Overview

Dataset statistics

Number of variables107
Number of observations43
Missing cells1083
Missing cells (%)23.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.5 KiB
Average record size in memory964.1 B

Variable types

Categorical2
Text1
Numeric104

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 보조지수 중 고속철도 역세권 지가지수 데이터입니다. - 기준시점(2023.06.=100) - 공표시기 : 익월 25일경
URLhttps://www.data.go.kr/data/15047782/fileData.do

Alerts

2023-06 has constant value ""Constant
2014-11 has 15 (34.9%) missing valuesMissing
2014-12 has 15 (34.9%) missing valuesMissing
2015-01 has 15 (34.9%) missing valuesMissing
2015-02 has 15 (34.9%) missing valuesMissing
2015-03 has 15 (34.9%) missing valuesMissing
2015-04 has 15 (34.9%) missing valuesMissing
2015-05 has 15 (34.9%) missing valuesMissing
2015-06 has 15 (34.9%) missing valuesMissing
2015-07 has 15 (34.9%) missing valuesMissing
2015-08 has 15 (34.9%) missing valuesMissing
2015-09 has 15 (34.9%) missing valuesMissing
2015-10 has 15 (34.9%) missing valuesMissing
2015-11 has 15 (34.9%) missing valuesMissing
2015-12 has 15 (34.9%) missing valuesMissing
2016-01 has 15 (34.9%) missing valuesMissing
2016-02 has 15 (34.9%) missing valuesMissing
2016-03 has 15 (34.9%) missing valuesMissing
2016-04 has 15 (34.9%) missing valuesMissing
2016-05 has 15 (34.9%) missing valuesMissing
2016-06 has 15 (34.9%) missing valuesMissing
2016-07 has 15 (34.9%) missing valuesMissing
2016-08 has 15 (34.9%) missing valuesMissing
2016-09 has 15 (34.9%) missing valuesMissing
2016-10 has 15 (34.9%) missing valuesMissing
2016-11 has 15 (34.9%) missing valuesMissing
2016-12 has 15 (34.9%) missing valuesMissing
2017-01 has 15 (34.9%) missing valuesMissing
2017-02 has 15 (34.9%) missing valuesMissing
2017-03 has 15 (34.9%) missing valuesMissing
2017-04 has 15 (34.9%) missing valuesMissing
2017-05 has 15 (34.9%) missing valuesMissing
2017-06 has 15 (34.9%) missing valuesMissing
2017-07 has 15 (34.9%) missing valuesMissing
2017-08 has 15 (34.9%) missing valuesMissing
2017-09 has 15 (34.9%) missing valuesMissing
2017-10 has 15 (34.9%) missing valuesMissing
2017-11 has 15 (34.9%) missing valuesMissing
2017-12 has 15 (34.9%) missing valuesMissing
2018-01 has 9 (20.9%) missing valuesMissing
2018-02 has 9 (20.9%) missing valuesMissing
2018-03 has 9 (20.9%) missing valuesMissing
2018-04 has 9 (20.9%) missing valuesMissing
2018-05 has 9 (20.9%) missing valuesMissing
2018-06 has 9 (20.9%) missing valuesMissing
2018-07 has 9 (20.9%) missing valuesMissing
2018-08 has 9 (20.9%) missing valuesMissing
2018-09 has 9 (20.9%) missing valuesMissing
2018-10 has 9 (20.9%) missing valuesMissing
2018-11 has 9 (20.9%) missing valuesMissing
2018-12 has 9 (20.9%) missing valuesMissing
2019-01 has 9 (20.9%) missing valuesMissing
2019-02 has 9 (20.9%) missing valuesMissing
2019-03 has 9 (20.9%) missing valuesMissing
2019-04 has 9 (20.9%) missing valuesMissing
2019-05 has 9 (20.9%) missing valuesMissing
2019-06 has 9 (20.9%) missing valuesMissing
2019-07 has 9 (20.9%) missing valuesMissing
2019-08 has 9 (20.9%) missing valuesMissing
2019-09 has 9 (20.9%) missing valuesMissing
2019-10 has 9 (20.9%) missing valuesMissing
2019-11 has 9 (20.9%) missing valuesMissing
2019-12 has 9 (20.9%) missing valuesMissing
2020-01 has 9 (20.9%) missing valuesMissing
2020-02 has 9 (20.9%) missing valuesMissing
2020-03 has 9 (20.9%) missing valuesMissing
2020-04 has 9 (20.9%) missing valuesMissing
2020-05 has 9 (20.9%) missing valuesMissing
2020-06 has 9 (20.9%) missing valuesMissing
2020-07 has 9 (20.9%) missing valuesMissing
2020-08 has 9 (20.9%) missing valuesMissing
2020-09 has 9 (20.9%) missing valuesMissing
2020-10 has 9 (20.9%) missing valuesMissing
2020-11 has 9 (20.9%) missing valuesMissing
2020-12 has 9 (20.9%) missing valuesMissing
2021-01 has 9 (20.9%) missing valuesMissing
2021-02 has 9 (20.9%) missing valuesMissing
2021-03 has 9 (20.9%) missing valuesMissing
2021-04 has 9 (20.9%) missing valuesMissing
2021-05 has 9 (20.9%) missing valuesMissing
2021-06 has 9 (20.9%) missing valuesMissing
2021-07 has 9 (20.9%) missing valuesMissing
2021-08 has 9 (20.9%) missing valuesMissing
2021-09 has 9 (20.9%) missing valuesMissing
2021-10 has 9 (20.9%) missing valuesMissing
2021-11 has 9 (20.9%) missing valuesMissing
2021-12 has 9 (20.9%) missing valuesMissing
2022-01 has 9 (20.9%) missing valuesMissing
2022-02 has 9 (20.9%) missing valuesMissing
2022-03 has 9 (20.9%) missing valuesMissing
2022-04 has 9 (20.9%) missing valuesMissing
2022-05 has 9 (20.9%) missing valuesMissing
2022-06 has 9 (20.9%) missing valuesMissing
2022-07 has 9 (20.9%) missing valuesMissing
2022-08 has 9 (20.9%) missing valuesMissing
2022-09 has 9 (20.9%) missing valuesMissing
has unique valuesUnique
2022-11 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:01:07.785026
Analysis finished2023-12-12 16:01:08.678648
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct13
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size476.0 B
서울
강원
경남
경기
경북
Other values (8)
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row서울
2nd row경기
3rd row강원
4th row강원
5th row강원

Common Values

ValueCountFrequency (%)
서울 6
14.0%
강원 5
11.6%
경남 5
11.6%
경기 4
9.3%
경북 4
9.3%
전북 4
9.3%
전남 4
9.3%
충북 3
7.0%
부산 2
 
4.7%
대전 2
 
4.7%
Other values (3) 4
9.3%

Length

2023-12-13T01:01:08.745266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울 6
14.0%
강원 5
11.6%
경남 5
11.6%
경기 4
9.3%
경북 4
9.3%
전북 4
9.3%
전남 4
9.3%
충북 3
7.0%
부산 2
 
4.7%
대전 2
 
4.7%
Other values (3) 4
9.3%


Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T01:01:08.940492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2790698
Min length3

Characters and Unicode

Total characters141
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row수서역
2nd row평택지제역
3rd row강릉역
4th row둔내역
5th row평창역
ValueCountFrequency (%)
수서역 1
 
2.3%
동해역 1
 
2.3%
남원역 1
 
2.3%
순천역 1
 
2.3%
여천역 1
 
2.3%
전주역 1
 
2.3%
안동역 1
 
2.3%
양평역 1
 
2.3%
영주역 1
 
2.3%
제천역 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T01:01:09.331566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
30.5%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (52) 64
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
30.5%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (52) 64
45.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
30.5%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (52) 64
45.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
43
30.5%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (52) 64
45.4%

2014-11
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.147143
Minimum61.431
Maximum92.201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:09.468079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.431
5-th percentile65.59285
Q173.55325
median78.504
Q383.38075
95-th percentile89.2792
Maximum92.201
Range30.77
Interquartile range (IQR)9.8275

Descriptive statistics

Standard deviation7.4452154
Coefficient of variation (CV)0.095271754
Kurtosis-0.070680535
Mean78.147143
Median Absolute Deviation (MAD)4.8795
Skewness-0.26445786
Sum2188.12
Variance55.431232
MonotonicityNot monotonic
2023-12-13T01:01:09.595523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80.122 1
 
2.3%
80.673 1
 
2.3%
83.389 1
 
2.3%
77.269 1
 
2.3%
90.605 1
 
2.3%
86.817 1
 
2.3%
73.862 1
 
2.3%
63.811 1
 
2.3%
85.593 1
 
2.3%
68.902 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
61.431 1
2.3%
63.811 1
2.3%
68.902 1
2.3%
69.912 1
2.3%
71.245 1
2.3%
72.129 1
2.3%
72.627 1
2.3%
73.862 1
2.3%
74.239 1
2.3%
74.96 1
2.3%
ValueCountFrequency (%)
92.201 1
2.3%
90.605 1
2.3%
86.817 1
2.3%
86.508 1
2.3%
85.593 1
2.3%
85.472 1
2.3%
83.389 1
2.3%
83.378 1
2.3%
81.205 1
2.3%
81.043 1
2.3%

2014-12
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.325036
Minimum61.734
Maximum92.556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:09.738441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.734
5-th percentile65.6001
Q173.85675
median78.4815
Q383.39475
95-th percentile89.2857
Maximum92.556
Range30.822
Interquartile range (IQR)9.538

Descriptive statistics

Standard deviation7.4520309
Coefficient of variation (CV)0.095142387
Kurtosis-0.086622632
Mean78.325036
Median Absolute Deviation (MAD)4.93
Skewness-0.26874831
Sum2193.101
Variance55.532764
MonotonicityNot monotonic
2023-12-13T01:01:09.867170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80.393 1
 
2.3%
80.77 1
 
2.3%
83.445 1
 
2.3%
77.532 1
 
2.3%
90.615 1
 
2.3%
86.817 1
 
2.3%
74.909 1
 
2.3%
63.96 1
 
2.3%
85.593 1
 
2.3%
68.646 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
61.734 1
2.3%
63.96 1
2.3%
68.646 1
2.3%
70.121 1
2.3%
71.355 1
2.3%
72.126 1
2.3%
72.638 1
2.3%
74.263 1
2.3%
74.909 1
2.3%
75.188 1
2.3%
ValueCountFrequency (%)
92.556 1
2.3%
90.615 1
2.3%
86.817 1
2.3%
86.628 1
2.3%
85.785 1
2.3%
85.593 1
2.3%
83.445 1
2.3%
83.378 1
2.3%
82.463 1
2.3%
81.078 1
2.3%

2015-01
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.406679
Minimum62.041
Maximum92.588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:09.999726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.041
5-th percentile65.6658
Q174.0175
median78.4905
Q383.41975
95-th percentile89.43395
Maximum92.588
Range30.547
Interquartile range (IQR)9.40225

Descriptive statistics

Standard deviation7.4369731
Coefficient of variation (CV)0.094851271
Kurtosis-0.11733421
Mean78.406679
Median Absolute Deviation (MAD)4.943
Skewness-0.25801283
Sum2195.387
Variance55.308569
MonotonicityNot monotonic
2023-12-13T01:01:10.168523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80.393 1
 
2.3%
80.949 1
 
2.3%
83.461 1
 
2.3%
77.746 1
 
2.3%
90.618 1
 
2.3%
87.235 1
 
2.3%
74.909 1
 
2.3%
63.997 1
 
2.3%
85.625 1
 
2.3%
68.765 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
62.041 1
2.3%
63.997 1
2.3%
68.765 1
2.3%
70.121 1
2.3%
71.435 1
2.3%
72.118 1
2.3%
72.615 1
2.3%
74.485 1
2.3%
74.909 1
2.3%
75.579 1
2.3%
ValueCountFrequency (%)
92.588 1
2.3%
90.618 1
2.3%
87.235 1
2.3%
86.675 1
2.3%
85.906 1
2.3%
85.625 1
2.3%
83.461 1
2.3%
83.406 1
2.3%
82.463 1
2.3%
81.078 1
2.3%

2015-02
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.517786
Minimum62.196
Maximum92.695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:10.297235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.196
5-th percentile65.95515
Q174.14775
median78.4905
Q383.443
95-th percentile89.4879
Maximum92.695
Range30.499
Interquartile range (IQR)9.29525

Descriptive statistics

Standard deviation7.4080446
Coefficient of variation (CV)0.094348618
Kurtosis-0.11665114
Mean78.517786
Median Absolute Deviation (MAD)4.9895
Skewness-0.25138464
Sum2198.498
Variance54.879124
MonotonicityNot monotonic
2023-12-13T01:01:10.423269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
80.877 1
 
2.3%
80.798 1
 
2.3%
83.554 1
 
2.3%
77.768 1
 
2.3%
90.631 1
 
2.3%
87.365 1
 
2.3%
75.263 1
 
2.3%
64.174 1
 
2.3%
85.655 1
 
2.3%
69.263 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
62.196 1
2.3%
64.174 1
2.3%
69.263 1
2.3%
70.121 1
2.3%
71.55 1
2.3%
72.155 1
2.3%
72.656 1
2.3%
74.645 1
2.3%
75.263 1
2.3%
75.578 1
2.3%
ValueCountFrequency (%)
92.695 1
2.3%
90.631 1
2.3%
87.365 1
2.3%
86.761 1
2.3%
86.1 1
2.3%
85.655 1
2.3%
83.554 1
2.3%
83.406 1
2.3%
82.72 1
2.3%
81.078 1
2.3%

2015-03
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.656321
Minimum62.574
Maximum92.921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:10.546033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.574
5-th percentile66.4082
Q174.22275
median78.6165
Q383.6135
95-th percentile89.53615
Maximum92.921
Range30.347
Interquartile range (IQR)9.39075

Descriptive statistics

Standard deviation7.3655935
Coefficient of variation (CV)0.09364274
Kurtosis-0.16678997
Mean78.656321
Median Absolute Deviation (MAD)5.0285
Skewness-0.21630842
Sum2202.377
Variance54.251967
MonotonicityNot monotonic
2023-12-13T01:01:10.662077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
81.521 1
 
2.3%
80.341 1
 
2.3%
83.582 1
 
2.3%
78.059 1
 
2.3%
90.639 1
 
2.3%
87.488 1
 
2.3%
75.277 1
 
2.3%
64.675 1
 
2.3%
85.765 1
 
2.3%
69.627 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
62.574 1
2.3%
64.675 1
2.3%
69.627 1
2.3%
69.959 1
2.3%
71.833 1
2.3%
72.219 1
2.3%
72.731 1
2.3%
74.72 1
2.3%
75.277 1
2.3%
75.668 1
2.3%
ValueCountFrequency (%)
92.921 1
2.3%
90.639 1
2.3%
87.488 1
2.3%
86.853 1
2.3%
86.382 1
2.3%
85.765 1
2.3%
83.708 1
2.3%
83.582 1
2.3%
82.72 1
2.3%
81.521 1
2.3%

2015-04
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.794393
Minimum62.961
Maximum93.078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:10.799409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.961
5-th percentile66.45045
Q174.36875
median78.6725
Q383.63375
95-th percentile89.63405
Maximum93.078
Range30.117
Interquartile range (IQR)9.265

Descriptive statistics

Standard deviation7.3773399
Coefficient of variation (CV)0.093627726
Kurtosis-0.23056962
Mean78.794393
Median Absolute Deviation (MAD)4.986
Skewness-0.20878991
Sum2206.243
Variance54.425143
MonotonicityNot monotonic
2023-12-13T01:01:10.932491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
82.549 1
 
2.3%
80.161 1
 
2.3%
83.609 1
 
2.3%
78.132 1
 
2.3%
90.655 1
 
2.3%
87.738 1
 
2.3%
75.703 1
 
2.3%
64.845 1
 
2.3%
85.955 1
 
2.3%
69.432 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
62.961 1
2.3%
64.845 1
2.3%
69.432 1
2.3%
69.85 1
2.3%
71.993 1
2.3%
72.236 1
2.3%
72.802 1
2.3%
74.891 1
2.3%
75.703 1
2.3%
75.92 1
2.3%
ValueCountFrequency (%)
93.078 1
2.3%
90.655 1
2.3%
87.738 1
2.3%
86.887 1
2.3%
86.63 1
2.3%
85.955 1
2.3%
83.708 1
2.3%
83.609 1
2.3%
82.951 1
2.3%
82.549 1
2.3%

2015-05
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean78.9295
Minimum63.188
Maximum93.149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:11.057791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.188
5-th percentile66.7224
Q174.36975
median78.944
Q383.6865
95-th percentile89.71005
Maximum93.149
Range29.961
Interquartile range (IQR)9.31675

Descriptive statistics

Standard deviation7.3316622
Coefficient of variation (CV)0.092888745
Kurtosis-0.23577274
Mean78.9295
Median Absolute Deviation (MAD)4.762
Skewness-0.20381491
Sum2210.026
Variance53.75327
MonotonicityNot monotonic
2023-12-13T01:01:11.198616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
82.393 1
 
2.3%
80.161 1
 
2.3%
83.667 1
 
2.3%
78.565 1
 
2.3%
90.661 1
 
2.3%
87.944 1
 
2.3%
75.849 1
 
2.3%
65.076 1
 
2.3%
86.076 1
 
2.3%
69.78 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
63.188 1
2.3%
65.076 1
2.3%
69.78 1
2.3%
70.093 1
2.3%
72.279 1
2.3%
72.331 1
2.3%
72.845 1
2.3%
74.878 1
2.3%
75.849 1
2.3%
76.108 1
2.3%
ValueCountFrequency (%)
93.149 1
2.3%
90.661 1
2.3%
87.944 1
2.3%
86.894 1
2.3%
86.741 1
2.3%
86.076 1
2.3%
83.745 1
2.3%
83.667 1
2.3%
83.307 1
2.3%
82.393 1
2.3%

2015-06
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.081107
Minimum63.383
Maximum93.342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:11.323020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.383
5-th percentile66.8085
Q174.587
median79.1645
Q383.98475
95-th percentile89.7737
Maximum93.342
Range29.959
Interquartile range (IQR)9.39775

Descriptive statistics

Standard deviation7.3567855
Coefficient of variation (CV)0.093028357
Kurtosis-0.26356808
Mean79.081107
Median Absolute Deviation (MAD)5.032
Skewness-0.21061476
Sum2214.271
Variance54.122293
MonotonicityNot monotonic
2023-12-13T01:01:11.476471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
82.393 1
 
2.3%
80.459 1
 
2.3%
83.773 1
 
2.3%
79.047 1
 
2.3%
90.683 1
 
2.3%
88.085 1
 
2.3%
75.855 1
 
2.3%
65.083 1
 
2.3%
86.102 1
 
2.3%
70.013 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
63.383 1
2.3%
65.083 1
2.3%
70.013 1
2.3%
70.139 1
2.3%
72.346 1
2.3%
72.383 1
2.3%
72.931 1
2.3%
75.139 1
2.3%
75.855 1
2.3%
76.242 1
2.3%
ValueCountFrequency (%)
93.342 1
2.3%
90.683 1
2.3%
88.085 1
2.3%
86.931 1
2.3%
86.912 1
2.3%
86.102 1
2.3%
84.62 1
2.3%
83.773 1
2.3%
83.75 1
2.3%
82.393 1
2.3%

2015-07
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.267571
Minimum63.503
Maximum93.405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:11.601232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.503
5-th percentile67.26775
Q174.57175
median79.484
Q384.05675
95-th percentile89.7706
Maximum93.405
Range29.902
Interquartile range (IQR)9.485

Descriptive statistics

Standard deviation7.3190079
Coefficient of variation (CV)0.092332939
Kurtosis-0.30095941
Mean79.267571
Median Absolute Deviation (MAD)4.8525
Skewness-0.21451225
Sum2219.492
Variance53.567876
MonotonicityNot monotonic
2023-12-13T01:01:11.741012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.219 1
 
2.3%
81.212 1
 
2.3%
83.808 1
 
2.3%
79.773 1
 
2.3%
90.731 1
 
2.3%
87.987 1
 
2.3%
75.736 1
 
2.3%
65.579 1
 
2.3%
86.492 1
 
2.3%
70.604 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
63.503 1
2.3%
65.579 1
2.3%
70.404 1
2.3%
70.604 1
2.3%
72.433 1
2.3%
72.538 1
2.3%
72.993 1
2.3%
75.098 1
2.3%
75.736 1
2.3%
76.421 1
2.3%
ValueCountFrequency (%)
93.405 1
2.3%
90.731 1
2.3%
87.987 1
2.3%
87.031 1
2.3%
86.998 1
2.3%
86.492 1
2.3%
84.803 1
2.3%
83.808 1
2.3%
83.75 1
2.3%
83.219 1
2.3%

2015-08
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.363821
Minimum63.722
Maximum93.437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:11.863588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.722
5-th percentile67.3939
Q174.705
median79.514
Q384.116
95-th percentile89.79725
Maximum93.437
Range29.715
Interquartile range (IQR)9.411

Descriptive statistics

Standard deviation7.2894677
Coefficient of variation (CV)0.091848749
Kurtosis-0.31592734
Mean79.363821
Median Absolute Deviation (MAD)4.831
Skewness-0.22469871
Sum2222.187
Variance53.136339
MonotonicityNot monotonic
2023-12-13T01:01:11.996072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.219 1
 
2.3%
81.277 1
 
2.3%
83.887 1
 
2.3%
79.801 1
 
2.3%
90.772 1
 
2.3%
87.987 1
 
2.3%
76.026 1
 
2.3%
65.786 1
 
2.3%
86.291 1
 
2.3%
70.38 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
63.722 1
2.3%
65.786 1
2.3%
70.38 1
2.3%
70.404 1
2.3%
72.508 1
2.3%
72.679 1
2.3%
73.118 1
2.3%
75.234 1
2.3%
76.026 1
2.3%
76.566 1
2.3%
ValueCountFrequency (%)
93.437 1
2.3%
90.772 1
2.3%
87.987 1
2.3%
87.058 1
2.3%
87.045 1
2.3%
86.291 1
2.3%
84.803 1
2.3%
83.887 1
2.3%
83.768 1
2.3%
83.219 1
2.3%

2015-09
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.442786
Minimum63.974
Maximum93.604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:12.143344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.974
5-th percentile67.46795
Q174.803
median79.523
Q384.00925
95-th percentile89.816
Maximum93.604
Range29.63
Interquartile range (IQR)9.20625

Descriptive statistics

Standard deviation7.2601955
Coefficient of variation (CV)0.091388984
Kurtosis-0.31021028
Mean79.442786
Median Absolute Deviation (MAD)4.5845
Skewness-0.21058011
Sum2224.398
Variance52.710438
MonotonicityNot monotonic
2023-12-13T01:01:12.294018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.674 1
 
2.3%
81.283 1
 
2.3%
83.911 1
 
2.3%
79.861 1
 
2.3%
90.796 1
 
2.3%
87.996 1
 
2.3%
76.18 1
 
2.3%
65.887 1
 
2.3%
86.372 1
 
2.3%
70.569 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
63.974 1
2.3%
65.887 1
2.3%
70.404 1
2.3%
70.569 1
2.3%
72.576 1
2.3%
72.844 1
2.3%
73.237 1
2.3%
75.325 1
2.3%
76.18 1
2.3%
76.67 1
2.3%
ValueCountFrequency (%)
93.604 1
2.3%
90.796 1
2.3%
87.996 1
2.3%
87.2 1
2.3%
87.173 1
2.3%
86.372 1
2.3%
84.304 1
2.3%
83.911 1
2.3%
83.768 1
2.3%
83.674 1
2.3%

2015-10
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.6545
Minimum64.161
Maximum93.701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:12.430027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.161
5-th percentile67.63285
Q175.15875
median79.718
Q384.295
95-th percentile89.9497
Maximum93.701
Range29.54
Interquartile range (IQR)9.13625

Descriptive statistics

Standard deviation7.2447068
Coefficient of variation (CV)0.090951632
Kurtosis-0.31261911
Mean79.6545
Median Absolute Deviation (MAD)4.58
Skewness-0.23082594
Sum2230.326
Variance52.485776
MonotonicityNot monotonic
2023-12-13T01:01:12.554309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.674 1
 
2.3%
82.029 1
 
2.3%
84.021 1
 
2.3%
80.25 1
 
2.3%
90.782 1
 
2.3%
88.404 1
 
2.3%
76.685 1
 
2.3%
66.033 1
 
2.3%
86.408 1
 
2.3%
71.008 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
64.161 1
2.3%
66.033 1
2.3%
70.604 1
2.3%
71.008 1
2.3%
72.698 1
2.3%
72.905 1
2.3%
73.34 1
2.3%
75.765 1
2.3%
76.685 1
2.3%
76.981 1
2.3%
ValueCountFrequency (%)
93.701 1
2.3%
90.782 1
2.3%
88.404 1
2.3%
87.449 1
2.3%
87.256 1
2.3%
86.408 1
2.3%
84.304 1
2.3%
84.292 1
2.3%
84.021 1
2.3%
83.674 1
2.3%

2015-11
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.798143
Minimum64.454
Maximum93.842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:12.684055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.454
5-th percentile67.9049
Q175.4155
median79.997
Q384.59175
95-th percentile90.00165
Maximum93.842
Range29.388
Interquartile range (IQR)9.17625

Descriptive statistics

Standard deviation7.2288445
Coefficient of variation (CV)0.090589132
Kurtosis-0.35732719
Mean79.798143
Median Absolute Deviation (MAD)4.7725
Skewness-0.21901853
Sum2234.348
Variance52.256192
MonotonicityNot monotonic
2023-12-13T01:01:12.799501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.674 1
 
2.3%
81.779 1
 
2.3%
84.148 1
 
2.3%
80.709 1
 
2.3%
90.779 1
 
2.3%
88.558 1
 
2.3%
76.217 1
 
2.3%
66.29 1
 
2.3%
86.268 1
 
2.3%
71.008 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
64.454 1
2.3%
66.29 1
2.3%
70.904 1
2.3%
71.008 1
2.3%
72.79 1
2.3%
73.162 1
2.3%
73.497 1
2.3%
76.055 1
2.3%
76.217 1
2.3%
77.168 1
2.3%
ValueCountFrequency (%)
93.842 1
2.3%
90.779 1
2.3%
88.558 1
2.3%
87.586 1
2.3%
87.391 1
2.3%
86.268 1
2.3%
85.125 1
2.3%
84.414 1
2.3%
84.148 1
2.3%
83.674 1
2.3%

2015-12
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean79.966857
Minimum64.728
Maximum93.989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:12.913823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.728
5-th percentile68.0921
Q175.712
median80.2675
Q385.0695
95-th percentile90.0558
Maximum93.989
Range29.261
Interquartile range (IQR)9.3575

Descriptive statistics

Standard deviation7.2134601
Coefficient of variation (CV)0.090205622
Kurtosis-0.37732786
Mean79.966857
Median Absolute Deviation (MAD)4.8705
Skewness-0.22771701
Sum2239.072
Variance52.034006
MonotonicityNot monotonic
2023-12-13T01:01:13.028386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.674 1
 
2.3%
82.172 1
 
2.3%
84.229 1
 
2.3%
80.936 1
 
2.3%
90.802 1
 
2.3%
88.67 1
 
2.3%
76.431 1
 
2.3%
66.522 1
 
2.3%
86.273 1
 
2.3%
71.008 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
64.728 1
2.3%
66.522 1
2.3%
71.008 1
2.3%
71.042 1
2.3%
72.884 1
2.3%
73.202 1
2.3%
73.555 1
2.3%
76.431 1
2.3%
76.562 1
2.3%
77.463 1
2.3%
ValueCountFrequency (%)
93.989 1
2.3%
90.802 1
2.3%
88.67 1
2.3%
87.714 1
2.3%
87.499 1
2.3%
86.273 1
2.3%
85.275 1
2.3%
85.001 1
2.3%
84.229 1
2.3%
83.674 1
2.3%

2016-01
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.137143
Minimum64.936
Maximum94.202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:13.411496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.936
5-th percentile68.3166
Q175.92075
median80.3665
Q385.24225
95-th percentile90.07465
Maximum94.202
Range29.266
Interquartile range (IQR)9.3215

Descriptive statistics

Standard deviation7.2193764
Coefficient of variation (CV)0.090087769
Kurtosis-0.41767715
Mean80.137143
Median Absolute Deviation (MAD)4.955
Skewness-0.2242082
Sum2243.84
Variance52.119396
MonotonicityNot monotonic
2023-12-13T01:01:13.545508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.898 1
 
2.3%
82.291 1
 
2.3%
85.155 1
 
2.3%
81.083 1
 
2.3%
90.817 1
 
2.3%
88.696 1
 
2.3%
76.66 1
 
2.3%
66.834 1
 
2.3%
86.43 1
 
2.3%
71.07 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
64.936 1
2.3%
66.834 1
2.3%
71.07 1
2.3%
71.236 1
2.3%
72.962 1
2.3%
73.241 1
2.3%
73.703 1
2.3%
76.66 1
2.3%
76.853 1
2.3%
77.55 1
2.3%
ValueCountFrequency (%)
94.202 1
2.3%
90.817 1
2.3%
88.696 1
2.3%
87.87 1
2.3%
87.61 1
2.3%
86.43 1
2.3%
85.48 1
2.3%
85.163 1
2.3%
85.155 1
2.3%
83.898 1
2.3%

2016-02
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.270536
Minimum65.246
Maximum94.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:13.666158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.246
5-th percentile68.55865
Q176.04575
median80.409
Q385.31225
95-th percentile90.12165
Maximum94.39
Range29.144
Interquartile range (IQR)9.2665

Descriptive statistics

Standard deviation7.1824911
Coefficient of variation (CV)0.08947855
Kurtosis-0.43611247
Mean80.270536
Median Absolute Deviation (MAD)5.0515
Skewness-0.20239673
Sum2247.575
Variance51.588179
MonotonicityNot monotonic
2023-12-13T01:01:13.806382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
83.898 1
 
2.3%
82.597 1
 
2.3%
85.164 1
 
2.3%
81.084 1
 
2.3%
90.794 1
 
2.3%
88.873 1
 
2.3%
76.766 1
 
2.3%
67.145 1
 
2.3%
86.581 1
 
2.3%
71.184 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
65.246 1
2.3%
67.145 1
2.3%
71.184 1
2.3%
71.65 1
2.3%
72.981 1
2.3%
73.303 1
2.3%
73.885 1
2.3%
76.766 1
2.3%
77.04 1
2.3%
77.706 1
2.3%
ValueCountFrequency (%)
94.39 1
2.3%
90.794 1
2.3%
88.873 1
2.3%
88.065 1
2.3%
87.706 1
2.3%
86.581 1
2.3%
85.757 1
2.3%
85.164 1
2.3%
85.163 1
2.3%
83.97 1
2.3%

2016-03
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.427643
Minimum65.418
Maximum94.526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:13.934263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.418
5-th percentile68.91615
Q176.2705
median80.574
Q385.455
95-th percentile90.2392
Maximum94.526
Range29.108
Interquartile range (IQR)9.1845

Descriptive statistics

Standard deviation7.1650001
Coefficient of variation (CV)0.089086287
Kurtosis-0.46048351
Mean80.427643
Median Absolute Deviation (MAD)5.049
Skewness-0.19248533
Sum2251.974
Variance51.337227
MonotonicityNot monotonic
2023-12-13T01:01:14.040047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.201 1
 
2.3%
82.597 1
 
2.3%
85.287 1
 
2.3%
81.262 1
 
2.3%
90.851 1
 
2.3%
89.103 1
 
2.3%
77.04 1
 
2.3%
67.695 1
 
2.3%
86.61 1
 
2.3%
71.184 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
65.418 1
2.3%
67.695 1
2.3%
71.184 1
2.3%
71.7 1
2.3%
73.073 1
2.3%
73.432 1
2.3%
73.962 1
2.3%
77.04 1
2.3%
77.369 1
2.3%
77.821 1
2.3%
ValueCountFrequency (%)
94.526 1
2.3%
90.851 1
2.3%
89.103 1
2.3%
88.374 1
2.3%
87.84 1
2.3%
86.61 1
2.3%
85.959 1
2.3%
85.287 1
2.3%
85.24 1
2.3%
84.201 1
2.3%

2016-04
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.589821
Minimum65.715
Maximum94.621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:14.151393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.715
5-th percentile69.0408
Q176.5045
median80.7655
Q385.562
95-th percentile90.44725
Maximum94.621
Range28.906
Interquartile range (IQR)9.0575

Descriptive statistics

Standard deviation7.1684488
Coefficient of variation (CV)0.088949804
Kurtosis-0.49436766
Mean80.589821
Median Absolute Deviation (MAD)4.9805
Skewness-0.18242706
Sum2256.515
Variance51.386658
MonotonicityNot monotonic
2023-12-13T01:01:14.267497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.4 1
 
2.3%
82.66 1
 
2.3%
85.378 1
 
2.3%
81.531 1
 
2.3%
90.883 1
 
2.3%
89.638 1
 
2.3%
77.324 1
 
2.3%
67.869 1
 
2.3%
86.642 1
 
2.3%
71.217 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
65.715 1
2.3%
67.869 1
2.3%
71.217 1
2.3%
71.917 1
2.3%
73.24 1
2.3%
73.619 1
2.3%
74.046 1
2.3%
77.324 1
2.3%
77.335 1
2.3%
77.87 1
2.3%
ValueCountFrequency (%)
94.621 1
2.3%
90.883 1
2.3%
89.638 1
2.3%
88.597 1
2.3%
88.177 1
2.3%
86.642 1
2.3%
86.114 1
2.3%
85.378 1
2.3%
85.336 1
2.3%
84.4 1
2.3%

2016-05
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.744643
Minimum66.062
Maximum94.742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:14.389203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.062
5-th percentile69.2092
Q176.71025
median80.9915
Q385.784
95-th percentile90.3824
Maximum94.742
Range28.68
Interquartile range (IQR)9.07375

Descriptive statistics

Standard deviation7.1205327
Coefficient of variation (CV)0.088185822
Kurtosis-0.49819408
Mean80.744643
Median Absolute Deviation (MAD)5.0385
Skewness-0.19070681
Sum2260.85
Variance50.701985
MonotonicityNot monotonic
2023-12-13T01:01:14.509339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.4 1
 
2.3%
82.737 1
 
2.3%
85.39 1
 
2.3%
81.749 1
 
2.3%
90.899 1
 
2.3%
89.423 1
 
2.3%
78.344 1
 
2.3%
68.064 1
 
2.3%
86.682 1
 
2.3%
71.336 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
66.062 1
2.3%
68.064 1
2.3%
71.336 1
2.3%
71.917 1
2.3%
73.426 1
2.3%
73.725 1
2.3%
74.266 1
2.3%
77.525 1
2.3%
77.884 1
2.3%
78.259 1
2.3%
ValueCountFrequency (%)
94.742 1
2.3%
90.899 1
2.3%
89.423 1
2.3%
88.632 1
2.3%
88.345 1
2.3%
86.682 1
2.3%
86.522 1
2.3%
85.538 1
2.3%
85.39 1
2.3%
84.693 1
2.3%

2016-06
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean80.893821
Minimum66.27
Maximum95.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:14.649406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.27
5-th percentile69.72535
Q176.86425
median81.1765
Q386.00325
95-th percentile90.3888
Maximum95.07
Range28.8
Interquartile range (IQR)9.139

Descriptive statistics

Standard deviation7.0725189
Coefficient of variation (CV)0.087429654
Kurtosis-0.497923
Mean80.893821
Median Absolute Deviation (MAD)5.023
Skewness-0.16246367
Sum2265.027
Variance50.020523
MonotonicityNot monotonic
2023-12-13T01:01:14.845032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.426 1
 
2.3%
82.828 1
 
2.3%
85.466 1
 
2.3%
81.908 1
 
2.3%
90.911 1
 
2.3%
89.419 1
 
2.3%
78.344 1
 
2.3%
68.787 1
 
2.3%
86.592 1
 
2.3%
71.468 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
66.27 1
2.3%
68.787 1
2.3%
71.468 1
2.3%
72.075 1
2.3%
73.568 1
2.3%
73.825 1
2.3%
74.417 1
2.3%
77.68 1
2.3%
78.012 1
2.3%
78.344 1
2.3%
ValueCountFrequency (%)
95.07 1
2.3%
90.911 1
2.3%
89.419 1
2.3%
88.794 1
2.3%
88.392 1
2.3%
86.703 1
2.3%
86.592 1
2.3%
85.807 1
2.3%
85.466 1
2.3%
84.922 1
2.3%

2016-07
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean81.075679
Minimum66.475
Maximum95.262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:15.134546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.475
5-th percentile70.1167
Q176.96175
median81.297
Q386.0975
95-th percentile90.54455
Maximum95.262
Range28.787
Interquartile range (IQR)9.13575

Descriptive statistics

Standard deviation7.0421836
Coefficient of variation (CV)0.086859385
Kurtosis-0.50617961
Mean81.075679
Median Absolute Deviation (MAD)4.853
Skewness-0.14076901
Sum2270.119
Variance49.59235
MonotonicityNot monotonic
2023-12-13T01:01:15.342364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.649 1
 
2.3%
82.99 1
 
2.3%
85.4 1
 
2.3%
82.062 1
 
2.3%
90.946 1
 
2.3%
89.799 1
 
2.3%
78.458 1
 
2.3%
69.325 1
 
2.3%
86.255 1
 
2.3%
71.587 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
66.475 1
2.3%
69.325 1
2.3%
71.587 1
2.3%
72.49 1
2.3%
73.813 1
2.3%
73.98 1
2.3%
74.603 1
2.3%
77.748 1
2.3%
78.227 1
2.3%
78.458 1
2.3%
ValueCountFrequency (%)
95.262 1
2.3%
90.946 1
2.3%
89.799 1
2.3%
89.006 1
2.3%
88.451 1
2.3%
87.502 1
2.3%
86.255 1
2.3%
86.045 1
2.3%
85.4 1
2.3%
85.067 1
2.3%

2016-08
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean81.259321
Minimum66.779
Maximum95.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:15.482217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.779
5-th percentile70.64565
Q177.192
median81.428
Q386.16125
95-th percentile90.63245
Maximum95.59
Range28.811
Interquartile range (IQR)8.96925

Descriptive statistics

Standard deviation6.9926217
Coefficient of variation (CV)0.086053164
Kurtosis-0.49314562
Mean81.259321
Median Absolute Deviation (MAD)4.7425
Skewness-0.099603133
Sum2275.261
Variance48.896759
MonotonicityNot monotonic
2023-12-13T01:01:15.590060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.649 1
 
2.3%
82.99 1
 
2.3%
85.37 1
 
2.3%
82.246 1
 
2.3%
90.987 1
 
2.3%
89.974 1
 
2.3%
78.459 1
 
2.3%
69.848 1
 
2.3%
86.152 1
 
2.3%
72.127 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
66.779 1
2.3%
69.848 1
2.3%
72.127 1
2.3%
72.816 1
2.3%
73.983 1
2.3%
74.064 1
2.3%
74.837 1
2.3%
77.977 1
2.3%
78.365 1
2.3%
78.459 1
2.3%
ValueCountFrequency (%)
95.59 1
2.3%
90.987 1
2.3%
89.974 1
2.3%
89.288 1
2.3%
88.544 1
2.3%
88.133 1
2.3%
86.189 1
2.3%
86.152 1
2.3%
85.37 1
2.3%
85.129 1
2.3%

2016-09
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean81.436607
Minimum67.116
Maximum95.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:15.709008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.116
5-th percentile71.103
Q177.42725
median81.6465
Q386.267
95-th percentile90.6505
Maximum95.75
Range28.634
Interquartile range (IQR)8.83975

Descriptive statistics

Standard deviation6.9223497
Coefficient of variation (CV)0.085002923
Kurtosis-0.48353498
Mean81.436607
Median Absolute Deviation (MAD)4.6925
Skewness-0.08316439
Sum2280.225
Variance47.918925
MonotonicityNot monotonic
2023-12-13T01:01:15.823055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.354 1
 
2.3%
83.202 1
 
2.3%
85.479 1
 
2.3%
82.594 1
 
2.3%
90.983 1
 
2.3%
90.033 1
 
2.3%
78.493 1
 
2.3%
70.214 1
 
2.3%
86.195 1
 
2.3%
72.754 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
67.116 1
2.3%
70.214 1
2.3%
72.754 1
2.3%
72.9 1
2.3%
74.15 1
2.3%
74.313 1
2.3%
75.031 1
2.3%
78.226 1
2.3%
78.444 1
2.3%
78.493 1
2.3%
ValueCountFrequency (%)
95.75 1
2.3%
90.983 1
2.3%
90.033 1
2.3%
89.556 1
2.3%
88.727 1
2.3%
88.133 1
2.3%
86.483 1
2.3%
86.195 1
2.3%
85.479 1
2.3%
85.371 1
2.3%

2016-10
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean81.627036
Minimum67.258
Maximum96.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:15.954175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.258
5-th percentile71.2888
Q177.5935
median81.7865
Q386.54525
95-th percentile90.87055
Maximum96.03
Range28.772
Interquartile range (IQR)8.95175

Descriptive statistics

Standard deviation6.9259433
Coefficient of variation (CV)0.084848644
Kurtosis-0.46426222
Mean81.627036
Median Absolute Deviation (MAD)4.765
Skewness-0.074751637
Sum2285.557
Variance47.968691
MonotonicityNot monotonic
2023-12-13T01:01:16.065802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.683 1
 
2.3%
83.329 1
 
2.3%
85.581 1
 
2.3%
82.78 1
 
2.3%
91.006 1
 
2.3%
90.619 1
 
2.3%
78.634 1
 
2.3%
70.306 1
 
2.3%
86.539 1
 
2.3%
73.114 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
67.258 1
2.3%
70.306 1
2.3%
73.114 1
2.3%
73.469 1
2.3%
74.284 1
2.3%
74.393 1
2.3%
75.198 1
2.3%
78.392 1
2.3%
78.452 1
2.3%
78.634 1
2.3%
ValueCountFrequency (%)
96.03 1
2.3%
91.006 1
2.3%
90.619 1
2.3%
89.673 1
2.3%
88.868 1
2.3%
88.133 1
2.3%
86.564 1
2.3%
86.539 1
2.3%
85.581 1
2.3%
85.547 1
2.3%

2016-11
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean81.866643
Minimum67.644
Maximum96.306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:16.181996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.644
5-th percentile71.94935
Q177.84425
median81.916
Q386.76325
95-th percentile90.99855
Maximum96.306
Range28.662
Interquartile range (IQR)8.919

Descriptive statistics

Standard deviation6.8603021
Coefficient of variation (CV)0.083798503
Kurtosis-0.47370439
Mean81.866643
Median Absolute Deviation (MAD)4.9955
Skewness-0.039774453
Sum2292.266
Variance47.063746
MonotonicityNot monotonic
2023-12-13T01:01:16.291947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.683 1
 
2.3%
83.554 1
 
2.3%
85.827 1
 
2.3%
83.029 1
 
2.3%
91.071 1
 
2.3%
90.864 1
 
2.3%
78.89 1
 
2.3%
71.249 1
 
2.3%
87.208 1
 
2.3%
73.25 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
67.644 1
2.3%
71.249 1
2.3%
73.25 1
2.3%
73.956 1
2.3%
74.502 1
2.3%
74.555 1
2.3%
75.418 1
2.3%
78.653 1
2.3%
78.684 1
2.3%
78.89 1
2.3%
ValueCountFrequency (%)
96.306 1
2.3%
91.071 1
2.3%
90.864 1
2.3%
89.924 1
2.3%
88.969 1
2.3%
88.219 1
2.3%
87.208 1
2.3%
86.615 1
2.3%
85.827 1
2.3%
85.735 1
2.3%

2016-12
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean82.043393
Minimum67.943
Maximum96.555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:16.405477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.943
5-th percentile72.44745
Q177.97825
median82.073
Q386.8695
95-th percentile91.0358
Maximum96.555
Range28.612
Interquartile range (IQR)8.89125

Descriptive statistics

Standard deviation6.8091909
Coefficient of variation (CV)0.082994993
Kurtosis-0.46676893
Mean82.043393
Median Absolute Deviation (MAD)5.001
Skewness-0.013667265
Sum2297.215
Variance46.36508
MonotonicityNot monotonic
2023-12-13T01:01:16.519147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.726 1
 
2.3%
83.693 1
 
2.3%
85.954 1
 
2.3%
83.276 1
 
2.3%
91.103 1
 
2.3%
90.911 1
 
2.3%
78.944 1
 
2.3%
71.955 1
 
2.3%
87.483 1
 
2.3%
73.362 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
67.943 1
2.3%
71.955 1
2.3%
73.362 1
2.3%
74.151 1
2.3%
74.73 1
2.3%
74.743 1
2.3%
75.666 1
2.3%
78.749 1
2.3%
78.904 1
2.3%
78.944 1
2.3%
ValueCountFrequency (%)
96.555 1
2.3%
91.103 1
2.3%
90.911 1
2.3%
90.087 1
2.3%
89.077 1
2.3%
88.489 1
2.3%
87.483 1
2.3%
86.665 1
2.3%
85.954 1
2.3%
85.825 1
2.3%

2017-01
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean82.2035
Minimum68.21
Maximum96.796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:16.645768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.21
5-th percentile72.9249
Q178.07325
median82.1415
Q387.20325
95-th percentile91.0636
Maximum96.796
Range28.586
Interquartile range (IQR)9.13

Descriptive statistics

Standard deviation6.7738407
Coefficient of variation (CV)0.082403312
Kurtosis-0.45804215
Mean82.2035
Median Absolute Deviation (MAD)5.251
Skewness0.015990272
Sum2301.698
Variance45.884918
MonotonicityNot monotonic
2023-12-13T01:01:16.758737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
84.726 1
 
2.3%
83.921 1
 
2.3%
85.999 1
 
2.3%
83.207 1
 
2.3%
91.121 1
 
2.3%
90.957 1
 
2.3%
79.079 1
 
2.3%
72.661 1
 
2.3%
87.771 1
 
2.3%
73.415 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
68.21 1
2.3%
72.661 1
2.3%
73.415 1
2.3%
74.443 1
2.3%
74.858 1
2.3%
74.91 1
2.3%
75.764 1
2.3%
78.843 1
2.3%
79.079 1
2.3%
79.229 1
2.3%
ValueCountFrequency (%)
96.796 1
2.3%
91.121 1
2.3%
90.957 1
2.3%
90.514 1
2.3%
89.197 1
2.3%
88.489 1
2.3%
87.771 1
2.3%
87.014 1
2.3%
85.999 1
2.3%
85.813 1
2.3%

2017-02
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean82.395286
Minimum68.509
Maximum97.191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:16.875765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.509
5-th percentile73.16815
Q178.34025
median82.293
Q387.37475
95-th percentile91.044
Maximum97.191
Range28.682
Interquartile range (IQR)9.0345

Descriptive statistics

Standard deviation6.7535462
Coefficient of variation (CV)0.081965201
Kurtosis-0.4199907
Mean82.395286
Median Absolute Deviation (MAD)5.3145
Skewness0.031935452
Sum2307.068
Variance45.610386
MonotonicityNot monotonic
2023-12-13T01:01:16.985028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.007 1
 
2.3%
84.177 1
 
2.3%
86.034 1
 
2.3%
83.383 1
 
2.3%
91.135 1
 
2.3%
90.73 1
 
2.3%
79.265 1
 
2.3%
73.137 1
 
2.3%
88.073 1
 
2.3%
73.226 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
68.509 1
2.3%
73.137 1
2.3%
73.226 1
2.3%
74.754 1
2.3%
74.963 1
2.3%
75.287 1
2.3%
75.944 1
2.3%
79.139 1
2.3%
79.265 1
2.3%
79.464 1
2.3%
ValueCountFrequency (%)
97.191 1
2.3%
91.135 1
2.3%
90.875 1
2.3%
90.73 1
2.3%
89.318 1
2.3%
88.826 1
2.3%
88.073 1
2.3%
87.142 1
2.3%
86.034 1
2.3%
85.856 1
2.3%

2017-03
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean82.69475
Minimum68.999
Maximum97.633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:17.091367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.999
5-th percentile73.9106
Q178.559
median82.3525
Q387.33725
95-th percentile91.40695
Maximum97.633
Range28.634
Interquartile range (IQR)8.77825

Descriptive statistics

Standard deviation6.6989792
Coefficient of variation (CV)0.081008519
Kurtosis-0.38102408
Mean82.69475
Median Absolute Deviation (MAD)5.261
Skewness0.085787384
Sum2315.453
Variance44.876322
MonotonicityNot monotonic
2023-12-13T01:01:17.190538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.53 1
 
2.3%
84.519 1
 
2.3%
86.153 1
 
2.3%
83.47 1
 
2.3%
91.152 1
 
2.3%
91.275 1
 
2.3%
79.643 1
 
2.3%
73.877 1
 
2.3%
88.166 1
 
2.3%
73.973 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
68.999 1
2.3%
73.877 1
2.3%
73.973 1
2.3%
75.126 1
2.3%
75.326 1
2.3%
75.445 1
2.3%
76.213 1
2.3%
79.341 1
2.3%
79.643 1
2.3%
79.826 1
2.3%
ValueCountFrequency (%)
97.633 1
2.3%
91.478 1
2.3%
91.275 1
2.3%
91.152 1
2.3%
89.457 1
2.3%
89.164 1
2.3%
88.166 1
2.3%
87.061 1
2.3%
86.153 1
2.3%
85.92 1
2.3%

2017-04
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean82.923036
Minimum69.356
Maximum97.781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:17.299763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.356
5-th percentile74.3665
Q178.73775
median82.525
Q387.2555
95-th percentile91.81015
Maximum97.781
Range28.425
Interquartile range (IQR)8.51775

Descriptive statistics

Standard deviation6.6272742
Coefficient of variation (CV)0.079920786
Kurtosis-0.34873007
Mean82.923036
Median Absolute Deviation (MAD)5.034
Skewness0.10988215
Sum2321.845
Variance43.920763
MonotonicityNot monotonic
2023-12-13T01:01:17.405405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.706 1
 
2.3%
84.562 1
 
2.3%
86.258 1
 
2.3%
83.62 1
 
2.3%
91.181 1
 
2.3%
91.504 1
 
2.3%
79.86 1
 
2.3%
74.425 1
 
2.3%
88.166 1
 
2.3%
74.335 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
69.356 1
2.3%
74.335 1
2.3%
74.425 1
2.3%
75.446 1
2.3%
75.707 1
2.3%
75.851 1
2.3%
76.394 1
2.3%
79.519 1
2.3%
79.86 1
2.3%
79.868 1
2.3%
ValueCountFrequency (%)
97.781 1
2.3%
91.975 1
2.3%
91.504 1
2.3%
91.181 1
2.3%
89.672 1
2.3%
89.39 1
2.3%
88.166 1
2.3%
86.952 1
2.3%
86.258 1
2.3%
86.137 1
2.3%

2017-05
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean83.295714
Minimum69.616
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:17.518534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.616
5-th percentile75.16795
Q179.2
median82.987
Q387.632
95-th percentile92.44545
Maximum98
Range28.384
Interquartile range (IQR)8.432

Descriptive statistics

Standard deviation6.5459076
Coefficient of variation (CV)0.078586368
Kurtosis-0.27975511
Mean83.295714
Median Absolute Deviation (MAD)4.88
Skewness0.11956696
Sum2332.28
Variance42.848907
MonotonicityNot monotonic
2023-12-13T01:01:17.640348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
85.851 1
 
2.3%
84.697 1
 
2.3%
86.5 1
 
2.3%
84.107 1
 
2.3%
91.22 1
 
2.3%
91.657 1
 
2.3%
80.087 1
 
2.3%
75.085 1
 
2.3%
88.337 1
 
2.3%
75.322 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
69.616 1
2.3%
75.085 1
2.3%
75.322 1
2.3%
75.82 1
2.3%
75.906 1
2.3%
76.673 1
2.3%
76.857 1
2.3%
79.981 1
2.3%
80.087 1
2.3%
80.294 1
2.3%
ValueCountFrequency (%)
98.0 1
2.3%
92.87 1
2.3%
91.657 1
2.3%
91.22 1
2.3%
89.88 1
2.3%
89.649 1
2.3%
88.337 1
2.3%
87.397 1
2.3%
86.568 1
2.3%
86.5 1
2.3%

2017-06
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean83.653357
Minimum70.073
Maximum98.943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:17.762438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.073
5-th percentile76.01315
Q179.46325
median83.281
Q387.78475
95-th percentile92.8242
Maximum98.943
Range28.87
Interquartile range (IQR)8.3215

Descriptive statistics

Standard deviation6.510188
Coefficient of variation (CV)0.077823392
Kurtosis-0.10527983
Mean83.653357
Median Absolute Deviation (MAD)4.7005
Skewness0.20571505
Sum2342.294
Variance42.382548
MonotonicityNot monotonic
2023-12-13T01:01:17.886265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.069 1
 
2.3%
84.784 1
 
2.3%
86.809 1
 
2.3%
84.426 1
 
2.3%
91.277 1
 
2.3%
91.87 1
 
2.3%
80.404 1
 
2.3%
75.947 1
 
2.3%
88.375 1
 
2.3%
76.136 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
70.073 1
2.3%
75.947 1
2.3%
76.136 1
2.3%
76.257 1
2.3%
76.386 1
2.3%
77.013 1
2.3%
77.265 1
2.3%
80.196 1
2.3%
80.404 1
2.3%
80.745 1
2.3%
ValueCountFrequency (%)
98.943 1
2.3%
93.338 1
2.3%
91.87 1
2.3%
91.277 1
2.3%
90.403 1
2.3%
89.971 1
2.3%
88.375 1
2.3%
87.588 1
2.3%
86.809 1
2.3%
86.782 1
2.3%

2017-07
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean83.9885
Minimum70.364
Maximum99.218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:18.022570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.364
5-th percentile76.7165
Q179.7355
median83.5965
Q387.993
95-th percentile93.0247
Maximum99.218
Range28.854
Interquartile range (IQR)8.2575

Descriptive statistics

Standard deviation6.4228233
Coefficient of variation (CV)0.076472652
Kurtosis-0.026369979
Mean83.9885
Median Absolute Deviation (MAD)4.6185
Skewness0.20347849
Sum2351.678
Variance41.252659
MonotonicityNot monotonic
2023-12-13T01:01:18.164507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.458 1
 
2.3%
85.333 1
 
2.3%
87.14 1
 
2.3%
84.702 1
 
2.3%
91.308 1
 
2.3%
91.687 1
 
2.3%
80.749 1
 
2.3%
76.749 1
 
2.3%
88.659 1
 
2.3%
76.936 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
70.364 1
2.3%
76.699 1
2.3%
76.749 1
2.3%
76.791 1
2.3%
76.936 1
2.3%
77.311 1
2.3%
77.565 1
2.3%
80.459 1
2.3%
80.749 1
2.3%
81.096 1
2.3%
ValueCountFrequency (%)
99.218 1
2.3%
93.745 1
2.3%
91.687 1
2.3%
91.308 1
2.3%
90.58 1
2.3%
90.127 1
2.3%
88.659 1
2.3%
87.771 1
2.3%
87.356 1
2.3%
87.14 1
2.3%

2017-08
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean84.288929
Minimum70.814
Maximum99.323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:18.304282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.814
5-th percentile76.99355
Q179.9245
median83.8985
Q388.4085
95-th percentile93.2765
Maximum99.323
Range28.509
Interquartile range (IQR)8.484

Descriptive statistics

Standard deviation6.3716602
Coefficient of variation (CV)0.075593086
Kurtosis-0.065560992
Mean84.288929
Median Absolute Deviation (MAD)4.6615
Skewness0.19818808
Sum2360.09
Variance40.598054
MonotonicityNot monotonic
2023-12-13T01:01:18.434479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.773 1
 
2.3%
85.588 1
 
2.3%
87.527 1
 
2.3%
84.954 1
 
2.3%
91.391 1
 
2.3%
91.762 1
 
2.3%
81.131 1
 
2.3%
77.677 1
 
2.3%
88.863 1
 
2.3%
77.054 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
70.814 1
2.3%
76.961 1
2.3%
77.054 1
2.3%
77.275 1
2.3%
77.392 1
2.3%
77.677 1
2.3%
77.85 1
2.3%
80.616 1
2.3%
81.131 1
2.3%
81.436 1
2.3%
ValueCountFrequency (%)
99.323 1
2.3%
94.092 1
2.3%
91.762 1
2.3%
91.391 1
2.3%
90.84 1
2.3%
90.323 1
2.3%
88.863 1
2.3%
88.257 1
2.3%
87.977 1
2.3%
87.527 1
2.3%

2017-09
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean84.532036
Minimum71.223
Maximum100.224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:18.552052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.223
5-th percentile77.1869
Q180.07975
median84.1315
Q388.4755
95-th percentile93.4505
Maximum100.224
Range29.001
Interquartile range (IQR)8.39575

Descriptive statistics

Standard deviation6.3894795
Coefficient of variation (CV)0.075586485
Kurtosis0.094723842
Mean84.532036
Median Absolute Deviation (MAD)4.5625
Skewness0.27267943
Sum2366.897
Variance40.825448
MonotonicityNot monotonic
2023-12-13T01:01:19.037414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.773 1
 
2.3%
85.959 1
 
2.3%
87.851 1
 
2.3%
85.186 1
 
2.3%
91.484 1
 
2.3%
91.728 1
 
2.3%
81.328 1
 
2.3%
78.195 1
 
2.3%
89.131 1
 
2.3%
77.313 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
71.223 1
2.3%
77.119 1
2.3%
77.313 1
2.3%
77.474 1
2.3%
77.74 1
2.3%
78.105 1
2.3%
78.195 1
2.3%
80.708 1
2.3%
81.328 1
2.3%
81.609 1
2.3%
ValueCountFrequency (%)
100.224 1
2.3%
94.378 1
2.3%
91.728 1
2.3%
91.484 1
2.3%
91.099 1
2.3%
90.406 1
2.3%
89.131 1
2.3%
88.257 1
2.3%
88.254 1
2.3%
87.851 1
2.3%

2017-10
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean84.743143
Minimum71.505
Maximum100.477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:19.217325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.505
5-th percentile77.16335
Q180.3435
median84.381
Q389.236
95-th percentile93.7214
Maximum100.477
Range28.972
Interquartile range (IQR)8.8925

Descriptive statistics

Standard deviation6.4334241
Coefficient of variation (CV)0.075916752
Kurtosis0.042226733
Mean84.743143
Median Absolute Deviation (MAD)4.879
Skewness0.27370759
Sum2372.808
Variance41.388946
MonotonicityNot monotonic
2023-12-13T01:01:19.392319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.892 1
 
2.3%
86.257 1
 
2.3%
88.143 1
 
2.3%
85.427 1
 
2.3%
91.504 1
 
2.3%
91.657 1
 
2.3%
81.546 1
 
2.3%
78.656 1
 
2.3%
89.308 1
 
2.3%
77.1 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
71.505 1
2.3%
77.1 1
2.3%
77.281 1
2.3%
77.605 1
2.3%
77.887 1
2.3%
78.266 1
2.3%
78.656 1
2.3%
80.906 1
2.3%
81.546 1
2.3%
81.747 1
2.3%
ValueCountFrequency (%)
100.477 1
2.3%
94.833 1
2.3%
91.657 1
2.3%
91.504 1
2.3%
91.401 1
2.3%
90.721 1
2.3%
89.308 1
2.3%
89.212 1
2.3%
88.423 1
2.3%
88.143 1
2.3%

2017-11
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean84.976679
Minimum72.141
Maximum100.557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:19.550132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.141
5-th percentile77.50355
Q180.72025
median84.657
Q389.35175
95-th percentile93.9552
Maximum100.557
Range28.416
Interquartile range (IQR)8.6315

Descriptive statistics

Standard deviation6.379945
Coefficient of variation (CV)0.075078775
Kurtosis-0.016965419
Mean84.976679
Median Absolute Deviation (MAD)4.8345
Skewness0.2950083
Sum2379.347
Variance40.703698
MonotonicityNot monotonic
2023-12-13T01:01:19.701525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
86.892 1
 
2.3%
86.552 1
 
2.3%
88.428 1
 
2.3%
85.631 1
 
2.3%
91.552 1
 
2.3%
91.935 1
 
2.3%
81.663 1
 
2.3%
79.161 1
 
2.3%
89.771 1
 
2.3%
77.492 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
72.141 1
2.3%
77.492 1
2.3%
77.525 1
2.3%
77.812 1
2.3%
77.992 1
2.3%
78.412 1
2.3%
79.161 1
2.3%
81.24 1
2.3%
81.663 1
2.3%
81.944 1
2.3%
ValueCountFrequency (%)
100.557 1
2.3%
95.043 1
2.3%
91.935 1
2.3%
91.808 1
2.3%
91.552 1
2.3%
90.81 1
2.3%
89.771 1
2.3%
89.212 1
2.3%
88.646 1
2.3%
88.428 1
2.3%

2017-12
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing15
Missing (%)34.9%
Infinite0
Infinite (%)0.0%
Mean85.278036
Minimum72.516
Maximum101.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:19.881119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.516
5-th percentile77.57355
Q180.9395
median84.8745
Q390.1055
95-th percentile94.06475
Maximum101.265
Range28.749
Interquartile range (IQR)9.166

Descriptive statistics

Standard deviation6.4201082
Coefficient of variation (CV)0.075284429
Kurtosis0.04761043
Mean85.278036
Median Absolute Deviation (MAD)5.2265
Skewness0.3192802
Sum2387.785
Variance41.217789
MonotonicityNot monotonic
2023-12-13T01:01:20.027843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
87.379 1
 
2.3%
86.786 1
 
2.3%
88.723 1
 
2.3%
85.8 1
 
2.3%
91.631 1
 
2.3%
92.008 1
 
2.3%
81.799 1
 
2.3%
79.573 1
 
2.3%
90.026 1
 
2.3%
77.492 1
 
2.3%
Other values (18) 18
41.9%
(Missing) 15
34.9%
ValueCountFrequency (%)
72.516 1
2.3%
77.492 1
2.3%
77.725 1
2.3%
78.137 1
2.3%
78.283 1
2.3%
78.711 1
2.3%
79.573 1
2.3%
81.395 1
2.3%
81.799 1
2.3%
81.944 1
2.3%
ValueCountFrequency (%)
101.265 1
2.3%
95.162 1
2.3%
92.027 1
2.3%
92.008 1
2.3%
91.631 1
2.3%
91.138 1
2.3%
90.344 1
2.3%
90.026 1
2.3%
88.884 1
2.3%
88.723 1
2.3%

2018-01
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean85.679529
Minimum72.967
Maximum101.451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:20.196285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.967
5-th percentile77.8468
Q181.6805
median85.1185
Q390.56825
95-th percentile94.4103
Maximum101.451
Range28.484
Interquartile range (IQR)8.88775

Descriptive statistics

Standard deviation6.2050528
Coefficient of variation (CV)0.072421649
Kurtosis-0.10001596
Mean85.679529
Median Absolute Deviation (MAD)5.037
Skewness0.30160665
Sum2913.104
Variance38.502681
MonotonicityNot monotonic
2023-12-13T01:01:20.393019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
90.086 1
 
2.3%
87.617 1
 
2.3%
86.261 1
 
2.3%
78.407 1
 
2.3%
89.125 1
 
2.3%
83.804 1
 
2.3%
77.54 1
 
2.3%
80.012 1
 
2.3%
90.729 1
 
2.3%
81.862 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
72.967 1
2.3%
77.54 1
2.3%
78.012 1
2.3%
78.407 1
2.3%
78.762 1
2.3%
78.87 1
2.3%
79.222 1
2.3%
80.012 1
2.3%
81.62 1
2.3%
81.862 1
2.3%
ValueCountFrequency (%)
101.451 1
2.3%
95.592 1
2.3%
93.774 1
2.3%
92.625 1
2.3%
92.55 1
2.3%
91.819 1
2.3%
91.686 1
2.3%
91.287 1
2.3%
90.729 1
2.3%
90.086 1
2.3%

2018-02
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean85.908853
Minimum73.173
Maximum101.675
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:20.569978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.173
5-th percentile77.98665
Q181.9055
median85.345
Q390.7285
95-th percentile94.4866
Maximum101.675
Range28.502
Interquartile range (IQR)8.823

Descriptive statistics

Standard deviation6.163845
Coefficient of variation (CV)0.071748659
Kurtosis-0.041498348
Mean85.908853
Median Absolute Deviation (MAD)4.906
Skewness0.30459271
Sum2920.901
Variance37.992985
MonotonicityNot monotonic
2023-12-13T01:01:20.718622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
90.289 1
 
2.3%
87.811 1
 
2.3%
86.441 1
 
2.3%
78.721 1
 
2.3%
89.242 1
 
2.3%
84.06 1
 
2.3%
77.557 1
 
2.3%
80.477 1
 
2.3%
90.875 1
 
2.3%
82.123 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
73.173 1
2.3%
77.557 1
2.3%
78.218 1
2.3%
78.721 1
2.3%
79.107 1
2.3%
79.307 1
2.3%
79.733 1
2.3%
80.477 1
2.3%
81.833 1
2.3%
82.123 1
2.3%
ValueCountFrequency (%)
101.675 1
2.3%
95.81 1
2.3%
93.774 1
2.3%
92.971 1
2.3%
92.71 1
2.3%
91.988 1
2.3%
91.695 1
2.3%
91.533 1
2.3%
90.875 1
2.3%
90.289 1
2.3%

2018-03
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean86.205971
Minimum73.824
Maximum101.965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:20.920188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.824
5-th percentile78.3376
Q182.21825
median85.595
Q390.73075
95-th percentile94.7559
Maximum101.965
Range28.141
Interquartile range (IQR)8.5125

Descriptive statistics

Standard deviation6.0975431
Coefficient of variation (CV)0.07073226
Kurtosis-0.0039115254
Mean86.205971
Median Absolute Deviation (MAD)4.575
Skewness0.33977045
Sum2931.003
Variance37.180032
MonotonicityNot monotonic
2023-12-13T01:01:21.060061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
90.298 1
 
2.3%
87.943 1
 
2.3%
86.62 1
 
2.3%
79.151 1
 
2.3%
89.551 1
 
2.3%
84.332 1
 
2.3%
77.828 1
 
2.3%
81.148 1
 
2.3%
90.875 1
 
2.3%
82.354 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
73.824 1
2.3%
77.828 1
2.3%
78.612 1
2.3%
79.151 1
2.3%
79.413 1
2.3%
79.563 1
2.3%
80.251 1
2.3%
81.148 1
2.3%
82.173 1
2.3%
82.354 1
2.3%
ValueCountFrequency (%)
101.965 1
2.3%
96.091 1
2.3%
94.037 1
2.3%
93.364 1
2.3%
92.96 1
2.3%
92.396 1
2.3%
91.769 1
2.3%
91.649 1
2.3%
90.875 1
2.3%
90.298 1
2.3%

2018-04
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean86.470147
Minimum74.384
Maximum101.672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:21.201721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.384
5-th percentile78.5922
Q182.44475
median85.8195
Q390.87925
95-th percentile94.89765
Maximum101.672
Range27.288
Interquartile range (IQR)8.4345

Descriptive statistics

Standard deviation6.0138781
Coefficient of variation (CV)0.069548605
Kurtosis-0.10634102
Mean86.470147
Median Absolute Deviation (MAD)4.6255
Skewness0.31199353
Sum2939.985
Variance36.16673
MonotonicityNot monotonic
2023-12-13T01:01:21.379442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
90.934 1
 
2.3%
88.364 1
 
2.3%
86.828 1
 
2.3%
79.588 1
 
2.3%
89.724 1
 
2.3%
84.757 1
 
2.3%
77.885 1
 
2.3%
81.464 1
 
2.3%
90.715 1
 
2.3%
82.756 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
74.384 1
2.3%
77.885 1
2.3%
78.973 1
2.3%
79.588 1
2.3%
79.638 1
2.3%
79.888 1
2.3%
80.495 1
2.3%
81.464 1
2.3%
82.341 1
2.3%
82.756 1
2.3%
ValueCountFrequency (%)
101.672 1
2.3%
96.496 1
2.3%
94.037 1
2.3%
93.815 1
2.3%
93.089 1
2.3%
92.716 1
2.3%
92.02 1
2.3%
91.558 1
2.3%
90.934 1
2.3%
90.715 1
2.3%

2018-05
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean86.7245
Minimum74.882
Maximum101.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:21.535755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.882
5-th percentile78.8604
Q182.63525
median86.229
Q391.17025
95-th percentile95.3043
Maximum101.79
Range26.908
Interquartile range (IQR)8.535

Descriptive statistics

Standard deviation6.00262
Coefficient of variation (CV)0.069214812
Kurtosis-0.14676934
Mean86.7245
Median Absolute Deviation (MAD)4.613
Skewness0.33368879
Sum2948.633
Variance36.031447
MonotonicityNot monotonic
2023-12-13T01:01:21.711291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
91.177 1
 
2.3%
88.397 1
 
2.3%
87.077 1
 
2.3%
79.782 1
 
2.3%
89.967 1
 
2.3%
84.867 1
 
2.3%
78.252 1
 
2.3%
81.924 1
 
2.3%
91.15 1
 
2.3%
82.891 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
74.882 1
2.3%
78.252 1
2.3%
79.188 1
2.3%
79.782 1
2.3%
79.982 1
2.3%
80.082 1
2.3%
80.79 1
2.3%
81.924 1
2.3%
82.55 1
2.3%
82.891 1
2.3%
ValueCountFrequency (%)
101.79 1
2.3%
97.084 1
2.3%
94.346 1
2.3%
94.108 1
2.3%
93.438 1
2.3%
92.805 1
2.3%
92.299 1
2.3%
91.602 1
2.3%
91.177 1
2.3%
91.15 1
2.3%

2018-06
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean87.011647
Minimum75.342
Maximum101.859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:21.887573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.342
5-th percentile79.17815
Q182.9815
median86.4955
Q391.516
95-th percentile95.5763
Maximum101.859
Range26.517
Interquartile range (IQR)8.5345

Descriptive statistics

Standard deviation5.9444821
Coefficient of variation (CV)0.068318235
Kurtosis-0.18596327
Mean87.011647
Median Absolute Deviation (MAD)4.569
Skewness0.3303017
Sum2958.396
Variance35.336868
MonotonicityNot monotonic
2023-12-13T01:01:22.035396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
91.606 1
 
2.3%
88.729 1
 
2.3%
87.282 1
 
2.3%
80.181 1
 
2.3%
90.543 1
 
2.3%
85.205 1
 
2.3%
78.599 1
 
2.3%
82.108 1
 
2.3%
91.246 1
 
2.3%
83.178 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
75.342 1
2.3%
78.599 1
2.3%
79.49 1
2.3%
80.181 1
2.3%
80.317 1
2.3%
80.5 1
2.3%
81.134 1
2.3%
82.108 1
2.3%
82.916 1
2.3%
83.178 1
2.3%
ValueCountFrequency (%)
101.859 1
2.3%
97.109 1
2.3%
94.751 1
2.3%
94.418 1
2.3%
93.492 1
2.3%
93.221 1
2.3%
92.698 1
2.3%
91.633 1
2.3%
91.606 1
2.3%
91.246 1
2.3%

2018-07
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean87.350265
Minimum76.028
Maximum101.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:22.203059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.028
5-th percentile79.65465
Q183.3225
median86.776
Q391.6
95-th percentile95.6302
Maximum101.57
Range25.542
Interquartile range (IQR)8.2775

Descriptive statistics

Standard deviation5.7753813
Coefficient of variation (CV)0.066117502
Kurtosis-0.23405762
Mean87.350265
Median Absolute Deviation (MAD)4.4465
Skewness0.31669344
Sum2969.909
Variance33.355029
MonotonicityNot monotonic
2023-12-13T01:01:22.385426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.013 1
 
2.3%
88.729 1
 
2.3%
87.432 1
 
2.3%
80.397 1
 
2.3%
90.904 1
 
2.3%
85.643 1
 
2.3%
79.381 1
 
2.3%
82.353 1
 
2.3%
91.246 1
 
2.3%
83.387 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
76.028 1
2.3%
79.381 1
2.3%
79.802 1
2.3%
80.397 1
2.3%
80.808 1
2.3%
81.288 1
2.3%
81.686 1
2.3%
82.353 1
2.3%
83.301 1
2.3%
83.387 1
2.3%
ValueCountFrequency (%)
101.57 1
2.3%
97.263 1
2.3%
94.751 1
2.3%
94.679 1
2.3%
93.728 1
2.3%
93.723 1
2.3%
92.818 1
2.3%
92.013 1
2.3%
91.718 1
2.3%
91.246 1
2.3%

2018-08
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean87.594853
Minimum76.294
Maximum101.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:22.549517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.294
5-th percentile80.44645
Q183.56875
median86.9865
Q391.7245
95-th percentile95.75435
Maximum101.4
Range25.106
Interquartile range (IQR)8.15575

Descriptive statistics

Standard deviation5.6173769
Coefficient of variation (CV)0.064129075
Kurtosis-0.20590057
Mean87.594853
Median Absolute Deviation (MAD)4.2375
Skewness0.316145
Sum2978.225
Variance31.554923
MonotonicityNot monotonic
2023-12-13T01:01:22.712018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.081 1
 
2.3%
88.791 1
 
2.3%
87.589 1
 
2.3%
80.535 1
 
2.3%
91.124 1
 
2.3%
86.002 1
 
2.3%
80.282 1
 
2.3%
82.771 1
 
2.3%
91.246 1
 
2.3%
83.598 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
76.294 1
2.3%
80.282 1
2.3%
80.535 1
2.3%
80.609 1
2.3%
81.177 1
2.3%
81.766 1
2.3%
82.201 1
2.3%
82.771 1
2.3%
83.559 1
2.3%
83.598 1
2.3%
ValueCountFrequency (%)
101.4 1
2.3%
97.263 1
2.3%
94.942 1
2.3%
94.751 1
2.3%
93.827 1
2.3%
93.728 1
2.3%
92.958 1
2.3%
92.081 1
2.3%
91.884 1
2.3%
91.246 1
2.3%

2018-09
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean87.886059
Minimum76.956
Maximum101.599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:22.848876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.956
5-th percentile80.71035
Q183.894
median87.299
Q391.91625
95-th percentile95.7807
Maximum101.599
Range24.643
Interquartile range (IQR)8.02225

Descriptive statistics

Standard deviation5.4820316
Coefficient of variation (CV)0.062376578
Kurtosis-0.15446925
Mean87.886059
Median Absolute Deviation (MAD)4.343
Skewness0.33457041
Sum2988.126
Variance30.052671
MonotonicityNot monotonic
2023-12-13T01:01:22.999624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.249 1
 
2.3%
89.247 1
 
2.3%
87.782 1
 
2.3%
80.941 1
 
2.3%
91.37 1
 
2.3%
86.242 1
 
2.3%
80.282 1
 
2.3%
83.775 1
 
2.3%
91.914 1
 
2.3%
83.963 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
76.956 1
2.3%
80.282 1
2.3%
80.941 1
2.3%
81.191 1
2.3%
81.879 1
2.3%
82.289 1
2.3%
82.631 1
2.3%
83.775 1
2.3%
83.871 1
2.3%
83.963 1
2.3%
ValueCountFrequency (%)
101.599 1
2.3%
97.095 1
2.3%
95.073 1
2.3%
94.751 1
2.3%
94.025 1
2.3%
93.881 1
2.3%
92.958 1
2.3%
92.249 1
2.3%
91.917 1
2.3%
91.914 1
2.3%

2018-10
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean88.182235
Minimum77.506
Maximum101.917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:23.116378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.506
5-th percentile81.0602
Q184.23125
median87.637
Q392.055
95-th percentile95.98785
Maximum101.917
Range24.411
Interquartile range (IQR)7.82375

Descriptive statistics

Standard deviation5.3748115
Coefficient of variation (CV)0.060951182
Kurtosis-0.054842967
Mean88.182235
Median Absolute Deviation (MAD)4.0965
Skewness0.37644167
Sum2998.196
Variance28.888599
MonotonicityNot monotonic
2023-12-13T01:01:23.259562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.717 1
 
2.3%
89.488 1
 
2.3%
88.089 1
 
2.3%
81.042 1
 
2.3%
91.553 1
 
2.3%
86.51 1
 
2.3%
81.07 1
 
2.3%
84.635 1
 
2.3%
91.914 1
 
2.3%
84.457 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
77.506 1
2.3%
81.042 1
2.3%
81.07 1
2.3%
81.679 1
2.3%
82.486 1
2.3%
82.75 1
2.3%
83.128 1
2.3%
84.043 1
2.3%
84.156 1
2.3%
84.457 1
2.3%
ValueCountFrequency (%)
101.917 1
2.3%
97.139 1
2.3%
95.368 1
2.3%
95.236 1
2.3%
94.103 1
2.3%
93.703 1
2.3%
92.82 1
2.3%
92.717 1
2.3%
92.102 1
2.3%
91.914 1
2.3%

2018-11
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean88.480265
Minimum78.222
Maximum102.099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:23.386666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.222
5-th percentile81.8428
Q184.44325
median87.848
Q392.13375
95-th percentile95.95175
Maximum102.099
Range23.877
Interquartile range (IQR)7.6905

Descriptive statistics

Standard deviation5.202616
Coefficient of variation (CV)0.058799733
Kurtosis0.064353396
Mean88.480265
Median Absolute Deviation (MAD)4.0515
Skewness0.43188534
Sum3008.329
Variance27.067213
MonotonicityNot monotonic
2023-12-13T01:01:23.528949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.769 1
 
2.3%
89.788 1
 
2.3%
88.345 1
 
2.3%
81.042 1
 
2.3%
91.885 1
 
2.3%
86.743 1
 
2.3%
82.532 1
 
2.3%
85.413 1
 
2.3%
91.914 1
 
2.3%
84.894 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
78.222 1
2.3%
81.042 1
2.3%
82.274 1
2.3%
82.532 1
2.3%
83.141 1
2.3%
83.361 1
2.3%
83.542 1
2.3%
84.273 1
2.3%
84.293 1
2.3%
84.894 1
2.3%
ValueCountFrequency (%)
102.099 1
2.3%
97.281 1
2.3%
95.236 1
2.3%
95.11 1
2.3%
94.403 1
2.3%
93.703 1
2.3%
93.198 1
2.3%
92.769 1
2.3%
92.207 1
2.3%
91.914 1
2.3%

2018-12
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean88.724824
Minimum78.731
Maximum102.092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:23.689245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.731
5-th percentile82.0994
Q184.72725
median88.098
Q392.199
95-th percentile96.3222
Maximum102.092
Range23.361
Interquartile range (IQR)7.47175

Descriptive statistics

Standard deviation5.1246433
Coefficient of variation (CV)0.057758845
Kurtosis0.064575146
Mean88.724824
Median Absolute Deviation (MAD)3.7005
Skewness0.44215124
Sum3016.644
Variance26.261969
MonotonicityNot monotonic
2023-12-13T01:01:23.860774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.933 1
 
2.3%
90.034 1
 
2.3%
88.417 1
 
2.3%
81.296 1
 
2.3%
91.683 1
 
2.3%
87.004 1
 
2.3%
82.532 1
 
2.3%
85.97 1
 
2.3%
91.914 1
 
2.3%
85.319 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
78.731 1
2.3%
81.296 1
2.3%
82.532 1
2.3%
82.866 1
2.3%
83.504 1
2.3%
83.675 1
2.3%
83.831 1
2.3%
84.513 1
2.3%
84.53 1
2.3%
85.319 1
2.3%
ValueCountFrequency (%)
102.092 1
2.3%
97.617 1
2.3%
95.625 1
2.3%
94.973 1
2.3%
94.589 1
2.3%
93.86 1
2.3%
93.703 1
2.3%
92.933 1
2.3%
92.294 1
2.3%
91.914 1
2.3%

2019-01
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean89.001618
Minimum79.235
Maximum102.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:24.042709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.235
5-th percentile82.17255
Q185.22175
median88.3145
Q392.81975
95-th percentile96.5328
Maximum102.16
Range22.925
Interquartile range (IQR)7.598

Descriptive statistics

Standard deviation5.1139909
Coefficient of variation (CV)0.057459528
Kurtosis-0.063767338
Mean89.001618
Median Absolute Deviation (MAD)3.9555
Skewness0.42015038
Sum3026.055
Variance26.152903
MonotonicityNot monotonic
2023-12-13T01:01:24.167558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.933 1
 
2.3%
90.498 1
 
2.3%
88.694 1
 
2.3%
81.505 1
 
2.3%
92.019 1
 
2.3%
87.261 1
 
2.3%
82.532 1
 
2.3%
86.167 1
 
2.3%
93.462 1
 
2.3%
85.824 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
79.235 1
2.3%
81.505 1
2.3%
82.532 1
2.3%
83.367 1
2.3%
83.693 1
2.3%
83.967 1
2.3%
84.005 1
2.3%
84.569 1
2.3%
85.021 1
2.3%
85.824 1
2.3%
ValueCountFrequency (%)
102.16 1
2.3%
97.773 1
2.3%
95.865 1
2.3%
94.973 1
2.3%
94.632 1
2.3%
94.265 1
2.3%
94.159 1
2.3%
93.462 1
2.3%
92.933 1
2.3%
92.48 1
2.3%

2019-02
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean89.217676
Minimum79.64
Maximum102.241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:24.290088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.64
5-th percentile82.2863
Q185.60675
median88.5025
Q392.898
95-th percentile96.6525
Maximum102.241
Range22.601
Interquartile range (IQR)7.29125

Descriptive statistics

Standard deviation5.0276214
Coefficient of variation (CV)0.056352302
Kurtosis-0.022405576
Mean89.217676
Median Absolute Deviation (MAD)4.021
Skewness0.42449493
Sum3033.401
Variance25.276977
MonotonicityNot monotonic
2023-12-13T01:01:24.419006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
92.95 1
 
2.3%
90.424 1
 
2.3%
88.943 1
 
2.3%
81.83 1
 
2.3%
92.263 1
 
2.3%
87.572 1
 
2.3%
82.532 1
 
2.3%
86.649 1
 
2.3%
93.496 1
 
2.3%
86.338 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
79.64 1
2.3%
81.83 1
2.3%
82.532 1
2.3%
83.998 1
2.3%
84.097 1
2.3%
84.197 1
2.3%
84.214 1
2.3%
84.7 1
2.3%
85.363 1
2.3%
86.338 1
2.3%
ValueCountFrequency (%)
102.241 1
2.3%
97.764 1
2.3%
96.054 1
2.3%
94.973 1
2.3%
94.776 1
2.3%
94.396 1
2.3%
94.339 1
2.3%
93.496 1
2.3%
92.95 1
2.3%
92.742 1
2.3%

2019-03
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean89.463382
Minimum80.142
Maximum102.231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:24.534372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.142
5-th percentile82.4759
Q185.837
median88.7285
Q393.0825
95-th percentile96.73295
Maximum102.231
Range22.089
Interquartile range (IQR)7.2455

Descriptive statistics

Standard deviation4.9281895
Coefficient of variation (CV)0.055086108
Kurtosis-0.037264799
Mean89.463382
Median Absolute Deviation (MAD)4.0625
Skewness0.40255879
Sum3041.755
Variance24.287052
MonotonicityNot monotonic
2023-12-13T01:01:24.646207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
93.075 1
 
2.3%
90.815 1
 
2.3%
89.109 1
 
2.3%
82.225 1
 
2.3%
92.638 1
 
2.3%
87.99 1
 
2.3%
82.611 1
 
2.3%
87.283 1
 
2.3%
93.183 1
 
2.3%
86.896 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
80.142 1
2.3%
82.225 1
2.3%
82.611 1
2.3%
84.334 1
2.3%
84.416 1
2.3%
84.456 1
2.3%
84.513 1
2.3%
85.066 1
2.3%
85.484 1
2.3%
86.896 1
2.3%
ValueCountFrequency (%)
102.231 1
2.3%
97.667 1
2.3%
96.23 1
2.3%
94.973 1
2.3%
94.831 1
2.3%
94.566 1
2.3%
94.539 1
2.3%
93.183 1
2.3%
93.085 1
2.3%
93.075 1
2.3%

2019-04
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean89.753147
Minimum80.714
Maximum101.732
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:24.764070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.714
5-th percentile82.93295
Q186.2085
median89.0985
Q393.21975
95-th percentile96.81145
Maximum101.732
Range21.018
Interquartile range (IQR)7.01125

Descriptive statistics

Standard deviation4.7801131
Coefficient of variation (CV)0.053258446
Kurtosis-0.20719415
Mean89.753147
Median Absolute Deviation (MAD)3.9485
Skewness0.34342499
Sum3051.607
Variance22.849482
MonotonicityNot monotonic
2023-12-13T01:01:24.894289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
93.232 1
 
2.3%
90.964 1
 
2.3%
89.388 1
 
2.3%
82.749 1
 
2.3%
92.819 1
 
2.3%
88.198 1
 
2.3%
83.032 1
 
2.3%
88.194 1
 
2.3%
93.183 1
 
2.3%
87.368 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
80.714 1
2.3%
82.749 1
2.3%
83.032 1
2.3%
84.6 1
2.3%
84.649 1
2.3%
84.739 1
2.3%
85.046 1
2.3%
85.254 1
2.3%
85.822 1
2.3%
87.368 1
2.3%
ValueCountFrequency (%)
101.732 1
2.3%
97.518 1
2.3%
96.431 1
2.3%
95.505 1
2.3%
94.93 1
2.3%
94.836 1
2.3%
94.779 1
2.3%
93.384 1
2.3%
93.232 1
2.3%
93.183 1
2.3%

2019-05
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean90.005088
Minimum81.354
Maximum101.531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:25.020140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.354
5-th percentile83.49985
Q186.3675
median89.268
Q393.51275
95-th percentile96.9341
Maximum101.531
Range20.177
Interquartile range (IQR)7.14525

Descriptive statistics

Standard deviation4.6686544
Coefficient of variation (CV)0.051871005
Kurtosis-0.31766262
Mean90.005088
Median Absolute Deviation (MAD)3.8015
Skewness0.33550365
Sum3060.173
Variance21.796334
MonotonicityNot monotonic
2023-12-13T01:01:25.650075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
93.564 1
 
2.3%
91.244 1
 
2.3%
89.593 1
 
2.3%
83.065 1
 
2.3%
92.909 1
 
2.3%
88.495 1
 
2.3%
83.734 1
 
2.3%
88.762 1
 
2.3%
93.359 1
 
2.3%
87.667 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
81.354 1
2.3%
83.065 1
2.3%
83.734 1
2.3%
84.903 1
2.3%
84.947 1
2.3%
84.968 1
2.3%
85.391 1
2.3%
85.542 1
2.3%
86.02 1
2.3%
87.41 1
2.3%
ValueCountFrequency (%)
101.531 1
2.3%
97.458 1
2.3%
96.652 1
2.3%
95.763 1
2.3%
95.079 1
2.3%
94.959 1
2.3%
94.907 1
2.3%
93.709 1
2.3%
93.564 1
2.3%
93.359 1
2.3%

2019-06
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean90.191294
Minimum82.055
Maximum100.876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:25.811705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.055
5-th percentile83.5989
Q186.561
median89.419
Q393.575
95-th percentile97.0186
Maximum100.876
Range18.821
Interquartile range (IQR)7.014

Descriptive statistics

Standard deviation4.5267373
Coefficient of variation (CV)0.050190402
Kurtosis-0.50324864
Mean90.191294
Median Absolute Deviation (MAD)3.7175
Skewness0.29087342
Sum3066.504
Variance20.491351
MonotonicityNot monotonic
2023-12-13T01:01:25.971130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
93.647 1
 
2.3%
91.36 1
 
2.3%
89.818 1
 
2.3%
83.348 1
 
2.3%
93.106 1
 
2.3%
88.715 1
 
2.3%
83.734 1
 
2.3%
89.053 1
 
2.3%
93.359 1
 
2.3%
87.903 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.055 1
2.3%
83.348 1
2.3%
83.734 1
2.3%
85.123 1
2.3%
85.267 1
2.3%
85.493 1
2.3%
85.671 1
2.3%
85.863 1
2.3%
86.278 1
2.3%
87.41 1
2.3%
ValueCountFrequency (%)
100.876 1
2.3%
97.445 1
2.3%
96.789 1
2.3%
95.763 1
2.3%
95.376 1
2.3%
95.15 1
2.3%
94.899 1
2.3%
94.027 1
2.3%
93.647 1
2.3%
93.359 1
2.3%

2019-07
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean90.359882
Minimum82.334
Maximum100.511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:26.149504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.334
5-th percentile83.23365
Q186.87025
median89.7
Q393.70175
95-th percentile97.12875
Maximum100.511
Range18.177
Interquartile range (IQR)6.8315

Descriptive statistics

Standard deviation4.5045172
Coefficient of variation (CV)0.049850853
Kurtosis-0.57274091
Mean90.359882
Median Absolute Deviation (MAD)3.776
Skewness0.17629985
Sum3072.236
Variance20.290675
MonotonicityNot monotonic
2023-12-13T01:01:26.310156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
93.763 1
 
2.3%
91.36 1
 
2.3%
90.063 1
 
2.3%
83.619 1
 
2.3%
93.434 1
 
2.3%
88.972 1
 
2.3%
82.334 1
 
2.3%
89.649 1
 
2.3%
93.518 1
 
2.3%
88.213 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.334 1
2.3%
82.518 1
2.3%
83.619 1
2.3%
85.543 1
2.3%
85.554 1
2.3%
85.737 1
2.3%
85.751 1
2.3%
86.249 1
2.3%
86.636 1
2.3%
87.573 1
2.3%
ValueCountFrequency (%)
100.511 1
2.3%
97.327 1
2.3%
97.022 1
2.3%
95.763 1
2.3%
95.514 1
2.3%
95.388 1
2.3%
95.053 1
2.3%
94.334 1
2.3%
93.763 1
2.3%
93.518 1
2.3%

2019-08
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean90.598559
Minimum82.365
Maximum100.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:26.454340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.365
5-th percentile83.77855
Q187.03575
median90.0345
Q393.9925
95-th percentile97.0983
Maximum100.16
Range17.795
Interquartile range (IQR)6.95675

Descriptive statistics

Standard deviation4.3652743
Coefficient of variation (CV)0.048182602
Kurtosis-0.63468543
Mean90.598559
Median Absolute Deviation (MAD)3.642
Skewness0.11057784
Sum3080.351
Variance19.05562
MonotonicityNot monotonic
2023-12-13T01:01:26.620798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.097 1
 
2.3%
91.771 1
 
2.3%
90.288 1
 
2.3%
84.054 1
 
2.3%
93.679 1
 
2.3%
89.274 1
 
2.3%
82.365 1
 
2.3%
90.06 1
 
2.3%
93.674 1
 
2.3%
88.549 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.365 1
2.3%
83.267 1
2.3%
84.054 1
2.3%
85.809 1
2.3%
85.949 1
2.3%
85.959 1
2.3%
86.172 1
2.3%
86.668 1
2.3%
86.82 1
2.3%
87.683 1
2.3%
ValueCountFrequency (%)
100.16 1
2.3%
97.214 1
2.3%
97.036 1
2.3%
95.763 1
2.3%
95.473 1
2.3%
95.472 1
2.3%
94.981 1
2.3%
94.631 1
2.3%
94.097 1
2.3%
93.679 1
2.3%

2019-09
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean90.801971
Minimum82.718
Maximum99.796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:26.811113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.718
5-th percentile84.06225
Q187.58075
median90.1935
Q394.06425
95-th percentile97.1285
Maximum99.796
Range17.078
Interquartile range (IQR)6.4835

Descriptive statistics

Standard deviation4.2311375
Coefficient of variation (CV)0.046597419
Kurtosis-0.65755812
Mean90.801971
Median Absolute Deviation (MAD)3.4745
Skewness0.075179827
Sum3087.267
Variance17.902524
MonotonicityNot monotonic
2023-12-13T01:01:26.976984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.143 1
 
2.3%
92.011 1
 
2.3%
90.477 1
 
2.3%
84.267 1
 
2.3%
93.828 1
 
2.3%
89.599 1
 
2.3%
82.718 1
 
2.3%
90.06 1
 
2.3%
93.47 1
 
2.3%
88.777 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.718 1
2.3%
83.682 1
2.3%
84.267 1
2.3%
86.079 1
2.3%
86.246 1
2.3%
86.284 1
2.3%
86.441 1
2.3%
87.079 1
2.3%
87.182 1
2.3%
88.777 1
2.3%
ValueCountFrequency (%)
99.796 1
2.3%
97.174 1
2.3%
97.104 1
2.3%
96.082 1
2.3%
95.567 1
2.3%
95.531 1
2.3%
94.981 1
2.3%
94.87 1
2.3%
94.143 1
2.3%
93.828 1
2.3%

2019-10
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean91.037118
Minimum82.564
Maximum99.537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:27.154649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.564
5-th percentile84.45455
Q187.9135
median90.597
Q394.41625
95-th percentile97.2135
Maximum99.537
Range16.973
Interquartile range (IQR)6.50275

Descriptive statistics

Standard deviation4.1511904
Coefficient of variation (CV)0.045598878
Kurtosis-0.63632213
Mean91.037118
Median Absolute Deviation (MAD)3.26
Skewness0.014590404
Sum3095.262
Variance17.232382
MonotonicityNot monotonic
2023-12-13T01:01:27.357433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.562 1
 
2.3%
92.011 1
 
2.3%
90.73 1
 
2.3%
84.541 1
 
2.3%
93.979 1
 
2.3%
89.872 1
 
2.3%
82.564 1
 
2.3%
90.437 1
 
2.3%
93.409 1
 
2.3%
88.941 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.564 1
2.3%
84.294 1
2.3%
84.541 1
2.3%
86.349 1
2.3%
86.627 1
2.3%
86.753 1
2.3%
86.789 1
2.3%
87.459 1
2.3%
87.571 1
2.3%
88.941 1
2.3%
ValueCountFrequency (%)
99.537 1
2.3%
97.519 1
2.3%
97.049 1
2.3%
96.257 1
2.3%
95.739 1
2.3%
95.684 1
2.3%
95.084 1
2.3%
94.981 1
2.3%
94.562 1
2.3%
93.979 1
2.3%

2019-11
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean91.244824
Minimum82.901
Maximum99.238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:27.671208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.901
5-th percentile84.94315
Q188.197
median91.095
Q394.46175
95-th percentile97.2339
Maximum99.238
Range16.337
Interquartile range (IQR)6.26475

Descriptive statistics

Standard deviation4.0123854
Coefficient of variation (CV)0.043973842
Kurtosis-0.63906695
Mean91.244824
Median Absolute Deviation (MAD)3.2175
Skewness-0.014035771
Sum3102.324
Variance16.099237
MonotonicityNot monotonic
2023-12-13T01:01:28.103357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.562 1
 
2.3%
92.077 1
 
2.3%
90.985 1
 
2.3%
85.038 1
 
2.3%
94.161 1
 
2.3%
90.048 1
 
2.3%
82.901 1
 
2.3%
91.246 1
 
2.3%
93.409 1
 
2.3%
89.293 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.901 1
2.3%
84.767 1
2.3%
85.038 1
2.3%
86.509 1
2.3%
87.011 1
2.3%
87.144 1
2.3%
87.158 1
2.3%
87.832 1
2.3%
87.923 1
2.3%
89.019 1
2.3%
ValueCountFrequency (%)
99.238 1
2.3%
97.815 1
2.3%
96.921 1
2.3%
96.257 1
2.3%
95.715 1
2.3%
95.713 1
2.3%
95.257 1
2.3%
94.986 1
2.3%
94.562 1
2.3%
94.161 1
2.3%

2019-12
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean91.457353
Minimum82.901
Maximum98.948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:28.292831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.901
5-th percentile85.22895
Q188.3095
median91.411
Q394.60325
95-th percentile97.32
Maximum98.948
Range16.047
Interquartile range (IQR)6.29375

Descriptive statistics

Standard deviation3.9407961
Coefficient of variation (CV)0.043088893
Kurtosis-0.59111299
Mean91.457353
Median Absolute Deviation (MAD)3.326
Skewness-0.074862541
Sum3109.55
Variance15.529874
MonotonicityNot monotonic
2023-12-13T01:01:28.467707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.687 1
 
2.3%
92.388 1
 
2.3%
91.221 1
 
2.3%
85.244 1
 
2.3%
94.352 1
 
2.3%
90.212 1
 
2.3%
82.901 1
 
2.3%
91.689 1
 
2.3%
93.409 1
 
2.3%
89.501 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.901 1
2.3%
85.201 1
2.3%
85.244 1
2.3%
86.661 1
2.3%
87.538 1
2.3%
87.549 1
2.3%
87.702 1
2.3%
88.022 1
2.3%
88.035 1
2.3%
89.133 1
2.3%
ValueCountFrequency (%)
98.948 1
2.3%
98.126 1
2.3%
96.886 1
2.3%
96.561 1
2.3%
95.836 1
2.3%
95.639 1
2.3%
95.458 1
2.3%
95.085 1
2.3%
94.687 1
2.3%
94.352 1
2.3%

2020-01
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean91.666559
Minimum82.901
Maximum98.764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:28.648020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.901
5-th percentile85.75795
Q188.709
median91.582
Q394.7815
95-th percentile97.26975
Maximum98.764
Range15.863
Interquartile range (IQR)6.0725

Descriptive statistics

Standard deviation3.8352918
Coefficient of variation (CV)0.041839596
Kurtosis-0.50132356
Mean91.666559
Median Absolute Deviation (MAD)3.1365
Skewness-0.13929743
Sum3116.663
Variance14.709463
MonotonicityNot monotonic
2023-12-13T01:01:28.806324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.844 1
 
2.3%
92.665 1
 
2.3%
91.368 1
 
2.3%
85.496 1
 
2.3%
94.594 1
 
2.3%
90.428 1
 
2.3%
82.901 1
 
2.3%
92.672 1
 
2.3%
93.079 1
 
2.3%
89.642 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
82.901 1
2.3%
85.496 1
2.3%
85.899 1
2.3%
86.908 1
2.3%
87.943 1
2.3%
87.962 1
2.3%
88.074 1
2.3%
88.361 1
2.3%
88.53 1
2.3%
89.246 1
2.3%
ValueCountFrequency (%)
98.764 1
2.3%
98.183 1
2.3%
96.778 1
2.3%
96.561 1
2.3%
95.989 1
2.3%
95.7 1
2.3%
95.662 1
2.3%
95.049 1
2.3%
94.844 1
2.3%
94.594 1
2.3%

2020-02
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean91.891706
Minimum83.225
Maximum98.485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:28.963315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.225
5-th percentile86.08735
Q189.0665
median91.943
Q394.8785
95-th percentile97.3017
Maximum98.485
Range15.26
Interquartile range (IQR)5.812

Descriptive statistics

Standard deviation3.7264297
Coefficient of variation (CV)0.040552405
Kurtosis-0.46696752
Mean91.891706
Median Absolute Deviation (MAD)3.0115
Skewness-0.18407308
Sum3124.318
Variance13.886278
MonotonicityNot monotonic
2023-12-13T01:01:29.163137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
96.776 2
 
4.7%
93.253 1
 
2.3%
91.652 1
 
2.3%
85.75 1
 
2.3%
94.694 1
 
2.3%
90.865 1
 
2.3%
83.225 1
 
2.3%
94.94 1
 
2.3%
89.905 1
 
2.3%
91.229 1
 
2.3%
Other values (23) 23
53.5%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
83.225 1
2.3%
85.75 1
2.3%
86.269 1
2.3%
87.296 1
2.3%
88.287 1
2.3%
88.425 1
2.3%
88.44 1
2.3%
88.734 1
2.3%
88.917 1
2.3%
89.515 1
2.3%
ValueCountFrequency (%)
98.485 1
2.3%
98.278 1
2.3%
96.776 2
4.7%
96.081 1
2.3%
95.924 1
2.3%
95.684 1
2.3%
95.236 1
2.3%
94.94 1
2.3%
94.694 1
2.3%
94.217 1
2.3%

2020-03
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean92.0365
Minimum83.518
Maximum98.403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:29.367216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.518
5-th percentile86.3581
Q189.37175
median92.1055
Q394.932
95-th percentile97.31815
Maximum98.403
Range14.885
Interquartile range (IQR)5.56025

Descriptive statistics

Standard deviation3.6298963
Coefficient of variation (CV)0.039439748
Kurtosis-0.42624209
Mean92.0365
Median Absolute Deviation (MAD)2.83
Skewness-0.1808102
Sum3129.241
Variance13.176147
MonotonicityNot monotonic
2023-12-13T01:01:29.521237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
94.972 1
 
2.3%
92.711 1
 
2.3%
91.859 1
 
2.3%
86.076 1
 
2.3%
94.812 1
 
2.3%
91.169 1
 
2.3%
83.518 1
 
2.3%
92.796 1
 
2.3%
93.0 1
 
2.3%
90.067 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
83.518 1
2.3%
86.076 1
2.3%
86.51 1
2.3%
87.584 1
2.3%
88.556 1
2.3%
88.77 1
2.3%
88.928 1
2.3%
88.977 1
2.3%
89.312 1
2.3%
89.551 1
2.3%
ValueCountFrequency (%)
98.403 1
2.3%
98.325 1
2.3%
96.776 1
2.3%
96.771 1
2.3%
96.154 1
2.3%
96.081 1
2.3%
95.875 1
2.3%
95.236 1
2.3%
94.972 1
2.3%
94.812 1
2.3%

2020-04
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean92.202618
Minimum83.518
Maximum98.327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:29.658992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.518
5-th percentile86.64365
Q189.6715
median92.287
Q395.08775
95-th percentile97.3898
Maximum98.327
Range14.809
Interquartile range (IQR)5.41625

Descriptive statistics

Standard deviation3.5618956
Coefficient of variation (CV)0.038631177
Kurtosis-0.32734806
Mean92.202618
Median Absolute Deviation (MAD)2.7615
Skewness-0.2471446
Sum3134.889
Variance12.687101
MonotonicityNot monotonic
2023-12-13T01:01:29.828098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.127 1
 
2.3%
92.897 1
 
2.3%
92.012 1
 
2.3%
86.396 1
 
2.3%
94.97 1
 
2.3%
91.475 1
 
2.3%
83.518 1
 
2.3%
93.132 1
 
2.3%
92.848 1
 
2.3%
90.36 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
83.518 1
2.3%
86.396 1
2.3%
86.777 1
2.3%
87.883 1
2.3%
88.804 1
2.3%
89.009 1
2.3%
89.124 1
2.3%
89.345 1
2.3%
89.664 1
2.3%
89.694 1
2.3%
ValueCountFrequency (%)
98.327 1
2.3%
98.123 1
2.3%
96.995 1
2.3%
96.74 1
2.3%
96.36 1
2.3%
96.097 1
2.3%
95.999 1
2.3%
95.236 1
2.3%
95.127 1
2.3%
94.97 1
2.3%

2020-05
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean92.429441
Minimum84.669
Maximum98.386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:29.998450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.669
5-th percentile86.9037
Q189.84925
median92.436
Q395.1815
95-th percentile97.5671
Maximum98.386
Range13.717
Interquartile range (IQR)5.33225

Descriptive statistics

Standard deviation3.4123821
Coefficient of variation (CV)0.036918779
Kurtosis-0.48147467
Mean92.429441
Median Absolute Deviation (MAD)2.7
Skewness-0.15773062
Sum3142.601
Variance11.644352
MonotonicityNot monotonic
2023-12-13T01:01:30.151451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.231 1
 
2.3%
93.147 1
 
2.3%
92.201 1
 
2.3%
86.684 1
 
2.3%
95.033 1
 
2.3%
91.71 1
 
2.3%
84.669 1
 
2.3%
92.675 1
 
2.3%
92.796 1
 
2.3%
91.09 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
84.669 1
2.3%
86.684 1
2.3%
87.022 1
2.3%
88.175 1
2.3%
89.135 1
2.3%
89.311 1
2.3%
89.547 1
2.3%
89.71 1
2.3%
89.762 1
2.3%
90.111 1
2.3%
ValueCountFrequency (%)
98.386 1
2.3%
98.247 1
2.3%
97.201 1
2.3%
96.821 1
2.3%
96.554 1
2.3%
96.114 1
2.3%
96.035 1
2.3%
95.345 1
2.3%
95.231 1
2.3%
95.033 1
2.3%

2020-06
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean92.650382
Minimum85.58
Maximum98.346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:30.324862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.58
5-th percentile87.2599
Q190.1485
median92.543
Q395.362
95-th percentile97.43795
Maximum98.346
Range12.766
Interquartile range (IQR)5.2135

Descriptive statistics

Standard deviation3.2645115
Coefficient of variation (CV)0.035234733
Kurtosis-0.63184107
Mean92.650382
Median Absolute Deviation (MAD)2.609
Skewness-0.13979649
Sum3150.113
Variance10.657035
MonotonicityNot monotonic
2023-12-13T01:01:30.502352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.442 1
 
2.3%
93.437 1
 
2.3%
92.432 1
 
2.3%
86.957 1
 
2.3%
95.122 1
 
2.3%
92.036 1
 
2.3%
85.58 1
 
2.3%
92.858 1
 
2.3%
92.654 1
 
2.3%
91.389 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
85.58 1
2.3%
86.957 1
2.3%
87.423 1
2.3%
88.602 1
2.3%
89.538 1
2.3%
89.658 1
2.3%
89.84 1
2.3%
89.904 1
2.3%
90.062 1
2.3%
90.408 1
2.3%
ValueCountFrequency (%)
98.346 1
2.3%
97.878 1
2.3%
97.201 1
2.3%
96.981 1
2.3%
96.76 1
2.3%
96.196 1
2.3%
96.114 1
2.3%
95.491 1
2.3%
95.442 1
2.3%
95.122 1
2.3%

2020-07
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean92.8865
Minimum85.754
Maximum98.435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:30.665231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.754
5-th percentile87.70805
Q190.6175
median92.635
Q395.42875
95-th percentile97.4593
Maximum98.435
Range12.681
Interquartile range (IQR)4.81125

Descriptive statistics

Standard deviation3.1776585
Coefficient of variation (CV)0.034210122
Kurtosis-0.51392626
Mean92.8865
Median Absolute Deviation (MAD)2.6005
Skewness-0.18979989
Sum3158.141
Variance10.097514
MonotonicityNot monotonic
2023-12-13T01:01:30.850929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.561 1
 
2.3%
93.596 1
 
2.3%
92.624 1
 
2.3%
87.099 1
 
2.3%
95.281 1
 
2.3%
92.37 1
 
2.3%
85.754 1
 
2.3%
93.128 1
 
2.3%
92.646 1
 
2.3%
92.006 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
85.754 1
2.3%
87.099 1
2.3%
88.036 1
2.3%
88.92 1
2.3%
89.85 1
2.3%
90.032 1
2.3%
90.037 1
2.3%
90.27 1
2.3%
90.571 1
2.3%
90.757 1
2.3%
ValueCountFrequency (%)
98.435 1
2.3%
97.939 1
2.3%
97.201 1
2.3%
96.992 1
2.3%
96.972 1
2.3%
96.431 1
2.3%
96.235 1
2.3%
95.561 1
2.3%
95.478 1
2.3%
95.281 1
2.3%

2020-08
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean93.126
Minimum86.128
Maximum98.426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:30.985786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.128
5-th percentile88.28545
Q190.95375
median92.8475
Q395.51375
95-th percentile97.481
Maximum98.426
Range12.298
Interquartile range (IQR)4.56

Descriptive statistics

Standard deviation3.0643694
Coefficient of variation (CV)0.032905627
Kurtosis-0.47290794
Mean93.126
Median Absolute Deviation (MAD)2.511
Skewness-0.21783348
Sum3166.284
Variance9.3903597
MonotonicityNot monotonic
2023-12-13T01:01:31.142271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.705 1
 
2.3%
93.662 1
 
2.3%
92.881 1
 
2.3%
87.445 1
 
2.3%
95.425 1
 
2.3%
92.732 1
 
2.3%
86.128 1
 
2.3%
93.576 1
 
2.3%
92.544 1
 
2.3%
92.55 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
86.128 1
2.3%
87.445 1
2.3%
88.738 1
2.3%
89.173 1
2.3%
90.213 1
2.3%
90.314 1
2.3%
90.359 1
2.3%
90.533 1
2.3%
90.849 1
2.3%
91.268 1
2.3%
ValueCountFrequency (%)
98.426 1
2.3%
98.001 1
2.3%
97.201 1
2.3%
97.056 1
2.3%
97.048 1
2.3%
96.551 1
2.3%
96.399 1
2.3%
95.705 1
2.3%
95.521 1
2.3%
95.492 1
2.3%

2020-09
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean93.370647
Minimum86.685
Maximum98.329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:31.301974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.685
5-th percentile88.80925
Q191.3815
median93.1265
Q395.64925
95-th percentile97.55685
Maximum98.329
Range11.644
Interquartile range (IQR)4.26775

Descriptive statistics

Standard deviation2.9361068
Coefficient of variation (CV)0.031445715
Kurtosis-0.48032354
Mean93.370647
Median Absolute Deviation (MAD)2.398
Skewness-0.23372617
Sum3174.602
Variance8.620723
MonotonicityNot monotonic
2023-12-13T01:01:31.440192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
95.863 1
 
2.3%
93.888 1
 
2.3%
93.049 1
 
2.3%
87.753 1
 
2.3%
95.617 1
 
2.3%
93.017 1
 
2.3%
86.685 1
 
2.3%
93.909 1
 
2.3%
92.448 1
 
2.3%
93.038 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
86.685 1
2.3%
87.753 1
2.3%
89.378 1
2.3%
89.549 1
2.3%
90.577 1
2.3%
90.705 1
2.3%
90.745 1
2.3%
90.787 1
2.3%
91.294 1
2.3%
91.644 1
2.3%
ValueCountFrequency (%)
98.329 1
2.3%
97.967 1
2.3%
97.336 1
2.3%
97.15 1
2.3%
97.092 1
2.3%
96.744 1
2.3%
96.569 1
2.3%
95.863 1
2.3%
95.66 1
2.3%
95.617 1
2.3%

2020-10
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean93.602
Minimum87.221
Maximum98.112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:31.923680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.221
5-th percentile89.36875
Q191.669
median93.4755
Q395.794
95-th percentile97.62115
Maximum98.112
Range10.891
Interquartile range (IQR)4.125

Descriptive statistics

Standard deviation2.7988982
Coefficient of variation (CV)0.029902119
Kurtosis-0.57288019
Mean93.602
Median Absolute Deviation (MAD)2.2845
Skewness-0.23400615
Sum3182.468
Variance7.833831
MonotonicityNot monotonic
2023-12-13T01:01:32.066091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
96.057 1
 
2.3%
94.067 1
 
2.3%
93.231 1
 
2.3%
88.371 1
 
2.3%
95.692 1
 
2.3%
93.187 1
 
2.3%
87.221 1
 
2.3%
94.41 1
 
2.3%
92.433 1
 
2.3%
93.473 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
87.221 1
2.3%
88.371 1
2.3%
89.906 1
2.3%
90.052 1
2.3%
90.841 1
2.3%
91.001 1
2.3%
91.062 1
2.3%
91.106 1
2.3%
91.631 1
2.3%
91.783 1
2.3%
ValueCountFrequency (%)
98.112 1
2.3%
97.9 1
2.3%
97.471 1
2.3%
97.203 1
2.3%
97.053 1
2.3%
96.913 1
2.3%
96.819 1
2.3%
96.057 1
2.3%
95.828 1
2.3%
95.692 1
2.3%

2020-11
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean93.855147
Minimum88.106
Maximum97.935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:32.229333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.106
5-th percentile89.9614
Q191.899
median94.0055
Q395.979
95-th percentile97.73745
Maximum97.935
Range9.829
Interquartile range (IQR)4.08

Descriptive statistics

Standard deviation2.6511494
Coefficient of variation (CV)0.028247246
Kurtosis-0.77579443
Mean93.855147
Median Absolute Deviation (MAD)2.047
Skewness-0.1939306
Sum3191.075
Variance7.0285931
MonotonicityNot monotonic
2023-12-13T01:01:32.374280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
96.074 1
 
2.3%
94.353 1
 
2.3%
93.473 1
 
2.3%
88.963 1
 
2.3%
95.823 1
 
2.3%
93.216 1
 
2.3%
88.106 1
 
2.3%
94.536 1
 
2.3%
92.485 1
 
2.3%
94.057 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
88.106 1
2.3%
88.963 1
2.3%
90.499 1
2.3%
90.511 1
2.3%
91.047 1
2.3%
91.264 1
2.3%
91.341 1
2.3%
91.424 1
2.3%
91.862 1
2.3%
92.01 1
2.3%
ValueCountFrequency (%)
97.935 1
2.3%
97.898 1
2.3%
97.651 1
2.3%
97.279 1
2.3%
97.062 1
2.3%
97.059 1
2.3%
97.009 1
2.3%
96.074 1
2.3%
96.031 1
2.3%
95.823 1
2.3%

2020-12
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean94.145059
Minimum88.679
Maximum97.991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:32.560096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.679
5-th percentile90.4749
Q192.28675
median94.365
Q396.18375
95-th percentile97.77305
Maximum97.991
Range9.312
Interquartile range (IQR)3.897

Descriptive statistics

Standard deviation2.5286301
Coefficient of variation (CV)0.026858872
Kurtosis-0.83510774
Mean94.145059
Median Absolute Deviation (MAD)1.962
Skewness-0.21016894
Sum3200.932
Variance6.3939702
MonotonicityNot monotonic
2023-12-13T01:01:32.685486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
93.745 2
 
4.7%
94.893 1
 
2.3%
94.581 1
 
2.3%
89.496 1
 
2.3%
96.06 1
 
2.3%
93.573 1
 
2.3%
88.679 1
 
2.3%
96.294 1
 
2.3%
94.675 1
 
2.3%
92.478 1
 
2.3%
Other values (23) 23
53.5%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
88.679 1
2.3%
89.496 1
2.3%
91.002 1
2.3%
91.28 1
2.3%
91.341 1
2.3%
91.387 1
2.3%
91.602 1
2.3%
91.846 1
2.3%
92.259 1
2.3%
92.37 1
2.3%
ValueCountFrequency (%)
97.991 1
2.3%
97.879 1
2.3%
97.716 1
2.3%
97.364 1
2.3%
97.26 1
2.3%
97.17 1
2.3%
97.163 1
2.3%
96.294 1
2.3%
96.225 1
2.3%
96.06 1
2.3%

2021-01
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean94.412088
Minimum89.035
Maximum98.043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:32.851122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.035
5-th percentile90.89065
Q192.5385
median94.641
Q396.35625
95-th percentile97.90905
Maximum98.043
Range9.008
Interquartile range (IQR)3.81775

Descriptive statistics

Standard deviation2.4194161
Coefficient of variation (CV)0.025626127
Kurtosis-0.76180841
Mean94.412088
Median Absolute Deviation (MAD)2.005
Skewness-0.2510167
Sum3210.011
Variance5.8535744
MonotonicityNot monotonic
2023-12-13T01:01:32.997880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
96.451 1
 
2.3%
94.771 1
 
2.3%
94.0 1
 
2.3%
89.915 1
 
2.3%
96.18 1
 
2.3%
93.825 1
 
2.3%
89.035 1
 
2.3%
95.265 1
 
2.3%
92.51 1
 
2.3%
95.081 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
89.035 1
2.3%
89.915 1
2.3%
91.416 1
2.3%
91.724 1
2.3%
91.86 1
2.3%
91.868 1
2.3%
91.903 1
2.3%
92.24 1
2.3%
92.51 1
2.3%
92.624 1
2.3%
ValueCountFrequency (%)
98.043 1
2.3%
97.95 1
2.3%
97.887 1
2.3%
97.502 1
2.3%
97.332 1
2.3%
97.275 1
2.3%
97.233 1
2.3%
96.451 1
2.3%
96.415 1
2.3%
96.18 1
2.3%

2021-02
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean94.689882
Minimum89.8
Maximum98.283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:33.126768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.8
5-th percentile91.3041
Q192.67675
median95.0125
Q396.60275
95-th percentile97.96365
Maximum98.283
Range8.483
Interquartile range (IQR)3.926

Descriptive statistics

Standard deviation2.3060366
Coefficient of variation (CV)0.024353569
Kurtosis-0.89658574
Mean94.689882
Median Absolute Deviation (MAD)2.073
Skewness-0.20261908
Sum3219.456
Variance5.3178047
MonotonicityNot monotonic
2023-12-13T01:01:33.274213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
96.72 1
 
2.3%
95.155 1
 
2.3%
94.201 1
 
2.3%
90.489 1
 
2.3%
96.371 1
 
2.3%
94.031 1
 
2.3%
89.8 1
 
2.3%
95.444 1
 
2.3%
92.51 1
 
2.3%
95.475 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
89.8 1
2.3%
90.489 1
2.3%
91.743 1
2.3%
92.098 1
2.3%
92.151 1
2.3%
92.323 1
2.3%
92.382 1
2.3%
92.51 1
2.3%
92.616 1
2.3%
92.859 1
2.3%
ValueCountFrequency (%)
98.283 1
2.3%
98.106 1
2.3%
97.887 1
2.3%
97.594 1
2.3%
97.519 1
2.3%
97.397 1
2.3%
97.373 1
2.3%
96.72 1
2.3%
96.68 1
2.3%
96.371 1
2.3%

2021-03
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean95.009147
Minimum90.367
Maximum98.317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:33.442966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.367
5-th percentile91.82455
Q193.0665
median95.311
Q396.793
95-th percentile98.0676
Maximum98.317
Range7.95
Interquartile range (IQR)3.7265

Descriptive statistics

Standard deviation2.175096
Coefficient of variation (CV)0.022893543
Kurtosis-0.89466791
Mean95.009147
Median Absolute Deviation (MAD)2.0695
Skewness-0.21122209
Sum3230.311
Variance4.7310426
MonotonicityNot monotonic
2023-12-13T01:01:33.580657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
96.922 1
 
2.3%
95.413 1
 
2.3%
94.434 1
 
2.3%
91.04 1
 
2.3%
96.553 1
 
2.3%
94.317 1
 
2.3%
90.367 1
 
2.3%
95.701 1
 
2.3%
92.975 1
 
2.3%
95.774 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
90.367 1
2.3%
91.04 1
2.3%
92.247 1
2.3%
92.447 1
2.3%
92.595 1
2.3%
92.957 1
2.3%
92.975 1
2.3%
93.047 1
2.3%
93.05 1
2.3%
93.116 1
2.3%
ValueCountFrequency (%)
98.317 1
2.3%
98.312 1
2.3%
97.936 1
2.3%
97.735 1
2.3%
97.724 1
2.3%
97.547 1
2.3%
97.527 1
2.3%
96.922 1
2.3%
96.873 1
2.3%
96.553 1
2.3%

2021-04
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean95.298618
Minimum91.3
Maximum98.515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:33.716917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.3
5-th percentile92.2704
Q193.49475
median95.657
Q396.99625
95-th percentile98.1849
Maximum98.515
Range7.215
Interquartile range (IQR)3.5015

Descriptive statistics

Standard deviation2.053365
Coefficient of variation (CV)0.021546639
Kurtosis-1.0239997
Mean95.298618
Median Absolute Deviation (MAD)1.9635
Skewness-0.15725768
Sum3240.153
Variance4.2163076
MonotonicityNot monotonic
2023-12-13T01:01:33.858965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
93.451 2
 
4.7%
94.684 1
 
2.3%
91.48 1
 
2.3%
96.751 1
 
2.3%
94.647 1
 
2.3%
91.3 1
 
2.3%
97.087 1
 
2.3%
95.807 1
 
2.3%
95.514 1
 
2.3%
96.018 1
 
2.3%
Other values (23) 23
53.5%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
91.3 1
2.3%
91.48 1
2.3%
92.696 1
2.3%
92.714 1
2.3%
92.897 1
2.3%
93.17 1
2.3%
93.417 1
2.3%
93.451 2
4.7%
93.626 1
2.3%
93.705 1
2.3%
ValueCountFrequency (%)
98.515 1
2.3%
98.415 1
2.3%
98.061 1
2.3%
97.954 1
2.3%
97.818 1
2.3%
97.718 1
2.3%
97.632 1
2.3%
97.087 1
2.3%
97.078 1
2.3%
96.751 1
2.3%

2021-05
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean95.6375
Minimum92.202
Maximum98.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:33.979465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.202
5-th percentile92.7621
Q193.95725
median95.963
Q397.23825
95-th percentile98.3282
Maximum98.85
Range6.648
Interquartile range (IQR)3.281

Descriptive statistics

Standard deviation1.9078118
Coefficient of variation (CV)0.019948365
Kurtosis-1.0982779
Mean95.6375
Median Absolute Deviation (MAD)1.7615
Skewness-0.10586563
Sum3251.675
Variance3.6397458
MonotonicityNot monotonic
2023-12-13T01:01:34.101526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
97.385 1
 
2.3%
96.064 1
 
2.3%
94.94 1
 
2.3%
92.202 1
 
2.3%
96.889 1
 
2.3%
95.109 1
 
2.3%
92.207 1
 
2.3%
96.038 1
 
2.3%
93.538 1
 
2.3%
96.293 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
92.202 1
2.3%
92.207 1
2.3%
93.061 1
2.3%
93.11 1
2.3%
93.376 1
2.3%
93.538 1
2.3%
93.728 1
2.3%
93.891 1
2.3%
93.911 1
2.3%
94.096 1
2.3%
ValueCountFrequency (%)
98.85 1
2.3%
98.453 1
2.3%
98.261 1
2.3%
97.978 1
2.3%
97.927 1
2.3%
97.911 1
2.3%
97.847 1
2.3%
97.385 1
2.3%
97.298 1
2.3%
97.059 1
2.3%

2021-06
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean95.9605
Minimum92.688
Maximum98.994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:34.231769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.688
5-th percentile93.27895
Q194.386
median96.2605
Q397.485
95-th percentile98.49825
Maximum98.994
Range6.306
Interquartile range (IQR)3.099

Descriptive statistics

Standard deviation1.7927771
Coefficient of variation (CV)0.018682449
Kurtosis-1.1372516
Mean95.9605
Median Absolute Deviation (MAD)1.5695
Skewness-0.11667258
Sum3262.657
Variance3.2140499
MonotonicityNot monotonic
2023-12-13T01:01:34.362018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
97.602 1
 
2.3%
96.352 1
 
2.3%
95.247 1
 
2.3%
92.688 1
 
2.3%
97.118 1
 
2.3%
95.349 1
 
2.3%
92.978 1
 
2.3%
96.408 1
 
2.3%
93.899 1
 
2.3%
96.627 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
92.688 1
2.3%
92.978 1
2.3%
93.441 1
2.3%
93.577 1
2.3%
93.835 1
2.3%
93.899 1
2.3%
94.023 1
2.3%
94.078 1
2.3%
94.345 1
2.3%
94.509 1
2.3%
ValueCountFrequency (%)
98.994 1
2.3%
98.534 1
2.3%
98.479 1
2.3%
98.131 1
2.3%
98.106 1
2.3%
98.022 1
2.3%
97.991 1
2.3%
97.602 1
2.3%
97.516 1
2.3%
97.392 1
2.3%

2021-07
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean96.288588
Minimum93.274
Maximum99.276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:34.504827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.274
5-th percentile93.90285
Q194.76675
median96.54
Q397.808
95-th percentile98.7227
Maximum99.276
Range6.002
Interquartile range (IQR)3.04125

Descriptive statistics

Standard deviation1.70111
Coefficient of variation (CV)0.017666788
Kurtosis-1.1711919
Mean96.288588
Median Absolute Deviation (MAD)1.494
Skewness-0.077734105
Sum3273.812
Variance2.8937753
MonotonicityNot monotonic
2023-12-13T01:01:34.620801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
97.934 1
 
2.3%
96.473 1
 
2.3%
95.663 1
 
2.3%
93.274 1
 
2.3%
97.366 1
 
2.3%
95.761 1
 
2.3%
93.845 1
 
2.3%
96.607 1
 
2.3%
93.947 1
 
2.3%
97.05 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
93.274 1
2.3%
93.845 1
2.3%
93.934 1
2.3%
93.947 1
2.3%
93.957 1
2.3%
94.314 1
2.3%
94.348 1
2.3%
94.435 1
2.3%
94.707 1
2.3%
94.946 1
2.3%
ValueCountFrequency (%)
99.276 1
2.3%
98.815 1
2.3%
98.673 1
2.3%
98.312 1
2.3%
98.207 1
2.3%
98.182 1
2.3%
98.165 1
2.3%
97.934 1
2.3%
97.847 1
2.3%
97.691 1
2.3%

2021-08
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean96.590647
Minimum93.924
Maximum99.113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:34.772779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.924
5-th percentile94.2209
Q195.193
median96.6835
Q398.106
95-th percentile98.801
Maximum99.113
Range5.189
Interquartile range (IQR)2.913

Descriptive statistics

Standard deviation1.5878048
Coefficient of variation (CV)0.016438495
Kurtosis-1.2166716
Mean96.590647
Median Absolute Deviation (MAD)1.5005
Skewness-0.096663295
Sum3284.082
Variance2.5211242
MonotonicityNot monotonic
2023-12-13T01:01:34.915499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.148 1
 
2.3%
96.57 1
 
2.3%
95.982 1
 
2.3%
93.924 1
 
2.3%
97.584 1
 
2.3%
96.016 1
 
2.3%
94.366 1
 
2.3%
96.958 1
 
2.3%
94.258 1
 
2.3%
97.249 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
93.924 1
2.3%
94.152 1
2.3%
94.258 1
2.3%
94.343 1
2.3%
94.366 1
2.3%
94.672 1
2.3%
94.888 1
2.3%
95.038 1
2.3%
95.147 1
2.3%
95.331 1
2.3%
ValueCountFrequency (%)
99.113 1
2.3%
99.009 1
2.3%
98.689 1
2.3%
98.581 1
2.3%
98.489 1
2.3%
98.414 1
2.3%
98.362 1
2.3%
98.241 1
2.3%
98.148 1
2.3%
97.98 1
2.3%

2021-09
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean96.907853
Minimum94.369
Maximum99.306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:35.069453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.369
5-th percentile94.47595
Q195.623
median96.9465
Q398.29275
95-th percentile98.9084
Maximum99.306
Range4.937
Interquartile range (IQR)2.66975

Descriptive statistics

Standard deviation1.4780288
Coefficient of variation (CV)0.015251899
Kurtosis-1.079102
Mean96.907853
Median Absolute Deviation (MAD)1.3705
Skewness-0.14648169
Sum3294.867
Variance2.184569
MonotonicityNot monotonic
2023-12-13T01:01:35.191990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.28 1
 
2.3%
96.878 1
 
2.3%
96.284 1
 
2.3%
94.37 1
 
2.3%
97.706 1
 
2.3%
96.52 1
 
2.3%
95.437 1
 
2.3%
97.236 1
 
2.3%
94.369 1
 
2.3%
97.485 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
94.369 1
2.3%
94.37 1
2.3%
94.533 1
2.3%
94.756 1
2.3%
94.993 1
2.3%
95.38 1
2.3%
95.435 1
2.3%
95.437 1
2.3%
95.556 1
2.3%
95.824 1
2.3%
ValueCountFrequency (%)
99.306 1
2.3%
99.145 1
2.3%
98.781 1
2.3%
98.768 1
2.3%
98.686 1
2.3%
98.572 1
2.3%
98.517 1
2.3%
98.494 1
2.3%
98.297 1
2.3%
98.28 1
2.3%

2021-10
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean97.188029
Minimum94.656
Maximum99.417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:35.318666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.656
5-th percentile94.8412
Q196.0955
median97.228
Q398.557
95-th percentile99.0437
Maximum99.417
Range4.761
Interquartile range (IQR)2.4615

Descriptive statistics

Standard deviation1.3820434
Coefficient of variation (CV)0.014220305
Kurtosis-0.95750022
Mean97.188029
Median Absolute Deviation (MAD)1.238
Skewness-0.18420285
Sum3304.393
Variance1.910044
MonotonicityNot monotonic
2023-12-13T01:01:35.453854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.437 1
 
2.3%
97.174 1
 
2.3%
96.603 1
 
2.3%
94.81 1
 
2.3%
97.851 1
 
2.3%
96.923 1
 
2.3%
95.98 1
 
2.3%
97.411 1
 
2.3%
94.656 1
 
2.3%
97.545 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
94.656 1
2.3%
94.81 1
2.3%
94.858 1
2.3%
95.214 1
2.3%
95.362 1
2.3%
95.744 1
2.3%
95.764 1
2.3%
95.98 1
2.3%
96.0 1
2.3%
96.382 1
2.3%
ValueCountFrequency (%)
99.417 1
2.3%
99.214 1
2.3%
98.952 1
2.3%
98.933 1
2.3%
98.903 1
2.3%
98.855 1
2.3%
98.669 1
2.3%
98.604 1
2.3%
98.597 1
2.3%
98.437 1
2.3%

2021-11
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean97.480529
Minimum95.1
Maximum99.439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:35.588859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.1
5-th percentile95.52135
Q196.609
median97.4435
Q398.67
95-th percentile99.27725
Maximum99.439
Range4.339
Interquartile range (IQR)2.061

Descriptive statistics

Standard deviation1.2502526
Coefficient of variation (CV)0.012825665
Kurtosis-0.92019569
Mean97.480529
Median Absolute Deviation (MAD)1.138
Skewness-0.17610183
Sum3314.338
Variance1.5631317
MonotonicityNot monotonic
2023-12-13T01:01:35.741331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.547 1
 
2.3%
97.475 1
 
2.3%
96.979 1
 
2.3%
95.314 1
 
2.3%
98.048 1
 
2.3%
97.285 1
 
2.3%
96.208 1
 
2.3%
97.623 1
 
2.3%
95.1 1
 
2.3%
97.8 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.1 1
2.3%
95.314 1
2.3%
95.633 1
2.3%
95.645 1
2.3%
95.693 1
2.3%
96.172 1
2.3%
96.208 1
2.3%
96.271 1
2.3%
96.489 1
2.3%
96.969 1
2.3%
ValueCountFrequency (%)
99.439 1
2.3%
99.313 1
2.3%
99.258 1
2.3%
99.11 1
2.3%
99.045 1
2.3%
98.894 1
2.3%
98.838 1
2.3%
98.808 1
2.3%
98.711 1
2.3%
98.547 1
2.3%

2021-12
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean97.782735
Minimum95.516
Maximum99.927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:35.919257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.516
5-th percentile95.7492
Q197.0205
median97.801
Q398.763
95-th percentile99.46895
Maximum99.927
Range4.411
Interquartile range (IQR)1.7425

Descriptive statistics

Standard deviation1.1912901
Coefficient of variation (CV)0.012183031
Kurtosis-0.66366562
Mean97.782735
Median Absolute Deviation (MAD)0.8855
Skewness-0.20160852
Sum3324.613
Variance1.419172
MonotonicityNot monotonic
2023-12-13T01:01:36.039190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.652 1
 
2.3%
97.948 1
 
2.3%
97.271 1
 
2.3%
95.575 1
 
2.3%
98.252 1
 
2.3%
97.623 1
 
2.3%
96.937 1
 
2.3%
97.923 1
 
2.3%
95.516 1
 
2.3%
98.071 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.516 1
2.3%
95.575 1
2.3%
95.843 1
2.3%
96.017 1
2.3%
96.059 1
2.3%
96.579 1
2.3%
96.673 1
2.3%
96.894 1
2.3%
96.937 1
2.3%
97.271 1
2.3%
ValueCountFrequency (%)
99.927 1
2.3%
99.649 1
2.3%
99.372 1
2.3%
99.257 1
2.3%
99.246 1
2.3%
99.104 1
2.3%
99.085 1
2.3%
98.83 1
2.3%
98.8 1
2.3%
98.652 1
2.3%

2022-01
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean98.038882
Minimum95.621
Maximum99.974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:36.174926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.621
5-th percentile96.20215
Q197.34575
median98.094
Q398.87575
95-th percentile99.6108
Maximum99.974
Range4.353
Interquartile range (IQR)1.53

Descriptive statistics

Standard deviation1.1162896
Coefficient of variation (CV)0.011386193
Kurtosis-0.4931336
Mean98.038882
Median Absolute Deviation (MAD)0.786
Skewness-0.31077037
Sum3333.322
Variance1.2461025
MonotonicityNot monotonic
2023-12-13T01:01:36.296544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
98.882 1
 
2.3%
98.282 1
 
2.3%
97.594 1
 
2.3%
96.318 1
 
2.3%
98.411 1
 
2.3%
97.905 1
 
2.3%
97.263 1
 
2.3%
98.43 1
 
2.3%
95.621 1
 
2.3%
98.27 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.621 1
2.3%
95.987 1
2.3%
96.318 1
2.3%
96.413 1
2.3%
96.461 1
2.3%
96.859 1
2.3%
96.996 1
2.3%
97.171 1
2.3%
97.263 1
2.3%
97.594 1
2.3%
ValueCountFrequency (%)
99.974 1
2.3%
99.837 1
2.3%
99.489 1
2.3%
99.44 1
2.3%
99.349 1
2.3%
99.294 1
2.3%
99.191 1
2.3%
98.882 1
2.3%
98.878 1
2.3%
98.869 1
2.3%

2022-02
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean98.290294
Minimum95.743
Maximum100.094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:36.416799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.743
5-th percentile96.61405
Q197.632
median98.3
Q398.972
95-th percentile99.75755
Maximum100.094
Range4.351
Interquartile range (IQR)1.34

Descriptive statistics

Standard deviation1.0491294
Coefficient of variation (CV)0.010673784
Kurtosis-0.21096877
Mean98.290294
Median Absolute Deviation (MAD)0.7215
Skewness-0.40161112
Sum3341.87
Variance1.1006725
MonotonicityNot monotonic
2023-12-13T01:01:36.553664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
99.067 1
 
2.3%
98.356 1
 
2.3%
97.926 1
 
2.3%
96.861 1
 
2.3%
98.576 1
 
2.3%
98.156 1
 
2.3%
97.534 1
 
2.3%
98.647 1
 
2.3%
95.743 1
 
2.3%
98.586 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.743 1
2.3%
96.486 1
2.3%
96.683 1
2.3%
96.861 1
2.3%
96.906 1
2.3%
97.147 1
2.3%
97.19 1
2.3%
97.469 1
2.3%
97.534 1
2.3%
97.926 1
2.3%
ValueCountFrequency (%)
100.094 1
2.3%
99.974 1
2.3%
99.641 1
2.3%
99.613 1
2.3%
99.568 1
2.3%
99.425 1
2.3%
99.333 1
2.3%
99.067 1
2.3%
98.977 1
2.3%
98.957 1
2.3%

2022-03
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean98.525441
Minimum95.991
Maximum100.414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:36.667143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.991
5-th percentile96.8892
Q197.97975
median98.5535
Q399.192
95-th percentile99.8174
Maximum100.414
Range4.423
Interquartile range (IQR)1.21225

Descriptive statistics

Standard deviation0.99414877
Coefficient of variation (CV)0.010090275
Kurtosis0.13886335
Mean98.525441
Median Absolute Deviation (MAD)0.666
Skewness-0.53804163
Sum3349.865
Variance0.98833177
MonotonicityNot monotonic
2023-12-13T01:01:36.803967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
99.272 1
 
2.3%
98.74 1
 
2.3%
98.288 1
 
2.3%
97.156 1
 
2.3%
98.772 1
 
2.3%
98.366 1
 
2.3%
97.877 1
 
2.3%
98.893 1
 
2.3%
95.991 1
 
2.3%
98.857 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.991 1
2.3%
96.637 1
2.3%
97.025 1
2.3%
97.156 1
2.3%
97.406 1
2.3%
97.417 1
2.3%
97.432 1
2.3%
97.77 1
2.3%
97.877 1
2.3%
98.288 1
2.3%
ValueCountFrequency (%)
100.414 1
2.3%
99.82 1
2.3%
99.816 1
2.3%
99.763 1
2.3%
99.624 1
2.3%
99.581 1
2.3%
99.342 1
2.3%
99.272 1
2.3%
99.209 1
2.3%
99.141 1
2.3%

2022-04
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean98.797853
Minimum94.791
Maximum100.812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:36.941588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.791
5-th percentile97.5729
Q198.5575
median98.8065
Q399.43825
95-th percentile99.98825
Maximum100.812
Range6.021
Interquartile range (IQR)0.88075

Descriptive statistics

Standard deviation1.047033
Coefficient of variation (CV)0.01059773
Kurtosis5.5283842
Mean98.797853
Median Absolute Deviation (MAD)0.601
Skewness-1.5754717
Sum3359.127
Variance1.0962781
MonotonicityNot monotonic
2023-12-13T01:01:37.068621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
99.541 1
 
2.3%
99.021 1
 
2.3%
98.714 1
 
2.3%
97.617 1
 
2.3%
99.011 1
 
2.3%
98.729 1
 
2.3%
98.523 1
 
2.3%
99.146 1
 
2.3%
94.791 1
 
2.3%
99.041 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
94.791 1
2.3%
97.491 1
2.3%
97.617 1
2.3%
97.784 1
2.3%
97.801 1
2.3%
97.806 1
2.3%
97.829 1
2.3%
98.123 1
2.3%
98.523 1
2.3%
98.661 1
2.3%
ValueCountFrequency (%)
100.812 1
2.3%
100.102 1
2.3%
99.927 1
2.3%
99.908 1
2.3%
99.743 1
2.3%
99.696 1
2.3%
99.541 1
2.3%
99.522 1
2.3%
99.469 1
2.3%
99.346 1
2.3%

2022-05
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean99.107059
Minimum95.182
Maximum101.253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:37.190662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.182
5-th percentile98.06475
Q198.89775
median99.1575
Q399.69125
95-th percentile100.1605
Maximum101.253
Range6.071
Interquartile range (IQR)0.7935

Descriptive statistics

Standard deviation0.99552824
Coefficient of variation (CV)0.010044978
Kurtosis6.689565
Mean99.107059
Median Absolute Deviation (MAD)0.5
Skewness-1.6327442
Sum3369.64
Variance0.99107648
MonotonicityNot monotonic
2023-12-13T01:01:37.595772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
99.804 1
 
2.3%
99.285 1
 
2.3%
99.026 1
 
2.3%
98.179 1
 
2.3%
99.275 1
 
2.3%
98.967 1
 
2.3%
99.079 1
 
2.3%
99.365 1
 
2.3%
95.182 1
 
2.3%
99.257 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.182 1
2.3%
97.873 1
2.3%
98.168 1
2.3%
98.179 1
2.3%
98.241 1
2.3%
98.272 1
2.3%
98.28 1
2.3%
98.557 1
2.3%
98.885 1
2.3%
98.936 1
2.3%
ValueCountFrequency (%)
101.253 1
2.3%
100.323 1
2.3%
100.073 1
2.3%
100.049 1
2.3%
99.986 1
2.3%
99.932 1
2.3%
99.878 1
2.3%
99.804 1
2.3%
99.725 1
2.3%
99.59 1
2.3%

2022-06
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean99.378441
Minimum95.515
Maximum101.523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:37.696743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.515
5-th percentile98.37115
Q199.1335
median99.4245
Q399.9835
95-th percentile100.337
Maximum101.523
Range6.008
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.96123611
Coefficient of variation (CV)0.0096724813
Kurtosis7.4539464
Mean99.378441
Median Absolute Deviation (MAD)0.458
Skewness-1.7054921
Sum3378.867
Variance0.92397486
MonotonicityNot monotonic
2023-12-13T01:01:37.811699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
99.904 1
 
2.3%
99.66 1
 
2.3%
99.176 1
 
2.3%
98.477 1
 
2.3%
99.433 1
 
2.3%
99.264 1
 
2.3%
100.01 1
 
2.3%
99.515 1
 
2.3%
95.515 1
 
2.3%
99.456 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.515 1
2.3%
98.234 1
2.3%
98.445 1
2.3%
98.477 1
2.3%
98.542 1
2.3%
98.695 1
2.3%
98.792 1
2.3%
98.988 1
2.3%
99.133 1
2.3%
99.135 1
2.3%
ValueCountFrequency (%)
101.523 1
2.3%
100.558 1
2.3%
100.218 1
2.3%
100.184 1
2.3%
100.171 1
2.3%
100.166 1
2.3%
100.129 1
2.3%
100.09 1
2.3%
100.01 1
2.3%
99.904 1
2.3%

2022-07
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean99.617529
Minimum95.533
Maximum101.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:37.921344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.533
5-th percentile98.6953
Q199.38275
median99.622
Q3100.015
95-th percentile100.72625
Maximum101.83
Range6.297
Interquartile range (IQR)0.63225

Descriptive statistics

Standard deviation0.97436858
Coefficient of variation (CV)0.0097810956
Kurtosis9.2019778
Mean99.617529
Median Absolute Deviation (MAD)0.348
Skewness-1.9294778
Sum3386.996
Variance0.94939414
MonotonicityNot monotonic
2023-12-13T01:01:38.028709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
100.026 1
 
2.3%
99.942 1
 
2.3%
99.448 1
 
2.3%
98.799 1
 
2.3%
99.562 1
 
2.3%
99.636 1
 
2.3%
100.283 1
 
2.3%
99.958 1
 
2.3%
95.533 1
 
2.3%
99.588 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.533 1
2.3%
98.564 1
2.3%
98.766 1
2.3%
98.799 1
2.3%
98.871 1
2.3%
98.998 1
2.3%
99.104 1
2.3%
99.341 1
2.3%
99.374 1
2.3%
99.409 1
2.3%
ValueCountFrequency (%)
101.83 1
2.3%
100.749 1
2.3%
100.714 1
2.3%
100.537 1
2.3%
100.372 1
2.3%
100.292 1
2.3%
100.283 1
2.3%
100.275 1
2.3%
100.026 1
2.3%
99.982 1
2.3%

2022-08
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean99.860294
Minimum95.679
Maximum101.994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:38.146507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.679
5-th percentile99.03695
Q199.62475
median99.8535
Q3100.3295
95-th percentile101.10115
Maximum101.994
Range6.315
Interquartile range (IQR)0.70475

Descriptive statistics

Standard deviation0.97423019
Coefficient of variation (CV)0.0097559315
Kurtosis10.204403
Mean99.860294
Median Absolute Deviation (MAD)0.3385
Skewness-2.0833254
Sum3395.25
Variance0.94912446
MonotonicityNot monotonic
2023-12-13T01:01:38.256330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
100.247 1
 
2.3%
100.129 1
 
2.3%
99.664 1
 
2.3%
99.101 1
 
2.3%
99.642 1
 
2.3%
99.925 1
 
2.3%
100.455 1
 
2.3%
100.137 1
 
2.3%
95.679 1
 
2.3%
99.882 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
95.679 1
2.3%
98.918 1
2.3%
99.101 1
2.3%
99.11 1
2.3%
99.135 1
2.3%
99.415 1
2.3%
99.451 1
2.3%
99.606 1
2.3%
99.619 1
2.3%
99.642 1
2.3%
ValueCountFrequency (%)
101.994 1
2.3%
101.107 1
2.3%
101.098 1
2.3%
100.849 1
2.3%
100.487 1
2.3%
100.455 1
2.3%
100.433 1
2.3%
100.43 1
2.3%
100.357 1
2.3%
100.247 1
2.3%

2022-09
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean100.03762
Minimum96.034
Maximum102.006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:38.371652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.034
5-th percentile99.28865
Q199.79175
median99.9635
Q3100.45125
95-th percentile101.20955
Maximum102.006
Range5.972
Interquartile range (IQR)0.6595

Descriptive statistics

Standard deviation0.91848027
Coefficient of variation (CV)0.0091813489
Kurtosis10.901989
Mean100.03762
Median Absolute Deviation (MAD)0.3745
Skewness-2.2146068
Sum3401.279
Variance0.843606
MonotonicityNot monotonic
2023-12-13T01:01:38.513628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
100.434 1
 
2.3%
100.272 1
 
2.3%
99.889 1
 
2.3%
99.572 1
 
2.3%
99.778 1
 
2.3%
100.144 1
 
2.3%
100.457 1
 
2.3%
100.427 1
 
2.3%
96.034 1
 
2.3%
100.018 1
 
2.3%
Other values (24) 24
55.8%
(Missing) 9
 
20.9%
ValueCountFrequency (%)
96.034 1
2.3%
99.223 1
2.3%
99.324 1
2.3%
99.337 1
2.3%
99.572 1
2.3%
99.606 1
2.3%
99.681 1
2.3%
99.687 1
2.3%
99.778 1
2.3%
99.833 1
2.3%
ValueCountFrequency (%)
102.006 1
2.3%
101.244 1
2.3%
101.191 1
2.3%
100.926 1
2.3%
100.571 1
2.3%
100.567 1
2.3%
100.559 1
2.3%
100.546 1
2.3%
100.457 1
2.3%
100.434 1
2.3%

2022-10
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.04005
Minimum96.878
Maximum102.004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:38.667172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.878
5-th percentile99.3676
Q199.723
median99.976
Q3100.4425
95-th percentile101.0753
Maximum102.004
Range5.126
Interquartile range (IQR)0.7195

Descriptive statistics

Standard deviation0.75026614
Coefficient of variation (CV)0.0074996581
Kurtosis7.3735398
Mean100.04005
Median Absolute Deviation (MAD)0.381
Skewness-1.2108862
Sum4301.722
Variance0.56289928
MonotonicityNot monotonic
2023-12-13T01:01:38.930315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
100.057 2
 
4.7%
99.367 1
 
2.3%
99.678 1
 
2.3%
100.348 1
 
2.3%
99.735 1
 
2.3%
99.956 1
 
2.3%
99.528 1
 
2.3%
100.3 1
 
2.3%
100.524 1
 
2.3%
100.357 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
96.878 1
2.3%
99.307 1
2.3%
99.367 1
2.3%
99.373 1
2.3%
99.404 1
2.3%
99.445 1
2.3%
99.457 1
2.3%
99.528 1
2.3%
99.587 1
2.3%
99.678 1
2.3%
ValueCountFrequency (%)
102.004 1
2.3%
101.446 1
2.3%
101.107 1
2.3%
100.79 1
2.3%
100.71 1
2.3%
100.664 1
2.3%
100.569 1
2.3%
100.524 1
2.3%
100.512 1
2.3%
100.459 1
2.3%

2022-11
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.03465
Minimum97.213
Maximum102.004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:39.101675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.213
5-th percentile99.4771
Q199.737
median99.954
Q3100.3905
95-th percentile100.8496
Maximum102.004
Range4.791
Interquartile range (IQR)0.6535

Descriptive statistics

Standard deviation0.67910217
Coefficient of variation (CV)0.0067886693
Kurtosis7.7991845
Mean100.03465
Median Absolute Deviation (MAD)0.328
Skewness-0.86759891
Sum4301.49
Variance0.46117976
MonotonicityNot monotonic
2023-12-13T01:01:39.351589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
99.396 1
 
2.3%
99.697 1
 
2.3%
99.878 1
 
2.3%
100.055 1
 
2.3%
99.852 1
 
2.3%
99.857 1
 
2.3%
99.528 1
 
2.3%
100.338 1
 
2.3%
100.52 1
 
2.3%
100.388 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
97.213 1
2.3%
99.396 1
2.3%
99.477 1
2.3%
99.478 1
2.3%
99.528 1
2.3%
99.621 1
2.3%
99.624 1
2.3%
99.626 1
2.3%
99.697 1
2.3%
99.713 1
2.3%
ValueCountFrequency (%)
102.004 1
2.3%
101.562 1
2.3%
100.866 1
2.3%
100.702 1
2.3%
100.524 1
2.3%
100.52 1
2.3%
100.463 1
2.3%
100.441 1
2.3%
100.42 1
2.3%
100.414 1
2.3%

2022-12
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.01916
Minimum97.607
Maximum101.578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:39.484833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.607
5-th percentile99.5635
Q199.747
median100.021
Q3100.309
95-th percentile100.6978
Maximum101.578
Range3.971
Interquartile range (IQR)0.562

Descriptive statistics

Standard deviation0.54799513
Coefficient of variation (CV)0.0054789014
Kurtosis9.2939748
Mean100.01916
Median Absolute Deviation (MAD)0.276
Skewness-1.4063838
Sum4300.824
Variance0.30029866
MonotonicityNot monotonic
2023-12-13T01:01:39.654248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
100.322 2
 
4.7%
99.927 2
 
4.7%
99.521 1
 
2.3%
100.134 1
 
2.3%
100.053 1
 
2.3%
99.936 1
 
2.3%
99.94 1
 
2.3%
99.664 1
 
2.3%
100.45 1
 
2.3%
100.348 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
97.607 1
2.3%
99.521 1
2.3%
99.563 1
2.3%
99.568 1
2.3%
99.624 1
2.3%
99.626 1
2.3%
99.664 1
2.3%
99.713 1
2.3%
99.735 1
2.3%
99.745 1
2.3%
ValueCountFrequency (%)
101.578 1
2.3%
100.914 1
2.3%
100.711 1
2.3%
100.579 1
2.3%
100.45 1
2.3%
100.431 1
2.3%
100.372 1
2.3%
100.348 1
2.3%
100.322 2
4.7%
100.312 1
2.3%

2023-01
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.989628
Minimum98.091
Maximum101.423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:39.819436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.091
5-th percentile99.5785
Q199.75
median100.02
Q3100.165
95-th percentile100.4752
Maximum101.423
Range3.332
Interquartile range (IQR)0.415

Descriptive statistics

Standard deviation0.4616536
Coefficient of variation (CV)0.0046170149
Kurtosis7.722515
Mean99.989628
Median Absolute Deviation (MAD)0.214
Skewness-0.82894061
Sum4299.554
Variance0.21312405
MonotonicityNot monotonic
2023-12-13T01:01:40.016540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
99.913 2
 
4.7%
99.578 1
 
2.3%
100.028 1
 
2.3%
99.81 1
 
2.3%
100.02 1
 
2.3%
100.004 1
 
2.3%
99.664 1
 
2.3%
100.186 1
 
2.3%
100.45 1
 
2.3%
100.32 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
98.091 1
2.3%
99.572 1
2.3%
99.578 1
2.3%
99.583 1
2.3%
99.626 1
2.3%
99.627 1
2.3%
99.664 1
2.3%
99.672 1
2.3%
99.713 1
2.3%
99.725 1
2.3%
ValueCountFrequency (%)
101.423 1
2.3%
100.848 1
2.3%
100.478 1
2.3%
100.45 1
2.3%
100.432 1
2.3%
100.337 1
2.3%
100.32 1
2.3%
100.293 1
2.3%
100.254 1
2.3%
100.204 1
2.3%

2023-02
Real number (ℝ)

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.957465
Minimum98.394
Maximum101.332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:40.209866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.394
5-th percentile99.5861
Q199.7925
median100.004
Q3100.093
95-th percentile100.3549
Maximum101.332
Range2.938
Interquartile range (IQR)0.3005

Descriptive statistics

Standard deviation0.39450314
Coefficient of variation (CV)0.0039467102
Kurtosis8.0585101
Mean99.957465
Median Absolute Deviation (MAD)0.181
Skewness-0.38211101
Sum4298.171
Variance0.15563273
MonotonicityNot monotonic
2023-12-13T01:01:40.353014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
100.031 2
 
4.7%
99.578 1
 
2.3%
99.793 1
 
2.3%
99.808 1
 
2.3%
100.004 1
 
2.3%
99.893 1
 
2.3%
99.679 1
 
2.3%
100.107 1
 
2.3%
100.357 1
 
2.3%
100.281 1
 
2.3%
Other values (32) 32
74.4%
ValueCountFrequency (%)
98.394 1
2.3%
99.578 1
2.3%
99.583 1
2.3%
99.614 1
2.3%
99.63 1
2.3%
99.673 1
2.3%
99.679 1
2.3%
99.708 1
2.3%
99.741 1
2.3%
99.745 1
2.3%
ValueCountFrequency (%)
101.332 1
2.3%
100.661 1
2.3%
100.357 1
2.3%
100.336 1
2.3%
100.281 1
2.3%
100.252 1
2.3%
100.186 1
2.3%
100.185 1
2.3%
100.119 1
2.3%
100.107 1
2.3%

2023-03
Real number (ℝ)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.948326
Minimum98.735
Maximum101.279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:40.569665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.735
5-th percentile99.6764
Q199.797
median99.965
Q3100.0645
95-th percentile100.2514
Maximum101.279
Range2.544
Interquartile range (IQR)0.2675

Descriptive statistics

Standard deviation0.33024563
Coefficient of variation (CV)0.0033041637
Kurtosis9.3667153
Mean99.948326
Median Absolute Deviation (MAD)0.14
Skewness0.45516402
Sum4297.778
Variance0.10906218
MonotonicityNot monotonic
2023-12-13T01:01:40.785239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
100.121 2
 
4.7%
99.965 2
 
4.7%
99.999 2
 
4.7%
99.704 1
 
2.3%
99.736 1
 
2.3%
99.996 1
 
2.3%
99.914 1
 
2.3%
99.674 1
 
2.3%
100.054 1
 
2.3%
100.142 1
 
2.3%
Other values (30) 30
69.8%
ValueCountFrequency (%)
98.735 1
2.3%
99.602 1
2.3%
99.674 1
2.3%
99.698 1
2.3%
99.704 1
2.3%
99.708 1
2.3%
99.716 1
2.3%
99.726 1
2.3%
99.736 1
2.3%
99.791 1
2.3%
ValueCountFrequency (%)
101.279 1
2.3%
100.501 1
2.3%
100.263 1
2.3%
100.147 1
2.3%
100.142 1
2.3%
100.121 2
4.7%
100.116 1
2.3%
100.09 1
2.3%
100.075 1
2.3%
100.071 1
2.3%

2023-04
Real number (ℝ)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.933326
Minimum99.398
Maximum100.536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:40.965728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.398
5-th percentile99.6279
Q199.85
median99.965
Q3100.0225
95-th percentile100.1283
Maximum100.536
Range1.138
Interquartile range (IQR)0.1725

Descriptive statistics

Standard deviation0.18495285
Coefficient of variation (CV)0.0018507625
Kurtosis3.1930811
Mean99.933326
Median Absolute Deviation (MAD)0.077
Skewness-0.14293467
Sum4297.133
Variance0.034207558
MonotonicityNot monotonic
2023-12-13T01:01:41.140828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
99.965 2
 
4.7%
99.85 2
 
4.7%
100.038 2
 
4.7%
99.775 1
 
2.3%
99.51 1
 
2.3%
100.012 1
 
2.3%
100.009 1
 
2.3%
99.821 1
 
2.3%
100.054 1
 
2.3%
99.915 1
 
2.3%
Other values (30) 30
69.8%
ValueCountFrequency (%)
99.398 1
2.3%
99.51 1
2.3%
99.621 1
2.3%
99.69 1
2.3%
99.726 1
2.3%
99.728 1
2.3%
99.775 1
2.3%
99.812 1
2.3%
99.821 1
2.3%
99.831 1
2.3%
ValueCountFrequency (%)
100.536 1
2.3%
100.21 1
2.3%
100.133 1
2.3%
100.086 1
2.3%
100.059 1
2.3%
100.054 1
2.3%
100.053 1
2.3%
100.052 1
2.3%
100.038 2
4.7%
100.023 1
2.3%

2023-05
Real number (ℝ)

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.95886
Minimum99.531
Maximum100.201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:41.296744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.531
5-th percentile99.6643
Q199.937
median100
Q3100.0105
95-th percentile100.0704
Maximum100.201
Range0.67
Interquartile range (IQR)0.0735

Descriptive statistics

Standard deviation0.12560607
Coefficient of variation (CV)0.0012565777
Kurtosis4.4797988
Mean99.95886
Median Absolute Deviation (MAD)0.026
Skewness-1.8169999
Sum4298.231
Variance0.015776885
MonotonicityNot monotonic
2023-12-13T01:01:41.456449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
100.0 5
 
11.6%
100.008 3
 
7.0%
99.775 1
 
2.3%
99.882 1
 
2.3%
100.018 1
 
2.3%
100.02 1
 
2.3%
99.954 1
 
2.3%
100.002 1
 
2.3%
99.979 1
 
2.3%
100.151 1
 
2.3%
Other values (27) 27
62.8%
ValueCountFrequency (%)
99.531 1
2.3%
99.579 1
2.3%
99.652 1
2.3%
99.775 1
2.3%
99.843 1
2.3%
99.882 1
2.3%
99.885 1
2.3%
99.907 1
2.3%
99.911 1
2.3%
99.922 1
2.3%
ValueCountFrequency (%)
100.201 1
2.3%
100.151 1
2.3%
100.072 1
2.3%
100.056 1
2.3%
100.036 1
2.3%
100.026 1
2.3%
100.025 1
2.3%
100.02 1
2.3%
100.019 1
2.3%
100.018 1
2.3%

2023-06
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
100
43 

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 43
100.0%

Length

2023-12-13T01:01:41.629748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:01:41.773569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 43
100.0%

2023-07
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.00895
Minimum99.722
Maximum100.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T01:01:41.919172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.722
5-th percentile99.8235
Q199.9735
median100.004
Q3100.048
95-th percentile100.1657
Maximum100.32
Range0.598
Interquartile range (IQR)0.0745

Descriptive statistics

Standard deviation0.10645745
Coefficient of variation (CV)0.0010644792
Kurtosis2.4042782
Mean100.00895
Median Absolute Deviation (MAD)0.042
Skewness-0.083323927
Sum4300.385
Variance0.011333188
MonotonicityNot monotonic
2023-12-13T01:01:42.192035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
100.0 3
 
7.0%
99.722 1
 
2.3%
99.943 1
 
2.3%
99.978 1
 
2.3%
100.019 1
 
2.3%
100.001 1
 
2.3%
100.116 1
 
2.3%
100.12 1
 
2.3%
99.987 1
 
2.3%
99.917 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
99.722 1
2.3%
99.742 1
2.3%
99.815 1
2.3%
99.9 1
2.3%
99.917 1
2.3%
99.919 1
2.3%
99.93 1
2.3%
99.938 1
2.3%
99.943 1
2.3%
99.962 1
2.3%
ValueCountFrequency (%)
100.32 1
2.3%
100.22 1
2.3%
100.17 1
2.3%
100.127 1
2.3%
100.12 1
2.3%
100.116 1
2.3%
100.115 1
2.3%
100.092 1
2.3%
100.059 1
2.3%
100.056 1
2.3%

Sample

시도2014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-07
0서울수서역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.36799.39699.52199.57899.57899.70499.77599.77510099.722
1경기평택지제역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.37399.69799.74599.74599.74599.72699.72699.652100100.0
2강원강릉역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>86.25286.40786.90187.27387.41487.47687.66887.80787.83188.02188.16788.36488.5888.68188.86989.07689.14289.34989.46589.55989.66789.96890.12790.32190.43590.60890.6790.81190.94791.21691.4191.5191.6591.78392.0192.3792.62492.85993.11693.41793.72894.02394.34894.67294.99395.36295.69396.05996.41396.68397.02597.49197.87398.23498.56498.91899.22399.45799.62199.74899.80699.79899.85899.86599.922100100.05
3강원둔내역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>91.81991.98892.39692.71692.80593.22193.72893.72894.02593.70393.70393.70394.26594.33994.56694.83694.95995.1595.38895.47295.53195.68495.71395.83695.98996.08196.08196.09796.11496.11496.23596.39996.56996.81997.00997.16397.23397.37397.54797.71897.92798.13198.16598.41498.57298.66998.80898.8398.86998.9599.12299.19299.34699.41699.60899.79199.88599.951100.014100.055100.086100.036100.04399.986100.00410099.969
4강원평창역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>93.77493.77494.03794.03794.34694.75194.75194.75194.75195.23695.23694.97394.97394.97394.97395.50595.76395.76395.76395.76396.08296.25796.25796.56196.56196.77696.77696.99597.20197.20197.20197.20197.33697.47197.65197.71697.9598.10698.31298.51598.8598.99499.27699.11399.30699.41799.43999.92799.97499.97499.58199.69699.986100.12999.67999.82599.91599.84999.932100.021100.021100.021100.03599.98100.003100100.025
5부산구포역76.15576.41776.52476.59976.72576.84276.91577.08177.25377.52877.7577.82878.05678.21778.36878.61279.01179.10279.15779.35679.30779.5179.67679.91580.19580.38280.58480.79281.0381.4381.86782.13682.49182.84383.07783.33583.68383.94984.16984.33384.6985.15485.41685.72586.11586.51287.0287.35987.50887.96188.06688.32488.58889.12189.39489.48989.75190.00990.21890.46490.67390.92191.15591.39591.61291.78191.89392.00292.20992.4692.78493.0493.46593.74594.07294.38394.65994.94895.39195.83596.17196.49196.80997.11897.41297.68297.95298.19298.42798.73899.02599.28599.54199.73199.84299.976100.01299.93299.91399.91799.92199.93299.959100100.004
6경북김천구미역81.20582.46382.46382.7282.7282.95183.30784.6284.80384.80384.30484.30485.12585.27585.4885.75785.95986.11486.52286.70387.50288.13388.13388.13388.21988.48988.48988.82689.16489.3989.64989.97190.12790.32390.40690.72190.8191.13891.28791.53391.76992.0292.29992.69892.81892.95892.95892.8293.19893.8694.15994.39694.53994.77994.90794.89995.05394.98194.98194.98194.98695.08595.04995.23695.23695.23695.34595.49195.47895.52195.54195.56695.64795.77795.78895.86196.29196.32296.696.86297.05897.17597.38897.53897.67197.94198.09798.35298.62398.79598.99799.13399.34199.61999.83399.86399.91199.98799.98799.99999.99999.99100.0100100.0
7대전대전역79.07979.09579.14779.14779.14279.21379.32379.28279.19579.22779.18579.18679.28579.59979.6579.73479.88680.080.23480.44580.53280.6180.69980.79380.80380.8781.07681.20381.23581.37881.40481.49781.96382.11882.18482.00381.97482.66182.65282.78882.9683.06983.27983.38283.55483.8584.10284.15684.29384.5384.56984.785.06685.25485.39185.49385.75185.94986.07986.34986.50986.66186.90887.29687.58487.88388.17588.60288.9289.17389.54990.05290.49991.00291.41691.74392.24792.71493.1193.57793.95794.34394.75695.21495.64596.01796.46196.90697.40697.82998.27298.69599.10499.45199.68199.76499.75399.73599.72599.74199.79899.8599.95100100.22
8대구동대구역61.43161.73462.04162.19662.57462.96163.18863.38363.50363.72263.97464.16164.45464.72864.93665.24665.41865.71566.06266.2766.47566.77967.11667.25867.64467.94368.2168.50968.99969.35669.61670.07370.36470.81471.22371.50572.14172.51672.96773.17373.82474.38474.88275.34276.02876.29476.95677.50678.22278.73179.23579.6480.14280.71481.35482.05582.51883.26783.68284.29484.76785.20185.89986.26986.5186.77787.02287.42388.03688.73889.37889.90690.51191.2891.8692.38293.04793.62694.30794.85295.16895.78696.38696.79397.12197.33697.69898.17198.35898.73199.06499.31999.53999.939100.194100.327100.327100.306100.13199.84299.69899.69100.02610099.919
9경남밀양역86.50886.62886.67586.76186.85386.88786.89486.91286.99887.04587.17387.25687.39187.49987.6187.70687.8488.17788.34588.39288.45188.54488.72788.86888.96989.07789.19789.31889.45789.67289.8890.40390.5890.8491.09991.40191.80892.02792.62592.97193.36493.81594.10894.41894.67994.94295.07395.36895.1195.62595.86596.05496.2396.43196.65296.78997.02297.03697.17497.51997.81598.12698.18398.27898.32598.32798.24797.87897.93998.00197.96797.997.89897.99198.04398.28398.31798.41598.45398.53498.67398.68998.78198.85598.89499.10499.19199.33399.34299.46999.5999.6999.72999.80899.93899.9699.954100.043100.043100.053100.058100.038100.0100100.0
시도2014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-07
33충북오송역68.90268.64668.76569.26369.62769.43269.7870.01370.60470.3870.56971.00871.00871.00871.0771.18471.18471.21771.33671.46871.58772.12772.75473.11473.2573.36273.41573.22673.97374.33575.32276.13676.93677.05477.31377.177.49277.49277.5477.55777.82877.88578.25278.59979.38180.28280.28281.0782.53282.53282.53282.53282.61183.03283.73483.73482.33482.36582.71882.56482.90182.90182.90183.22583.51883.51884.66985.5885.75486.12886.68587.22188.10688.67989.03589.890.36791.392.20792.97893.84594.36695.43795.9896.20896.93797.26397.53497.87798.52399.079100.01100.283100.455100.457100.134100.134100.134100.028100.02899.96599.965100.05610099.943
34충북충주역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.44599.72199.82399.75599.79299.79699.8599.88510099.982
35충남계룡역85.59385.59385.62585.65585.76585.95586.07686.10286.49286.29186.37286.40886.26886.27386.4386.58186.6186.64286.68286.59286.25586.15286.19586.53987.20887.48387.77188.07388.16688.16688.33788.37588.65988.86389.13189.30889.77190.02690.08690.28990.29890.93491.17791.60692.01392.08192.24992.71792.76992.93392.93392.9593.07593.23293.56493.64793.76394.09794.14394.56294.56294.68794.84494.9494.97295.12795.23195.44295.56195.70595.86396.05796.07496.29496.45196.7296.92297.08797.38597.60297.93498.14898.2898.43798.54798.65298.88299.06799.27299.54199.80499.904100.026100.247100.434100.427100.441100.288100.122100.00999.97399.889100.00810099.988
36광주광주송정역63.81163.9663.99764.17464.67564.84565.07665.08365.57965.78665.88766.03366.2966.52266.83467.14567.69567.86968.06468.78769.32569.84870.21470.30671.24971.95572.66173.13773.87774.42575.08575.94776.74977.67778.19578.65679.16179.57380.01280.47781.14881.46481.92482.10882.35382.77183.77584.63585.41385.9786.16786.64987.28388.19488.76289.05389.64990.0690.0690.43791.24691.68992.67293.25392.79693.13292.67592.85893.12893.57693.90994.4194.53694.89395.26595.44495.70195.80796.03896.40896.60796.95897.23697.41197.62397.92398.4398.64798.89399.14699.36599.51599.958100.137100.427100.66499.62699.62699.62699.61499.60299.62199.579100100.056
37전남나주역73.86274.90974.90975.26375.27775.70375.84975.85575.73676.02676.1876.68576.21776.43176.6676.76677.0477.32478.34478.34478.45878.45978.49378.63478.8978.94479.07979.26579.64379.8680.08780.40480.74981.13181.32881.54681.66381.79981.86282.12382.35482.75682.89183.17883.38783.59883.96384.45784.89485.31985.82486.33886.89687.36887.66787.90388.21388.54988.77788.94189.29389.50189.64289.90590.06790.3691.0991.38992.00692.5593.03893.47394.05794.67595.08195.47595.77496.01896.29396.62797.0597.24997.48597.54597.898.07198.2798.58698.85799.04199.25799.45699.58899.882100.018100.119100.103100.093100.107100.09100.055100.022100.011100100.015
38충남논산역86.81786.81787.23587.36587.48887.73887.94488.08587.98787.98787.99688.40488.55888.6788.69688.87389.10389.63889.42389.41989.79989.97490.03390.61990.86490.91190.95790.7391.27591.50491.65791.8791.68791.76291.72891.65791.93592.00892.5592.7192.9693.08993.43893.49293.72393.82793.88194.10394.40394.58994.63294.77694.83194.9395.07995.37695.51495.47395.56795.73995.71595.63995.66295.68495.87595.99996.03596.19696.43196.55196.74496.91397.06297.2697.27597.39797.52797.63297.84797.99198.20798.48998.68698.90399.04599.25799.4499.64199.8299.927100.049100.218100.372100.487100.567100.458100.42100.431100.337100.119100.075100.053100.010099.992
39전남목포역90.60590.61590.61890.63190.63990.65590.66190.68390.73190.77290.79690.78290.77990.80290.81790.79490.85190.88390.89990.91190.94690.98790.98391.00691.07191.10391.12191.13591.15291.18191.2291.27791.30891.39191.48491.50491.55291.63191.68691.69591.64991.55891.60291.63391.71891.88491.91792.10292.20792.29492.4892.74293.08593.38493.70994.02794.33494.63194.8795.08495.25795.45895.795.92496.15496.3696.55496.7696.97297.05697.1597.20397.27997.36497.50297.59497.73597.81897.91198.02298.18298.36298.49498.60498.71198.898.87898.97799.14199.34699.53899.66699.77499.999.989100.057100.051100.063100.053100.041100.032100.018100.008100100.016
40대전서대전역77.26977.53277.74677.76878.05978.13278.56579.04779.77379.80179.86180.2580.70980.93681.08381.08481.26281.53181.74981.90882.06282.24682.59482.7883.02983.27683.20783.38383.4783.6284.10784.42684.70284.95485.18685.42785.63185.885.96986.15186.29586.46586.65686.88187.08287.13487.43487.52987.72287.85388.00388.04988.19888.5588.7989.1589.29889.86290.16990.98191.20591.60191.79692.23492.49892.73393.06893.4293.62193.94594.294.40694.82395.21695.52995.89296.26996.70297.05997.39297.84798.24198.51798.93399.31399.64999.837100.094100.414100.812101.253101.523101.83101.994102.006102.004102.004100.914100.848100.661100.501100.086100.07210099.815
41전북익산역83.38983.44583.46183.55483.58283.60983.66783.77383.80883.88783.91184.02184.14884.22985.15585.16485.28785.37885.3985.46685.485.3785.47985.58185.82785.95485.99986.03486.15386.25886.586.80987.1487.52787.85188.14388.42888.72389.0389.28389.59989.77490.02790.22490.38690.58890.76991.07191.28491.53791.79991.98492.2592.47692.69492.8393.09393.28793.50893.72393.83493.95894.06394.21794.50194.68494.87495.06195.27795.49295.6695.82896.03196.22596.41596.6896.87397.07897.29897.51697.69197.9898.29798.59798.83899.08599.29499.56899.816100.102100.323100.558100.749101.107101.191101.446101.562101.578101.423101.332101.279100.536100.201100100.007
42전북정읍역80.67380.7780.94980.79880.34180.16180.16180.45981.21281.27781.28382.02981.77982.17282.29182.59782.59782.6682.73782.82882.9982.9983.20283.32983.55483.69383.92184.17784.51984.56284.69784.78485.33385.58885.95986.25786.55286.78687.02887.387.57987.73187.9488.10888.40588.588.70188.93989.14489.37389.54189.79190.48690.92291.33791.44891.70291.93992.08992.26792.50692.82893.10793.3293.3293.55293.71994.06794.30694.60594.75894.98495.33595.50595.76195.86896.05796.31196.43296.66896.87297.0797.30397.47697.67797.87298.09198.24898.41398.66198.93699.20699.47199.65299.918100.137100.182100.215100.034100.03199.999100.05299.97710099.938