Overview

Dataset statistics

Number of variables107
Number of observations111
Missing cells1608
Missing cells (%)13.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory104.3 KiB
Average record size in memory962.2 B

Variable types

Categorical2
Text1
Numeric104

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 보조지수 중 지하철 역세권 지가지수 데이터 입니다. - 기준시점(2023.06.=100) - 공표시기 : 익월 25일경
URLhttps://www.data.go.kr/data/15047780/fileData.do

Alerts

2023-06 has constant value ""Constant
2014-11 has 19 (17.1%) missing valuesMissing
2014-12 has 19 (17.1%) missing valuesMissing
2015-01 has 19 (17.1%) missing valuesMissing
2015-02 has 19 (17.1%) missing valuesMissing
2015-03 has 19 (17.1%) missing valuesMissing
2015-04 has 19 (17.1%) missing valuesMissing
2015-05 has 19 (17.1%) missing valuesMissing
2015-06 has 19 (17.1%) missing valuesMissing
2015-07 has 19 (17.1%) missing valuesMissing
2015-08 has 19 (17.1%) missing valuesMissing
2015-09 has 19 (17.1%) missing valuesMissing
2015-10 has 19 (17.1%) missing valuesMissing
2015-11 has 19 (17.1%) missing valuesMissing
2015-12 has 19 (17.1%) missing valuesMissing
2016-01 has 19 (17.1%) missing valuesMissing
2016-02 has 19 (17.1%) missing valuesMissing
2016-03 has 19 (17.1%) missing valuesMissing
2016-04 has 19 (17.1%) missing valuesMissing
2016-05 has 19 (17.1%) missing valuesMissing
2016-06 has 19 (17.1%) missing valuesMissing
2016-07 has 18 (16.2%) missing valuesMissing
2016-08 has 18 (16.2%) missing valuesMissing
2016-09 has 18 (16.2%) missing valuesMissing
2016-10 has 18 (16.2%) missing valuesMissing
2016-11 has 17 (15.3%) missing valuesMissing
2016-12 has 17 (15.3%) missing valuesMissing
2017-01 has 17 (15.3%) missing valuesMissing
2017-02 has 17 (15.3%) missing valuesMissing
2017-03 has 17 (15.3%) missing valuesMissing
2017-04 has 17 (15.3%) missing valuesMissing
2017-05 has 17 (15.3%) missing valuesMissing
2017-06 has 17 (15.3%) missing valuesMissing
2017-07 has 17 (15.3%) missing valuesMissing
2017-08 has 17 (15.3%) missing valuesMissing
2017-09 has 17 (15.3%) missing valuesMissing
2017-10 has 17 (15.3%) missing valuesMissing
2017-11 has 17 (15.3%) missing valuesMissing
2017-12 has 17 (15.3%) missing valuesMissing
2018-01 has 17 (15.3%) missing valuesMissing
2018-02 has 17 (15.3%) missing valuesMissing
2018-03 has 17 (15.3%) missing valuesMissing
2018-04 has 17 (15.3%) missing valuesMissing
2018-05 has 17 (15.3%) missing valuesMissing
2018-06 has 17 (15.3%) missing valuesMissing
2018-07 has 16 (14.4%) missing valuesMissing
2018-08 has 16 (14.4%) missing valuesMissing
2018-09 has 16 (14.4%) missing valuesMissing
2018-10 has 16 (14.4%) missing valuesMissing
2018-11 has 16 (14.4%) missing valuesMissing
2018-12 has 16 (14.4%) missing valuesMissing
2019-01 has 16 (14.4%) missing valuesMissing
2019-02 has 16 (14.4%) missing valuesMissing
2019-03 has 16 (14.4%) missing valuesMissing
2019-04 has 16 (14.4%) missing valuesMissing
2019-05 has 16 (14.4%) missing valuesMissing
2019-06 has 16 (14.4%) missing valuesMissing
2019-07 has 16 (14.4%) missing valuesMissing
2019-08 has 16 (14.4%) missing valuesMissing
2019-09 has 16 (14.4%) missing valuesMissing
2019-10 has 16 (14.4%) missing valuesMissing
2019-11 has 16 (14.4%) missing valuesMissing
2019-12 has 16 (14.4%) missing valuesMissing
2020-01 has 16 (14.4%) missing valuesMissing
2020-02 has 16 (14.4%) missing valuesMissing
2020-03 has 16 (14.4%) missing valuesMissing
2020-04 has 16 (14.4%) missing valuesMissing
2020-05 has 16 (14.4%) missing valuesMissing
2020-06 has 16 (14.4%) missing valuesMissing
2020-07 has 16 (14.4%) missing valuesMissing
2020-08 has 16 (14.4%) missing valuesMissing
2020-09 has 16 (14.4%) missing valuesMissing
2020-10 has 16 (14.4%) missing valuesMissing
2020-11 has 16 (14.4%) missing valuesMissing
2020-12 has 16 (14.4%) missing valuesMissing
2021-01 has 16 (14.4%) missing valuesMissing
2021-02 has 16 (14.4%) missing valuesMissing
2021-03 has 16 (14.4%) missing valuesMissing
2021-04 has 16 (14.4%) missing valuesMissing
2021-05 has 16 (14.4%) missing valuesMissing
2021-06 has 16 (14.4%) missing valuesMissing
2021-07 has 16 (14.4%) missing valuesMissing
2021-08 has 16 (14.4%) missing valuesMissing
2021-09 has 16 (14.4%) missing valuesMissing
2021-10 has 16 (14.4%) missing valuesMissing
2021-11 has 16 (14.4%) missing valuesMissing
2021-12 has 16 (14.4%) missing valuesMissing
2022-01 has 16 (14.4%) missing valuesMissing
2022-02 has 16 (14.4%) missing valuesMissing
2022-03 has 16 (14.4%) missing valuesMissing
2022-04 has 16 (14.4%) missing valuesMissing
2022-05 has 16 (14.4%) missing valuesMissing
2022-06 has 16 (14.4%) missing valuesMissing
2022-07 has 16 (14.4%) missing valuesMissing
2022-08 has 16 (14.4%) missing valuesMissing
2022-09 has 16 (14.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:53:05.212804
Analysis finished2023-12-12 18:53:06.939256
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct11
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
경기
39 
서울
25 
부산
15 
대구
인천
Other values (6)
16 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
경기 39
35.1%
서울 25
22.5%
부산 15
 
13.5%
대구 8
 
7.2%
인천 8
 
7.2%
광주 5
 
4.5%
대전 4
 
3.6%
충남 3
 
2.7%
경남 2
 
1.8%
경북 1
 
0.9%

Length

2023-12-13T03:53:07.072933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 39
35.1%
서울 25
22.5%
부산 15
 
13.5%
대구 8
 
7.2%
인천 8
 
7.2%
광주 5
 
4.5%
대전 4
 
3.6%
충남 3
 
2.7%
경남 2
 
1.8%
경북 1
 
0.9%
Distinct94
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2023-12-13T03:53:07.576394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.2522523
Min length2

Characters and Unicode

Total characters361
Distinct characters91
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

Unique88 ?
Unique (%)79.3%

Sample

1st row종로구
2nd row중구
3rd row용산구
4th row성동구
5th row광진구
ValueCountFrequency (%)
서구 5
 
4.5%
중구 5
 
4.5%
동구 5
 
4.5%
남구 3
 
2.7%
북구 3
 
2.7%
강서구 2
 
1.8%
평택시 1
 
0.9%
남양주시 1
 
0.9%
구리시 1
 
0.9%
과천시 1
 
0.9%
Other values (84) 84
75.7%
2023-12-13T03:53:08.318478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
23.3%
26
 
7.2%
15
 
4.2%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (81) 163
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 361
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
23.3%
26
 
7.2%
15
 
4.2%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (81) 163
45.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 361
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
23.3%
26
 
7.2%
15
 
4.2%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (81) 163
45.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 361
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
84
23.3%
26
 
7.2%
15
 
4.2%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
9
 
2.5%
9
 
2.5%
9
 
2.5%
Other values (81) 163
45.2%

2014-11
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean74.940924
Minimum64.134
Maximum87.287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:08.584980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.134
5-th percentile66.61455
Q172.30825
median75.22
Q377.9075
95-th percentile82.07155
Maximum87.287
Range23.153
Interquartile range (IQR)5.59925

Descriptive statistics

Standard deviation4.7819952
Coefficient of variation (CV)0.063810198
Kurtosis0.082146559
Mean74.940924
Median Absolute Deviation (MAD)2.845
Skewness-0.035015813
Sum6894.565
Variance22.867478
MonotonicityNot monotonic
2023-12-13T03:53:08.819327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.051 2
 
1.8%
79.856 1
 
0.9%
80.775 1
 
0.9%
75.421 1
 
0.9%
66.921 1
 
0.9%
81.82 1
 
0.9%
75.621 1
 
0.9%
79.345 1
 
0.9%
65.089 1
 
0.9%
77.737 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.134 1
0.9%
64.684 1
0.9%
65.089 1
0.9%
65.125 1
0.9%
66.24 1
0.9%
66.921 1
0.9%
67.754 1
0.9%
68.086 1
0.9%
68.118 1
0.9%
68.273 1
0.9%
ValueCountFrequency (%)
87.287 1
0.9%
86.5 1
0.9%
85.084 1
0.9%
82.717 1
0.9%
82.379 1
0.9%
81.82 1
0.9%
81.49 1
0.9%
81.191 1
0.9%
80.831 1
0.9%
80.775 1
0.9%

2014-12
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.040576
Minimum64.416
Maximum87.409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:09.073472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.416
5-th percentile66.75625
Q172.52725
median75.3555
Q378.04075
95-th percentile82.3775
Maximum87.409
Range22.993
Interquartile range (IQR)5.5135

Descriptive statistics

Standard deviation4.7396014
Coefficient of variation (CV)0.063160515
Kurtosis0.074114802
Mean75.040576
Median Absolute Deviation (MAD)2.788
Skewness-0.045475256
Sum6903.733
Variance22.463821
MonotonicityNot monotonic
2023-12-13T03:53:09.322965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.38 1
 
0.9%
80.081 1
 
0.9%
80.826 1
 
0.9%
75.459 1
 
0.9%
66.979 1
 
0.9%
82.373 1
 
0.9%
75.763 1
 
0.9%
79.359 1
 
0.9%
65.073 1
 
0.9%
77.65 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.416 1
0.9%
64.796 1
0.9%
65.073 1
0.9%
65.396 1
0.9%
66.484 1
0.9%
66.979 1
0.9%
67.949 1
0.9%
68.251 1
0.9%
68.421 1
0.9%
68.43 1
0.9%
ValueCountFrequency (%)
87.409 1
0.9%
86.53 1
0.9%
84.595 1
0.9%
82.507 1
0.9%
82.383 1
0.9%
82.373 1
0.9%
81.373 1
0.9%
81.132 1
0.9%
80.826 1
0.9%
80.735 1
0.9%

2015-01
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.14463
Minimum64.761
Maximum87.412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:09.576460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.761
5-th percentile66.84655
Q172.61
median75.468
Q378.22075
95-th percentile82.5094
Maximum87.412
Range22.651
Interquartile range (IQR)5.61075

Descriptive statistics

Standard deviation4.7151865
Coefficient of variation (CV)0.06274815
Kurtosis0.045390504
Mean75.14463
Median Absolute Deviation (MAD)2.8625
Skewness-0.035457109
Sum6913.306
Variance22.232984
MonotonicityNot monotonic
2023-12-13T03:53:09.844486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.053 2
 
1.8%
77.711 1
 
0.9%
80.089 1
 
0.9%
80.882 1
 
0.9%
75.567 1
 
0.9%
67.09 1
 
0.9%
82.906 1
 
0.9%
75.765 1
 
0.9%
79.433 1
 
0.9%
65.325 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.761 1
0.9%
65.026 1
0.9%
65.325 1
0.9%
65.493 1
0.9%
66.549 1
0.9%
67.09 1
0.9%
68.052 1
0.9%
68.503 1
0.9%
68.519 1
0.9%
68.699 1
0.9%
ValueCountFrequency (%)
87.412 1
0.9%
86.465 1
0.9%
84.675 1
0.9%
82.906 1
0.9%
82.549 1
0.9%
82.477 1
0.9%
81.373 1
0.9%
81.296 1
0.9%
80.882 1
0.9%
80.761 1
0.9%

2015-02
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.227772
Minimum64.377
Maximum87.425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:10.094114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.377
5-th percentile66.94425
Q172.7415
median75.5595
Q378.20725
95-th percentile82.40815
Maximum87.425
Range23.048
Interquartile range (IQR)5.46575

Descriptive statistics

Standard deviation4.7002385
Coefficient of variation (CV)0.062480097
Kurtosis0.07802907
Mean75.227772
Median Absolute Deviation (MAD)2.776
Skewness-0.051989604
Sum6920.955
Variance22.092242
MonotonicityNot monotonic
2023-12-13T03:53:10.302539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.624 1
 
0.9%
80.116 1
 
0.9%
80.923 1
 
0.9%
75.593 1
 
0.9%
67.167 1
 
0.9%
83.156 1
 
0.9%
75.872 1
 
0.9%
79.468 1
 
0.9%
65.47 1
 
0.9%
77.682 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.377 1
0.9%
65.168 1
0.9%
65.47 1
0.9%
65.583 1
0.9%
66.672 1
0.9%
67.167 1
0.9%
68.189 1
0.9%
68.648 1
0.9%
68.749 1
0.9%
68.775 1
0.9%
ValueCountFrequency (%)
87.425 1
0.9%
86.532 1
0.9%
84.564 1
0.9%
83.156 1
0.9%
82.61 1
0.9%
82.243 1
0.9%
81.777 1
0.9%
81.26 1
0.9%
80.923 1
0.9%
80.761 1
0.9%

2015-03
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.344196
Minimum64.512
Maximum87.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:10.565328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.512
5-th percentile67.0863
Q172.812
median75.6485
Q378.1815
95-th percentile82.3893
Maximum87.57
Range23.058
Interquartile range (IQR)5.3695

Descriptive statistics

Standard deviation4.6416048
Coefficient of variation (CV)0.06160534
Kurtosis0.11904699
Mean75.344196
Median Absolute Deviation (MAD)2.7235
Skewness-0.060264292
Sum6931.666
Variance21.544495
MonotonicityNot monotonic
2023-12-13T03:53:10.814155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.88 1
 
0.9%
80.279 1
 
0.9%
80.922 1
 
0.9%
75.732 1
 
0.9%
67.197 1
 
0.9%
82.983 1
 
0.9%
75.983 1
 
0.9%
79.886 1
 
0.9%
65.489 1
 
0.9%
77.689 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.512 1
0.9%
65.4 1
0.9%
65.489 1
0.9%
65.889 1
0.9%
66.951 1
0.9%
67.197 1
0.9%
68.373 1
0.9%
68.955 1
0.9%
69.077 1
0.9%
69.135 1
0.9%
ValueCountFrequency (%)
87.57 1
0.9%
86.552 1
0.9%
84.372 1
0.9%
82.983 1
0.9%
82.782 1
0.9%
82.068 1
0.9%
81.672 1
0.9%
81.077 1
0.9%
80.922 1
0.9%
80.815 1
0.9%

2015-04
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.469837
Minimum64.301
Maximum87.626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:11.060335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.301
5-th percentile67.24425
Q173.07725
median75.7695
Q378.31575
95-th percentile82.74815
Maximum87.626
Range23.325
Interquartile range (IQR)5.2385

Descriptive statistics

Standard deviation4.6166449
Coefficient of variation (CV)0.061172054
Kurtosis0.12941739
Mean75.469837
Median Absolute Deviation (MAD)2.606
Skewness-0.077371193
Sum6943.225
Variance21.31341
MonotonicityNot monotonic
2023-12-13T03:53:11.336025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.289 1
 
0.9%
80.333 1
 
0.9%
80.949 1
 
0.9%
75.875 1
 
0.9%
67.296 1
 
0.9%
82.983 1
 
0.9%
76.06 1
 
0.9%
79.087 1
 
0.9%
65.786 1
 
0.9%
77.619 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.301 1
0.9%
65.628 1
0.9%
65.786 1
0.9%
66.074 1
0.9%
67.181 1
0.9%
67.296 1
0.9%
68.615 1
0.9%
69.135 1
0.9%
69.179 1
0.9%
69.245 1
0.9%
ValueCountFrequency (%)
87.626 1
0.9%
86.432 1
0.9%
84.337 1
0.9%
83.047 1
0.9%
82.983 1
0.9%
82.556 1
0.9%
81.727 1
0.9%
81.391 1
0.9%
80.949 1
0.9%
80.833 1
0.9%

2015-05
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.574228
Minimum64.702
Maximum87.593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:11.597568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.702
5-th percentile67.3114
Q173.21525
median75.8655
Q378.4725
95-th percentile81.9083
Maximum87.593
Range22.891
Interquartile range (IQR)5.25725

Descriptive statistics

Standard deviation4.5433001
Coefficient of variation (CV)0.060117056
Kurtosis0.11832143
Mean75.574228
Median Absolute Deviation (MAD)2.6535
Skewness-0.097667802
Sum6952.829
Variance20.641576
MonotonicityNot monotonic
2023-12-13T03:53:11.896000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.387 1
 
0.9%
80.398 1
 
0.9%
81.067 1
 
0.9%
75.929 1
 
0.9%
67.396 1
 
0.9%
81.677 1
 
0.9%
76.126 1
 
0.9%
79.17 1
 
0.9%
66.05 1
 
0.9%
77.801 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
64.702 1
0.9%
65.835 1
0.9%
66.05 1
0.9%
66.313 1
0.9%
67.208 1
0.9%
67.396 1
0.9%
68.807 1
0.9%
69.258 1
0.9%
69.44 1
0.9%
69.485 1
0.9%
ValueCountFrequency (%)
87.593 1
0.9%
86.466 1
0.9%
84.176 1
0.9%
83.141 1
0.9%
82.191 1
0.9%
81.677 1
0.9%
81.656 1
0.9%
81.566 1
0.9%
81.067 1
0.9%
80.954 1
0.9%

2015-06
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.721196
Minimum65.209
Maximum87.611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:12.165176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.209
5-th percentile67.4937
Q173.39175
median75.9385
Q378.6035
95-th percentile82.159
Maximum87.611
Range22.402
Interquartile range (IQR)5.21175

Descriptive statistics

Standard deviation4.5111272
Coefficient of variation (CV)0.059575488
Kurtosis0.076442584
Mean75.721196
Median Absolute Deviation (MAD)2.659
Skewness-0.080655949
Sum6966.35
Variance20.350268
MonotonicityNot monotonic
2023-12-13T03:53:12.442194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.683 1
 
0.9%
80.481 1
 
0.9%
81.154 1
 
0.9%
75.994 1
 
0.9%
67.518 1
 
0.9%
82.06 1
 
0.9%
76.207 1
 
0.9%
79.28 1
 
0.9%
66.616 1
 
0.9%
78.143 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
65.209 1
0.9%
66.104 1
0.9%
66.244 1
0.9%
66.616 1
0.9%
67.464 1
0.9%
67.518 1
0.9%
69.069 1
0.9%
69.503 1
0.9%
69.512 1
0.9%
69.571 1
0.9%
ValueCountFrequency (%)
87.611 1
0.9%
86.577 1
0.9%
84.28 1
0.9%
83.208 1
0.9%
82.28 1
0.9%
82.06 1
0.9%
81.687 1
0.9%
81.656 1
0.9%
81.154 1
0.9%
81.086 1
0.9%

2015-07
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean75.882109
Minimum65.782
Maximum87.678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:12.716431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.782
5-th percentile67.6025
Q173.544
median76.0265
Q378.774
95-th percentile82.1442
Maximum87.678
Range21.896
Interquartile range (IQR)5.23

Descriptive statistics

Standard deviation4.4484163
Coefficient of variation (CV)0.058622729
Kurtosis0.062472742
Mean75.882109
Median Absolute Deviation (MAD)2.5915
Skewness-0.055644543
Sum6981.154
Variance19.788407
MonotonicityNot monotonic
2023-12-13T03:53:13.548563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.885 2
 
1.8%
80.326 1
 
0.9%
81.187 1
 
0.9%
76.139 1
 
0.9%
67.575 1
 
0.9%
76.278 1
 
0.9%
79.404 1
 
0.9%
67.179 1
 
0.9%
78.157 1
 
0.9%
77.321 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
65.782 1
0.9%
66.166 1
0.9%
67.023 1
0.9%
67.179 1
0.9%
67.575 1
0.9%
67.625 1
0.9%
69.351 1
0.9%
69.711 1
0.9%
69.76 1
0.9%
69.932 1
0.9%
ValueCountFrequency (%)
87.678 1
0.9%
86.713 1
0.9%
84.365 1
0.9%
83.294 1
0.9%
82.461 1
0.9%
81.885 2
1.8%
81.771 1
0.9%
81.187 1
0.9%
81.18 1
0.9%
81.134 1
0.9%

2015-08
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.044098
Minimum66.341
Maximum87.674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:13.858730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.341
5-th percentile67.72565
Q173.70225
median76.1965
Q379.03475
95-th percentile82.62655
Maximum87.674
Range21.333
Interquartile range (IQR)5.3325

Descriptive statistics

Standard deviation4.4273033
Coefficient of variation (CV)0.05822021
Kurtosis0.018087676
Mean76.044098
Median Absolute Deviation (MAD)2.752
Skewness-0.051092281
Sum6996.057
Variance19.601015
MonotonicityNot monotonic
2023-12-13T03:53:14.145640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.589 2
 
1.8%
80.319 1
 
0.9%
81.19 1
 
0.9%
76.298 1
 
0.9%
67.614 1
 
0.9%
81.657 1
 
0.9%
76.343 1
 
0.9%
79.2 1
 
0.9%
67.366 1
 
0.9%
78.231 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
66.341 1
0.9%
66.376 1
0.9%
67.313 1
0.9%
67.366 1
0.9%
67.614 1
0.9%
67.817 1
0.9%
69.527 1
0.9%
69.711 1
0.9%
69.975 1
0.9%
70.143 1
0.9%
ValueCountFrequency (%)
87.674 1
0.9%
86.712 1
0.9%
84.629 1
0.9%
83.51 1
0.9%
83.176 1
0.9%
82.177 1
0.9%
81.824 1
0.9%
81.657 1
0.9%
81.266 1
0.9%
81.19 1
0.9%

2015-09
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.16975
Minimum66.461
Maximum87.718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:14.478424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.461
5-th percentile67.8215
Q173.81025
median76.3095
Q378.96975
95-th percentile82.60345
Maximum87.718
Range21.257
Interquartile range (IQR)5.1595

Descriptive statistics

Standard deviation4.3985205
Coefficient of variation (CV)0.05774629
Kurtosis0.060012054
Mean76.16975
Median Absolute Deviation (MAD)2.675
Skewness-0.054724799
Sum7007.617
Variance19.346982
MonotonicityNot monotonic
2023-12-13T03:53:14.765383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.439 1
 
0.9%
80.736 1
 
0.9%
81.157 1
 
0.9%
76.4 1
 
0.9%
67.644 1
 
0.9%
81.657 1
 
0.9%
76.47 1
 
0.9%
78.955 1
 
0.9%
67.761 1
 
0.9%
78.192 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
66.461 1
0.9%
66.485 1
0.9%
67.478 1
0.9%
67.644 1
0.9%
67.761 1
0.9%
67.871 1
0.9%
69.67 1
0.9%
69.713 1
0.9%
70.212 1
0.9%
70.33 1
0.9%
ValueCountFrequency (%)
87.718 1
0.9%
86.731 1
0.9%
85.131 1
0.9%
83.847 1
0.9%
82.923 1
0.9%
82.342 1
0.9%
81.89 1
0.9%
81.657 1
0.9%
81.356 1
0.9%
81.157 1
0.9%

2015-10
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.334261
Minimum66.533
Maximum87.794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:15.025495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.533
5-th percentile68.0269
Q173.9845
median76.4675
Q379.05225
95-th percentile82.38005
Maximum87.794
Range21.261
Interquartile range (IQR)5.06775

Descriptive statistics

Standard deviation4.3688059
Coefficient of variation (CV)0.05723257
Kurtosis0.035782884
Mean76.334261
Median Absolute Deviation (MAD)2.615
Skewness-0.081638521
Sum7022.752
Variance19.086465
MonotonicityNot monotonic
2023-12-13T03:53:15.300290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.501 1
 
0.9%
80.82 1
 
0.9%
81.232 1
 
0.9%
76.558 1
 
0.9%
67.741 1
 
0.9%
81.962 1
 
0.9%
76.486 1
 
0.9%
79.219 1
 
0.9%
68.006 1
 
0.9%
78.329 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
66.533 1
0.9%
66.971 1
0.9%
67.599 1
0.9%
67.741 1
0.9%
68.006 1
0.9%
68.044 1
0.9%
69.713 1
0.9%
69.778 1
0.9%
70.447 1
0.9%
70.557 1
0.9%
ValueCountFrequency (%)
87.794 1
0.9%
86.739 1
0.9%
85.156 1
0.9%
83.854 1
0.9%
82.385 1
0.9%
82.376 1
0.9%
81.962 1
0.9%
81.837 1
0.9%
81.432 1
0.9%
81.309 1
0.9%

2015-11
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.492315
Minimum66.684
Maximum87.868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:15.564186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.684
5-th percentile68.6292
Q174.0755
median76.5805
Q379.265
95-th percentile82.6074
Maximum87.868
Range21.184
Interquartile range (IQR)5.1895

Descriptive statistics

Standard deviation4.3356301
Coefficient of variation (CV)0.056680596
Kurtosis0.017940679
Mean76.492315
Median Absolute Deviation (MAD)2.6985
Skewness-0.076783649
Sum7037.293
Variance18.797688
MonotonicityNot monotonic
2023-12-13T03:53:15.798564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.698 1
 
0.9%
80.88 1
 
0.9%
81.303 1
 
0.9%
76.646 1
 
0.9%
67.799 1
 
0.9%
81.795 1
 
0.9%
76.495 1
 
0.9%
79.307 1
 
0.9%
69.0 1
 
0.9%
78.508 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
66.684 1
0.9%
67.077 1
0.9%
67.799 1
0.9%
67.88 1
0.9%
68.176 1
0.9%
69.0 1
0.9%
69.952 1
0.9%
70.109 1
0.9%
70.63 1
0.9%
70.793 1
0.9%
ValueCountFrequency (%)
87.868 1
0.9%
86.72 1
0.9%
85.285 1
0.9%
84.0 1
0.9%
82.823 1
0.9%
82.431 1
0.9%
81.892 1
0.9%
81.795 1
0.9%
81.685 1
0.9%
81.537 1
0.9%

2015-12
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.643
Minimum67.163
Maximum87.927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:16.034603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.163
5-th percentile68.87995
Q174.196
median76.67
Q379.20425
95-th percentile82.90305
Maximum87.927
Range20.764
Interquartile range (IQR)5.00825

Descriptive statistics

Standard deviation4.2894406
Coefficient of variation (CV)0.055966502
Kurtosis0.013436562
Mean76.643
Median Absolute Deviation (MAD)2.5815
Skewness-0.057532924
Sum7051.156
Variance18.399301
MonotonicityNot monotonic
2023-12-13T03:53:16.299382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.565 2
 
1.8%
75.936 1
 
0.9%
69.379 1
 
0.9%
79.112 1
 
0.9%
80.968 1
 
0.9%
81.412 1
 
0.9%
76.74 1
 
0.9%
67.832 1
 
0.9%
81.833 1
 
0.9%
76.517 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
67.163 1
0.9%
67.351 1
0.9%
67.832 1
0.9%
68.2 1
0.9%
68.27 1
0.9%
69.379 1
0.9%
70.213 1
0.9%
70.372 1
0.9%
70.989 1
0.9%
71.025 1
0.9%
ValueCountFrequency (%)
87.927 1
0.9%
86.757 1
0.9%
85.308 1
0.9%
84.048 1
0.9%
83.48 1
0.9%
82.431 1
0.9%
82.016 1
0.9%
81.833 1
0.9%
81.715 1
0.9%
81.685 1
0.9%

2016-01
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.76363
Minimum67.382
Maximum87.998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:16.563239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.382
5-th percentile69.20325
Q174.29575
median76.802
Q379.386
95-th percentile83.03175
Maximum87.998
Range20.616
Interquartile range (IQR)5.09025

Descriptive statistics

Standard deviation4.2594379
Coefficient of variation (CV)0.055487708
Kurtosis-0.0088937092
Mean76.76363
Median Absolute Deviation (MAD)2.636
Skewness-0.04129736
Sum7062.254
Variance18.142812
MonotonicityNot monotonic
2023-12-13T03:53:16.828082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.163 1
 
0.9%
81.02 1
 
0.9%
81.465 1
 
0.9%
76.821 1
 
0.9%
67.88 1
 
0.9%
82.108 1
 
0.9%
76.504 1
 
0.9%
79.111 1
 
0.9%
69.678 1
 
0.9%
78.748 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
67.382 1
0.9%
67.76 1
0.9%
67.88 1
0.9%
68.469 1
0.9%
68.623 1
0.9%
69.678 1
0.9%
70.359 1
0.9%
70.391 1
0.9%
71.18 1
0.9%
71.284 1
0.9%
ValueCountFrequency (%)
87.998 1
0.9%
86.777 1
0.9%
85.45 1
0.9%
84.098 1
0.9%
83.491 1
0.9%
82.656 1
0.9%
82.108 1
0.9%
82.058 1
0.9%
81.845 1
0.9%
81.685 1
0.9%

2016-02
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean76.877424
Minimum67.832
Maximum87.853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:17.128438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.832
5-th percentile69.45805
Q174.4625
median76.963
Q379.542
95-th percentile83.1704
Maximum87.853
Range20.021
Interquartile range (IQR)5.0795

Descriptive statistics

Standard deviation4.2221947
Coefficient of variation (CV)0.054921127
Kurtosis-0.044716113
Mean76.877424
Median Absolute Deviation (MAD)2.593
Skewness-0.035603721
Sum7072.723
Variance17.826928
MonotonicityNot monotonic
2023-12-13T03:53:17.464020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.262 1
 
0.9%
81.06 1
 
0.9%
81.565 1
 
0.9%
76.958 1
 
0.9%
67.919 1
 
0.9%
82.078 1
 
0.9%
76.49 1
 
0.9%
79.046 1
 
0.9%
69.931 1
 
0.9%
78.698 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
67.832 1
0.9%
67.919 1
0.9%
68.071 1
0.9%
68.674 1
0.9%
68.88 1
0.9%
69.931 1
0.9%
70.391 1
0.9%
70.556 1
0.9%
71.316 1
0.9%
71.473 1
0.9%
ValueCountFrequency (%)
87.853 1
0.9%
86.956 1
0.9%
85.469 1
0.9%
84.135 1
0.9%
83.551 1
0.9%
82.859 1
0.9%
82.091 1
0.9%
82.078 1
0.9%
81.937 1
0.9%
81.685 1
0.9%

2016-03
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean77.03325
Minimum68.003
Maximum87.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:17.796647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.003
5-th percentile69.88055
Q174.54675
median77.206
Q379.60825
95-th percentile83.0913
Maximum87.934
Range19.931
Interquartile range (IQR)5.0615

Descriptive statistics

Standard deviation4.1834925
Coefficient of variation (CV)0.05430762
Kurtosis-0.08395628
Mean77.03325
Median Absolute Deviation (MAD)2.5755
Skewness-0.021901897
Sum7087.059
Variance17.501609
MonotonicityNot monotonic
2023-12-13T03:53:18.108659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.409 1
 
0.9%
81.143 1
 
0.9%
81.595 1
 
0.9%
77.13 1
 
0.9%
68.003 1
 
0.9%
82.364 1
 
0.9%
76.561 1
 
0.9%
78.954 1
 
0.9%
70.439 1
 
0.9%
79.025 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
68.003 1
0.9%
68.251 1
0.9%
68.558 1
0.9%
68.96 1
0.9%
69.198 1
0.9%
70.439 1
0.9%
70.509 1
0.9%
70.707 1
0.9%
71.495 1
0.9%
71.748 1
0.9%
ValueCountFrequency (%)
87.934 1
0.9%
87.035 1
0.9%
85.433 1
0.9%
84.309 1
0.9%
83.22 1
0.9%
82.986 1
0.9%
82.364 1
0.9%
82.126 1
0.9%
82.115 1
0.9%
82.089 1
0.9%

2016-04
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)98.9%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean77.190609
Minimum68.076
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:18.399080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.076
5-th percentile69.97885
Q174.736
median77.365
Q379.76075
95-th percentile83.33165
Maximum88
Range19.924
Interquartile range (IQR)5.02475

Descriptive statistics

Standard deviation4.164077
Coefficient of variation (CV)0.053945383
Kurtosis-0.10902796
Mean77.190609
Median Absolute Deviation (MAD)2.484
Skewness-0.01784998
Sum7101.536
Variance17.339537
MonotonicityNot monotonic
2023-12-13T03:53:18.714966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.609 2
 
1.8%
78.665 1
 
0.9%
81.282 1
 
0.9%
81.733 1
 
0.9%
77.306 1
 
0.9%
68.076 1
 
0.9%
82.676 1
 
0.9%
76.682 1
 
0.9%
78.903 1
 
0.9%
70.594 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
68.076 1
0.9%
68.68 1
0.9%
68.804 1
0.9%
69.259 1
0.9%
69.491 1
0.9%
70.378 1
0.9%
70.594 1
0.9%
70.933 1
0.9%
71.671 1
0.9%
71.988 1
0.9%
ValueCountFrequency (%)
88.0 1
0.9%
87.03 1
0.9%
85.586 1
0.9%
84.377 1
0.9%
83.506 1
0.9%
83.189 1
0.9%
82.676 1
0.9%
82.509 1
0.9%
82.209 1
0.9%
82.121 1
0.9%

2016-05
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean77.352489
Minimum68.112
Maximum88.072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:19.020156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.112
5-th percentile70.05535
Q174.91625
median77.5285
Q379.883
95-th percentile83.2664
Maximum88.072
Range19.96
Interquartile range (IQR)4.96675

Descriptive statistics

Standard deviation4.1316329
Coefficient of variation (CV)0.053413057
Kurtosis-0.10436615
Mean77.352489
Median Absolute Deviation (MAD)2.4895
Skewness-0.020860491
Sum7116.429
Variance17.070391
MonotonicityNot monotonic
2023-12-13T03:53:19.297287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.916 1
 
0.9%
81.425 1
 
0.9%
81.82 1
 
0.9%
77.428 1
 
0.9%
68.112 1
 
0.9%
82.686 1
 
0.9%
76.713 1
 
0.9%
78.911 1
 
0.9%
70.952 1
 
0.9%
79.422 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
68.112 1
0.9%
68.923 1
0.9%
69.081 1
0.9%
69.607 1
0.9%
69.661 1
0.9%
70.378 1
0.9%
70.952 1
0.9%
71.18 1
0.9%
71.954 1
0.9%
72.235 1
0.9%
ValueCountFrequency (%)
88.072 1
0.9%
87.094 1
0.9%
85.749 1
0.9%
84.485 1
0.9%
83.361 1
0.9%
83.189 1
0.9%
82.939 1
0.9%
82.686 1
0.9%
82.267 1
0.9%
82.106 1
0.9%

2016-06
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)100.0%
Missing19
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean77.552717
Minimum68.172
Maximum88.183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:19.602011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.172
5-th percentile70.44305
Q175.1755
median77.6925
Q380.01325
95-th percentile83.58245
Maximum88.183
Range20.011
Interquartile range (IQR)4.83775

Descriptive statistics

Standard deviation4.0905576
Coefficient of variation (CV)0.05274551
Kurtosis-0.12604727
Mean77.552717
Median Absolute Deviation (MAD)2.4665
Skewness-0.0023355061
Sum7134.85
Variance16.732661
MonotonicityNot monotonic
2023-12-13T03:53:19.877573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.132 1
 
0.9%
81.638 1
 
0.9%
81.885 1
 
0.9%
77.615 1
 
0.9%
68.172 1
 
0.9%
82.929 1
 
0.9%
76.734 1
 
0.9%
79.111 1
 
0.9%
71.271 1
 
0.9%
79.527 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 19
 
17.1%
ValueCountFrequency (%)
68.172 1
0.9%
69.43 1
0.9%
69.58 1
0.9%
70.029 1
0.9%
70.393 1
0.9%
70.484 1
0.9%
71.271 1
0.9%
71.447 1
0.9%
72.134 1
0.9%
72.557 1
0.9%
ValueCountFrequency (%)
88.183 1
0.9%
87.125 1
0.9%
85.965 1
0.9%
84.66 1
0.9%
83.792 1
0.9%
83.411 1
0.9%
82.939 1
0.9%
82.929 1
0.9%
82.384 1
0.9%
82.194 1
0.9%

2016-07
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)98.9%
Missing18
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean77.751237
Minimum68.237
Maximum88.257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:20.151604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.237
5-th percentile70.7452
Q175.485
median77.949
Q380.181
95-th percentile83.5966
Maximum88.257
Range20.02
Interquartile range (IQR)4.696

Descriptive statistics

Standard deviation4.0343556
Coefficient of variation (CV)0.051887993
Kurtosis-0.13075229
Mean77.751237
Median Absolute Deviation (MAD)2.393
Skewness-0.034477087
Sum7230.865
Variance16.276025
MonotonicityNot monotonic
2023-12-13T03:53:20.434055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.656 2
 
1.8%
79.346 1
 
0.9%
81.806 1
 
0.9%
82.114 1
 
0.9%
77.658 1
 
0.9%
68.237 1
 
0.9%
83.283 1
 
0.9%
76.841 1
 
0.9%
79.126 1
 
0.9%
71.648 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 18
 
16.2%
ValueCountFrequency (%)
68.237 1
0.9%
69.765 1
0.9%
69.996 1
0.9%
70.373 1
0.9%
70.393 1
0.9%
70.98 1
0.9%
71.648 1
0.9%
71.677 1
0.9%
72.379 1
0.9%
72.58 1
0.9%
ValueCountFrequency (%)
88.257 1
0.9%
87.09 1
0.9%
85.867 1
0.9%
84.717 1
0.9%
83.932 1
0.9%
83.373 1
0.9%
83.283 1
0.9%
83.034 1
0.9%
82.646 1
0.9%
82.363 1
0.9%

2016-08
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)97.8%
Missing18
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean77.930452
Minimum68.327
Maximum88.387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:20.739832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.327
5-th percentile71.1608
Q175.636
median78.172
Q380.305
95-th percentile83.6112
Maximum88.387
Range20.06
Interquartile range (IQR)4.669

Descriptive statistics

Standard deviation4.0074821
Coefficient of variation (CV)0.051423828
Kurtosis-0.096544776
Mean77.930452
Median Absolute Deviation (MAD)2.51
Skewness-0.03914126
Sum7247.532
Variance16.059913
MonotonicityNot monotonic
2023-12-13T03:53:21.555569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.262 2
 
1.8%
78.314 2
 
1.8%
79.671 1
 
0.9%
78.927 1
 
0.9%
82.011 1
 
0.9%
82.347 1
 
0.9%
77.882 1
 
0.9%
68.327 1
 
0.9%
83.316 1
 
0.9%
76.965 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 18
 
16.2%
ValueCountFrequency (%)
68.327 1
0.9%
69.948 1
0.9%
70.316 1
0.9%
70.393 1
0.9%
70.703 1
0.9%
71.466 1
0.9%
71.838 1
0.9%
71.957 1
0.9%
72.614 1
0.9%
72.882 1
0.9%
ValueCountFrequency (%)
88.387 1
0.9%
87.148 1
0.9%
86.447 1
0.9%
84.754 1
0.9%
84.054 1
0.9%
83.316 1
0.9%
83.182 1
0.9%
83.053 1
0.9%
82.8 1
0.9%
82.496 1
0.9%

2016-09
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)100.0%
Missing18
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean78.122473
Minimum68.49
Maximum88.476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:21.820735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.49
5-th percentile71.6342
Q175.84
median78.409
Q380.467
95-th percentile84.0966
Maximum88.476
Range19.986
Interquartile range (IQR)4.627

Descriptive statistics

Standard deviation3.9795541
Coefficient of variation (CV)0.05093994
Kurtosis-0.086692941
Mean78.122473
Median Absolute Deviation (MAD)2.433
Skewness-0.019000041
Sum7265.39
Variance15.836851
MonotonicityNot monotonic
2023-12-13T03:53:22.098739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.86 1
 
0.9%
82.214 1
 
0.9%
82.375 1
 
0.9%
78.251 1
 
0.9%
68.49 1
 
0.9%
83.352 1
 
0.9%
76.991 1
 
0.9%
79.343 1
 
0.9%
72.031 1
 
0.9%
79.907 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 18
 
16.2%
ValueCountFrequency (%)
68.49 1
0.9%
70.451 1
0.9%
70.488 1
0.9%
70.659 1
0.9%
71.252 1
0.9%
71.889 1
0.9%
72.031 1
0.9%
72.201 1
0.9%
72.812 1
0.9%
73.074 1
0.9%
ValueCountFrequency (%)
88.476 1
0.9%
87.195 1
0.9%
86.783 1
0.9%
84.902 1
0.9%
84.789 1
0.9%
83.635 1
0.9%
83.352 1
0.9%
82.98 1
0.9%
82.928 1
0.9%
82.865 1
0.9%

2016-10
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)98.9%
Missing18
Missing (%)16.2%
Infinite0
Infinite (%)0.0%
Mean78.297161
Minimum68.656
Maximum88.535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:22.366392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.656
5-th percentile71.8252
Q175.942
median78.5
Q380.689
95-th percentile84.2658
Maximum88.535
Range19.879
Interquartile range (IQR)4.747

Descriptive statistics

Standard deviation3.9353272
Coefficient of variation (CV)0.050261429
Kurtosis-0.056491172
Mean78.297161
Median Absolute Deviation (MAD)2.3
Skewness-0.0043171281
Sum7281.636
Variance15.4868
MonotonicityNot monotonic
2023-12-13T03:53:22.622144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.126 2
 
1.8%
80.028 1
 
0.9%
82.329 1
 
0.9%
82.471 1
 
0.9%
78.331 1
 
0.9%
68.656 1
 
0.9%
83.334 1
 
0.9%
77.131 1
 
0.9%
79.493 1
 
0.9%
72.316 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 18
 
16.2%
ValueCountFrequency (%)
68.656 1
0.9%
70.451 1
0.9%
70.911 1
0.9%
71.47 1
0.9%
71.5 1
0.9%
72.042 1
0.9%
72.316 1
0.9%
72.556 1
0.9%
73.027 1
0.9%
73.129 1
0.9%
ValueCountFrequency (%)
88.535 1
0.9%
87.333 1
0.9%
87.05 1
0.9%
84.982 1
0.9%
84.975 1
0.9%
83.793 1
0.9%
83.334 1
0.9%
83.173 1
0.9%
83.143 1
0.9%
82.865 1
0.9%

2016-11
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean78.510745
Minimum68.827
Maximum88.637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:22.848317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.827
5-th percentile72.1217
Q176.093
median78.751
Q380.849
95-th percentile84.3516
Maximum88.637
Range19.81
Interquartile range (IQR)4.756

Descriptive statistics

Standard deviation3.8928474
Coefficient of variation (CV)0.049583625
Kurtosis-0.068174135
Mean78.510745
Median Absolute Deviation (MAD)2.287
Skewness-0.0015650763
Sum7380.01
Variance15.154261
MonotonicityNot monotonic
2023-12-13T03:53:23.069688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.093 2
 
1.8%
77.226 1
 
0.9%
82.457 1
 
0.9%
82.382 1
 
0.9%
78.567 1
 
0.9%
68.827 1
 
0.9%
83.765 1
 
0.9%
77.179 1
 
0.9%
79.534 1
 
0.9%
72.359 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
68.827 1
0.9%
70.884 1
0.9%
71.334 1
0.9%
71.629 1
0.9%
71.681 1
0.9%
72.359 1
0.9%
72.903 1
0.9%
72.982 1
0.9%
73.249 1
0.9%
73.331 1
0.9%
ValueCountFrequency (%)
88.637 1
0.9%
87.455 1
0.9%
87.076 1
0.9%
85.117 1
0.9%
85.103 1
0.9%
83.947 1
0.9%
83.765 1
0.9%
83.623 1
0.9%
83.328 1
0.9%
83.047 1
0.9%

2016-12
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)97.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean78.679521
Minimum68.9
Maximum88.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:23.280411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.9
5-th percentile72.3708
Q176.26675
median78.8475
Q380.947
95-th percentile84.38415
Maximum88.696
Range19.796
Interquartile range (IQR)4.68025

Descriptive statistics

Standard deviation3.8294057
Coefficient of variation (CV)0.048670933
Kurtosis-0.061255016
Mean78.679521
Median Absolute Deviation (MAD)2.2975
Skewness0.0070749158
Sum7395.875
Variance14.664348
MonotonicityNot monotonic
2023-12-13T03:53:23.482313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.481 2
 
1.8%
80.947 2
 
1.8%
81.716 1
 
0.9%
82.437 1
 
0.9%
78.708 1
 
0.9%
68.9 1
 
0.9%
83.838 1
 
0.9%
77.215 1
 
0.9%
79.615 1
 
0.9%
72.585 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
68.9 1
0.9%
71.659 1
0.9%
71.688 1
0.9%
71.864 1
0.9%
71.973 1
0.9%
72.585 1
0.9%
73.283 1
0.9%
73.53 1
0.9%
73.544 1
0.9%
73.656 1
0.9%
ValueCountFrequency (%)
88.696 1
0.9%
87.565 1
0.9%
86.816 1
0.9%
85.278 1
0.9%
85.196 1
0.9%
83.947 1
0.9%
83.838 1
0.9%
83.825 1
0.9%
83.554 1
0.9%
83.251 1
0.9%

2017-01
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean78.834277
Minimum68.983
Maximum88.743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:23.722351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.983
5-th percentile72.85605
Q176.514
median78.967
Q381.11925
95-th percentile84.54395
Maximum88.743
Range19.76
Interquartile range (IQR)4.60525

Descriptive statistics

Standard deviation3.7976615
Coefficient of variation (CV)0.048172719
Kurtosis-0.057279141
Mean78.834277
Median Absolute Deviation (MAD)2.299
Skewness0.0052020727
Sum7410.422
Variance14.422233
MonotonicityNot monotonic
2023-12-13T03:53:23.916845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.471 1
 
0.9%
82.59 1
 
0.9%
82.476 1
 
0.9%
78.885 1
 
0.9%
68.983 1
 
0.9%
83.859 1
 
0.9%
77.267 1
 
0.9%
79.695 1
 
0.9%
73.156 1
 
0.9%
80.427 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
68.983 1
0.9%
71.688 1
0.9%
72.094 1
0.9%
72.149 1
0.9%
72.299 1
0.9%
73.156 1
0.9%
73.491 1
0.9%
73.636 1
0.9%
73.686 1
0.9%
73.71 1
0.9%
ValueCountFrequency (%)
88.743 1
0.9%
87.652 1
0.9%
86.817 1
0.9%
85.357 1
0.9%
85.348 1
0.9%
84.111 1
0.9%
83.947 1
0.9%
83.859 1
0.9%
83.668 1
0.9%
83.512 1
0.9%

2017-02
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean79.004394
Minimum69.114
Maximum88.786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:24.094706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.114
5-th percentile73.25975
Q176.7745
median79.1425
Q381.3525
95-th percentile84.7169
Maximum88.786
Range19.672
Interquartile range (IQR)4.578

Descriptive statistics

Standard deviation3.7682873
Coefficient of variation (CV)0.047697186
Kurtosis-0.0089335331
Mean79.004394
Median Absolute Deviation (MAD)2.2675
Skewness-0.0031084189
Sum7426.413
Variance14.199989
MonotonicityNot monotonic
2023-12-13T03:53:24.294685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.873 1
 
0.9%
82.659 1
 
0.9%
82.498 1
 
0.9%
79.107 1
 
0.9%
69.114 1
 
0.9%
83.292 1
 
0.9%
77.37 1
 
0.9%
79.794 1
 
0.9%
73.545 1
 
0.9%
80.613 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
69.114 1
0.9%
71.357 1
0.9%
72.49 1
0.9%
72.686 1
0.9%
72.73 1
0.9%
73.545 1
0.9%
73.652 1
0.9%
73.694 1
0.9%
73.768 1
0.9%
74.011 1
0.9%
ValueCountFrequency (%)
88.786 1
0.9%
87.776 1
0.9%
87.224 1
0.9%
85.483 1
0.9%
85.363 1
0.9%
84.369 1
0.9%
83.947 1
0.9%
83.881 1
0.9%
83.746 1
0.9%
83.593 1
0.9%

2017-03
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean79.239085
Minimum69.254
Maximum88.908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:24.506445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.254
5-th percentile73.41745
Q176.97175
median79.366
Q381.5365
95-th percentile85.2861
Maximum88.908
Range19.654
Interquartile range (IQR)4.56475

Descriptive statistics

Standard deviation3.7726763
Coefficient of variation (CV)0.047611305
Kurtosis0.009236072
Mean79.239085
Median Absolute Deviation (MAD)2.306
Skewness-0.0023084248
Sum7448.474
Variance14.233086
MonotonicityNot monotonic
2023-12-13T03:53:24.717928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.255 2
 
1.8%
81.046 1
 
0.9%
79.725 1
 
0.9%
82.891 1
 
0.9%
82.656 1
 
0.9%
69.254 1
 
0.9%
83.48 1
 
0.9%
77.492 1
 
0.9%
79.891 1
 
0.9%
73.59 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
69.254 1
0.9%
71.209 1
0.9%
72.859 1
0.9%
72.975 1
0.9%
73.097 1
0.9%
73.59 1
0.9%
73.953 1
0.9%
74.044 1
0.9%
74.138 1
0.9%
74.172 1
0.9%
ValueCountFrequency (%)
88.908 1
0.9%
87.882 1
0.9%
87.527 1
0.9%
85.734 1
0.9%
85.667 1
0.9%
85.081 1
0.9%
84.632 1
0.9%
84.07 1
0.9%
83.906 1
0.9%
83.701 1
0.9%

2017-04
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean79.529553
Minimum69.531
Maximum89.064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:24.942237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.531
5-th percentile73.83855
Q177.28375
median79.725
Q381.99
95-th percentile85.4203
Maximum89.064
Range19.533
Interquartile range (IQR)4.70625

Descriptive statistics

Standard deviation3.7359114
Coefficient of variation (CV)0.046975134
Kurtosis-0.017164025
Mean79.529553
Median Absolute Deviation (MAD)2.3885
Skewness-0.0034615745
Sum7475.778
Variance13.957034
MonotonicityNot monotonic
2023-12-13T03:53:25.215766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.021 1
 
0.9%
83.126 1
 
0.9%
82.681 1
 
0.9%
79.471 1
 
0.9%
69.531 1
 
0.9%
83.571 1
 
0.9%
77.697 1
 
0.9%
79.891 1
 
0.9%
74.114 1
 
0.9%
81.103 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
69.531 1
0.9%
71.864 1
0.9%
73.163 1
0.9%
73.318 1
0.9%
73.327 1
0.9%
74.114 1
0.9%
74.183 1
0.9%
74.397 1
0.9%
74.576 1
0.9%
74.636 1
0.9%
ValueCountFrequency (%)
89.064 1
0.9%
87.999 1
0.9%
87.735 1
0.9%
86.148 1
0.9%
85.848 1
0.9%
85.19 1
0.9%
84.951 1
0.9%
84.297 1
0.9%
84.124 1
0.9%
84.06 1
0.9%

2017-05
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean79.865691
Minimum69.697
Maximum89.131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:25.430635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.697
5-th percentile74.05305
Q177.676
median79.9625
Q382.25375
95-th percentile85.58835
Maximum89.131
Range19.434
Interquartile range (IQR)4.57775

Descriptive statistics

Standard deviation3.6911567
Coefficient of variation (CV)0.046217051
Kurtosis-0.019983822
Mean79.865691
Median Absolute Deviation (MAD)2.313
Skewness-0.015026558
Sum7507.375
Variance13.624638
MonotonicityNot monotonic
2023-12-13T03:53:25.655493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.665 1
 
0.9%
83.27 1
 
0.9%
82.778 1
 
0.9%
79.702 1
 
0.9%
69.697 1
 
0.9%
83.994 1
 
0.9%
78.081 1
 
0.9%
80.691 1
 
0.9%
74.094 1
 
0.9%
81.189 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
69.697 1
0.9%
72.733 1
0.9%
73.63 1
0.9%
73.909 1
0.9%
73.977 1
0.9%
74.094 1
0.9%
74.544 1
0.9%
74.637 1
0.9%
74.681 1
0.9%
74.855 1
0.9%
ValueCountFrequency (%)
89.131 1
0.9%
88.109 1
0.9%
88.046 1
0.9%
86.549 1
0.9%
85.992 1
0.9%
85.371 1
0.9%
85.272 1
0.9%
84.468 1
0.9%
84.321 1
0.9%
84.256 1
0.9%

2017-06
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean80.193043
Minimum69.87
Maximum89.296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:25.908073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.87
5-th percentile74.59385
Q178.05
median80.2895
Q382.45425
95-th percentile85.85625
Maximum89.296
Range19.426
Interquartile range (IQR)4.40425

Descriptive statistics

Standard deviation3.6171011
Coefficient of variation (CV)0.045104924
Kurtosis0.052966991
Mean80.193043
Median Absolute Deviation (MAD)2.219
Skewness-0.029566072
Sum7538.146
Variance13.08342
MonotonicityNot monotonic
2023-12-13T03:53:26.168478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.881 2
 
1.8%
80.349 1
 
0.9%
83.039 1
 
0.9%
79.982 1
 
0.9%
69.87 1
 
0.9%
84.205 1
 
0.9%
78.165 1
 
0.9%
80.733 1
 
0.9%
74.339 1
 
0.9%
81.259 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
69.87 1
0.9%
73.665 1
0.9%
73.963 1
0.9%
74.339 1
0.9%
74.445 1
0.9%
74.674 1
0.9%
74.824 1
0.9%
75.002 1
0.9%
75.085 1
0.9%
75.145 1
0.9%
ValueCountFrequency (%)
89.296 1
0.9%
88.173 1
0.9%
88.167 1
0.9%
86.747 1
0.9%
86.204 1
0.9%
85.669 1
0.9%
85.542 1
0.9%
84.737 1
0.9%
84.642 1
0.9%
84.545 1
0.9%

2017-07
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean80.514553
Minimum70.076
Maximum89.297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:26.450837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.076
5-th percentile75.01105
Q178.31125
median80.571
Q382.79875
95-th percentile86.09925
Maximum89.297
Range19.221
Interquartile range (IQR)4.4875

Descriptive statistics

Standard deviation3.5700627
Coefficient of variation (CV)0.044340588
Kurtosis0.074510659
Mean80.514553
Median Absolute Deviation (MAD)2.2805
Skewness-0.077593535
Sum7568.368
Variance12.745347
MonotonicityNot monotonic
2023-12-13T03:53:26.838732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.064 1
 
0.9%
83.639 1
 
0.9%
83.144 1
 
0.9%
80.207 1
 
0.9%
70.076 1
 
0.9%
84.38 1
 
0.9%
78.558 1
 
0.9%
80.847 1
 
0.9%
74.617 1
 
0.9%
81.534 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
70.076 1
0.9%
73.806 1
0.9%
74.415 1
0.9%
74.617 1
0.9%
74.805 1
0.9%
75.122 1
0.9%
75.148 1
0.9%
75.366 1
0.9%
75.442 1
0.9%
75.508 1
0.9%
ValueCountFrequency (%)
89.297 1
0.9%
88.34 1
0.9%
88.068 1
0.9%
87.117 1
0.9%
86.447 1
0.9%
85.912 1
0.9%
85.618 1
0.9%
85.217 1
0.9%
84.942 1
0.9%
84.795 1
0.9%

2017-08
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean80.819957
Minimum70.288
Maximum89.283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:27.150160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.288
5-th percentile75.33905
Q178.7145
median80.911
Q382.99325
95-th percentile86.44155
Maximum89.283
Range18.995
Interquartile range (IQR)4.27875

Descriptive statistics

Standard deviation3.4971174
Coefficient of variation (CV)0.043270468
Kurtosis0.13386628
Mean80.819957
Median Absolute Deviation (MAD)2.195
Skewness-0.10991725
Sum7597.076
Variance12.22983
MonotonicityNot monotonic
2023-12-13T03:53:27.973041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.238 1
 
0.9%
83.818 1
 
0.9%
83.205 1
 
0.9%
80.42 1
 
0.9%
70.288 1
 
0.9%
84.641 1
 
0.9%
79.003 1
 
0.9%
80.919 1
 
0.9%
74.878 1
 
0.9%
81.694 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
70.288 1
0.9%
74.279 1
0.9%
74.878 1
0.9%
74.938 1
0.9%
75.107 1
0.9%
75.464 1
0.9%
75.581 1
0.9%
75.85 1
0.9%
75.948 1
0.9%
75.99 1
0.9%
ValueCountFrequency (%)
89.283 1
0.9%
88.448 1
0.9%
88.101 1
0.9%
87.22 1
0.9%
86.645 1
0.9%
86.332 1
0.9%
85.832 1
0.9%
85.313 1
0.9%
85.3 1
0.9%
84.915 1
0.9%

2017-09
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean81.096777
Minimum70.532
Maximum89.307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:28.303435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.532
5-th percentile75.7457
Q178.84875
median81.208
Q383.349
95-th percentile86.63525
Maximum89.307
Range18.775
Interquartile range (IQR)4.50025

Descriptive statistics

Standard deviation3.4714017
Coefficient of variation (CV)0.042805669
Kurtosis0.13406827
Mean81.096777
Median Absolute Deviation (MAD)2.262
Skewness-0.12014477
Sum7623.097
Variance12.05063
MonotonicityNot monotonic
2023-12-13T03:53:28.614133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.749 2
 
1.8%
82.409 1
 
0.9%
83.937 1
 
0.9%
83.346 1
 
0.9%
80.618 1
 
0.9%
70.532 1
 
0.9%
85.132 1
 
0.9%
79.156 1
 
0.9%
80.925 1
 
0.9%
75.336 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
70.532 1
0.9%
74.387 1
0.9%
75.09 1
0.9%
75.336 1
0.9%
75.734 1
0.9%
75.752 1
0.9%
76.054 1
0.9%
76.22 1
0.9%
76.221 1
0.9%
76.329 1
0.9%
ValueCountFrequency (%)
89.307 1
0.9%
88.657 1
0.9%
88.242 1
0.9%
87.335 1
0.9%
86.671 1
0.9%
86.616 1
0.9%
86.524 1
0.9%
85.747 1
0.9%
85.536 1
0.9%
85.14 1
0.9%

2017-10
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean81.338606
Minimum70.777
Maximum89.393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:28.917312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.777
5-th percentile76.17315
Q179.08
median81.4995
Q383.5615
95-th percentile86.9693
Maximum89.393
Range18.616
Interquartile range (IQR)4.4815

Descriptive statistics

Standard deviation3.4390447
Coefficient of variation (CV)0.042280595
Kurtosis0.16712357
Mean81.338606
Median Absolute Deviation (MAD)2.3245
Skewness-0.11194128
Sum7645.829
Variance11.827028
MonotonicityNot monotonic
2023-12-13T03:53:29.253258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.215 2
 
1.8%
82.143 1
 
0.9%
81.424 1
 
0.9%
84.072 1
 
0.9%
83.374 1
 
0.9%
80.788 1
 
0.9%
70.777 1
 
0.9%
85.384 1
 
0.9%
79.312 1
 
0.9%
80.922 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
70.777 1
0.9%
74.851 1
0.9%
75.343 1
0.9%
75.69 1
0.9%
76.023 1
0.9%
76.254 1
0.9%
76.43 1
0.9%
76.431 1
0.9%
76.526 1
0.9%
76.544 1
0.9%
ValueCountFrequency (%)
89.393 1
0.9%
88.812 1
0.9%
88.757 1
0.9%
87.335 1
0.9%
87.059 1
0.9%
86.921 1
0.9%
86.594 1
0.9%
86.061 1
0.9%
85.586 1
0.9%
85.384 1
0.9%

2017-11
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean81.613862
Minimum70.937
Maximum89.425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:29.559495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.937
5-th percentile76.4781
Q179.318
median81.7715
Q383.782
95-th percentile87.12935
Maximum89.425
Range18.488
Interquartile range (IQR)4.464

Descriptive statistics

Standard deviation3.3818731
Coefficient of variation (CV)0.041437484
Kurtosis0.24448739
Mean81.613862
Median Absolute Deviation (MAD)2.3265
Skewness-0.12008326
Sum7671.703
Variance11.437065
MonotonicityNot monotonic
2023-12-13T03:53:29.834084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.835 2
 
1.8%
83.48 1
 
0.9%
80.956 1
 
0.9%
70.937 1
 
0.9%
85.456 1
 
0.9%
79.384 1
 
0.9%
81.117 1
 
0.9%
76.125 1
 
0.9%
82.527 1
 
0.9%
82.981 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
70.937 1
0.9%
75.779 1
0.9%
75.815 1
0.9%
76.125 1
0.9%
76.339 1
0.9%
76.553 1
0.9%
76.667 1
0.9%
76.828 1
0.9%
76.846 1
0.9%
76.967 1
0.9%
ValueCountFrequency (%)
89.425 1
0.9%
89.152 1
0.9%
88.998 1
0.9%
87.501 1
0.9%
87.312 1
0.9%
87.031 1
0.9%
86.719 1
0.9%
86.148 1
0.9%
85.691 1
0.9%
85.678 1
0.9%

2017-12
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean81.873489
Minimum71.207
Maximum89.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:30.097687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.207
5-th percentile76.59825
Q179.57175
median82.0795
Q384.068
95-th percentile87.35755
Maximum89.508
Range18.301
Interquartile range (IQR)4.49625

Descriptive statistics

Standard deviation3.3681559
Coefficient of variation (CV)0.041138542
Kurtosis0.24353725
Mean81.873489
Median Absolute Deviation (MAD)2.283
Skewness-0.13470416
Sum7696.108
Variance11.344474
MonotonicityNot monotonic
2023-12-13T03:53:30.385758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.143 1
 
0.9%
84.37 1
 
0.9%
84.096 1
 
0.9%
81.139 1
 
0.9%
71.207 1
 
0.9%
85.468 1
 
0.9%
79.592 1
 
0.9%
81.117 1
 
0.9%
76.497 1
 
0.9%
82.96 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
71.207 1
0.9%
75.864 1
0.9%
76.235 1
0.9%
76.497 1
0.9%
76.504 1
0.9%
76.649 1
0.9%
77.102 1
0.9%
77.142 1
0.9%
77.16 1
0.9%
77.276 1
0.9%
ValueCountFrequency (%)
89.508 1
0.9%
89.387 1
0.9%
89.248 1
0.9%
87.744 1
0.9%
87.704 1
0.9%
87.171 1
0.9%
87.076 1
0.9%
86.221 1
0.9%
86.053 1
0.9%
85.845 1
0.9%

2018-01
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean82.12317
Minimum71.436
Maximum89.534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:30.619726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.436
5-th percentile76.87455
Q179.85875
median82.2465
Q384.392
95-th percentile87.49905
Maximum89.534
Range18.098
Interquartile range (IQR)4.53325

Descriptive statistics

Standard deviation3.3296115
Coefficient of variation (CV)0.040544118
Kurtosis0.26655386
Mean82.12317
Median Absolute Deviation (MAD)2.285
Skewness-0.15057029
Sum7719.578
Variance11.086313
MonotonicityNot monotonic
2023-12-13T03:53:30.850362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.3 2
 
1.8%
83.278 1
 
0.9%
82.797 1
 
0.9%
84.513 1
 
0.9%
84.284 1
 
0.9%
81.429 1
 
0.9%
71.436 1
 
0.9%
85.671 1
 
0.9%
79.853 1
 
0.9%
81.104 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
71.436 1
0.9%
76.38 1
0.9%
76.433 1
0.9%
76.719 1
0.9%
76.792 1
0.9%
76.919 1
0.9%
77.409 1
0.9%
77.428 1
0.9%
77.539 1
0.9%
77.646 1
0.9%
ValueCountFrequency (%)
89.534 1
0.9%
89.484 1
0.9%
89.387 1
0.9%
88.051 1
0.9%
87.839 1
0.9%
87.316 1
0.9%
87.076 1
0.9%
86.576 1
0.9%
86.328 1
0.9%
86.05 1
0.9%

2018-02
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean82.389096
Minimum71.724
Maximum89.692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:31.122678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.724
5-th percentile77.6404
Q180.25075
median82.43
Q384.5865
95-th percentile87.64935
Maximum89.692
Range17.968
Interquartile range (IQR)4.33575

Descriptive statistics

Standard deviation3.2581649
Coefficient of variation (CV)0.039546069
Kurtosis0.36111053
Mean82.389096
Median Absolute Deviation (MAD)2.201
Skewness-0.14233921
Sum7744.575
Variance10.615638
MonotonicityNot monotonic
2023-12-13T03:53:31.383206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.485 1
 
0.9%
84.648 1
 
0.9%
84.335 1
 
0.9%
81.807 1
 
0.9%
71.724 1
 
0.9%
85.754 1
 
0.9%
80.143 1
 
0.9%
81.484 1
 
0.9%
76.857 1
 
0.9%
83.544 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
71.724 1
0.9%
76.722 1
0.9%
76.857 1
0.9%
77.251 1
0.9%
77.331 1
0.9%
77.807 1
0.9%
77.84 1
0.9%
77.888 1
0.9%
77.957 1
0.9%
77.984 1
0.9%
ValueCountFrequency (%)
89.692 1
0.9%
89.62 1
0.9%
89.547 1
0.9%
88.491 1
0.9%
88.053 1
0.9%
87.432 1
0.9%
86.953 1
0.9%
86.672 1
0.9%
86.574 1
0.9%
86.273 1
0.9%

2018-03
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)98.9%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean82.681181
Minimum71.984
Maximum89.919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:31.661952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.984
5-th percentile77.9149
Q180.62575
median82.6665
Q384.85225
95-th percentile87.84535
Maximum89.919
Range17.935
Interquartile range (IQR)4.2265

Descriptive statistics

Standard deviation3.2194972
Coefficient of variation (CV)0.038938694
Kurtosis0.43614159
Mean82.681181
Median Absolute Deviation (MAD)2.0775
Skewness-0.14755479
Sum7772.031
Variance10.365162
MonotonicityNot monotonic
2023-12-13T03:53:31.958906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.168 2
 
1.8%
83.114 1
 
0.9%
82.941 1
 
0.9%
84.888 1
 
0.9%
84.484 1
 
0.9%
82.143 1
 
0.9%
71.984 1
 
0.9%
85.99 1
 
0.9%
80.59 1
 
0.9%
81.794 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
71.984 1
0.9%
77.069 1
0.9%
77.229 1
0.9%
77.449 1
0.9%
77.508 1
0.9%
78.134 1
0.9%
78.168 2
1.8%
78.331 1
0.9%
78.581 1
0.9%
78.643 1
0.9%
ValueCountFrequency (%)
89.919 1
0.9%
89.754 1
0.9%
89.723 1
0.9%
88.817 1
0.9%
88.288 1
0.9%
87.607 1
0.9%
87.161 1
0.9%
86.985 1
0.9%
86.911 1
0.9%
86.558 1
0.9%

2018-04
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean82.976585
Minimum72.294
Maximum90.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:32.240769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.294
5-th percentile78.1645
Q181.024
median83.0085
Q385.223
95-th percentile87.9975
Maximum90.14
Range17.846
Interquartile range (IQR)4.199

Descriptive statistics

Standard deviation3.1811691
Coefficient of variation (CV)0.038338154
Kurtosis0.5168158
Mean82.976585
Median Absolute Deviation (MAD)2.116
Skewness-0.16572775
Sum7799.799
Variance10.119837
MonotonicityNot monotonic
2023-12-13T03:53:32.495239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.73 1
 
0.9%
85.142 1
 
0.9%
84.691 1
 
0.9%
82.404 1
 
0.9%
72.294 1
 
0.9%
86.252 1
 
0.9%
80.702 1
 
0.9%
81.842 1
 
0.9%
77.377 1
 
0.9%
83.958 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
72.294 1
0.9%
77.287 1
0.9%
77.377 1
0.9%
77.61 1
0.9%
77.898 1
0.9%
78.308 1
0.9%
78.311 1
0.9%
78.835 1
0.9%
79.028 1
0.9%
79.039 1
0.9%
ValueCountFrequency (%)
90.14 1
0.9%
89.967 1
0.9%
89.95 1
0.9%
89.05 1
0.9%
88.55 1
0.9%
87.7 1
0.9%
87.366 1
0.9%
87.265 1
0.9%
87.05 1
0.9%
86.985 1
0.9%

2018-05
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean83.294351
Minimum72.575
Maximum90.241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:32.745620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.575
5-th percentile78.52275
Q181.29325
median83.4275
Q385.41575
95-th percentile88.37275
Maximum90.241
Range17.666
Interquartile range (IQR)4.1225

Descriptive statistics

Standard deviation3.1548613
Coefficient of variation (CV)0.037876053
Kurtosis0.62485125
Mean83.294351
Median Absolute Deviation (MAD)2.083
Skewness-0.19458476
Sum7829.669
Variance9.9531498
MonotonicityNot monotonic
2023-12-13T03:53:33.001455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.855 1
 
0.9%
85.37 1
 
0.9%
84.78 1
 
0.9%
82.695 1
 
0.9%
72.575 1
 
0.9%
86.289 1
 
0.9%
80.901 1
 
0.9%
82.837 1
 
0.9%
77.613 1
 
0.9%
84.155 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
72.575 1
0.9%
77.443 1
0.9%
77.469 1
0.9%
77.613 1
0.9%
78.474 1
0.9%
78.549 1
0.9%
78.601 1
0.9%
79.0 1
0.9%
79.44 1
0.9%
79.498 1
0.9%
ValueCountFrequency (%)
90.241 1
0.9%
90.156 1
0.9%
90.15 1
0.9%
89.513 1
0.9%
89.104 1
0.9%
87.979 1
0.9%
87.667 1
0.9%
87.644 1
0.9%
87.585 1
0.9%
87.039 1
0.9%

2018-06
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)100.0%
Missing17
Missing (%)15.3%
Infinite0
Infinite (%)0.0%
Mean83.612798
Minimum72.851
Maximum90.457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:33.236227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.851
5-th percentile78.8507
Q181.64575
median83.6505
Q385.604
95-th percentile88.55985
Maximum90.457
Range17.606
Interquartile range (IQR)3.95825

Descriptive statistics

Standard deviation3.1370704
Coefficient of variation (CV)0.037519022
Kurtosis0.70128832
Mean83.612798
Median Absolute Deviation (MAD)2.008
Skewness-0.20793301
Sum7859.603
Variance9.8412106
MonotonicityNot monotonic
2023-12-13T03:53:33.462976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.154 1
 
0.9%
85.598 1
 
0.9%
85.385 1
 
0.9%
82.961 1
 
0.9%
72.851 1
 
0.9%
86.738 1
 
0.9%
81.296 1
 
0.9%
83.614 1
 
0.9%
77.889 1
 
0.9%
84.337 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 17
 
15.3%
ValueCountFrequency (%)
72.851 1
0.9%
77.751 1
0.9%
77.759 1
0.9%
77.889 1
0.9%
78.696 1
0.9%
78.934 1
0.9%
79.031 1
0.9%
79.3 1
0.9%
79.879 1
0.9%
79.889 1
0.9%
ValueCountFrequency (%)
90.457 1
0.9%
90.418 1
0.9%
90.383 1
0.9%
90.001 1
0.9%
89.464 1
0.9%
88.073 1
0.9%
88.072 1
0.9%
88.006 1
0.9%
87.877 1
0.9%
87.317 1
0.9%

2018-07
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean83.981
Minimum73.18
Maximum90.678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:33.695186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.18
5-th percentile79.2067
Q182.1385
median84.023
Q385.9385
95-th percentile88.8136
Maximum90.678
Range17.498
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation3.0818121
Coefficient of variation (CV)0.036696539
Kurtosis0.84259105
Mean83.981
Median Absolute Deviation (MAD)1.919
Skewness-0.23824136
Sum7978.195
Variance9.4975657
MonotonicityNot monotonic
2023-12-13T03:53:33.937914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.271 2
 
1.8%
85.994 1
 
0.9%
85.848 1
 
0.9%
83.254 1
 
0.9%
73.18 1
 
0.9%
86.96 1
 
0.9%
81.77 1
 
0.9%
83.739 1
 
0.9%
78.27 1
 
0.9%
84.606 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
73.18 1
0.9%
78.053 1
0.9%
78.245 1
0.9%
78.27 1
0.9%
79.031 1
0.9%
79.282 1
0.9%
79.553 1
0.9%
79.767 1
0.9%
80.209 1
0.9%
80.271 2
1.8%
ValueCountFrequency (%)
90.678 1
0.9%
90.62 1
0.9%
90.604 1
0.9%
90.411 1
0.9%
89.711 1
0.9%
88.429 1
0.9%
88.378 1
0.9%
88.321 1
0.9%
88.207 1
0.9%
87.644 1
0.9%

2018-08
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean84.321495
Minimum73.465
Maximum90.883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:34.172340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.465
5-th percentile79.7091
Q182.5875
median84.28
Q386.3435
95-th percentile89.2316
Maximum90.883
Range17.418
Interquartile range (IQR)3.756

Descriptive statistics

Standard deviation3.037237
Coefficient of variation (CV)0.036019724
Kurtosis0.95459433
Mean84.321495
Median Absolute Deviation (MAD)2.021
Skewness-0.26638447
Sum8010.542
Variance9.2248086
MonotonicityNot monotonic
2023-12-13T03:53:34.372905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.64 1
 
0.9%
86.145 1
 
0.9%
86.616 1
 
0.9%
83.679 1
 
0.9%
73.465 1
 
0.9%
87.018 1
 
0.9%
82.021 1
 
0.9%
84.468 1
 
0.9%
78.549 1
 
0.9%
84.906 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
73.465 1
0.9%
78.549 1
0.9%
78.631 1
0.9%
78.713 1
0.9%
79.49 1
0.9%
79.803 1
0.9%
79.958 1
0.9%
80.36 1
0.9%
80.54 1
0.9%
80.599 1
0.9%
ValueCountFrequency (%)
90.883 1
0.9%
90.867 1
0.9%
90.8 1
0.9%
90.629 1
0.9%
89.989 1
0.9%
88.907 1
0.9%
88.647 1
0.9%
88.559 1
0.9%
88.523 1
0.9%
87.856 1
0.9%

2018-09
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean84.693568
Minimum73.782
Maximum91.066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:35.041649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.782
5-th percentile80.0737
Q183.041
median84.713
Q386.561
95-th percentile89.5499
Maximum91.066
Range17.284
Interquartile range (IQR)3.52

Descriptive statistics

Standard deviation2.9877698
Coefficient of variation (CV)0.035277411
Kurtosis1.0861739
Mean84.693568
Median Absolute Deviation (MAD)1.8
Skewness-0.33264527
Sum8045.889
Variance8.9267684
MonotonicityNot monotonic
2023-12-13T03:53:35.243278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.126 1
 
0.9%
86.377 1
 
0.9%
87.087 1
 
0.9%
84.156 1
 
0.9%
73.782 1
 
0.9%
87.433 1
 
0.9%
82.157 1
 
0.9%
84.636 1
 
0.9%
78.89 1
 
0.9%
85.571 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
73.782 1
0.9%
78.89 1
0.9%
79.088 1
0.9%
79.27 1
0.9%
79.786 1
0.9%
80.197 1
0.9%
80.514 1
0.9%
80.865 1
0.9%
80.896 1
0.9%
80.911 1
0.9%
ValueCountFrequency (%)
91.066 1
0.9%
91.001 1
0.9%
90.935 1
0.9%
90.931 1
0.9%
90.266 1
0.9%
89.243 1
0.9%
88.852 1
0.9%
88.83 1
0.9%
88.712 1
0.9%
88.111 1
0.9%

2018-10
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean85.094653
Minimum74.124
Maximum91.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:35.456208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.124
5-th percentile80.4165
Q183.5675
median84.968
Q386.841
95-th percentile89.763
Maximum91.37
Range17.246
Interquartile range (IQR)3.2735

Descriptive statistics

Standard deviation2.9434701
Coefficient of variation (CV)0.034590541
Kurtosis1.2742865
Mean85.094653
Median Absolute Deviation (MAD)1.825
Skewness-0.41081106
Sum8083.992
Variance8.6640161
MonotonicityNot monotonic
2023-12-13T03:53:35.685770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.689 2
 
1.8%
91.168 2
 
1.8%
84.848 1
 
0.9%
86.581 1
 
0.9%
87.467 1
 
0.9%
84.53 1
 
0.9%
74.124 1
 
0.9%
87.619 1
 
0.9%
82.602 1
 
0.9%
84.75 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
74.124 1
0.9%
79.061 1
0.9%
79.527 1
0.9%
79.671 1
0.9%
79.888 1
0.9%
80.643 1
0.9%
80.997 1
0.9%
81.083 1
0.9%
81.38 1
0.9%
81.388 1
0.9%
ValueCountFrequency (%)
91.37 1
0.9%
91.168 2
1.8%
91.059 1
0.9%
90.575 1
0.9%
89.415 1
0.9%
89.322 1
0.9%
89.126 1
0.9%
88.862 1
0.9%
88.611 1
0.9%
88.4 1
0.9%

2018-11
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean85.492211
Minimum74.46
Maximum91.712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:35.950414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.46
5-th percentile80.888
Q183.912
median85.509
Q387.2455
95-th percentile90.0573
Maximum91.712
Range17.252
Interquartile range (IQR)3.3335

Descriptive statistics

Standard deviation2.9001782
Coefficient of variation (CV)0.033923304
Kurtosis1.4719839
Mean85.492211
Median Absolute Deviation (MAD)1.68
Skewness-0.47331699
Sum8121.76
Variance8.4110337
MonotonicityNot monotonic
2023-12-13T03:53:36.188674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.036 1
 
0.9%
86.89 1
 
0.9%
88.057 1
 
0.9%
85.031 1
 
0.9%
74.46 1
 
0.9%
87.771 1
 
0.9%
82.738 1
 
0.9%
84.99 1
 
0.9%
79.381 1
 
0.9%
86.14 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
74.46 1
0.9%
79.381 1
0.9%
80.004 1
0.9%
80.02 1
0.9%
80.146 1
0.9%
81.206 1
0.9%
81.381 1
0.9%
81.58 1
0.9%
81.82 1
0.9%
82.03 1
0.9%
ValueCountFrequency (%)
91.712 1
0.9%
91.619 1
0.9%
91.327 1
0.9%
91.22 1
0.9%
90.912 1
0.9%
89.691 1
0.9%
89.518 1
0.9%
89.308 1
0.9%
89.186 1
0.9%
88.993 1
0.9%

2018-12
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean85.826968
Minimum74.784
Maximum91.967
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:36.437121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.784
5-th percentile81.1735
Q184.239
median85.937
Q387.605
95-th percentile90.274
Maximum91.967
Range17.183
Interquartile range (IQR)3.366

Descriptive statistics

Standard deviation2.8777807
Coefficient of variation (CV)0.033530028
Kurtosis1.554827
Mean85.826968
Median Absolute Deviation (MAD)1.672
Skewness-0.52186544
Sum8153.562
Variance8.2816216
MonotonicityNot monotonic
2023-12-13T03:53:36.676539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.333 1
 
0.9%
87.138 1
 
0.9%
88.418 1
 
0.9%
85.512 1
 
0.9%
74.784 1
 
0.9%
87.837 1
 
0.9%
83.081 1
 
0.9%
85.26 1
 
0.9%
79.617 1
 
0.9%
86.314 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
74.784 1
0.9%
79.617 1
0.9%
80.285 1
0.9%
80.407 1
0.9%
80.512 1
0.9%
81.457 1
0.9%
81.704 1
0.9%
81.971 1
0.9%
82.307 1
0.9%
82.328 1
0.9%
ValueCountFrequency (%)
91.967 1
0.9%
91.89 1
0.9%
91.584 1
0.9%
91.429 1
0.9%
91.058 1
0.9%
89.938 1
0.9%
89.728 1
0.9%
89.673 1
0.9%
89.446 1
0.9%
89.323 1
0.9%

2019-01
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean86.135653
Minimum75.123
Maximum92.309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:36.933939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.123
5-th percentile81.4268
Q184.5805
median86.276
Q387.875
95-th percentile90.4949
Maximum92.309
Range17.186
Interquartile range (IQR)3.2945

Descriptive statistics

Standard deviation2.8700705
Coefficient of variation (CV)0.033320355
Kurtosis1.5703405
Mean86.135653
Median Absolute Deviation (MAD)1.678
Skewness-0.55850983
Sum8182.887
Variance8.2373047
MonotonicityNot monotonic
2023-12-13T03:53:37.172471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.613 1
 
0.9%
87.322 1
 
0.9%
88.646 1
 
0.9%
85.89 1
 
0.9%
75.123 1
 
0.9%
87.971 1
 
0.9%
83.218 1
 
0.9%
85.895 1
 
0.9%
79.882 1
 
0.9%
86.661 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
75.123 1
0.9%
79.882 1
0.9%
80.501 1
0.9%
80.671 1
0.9%
80.766 1
0.9%
81.71 1
0.9%
82.186 1
0.9%
82.245 1
0.9%
82.307 1
0.9%
82.63 1
0.9%
ValueCountFrequency (%)
92.309 1
0.9%
92.281 1
0.9%
91.668 1
0.9%
91.635 1
0.9%
91.239 1
0.9%
90.176 1
0.9%
89.956 1
0.9%
89.923 1
0.9%
89.81 1
0.9%
89.667 1
0.9%

2019-02
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean86.387295
Minimum75.299
Maximum92.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:37.391725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.299
5-th percentile81.5817
Q185.032
median86.55
Q388.122
95-th percentile90.7444
Maximum92.63
Range17.331
Interquartile range (IQR)3.09

Descriptive statistics

Standard deviation2.8753634
Coefficient of variation (CV)0.033284564
Kurtosis1.6380385
Mean86.387295
Median Absolute Deviation (MAD)1.551
Skewness-0.59060096
Sum8206.793
Variance8.2677149
MonotonicityNot monotonic
2023-12-13T03:53:37.592712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.837 1
 
0.9%
87.578 1
 
0.9%
88.806 1
 
0.9%
86.162 1
 
0.9%
75.299 1
 
0.9%
88.034 1
 
0.9%
83.82 1
 
0.9%
86.015 1
 
0.9%
80.169 1
 
0.9%
86.725 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
75.299 1
0.9%
80.169 1
0.9%
80.671 1
0.9%
80.793 1
0.9%
80.986 1
0.9%
81.837 1
0.9%
82.174 1
0.9%
82.404 1
0.9%
82.474 1
0.9%
82.746 1
0.9%
ValueCountFrequency (%)
92.63 1
0.9%
92.588 1
0.9%
91.78 1
0.9%
91.673 1
0.9%
91.534 1
0.9%
90.406 1
0.9%
90.297 1
0.9%
90.154 1
0.9%
90.109 1
0.9%
89.99 1
0.9%

2019-03
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean86.684116
Minimum75.529
Maximum92.929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:37.862106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.529
5-th percentile81.8209
Q185.3375
median86.929
Q388.472
95-th percentile90.9226
Maximum92.929
Range17.4
Interquartile range (IQR)3.1345

Descriptive statistics

Standard deviation2.871319
Coefficient of variation (CV)0.033123935
Kurtosis1.691221
Mean86.684116
Median Absolute Deviation (MAD)1.554
Skewness-0.65811779
Sum8234.991
Variance8.2444727
MonotonicityNot monotonic
2023-12-13T03:53:38.133569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.089 1
 
0.9%
87.886 1
 
0.9%
88.961 1
 
0.9%
86.494 1
 
0.9%
75.529 1
 
0.9%
88.375 1
 
0.9%
83.875 1
 
0.9%
86.243 1
 
0.9%
80.405 1
 
0.9%
86.929 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
75.529 1
0.9%
80.405 1
0.9%
80.734 1
0.9%
81.026 1
0.9%
81.235 1
0.9%
82.072 1
0.9%
82.377 1
0.9%
82.627 1
0.9%
82.922 1
0.9%
82.975 1
0.9%
ValueCountFrequency (%)
92.929 1
0.9%
92.657 1
0.9%
91.907 1
0.9%
91.839 1
0.9%
91.659 1
0.9%
90.607 1
0.9%
90.522 1
0.9%
90.5 1
0.9%
90.35 1
0.9%
90.184 1
0.9%

2019-04
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean86.995979
Minimum75.768
Maximum93.152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:38.378407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.768
5-th percentile82.218
Q185.6805
median87.061
Q388.8385
95-th percentile91.1901
Maximum93.152
Range17.384
Interquartile range (IQR)3.158

Descriptive statistics

Standard deviation2.8459116
Coefficient of variation (CV)0.03271314
Kurtosis1.8386387
Mean86.995979
Median Absolute Deviation (MAD)1.643
Skewness-0.69383698
Sum8264.618
Variance8.0992129
MonotonicityNot monotonic
2023-12-13T03:53:38.622407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.365 1
 
0.9%
88.087 1
 
0.9%
89.026 1
 
0.9%
86.829 1
 
0.9%
75.768 1
 
0.9%
88.818 1
 
0.9%
84.195 1
 
0.9%
86.433 1
 
0.9%
80.695 1
 
0.9%
87.015 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
75.768 1
0.9%
80.695 1
0.9%
81.06 1
0.9%
81.472 1
0.9%
81.973 1
0.9%
82.323 1
0.9%
82.392 1
0.9%
82.905 1
0.9%
83.087 1
0.9%
83.132 1
0.9%
ValueCountFrequency (%)
93.152 1
0.9%
92.942 1
0.9%
92.113 1
0.9%
92.001 1
0.9%
91.741 1
0.9%
90.954 1
0.9%
90.914 1
0.9%
90.862 1
0.9%
90.729 1
0.9%
90.319 1
0.9%

2019-05
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean87.298074
Minimum76.008
Maximum93.492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:38.860895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.008
5-th percentile82.5185
Q185.9855
median87.456
Q389.046
95-th percentile91.4155
Maximum93.492
Range17.484
Interquartile range (IQR)3.0605

Descriptive statistics

Standard deviation2.8289993
Coefficient of variation (CV)0.032406205
Kurtosis1.9060172
Mean87.298074
Median Absolute Deviation (MAD)1.586
Skewness-0.70691913
Sum8293.317
Variance8.0032368
MonotonicityNot monotonic
2023-12-13T03:53:39.107664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.663 1
 
0.9%
88.342 1
 
0.9%
89.303 1
 
0.9%
87.149 1
 
0.9%
76.008 1
 
0.9%
88.903 1
 
0.9%
84.565 1
 
0.9%
86.681 1
 
0.9%
81.096 1
 
0.9%
87.129 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
76.008 1
0.9%
81.096 1
0.9%
81.634 1
0.9%
81.902 1
0.9%
82.263 1
0.9%
82.628 1
0.9%
82.793 1
0.9%
83.163 1
0.9%
83.382 1
0.9%
83.61 1
0.9%
ValueCountFrequency (%)
93.492 1
0.9%
93.22 1
0.9%
92.219 1
0.9%
92.143 1
0.9%
91.902 1
0.9%
91.207 1
0.9%
91.184 1
0.9%
91.121 1
0.9%
91.047 1
0.9%
90.68 1
0.9%

2019-06
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean87.603937
Minimum76.338
Maximum93.826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:39.364003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.338
5-th percentile82.8759
Q186.258
median87.71
Q389.2825
95-th percentile91.689
Maximum93.826
Range17.488
Interquartile range (IQR)3.0245

Descriptive statistics

Standard deviation2.8011359
Coefficient of variation (CV)0.031975
Kurtosis1.9618959
Mean87.603937
Median Absolute Deviation (MAD)1.526
Skewness-0.71235569
Sum8322.374
Variance7.8463622
MonotonicityNot monotonic
2023-12-13T03:53:39.609149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.236 2
 
1.8%
86.391 1
 
0.9%
88.623 1
 
0.9%
89.611 1
 
0.9%
87.605 1
 
0.9%
76.338 1
 
0.9%
89.329 1
 
0.9%
85.071 1
 
0.9%
86.834 1
 
0.9%
81.609 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
76.338 1
0.9%
81.609 1
0.9%
82.021 1
0.9%
82.322 1
0.9%
82.521 1
0.9%
83.028 1
0.9%
83.188 1
0.9%
83.567 1
0.9%
83.838 1
0.9%
84.023 1
0.9%
ValueCountFrequency (%)
93.826 1
0.9%
93.483 1
0.9%
92.334 1
0.9%
92.322 1
0.9%
92.102 1
0.9%
91.512 1
0.9%
91.418 1
0.9%
91.417 1
0.9%
91.211 1
0.9%
91.088 1
0.9%

2019-07
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean87.939579
Minimum76.697
Maximum94.193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:39.860609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.697
5-th percentile83.3999
Q186.6435
median88.046
Q389.6325
95-th percentile91.9598
Maximum94.193
Range17.496
Interquartile range (IQR)2.989

Descriptive statistics

Standard deviation2.7596385
Coefficient of variation (CV)0.031381074
Kurtosis2.1369382
Mean87.939579
Median Absolute Deviation (MAD)1.432
Skewness-0.73097289
Sum8354.26
Variance7.6156044
MonotonicityNot monotonic
2023-12-13T03:53:40.128351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.319 1
 
0.9%
88.799 1
 
0.9%
90.032 1
 
0.9%
88.108 1
 
0.9%
76.697 1
 
0.9%
89.904 1
 
0.9%
85.456 1
 
0.9%
87.067 1
 
0.9%
82.046 1
 
0.9%
87.667 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
76.697 1
0.9%
82.046 1
0.9%
82.316 1
0.9%
82.676 1
0.9%
82.863 1
0.9%
83.63 1
0.9%
83.751 1
0.9%
84.104 1
0.9%
84.243 1
0.9%
84.416 1
0.9%
ValueCountFrequency (%)
94.193 1
0.9%
93.724 1
0.9%
92.665 1
0.9%
92.537 1
0.9%
92.146 1
0.9%
91.88 1
0.9%
91.868 1
0.9%
91.622 1
0.9%
91.587 1
0.9%
91.428 1
0.9%

2019-08
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean88.262316
Minimum76.944
Maximum94.346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:40.382853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.944
5-th percentile83.8581
Q186.9965
median88.424
Q389.952
95-th percentile92.2415
Maximum94.346
Range17.402
Interquartile range (IQR)2.9555

Descriptive statistics

Standard deviation2.7312677
Coefficient of variation (CV)0.03094489
Kurtosis2.3332562
Mean88.262316
Median Absolute Deviation (MAD)1.473
Skewness-0.79048316
Sum8384.92
Variance7.4598232
MonotonicityNot monotonic
2023-12-13T03:53:40.620921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.697 1
 
0.9%
88.985 1
 
0.9%
90.215 1
 
0.9%
88.551 1
 
0.9%
76.944 1
 
0.9%
90.178 1
 
0.9%
86.052 1
 
0.9%
87.458 1
 
0.9%
82.375 1
 
0.9%
88.191 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
76.944 1
0.9%
82.375 1
0.9%
82.478 1
0.9%
83.122 1
0.9%
83.261 1
0.9%
84.114 1
0.9%
84.225 1
0.9%
84.577 1
0.9%
84.622 1
0.9%
84.755 1
0.9%
ValueCountFrequency (%)
94.346 1
0.9%
93.972 1
0.9%
92.876 1
0.9%
92.715 1
0.9%
92.371 1
0.9%
92.186 1
0.9%
92.156 1
0.9%
91.856 1
0.9%
91.835 1
0.9%
91.794 1
0.9%

2019-09
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean88.5738
Minimum77.247
Maximum94.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:41.393958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.247
5-th percentile84.2166
Q187.3355
median88.759
Q390.2135
95-th percentile92.5337
Maximum94.54
Range17.293
Interquartile range (IQR)2.878

Descriptive statistics

Standard deviation2.6906693
Coefficient of variation (CV)0.030377711
Kurtosis2.548618
Mean88.5738
Median Absolute Deviation (MAD)1.446
Skewness-0.85933979
Sum8414.511
Variance7.2397014
MonotonicityNot monotonic
2023-12-13T03:53:41.633959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.098 2
 
1.8%
89.987 1
 
0.9%
88.304 1
 
0.9%
90.497 1
 
0.9%
88.987 1
 
0.9%
77.247 1
 
0.9%
90.178 1
 
0.9%
86.512 1
 
0.9%
87.458 1
 
0.9%
82.687 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
77.247 1
0.9%
82.586 1
0.9%
82.687 1
0.9%
83.639 1
0.9%
83.707 1
0.9%
84.435 1
0.9%
84.694 1
0.9%
84.829 1
0.9%
84.985 1
0.9%
85.131 1
0.9%
ValueCountFrequency (%)
94.54 1
0.9%
94.109 1
0.9%
92.964 1
0.9%
92.87 1
0.9%
92.568 1
0.9%
92.519 1
0.9%
92.393 1
0.9%
92.119 1
0.9%
91.998 1
0.9%
91.876 1
0.9%

2019-10
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean88.911768
Minimum77.783
Maximum94.805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:41.896191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.783
5-th percentile84.5332
Q187.712
median89.156
Q390.5865
95-th percentile92.7036
Maximum94.805
Range17.022
Interquartile range (IQR)2.8745

Descriptive statistics

Standard deviation2.6414562
Coefficient of variation (CV)0.029708736
Kurtosis2.6156161
Mean88.911768
Median Absolute Deviation (MAD)1.455
Skewness-0.92014825
Sum8446.618
Variance6.977291
MonotonicityNot monotonic
2023-12-13T03:53:42.134797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.764 2
 
1.8%
89.691 1
 
0.9%
87.681 1
 
0.9%
89.412 1
 
0.9%
90.803 1
 
0.9%
89.406 1
 
0.9%
77.783 1
 
0.9%
90.772 1
 
0.9%
87.233 1
 
0.9%
87.772 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
77.783 1
0.9%
82.68 1
0.9%
83.132 1
0.9%
83.78 1
0.9%
84.172 1
0.9%
84.688 1
0.9%
85.13 1
0.9%
85.166 1
0.9%
85.392 1
0.9%
85.764 2
1.8%
ValueCountFrequency (%)
94.805 1
0.9%
94.206 1
0.9%
93.096 1
0.9%
92.978 1
0.9%
92.747 1
0.9%
92.685 1
0.9%
92.663 1
0.9%
92.215 1
0.9%
92.185 1
0.9%
92.139 1
0.9%

2019-11
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean89.284263
Minimum78.757
Maximum95.017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:42.359019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.757
5-th percentile85.1296
Q188.0655
median89.471
Q390.944
95-th percentile92.9743
Maximum95.017
Range16.26
Interquartile range (IQR)2.8785

Descriptive statistics

Standard deviation2.5546452
Coefficient of variation (CV)0.028612491
Kurtosis2.3435817
Mean89.284263
Median Absolute Deviation (MAD)1.411
Skewness-0.8810877
Sum8482.005
Variance6.5262121
MonotonicityNot monotonic
2023-12-13T03:53:42.578008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.793 1
 
0.9%
89.641 1
 
0.9%
91.195 1
 
0.9%
89.757 1
 
0.9%
78.757 1
 
0.9%
91.18 1
 
0.9%
87.696 1
 
0.9%
88.199 1
 
0.9%
83.79 1
 
0.9%
89.451 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
78.757 1
0.9%
82.912 1
0.9%
83.79 1
0.9%
84.58 1
0.9%
84.886 1
0.9%
85.234 1
0.9%
85.532 1
0.9%
85.606 1
0.9%
85.61 1
0.9%
86.05 1
0.9%
ValueCountFrequency (%)
95.017 1
0.9%
94.297 1
0.9%
93.319 1
0.9%
93.112 1
0.9%
93.003 1
0.9%
92.962 1
0.9%
92.866 1
0.9%
92.38 1
0.9%
92.328 1
0.9%
92.313 1
0.9%

2019-12
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean89.652926
Minimum79.525
Maximum95.334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:42.778775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.525
5-th percentile85.8547
Q188.44
median89.894
Q391.1935
95-th percentile93.2683
Maximum95.334
Range15.809
Interquartile range (IQR)2.7535

Descriptive statistics

Standard deviation2.4518994
Coefficient of variation (CV)0.027348794
Kurtosis2.4791779
Mean89.652926
Median Absolute Deviation (MAD)1.427
Skewness-0.88571864
Sum8517.028
Variance6.0118106
MonotonicityNot monotonic
2023-12-13T03:53:42.977497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.19 1
 
0.9%
89.894 1
 
0.9%
91.462 1
 
0.9%
90.242 1
 
0.9%
79.525 1
 
0.9%
91.214 1
 
0.9%
87.795 1
 
0.9%
88.467 1
 
0.9%
84.281 1
 
0.9%
89.711 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
79.525 1
0.9%
83.127 1
0.9%
84.281 1
0.9%
85.508 1
0.9%
85.588 1
0.9%
85.969 1
0.9%
86.035 1
0.9%
86.038 1
0.9%
86.334 1
0.9%
86.384 1
0.9%
ValueCountFrequency (%)
95.334 1
0.9%
94.419 1
0.9%
93.43 1
0.9%
93.305 1
0.9%
93.269 1
0.9%
93.268 1
0.9%
92.972 1
0.9%
92.696 1
0.9%
92.545 1
0.9%
92.534 1
0.9%

2020-01
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean90.025632
Minimum80.195
Maximum95.559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:43.239203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.195
5-th percentile86.285
Q188.776
median90.209
Q391.5695
95-th percentile93.5354
Maximum95.559
Range15.364
Interquartile range (IQR)2.7935

Descriptive statistics

Standard deviation2.3992966
Coefficient of variation (CV)0.026651261
Kurtosis2.403949
Mean90.025632
Median Absolute Deviation (MAD)1.429
Skewness-0.88521072
Sum8552.435
Variance5.7566241
MonotonicityNot monotonic
2023-12-13T03:53:43.537767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.091 2
 
1.8%
90.118 2
 
1.8%
88.772 1
 
0.9%
85.003 1
 
0.9%
90.209 1
 
0.9%
91.737 1
 
0.9%
90.838 1
 
0.9%
90.745 1
 
0.9%
80.195 1
 
0.9%
91.802 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
80.195 1
0.9%
83.409 1
0.9%
85.003 1
0.9%
85.945 1
0.9%
86.152 1
0.9%
86.342 1
0.9%
86.423 1
0.9%
86.481 1
0.9%
86.606 1
0.9%
86.888 1
0.9%
ValueCountFrequency (%)
95.559 1
0.9%
94.582 1
0.9%
93.733 1
0.9%
93.586 1
0.9%
93.555 1
0.9%
93.527 1
0.9%
93.255 1
0.9%
93.001 1
0.9%
92.848 1
0.9%
92.764 1
0.9%

2020-02
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean90.371705
Minimum81.075
Maximum95.761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:43.803377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.075
5-th percentile86.682
Q189.2515
median90.543
Q391.8785
95-th percentile93.8154
Maximum95.761
Range14.686
Interquartile range (IQR)2.627

Descriptive statistics

Standard deviation2.3416303
Coefficient of variation (CV)0.0259111
Kurtosis2.1555189
Mean90.371705
Median Absolute Deviation (MAD)1.348
Skewness-0.8323933
Sum8585.312
Variance5.4832323
MonotonicityNot monotonic
2023-12-13T03:53:44.040021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.838 1
 
0.9%
90.481 1
 
0.9%
92.101 1
 
0.9%
91.205 1
 
0.9%
81.075 1
 
0.9%
92.12 1
 
0.9%
88.584 1
 
0.9%
88.972 1
 
0.9%
85.771 1
 
0.9%
90.558 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
81.075 1
0.9%
83.536 1
0.9%
85.771 1
0.9%
86.438 1
0.9%
86.668 1
0.9%
86.688 1
0.9%
86.865 1
0.9%
86.934 1
0.9%
87.181 1
0.9%
87.294 1
0.9%
ValueCountFrequency (%)
95.761 1
0.9%
94.744 1
0.9%
94.021 1
0.9%
93.906 1
0.9%
93.821 1
0.9%
93.813 1
0.9%
93.79 1
0.9%
93.323 1
0.9%
93.245 1
0.9%
93.062 1
0.9%

2020-03
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean90.646221
Minimum81.752
Maximum95.902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:44.222980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.752
5-th percentile87.179
Q189.5405
median90.781
Q392.1615
95-th percentile93.8834
Maximum95.902
Range14.15
Interquartile range (IQR)2.621

Descriptive statistics

Standard deviation2.2651214
Coefficient of variation (CV)0.024988592
Kurtosis2.1630479
Mean90.646221
Median Absolute Deviation (MAD)1.369
Skewness-0.84722602
Sum8611.391
Variance5.1307751
MonotonicityNot monotonic
2023-12-13T03:53:44.400996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.119 1
 
0.9%
90.776 1
 
0.9%
92.354 1
 
0.9%
91.674 1
 
0.9%
81.752 1
 
0.9%
92.159 1
 
0.9%
88.873 1
 
0.9%
89.412 1
 
0.9%
86.161 1
 
0.9%
90.962 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
81.752 1
0.9%
83.79 1
0.9%
86.161 1
0.9%
86.98 1
0.9%
87.172 1
0.9%
87.182 1
0.9%
87.185 1
0.9%
87.404 1
0.9%
87.499 1
0.9%
87.55 1
0.9%
ValueCountFrequency (%)
95.902 1
0.9%
94.956 1
0.9%
94.081 1
0.9%
94.045 1
0.9%
93.917 1
0.9%
93.869 1
0.9%
93.855 1
0.9%
93.703 1
0.9%
93.574 1
0.9%
93.072 1
0.9%

2020-04
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean90.884853
Minimum82.433
Maximum95.983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:44.595268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.433
5-th percentile87.4183
Q189.8265
median91.083
Q392.3425
95-th percentile94.0749
Maximum95.983
Range13.55
Interquartile range (IQR)2.516

Descriptive statistics

Standard deviation2.2296548
Coefficient of variation (CV)0.024532744
Kurtosis1.8899169
Mean90.884853
Median Absolute Deviation (MAD)1.262
Skewness-0.83003051
Sum8634.061
Variance4.9713604
MonotonicityNot monotonic
2023-12-13T03:53:44.819609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.649 2
 
1.8%
94.199 1
 
0.9%
91.105 1
 
0.9%
92.592 1
 
0.9%
92.066 1
 
0.9%
82.433 1
 
0.9%
92.345 1
 
0.9%
88.966 1
 
0.9%
89.716 1
 
0.9%
86.469 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
82.433 1
0.9%
84.028 1
0.9%
86.469 1
0.9%
87.182 1
0.9%
87.3 1
0.9%
87.469 1
0.9%
87.503 1
0.9%
87.623 1
0.9%
87.752 1
0.9%
87.764 1
0.9%
ValueCountFrequency (%)
95.983 1
0.9%
95.085 1
0.9%
94.264 1
0.9%
94.199 1
0.9%
94.161 1
0.9%
94.038 1
0.9%
94.035 1
0.9%
93.86 1
0.9%
93.827 1
0.9%
93.443 1
0.9%

2020-05
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean91.119495
Minimum82.841
Maximum96.111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:45.031220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.841
5-th percentile87.6165
Q190.1185
median91.328
Q392.5735
95-th percentile94.2403
Maximum96.111
Range13.27
Interquartile range (IQR)2.455

Descriptive statistics

Standard deviation2.185433
Coefficient of variation (CV)0.023984253
Kurtosis2.0121307
Mean91.119495
Median Absolute Deviation (MAD)1.224
Skewness-0.86777657
Sum8656.352
Variance4.7761176
MonotonicityNot monotonic
2023-12-13T03:53:45.236083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.566 2
 
1.8%
94.332 1
 
0.9%
92.851 1
 
0.9%
92.407 1
 
0.9%
82.841 1
 
0.9%
92.612 1
 
0.9%
89.458 1
 
0.9%
89.836 1
 
0.9%
86.908 1
 
0.9%
91.468 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
82.841 1
0.9%
84.194 1
0.9%
86.908 1
0.9%
87.367 1
0.9%
87.473 1
0.9%
87.678 1
0.9%
87.75 1
0.9%
88.006 1
0.9%
88.074 1
0.9%
88.085 1
0.9%
ValueCountFrequency (%)
96.111 1
0.9%
95.248 1
0.9%
94.516 1
0.9%
94.439 1
0.9%
94.332 1
0.9%
94.201 1
0.9%
94.183 1
0.9%
94.006 1
0.9%
93.966 1
0.9%
93.603 1
0.9%

2020-06
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean91.410084
Minimum83.234
Maximum96.264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:45.433103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.234
5-th percentile87.9875
Q190.426
median91.643
Q392.903
95-th percentile94.3991
Maximum96.264
Range13.03
Interquartile range (IQR)2.477

Descriptive statistics

Standard deviation2.1424405
Coefficient of variation (CV)0.023437683
Kurtosis2.1699256
Mean91.410084
Median Absolute Deviation (MAD)1.235
Skewness-0.92270341
Sum8683.958
Variance4.5900514
MonotonicityNot monotonic
2023-12-13T03:53:45.621764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.889 1
 
0.9%
91.713 1
 
0.9%
93.043 1
 
0.9%
92.944 1
 
0.9%
83.234 1
 
0.9%
92.928 1
 
0.9%
89.762 1
 
0.9%
90.009 1
 
0.9%
87.234 1
 
0.9%
91.809 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
83.234 1
0.9%
84.446 1
0.9%
87.234 1
0.9%
87.687 1
0.9%
87.865 1
0.9%
88.04 1
0.9%
88.209 1
0.9%
88.295 1
0.9%
88.301 1
0.9%
88.565 1
0.9%
ValueCountFrequency (%)
96.264 1
0.9%
95.521 1
0.9%
94.704 1
0.9%
94.529 1
0.9%
94.439 1
0.9%
94.382 1
0.9%
94.335 1
0.9%
94.212 1
0.9%
94.17 1
0.9%
93.857 1
0.9%

2020-07
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean91.779084
Minimum84.691
Maximum96.401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:45.833167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.691
5-th percentile88.3523
Q190.7715
median91.978
Q393.1495
95-th percentile94.5264
Maximum96.401
Range11.71
Interquartile range (IQR)2.378

Descriptive statistics

Standard deviation1.9950088
Coefficient of variation (CV)0.021737074
Kurtosis1.4152811
Mean91.779084
Median Absolute Deviation (MAD)1.211
Skewness-0.75107867
Sum8719.013
Variance3.98006
MonotonicityNot monotonic
2023-12-13T03:53:46.042587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.2 2
 
1.8%
91.121 1
 
0.9%
91.969 1
 
0.9%
93.224 1
 
0.9%
93.291 1
 
0.9%
84.691 1
 
0.9%
93.286 1
 
0.9%
90.309 1
 
0.9%
87.77 1
 
0.9%
92.156 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
84.691 1
0.9%
85.821 1
0.9%
87.77 1
0.9%
87.85 1
0.9%
88.29 1
0.9%
88.379 1
0.9%
88.467 1
0.9%
88.749 1
0.9%
89.251 1
0.9%
89.296 1
0.9%
ValueCountFrequency (%)
96.401 1
0.9%
95.689 1
0.9%
94.919 1
0.9%
94.771 1
0.9%
94.588 1
0.9%
94.5 1
0.9%
94.468 1
0.9%
94.409 1
0.9%
94.333 1
0.9%
94.276 1
0.9%

2020-08
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean92.092432
Minimum85.226
Maximum96.492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:46.264480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.226
5-th percentile88.7237
Q191.104
median92.275
Q393.4145
95-th percentile94.657
Maximum96.492
Range11.266
Interquartile range (IQR)2.3105

Descriptive statistics

Standard deviation1.8945526
Coefficient of variation (CV)0.020572294
Kurtosis1.3444364
Mean92.092432
Median Absolute Deviation (MAD)1.183
Skewness-0.72190906
Sum8748.781
Variance3.5893294
MonotonicityNot monotonic
2023-12-13T03:53:46.495528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.673 1
 
0.9%
92.269 1
 
0.9%
93.463 1
 
0.9%
93.489 1
 
0.9%
85.226 1
 
0.9%
93.371 1
 
0.9%
90.71 1
 
0.9%
90.654 1
 
0.9%
88.274 1
 
0.9%
92.483 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
85.226 1
0.9%
86.972 1
0.9%
88.274 1
0.9%
88.284 1
0.9%
88.688 1
0.9%
88.739 1
0.9%
88.782 1
0.9%
89.197 1
0.9%
89.703 1
0.9%
89.788 1
0.9%
ValueCountFrequency (%)
96.492 1
0.9%
95.814 1
0.9%
95.152 1
0.9%
95.109 1
0.9%
94.678 1
0.9%
94.648 1
0.9%
94.637 1
0.9%
94.551 1
0.9%
94.535 1
0.9%
94.409 1
0.9%

2020-09
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)96.8%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean92.404389
Minimum85.704
Maximum96.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:46.722314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.704
5-th percentile89.0151
Q191.4475
median92.522
Q393.6875
95-th percentile94.8807
Maximum96.615
Range10.911
Interquartile range (IQR)2.24

Descriptive statistics

Standard deviation1.807631
Coefficient of variation (CV)0.019562177
Kurtosis1.3552482
Mean92.404389
Median Absolute Deviation (MAD)1.151
Skewness-0.71557867
Sum8778.417
Variance3.2675298
MonotonicityNot monotonic
2023-12-13T03:53:46.958476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.438 2
 
1.8%
93.289 2
 
1.8%
92.185 2
 
1.8%
92.755 1
 
0.9%
92.484 1
 
0.9%
93.876 1
 
0.9%
93.611 1
 
0.9%
85.704 1
 
0.9%
93.78 1
 
0.9%
91.044 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
85.704 1
0.9%
88.129 1
0.9%
88.79 1
0.9%
88.804 1
0.9%
88.929 1
0.9%
89.052 1
0.9%
89.139 1
0.9%
89.542 1
0.9%
90.069 1
0.9%
90.2 1
0.9%
ValueCountFrequency (%)
96.615 1
0.9%
95.894 1
0.9%
95.364 1
0.9%
95.35 1
0.9%
94.887 1
0.9%
94.878 1
0.9%
94.833 1
0.9%
94.711 1
0.9%
94.655 1
0.9%
94.613 1
0.9%

2020-10
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean92.712768
Minimum86.259
Maximum96.712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:47.179846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.259
5-th percentile89.3834
Q191.7425
median92.915
Q393.861
95-th percentile95.0461
Maximum96.712
Range10.453
Interquartile range (IQR)2.1185

Descriptive statistics

Standard deviation1.7320089
Coefficient of variation (CV)0.018681449
Kurtosis1.3092319
Mean92.712768
Median Absolute Deviation (MAD)1.072
Skewness-0.71944541
Sum8807.713
Variance2.9998547
MonotonicityNot monotonic
2023-12-13T03:53:47.971548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.565 2
 
1.8%
92.218 1
 
0.9%
94.224 1
 
0.9%
93.773 1
 
0.9%
86.259 1
 
0.9%
94.19 1
 
0.9%
91.264 1
 
0.9%
91.43 1
 
0.9%
89.328 1
 
0.9%
93.07 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
86.259 1
0.9%
89.027 1
0.9%
89.141 1
0.9%
89.328 1
0.9%
89.361 1
0.9%
89.393 1
0.9%
89.505 1
0.9%
90.035 1
0.9%
90.34 1
0.9%
90.525 1
0.9%
ValueCountFrequency (%)
96.712 1
0.9%
95.965 1
0.9%
95.627 1
0.9%
95.6 1
0.9%
95.065 1
0.9%
95.038 1
0.9%
94.888 1
0.9%
94.833 1
0.9%
94.824 1
0.9%
94.77 1
0.9%

2020-11
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean93.0638
Minimum86.872
Maximum96.847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:48.222437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.872
5-th percentile90.1229
Q192.1335
median93.226
Q394.164
95-th percentile95.2518
Maximum96.847
Range9.975
Interquartile range (IQR)2.0305

Descriptive statistics

Standard deviation1.6337325
Coefficient of variation (CV)0.017554973
Kurtosis1.4227449
Mean93.0638
Median Absolute Deviation (MAD)1.034
Skewness-0.69095002
Sum8841.061
Variance2.669082
MonotonicityNot monotonic
2023-12-13T03:53:48.573990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.818 1
 
0.9%
93.083 1
 
0.9%
94.5 1
 
0.9%
94.013 1
 
0.9%
86.872 1
 
0.9%
94.19 1
 
0.9%
91.567 1
 
0.9%
91.924 1
 
0.9%
89.872 1
 
0.9%
93.392 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
86.872 1
0.9%
89.466 1
0.9%
89.765 1
0.9%
89.872 1
0.9%
90.02 1
0.9%
90.167 1
0.9%
90.24 1
0.9%
90.755 1
0.9%
90.901 1
0.9%
90.939 1
0.9%
ValueCountFrequency (%)
96.847 1
0.9%
96.263 1
0.9%
96.046 1
0.9%
95.839 1
0.9%
95.312 1
0.9%
95.226 1
0.9%
95.074 1
0.9%
95.037 1
0.9%
94.962 1
0.9%
94.921 1
0.9%

2020-12
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean93.406158
Minimum87.592
Maximum96.941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:48.858440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.592
5-th percentile90.8815
Q192.4715
median93.573
Q394.4145
95-th percentile95.4442
Maximum96.941
Range9.349
Interquartile range (IQR)1.943

Descriptive statistics

Standard deviation1.5533687
Coefficient of variation (CV)0.01663026
Kurtosis1.3262076
Mean93.406158
Median Absolute Deviation (MAD)0.969
Skewness-0.643996
Sum8873.585
Variance2.4129542
MonotonicityNot monotonic
2023-12-13T03:53:49.128664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.217 1
 
0.9%
93.36 1
 
0.9%
94.84 1
 
0.9%
94.263 1
 
0.9%
87.592 1
 
0.9%
94.403 1
 
0.9%
91.906 1
 
0.9%
92.085 1
 
0.9%
90.301 1
 
0.9%
93.736 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
87.592 1
0.9%
89.753 1
0.9%
90.3 1
0.9%
90.301 1
0.9%
90.493 1
0.9%
91.048 1
0.9%
91.072 1
0.9%
91.24 1
0.9%
91.428 1
0.9%
91.497 1
0.9%
ValueCountFrequency (%)
96.941 1
0.9%
96.558 1
0.9%
96.266 1
0.9%
96.113 1
0.9%
95.559 1
0.9%
95.395 1
0.9%
95.358 1
0.9%
95.276 1
0.9%
95.196 1
0.9%
95.193 1
0.9%

2021-01
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean93.699926
Minimum88.282
Maximum97.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:49.387022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.282
5-th percentile91.2883
Q192.789
median93.837
Q394.7165
95-th percentile95.5898
Maximum97.03
Range8.748
Interquartile range (IQR)1.9275

Descriptive statistics

Standard deviation1.487268
Coefficient of variation (CV)0.01587267
Kurtosis1.1199769
Mean93.699926
Median Absolute Deviation (MAD)0.901
Skewness-0.64741494
Sum8901.493
Variance2.211966
MonotonicityNot monotonic
2023-12-13T03:53:49.619726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.59 1
 
0.9%
93.691 1
 
0.9%
95.056 1
 
0.9%
94.533 1
 
0.9%
88.282 1
 
0.9%
94.576 1
 
0.9%
92.111 1
 
0.9%
92.393 1
 
0.9%
90.803 1
 
0.9%
94.135 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
88.282 1
0.9%
90.004 1
0.9%
90.644 1
0.9%
90.803 1
0.9%
90.974 1
0.9%
91.423 1
0.9%
91.556 1
0.9%
91.769 1
0.9%
91.781 1
0.9%
91.795 1
0.9%
ValueCountFrequency (%)
97.03 1
0.9%
96.558 1
0.9%
96.401 1
0.9%
96.316 1
0.9%
95.727 1
0.9%
95.531 1
0.9%
95.522 1
0.9%
95.494 1
0.9%
95.43 1
0.9%
95.388 1
0.9%

2021-02
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean94.000789
Minimum88.986
Maximum97.065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:49.863728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.986
5-th percentile91.7177
Q193.1095
median94.137
Q395.037
95-th percentile95.862
Maximum97.065
Range8.079
Interquartile range (IQR)1.9275

Descriptive statistics

Standard deviation1.4210853
Coefficient of variation (CV)0.015117802
Kurtosis0.86284853
Mean94.000789
Median Absolute Deviation (MAD)0.952
Skewness-0.61026723
Sum8930.075
Variance2.0194835
MonotonicityNot monotonic
2023-12-13T03:53:50.132660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.462 2
 
1.8%
94.938 1
 
0.9%
93.948 1
 
0.9%
95.248 1
 
0.9%
94.837 1
 
0.9%
88.986 1
 
0.9%
95.03 1
 
0.9%
92.275 1
 
0.9%
92.812 1
 
0.9%
91.259 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
88.986 1
0.9%
90.462 1
0.9%
91.113 1
0.9%
91.259 1
0.9%
91.395 1
0.9%
91.856 1
0.9%
91.923 1
0.9%
92.075 1
0.9%
92.118 1
0.9%
92.203 1
0.9%
ValueCountFrequency (%)
97.065 1
0.9%
96.825 1
0.9%
96.522 1
0.9%
96.492 1
0.9%
95.904 1
0.9%
95.844 1
0.9%
95.773 1
0.9%
95.705 1
0.9%
95.591 1
0.9%
95.564 1
0.9%

2021-03
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean94.328284
Minimum89.659
Maximum97.117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:50.389525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.659
5-th percentile92.1321
Q193.45
median94.405
Q395.3085
95-th percentile96.1211
Maximum97.117
Range7.458
Interquartile range (IQR)1.8585

Descriptive statistics

Standard deviation1.3581521
Coefficient of variation (CV)0.014398142
Kurtosis0.73047673
Mean94.328284
Median Absolute Deviation (MAD)0.905
Skewness-0.61427151
Sum8961.187
Variance1.844577
MonotonicityNot monotonic
2023-12-13T03:53:50.662272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.081 2
 
1.8%
93.788 1
 
0.9%
95.438 1
 
0.9%
95.161 1
 
0.9%
89.659 1
 
0.9%
95.307 1
 
0.9%
92.831 1
 
0.9%
93.274 1
 
0.9%
91.791 1
 
0.9%
94.851 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
89.659 1
0.9%
90.829 1
0.9%
91.559 1
0.9%
91.791 1
0.9%
91.843 1
0.9%
92.256 1
0.9%
92.296 1
0.9%
92.305 1
0.9%
92.325 1
0.9%
92.559 1
0.9%
ValueCountFrequency (%)
97.117 1
0.9%
97.012 1
0.9%
96.725 1
0.9%
96.708 1
0.9%
96.14 1
0.9%
96.113 1
0.9%
96.084 1
0.9%
95.93 1
0.9%
95.849 1
0.9%
95.792 1
0.9%

2021-04
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean94.672537
Minimum90.328
Maximum97.161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:50.895200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.328
5-th percentile92.5401
Q193.8295
median94.74
Q395.6085
95-th percentile96.3621
Maximum97.161
Range6.833
Interquartile range (IQR)1.779

Descriptive statistics

Standard deviation1.287747
Coefficient of variation (CV)0.013602118
Kurtosis0.64919539
Mean94.672537
Median Absolute Deviation (MAD)0.887
Skewness-0.6710212
Sum8993.891
Variance1.6582924
MonotonicityNot monotonic
2023-12-13T03:53:51.134780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.14 2
 
1.8%
95.876 2
 
1.8%
94.332 1
 
0.9%
94.563 1
 
0.9%
95.853 1
 
0.9%
95.349 1
 
0.9%
90.328 1
 
0.9%
95.483 1
 
0.9%
93.101 1
 
0.9%
93.489 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
90.328 1
0.9%
91.188 1
0.9%
92.002 1
0.9%
92.289 1
0.9%
92.3 1
0.9%
92.643 1
0.9%
92.705 1
0.9%
92.726 1
0.9%
92.827 1
0.9%
93.031 1
0.9%
ValueCountFrequency (%)
97.161 1
0.9%
97.012 1
0.9%
96.927 1
0.9%
96.91 1
0.9%
96.458 1
0.9%
96.321 1
0.9%
96.175 1
0.9%
96.1 1
0.9%
96.081 1
0.9%
96.055 1
0.9%

2021-05
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean95.018421
Minimum91.163
Maximum97.501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:51.371663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.163
5-th percentile92.9539
Q194.205
median95.09
Q395.9015
95-th percentile96.6074
Maximum97.501
Range6.338
Interquartile range (IQR)1.6965

Descriptive statistics

Standard deviation1.2231696
Coefficient of variation (CV)0.012872974
Kurtosis0.42522285
Mean95.018421
Median Absolute Deviation (MAD)0.88
Skewness-0.59175736
Sum9026.75
Variance1.4961439
MonotonicityNot monotonic
2023-12-13T03:53:51.579916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.082 2
 
1.8%
93.491 2
 
1.8%
94.96 1
 
0.9%
96.246 1
 
0.9%
94.912 1
 
0.9%
96.161 1
 
0.9%
95.554 1
 
0.9%
91.163 1
 
0.9%
95.787 1
 
0.9%
93.793 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
91.163 1
0.9%
91.689 1
0.9%
92.37 1
0.9%
92.686 1
0.9%
92.823 1
0.9%
93.01 1
0.9%
93.173 1
0.9%
93.214 1
0.9%
93.228 1
0.9%
93.491 2
1.8%
ValueCountFrequency (%)
97.501 1
0.9%
97.256 1
0.9%
97.23 1
0.9%
97.111 1
0.9%
96.83 1
0.9%
96.512 1
0.9%
96.501 1
0.9%
96.489 1
0.9%
96.344 1
0.9%
96.309 1
0.9%

2021-06
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean95.365495
Minimum91.949
Maximum97.769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:51.812309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.949
5-th percentile93.4433
Q194.571
median95.487
Q396.2655
95-th percentile96.9305
Maximum97.769
Range5.82
Interquartile range (IQR)1.6945

Descriptive statistics

Standard deviation1.1444461
Coefficient of variation (CV)0.01200063
Kurtosis0.1430067
Mean95.365495
Median Absolute Deviation (MAD)0.851
Skewness-0.49754567
Sum9059.722
Variance1.3097568
MonotonicityNot monotonic
2023-12-13T03:53:52.076153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.955 2
 
1.8%
96.6 1
 
0.9%
95.274 1
 
0.9%
96.545 1
 
0.9%
95.81 1
 
0.9%
91.949 1
 
0.9%
96.306 1
 
0.9%
93.709 1
 
0.9%
94.159 1
 
0.9%
93.276 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
91.949 1
0.9%
92.423 1
0.9%
92.835 1
0.9%
93.141 1
0.9%
93.276 1
0.9%
93.515 1
0.9%
93.606 1
0.9%
93.709 1
0.9%
93.716 1
0.9%
93.955 2
1.8%
ValueCountFrequency (%)
97.769 1
0.9%
97.417 1
0.9%
97.379 1
0.9%
97.286 1
0.9%
97.13 1
0.9%
96.845 1
0.9%
96.826 1
0.9%
96.743 1
0.9%
96.64 1
0.9%
96.63 1
0.9%

2021-07
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean95.708211
Minimum92.73
Maximum97.769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:52.305855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.73
5-th percentile93.8538
Q194.962
median95.884
Q396.5095
95-th percentile97.2467
Maximum97.769
Range5.039
Interquartile range (IQR)1.5475

Descriptive statistics

Standard deviation1.0679138
Coefficient of variation (CV)0.011158016
Kurtosis-0.10123498
Mean95.708211
Median Absolute Deviation (MAD)0.801
Skewness-0.42885206
Sum9092.28
Variance1.1404398
MonotonicityNot monotonic
2023-12-13T03:53:52.600918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.691 2
 
1.8%
95.36 1
 
0.9%
96.685 1
 
0.9%
96.009 1
 
0.9%
92.73 1
 
0.9%
96.541 1
 
0.9%
94.019 1
 
0.9%
94.515 1
 
0.9%
93.774 1
 
0.9%
96.145 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
92.73 1
0.9%
93.114 1
0.9%
93.315 1
0.9%
93.596 1
0.9%
93.774 1
0.9%
93.888 1
0.9%
94.019 1
0.9%
94.175 1
0.9%
94.245 1
0.9%
94.261 1
0.9%
ValueCountFrequency (%)
97.769 1
0.9%
97.654 1
0.9%
97.626 1
0.9%
97.54 1
0.9%
97.505 1
0.9%
97.136 1
0.9%
97.076 1
0.9%
97.044 1
0.9%
97.005 1
0.9%
96.953 1
0.9%

2021-08
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean96.069326
Minimum93.559
Maximum98.041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:52.878117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.559
5-th percentile94.3215
Q195.3955
median96.238
Q396.7425
95-th percentile97.5385
Maximum98.041
Range4.482
Interquartile range (IQR)1.347

Descriptive statistics

Standard deviation0.99548092
Coefficient of variation (CV)0.01036211
Kurtosis-0.11805177
Mean96.069326
Median Absolute Deviation (MAD)0.634
Skewness-0.39182647
Sum9126.586
Variance0.99098226
MonotonicityNot monotonic
2023-12-13T03:53:53.205565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.922 2
 
1.8%
94.997 2
 
1.8%
95.736 1
 
0.9%
96.903 1
 
0.9%
96.238 1
 
0.9%
93.578 1
 
0.9%
96.544 1
 
0.9%
94.5 1
 
0.9%
94.335 1
 
0.9%
96.436 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
93.559 1
0.9%
93.578 1
0.9%
93.752 1
0.9%
94.039 1
0.9%
94.29 1
0.9%
94.335 1
0.9%
94.5 1
0.9%
94.563 1
0.9%
94.675 1
0.9%
94.726 1
0.9%
ValueCountFrequency (%)
98.041 1
0.9%
97.952 1
0.9%
97.877 1
0.9%
97.812 1
0.9%
97.71 1
0.9%
97.465 1
0.9%
97.43 1
0.9%
97.362 1
0.9%
97.345 1
0.9%
97.301 1
0.9%

2021-09
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)96.8%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean96.431853
Minimum93.896
Maximum98.309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:53.586292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.896
5-th percentile94.7467
Q195.847
median96.566
Q397.0175
95-th percentile97.8191
Maximum98.309
Range4.413
Interquartile range (IQR)1.1705

Descriptive statistics

Standard deviation0.92370119
Coefficient of variation (CV)0.0095787975
Kurtosis-0.027343076
Mean96.431853
Median Absolute Deviation (MAD)0.599
Skewness-0.37918138
Sum9161.026
Variance0.85322389
MonotonicityNot monotonic
2023-12-13T03:53:53.850414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.043 2
 
1.8%
97.165 2
 
1.8%
96.981 2
 
1.8%
96.71 1
 
0.9%
97.23 1
 
0.9%
96.482 1
 
0.9%
94.446 1
 
0.9%
96.89 1
 
0.9%
95.012 1
 
0.9%
95.46 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
93.896 1
0.9%
94.266 1
0.9%
94.446 1
0.9%
94.473 1
0.9%
94.746 1
0.9%
94.747 1
0.9%
94.97 1
0.9%
95.012 1
0.9%
95.13 1
0.9%
95.161 1
0.9%
ValueCountFrequency (%)
98.309 1
0.9%
98.202 1
0.9%
98.081 1
0.9%
98.052 1
0.9%
97.922 1
0.9%
97.775 1
0.9%
97.745 1
0.9%
97.702 1
0.9%
97.691 1
0.9%
97.657 1
0.9%

2021-10
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean96.782621
Minimum94.326
Maximum98.448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:54.091979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.326
5-th percentile95.3233
Q196.2645
median96.931
Q397.291
95-th percentile98.1197
Maximum98.448
Range4.122
Interquartile range (IQR)1.0265

Descriptive statistics

Standard deviation0.85033699
Coefficient of variation (CV)0.0087860505
Kurtosis0.10010758
Mean96.782621
Median Absolute Deviation (MAD)0.509
Skewness-0.40167993
Sum9194.349
Variance0.723073
MonotonicityNot monotonic
2023-12-13T03:53:54.782915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.072 2
 
1.8%
96.229 2
 
1.8%
98.03 1
 
0.9%
97.537 1
 
0.9%
96.719 1
 
0.9%
95.344 1
 
0.9%
97.171 1
 
0.9%
95.401 1
 
0.9%
95.985 1
 
0.9%
95.275 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
94.326 1
0.9%
94.758 1
0.9%
94.946 1
0.9%
94.985 1
0.9%
95.275 1
0.9%
95.344 1
0.9%
95.401 1
0.9%
95.506 1
0.9%
95.527 1
0.9%
95.676 1
0.9%
ValueCountFrequency (%)
98.448 1
0.9%
98.36 1
0.9%
98.309 1
0.9%
98.219 1
0.9%
98.14 1
0.9%
98.111 1
0.9%
98.078 1
0.9%
98.041 1
0.9%
98.03 1
0.9%
97.917 1
0.9%

2021-11
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)93.7%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean97.119347
Minimum94.759
Maximum98.767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:54.979680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.759
5-th percentile95.9208
Q196.6895
median97.258
Q397.535
95-th percentile98.3978
Maximum98.767
Range4.008
Interquartile range (IQR)0.8455

Descriptive statistics

Standard deviation0.79920619
Coefficient of variation (CV)0.008229114
Kurtosis0.21998617
Mean97.119347
Median Absolute Deviation (MAD)0.481
Skewness-0.36016929
Sum9226.338
Variance0.63873053
MonotonicityNot monotonic
2023-12-13T03:53:55.194411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.509 2
 
1.8%
97.535 2
 
1.8%
97.442 2
 
1.8%
96.715 2
 
1.8%
96.945 2
 
1.8%
95.979 2
 
1.8%
98.012 1
 
0.9%
95.946 1
 
0.9%
96.972 1
 
0.9%
97.78 1
 
0.9%
Other values (79) 79
71.2%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
94.759 1
0.9%
95.27 1
0.9%
95.276 1
0.9%
95.406 1
0.9%
95.862 1
0.9%
95.946 1
0.9%
95.962 1
0.9%
95.979 2
1.8%
96.005 1
0.9%
96.027 1
0.9%
ValueCountFrequency (%)
98.767 1
0.9%
98.664 1
0.9%
98.547 1
0.9%
98.438 1
0.9%
98.43 1
0.9%
98.384 1
0.9%
98.376 1
0.9%
98.356 1
0.9%
98.3 1
0.9%
98.293 1
0.9%

2021-12
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)95.8%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean97.435432
Minimum95.315
Maximum98.935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:55.397288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.315
5-th percentile96.3081
Q197.0655
median97.497
Q397.878
95-th percentile98.6122
Maximum98.935
Range3.62
Interquartile range (IQR)0.8125

Descriptive statistics

Standard deviation0.74306767
Coefficient of variation (CV)0.0076262573
Kurtosis0.22943911
Mean97.435432
Median Absolute Deviation (MAD)0.418
Skewness-0.29990362
Sum9256.366
Variance0.55214957
MonotonicityNot monotonic
2023-12-13T03:53:55.590017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.935 2
 
1.8%
97.218 2
 
1.8%
97.964 2
 
1.8%
97.839 2
 
1.8%
98.811 1
 
0.9%
97.155 1
 
0.9%
96.635 1
 
0.9%
97.566 1
 
0.9%
96.321 1
 
0.9%
96.689 1
 
0.9%
Other values (81) 81
73.0%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
95.315 1
0.9%
95.566 1
0.9%
95.72 1
0.9%
95.883 1
0.9%
96.292 1
0.9%
96.315 1
0.9%
96.321 1
0.9%
96.451 1
0.9%
96.453 1
0.9%
96.508 1
0.9%
ValueCountFrequency (%)
98.935 1
0.9%
98.933 1
0.9%
98.811 1
0.9%
98.791 1
0.9%
98.629 1
0.9%
98.605 1
0.9%
98.596 1
0.9%
98.584 1
0.9%
98.539 1
0.9%
98.489 1
0.9%

2022-01
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean97.739653
Minimum95.871
Maximum99.175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:55.801162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.871
5-th percentile96.621
Q197.368
median97.774
Q398.1545
95-th percentile98.8273
Maximum99.175
Range3.304
Interquartile range (IQR)0.7865

Descriptive statistics

Standard deviation0.69284177
Coefficient of variation (CV)0.0070886457
Kurtosis0.15873548
Mean97.739653
Median Absolute Deviation (MAD)0.404
Skewness-0.25604256
Sum9285.267
Variance0.48002972
MonotonicityNot monotonic
2023-12-13T03:53:55.975359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.47 2
 
1.8%
97.59 1
 
0.9%
98.251 1
 
0.9%
97.518 1
 
0.9%
97.192 1
 
0.9%
97.983 1
 
0.9%
96.721 1
 
0.9%
96.912 1
 
0.9%
96.9 1
 
0.9%
97.835 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
95.871 1
0.9%
96.013 1
0.9%
96.094 1
0.9%
96.35 1
0.9%
96.481 1
0.9%
96.681 1
0.9%
96.721 1
0.9%
96.834 1
0.9%
96.841 1
0.9%
96.869 1
0.9%
ValueCountFrequency (%)
99.175 1
0.9%
99.096 1
0.9%
99.07 1
0.9%
99.063 1
0.9%
98.877 1
0.9%
98.806 1
0.9%
98.794 1
0.9%
98.77 1
0.9%
98.764 1
0.9%
98.76 1
0.9%

2022-02
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean98.022074
Minimum96.282
Maximum99.371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:56.167871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.282
5-th percentile97.0158
Q197.676
median98.048
Q398.4075
95-th percentile99.0867
Maximum99.371
Range3.089
Interquartile range (IQR)0.7315

Descriptive statistics

Standard deviation0.65209608
Coefficient of variation (CV)0.0066525432
Kurtosis0.20005464
Mean98.022074
Median Absolute Deviation (MAD)0.367
Skewness-0.21536044
Sum9312.097
Variance0.4252293
MonotonicityNot monotonic
2023-12-13T03:53:56.355648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.213 2
 
1.8%
97.874 1
 
0.9%
98.403 1
 
0.9%
97.79 1
 
0.9%
97.683 1
 
0.9%
98.048 1
 
0.9%
97.27 1
 
0.9%
97.298 1
 
0.9%
97.329 1
 
0.9%
98.178 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
96.282 1
0.9%
96.367 1
0.9%
96.433 1
0.9%
96.771 1
0.9%
96.985 1
0.9%
97.029 1
0.9%
97.047 1
0.9%
97.187 1
0.9%
97.192 1
0.9%
97.213 2
1.8%
ValueCountFrequency (%)
99.371 1
0.9%
99.351 1
0.9%
99.323 1
0.9%
99.265 1
0.9%
99.212 1
0.9%
99.033 1
0.9%
99.014 1
0.9%
99.009 1
0.9%
98.944 1
0.9%
98.906 1
0.9%

2022-03
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)100.0%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean98.330284
Minimum96.79
Maximum99.671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:56.551129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.79
5-th percentile97.2595
Q198.027
median98.313
Q398.669
95-th percentile99.3737
Maximum99.671
Range2.881
Interquartile range (IQR)0.642

Descriptive statistics

Standard deviation0.62178966
Coefficient of variation (CV)0.0063234807
Kurtosis0.17409248
Mean98.330284
Median Absolute Deviation (MAD)0.329
Skewness-0.16828967
Sum9341.377
Variance0.38662238
MonotonicityNot monotonic
2023-12-13T03:53:56.756879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.63 1
 
0.9%
97.984 1
 
0.9%
98.618 1
 
0.9%
98.169 1
 
0.9%
98.139 1
 
0.9%
98.213 1
 
0.9%
97.517 1
 
0.9%
97.497 1
 
0.9%
97.782 1
 
0.9%
98.463 1
 
0.9%
Other values (85) 85
76.6%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
96.79 1
0.9%
96.81 1
0.9%
96.823 1
0.9%
97.22 1
0.9%
97.235 1
0.9%
97.27 1
0.9%
97.327 1
0.9%
97.386 1
0.9%
97.497 1
0.9%
97.512 1
0.9%
ValueCountFrequency (%)
99.671 1
0.9%
99.664 1
0.9%
99.587 1
0.9%
99.553 1
0.9%
99.415 1
0.9%
99.356 1
0.9%
99.259 1
0.9%
99.221 1
0.9%
99.207 1
0.9%
99.139 1
0.9%

2022-04
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)98.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean98.653558
Minimum97.005
Maximum99.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:56.983824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.005
5-th percentile97.6585
Q198.349
median98.682
Q398.957
95-th percentile99.6035
Maximum99.98
Range2.975
Interquartile range (IQR)0.608

Descriptive statistics

Standard deviation0.59575271
Coefficient of variation (CV)0.0060388365
Kurtosis0.53276399
Mean98.653558
Median Absolute Deviation (MAD)0.309
Skewness-0.27220317
Sum9372.088
Variance0.35492129
MonotonicityNot monotonic
2023-12-13T03:53:57.195666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.501 2
 
1.8%
98.62 1
 
0.9%
98.783 1
 
0.9%
98.505 1
 
0.9%
98.582 1
 
0.9%
98.445 1
 
0.9%
97.976 1
 
0.9%
97.761 1
 
0.9%
98.108 1
 
0.9%
98.858 1
 
0.9%
Other values (84) 84
75.7%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
97.005 1
0.9%
97.182 1
0.9%
97.194 1
0.9%
97.311 1
0.9%
97.641 1
0.9%
97.666 1
0.9%
97.761 1
0.9%
97.771 1
0.9%
97.776 1
0.9%
97.902 1
0.9%
ValueCountFrequency (%)
99.98 1
0.9%
99.893 1
0.9%
99.863 1
0.9%
99.861 1
0.9%
99.705 1
0.9%
99.56 1
0.9%
99.515 1
0.9%
99.484 1
0.9%
99.442 1
0.9%
99.433 1
0.9%

2022-05
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean98.986968
Minimum97.358
Maximum100.321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:57.395010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.358
5-th percentile97.9308
Q198.6845
median98.986
Q399.2705
95-th percentile99.8835
Maximum100.321
Range2.963
Interquartile range (IQR)0.586

Descriptive statistics

Standard deviation0.56970422
Coefficient of variation (CV)0.0057553457
Kurtosis0.54898893
Mean98.986968
Median Absolute Deviation (MAD)0.287
Skewness-0.2461344
Sum9403.762
Variance0.3245629
MonotonicityNot monotonic
2023-12-13T03:53:57.595995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.17 2
 
1.8%
98.976 2
 
1.8%
97.722 1
 
0.9%
98.544 1
 
0.9%
99.171 1
 
0.9%
98.873 1
 
0.9%
99.047 1
 
0.9%
98.838 1
 
0.9%
98.403 1
 
0.9%
98.217 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
97.358 1
0.9%
97.703 1
0.9%
97.722 1
0.9%
97.729 1
0.9%
97.83 1
0.9%
97.974 1
0.9%
98.066 1
0.9%
98.126 1
0.9%
98.159 1
0.9%
98.217 1
0.9%
ValueCountFrequency (%)
100.321 1
0.9%
100.196 1
0.9%
100.178 1
0.9%
100.063 1
0.9%
100.048 1
0.9%
99.813 1
0.9%
99.803 1
0.9%
99.798 1
0.9%
99.77 1
0.9%
99.747 1
0.9%

2022-06
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean99.305842
Minimum97.666
Maximum100.671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:57.837750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.666
5-th percentile98.254
Q199.051
median99.278
Q399.606
95-th percentile100.256
Maximum100.671
Range3.005
Interquartile range (IQR)0.555

Descriptive statistics

Standard deviation0.56054032
Coefficient of variation (CV)0.0056445856
Kurtosis0.80707245
Mean99.305842
Median Absolute Deviation (MAD)0.307
Skewness-0.1677121
Sum9434.055
Variance0.31420545
MonotonicityNot monotonic
2023-12-13T03:53:58.058800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.534 2
 
1.8%
99.076 2
 
1.8%
99.232 1
 
0.9%
99.563 1
 
0.9%
99.254 1
 
0.9%
99.512 1
 
0.9%
99.032 1
 
0.9%
98.769 1
 
0.9%
98.642 1
 
0.9%
98.867 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
97.666 1
0.9%
97.844 1
0.9%
98.127 1
0.9%
98.215 1
0.9%
98.247 1
0.9%
98.257 1
0.9%
98.473 1
0.9%
98.534 2
1.8%
98.642 1
0.9%
98.663 1
0.9%
ValueCountFrequency (%)
100.671 1
0.9%
100.575 1
0.9%
100.567 1
0.9%
100.392 1
0.9%
100.263 1
0.9%
100.253 1
0.9%
100.163 1
0.9%
100.153 1
0.9%
100.114 1
0.9%
100.073 1
0.9%

2022-07
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)96.8%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean99.604
Minimum98.123
Maximum101.036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:58.244514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.123
5-th percentile98.642
Q199.3695
median99.581
Q399.849
95-th percentile100.5463
Maximum101.036
Range2.913
Interquartile range (IQR)0.4795

Descriptive statistics

Standard deviation0.55311418
Coefficient of variation (CV)0.0055531322
Kurtosis0.74717235
Mean99.604
Median Absolute Deviation (MAD)0.256
Skewness-0.012333429
Sum9462.38
Variance0.3059353
MonotonicityNot monotonic
2023-12-13T03:53:58.457594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.581 2
 
1.8%
99.462 2
 
1.8%
99.806 2
 
1.8%
99.788 1
 
0.9%
99.053 1
 
0.9%
99.818 1
 
0.9%
99.612 1
 
0.9%
99.325 1
 
0.9%
99.076 1
 
0.9%
98.955 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
98.123 1
0.9%
98.136 1
0.9%
98.415 1
0.9%
98.553 1
0.9%
98.586 1
0.9%
98.666 1
0.9%
98.81 1
0.9%
98.828 1
0.9%
98.944 1
0.9%
98.955 1
0.9%
ValueCountFrequency (%)
101.036 1
0.9%
100.882 1
0.9%
100.82 1
0.9%
100.727 1
0.9%
100.638 1
0.9%
100.507 1
0.9%
100.503 1
0.9%
100.463 1
0.9%
100.414 1
0.9%
100.38 1
0.9%

2022-08
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)96.8%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean99.876916
Minimum98.504
Maximum101.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:58.682523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.504
5-th percentile98.944
Q199.568
median99.855
Q3100.0915
95-th percentile100.854
Maximum101.344
Range2.84
Interquartile range (IQR)0.5235

Descriptive statistics

Standard deviation0.54706471
Coefficient of variation (CV)0.0054773889
Kurtosis0.72651992
Mean99.876916
Median Absolute Deviation (MAD)0.262
Skewness0.12202825
Sum9488.307
Variance0.2992798
MonotonicityNot monotonic
2023-12-13T03:53:58.917563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.984 2
 
1.8%
100.501 2
 
1.8%
99.986 2
 
1.8%
99.427 1
 
0.9%
99.528 1
 
0.9%
99.796 1
 
0.9%
99.277 1
 
0.9%
100.012 1
 
0.9%
99.949 1
 
0.9%
100.052 1
 
0.9%
Other values (82) 82
73.9%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
98.504 1
0.9%
98.536 1
0.9%
98.566 1
0.9%
98.842 1
0.9%
98.93 1
0.9%
98.95 1
0.9%
99.115 1
0.9%
99.12 1
0.9%
99.251 1
0.9%
99.277 1
0.9%
ValueCountFrequency (%)
101.344 1
0.9%
101.222 1
0.9%
101.041 1
0.9%
100.961 1
0.9%
100.959 1
0.9%
100.809 1
0.9%
100.803 1
0.9%
100.741 1
0.9%
100.696 1
0.9%
100.671 1
0.9%

2022-09
Real number (ℝ)

MISSING 

Distinct93
Distinct (%)97.9%
Missing16
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean100.06638
Minimum98.656
Maximum101.389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:59.156344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.656
5-th percentile99.2247
Q199.7565
median100.059
Q3100.25
95-th percentile101.0192
Maximum101.389
Range2.733
Interquartile range (IQR)0.4935

Descriptive statistics

Standard deviation0.5184987
Coefficient of variation (CV)0.0051815475
Kurtosis0.78355685
Mean100.06638
Median Absolute Deviation (MAD)0.258
Skewness0.042586943
Sum9506.306
Variance0.2688409
MonotonicityNot monotonic
2023-12-13T03:53:59.366287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.073 2
 
1.8%
99.74 2
 
1.8%
100.186 1
 
0.9%
100.268 1
 
0.9%
100.122 1
 
0.9%
100.114 1
 
0.9%
99.776 1
 
0.9%
99.7 1
 
0.9%
99.643 1
 
0.9%
100.196 1
 
0.9%
Other values (83) 83
74.8%
(Missing) 16
 
14.4%
ValueCountFrequency (%)
98.656 1
0.9%
98.763 1
0.9%
98.862 1
0.9%
99.069 1
0.9%
99.112 1
0.9%
99.273 1
0.9%
99.308 1
0.9%
99.309 1
0.9%
99.49 1
0.9%
99.501 1
0.9%
ValueCountFrequency (%)
101.389 1
0.9%
101.313 1
0.9%
101.186 1
0.9%
101.12 1
0.9%
101.057 1
0.9%
101.003 1
0.9%
100.892 1
0.9%
100.826 1
0.9%
100.796 1
0.9%
100.788 1
0.9%

2022-10
Real number (ℝ)

Distinct104
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.08612
Minimum98.719
Maximum101.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:53:59.612309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.719
5-th percentile99.3125
Q199.816
median100.105
Q3100.324
95-th percentile100.899
Maximum101.31
Range2.591
Interquartile range (IQR)0.508

Descriptive statistics

Standard deviation0.46625028
Coefficient of variation (CV)0.004658491
Kurtosis0.79430543
Mean100.08612
Median Absolute Deviation (MAD)0.252
Skewness-0.056964044
Sum11109.559
Variance0.21738932
MonotonicityNot monotonic
2023-12-13T03:53:59.979344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.158 2
 
1.8%
99.816 2
 
1.8%
100.026 2
 
1.8%
99.9 2
 
1.8%
100.379 2
 
1.8%
100.21 2
 
1.8%
99.552 2
 
1.8%
100.686 1
 
0.9%
99.243 1
 
0.9%
99.641 1
 
0.9%
Other values (94) 94
84.7%
ValueCountFrequency (%)
98.719 1
0.9%
98.855 1
0.9%
99.019 1
0.9%
99.141 1
0.9%
99.208 1
0.9%
99.243 1
0.9%
99.382 1
0.9%
99.462 1
0.9%
99.474 1
0.9%
99.519 1
0.9%
ValueCountFrequency (%)
101.31 1
0.9%
101.258 1
0.9%
101.068 1
0.9%
101.048 1
0.9%
101.002 1
0.9%
100.933 1
0.9%
100.865 1
0.9%
100.825 1
0.9%
100.72 1
0.9%
100.694 1
0.9%

2022-11
Real number (ℝ)

Distinct106
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.06742
Minimum98.817
Maximum100.966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:00.244976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.817
5-th percentile99.4345
Q199.88
median100.059
Q3100.295
95-th percentile100.752
Maximum100.966
Range2.149
Interquartile range (IQR)0.415

Descriptive statistics

Standard deviation0.3859677
Coefficient of variation (CV)0.0038570764
Kurtosis0.80596847
Mean100.06742
Median Absolute Deviation (MAD)0.22
Skewness-0.30039625
Sum11107.484
Variance0.14897106
MonotonicityNot monotonic
2023-12-13T03:54:00.526199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.091 2
 
1.8%
100.124 2
 
1.8%
100.033 2
 
1.8%
99.693 2
 
1.8%
99.746 2
 
1.8%
100.511 1
 
0.9%
100.16 1
 
0.9%
100.08 1
 
0.9%
99.833 1
 
0.9%
100.315 1
 
0.9%
Other values (96) 96
86.5%
ValueCountFrequency (%)
98.817 1
0.9%
99.044 1
0.9%
99.148 1
0.9%
99.285 1
0.9%
99.37 1
0.9%
99.382 1
0.9%
99.487 1
0.9%
99.495 1
0.9%
99.499 1
0.9%
99.509 1
0.9%
ValueCountFrequency (%)
100.966 1
0.9%
100.881 1
0.9%
100.877 1
0.9%
100.854 1
0.9%
100.763 1
0.9%
100.758 1
0.9%
100.746 1
0.9%
100.608 1
0.9%
100.596 1
0.9%
100.58 1
0.9%

2022-12
Real number (ℝ)

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.02705
Minimum98.869
Maximum100.708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:01.370303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.869
5-th percentile99.541
Q199.836
median100.035
Q3100.246
95-th percentile100.562
Maximum100.708
Range1.839
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.32461032
Coefficient of variation (CV)0.0032452256
Kurtosis1.2255901
Mean100.02705
Median Absolute Deviation (MAD)0.206
Skewness-0.58713671
Sum11103.002
Variance0.10537186
MonotonicityNot monotonic
2023-12-13T03:54:01.659561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.237 2
 
1.8%
99.947 2
 
1.8%
99.822 2
 
1.8%
100.288 1
 
0.9%
99.767 1
 
0.9%
100.09 1
 
0.9%
99.718 1
 
0.9%
100.084 1
 
0.9%
100.255 1
 
0.9%
100.328 1
 
0.9%
Other values (98) 98
88.3%
ValueCountFrequency (%)
98.869 1
0.9%
99.127 1
0.9%
99.187 1
0.9%
99.24 1
0.9%
99.409 1
0.9%
99.523 1
0.9%
99.559 1
0.9%
99.563 1
0.9%
99.608 1
0.9%
99.657 1
0.9%
ValueCountFrequency (%)
100.708 1
0.9%
100.66 1
0.9%
100.61 1
0.9%
100.598 1
0.9%
100.579 1
0.9%
100.569 1
0.9%
100.555 1
0.9%
100.509 1
0.9%
100.492 1
0.9%
100.448 1
0.9%

2023-01
Real number (ℝ)

Distinct100
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.984946
Minimum98.897
Maximum100.462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:01.941435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.897
5-th percentile99.5375
Q199.831
median100.013
Q3100.1635
95-th percentile100.3865
Maximum100.462
Range1.565
Interquartile range (IQR)0.3325

Descriptive statistics

Standard deviation0.27570705
Coefficient of variation (CV)0.0027574856
Kurtosis1.4087818
Mean99.984946
Median Absolute Deviation (MAD)0.168
Skewness-0.77180896
Sum11098.329
Variance0.076014379
MonotonicityNot monotonic
2023-12-13T03:54:02.236280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.132 5
 
4.5%
99.845 2
 
1.8%
100.389 2
 
1.8%
99.874 2
 
1.8%
100.064 2
 
1.8%
100.013 2
 
1.8%
100.055 2
 
1.8%
100.37 2
 
1.8%
100.038 1
 
0.9%
99.638 1
 
0.9%
Other values (90) 90
81.1%
ValueCountFrequency (%)
98.897 1
0.9%
99.256 1
0.9%
99.355 1
0.9%
99.423 1
0.9%
99.488 1
0.9%
99.521 1
0.9%
99.554 1
0.9%
99.607 1
0.9%
99.611 1
0.9%
99.629 1
0.9%
ValueCountFrequency (%)
100.462 1
0.9%
100.46 1
0.9%
100.457 1
0.9%
100.431 1
0.9%
100.389 2
1.8%
100.384 1
0.9%
100.371 1
0.9%
100.37 2
1.8%
100.366 1
0.9%
100.356 1
0.9%

2023-02
Real number (ℝ)

Distinct103
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.958441
Minimum98.947
Maximum100.401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:02.488167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.947
5-th percentile99.6095
Q199.818
median99.972
Q3100.102
95-th percentile100.305
Maximum100.401
Range1.454
Interquartile range (IQR)0.284

Descriptive statistics

Standard deviation0.23508612
Coefficient of variation (CV)0.0023518386
Kurtosis2.378935
Mean99.958441
Median Absolute Deviation (MAD)0.137
Skewness-0.91798493
Sum11095.387
Variance0.055265485
MonotonicityNot monotonic
2023-12-13T03:54:02.749758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.023 2
 
1.8%
99.811 2
 
1.8%
100.005 2
 
1.8%
99.966 2
 
1.8%
100.101 2
 
1.8%
100.089 2
 
1.8%
100.096 2
 
1.8%
100.041 2
 
1.8%
99.772 1
 
0.9%
99.652 1
 
0.9%
Other values (93) 93
83.8%
ValueCountFrequency (%)
98.947 1
0.9%
99.315 1
0.9%
99.44 1
0.9%
99.469 1
0.9%
99.504 1
0.9%
99.609 1
0.9%
99.61 1
0.9%
99.612 1
0.9%
99.648 1
0.9%
99.652 1
0.9%
ValueCountFrequency (%)
100.401 1
0.9%
100.384 1
0.9%
100.372 1
0.9%
100.345 1
0.9%
100.313 1
0.9%
100.307 1
0.9%
100.303 1
0.9%
100.267 1
0.9%
100.256 1
0.9%
100.251 1
0.9%

2023-03
Real number (ℝ)

Distinct100
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.948306
Minimum99.222
Maximum100.316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:03.018267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.222
5-th percentile99.6015
Q199.8495
median99.968
Q3100.0685
95-th percentile100.2165
Maximum100.316
Range1.094
Interquartile range (IQR)0.219

Descriptive statistics

Standard deviation0.19071472
Coefficient of variation (CV)0.0019081336
Kurtosis1.4034289
Mean99.948306
Median Absolute Deviation (MAD)0.106
Skewness-0.82992521
Sum11094.262
Variance0.036372105
MonotonicityNot monotonic
2023-12-13T03:54:03.228971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.019 2
 
1.8%
100.054 2
 
1.8%
100.062 2
 
1.8%
99.973 2
 
1.8%
100.049 2
 
1.8%
99.822 2
 
1.8%
100.204 2
 
1.8%
99.804 2
 
1.8%
99.99 2
 
1.8%
99.794 2
 
1.8%
Other values (90) 91
82.0%
ValueCountFrequency (%)
99.222 1
0.9%
99.416 1
0.9%
99.515 1
0.9%
99.531 1
0.9%
99.562 1
0.9%
99.592 1
0.9%
99.611 1
0.9%
99.613 1
0.9%
99.66 1
0.9%
99.662 1
0.9%
ValueCountFrequency (%)
100.316 1
0.9%
100.27 1
0.9%
100.264 1
0.9%
100.247 1
0.9%
100.23 1
0.9%
100.223 1
0.9%
100.21 1
0.9%
100.204 2
1.8%
100.199 1
0.9%
100.193 1
0.9%

2023-04
Real number (ℝ)

Distinct96
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.949216
Minimum99.407
Maximum100.261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:03.464521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.407
5-th percentile99.667
Q199.89
median99.955
Q3100.043
95-th percentile100.146
Maximum100.261
Range0.854
Interquartile range (IQR)0.153

Descriptive statistics

Standard deviation0.14663594
Coefficient of variation (CV)0.0014671044
Kurtosis2.3955819
Mean99.949216
Median Absolute Deviation (MAD)0.081
Skewness-1.0344187
Sum11094.363
Variance0.021502098
MonotonicityNot monotonic
2023-12-13T03:54:03.699747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.916 3
 
2.7%
99.941 3
 
2.7%
100.043 3
 
2.7%
99.89 2
 
1.8%
99.954 2
 
1.8%
99.867 2
 
1.8%
99.913 2
 
1.8%
99.986 2
 
1.8%
99.965 2
 
1.8%
100.084 2
 
1.8%
Other values (86) 88
79.3%
ValueCountFrequency (%)
99.407 1
0.9%
99.445 1
0.9%
99.519 1
0.9%
99.641 1
0.9%
99.649 1
0.9%
99.666 1
0.9%
99.668 1
0.9%
99.734 1
0.9%
99.748 1
0.9%
99.753 1
0.9%
ValueCountFrequency (%)
100.261 1
0.9%
100.236 1
0.9%
100.227 1
0.9%
100.197 1
0.9%
100.168 1
0.9%
100.153 1
0.9%
100.139 1
0.9%
100.131 1
0.9%
100.124 1
0.9%
100.113 1
0.9%

2023-05
Real number (ℝ)

Distinct88
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.971694
Minimum99.676
Maximum100.156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:03.927738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.676
5-th percentile99.8685
Q199.938
median99.981
Q3100.01
95-th percentile100.0715
Maximum100.156
Range0.48
Interquartile range (IQR)0.072

Descriptive statistics

Standard deviation0.066812192
Coefficient of variation (CV)0.00066831109
Kurtosis3.3519538
Mean99.971694
Median Absolute Deviation (MAD)0.036
Skewness-0.86499013
Sum11096.858
Variance0.004463869
MonotonicityNot monotonic
2023-12-13T03:54:04.160005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.947 4
 
3.6%
99.99 3
 
2.7%
99.936 3
 
2.7%
99.972 2
 
1.8%
99.981 2
 
1.8%
100.016 2
 
1.8%
99.944 2
 
1.8%
100.004 2
 
1.8%
99.998 2
 
1.8%
99.999 2
 
1.8%
Other values (78) 87
78.4%
ValueCountFrequency (%)
99.676 1
0.9%
99.783 1
0.9%
99.801 1
0.9%
99.852 1
0.9%
99.86 1
0.9%
99.865 1
0.9%
99.872 1
0.9%
99.882 1
0.9%
99.883 1
0.9%
99.887 1
0.9%
ValueCountFrequency (%)
100.156 1
0.9%
100.114 1
0.9%
100.098 1
0.9%
100.084 1
0.9%
100.08 1
0.9%
100.073 1
0.9%
100.07 1
0.9%
100.047 1
0.9%
100.046 1
0.9%
100.045 1
0.9%

2023-06
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
100
111 

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 (%)
100 111
100.0%

Length

2023-12-13T03:54:04.375279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:54:04.505607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 111
100.0%

2023-07
Real number (ℝ)

Distinct87
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.05294
Minimum99.958
Maximum100.471
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T03:54:04.639186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.958
5-th percentile99.979
Q1100.006
median100.042
Q3100.0735
95-th percentile100.145
Maximum100.471
Range0.513
Interquartile range (IQR)0.0675

Descriptive statistics

Standard deviation0.075855758
Coefficient of variation (CV)0.00075815623
Kurtosis12.843312
Mean100.05294
Median Absolute Deviation (MAD)0.033
Skewness2.9837587
Sum11105.876
Variance0.005754096
MonotonicityNot monotonic
2023-12-13T03:54:04.819166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.072 4
 
3.6%
100.0 4
 
3.6%
100.049 3
 
2.7%
100.043 3
 
2.7%
100.019 3
 
2.7%
99.98 2
 
1.8%
100.081 2
 
1.8%
100.01 2
 
1.8%
100.04 2
 
1.8%
99.993 2
 
1.8%
Other values (77) 84
75.7%
ValueCountFrequency (%)
99.958 1
0.9%
99.968 1
0.9%
99.972 1
0.9%
99.974 1
0.9%
99.977 1
0.9%
99.978 1
0.9%
99.98 2
1.8%
99.981 1
0.9%
99.982 1
0.9%
99.984 1
0.9%
ValueCountFrequency (%)
100.471 1
0.9%
100.426 1
0.9%
100.274 1
0.9%
100.233 1
0.9%
100.212 1
0.9%
100.146 1
0.9%
100.144 1
0.9%
100.135 1
0.9%
100.125 1
0.9%
100.117 1
0.9%

Sample

지역시군구2014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-07
0서울종로구75.1475.21575.26875.30675.41175.53775.63575.76775.89576.0176.10976.21776.38376.5676.66876.74476.91777.00977.13377.24877.40777.57577.72977.88978.00478.11778.17178.29178.45878.65878.93979.20979.49679.69279.92980.09780.26980.51380.91281.21181.44781.66282.03482.40882.81283.2783.76384.22284.68185.02985.35485.56185.82886.10686.48186.84987.19787.59587.9688.35688.6988.99489.33389.60989.86290.05190.29790.5990.92391.27391.63191.98992.34192.73793.07193.42493.80394.1994.55494.93495.35495.75396.17896.52896.94597.32797.65698.00298.35998.76199.21499.667100.142100.501100.711100.686100.511100.288100.144100.02399.93199.91699.972100100.049
1서울중구75.72975.84875.92976.00776.13176.23476.33276.42876.50376.61576.7476.87177.00577.13377.24977.38377.48677.5977.72377.85778.02578.17278.32978.4778.59178.72878.8678.95279.12379.29579.53879.82280.22880.46780.68380.80280.96181.16681.51981.86782.24982.53282.84183.02983.33783.6484.12684.685.03685.33385.61385.83786.08986.36586.66386.93987.31987.69788.09888.44988.79389.1989.49389.83890.11990.34890.60290.88991.30991.67392.09792.4692.81893.21793.5993.95594.32894.71495.11295.53195.96196.37696.74297.1397.49197.82898.11298.35398.6398.94699.31899.713100.074100.35100.586100.554100.407100.237100.132100.041100.00199.94799.958100100.05
2서울용산구71.61171.72271.76371.871.86971.99272.07872.12672.18372.26772.31472.45672.50972.60672.79472.92873.03473.1773.2373.44373.65673.85674.04574.27674.55874.7674.92875.13475.36275.62476.00576.59677.07877.46377.79477.93278.14278.4479.1379.69179.99180.28780.51480.87981.82182.38982.86883.34583.82684.18284.41284.77485.11985.38685.76186.23586.66486.99387.34387.77688.22588.688.95389.30889.57689.84690.13390.44390.77691.06291.37191.64291.93792.33692.62693.02993.36593.79694.294.55794.96195.35895.80596.22396.5996.98697.32497.60397.86898.24498.62299.09299.58199.986100.204100.158100.03299.86699.76199.77699.79499.84799.928100100.057
3서울성동구73.65773.86673.95773.9974.09374.21174.30574.3774.57274.68974.85575.02375.22975.3975.45875.57675.72575.82676.02976.17776.3776.51776.68776.89477.04477.17377.28777.577.66177.92378.24878.61678.94179.25279.4779.64779.87280.10880.33480.57480.94181.15281.55681.93182.30282.85283.36383.84984.59584.90585.22985.58885.87286.21286.71386.88187.16387.47187.72287.95488.19888.45188.68289.05989.25689.41989.63989.96790.31590.67991.00891.27691.58391.89792.2292.53992.85893.20293.56593.95594.33294.72695.1395.50695.97996.45196.86997.21397.57197.95698.2998.66399.0599.42799.75399.81699.82599.83199.82899.82599.86299.8999.947100100.062
4서울광진구73.83273.94374.03274.21974.40174.47574.60874.86775.05875.15575.36275.5275.60775.7575.976.176.20576.40276.63676.8977.0877.21377.44877.63577.7977.89277.98278.22578.45478.72979.24979.62279.91480.17580.42780.59980.87281.17381.49281.8382.09582.31982.56182.91883.27283.6884.16584.68985.04285.53185.9886.29886.55186.87687.34787.60487.99688.24288.69889.22989.60989.96390.2490.54390.7891.02291.31491.54891.83292.10892.43892.71693.04293.3193.6794.02194.36394.75795.14295.52695.93896.32396.68297.01197.37297.7198.01498.27798.56898.93199.30399.64899.994100.304100.465100.398100.316100.204100.132100.07100.00899.98199.978100100.073
5서울동대문구73.85573.89673.91973.99374.11574.20374.34674.44574.674.70674.89175.07375.19275.37775.52275.58975.73775.84775.98976.19976.43676.61776.79476.93677.1577.3277.44677.56477.82878.01978.36378.61178.92379.25179.44679.60979.82980.03680.20280.40680.66480.9181.28981.5982.03982.53483.05983.60784.0984.57784.87985.15785.55285.9286.32486.6387.08187.49987.88588.36988.79689.22789.6489.99190.33290.55590.81791.08991.47391.74592.06592.34192.68793.01993.38893.894.19494.58695.00995.4595.88496.25196.63597.04897.50997.96498.35398.62798.94799.37399.798100.253100.638100.959101.12101.002100.758100.569100.37100.212100.11100.01199.992100100.072
6서울중랑구76.49776.60176.71876.78776.94877.14277.43477.57377.78377.98278.21678.37878.58678.70778.82578.95879.16179.30679.47479.73180.05480.20780.46780.68980.82780.93681.04581.19581.35881.60981.96982.22982.54182.86483.14883.36283.55783.75584.02984.21684.52684.74385.085.25885.64485.94886.35286.82287.18987.60187.87188.06888.36888.68588.97889.23689.47889.74290.00990.36990.62390.94791.28891.5991.8392.13292.3792.62592.86193.10193.42293.70194.04994.28294.63294.95195.29395.62795.98396.35396.70497.07497.42597.68498.01298.34798.60398.85499.13999.43399.747100.073100.38100.671100.788100.72100.608100.509100.37100.239100.104100.01199.983100100.049
7서울성북구76.53376.63676.72976.83276.91777.04377.14477.24477.42377.54877.72877.8678.0778.2178.378.36178.51678.71378.94479.11979.25979.38779.54179.65379.68679.72879.91280.10680.29480.5180.74581.04381.21681.43681.74981.84282.1582.22782.45582.80383.02883.1383.45883.6884.3284.70385.29485.79286.2886.53986.81486.99487.24187.4887.83288.12288.41288.65989.00989.35289.83490.38390.74291.04591.27391.48191.67891.95492.38692.69993.06693.45393.82994.25794.61995.04495.42795.83996.19996.54796.91897.30197.69198.07898.43898.79199.0799.37199.66499.98100.321100.671101.036101.344101.389101.31100.966100.708100.46100.251100.159100.063100.003100100.03
8서울강북구79.6979.83380.02680.24980.26980.28680.2580.4880.58380.83880.94481.07781.12981.28881.43781.54281.74181.77481.98382.01182.18482.26282.42882.59582.74582.88582.97883.07683.37583.4783.81484.08584.31184.51384.70784.89385.00185.15185.29385.52885.69885.85986.03886.28186.58586.93387.51987.87388.28388.59288.83588.92889.08789.31489.7990.21690.45490.6991.00891.19791.65391.78891.99692.52692.79692.94293.05793.13793.26793.48493.78994.02894.30494.5794.88195.14895.54296.01696.48996.82697.04497.46597.77598.1498.37698.62998.7699.01499.22199.51599.813100.163100.414100.741100.796100.694100.58100.448100.35100.256100.168100.04299.989100100.018
9서울도봉구79.72579.82779.99780.0280.18780.20980.43680.44980.53480.5580.55280.75381.00381.16881.27481.37481.41781.52681.76281.84881.92482.08182.39982.49582.65282.7582.87583.04683.30583.53483.95284.20484.63284.91585.1485.35485.43285.64985.82185.84286.16186.4686.60386.88187.08587.40587.87188.488.8189.14689.42789.57789.73190.07490.58990.76591.08591.36391.6291.94192.28392.53492.73192.81793.00393.10193.3693.55593.82594.11794.32494.57594.84295.19695.49495.77396.11396.45896.8397.1397.5497.81298.08198.3698.66498.93599.17599.35199.58799.863100.063100.263100.463100.696100.779100.692100.567100.492100.389100.307100.204100.124100.008100100.017
지역시군구2014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-07
101경기여주시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100.553100.465100.446100.371100.384100.27100.197100.07100100.04
102경기가평군<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100.193100.182100.213100.209100.216100.223100.236100.023100100.007
103경기양평군79.91679.83779.85679.86379.94679.96779.92980.02780.00880.07480.07480.22980.27580.35480.51480.6280.6280.84180.94981.07781.1181.16981.18181.30581.41281.53481.62881.77981.88482.17282.52882.88283.41183.73383.85584.06684.18684.33684.5584.75585.04285.31985.43185.74685.99486.3386.51386.8287.12687.46987.78888.06688.46188.68988.94589.15589.46289.71989.98790.2190.48390.62190.84991.23891.55191.96792.18592.44492.75593.03393.28993.51493.67294.01594.22994.38494.64295.16795.45795.74396.04196.26996.53996.8197.04997.3497.60897.87198.15998.50198.85799.12199.40799.66699.971100.14100.246100.254100.227100.195100.165100.101100.034100100.058
104충남천안동남구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.54499.48799.40999.42399.50499.56299.66699.852100100.075
105충남천안서북구<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.78899.85299.69299.68799.71699.66299.7699.887100100.146
106충남아산시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.55299.58199.55999.52199.6199.6699.75399.865100100.085
107경북경산시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.93999.96999.96599.96799.96399.87799.96599.99100100.019
108경남김해시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.999.83999.84199.87399.89799.92199.94699.983100100.022
109경남양산시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>100.291100.283100.258100.258100.202100.193100.139100.09810099.978
110강원춘천시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>99.85399.88599.89299.84599.8599.7899.87799.892100100.071