%
101.1 1
 
3.6%
94.3 1
 
3.6%
93.1 1
 
3.6%
77.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
57.0 1
3.6%
66.1 1
3.6%
72.0 1
3.6%
72.1 1
3.6%
77.8 1
3.6%
78.0 1
3.6%
78.2 1
3.6%
78.7 1
3.6%
78.9 1
3.6%
79.5 1
3.6%
ValueCountFrequency (%)
101.1 1
3.6%
99.2 1
3.6%
97.3 1
3.6%
94.3 1
3.6%
93.1 1
3.6%
91.9 1
3.6%
90.3 1
3.6%
88.8 1
3.6%
86.2 1
3.6%
85.2 1
3.6%

2012-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.435714
Minimum56.5
Maximum101.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:47.113560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.5
5-th percentile68.59
Q178.775
median84.85
Q388.8
95-th percentile98.46
Maximum101.7
Range45.2
Interquartile range (IQR)10.025

Descriptive statistics

Standard deviation9.8121699
Coefficient of variation (CV)0.11760156
Kurtosis1.0453703
Mean83.435714
Median Absolute Deviation (MAD)5.95
Skewness-0.4827769
Sum2336.2
Variance96.278677
MonotonicityNot monotonic
2024-03-16T13:14:47.277289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
85.9 2
 
7.1%
84.5 1
 
3.6%
56.5 1
 
3.6%
99.3 1
 
3.6%
89.7 1
 
3.6%
101.7 1
 
3.6%
95.2 1
 
3.6%
93.4 1
 
3.6%
78.0 1
 
3.6%
88.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
56.5 1
3.6%
66.7 1
3.6%
72.1 1
3.6%
72.7 1
3.6%
77.7 1
3.6%
78.0 1
3.6%
78.7 1
3.6%
78.8 1
3.6%
79.0 1
3.6%
79.7 1
3.6%
ValueCountFrequency (%)
101.7 1
3.6%
99.3 1
3.6%
96.9 1
3.6%
95.2 1
3.6%
93.4 1
3.6%
92.3 1
3.6%
89.7 1
3.6%
88.5 1
3.6%
86.0 1
3.6%
85.9 2
7.1%

2012-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.325
Minimum57.2
Maximum100.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:47.790162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.2
5-th percentile68.365
Q178.625
median84.5
Q388.55
95-th percentile98.085
Maximum100.6
Range43.4
Interquartile range (IQR)9.925

Descriptive statistics

Standard deviation9.7301603
Coefficient of variation (CV)0.1167736
Kurtosis0.76926662
Mean83.325
Median Absolute Deviation (MAD)5.75
Skewness-0.45230375
Sum2333.1
Variance94.676019
MonotonicityNot monotonic
2024-03-16T13:14:47.906456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
85.6 2
 
7.1%
85.0 1
 
3.6%
73.1 1
 
3.6%
57.2 1
 
3.6%
99.1 1
 
3.6%
86.5 1
 
3.6%
90.2 1
 
3.6%
100.6 1
 
3.6%
95.7 1
 
3.6%
94.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.2 1
3.6%
67.0 1
3.6%
70.9 1
3.6%
73.1 1
3.6%
77.1 1
3.6%
77.9 1
3.6%
78.4 1
3.6%
78.7 1
3.6%
78.8 1
3.6%
79.2 1
3.6%
ValueCountFrequency (%)
100.6 1
3.6%
99.1 1
3.6%
96.2 1
3.6%
95.7 1
3.6%
94.1 1
3.6%
92.3 1
3.6%
90.2 1
3.6%
88.0 1
3.6%
86.5 1
3.6%
85.9 1
3.6%

2012-04
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.153571
Minimum57.4
Maximum100.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:48.090604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.4
5-th percentile68.11
Q178.225
median83.95
Q388.125
95-th percentile97.89
Maximum100.3
Range42.9
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation9.8022855
Coefficient of variation (CV)0.11788171
Kurtosis0.5178813
Mean83.153571
Median Absolute Deviation (MAD)5.8
Skewness-0.416969
Sum2328.3
Variance96.084802
MonotonicityNot monotonic
2024-03-16T13:14:48.240418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
87.2 2
 
7.1%
94.7 2
 
7.1%
84.7 1
 
3.6%
85.0 1
 
3.6%
57.4 1
 
3.6%
98.8 1
 
3.6%
90.9 1
 
3.6%
100.3 1
 
3.6%
96.2 1
 
3.6%
78.0 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
57.4 1
3.6%
67.2 1
3.6%
69.8 1
3.6%
73.3 1
3.6%
76.2 1
3.6%
77.8 1
3.6%
78.0 1
3.6%
78.3 1
3.6%
78.5 1
3.6%
79.0 1
3.6%
ValueCountFrequency (%)
100.3 1
3.6%
98.8 1
3.6%
96.2 1
3.6%
94.7 2
7.1%
92.5 1
3.6%
90.9 1
3.6%
87.2 2
7.1%
86.8 1
3.6%
86.7 1
3.6%
85.6 1
3.6%

2012-05
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.057143
Minimum57.7
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:48.353978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.7
5-th percentile68.165
Q177.8
median83.6
Q388.425
95-th percentile97.735
Maximum99.9
Range42.2
Interquartile range (IQR)10.625

Descriptive statistics

Standard deviation9.7665881
Coefficient of variation (CV)0.11758878
Kurtosis0.38005743
Mean83.057143
Median Absolute Deviation (MAD)5.9
Skewness-0.39447386
Sum2325.6
Variance95.386243
MonotonicityNot monotonic
2024-03-16T13:14:48.497030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
87.5 2
 
7.1%
84.4 1
 
3.6%
82.8 1
 
3.6%
57.7 1
 
3.6%
98.4 1
 
3.6%
91.2 1
 
3.6%
99.9 1
 
3.6%
96.5 1
 
3.6%
94.5 1
 
3.6%
77.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.7 1
3.6%
67.5 1
3.6%
69.4 1
3.6%
73.8 1
3.6%
75.8 1
3.6%
77.2 1
3.6%
77.5 1
3.6%
77.9 1
3.6%
78.5 1
3.6%
78.7 1
3.6%
ValueCountFrequency (%)
99.9 1
3.6%
98.4 1
3.6%
96.5 1
3.6%
94.5 1
3.6%
94.4 1
3.6%
92.3 1
3.6%
91.2 1
3.6%
87.5 2
7.1%
87.2 1
3.6%
86.7 1
3.6%

2012-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.75
Minimum57.2
Maximum99.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:48.670889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.2
5-th percentile68.295
Q177.875
median83.1
Q388.65
95-th percentile97.155
Maximum99.5
Range42.3
Interquartile range (IQR)10.775

Descriptive statistics

Standard deviation9.7139266
Coefficient of variation (CV)0.11738884
Kurtosis0.42316916
Mean82.75
Median Absolute Deviation (MAD)5.3
Skewness-0.41592192
Sum2317
Variance94.36037
MonotonicityNot monotonic
2024-03-16T13:14:48.859887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
77.9 2
 
7.1%
84.1 1
 
3.6%
73.7 1
 
3.6%
57.2 1
 
3.6%
97.4 1
 
3.6%
88.3 1
 
3.6%
89.4 1
 
3.6%
99.5 1
 
3.6%
96.7 1
 
3.6%
94.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.2 1
3.6%
67.7 1
3.6%
69.4 1
3.6%
73.7 1
3.6%
75.2 1
3.6%
76.8 1
3.6%
77.8 1
3.6%
77.9 2
7.1%
78.0 1
3.6%
78.3 1
3.6%
ValueCountFrequency (%)
99.5 1
3.6%
97.4 1
3.6%
96.7 1
3.6%
94.0 1
3.6%
93.8 1
3.6%
92.0 1
3.6%
89.4 1
3.6%
88.4 1
3.6%
88.3 1
3.6%
87.5 1
3.6%

2012-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.203571
Minimum55.9
Maximum98.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:49.040094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.9
5-th percentile67.935
Q176.65
median81.95
Q388.975
95-th percentile96.965
Maximum98.2
Range42.3
Interquartile range (IQR)12.325

Descriptive statistics

Standard deviation9.9937566
Coefficient of variation (CV)0.12157327
Kurtosis0.31728314
Mean82.203571
Median Absolute Deviation (MAD)6.2
Skewness-0.40849159
Sum2301.7
Variance99.875172
MonotonicityNot monotonic
2024-03-16T13:14:49.254881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
88.6 2
 
7.1%
83.4 1
 
3.6%
81.2 1
 
3.6%
55.9 1
 
3.6%
96.9 1
 
3.6%
90.1 1
 
3.6%
98.2 1
 
3.6%
97.0 1
 
3.6%
94.9 1
 
3.6%
77.3 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
55.9 1
3.6%
67.9 1
3.6%
68.0 1
3.6%
73.6 1
3.6%
74.2 1
3.6%
76.2 1
3.6%
76.5 1
3.6%
76.7 1
3.6%
77.0 1
3.6%
77.2 1
3.6%
ValueCountFrequency (%)
98.2 1
3.6%
97.0 1
3.6%
96.9 1
3.6%
94.9 1
3.6%
93.2 1
3.6%
91.8 1
3.6%
90.1 1
3.6%
88.6 2
7.1%
87.5 1
3.6%
85.2 1
3.6%

2012-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.203571
Minimum56.3
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:49.506013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.3
5-th percentile67.56
Q176.375
median81.5
Q389.625
95-th percentile97.59
Maximum98.6
Range42.3
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation10.169325
Coefficient of variation (CV)0.12370904
Kurtosis0.095196587
Mean82.203571
Median Absolute Deviation (MAD)6.9
Skewness-0.32408446
Sum2301.7
Variance103.41517
MonotonicityNot monotonic
2024-03-16T13:14:50.147879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
89.3 2
 
7.1%
83.4 1
 
3.6%
80.7 1
 
3.6%
56.3 1
 
3.6%
97.2 1
 
3.6%
90.6 1
 
3.6%
98.6 1
 
3.6%
97.8 1
 
3.6%
95.2 1
 
3.6%
77.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
56.3 1
3.6%
67.0 1
3.6%
68.6 1
3.6%
73.5 1
3.6%
73.6 1
3.6%
75.5 1
3.6%
76.3 1
3.6%
76.4 1
3.6%
76.6 1
3.6%
76.7 1
3.6%
ValueCountFrequency (%)
98.6 1
3.6%
97.8 1
3.6%
97.2 1
3.6%
95.2 1
3.6%
92.7 1
3.6%
92.2 1
3.6%
90.6 1
3.6%
89.3 2
7.1%
87.3 1
3.6%
85.2 1
3.6%

2012-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.332143
Minimum59.4
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:51.152008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.4
5-th percentile67.02
Q176.35
median81.1
Q390.1
95-th percentile96.965
Maximum98
Range38.6
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation9.8658804
Coefficient of variation (CV)0.11983024
Kurtosis-0.35821733
Mean82.332143
Median Absolute Deviation (MAD)6.75
Skewness-0.21609889
Sum2305.3
Variance97.335595
MonotonicityNot monotonic
2024-03-16T13:14:51.660105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.3 1
 
3.6%
74.1 1
 
3.6%
59.4 1
 
3.6%
96.9 1
 
3.6%
89.9 1
 
3.6%
90.7 1
 
3.6%
97.0 1
 
3.6%
98.0 1
 
3.6%
95.5 1
 
3.6%
78.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
59.4 1
3.6%
65.9 1
3.6%
69.1 1
3.6%
73.2 1
3.6%
74.1 1
3.6%
75.2 1
3.6%
76.2 1
3.6%
76.4 1
3.6%
77.0 1
3.6%
77.5 1
3.6%
ValueCountFrequency (%)
98.0 1
3.6%
97.0 1
3.6%
96.9 1
3.6%
95.5 1
3.6%
93.2 1
3.6%
92.2 1
3.6%
90.7 1
3.6%
89.9 1
3.6%
89.4 1
3.6%
87.6 1
3.6%

2012-10
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.357143
Minimum58.8
Maximum98.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:51.867800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.8
5-th percentile67.59
Q176.025
median80.85
Q390.625
95-th percentile97.03
Maximum98.5
Range39.7
Interquartile range (IQR)14.6

Descriptive statistics

Standard deviation10.052618
Coefficient of variation (CV)0.12206128
Kurtosis-0.39925362
Mean82.357143
Median Absolute Deviation (MAD)6.8
Skewness-0.18714547
Sum2306
Variance101.05513
MonotonicityNot monotonic
2024-03-16T13:14:52.061645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
76.2 2
 
7.1%
83.3 1
 
3.6%
93.4 1
 
3.6%
58.8 1
 
3.6%
96.9 1
 
3.6%
90.7 1
 
3.6%
90.6 1
 
3.6%
97.1 1
 
3.6%
98.5 1
 
3.6%
96.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
58.8 1
3.6%
66.4 1
3.6%
69.8 1
3.6%
73.0 1
3.6%
74.3 1
3.6%
74.8 1
3.6%
75.5 1
3.6%
76.2 2
7.1%
76.9 1
3.6%
77.7 1
3.6%
ValueCountFrequency (%)
98.5 1
3.6%
97.1 1
3.6%
96.9 1
3.6%
96.1 1
3.6%
93.4 1
3.6%
92.4 1
3.6%
90.7 1
3.6%
90.6 1
3.6%
90.2 1
3.6%
87.9 1
3.6%

2012-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.107143
Minimum58.9
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:52.229590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.9
5-th percentile67.465
Q175.7
median80.3
Q391.225
95-th percentile95.92
Maximum98.6
Range39.7
Interquartile range (IQR)15.525

Descriptive statistics

Standard deviation9.9447335
Coefficient of variation (CV)0.12111898
Kurtosis-0.43113174
Mean82.107143
Median Absolute Deviation (MAD)6.1
Skewness-0.1815089
Sum2299
Variance98.897725
MonotonicityNot monotonic
2024-03-16T13:14:52.370032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
82.9 1
 
3.6%
74.3 1
 
3.6%
58.9 1
 
3.6%
96.2 1
 
3.6%
91.0 1
 
3.6%
90.0 1
 
3.6%
95.2 1
 
3.6%
98.6 1
 
3.6%
95.4 1
 
3.6%
78.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
58.9 1
3.6%
66.1 1
3.6%
70.0 1
3.6%
72.8 1
3.6%
74.3 1
3.6%
74.6 1
3.6%
75.1 1
3.6%
75.9 1
3.6%
76.4 1
3.6%
76.6 1
3.6%
ValueCountFrequency (%)
98.6 1
3.6%
96.2 1
3.6%
95.4 1
3.6%
95.2 1
3.6%
93.1 1
3.6%
92.9 1
3.6%
91.9 1
3.6%
91.0 1
3.6%
90.0 1
3.6%
86.5 1
3.6%

2012-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.185714
Minimum56.6
Maximum97.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:52.559854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.6
5-th percentile67.005
Q174.925
median79.6
Q390.3
95-th percentile94.885
Maximum97.8
Range41.2
Interquartile range (IQR)15.375

Descriptive statistics

Standard deviation9.9041598
Coefficient of variation (CV)0.12199387
Kurtosis-0.12572067
Mean81.185714
Median Absolute Deviation (MAD)6.25
Skewness-0.27680148
Sum2273.2
Variance98.092381
MonotonicityNot monotonic
2024-03-16T13:14:52.739727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
82.1 1
 
3.6%
73.4 1
 
3.6%
56.6 1
 
3.6%
95.2 1
 
3.6%
90.2 1
 
3.6%
88.3 1
 
3.6%
93.2 1
 
3.6%
97.8 1
 
3.6%
94.3 1
 
3.6%
76.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
56.6 1
3.6%
65.5 1
3.6%
69.8 1
3.6%
72.1 1
3.6%
73.4 1
3.6%
74.1 1
3.6%
74.7 1
3.6%
75.0 1
3.6%
75.6 1
3.6%
75.8 1
3.6%
ValueCountFrequency (%)
97.8 1
3.6%
95.2 1
3.6%
94.3 1
3.6%
93.2 1
3.6%
92.7 1
3.6%
91.6 1
3.6%
90.6 1
3.6%
90.2 1
3.6%
88.3 1
3.6%
85.9 1
3.6%

2013-01
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.321429
Minimum57.5
Maximum99.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:52.889066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.5
5-th percentile67.95
Q175.5
median79.9
Q392.425
95-th percentile96.395
Maximum99.7
Range42.2
Interquartile range (IQR)16.925

Descriptive statistics

Standard deviation10.331016
Coefficient of variation (CV)0.12549607
Kurtosis-0.32876824
Mean82.321429
Median Absolute Deviation (MAD)6.55
Skewness-0.19125415
Sum2305
Variance106.72989
MonotonicityNot monotonic
2024-03-16T13:14:53.065679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
75.5 2
 
7.1%
93.7 2
 
7.1%
83.0 1
 
3.6%
74.9 1
 
3.6%
57.5 1
 
3.6%
96.2 1
 
3.6%
92.5 1
 
3.6%
90.5 1
 
3.6%
95.6 1
 
3.6%
99.7 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
57.5 1
3.6%
66.2 1
3.6%
71.2 1
3.6%
72.4 1
3.6%
73.9 1
3.6%
74.9 1
3.6%
75.5 2
7.1%
75.9 1
3.6%
76.6 1
3.6%
78.2 1
3.6%
ValueCountFrequency (%)
99.7 1
3.6%
96.5 1
3.6%
96.2 1
3.6%
95.6 1
3.6%
93.7 2
7.1%
92.5 1
3.6%
92.4 1
3.6%
90.5 1
3.6%
87.0 1
3.6%
85.7 1
3.6%

2013-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.335714
Minimum56.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:53.214505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.8
5-th percentile68.515
Q175.5
median79.75
Q392.55
95-th percentile96.785
Maximum100
Range43.2
Interquartile range (IQR)17.05

Descriptive statistics

Standard deviation10.422171
Coefficient of variation (CV)0.12658141
Kurtosis-0.22467614
Mean82.335714
Median Absolute Deviation (MAD)6.55
Skewness-0.18584889
Sum2305.4
Variance108.62164
MonotonicityNot monotonic
2024-03-16T13:14:53.379082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.1 1
 
3.6%
75.2 1
 
3.6%
56.8 1
 
3.6%
96.2 1
 
3.6%
93.0 1
 
3.6%
88.8 1
 
3.6%
95.5 1
 
3.6%
100.0 1
 
3.6%
97.1 1
 
3.6%
78.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
56.8 1
3.6%
66.8 1
3.6%
71.7 1
3.6%
72.7 1
3.6%
73.7 1
3.6%
74.2 1
3.6%
75.2 1
3.6%
75.6 1
3.6%
76.0 1
3.6%
76.5 1
3.6%
ValueCountFrequency (%)
100.0 1
3.6%
97.1 1
3.6%
96.2 1
3.6%
95.5 1
3.6%
94.6 1
3.6%
93.9 1
3.6%
93.0 1
3.6%
92.4 1
3.6%
88.8 1
3.6%
86.9 1
3.6%

2013-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.721429
Minimum55.1
Maximum100.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:53.587481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.1
5-th percentile69.445
Q176.025
median80.15
Q393.05
95-th percentile97.165
Maximum100.4
Range45.3
Interquartile range (IQR)17.025

Descriptive statistics

Standard deviation10.476477
Coefficient of variation (CV)0.12664767
Kurtosis0.22997417
Mean82.721429
Median Absolute Deviation (MAD)6.35
Skewness-0.31680303
Sum2316.2
Variance109.75656
MonotonicityNot monotonic
2024-03-16T13:14:53.779102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
83.5 2
 
7.1%
79.7 1
 
3.6%
55.1 1
 
3.6%
97.1 1
 
3.6%
94.0 1
 
3.6%
89.5 1
 
3.6%
95.4 1
 
3.6%
100.4 1
 
3.6%
97.2 1
 
3.6%
78.3 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
55.1 1
3.6%
67.8 1
3.6%
72.5 1
3.6%
73.4 1
3.6%
74.5 1
3.6%
75.7 1
3.6%
75.8 1
3.6%
76.1 1
3.6%
76.5 1
3.6%
76.9 1
3.6%
ValueCountFrequency (%)
100.4 1
3.6%
97.2 1
3.6%
97.1 1
3.6%
95.4 1
3.6%
94.1 1
3.6%
94.0 1
3.6%
93.8 1
3.6%
92.8 1
3.6%
89.5 1
3.6%
87.2 1
3.6%

2013-04
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum56.1
Maximum100.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:53.978664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.1
5-th percentile70.055
Q176.175
median80.35
Q393.375
95-th percentile97.49
Maximum100.4
Range44.3
Interquartile range (IQR)17.2

Descriptive statistics

Standard deviation10.385068
Coefficient of variation (CV)0.1251213
Kurtosis0.093481638
Mean83
Median Absolute Deviation (MAD)6.35
Skewness-0.26780262
Sum2324
Variance107.84963
MonotonicityNot monotonic
2024-03-16T13:14:54.179893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
83.8 2
 
7.1%
80.0 1
 
3.6%
56.1 1
 
3.6%
97.7 1
 
3.6%
95.0 1
 
3.6%
89.1 1
 
3.6%
95.4 1
 
3.6%
100.4 1
 
3.6%
97.1 1
 
3.6%
78.3 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
56.1 1
3.6%
68.2 1
3.6%
73.5 1
3.6%
73.7 1
3.6%
75.1 1
3.6%
75.6 1
3.6%
76.1 1
3.6%
76.2 1
3.6%
76.3 1
3.6%
77.0 1
3.6%
ValueCountFrequency (%)
100.4 1
3.6%
97.7 1
3.6%
97.1 1
3.6%
95.4 1
3.6%
95.0 1
3.6%
94.3 1
3.6%
94.2 1
3.6%
93.1 1
3.6%
89.1 1
3.6%
87.6 1
3.6%

2013-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.246429
Minimum57.2
Maximum100.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:54.337322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.2
5-th percentile70.26
Q176.4
median80.6
Q393.55
95-th percentile97.465
Maximum100.6
Range43.4
Interquartile range (IQR)17.15

Descriptive statistics

Standard deviation10.261416
Coefficient of variation (CV)0.12326554
Kurtosis-0.014866212
Mean83.246429
Median Absolute Deviation (MAD)6.1
Skewness-0.21562654
Sum2330.9
Variance105.29665
MonotonicityNot monotonic
2024-03-16T13:14:54.509956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
76.4 2
 
7.1%
95.1 2
 
7.1%
84.0 1
 
3.6%
76.0 1
 
3.6%
57.2 1
 
3.6%
97.5 1
 
3.6%
95.7 1
 
3.6%
88.9 1
 
3.6%
100.6 1
 
3.6%
97.4 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
57.2 1
3.6%
68.3 1
3.6%
73.9 1
3.6%
74.3 1
3.6%
75.2 1
3.6%
76.0 1
3.6%
76.4 2
7.1%
77.0 1
3.6%
77.1 1
3.6%
78.7 1
3.6%
ValueCountFrequency (%)
100.6 1
3.6%
97.5 1
3.6%
97.4 1
3.6%
95.7 1
3.6%
95.1 2
7.1%
94.6 1
3.6%
93.2 1
3.6%
88.9 1
3.6%
87.0 1
3.6%
86.5 1
3.6%

2013-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.832143
Minimum54.8
Maximum100.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:54.686267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.8
5-th percentile69.695
Q175.975
median80.3
Q393.075
95-th percentile97.09
Maximum100.5
Range45.7
Interquartile range (IQR)17.1

Descriptive statistics

Standard deviation10.444955
Coefficient of variation (CV)0.12609784
Kurtosis0.39910524
Mean82.832143
Median Absolute Deviation (MAD)5.7
Skewness-0.34445951
Sum2319.3
Variance109.09708
MonotonicityNot monotonic
2024-03-16T13:14:54.912979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
74.9 2
 
7.1%
83.7 1
 
3.6%
94.6 1
 
3.6%
54.8 1
 
3.6%
97.3 1
 
3.6%
95.9 1
 
3.6%
87.6 1
 
3.6%
94.3 1
 
3.6%
100.5 1
 
3.6%
96.7 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
54.8 1
3.6%
67.7 1
3.6%
73.4 1
3.6%
74.9 2
7.1%
75.1 1
3.6%
75.9 1
3.6%
76.0 1
3.6%
76.8 1
3.6%
76.9 1
3.6%
78.0 1
3.6%
ValueCountFrequency (%)
100.5 1
3.6%
97.3 1
3.6%
96.7 1
3.6%
95.9 1
3.6%
94.6 1
3.6%
94.3 1
3.6%
94.2 1
3.6%
92.7 1
3.6%
87.6 1
3.6%
87.0 1
3.6%

2013-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.460714
Minimum56.5
Maximum101.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:55.159517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.5
5-th percentile69.4
Q176.7
median80.65
Q393.6
95-th percentile98.19
Maximum101.2
Range44.7
Interquartile range (IQR)16.9

Descriptive statistics

Standard deviation10.571041
Coefficient of variation (CV)0.12665889
Kurtosis0.058100653
Mean83.460714
Median Absolute Deviation (MAD)6.25
Skewness-0.24487521
Sum2336.9
Variance111.74692
MonotonicityNot monotonic
2024-03-16T13:14:55.317007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
77.3 2
 
7.1%
84.3 1
 
3.6%
95.1 1
 
3.6%
56.5 1
 
3.6%
98.4 1
 
3.6%
97.6 1
 
3.6%
88.8 1
 
3.6%
95.7 1
 
3.6%
101.2 1
 
3.6%
97.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
56.5 1
3.6%
67.3 1
3.6%
73.3 1
3.6%
74.8 1
3.6%
75.3 1
3.6%
76.0 1
3.6%
76.4 1
3.6%
76.8 1
3.6%
77.3 2
7.1%
79.0 1
3.6%
ValueCountFrequency (%)
101.2 1
3.6%
98.4 1
3.6%
97.8 1
3.6%
97.6 1
3.6%
95.7 1
3.6%
95.1 1
3.6%
93.9 1
3.6%
93.5 1
3.6%
88.8 1
3.6%
87.8 1
3.6%

2013-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.871429
Minimum57.4
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:55.485049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.4
5-th percentile69.93
Q177.3
median81.2
Q394.225
95-th percentile98.69
Maximum102
Range44.6
Interquartile range (IQR)16.925

Descriptive statistics

Standard deviation10.520557
Coefficient of variation (CV)0.12543672
Kurtosis-0.0014458455
Mean83.871429
Median Absolute Deviation (MAD)6.3
Skewness-0.19972368
Sum2348.4
Variance110.68212
MonotonicityNot monotonic
2024-03-16T13:14:55.704978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
77.3 2
 
7.1%
84.6 1
 
3.6%
95.4 1
 
3.6%
57.4 1
 
3.6%
98.9 1
 
3.6%
98.3 1
 
3.6%
88.9 1
 
3.6%
95.5 1
 
3.6%
102.0 1
 
3.6%
98.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.4 1
3.6%
67.9 1
3.6%
73.7 1
3.6%
75.0 1
3.6%
76.1 1
3.6%
76.3 1
3.6%
77.3 2
7.1%
77.4 1
3.6%
77.6 1
3.6%
78.8 1
3.6%
ValueCountFrequency (%)
102.0 1
3.6%
98.9 1
3.6%
98.3 1
3.6%
98.0 1
3.6%
95.5 1
3.6%
95.4 1
3.6%
94.3 1
3.6%
94.2 1
3.6%
88.9 1
3.6%
88.1 1
3.6%

2013-09
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.439286
Minimum57.8
Maximum102.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:55.957949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.8
5-th percentile70.4
Q177.8
median81.7
Q394.95
95-th percentile99.2
Maximum102.3
Range44.5
Interquartile range (IQR)17.15

Descriptive statistics

Standard deviation10.62622
Coefficient of variation (CV)0.1258445
Kurtosis-0.038679104
Mean84.439286
Median Absolute Deviation (MAD)6.45
Skewness-0.19875562
Sum2364.3
Variance112.91655
MonotonicityNot monotonic
2024-03-16T13:14:56.193818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
99.2 2
 
7.1%
85.2 1
 
3.6%
81.0 1
 
3.6%
57.8 1
 
3.6%
88.6 1
 
3.6%
96.1 1
 
3.6%
102.3 1
 
3.6%
99.1 1
 
3.6%
79.6 1
 
3.6%
85.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.8 1
3.6%
68.3 1
3.6%
74.3 1
3.6%
75.3 1
3.6%
75.6 1
3.6%
77.1 1
3.6%
77.5 1
3.6%
77.9 1
3.6%
78.0 1
3.6%
78.5 1
3.6%
ValueCountFrequency (%)
102.3 1
3.6%
99.2 2
7.1%
99.1 1
3.6%
96.5 1
3.6%
96.1 1
3.6%
95.7 1
3.6%
94.7 1
3.6%
88.7 1
3.6%
88.6 1
3.6%
88.2 1
3.6%

2013-10
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.832143
Minimum57.8
Maximum102.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:56.408077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.8
5-th percentile70.865
Q178.2
median82.2
Q395.2
95-th percentile100.215
Maximum102.7
Range44.9
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.634781
Coefficient of variation (CV)0.12536263
Kurtosis0.060218686
Mean84.832143
Median Absolute Deviation (MAD)6.65
Skewness-0.22970104
Sum2375.3
Variance113.09856
MonotonicityNot monotonic
2024-03-16T13:14:56.589518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
82.2 2
 
7.1%
85.7 1
 
3.6%
96.3 1
 
3.6%
57.8 1
 
3.6%
99.5 1
 
3.6%
100.6 1
 
3.6%
89.0 1
 
3.6%
96.1 1
 
3.6%
102.7 1
 
3.6%
99.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
57.8 1
3.6%
68.8 1
3.6%
74.7 1
3.6%
75.1 1
3.6%
76.0 1
3.6%
77.7 1
3.6%
77.9 1
3.6%
78.3 1
3.6%
78.5 1
3.6%
79.4 1
3.6%
ValueCountFrequency (%)
102.7 1
3.6%
100.6 1
3.6%
99.5 1
3.6%
99.2 1
3.6%
96.3 1
3.6%
96.1 1
3.6%
95.5 1
3.6%
95.1 1
3.6%
89.4 1
3.6%
89.0 1
3.6%

2013-11
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.807143
Minimum58.4
Maximum102.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:56.740090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.4
5-th percentile70.6
Q178.15
median82.4
Q394.925
95-th percentile100.115
Maximum102.7
Range44.3
Interquartile range (IQR)16.775

Descriptive statistics

Standard deviation10.522707
Coefficient of variation (CV)0.12407807
Kurtosis0.023045243
Mean84.807143
Median Absolute Deviation (MAD)6.45
Skewness-0.20927219
Sum2374.6
Variance110.72735
MonotonicityNot monotonic
2024-03-16T13:14:56.908939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
82.4 2
 
7.1%
77.4 2
 
7.1%
85.7 1
 
3.6%
89.6 1
 
3.6%
58.4 1
 
3.6%
99.3 1
 
3.6%
100.5 1
 
3.6%
88.1 1
 
3.6%
95.6 1
 
3.6%
102.7 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
58.4 1
3.6%
68.5 1
3.6%
74.5 1
3.6%
75.7 1
3.6%
75.8 1
3.6%
77.4 2
7.1%
78.4 1
3.6%
78.9 1
3.6%
79.6 1
3.6%
80.4 1
3.6%
ValueCountFrequency (%)
102.7 1
3.6%
100.5 1
3.6%
99.4 1
3.6%
99.3 1
3.6%
96.3 1
3.6%
95.6 1
3.6%
95.0 1
3.6%
94.9 1
3.6%
89.6 1
3.6%
88.7 1
3.6%

2013-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.914286
Minimum58.2
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:57.173511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.2
5-th percentile70.53
Q178.125
median82.45
Q394.925
95-th percentile100.495
Maximum103
Range44.8
Interquartile range (IQR)16.8

Descriptive statistics

Standard deviation10.748496
Coefficient of variation (CV)0.12658053
Kurtosis-0.034188327
Mean84.914286
Median Absolute Deviation (MAD)6.5
Skewness-0.17537713
Sum2377.6
Variance115.53016
MonotonicityNot monotonic
2024-03-16T13:14:57.390214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.7 1
 
3.6%
79.0 1
 
3.6%
58.2 1
 
3.6%
99.2 1
 
3.6%
100.6 1
 
3.6%
87.1 1
 
3.6%
95.0 1
 
3.6%
103.0 1
 
3.6%
100.3 1
 
3.6%
80.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
58.2 1
3.6%
68.5 1
3.6%
74.3 1
3.6%
74.9 1
3.6%
75.8 1
3.6%
77.3 1
3.6%
77.6 1
3.6%
78.3 1
3.6%
79.0 1
3.6%
80.0 1
3.6%
ValueCountFrequency (%)
103.0 1
3.6%
100.6 1
3.6%
100.3 1
3.6%
99.2 1
3.6%
98.6 1
3.6%
96.4 1
3.6%
95.0 1
3.6%
94.9 1
3.6%
89.5 1
3.6%
88.8 1
3.6%

2014-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.607143
Minimum59.6
Maximum104.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:58.027823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.6
5-th percentile71.23
Q178.4
median83.05
Q395.45
95-th percentile101.52
Maximum104.1
Range44.5
Interquartile range (IQR)17.05

Descriptive statistics

Standard deviation10.791249
Coefficient of variation (CV)0.12605548
Kurtosis-0.16635658
Mean85.607143
Median Absolute Deviation (MAD)6.5
Skewness-0.093614698
Sum2397
Variance116.45106
MonotonicityNot monotonic
2024-03-16T13:14:58.246308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
79.9 2
 
7.1%
86.3 1
 
3.6%
81.8 1
 
3.6%
59.6 1
 
3.6%
99.9 1
 
3.6%
101.8 1
 
3.6%
87.6 1
 
3.6%
95.4 1
 
3.6%
104.1 1
 
3.6%
101.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
59.6 1
3.6%
69.2 1
3.6%
75.0 1
3.6%
75.6 1
3.6%
76.4 1
3.6%
77.9 1
3.6%
78.1 1
3.6%
78.5 1
3.6%
79.9 2
7.1%
81.8 1
3.6%
ValueCountFrequency (%)
104.1 1
3.6%
101.8 1
3.6%
101.0 1
3.6%
100.3 1
3.6%
99.9 1
3.6%
96.8 1
3.6%
95.6 1
3.6%
95.4 1
3.6%
90.1 1
3.6%
89.4 1
3.6%

2014-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.1
Minimum59.4
Maximum104.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:58.467544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.4
5-th percentile72.025
Q178.875
median83.55
Q395.9
95-th percentile102.35
Maximum104.4
Range45
Interquartile range (IQR)17.025

Descriptive statistics

Standard deviation10.794649
Coefficient of variation (CV)0.12537339
Kurtosis-0.035784613
Mean86.1
Median Absolute Deviation (MAD)6.65
Skewness-0.13710983
Sum2410.8
Variance116.52444
MonotonicityNot monotonic
2024-03-16T13:14:58.671608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.8 1
 
3.6%
80.2 1
 
3.6%
59.4 1
 
3.6%
100.6 1
 
3.6%
102.7 1
 
3.6%
87.9 1
 
3.6%
95.8 1
 
3.6%
104.4 1
 
3.6%
101.7 1
 
3.6%
80.7 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
59.4 1
3.6%
70.1 1
3.6%
75.6 1
3.6%
76.0 1
3.6%
76.6 1
3.6%
78.6 1
3.6%
78.8 1
3.6%
78.9 1
3.6%
80.2 1
3.6%
80.7 1
3.6%
ValueCountFrequency (%)
104.4 1
3.6%
102.7 1
3.6%
101.7 1
3.6%
100.6 1
3.6%
99.9 1
3.6%
96.9 1
3.6%
96.2 1
3.6%
95.8 1
3.6%
90.6 1
3.6%
89.9 1
3.6%

2014-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.571429
Minimum59.4
Maximum105.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:58.853101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.4
5-th percentile72.685
Q179.275
median84.15
Q395.725
95-th percentile103.25
Maximum105.4
Range46
Interquartile range (IQR)16.45

Descriptive statistics

Standard deviation10.851825
Coefficient of variation (CV)0.12535112
Kurtosis0.070209069
Mean86.571429
Median Absolute Deviation (MAD)6.75
Skewness-0.14318924
Sum2424
Variance117.76212
MonotonicityNot monotonic
2024-03-16T13:14:59.169237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84.1 2
 
7.1%
87.4 1
 
3.6%
97.0 1
 
3.6%
59.4 1
 
3.6%
101.5 1
 
3.6%
103.6 1
 
3.6%
88.2 1
 
3.6%
95.4 1
 
3.6%
105.4 1
 
3.6%
102.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
59.4 1
3.6%
70.9 1
3.6%
76.0 1
3.6%
76.5 1
3.6%
77.0 1
3.6%
78.7 1
3.6%
79.2 1
3.6%
79.3 1
3.6%
80.7 1
3.6%
81.0 1
3.6%
ValueCountFrequency (%)
105.4 1
3.6%
103.6 1
3.6%
102.6 1
3.6%
101.5 1
3.6%
99.3 1
3.6%
97.0 1
3.6%
96.7 1
3.6%
95.4 1
3.6%
91.4 1
3.6%
90.5 1
3.6%

2014-04
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.55
Minimum59.7
Maximum105.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:59.492828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.7
5-th percentile72.36
Q179.225
median84.35
Q395.75
95-th percentile103.645
Maximum105.5
Range45.8
Interquartile range (IQR)16.525

Descriptive statistics

Standard deviation10.864536
Coefficient of variation (CV)0.12552902
Kurtosis0.039402855
Mean86.55
Median Absolute Deviation (MAD)6.8
Skewness-0.12166198
Sum2423.4
Variance118.03815
MonotonicityNot monotonic
2024-03-16T13:14:59.757869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
84.3 2
 
7.1%
96.8 2
 
7.1%
87.4 1
 
3.6%
92.1 1
 
3.6%
59.7 1
 
3.6%
101.8 1
 
3.6%
104.1 1
 
3.6%
87.2 1
 
3.6%
95.4 1
 
3.6%
105.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
59.7 1
3.6%
70.4 1
3.6%
76.0 1
3.6%
76.2 1
3.6%
77.0 1
3.6%
78.8 1
3.6%
79.0 1
3.6%
79.3 1
3.6%
80.5 1
3.6%
81.2 1
3.6%
ValueCountFrequency (%)
105.5 1
3.6%
104.1 1
3.6%
102.8 1
3.6%
101.8 1
3.6%
97.8 1
3.6%
96.8 2
7.1%
95.4 1
3.6%
92.1 1
3.6%
90.6 1
3.6%
87.4 1
3.6%

2014-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.571429
Minimum60.1
Maximum105.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:14:59.920283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.1
5-th percentile72.255
Q179.2
median84.55
Q395.45
95-th percentile104.06
Maximum105.5
Range45.4
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation10.955292
Coefficient of variation (CV)0.12654627
Kurtosis-0.064523232
Mean86.571429
Median Absolute Deviation (MAD)6.75
Skewness-0.060070268
Sum2424
Variance120.01841
MonotonicityNot monotonic
2024-03-16T13:15:00.115523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
84.3 2
 
7.1%
79.2 2
 
7.1%
87.4 1
 
3.6%
91.8 1
 
3.6%
60.1 1
 
3.6%
101.7 1
 
3.6%
104.2 1
 
3.6%
86.2 1
 
3.6%
95.2 1
 
3.6%
105.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
60.1 1
3.6%
70.4 1
3.6%
75.7 1
3.6%
76.4 1
3.6%
76.9 1
3.6%
78.3 1
3.6%
79.2 2
7.1%
80.3 1
3.6%
81.1 1
3.6%
82.8 1
3.6%
ValueCountFrequency (%)
105.5 1
3.6%
104.2 1
3.6%
103.8 1
3.6%
101.7 1
3.6%
99.7 1
3.6%
96.8 1
3.6%
96.2 1
3.6%
95.2 1
3.6%
91.8 1
3.6%
90.6 1
3.6%

2014-06
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.55
Minimum60.9
Maximum106.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:00.296403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.9
5-th percentile72.22
Q178.875
median84.65
Q395.25
95-th percentile104.6
Maximum106.1
Range45.2
Interquartile range (IQR)16.375

Descriptive statistics

Standard deviation10.981618
Coefficient of variation (CV)0.12688178
Kurtosis-0.15326124
Mean86.55
Median Absolute Deviation (MAD)6.9
Skewness0.01218927
Sum2423.4
Variance120.59593
MonotonicityNot monotonic
2024-03-16T13:15:00.462456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
84.3 2
 
7.1%
75.6 2
 
7.1%
104.6 2
 
7.1%
87.4 1
 
3.6%
96.6 1
 
3.6%
60.9 1
 
3.6%
102.0 1
 
3.6%
86.5 1
 
3.6%
94.8 1
 
3.6%
106.1 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
60.9 1
3.6%
70.4 1
3.6%
75.6 2
7.1%
76.6 1
3.6%
78.3 1
3.6%
78.8 1
3.6%
78.9 1
3.6%
80.5 1
3.6%
81.1 1
3.6%
82.7 1
3.6%
ValueCountFrequency (%)
106.1 1
3.6%
104.6 2
7.1%
102.0 1
3.6%
97.1 1
3.6%
97.0 1
3.6%
96.6 1
3.6%
94.8 1
3.6%
92.1 1
3.6%
90.8 1
3.6%
87.4 1
3.6%

2014-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.657143
Minimum60.8
Maximum106.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:00.641902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.8
5-th percentile72.385
Q179.275
median85.1
Q394.5
95-th percentile104.76
Maximum106.1
Range45.3
Interquartile range (IQR)15.225

Descriptive statistics

Standard deviation10.890275
Coefficient of variation (CV)0.12567083
Kurtosis-0.027142692
Mean86.657143
Median Absolute Deviation (MAD)7.05
Skewness-0.0091269358
Sum2426.4
Variance118.5981
MonotonicityNot monotonic
2024-03-16T13:15:00.823277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
84.7 2
 
7.1%
87.6 1
 
3.6%
96.2 1
 
3.6%
60.8 1
 
3.6%
102.5 1
 
3.6%
104.5 1
 
3.6%
85.5 1
 
3.6%
94.1 1
 
3.6%
106.1 1
 
3.6%
104.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
60.8 1
3.6%
70.6 1
3.6%
75.7 1
3.6%
75.9 1
3.6%
76.3 1
3.6%
78.5 1
3.6%
79.2 1
3.6%
79.3 1
3.6%
81.3 1
3.6%
81.5 1
3.6%
ValueCountFrequency (%)
106.1 1
3.6%
104.9 1
3.6%
104.5 1
3.6%
102.5 1
3.6%
97.1 1
3.6%
96.2 1
3.6%
95.7 1
3.6%
94.1 1
3.6%
92.6 1
3.6%
91.0 1
3.6%

2014-08
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.232143
Minimum61.7
Maximum107.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:00.995751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.7
5-th percentile73.345
Q179.875
median85.75
Q395.45
95-th percentile105.6
Maximum107.1
Range45.4
Interquartile range (IQR)15.575

Descriptive statistics

Standard deviation10.890297
Coefficient of variation (CV)0.1248427
Kurtosis-0.04739685
Mean87.232143
Median Absolute Deviation (MAD)6.7
Skewness0.046328922
Sum2442.5
Variance118.59856
MonotonicityNot monotonic
2024-03-16T13:15:01.140871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
85.2 2
 
7.1%
105.6 2
 
7.1%
88.2 1
 
3.6%
81.8 1
 
3.6%
61.7 1
 
3.6%
102.9 1
 
3.6%
86.3 1
 
3.6%
95.4 1
 
3.6%
107.1 1
 
3.6%
81.0 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
61.7 1
3.6%
71.7 1
3.6%
76.4 1
3.6%
76.6 1
3.6%
76.7 1
3.6%
79.1 1
3.6%
79.8 1
3.6%
79.9 1
3.6%
81.0 1
3.6%
81.8 1
3.6%
ValueCountFrequency (%)
107.1 1
3.6%
105.6 2
7.1%
102.9 1
3.6%
97.8 1
3.6%
96.3 1
3.6%
95.6 1
3.6%
95.4 1
3.6%
92.5 1
3.6%
91.6 1
3.6%
88.2 1
3.6%

2014-09
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.867857
Minimum63
Maximum107.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:01.252075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile74.04
Q180.35
median86.25
Q395.325
95-th percentile106.86
Maximum107.3
Range44.3
Interquartile range (IQR)14.975

Descriptive statistics

Standard deviation10.853743
Coefficient of variation (CV)0.12352348
Kurtosis-0.10557599
Mean87.867857
Median Absolute Deviation (MAD)7.1
Skewness0.093332312
Sum2460.3
Variance117.80374
MonotonicityNot monotonic
2024-03-16T13:15:01.425161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
85.9 2
 
7.1%
88.8 1
 
3.6%
96.5 1
 
3.6%
63.0 1
 
3.6%
103.5 1
 
3.6%
107.0 1
 
3.6%
86.6 1
 
3.6%
95.4 1
 
3.6%
107.3 1
 
3.6%
106.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
63.0 1
3.6%
72.5 1
3.6%
76.9 1
3.6%
77.1 1
3.6%
77.5 1
3.6%
79.7 1
3.6%
79.9 1
3.6%
80.5 1
3.6%
81.1 1
3.6%
82.5 1
3.6%
ValueCountFrequency (%)
107.3 1
3.6%
107.0 1
3.6%
106.6 1
3.6%
103.5 1
3.6%
98.4 1
3.6%
96.5 1
3.6%
95.4 1
3.6%
95.3 1
3.6%
93.9 1
3.6%
92.2 1
3.6%

2014-10
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.325
Minimum63.2
Maximum107.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:01.536317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.2
5-th percentile74.37
Q180.475
median86.6
Q394.9
95-th percentile107.73
Maximum107.8
Range44.6
Interquartile range (IQR)14.425

Descriptive statistics

Standard deviation10.936403
Coefficient of variation (CV)0.12382002
Kurtosis-0.052020653
Mean88.325
Median Absolute Deviation (MAD)7.1
Skewness0.10124328
Sum2473.1
Variance119.60491
MonotonicityNot monotonic
2024-03-16T13:15:01.686656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
86.6 2
 
7.1%
107.8 2
 
7.1%
89.4 1
 
3.6%
83.8 1
 
3.6%
63.2 1
 
3.6%
104.2 1
 
3.6%
86.1 1
 
3.6%
95.8 1
 
3.6%
107.6 1
 
3.6%
81.2 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
63.2 1
3.6%
72.9 1
3.6%
77.1 1
3.6%
77.5 1
3.6%
78.1 1
3.6%
80.1 1
3.6%
80.4 1
3.6%
80.5 1
3.6%
81.2 1
3.6%
83.8 1
3.6%
ValueCountFrequency (%)
107.8 2
7.1%
107.6 1
3.6%
104.2 1
3.6%
98.9 1
3.6%
96.7 1
3.6%
95.8 1
3.6%
94.6 1
3.6%
94.3 1
3.6%
92.8 1
3.6%
89.9 1
3.6%

2014-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.625
Minimum65.3
Maximum107.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:01.855902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.3
5-th percentile74.24
Q180.8
median87.2
Q395.525
95-th percentile107.49
Maximum107.8
Range42.5
Interquartile range (IQR)14.725

Descriptive statistics

Standard deviation10.781934
Coefficient of variation (CV)0.12165793
Kurtosis-0.28094943
Mean88.625
Median Absolute Deviation (MAD)7.1
Skewness0.13860356
Sum2481.5
Variance116.25009
MonotonicityNot monotonic
2024-03-16T13:15:01.966135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
89.7 1
 
3.6%
84.9 1
 
3.6%
65.3 1
 
3.6%
105.0 1
 
3.6%
107.8 1
 
3.6%
85.9 1
 
3.6%
95.4 1
 
3.6%
107.7 1
 
3.6%
107.1 1
 
3.6%
81.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
65.3 1
3.6%
72.7 1
3.6%
77.1 1
3.6%
77.5 1
3.6%
78.0 1
3.6%
80.2 1
3.6%
80.5 1
3.6%
80.9 1
3.6%
81.3 1
3.6%
84.8 1
3.6%
ValueCountFrequency (%)
107.8 1
3.6%
107.7 1
3.6%
107.1 1
3.6%
105.0 1
3.6%
99.0 1
3.6%
96.7 1
3.6%
95.9 1
3.6%
95.4 1
3.6%
94.4 1
3.6%
93.2 1
3.6%

2014-12
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.864286
Minimum67
Maximum108.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:02.104993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile74.085
Q180.725
median87.7
Q395
95-th percentile107.89
Maximum108.5
Range41.5
Interquartile range (IQR)14.275

Descriptive statistics

Standard deviation10.664174
Coefficient of variation (CV)0.12000517
Kurtosis-0.30927149
Mean88.864286
Median Absolute Deviation (MAD)7.2
Skewness0.20444234
Sum2488.2
Variance113.7246
MonotonicityNot monotonic
2024-03-16T13:15:02.254378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
86.2 2
 
7.1%
84.9 1
 
3.6%
67.0 1
 
3.6%
104.8 1
 
3.6%
108.5 1
 
3.6%
86.4 1
 
3.6%
95.3 1
 
3.6%
108.1 1
 
3.6%
107.5 1
 
3.6%
80.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
67.0 1
3.6%
72.3 1
3.6%
77.4 1
3.6%
78.1 1
3.6%
78.4 1
3.6%
80.2 1
3.6%
80.5 1
3.6%
80.8 1
3.6%
81.2 1
3.6%
84.9 1
3.6%
ValueCountFrequency (%)
108.5 1
3.6%
108.1 1
3.6%
107.5 1
3.6%
104.8 1
3.6%
99.1 1
3.6%
96.3 1
3.6%
95.3 1
3.6%
94.9 1
3.6%
93.8 1
3.6%
93.6 1
3.6%

2015-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.4
Minimum68.4
Maximum109.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:02.438419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.4
5-th percentile74.65
Q181.375
median88.55
Q395.65
95-th percentile108.025
Maximum109.4
Range41
Interquartile range (IQR)14.275

Descriptive statistics

Standard deviation10.565002
Coefficient of variation (CV)0.11817675
Kurtosis-0.34904878
Mean89.4
Median Absolute Deviation (MAD)7.15
Skewness0.22986203
Sum2503.2
Variance111.61926
MonotonicityNot monotonic
2024-03-16T13:15:02.584263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
90.5 1
 
3.6%
87.7 1
 
3.6%
68.4 1
 
3.6%
105.3 1
 
3.6%
109.4 1
 
3.6%
86.3 1
 
3.6%
95.8 1
 
3.6%
107.7 1
 
3.6%
108.2 1
 
3.6%
82.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
68.4 1
3.6%
72.9 1
3.6%
77.9 1
3.6%
78.3 1
3.6%
78.5 1
3.6%
80.7 1
3.6%
81.0 1
3.6%
81.5 1
3.6%
82.2 1
3.6%
85.4 1
3.6%
ValueCountFrequency (%)
109.4 1
3.6%
108.2 1
3.6%
107.7 1
3.6%
105.3 1
3.6%
99.7 1
3.6%
96.5 1
3.6%
95.8 1
3.6%
95.6 1
3.6%
94.3 1
3.6%
93.8 1
3.6%

2015-02
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.975
Minimum68.1
Maximum110.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:02.756536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.1
5-th percentile75.38
Q181.925
median89.6
Q396.125
95-th percentile108.2
Maximum110.4
Range42.3
Interquartile range (IQR)14.2

Descriptive statistics

Standard deviation10.613326
Coefficient of variation (CV)0.11795861
Kurtosis-0.30081831
Mean89.975
Median Absolute Deviation (MAD)7.15
Skewness0.17642738
Sum2519.3
Variance112.64269
MonotonicityNot monotonic
2024-03-16T13:15:02.942971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
94.9 2
 
7.1%
89.6 2
 
7.1%
108.2 2
 
7.1%
91.1 1
 
3.6%
96.6 1
 
3.6%
68.1 1
 
3.6%
105.8 1
 
3.6%
110.4 1
 
3.6%
86.7 1
 
3.6%
96.0 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
68.1 1
3.6%
73.7 1
3.6%
78.5 1
3.6%
78.6 1
3.6%
79.1 1
3.6%
81.3 1
3.6%
81.4 1
3.6%
82.1 1
3.6%
82.3 1
3.6%
86.0 1
3.6%
ValueCountFrequency (%)
110.4 1
3.6%
108.2 2
7.1%
105.8 1
3.6%
100.1 1
3.6%
96.6 1
3.6%
96.5 1
3.6%
96.0 1
3.6%
94.9 2
7.1%
92.7 1
3.6%
91.1 1
3.6%

2015-03
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.846429
Minimum70.6
Maximum111.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:03.246680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.6
5-th percentile76.215
Q182.675
median90.9
Q396.6
95-th percentile108.595
Maximum111.2
Range40.6
Interquartile range (IQR)13.925

Descriptive statistics

Standard deviation10.367309
Coefficient of variation (CV)0.11411906
Kurtosis-0.37667864
Mean90.846429
Median Absolute Deviation (MAD)7.05
Skewness0.2135383
Sum2543.7
Variance107.4811
MonotonicityNot monotonic
2024-03-16T13:15:03.488189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
92.0 1
 
3.6%
91.6 1
 
3.6%
70.6 1
 
3.6%
106.4 1
 
3.6%
111.2 1
 
3.6%
87.4 1
 
3.6%
95.9 1
 
3.6%
108.4 1
 
3.6%
108.7 1
 
3.6%
83.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
70.6 1
3.6%
74.5 1
3.6%
79.4 1
3.6%
79.7 1
3.6%
80.2 1
3.6%
82.0 1
3.6%
82.3 1
3.6%
82.8 1
3.6%
83.0 1
3.6%
86.9 1
3.6%
ValueCountFrequency (%)
111.2 1
3.6%
108.7 1
3.6%
108.4 1
3.6%
106.4 1
3.6%
100.7 1
3.6%
97.1 1
3.6%
96.9 1
3.6%
96.5 1
3.6%
95.9 1
3.6%
95.8 1
3.6%

2015-04
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.539286
Minimum73.1
Maximum112.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:03.691133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.1
5-th percentile76.95
Q183.4
median91.8
Q396.8
95-th percentile108.395
Maximum112.3
Range39.2
Interquartile range (IQR)13.4

Descriptive statistics

Standard deviation10.123509
Coefficient of variation (CV)0.11059196
Kurtosis-0.41948454
Mean91.539286
Median Absolute Deviation (MAD)7.2
Skewness0.27057101
Sum2563.1
Variance102.48544
MonotonicityNot monotonic
2024-03-16T13:15:03.891081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
92.7 2
 
7.1%
82.8 2
 
7.1%
96.3 1
 
3.6%
73.1 1
 
3.6%
107.1 1
 
3.6%
112.3 1
 
3.6%
87.9 1
 
3.6%
96.4 1
 
3.6%
108.2 1
 
3.6%
108.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
73.1 1
3.6%
75.2 1
3.6%
80.2 1
3.6%
80.5 1
3.6%
80.9 1
3.6%
82.8 2
7.1%
83.6 1
3.6%
84.1 1
3.6%
87.7 1
3.6%
87.9 1
3.6%
ValueCountFrequency (%)
112.3 1
3.6%
108.5 1
3.6%
108.2 1
3.6%
107.1 1
3.6%
101.2 1
3.6%
98.5 1
3.6%
97.7 1
3.6%
96.5 1
3.6%
96.4 1
3.6%
96.3 1
3.6%

2015-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.128571
Minimum75
Maximum112.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:04.124703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile77.715
Q183.95
median92.5
Q397.475
95-th percentile107.96
Maximum112.5
Range37.5
Interquartile range (IQR)13.525

Descriptive statistics

Standard deviation9.8587001
Coefficient of variation (CV)0.10701024
Kurtosis-0.51986599
Mean92.128571
Median Absolute Deviation (MAD)7.95
Skewness0.2603925
Sum2579.6
Variance97.193968
MonotonicityNot monotonic
2024-03-16T13:15:04.288752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
92.5 2
 
7.1%
83.5 2
 
7.1%
93.3 1
 
3.6%
96.5 1
 
3.6%
75.0 1
 
3.6%
107.7 1
 
3.6%
112.5 1
 
3.6%
87.9 1
 
3.6%
96.1 1
 
3.6%
108.1 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
75.0 1
3.6%
76.0 1
3.6%
80.9 1
3.6%
81.2 1
3.6%
81.6 1
3.6%
83.5 2
7.1%
84.1 1
3.6%
84.4 1
3.6%
87.9 1
3.6%
88.4 1
3.6%
ValueCountFrequency (%)
112.5 1
3.6%
108.1 1
3.6%
107.7 1
3.6%
107.4 1
3.6%
101.3 1
3.6%
100.3 1
3.6%
98.9 1
3.6%
97.0 1
3.6%
96.5 1
3.6%
96.1 1
3.6%

2015-06
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.617857
Minimum75
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:04.503012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile78.215
Q184.3
median93.3
Q398.075
95-th percentile108.03
Maximum113
Range38
Interquartile range (IQR)13.775

Descriptive statistics

Standard deviation9.8482581
Coefficient of variation (CV)0.10633217
Kurtosis-0.55307568
Mean92.617857
Median Absolute Deviation (MAD)8.3
Skewness0.20711985
Sum2593.3
Variance96.988188
MonotonicityNot monotonic
2024-03-16T13:15:04.776063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
93.8 2
 
7.1%
84.0 2
 
7.1%
94.2 1
 
3.6%
75.0 1
 
3.6%
107.9 1
 
3.6%
113.0 1
 
3.6%
87.9 1
 
3.6%
96.7 1
 
3.6%
108.1 1
 
3.6%
107.1 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
75.0 1
3.6%
76.5 1
3.6%
81.4 1
3.6%
81.6 1
3.6%
82.3 1
3.6%
84.0 2
7.1%
84.4 1
3.6%
84.9 1
3.6%
87.9 1
3.6%
88.9 1
3.6%
ValueCountFrequency (%)
113.0 1
3.6%
108.1 1
3.6%
107.9 1
3.6%
107.1 1
3.6%
101.9 1
3.6%
101.5 1
3.6%
99.8 1
3.6%
97.5 1
3.6%
96.8 1
3.6%
96.7 1
3.6%

2015-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.478571
Minimum77.1
Maximum113.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:05.001487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.1
5-th percentile79.25
Q185.45
median94.1
Q399.175
95-th percentile108.63
Maximum113.9
Range36.8
Interquartile range (IQR)13.725

Descriptive statistics

Standard deviation9.7372274
Coefficient of variation (CV)0.10416534
Kurtosis-0.60158208
Mean93.478571
Median Absolute Deviation (MAD)8.2
Skewness0.26861798
Sum2617.4
Variance94.813598
MonotonicityNot monotonic
2024-03-16T13:15:05.180834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
94.1 2
 
7.1%
94.7 1
 
3.6%
94.9 1
 
3.6%
77.1 1
 
3.6%
108.5 1
 
3.6%
113.9 1
 
3.6%
88.2 1
 
3.6%
97.0 1
 
3.6%
108.7 1
 
3.6%
107.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
77.1 1
3.6%
77.5 1
3.6%
82.5 1
3.6%
82.6 1
3.6%
83.5 1
3.6%
84.5 1
3.6%
85.0 1
3.6%
85.6 1
3.6%
85.7 1
3.6%
88.2 1
3.6%
ValueCountFrequency (%)
113.9 1
3.6%
108.7 1
3.6%
108.5 1
3.6%
107.6 1
3.6%
104.0 1
3.6%
102.1 1
3.6%
101.5 1
3.6%
98.4 1
3.6%
97.1 1
3.6%
97.0 1
3.6%

2015-08
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.146429
Minimum78
Maximum114.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:05.355460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile81.12
Q186.2
median94.8
Q399.875
95-th percentile108.765
Maximum114.4
Range36.4
Interquartile range (IQR)13.675

Descriptive statistics

Standard deviation9.5128172
Coefficient of variation (CV)0.10104278
Kurtosis-0.64615668
Mean94.146429
Median Absolute Deviation (MAD)8.25
Skewness0.31229418
Sum2636.1
Variance90.49369
MonotonicityNot monotonic
2024-03-16T13:15:05.602053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
95.4 1
 
3.6%
95.6 1
 
3.6%
80.0 1
 
3.6%
108.8 1
 
3.6%
114.4 1
 
3.6%
88.8 1
 
3.6%
97.5 1
 
3.6%
108.7 1
 
3.6%
107.4 1
 
3.6%
86.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
78.0 1
3.6%
80.0 1
3.6%
83.2 1
3.6%
83.5 1
3.6%
84.3 1
3.6%
85.2 1
3.6%
85.9 1
3.6%
86.3 1
3.6%
86.4 1
3.6%
88.8 1
3.6%
ValueCountFrequency (%)
114.4 1
3.6%
108.8 1
3.6%
108.7 1
3.6%
107.4 1
3.6%
105.3 1
3.6%
102.9 1
3.6%
102.5 1
3.6%
99.0 1
3.6%
97.5 1
3.6%
97.2 1
3.6%

2015-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.7
Minimum78.5
Maximum114.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:05.803254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.5
5-th percentile81.485
Q187.1
median95.55
Q3100.4
95-th percentile109.095
Maximum114.1
Range35.6
Interquartile range (IQR)13.3

Descriptive statistics

Standard deviation9.4324499
Coefficient of variation (CV)0.099603484
Kurtosis-0.72590761
Mean94.7
Median Absolute Deviation (MAD)8.2
Skewness0.25628834
Sum2651.6
Variance88.971111
MonotonicityNot monotonic
2024-03-16T13:15:05.987855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
96.0 1
 
3.6%
96.4 1
 
3.6%
80.4 1
 
3.6%
109.2 1
 
3.6%
114.1 1
 
3.6%
89.3 1
 
3.6%
97.8 1
 
3.6%
108.9 1
 
3.6%
107.5 1
 
3.6%
87.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
78.5 1
3.6%
80.4 1
3.6%
83.5 1
3.6%
83.9 1
3.6%
85.1 1
3.6%
85.6 1
3.6%
86.5 1
3.6%
87.3 1
3.6%
87.4 1
3.6%
89.3 1
3.6%
ValueCountFrequency (%)
114.1 1
3.6%
109.2 1
3.6%
108.9 1
3.6%
107.5 1
3.6%
106.3 1
3.6%
104.2 1
3.6%
102.8 1
3.6%
99.6 1
3.6%
97.8 1
3.6%
97.4 1
3.6%

2015-10
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.314286
Minimum79.1
Maximum113.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:06.251440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.1
5-th percentile84.47
Q187.325
median96.05
Q3100.85
95-th percentile109.36
Maximum113.8
Range34.7
Interquartile range (IQR)13.525

Descriptive statistics

Standard deviation9.0091194
Coefficient of variation (CV)0.094520138
Kurtosis-0.73311177
Mean95.314286
Median Absolute Deviation (MAD)8.2
Skewness0.30370428
Sum2668.8
Variance81.164233
MonotonicityNot monotonic
2024-03-16T13:15:07.234871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
96.4 2
 
7.1%
97.3 2
 
7.1%
86.2 1
 
3.6%
109.5 1
 
3.6%
113.8 1
 
3.6%
89.8 1
 
3.6%
97.8 1
 
3.6%
109.1 1
 
3.6%
107.4 1
 
3.6%
87.4 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
79.1 1
3.6%
84.4 1
3.6%
84.6 1
3.6%
85.6 1
3.6%
86.1 1
3.6%
86.2 1
3.6%
87.1 1
3.6%
87.4 1
3.6%
88.3 1
3.6%
89.8 1
3.6%
ValueCountFrequency (%)
113.8 1
3.6%
109.5 1
3.6%
109.1 1
3.6%
107.4 1
3.6%
106.5 1
3.6%
104.9 1
3.6%
103.1 1
3.6%
100.1 1
3.6%
97.8 1
3.6%
97.3 2
7.1%

2015-11
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.332143
Minimum79.6
Maximum113.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:07.433849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.6
5-th percentile84.87
Q187.925
median96.05
Q3100.675
95-th percentile109.22
Maximum113.4
Range33.8
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation8.6480164
Coefficient of variation (CV)0.090714592
Kurtosis-0.63754914
Mean95.332143
Median Absolute Deviation (MAD)7.5
Skewness0.33739248
Sum2669.3
Variance74.788188
MonotonicityNot monotonic
2024-03-16T13:15:07.640776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
87.4 2
 
7.1%
96.4 1
 
3.6%
97.3 1
 
3.6%
109.5 1
 
3.6%
113.4 1
 
3.6%
90.1 1
 
3.6%
97.0 1
 
3.6%
108.7 1
 
3.6%
106.9 1
 
3.6%
88.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
79.6 1
3.6%
84.8 1
3.6%
85.0 1
3.6%
85.9 1
3.6%
86.6 1
3.6%
87.4 2
7.1%
88.1 1
3.6%
89.0 1
3.6%
90.1 1
3.6%
91.7 1
3.6%
ValueCountFrequency (%)
113.4 1
3.6%
109.5 1
3.6%
108.7 1
3.6%
106.9 1
3.6%
105.6 1
3.6%
104.1 1
3.6%
103.0 1
3.6%
99.9 1
3.6%
97.3 1
3.6%
97.2 1
3.6%

2015-12
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.8
Minimum79.3
Maximum110.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:07.844268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.3
5-th percentile84.435
Q188.775
median95.5
Q399.925
95-th percentile108.39
Maximum110.5
Range31.2
Interquartile range (IQR)11.15

Descriptive statistics

Standard deviation8.1486195
Coefficient of variation (CV)0.085955902
Kurtosis-0.6556948
Mean94.8
Median Absolute Deviation (MAD)6.55
Skewness0.24772427
Sum2654.4
Variance66.4
MonotonicityNot monotonic
2024-03-16T13:15:08.017454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
96.7 2
 
7.1%
95.8 1
 
3.6%
91.4 1
 
3.6%
89.3 1
 
3.6%
108.6 1
 
3.6%
110.5 1
 
3.6%
90.5 1
 
3.6%
96.8 1
 
3.6%
108.0 1
 
3.6%
105.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
79.3 1
3.6%
84.4 1
3.6%
84.5 1
3.6%
85.6 1
3.6%
86.6 1
3.6%
86.9 1
3.6%
88.1 1
3.6%
89.0 1
3.6%
89.3 1
3.6%
90.5 1
3.6%
ValueCountFrequency (%)
110.5 1
3.6%
108.6 1
3.6%
108.0 1
3.6%
105.5 1
3.6%
104.9 1
3.6%
102.2 1
3.6%
102.1 1
3.6%
99.2 1
3.6%
96.8 1
3.6%
96.7 2
7.1%

2016-01
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.664286
Minimum78.8
Maximum109.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:08.183344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.8
5-th percentile84.27
Q188.85
median95.45
Q399.475
95-th percentile107.92
Maximum109.7
Range30.9
Interquartile range (IQR)10.625

Descriptive statistics

Standard deviation8.1041925
Coefficient of variation (CV)0.085609821
Kurtosis-0.67216721
Mean94.664286
Median Absolute Deviation (MAD)6.5
Skewness0.18446926
Sum2650.6
Variance65.677937
MonotonicityNot monotonic
2024-03-16T13:15:08.339492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.7 2
 
7.1%
88.9 2
 
7.1%
97.4 1
 
3.6%
91.1 1
 
3.6%
108.2 1
 
3.6%
109.7 1
 
3.6%
89.7 1
 
3.6%
96.7 1
 
3.6%
107.4 1
 
3.6%
105.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
78.8 1
3.6%
84.2 1
3.6%
84.4 1
3.6%
85.1 1
3.6%
86.6 1
3.6%
87.1 1
3.6%
88.7 1
3.6%
88.9 2
7.1%
89.7 1
3.6%
91.1 1
3.6%
ValueCountFrequency (%)
109.7 1
3.6%
108.2 1
3.6%
107.4 1
3.6%
105.8 1
3.6%
105.4 1
3.6%
101.9 1
3.6%
100.9 1
3.6%
99.0 1
3.6%
97.4 1
3.6%
97.0 1
3.6%

2016-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.967857
Minimum78.6
Maximum109.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:08.547229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.6
5-th percentile84.435
Q189.9
median95.45
Q399.35
95-th percentile108.28
Maximum109.8
Range31.2
Interquartile range (IQR)9.45

Descriptive statistics

Standard deviation7.9444858
Coefficient of variation (CV)0.08365447
Kurtosis-0.44708393
Mean94.967857
Median Absolute Deviation (MAD)5
Skewness0.13380831
Sum2659.1
Variance63.114854
MonotonicityNot monotonic
2024-03-16T13:15:08.724493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
96.9 2
 
7.1%
95.8 1
 
3.6%
91.5 1
 
3.6%
93.7 1
 
3.6%
108.7 1
 
3.6%
109.8 1
 
3.6%
90.8 1
 
3.6%
107.5 1
 
3.6%
105.9 1
 
3.6%
90.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
78.6 1
3.6%
84.4 1
3.6%
84.5 1
3.6%
85.6 1
3.6%
86.7 1
3.6%
87.2 1
3.6%
89.3 1
3.6%
90.1 1
3.6%
90.8 1
3.6%
90.9 1
3.6%
ValueCountFrequency (%)
109.8 1
3.6%
108.7 1
3.6%
107.5 1
3.6%
105.9 1
3.6%
104.9 1
3.6%
102.4 1
3.6%
99.8 1
3.6%
99.2 1
3.6%
97.1 1
3.6%
96.9 2
7.1%

2016-03
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.864286
Minimum78.1
Maximum108.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:08.878410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.1
5-th percentile84.815
Q189.775
median95.5
Q398.825
95-th percentile107.975
Maximum108.8
Range30.7
Interquartile range (IQR)9.05

Descriptive statistics

Standard deviation7.7144028
Coefficient of variation (CV)0.081320412
Kurtosis-0.32052042
Mean94.864286
Median Absolute Deviation (MAD)5.45
Skewness0.08497367
Sum2656.2
Variance59.512011
MonotonicityNot monotonic
2024-03-16T13:15:09.039092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
95.7 1
 
3.6%
96.5 1
 
3.6%
93.4 1
 
3.6%
108.5 1
 
3.6%
108.8 1
 
3.6%
90.3 1
 
3.6%
97.0 1
 
3.6%
107.0 1
 
3.6%
104.9 1
 
3.6%
89.7 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
78.1 1
3.6%
84.5 1
3.6%
85.4 1
3.6%
85.7 1
3.6%
87.3 1
3.6%
87.5 1
3.6%
89.7 1
3.6%
89.8 1
3.6%
90.3 1
3.6%
91.4 1
3.6%
ValueCountFrequency (%)
108.8 1
3.6%
108.5 1
3.6%
107.0 1
3.6%
105.3 1
3.6%
104.9 1
3.6%
102.0 1
3.6%
98.9 1
3.6%
98.8 1
3.6%
97.2 1
3.6%
97.0 1
3.6%

2016-04
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.964286
Minimum79.3
Maximum108.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:09.213192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.3
5-th percentile84.94
Q190.725
median95.45
Q397.75
95-th percentile107.51
Maximum108.6
Range29.3
Interquartile range (IQR)7.025

Descriptive statistics

Standard deviation7.3673561
Coefficient of variation (CV)0.077580283
Kurtosis-0.29947119
Mean94.964286
Median Absolute Deviation (MAD)4.55
Skewness0.081154111
Sum2659
Variance54.277937
MonotonicityNot monotonic
2024-03-16T13:15:09.373705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.4 2
 
7.1%
90.9 2
 
7.1%
95.7 1
 
3.6%
94.5 1
 
3.6%
96.1 1
 
3.6%
108.0 1
 
3.6%
108.6 1
 
3.6%
97.1 1
 
3.6%
106.6 1
 
3.6%
104.2 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
79.3 1
3.6%
84.8 1
3.6%
85.2 1
3.6%
86.0 1
3.6%
87.4 1
3.6%
87.5 1
3.6%
90.2 1
3.6%
90.9 2
7.1%
91.8 1
3.6%
92.2 1
3.6%
ValueCountFrequency (%)
108.6 1
3.6%
108.0 1
3.6%
106.6 1
3.6%
104.8 1
3.6%
104.2 1
3.6%
102.0 1
3.6%
98.8 1
3.6%
97.4 1
3.6%
97.1 1
3.6%
96.7 1
3.6%

2016-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.014286
Minimum80.5
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:09.535364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.5
5-th percentile85.57
Q190.525
median95.6
Q397.225
95-th percentile106.41
Maximum108
Range27.5
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation6.9514035
Coefficient of variation (CV)0.073161667
Kurtosis-0.34976691
Mean95.014286
Median Absolute Deviation (MAD)4.95
Skewness0.11540159
Sum2660.4
Variance48.322011
MonotonicityNot monotonic
2024-03-16T13:15:09.697595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.7 2
 
7.1%
96.7 2
 
7.1%
98.5 1
 
3.6%
96.1 1
 
3.6%
95.8 1
 
3.6%
106.9 1
 
3.6%
108.0 1
 
3.6%
90.7 1
 
3.6%
105.5 1
 
3.6%
104.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
80.5 1
3.6%
85.5 1
3.6%
85.7 1
3.6%
86.6 1
3.6%
87.7 1
3.6%
88.6 1
3.6%
90.3 1
3.6%
90.6 1
3.6%
90.7 1
3.6%
92.2 1
3.6%
ValueCountFrequency (%)
108.0 1
3.6%
106.9 1
3.6%
105.5 1
3.6%
105.2 1
3.6%
104.5 1
3.6%
101.4 1
3.6%
98.5 1
3.6%
96.8 1
3.6%
96.7 2
7.1%
96.1 1
3.6%

2016-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.346429
Minimum82.1
Maximum107.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:09.862808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.1
5-th percentile86.405
Q190.975
median95.8
Q397.675
95-th percentile106.275
Maximum107.1
Range25
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation6.4527044
Coefficient of variation (CV)0.067676414
Kurtosis-0.39265425
Mean95.346429
Median Absolute Deviation (MAD)4.4
Skewness0.11335537
Sum2669.7
Variance41.637394
MonotonicityNot monotonic
2024-03-16T13:15:10.077334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
96.0 2
 
7.1%
92.8 1
 
3.6%
97.4 1
 
3.6%
106.8 1
 
3.6%
107.1 1
 
3.6%
91.0 1
 
3.6%
97.2 1
 
3.6%
105.3 1
 
3.6%
103.7 1
 
3.6%
91.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
82.1 1
3.6%
86.3 1
3.6%
86.6 1
3.6%
87.7 1
3.6%
88.4 1
3.6%
89.1 1
3.6%
90.9 1
3.6%
91.0 1
3.6%
91.8 1
3.6%
92.8 1
3.6%
ValueCountFrequency (%)
107.1 1
3.6%
106.8 1
3.6%
105.3 1
3.6%
104.6 1
3.6%
103.7 1
3.6%
101.4 1
3.6%
98.5 1
3.6%
97.4 1
3.6%
97.2 1
3.6%
96.9 1
3.6%

2016-07
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.903571
Minimum83.4
Maximum107.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:10.228066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.4
5-th percentile87.25
Q191.625
median96.2
Q398.65
95-th percentile106.035
Maximum107.1
Range23.7
Interquartile range (IQR)7.025

Descriptive statistics

Standard deviation6.0011408
Coefficient of variation (CV)0.062574737
Kurtosis-0.31675197
Mean95.903571
Median Absolute Deviation (MAD)3.8
Skewness0.099815254
Sum2685.3
Variance36.01369
MonotonicityNot monotonic
2024-03-16T13:15:10.350786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
96.1 2
 
7.1%
89.5 2
 
7.1%
93.7 2
 
7.1%
96.6 1
 
3.6%
104.6 1
 
3.6%
98.6 1
 
3.6%
107.1 1
 
3.6%
106.7 1
 
3.6%
91.1 1
 
3.6%
97.2 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
83.4 1
3.6%
86.9 1
3.6%
87.9 1
3.6%
89.5 2
7.1%
90.6 1
3.6%
91.1 1
3.6%
91.8 1
3.6%
93.0 1
3.6%
93.7 2
7.1%
95.9 1
3.6%
ValueCountFrequency (%)
107.1 1
3.6%
106.7 1
3.6%
104.8 1
3.6%
104.6 1
3.6%
103.2 1
3.6%
101.5 1
3.6%
98.8 1
3.6%
98.6 1
3.6%
97.4 1
3.6%
97.2 1
3.6%

2016-08
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.578571
Minimum84.9
Maximum107.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:10.485719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.9
5-th percentile88.81
Q193.1
median96.85
Q399
95-th percentile105.91
Maximum107.4
Range22.5
Interquartile range (IQR)5.9

Descriptive statistics

Standard deviation5.5251182
Coefficient of variation (CV)0.057208531
Kurtosis-0.22281862
Mean96.578571
Median Absolute Deviation (MAD)3.15
Skewness0.12387874
Sum2704.2
Variance30.526931
MonotonicityNot monotonic
2024-03-16T13:15:10.627386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
97.2 1
 
3.6%
97.1 1
 
3.6%
98.9 1
 
3.6%
107.4 1
 
3.6%
106.4 1
 
3.6%
92.2 1
 
3.6%
97.6 1
 
3.6%
105.0 1
 
3.6%
103.1 1
 
3.6%
94.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
84.9 1
3.6%
88.6 1
3.6%
89.2 1
3.6%
90.6 1
3.6%
90.7 1
3.6%
91.7 1
3.6%
92.2 1
3.6%
93.4 1
3.6%
94.0 1
3.6%
94.2 1
3.6%
ValueCountFrequency (%)
107.4 1
3.6%
106.4 1
3.6%
105.0 1
3.6%
104.2 1
3.6%
103.1 1
3.6%
101.8 1
3.6%
99.3 1
3.6%
98.9 1
3.6%
98.1 1
3.6%
97.6 1
3.6%

2016-09
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.385714
Minimum86.3
Maximum107.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:10.823927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.3
5-th percentile89.945
Q194.075
median97.9
Q399.65
95-th percentile105.91
Maximum107.7
Range21.4
Interquartile range (IQR)5.575

Descriptive statistics

Standard deviation5.192139
Coefficient of variation (CV)0.053315201
Kurtosis-0.17635147
Mean97.385714
Median Absolute Deviation (MAD)3
Skewness0.086926295
Sum2726.8
Variance26.958307
MonotonicityNot monotonic
2024-03-16T13:15:11.011212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
97.9 2
 
7.1%
98.3 2
 
7.1%
98.1 1
 
3.6%
97.4 1
 
3.6%
99.5 1
 
3.6%
107.7 1
 
3.6%
106.4 1
 
3.6%
93.1 1
 
3.6%
104.9 1
 
3.6%
103.2 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
86.3 1
3.6%
89.7 1
3.6%
90.4 1
3.6%
91.7 1
3.6%
91.8 1
3.6%
92.9 1
3.6%
93.1 1
3.6%
94.4 1
3.6%
95.4 1
3.6%
95.5 1
3.6%
ValueCountFrequency (%)
107.7 1
3.6%
106.4 1
3.6%
105.0 1
3.6%
104.9 1
3.6%
103.2 1
3.6%
102.2 1
3.6%
100.1 1
3.6%
99.5 1
3.6%
98.4 1
3.6%
98.3 2
7.1%

2016-10
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.103571
Minimum87.8
Maximum107.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:11.196538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.8
5-th percentile90.755
Q195.125
median98.8
Q3101.025
95-th percentile105.43
Maximum107.6
Range19.8
Interquartile range (IQR)5.9

Descriptive statistics

Standard deviation4.8606113
Coefficient of variation (CV)0.049545712
Kurtosis-0.32667978
Mean98.103571
Median Absolute Deviation (MAD)3.4
Skewness-0.030943196
Sum2746.9
Variance23.625542
MonotonicityNot monotonic
2024-03-16T13:15:11.437223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
98.8 3
 
10.7%
99.0 3
 
10.7%
100.6 1
 
3.6%
105.3 1
 
3.6%
102.5 1
 
3.6%
107.6 1
 
3.6%
105.5 1
 
3.6%
93.2 1
 
3.6%
98.9 1
 
3.6%
105.0 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
87.8 1
3.6%
90.3 1
3.6%
91.6 1
3.6%
92.7 1
3.6%
93.0 1
3.6%
93.2 1
3.6%
94.0 1
3.6%
95.5 1
3.6%
96.2 1
3.6%
96.5 1
3.6%
ValueCountFrequency (%)
107.6 1
 
3.6%
105.5 1
 
3.6%
105.3 1
 
3.6%
105.0 1
 
3.6%
103.1 1
 
3.6%
102.5 1
 
3.6%
102.3 1
 
3.6%
100.6 1
 
3.6%
99.0 3
10.7%
98.9 1
 
3.6%

2016-11
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.207143
Minimum87.5
Maximum107.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:11.630595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.5
5-th percentile91.085
Q195.575
median98.9
Q3100.65
95-th percentile105.26
Maximum107.5
Range20
Interquartile range (IQR)5.075

Descriptive statistics

Standard deviation4.6674546
Coefficient of variation (CV)0.04752663
Kurtosis0.036681671
Mean98.207143
Median Absolute Deviation (MAD)2.75
Skewness-0.12648077
Sum2749.8
Variance21.785132
MonotonicityNot monotonic
2024-03-16T13:15:11.825148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
99.1 4
 
14.3%
98.9 2
 
7.1%
93.1 2
 
7.1%
105.0 2
 
7.1%
97.9 1
 
3.6%
100.6 1
 
3.6%
107.5 1
 
3.6%
105.4 1
 
3.6%
94.4 1
 
3.6%
102.5 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
87.5 1
3.6%
90.7 1
3.6%
91.8 1
3.6%
93.1 2
7.1%
94.4 1
3.6%
94.6 1
3.6%
95.9 1
3.6%
96.4 1
3.6%
96.6 1
3.6%
96.8 1
3.6%
ValueCountFrequency (%)
107.5 1
 
3.6%
105.4 1
 
3.6%
105.0 2
7.1%
102.5 1
 
3.6%
102.3 1
 
3.6%
100.8 1
 
3.6%
100.6 1
 
3.6%
99.2 1
 
3.6%
99.1 4
14.3%
98.9 2
7.1%

2016-12
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.85
Minimum86.7
Maximum106.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:12.019142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.7
5-th percentile90.55
Q194.975
median98.65
Q3100.525
95-th percentile104.96
Maximum106.8
Range20.1
Interquartile range (IQR)5.55

Descriptive statistics

Standard deviation4.755231
Coefficient of variation (CV)0.048597149
Kurtosis-0.036348284
Mean97.85
Median Absolute Deviation (MAD)2.8
Skewness-0.27232969
Sum2739.8
Variance22.612222
MonotonicityNot monotonic
2024-03-16T13:15:12.226498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
93.4 2
 
7.1%
98.8 2
 
7.1%
96.2 2
 
7.1%
98.6 1
 
3.6%
99.7 1
 
3.6%
100.6 1
 
3.6%
106.8 1
 
3.6%
104.7 1
 
3.6%
104.2 1
 
3.6%
102.1 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
86.7 1
3.6%
90.2 1
3.6%
91.2 1
3.6%
92.6 1
3.6%
92.8 1
3.6%
93.4 2
7.1%
95.5 1
3.6%
96.2 2
7.1%
96.7 1
3.6%
97.7 1
3.6%
ValueCountFrequency (%)
106.8 1
3.6%
105.1 1
3.6%
104.7 1
3.6%
104.2 1
3.6%
102.1 1
3.6%
101.8 1
3.6%
100.6 1
3.6%
100.5 1
3.6%
99.7 1
3.6%
99.2 1
3.6%

2017-01
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.607143
Minimum86.5
Maximum106.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:12.438440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.5
5-th percentile91.035
Q194.075
median98.35
Q3100.525
95-th percentile103.93
Maximum106.3
Range19.8
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation4.6786298
Coefficient of variation (CV)0.047933273
Kurtosis-0.20376922
Mean97.607143
Median Absolute Deviation (MAD)3.5
Skewness-0.33449577
Sum2733
Variance21.889577
MonotonicityNot monotonic
2024-03-16T13:15:12.633899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
98.3 2
 
7.1%
102.2 2
 
7.1%
92.4 2
 
7.1%
97.7 1
 
3.6%
106.3 1
 
3.6%
103.8 1
 
3.6%
99.1 1
 
3.6%
103.3 1
 
3.6%
96.7 1
 
3.6%
98.4 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
86.5 1
3.6%
91.0 1
3.6%
91.1 1
3.6%
92.2 1
3.6%
92.4 2
7.1%
93.7 1
3.6%
94.2 1
3.6%
95.6 1
3.6%
95.9 1
3.6%
96.7 1
3.6%
ValueCountFrequency (%)
106.3 1
3.6%
104.0 1
3.6%
103.8 1
3.6%
103.3 1
3.6%
102.2 2
7.1%
101.5 1
3.6%
100.2 1
3.6%
99.7 1
3.6%
99.1 1
3.6%
98.9 1
3.6%

2017-02
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.875
Minimum86.8
Maximum106.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:12.794758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.8
5-th percentile90.415
Q195.45
median98.5
Q3100.875
95-th percentile104.195
Maximum106.1
Range19.3
Interquartile range (IQR)5.425

Descriptive statistics

Standard deviation4.6310246
Coefficient of variation (CV)0.047315705
Kurtosis-0.065099968
Mean97.875
Median Absolute Deviation (MAD)2.95
Skewness-0.4742288
Sum2740.5
Variance21.446389
MonotonicityNot monotonic
2024-03-16T13:15:13.036407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
98.5 2
 
7.1%
99.2 2
 
7.1%
95.9 2
 
7.1%
98.0 1
 
3.6%
102.4 1
 
3.6%
106.1 1
 
3.6%
104.0 1
 
3.6%
94.4 1
 
3.6%
103.1 1
 
3.6%
102.0 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
86.8 1
3.6%
90.1 1
3.6%
91.0 1
3.6%
92.2 1
3.6%
92.3 1
3.6%
94.0 1
3.6%
94.4 1
3.6%
95.8 1
3.6%
95.9 2
7.1%
97.7 1
3.6%
ValueCountFrequency (%)
106.1 1
3.6%
104.3 1
3.6%
104.0 1
3.6%
103.1 1
3.6%
102.4 1
3.6%
102.0 1
3.6%
101.7 1
3.6%
100.6 1
3.6%
99.9 1
3.6%
99.4 1
3.6%

2017-03
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.021429
Minimum87.6
Maximum105.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:13.266196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.6
5-th percentile91.505
Q195.95
median98.65
Q3100.15
95-th percentile104.045
Maximum105.8
Range18.2
Interquartile range (IQR)4.2

Descriptive statistics

Standard deviation4.1902318
Coefficient of variation (CV)0.04274812
Kurtosis0.23916619
Mean98.021429
Median Absolute Deviation (MAD)2.5
Skewness-0.47753564
Sum2744.6
Variance17.558042
MonotonicityNot monotonic
2024-03-16T13:15:13.461161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100.0 2
 
7.1%
98.6 2
 
7.1%
99.5 2
 
7.1%
101.6 2
 
7.1%
105.8 1
 
3.6%
103.2 1
 
3.6%
95.5 1
 
3.6%
99.1 1
 
3.6%
102.9 1
 
3.6%
98.1 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
87.6 1
3.6%
91.4 1
3.6%
91.7 1
3.6%
92.6 1
3.6%
93.3 1
3.6%
94.6 1
3.6%
95.5 1
3.6%
96.1 1
3.6%
96.2 1
3.6%
96.3 1
3.6%
ValueCountFrequency (%)
105.8 1
3.6%
104.5 1
3.6%
103.2 1
3.6%
102.9 1
3.6%
101.6 2
7.1%
100.6 1
3.6%
100.0 2
7.1%
99.5 2
7.1%
99.4 1
3.6%
99.1 1
3.6%

2017-04
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.932143
Minimum88.3
Maximum105.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:13.704662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.3
5-th percentile91.74
Q195.85
median98.65
Q3100.475
95-th percentile103.055
Maximum105.2
Range16.9
Interquartile range (IQR)4.625

Descriptive statistics

Standard deviation3.885019
Coefficient of variation (CV)0.03967052
Kurtosis0.18117724
Mean97.932143
Median Absolute Deviation (MAD)2.25
Skewness-0.55683329
Sum2742.1
Variance15.093373
MonotonicityNot monotonic
2024-03-16T13:15:13.923935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
98.6 2
 
7.1%
96.4 1
 
3.6%
99.4 1
 
3.6%
105.2 1
 
3.6%
102.6 1
 
3.6%
96.5 1
 
3.6%
99.1 1
 
3.6%
102.1 1
 
3.6%
100.9 1
 
3.6%
97.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
88.3 1
3.6%
91.6 1
3.6%
92.0 1
3.6%
92.8 1
3.6%
93.4 1
3.6%
94.7 1
3.6%
95.4 1
3.6%
96.0 1
3.6%
96.4 1
3.6%
96.5 1
3.6%
ValueCountFrequency (%)
105.2 1
3.6%
103.3 1
3.6%
102.6 1
3.6%
102.1 1
3.6%
101.2 1
3.6%
100.9 1
3.6%
100.7 1
3.6%
100.4 1
3.6%
99.7 1
3.6%
99.6 1
3.6%

2017-05
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.253571
Minimum90.6
Maximum104.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:14.143936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.6
5-th percentile92.62
Q196.15
median98.95
Q3100.425
95-th percentile102.585
Maximum104.1
Range13.5
Interquartile range (IQR)4.275

Descriptive statistics

Standard deviation3.2486444
Coefficient of variation (CV)0.033063881
Kurtosis-0.014033092
Mean98.253571
Median Absolute Deviation (MAD)2
Skewness-0.55367917
Sum2751.1
Variance10.55369
MonotonicityNot monotonic
2024-03-16T13:15:14.338288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
99.0 2
 
7.1%
101.0 2
 
7.1%
98.8 2
 
7.1%
98.9 1
 
3.6%
104.1 1
 
3.6%
101.7 1
 
3.6%
97.1 1
 
3.6%
99.3 1
 
3.6%
102.0 1
 
3.6%
96.2 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
90.6 1
3.6%
92.2 1
3.6%
93.4 1
3.6%
94.0 1
3.6%
94.7 1
3.6%
95.7 1
3.6%
96.0 1
3.6%
96.2 1
3.6%
97.0 1
3.6%
97.1 1
3.6%
ValueCountFrequency (%)
104.1 1
3.6%
102.9 1
3.6%
102.0 1
3.6%
101.7 1
3.6%
101.0 2
7.1%
100.8 1
3.6%
100.3 1
3.6%
99.8 1
3.6%
99.6 1
3.6%
99.5 1
3.6%

2017-06
Real number (ℝ)

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.971429
Minimum93.1
Maximum103.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:14.578300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.1
5-th percentile95.235
Q197.1
median99.4
Q3100.825
95-th percentile102.515
Maximum103.5
Range10.4
Interquartile range (IQR)3.725

Descriptive statistics

Standard deviation2.5158545
Coefficient of variation (CV)0.025420008
Kurtosis-0.27141605
Mean98.971429
Median Absolute Deviation (MAD)1.7
Skewness-0.38855939
Sum2771.2
Variance6.3295238
MonotonicityNot monotonic
2024-03-16T13:15:14.838885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
99.4 2
 
7.1%
100.0 2
 
7.1%
99.1 2
 
7.1%
97.1 2
 
7.1%
101.2 2
 
7.1%
100.9 1
 
3.6%
102.9 1
 
3.6%
100.8 1
 
3.6%
103.5 1
 
3.6%
101.8 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
93.1 1
3.6%
95.2 1
3.6%
95.3 1
3.6%
95.6 1
3.6%
96.3 1
3.6%
96.5 1
3.6%
97.1 2
7.1%
97.8 1
3.6%
98.1 1
3.6%
98.2 1
3.6%
ValueCountFrequency (%)
103.5 1
3.6%
102.9 1
3.6%
101.8 1
3.6%
101.7 1
3.6%
101.2 2
7.1%
100.9 1
3.6%
100.8 1
3.6%
100.5 1
3.6%
100.0 2
7.1%
99.9 1
3.6%

2017-07
Real number (ℝ)

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.814286
Minimum96.2
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:15.463103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.2
5-th percentile97.505
Q198.55
median100.1
Q3100.7
95-th percentile102.38
Maximum103
Range6.8
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.6242866
Coefficient of variation (CV)0.016273087
Kurtosis-0.17248517
Mean99.814286
Median Absolute Deviation (MAD)1.05
Skewness-0.18831842
Sum2794.8
Variance2.6383069
MonotonicityNot monotonic
2024-03-16T13:15:15.826589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100.1 3
 
10.7%
100.4 3
 
10.7%
100.7 2
 
7.1%
97.7 2
 
7.1%
101.4 2
 
7.1%
98.8 1
 
3.6%
103.0 1
 
3.6%
98.0 1
 
3.6%
99.7 1
 
3.6%
100.6 1
 
3.6%
Other values (11) 11
39.3%
ValueCountFrequency (%)
96.2 1
3.6%
97.4 1
3.6%
97.7 2
7.1%
98.0 1
3.6%
98.1 1
3.6%
98.4 1
3.6%
98.6 1
3.6%
98.8 1
3.6%
99.3 1
3.6%
99.7 1
3.6%
ValueCountFrequency (%)
103.0 1
 
3.6%
102.8 1
 
3.6%
101.6 1
 
3.6%
101.4 2
7.1%
100.9 1
 
3.6%
100.7 2
7.1%
100.6 1
 
3.6%
100.5 1
 
3.6%
100.4 3
10.7%
100.1 3
10.7%

2017-08
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.782143
Minimum96
Maximum102.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:16.070250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile97.05
Q199.075
median100.2
Q3100.625
95-th percentile101.955
Maximum102.3
Range6.3
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.5126757
Coefficient of variation (CV)0.015159784
Kurtosis0.42386698
Mean99.782143
Median Absolute Deviation (MAD)0.85
Skewness-0.73373575
Sum2793.9
Variance2.2881878
MonotonicityNot monotonic
2024-03-16T13:15:16.302413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
100.6 3
 
10.7%
100.2 2
 
7.1%
100.7 2
 
7.1%
100.5 2
 
7.1%
99.3 2
 
7.1%
102.2 1
 
3.6%
97.7 1
 
3.6%
102.3 1
 
3.6%
98.1 1
 
3.6%
99.8 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
96.0 1
3.6%
96.7 1
3.6%
97.7 1
3.6%
98.0 1
3.6%
98.1 1
3.6%
98.4 1
3.6%
98.7 1
3.6%
99.2 1
3.6%
99.3 2
7.1%
99.7 1
3.6%
ValueCountFrequency (%)
102.3 1
 
3.6%
102.2 1
 
3.6%
101.5 1
 
3.6%
101.1 1
 
3.6%
101.0 1
 
3.6%
100.7 2
7.1%
100.6 3
10.7%
100.5 2
7.1%
100.3 1
 
3.6%
100.2 2
7.1%

2017-09
Real number (ℝ)

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.02857
Minimum96.8
Maximum101.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:16.492498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.8
5-th percentile98.405
Q199.175
median100.3
Q3100.625
95-th percentile101.53
Maximum101.9
Range5.1
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.1303415
Coefficient of variation (CV)0.011300187
Kurtosis1.0524978
Mean100.02857
Median Absolute Deviation (MAD)0.5
Skewness-0.86608738
Sum2800.8
Variance1.277672
MonotonicityNot monotonic
2024-03-16T13:15:16.675166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
100.3 3
 
10.7%
100.5 3
 
10.7%
100.6 2
 
7.1%
100.7 2
 
7.1%
98.7 2
 
7.1%
99.1 2
 
7.1%
99.8 2
 
7.1%
100.4 1
 
3.6%
101.4 1
 
3.6%
101.6 1
 
3.6%
Other values (9) 9
32.1%
ValueCountFrequency (%)
96.8 1
 
3.6%
98.3 1
 
3.6%
98.6 1
 
3.6%
98.7 2
7.1%
99.1 2
7.1%
99.2 1
 
3.6%
99.8 2
7.1%
99.9 1
 
3.6%
100.2 1
 
3.6%
100.3 3
10.7%
ValueCountFrequency (%)
101.9 1
 
3.6%
101.6 1
 
3.6%
101.4 1
 
3.6%
101.2 1
 
3.6%
101.1 1
 
3.6%
100.7 2
7.1%
100.6 2
7.1%
100.5 3
10.7%
100.4 1
 
3.6%
100.3 3
10.7%

2017-10
Real number (ℝ)

Distinct16
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.13571
Minimum98.6
Maximum100.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:16.882838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.6
5-th percentile99.075
Q199.775
median100.3
Q3100.425
95-th percentile100.865
Maximum100.9
Range2.3
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.57038927
Coefficient of variation (CV)0.0056961622
Kurtosis0.88120764
Mean100.13571
Median Absolute Deviation (MAD)0.3
Skewness-1.0399514
Sum2803.8
Variance0.32534392
MonotonicityNot monotonic
2024-03-16T13:15:17.051208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
100.4 6
21.4%
100.3 3
10.7%
100.2 2
 
7.1%
100.9 2
 
7.1%
100.7 2
 
7.1%
100.5 2
 
7.1%
99.6 2
 
7.1%
100.1 1
 
3.6%
98.6 1
 
3.6%
99.5 1
 
3.6%
Other values (6) 6
21.4%
ValueCountFrequency (%)
98.6 1
3.6%
98.9 1
3.6%
99.4 1
3.6%
99.5 1
3.6%
99.6 2
7.1%
99.7 1
3.6%
99.8 1
3.6%
99.9 1
3.6%
100.1 1
3.6%
100.2 2
7.1%
ValueCountFrequency (%)
100.9 2
 
7.1%
100.8 1
 
3.6%
100.7 2
 
7.1%
100.5 2
 
7.1%
100.4 6
21.4%
100.3 3
10.7%
100.2 2
 
7.1%
100.1 1
 
3.6%
99.9 1
 
3.6%
99.8 1
 
3.6%

2017-11
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
100
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 28
100.0%

Length

2024-03-16T13:15:17.222537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:15:17.343038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 28
100.0%

2017-12
Real number (ℝ)

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.732143
Minimum98.5
Maximum102.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:17.483533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.5
5-th percentile98.87
Q199.275
median99.5
Q3100.025
95-th percentile100.86
Maximum102.5
Range4
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.79863475
Coefficient of variation (CV)0.0080077969
Kurtosis4.2181014
Mean99.732143
Median Absolute Deviation (MAD)0.4
Skewness1.6248943
Sum2792.5
Variance0.63781746
MonotonicityNot monotonic
2024-03-16T13:15:17.720295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
99.3 4
14.3%
99.4 3
10.7%
99.9 3
10.7%
99.6 2
 
7.1%
100.5 2
 
7.1%
99.2 2
 
7.1%
99.1 2
 
7.1%
100.0 1
 
3.6%
99.0 1
 
3.6%
98.5 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
98.5 1
 
3.6%
98.8 1
 
3.6%
99.0 1
 
3.6%
99.1 2
7.1%
99.2 2
7.1%
99.3 4
14.3%
99.4 3
10.7%
99.6 2
7.1%
99.8 1
 
3.6%
99.9 3
10.7%
ValueCountFrequency (%)
102.5 1
 
3.6%
101.0 1
 
3.6%
100.6 1
 
3.6%
100.5 2
7.1%
100.3 1
 
3.6%
100.1 1
 
3.6%
100.0 1
 
3.6%
99.9 3
10.7%
99.8 1
 
3.6%
99.6 2
7.1%

2018-01
Real number (ℝ)

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.05
Minimum97.7
Maximum106.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:17.874126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.7
5-th percentile97.735
Q198.925
median99.5
Q3100.475
95-th percentile103.13
Maximum106.8
Range9.1
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.9999074
Coefficient of variation (CV)0.01998908
Kurtosis3.6322285
Mean100.05
Median Absolute Deviation (MAD)0.9
Skewness1.6241657
Sum2801.4
Variance3.9996296
MonotonicityNot monotonic
2024-03-16T13:15:18.091340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
99.4 2
 
7.1%
99.3 2
 
7.1%
97.7 2
 
7.1%
102.1 2
 
7.1%
99.5 2
 
7.1%
100.4 2
 
7.1%
99.8 1
 
3.6%
99.7 1
 
3.6%
97.8 1
 
3.6%
98.4 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
97.7 2
7.1%
97.8 1
3.6%
97.9 1
3.6%
98.4 1
3.6%
98.6 1
3.6%
98.7 1
3.6%
99.0 1
3.6%
99.2 1
3.6%
99.3 2
7.1%
99.4 2
7.1%
ValueCountFrequency (%)
106.8 1
3.6%
103.2 1
3.6%
103.0 1
3.6%
102.1 2
7.1%
101.7 1
3.6%
100.7 1
3.6%
100.4 2
7.1%
100.2 1
3.6%
99.9 1
3.6%
99.8 1
3.6%

2018-02
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.71786
Minimum97.4
Maximum110.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:18.309557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.4
5-th percentile97.7
Q199
median99.75
Q3101.275
95-th percentile105.97
Maximum110.4
Range13
Interquartile range (IQR)2.275

Descriptive statistics

Standard deviation2.95861
Coefficient of variation (CV)0.029375228
Kurtosis3.2464548
Mean100.71786
Median Absolute Deviation (MAD)1.05
Skewness1.7154749
Sum2820.1
Variance8.753373
MonotonicityNot monotonic
2024-03-16T13:15:18.555956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100.1 2
 
7.1%
99.0 2
 
7.1%
99.4 2
 
7.1%
97.7 2
 
7.1%
99.7 1
 
3.6%
97.4 1
 
3.6%
100.3 1
 
3.6%
99.1 1
 
3.6%
98.6 1
 
3.6%
99.6 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
97.4 1
3.6%
97.7 2
7.1%
98.1 1
3.6%
98.6 1
3.6%
98.7 1
3.6%
99.0 2
7.1%
99.1 1
3.6%
99.3 1
3.6%
99.4 2
7.1%
99.6 1
3.6%
ValueCountFrequency (%)
110.4 1
3.6%
106.6 1
3.6%
104.8 1
3.6%
104.3 1
3.6%
103.5 1
3.6%
103.4 1
3.6%
101.5 1
3.6%
101.2 1
3.6%
100.8 1
3.6%
100.6 1
3.6%

2018-03
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.88571
Minimum96
Maximum111.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:18.724319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile96.62
Q198.3
median99.9
Q3101.725
95-th percentile108.44
Maximum111.3
Range15.3
Interquartile range (IQR)3.425

Descriptive statistics

Standard deviation3.7885514
Coefficient of variation (CV)0.037552903
Kurtosis1.3806008
Mean100.88571
Median Absolute Deviation (MAD)1.8
Skewness1.3024685
Sum2824.8
Variance14.353122
MonotonicityNot monotonic
2024-03-16T13:15:18.899328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
98.0 3
 
10.7%
101.6 2
 
7.1%
100.1 2
 
7.1%
99.7 1
 
3.6%
99.6 1
 
3.6%
96.2 1
 
3.6%
97.4 1
 
3.6%
100.6 1
 
3.6%
98.4 1
 
3.6%
97.8 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
96.0 1
 
3.6%
96.2 1
 
3.6%
97.4 1
 
3.6%
97.8 1
 
3.6%
98.0 3
10.7%
98.4 1
 
3.6%
98.6 1
 
3.6%
98.9 1
 
3.6%
99.2 1
 
3.6%
99.3 1
 
3.6%
ValueCountFrequency (%)
111.3 1
3.6%
109.7 1
3.6%
106.1 1
3.6%
105.6 1
3.6%
104.9 1
3.6%
104.8 1
3.6%
102.1 1
3.6%
101.6 2
7.1%
101.0 1
3.6%
100.6 1
3.6%

2018-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.00714
Minimum95.7
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:19.106688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.7
5-th percentile96.245
Q197.875
median99.7
Q3102.25
95-th percentile109.46
Maximum112
Range16.3
Interquartile range (IQR)4.375

Descriptive statistics

Standard deviation4.4005832
Coefficient of variation (CV)0.043567049
Kurtosis0.37215223
Mean101.00714
Median Absolute Deviation (MAD)2.3
Skewness1.094892
Sum2828.2
Variance19.365132
MonotonicityNot monotonic
2024-03-16T13:15:19.284354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.2 1
 
3.6%
102.2 1
 
3.6%
97.5 1
 
3.6%
95.7 1
 
3.6%
96.0 1
 
3.6%
100.8 1
 
3.6%
98.7 1
 
3.6%
97.3 1
 
3.6%
96.8 1
 
3.6%
98.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
95.7 1
3.6%
96.0 1
3.6%
96.7 1
3.6%
96.8 1
3.6%
97.3 1
3.6%
97.4 1
3.6%
97.5 1
3.6%
98.0 1
3.6%
98.2 1
3.6%
98.4 1
3.6%
ValueCountFrequency (%)
112.0 1
3.6%
110.3 1
3.6%
107.9 1
3.6%
107.4 1
3.6%
106.3 1
3.6%
106.1 1
3.6%
102.4 1
3.6%
102.2 1
3.6%
102.0 1
3.6%
101.7 1
3.6%

2018-05
Real number (ℝ)

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.63214
Minimum94
Maximum111.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:19.433424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile94.48
Q197.15
median99.35
Q3102.4
95-th percentile110.57
Maximum111.6
Range17.6
Interquartile range (IQR)5.25

Descriptive statistics

Standard deviation5.044326
Coefficient of variation (CV)0.05012639
Kurtosis-0.13964313
Mean100.63214
Median Absolute Deviation (MAD)2.95
Skewness0.88426394
Sum2817.7
Variance25.445225
MonotonicityNot monotonic
2024-03-16T13:15:19.582133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
97.7 3
 
10.7%
98.9 3
 
10.7%
96.4 2
 
7.1%
96.1 2
 
7.1%
102.4 2
 
7.1%
99.9 1
 
3.6%
100.1 1
 
3.6%
94.0 1
 
3.6%
95.0 1
 
3.6%
101.1 1
 
3.6%
Other values (11) 11
39.3%
ValueCountFrequency (%)
94.0 1
 
3.6%
94.2 1
 
3.6%
95.0 1
 
3.6%
96.1 2
7.1%
96.4 2
7.1%
97.4 1
 
3.6%
97.7 3
10.7%
98.9 3
10.7%
99.8 1
 
3.6%
99.9 1
 
3.6%
ValueCountFrequency (%)
111.6 1
3.6%
111.2 1
3.6%
109.4 1
3.6%
107.9 1
3.6%
107.2 1
3.6%
106.4 1
3.6%
102.4 2
7.1%
101.9 1
3.6%
101.1 1
3.6%
101.0 1
3.6%

2018-06
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.65714
Minimum92.9
Maximum113.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:19.799797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.9
5-th percentile93.825
Q197
median99.25
Q3102.65
95-th percentile111
Maximum113.9
Range21
Interquartile range (IQR)5.65

Descriptive statistics

Standard deviation5.5689901
Coefficient of variation (CV)0.055326328
Kurtosis0.048042033
Mean100.65714
Median Absolute Deviation (MAD)3
Skewness0.90333142
Sum2818.4
Variance31.013651
MonotonicityNot monotonic
2024-03-16T13:15:20.007656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
101.1 2
 
7.1%
99.6 2
 
7.1%
99.7 1
 
3.6%
98.6 1
 
3.6%
98.9 1
 
3.6%
93.3 1
 
3.6%
94.8 1
 
3.6%
97.5 1
 
3.6%
95.9 1
 
3.6%
95.3 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
92.9 1
3.6%
93.3 1
3.6%
94.8 1
3.6%
95.3 1
3.6%
95.9 1
3.6%
96.1 1
3.6%
96.4 1
3.6%
97.2 1
3.6%
97.3 1
3.6%
97.5 1
3.6%
ValueCountFrequency (%)
113.9 1
3.6%
111.7 1
3.6%
109.7 1
3.6%
108.6 1
3.6%
108.0 1
3.6%
106.8 1
3.6%
103.1 1
3.6%
102.5 1
3.6%
101.9 1
3.6%
101.1 2
7.1%

2018-07
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.58929
Minimum90.7
Maximum116.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:20.249887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.7
5-th percentile93.155
Q196.375
median99
Q3103.275
95-th percentile112.505
Maximum116.5
Range25.8
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation6.6287443
Coefficient of variation (CV)0.065899109
Kurtosis0.029300921
Mean100.58929
Median Absolute Deviation (MAD)3.35
Skewness0.9099219
Sum2816.5
Variance43.940251
MonotonicityNot monotonic
2024-03-16T13:15:20.489751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
98.1 2
 
7.1%
94.0 2
 
7.1%
96.5 2
 
7.1%
99.7 2
 
7.1%
99.6 1
 
3.6%
98.4 1
 
3.6%
92.7 1
 
3.6%
100.1 1
 
3.6%
97.2 1
 
3.6%
94.9 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
90.7 1
3.6%
92.7 1
3.6%
94.0 2
7.1%
94.9 1
3.6%
95.3 1
3.6%
96.0 1
3.6%
96.5 2
7.1%
96.7 1
3.6%
97.2 1
3.6%
98.1 2
7.1%
ValueCountFrequency (%)
116.5 1
3.6%
113.1 1
3.6%
111.4 1
3.6%
110.3 1
3.6%
109.5 1
3.6%
108.3 1
3.6%
103.8 1
3.6%
103.1 1
3.6%
101.9 1
3.6%
100.4 1
3.6%

2018-08
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.95357
Minimum90.5
Maximum120.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:20.735244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.5
5-th percentile92.225
Q195.975
median99.5
Q3105.575
95-th percentile117.965
Maximum120.4
Range29.9
Interquartile range (IQR)9.6

Descriptive statistics

Standard deviation8.5392116
Coefficient of variation (CV)0.083755885
Kurtosis-0.24450837
Mean101.95357
Median Absolute Deviation (MAD)4.05
Skewness0.92735724
Sum2854.7
Variance72.918135
MonotonicityNot monotonic
2024-03-16T13:15:20.954051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.8 1
 
3.6%
105.8 1
 
3.6%
98.4 1
 
3.6%
91.7 1
 
3.6%
93.2 1
 
3.6%
101.2 1
 
3.6%
96.9 1
 
3.6%
94.9 1
 
3.6%
93.8 1
 
3.6%
95.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
90.5 1
3.6%
91.7 1
3.6%
93.2 1
3.6%
93.8 1
3.6%
94.9 1
3.6%
95.0 1
3.6%
95.9 1
3.6%
96.0 1
3.6%
96.8 1
3.6%
96.9 1
3.6%
ValueCountFrequency (%)
120.4 1
3.6%
118.7 1
3.6%
116.6 1
3.6%
115.0 1
3.6%
114.9 1
3.6%
112.6 1
3.6%
105.8 1
3.6%
105.5 1
3.6%
102.6 1
3.6%
101.2 1
3.6%

2018-09
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.54286
Minimum89.8
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:21.195801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.8
5-th percentile91.795
Q195.9
median99.7
Q3108.15
95-th percentile122.76
Maximum124
Range34.2
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation10.77172
Coefficient of variation (CV)0.10403151
Kurtosis-0.50167106
Mean103.54286
Median Absolute Deviation (MAD)4.5
Skewness0.91852907
Sum2899.2
Variance116.02995
MonotonicityNot monotonic
2024-03-16T13:15:21.422159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
102.2 2
 
7.1%
99.1 2
 
7.1%
95.9 2
 
7.1%
108.1 1
 
3.6%
98.7 1
 
3.6%
91.2 1
 
3.6%
92.9 1
 
3.6%
101.9 1
 
3.6%
97.4 1
 
3.6%
94.2 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
89.8 1
3.6%
91.2 1
3.6%
92.9 1
3.6%
93.4 1
3.6%
94.2 1
3.6%
94.8 1
3.6%
95.9 2
7.1%
97.0 1
3.6%
97.4 1
3.6%
98.7 1
3.6%
ValueCountFrequency (%)
124.0 1
3.6%
122.9 1
3.6%
122.5 1
3.6%
121.5 1
3.6%
121.1 1
3.6%
120.4 1
3.6%
108.3 1
3.6%
108.1 1
3.6%
103.8 1
3.6%
102.2 2
7.1%

2018-10
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.55357
Minimum89.4
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:21.613301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.4
5-th percentile91.22
Q195.975
median99.55
Q3108.975
95-th percentile122.8
Maximum124
Range34.6
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.206429
Coefficient of variation (CV)0.10821867
Kurtosis-0.59944005
Mean103.55357
Median Absolute Deviation (MAD)4.85
Skewness0.87738664
Sum2899.5
Variance125.58406
MonotonicityNot monotonic
2024-03-16T13:15:21.763440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
99.5 3
 
10.7%
122.8 2
 
7.1%
102.4 1
 
3.6%
89.4 1
 
3.6%
96.4 1
 
3.6%
90.8 1
 
3.6%
92.0 1
 
3.6%
101.6 1
 
3.6%
96.7 1
 
3.6%
93.9 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
89.4 1
3.6%
90.8 1
3.6%
92.0 1
3.6%
92.6 1
3.6%
93.9 1
3.6%
94.3 1
3.6%
95.9 1
3.6%
96.0 1
3.6%
96.4 1
3.6%
96.7 1
3.6%
ValueCountFrequency (%)
124.0 1
3.6%
122.8 2
7.1%
122.7 1
3.6%
122.4 1
3.6%
121.4 1
3.6%
109.5 1
3.6%
108.8 1
3.6%
104.0 1
3.6%
102.6 1
3.6%
102.4 1
3.6%

2018-11
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.76429
Minimum88.3
Maximum122.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:21.948096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.3
5-th percentile90.555
Q194.575
median99.7
Q3108.475
95-th percentile120.86
Maximum122.3
Range34
Interquartile range (IQR)13.9

Descriptive statistics

Standard deviation10.842004
Coefficient of variation (CV)0.10550362
Kurtosis-0.72311284
Mean102.76429
Median Absolute Deviation (MAD)6.1
Skewness0.77119552
Sum2877.4
Variance117.54905
MonotonicityNot monotonic
2024-03-16T13:15:22.174300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
93.6 2
 
7.1%
120.6 2
 
7.1%
101.6 1
 
3.6%
101.8 1
 
3.6%
96.5 1
 
3.6%
90.1 1
 
3.6%
91.6 1
 
3.6%
102.0 1
 
3.6%
96.1 1
 
3.6%
93.5 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
88.3 1
3.6%
90.1 1
3.6%
91.4 1
3.6%
91.6 1
3.6%
93.5 1
3.6%
93.6 2
7.1%
94.9 1
3.6%
96.1 1
3.6%
96.3 1
3.6%
96.5 1
3.6%
ValueCountFrequency (%)
122.3 1
3.6%
121.0 1
3.6%
120.6 2
7.1%
120.5 1
3.6%
120.3 1
3.6%
110.2 1
3.6%
107.9 1
3.6%
103.6 1
3.6%
102.1 1
3.6%
102.0 1
3.6%

2018-12
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.99286
Minimum87.6
Maximum121.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:22.336987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.6
5-th percentile89.21
Q193.625
median99.8
Q3107.725
95-th percentile120.195
Maximum121.6
Range34
Interquartile range (IQR)14.1

Descriptive statistics

Standard deviation10.679261
Coefficient of variation (CV)0.10470597
Kurtosis-0.76836407
Mean101.99286
Median Absolute Deviation (MAD)7.1
Skewness0.6772465
Sum2855.8
Variance114.04661
MonotonicityNot monotonic
2024-03-16T13:15:22.558101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
98.5 2
 
7.1%
101.8 2
 
7.1%
100.8 1
 
3.6%
109.9 1
 
3.6%
96.3 1
 
3.6%
89.0 1
 
3.6%
90.4 1
 
3.6%
101.2 1
 
3.6%
95.4 1
 
3.6%
92.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
87.6 1
3.6%
89.0 1
3.6%
89.6 1
3.6%
90.4 1
3.6%
92.4 1
3.6%
92.6 1
3.6%
92.8 1
3.6%
93.9 1
3.6%
95.4 1
3.6%
95.6 1
3.6%
ValueCountFrequency (%)
121.6 1
3.6%
120.3 1
3.6%
120.0 1
3.6%
119.1 1
3.6%
118.7 1
3.6%
117.0 1
3.6%
109.9 1
3.6%
107.0 1
3.6%
103.7 1
3.6%
101.8 2
7.1%

2019-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.48571
Minimum86.8
Maximum122.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:22.780324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.8
5-th percentile88.48
Q193.45
median99.6
Q3107.425
95-th percentile118.875
Maximum122.2
Range35.4
Interquartile range (IQR)13.975

Descriptive statistics

Standard deviation10.479741
Coefficient of variation (CV)0.10326321
Kurtosis-0.75409916
Mean101.48571
Median Absolute Deviation (MAD)6.8
Skewness0.62031755
Sum2841.6
Variance109.82497
MonotonicityNot monotonic
2024-03-16T13:15:23.020740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
100.3 1
 
3.6%
110.8 1
 
3.6%
95.2 1
 
3.6%
88.2 1
 
3.6%
90.1 1
 
3.6%
102.1 1
 
3.6%
95.4 1
 
3.6%
92.7 1
 
3.6%
89.0 1
 
3.6%
91.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
86.8 1
3.6%
88.2 1
3.6%
89.0 1
3.6%
90.1 1
3.6%
91.5 1
3.6%
92.3 1
3.6%
92.7 1
3.6%
93.7 1
3.6%
95.2 1
3.6%
95.3 1
3.6%
ValueCountFrequency (%)
122.2 1
3.6%
119.4 1
3.6%
117.9 1
3.6%
117.8 1
3.6%
117.1 1
3.6%
114.9 1
3.6%
110.8 1
3.6%
106.3 1
3.6%
103.1 1
3.6%
102.1 1
3.6%

2019-02
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.02143
Minimum86.4
Maximum120.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:23.275404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.4
5-th percentile87.99
Q193.4
median98.9
Q3106.8
95-th percentile118.305
Maximum120.2
Range33.8
Interquartile range (IQR)13.4

Descriptive statistics

Standard deviation10.27728
Coefficient of variation (CV)0.10173366
Kurtosis-0.80874254
Mean101.02143
Median Absolute Deviation (MAD)6.55
Skewness0.58045157
Sum2828.6
Variance105.62249
MonotonicityNot monotonic
2024-03-16T13:15:23.532134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95.0 2
 
7.1%
116.8 2
 
7.1%
99.9 1
 
3.6%
101.8 1
 
3.6%
95.8 1
 
3.6%
87.5 1
 
3.6%
89.5 1
 
3.6%
102.3 1
 
3.6%
92.5 1
 
3.6%
88.9 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
86.4 1
3.6%
87.5 1
3.6%
88.9 1
3.6%
89.5 1
3.6%
91.0 1
3.6%
91.9 1
3.6%
92.5 1
3.6%
93.7 1
3.6%
95.0 2
7.1%
95.8 1
3.6%
ValueCountFrequency (%)
120.2 1
3.6%
118.9 1
3.6%
117.2 1
3.6%
116.8 2
7.1%
114.3 1
3.6%
110.4 1
3.6%
105.6 1
3.6%
102.9 1
3.6%
102.3 1
3.6%
101.8 1
3.6%

2019-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.41071
Minimum85.4
Maximum120.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:23.779821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.4
5-th percentile87.215
Q192.4
median98.6
Q3106.2
95-th percentile117.275
Maximum120.3
Range34.9
Interquartile range (IQR)13.8

Descriptive statistics

Standard deviation10.364338
Coefficient of variation (CV)0.10321945
Kurtosis-0.84366107
Mean100.41071
Median Absolute Deviation (MAD)6.4
Skewness0.51765619
Sum2811.5
Variance107.41951
MonotonicityNot monotonic
2024-03-16T13:15:24.029577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
116.1 2
 
7.1%
99.2 1
 
3.6%
102.4 1
 
3.6%
94.2 1
 
3.6%
86.9 1
 
3.6%
88.0 1
 
3.6%
102.7 1
 
3.6%
93.9 1
 
3.6%
92.1 1
 
3.6%
87.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
85.4 1
3.6%
86.9 1
3.6%
87.8 1
3.6%
88.0 1
3.6%
90.6 1
3.6%
91.2 1
3.6%
92.1 1
3.6%
92.5 1
3.6%
93.9 1
3.6%
94.2 1
3.6%
ValueCountFrequency (%)
120.3 1
3.6%
117.8 1
3.6%
116.3 1
3.6%
116.1 2
7.1%
112.8 1
3.6%
110.1 1
3.6%
104.9 1
3.6%
103.0 1
3.6%
102.7 1
3.6%
102.4 1
3.6%

2019-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.16429
Minimum85.4
Maximum118.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:24.424363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.4
5-th percentile86.455
Q192.275
median98.25
Q3106.1
95-th percentile117.495
Maximum118.6
Range33.2
Interquartile range (IQR)13.825

Descriptive statistics

Standard deviation10.528769
Coefficient of variation (CV)0.105115
Kurtosis-0.93282891
Mean100.16429
Median Absolute Deviation (MAD)6.75
Skewness0.49277016
Sum2804.6
Variance110.85497
MonotonicityNot monotonic
2024-03-16T13:15:24.624175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
99.0 1
 
3.6%
110.0 1
 
3.6%
94.7 1
 
3.6%
86.0 1
 
3.6%
88.0 1
 
3.6%
101.9 1
 
3.6%
93.6 1
 
3.6%
91.3 1
 
3.6%
87.3 1
 
3.6%
89.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
85.4 1
3.6%
86.0 1
3.6%
87.3 1
3.6%
88.0 1
3.6%
89.1 1
3.6%
90.5 1
3.6%
91.3 1
3.6%
92.6 1
3.6%
93.6 1
3.6%
94.0 1
3.6%
ValueCountFrequency (%)
118.6 1
3.6%
117.6 1
3.6%
117.3 1
3.6%
116.1 1
3.6%
116.0 1
3.6%
114.3 1
3.6%
110.0 1
3.6%
104.8 1
3.6%
102.7 1
3.6%
102.6 1
3.6%

2019-05
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.09286
Minimum85
Maximum121.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:24.873271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile85.815
Q191.625
median97.7
Q3106.025
95-th percentile118.325
Maximum121.4
Range36.4
Interquartile range (IQR)14.4

Descriptive statistics

Standard deviation11.305814
Coefficient of variation (CV)0.11295325
Kurtosis-0.88250451
Mean100.09286
Median Absolute Deviation (MAD)6.95
Skewness0.56804201
Sum2802.6
Variance127.82143
MonotonicityNot monotonic
2024-03-16T13:15:25.140990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
97.1 2
 
7.1%
91.8 2
 
7.1%
98.8 1
 
3.6%
102.9 1
 
3.6%
85.5 1
 
3.6%
87.4 1
 
3.6%
102.4 1
 
3.6%
92.7 1
 
3.6%
91.1 1
 
3.6%
86.4 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
85.0 1
3.6%
85.5 1
3.6%
86.4 1
3.6%
87.4 1
3.6%
88.9 1
3.6%
90.0 1
3.6%
91.1 1
3.6%
91.8 2
7.1%
92.7 1
3.6%
93.5 1
3.6%
ValueCountFrequency (%)
121.4 1
3.6%
118.5 1
3.6%
118.0 1
3.6%
117.3 1
3.6%
116.9 1
3.6%
116.5 1
3.6%
109.1 1
3.6%
105.0 1
3.6%
102.9 1
3.6%
102.7 1
3.6%

2019-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.60357
Minimum84.6
Maximum123.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:25.386847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.6
5-th percentile85.215
Q191.075
median97.7
Q3106.85
95-th percentile119.965
Maximum123.3
Range38.7
Interquartile range (IQR)15.775

Descriptive statistics

Standard deviation12.201624
Coefficient of variation (CV)0.1212842
Kurtosis-0.84377267
Mean100.60357
Median Absolute Deviation (MAD)7.45
Skewness0.61099058
Sum2816.9
Variance148.87962
MonotonicityNot monotonic
2024-03-16T13:15:26.201344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
97.0 2
 
7.1%
99.2 1
 
3.6%
103.6 1
 
3.6%
93.8 1
 
3.6%
84.9 1
 
3.6%
87.2 1
 
3.6%
102.2 1
 
3.6%
92.6 1
 
3.6%
90.7 1
 
3.6%
85.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
84.6 1
3.6%
84.9 1
3.6%
85.8 1
3.6%
87.2 1
3.6%
88.8 1
3.6%
89.8 1
3.6%
90.7 1
3.6%
91.2 1
3.6%
92.6 1
3.6%
93.3 1
3.6%
ValueCountFrequency (%)
123.3 1
3.6%
120.0 1
3.6%
119.9 1
3.6%
119.8 1
3.6%
119.7 1
3.6%
119.2 1
3.6%
109.4 1
3.6%
106.0 1
3.6%
103.6 1
3.6%
102.9 1
3.6%

2019-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.16786
Minimum84.4
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:26.435905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.4
5-th percentile85.015
Q191.175
median98
Q3107.625
95-th percentile123.19
Maximum126
Range41.6
Interquartile range (IQR)16.45

Descriptive statistics

Standard deviation13.311094
Coefficient of variation (CV)0.13157434
Kurtosis-0.80052069
Mean101.16786
Median Absolute Deviation (MAD)7.9
Skewness0.66660943
Sum2832.7
Variance177.18522
MonotonicityNot monotonic
2024-03-16T13:15:26.663984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
97.2 2
 
7.1%
99.6 1
 
3.6%
104.7 1
 
3.6%
92.4 1
 
3.6%
84.7 1
 
3.6%
86.9 1
 
3.6%
102.2 1
 
3.6%
92.1 1
 
3.6%
90.8 1
 
3.6%
85.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
84.4 1
3.6%
84.7 1
3.6%
85.6 1
3.6%
86.9 1
3.6%
87.5 1
3.6%
89.4 1
3.6%
90.8 1
3.6%
91.3 1
3.6%
92.1 1
3.6%
92.4 1
3.6%
ValueCountFrequency (%)
126.0 1
3.6%
123.4 1
3.6%
122.8 1
3.6%
122.2 1
3.6%
122.0 1
3.6%
121.2 1
3.6%
109.5 1
3.6%
107.0 1
3.6%
104.7 1
3.6%
103.4 1
3.6%

2019-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.56429
Minimum84
Maximum126.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:26.865862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84
5-th percentile84.68
Q190.825
median97.65
Q3108.275
95-th percentile125.185
Maximum126.5
Range42.5
Interquartile range (IQR)17.45

Descriptive statistics

Standard deviation13.985289
Coefficient of variation (CV)0.13769889
Kurtosis-0.81724321
Mean101.56429
Median Absolute Deviation (MAD)8.55
Skewness0.67967208
Sum2843.8
Variance195.58831
MonotonicityNot monotonic
2024-03-16T13:15:27.053778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
97.4 2
 
7.1%
99.9 1
 
3.6%
106.3 1
 
3.6%
92.7 1
 
3.6%
84.4 1
 
3.6%
86.9 1
 
3.6%
101.7 1
 
3.6%
91.7 1
 
3.6%
90.6 1
 
3.6%
85.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
84.0 1
3.6%
84.4 1
3.6%
85.2 1
3.6%
86.9 1
3.6%
87.9 1
3.6%
89.2 1
3.6%
90.6 1
3.6%
90.9 1
3.6%
91.7 1
3.6%
92.7 1
3.6%
ValueCountFrequency (%)
126.5 1
3.6%
125.5 1
3.6%
124.6 1
3.6%
123.9 1
3.6%
123.6 1
3.6%
123.0 1
3.6%
110.0 1
3.6%
107.7 1
3.6%
106.3 1
3.6%
104.1 1
3.6%

2019-09
Real number (ℝ)

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.99286
Minimum84.3
Maximum128.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:27.255186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.3
5-th percentile84.51
Q190.75
median97.85
Q3108.875
95-th percentile126.54
Maximum128.6
Range44.3
Interquartile range (IQR)18.125

Descriptive statistics

Standard deviation14.602712
Coefficient of variation (CV)0.14317387
Kurtosis-0.82584265
Mean101.99286
Median Absolute Deviation (MAD)9.25
Skewness0.68139804
Sum2855.8
Variance213.23921
MonotonicityNot monotonic
2024-03-16T13:15:27.542601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100.3 2
 
7.1%
97.8 2
 
7.1%
87.0 2
 
7.1%
84.3 2
 
7.1%
97.9 1
 
3.6%
91.1 1
 
3.6%
102.7 1
 
3.6%
92.1 1
 
3.6%
90.3 1
 
3.6%
84.9 1
 
3.6%
Other values (14) 14
50.0%
ValueCountFrequency (%)
84.3 2
7.1%
84.9 1
3.6%
87.0 2
7.1%
89.2 1
3.6%
90.3 1
3.6%
90.9 1
3.6%
91.1 1
3.6%
92.1 1
3.6%
93.5 1
3.6%
97.7 1
3.6%
ValueCountFrequency (%)
128.6 1
3.6%
127.1 1
3.6%
125.5 1
3.6%
125.3 1
3.6%
125.0 1
3.6%
124.0 1
3.6%
110.6 1
3.6%
108.3 1
3.6%
107.7 1
3.6%
104.6 1
3.6%

2019-10
Real number (ℝ)

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.6
Minimum83.9
Maximum130.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:27.757402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.9
5-th percentile84.71
Q190.7
median98.15
Q3109.725
95-th percentile128.695
Maximum130.7
Range46.8
Interquartile range (IQR)19.025

Descriptive statistics

Standard deviation15.322822
Coefficient of variation (CV)0.14934525
Kurtosis-0.7991699
Mean102.6
Median Absolute Deviation (MAD)10.1
Skewness0.7057276
Sum2872.8
Variance234.78889
MonotonicityNot monotonic
2024-03-16T13:15:28.020126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
100.8 2
 
7.1%
98.1 2
 
7.1%
90.7 2
 
7.1%
111.0 1
 
3.6%
92.5 1
 
3.6%
83.9 1
 
3.6%
86.9 1
 
3.6%
102.5 1
 
3.6%
91.8 1
 
3.6%
84.5 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
83.9 1
3.6%
84.5 1
3.6%
85.1 1
3.6%
86.7 1
3.6%
86.9 1
3.6%
89.0 1
3.6%
90.7 2
7.1%
91.8 1
3.6%
92.5 1
3.6%
93.5 1
3.6%
ValueCountFrequency (%)
130.7 1
3.6%
129.5 1
3.6%
127.2 1
3.6%
126.7 1
3.6%
126.6 1
3.6%
126.2 1
3.6%
111.0 1
3.6%
109.3 1
3.6%
109.2 1
3.6%
104.9 1
3.6%

2019-11
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.53571
Minimum84.3
Maximum132.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:28.247372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.3
5-th percentile85.03
Q191.1
median99.5
Q3111.5
95-th percentile131.45
Maximum132.9
Range48.6
Interquartile range (IQR)20.4

Descriptive statistics

Standard deviation16.136644
Coefficient of variation (CV)0.15585582
Kurtosis-0.78474695
Mean103.53571
Median Absolute Deviation (MAD)10.75
Skewness0.72193701
Sum2899
Variance260.39127
MonotonicityNot monotonic
2024-03-16T13:15:28.431934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
86.5 2
 
7.1%
101.7 1
 
3.6%
110.4 1
 
3.6%
92.6 1
 
3.6%
84.4 1
 
3.6%
102.4 1
 
3.6%
91.4 1
 
3.6%
90.2 1
 
3.6%
84.3 1
 
3.6%
101.4 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
84.3 1
3.6%
84.4 1
3.6%
86.2 1
3.6%
86.5 2
7.1%
88.9 1
3.6%
90.2 1
3.6%
91.4 1
3.6%
92.6 1
3.6%
93.1 1
3.6%
94.2 1
3.6%
ValueCountFrequency (%)
132.9 1
3.6%
132.5 1
3.6%
129.5 1
3.6%
128.8 1
3.6%
128.7 1
3.6%
128.6 1
3.6%
111.8 1
3.6%
111.4 1
3.6%
110.4 1
3.6%
105.5 1
3.6%

2019-12
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.75
Minimum84.9
Maximum135.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:28.620818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.9
5-th percentile85.85
Q191.6
median100.7
Q3112.3
95-th percentile133.91
Maximum135.9
Range51
Interquartile range (IQR)20.7

Descriptive statistics

Standard deviation16.790617
Coefficient of variation (CV)0.16029229
Kurtosis-0.73737543
Mean104.75
Median Absolute Deviation (MAD)10.75
Skewness0.75563766
Sum2933
Variance281.92481
MonotonicityNot monotonic
2024-03-16T13:15:28.859635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
91.6 2
 
7.1%
102.7 1
 
3.6%
111.6 1
 
3.6%
93.0 1
 
3.6%
85.5 1
 
3.6%
86.9 1
 
3.6%
102.1 1
 
3.6%
84.9 1
 
3.6%
86.5 1
 
3.6%
102.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
84.9 1
3.6%
85.5 1
3.6%
86.5 1
3.6%
86.9 1
3.6%
87.3 1
3.6%
89.5 1
3.6%
91.6 2
7.1%
93.0 1
3.6%
95.1 1
3.6%
95.2 1
3.6%
ValueCountFrequency (%)
135.9 1
3.6%
135.1 1
3.6%
131.7 1
3.6%
131.4 1
3.6%
130.9 1
3.6%
130.8 1
3.6%
114.4 1
3.6%
111.6 1
3.6%
111.3 1
3.6%
106.2 1
3.6%

2020-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.31071
Minimum85.3
Maximum135.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:29.091674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.3
5-th percentile86.11
Q191.45
median101.65
Q3113.6
95-th percentile134.105
Maximum135.5
Range50.2
Interquartile range (IQR)22.15

Descriptive statistics

Standard deviation17.067802
Coefficient of variation (CV)0.1620709
Kurtosis-0.83367581
Mean105.31071
Median Absolute Deviation (MAD)10.85
Skewness0.70613857
Sum2948.7
Variance291.30988
MonotonicityNot monotonic
2024-03-16T13:15:29.305281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
103.4 2
 
7.1%
112.7 1
 
3.6%
91.0 1
 
3.6%
85.9 1
 
3.6%
86.7 1
 
3.6%
103.0 1
 
3.6%
91.8 1
 
3.6%
91.6 1
 
3.6%
85.3 1
 
3.6%
86.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
85.3 1
3.6%
85.9 1
3.6%
86.5 1
3.6%
86.7 1
3.6%
87.9 1
3.6%
89.6 1
3.6%
91.0 1
3.6%
91.6 1
3.6%
91.8 1
3.6%
95.0 1
3.6%
ValueCountFrequency (%)
135.5 1
3.6%
134.7 1
3.6%
133.0 1
3.6%
132.8 1
3.6%
132.5 1
3.6%
132.0 1
3.6%
116.3 1
3.6%
112.7 1
3.6%
111.8 1
3.6%
106.9 1
3.6%

2020-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.65
Minimum85.6
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:29.560436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.6
5-th percentile86.205
Q192.5
median102.9
Q3115.925
95-th percentile135.76
Maximum136
Range50.4
Interquartile range (IQR)23.425

Descriptive statistics

Standard deviation17.514322
Coefficient of variation (CV)0.16422243
Kurtosis-0.92392972
Mean106.65
Median Absolute Deviation (MAD)11.6
Skewness0.62939944
Sum2986.2
Variance306.75148
MonotonicityNot monotonic
2024-03-16T13:15:29.858392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
104.8 1
 
3.6%
112.6 1
 
3.6%
92.8 1
 
3.6%
86.1 1
 
3.6%
86.4 1
 
3.6%
103.5 1
 
3.6%
93.1 1
 
3.6%
91.6 1
 
3.6%
85.6 1
 
3.6%
87.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
85.6 1
3.6%
86.1 1
3.6%
86.4 1
3.6%
87.2 1
3.6%
88.8 1
3.6%
90.0 1
3.6%
91.6 1
3.6%
92.8 1
3.6%
93.1 1
3.6%
95.2 1
3.6%
ValueCountFrequency (%)
136.0 1
3.6%
135.9 1
3.6%
135.5 1
3.6%
134.7 1
3.6%
134.5 1
3.6%
133.6 1
3.6%
119.3 1
3.6%
114.8 1
3.6%
112.6 1
3.6%
108.7 1
3.6%

2020-03
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.06429
Minimum85.6
Maximum138.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:30.082485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.6
5-th percentile86.005
Q191.175
median103.75
Q3117.6
95-th percentile135.895
Maximum138.1
Range52.5
Interquartile range (IQR)26.425

Descriptive statistics

Standard deviation17.933937
Coefficient of variation (CV)0.16750625
Kurtosis-0.99426892
Mean107.06429
Median Absolute Deviation (MAD)13.3
Skewness0.57229836
Sum2997.8
Variance321.62608
MonotonicityNot monotonic
2024-03-16T13:15:30.342844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
105.6 1
 
3.6%
112.3 1
 
3.6%
89.0 1
 
3.6%
86.2 1
 
3.6%
85.6 1
 
3.6%
103.7 1
 
3.6%
93.1 1
 
3.6%
91.6 1
 
3.6%
85.9 1
 
3.6%
87.4 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
85.6 1
3.6%
85.9 1
3.6%
86.2 1
3.6%
87.4 1
3.6%
89.0 1
3.6%
89.1 1
3.6%
89.9 1
3.6%
91.6 1
3.6%
93.1 1
3.6%
95.2 1
3.6%
ValueCountFrequency (%)
138.1 1
3.6%
136.0 1
3.6%
135.7 1
3.6%
135.3 1
3.6%
135.2 1
3.6%
133.8 1
3.6%
120.9 1
3.6%
116.5 1
3.6%
112.3 1
3.6%
111.3 1
3.6%

2020-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.91786
Minimum85.9
Maximum137.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:30.592402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.9
5-th percentile86.205
Q191.95
median104.1
Q3117.8
95-th percentile134.565
Maximum137.5
Range51.6
Interquartile range (IQR)25.85

Descriptive statistics

Standard deviation17.404151
Coefficient of variation (CV)0.16278059
Kurtosis-1.0282116
Mean106.91786
Median Absolute Deviation (MAD)12.3
Skewness0.5446102
Sum2993.7
Variance302.90448
MonotonicityNot monotonic
2024-03-16T13:15:30.794372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
105.5 1
 
3.6%
112.2 1
 
3.6%
91.8 1
 
3.6%
85.9 1
 
3.6%
86.4 1
 
3.6%
103.6 1
 
3.6%
92.2 1
 
3.6%
92.0 1
 
3.6%
86.1 1
 
3.6%
87.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
85.9 1
3.6%
86.1 1
3.6%
86.4 1
3.6%
87.9 1
3.6%
88.3 1
3.6%
90.0 1
3.6%
91.8 1
3.6%
92.0 1
3.6%
92.2 1
3.6%
94.9 1
3.6%
ValueCountFrequency (%)
137.5 1
3.6%
134.6 1
3.6%
134.5 1
3.6%
134.1 1
3.6%
134.0 1
3.6%
131.6 1
3.6%
122.0 1
3.6%
116.4 1
3.6%
112.2 1
3.6%
110.3 1
3.6%

2020-05
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.71429
Minimum85.9
Maximum138.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:30.965207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.9
5-th percentile87.145
Q192.1
median105.3
Q3119.225
95-th percentile135.3
Maximum138.6
Range52.7
Interquartile range (IQR)27.125

Descriptive statistics

Standard deviation17.590501
Coefficient of variation (CV)0.16330704
Kurtosis-1.0887392
Mean107.71429
Median Absolute Deviation (MAD)13.4
Skewness0.50764492
Sum3016
Variance309.42571
MonotonicityNot monotonic
2024-03-16T13:15:31.267518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
135.3 2
 
7.1%
106.3 1
 
3.6%
124.4 1
 
3.6%
91.5 1
 
3.6%
85.9 1
 
3.6%
86.9 1
 
3.6%
104.6 1
 
3.6%
93.1 1
 
3.6%
92.3 1
 
3.6%
88.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
85.9 1
3.6%
86.9 1
3.6%
87.6 1
3.6%
88.2 1
3.6%
88.7 1
3.6%
90.6 1
3.6%
91.5 1
3.6%
92.3 1
3.6%
93.1 1
3.6%
95.0 1
3.6%
ValueCountFrequency (%)
138.6 1
3.6%
135.3 2
7.1%
135.0 1
3.6%
133.8 1
3.6%
132.6 1
3.6%
124.4 1
3.6%
117.5 1
3.6%
113.5 1
3.6%
112.2 1
3.6%
109.6 1
3.6%

2020-06
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.00714
Minimum86.9
Maximum143.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:31.455189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.9
5-th percentile88.035
Q192.85
median106.45
Q3122.45
95-th percentile139.99
Maximum143.4
Range56.5
Interquartile range (IQR)29.6

Descriptive statistics

Standard deviation19.144633
Coefficient of variation (CV)0.17403082
Kurtosis-1.0907547
Mean110.00714
Median Absolute Deviation (MAD)14.4
Skewness0.54944612
Sum3080.2
Variance366.51698
MonotonicityNot monotonic
2024-03-16T13:15:31.708375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
108.4 1
 
3.6%
113.0 1
 
3.6%
91.8 1
 
3.6%
86.9 1
 
3.6%
88.1 1
 
3.6%
105.0 1
 
3.6%
93.8 1
 
3.6%
93.2 1
 
3.6%
90.8 1
 
3.6%
88.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
86.9 1
3.6%
88.0 1
3.6%
88.1 1
3.6%
89.5 1
3.6%
90.8 1
3.6%
91.6 1
3.6%
91.8 1
3.6%
93.2 1
3.6%
93.8 1
3.6%
96.2 1
3.6%
ValueCountFrequency (%)
143.4 1
3.6%
140.2 1
3.6%
139.6 1
3.6%
139.3 1
3.6%
139.2 1
3.6%
138.7 1
3.6%
128.0 1
3.6%
120.6 1
3.6%
118.8 1
3.6%
113.0 1
3.6%

2020-07
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.71429
Minimum87.5
Maximum152.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:31.954097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.5
5-th percentile88.78
Q193.725
median107.45
Q3129.775
95-th percentile146.81
Maximum152.9
Range65.4
Interquartile range (IQR)36.05

Descriptive statistics

Standard deviation21.542167
Coefficient of variation (CV)0.19112189
Kurtosis-1.0655932
Mean112.71429
Median Absolute Deviation (MAD)15.9
Skewness0.59977297
Sum3156
Variance464.06497
MonotonicityNot monotonic
2024-03-16T13:15:32.125947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
110.8 1
 
3.6%
113.4 1
 
3.6%
92.9 1
 
3.6%
87.5 1
 
3.6%
88.5 1
 
3.6%
106.4 1
 
3.6%
94.2 1
 
3.6%
94.0 1
 
3.6%
90.8 1
 
3.6%
89.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
87.5 1
3.6%
88.5 1
3.6%
89.3 1
3.6%
90.8 1
3.6%
90.9 1
3.6%
92.2 1
3.6%
92.9 1
3.6%
94.0 1
3.6%
94.2 1
3.6%
97.2 1
3.6%
ValueCountFrequency (%)
152.9 1
3.6%
147.3 1
3.6%
145.9 1
3.6%
145.8 1
3.6%
144.4 1
3.6%
143.2 1
3.6%
130.3 1
3.6%
129.6 1
3.6%
124.8 1
3.6%
115.2 1
3.6%

2020-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.625
Minimum87.4
Maximum159.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:32.337729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.4
5-th percentile88.905
Q193.9
median107.4
Q3135.35
95-th percentile151.68
Maximum159.5
Range72.1
Interquartile range (IQR)41.45

Descriptive statistics

Standard deviation23.692515
Coefficient of variation (CV)0.20669588
Kurtosis-1.1126971
Mean114.625
Median Absolute Deviation (MAD)15.7
Skewness0.6172608
Sum3209.5
Variance561.33528
MonotonicityNot monotonic
2024-03-16T13:15:32.555352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
148.3 2
 
7.1%
112.2 1
 
3.6%
131.9 1
 
3.6%
93.0 1
 
3.6%
87.4 1
 
3.6%
88.8 1
 
3.6%
106.6 1
 
3.6%
94.2 1
 
3.6%
94.3 1
 
3.6%
91.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
87.4 1
3.6%
88.8 1
3.6%
89.1 1
3.6%
91.0 1
3.6%
91.1 1
3.6%
92.3 1
3.6%
93.0 1
3.6%
94.2 1
3.6%
94.3 1
3.6%
97.6 1
3.6%
ValueCountFrequency (%)
159.5 1
3.6%
152.1 1
3.6%
150.9 1
3.6%
148.3 2
7.1%
145.9 1
3.6%
145.7 1
3.6%
131.9 1
3.6%
127.0 1
3.6%
116.7 1
3.6%
113.9 1
3.6%

2020-09
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.78571
Minimum87.6
Maximum161.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:32.781743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.6
5-th percentile89.32
Q194.2
median108.05
Q3137.4
95-th percentile153.57
Maximum161.9
Range74.3
Interquartile range (IQR)43.2

Descriptive statistics

Standard deviation24.593656
Coefficient of variation (CV)0.21240666
Kurtosis-1.1252401
Mean115.78571
Median Absolute Deviation (MAD)16
Skewness0.62381692
Sum3242
Variance604.84794
MonotonicityNot monotonic
2024-03-16T13:15:32.981352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
150.8 2
 
7.1%
113.1 1
 
3.6%
114.1 1
 
3.6%
91.7 1
 
3.6%
87.6 1
 
3.6%
88.9 1
 
3.6%
107.1 1
 
3.6%
94.8 1
 
3.6%
94.7 1
 
3.6%
91.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
87.6 1
3.6%
88.9 1
3.6%
90.1 1
3.6%
91.2 1
3.6%
91.7 1
3.6%
92.4 1
3.6%
92.7 1
3.6%
94.7 1
3.6%
94.8 1
3.6%
98.7 1
3.6%
ValueCountFrequency (%)
161.9 1
3.6%
154.2 1
3.6%
152.4 1
3.6%
151.0 1
3.6%
150.8 2
7.1%
148.2 1
3.6%
133.8 1
3.6%
128.3 1
3.6%
117.7 1
3.6%
114.1 1
3.6%

2020-10
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.03929
Minimum88.5
Maximum163.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:33.193876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.5
5-th percentile90.19
Q194.925
median109.1
Q3139.4
95-th percentile154.735
Maximum163.7
Range75.2
Interquartile range (IQR)44.475

Descriptive statistics

Standard deviation24.585502
Coefficient of variation (CV)0.21006196
Kurtosis-1.12847
Mean117.03929
Median Absolute Deviation (MAD)15.75
Skewness0.60350229
Sum3277.1
Variance604.44692
MonotonicityNot monotonic
2024-03-16T13:15:33.502447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
114.6 1
 
3.6%
115.1 1
 
3.6%
93.2 1
 
3.6%
88.5 1
 
3.6%
89.7 1
 
3.6%
107.8 1
 
3.6%
95.2 1
 
3.6%
95.3 1
 
3.6%
92.2 1
 
3.6%
91.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
88.5 1
3.6%
89.7 1
3.6%
91.1 1
3.6%
92.2 1
3.6%
93.2 1
3.6%
93.5 1
3.6%
94.1 1
3.6%
95.2 1
3.6%
95.3 1
3.6%
101.3 1
3.6%
ValueCountFrequency (%)
163.7 1
3.6%
155.4 1
3.6%
153.5 1
3.6%
153.4 1
3.6%
150.7 1
3.6%
150.1 1
3.6%
149.0 1
3.6%
136.2 1
3.6%
129.9 1
3.6%
119.9 1
3.6%

2020-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.59643
Minimum90.7
Maximum166.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:33.720533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.7
5-th percentile91.37
Q196.575
median112.7
Q3141.55
95-th percentile158.82
Maximum166.9
Range76.2
Interquartile range (IQR)44.975

Descriptive statistics

Standard deviation25.399642
Coefficient of variation (CV)0.21237793
Kurtosis-1.133564
Mean119.59643
Median Absolute Deviation (MAD)18.95
Skewness0.57819617
Sum3348.7
Variance645.14184
MonotonicityNot monotonic
2024-03-16T13:15:33.966367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
117.2 1
 
3.6%
117.8 1
 
3.6%
92.8 1
 
3.6%
90.7 1
 
3.6%
91.5 1
 
3.6%
108.4 1
 
3.6%
96.6 1
 
3.6%
96.5 1
 
3.6%
92.7 1
 
3.6%
91.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
90.7 1
3.6%
91.3 1
3.6%
91.5 1
3.6%
92.7 1
3.6%
92.8 1
3.6%
94.7 1
3.6%
96.5 1
3.6%
96.6 1
3.6%
98.3 1
3.6%
104.1 1
3.6%
ValueCountFrequency (%)
166.9 1
3.6%
159.1 1
3.6%
158.3 1
3.6%
156.8 1
3.6%
155.7 1
3.6%
153.8 1
3.6%
151.0 1
3.6%
138.4 1
3.6%
132.6 1
3.6%
123.0 1
3.6%

2020-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.38929
Minimum93
Maximum170.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:34.219165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile93.55
Q198.525
median116.1
Q3143.975
95-th percentile163.81
Maximum170.5
Range77.5
Interquartile range (IQR)45.45

Descriptive statistics

Standard deviation25.946902
Coefficient of variation (CV)0.21200305
Kurtosis-1.1197072
Mean122.38929
Median Absolute Deviation (MAD)19.6
Skewness0.57856535
Sum3426.9
Variance673.24173
MonotonicityNot monotonic
2024-03-16T13:15:34.545228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
120.1 1
 
3.6%
119.3 1
 
3.6%
95.7 1
 
3.6%
93.0 1
 
3.6%
94.4 1
 
3.6%
108.2 1
 
3.6%
98.7 1
 
3.6%
98.0 1
 
3.6%
94.2 1
 
3.6%
93.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
93.0 1
3.6%
93.2 1
3.6%
94.2 1
3.6%
94.4 1
3.6%
95.7 1
3.6%
96.5 1
3.6%
98.0 1
3.6%
98.7 1
3.6%
101.3 1
3.6%
106.7 1
3.6%
ValueCountFrequency (%)
170.5 1
3.6%
165.0 1
3.6%
161.6 1
3.6%
159.4 1
3.6%
159.2 1
3.6%
157.0 1
3.6%
154.1 1
3.6%
140.6 1
3.6%
135.7 1
3.6%
126.3 1
3.6%

2021-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.04286
Minimum94
Maximum176.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:34.754335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile95.57
Q199.625
median118.35
Q3147.275
95-th percentile167.415
Maximum176.1
Range82.1
Interquartile range (IQR)47.65

Descriptive statistics

Standard deviation27.270883
Coefficient of variation (CV)0.21809229
Kurtosis-1.1432441
Mean125.04286
Median Absolute Deviation (MAD)21.25
Skewness0.56405998
Sum3501.2
Variance743.70106
MonotonicityNot monotonic
2024-03-16T13:15:34.976346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
95.7 2
 
7.1%
123.1 1
 
3.6%
140.3 1
 
3.6%
95.5 1
 
3.6%
94.0 1
 
3.6%
95.8 1
 
3.6%
108.7 1
 
3.6%
99.8 1
 
3.6%
99.1 1
 
3.6%
131.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
94.0 1
3.6%
95.5 1
3.6%
95.7 2
7.1%
95.8 1
3.6%
97.8 1
3.6%
99.1 1
3.6%
99.8 1
3.6%
103.2 1
3.6%
108.4 1
3.6%
108.7 1
3.6%
ValueCountFrequency (%)
176.1 1
3.6%
167.8 1
3.6%
166.7 1
3.6%
164.2 1
3.6%
163.7 1
3.6%
162.1 1
3.6%
156.8 1
3.6%
144.1 1
3.6%
140.3 1
3.6%
131.2 1
3.6%

2021-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.85
Minimum94.7
Maximum179.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:35.175886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.7
5-th percentile96.905
Q1100.525
median119.85
Q3148.975
95-th percentile170.595
Maximum179.8
Range85.1
Interquartile range (IQR)48.45

Descriptive statistics

Standard deviation27.890308
Coefficient of variation (CV)0.21986841
Kurtosis-1.1407334
Mean126.85
Median Absolute Deviation (MAD)21.6
Skewness0.55672824
Sum3551.8
Variance777.86926
MonotonicityNot monotonic
2024-03-16T13:15:35.379636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
125.4 1
 
3.6%
121.8 1
 
3.6%
97.1 1
 
3.6%
94.7 1
 
3.6%
97.2 1
 
3.6%
109.1 1
 
3.6%
100.7 1
 
3.6%
100.0 1
 
3.6%
97.7 1
 
3.6%
96.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
94.7 1
3.6%
96.8 1
3.6%
97.1 1
3.6%
97.2 1
3.6%
97.7 1
3.6%
98.8 1
3.6%
100.0 1
3.6%
100.7 1
3.6%
103.6 1
3.6%
109.1 1
3.6%
ValueCountFrequency (%)
179.8 1
3.6%
171.4 1
3.6%
169.1 1
3.6%
166.7 1
3.6%
166.1 1
3.6%
163.1 1
3.6%
158.2 1
3.6%
145.9 1
3.6%
143.7 1
3.6%
135.5 1
3.6%

2021-03
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.98929
Minimum95.2
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:35.535246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.2
5-th percentile97.875
Q1102.15
median121.1
Q3150.65
95-th percentile170.805
Maximum181
Range85.8
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation27.62321
Coefficient of variation (CV)0.21582439
Kurtosis-1.1692811
Mean127.98929
Median Absolute Deviation (MAD)21.3
Skewness0.5278558
Sum3583.7
Variance763.04173
MonotonicityNot monotonic
2024-03-16T13:15:35.790289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
120.9 2
 
7.1%
99.8 2
 
7.1%
127.0 1
 
3.6%
148.4 1
 
3.6%
95.2 1
 
3.6%
97.7 1
 
3.6%
109.8 1
 
3.6%
102.4 1
 
3.6%
101.4 1
 
3.6%
99.3 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
95.2 1
3.6%
97.7 1
3.6%
98.2 1
3.6%
99.3 1
3.6%
99.8 2
7.1%
101.4 1
3.6%
102.4 1
3.6%
104.1 1
3.6%
109.8 1
3.6%
110.5 1
3.6%
ValueCountFrequency (%)
181.0 1
3.6%
171.4 1
3.6%
169.7 1
3.6%
167.2 1
3.6%
165.2 1
3.6%
163.5 1
3.6%
157.4 1
3.6%
148.4 1
3.6%
146.3 1
3.6%
139.1 1
3.6%

2021-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.24643
Minimum95.7
Maximum182.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:35.967138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.7
5-th percentile99.14
Q1102.975
median122.7
Q3153.2
95-th percentile170.195
Maximum182.5
Range86.8
Interquartile range (IQR)50.225

Descriptive statistics

Standard deviation27.749187
Coefficient of variation (CV)0.21469984
Kurtosis-1.2260802
Mean129.24643
Median Absolute Deviation (MAD)22.05
Skewness0.49093273
Sum3618.9
Variance770.01739
MonotonicityNot monotonic
2024-03-16T13:15:36.684472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.7 1
 
3.6%
122.9 1
 
3.6%
100.2 1
 
3.6%
95.7 1
 
3.6%
99.0 1
 
3.6%
110.0 1
 
3.6%
103.3 1
 
3.6%
102.0 1
 
3.6%
100.6 1
 
3.6%
99.4 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
95.7 1
3.6%
99.0 1
3.6%
99.4 1
3.6%
100.2 1
3.6%
100.6 1
3.6%
100.7 1
3.6%
102.0 1
3.6%
103.3 1
3.6%
105.1 1
3.6%
110.0 1
3.6%
ValueCountFrequency (%)
182.5 1
3.6%
171.0 1
3.6%
168.7 1
3.6%
167.9 1
3.6%
167.8 1
3.6%
164.2 1
3.6%
161.0 1
3.6%
150.6 1
3.6%
148.8 1
3.6%
142.1 1
3.6%

2021-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.06071
Minimum96.9
Maximum185.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:36.892017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.9
5-th percentile99.775
Q1104.325
median123.8
Q3155.05
95-th percentile173.575
Maximum185.9
Range89
Interquartile range (IQR)50.725

Descriptive statistics

Standard deviation28.457679
Coefficient of variation (CV)0.21713356
Kurtosis-1.2300123
Mean131.06071
Median Absolute Deviation (MAD)21.9
Skewness0.48733492
Sum3669.7
Variance809.83951
MonotonicityNot monotonic
2024-03-16T13:15:37.083561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
130.9 1
 
3.6%
123.4 1
 
3.6%
102.1 1
 
3.6%
96.9 1
 
3.6%
99.6 1
 
3.6%
110.2 1
 
3.6%
104.7 1
 
3.6%
103.2 1
 
3.6%
102.6 1
 
3.6%
100.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
96.9 1
3.6%
99.6 1
3.6%
100.1 1
3.6%
101.7 1
3.6%
102.1 1
3.6%
102.6 1
3.6%
103.2 1
3.6%
104.7 1
3.6%
105.2 1
3.6%
110.2 1
3.6%
ValueCountFrequency (%)
185.9 1
3.6%
174.1 1
3.6%
172.6 1
3.6%
171.2 1
3.6%
167.9 1
3.6%
166.8 1
3.6%
163.0 1
3.6%
152.4 1
3.6%
152.0 1
3.6%
145.9 1
3.6%

2021-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.56429
Minimum97.6
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:37.292540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.6
5-th percentile100.82
Q1105.775
median126.25
Q3159.725
95-th percentile177.155
Maximum190
Range92.4
Interquartile range (IQR)53.95

Descriptive statistics

Standard deviation29.488393
Coefficient of variation (CV)0.22078053
Kurtosis-1.2793343
Mean133.56429
Median Absolute Deviation (MAD)23.2
Skewness0.45403336
Sum3739.8
Variance869.56534
MonotonicityNot monotonic
2024-03-16T13:15:37.455548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
104.5 2
 
7.1%
133.9 1
 
3.6%
157.0 1
 
3.6%
103.1 1
 
3.6%
97.6 1
 
3.6%
100.4 1
 
3.6%
111.1 1
 
3.6%
106.8 1
 
3.6%
101.6 1
 
3.6%
150.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
97.6 1
3.6%
100.4 1
3.6%
101.6 1
3.6%
103.0 1
3.6%
103.1 1
3.6%
104.5 2
7.1%
106.2 1
3.6%
106.8 1
3.6%
111.1 1
3.6%
114.0 1
3.6%
ValueCountFrequency (%)
190.0 1
3.6%
178.1 1
3.6%
175.4 1
3.6%
173.3 1
3.6%
170.9 1
3.6%
170.5 1
3.6%
167.9 1
3.6%
157.0 1
3.6%
155.9 1
3.6%
150.8 1
3.6%

2021-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.04643
Minimum99.1
Maximum194.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:37.617402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.1
5-th percentile102.565
Q1107.65
median128.7
Q3163.425
95-th percentile180.98
Maximum194.6
Range95.5
Interquartile range (IQR)55.775

Descriptive statistics

Standard deviation30.087742
Coefficient of variation (CV)0.2211579
Kurtosis-1.2659253
Mean136.04643
Median Absolute Deviation (MAD)23.45
Skewness0.4443582
Sum3809.3
Variance905.27221
MonotonicityNot monotonic
2024-03-16T13:15:37.802315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
106.0 2
 
7.1%
137.1 1
 
3.6%
162.1 1
 
3.6%
106.9 1
 
3.6%
99.1 1
 
3.6%
101.9 1
 
3.6%
111.0 1
 
3.6%
108.9 1
 
3.6%
103.8 1
 
3.6%
156.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
99.1 1
3.6%
101.9 1
3.6%
103.8 1
3.6%
104.5 1
3.6%
106.0 2
7.1%
106.9 1
3.6%
107.9 1
3.6%
108.9 1
3.6%
111.0 1
3.6%
115.7 1
3.6%
ValueCountFrequency (%)
194.6 1
3.6%
182.1 1
3.6%
178.9 1
3.6%
176.9 1
3.6%
174.9 1
3.6%
169.2 1
3.6%
167.4 1
3.6%
162.1 1
3.6%
158.4 1
3.6%
156.2 1
3.6%

2021-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.75357
Minimum101
Maximum197.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:38.097399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile104.395
Q1109.25
median131.35
Q3166.65
95-th percentile184.86
Maximum197.7
Range96.7
Interquartile range (IQR)57.4

Descriptive statistics

Standard deviation30.805789
Coefficient of variation (CV)0.22201799
Kurtosis-1.3136978
Mean138.75357
Median Absolute Deviation (MAD)23.8
Skewness0.43098369
Sum3885.1
Variance948.99665
MonotonicityNot monotonic
2024-03-16T13:15:38.312533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
161.9 2
 
7.1%
140.4 1
 
3.6%
167.1 1
 
3.6%
109.3 1
 
3.6%
101.0 1
 
3.6%
103.8 1
 
3.6%
112.2 1
 
3.6%
111.5 1
 
3.6%
108.8 1
 
3.6%
109.1 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
101.0 1
3.6%
103.8 1
3.6%
105.5 1
3.6%
106.6 1
3.6%
108.5 1
3.6%
108.8 1
3.6%
109.1 1
3.6%
109.3 1
3.6%
111.5 1
3.6%
112.2 1
3.6%
ValueCountFrequency (%)
197.7 1
3.6%
185.7 1
3.6%
183.3 1
3.6%
179.8 1
3.6%
178.9 1
3.6%
173.7 1
3.6%
167.1 1
3.6%
166.5 1
3.6%
161.9 2
7.1%
147.0 1
3.6%

2021-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.18214
Minimum102.9
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:38.529738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102.9
5-th percentile106.12
Q1113.05
median133.25
Q3168.65
95-th percentile187.59
Maximum201
Range98.1
Interquartile range (IQR)55.6

Descriptive statistics

Standard deviation31.154562
Coefficient of variation (CV)0.22066928
Kurtosis-1.3232091
Mean141.18214
Median Absolute Deviation (MAD)24.05
Skewness0.4281116
Sum3953.1
Variance970.60671
MonotonicityNot monotonic
2024-03-16T13:15:38.873713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
143.1 1
 
3.6%
134.8 1
 
3.6%
113.6 1
 
3.6%
102.9 1
 
3.6%
105.0 1
 
3.6%
114.1 1
 
3.6%
113.9 1
 
3.6%
111.1 1
 
3.6%
111.4 1
 
3.6%
108.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
102.9 1
3.6%
105.0 1
3.6%
108.2 1
3.6%
108.7 1
3.6%
109.7 1
3.6%
111.1 1
3.6%
111.4 1
3.6%
113.6 1
3.6%
113.9 1
3.6%
114.1 1
3.6%
ValueCountFrequency (%)
201.0 1
3.6%
188.5 1
3.6%
185.9 1
3.6%
182.3 1
3.6%
182.1 1
3.6%
175.3 1
3.6%
170.9 1
3.6%
167.9 1
3.6%
166.1 1
3.6%
164.6 1
3.6%

2021-10
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.23214
Minimum104.1
Maximum201.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:39.161258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.1
5-th percentile106.88
Q1113.375
median133.75
Q3169.45
95-th percentile188.33
Maximum201.3
Range97.2
Interquartile range (IQR)56.075

Descriptive statistics

Standard deviation31.050342
Coefficient of variation (CV)0.21830749
Kurtosis-1.3539617
Mean142.23214
Median Absolute Deviation (MAD)23.35
Skewness0.40209864
Sum3982.5
Variance964.12374
MonotonicityNot monotonic
2024-03-16T13:15:39.381093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
144.5 1
 
3.6%
139.6 1
 
3.6%
111.4 1
 
3.6%
104.1 1
 
3.6%
105.2 1
 
3.6%
114.5 1
 
3.6%
115.1 1
 
3.6%
113.3 1
 
3.6%
113.4 1
 
3.6%
110.6 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
104.1 1
3.6%
105.2 1
3.6%
110.0 1
3.6%
110.2 1
3.6%
110.6 1
3.6%
111.4 1
3.6%
113.3 1
3.6%
113.4 1
3.6%
114.5 1
3.6%
115.1 1
3.6%
ValueCountFrequency (%)
201.3 1
3.6%
189.1 1
3.6%
186.9 1
3.6%
183.1 1
3.6%
180.6 1
3.6%
177.4 1
3.6%
172.6 1
3.6%
168.4 1
3.6%
166.8 1
3.6%
166.4 1
3.6%

2021-11
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.31786
Minimum104.3
Maximum197.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:39.566043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.3
5-th percentile106.765
Q1113.775
median132.8
Q3168.15
95-th percentile184.265
Maximum197.4
Range93.1
Interquartile range (IQR)54.375

Descriptive statistics

Standard deviation29.918866
Coefficient of variation (CV)0.21171327
Kurtosis-1.3773173
Mean141.31786
Median Absolute Deviation (MAD)22.2
Skewness0.39103892
Sum3956.9
Variance895.13856
MonotonicityNot monotonic
2024-03-16T13:15:39.774363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
181.6 2
 
7.1%
143.6 1
 
3.6%
164.6 1
 
3.6%
110.8 1
 
3.6%
104.3 1
 
3.6%
105.4 1
 
3.6%
116.0 1
 
3.6%
115.9 1
 
3.6%
113.4 1
 
3.6%
113.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
104.3 1
3.6%
105.4 1
3.6%
109.3 1
3.6%
110.4 1
3.6%
110.8 1
3.6%
111.2 1
3.6%
113.4 1
3.6%
113.9 1
3.6%
115.9 1
3.6%
116.0 1
3.6%
ValueCountFrequency (%)
197.4 1
3.6%
185.7 1
3.6%
181.6 2
7.1%
179.8 1
3.6%
179.0 1
3.6%
171.0 1
3.6%
167.2 1
3.6%
164.6 1
3.6%
160.0 1
3.6%
153.9 1
3.6%

2021-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.88929
Minimum103.8
Maximum193.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:39.952092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103.8
5-th percentile107.17
Q1114.175
median131.2
Q3165.7
95-th percentile182.34
Maximum193.6
Range89.8
Interquartile range (IQR)51.525

Descriptive statistics

Standard deviation28.638298
Coefficient of variation (CV)0.20472117
Kurtosis-1.3565801
Mean139.88929
Median Absolute Deviation (MAD)20.4
Skewness0.41155779
Sum3916.9
Variance820.1521
MonotonicityNot monotonic
2024-03-16T13:15:40.184359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
142.0 1
 
3.6%
141.6 1
 
3.6%
111.0 1
 
3.6%
103.8 1
 
3.6%
105.7 1
 
3.6%
115.8 1
 
3.6%
116.1 1
 
3.6%
113.5 1
 
3.6%
114.4 1
 
3.6%
112.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
103.8 1
3.6%
105.7 1
3.6%
109.9 1
3.6%
110.6 1
3.6%
111.0 1
3.6%
112.1 1
3.6%
113.5 1
3.6%
114.4 1
3.6%
115.8 1
3.6%
116.1 1
3.6%
ValueCountFrequency (%)
193.6 1
3.6%
182.9 1
3.6%
181.3 1
3.6%
178.5 1
3.6%
175.5 1
3.6%
175.2 1
3.6%
168.4 1
3.6%
164.8 1
3.6%
161.3 1
3.6%
156.6 1
3.6%

2022-01
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.38571
Minimum104.2
Maximum192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:40.419175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.2
5-th percentile106.77
Q1114.025
median131
Q3163.8
95-th percentile181.365
Maximum192
Range87.8
Interquartile range (IQR)49.775

Descriptive statistics

Standard deviation28.109214
Coefficient of variation (CV)0.20166496
Kurtosis-1.3097413
Mean139.38571
Median Absolute Deviation (MAD)19.6
Skewness0.43627431
Sum3902.8
Variance790.12794
MonotonicityNot monotonic
2024-03-16T13:15:40.622165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
141.2 1
 
3.6%
142.2 1
 
3.6%
112.1 1
 
3.6%
104.2 1
 
3.6%
105.3 1
 
3.6%
115.9 1
 
3.6%
116.1 1
 
3.6%
113.8 1
 
3.6%
114.1 1
 
3.6%
112.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
104.2 1
3.6%
105.3 1
3.6%
109.5 1
3.6%
110.7 1
3.6%
112.1 1
3.6%
112.5 1
3.6%
113.8 1
3.6%
114.1 1
3.6%
115.9 1
3.6%
116.1 1
3.6%
ValueCountFrequency (%)
192.0 1
3.6%
182.1 1
3.6%
180.0 1
3.6%
179.3 1
3.6%
176.2 1
3.6%
173.8 1
3.6%
166.8 1
3.6%
162.8 1
3.6%
160.5 1
3.6%
151.6 1
3.6%

2022-02
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.03214
Minimum104.8
Maximum187.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:40.828609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.8
5-th percentile107.145
Q1114.5
median130.55
Q3163.5
95-th percentile179.92
Maximum187.4
Range82.6
Interquartile range (IQR)49

Descriptive statistics

Standard deviation27.607125
Coefficient of variation (CV)0.1985665
Kurtosis-1.3910138
Mean139.03214
Median Absolute Deviation (MAD)19.5
Skewness0.41301634
Sum3892.9
Variance762.15337
MonotonicityNot monotonic
2024-03-16T13:15:41.033783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
179.4 2
 
7.1%
140.9 1
 
3.6%
158.4 1
 
3.6%
111.2 1
 
3.6%
104.8 1
 
3.6%
106.2 1
 
3.6%
114.8 1
 
3.6%
116.5 1
 
3.6%
113.3 1
 
3.6%
115.0 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
104.8 1
3.6%
106.2 1
3.6%
108.9 1
3.6%
111.0 1
3.6%
111.2 1
3.6%
113.3 1
3.6%
113.6 1
3.6%
114.8 1
3.6%
115.0 1
3.6%
116.5 1
3.6%
ValueCountFrequency (%)
187.4 1
3.6%
180.2 1
3.6%
179.4 2
7.1%
176.8 1
3.6%
173.5 1
3.6%
166.2 1
3.6%
162.6 1
3.6%
158.4 1
3.6%
152.1 1
3.6%
150.0 1
3.6%

2022-03
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.40357
Minimum105.2
Maximum192.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:41.256973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.2
5-th percentile106.85
Q1115.2
median130.45
Q3164.425
95-th percentile181.785
Maximum192.4
Range87.2
Interquartile range (IQR)49.225

Descriptive statistics

Standard deviation27.721104
Coefficient of variation (CV)0.19885505
Kurtosis-1.2655083
Mean139.40357
Median Absolute Deviation (MAD)18.9
Skewness0.46548145
Sum3903.3
Variance768.45962
MonotonicityNot monotonic
2024-03-16T13:15:41.455742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
141.4 1
 
3.6%
143.6 1
 
3.6%
114.0 1
 
3.6%
105.2 1
 
3.6%
105.8 1
 
3.6%
115.8 1
 
3.6%
117.6 1
 
3.6%
113.5 1
 
3.6%
114.6 1
 
3.6%
115.4 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
105.2 1
3.6%
105.8 1
3.6%
108.8 1
3.6%
111.6 1
3.6%
113.5 1
3.6%
114.0 1
3.6%
114.6 1
3.6%
115.4 1
3.6%
115.8 1
3.6%
117.6 1
3.6%
ValueCountFrequency (%)
192.4 1
3.6%
182.1 1
3.6%
181.2 1
3.6%
177.3 1
3.6%
174.9 1
3.6%
173.0 1
3.6%
167.2 1
3.6%
163.5 1
3.6%
157.8 1
3.6%
149.9 1
3.6%

2022-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.225
Minimum105.7
Maximum195.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:41.632548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.7
5-th percentile107.62
Q1115.975
median130.8
Q3164.825
95-th percentile183.24
Maximum195.2
Range89.5
Interquartile range (IQR)48.85

Descriptive statistics

Standard deviation27.930451
Coefficient of variation (CV)0.19918311
Kurtosis-1.1947057
Mean140.225
Median Absolute Deviation (MAD)18.3
Skewness0.5032253
Sum3926.3
Variance780.11009
MonotonicityNot monotonic
2024-03-16T13:15:41.826834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
142.0 1
 
3.6%
144.4 1
 
3.6%
117.3 1
 
3.6%
105.7 1
 
3.6%
106.5 1
 
3.6%
115.6 1
 
3.6%
119.5 1
 
3.6%
114.2 1
 
3.6%
115.4 1
 
3.6%
116.1 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
105.7 1
3.6%
106.5 1
3.6%
109.7 1
3.6%
112.4 1
3.6%
114.2 1
3.6%
115.4 1
3.6%
115.6 1
3.6%
116.1 1
3.6%
117.3 1
3.6%
119.5 1
3.6%
ValueCountFrequency (%)
195.2 1
3.6%
183.8 1
3.6%
182.2 1
3.6%
178.4 1
3.6%
175.5 1
3.6%
175.1 1
3.6%
167.9 1
3.6%
163.8 1
3.6%
158.4 1
3.6%
149.6 1
3.6%

2022-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.03929
Minimum105.5
Maximum189.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:42.000835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.5
5-th percentile107.45
Q1115.7
median129.6
Q3163.025
95-th percentile180.44
Maximum189.6
Range84.1
Interquartile range (IQR)47.325

Descriptive statistics

Standard deviation27.17656
Coefficient of variation (CV)0.19545958
Kurtosis-1.2747973
Mean139.03929
Median Absolute Deviation (MAD)17.85
Skewness0.48531002
Sum3893.1
Variance738.56544
MonotonicityNot monotonic
2024-03-16T13:15:42.180490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
140.7 1
 
3.6%
143.9 1
 
3.6%
116.0 1
 
3.6%
105.5 1
 
3.6%
106.4 1
 
3.6%
114.8 1
 
3.6%
119.7 1
 
3.6%
113.6 1
 
3.6%
114.2 1
 
3.6%
116.6 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
105.5 1
3.6%
106.4 1
3.6%
109.4 1
3.6%
112.1 1
3.6%
113.6 1
3.6%
114.2 1
3.6%
114.8 1
3.6%
116.0 1
3.6%
116.6 1
3.6%
119.6 1
3.6%
ValueCountFrequency (%)
189.6 1
3.6%
181.0 1
3.6%
179.4 1
3.6%
177.0 1
3.6%
176.3 1
3.6%
174.7 1
3.6%
165.8 1
3.6%
162.1 1
3.6%
155.5 1
3.6%
148.0 1
3.6%

2022-06
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.66786
Minimum105.3
Maximum191.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:42.371358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105.3
5-th percentile107.645
Q1115.575
median128.8
Q3160.975
95-th percentile180.75
Maximum191.3
Range86
Interquartile range (IQR)45.4

Descriptive statistics

Standard deviation27.252836
Coefficient of variation (CV)0.19653319
Kurtosis-1.1650636
Mean138.66786
Median Absolute Deviation (MAD)16.2
Skewness0.54904991
Sum3882.7
Variance742.71708
MonotonicityNot monotonic
2024-03-16T13:15:42.617850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
139.8 1
 
3.6%
144.6 1
 
3.6%
115.7 1
 
3.6%
105.3 1
 
3.6%
107.4 1
 
3.6%
115.2 1
 
3.6%
119.4 1
 
3.6%
113.7 1
 
3.6%
115.1 1
 
3.6%
116.7 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
105.3 1
3.6%
107.4 1
3.6%
108.1 1
3.6%
112.3 1
3.6%
113.7 1
3.6%
115.1 1
3.6%
115.2 1
3.6%
115.7 1
3.6%
116.7 1
3.6%
119.3 1
3.6%
ValueCountFrequency (%)
191.3 1
3.6%
181.1 1
3.6%
180.1 1
3.6%
178.4 1
3.6%
177.8 1
3.6%
172.1 1
3.6%
164.2 1
3.6%
159.9 1
3.6%
155.6 1
3.6%
145.1 1
3.6%

2022-07
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.1
Minimum104.3
Maximum180.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:42.863332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.3
5-th percentile106.435
Q1115.025
median126.05
Q3155.275
95-th percentile174.48
Maximum180.8
Range76.5
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation24.823421
Coefficient of variation (CV)0.18374109
Kurtosis-1.1808885
Mean135.1
Median Absolute Deviation (MAD)14.55
Skewness0.54692484
Sum3782.8
Variance616.20222
MonotonicityNot monotonic
2024-03-16T13:15:43.086383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
111.5 2
 
7.1%
136.2 1
 
3.6%
140.7 1
 
3.6%
104.3 1
 
3.6%
106.4 1
 
3.6%
115.3 1
 
3.6%
119.1 1
 
3.6%
112.6 1
 
3.6%
114.2 1
 
3.6%
116.9 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
104.3 1
3.6%
106.4 1
3.6%
106.5 1
3.6%
111.5 2
7.1%
112.6 1
3.6%
114.2 1
3.6%
115.3 1
3.6%
116.9 1
3.6%
117.7 1
3.6%
118.1 1
3.6%
ValueCountFrequency (%)
180.8 1
3.6%
174.9 1
3.6%
173.7 1
3.6%
172.8 1
3.6%
170.8 1
3.6%
164.8 1
3.6%
158.2 1
3.6%
154.3 1
3.6%
152.5 1
3.6%
140.7 1
3.6%

2022-08
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.4
Minimum103.7
Maximum174.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:43.420489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103.7
5-th percentile105.305
Q1113.575
median123.5
Q3151.175
95-th percentile170.02
Maximum174.8
Range71.1
Interquartile range (IQR)37.6

Descriptive statistics

Standard deviation23.238872
Coefficient of variation (CV)0.17552018
Kurtosis-1.1477318
Mean132.4
Median Absolute Deviation (MAD)12.65
Skewness0.57710362
Sum3707.2
Variance540.04519
MonotonicityNot monotonic
2024-03-16T13:15:43.701227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
133.3 1
 
3.6%
138.6 1
 
3.6%
111.5 1
 
3.6%
103.7 1
 
3.6%
105.5 1
 
3.6%
113.7 1
 
3.6%
119.3 1
 
3.6%
111.8 1
 
3.6%
113.2 1
 
3.6%
116.6 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
103.7 1
3.6%
105.2 1
3.6%
105.5 1
3.6%
110.9 1
3.6%
111.5 1
3.6%
111.8 1
3.6%
113.2 1
3.6%
113.7 1
3.6%
115.1 1
3.6%
116.2 1
3.6%
ValueCountFrequency (%)
174.8 1
3.6%
170.3 1
3.6%
169.5 1
3.6%
168.5 1
3.6%
164.7 1
3.6%
161.5 1
3.6%
153.8 1
3.6%
150.3 1
3.6%
148.0 1
3.6%
138.6 1
3.6%

2022-09
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.21071
Minimum103.1
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:43.901408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103.1
5-th percentile104.32
Q1113.325
median121.35
Q3147.075
95-th percentile164.4
Maximum171
Range67.9
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation21.679677
Coefficient of variation (CV)0.16649688
Kurtosis-1.125336
Mean130.21071
Median Absolute Deviation (MAD)11.1
Skewness0.57432951
Sum3645.9
Variance470.0084
MonotonicityNot monotonic
2024-03-16T13:15:44.080421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
114.8 2
 
7.1%
164.4 2
 
7.1%
130.4 1
 
3.6%
146.4 1
 
3.6%
103.1 1
 
3.6%
105.1 1
 
3.6%
113.5 1
 
3.6%
116.7 1
 
3.6%
110.8 1
 
3.6%
112.4 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
103.1 1
3.6%
103.9 1
3.6%
105.1 1
3.6%
110.1 1
3.6%
110.8 1
3.6%
112.4 1
3.6%
112.8 1
3.6%
113.5 1
3.6%
114.8 2
7.1%
115.0 1
3.6%
ValueCountFrequency (%)
171.0 1
3.6%
164.4 2
7.1%
163.3 1
3.6%
161.4 1
3.6%
157.5 1
3.6%
149.1 1
3.6%
146.4 1
3.6%
145.0 1
3.6%
137.2 1
3.6%
132.3 1
3.6%

2022-10
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.07857
Minimum101.8
Maximum162.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:44.263965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101.8
5-th percentile102.385
Q1110.975
median118.25
Q3141.325
95-th percentile159.25
Maximum162.4
Range60.6
Interquartile range (IQR)30.35

Descriptive statistics

Standard deviation19.623292
Coefficient of variation (CV)0.15564336
Kurtosis-1.04265
Mean126.07857
Median Absolute Deviation (MAD)9.55
Skewness0.61951007
Sum3530.2
Variance385.0736
MonotonicityNot monotonic
2024-03-16T13:15:44.419481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
126.0 1
 
3.6%
134.0 1
 
3.6%
111.3 1
 
3.6%
101.8 1
 
3.6%
103.1 1
 
3.6%
111.7 1
 
3.6%
116.1 1
 
3.6%
109.0 1
 
3.6%
109.5 1
 
3.6%
114.4 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
101.8 1
3.6%
102.0 1
3.6%
103.1 1
3.6%
108.4 1
3.6%
109.0 1
3.6%
109.5 1
3.6%
110.0 1
3.6%
111.3 1
3.6%
111.7 1
3.6%
112.6 1
3.6%
ValueCountFrequency (%)
162.4 1
3.6%
160.3 1
3.6%
157.3 1
3.6%
156.6 1
3.6%
152.8 1
3.6%
151.0 1
3.6%
142.0 1
3.6%
141.1 1
3.6%
138.5 1
3.6%
134.0 1
3.6%

2022-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.86429
Minimum98.1
Maximum163.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:44.556933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.1
5-th percentile99.76
Q1108.35
median113.95
Q3135.625
95-th percentile151.105
Maximum163.3
Range65.2
Interquartile range (IQR)27.275

Descriptive statistics

Standard deviation18.259857
Coefficient of variation (CV)0.14983764
Kurtosis-0.66309987
Mean121.86429
Median Absolute Deviation (MAD)7.95
Skewness0.69741944
Sum3412.2
Variance333.42238
MonotonicityNot monotonic
2024-03-16T13:15:44.724463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
121.1 1
 
3.6%
130.8 1
 
3.6%
110.6 1
 
3.6%
99.2 1
 
3.6%
100.8 1
 
3.6%
109.7 1
 
3.6%
112.0 1
 
3.6%
106.5 1
 
3.6%
108.4 1
 
3.6%
111.8 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
98.1 1
3.6%
99.2 1
3.6%
100.8 1
3.6%
105.9 1
3.6%
106.1 1
3.6%
106.5 1
3.6%
108.2 1
3.6%
108.4 1
3.6%
109.3 1
3.6%
109.7 1
3.6%
ValueCountFrequency (%)
163.3 1
3.6%
151.7 1
3.6%
150.0 1
3.6%
147.8 1
3.6%
144.5 1
3.6%
142.6 1
3.6%
137.2 1
3.6%
135.1 1
3.6%
132.2 1
3.6%
130.8 1
3.6%

2022-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.60714
Minimum96.2
Maximum158.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:44.917919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.2
5-th percentile98.105
Q1105.575
median111.1
Q3131.85
95-th percentile145.65
Maximum158.1
Range61.9
Interquartile range (IQR)26.275

Descriptive statistics

Standard deviation16.985264
Coefficient of variation (CV)0.14320608
Kurtosis-0.58662063
Mean118.60714
Median Absolute Deviation (MAD)8.75
Skewness0.6976124
Sum3321
Variance288.49921
MonotonicityNot monotonic
2024-03-16T13:15:45.124942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
117.8 1
 
3.6%
126.1 1
 
3.6%
107.5 1
 
3.6%
97.3 1
 
3.6%
99.6 1
 
3.6%
107.3 1
 
3.6%
110.6 1
 
3.6%
104.4 1
 
3.6%
105.5 1
 
3.6%
109.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
96.2 1
3.6%
97.3 1
3.6%
99.6 1
3.6%
103.1 1
3.6%
104.0 1
3.6%
104.4 1
3.6%
105.5 1
3.6%
105.6 1
3.6%
106.9 1
3.6%
107.3 1
3.6%
ValueCountFrequency (%)
158.1 1
3.6%
147.4 1
3.6%
142.4 1
3.6%
142.3 1
3.6%
138.0 1
3.6%
137.7 1
3.6%
135.3 1
3.6%
130.7 1
3.6%
127.9 1
3.6%
126.1 1
3.6%

2023-01
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.08929
Minimum96
Maximum156.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:45.299144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile96.935
Q1105.225
median110.15
Q3130.75
95-th percentile148.2
Maximum156.1
Range60.1
Interquartile range (IQR)25.525

Descriptive statistics

Standard deviation17.66464
Coefficient of variation (CV)0.14958715
Kurtosis-0.73601813
Mean118.08929
Median Absolute Deviation (MAD)8.75
Skewness0.70250084
Sum3306.5
Variance312.03951
MonotonicityNot monotonic
2024-03-16T13:15:45.494072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
102.8 2
 
7.1%
116.9 1
 
3.6%
127.6 1
 
3.6%
107.8 1
 
3.6%
96.0 1
 
3.6%
98.3 1
 
3.6%
106.6 1
 
3.6%
108.1 1
 
3.6%
105.5 1
 
3.6%
109.4 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
96.0 1
3.6%
96.2 1
3.6%
98.3 1
3.6%
101.3 1
3.6%
102.8 2
7.1%
104.4 1
3.6%
105.5 1
3.6%
105.9 1
3.6%
106.6 1
3.6%
107.8 1
3.6%
ValueCountFrequency (%)
156.1 1
3.6%
150.3 1
3.6%
144.3 1
3.6%
144.0 1
3.6%
140.0 1
3.6%
139.0 1
3.6%
132.7 1
3.6%
130.1 1
3.6%
127.6 1
3.6%
126.2 1
3.6%

2023-02
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.09643
Minimum96.4
Maximum154.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:45.696131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.4
5-th percentile97.37
Q1105.375
median110.55
Q3132.425
95-th percentile150.38
Maximum154.3
Range57.9
Interquartile range (IQR)27.05

Descriptive statistics

Standard deviation18.200193
Coefficient of variation (CV)0.15281897
Kurtosis-0.93949805
Mean119.09643
Median Absolute Deviation (MAD)10.55
Skewness0.65035435
Sum3334.7
Variance331.24702
MonotonicityNot monotonic
2024-03-16T13:15:46.254396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
118.0 1
 
3.6%
125.9 1
 
3.6%
110.3 1
 
3.6%
96.6 1
 
3.6%
98.8 1
 
3.6%
106.9 1
 
3.6%
108.7 1
 
3.6%
103.2 1
 
3.6%
105.4 1
 
3.6%
109.5 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
96.4 1
3.6%
96.6 1
3.6%
98.8 1
3.6%
101.2 1
3.6%
103.2 1
3.6%
103.3 1
3.6%
105.3 1
3.6%
105.4 1
3.6%
106.2 1
3.6%
106.9 1
3.6%
ValueCountFrequency (%)
154.3 1
3.6%
152.2 1
3.6%
147.0 1
3.6%
146.5 1
3.6%
143.6 1
3.6%
143.0 1
3.6%
133.1 1
3.6%
132.2 1
3.6%
128.3 1
3.6%
125.9 1
3.6%

2023-03
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.11429
Minimum96.7
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:46.411493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.7
5-th percentile97.735
Q1106.175
median111.4
Q3134.475
95-th percentile152.095
Maximum154
Range57.3
Interquartile range (IQR)28.3

Descriptive statistics

Standard deviation18.835835
Coefficient of variation (CV)0.15681594
Kurtosis-1.0779449
Mean120.11429
Median Absolute Deviation (MAD)10.9
Skewness0.60458818
Sum3363.2
Variance354.78868
MonotonicityNot monotonic
2024-03-16T13:15:46.590137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
148.0 2
 
7.1%
119.3 1
 
3.6%
135.0 1
 
3.6%
107.4 1
 
3.6%
96.7 1
 
3.6%
99.1 1
 
3.6%
106.3 1
 
3.6%
108.7 1
 
3.6%
103.7 1
 
3.6%
106.6 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
96.7 1
3.6%
97.0 1
3.6%
99.1 1
3.6%
101.9 1
3.6%
103.5 1
3.6%
103.7 1
3.6%
105.8 1
3.6%
106.3 1
3.6%
106.6 1
3.6%
106.7 1
3.6%
ValueCountFrequency (%)
154.0 1
3.6%
153.6 1
3.6%
149.3 1
3.6%
148.0 2
7.1%
144.6 1
3.6%
135.0 1
3.6%
134.3 1
3.6%
130.4 1
3.6%
126.6 1
3.6%
125.6 1
3.6%

2023-04
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.04286
Minimum96.7
Maximum157.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:46.753393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.7
5-th percentile97.64
Q1106.775
median111.5
Q3135.75
95-th percentile154.165
Maximum157.2
Range60.5
Interquartile range (IQR)28.975

Descriptive statistics

Standard deviation19.679439
Coefficient of variation (CV)0.16258241
Kurtosis-1.0545886
Mean121.04286
Median Absolute Deviation (MAD)10.9
Skewness0.61765093
Sum3389.2
Variance387.28032
MonotonicityNot monotonic
2024-03-16T13:15:46.893687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
120.1 1
 
3.6%
126.8 1
 
3.6%
107.6 1
 
3.6%
96.7 1
 
3.6%
99.2 1
 
3.6%
107.8 1
 
3.6%
108.8 1
 
3.6%
104.3 1
 
3.6%
106.9 1
 
3.6%
110.3 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
96.7 1
3.6%
96.8 1
3.6%
99.2 1
3.6%
102.0 1
3.6%
103.8 1
3.6%
104.3 1
3.6%
106.4 1
3.6%
106.9 1
3.6%
107.0 1
3.6%
107.6 1
3.6%
ValueCountFrequency (%)
157.2 1
3.6%
155.6 1
3.6%
151.5 1
3.6%
151.3 1
3.6%
150.0 1
3.6%
145.8 1
3.6%
135.9 1
3.6%
135.7 1
3.6%
131.6 1
3.6%
128.7 1
3.6%

2023-05
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.96786
Minimum97
Maximum159.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:47.094584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile98.47
Q1106.675
median112.05
Q3137.125
95-th percentile155.59
Maximum159.3
Range62.3
Interquartile range (IQR)30.45

Descriptive statistics

Standard deviation20.405973
Coefficient of variation (CV)0.16730616
Kurtosis-1.0865205
Mean121.96786
Median Absolute Deviation (MAD)11.1
Skewness0.6202257
Sum3415.1
Variance416.40374
MonotonicityNot monotonic
2024-03-16T13:15:47.266340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
120.9 1
 
3.6%
127.5 1
 
3.6%
109.4 1
 
3.6%
97.0 1
 
3.6%
99.9 1
 
3.6%
106.7 1
 
3.6%
108.9 1
 
3.6%
103.8 1
 
3.6%
107.0 1
 
3.6%
111.2 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
97.0 1
3.6%
97.7 1
3.6%
99.9 1
3.6%
102.0 1
3.6%
103.8 1
3.6%
103.9 1
3.6%
106.6 1
3.6%
106.7 1
3.6%
107.0 1
3.6%
107.3 1
3.6%
ValueCountFrequency (%)
159.3 1
3.6%
156.5 1
3.6%
153.9 1
3.6%
153.5 1
3.6%
152.2 1
3.6%
149.1 1
3.6%
137.2 1
3.6%
137.1 1
3.6%
132.9 1
3.6%
130.2 1
3.6%

2023-06
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.82857
Minimum97.2
Maximum159.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:47.443022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.2
5-th percentile98.86
Q1106.8
median112.5
Q3138.475
95-th percentile158.56
Maximum159.9
Range62.7
Interquartile range (IQR)31.675

Descriptive statistics

Standard deviation21.294111
Coefficient of variation (CV)0.17336447
Kurtosis-1.1020271
Mean122.82857
Median Absolute Deviation (MAD)11.4
Skewness0.63531407
Sum3439.2
Variance453.43915
MonotonicityNot monotonic
2024-03-16T13:15:47.602116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
106.8 2
 
7.1%
121.8 1
 
3.6%
128.0 1
 
3.6%
108.1 1
 
3.6%
97.2 1
 
3.6%
99.9 1
 
3.6%
109.4 1
 
3.6%
103.8 1
 
3.6%
107.4 1
 
3.6%
111.5 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
97.2 1
3.6%
98.3 1
3.6%
99.9 1
3.6%
102.3 1
3.6%
103.8 1
3.6%
104.1 1
3.6%
106.8 2
7.1%
107.4 1
3.6%
107.6 1
3.6%
108.1 1
3.6%
ValueCountFrequency (%)
159.9 1
3.6%
159.4 1
3.6%
157.0 1
3.6%
156.3 1
3.6%
154.5 1
3.6%
152.2 1
3.6%
138.7 1
3.6%
138.4 1
3.6%
134.1 1
3.6%
131.4 1
3.6%

2023-07
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.82143
Minimum97.6
Maximum165.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:47.844468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.6
5-th percentile98.96
Q1106.975
median113
Q3140.2
95-th percentile160.31
Maximum165.2
Range67.6
Interquartile range (IQR)33.225

Descriptive statistics

Standard deviation21.968755
Coefficient of variation (CV)0.17742288
Kurtosis-1.031914
Mean123.82143
Median Absolute Deviation (MAD)11.4
Skewness0.65935324
Sum3467
Variance482.62619
MonotonicityNot monotonic
2024-03-16T13:15:48.104176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
104.4 2
 
7.1%
140.2 2
 
7.1%
122.6 1
 
3.6%
127.8 1
 
3.6%
112.0 1
 
3.6%
97.6 1
 
3.6%
100.0 1
 
3.6%
106.9 1
 
3.6%
109.4 1
 
3.6%
107.8 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
97.6 1
3.6%
98.4 1
3.6%
100.0 1
3.6%
103.2 1
3.6%
104.4 2
7.1%
106.9 1
3.6%
107.0 1
3.6%
107.8 1
3.6%
108.0 1
3.6%
109.4 1
3.6%
ValueCountFrequency (%)
165.2 1
3.6%
160.8 1
3.6%
159.4 1
3.6%
157.9 1
3.6%
155.7 1
3.6%
152.8 1
3.6%
140.2 2
7.1%
135.4 1
3.6%
132.0 1
3.6%
127.8 1
3.6%

2023-08
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.625
Minimum97.7
Maximum162.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:48.310147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.7
5-th percentile99.825
Q1107.925
median113.7
Q3141.6
95-th percentile162.355
Maximum162.8
Range65.1
Interquartile range (IQR)33.675

Descriptive statistics

Standard deviation22.402011
Coefficient of variation (CV)0.17975535
Kurtosis-1.1221125
Mean124.625
Median Absolute Deviation (MAD)11.55
Skewness0.63593494
Sum3489.5
Variance501.85009
MonotonicityNot monotonic
2024-03-16T13:15:48.502637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
141.6 2
 
7.1%
123.6 1
 
3.6%
109.1 1
 
3.6%
97.7 1
 
3.6%
100.8 1
 
3.6%
108.1 1
 
3.6%
109.7 1
 
3.6%
104.4 1
 
3.6%
108.6 1
 
3.6%
111.8 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
97.7 1
3.6%
99.3 1
3.6%
100.8 1
3.6%
103.5 1
3.6%
104.4 1
3.6%
104.8 1
3.6%
107.4 1
3.6%
108.1 1
3.6%
108.5 1
3.6%
108.6 1
3.6%
ValueCountFrequency (%)
162.8 1
3.6%
162.6 1
3.6%
161.9 1
3.6%
159.8 1
3.6%
157.7 1
3.6%
155.5 1
3.6%
141.6 2
7.1%
136.8 1
3.6%
134.0 1
3.6%
128.8 1
3.6%

2023-09
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.27857
Minimum97.6
Maximum164.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:48.704076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.6
5-th percentile100.75
Q1107.775
median114.05
Q3142.675
95-th percentile163.09
Maximum164.3
Range66.7
Interquartile range (IQR)34.9

Descriptive statistics

Standard deviation22.622659
Coefficient of variation (CV)0.18057884
Kurtosis-1.1064244
Mean125.27857
Median Absolute Deviation (MAD)11.45
Skewness0.64742913
Sum3507.8
Variance511.78471
MonotonicityNot monotonic
2024-03-16T13:15:48.894633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
124.3 1
 
3.6%
128.5 1
 
3.6%
111.8 1
 
3.6%
97.6 1
 
3.6%
101.4 1
 
3.6%
107.9 1
 
3.6%
109.1 1
 
3.6%
105.0 1
 
3.6%
109.9 1
 
3.6%
112.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
97.6 1
3.6%
100.4 1
3.6%
101.4 1
3.6%
104.1 1
3.6%
105.0 1
3.6%
105.1 1
3.6%
107.4 1
3.6%
107.9 1
3.6%
108.8 1
3.6%
109.1 1
3.6%
ValueCountFrequency (%)
164.3 1
3.6%
164.0 1
3.6%
161.4 1
3.6%
161.1 1
3.6%
159.3 1
3.6%
156.9 1
3.6%
142.9 1
3.6%
142.6 1
3.6%
138.1 1
3.6%
132.6 1
3.6%

2023-10
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.16071
Minimum97.5
Maximum166.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:49.084373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.5
5-th percentile100.545
Q1107.175
median113.9
Q3142.5
95-th percentile163.225
Maximum166.6
Range69.1
Interquartile range (IQR)35.325

Descriptive statistics

Standard deviation22.967857
Coefficient of variation (CV)0.18350692
Kurtosis-1.0814399
Mean125.16071
Median Absolute Deviation (MAD)11.55
Skewness0.66362572
Sum3504.5
Variance527.52247
MonotonicityNot monotonic
2024-03-16T13:15:49.308558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
105.0 2
 
7.1%
124.0 1
 
3.6%
128.2 1
 
3.6%
108.4 1
 
3.6%
97.5 1
 
3.6%
101.0 1
 
3.6%
107.2 1
 
3.6%
109.9 1
 
3.6%
109.3 1
 
3.6%
113.2 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
97.5 1
3.6%
100.3 1
3.6%
101.0 1
3.6%
103.7 1
3.6%
105.0 2
7.1%
107.1 1
3.6%
107.2 1
3.6%
108.4 1
3.6%
108.7 1
3.6%
109.3 1
3.6%
ValueCountFrequency (%)
166.6 1
3.6%
163.4 1
3.6%
162.9 1
3.6%
161.1 1
3.6%
159.3 1
3.6%
156.7 1
3.6%
142.8 1
3.6%
142.4 1
3.6%
137.6 1
3.6%
133.8 1
3.6%

2023-11
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.46071
Minimum97.4
Maximum167.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:49.548367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.4
5-th percentile100.02
Q1107.1
median113.85
Q3141.3
95-th percentile160.17
Maximum167.4
Range70
Interquartile range (IQR)34.2

Descriptive statistics

Standard deviation22.16267
Coefficient of variation (CV)0.17806961
Kurtosis-1.0324971
Mean124.46071
Median Absolute Deviation (MAD)11.85
Skewness0.65909412
Sum3484.9
Variance491.18396
MonotonicityNot monotonic
2024-03-16T13:15:49.817740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
123.0 1
 
3.6%
127.9 1
 
3.6%
113.6 1
 
3.6%
97.4 1
 
3.6%
100.8 1
 
3.6%
107.3 1
 
3.6%
109.4 1
 
3.6%
104.5 1
 
3.6%
110.0 1
 
3.6%
111.9 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
97.4 1
3.6%
99.6 1
3.6%
100.8 1
3.6%
103.2 1
3.6%
104.5 1
3.6%
104.9 1
3.6%
106.5 1
3.6%
107.3 1
3.6%
108.4 1
3.6%
109.4 1
3.6%
ValueCountFrequency (%)
167.4 1
3.6%
160.8 1
3.6%
159.0 1
3.6%
158.3 1
3.6%
156.5 1
3.6%
154.8 1
3.6%
143.4 1
3.6%
140.6 1
3.6%
136.0 1
3.6%
131.9 1
3.6%

2023-12
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.21429
Minimum96.5
Maximum161.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-03-16T13:15:50.090816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.5
5-th percentile99.255
Q1106.975
median112.5
Q3140.1
95-th percentile158.805
Maximum161.3
Range64.8
Interquartile range (IQR)33.125

Descriptive statistics

Standard deviation21.594868
Coefficient of variation (CV)0.17526269
Kurtosis-1.1081854
Mean123.21429
Median Absolute Deviation (MAD)11.15
Skewness0.64024803
Sum3450
Variance466.33831
MonotonicityNot monotonic
2024-03-16T13:15:50.394015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
122.1 1
 
3.6%
126.6 1
 
3.6%
108.6 1
 
3.6%
96.5 1
 
3.6%
100.1 1
 
3.6%
108.1 1
 
3.6%
108.9 1
 
3.6%
104.5 1
 
3.6%
109.6 1
 
3.6%
112.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
96.5 1
3.6%
98.8 1
3.6%
100.1 1
3.6%
102.6 1
3.6%
104.4 1
3.6%
104.5 1
3.6%
105.1 1
3.6%
107.6 1
3.6%
108.1 1
3.6%
108.6 1
3.6%
ValueCountFrequency (%)
161.3 1
3.6%
159.4 1
3.6%
157.7 1
3.6%
156.7 1
3.6%
155.8 1
3.6%
153.2 1
3.6%
141.9 1
3.6%
139.5 1
3.6%
135.1 1
3.6%
129.2 1
3.6%

Sample

지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-12
0전국60.060.561.261.762.062.562.663.564.667.269.970.972.071.972.272.171.672.172.673.273.774.074.074.174.975.576.777.878.779.379.479.378.676.774.071.171.472.773.374.475.576.377.178.279.078.978.477.978.678.778.677.877.377.076.676.577.277.678.379.280.481.882.883.383.583.884.284.985.585.485.084.385.185.285.084.784.484.183.483.483.383.382.982.183.083.183.583.884.083.784.384.685.285.785.785.786.386.887.487.487.487.487.688.288.889.489.789.990.591.192.092.793.393.894.795.496.096.496.495.895.795.895.795.795.796.096.697.298.198.898.998.698.398.598.798.698.999.4100.1100.2100.3100.310099.699.8100.1100.2100.299.999.799.6100.8102.2102.4101.6100.8100.399.999.299.098.899.299.699.9100.3100.8101.7102.7103.4104.8105.6105.5106.3108.4110.8112.2113.1114.6117.2120.1123.1125.4127.0128.7130.9133.9137.1140.4143.1144.5143.6142.0141.2140.9141.4142.0140.7139.8136.2133.3130.4126.0121.1117.8116.9118.0119.3120.1120.9121.8122.6123.6124.3124.0123.0122.1
1수도권62.863.764.865.666.266.566.867.869.473.377.279.180.680.581.181.080.581.482.483.484.084.684.785.186.287.189.090.992.393.393.493.192.188.684.279.780.582.783.685.587.388.789.891.592.391.890.789.790.690.589.888.186.785.984.984.284.884.985.586.287.288.288.287.787.386.886.686.886.886.485.584.884.884.584.083.282.882.281.280.780.480.279.879.079.279.379.780.080.380.079.980.481.081.581.481.381.882.583.082.982.882.782.983.484.184.684.884.985.486.086.987.788.488.989.990.691.391.791.991.491.491.591.691.892.292.893.794.795.696.596.696.295.995.996.396.497.098.199.399.799.8100.210099.9100.7101.5102.1102.4102.4102.5103.1105.5108.3108.8107.9107.0106.3105.6104.9104.8105.0106.0107.0107.7108.3109.3110.4111.6112.7114.8116.5116.4117.5120.6124.8127.0128.3129.9132.6135.7140.3143.7146.3148.8152.4157.0162.1167.1170.9172.6171.0168.4166.8166.2167.2167.9165.8164.2158.2153.8149.1142.0135.1130.7130.1132.2134.3135.7137.2138.7140.2141.6142.9142.4140.6139.5
2지방57.657.657.757.657.658.458.258.859.259.559.959.660.760.861.061.160.760.760.860.961.261.361.361.261.762.062.562.763.063.363.663.964.064.063.362.462.162.662.863.063.463.664.264.865.666.166.366.567.167.568.168.468.768.969.369.770.471.372.073.174.676.378.279.580.481.282.183.284.384.684.483.785.285.685.685.685.685.485.085.285.485.685.184.285.785.786.186.486.586.387.387.688.288.788.788.889.489.990.590.690.690.891.091.692.292.893.293.694.394.995.896.597.097.598.499.099.6100.199.999.299.099.298.998.898.598.598.899.3100.1100.6100.8100.5100.2100.6100.6100.4100.3100.5100.7100.6100.6100.410099.399.099.098.698.497.797.396.796.897.096.996.395.695.395.094.494.093.593.393.393.393.593.594.295.295.596.196.296.296.797.998.799.3100.0101.5104.1106.7108.4109.6110.5111.5112.5114.0115.7117.5119.3120.5120.3119.6119.6119.5119.7120.3119.6119.3117.7116.2114.8112.6109.3106.9105.9106.2106.7107.0107.3107.6108.0108.5108.8108.7108.4107.6
36대광역시55.455.455.455.555.656.055.956.456.957.858.959.460.760.861.361.461.361.762.162.663.263.763.863.864.564.765.766.667.368.268.668.968.967.866.264.664.264.664.765.365.766.166.767.468.268.568.368.168.868.969.169.068.868.868.868.969.670.070.771.672.774.375.876.877.377.978.479.179.979.979.578.979.780.080.079.779.779.778.978.979.179.178.878.079.179.179.579.879.979.980.681.081.682.282.482.583.183.584.284.484.384.384.785.285.986.687.187.688.489.390.491.292.293.094.194.995.896.496.395.795.795.695.695.495.495.596.196.897.998.899.199.198.899.299.499.599.599.9100.4100.6100.5100.410099.499.499.499.399.498.998.598.198.799.199.598.998.598.498.297.797.697.197.097.297.497.898.199.4100.5101.1102.0102.6102.7103.4104.8105.7106.4107.3109.0112.4115.7118.0119.6120.9122.5124.2126.8129.6132.1134.2135.6135.0133.3132.9132.6132.5132.8131.5130.5127.5124.8122.5118.9114.5111.6110.6110.8111.9112.2112.8113.2113.8114.5114.9114.6114.1113.0
45대광역시54.354.154.154.053.854.254.154.554.955.455.855.656.656.656.956.856.156.256.256.356.556.556.356.356.656.757.157.457.457.457.557.657.557.356.756.155.656.056.256.656.957.357.858.559.459.960.260.461.061.461.962.262.462.662.963.364.164.865.766.768.270.172.073.474.375.276.076.977.978.177.777.278.278.778.778.578.578.678.078.078.478.578.277.578.778.779.279.579.679.780.580.881.582.182.482.483.083.484.184.384.284.384.785.285.986.687.387.888.789.690.791.692.593.494.595.396.396.996.896.196.095.995.895.595.595.696.196.797.998.899.299.298.999.399.599.699.6100.0100.5100.7100.5100.410099.399.399.399.299.598.998.498.198.699.199.599.098.598.398.197.697.597.197.097.297.497.898.199.6100.9101.4102.3102.4102.3102.9104.2105.2106.0107.0109.2113.0116.5118.7120.1120.9122.1123.2125.1127.1128.6130.1131.4130.6129.1129.1128.5128.4128.8127.7127.1124.6122.2120.2117.6113.4110.5109.7109.7110.5110.8111.3111.8112.2112.9113.2113.0112.5111.4
58개도60.860.861.261.261.362.462.262.963.263.463.863.564.764.864.965.265.165.165.265.365.866.066.166.066.767.167.767.968.469.069.570.070.270.469.768.568.468.969.269.369.769.870.370.971.572.072.272.373.173.574.274.574.875.075.676.076.677.678.279.280.882.384.285.486.387.188.189.290.590.990.890.091.992.392.392.592.392.091.892.292.292.491.990.692.492.492.893.193.292.793.994.294.795.194.994.995.696.296.796.896.897.197.197.898.498.999.099.199.7100.1100.7101.2101.3101.5102.1102.5102.8103.1103.0102.1101.9102.4102.0102.0101.4101.4101.5101.8102.2102.3102.3101.8101.5101.7101.6101.2101.0100.9100.9100.5100.7100.410099.398.798.798.097.496.496.195.395.094.894.393.692.692.391.991.290.590.089.889.489.289.289.088.989.589.690.089.990.090.691.692.292.392.793.594.796.597.898.899.8100.7101.7103.0104.5106.6108.7110.0110.4110.6110.7111.0111.6112.4112.1112.3111.5110.9110.1108.4105.9104.0102.8103.3103.5103.8103.9104.1104.4104.8105.1105.0104.9104.4
6서울58.559.460.961.661.961.862.263.064.267.270.172.373.273.073.673.372.573.774.374.875.275.675.676.077.178.480.582.383.483.682.882.680.777.672.768.371.174.175.077.278.780.482.083.984.784.283.082.783.883.983.181.380.079.378.277.978.378.479.280.181.282.081.781.280.680.080.080.280.079.478.677.778.077.777.176.275.875.274.273.673.273.072.872.172.472.773.473.773.973.473.373.774.374.774.574.375.075.676.076.075.775.675.776.477.177.577.577.477.978.579.480.280.981.482.583.283.984.484.884.484.284.484.584.885.586.687.989.290.491.691.891.291.091.091.792.093.495.397.798.098.399.4100101.0103.0104.8106.1107.4107.9108.6110.3115.0121.5122.4120.6119.1117.9117.2116.1116.1117.3119.7122.2123.9125.3127.2129.5131.7132.8134.7135.7134.6135.3140.2147.3152.1154.2155.4158.3161.6166.7169.1169.7171.0174.1178.1182.1185.7188.5189.1185.7182.9182.1180.2182.1183.8181.0181.1173.7168.5164.4156.6147.8142.4144.3147.0149.3151.5153.5156.3157.9159.8161.4161.1158.3156.7
7서울 도심권58.458.460.259.760.961.563.564.365.968.470.670.871.870.371.972.273.473.274.477.177.079.278.378.478.478.880.582.183.383.883.284.679.576.178.673.072.974.976.077.779.581.282.584.685.985.587.284.685.687.085.483.582.781.381.779.881.480.280.180.781.983.382.483.081.980.881.881.581.280.280.480.379.579.879.279.078.777.876.576.376.275.575.174.775.973.775.875.676.474.975.376.175.375.175.774.975.676.076.576.276.975.675.976.676.977.177.178.478.378.679.780.581.281.682.683.583.584.685.084.584.484.585.485.285.786.386.988.689.790.390.790.291.190.191.491.692.295.297.496.798.698.9100100.5103.2106.6109.7110.3111.6113.9116.5120.4122.9124.0122.3121.6122.2120.2120.3118.6121.4123.3126.0126.5128.6130.7132.5135.1134.7136.0136.0134.1133.8138.7143.2145.9148.2149.0151.0154.1156.8158.2157.4161.0163.0167.9169.2173.7175.3177.4179.8175.5176.2179.4174.9175.1174.7180.1172.8170.3161.4160.3163.3158.1156.1154.3153.6157.2159.3159.9165.2162.6161.1166.6167.4161.3
8서울 동북권54.554.955.155.355.555.755.956.457.359.463.267.069.069.470.270.470.070.871.872.773.374.174.675.477.279.583.787.889.790.090.489.587.984.580.776.577.379.379.881.382.884.986.688.289.288.486.986.887.387.286.384.883.182.080.780.480.881.081.782.583.784.684.584.183.482.983.183.283.182.882.281.181.681.080.279.478.978.077.076.676.476.275.975.075.575.676.176.276.476.076.076.377.177.777.477.377.978.678.778.878.378.378.579.179.780.180.280.280.781.382.082.883.584.085.085.986.587.187.486.987.187.287.387.487.788.489.590.691.792.793.192.892.292.292.692.894.095.698.198.798.799.6100100.3101.7103.5104.8106.1106.4106.8108.3112.6120.4122.8121.0120.0119.4118.9117.8117.6118.0120.0122.0123.6125.0126.6128.6130.9133.0135.9138.1137.5138.6143.4152.9159.5161.9163.7166.9170.5176.1179.8181.0182.5185.9190.0194.6197.7201.0201.3197.4193.6192.0187.4192.4195.2189.6191.3180.8174.8171.0162.4151.7147.4150.3152.2154.0155.6156.5159.4160.8162.8164.0163.4159.0157.7
9서울 서북권56.056.156.757.257.958.659.059.460.963.465.466.667.868.169.169.268.570.271.271.772.973.574.475.076.477.779.782.083.986.084.384.582.581.174.874.574.375.776.378.179.580.181.583.083.884.282.782.683.483.583.282.081.181.180.179.979.879.780.380.781.482.582.282.681.980.781.881.882.882.080.980.380.179.780.379.279.478.377.276.477.576.276.475.875.576.076.576.377.176.976.877.477.577.977.477.678.178.979.379.079.278.879.279.980.580.580.580.881.081.482.382.883.584.084.585.285.686.186.686.686.686.787.587.588.689.190.691.792.994.094.693.493.794.094.694.795.797.198.699.399.1100.1100100.5102.1104.3105.6107.9109.4109.7111.4116.6122.5122.8120.5120.3117.1116.8116.1117.3118.5119.9122.8124.6125.5126.7128.8131.4132.0133.6133.8134.0135.0139.2144.4148.3151.0153.5156.8159.4163.7166.1165.2167.8167.9173.3176.9179.8182.3180.6179.0175.2173.8173.5173.0175.5176.3172.1164.8161.5157.5151.0144.5137.7139.0143.0144.6145.8149.1152.2152.8155.5156.9156.7154.8153.2
지역2006-012006-022006-032006-042006-052006-062006-072006-082006-092006-102006-112006-122007-012007-022007-032007-042007-052007-062007-072007-082007-092007-102007-112007-122008-012008-022008-032008-042008-052008-062008-072008-082008-092008-102008-112008-122009-012009-022009-032009-042009-052009-062009-072009-082009-092009-102009-112009-122010-012010-022010-032010-042010-052010-062010-072010-082010-092010-102010-112010-122011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-12
18세종75.676.981.977.377.981.376.372.672.272.973.571.574.374.275.274.372.873.573.673.875.875.472.874.873.475.874.875.774.776.473.175.075.573.471.469.572.870.970.873.272.771.168.770.870.370.567.770.073.071.872.471.871.872.273.373.475.674.675.175.777.381.080.780.880.480.884.583.383.885.585.784.585.186.085.686.887.287.588.689.389.490.292.991.693.794.693.894.295.194.293.594.396.595.595.098.6100.399.999.397.899.797.095.795.695.394.695.993.892.192.793.192.192.593.892.491.791.892.391.791.188.790.991.492.292.993.493.794.094.495.595.995.594.295.896.295.496.297.8100.7101.099.2100.410099.199.3100.6101.0102.0101.0101.1100.4100.1101.599.6100.4101.8101.099.399.798.598.098.098.597.697.797.797.799.6101.9108.7111.3110.3113.5118.8130.3145.7150.8150.1159.1165.0167.8171.4171.4167.9171.2170.9167.4166.5167.9166.8160.0156.6151.6152.1149.4149.0148.0144.9137.3130.6131.6123.9121.6120.6118.8122.6125.6128.7130.2131.4132.0134.0132.6133.8131.9129.2
19경기66.367.268.068.969.870.370.771.973.978.783.785.486.986.987.387.286.487.088.289.389.990.390.290.691.592.393.895.496.897.797.897.096.192.388.283.583.285.486.488.390.691.992.894.595.494.793.792.393.092.992.190.389.088.187.186.387.087.387.888.589.891.091.290.890.690.390.190.590.690.389.488.888.888.588.087.286.786.185.284.784.584.483.883.083.183.283.583.884.183.983.884.285.085.585.485.485.986.687.186.986.986.886.987.588.288.789.089.289.690.391.192.092.693.294.194.795.395.795.895.395.295.395.495.495.796.196.897.598.399.099.198.798.498.598.698.698.899.5100.1100.6100.6100.710099.399.599.8100.199.999.899.699.7101.1102.2102.6102.1101.5100.9100.299.899.699.499.699.9100.1100.3100.8101.4102.2103.4106.0107.9108.3109.6112.0115.2116.7117.7119.9123.0126.3131.2135.5139.1142.1145.9150.8156.2161.9166.1168.4167.2164.8162.8162.6163.5163.8162.1159.9154.3150.3145.0138.5132.2127.9126.2128.3130.4131.6132.9134.1135.4136.8138.1137.6136.0135.1
20강원58.258.557.658.259.159.858.559.159.359.458.557.658.859.258.558.758.958.959.159.259.559.258.258.558.859.258.958.859.560.961.862.561.961.261.359.360.260.160.960.661.261.161.461.862.262.862.863.363.863.864.364.264.764.364.163.864.465.265.365.766.567.668.869.470.271.373.175.676.576.976.375.877.878.077.978.077.577.977.377.878.077.778.176.878.278.578.378.378.778.079.078.879.679.479.680.079.980.780.780.580.380.581.381.081.181.281.380.582.282.383.084.184.484.485.686.387.387.488.188.188.990.189.790.990.691.893.094.295.496.296.496.796.797.798.197.998.899.199.8100.0100.4100.310099.299.599.698.998.297.797.296.595.995.995.993.692.491.591.090.689.188.988.887.587.987.086.786.586.586.587.287.487.987.688.089.389.190.191.191.393.295.796.898.299.4100.1101.6103.8105.5108.2110.6111.2112.1112.5113.6115.4116.1116.6116.7116.9116.6116.2114.4111.8109.9109.4109.5110.9110.3111.2111.5111.0111.8112.9113.2111.9112.0
21충북64.165.265.766.566.166.766.566.766.766.966.566.567.467.167.167.566.965.966.366.466.866.666.966.967.568.068.468.368.969.569.469.069.969.569.267.968.368.368.368.068.668.769.269.970.671.271.071.271.772.072.773.173.373.473.874.574.975.576.577.178.880.081.983.283.985.486.588.289.690.891.090.793.193.494.194.794.594.094.995.295.596.195.494.396.597.197.297.197.496.797.898.099.199.299.4100.3101.0101.7102.6102.8103.8104.6104.9105.6106.6107.6107.1107.5108.2108.2108.7108.5107.4107.1107.6107.4107.5107.4106.9105.5105.8105.9104.9104.2104.5103.7103.2103.1103.2103.1102.5102.1102.2102.0101.6100.9101.0101.2100.6100.5100.299.910099.197.798.698.096.896.195.394.093.893.492.691.489.689.088.987.887.386.485.885.685.284.984.584.384.985.385.685.986.188.290.890.891.191.292.292.794.295.797.799.3100.6102.6104.5106.0109.1111.4113.4113.9114.4114.1115.0114.6115.4114.2115.1114.2113.2112.4109.5108.4105.5105.5105.4106.6106.9107.0107.4107.8108.6109.9109.3110.0109.6
22충남74.074.575.274.572.574.775.074.675.074.474.273.374.975.075.275.775.175.575.976.076.676.577.076.877.077.678.078.379.080.281.382.583.982.881.480.780.980.481.281.080.981.081.082.082.182.682.082.083.183.483.283.283.283.183.283.283.584.184.584.785.986.987.588.089.289.490.391.492.293.293.593.294.395.295.796.296.596.797.097.898.098.598.697.899.7100.0100.4100.4100.6100.5101.2102.0102.3102.7102.7103.0104.1104.4105.4105.5105.5106.1106.1107.1107.3107.8107.7108.1107.7108.2108.4108.2108.1108.1108.7108.7108.9109.1108.7108.0107.4107.5107.0106.6105.5105.3104.8105.0104.9105.0105.0104.2103.3103.1102.9102.1102.0101.7101.4101.1101.1100.910099.499.299.197.897.396.495.994.994.994.293.993.592.892.792.592.191.391.190.790.890.690.390.790.291.691.691.691.692.092.393.294.094.394.795.396.598.099.1100.0101.4102.0103.2104.5106.0108.8111.1113.3113.4113.5113.8113.3113.5114.2113.6113.7112.6111.8110.8109.0106.5104.4102.8103.2103.7104.3103.8103.8104.4104.4105.0105.0104.5104.5
23전북56.156.657.157.357.758.858.759.459.860.661.060.861.762.262.062.262.362.762.862.663.163.363.663.964.564.965.966.867.468.569.870.169.372.269.669.168.569.269.770.370.770.571.972.672.973.974.474.775.977.078.279.179.479.880.881.281.483.283.584.786.687.889.891.592.794.294.996.398.599.599.297.8101.1101.7100.6100.399.999.598.298.697.097.195.293.295.695.595.495.495.194.395.795.596.196.195.695.095.495.895.495.495.294.894.195.495.495.895.495.395.896.095.996.496.196.797.097.597.897.897.096.896.796.997.097.196.797.297.297.698.398.999.198.899.199.299.199.199.399.199.799.8100.3100.310099.999.499.498.498.797.797.597.296.997.496.796.195.495.495.093.993.692.792.692.191.792.191.891.491.691.893.193.192.293.193.894.294.294.895.296.698.799.8100.7102.4103.3104.7106.8108.9111.5113.9115.1115.9116.1116.1116.5117.6119.5119.7119.4119.1119.3116.7116.1112.0110.6108.1108.7108.7108.8108.9109.4109.4109.7109.1109.9109.4108.9
24전남49.349.049.549.350.951.952.052.952.953.254.154.055.755.756.056.856.157.257.757.558.058.959.760.261.562.763.564.265.965.765.566.467.166.766.164.965.066.566.566.966.967.868.569.269.970.471.270.971.371.872.873.674.374.275.176.076.576.877.479.180.581.082.883.385.685.086.087.188.188.388.388.090.389.790.290.991.289.490.190.690.790.690.088.390.588.889.589.188.987.688.888.988.689.088.187.187.687.988.287.286.286.585.586.386.686.185.986.486.386.787.487.987.987.988.288.889.389.890.190.589.790.890.390.990.791.091.192.293.193.294.493.492.494.495.596.597.197.198.098.199.199.810099.4100.2100.3100.6100.8101.1101.1100.1101.2101.9101.6102.0101.2102.1102.3102.7101.9102.4102.2102.2101.7102.7102.5102.4102.1103.0103.5103.7103.6104.6105.0106.4106.6107.1107.8108.4108.2108.7109.1109.8110.0110.2111.1111.0112.2114.1114.5116.0115.8115.9114.8115.8115.6114.8115.2115.3113.7113.5111.7109.7107.3106.6106.9106.3107.8106.7106.8106.9108.1107.9107.2107.3108.1
25경북66.065.465.665.665.667.867.969.170.070.171.170.872.873.273.974.374.073.573.273.373.873.772.971.973.273.674.173.973.573.673.974.874.373.873.871.571.372.172.372.272.772.673.273.074.374.474.374.674.975.275.274.574.274.474.374.674.975.875.775.876.377.478.279.079.580.081.281.783.083.483.783.884.885.986.587.287.588.388.689.389.990.791.090.292.593.094.095.095.795.997.698.399.2100.6100.5100.6101.8102.7103.6104.1104.2104.6104.5105.6107.0107.8107.8108.5109.4110.4111.2112.3112.5113.0113.9114.4114.1113.8113.4110.5109.7109.8108.8108.6108.0107.1106.7106.4106.4105.5105.4104.7103.8104.0103.2102.6101.7101.8101.4100.7101.2100.410099.298.497.797.496.095.094.894.093.292.992.091.690.490.189.588.088.087.487.286.986.987.086.986.586.986.786.485.686.486.988.188.588.888.989.791.594.495.897.297.799.099.6100.4101.9103.8105.0105.2105.4105.7105.3106.2105.8106.5106.4107.4106.4105.5105.1103.1100.899.698.398.899.199.299.999.9100.0100.8101.4101.0100.8100.1
26경남61.060.561.260.761.061.060.861.962.162.263.263.364.063.764.064.164.264.364.264.665.265.866.166.066.466.767.367.467.968.368.969.369.569.769.568.468.168.668.969.069.669.770.270.871.472.072.272.273.273.574.474.975.676.477.377.879.480.782.084.086.689.693.295.295.996.697.898.699.799.499.297.399.299.399.198.898.497.496.997.296.996.996.295.296.296.297.197.797.597.398.498.999.299.599.399.299.9100.6101.5101.8101.7102.0102.5102.9103.5104.2105.0104.8105.3105.8106.4107.1107.7107.9108.5108.8109.2109.5109.5108.6108.2108.7108.5108.0106.9106.8107.1107.4107.7107.6107.5106.8106.3106.1105.8105.2104.1103.5103.0102.3101.6100.910099.097.797.496.295.794.093.392.791.791.290.890.189.088.287.586.986.085.584.984.784.484.383.984.485.585.986.186.285.985.986.987.587.487.688.590.793.094.094.795.295.796.997.699.1101.0102.9104.1104.3103.8104.2104.8105.2105.7105.5105.3104.3103.7103.1101.899.297.396.096.696.796.797.097.297.697.797.697.597.496.5
27제주36.936.034.534.535.136.236.737.137.237.239.237.137.536.437.637.637.937.438.037.938.439.238.938.939.238.939.939.539.940.839.539.540.039.840.641.140.741.140.540.940.240.942.442.843.243.344.344.145.145.545.646.245.746.947.648.748.549.450.049.450.349.851.352.950.653.754.654.355.055.255.755.257.056.557.257.457.757.255.956.359.458.858.956.657.556.855.156.157.254.856.557.457.857.858.458.259.659.459.459.760.160.960.861.763.063.265.367.068.468.170.673.175.075.077.180.080.486.287.489.391.193.793.496.195.897.498.698.999.5102.5100.6100.6102.2102.4100.099.499.0100.8100.497.7101.499.710099.697.899.099.697.596.198.996.598.498.796.496.596.395.295.894.294.791.893.892.492.791.192.592.693.091.092.889.091.891.591.892.993.091.793.292.895.795.597.199.8100.2102.1103.1106.9109.3113.6111.4110.8111.0112.1111.2114.0117.3116.0115.7111.5111.5114.8111.3110.6107.5107.8110.3107.4107.6109.4108.1112.0109.1111.8108.4113.6108.6