Overview

Dataset statistics

Number of variables127
Number of observations301
Missing cells217
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory335.8 KiB
Average record size in memory1.1 KiB

Variable types

Text1
Numeric125
Categorical1

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 중 월별 지역별 지가지수 데이터입니다. - 기준시점(2022.10.=100.0) - 공표시기 : 익월 25일경
Author공공데이터포털
URLhttps://www.data.go.kr/data/15043980/fileData.do

Alerts

2022-10 is highly imbalanced (96.8%)Imbalance
2013-01 has 7 (2.3%) missing valuesMissing
2013-02 has 7 (2.3%) missing valuesMissing
2013-03 has 7 (2.3%) missing valuesMissing
2013-04 has 7 (2.3%) missing valuesMissing
2013-05 has 7 (2.3%) missing valuesMissing
2013-06 has 7 (2.3%) missing valuesMissing
2013-07 has 7 (2.3%) missing valuesMissing
2013-08 has 6 (2.0%) missing valuesMissing
2013-09 has 6 (2.0%) missing valuesMissing
2013-10 has 6 (2.0%) missing valuesMissing
2013-11 has 6 (2.0%) missing valuesMissing
2013-12 has 6 (2.0%) missing valuesMissing
2014-01 has 6 (2.0%) missing valuesMissing
2014-02 has 6 (2.0%) missing valuesMissing
2014-03 has 6 (2.0%) missing valuesMissing
2014-04 has 6 (2.0%) missing valuesMissing
2014-05 has 6 (2.0%) missing valuesMissing
지역 has unique valuesUnique

Reproduction

Analysis started2024-04-18 01:53:57.994654
Analysis finished2024-04-18 01:53:58.996419
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct301
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-18T10:53:59.217949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.0930233
Min length2

Characters and Unicode

Total characters1834
Distinct characters146
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)100.0%

Sample

1st row전국
2nd row수도권
3rd row지방
4th row대도시
5th row시지역
ValueCountFrequency (%)
경기 51
 
8.3%
경북 28
 
4.6%
경남 26
 
4.3%
서울 26
 
4.3%
전남 25
 
4.1%
강원 21
 
3.4%
충남 20
 
3.3%
전북 19
 
3.1%
충북 18
 
2.9%
부산 17
 
2.8%
Other values (249) 360
58.9%
2024-04-18T10:53:59.601291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
16.9%
121
 
6.6%
116
 
6.3%
108
 
5.9%
94
 
5.1%
89
 
4.9%
73
 
4.0%
54
 
2.9%
53
 
2.9%
47
 
2.6%
Other values (136) 769
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1524
83.1%
Space Separator 310
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
121
 
7.9%
116
 
7.6%
108
 
7.1%
94
 
6.2%
89
 
5.8%
73
 
4.8%
54
 
3.5%
53
 
3.5%
47
 
3.1%
42
 
2.8%
Other values (135) 727
47.7%
Space Separator
ValueCountFrequency (%)
310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1524
83.1%
Common 310
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
121
 
7.9%
116
 
7.6%
108
 
7.1%
94
 
6.2%
89
 
5.8%
73
 
4.8%
54
 
3.5%
53
 
3.5%
47
 
3.1%
42
 
2.8%
Other values (135) 727
47.7%
Common
ValueCountFrequency (%)
310
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1524
83.1%
ASCII 310
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
100.0%
Hangul
ValueCountFrequency (%)
121
 
7.9%
116
 
7.6%
108
 
7.1%
94
 
6.2%
89
 
5.8%
73
 
4.8%
54
 
3.5%
53
 
3.5%
47
 
3.1%
42
 
2.8%
Other values (135) 727
47.7%

2013-01
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)99.0%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.221912
Minimum56.3
Maximum101.723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:53:59.721314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.3
5-th percentile67.99685
Q173.3905
median77.412
Q381.18375
95-th percentile85.67535
Maximum101.723
Range45.423
Interquartile range (IQR)7.79325

Descriptive statistics

Standard deviation5.8884704
Coefficient of variation (CV)0.076253881
Kurtosis1.0368406
Mean77.221912
Median Absolute Deviation (MAD)3.917
Skewness-0.045868652
Sum22703.242
Variance34.674084
MonotonicityNot monotonic
2024-04-18T10:53:59.827991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.427 2
 
0.7%
73.637 2
 
0.7%
79.547 2
 
0.7%
79.514 1
 
0.3%
79.013 1
 
0.3%
90.947 1
 
0.3%
76.18 1
 
0.3%
75.887 1
 
0.3%
75.996 1
 
0.3%
77.859 1
 
0.3%
Other values (281) 281
93.4%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
56.3 1
0.3%
59.462 1
0.3%
62.697 1
0.3%
63.126 1
0.3%
63.139 1
0.3%
64.867 1
0.3%
65.332 1
0.3%
65.526 1
0.3%
65.753 1
0.3%
65.787 1
0.3%
ValueCountFrequency (%)
101.723 1
0.3%
94.028 1
0.3%
90.947 1
0.3%
90.709 1
0.3%
89.261 1
0.3%
88.374 1
0.3%
88.287 1
0.3%
87.589 1
0.3%
87.307 1
0.3%
87.243 1
0.3%

2013-02
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.3%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.274816
Minimum56.652
Maximum101.874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:53:59.931603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.652
5-th percentile68.077
Q173.445
median77.4475
Q381.226
95-th percentile85.71555
Maximum101.874
Range45.222
Interquartile range (IQR)7.781

Descriptive statistics

Standard deviation5.8868281
Coefficient of variation (CV)0.076180422
Kurtosis1.0254857
Mean77.274816
Median Absolute Deviation (MAD)3.904
Skewness-0.033879377
Sum22718.796
Variance34.654745
MonotonicityNot monotonic
2024-04-18T10:54:00.058129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.722 2
 
0.7%
75.987 2
 
0.7%
87.586 1
 
0.3%
89.303 1
 
0.3%
84.568 1
 
0.3%
85.217 1
 
0.3%
84.792 1
 
0.3%
80.069 1
 
0.3%
80.841 1
 
0.3%
80.806 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
56.652 1
0.3%
59.572 1
0.3%
62.815 1
0.3%
63.199 1
0.3%
63.21 1
0.3%
64.915 1
0.3%
65.43 1
0.3%
65.569 1
0.3%
65.787 1
0.3%
65.883 1
0.3%
ValueCountFrequency (%)
101.874 1
0.3%
94.186 1
0.3%
91.033 1
0.3%
90.797 1
0.3%
89.303 1
0.3%
88.393 1
0.3%
88.347 1
0.3%
87.586 1
0.3%
87.393 1
0.3%
87.303 1
0.3%

2013-03
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)99.7%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.350422
Minimum56.94
Maximum102.021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:00.171054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.94
5-th percentile68.1642
Q173.50625
median77.4395
Q381.28875
95-th percentile85.79065
Maximum102.021
Range45.081
Interquartile range (IQR)7.7825

Descriptive statistics

Standard deviation5.8823378
Coefficient of variation (CV)0.076047908
Kurtosis1.0223317
Mean77.350422
Median Absolute Deviation (MAD)3.9195
Skewness-0.0249263
Sum22741.024
Variance34.601898
MonotonicityNot monotonic
2024-04-18T10:54:00.288670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.817 2
 
0.7%
80.896 1
 
0.3%
79.723 1
 
0.3%
79.126 1
 
0.3%
91.156 1
 
0.3%
76.353 1
 
0.3%
76.028 1
 
0.3%
76.152 1
 
0.3%
78.009 1
 
0.3%
80.157 1
 
0.3%
Other values (283) 283
94.0%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
56.94 1
0.3%
59.666 1
0.3%
62.975 1
0.3%
63.278 1
0.3%
63.318 1
0.3%
65.0 1
0.3%
65.519 1
0.3%
65.704 1
0.3%
65.885 1
0.3%
65.97 1
0.3%
ValueCountFrequency (%)
102.021 1
0.3%
94.279 1
0.3%
91.156 1
0.3%
90.911 1
0.3%
89.369 1
0.3%
88.507 1
0.3%
88.369 1
0.3%
87.641 1
0.3%
87.497 1
0.3%
87.386 1
0.3%

2013-04
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.3%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.435405
Minimum57.296
Maximum102.181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:00.402574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.296
5-th percentile68.2736
Q173.573
median77.4915
Q381.36775
95-th percentile85.88085
Maximum102.181
Range44.885
Interquartile range (IQR)7.79475

Descriptive statistics

Standard deviation5.8758377
Coefficient of variation (CV)0.075880506
Kurtosis1.0213601
Mean77.435405
Median Absolute Deviation (MAD)3.9065
Skewness-0.010975985
Sum22766.009
Variance34.525469
MonotonicityNot monotonic
2024-04-18T10:54:00.510686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.921 2
 
0.7%
79.158 2
 
0.7%
80.974 1
 
0.3%
79.179 1
 
0.3%
91.258 1
 
0.3%
76.43 1
 
0.3%
76.115 1
 
0.3%
76.234 1
 
0.3%
78.084 1
 
0.3%
84.944 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
57.296 1
0.3%
59.768 1
0.3%
63.252 1
0.3%
63.359 1
0.3%
63.525 1
0.3%
65.089 1
0.3%
65.758 1
0.3%
65.842 1
0.3%
65.984 1
0.3%
66.087 1
0.3%
ValueCountFrequency (%)
102.181 1
0.3%
94.466 1
0.3%
91.258 1
0.3%
91.027 1
0.3%
89.44 1
0.3%
88.717 1
0.3%
88.397 1
0.3%
87.689 1
0.3%
87.646 1
0.3%
87.556 1
0.3%

2013-05
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)98.6%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.511381
Minimum57.584
Maximum102.354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:00.626159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.584
5-th percentile68.3351
Q173.62625
median77.571
Q381.41775
95-th percentile85.948
Maximum102.354
Range44.77
Interquartile range (IQR)7.7915

Descriptive statistics

Standard deviation5.8675875
Coefficient of variation (CV)0.07569969
Kurtosis1.0325104
Mean77.511381
Median Absolute Deviation (MAD)3.8865
Skewness1.3175923 × 10-5
Sum22788.346
Variance34.428583
MonotonicityNot monotonic
2024-04-18T10:54:00.737324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.037 2
 
0.7%
84.256 2
 
0.7%
83.989 2
 
0.7%
79.895 2
 
0.7%
81.01 1
 
0.3%
91.307 1
 
0.3%
76.491 1
 
0.3%
76.185 1
 
0.3%
76.3 1
 
0.3%
78.141 1
 
0.3%
Other values (280) 280
93.0%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
57.584 1
0.3%
59.882 1
0.3%
63.388 1
0.3%
63.448 1
0.3%
63.712 1
0.3%
65.218 1
0.3%
65.941 1
0.3%
66.0 1
0.3%
66.064 1
0.3%
66.11 1
0.3%
ValueCountFrequency (%)
102.354 1
0.3%
94.605 1
0.3%
91.307 1
0.3%
91.198 1
0.3%
89.422 1
0.3%
88.905 1
0.3%
88.354 1
0.3%
87.808 1
0.3%
87.692 1
0.3%
87.661 1
0.3%

2013-06
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)99.0%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.583177
Minimum57.715
Maximum102.538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:00.847312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.715
5-th percentile68.38415
Q173.7365
median77.56
Q381.436
95-th percentile86.02535
Maximum102.538
Range44.823
Interquartile range (IQR)7.6995

Descriptive statistics

Standard deviation5.8618819
Coefficient of variation (CV)0.075556095
Kurtosis1.0554892
Mean77.583177
Median Absolute Deviation (MAD)3.8735
Skewness0.014325802
Sum22809.454
Variance34.361659
MonotonicityNot monotonic
2024-04-18T10:54:00.956908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.813 2
 
0.7%
74.031 2
 
0.7%
80.586 2
 
0.7%
81.06 1
 
0.3%
79.18 1
 
0.3%
91.38 1
 
0.3%
76.587 1
 
0.3%
76.272 1
 
0.3%
76.391 1
 
0.3%
78.151 1
 
0.3%
Other values (281) 281
93.4%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
57.715 1
0.3%
60.0 1
0.3%
63.572 1
0.3%
63.637 1
0.3%
63.832 1
0.3%
65.377 1
0.3%
66.023 1
0.3%
66.1 1
0.3%
66.201 1
0.3%
66.226 1
0.3%
ValueCountFrequency (%)
102.538 1
0.3%
94.799 1
0.3%
91.43 1
0.3%
91.38 1
0.3%
89.415 1
0.3%
89.072 1
0.3%
88.265 1
0.3%
87.993 1
0.3%
87.857 1
0.3%
87.703 1
0.3%

2013-07
Real number (ℝ)

MISSING 

Distinct290
Distinct (%)98.6%
Missing7
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean77.60601
Minimum57.94
Maximum102.489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:01.069781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.94
5-th percentile68.33825
Q173.7225
median77.621
Q381.449
95-th percentile86.03405
Maximum102.489
Range44.549
Interquartile range (IQR)7.7265

Descriptive statistics

Standard deviation5.8678172
Coefficient of variation (CV)0.075610345
Kurtosis1.0226416
Mean77.60601
Median Absolute Deviation (MAD)3.8865
Skewness0.014770657
Sum22816.167
Variance34.431279
MonotonicityNot monotonic
2024-04-18T10:54:01.177408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.432 2
 
0.7%
73.987 2
 
0.7%
73.893 2
 
0.7%
75.511 2
 
0.7%
76.409 1
 
0.3%
79.951 1
 
0.3%
79.199 1
 
0.3%
91.403 1
 
0.3%
76.611 1
 
0.3%
76.286 1
 
0.3%
Other values (280) 280
93.0%
(Missing) 7
 
2.3%
ValueCountFrequency (%)
57.94 1
0.3%
59.99 1
0.3%
63.533 1
0.3%
63.779 1
0.3%
63.826 1
0.3%
65.364 1
0.3%
65.976 1
0.3%
66.156 1
0.3%
66.18 1
0.3%
66.251 1
0.3%
ValueCountFrequency (%)
102.489 1
0.3%
94.865 1
0.3%
91.5 1
0.3%
91.403 1
0.3%
89.402 1
0.3%
89.146 1
0.3%
88.179 1
0.3%
88.054 1
0.3%
87.979 1
0.3%
87.782 1
0.3%

2013-08
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)99.3%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.619712
Minimum58.058
Maximum102.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:01.284281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.058
5-th percentile68.3264
Q173.7845
median77.716
Q381.476
95-th percentile85.9985
Maximum102.56
Range44.502
Interquartile range (IQR)7.6915

Descriptive statistics

Standard deviation5.8595633
Coefficient of variation (CV)0.075490661
Kurtosis1.0334259
Mean77.619712
Median Absolute Deviation (MAD)3.907
Skewness0.014483097
Sum22897.815
Variance34.334482
MonotonicityNot monotonic
2024-04-18T10:54:01.391096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.247 2
 
0.7%
74.005 2
 
0.7%
81.074 1
 
0.3%
79.176 1
 
0.3%
91.394 1
 
0.3%
76.609 1
 
0.3%
76.279 1
 
0.3%
76.405 1
 
0.3%
78.144 1
 
0.3%
85.004 1
 
0.3%
Other values (283) 283
94.0%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
58.058 1
0.3%
59.964 1
0.3%
63.6 1
0.3%
63.841 1
0.3%
63.847 1
0.3%
65.415 1
0.3%
65.991 1
0.3%
66.122 1
0.3%
66.205 1
0.3%
66.264 1
0.3%
ValueCountFrequency (%)
102.56 1
0.3%
94.917 1
0.3%
91.411 1
0.3%
91.394 1
0.3%
89.41 1
0.3%
89.132 1
0.3%
88.235 1
0.3%
88.048 1
0.3%
88.009 1
0.3%
87.773 1
0.3%

2013-09
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)99.3%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.650095
Minimum58.284
Maximum102.548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:01.503310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.284
5-th percentile68.391
Q173.8365
median77.838
Q381.454
95-th percentile85.9834
Maximum102.548
Range44.264
Interquartile range (IQR)7.6175

Descriptive statistics

Standard deviation5.8418087
Coefficient of variation (CV)0.075232473
Kurtosis1.0299718
Mean77.650095
Median Absolute Deviation (MAD)3.915
Skewness0.02493053
Sum22906.778
Variance34.126729
MonotonicityNot monotonic
2024-04-18T10:54:01.621433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.787 2
 
0.7%
74.006 2
 
0.7%
78.149 1
 
0.3%
79.867 1
 
0.3%
79.187 1
 
0.3%
91.407 1
 
0.3%
76.701 1
 
0.3%
76.357 1
 
0.3%
76.489 1
 
0.3%
80.357 1
 
0.3%
Other values (283) 283
94.0%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
58.284 1
0.3%
60.007 1
0.3%
63.676 1
0.3%
64.055 1
0.3%
64.132 1
0.3%
65.479 1
0.3%
66.139 1
0.3%
66.154 1
0.3%
66.306 1
0.3%
66.492 1
0.3%
ValueCountFrequency (%)
102.548 1
0.3%
94.959 1
0.3%
91.548 1
0.3%
91.407 1
0.3%
89.408 1
0.3%
89.152 1
0.3%
88.21 1
0.3%
88.119 1
0.3%
88.045 1
0.3%
87.764 1
0.3%

2013-10
Real number (ℝ)

MISSING 

Distinct293
Distinct (%)99.3%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.752661
Minimum58.541
Maximum102.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:01.730264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.541
5-th percentile68.4696
Q173.9335
median77.891
Q381.532
95-th percentile86.0779
Maximum102.73
Range44.189
Interquartile range (IQR)7.5985

Descriptive statistics

Standard deviation5.8394682
Coefficient of variation (CV)0.07510313
Kurtosis1.0349486
Mean77.752661
Median Absolute Deviation (MAD)3.895
Skewness0.038441967
Sum22937.035
Variance34.099389
MonotonicityNot monotonic
2024-04-18T10:54:01.840007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.348 2
 
0.7%
74.178 2
 
0.7%
81.234 1
 
0.3%
79.328 1
 
0.3%
91.536 1
 
0.3%
76.805 1
 
0.3%
76.484 1
 
0.3%
76.605 1
 
0.3%
78.25 1
 
0.3%
80.473 1
 
0.3%
Other values (283) 283
94.0%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
58.541 1
0.3%
60.112 1
0.3%
63.76 1
0.3%
64.301 1
0.3%
64.437 1
0.3%
65.592 1
0.3%
66.22 1
0.3%
66.349 1
0.3%
66.43 1
0.3%
66.739 1
0.3%
ValueCountFrequency (%)
102.73 1
0.3%
95.161 1
0.3%
91.773 1
0.3%
91.536 1
0.3%
89.513 1
0.3%
89.317 1
0.3%
88.305 1
0.3%
88.218 1
0.3%
88.089 1
0.3%
87.825 1
0.3%

2013-11
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.0%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.861407
Minimum58.724
Maximum102.808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:01.950544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.724
5-th percentile68.5227
Q174.0135
median77.917
Q381.6685
95-th percentile86.1462
Maximum102.808
Range44.084
Interquartile range (IQR)7.655

Descriptive statistics

Standard deviation5.8322408
Coefficient of variation (CV)0.074905413
Kurtosis1.0336627
Mean77.861407
Median Absolute Deviation (MAD)3.837
Skewness0.04250501
Sum22969.115
Variance34.015033
MonotonicityNot monotonic
2024-04-18T10:54:02.056441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.358 2
 
0.7%
74.129 2
 
0.7%
74.805 2
 
0.7%
78.387 1
 
0.3%
80.129 1
 
0.3%
79.462 1
 
0.3%
91.659 1
 
0.3%
76.933 1
 
0.3%
76.619 1
 
0.3%
76.738 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
58.724 1
0.3%
60.151 1
0.3%
63.899 1
0.3%
64.582 1
0.3%
64.658 1
0.3%
65.796 1
0.3%
66.291 1
0.3%
66.519 1
0.3%
66.617 1
0.3%
66.869 1
0.3%
ValueCountFrequency (%)
102.808 1
0.3%
95.251 1
0.3%
92.068 1
0.3%
91.659 1
0.3%
89.654 1
0.3%
89.363 1
0.3%
88.493 1
0.3%
88.267 1
0.3%
88.11 1
0.3%
87.894 1
0.3%

2013-12
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)98.6%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.966658
Minimum59.007
Maximum102.862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:02.164410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.007
5-th percentile68.6619
Q174.0575
median77.956
Q381.768
95-th percentile86.265
Maximum102.862
Range43.855
Interquartile range (IQR)7.7105

Descriptive statistics

Standard deviation5.824201
Coefficient of variation (CV)0.074701176
Kurtosis1.0216112
Mean77.966658
Median Absolute Deviation (MAD)3.879
Skewness0.047945423
Sum23000.164
Variance33.921317
MonotonicityNot monotonic
2024-04-18T10:54:02.301142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.603 2
 
0.7%
74.843 2
 
0.7%
78.534 2
 
0.7%
82.094 2
 
0.7%
81.515 1
 
0.3%
79.628 1
 
0.3%
91.81 1
 
0.3%
77.054 1
 
0.3%
76.779 1
 
0.3%
76.88 1
 
0.3%
Other values (281) 281
93.4%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
59.007 1
0.3%
60.244 1
0.3%
64.041 1
0.3%
64.777 1
0.3%
64.949 1
0.3%
65.883 1
0.3%
66.433 1
0.3%
66.704 1
0.3%
66.761 1
0.3%
66.888 1
0.3%
ValueCountFrequency (%)
102.862 1
0.3%
95.343 1
0.3%
92.21 1
0.3%
91.81 1
0.3%
89.837 1
0.3%
89.437 1
0.3%
88.65 1
0.3%
88.452 1
0.3%
88.207 1
0.3%
87.931 1
0.3%

2014-01
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.0%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean78.034471
Minimum59.252
Maximum102.943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:02.409990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.252
5-th percentile68.6933
Q174.2145
median78.009
Q381.817
95-th percentile86.4279
Maximum102.943
Range43.691
Interquartile range (IQR)7.6025

Descriptive statistics

Standard deviation5.8113565
Coefficient of variation (CV)0.074471659
Kurtosis1.0358231
Mean78.034471
Median Absolute Deviation (MAD)3.799
Skewness0.052092775
Sum23020.169
Variance33.771865
MonotonicityNot monotonic
2024-04-18T10:54:02.515244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.573 2
 
0.7%
78.604 2
 
0.7%
74.772 2
 
0.7%
81.593 1
 
0.3%
80.347 1
 
0.3%
79.675 1
 
0.3%
91.885 1
 
0.3%
77.145 1
 
0.3%
76.878 1
 
0.3%
76.975 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
59.252 1
0.3%
60.256 1
0.3%
64.144 1
0.3%
64.914 1
0.3%
65.095 1
0.3%
65.855 1
0.3%
66.486 1
0.3%
66.788 1
0.3%
66.949 1
0.3%
66.972 1
0.3%
ValueCountFrequency (%)
102.943 1
0.3%
95.48 1
0.3%
92.241 1
0.3%
91.885 1
0.3%
89.802 1
0.3%
89.431 1
0.3%
88.655 1
0.3%
88.484 1
0.3%
88.279 1
0.3%
87.995 1
0.3%

2014-02
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.0%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean78.129831
Minimum59.477
Maximum103.124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:02.628035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.477
5-th percentile68.803
Q174.2905
median78.189
Q381.874
95-th percentile86.4959
Maximum103.124
Range43.647
Interquartile range (IQR)7.5835

Descriptive statistics

Standard deviation5.7972203
Coefficient of variation (CV)0.074199831
Kurtosis1.057412
Mean78.129831
Median Absolute Deviation (MAD)3.793
Skewness0.06056213
Sum23048.3
Variance33.607763
MonotonicityNot monotonic
2024-04-18T10:54:02.733629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.061 2
 
0.7%
82.784 2
 
0.7%
81.758 2
 
0.7%
74.814 1
 
0.3%
69.79 1
 
0.3%
86.453 1
 
0.3%
85.939 1
 
0.3%
89.914 1
 
0.3%
88.053 1
 
0.3%
85.347 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
59.477 1
0.3%
60.364 1
0.3%
64.253 1
0.3%
65.108 1
0.3%
65.374 1
0.3%
66.01 1
0.3%
66.684 1
0.3%
66.95 1
0.3%
67.029 1
0.3%
67.15 1
0.3%
ValueCountFrequency (%)
103.124 1
0.3%
95.642 1
0.3%
92.251 1
0.3%
91.948 1
0.3%
89.914 1
0.3%
89.55 1
0.3%
88.759 1
0.3%
88.622 1
0.3%
88.155 1
0.3%
88.053 1
0.3%

2014-03
Real number (ℝ)

MISSING 

Distinct289
Distinct (%)98.0%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean78.257688
Minimum59.777
Maximum103.304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:02.842488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.777
5-th percentile68.868
Q174.45
median78.329
Q381.9865
95-th percentile86.617
Maximum103.304
Range43.527
Interquartile range (IQR)7.5365

Descriptive statistics

Standard deviation5.7888138
Coefficient of variation (CV)0.073971184
Kurtosis1.0655738
Mean78.257688
Median Absolute Deviation (MAD)3.778
Skewness0.068327824
Sum23086.018
Variance33.510366
MonotonicityNot monotonic
2024-04-18T10:54:03.631389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.539 2
 
0.7%
75.3 2
 
0.7%
77.428 2
 
0.7%
82.428 2
 
0.7%
75.827 2
 
0.7%
74.754 2
 
0.7%
72.952 1
 
0.3%
78.823 1
 
0.3%
80.502 1
 
0.3%
79.832 1
 
0.3%
Other values (279) 279
92.7%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
59.777 1
0.3%
60.5 1
0.3%
64.399 1
0.3%
65.44 1
0.3%
65.557 1
0.3%
66.099 1
0.3%
66.84 1
0.3%
67.054 1
0.3%
67.311 1
0.3%
67.428 1
0.3%
ValueCountFrequency (%)
103.304 1
0.3%
95.81 1
0.3%
92.371 1
0.3%
92.096 1
0.3%
90.088 1
0.3%
89.609 1
0.3%
88.917 1
0.3%
88.802 1
0.3%
88.148 1
0.3%
88.062 1
0.3%

2014-04
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)99.0%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean78.381929
Minimum60.144
Maximum103.588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:03.745022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.144
5-th percentile68.9586
Q174.5865
median78.484
Q382.094
95-th percentile86.8148
Maximum103.588
Range43.444
Interquartile range (IQR)7.5075

Descriptive statistics

Standard deviation5.7850954
Coefficient of variation (CV)0.073806495
Kurtosis1.0898397
Mean78.381929
Median Absolute Deviation (MAD)3.811
Skewness0.081817913
Sum23122.669
Variance33.467329
MonotonicityNot monotonic
2024-04-18T10:54:03.849088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.569 2
 
0.7%
73.266 2
 
0.7%
81.787 2
 
0.7%
71.607 1
 
0.3%
85.36 1
 
0.3%
77.612 1
 
0.3%
77.329 1
 
0.3%
77.432 1
 
0.3%
78.926 1
 
0.3%
81.971 1
 
0.3%
Other values (282) 282
93.7%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
60.144 1
0.3%
60.646 1
0.3%
64.576 1
0.3%
65.644 1
0.3%
65.761 1
0.3%
66.164 1
0.3%
66.97 1
0.3%
67.167 1
0.3%
67.477 1
0.3%
67.557 1
0.3%
ValueCountFrequency (%)
103.588 1
0.3%
96.072 1
0.3%
92.548 1
0.3%
92.204 1
0.3%
90.18 1
0.3%
89.729 1
0.3%
89.099 1
0.3%
89.057 1
0.3%
88.173 1
0.3%
88.167 1
0.3%

2014-05
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)98.6%
Missing6
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean78.486658
Minimum60.439
Maximum104.005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:03.957301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.439
5-th percentile68.9933
Q174.7205
median78.597
Q382.1545
95-th percentile86.9761
Maximum104.005
Range43.566
Interquartile range (IQR)7.434

Descriptive statistics

Standard deviation5.7808281
Coefficient of variation (CV)0.073653641
Kurtosis1.1432826
Mean78.486658
Median Absolute Deviation (MAD)3.835
Skewness0.098878028
Sum23153.564
Variance33.417974
MonotonicityNot monotonic
2024-04-18T10:54:04.061888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.755 2
 
0.7%
81.36 2
 
0.7%
75.692 2
 
0.7%
82.111 2
 
0.7%
83.375 1
 
0.3%
81.265 1
 
0.3%
92.247 1
 
0.3%
77.723 1
 
0.3%
77.436 1
 
0.3%
77.541 1
 
0.3%
Other values (281) 281
93.4%
(Missing) 6
 
2.0%
ValueCountFrequency (%)
60.439 1
0.3%
60.78 1
0.3%
64.731 1
0.3%
65.782 1
0.3%
65.966 1
0.3%
66.307 1
0.3%
67.058 1
0.3%
67.26 1
0.3%
67.562 1
0.3%
67.778 1
0.3%
ValueCountFrequency (%)
104.005 1
0.3%
96.297 1
0.3%
92.573 1
0.3%
92.247 1
0.3%
90.225 1
0.3%
89.994 1
0.3%
89.242 1
0.3%
89.153 1
0.3%
88.218 1
0.3%
88.213 1
0.3%

2014-06
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean78.630327
Minimum60.67
Maximum104.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:04.173691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.67
5-th percentile69.1991
Q174.8205
median78.873
Q382.2785
95-th percentile87.071
Maximum104.348
Range43.678
Interquartile range (IQR)7.458

Descriptive statistics

Standard deviation5.7387512
Coefficient of variation (CV)0.072983942
Kurtosis1.2213984
Mean78.630327
Median Absolute Deviation (MAD)3.7675
Skewness0.10184167
Sum23589.098
Variance32.933265
MonotonicityNot monotonic
2024-04-18T10:54:04.306151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.075 2
 
0.7%
75.916 2
 
0.7%
86.044 1
 
0.3%
77.84 1
 
0.3%
77.563 1
 
0.3%
77.664 1
 
0.3%
79.113 1
 
0.3%
82.162 1
 
0.3%
81.384 1
 
0.3%
85.455 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
60.67 1
0.3%
60.916 1
0.3%
64.917 1
0.3%
65.969 1
0.3%
66.161 1
0.3%
66.54 1
0.3%
67.199 1
0.3%
67.421 1
0.3%
67.62 1
0.3%
67.965 1
0.3%
ValueCountFrequency (%)
104.348 1
0.3%
96.504 1
0.3%
92.681 1
0.3%
92.376 1
0.3%
90.313 1
0.3%
90.133 1
0.3%
89.389 1
0.3%
89.238 1
0.3%
88.282 1
0.3%
88.255 1
0.3%

2014-07
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean78.753587
Minimum60.973
Maximum104.552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:04.442516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.973
5-th percentile69.422
Q174.85175
median78.966
Q382.40325
95-th percentile87.207
Maximum104.552
Range43.579
Interquartile range (IQR)7.5515

Descriptive statistics

Standard deviation5.7353248
Coefficient of variation (CV)0.072826205
Kurtosis1.2404495
Mean78.753587
Median Absolute Deviation (MAD)3.731
Skewness0.11607155
Sum23626.076
Variance32.893951
MonotonicityNot monotonic
2024-04-18T10:54:04.574995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.122 2
 
0.7%
84.377 2
 
0.7%
75.239 1
 
0.3%
82.305 1
 
0.3%
80.242 1
 
0.3%
92.58 1
 
0.3%
77.974 1
 
0.3%
77.733 1
 
0.3%
77.818 1
 
0.3%
79.209 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
60.973 1
0.3%
60.995 1
0.3%
65.106 1
0.3%
66.151 1
0.3%
66.427 1
0.3%
66.721 1
0.3%
67.345 1
0.3%
67.607 1
0.3%
67.684 1
0.3%
68.166 1
0.3%
ValueCountFrequency (%)
104.552 1
0.3%
96.815 1
0.3%
92.848 1
0.3%
92.58 1
0.3%
90.415 1
0.3%
90.269 1
0.3%
89.542 1
0.3%
89.328 1
0.3%
88.358 1
0.3%
88.341 1
0.3%

2014-08
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean78.848893
Minimum61.077
Maximum104.658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:04.686296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.077
5-th percentile69.58325
Q174.92475
median79.0665
Q382.4985
95-th percentile87.2844
Maximum104.658
Range43.581
Interquartile range (IQR)7.57375

Descriptive statistics

Standard deviation5.7227255
Coefficient of variation (CV)0.072578387
Kurtosis1.2356323
Mean78.848893
Median Absolute Deviation (MAD)3.744
Skewness0.12151245
Sum23654.668
Variance32.749587
MonotonicityNot monotonic
2024-04-18T10:54:04.794544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.345 2
 
0.7%
81.889 2
 
0.7%
75.343 1
 
0.3%
85.708 1
 
0.3%
78.055 1
 
0.3%
77.827 1
 
0.3%
77.906 1
 
0.3%
79.313 1
 
0.3%
82.361 1
 
0.3%
81.584 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
61.077 1
0.3%
61.287 1
0.3%
65.279 1
0.3%
66.338 1
0.3%
66.626 1
0.3%
66.862 1
0.3%
67.527 1
0.3%
67.732 1
0.3%
67.741 1
0.3%
68.364 1
0.3%
ValueCountFrequency (%)
104.658 1
0.3%
96.849 1
0.3%
92.879 1
0.3%
92.627 1
0.3%
90.493 1
0.3%
90.334 1
0.3%
89.627 1
0.3%
89.378 1
0.3%
88.443 1
0.3%
88.414 1
0.3%

2014-09
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean78.96536
Minimum61.226
Maximum104.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:04.905613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.226
5-th percentile69.6562
Q175.03675
median79.1475
Q382.59475
95-th percentile87.38755
Maximum104.83
Range43.604
Interquartile range (IQR)7.558

Descriptive statistics

Standard deviation5.7135465
Coefficient of variation (CV)0.072355099
Kurtosis1.2564787
Mean78.96536
Median Absolute Deviation (MAD)3.7965
Skewness0.13381343
Sum23689.608
Variance32.644613
MonotonicityNot monotonic
2024-04-18T10:54:05.010260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.407 2
 
0.7%
76.589 2
 
0.7%
74.145 2
 
0.7%
75.483 1
 
0.3%
82.441 1
 
0.3%
80.38 1
 
0.3%
92.662 1
 
0.3%
78.141 1
 
0.3%
77.927 1
 
0.3%
77.999 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
61.226 1
0.3%
61.406 1
0.3%
65.473 1
0.3%
66.692 1
0.3%
66.856 1
0.3%
66.989 1
0.3%
67.725 1
0.3%
67.845 1
0.3%
67.857 1
0.3%
68.639 1
0.3%
ValueCountFrequency (%)
104.83 1
0.3%
97.038 1
0.3%
93.093 1
0.3%
92.662 1
0.3%
90.618 1
0.3%
90.48 1
0.3%
89.815 1
0.3%
89.558 1
0.3%
88.55 1
0.3%
88.522 1
0.3%

2014-10
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.101003
Minimum61.381
Maximum104.983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:05.120034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.381
5-th percentile69.8168
Q175.11825
median79.2605
Q382.79575
95-th percentile87.4703
Maximum104.983
Range43.602
Interquartile range (IQR)7.6775

Descriptive statistics

Standard deviation5.7091957
Coefficient of variation (CV)0.072176021
Kurtosis1.2778066
Mean79.101003
Median Absolute Deviation (MAD)3.8395
Skewness0.14742829
Sum23730.301
Variance32.594915
MonotonicityNot monotonic
2024-04-18T10:54:05.227189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.474 2
 
0.7%
76.842 2
 
0.7%
82.105 2
 
0.7%
78.42 2
 
0.7%
82.608 2
 
0.7%
81.801 1
 
0.3%
78.261 1
 
0.3%
78.049 1
 
0.3%
78.12 1
 
0.3%
79.511 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
61.381 1
0.3%
61.468 1
0.3%
65.684 1
0.3%
67.05 1
0.3%
67.092 1
0.3%
67.195 1
0.3%
67.988 1
0.3%
68.054 1
0.3%
68.13 1
0.3%
68.745 1
0.3%
ValueCountFrequency (%)
104.983 1
0.3%
97.337 1
0.3%
93.305 1
0.3%
92.85 1
0.3%
90.948 1
0.3%
90.561 1
0.3%
90.077 1
0.3%
89.704 1
0.3%
88.776 1
0.3%
88.69 1
0.3%

2014-11
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.21862
Minimum61.506
Maximum105.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:05.334535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.506
5-th percentile69.9527
Q175.302
median79.343
Q382.8805
95-th percentile87.5018
Maximum105.221
Range43.715
Interquartile range (IQR)7.5785

Descriptive statistics

Standard deviation5.7049536
Coefficient of variation (CV)0.072015311
Kurtosis1.3032755
Mean79.21862
Median Absolute Deviation (MAD)3.807
Skewness0.15368856
Sum23765.586
Variance32.546495
MonotonicityNot monotonic
2024-04-18T10:54:05.450564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.102 2
 
0.7%
75.756 1
 
0.3%
86.572 1
 
0.3%
78.367 1
 
0.3%
78.141 1
 
0.3%
78.219 1
 
0.3%
79.621 1
 
0.3%
82.702 1
 
0.3%
81.916 1
 
0.3%
86.031 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
61.506 1
0.3%
61.519 1
0.3%
65.924 1
0.3%
67.319 1
0.3%
67.342 1
0.3%
67.363 1
0.3%
68.073 1
0.3%
68.167 1
0.3%
68.228 1
0.3%
68.831 1
0.3%
ValueCountFrequency (%)
105.221 1
0.3%
97.452 1
0.3%
93.406 1
0.3%
92.992 1
0.3%
91.036 1
0.3%
90.591 1
0.3%
90.196 1
0.3%
89.793 1
0.3%
88.912 1
0.3%
88.835 1
0.3%

2014-12
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.347673
Minimum61.664
Maximum105.238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:05.560346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.664
5-th percentile70.0984
Q175.36425
median79.4775
Q383.05125
95-th percentile87.6265
Maximum105.238
Range43.574
Interquartile range (IQR)7.687

Descriptive statistics

Standard deviation5.698536
Coefficient of variation (CV)0.071817305
Kurtosis1.2933247
Mean79.347673
Median Absolute Deviation (MAD)3.8175
Skewness0.15689728
Sum23804.302
Variance32.473313
MonotonicityNot monotonic
2024-04-18T10:54:05.667856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.815 2
 
0.7%
77.385 2
 
0.7%
77.591 2
 
0.7%
82.033 1
 
0.3%
93.158 1
 
0.3%
78.454 1
 
0.3%
78.229 1
 
0.3%
78.307 1
 
0.3%
79.739 1
 
0.3%
82.819 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
61.664 1
0.3%
61.678 1
0.3%
66.109 1
0.3%
67.508 1
0.3%
67.538 1
0.3%
67.548 1
0.3%
68.124 1
0.3%
68.318 1
0.3%
68.421 1
0.3%
68.91 1
0.3%
ValueCountFrequency (%)
105.238 1
0.3%
97.693 1
0.3%
93.54 1
0.3%
93.158 1
0.3%
91.202 1
0.3%
90.685 1
0.3%
90.37 1
0.3%
89.964 1
0.3%
89.142 1
0.3%
89.007 1
0.3%

2015-01
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.449877
Minimum61.711
Maximum105.312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:05.782331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.711
5-th percentile70.25725
Q175.4965
median79.567
Q383.2055
95-th percentile87.6511
Maximum105.312
Range43.601
Interquartile range (IQR)7.709

Descriptive statistics

Standard deviation5.6870078
Coefficient of variation (CV)0.071579819
Kurtosis1.3151066
Mean79.449877
Median Absolute Deviation (MAD)3.841
Skewness0.16082518
Sum23834.963
Variance32.342058
MonotonicityNot monotonic
2024-04-18T10:54:05.888931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.611 2
 
0.7%
74.016 2
 
0.7%
75.99 1
 
0.3%
82.143 1
 
0.3%
93.279 1
 
0.3%
78.539 1
 
0.3%
78.438 1
 
0.3%
78.459 1
 
0.3%
79.819 1
 
0.3%
82.939 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
61.711 1
0.3%
61.815 1
0.3%
66.319 1
0.3%
67.656 1
0.3%
67.761 1
0.3%
67.765 1
0.3%
68.181 1
0.3%
68.392 1
0.3%
68.555 1
0.3%
68.972 1
0.3%
ValueCountFrequency (%)
105.312 1
0.3%
97.964 1
0.3%
93.54 1
0.3%
93.279 1
0.3%
91.321 1
0.3%
90.671 1
0.3%
90.447 1
0.3%
90.114 1
0.3%
89.18 1
0.3%
89.076 1
0.3%

2015-02
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.555643
Minimum61.758
Maximum105.398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:06.021868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.758
5-th percentile70.4057
Q175.689
median79.6465
Q383.34725
95-th percentile87.6962
Maximum105.398
Range43.64
Interquartile range (IQR)7.65825

Descriptive statistics

Standard deviation5.6718559
Coefficient of variation (CV)0.071294199
Kurtosis1.3458939
Mean79.555643
Median Absolute Deviation (MAD)3.843
Skewness0.16433776
Sum23866.693
Variance32.169949
MonotonicityNot monotonic
2024-04-18T10:54:06.142316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.337 2
 
0.7%
77.894 2
 
0.7%
77.887 2
 
0.7%
83.097 2
 
0.7%
86.537 2
 
0.7%
76.103 1
 
0.3%
86.508 1
 
0.3%
78.62 1
 
0.3%
79.914 1
 
0.3%
83.063 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
61.758 1
0.3%
61.965 1
0.3%
66.485 1
0.3%
67.818 1
0.3%
67.961 1
0.3%
67.966 1
0.3%
68.265 1
0.3%
68.557 1
0.3%
68.698 1
0.3%
69.037 1
0.3%
ValueCountFrequency (%)
105.398 1
0.3%
98.107 1
0.3%
93.754 1
0.3%
93.377 1
0.3%
91.438 1
0.3%
90.773 1
0.3%
90.573 1
0.3%
90.249 1
0.3%
89.239 1
0.3%
89.197 1
0.3%

2015-03
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.70382
Minimum61.894
Maximum105.622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:06.272196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.894
5-th percentile70.55185
Q175.8775
median79.7525
Q383.52725
95-th percentile87.8301
Maximum105.622
Range43.728
Interquartile range (IQR)7.64975

Descriptive statistics

Standard deviation5.6683437
Coefficient of variation (CV)0.071117592
Kurtosis1.3645164
Mean79.70382
Median Absolute Deviation (MAD)3.8435
Skewness0.17039489
Sum23911.146
Variance32.130121
MonotonicityNot monotonic
2024-04-18T10:54:06.379379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.855 2
 
0.7%
78.057 2
 
0.7%
75.909 2
 
0.7%
79.327 2
 
0.7%
86.613 1
 
0.3%
78.894 1
 
0.3%
78.816 1
 
0.3%
80.049 1
 
0.3%
83.23 1
 
0.3%
82.42 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
61.894 1
0.3%
62.151 1
0.3%
66.713 1
0.3%
67.981 1
0.3%
68.195 1
0.3%
68.236 1
0.3%
68.354 1
0.3%
68.736 1
0.3%
68.891 1
0.3%
69.11 1
0.3%
ValueCountFrequency (%)
105.622 1
0.3%
98.277 1
0.3%
93.892 1
0.3%
93.535 1
0.3%
91.598 1
0.3%
90.883 1
0.3%
90.746 1
0.3%
90.389 1
0.3%
89.412 1
0.3%
89.387 1
0.3%

2015-04
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.850587
Minimum62.084
Maximum105.666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:06.497032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.084
5-th percentile70.77845
Q176.04825
median79.8535
Q383.63475
95-th percentile87.93865
Maximum105.666
Range43.582
Interquartile range (IQR)7.5865

Descriptive statistics

Standard deviation5.6566705
Coefficient of variation (CV)0.070840689
Kurtosis1.3617241
Mean79.850587
Median Absolute Deviation (MAD)3.801
Skewness0.17363264
Sum23955.176
Variance31.997922
MonotonicityNot monotonic
2024-04-18T10:54:06.605581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.522 2
 
0.7%
78.29 2
 
0.7%
83.792 2
 
0.7%
87.008 1
 
0.3%
78.872 1
 
0.3%
79.106 1
 
0.3%
78.974 1
 
0.3%
80.148 1
 
0.3%
83.378 1
 
0.3%
82.555 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
62.084 1
0.3%
62.357 1
0.3%
66.926 1
0.3%
68.22 1
0.3%
68.429 1
0.3%
68.43 1
0.3%
68.45 1
0.3%
68.957 1
0.3%
69.12 1
0.3%
69.202 1
0.3%
ValueCountFrequency (%)
105.666 1
0.3%
98.474 1
0.3%
94.078 1
0.3%
93.737 1
0.3%
91.759 1
0.3%
90.923 1
0.3%
90.916 1
0.3%
90.507 1
0.3%
89.584 1
0.3%
89.541 1
0.3%

2015-05
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean79.978863
Minimum62.328
Maximum105.744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:06.723496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.328
5-th percentile70.9548
Q176.20725
median79.9295
Q383.72875
95-th percentile88.04305
Maximum105.744
Range43.416
Interquartile range (IQR)7.5215

Descriptive statistics

Standard deviation5.6372473
Coefficient of variation (CV)0.070484214
Kurtosis1.377311
Mean79.978863
Median Absolute Deviation (MAD)3.7555
Skewness0.18182138
Sum23993.659
Variance31.778557
MonotonicityNot monotonic
2024-04-18T10:54:06.857780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.45 2
 
0.7%
76.872 2
 
0.7%
76.53 1
 
0.3%
82.675 1
 
0.3%
93.907 1
 
0.3%
78.977 1
 
0.3%
79.33 1
 
0.3%
79.144 1
 
0.3%
80.252 1
 
0.3%
83.503 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
62.328 1
0.3%
62.541 1
0.3%
67.156 1
0.3%
68.464 1
0.3%
68.504 1
0.3%
68.648 1
0.3%
68.656 1
0.3%
69.105 1
0.3%
69.29 1
0.3%
69.318 1
0.3%
ValueCountFrequency (%)
105.744 1
0.3%
98.619 1
0.3%
94.19 1
0.3%
93.907 1
0.3%
91.872 1
0.3%
91.051 1
0.3%
90.894 1
0.3%
90.758 1
0.3%
89.735 1
0.3%
89.666 1
0.3%

2015-06
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.141883
Minimum62.6
Maximum105.843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:06.959718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.6
5-th percentile71.1777
Q176.38925
median80.0895
Q383.91575
95-th percentile88.1544
Maximum105.843
Range43.243
Interquartile range (IQR)7.5265

Descriptive statistics

Standard deviation5.6251075
Coefficient of variation (CV)0.07018936
Kurtosis1.3685285
Mean80.141883
Median Absolute Deviation (MAD)3.7885
Skewness0.1839166
Sum24042.565
Variance31.641834
MonotonicityNot monotonic
2024-04-18T10:54:07.063766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.368 2
 
0.7%
80.027 2
 
0.7%
78.695 2
 
0.7%
85.386 2
 
0.7%
77.858 2
 
0.7%
82.858 1
 
0.3%
94.065 1
 
0.3%
79.079 1
 
0.3%
79.707 1
 
0.3%
79.395 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
62.6 1
0.3%
62.731 1
0.3%
67.414 1
0.3%
68.619 1
0.3%
68.733 1
0.3%
68.846 1
0.3%
68.853 1
0.3%
69.3 1
0.3%
69.371 1
0.3%
69.567 1
0.3%
ValueCountFrequency (%)
105.843 1
0.3%
98.771 1
0.3%
94.254 1
0.3%
94.065 1
0.3%
91.994 1
0.3%
91.194 1
0.3%
91.043 1
0.3%
90.892 1
0.3%
89.969 1
0.3%
89.818 1
0.3%

2015-07
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.305637
Minimum62.893
Maximum105.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:07.169430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.893
5-th percentile71.31125
Q176.6175
median80.268
Q384.0135
95-th percentile88.2879
Maximum105.96
Range43.067
Interquartile range (IQR)7.396

Descriptive statistics

Standard deviation5.6071338
Coefficient of variation (CV)0.069822419
Kurtosis1.3775162
Mean80.305637
Median Absolute Deviation (MAD)3.7445
Skewness0.18673622
Sum24091.691
Variance31.43995
MonotonicityNot monotonic
2024-04-18T10:54:07.268080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.004 2
 
0.7%
76.858 1
 
0.3%
87.365 1
 
0.3%
79.225 1
 
0.3%
79.98 1
 
0.3%
79.609 1
 
0.3%
80.541 1
 
0.3%
83.86 1
 
0.3%
83.016 1
 
0.3%
86.287 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
62.893 1
0.3%
62.949 1
0.3%
67.665 1
0.3%
68.814 1
0.3%
68.982 1
0.3%
69.054 1
0.3%
69.067 1
0.3%
69.452 1
0.3%
69.497 1
0.3%
69.648 1
0.3%
ValueCountFrequency (%)
105.96 1
0.3%
98.942 1
0.3%
94.355 1
0.3%
94.179 1
0.3%
92.159 1
0.3%
91.333 1
0.3%
91.127 1
0.3%
91.016 1
0.3%
90.123 1
0.3%
89.922 1
0.3%

2015-08
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.449387
Minimum63.109
Maximum106.065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:07.372580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.109
5-th percentile71.4662
Q176.7345
median80.4375
Q384.1335
95-th percentile88.3886
Maximum106.065
Range42.956
Interquartile range (IQR)7.399

Descriptive statistics

Standard deviation5.5897
Coefficient of variation (CV)0.069480953
Kurtosis1.3977866
Mean80.449387
Median Absolute Deviation (MAD)3.7165
Skewness0.19040475
Sum24134.816
Variance31.244747
MonotonicityNot monotonic
2024-04-18T10:54:07.479386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.203 2
 
0.7%
84.069 2
 
0.7%
79.282 2
 
0.7%
78.131 2
 
0.7%
75.727 2
 
0.7%
84.014 1
 
0.3%
81.508 1
 
0.3%
94.308 1
 
0.3%
79.354 1
 
0.3%
80.212 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
63.109 1
0.3%
63.13 1
0.3%
67.923 1
0.3%
68.978 1
0.3%
69.122 1
0.3%
69.233 1
0.3%
69.266 1
0.3%
69.528 1
0.3%
69.646 1
0.3%
69.745 1
0.3%
ValueCountFrequency (%)
106.065 1
0.3%
99.115 1
0.3%
94.489 1
0.3%
94.308 1
0.3%
92.27 1
0.3%
91.468 1
0.3%
91.241 1
0.3%
91.157 1
0.3%
90.195 1
0.3%
90.028 1
0.3%

2015-09
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.598643
Minimum63.236
Maximum106.231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:07.582537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.236
5-th percentile71.6043
Q176.845
median80.623
Q384.32175
95-th percentile88.50435
Maximum106.231
Range42.995
Interquartile range (IQR)7.47675

Descriptive statistics

Standard deviation5.5756278
Coefficient of variation (CV)0.069177688
Kurtosis1.4280111
Mean80.598643
Median Absolute Deviation (MAD)3.7375
Skewness0.19414939
Sum24179.593
Variance31.087625
MonotonicityNot monotonic
2024-04-18T10:54:07.684777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.563 2
 
0.7%
77.151 1
 
0.3%
87.498 1
 
0.3%
79.599 1
 
0.3%
80.39 1
 
0.3%
80.003 1
 
0.3%
80.818 1
 
0.3%
84.179 1
 
0.3%
83.324 1
 
0.3%
86.354 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
63.236 1
0.3%
63.363 1
0.3%
68.192 1
0.3%
69.192 1
0.3%
69.271 1
0.3%
69.394 1
0.3%
69.45 1
0.3%
69.597 1
0.3%
69.834 1
0.3%
69.85 1
0.3%
ValueCountFrequency (%)
106.231 1
0.3%
99.294 1
0.3%
94.671 1
0.3%
94.454 1
0.3%
92.385 1
0.3%
91.636 1
0.3%
91.287 1
0.3%
91.201 1
0.3%
90.343 1
0.3%
90.178 1
0.3%

2015-10
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.772077
Minimum63.364
Maximum106.397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:07.797101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.364
5-th percentile71.7973
Q177.03925
median80.8045
Q384.479
95-th percentile88.6819
Maximum106.397
Range43.033
Interquartile range (IQR)7.43975

Descriptive statistics

Standard deviation5.5665438
Coefficient of variation (CV)0.068916686
Kurtosis1.448499
Mean80.772077
Median Absolute Deviation (MAD)3.724
Skewness0.19691347
Sum24231.623
Variance30.98641
MonotonicityNot monotonic
2024-04-18T10:54:07.901577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.961 3
 
1.0%
80.766 2
 
0.7%
77.294 2
 
0.7%
77.323 1
 
0.3%
86.5 1
 
0.3%
79.853 1
 
0.3%
80.709 1
 
0.3%
80.292 1
 
0.3%
80.982 1
 
0.3%
84.385 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
63.364 1
0.3%
63.611 1
0.3%
68.449 1
0.3%
69.382 1
0.3%
69.399 1
0.3%
69.57 1
0.3%
69.638 1
0.3%
69.718 1
0.3%
69.962 1
0.3%
70.06 1
0.3%
ValueCountFrequency (%)
106.397 1
0.3%
99.463 1
0.3%
94.852 1
0.3%
94.63 1
0.3%
92.63 1
0.3%
91.865 1
0.3%
91.458 1
0.3%
91.403 1
0.3%
90.577 1
0.3%
90.405 1
0.3%

2015-11
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean80.96436
Minimum63.576
Maximum106.591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:08.006895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.576
5-th percentile71.9671
Q177.3205
median81.1585
Q384.6255
95-th percentile88.83925
Maximum106.591
Range43.015
Interquartile range (IQR)7.305

Descriptive statistics

Standard deviation5.5549395
Coefficient of variation (CV)0.068609689
Kurtosis1.4499784
Mean80.96436
Median Absolute Deviation (MAD)3.663
Skewness0.19838302
Sum24289.308
Variance30.857353
MonotonicityNot monotonic
2024-04-18T10:54:08.112914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.538 2
 
0.7%
74.392 2
 
0.7%
79.405 2
 
0.7%
77.51 1
 
0.3%
83.705 1
 
0.3%
94.768 1
 
0.3%
80.174 1
 
0.3%
80.928 1
 
0.3%
80.557 1
 
0.3%
81.183 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
63.576 1
0.3%
64.121 1
0.3%
68.735 1
0.3%
69.528 1
0.3%
69.556 1
0.3%
69.761 1
0.3%
69.842 1
0.3%
69.855 1
0.3%
70.074 1
0.3%
70.291 1
0.3%
ValueCountFrequency (%)
106.591 1
0.3%
99.645 1
0.3%
95.009 1
0.3%
94.768 1
0.3%
92.813 1
0.3%
92.062 1
0.3%
91.649 1
0.3%
91.53 1
0.3%
90.767 1
0.3%
90.631 1
0.3%

2015-12
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.167093
Minimum64.02
Maximum106.754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:08.215197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.02
5-th percentile72.2248
Q177.5395
median81.3315
Q384.81725
95-th percentile89.045
Maximum106.754
Range42.734
Interquartile range (IQR)7.27775

Descriptive statistics

Standard deviation5.5501747
Coefficient of variation (CV)0.068379617
Kurtosis1.419932
Mean81.167093
Median Absolute Deviation (MAD)3.6615
Skewness0.19882344
Sum24350.128
Variance30.80444
MonotonicityNot monotonic
2024-04-18T10:54:08.327177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.241 2
 
0.7%
76.279 2
 
0.7%
77.705 1
 
0.3%
83.926 1
 
0.3%
94.917 1
 
0.3%
80.516 1
 
0.3%
81.221 1
 
0.3%
80.873 1
 
0.3%
81.396 1
 
0.3%
84.789 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
64.02 1
0.3%
64.498 1
0.3%
69.036 1
0.3%
69.635 1
0.3%
69.818 1
0.3%
69.945 1
0.3%
69.949 1
0.3%
70.076 1
0.3%
70.186 1
0.3%
70.58 1
0.3%
ValueCountFrequency (%)
106.754 1
0.3%
99.836 1
0.3%
95.294 1
0.3%
94.917 1
0.3%
92.984 1
0.3%
92.276 1
0.3%
91.824 1
0.3%
91.743 1
0.3%
90.944 1
0.3%
90.848 1
0.3%

2016-01
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.310263
Minimum64.33
Maximum106.758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:08.438516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.33
5-th percentile72.4097
Q177.62425
median81.4665
Q384.95025
95-th percentile89.22725
Maximum106.758
Range42.428
Interquartile range (IQR)7.326

Descriptive statistics

Standard deviation5.5500254
Coefficient of variation (CV)0.068257378
Kurtosis1.3699201
Mean81.310263
Median Absolute Deviation (MAD)3.65
Skewness0.19799885
Sum24393.079
Variance30.802782
MonotonicityNot monotonic
2024-04-18T10:54:08.549564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.497 2
 
0.7%
84.467 2
 
0.7%
77.203 2
 
0.7%
84.081 2
 
0.7%
91.712 1
 
0.3%
89.536 1
 
0.3%
87.797 1
 
0.3%
87.984 1
 
0.3%
86.775 1
 
0.3%
84.302 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
64.33 1
0.3%
64.709 1
0.3%
69.288 1
0.3%
69.733 1
0.3%
69.982 1
0.3%
70.046 1
0.3%
70.121 1
0.3%
70.251 1
0.3%
70.294 1
0.3%
70.735 1
0.3%
ValueCountFrequency (%)
106.758 1
0.3%
99.988 1
0.3%
95.469 1
0.3%
95.046 1
0.3%
93.147 1
0.3%
92.478 1
0.3%
92.005 1
0.3%
91.712 1
0.3%
91.152 1
0.3%
91.069 1
0.3%

2016-02
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.45115
Minimum64.728
Maximum106.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:08.655828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.728
5-th percentile72.5276
Q177.73175
median81.635
Q385.1495
95-th percentile89.34015
Maximum106.79
Range42.062
Interquartile range (IQR)7.41775

Descriptive statistics

Standard deviation5.5481455
Coefficient of variation (CV)0.068116232
Kurtosis1.3297384
Mean81.45115
Median Absolute Deviation (MAD)3.744
Skewness0.20152596
Sum24435.345
Variance30.781918
MonotonicityNot monotonic
2024-04-18T10:54:08.761741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.212 2
 
0.7%
85.379 2
 
0.7%
83.617 2
 
0.7%
86.567 2
 
0.7%
89.738 1
 
0.3%
88.542 1
 
0.3%
86.697 1
 
0.3%
88.108 1
 
0.3%
91.872 1
 
0.3%
89.704 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
64.728 1
0.3%
64.875 1
0.3%
69.546 1
0.3%
69.844 1
0.3%
70.12 1
0.3%
70.184 1
0.3%
70.274 1
0.3%
70.398 1
0.3%
70.408 1
0.3%
70.87 1
0.3%
ValueCountFrequency (%)
106.79 1
0.3%
100.105 1
0.3%
95.635 1
0.3%
95.194 1
0.3%
93.324 1
0.3%
92.67 1
0.3%
92.159 1
0.3%
91.872 1
0.3%
91.338 1
0.3%
91.272 1
0.3%

2016-03
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.631243
Minimum65.073
Maximum106.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:08.864664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.073
5-th percentile72.7046
Q177.8595
median81.785
Q385.3925
95-th percentile89.5338
Maximum106.91
Range41.837
Interquartile range (IQR)7.533

Descriptive statistics

Standard deviation5.5492031
Coefficient of variation (CV)0.067978912
Kurtosis1.2769759
Mean81.631243
Median Absolute Deviation (MAD)3.797
Skewness0.20117587
Sum24489.373
Variance30.793655
MonotonicityNot monotonic
2024-04-18T10:54:08.965132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.238 2
 
0.7%
87.544 2
 
0.7%
86.268 2
 
0.7%
82.091 2
 
0.7%
78.139 1
 
0.3%
95.35 1
 
0.3%
81.065 1
 
0.3%
81.696 1
 
0.3%
81.381 1
 
0.3%
81.875 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
65.073 1
0.3%
65.14 1
0.3%
69.844 1
0.3%
69.975 1
0.3%
70.228 1
0.3%
70.375 1
0.3%
70.491 1
0.3%
70.537 1
0.3%
70.615 1
0.3%
71.032 1
0.3%
ValueCountFrequency (%)
106.91 1
0.3%
100.082 1
0.3%
95.783 1
0.3%
95.35 1
0.3%
93.506 1
0.3%
92.851 1
0.3%
92.341 1
0.3%
92.108 1
0.3%
91.489 1
0.3%
91.371 1
0.3%

2016-04
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.794497
Minimum65.295
Maximum106.668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:09.067715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.295
5-th percentile72.9559
Q178.0375
median81.9435
Q385.53475
95-th percentile89.66085
Maximum106.668
Range41.373
Interquartile range (IQR)7.49725

Descriptive statistics

Standard deviation5.5329337
Coefficient of variation (CV)0.067644328
Kurtosis1.1736409
Mean81.794497
Median Absolute Deviation (MAD)3.7885
Skewness0.19174573
Sum24538.349
Variance30.613356
MonotonicityNot monotonic
2024-04-18T10:54:09.169825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.447 2
 
0.7%
87.078 2
 
0.7%
84.519 2
 
0.7%
86.89 2
 
0.7%
86.111 2
 
0.7%
78.307 1
 
0.3%
87.149 1
 
0.3%
81.238 1
 
0.3%
81.859 1
 
0.3%
81.549 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
65.295 1
0.3%
65.585 1
0.3%
70.104 1
0.3%
70.12 1
0.3%
70.367 1
0.3%
70.578 1
0.3%
70.671 1
0.3%
70.717 1
0.3%
70.833 1
0.3%
71.252 1
0.3%
ValueCountFrequency (%)
106.668 1
0.3%
99.941 1
0.3%
95.922 1
0.3%
95.474 1
0.3%
93.682 1
0.3%
93.048 1
0.3%
92.44 1
0.3%
92.157 1
0.3%
91.695 1
0.3%
91.562 1
0.3%

2016-05
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean81.955377
Minimum65.537
Maximum106.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:09.284679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.537
5-th percentile73.20295
Q178.241
median82.1265
Q385.7145
95-th percentile89.81375
Maximum106.581
Range41.044
Interquartile range (IQR)7.4735

Descriptive statistics

Standard deviation5.5129099
Coefficient of variation (CV)0.067267215
Kurtosis1.1042714
Mean81.955377
Median Absolute Deviation (MAD)3.7545
Skewness0.19084706
Sum24586.613
Variance30.392176
MonotonicityNot monotonic
2024-04-18T10:54:09.387532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.815 2
 
0.7%
87.576 2
 
0.7%
79.874 2
 
0.7%
87.299 1
 
0.3%
81.398 1
 
0.3%
82.005 1
 
0.3%
81.702 1
 
0.3%
82.175 1
 
0.3%
85.489 1
 
0.3%
84.646 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
65.537 1
0.3%
66.068 1
0.3%
70.3 1
0.3%
70.352 1
0.3%
70.546 1
0.3%
70.798 1
0.3%
70.811 1
0.3%
70.932 1
0.3%
71.082 1
0.3%
71.474 1
0.3%
ValueCountFrequency (%)
106.581 1
0.3%
99.773 1
0.3%
96.05 1
0.3%
95.617 1
0.3%
93.772 1
0.3%
93.213 1
0.3%
92.477 1
0.3%
92.327 1
0.3%
91.87 1
0.3%
91.738 1
0.3%

2016-06
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean82.133693
Minimum65.852
Maximum106.457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:09.509101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.852
5-th percentile73.35565
Q178.43225
median82.3
Q385.8965
95-th percentile89.98565
Maximum106.457
Range40.605
Interquartile range (IQR)7.46425

Descriptive statistics

Standard deviation5.4859304
Coefficient of variation (CV)0.066792691
Kurtosis1.0409564
Mean82.133693
Median Absolute Deviation (MAD)3.7635
Skewness0.18557424
Sum24640.108
Variance30.095432
MonotonicityNot monotonic
2024-04-18T10:54:09.641866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.231 2
 
0.7%
87.999 2
 
0.7%
78.673 1
 
0.3%
88.613 1
 
0.3%
82.272 1
 
0.3%
81.925 1
 
0.3%
82.309 1
 
0.3%
85.644 1
 
0.3%
84.795 1
 
0.3%
87.433 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
65.852 1
0.3%
66.482 1
0.3%
70.484 1
0.3%
70.584 1
0.3%
70.788 1
0.3%
70.96 1
0.3%
71.087 1
0.3%
71.152 1
0.3%
71.348 1
0.3%
71.71 1
0.3%
ValueCountFrequency (%)
106.457 1
0.3%
99.644 1
0.3%
96.185 1
0.3%
95.729 1
0.3%
93.909 1
0.3%
93.398 1
0.3%
92.498 1
0.3%
92.363 1
0.3%
92.082 1
0.3%
91.936 1
0.3%

2016-07
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean82.304103
Minimum66.235
Maximum106.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:10.496104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.235
5-th percentile73.66155
Q178.61175
median82.463
Q386.04525
95-th percentile90.15565
Maximum106.42
Range40.185
Interquartile range (IQR)7.4335

Descriptive statistics

Standard deviation5.4550702
Coefficient of variation (CV)0.066279444
Kurtosis1.0006871
Mean82.304103
Median Absolute Deviation (MAD)3.745
Skewness0.18711136
Sum24691.231
Variance29.757791
MonotonicityNot monotonic
2024-04-18T10:54:10.612111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.339 2
 
0.7%
88.924 2
 
0.7%
87.398 2
 
0.7%
78.864 1
 
0.3%
88.733 1
 
0.3%
82.47 1
 
0.3%
82.098 1
 
0.3%
82.427 1
 
0.3%
85.764 1
 
0.3%
84.915 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
66.235 1
0.3%
66.881 1
0.3%
70.67 1
0.3%
70.814 1
0.3%
71.042 1
0.3%
71.112 1
0.3%
71.358 1
0.3%
71.377 1
0.3%
71.621 1
0.3%
71.967 1
0.3%
ValueCountFrequency (%)
106.42 1
0.3%
99.55 1
0.3%
96.27 1
0.3%
95.831 1
0.3%
94.02 1
0.3%
93.549 1
0.3%
92.542 1
0.3%
92.394 1
0.3%
92.236 1
0.3%
92.159 1
0.3%

2016-08
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean82.478027
Minimum66.522
Maximum106.423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:10.725124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.522
5-th percentile73.9578
Q178.79425
median82.6275
Q386.1895
95-th percentile90.3271
Maximum106.423
Range39.901
Interquartile range (IQR)7.39525

Descriptive statistics

Standard deviation5.4303714
Coefficient of variation (CV)0.06584022
Kurtosis0.96925754
Mean82.478027
Median Absolute Deviation (MAD)3.7225
Skewness0.18586981
Sum24743.408
Variance29.488934
MonotonicityNot monotonic
2024-04-18T10:54:10.834933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.729 2
 
0.7%
87.559 2
 
0.7%
87.58 2
 
0.7%
79.049 1
 
0.3%
88.63 1
 
0.3%
82.285 1
 
0.3%
82.567 1
 
0.3%
85.9 1
 
0.3%
85.052 1
 
0.3%
87.713 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
66.522 1
0.3%
67.208 1
0.3%
70.879 1
0.3%
71.038 1
0.3%
71.268 1
0.3%
71.281 1
0.3%
71.58 1
0.3%
71.637 1
0.3%
71.84 1
0.3%
72.216 1
0.3%
ValueCountFrequency (%)
106.423 1
0.3%
99.473 1
0.3%
96.367 1
0.3%
95.939 1
0.3%
94.143 1
0.3%
93.714 1
0.3%
92.558 1
0.3%
92.415 1
0.3%
92.414 1
0.3%
92.387 1
0.3%

2016-09
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean82.652057
Minimum66.762
Maximum106.396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:10.950677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.762
5-th percentile74.35275
Q178.95
median82.8035
Q386.37075
95-th percentile90.4947
Maximum106.396
Range39.634
Interquartile range (IQR)7.42075

Descriptive statistics

Standard deviation5.402258
Coefficient of variation (CV)0.065361447
Kurtosis0.93658696
Mean82.652057
Median Absolute Deviation (MAD)3.7035
Skewness0.18771965
Sum24795.617
Variance29.184391
MonotonicityNot monotonic
2024-04-18T10:54:11.066147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.116 2
 
0.7%
79.236 1
 
0.3%
88.968 1
 
0.3%
82.048 1
 
0.3%
82.993 1
 
0.3%
82.535 1
 
0.3%
82.756 1
 
0.3%
86.068 1
 
0.3%
85.225 1
 
0.3%
87.787 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
66.762 1
0.3%
67.699 1
0.3%
71.096 1
0.3%
71.256 1
0.3%
71.49 1
0.3%
71.503 1
0.3%
71.774 1
0.3%
71.946 1
0.3%
72.069 1
0.3%
72.449 1
0.3%
ValueCountFrequency (%)
106.396 1
0.3%
99.418 1
0.3%
96.502 1
0.3%
95.99 1
0.3%
94.287 1
0.3%
93.889 1
0.3%
92.651 1
0.3%
92.629 1
0.3%
92.612 1
0.3%
92.578 1
0.3%

2016-10
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean82.838067
Minimum67.042
Maximum106.408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:11.182467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.042
5-th percentile74.5917
Q179.15625
median82.9815
Q386.5375
95-th percentile90.6336
Maximum106.408
Range39.366
Interquartile range (IQR)7.38125

Descriptive statistics

Standard deviation5.3745798
Coefficient of variation (CV)0.064880556
Kurtosis0.91561286
Mean82.838067
Median Absolute Deviation (MAD)3.7015
Skewness0.19091754
Sum24851.42
Variance28.886108
MonotonicityNot monotonic
2024-04-18T10:54:11.293848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.687 2
 
0.7%
89.425 2
 
0.7%
74.923 2
 
0.7%
79.436 1
 
0.3%
87.997 1
 
0.3%
96.034 1
 
0.3%
82.267 1
 
0.3%
83.203 1
 
0.3%
82.749 1
 
0.3%
82.926 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
67.042 1
0.3%
68.066 1
0.3%
71.301 1
0.3%
71.49 1
0.3%
71.705 1
0.3%
71.741 1
0.3%
71.96 1
0.3%
72.288 1
0.3%
72.31 1
0.3%
72.697 1
0.3%
ValueCountFrequency (%)
106.408 1
0.3%
99.367 1
0.3%
96.707 1
0.3%
96.034 1
0.3%
94.485 1
0.3%
94.113 1
0.3%
92.915 1
0.3%
92.784 1
0.3%
92.761 1
0.3%
92.63 1
0.3%

2016-11
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean83.02872
Minimum67.251
Maximum106.277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:11.414650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.251
5-th percentile74.7435
Q179.2985
median83.1935
Q386.73525
95-th percentile90.8154
Maximum106.277
Range39.026
Interquartile range (IQR)7.43675

Descriptive statistics

Standard deviation5.3529964
Coefficient of variation (CV)0.064471623
Kurtosis0.86382688
Mean83.02872
Median Absolute Deviation (MAD)3.6835
Skewness0.18421388
Sum24908.616
Variance28.65457
MonotonicityNot monotonic
2024-04-18T10:54:11.525323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.473 2
 
0.7%
89.8 2
 
0.7%
85.136 2
 
0.7%
82.65 2
 
0.7%
85.563 1
 
0.3%
82.483 1
 
0.3%
83.39 1
 
0.3%
82.949 1
 
0.3%
83.119 1
 
0.3%
86.398 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
67.251 1
0.3%
68.433 1
0.3%
71.492 1
0.3%
71.784 1
0.3%
71.905 1
0.3%
71.952 1
0.3%
72.088 1
0.3%
72.533 1
0.3%
72.664 1
0.3%
72.938 1
0.3%
ValueCountFrequency (%)
106.277 1
0.3%
99.357 1
0.3%
96.895 1
0.3%
96.056 1
0.3%
94.664 1
0.3%
94.335 1
0.3%
93.219 1
0.3%
92.987 1
0.3%
92.976 1
0.3%
92.814 1
0.3%

2016-12
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean83.20074
Minimum67.577
Maximum106.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:11.648369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.577
5-th percentile74.9027
Q179.43925
median83.354
Q386.867
95-th percentile91.0043
Maximum106.32
Range38.743
Interquartile range (IQR)7.42775

Descriptive statistics

Standard deviation5.3374211
Coefficient of variation (CV)0.064151125
Kurtosis0.83382026
Mean83.20074
Median Absolute Deviation (MAD)3.673
Skewness0.18592396
Sum24960.222
Variance28.488063
MonotonicityNot monotonic
2024-04-18T10:54:11.762081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.177 2
 
0.7%
79.802 1
 
0.3%
89.387 1
 
0.3%
82.641 1
 
0.3%
83.621 1
 
0.3%
83.145 1
 
0.3%
83.299 1
 
0.3%
86.561 1
 
0.3%
85.731 1
 
0.3%
88.225 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
67.577 1
0.3%
68.767 1
0.3%
71.666 1
0.3%
72.077 1
0.3%
72.082 1
0.3%
72.136 1
0.3%
72.16 1
0.3%
72.754 1
0.3%
72.997 1
0.3%
73.175 1
0.3%
ValueCountFrequency (%)
106.32 1
0.3%
99.356 1
0.3%
97.038 1
0.3%
96.11 1
0.3%
94.852 1
0.3%
94.512 1
0.3%
93.413 1
0.3%
93.15 1
0.3%
93.149 1
0.3%
92.984 1
0.3%

2017-01
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean83.34889
Minimum67.816
Maximum106.188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:11.876959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.816
5-th percentile75.0513
Q179.5465
median83.5125
Q387.033
95-th percentile91.10855
Maximum106.188
Range38.372
Interquartile range (IQR)7.4865

Descriptive statistics

Standard deviation5.3254684
Coefficient of variation (CV)0.063893694
Kurtosis0.76841044
Mean83.34889
Median Absolute Deviation (MAD)3.683
Skewness0.17889955
Sum25004.667
Variance28.360614
MonotonicityNot monotonic
2024-04-18T10:54:11.999919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.565 2
 
0.7%
83.804 2
 
0.7%
79.948 1
 
0.3%
88.456 1
 
0.3%
96.099 1
 
0.3%
82.839 1
 
0.3%
83.335 1
 
0.3%
83.474 1
 
0.3%
86.681 1
 
0.3%
85.865 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
67.816 1
0.3%
69.16 1
0.3%
71.783 1
0.3%
72.251 1
0.3%
72.255 1
0.3%
72.274 1
0.3%
72.298 1
0.3%
72.95 1
0.3%
73.216 1
0.3%
73.342 1
0.3%
ValueCountFrequency (%)
106.188 1
0.3%
99.278 1
0.3%
97.15 1
0.3%
96.099 1
0.3%
95.011 1
0.3%
94.662 1
0.3%
93.584 1
0.3%
93.298 1
0.3%
93.274 1
0.3%
93.134 1
0.3%

2017-02
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean83.52826
Minimum68.063
Maximum105.988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:12.114438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.063
5-th percentile75.1904
Q179.70875
median83.693
Q387.26775
95-th percentile91.2022
Maximum105.988
Range37.925
Interquartile range (IQR)7.559

Descriptive statistics

Standard deviation5.3027031
Coefficient of variation (CV)0.063483941
Kurtosis0.7016307
Mean83.52826
Median Absolute Deviation (MAD)3.6875
Skewness0.16984021
Sum25058.478
Variance28.118661
MonotonicityNot monotonic
2024-04-18T10:54:12.228448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.935 2
 
0.7%
80.133 1
 
0.3%
89.593 1
 
0.3%
83.073 1
 
0.3%
84.0 1
 
0.3%
83.55 1
 
0.3%
83.686 1
 
0.3%
86.826 1
 
0.3%
86.027 1
 
0.3%
88.663 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
68.063 1
0.3%
69.61 1
0.3%
71.951 1
0.3%
72.442 1
0.3%
72.461 1
0.3%
72.469 1
0.3%
72.535 1
0.3%
73.191 1
0.3%
73.573 1
0.3%
73.634 1
0.3%
ValueCountFrequency (%)
105.988 1
0.3%
99.197 1
0.3%
97.244 1
0.3%
96.098 1
0.3%
95.299 1
0.3%
94.856 1
0.3%
93.754 1
0.3%
93.502 1
0.3%
93.385 1
0.3%
93.326 1
0.3%

2017-03
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean83.780843
Minimum68.409
Maximum105.519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:12.335834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.409
5-th percentile75.4609
Q179.9715
median83.966
Q387.537
95-th percentile91.37305
Maximum105.519
Range37.11
Interquartile range (IQR)7.5655

Descriptive statistics

Standard deviation5.2735524
Coefficient of variation (CV)0.062944609
Kurtosis0.58151901
Mean83.780843
Median Absolute Deviation (MAD)3.7245
Skewness0.1469116
Sum25134.253
Variance27.810355
MonotonicityNot monotonic
2024-04-18T10:54:12.470642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.112 2
 
0.7%
79.419 2
 
0.7%
91.291 2
 
0.7%
88.786 2
 
0.7%
86.074 2
 
0.7%
87.537 2
 
0.7%
78.015 2
 
0.7%
83.878 1
 
0.3%
84.006 1
 
0.3%
87.046 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
68.409 1
0.3%
70.103 1
0.3%
72.238 1
0.3%
72.673 1
0.3%
72.692 1
0.3%
72.735 1
0.3%
72.788 1
0.3%
73.425 1
0.3%
73.926 1
0.3%
74.049 1
0.3%
ValueCountFrequency (%)
105.519 1
0.3%
99.165 1
0.3%
97.311 1
0.3%
96.048 1
0.3%
95.685 1
0.3%
95.109 1
0.3%
94.037 1
0.3%
93.801 1
0.3%
93.651 1
0.3%
93.523 1
0.3%

2017-04
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean84.024407
Minimum68.701
Maximum105.485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:12.602276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.701
5-th percentile75.6995
Q180.24075
median84.228
Q387.75125
95-th percentile91.7573
Maximum105.485
Range36.784
Interquartile range (IQR)7.5105

Descriptive statistics

Standard deviation5.2455853
Coefficient of variation (CV)0.062429305
Kurtosis0.54756649
Mean84.024407
Median Absolute Deviation (MAD)3.723
Skewness0.14057209
Sum25207.322
Variance27.516165
MonotonicityNot monotonic
2024-04-18T10:54:12.719173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.998 2
 
0.7%
91.801 2
 
0.7%
80.49 2
 
0.7%
87.21 2
 
0.7%
84.313 1
 
0.3%
85.857 1
 
0.3%
84.599 1
 
0.3%
96.058 1
 
0.3%
83.894 1
 
0.3%
84.615 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
68.701 1
0.3%
70.533 1
0.3%
72.512 1
0.3%
72.916 1
0.3%
72.947 1
0.3%
73.045 1
0.3%
73.051 1
0.3%
73.687 1
0.3%
74.289 1
0.3%
74.385 1
0.3%
ValueCountFrequency (%)
105.485 1
0.3%
99.111 1
0.3%
97.518 1
0.3%
96.058 1
0.3%
95.982 1
0.3%
95.359 1
0.3%
94.309 1
0.3%
94.074 1
0.3%
93.833 1
0.3%
93.546 1
0.3%

2017-05
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean84.29753
Minimum69.185
Maximum105.477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:12.837190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.185
5-th percentile76.08505
Q180.60125
median84.4735
Q388.0255
95-th percentile91.94455
Maximum105.477
Range36.292
Interquartile range (IQR)7.42425

Descriptive statistics

Standard deviation5.187817
Coefficient of variation (CV)0.061541744
Kurtosis0.53241999
Mean84.29753
Median Absolute Deviation (MAD)3.6915
Skewness0.14808496
Sum25289.259
Variance26.913445
MonotonicityNot monotonic
2024-04-18T10:54:12.948724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.126 2
 
0.7%
85.101 2
 
0.7%
86.395 2
 
0.7%
80.955 1
 
0.3%
86.793 1
 
0.3%
96.266 1
 
0.3%
84.196 1
 
0.3%
84.867 1
 
0.3%
84.537 1
 
0.3%
84.606 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
69.185 1
0.3%
71.146 1
0.3%
72.969 1
0.3%
73.181 1
0.3%
73.218 1
0.3%
73.295 1
0.3%
73.516 1
0.3%
74.14 1
0.3%
74.793 1
0.3%
74.795 1
0.3%
ValueCountFrequency (%)
105.477 1
0.3%
99.12 1
0.3%
97.624 1
0.3%
96.266 1
0.3%
96.241 1
0.3%
95.568 1
0.3%
94.518 1
0.3%
94.393 1
0.3%
94.072 1
0.3%
93.69 1
0.3%

2017-06
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean84.587297
Minimum69.607
Maximum105.252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:13.061999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.607
5-th percentile76.43365
Q180.8435
median84.7405
Q388.257
95-th percentile92.21165
Maximum105.252
Range35.645
Interquartile range (IQR)7.4135

Descriptive statistics

Standard deviation5.1389914
Coefficient of variation (CV)0.060753701
Kurtosis0.48496293
Mean84.587297
Median Absolute Deviation (MAD)3.675
Skewness0.15121451
Sum25376.189
Variance26.409232
MonotonicityNot monotonic
2024-04-18T10:54:13.173362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.927 2
 
0.7%
92.566 2
 
0.7%
79.764 2
 
0.7%
80.241 2
 
0.7%
81.272 1
 
0.3%
96.453 1
 
0.3%
84.564 1
 
0.3%
85.22 1
 
0.3%
84.897 1
 
0.3%
84.894 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
69.607 1
0.3%
71.788 1
0.3%
73.426 1
0.3%
73.451 1
0.3%
73.541 1
0.3%
73.621 1
0.3%
74.124 1
0.3%
74.534 1
0.3%
75.02 1
0.3%
75.153 1
0.3%
ValueCountFrequency (%)
105.252 1
0.3%
99.192 1
0.3%
97.903 1
0.3%
96.518 1
0.3%
96.453 1
0.3%
95.834 1
0.3%
94.761 1
0.3%
94.703 1
0.3%
94.307 1
0.3%
93.953 1
0.3%

2017-07
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean84.878067
Minimum70.177
Maximum105.174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:13.288033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.177
5-th percentile76.8202
Q181.19575
median85.009
Q388.51975
95-th percentile92.54165
Maximum105.174
Range34.997
Interquartile range (IQR)7.324

Descriptive statistics

Standard deviation5.0902859
Coefficient of variation (CV)0.059971746
Kurtosis0.44893873
Mean84.878067
Median Absolute Deviation (MAD)3.6945
Skewness0.15544518
Sum25463.42
Variance25.91101
MonotonicityNot monotonic
2024-04-18T10:54:13.398971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.834 2
 
0.7%
92.972 2
 
0.7%
86.82 2
 
0.7%
89.731 1
 
0.3%
84.865 1
 
0.3%
85.446 1
 
0.3%
85.158 1
 
0.3%
85.207 1
 
0.3%
88.086 1
 
0.3%
87.353 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
70.177 1
0.3%
72.413 1
0.3%
73.686 1
0.3%
73.805 1
0.3%
73.942 1
0.3%
74.005 1
0.3%
74.601 1
0.3%
74.915 1
0.3%
75.214 1
0.3%
75.457 1
0.3%
ValueCountFrequency (%)
105.174 1
0.3%
99.217 1
0.3%
98.157 1
0.3%
96.814 1
0.3%
96.57 1
0.3%
96.083 1
0.3%
94.991 1
0.3%
94.967 1
0.3%
94.518 1
0.3%
94.054 1
0.3%

2017-08
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean85.151157
Minimum70.645
Maximum105.207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:13.511750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.645
5-th percentile77.07195
Q181.44825
median85.291
Q388.79625
95-th percentile92.9514
Maximum105.207
Range34.562
Interquartile range (IQR)7.348

Descriptive statistics

Standard deviation5.0595454
Coefficient of variation (CV)0.059418399
Kurtosis0.42186665
Mean85.151157
Median Absolute Deviation (MAD)3.649
Skewness0.15801431
Sum25545.347
Variance25.598999
MonotonicityNot monotonic
2024-04-18T10:54:13.621565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.92 2
 
0.7%
93.428 2
 
0.7%
87.096 2
 
0.7%
80.811 2
 
0.7%
85.885 2
 
0.7%
90.714 1
 
0.3%
87.604 1
 
0.3%
85.143 1
 
0.3%
85.656 1
 
0.3%
85.4 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
70.645 1
0.3%
72.978 1
0.3%
73.931 1
0.3%
74.054 1
0.3%
74.273 1
0.3%
74.404 1
0.3%
74.932 1
0.3%
75.258 1
0.3%
75.477 1
0.3%
75.697 1
0.3%
ValueCountFrequency (%)
105.207 1
0.3%
99.219 1
0.3%
98.404 1
0.3%
97.04 1
0.3%
96.715 1
0.3%
96.329 1
0.3%
95.264 1
0.3%
95.207 1
0.3%
94.745 1
0.3%
94.213 1
0.3%

2017-09
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean85.412537
Minimum71.119
Maximum104.849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:13.735052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.119
5-th percentile77.3031
Q181.66675
median85.5755
Q389.03825
95-th percentile93.3185
Maximum104.849
Range33.73
Interquartile range (IQR)7.3715

Descriptive statistics

Standard deviation5.0338484
Coefficient of variation (CV)0.058935709
Kurtosis0.33778334
Mean85.412537
Median Absolute Deviation (MAD)3.6245
Skewness0.14641917
Sum25623.761
Variance25.339629
MonotonicityNot monotonic
2024-04-18T10:54:13.856666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.686 2
 
0.7%
93.837 2
 
0.7%
82.135 1
 
0.3%
96.96 1
 
0.3%
85.457 1
 
0.3%
85.918 1
 
0.3%
85.805 1
 
0.3%
88.595 1
 
0.3%
87.884 1
 
0.3%
90.155 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
71.119 1
0.3%
73.485 1
0.3%
74.187 1
0.3%
74.329 1
0.3%
74.52 1
0.3%
74.913 1
0.3%
75.203 1
0.3%
75.493 1
0.3%
75.725 1
0.3%
75.938 1
0.3%
ValueCountFrequency (%)
104.849 1
0.3%
99.318 1
0.3%
98.568 1
0.3%
97.168 1
0.3%
96.96 1
0.3%
96.556 1
0.3%
95.638 1
0.3%
95.447 1
0.3%
94.956 1
0.3%
94.601 1
0.3%

2017-10
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean85.643233
Minimum71.426
Maximum104.591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:13.971551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.426
5-th percentile77.59345
Q181.897
median85.792
Q389.2155
95-th percentile93.4685
Maximum104.591
Range33.165
Interquartile range (IQR)7.3185

Descriptive statistics

Standard deviation5.011964
Coefficient of variation (CV)0.058521424
Kurtosis0.28087605
Mean85.643233
Median Absolute Deviation (MAD)3.634
Skewness0.13539486
Sum25692.97
Variance25.119783
MonotonicityNot monotonic
2024-04-18T10:54:14.094054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.052 2
 
0.7%
94.22 2
 
0.7%
86.954 2
 
0.7%
91.009 1
 
0.3%
85.689 1
 
0.3%
86.171 1
 
0.3%
85.929 1
 
0.3%
86.08 1
 
0.3%
88.814 1
 
0.3%
88.118 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
71.426 1
0.3%
73.983 1
0.3%
74.438 1
0.3%
74.587 1
0.3%
74.794 1
0.3%
75.222 1
0.3%
75.382 1
0.3%
75.723 1
0.3%
75.879 1
0.3%
76.17 1
0.3%
ValueCountFrequency (%)
104.591 1
0.3%
99.412 1
0.3%
98.752 1
0.3%
97.243 1
0.3%
97.065 1
0.3%
96.755 1
0.3%
95.918 1
0.3%
95.663 1
0.3%
95.162 1
0.3%
95.024 1
0.3%

2017-11
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean85.897763
Minimum71.85
Maximum104.514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:14.236036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.85
5-th percentile78.1354
Q182.22475
median86.007
Q389.43475
95-th percentile93.67155
Maximum104.514
Range32.664
Interquartile range (IQR)7.21

Descriptive statistics

Standard deviation4.985729
Coefficient of variation (CV)0.058042594
Kurtosis0.24156202
Mean85.897763
Median Absolute Deviation (MAD)3.633
Skewness0.13634391
Sum25769.329
Variance24.857494
MonotonicityNot monotonic
2024-04-18T10:54:14.344039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.634 2
 
0.7%
94.645 2
 
0.7%
87.94 2
 
0.7%
90.547 1
 
0.3%
86.001 1
 
0.3%
86.379 1
 
0.3%
86.186 1
 
0.3%
86.368 1
 
0.3%
89.043 1
 
0.3%
88.361 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
71.85 1
0.3%
74.512 1
0.3%
74.711 1
0.3%
75.049 1
0.3%
75.103 1
0.3%
75.604 1
0.3%
75.674 1
0.3%
76.047 1
0.3%
76.156 1
0.3%
76.476 1
0.3%
ValueCountFrequency (%)
104.514 1
0.3%
99.542 1
0.3%
98.898 1
0.3%
97.498 1
0.3%
97.156 1
0.3%
96.977 1
0.3%
96.215 1
0.3%
95.867 1
0.3%
95.442 1
0.3%
95.385 1
0.3%

2017-12
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean86.14361
Minimum72.318
Maximum104.347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:14.451100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.318
5-th percentile78.45715
Q182.46725
median86.4375
Q389.609
95-th percentile93.9564
Maximum104.347
Range32.029
Interquartile range (IQR)7.14175

Descriptive statistics

Standard deviation4.9574804
Coefficient of variation (CV)0.057549021
Kurtosis0.19471007
Mean86.14361
Median Absolute Deviation (MAD)3.647
Skewness0.13634065
Sum25843.083
Variance24.576612
MonotonicityNot monotonic
2024-04-18T10:54:14.565624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.639 2
 
0.7%
95.098 2
 
0.7%
86.584 2
 
0.7%
82.044 2
 
0.7%
89.244 1
 
0.3%
87.131 1
 
0.3%
97.236 1
 
0.3%
86.25 1
 
0.3%
86.412 1
 
0.3%
86.649 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
72.318 1
0.3%
74.964 1
0.3%
74.993 1
0.3%
75.408 1
0.3%
75.451 1
0.3%
75.905 1
0.3%
76.069 1
0.3%
76.348 1
0.3%
76.458 1
0.3%
76.775 1
0.3%
ValueCountFrequency (%)
104.347 1
0.3%
99.686 1
0.3%
98.944 1
0.3%
97.77 1
0.3%
97.236 1
0.3%
97.164 1
0.3%
96.484 1
0.3%
96.082 1
0.3%
95.867 1
0.3%
95.601 1
0.3%

2018-01
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean86.384657
Minimum72.739
Maximum104.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:14.684803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.739
5-th percentile78.62015
Q182.716
median86.5915
Q389.80325
95-th percentile94.2177
Maximum104.14
Range31.401
Interquartile range (IQR)7.08725

Descriptive statistics

Standard deviation4.9215725
Coefficient of variation (CV)0.056972762
Kurtosis0.15314872
Mean86.384657
Median Absolute Deviation (MAD)3.6335
Skewness0.14213548
Sum25915.397
Variance24.221876
MonotonicityNot monotonic
2024-04-18T10:54:14.797270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.564 2
 
0.7%
83.167 1
 
0.3%
91.403 1
 
0.3%
86.503 1
 
0.3%
86.769 1
 
0.3%
86.628 1
 
0.3%
86.925 1
 
0.3%
89.455 1
 
0.3%
88.809 1
 
0.3%
90.957 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
72.739 1
0.3%
75.243 1
0.3%
75.452 1
0.3%
75.717 1
0.3%
75.751 1
0.3%
76.407 1
0.3%
76.597 1
0.3%
76.655 1
0.3%
76.667 1
0.3%
77.073 1
0.3%
ValueCountFrequency (%)
104.14 1
0.3%
99.83 1
0.3%
99.086 1
0.3%
97.871 1
0.3%
97.349 1
0.3%
97.34 1
0.3%
96.762 1
0.3%
96.275 1
0.3%
96.274 1
0.3%
95.796 1
0.3%

2018-02
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean86.608047
Minimum73.049
Maximum103.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:14.909072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.049
5-th percentile78.8009
Q182.96275
median86.8135
Q390.015
95-th percentile94.40165
Maximum103.92
Range30.871
Interquartile range (IQR)7.05225

Descriptive statistics

Standard deviation4.8766192
Coefficient of variation (CV)0.056306768
Kurtosis0.12136047
Mean86.608047
Median Absolute Deviation (MAD)3.599
Skewness0.14404303
Sum25982.414
Variance23.781414
MonotonicityNot monotonic
2024-04-18T10:54:15.027719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.015 2
 
0.7%
95.886 2
 
0.7%
90.328 2
 
0.7%
81.957 2
 
0.7%
91.525 1
 
0.3%
86.859 1
 
0.3%
87.174 1
 
0.3%
89.589 1
 
0.3%
88.974 1
 
0.3%
91.073 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
73.049 1
0.3%
75.481 1
0.3%
75.947 1
0.3%
76.032 1
0.3%
76.044 1
0.3%
76.737 1
0.3%
76.92 1
0.3%
77.023 1
0.3%
77.238 1
0.3%
77.361 1
0.3%
ValueCountFrequency (%)
103.92 1
0.3%
99.947 1
0.3%
99.254 1
0.3%
97.966 1
0.3%
97.501 1
0.3%
97.123 1
0.3%
96.924 1
0.3%
96.551 1
0.3%
96.471 1
0.3%
95.987 1
0.3%

2018-03
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean86.875857
Minimum73.447
Maximum103.715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:15.153424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.447
5-th percentile79.4033
Q183.19225
median87.026
Q390.19125
95-th percentile94.67245
Maximum103.715
Range30.268
Interquartile range (IQR)6.999

Descriptive statistics

Standard deviation4.8318595
Coefficient of variation (CV)0.055617978
Kurtosis0.088762305
Mean86.875857
Median Absolute Deviation (MAD)3.5795
Skewness0.13927295
Sum26062.757
Variance23.346866
MonotonicityNot monotonic
2024-04-18T10:54:15.275784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.003 2
 
0.7%
81.373 2
 
0.7%
82.786 2
 
0.7%
96.225 2
 
0.7%
88.974 2
 
0.7%
88.494 2
 
0.7%
88.934 2
 
0.7%
89.189 1
 
0.3%
87.061 1
 
0.3%
87.223 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
73.447 1
0.3%
75.724 1
0.3%
76.358 1
0.3%
76.397 1
0.3%
76.515 1
0.3%
77.131 1
0.3%
77.203 1
0.3%
77.405 1
0.3%
77.602 1
0.3%
77.683 1
0.3%
ValueCountFrequency (%)
103.715 1
0.3%
100.019 1
0.3%
99.411 1
0.3%
98.096 1
0.3%
97.703 1
0.3%
97.214 1
0.3%
96.996 1
0.3%
96.892 1
0.3%
96.747 1
0.3%
96.225 2
0.7%

2018-04
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean87.139207
Minimum73.892
Maximum103.517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:15.394935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.892
5-th percentile79.76065
Q183.53575
median87.385
Q390.4615
95-th percentile94.93625
Maximum103.517
Range29.625
Interquartile range (IQR)6.92575

Descriptive statistics

Standard deviation4.7910194
Coefficient of variation (CV)0.054981214
Kurtosis0.060398
Mean87.139207
Median Absolute Deviation (MAD)3.4715
Skewness0.12553582
Sum26141.762
Variance22.953867
MonotonicityNot monotonic
2024-04-18T10:54:15.517006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.481 2
 
0.7%
87.667 2
 
0.7%
84.254 2
 
0.7%
96.561 2
 
0.7%
87.409 1
 
0.3%
87.742 1
 
0.3%
89.941 1
 
0.3%
89.38 1
 
0.3%
91.381 1
 
0.3%
91.852 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
73.892 1
0.3%
75.966 1
0.3%
76.703 1
0.3%
76.74 1
0.3%
77.003 1
0.3%
77.448 1
0.3%
77.559 1
0.3%
77.665 1
0.3%
77.869 1
0.3%
77.903 1
0.3%
ValueCountFrequency (%)
103.517 1
0.3%
100.068 1
0.3%
99.554 1
0.3%
98.162 1
0.3%
97.889 1
0.3%
97.473 1
0.3%
97.234 1
0.3%
97.016 1
0.3%
96.849 1
0.3%
96.561 2
0.7%

2018-05
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean87.409207
Minimum74.348
Maximum103.302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:15.626542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.348
5-th percentile80.04585
Q183.8675
median87.639
Q390.6465
95-th percentile95.17015
Maximum103.302
Range28.954
Interquartile range (IQR)6.779

Descriptive statistics

Standard deviation4.743374
Coefficient of variation (CV)0.054266297
Kurtosis0.029181745
Mean87.409207
Median Absolute Deviation (MAD)3.4065
Skewness0.11139354
Sum26222.762
Variance22.499596
MonotonicityNot monotonic
2024-04-18T10:54:15.738961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.969 2
 
0.7%
82.988 2
 
0.7%
96.903 2
 
0.7%
84.902 2
 
0.7%
91.703 2
 
0.7%
78.152 2
 
0.7%
89.276 2
 
0.7%
84.282 1
 
0.3%
87.636 1
 
0.3%
87.757 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
74.348 1
0.3%
76.207 1
0.3%
77.149 1
0.3%
77.19 1
0.3%
77.494 1
0.3%
77.681 1
0.3%
77.73 1
0.3%
78.133 1
0.3%
78.152 2
0.7%
78.931 1
0.3%
ValueCountFrequency (%)
103.302 1
0.3%
100.113 1
0.3%
99.573 1
0.3%
98.219 1
0.3%
98.018 1
0.3%
97.744 1
0.3%
97.6 1
0.3%
97.211 1
0.3%
96.903 2
0.7%
96.684 1
0.3%

2018-06
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean87.681493
Minimum74.843
Maximum103.059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:15.868962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.843
5-th percentile80.39055
Q184.17
median87.859
Q390.89125
95-th percentile95.3046
Maximum103.059
Range28.216
Interquartile range (IQR)6.72125

Descriptive statistics

Standard deviation4.687435
Coefficient of variation (CV)0.053459799
Kurtosis-0.010131925
Mean87.681493
Median Absolute Deviation (MAD)3.379
Skewness0.099220097
Sum26304.448
Variance21.972047
MonotonicityNot monotonic
2024-04-18T10:54:15.997543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.752 2
 
0.7%
97.217 2
 
0.7%
82.436 2
 
0.7%
83.191 2
 
0.7%
89.475 2
 
0.7%
93.388 1
 
0.3%
91.795 1
 
0.3%
92.184 1
 
0.3%
91.845 1
 
0.3%
89.78 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
74.843 1
0.3%
76.434 1
0.3%
77.614 1
0.3%
77.661 1
0.3%
77.969 1
0.3%
77.993 1
0.3%
78.079 1
0.3%
78.56 1
0.3%
78.578 1
0.3%
78.604 1
0.3%
ValueCountFrequency (%)
103.059 1
0.3%
100.156 1
0.3%
99.591 1
0.3%
98.233 1
0.3%
98.087 1
0.3%
97.965 1
0.3%
97.907 1
0.3%
97.217 2
0.7%
97.175 1
0.3%
96.726 1
0.3%

2018-07
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean87.93267
Minimum75.449
Maximum102.768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:16.117369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.449
5-th percentile80.8473
Q184.44875
median88.078
Q391.15325
95-th percentile95.3566
Maximum102.768
Range27.319
Interquartile range (IQR)6.7045

Descriptive statistics

Standard deviation4.6183206
Coefficient of variation (CV)0.0525211
Kurtosis-0.043764968
Mean87.93267
Median Absolute Deviation (MAD)3.3655
Skewness0.11567054
Sum26379.801
Variance21.328885
MonotonicityNot monotonic
2024-04-18T10:54:16.222975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.078 2
 
0.7%
97.728 2
 
0.7%
92.297 2
 
0.7%
92.073 1
 
0.3%
88.228 1
 
0.3%
88.292 1
 
0.3%
88.277 1
 
0.3%
88.511 1
 
0.3%
90.505 1
 
0.3%
89.997 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
75.449 1
0.3%
76.742 1
0.3%
78.058 1
0.3%
78.09 1
0.3%
78.265 1
0.3%
78.538 1
0.3%
78.619 1
0.3%
78.946 1
0.3%
79.096 1
0.3%
79.5 1
0.3%
ValueCountFrequency (%)
102.768 1
0.3%
100.193 1
0.3%
99.364 1
0.3%
98.497 1
0.3%
98.281 1
0.3%
98.095 1
0.3%
98.091 1
0.3%
97.728 2
0.7%
97.235 1
0.3%
97.227 1
0.3%

2018-08
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean88.20751
Minimum75.83
Maximum102.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:16.330599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75.83
5-th percentile81.3114
Q184.78775
median88.3565
Q391.3195
95-th percentile95.3606
Maximum102.336
Range26.506
Interquartile range (IQR)6.53175

Descriptive statistics

Standard deviation4.534261
Coefficient of variation (CV)0.051404478
Kurtosis-0.073757483
Mean88.20751
Median Absolute Deviation (MAD)3.2975
Skewness0.1178544
Sum26462.253
Variance20.559523
MonotonicityNot monotonic
2024-04-18T10:54:16.439240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.411 2
 
0.7%
82.543 2
 
0.7%
88.604 2
 
0.7%
85.292 1
 
0.3%
92.228 1
 
0.3%
96.453 1
 
0.3%
88.545 1
 
0.3%
88.627 1
 
0.3%
88.757 1
 
0.3%
90.685 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
75.83 1
0.3%
77.158 1
0.3%
78.497 1
0.3%
78.651 1
0.3%
78.774 1
0.3%
79.034 1
0.3%
79.23 1
0.3%
79.397 1
0.3%
79.677 1
0.3%
80.022 1
0.3%
ValueCountFrequency (%)
102.336 1
0.3%
100.139 1
0.3%
99.205 1
0.3%
98.958 1
0.3%
98.411 2
0.7%
98.216 1
0.3%
98.161 1
0.3%
97.954 1
0.3%
97.894 1
0.3%
97.017 1
0.3%

2018-09
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean88.47431
Minimum76.234
Maximum101.906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:17.262968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.234
5-th percentile81.70435
Q185.19725
median88.6585
Q391.551
95-th percentile95.4489
Maximum101.906
Range25.672
Interquartile range (IQR)6.35375

Descriptive statistics

Standard deviation4.4313992
Coefficient of variation (CV)0.050086847
Kurtosis-0.075165651
Mean88.47431
Median Absolute Deviation (MAD)3.265
Skewness0.12339526
Sum26542.293
Variance19.637299
MonotonicityNot monotonic
2024-04-18T10:54:17.380199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.197 2
 
0.7%
84.669 2
 
0.7%
98.979 2
 
0.7%
92.648 2
 
0.7%
92.684 1
 
0.3%
88.815 1
 
0.3%
88.886 1
 
0.3%
88.868 1
 
0.3%
88.994 1
 
0.3%
90.836 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
76.234 1
0.3%
77.562 1
0.3%
78.912 1
0.3%
79.186 1
0.3%
79.299 1
0.3%
79.546 1
0.3%
79.828 1
0.3%
79.907 1
0.3%
80.29 1
0.3%
80.335 1
0.3%
ValueCountFrequency (%)
101.906 1
0.3%
100.008 1
0.3%
99.813 1
0.3%
98.979 2
0.7%
98.558 1
0.3%
98.442 1
0.3%
98.213 1
0.3%
98.007 1
0.3%
97.772 1
0.3%
96.917 1
0.3%

2018-10
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean88.773603
Minimum76.879
Maximum101.642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:17.491475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.879
5-th percentile82.03445
Q185.6
median88.9745
Q391.77275
95-th percentile95.60565
Maximum101.642
Range24.763
Interquartile range (IQR)6.17275

Descriptive statistics

Standard deviation4.3226694
Coefficient of variation (CV)0.048693184
Kurtosis-0.079765784
Mean88.773603
Median Absolute Deviation (MAD)3.1735
Skewness0.12495396
Sum26632.081
Variance18.685471
MonotonicityNot monotonic
2024-04-18T10:54:17.600596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.372 2
 
0.7%
85.6 2
 
0.7%
86.045 1
 
0.3%
92.577 1
 
0.3%
96.021 1
 
0.3%
89.165 1
 
0.3%
89.263 1
 
0.3%
89.232 1
 
0.3%
89.271 1
 
0.3%
91.049 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
76.879 1
0.3%
77.977 1
0.3%
79.416 1
0.3%
79.651 1
0.3%
79.945 1
0.3%
80.033 1
0.3%
80.414 1
0.3%
80.495 1
0.3%
80.833 1
0.3%
80.856 1
0.3%
ValueCountFrequency (%)
101.642 1
0.3%
100.291 1
0.3%
99.627 1
0.3%
99.372 2
0.7%
98.784 1
0.3%
98.296 1
0.3%
98.247 1
0.3%
97.891 1
0.3%
97.687 1
0.3%
97.009 1
0.3%

2018-11
Real number (ℝ)

Distinct299
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean89.052653
Minimum77.286
Maximum101.395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:17.707304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.286
5-th percentile82.46755
Q186.02725
median89.265
Q391.9985
95-th percentile95.7034
Maximum101.395
Range24.109
Interquartile range (IQR)5.97125

Descriptive statistics

Standard deviation4.2090732
Coefficient of variation (CV)0.047264995
Kurtosis-0.091405121
Mean89.052653
Median Absolute Deviation (MAD)3.0905
Skewness0.11301463
Sum26715.796
Variance17.716297
MonotonicityNot monotonic
2024-04-18T10:54:17.829952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.608 2
 
0.7%
86.403 1
 
0.3%
93.047 1
 
0.3%
89.498 1
 
0.3%
89.553 1
 
0.3%
89.543 1
 
0.3%
89.562 1
 
0.3%
91.234 1
 
0.3%
90.807 1
 
0.3%
92.734 1
 
0.3%
Other values (289) 289
96.0%
ValueCountFrequency (%)
77.286 1
0.3%
78.428 1
0.3%
79.964 1
0.3%
80.179 1
0.3%
80.497 1
0.3%
80.53 1
0.3%
80.976 1
0.3%
81.016 1
0.3%
81.366 1
0.3%
81.415 1
0.3%
ValueCountFrequency (%)
101.395 1
0.3%
100.534 1
0.3%
99.608 2
0.7%
99.224 1
0.3%
99.018 1
0.3%
97.998 1
0.3%
97.997 1
0.3%
97.706 1
0.3%
97.465 1
0.3%
97.098 1
0.3%

2018-12
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean89.303523
Minimum77.683
Maximum101.184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:17.945129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.683
5-th percentile82.85175
Q186.28725
median89.528
Q392.2015
95-th percentile95.66615
Maximum101.184
Range23.501
Interquartile range (IQR)5.91425

Descriptive statistics

Standard deviation4.1204935
Coefficient of variation (CV)0.046140324
Kurtosis-0.089846884
Mean89.303523
Median Absolute Deviation (MAD)3.0405
Skewness0.10061463
Sum26791.057
Variance16.978467
MonotonicityNot monotonic
2024-04-18T10:54:18.081154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.842 2
 
0.7%
86.641 2
 
0.7%
92.011 2
 
0.7%
86.697 1
 
0.3%
90.989 1
 
0.3%
89.821 1
 
0.3%
89.822 1
 
0.3%
89.84 1
 
0.3%
89.858 1
 
0.3%
91.378 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
77.683 1
0.3%
78.909 1
0.3%
80.311 1
0.3%
80.725 1
0.3%
80.953 1
0.3%
80.971 1
0.3%
81.252 1
0.3%
81.521 1
0.3%
81.776 1
0.3%
81.805 1
0.3%
ValueCountFrequency (%)
101.184 1
0.3%
100.776 1
0.3%
99.842 2
0.7%
99.247 1
0.3%
99.042 1
0.3%
97.946 1
0.3%
97.782 1
0.3%
97.434 1
0.3%
97.347 1
0.3%
97.166 1
0.3%

2019-01
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean89.539383
Minimum78.037
Maximum100.991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:18.199855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.037
5-th percentile83.25635
Q186.51625
median89.7785
Q392.4195
95-th percentile95.7838
Maximum100.991
Range22.954
Interquartile range (IQR)5.90325

Descriptive statistics

Standard deviation4.0462598
Coefficient of variation (CV)0.045189721
Kurtosis-0.089988185
Mean89.539383
Median Absolute Deviation (MAD)2.9735
Skewness0.086841172
Sum26861.815
Variance16.372218
MonotonicityNot monotonic
2024-04-18T10:54:18.311042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.121 2
 
0.7%
90.108 2
 
0.7%
100.063 2
 
0.7%
90.133 2
 
0.7%
87.405 2
 
0.7%
87.237 2
 
0.7%
93.38 1
 
0.3%
90.139 1
 
0.3%
91.556 1
 
0.3%
91.192 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
78.037 1
0.3%
79.366 1
0.3%
80.608 1
0.3%
81.113 1
0.3%
81.371 1
0.3%
81.421 1
0.3%
81.547 1
0.3%
81.954 1
0.3%
82.099 1
0.3%
82.148 1
0.3%
ValueCountFrequency (%)
100.991 1
0.3%
100.96 1
0.3%
100.063 2
0.7%
99.472 1
0.3%
98.809 1
0.3%
97.819 1
0.3%
97.686 1
0.3%
97.29 1
0.3%
97.268 1
0.3%
97.196 1
0.3%

2019-02
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean89.749117
Minimum78.297
Maximum101.109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:18.422110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.297
5-th percentile83.51155
Q186.83075
median90.0135
Q392.61375
95-th percentile95.8995
Maximum101.109
Range22.812
Interquartile range (IQR)5.783

Descriptive statistics

Standard deviation3.9818091
Coefficient of variation (CV)0.044365998
Kurtosis-0.095077275
Mean89.749117
Median Absolute Deviation (MAD)2.94
Skewness0.066935653
Sum26924.735
Variance15.854804
MonotonicityNot monotonic
2024-04-18T10:54:18.533643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.2 2
 
0.7%
100.184 2
 
0.7%
87.05 2
 
0.7%
90.058 2
 
0.7%
87.465 2
 
0.7%
85.318 2
 
0.7%
90.635 2
 
0.7%
85.444 1
 
0.3%
91.745 1
 
0.3%
91.102 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
78.297 1
0.3%
79.822 1
0.3%
80.905 1
0.3%
81.486 1
0.3%
81.719 1
0.3%
81.733 1
0.3%
81.82 1
0.3%
82.292 1
0.3%
82.308 1
0.3%
82.399 1
0.3%
ValueCountFrequency (%)
101.109 1
0.3%
100.784 1
0.3%
100.184 2
0.7%
99.594 1
0.3%
98.679 1
0.3%
97.67 1
0.3%
97.588 1
0.3%
97.254 1
0.3%
97.162 1
0.3%
97.116 1
0.3%

2019-03
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean89.988707
Minimum78.603
Maximum101.182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:18.645144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.603
5-th percentile83.8278
Q187.093
median90.281
Q392.81475
95-th percentile96.057
Maximum101.182
Range22.579
Interquartile range (IQR)5.72175

Descriptive statistics

Standard deviation3.9159731
Coefficient of variation (CV)0.043516273
Kurtosis-0.10702964
Mean89.988707
Median Absolute Deviation (MAD)2.9115
Skewness0.040677279
Sum26996.612
Variance15.334846
MonotonicityNot monotonic
2024-04-18T10:54:18.757267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.273 2
 
0.7%
85.492 2
 
0.7%
100.278 2
 
0.7%
84.174 2
 
0.7%
90.666 2
 
0.7%
87.313 2
 
0.7%
91.662 1
 
0.3%
91.431 1
 
0.3%
95.228 1
 
0.3%
90.669 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
78.603 1
0.3%
80.21 1
0.3%
81.243 1
0.3%
81.88 1
0.3%
81.981 1
0.3%
82.058 1
0.3%
82.095 1
0.3%
82.559 1
0.3%
82.698 1
0.3%
82.724 1
0.3%
ValueCountFrequency (%)
101.182 1
0.3%
100.664 1
0.3%
100.278 2
0.7%
99.7 1
0.3%
98.573 1
0.3%
97.596 1
0.3%
97.479 1
0.3%
97.151 1
0.3%
97.075 1
0.3%
97.002 1
0.3%

2019-04
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean90.2309
Minimum78.852
Maximum101.275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:18.879818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.852
5-th percentile84.12515
Q187.45075
median90.5215
Q392.99225
95-th percentile96.20565
Maximum101.275
Range22.423
Interquartile range (IQR)5.5415

Descriptive statistics

Standard deviation3.8486091
Coefficient of variation (CV)0.042652895
Kurtosis-0.10482765
Mean90.2309
Median Absolute Deviation (MAD)2.824
Skewness0.019614198
Sum27069.27
Variance14.811792
MonotonicityNot monotonic
2024-04-18T10:54:18.994354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.588 2
 
0.7%
100.381 2
 
0.7%
93.124 2
 
0.7%
91.941 2
 
0.7%
87.711 2
 
0.7%
91.493 2
 
0.7%
94.702 1
 
0.3%
90.912 1
 
0.3%
92.244 1
 
0.3%
91.902 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
78.852 1
0.3%
80.617 1
0.3%
81.673 1
0.3%
82.272 1
0.3%
82.319 1
0.3%
82.378 1
0.3%
82.435 1
0.3%
82.909 1
0.3%
83.048 1
0.3%
83.118 1
0.3%
ValueCountFrequency (%)
101.275 1
0.3%
100.565 1
0.3%
100.381 2
0.7%
99.809 1
0.3%
98.487 1
0.3%
97.498 1
0.3%
97.361 1
0.3%
97.226 1
0.3%
97.005 1
0.3%
96.956 1
0.3%

2019-05
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean90.468007
Minimum79.289
Maximum101.118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:19.103253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.289
5-th percentile84.451
Q187.771
median90.733
Q393.19775
95-th percentile96.24305
Maximum101.118
Range21.829
Interquartile range (IQR)5.42675

Descriptive statistics

Standard deviation3.7568816
Coefficient of variation (CV)0.041527184
Kurtosis-0.14475275
Mean90.468007
Median Absolute Deviation (MAD)2.7605
Skewness-0.0081469338
Sum27140.402
Variance14.114159
MonotonicityNot monotonic
2024-04-18T10:54:19.212552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.247 2
 
0.7%
87.963 2
 
0.7%
92.403 2
 
0.7%
90.028 2
 
0.7%
90.733 2
 
0.7%
92.568 2
 
0.7%
88.029 1
 
0.3%
92.137 1
 
0.3%
91.181 1
 
0.3%
91.152 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
79.289 1
0.3%
81.034 1
0.3%
82.144 1
0.3%
82.673 1
0.3%
82.721 1
0.3%
82.784 1
0.3%
82.794 1
0.3%
83.244 1
0.3%
83.375 1
0.3%
83.569 1
0.3%
ValueCountFrequency (%)
101.118 1
0.3%
100.436 1
0.3%
100.247 2
0.7%
99.69 1
0.3%
98.399 1
0.3%
97.368 1
0.3%
97.202 1
0.3%
97.197 1
0.3%
96.911 1
0.3%
96.84 1
0.3%

2019-06
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean90.693167
Minimum79.746
Maximum101.007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:19.324145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.746
5-th percentile84.79325
Q188.13575
median90.949
Q393.41425
95-th percentile96.29365
Maximum101.007
Range21.261
Interquartile range (IQR)5.2785

Descriptive statistics

Standard deviation3.6626657
Coefficient of variation (CV)0.040385244
Kurtosis-0.17168598
Mean90.693167
Median Absolute Deviation (MAD)2.662
Skewness-0.031747414
Sum27207.95
Variance13.41512
MonotonicityNot monotonic
2024-04-18T10:54:19.440897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.221 2
 
0.7%
91.669 2
 
0.7%
100.135 2
 
0.7%
94.388 2
 
0.7%
94.188 1
 
0.3%
91.401 1
 
0.3%
91.364 1
 
0.3%
91.403 1
 
0.3%
91.399 1
 
0.3%
92.668 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
79.746 1
0.3%
81.444 1
0.3%
82.508 1
0.3%
83.081 1
0.3%
83.11 1
0.3%
83.158 1
0.3%
83.253 1
0.3%
83.65 1
0.3%
83.705 1
0.3%
83.958 1
0.3%
ValueCountFrequency (%)
101.007 1
0.3%
100.337 1
0.3%
100.135 2
0.7%
99.577 1
0.3%
98.322 1
0.3%
97.188 1
0.3%
97.17 1
0.3%
97.009 1
0.3%
96.78 1
0.3%
96.746 1
0.3%

2019-07
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean90.92194
Minimum80.116
Maximum100.887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:19.560431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.116
5-th percentile85.1484
Q188.4425
median91.1785
Q393.637
95-th percentile96.24385
Maximum100.887
Range20.771
Interquartile range (IQR)5.1945

Descriptive statistics

Standard deviation3.5611796
Coefficient of variation (CV)0.03916744
Kurtosis-0.18399292
Mean90.92194
Median Absolute Deviation (MAD)2.5865
Skewness-0.056948752
Sum27276.582
Variance12.682
MonotonicityNot monotonic
2024-04-18T10:54:19.670513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.004 2
 
0.7%
94.377 2
 
0.7%
92.558 2
 
0.7%
88.611 1
 
0.3%
94.317 1
 
0.3%
91.648 1
 
0.3%
91.58 1
 
0.3%
91.634 1
 
0.3%
91.651 1
 
0.3%
92.871 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
80.116 1
0.3%
81.83 1
0.3%
82.894 1
0.3%
83.468 1
0.3%
83.516 1
0.3%
83.535 1
0.3%
83.756 1
0.3%
84.014 1
0.3%
84.137 1
0.3%
84.207 1
0.3%
ValueCountFrequency (%)
100.887 1
0.3%
100.194 1
0.3%
100.004 2
0.7%
99.441 1
0.3%
98.272 1
0.3%
97.168 1
0.3%
96.999 1
0.3%
96.862 1
0.3%
96.678 1
0.3%
96.664 1
0.3%

2019-08
Real number (ℝ)

Distinct298
Distinct (%)99.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean91.135573
Minimum80.443
Maximum100.705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:19.782623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.443
5-th percentile85.5098
Q188.7435
median91.3395
Q393.80275
95-th percentile96.0844
Maximum100.705
Range20.262
Interquartile range (IQR)5.05925

Descriptive statistics

Standard deviation3.4484232
Coefficient of variation (CV)0.037838388
Kurtosis-0.18462608
Mean91.135573
Median Absolute Deviation (MAD)2.5215
Skewness-0.090093655
Sum27340.672
Variance11.891623
MonotonicityNot monotonic
2024-04-18T10:54:19.901365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.588 2
 
0.7%
99.812 2
 
0.7%
88.903 1
 
0.3%
93.982 1
 
0.3%
91.858 1
 
0.3%
91.773 1
 
0.3%
91.836 1
 
0.3%
91.865 1
 
0.3%
93.064 1
 
0.3%
92.757 1
 
0.3%
Other values (288) 288
95.7%
ValueCountFrequency (%)
80.443 1
0.3%
82.255 1
0.3%
83.233 1
0.3%
83.867 1
0.3%
83.876 1
0.3%
84.014 1
0.3%
84.259 1
0.3%
84.366 1
0.3%
84.442 1
0.3%
84.623 1
0.3%
ValueCountFrequency (%)
100.705 1
0.3%
99.988 1
0.3%
99.812 2
0.7%
99.242 1
0.3%
98.172 1
0.3%
97.047 1
0.3%
96.82 1
0.3%
96.656 1
0.3%
96.605 1
0.3%
96.585 1
0.3%

2019-09
Real number (ℝ)

Distinct297
Distinct (%)99.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean91.338563
Minimum80.763
Maximum100.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:20.021541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.763
5-th percentile85.89445
Q189.0515
median91.5175
Q393.97225
95-th percentile96.1158
Maximum100.299
Range19.536
Interquartile range (IQR)4.92075

Descriptive statistics

Standard deviation3.3235533
Coefficient of variation (CV)0.036387186
Kurtosis-0.21164785
Mean91.338563
Median Absolute Deviation (MAD)2.4785
Skewness-0.13069664
Sum27401.569
Variance11.046006
MonotonicityNot monotonic
2024-04-18T10:54:20.143550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.635 2
 
0.7%
99.405 2
 
0.7%
94.371 2
 
0.7%
89.19 1
 
0.3%
92.92 1
 
0.3%
92.042 1
 
0.3%
91.943 1
 
0.3%
92.013 1
 
0.3%
92.056 1
 
0.3%
93.217 1
 
0.3%
Other values (287) 287
95.3%
ValueCountFrequency (%)
80.763 1
0.3%
82.725 1
0.3%
83.645 1
0.3%
84.201 1
0.3%
84.306 1
0.3%
84.48 1
0.3%
84.71 1
0.3%
84.741 1
0.3%
84.758 1
0.3%
85.092 1
0.3%
ValueCountFrequency (%)
100.299 1
0.3%
99.753 1
0.3%
99.405 2
0.7%
98.834 1
0.3%
98.079 1
0.3%
97.035 1
0.3%
96.602 1
0.3%
96.596 1
0.3%
96.478 1
0.3%
96.433 1
0.3%

2019-10
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean91.557717
Minimum81.042
Maximum99.884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:20.272990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.042
5-th percentile86.20815
Q189.36675
median91.742
Q394.09175
95-th percentile96.15395
Maximum99.884
Range18.842
Interquartile range (IQR)4.725

Descriptive statistics

Standard deviation3.1968569
Coefficient of variation (CV)0.034916302
Kurtosis-0.22463048
Mean91.557717
Median Absolute Deviation (MAD)2.364
Skewness-0.17715246
Sum27467.315
Variance10.219894
MonotonicityNot monotonic
2024-04-18T10:54:20.405342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.99 2
 
0.7%
87.575 2
 
0.7%
95.398 2
 
0.7%
91.188 2
 
0.7%
89.489 1
 
0.3%
93.08 1
 
0.3%
92.233 1
 
0.3%
92.14 1
 
0.3%
92.206 1
 
0.3%
92.265 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
81.042 1
0.3%
83.291 1
0.3%
84.124 1
0.3%
84.56 1
0.3%
84.722 1
0.3%
84.927 1
0.3%
85.0 1
0.3%
85.157 1
0.3%
85.257 1
0.3%
85.529 1
0.3%
ValueCountFrequency (%)
99.884 1
0.3%
99.469 1
0.3%
98.99 2
0.7%
98.419 1
0.3%
98.03 1
0.3%
97.025 1
0.3%
96.613 1
0.3%
96.424 1
0.3%
96.369 1
0.3%
96.351 1
0.3%

2019-11
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean91.779193
Minimum81.296
Maximum99.382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:20.521704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.296
5-th percentile86.5631
Q189.72
median91.929
Q394.2305
95-th percentile96.0726
Maximum99.382
Range18.086
Interquartile range (IQR)4.5105

Descriptive statistics

Standard deviation3.0625576
Coefficient of variation (CV)0.033368757
Kurtosis-0.22595939
Mean91.779193
Median Absolute Deviation (MAD)2.223
Skewness-0.22224841
Sum27533.758
Variance9.3792593
MonotonicityNot monotonic
2024-04-18T10:54:20.636803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.45 2
 
0.7%
92.585 2
 
0.7%
91.512 2
 
0.7%
98.473 2
 
0.7%
94.073 2
 
0.7%
93.222 1
 
0.3%
92.423 1
 
0.3%
92.322 1
 
0.3%
92.392 1
 
0.3%
92.477 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
81.296 1
0.3%
83.851 1
0.3%
84.625 1
0.3%
85.052 1
0.3%
85.261 1
0.3%
85.294 1
0.3%
85.359 1
0.3%
85.59 1
0.3%
85.732 1
0.3%
85.929 1
0.3%
ValueCountFrequency (%)
99.382 1
0.3%
99.328 1
0.3%
98.473 2
0.7%
97.971 1
0.3%
97.926 1
0.3%
96.912 1
0.3%
96.661 1
0.3%
96.341 1
0.3%
96.289 1
0.3%
96.268 1
0.3%

2019-12
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.00532
Minimum81.53
Maximum99.316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:20.766164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.53
5-th percentile87.05165
Q190.063
median92.1185
Q394.401
95-th percentile96.08275
Maximum99.316
Range17.786
Interquartile range (IQR)4.338

Descriptive statistics

Standard deviation2.9384761
Coefficient of variation (CV)0.031938111
Kurtosis-0.19400172
Mean92.00532
Median Absolute Deviation (MAD)2.1445
Skewness-0.25819185
Sum27601.596
Variance8.6346418
MonotonicityNot monotonic
2024-04-18T10:54:20.880622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.228 2
 
0.7%
98.077 2
 
0.7%
89.665 2
 
0.7%
91.717 2
 
0.7%
90.063 2
 
0.7%
90.091 1
 
0.3%
92.68 1
 
0.3%
93.345 1
 
0.3%
95.651 1
 
0.3%
92.629 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
81.53 1
0.3%
84.357 1
0.3%
85.159 1
0.3%
85.488 1
0.3%
85.601 1
0.3%
85.734 1
0.3%
85.824 1
0.3%
86.169 1
0.3%
86.23 1
0.3%
86.359 1
0.3%
ValueCountFrequency (%)
99.316 1
0.3%
98.951 1
0.3%
98.077 2
0.7%
97.951 1
0.3%
97.52 1
0.3%
96.818 1
0.3%
96.696 1
0.3%
96.407 1
0.3%
96.368 1
0.3%
96.331 1
0.3%

2020-01
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.22915
Minimum81.872
Maximum99.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:21.007197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.872
5-th percentile87.5144
Q190.3795
median92.3
Q394.5715
95-th percentile96.1199
Maximum99.221
Range17.349
Interquartile range (IQR)4.192

Descriptive statistics

Standard deviation2.8208332
Coefficient of variation (CV)0.03058505
Kurtosis-0.15863185
Mean92.22915
Median Absolute Deviation (MAD)2.051
Skewness-0.28934886
Sum27668.745
Variance7.9571
MonotonicityNot monotonic
2024-04-18T10:54:21.118160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.211 2
 
0.7%
95.594 2
 
0.7%
97.775 2
 
0.7%
90.368 2
 
0.7%
94.142 2
 
0.7%
92.88 1
 
0.3%
93.752 1
 
0.3%
93.527 1
 
0.3%
94.607 1
 
0.3%
94.935 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
81.872 1
0.3%
84.944 1
0.3%
85.678 1
0.3%
85.896 1
0.3%
85.943 1
0.3%
86.166 1
0.3%
86.277 1
0.3%
86.57 1
0.3%
86.774 1
0.3%
86.795 1
0.3%
ValueCountFrequency (%)
99.221 1
0.3%
98.635 1
0.3%
97.91 1
0.3%
97.775 2
0.7%
97.226 1
0.3%
96.745 1
0.3%
96.741 1
0.3%
96.508 1
0.3%
96.421 1
0.3%
96.406 1
0.3%

2020-02
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.451357
Minimum82.227
Maximum99.126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:21.227832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.227
5-th percentile87.95645
Q190.6815
median92.5185
Q394.70475
95-th percentile96.2022
Maximum99.126
Range16.899
Interquartile range (IQR)4.02325

Descriptive statistics

Standard deviation2.7086573
Coefficient of variation (CV)0.029298189
Kurtosis-0.10513718
Mean92.451357
Median Absolute Deviation (MAD)1.981
Skewness-0.32629248
Sum27735.407
Variance7.3368244
MonotonicityNot monotonic
2024-04-18T10:54:21.334020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.158 2
 
0.7%
97.468 2
 
0.7%
92.688 2
 
0.7%
92.206 2
 
0.7%
91.756 2
 
0.7%
91.103 2
 
0.7%
90.78 2
 
0.7%
90.68 1
 
0.3%
93.005 1
 
0.3%
93.721 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
82.227 1
0.3%
85.47 1
0.3%
86.205 1
0.3%
86.222 1
0.3%
86.285 1
0.3%
86.584 1
0.3%
86.715 1
0.3%
86.953 1
0.3%
87.165 1
0.3%
87.298 1
0.3%
ValueCountFrequency (%)
99.126 1
0.3%
98.321 1
0.3%
97.89 1
0.3%
97.468 2
0.7%
96.925 1
0.3%
96.786 1
0.3%
96.737 1
0.3%
96.633 1
0.3%
96.47 1
0.3%
96.449 1
0.3%

2020-03
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.636853
Minimum82.474
Maximum99.026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:21.445322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.474
5-th percentile88.1314
Q190.9305
median92.663
Q394.79025
95-th percentile96.34765
Maximum99.026
Range16.552
Interquartile range (IQR)3.85975

Descriptive statistics

Standard deviation2.6155991
Coefficient of variation (CV)0.028234974
Kurtosis-0.030929927
Mean92.636853
Median Absolute Deviation (MAD)1.9035
Skewness-0.36820769
Sum27791.056
Variance6.8413589
MonotonicityNot monotonic
2024-04-18T10:54:21.557363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.894 2
 
0.7%
89.641 2
 
0.7%
91.935 2
 
0.7%
97.16 2
 
0.7%
89.781 2
 
0.7%
95.931 2
 
0.7%
95.094 2
 
0.7%
94.078 1
 
0.3%
93.926 1
 
0.3%
95.72 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
82.474 1
0.3%
85.909 1
0.3%
86.344 1
0.3%
86.512 1
0.3%
86.794 1
0.3%
86.915 1
0.3%
87.186 1
0.3%
87.25 1
0.3%
87.457 1
0.3%
87.712 1
0.3%
ValueCountFrequency (%)
99.026 1
0.3%
98.013 1
0.3%
97.86 1
0.3%
97.16 2
0.7%
96.838 1
0.3%
96.754 1
0.3%
96.727 1
0.3%
96.618 1
0.3%
96.538 1
0.3%
96.527 1
0.3%

2020-04
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.803653
Minimum82.72
Maximum98.922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:21.671802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.72
5-th percentile88.4263
Q191.14475
median92.8065
Q394.884
95-th percentile96.3885
Maximum98.922
Range16.202
Interquartile range (IQR)3.73925

Descriptive statistics

Standard deviation2.5355664
Coefficient of variation (CV)0.027321838
Kurtosis0.04704538
Mean92.803653
Median Absolute Deviation (MAD)1.821
Skewness-0.41182705
Sum27841.096
Variance6.4290968
MonotonicityNot monotonic
2024-04-18T10:54:21.786239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.696 2
 
0.7%
96.874 2
 
0.7%
94.757 2
 
0.7%
91.072 2
 
0.7%
94.883 2
 
0.7%
92.094 2
 
0.7%
91.138 1
 
0.3%
94.053 1
 
0.3%
93.418 1
 
0.3%
93.561 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
82.72 1
0.3%
86.266 1
0.3%
86.448 1
0.3%
86.748 1
0.3%
87.193 1
0.3%
87.209 1
0.3%
87.545 1
0.3%
87.576 1
0.3%
87.735 1
0.3%
87.985 1
0.3%
ValueCountFrequency (%)
98.922 1
0.3%
97.816 1
0.3%
97.718 1
0.3%
96.877 1
0.3%
96.874 2
0.7%
96.867 1
0.3%
96.687 1
0.3%
96.661 1
0.3%
96.605 1
0.3%
96.598 1
0.3%

2020-05
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean92.984077
Minimum82.959
Maximum98.827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:21.901113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.959
5-th percentile88.75795
Q191.3985
median92.979
Q395.00125
95-th percentile96.471
Maximum98.827
Range15.868
Interquartile range (IQR)3.60275

Descriptive statistics

Standard deviation2.4559079
Coefficient of variation (CV)0.026412134
Kurtosis0.14311496
Mean92.984077
Median Absolute Deviation (MAD)1.792
Skewness-0.44958249
Sum27895.223
Variance6.0314838
MonotonicityNot monotonic
2024-04-18T10:54:22.013383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.971 2
 
0.7%
96.668 2
 
0.7%
93.525 2
 
0.7%
92.801 2
 
0.7%
94.227 1
 
0.3%
94.321 1
 
0.3%
95.738 1
 
0.3%
93.684 1
 
0.3%
93.625 1
 
0.3%
93.762 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
82.959 1
0.3%
86.543 1
0.3%
86.75 1
0.3%
87.067 1
0.3%
87.449 1
0.3%
87.549 1
0.3%
87.97 1
0.3%
88.001 1
0.3%
88.009 1
0.3%
88.252 1
0.3%
ValueCountFrequency (%)
98.827 1
0.3%
97.822 1
0.3%
97.507 1
0.3%
96.982 1
0.3%
96.921 1
0.3%
96.73 1
0.3%
96.693 1
0.3%
96.677 1
0.3%
96.668 2
0.7%
96.656 1
0.3%

2020-06
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean93.19712
Minimum83.236
Maximum98.746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:22.120614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.236
5-th percentile89.1679
Q191.67475
median93.2175
Q395.1575
95-th percentile96.561
Maximum98.746
Range15.51
Interquartile range (IQR)3.48275

Descriptive statistics

Standard deviation2.3706962
Coefficient of variation (CV)0.025437441
Kurtosis0.27075141
Mean93.19712
Median Absolute Deviation (MAD)1.701
Skewness-0.49058752
Sum27959.136
Variance5.6202005
MonotonicityNot monotonic
2024-04-18T10:54:22.234710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.561 2
 
0.7%
92.767 2
 
0.7%
95.94 2
 
0.7%
90.21 2
 
0.7%
90.889 2
 
0.7%
91.645 1
 
0.3%
94.58 1
 
0.3%
93.895 1
 
0.3%
93.789 1
 
0.3%
93.863 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
83.236 1
0.3%
86.642 1
0.3%
87.259 1
0.3%
87.563 1
0.3%
87.808 1
0.3%
87.947 1
0.3%
88.294 1
0.3%
88.368 1
0.3%
88.476 1
0.3%
88.558 1
0.3%
ValueCountFrequency (%)
98.746 1
0.3%
97.868 1
0.3%
97.366 1
0.3%
97.095 1
0.3%
96.961 1
0.3%
96.83 1
0.3%
96.808 1
0.3%
96.79 1
0.3%
96.745 1
0.3%
96.739 1
0.3%

2020-07
Real number (ℝ)

Distinct295
Distinct (%)98.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean93.427403
Minimum84.655
Maximum98.692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:22.350502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.655
5-th percentile89.539
Q191.94675
median93.47
Q395.3205
95-th percentile96.56625
Maximum98.692
Range14.037
Interquartile range (IQR)3.37375

Descriptive statistics

Standard deviation2.2570136
Coefficient of variation (CV)0.02415794
Kurtosis0.033049628
Mean93.427403
Median Absolute Deviation (MAD)1.636
Skewness-0.45129915
Sum28028.221
Variance5.0941102
MonotonicityNot monotonic
2024-04-18T10:54:22.458710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.821 2
 
0.7%
91.76 2
 
0.7%
92.301 2
 
0.7%
96.483 2
 
0.7%
93.636 2
 
0.7%
95.696 1
 
0.3%
94.044 1
 
0.3%
94.099 1
 
0.3%
94.18 1
 
0.3%
94.765 1
 
0.3%
Other values (285) 285
94.7%
ValueCountFrequency (%)
84.655 1
0.3%
86.994 1
0.3%
87.803 1
0.3%
88.085 1
0.3%
88.203 1
0.3%
88.592 1
0.3%
88.708 1
0.3%
88.796 1
0.3%
88.839 1
0.3%
88.959 1
0.3%
ValueCountFrequency (%)
98.692 1
0.3%
97.924 1
0.3%
97.265 1
0.3%
97.207 1
0.3%
97.003 1
0.3%
96.936 1
0.3%
96.92 1
0.3%
96.896 1
0.3%
96.853 1
0.3%
96.837 1
0.3%

2020-08
Real number (ℝ)

Distinct293
Distinct (%)97.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean93.6423
Minimum85.934
Maximum98.645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:22.577788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.934
5-th percentile89.8641
Q192.2465
median93.675
Q395.431
95-th percentile96.6172
Maximum98.645
Range12.711
Interquartile range (IQR)3.1845

Descriptive statistics

Standard deviation2.1524251
Coefficient of variation (CV)0.022985607
Kurtosis-0.14811095
Mean93.6423
Median Absolute Deviation (MAD)1.5735
Skewness-0.42027233
Sum28092.69
Variance4.6329339
MonotonicityNot monotonic
2024-04-18T10:54:22.697000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.413 3
 
1.0%
93.457 2
 
0.7%
92.28 2
 
0.7%
92.782 2
 
0.7%
90.488 2
 
0.7%
95.865 2
 
0.7%
94.304 1
 
0.3%
94.245 1
 
0.3%
94.295 1
 
0.3%
94.38 1
 
0.3%
Other values (283) 283
94.0%
ValueCountFrequency (%)
85.934 1
0.3%
87.598 1
0.3%
88.259 1
0.3%
88.439 1
0.3%
88.623 1
0.3%
88.947 1
0.3%
89.105 1
0.3%
89.146 1
0.3%
89.242 1
0.3%
89.382 1
0.3%
ValueCountFrequency (%)
98.645 1
0.3%
97.927 1
0.3%
97.309 1
0.3%
97.134 1
0.3%
97.045 1
0.3%
97.04 1
0.3%
97.037 1
0.3%
96.97 1
0.3%
96.964 1
0.3%
96.943 1
0.3%

2020-09
Real number (ℝ)

Distinct292
Distinct (%)97.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean93.861453
Minimum87.057
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:22.813687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.057
5-th percentile90.2178
Q192.5125
median93.8815
Q395.57375
95-th percentile96.7583
Maximum98.6
Range11.543
Interquartile range (IQR)3.06125

Descriptive statistics

Standard deviation2.0557138
Coefficient of variation (CV)0.021901576
Kurtosis-0.2692331
Mean93.861453
Median Absolute Deviation (MAD)1.5355
Skewness-0.40382792
Sum28158.436
Variance4.2259591
MonotonicityNot monotonic
2024-04-18T10:54:22.929776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.872 2
 
0.7%
92.603 2
 
0.7%
96.956 2
 
0.7%
96.336 2
 
0.7%
90.855 2
 
0.7%
93.04 2
 
0.7%
93.693 2
 
0.7%
92.377 2
 
0.7%
94.992 1
 
0.3%
95.142 1
 
0.3%
Other values (282) 282
93.7%
ValueCountFrequency (%)
87.057 1
0.3%
88.209 1
0.3%
88.668 1
0.3%
88.876 1
0.3%
89.025 1
0.3%
89.292 1
0.3%
89.364 1
0.3%
89.522 1
0.3%
89.627 1
0.3%
89.686 1
0.3%
ValueCountFrequency (%)
98.6 1
0.3%
97.936 1
0.3%
97.373 1
0.3%
97.151 1
0.3%
97.137 1
0.3%
97.103 1
0.3%
97.098 1
0.3%
97.076 1
0.3%
97.051 1
0.3%
96.988 1
0.3%

2020-10
Real number (ℝ)

Distinct290
Distinct (%)96.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean94.08132
Minimum87.994
Maximum98.541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:23.053737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.994
5-th percentile90.50235
Q192.7705
median94.121
Q395.75675
95-th percentile96.84255
Maximum98.541
Range10.547
Interquartile range (IQR)2.98625

Descriptive statistics

Standard deviation1.9639365
Coefficient of variation (CV)0.020874882
Kurtosis-0.32403625
Mean94.08132
Median Absolute Deviation (MAD)1.475
Skewness-0.40658121
Sum28224.396
Variance3.8570465
MonotonicityNot monotonic
2024-04-18T10:54:23.892978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.894 2
 
0.7%
96.251 2
 
0.7%
93.559 2
 
0.7%
96.209 2
 
0.7%
96.763 2
 
0.7%
93.452 2
 
0.7%
93.793 2
 
0.7%
96.168 2
 
0.7%
94.621 2
 
0.7%
92.244 2
 
0.7%
Other values (280) 280
93.0%
ValueCountFrequency (%)
87.994 1
0.3%
88.786 1
0.3%
89.074 1
0.3%
89.317 1
0.3%
89.361 1
0.3%
89.617 1
0.3%
89.641 1
0.3%
89.894 1
0.3%
89.969 1
0.3%
89.989 1
0.3%
ValueCountFrequency (%)
98.541 1
0.3%
97.946 1
0.3%
97.438 1
0.3%
97.25 1
0.3%
97.241 1
0.3%
97.22 1
0.3%
97.188 1
0.3%
97.175 1
0.3%
97.133 1
0.3%
97.029 1
0.3%

2020-11
Real number (ℝ)

Distinct294
Distinct (%)98.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean94.324597
Minimum89.207
Maximum98.495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:24.005960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.207
5-th percentile91.079
Q193.07875
median94.364
Q395.847
95-th percentile96.99555
Maximum98.495
Range9.288
Interquartile range (IQR)2.76825

Descriptive statistics

Standard deviation1.8637774
Coefficient of variation (CV)0.019759188
Kurtosis-0.38535771
Mean94.324597
Median Absolute Deviation (MAD)1.403
Skewness-0.40711621
Sum28297.379
Variance3.4736663
MonotonicityNot monotonic
2024-04-18T10:54:24.112724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.559 2
 
0.7%
96.242 2
 
0.7%
96.033 2
 
0.7%
96.186 2
 
0.7%
93.672 2
 
0.7%
94.797 2
 
0.7%
94.919 1
 
0.3%
94.853 1
 
0.3%
94.904 1
 
0.3%
95.019 1
 
0.3%
Other values (284) 284
94.4%
ValueCountFrequency (%)
89.207 1
0.3%
89.361 1
0.3%
89.448 1
0.3%
89.713 1
0.3%
89.879 1
0.3%
89.882 1
0.3%
90.042 1
0.3%
90.335 1
0.3%
90.364 1
0.3%
90.453 1
0.3%
ValueCountFrequency (%)
98.495 1
0.3%
97.944 1
0.3%
97.508 1
0.3%
97.402 1
0.3%
97.356 1
0.3%
97.311 1
0.3%
97.3 1
0.3%
97.25 1
0.3%
97.2 1
0.3%
97.128 1
0.3%

2020-12
Real number (ℝ)

Distinct292
Distinct (%)97.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean94.586337
Minimum89.881
Maximum98.459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:24.221099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.881
5-th percentile91.45545
Q193.39125
median94.6405
Q396.0805
95-th percentile97.12765
Maximum98.459
Range8.578
Interquartile range (IQR)2.68925

Descriptive statistics

Standard deviation1.7682033
Coefficient of variation (CV)0.018694067
Kurtosis-0.40480232
Mean94.586337
Median Absolute Deviation (MAD)1.3195
Skewness-0.41748693
Sum28375.901
Variance3.126543
MonotonicityNot monotonic
2024-04-18T10:54:24.335478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.289 2
 
0.7%
97.41 2
 
0.7%
96.182 2
 
0.7%
94.484 2
 
0.7%
95.706 2
 
0.7%
94.695 2
 
0.7%
94.658 2
 
0.7%
93.815 2
 
0.7%
95.249 1
 
0.3%
95.747 1
 
0.3%
Other values (282) 282
93.7%
ValueCountFrequency (%)
89.881 1
0.3%
89.902 1
0.3%
90.131 1
0.3%
90.16 1
0.3%
90.191 1
0.3%
90.442 1
0.3%
90.462 1
0.3%
90.83 1
0.3%
90.834 1
0.3%
90.924 1
0.3%
ValueCountFrequency (%)
98.459 1
0.3%
97.997 1
0.3%
97.575 1
0.3%
97.52 1
0.3%
97.467 1
0.3%
97.41 2
0.7%
97.312 1
0.3%
97.31 1
0.3%
97.251 1
0.3%
97.245 1
0.3%

2021-01
Real number (ℝ)

Distinct292
Distinct (%)97.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean94.822177
Minimum90.398
Maximum98.422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:24.449913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.398
5-th percentile91.763
Q193.69975
median94.89
Q396.1795
95-th percentile97.2412
Maximum98.422
Range8.024
Interquartile range (IQR)2.47975

Descriptive statistics

Standard deviation1.6843353
Coefficient of variation (CV)0.017763095
Kurtosis-0.40648124
Mean94.822177
Median Absolute Deviation (MAD)1.2585
Skewness-0.42753997
Sum28446.653
Variance2.8369855
MonotonicityNot monotonic
2024-04-18T10:54:24.576261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.863 2
 
0.7%
96.698 2
 
0.7%
96.265 2
 
0.7%
93.951 2
 
0.7%
93.596 2
 
0.7%
95.235 2
 
0.7%
94.396 2
 
0.7%
96.17 2
 
0.7%
96.145 1
 
0.3%
95.469 1
 
0.3%
Other values (282) 282
93.7%
ValueCountFrequency (%)
90.398 1
0.3%
90.448 1
0.3%
90.473 1
0.3%
90.511 1
0.3%
90.817 1
0.3%
90.859 1
0.3%
90.928 1
0.3%
91.266 1
0.3%
91.268 1
0.3%
91.307 1
0.3%
ValueCountFrequency (%)
98.422 1
0.3%
98.053 1
0.3%
97.67 1
0.3%
97.627 1
0.3%
97.567 1
0.3%
97.521 1
0.3%
97.509 1
0.3%
97.433 1
0.3%
97.39 1
0.3%
97.384 1
0.3%

2021-02
Real number (ℝ)

Distinct296
Distinct (%)98.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean95.05582
Minimum90.832
Maximum98.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:24.728713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.832
5-th percentile92.13495
Q193.98675
median95.1295
Q396.3625
95-th percentile97.33855
Maximum98.42
Range7.588
Interquartile range (IQR)2.37575

Descriptive statistics

Standard deviation1.5993455
Coefficient of variation (CV)0.01682533
Kurtosis-0.4039724
Mean95.05582
Median Absolute Deviation (MAD)1.1895
Skewness-0.43155289
Sum28516.746
Variance2.557906
MonotonicityNot monotonic
2024-04-18T10:54:24.846243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.338 2
 
0.7%
96.161 2
 
0.7%
96.637 2
 
0.7%
93.994 2
 
0.7%
93.987 1
 
0.3%
96.709 1
 
0.3%
95.559 1
 
0.3%
95.491 1
 
0.3%
95.542 1
 
0.3%
95.692 1
 
0.3%
Other values (286) 286
95.0%
ValueCountFrequency (%)
90.832 1
0.3%
90.887 1
0.3%
90.913 1
0.3%
91.069 1
0.3%
91.172 1
0.3%
91.265 1
0.3%
91.524 1
0.3%
91.658 1
0.3%
91.666 1
0.3%
91.701 1
0.3%
ValueCountFrequency (%)
98.42 1
0.3%
98.097 1
0.3%
97.757 1
0.3%
97.736 1
0.3%
97.685 1
0.3%
97.64 1
0.3%
97.609 1
0.3%
97.557 1
0.3%
97.532 1
0.3%
97.467 1
0.3%

2021-03
Real number (ℝ)

Distinct291
Distinct (%)97.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean95.320293
Minimum91.317
Maximum98.417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:24.966270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.317
5-th percentile92.51715
Q194.32375
median95.415
Q396.561
95-th percentile97.50845
Maximum98.417
Range7.1
Interquartile range (IQR)2.23725

Descriptive statistics

Standard deviation1.5194205
Coefficient of variation (CV)0.015940158
Kurtosis-0.40251391
Mean95.320293
Median Absolute Deviation (MAD)1.122
Skewness-0.44132412
Sum28596.088
Variance2.3086387
MonotonicityNot monotonic
2024-04-18T10:54:25.096200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.653 2
 
0.7%
95.521 2
 
0.7%
93.681 2
 
0.7%
96.902 2
 
0.7%
94.908 2
 
0.7%
96.602 2
 
0.7%
93.842 2
 
0.7%
96.173 2
 
0.7%
94.511 2
 
0.7%
96.413 1
 
0.3%
Other values (281) 281
93.4%
ValueCountFrequency (%)
91.317 1
0.3%
91.405 1
0.3%
91.416 1
0.3%
91.545 1
0.3%
91.549 1
0.3%
91.656 1
0.3%
92.012 1
0.3%
92.087 1
0.3%
92.15 1
0.3%
92.157 1
0.3%
ValueCountFrequency (%)
98.417 1
0.3%
98.173 1
0.3%
97.892 1
0.3%
97.882 1
0.3%
97.813 1
0.3%
97.766 1
0.3%
97.758 1
0.3%
97.705 1
0.3%
97.693 1
0.3%
97.611 1
0.3%

2021-04
Real number (ℝ)

Distinct289
Distinct (%)96.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean95.592277
Minimum91.801
Maximum98.418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:25.212480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.801
5-th percentile92.93035
Q194.667
median95.703
Q396.757
95-th percentile97.6518
Maximum98.418
Range6.617
Interquartile range (IQR)2.09

Descriptive statistics

Standard deviation1.43372
Coefficient of variation (CV)0.014998283
Kurtosis-0.38497308
Mean95.592277
Median Absolute Deviation (MAD)1.055
Skewness-0.44914718
Sum28677.683
Variance2.055553
MonotonicityNot monotonic
2024-04-18T10:54:25.326644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.937 3
 
1.0%
95.069 2
 
0.7%
94.846 2
 
0.7%
96.873 2
 
0.7%
96.068 2
 
0.7%
95.805 2
 
0.7%
93.611 2
 
0.7%
95.337 2
 
0.7%
96.216 2
 
0.7%
96.987 2
 
0.7%
Other values (279) 279
92.7%
ValueCountFrequency (%)
91.801 1
0.3%
91.921 1
0.3%
91.96 1
0.3%
91.97 1
0.3%
91.979 1
0.3%
92.068 1
0.3%
92.392 1
0.3%
92.614 1
0.3%
92.63 1
0.3%
92.733 1
0.3%
ValueCountFrequency (%)
98.418 1
0.3%
98.323 1
0.3%
98.049 1
0.3%
97.996 1
0.3%
97.955 1
0.3%
97.93 1
0.3%
97.896 1
0.3%
97.851 1
0.3%
97.842 1
0.3%
97.775 1
0.3%

2021-05
Real number (ℝ)

Distinct290
Distinct (%)96.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean95.859
Minimum92.237
Maximum98.441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:25.448469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.237
5-th percentile93.3527
Q194.9925
median95.97
Q396.9425
95-th percentile97.79025
Maximum98.441
Range6.204
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.3473227
Coefficient of variation (CV)0.014055255
Kurtosis-0.36777625
Mean95.859
Median Absolute Deviation (MAD)0.979
Skewness-0.45481955
Sum28757.7
Variance1.8152785
MonotonicityNot monotonic
2024-04-18T10:54:25.564085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.802 2
 
0.7%
96.304 2
 
0.7%
97.066 2
 
0.7%
97.074 2
 
0.7%
95.058 2
 
0.7%
96.843 2
 
0.7%
94.384 2
 
0.7%
94.495 2
 
0.7%
95.278 2
 
0.7%
95.647 2
 
0.7%
Other values (280) 280
93.0%
ValueCountFrequency (%)
92.237 1
0.3%
92.383 1
0.3%
92.402 1
0.3%
92.446 1
0.3%
92.534 1
0.3%
92.548 1
0.3%
92.777 1
0.3%
93.04 1
0.3%
93.172 1
0.3%
93.177 1
0.3%
ValueCountFrequency (%)
98.441 1
0.3%
98.421 1
0.3%
98.204 1
0.3%
98.136 1
0.3%
98.107 1
0.3%
98.052 1
0.3%
98.022 1
0.3%
97.993 1
0.3%
97.992 1
0.3%
97.928 1
0.3%

2021-06
Real number (ℝ)

Distinct289
Distinct (%)96.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean96.128877
Minimum92.67
Maximum98.585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:25.678213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.67
5-th percentile93.82975
Q195.314
median96.2295
Q397.1455
95-th percentile97.9466
Maximum98.585
Range5.915
Interquartile range (IQR)1.8315

Descriptive statistics

Standard deviation1.2572234
Coefficient of variation (CV)0.013078519
Kurtosis-0.35941998
Mean96.128877
Median Absolute Deviation (MAD)0.9165
Skewness-0.44972341
Sum28838.663
Variance1.5806106
MonotonicityNot monotonic
2024-04-18T10:54:25.789051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.224 3
 
1.0%
97.455 2
 
0.7%
97.234 2
 
0.7%
96.395 2
 
0.7%
96.22 2
 
0.7%
97.377 2
 
0.7%
98.139 2
 
0.7%
96.148 2
 
0.7%
96.731 2
 
0.7%
96.861 2
 
0.7%
Other values (279) 279
92.7%
ValueCountFrequency (%)
92.67 1
0.3%
92.832 1
0.3%
92.908 1
0.3%
92.915 1
0.3%
93.06 1
0.3%
93.086 1
0.3%
93.328 1
0.3%
93.48 1
0.3%
93.587 1
0.3%
93.622 1
0.3%
ValueCountFrequency (%)
98.585 1
0.3%
98.426 1
0.3%
98.349 1
0.3%
98.336 1
0.3%
98.231 1
0.3%
98.194 1
0.3%
98.146 1
0.3%
98.139 2
0.7%
98.051 1
0.3%
97.979 1
0.3%

2021-07
Real number (ℝ)

Distinct289
Distinct (%)96.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean96.40283
Minimum93.125
Maximum98.766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:25.908709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.125
5-th percentile94.26965
Q195.65
median96.53
Q397.33675
95-th percentile98.0767
Maximum98.766
Range5.641
Interquartile range (IQR)1.68675

Descriptive statistics

Standard deviation1.1632647
Coefficient of variation (CV)0.012066707
Kurtosis-0.33393831
Mean96.40283
Median Absolute Deviation (MAD)0.8675
Skewness-0.45060836
Sum28920.849
Variance1.3531847
MonotonicityNot monotonic
2024-04-18T10:54:26.019062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.379 2
 
0.7%
97.437 2
 
0.7%
96.785 2
 
0.7%
95.972 2
 
0.7%
97.416 2
 
0.7%
95.971 2
 
0.7%
97.178 2
 
0.7%
98.286 2
 
0.7%
96.667 2
 
0.7%
97.173 2
 
0.7%
Other values (279) 280
93.0%
ValueCountFrequency (%)
93.125 1
0.3%
93.298 1
0.3%
93.362 1
0.3%
93.43 1
0.3%
93.569 1
0.3%
93.722 1
0.3%
93.899 1
0.3%
93.924 1
0.3%
94.005 1
0.3%
94.086 1
0.3%
ValueCountFrequency (%)
98.766 1
0.3%
98.528 1
0.3%
98.48 1
0.3%
98.436 1
0.3%
98.337 1
0.3%
98.315 1
0.3%
98.286 2
0.7%
98.257 1
0.3%
98.179 1
0.3%
98.126 1
0.3%

2021-08
Real number (ℝ)

Distinct291
Distinct (%)97.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean96.679983
Minimum93.589
Maximum98.966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:26.135488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.589
5-th percentile94.68935
Q195.99575
median96.777
Q397.53925
95-th percentile98.23015
Maximum98.966
Range5.377
Interquartile range (IQR)1.5435

Descriptive statistics

Standard deviation1.0654763
Coefficient of variation (CV)0.011020651
Kurtosis-0.32047934
Mean96.679983
Median Absolute Deviation (MAD)0.7805
Skewness-0.44298967
Sum29003.995
Variance1.1352398
MonotonicityNot monotonic
2024-04-18T10:54:26.255814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.731 2
 
0.7%
97.168 2
 
0.7%
97.373 2
 
0.7%
97.323 2
 
0.7%
96.232 2
 
0.7%
97.713 2
 
0.7%
97.584 2
 
0.7%
96.025 2
 
0.7%
97.003 2
 
0.7%
97.39 1
 
0.3%
Other values (281) 281
93.4%
ValueCountFrequency (%)
93.589 1
0.3%
93.87 1
0.3%
93.919 1
0.3%
94.044 1
0.3%
94.148 1
0.3%
94.295 1
0.3%
94.37 1
0.3%
94.421 1
0.3%
94.431 1
0.3%
94.535 1
0.3%
ValueCountFrequency (%)
98.966 1
0.3%
98.697 1
0.3%
98.612 1
0.3%
98.468 1
0.3%
98.452 1
0.3%
98.444 1
0.3%
98.433 1
0.3%
98.411 1
0.3%
98.371 1
0.3%
98.334 1
0.3%

2021-09
Real number (ℝ)

Distinct282
Distinct (%)94.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean96.95313
Minimum94.079
Maximum99.067
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:26.378373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.079
5-th percentile95.1738
Q196.33875
median97.047
Q397.757
95-th percentile98.35425
Maximum99.067
Range4.988
Interquartile range (IQR)1.41825

Descriptive statistics

Standard deviation0.96452697
Coefficient of variation (CV)0.0099483841
Kurtosis-0.30590475
Mean96.95313
Median Absolute Deviation (MAD)0.711
Skewness-0.43265791
Sum29085.939
Variance0.93031228
MonotonicityNot monotonic
2024-04-18T10:54:26.506481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.388 3
 
1.0%
97.911 2
 
0.7%
96.98 2
 
0.7%
96.996 2
 
0.7%
97.768 2
 
0.7%
97.889 2
 
0.7%
97.05 2
 
0.7%
97.212 2
 
0.7%
97.358 2
 
0.7%
97.371 2
 
0.7%
Other values (272) 279
92.7%
ValueCountFrequency (%)
94.079 1
0.3%
94.392 1
0.3%
94.472 1
0.3%
94.682 1
0.3%
94.76 1
0.3%
94.823 1
0.3%
94.846 1
0.3%
94.868 1
0.3%
94.883 1
0.3%
94.921 1
0.3%
ValueCountFrequency (%)
99.067 1
0.3%
98.78 1
0.3%
98.756 1
0.3%
98.571 1
0.3%
98.568 1
0.3%
98.552 1
0.3%
98.521 1
0.3%
98.512 1
0.3%
98.486 1
0.3%
98.482 1
0.3%

2021-10
Real number (ℝ)

Distinct283
Distinct (%)94.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.216967
Minimum94.561
Maximum99.121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:26.620753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.561
5-th percentile95.6473
Q196.6805
median97.284
Q397.935
95-th percentile98.4678
Maximum99.121
Range4.56
Interquartile range (IQR)1.2545

Descriptive statistics

Standard deviation0.8663403
Coefficient of variation (CV)0.0089114105
Kurtosis-0.26522197
Mean97.216967
Median Absolute Deviation (MAD)0.6295
Skewness-0.43300277
Sum29165.09
Variance0.75054552
MonotonicityNot monotonic
2024-04-18T10:54:26.735383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.153 2
 
0.7%
97.741 2
 
0.7%
97.808 2
 
0.7%
97.935 2
 
0.7%
96.856 2
 
0.7%
97.941 2
 
0.7%
96.911 2
 
0.7%
95.765 2
 
0.7%
98.036 2
 
0.7%
96.832 2
 
0.7%
Other values (273) 280
93.0%
ValueCountFrequency (%)
94.561 1
0.3%
94.873 1
0.3%
95.001 1
0.3%
95.139 1
0.3%
95.146 1
0.3%
95.309 1
0.3%
95.356 1
0.3%
95.403 1
0.3%
95.404 1
0.3%
95.424 1
0.3%
ValueCountFrequency (%)
99.121 1
0.3%
98.883 1
0.3%
98.846 1
0.3%
98.696 1
0.3%
98.684 1
0.3%
98.664 1
0.3%
98.611 1
0.3%
98.609 1
0.3%
98.601 1
0.3%
98.583 1
0.3%

2021-11
Real number (ℝ)

Distinct283
Distinct (%)94.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.48311
Minimum95.12
Maximum99.148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:26.856329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.12
5-th percentile96.10075
Q197.00275
median97.548
Q398.08225
95-th percentile98.5779
Maximum99.148
Range4.028
Interquartile range (IQR)1.0795

Descriptive statistics

Standard deviation0.76780494
Coefficient of variation (CV)0.0078762869
Kurtosis-0.28274068
Mean97.48311
Median Absolute Deviation (MAD)0.5385
Skewness-0.41906727
Sum29244.933
Variance0.58952443
MonotonicityNot monotonic
2024-04-18T10:54:26.978726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.015 2
 
0.7%
97.473 2
 
0.7%
98.266 2
 
0.7%
97.273 2
 
0.7%
98.236 2
 
0.7%
96.882 2
 
0.7%
97.49 2
 
0.7%
96.752 2
 
0.7%
97.499 2
 
0.7%
96.503 2
 
0.7%
Other values (273) 280
93.0%
ValueCountFrequency (%)
95.12 1
0.3%
95.423 1
0.3%
95.559 1
0.3%
95.646 1
0.3%
95.766 1
0.3%
95.787 1
0.3%
95.822 1
0.3%
95.837 1
0.3%
95.845 1
0.3%
95.91 1
0.3%
ValueCountFrequency (%)
99.148 1
0.3%
98.966 1
0.3%
98.914 1
0.3%
98.815 1
0.3%
98.8 1
0.3%
98.777 1
0.3%
98.729 1
0.3%
98.716 1
0.3%
98.714 1
0.3%
98.654 1
0.3%

2021-12
Real number (ℝ)

Distinct284
Distinct (%)94.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.748073
Minimum95.695
Maximum99.163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:27.107160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.695
5-th percentile96.5167
Q197.3025
median97.8135
Q398.26575
95-th percentile98.72705
Maximum99.163
Range3.468
Interquartile range (IQR)0.96325

Descriptive statistics

Standard deviation0.67338453
Coefficient of variation (CV)0.0068889801
Kurtosis-0.31871038
Mean97.748073
Median Absolute Deviation (MAD)0.476
Skewness-0.40902636
Sum29324.422
Variance0.45344672
MonotonicityNot monotonic
2024-04-18T10:54:27.248403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.479 2
 
0.7%
97.242 2
 
0.7%
97.115 2
 
0.7%
98.02 2
 
0.7%
97.748 2
 
0.7%
97.371 2
 
0.7%
98.317 2
 
0.7%
97.835 2
 
0.7%
98.071 2
 
0.7%
98.662 2
 
0.7%
Other values (274) 280
93.0%
ValueCountFrequency (%)
95.695 1
0.3%
95.973 1
0.3%
96.046 1
0.3%
96.057 1
0.3%
96.235 1
0.3%
96.273 1
0.3%
96.275 1
0.3%
96.331 1
0.3%
96.4 1
0.3%
96.412 1
0.3%
ValueCountFrequency (%)
99.163 1
0.3%
99.018 1
0.3%
98.986 1
0.3%
98.957 1
0.3%
98.892 1
0.3%
98.861 1
0.3%
98.86 1
0.3%
98.815 1
0.3%
98.814 1
0.3%
98.789 1
0.3%

2022-01
Real number (ℝ)

Distinct277
Distinct (%)92.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean97.984193
Minimum96.181
Maximum99.191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:27.369295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.181
5-th percentile96.9175
Q197.59625
median98.043
Q398.43475
95-th percentile98.8644
Maximum99.191
Range3.01
Interquartile range (IQR)0.8385

Descriptive statistics

Standard deviation0.58899843
Coefficient of variation (CV)0.0060111576
Kurtosis-0.3381996
Mean97.984193
Median Absolute Deviation (MAD)0.419
Skewness-0.38836725
Sum29395.258
Variance0.34691915
MonotonicityNot monotonic
2024-04-18T10:54:27.481436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.837 4
 
1.3%
98.645 2
 
0.7%
98.469 2
 
0.7%
98.344 2
 
0.7%
97.297 2
 
0.7%
98.443 2
 
0.7%
98.25 2
 
0.7%
97.709 2
 
0.7%
97.653 2
 
0.7%
98.394 2
 
0.7%
Other values (267) 278
92.4%
ValueCountFrequency (%)
96.181 1
0.3%
96.446 1
0.3%
96.46 1
0.3%
96.544 1
0.3%
96.68 1
0.3%
96.699 1
0.3%
96.716 1
0.3%
96.73 1
0.3%
96.812 1
0.3%
96.83 1
0.3%
ValueCountFrequency (%)
99.191 1
0.3%
99.097 1
0.3%
99.06 1
0.3%
99.051 1
0.3%
98.999 1
0.3%
98.981 1
0.3%
98.941 1
0.3%
98.933 1
0.3%
98.916 2
0.7%
98.908 1
0.3%

2022-02
Real number (ℝ)

Distinct280
Distinct (%)93.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean98.219683
Minimum96.607
Maximum99.243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:27.611468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.607
5-th percentile97.29175
Q197.87925
median98.2685
Q398.59825
95-th percentile98.98205
Maximum99.243
Range2.636
Interquartile range (IQR)0.719

Descriptive statistics

Standard deviation0.51094186
Coefficient of variation (CV)0.0052020312
Kurtosis-0.32229364
Mean98.219683
Median Absolute Deviation (MAD)0.363
Skewness-0.39217435
Sum29465.905
Variance0.26106158
MonotonicityNot monotonic
2024-04-18T10:54:27.735049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.867 2
 
0.7%
97.614 2
 
0.7%
97.957 2
 
0.7%
98.361 2
 
0.7%
98.261 2
 
0.7%
97.947 2
 
0.7%
98.602 2
 
0.7%
97.847 2
 
0.7%
97.782 2
 
0.7%
98.672 2
 
0.7%
Other values (270) 280
93.0%
ValueCountFrequency (%)
96.607 1
0.3%
96.875 1
0.3%
96.919 1
0.3%
97.015 1
0.3%
97.053 1
0.3%
97.104 1
0.3%
97.121 1
0.3%
97.178 1
0.3%
97.186 1
0.3%
97.207 1
0.3%
ValueCountFrequency (%)
99.243 1
0.3%
99.188 1
0.3%
99.155 1
0.3%
99.123 1
0.3%
99.109 1
0.3%
99.105 1
0.3%
99.043 1
0.3%
99.034 1
0.3%
99.033 2
0.7%
99.02 1
0.3%

2022-03
Real number (ℝ)

Distinct274
Distinct (%)91.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean98.475703
Minimum97.064
Maximum99.394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:27.851115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.064
5-th percentile97.7
Q198.1825
median98.5105
Q398.79875
95-th percentile99.1273
Maximum99.394
Range2.33
Interquartile range (IQR)0.61625

Descriptive statistics

Standard deviation0.43865823
Coefficient of variation (CV)0.0044544818
Kurtosis-0.27631685
Mean98.475703
Median Absolute Deviation (MAD)0.316
Skewness-0.39846505
Sum29542.711
Variance0.19242105
MonotonicityNot monotonic
2024-04-18T10:54:27.964056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.478 4
 
1.3%
98.587 2
 
0.7%
98.678 2
 
0.7%
97.722 2
 
0.7%
98.105 2
 
0.7%
98.966 2
 
0.7%
97.7 2
 
0.7%
98.912 2
 
0.7%
99.009 2
 
0.7%
98.085 2
 
0.7%
Other values (264) 278
92.4%
ValueCountFrequency (%)
97.064 1
0.3%
97.282 1
0.3%
97.351 1
0.3%
97.447 1
0.3%
97.464 1
0.3%
97.5 1
0.3%
97.538 1
0.3%
97.557 1
0.3%
97.608 1
0.3%
97.61 1
0.3%
ValueCountFrequency (%)
99.394 1
0.3%
99.316 1
0.3%
99.285 1
0.3%
99.259 1
0.3%
99.234 1
0.3%
99.202 1
0.3%
99.199 1
0.3%
99.182 1
0.3%
99.178 1
0.3%
99.164 1
0.3%

2022-04
Real number (ℝ)

Distinct260
Distinct (%)86.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean98.734233
Minimum97.533
Maximum99.547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:28.078225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.533
5-th percentile98.1006
Q198.492
median98.7705
Q399.008
95-th percentile99.2641
Maximum99.547
Range2.014
Interquartile range (IQR)0.516

Descriptive statistics

Standard deviation0.36272999
Coefficient of variation (CV)0.0036738016
Kurtosis-0.17686092
Mean98.734233
Median Absolute Deviation (MAD)0.257
Skewness-0.43678527
Sum29620.27
Variance0.13157304
MonotonicityNot monotonic
2024-04-18T10:54:28.197079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.072 3
 
1.0%
98.831 3
 
1.0%
99.266 2
 
0.7%
98.881 2
 
0.7%
98.931 2
 
0.7%
98.211 2
 
0.7%
98.742 2
 
0.7%
98.154 2
 
0.7%
98.628 2
 
0.7%
98.88 2
 
0.7%
Other values (250) 278
92.4%
ValueCountFrequency (%)
97.533 1
0.3%
97.729 1
0.3%
97.784 1
0.3%
97.796 1
0.3%
97.891 1
0.3%
97.925 1
0.3%
97.96 1
0.3%
97.999 1
0.3%
98.007 1
0.3%
98.008 1
0.3%
ValueCountFrequency (%)
99.547 1
0.3%
99.4 1
0.3%
99.392 1
0.3%
99.372 1
0.3%
99.363 1
0.3%
99.343 1
0.3%
99.315 1
0.3%
99.31 1
0.3%
99.304 1
0.3%
99.283 2
0.7%

2022-05
Real number (ℝ)

Distinct264
Distinct (%)88.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.00105
Minimum98.018
Maximum99.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:28.314984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.018
5-th percentile98.5144
Q198.798
median99.0275
Q399.214
95-th percentile99.3984
Maximum99.696
Range1.678
Interquartile range (IQR)0.416

Descriptive statistics

Standard deviation0.28256868
Coefficient of variation (CV)0.0028541988
Kurtosis-0.025954632
Mean99.00105
Median Absolute Deviation (MAD)0.204
Skewness-0.48864011
Sum29700.315
Variance0.079845058
MonotonicityNot monotonic
2024-04-18T10:54:28.434151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.193 4
 
1.3%
98.987 3
 
1.0%
99.093 3
 
1.0%
99.039 2
 
0.7%
99.066 2
 
0.7%
98.611 2
 
0.7%
99.001 2
 
0.7%
99.328 2
 
0.7%
99.136 2
 
0.7%
99.313 2
 
0.7%
Other values (254) 276
91.7%
ValueCountFrequency (%)
98.018 1
0.3%
98.178 1
0.3%
98.233 1
0.3%
98.264 1
0.3%
98.336 1
0.3%
98.393 1
0.3%
98.399 1
0.3%
98.4 1
0.3%
98.404 1
0.3%
98.44 1
0.3%
ValueCountFrequency (%)
99.696 1
0.3%
99.504 1
0.3%
99.496 1
0.3%
99.483 1
0.3%
99.481 1
0.3%
99.48 1
0.3%
99.452 1
0.3%
99.442 1
0.3%
99.429 1
0.3%
99.428 1
0.3%

2022-06
Real number (ℝ)

Distinct239
Distinct (%)79.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.258377
Minimum98.511
Maximum99.846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:28.556137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.511
5-th percentile98.89375
Q199.107
median99.285
Q399.4175
95-th percentile99.545
Maximum99.846
Range1.335
Interquartile range (IQR)0.3105

Descriptive statistics

Standard deviation0.20918316
Coefficient of variation (CV)0.002107461
Kurtosis0.18418973
Mean99.258377
Median Absolute Deviation (MAD)0.1505
Skewness-0.53031619
Sum29777.513
Variance0.043757593
MonotonicityNot monotonic
2024-04-18T10:54:28.682651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.28 3
 
1.0%
99.364 3
 
1.0%
99.586 3
 
1.0%
99.126 3
 
1.0%
99.315 3
 
1.0%
99.474 3
 
1.0%
99.472 3
 
1.0%
99.179 2
 
0.7%
99.188 2
 
0.7%
99.107 2
 
0.7%
Other values (229) 273
90.7%
ValueCountFrequency (%)
98.511 1
0.3%
98.591 1
0.3%
98.663 1
0.3%
98.718 1
0.3%
98.77 1
0.3%
98.782 1
0.3%
98.792 1
0.3%
98.795 1
0.3%
98.854 2
0.7%
98.866 1
0.3%
ValueCountFrequency (%)
99.846 1
 
0.3%
99.622 1
 
0.3%
99.609 1
 
0.3%
99.607 1
 
0.3%
99.592 1
 
0.3%
99.586 3
1.0%
99.574 2
0.7%
99.569 1
 
0.3%
99.564 2
0.7%
99.563 1
 
0.3%

2022-07
Real number (ℝ)

Distinct222
Distinct (%)74.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.50271
Minimum98.97
Maximum99.958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:28.820151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.97
5-th percentile99.269
Q199.401
median99.5205
Q399.60975
95-th percentile99.7105
Maximum99.958
Range0.988
Interquartile range (IQR)0.20875

Descriptive statistics

Standard deviation0.146265
Coefficient of variation (CV)0.00146996
Kurtosis0.52643413
Mean99.50271
Median Absolute Deviation (MAD)0.0975
Skewness-0.51624843
Sum29850.813
Variance0.021393451
MonotonicityNot monotonic
2024-04-18T10:54:28.952097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.552 5
 
1.7%
99.318 5
 
1.7%
99.637 3
 
1.0%
99.615 3
 
1.0%
99.726 3
 
1.0%
99.574 3
 
1.0%
99.614 3
 
1.0%
99.609 3
 
1.0%
99.388 3
 
1.0%
99.401 3
 
1.0%
Other values (212) 266
88.4%
ValueCountFrequency (%)
98.97 1
0.3%
99.001 1
0.3%
99.068 1
0.3%
99.129 1
0.3%
99.134 1
0.3%
99.155 1
0.3%
99.165 1
0.3%
99.195 1
0.3%
99.214 1
0.3%
99.226 1
0.3%
ValueCountFrequency (%)
99.958 1
 
0.3%
99.81 1
 
0.3%
99.78 1
 
0.3%
99.753 2
0.7%
99.744 1
 
0.3%
99.741 1
 
0.3%
99.736 1
 
0.3%
99.732 1
 
0.3%
99.728 1
 
0.3%
99.726 3
1.0%

2022-08
Real number (ℝ)

Distinct203
Distinct (%)67.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.726823
Minimum99.374
Maximum100.061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:29.068817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.374
5-th percentile99.5679
Q199.6635
median99.732
Q399.786
95-th percentile99.8711
Maximum100.061
Range0.687
Interquartile range (IQR)0.1225

Descriptive statistics

Standard deviation0.10046137
Coefficient of variation (CV)0.0010073656
Kurtosis1.3514816
Mean99.726823
Median Absolute Deviation (MAD)0.0625
Skewness0.13983648
Sum29918.047
Variance0.010092487
MonotonicityNot monotonic
2024-04-18T10:54:29.188295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.8 5
 
1.7%
99.777 5
 
1.7%
99.749 5
 
1.7%
99.732 4
 
1.3%
99.728 3
 
1.0%
99.765 3
 
1.0%
99.697 3
 
1.0%
99.657 3
 
1.0%
99.768 3
 
1.0%
99.807 3
 
1.0%
Other values (193) 263
87.4%
ValueCountFrequency (%)
99.374 1
0.3%
99.426 1
0.3%
99.476 1
0.3%
99.479 1
0.3%
99.508 1
0.3%
99.511 1
0.3%
99.512 1
0.3%
99.529 1
0.3%
99.534 1
0.3%
99.54 1
0.3%
ValueCountFrequency (%)
100.061 1
0.3%
100.059 1
0.3%
100.04 1
0.3%
100.029 1
0.3%
100.012 1
0.3%
99.984 1
0.3%
99.977 1
0.3%
99.963 1
0.3%
99.953 1
0.3%
99.92 1
0.3%

2022-09
Real number (ℝ)

Distinct158
Distinct (%)52.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.899267
Minimum99.7
Maximum100.117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:29.304682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.7
5-th percentile99.812
Q199.862
median99.889
Q399.92925
95-th percentile100.03415
Maximum100.117
Range0.417
Interquartile range (IQR)0.06725

Descriptive statistics

Standard deviation0.063602567
Coefficient of variation (CV)0.000636667
Kurtosis1.5939348
Mean99.899267
Median Absolute Deviation (MAD)0.032
Skewness0.89065013
Sum29969.78
Variance0.0040452865
MonotonicityNot monotonic
2024-04-18T10:54:29.437847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.874 6
 
2.0%
99.865 6
 
2.0%
99.873 6
 
2.0%
99.864 6
 
2.0%
99.899 5
 
1.7%
99.889 5
 
1.7%
99.862 4
 
1.3%
99.894 4
 
1.3%
99.893 4
 
1.3%
99.906 4
 
1.3%
Other values (148) 250
83.1%
ValueCountFrequency (%)
99.7 1
0.3%
99.732 1
0.3%
99.784 1
0.3%
99.785 1
0.3%
99.79 1
0.3%
99.792 1
0.3%
99.798 1
0.3%
99.803 1
0.3%
99.804 1
0.3%
99.805 1
0.3%
ValueCountFrequency (%)
100.117 1
0.3%
100.106 1
0.3%
100.095 1
0.3%
100.094 1
0.3%
100.084 1
0.3%
100.082 1
0.3%
100.079 1
0.3%
100.069 1
0.3%
100.067 1
0.3%
100.063 1
0.3%

2022-10
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
100
300 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0033223
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
100 300
99.7%
<NA> 1
 
0.3%

Length

2024-04-18T10:54:29.545171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T10:54:29.624616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 300
99.7%
na 1
 
0.3%

2022-11
Real number (ℝ)

Distinct163
Distinct (%)54.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean100.02018
Minimum99.592
Maximum100.178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:29.710938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.592
5-th percentile99.8649
Q199.99675
median100.036
Q3100.07225
95-th percentile100.12
Maximum100.178
Range0.586
Interquartile range (IQR)0.0755

Descriptive statistics

Standard deviation0.083605225
Coefficient of variation (CV)0.00083588357
Kurtosis4.6273356
Mean100.02018
Median Absolute Deviation (MAD)0.038
Skewness-1.7258421
Sum30006.054
Variance0.0069898337
MonotonicityNot monotonic
2024-04-18T10:54:29.821958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.028 9
 
3.0%
100.089 7
 
2.3%
100.018 6
 
2.0%
100.046 6
 
2.0%
100.076 5
 
1.7%
100.041 5
 
1.7%
100.034 5
 
1.7%
100.088 5
 
1.7%
100.051 5
 
1.7%
100.036 5
 
1.7%
Other values (153) 242
80.4%
ValueCountFrequency (%)
99.592 1
0.3%
99.634 1
0.3%
99.686 1
0.3%
99.708 1
0.3%
99.762 1
0.3%
99.788 1
0.3%
99.797 1
0.3%
99.811 1
0.3%
99.816 1
0.3%
99.822 1
0.3%
ValueCountFrequency (%)
100.178 1
0.3%
100.168 1
0.3%
100.165 1
0.3%
100.148 1
0.3%
100.142 1
0.3%
100.14 1
0.3%
100.137 1
0.3%
100.135 2
0.7%
100.129 1
0.3%
100.125 2
0.7%

2022-12
Real number (ℝ)

Distinct209
Distinct (%)69.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean100.0089
Minimum99.35
Maximum100.252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:29.965572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.35
5-th percentile99.7039
Q199.966
median100.043
Q3100.09975
95-th percentile100.18005
Maximum100.252
Range0.902
Interquartile range (IQR)0.13375

Descriptive statistics

Standard deviation0.14851473
Coefficient of variation (CV)0.0014850151
Kurtosis3.5941577
Mean100.0089
Median Absolute Deviation (MAD)0.0645
Skewness-1.6603913
Sum30002.67
Variance0.022056625
MonotonicityNot monotonic
2024-04-18T10:54:30.786625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.043 6
 
2.0%
100.03 4
 
1.3%
100.064 4
 
1.3%
99.998 4
 
1.3%
100.028 4
 
1.3%
100.067 4
 
1.3%
100.119 3
 
1.0%
99.966 3
 
1.0%
100.049 3
 
1.0%
100.022 3
 
1.0%
Other values (199) 262
87.0%
ValueCountFrequency (%)
99.35 1
0.3%
99.377 1
0.3%
99.395 1
0.3%
99.458 1
0.3%
99.53 1
0.3%
99.565 1
0.3%
99.602 1
0.3%
99.603 1
0.3%
99.608 1
0.3%
99.618 1
0.3%
ValueCountFrequency (%)
100.252 1
0.3%
100.251 1
0.3%
100.221 1
0.3%
100.217 1
0.3%
100.212 1
0.3%
100.208 1
0.3%
100.2 2
0.7%
100.197 1
0.3%
100.194 1
0.3%
100.193 1
0.3%

2023-01
Real number (ℝ)

Distinct216
Distinct (%)72.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.98223
Minimum99.135
Maximum100.291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:30.890313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.135
5-th percentile99.6011
Q199.9355
median100.0275
Q3100.104
95-th percentile100.184
Maximum100.291
Range1.156
Interquartile range (IQR)0.1685

Descriptive statistics

Standard deviation0.19362938
Coefficient of variation (CV)0.001936638
Kurtosis3.9573123
Mean99.98223
Median Absolute Deviation (MAD)0.0825
Skewness-1.7501331
Sum29994.669
Variance0.037492338
MonotonicityNot monotonic
2024-04-18T10:54:30.999056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.11 3
 
1.0%
100.17 3
 
1.0%
99.992 3
 
1.0%
100.016 3
 
1.0%
100.0 3
 
1.0%
100.071 3
 
1.0%
100.07 3
 
1.0%
100.057 3
 
1.0%
99.971 3
 
1.0%
100.104 3
 
1.0%
Other values (206) 270
89.7%
ValueCountFrequency (%)
99.135 1
0.3%
99.149 1
0.3%
99.15 1
0.3%
99.256 1
0.3%
99.377 2
0.7%
99.415 1
0.3%
99.417 1
0.3%
99.441 1
0.3%
99.457 1
0.3%
99.512 1
0.3%
ValueCountFrequency (%)
100.291 1
0.3%
100.285 1
0.3%
100.276 1
0.3%
100.271 1
0.3%
100.266 1
0.3%
100.248 1
0.3%
100.236 1
0.3%
100.235 1
0.3%
100.226 2
0.7%
100.223 1
0.3%

2023-02
Real number (ℝ)

Distinct234
Distinct (%)78.0%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.96644
Minimum98.984
Maximum100.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:31.105334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.984
5-th percentile99.55025
Q199.91375
median100.0205
Q3100.10825
95-th percentile100.22005
Maximum100.366
Range1.382
Interquartile range (IQR)0.1945

Descriptive statistics

Standard deviation0.22983469
Coefficient of variation (CV)0.0022991185
Kurtosis3.7287822
Mean99.96644
Median Absolute Deviation (MAD)0.095
Skewness-1.6879098
Sum29989.932
Variance0.052823986
MonotonicityNot monotonic
2024-04-18T10:54:31.231310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.018 3
 
1.0%
100.016 3
 
1.0%
100.068 3
 
1.0%
100.064 3
 
1.0%
100.173 3
 
1.0%
99.957 3
 
1.0%
100.144 3
 
1.0%
99.96 3
 
1.0%
100.149 3
 
1.0%
100.01 3
 
1.0%
Other values (224) 270
89.7%
ValueCountFrequency (%)
98.984 1
0.3%
98.989 1
0.3%
99.006 1
0.3%
99.136 1
0.3%
99.226 1
0.3%
99.244 1
0.3%
99.278 1
0.3%
99.297 1
0.3%
99.318 1
0.3%
99.353 2
0.7%
ValueCountFrequency (%)
100.366 1
0.3%
100.365 1
0.3%
100.356 1
0.3%
100.345 1
0.3%
100.342 1
0.3%
100.299 1
0.3%
100.288 1
0.3%
100.264 1
0.3%
100.26 1
0.3%
100.241 1
0.3%

2023-03
Real number (ℝ)

Distinct238
Distinct (%)79.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.972663
Minimum98.883
Maximum101.076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:31.353712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.883
5-th percentile99.4638
Q199.89625
median100.0265
Q3100.117
95-th percentile100.27005
Maximum101.076
Range2.193
Interquartile range (IQR)0.22075

Descriptive statistics

Standard deviation0.26660358
Coefficient of variation (CV)0.0026667648
Kurtosis3.7466792
Mean99.972663
Median Absolute Deviation (MAD)0.114
Skewness-1.1924001
Sum29991.799
Variance0.071077468
MonotonicityNot monotonic
2024-04-18T10:54:31.463045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.977 4
 
1.3%
100.024 4
 
1.3%
99.938 4
 
1.3%
100.104 4
 
1.3%
100.074 3
 
1.0%
100.151 3
 
1.0%
100.041 3
 
1.0%
100.117 3
 
1.0%
100.183 3
 
1.0%
100.065 3
 
1.0%
Other values (228) 266
88.4%
ValueCountFrequency (%)
98.883 1
0.3%
98.894 1
0.3%
98.967 1
0.3%
99.069 1
0.3%
99.12 1
0.3%
99.163 1
0.3%
99.189 1
0.3%
99.226 1
0.3%
99.235 1
0.3%
99.287 1
0.3%
ValueCountFrequency (%)
101.076 1
0.3%
100.664 1
0.3%
100.442 1
0.3%
100.426 1
0.3%
100.422 1
0.3%
100.396 1
0.3%
100.38 1
0.3%
100.338 1
0.3%
100.317 1
0.3%
100.305 1
0.3%

2023-04
Real number (ℝ)

Distinct242
Distinct (%)80.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean99.98589
Minimum98.798
Maximum101.708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:31.568154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.798
5-th percentile99.39855
Q199.89
median100.033
Q3100.137
95-th percentile100.32325
Maximum101.708
Range2.91
Interquartile range (IQR)0.247

Descriptive statistics

Standard deviation0.3057155
Coefficient of variation (CV)0.0030575864
Kurtosis5.5059843
Mean99.98589
Median Absolute Deviation (MAD)0.1205
Skewness-0.57385636
Sum29995.767
Variance0.093461964
MonotonicityNot monotonic
2024-04-18T10:54:31.672534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.251 3
 
1.0%
100.088 3
 
1.0%
100.041 3
 
1.0%
100.179 3
 
1.0%
100.161 3
 
1.0%
100.074 3
 
1.0%
100.223 3
 
1.0%
99.995 3
 
1.0%
100.02 2
 
0.7%
100.135 2
 
0.7%
Other values (232) 272
90.4%
ValueCountFrequency (%)
98.798 1
0.3%
98.822 1
0.3%
98.913 1
0.3%
99.011 1
0.3%
99.031 1
0.3%
99.115 1
0.3%
99.138 1
0.3%
99.16 1
0.3%
99.164 1
0.3%
99.212 1
0.3%
ValueCountFrequency (%)
101.708 1
0.3%
100.95 1
0.3%
100.546 1
0.3%
100.521 1
0.3%
100.516 1
0.3%
100.496 1
0.3%
100.484 1
0.3%
100.473 1
0.3%
100.406 1
0.3%
100.378 1
0.3%

2023-05
Real number (ℝ)

Distinct257
Distinct (%)85.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean100.01069
Minimum98.742
Maximum102.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:31.789884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.742
5-th percentile99.36305
Q199.91825
median100.047
Q3100.16775
95-th percentile100.4065
Maximum102.36
Range3.618
Interquartile range (IQR)0.2495

Descriptive statistics

Standard deviation0.34506267
Coefficient of variation (CV)0.003450258
Kurtosis8.8691269
Mean100.01069
Median Absolute Deviation (MAD)0.1265
Skewness0.22597232
Sum30003.206
Variance0.11906825
MonotonicityNot monotonic
2024-04-18T10:54:31.907152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.126 4
 
1.3%
100.048 3
 
1.0%
100.103 3
 
1.0%
100.144 3
 
1.0%
100.082 3
 
1.0%
100.007 3
 
1.0%
100.112 3
 
1.0%
100.017 2
 
0.7%
100.265 2
 
0.7%
100.096 2
 
0.7%
Other values (247) 272
90.4%
ValueCountFrequency (%)
98.742 1
0.3%
98.784 1
0.3%
98.885 1
0.3%
98.984 1
0.3%
99.012 1
0.3%
99.074 1
0.3%
99.128 1
0.3%
99.139 1
0.3%
99.163 1
0.3%
99.178 1
0.3%
ValueCountFrequency (%)
102.36 1
0.3%
101.272 1
0.3%
100.767 1
0.3%
100.686 1
0.3%
100.639 1
0.3%
100.628 1
0.3%
100.625 1
0.3%
100.613 1
0.3%
100.581 1
0.3%
100.532 1
0.3%

2023-06
Real number (ℝ)

Distinct253
Distinct (%)84.3%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean100.03939
Minimum98.744
Maximum103.021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-18T10:54:32.028068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.744
5-th percentile99.30975
Q199.92225
median100.0565
Q3100.19825
95-th percentile100.4943
Maximum103.021
Range4.277
Interquartile range (IQR)0.276

Descriptive statistics

Standard deviation0.38479365
Coefficient of variation (CV)0.0038464215
Kurtosis13.41094
Mean100.03939
Median Absolute Deviation (MAD)0.1395
Skewness1.0891618
Sum30011.816
Variance0.14806615
MonotonicityNot monotonic
2024-04-18T10:54:32.142377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.023 3
 
1.0%
100.02 3
 
1.0%
99.949 3
 
1.0%
100.002 3
 
1.0%
100.178 3
 
1.0%
100.007 3
 
1.0%
100.155 3
 
1.0%
99.917 2
 
0.7%
100.141 2
 
0.7%
99.976 2
 
0.7%
Other values (243) 273
90.7%
ValueCountFrequency (%)
98.744 1
0.3%
98.785 1
0.3%
98.894 1
0.3%
98.992 1
0.3%
99.021 1
0.3%
99.063 1
0.3%
99.104 1
0.3%
99.143 1
0.3%
99.144 1
0.3%
99.194 1
0.3%
ValueCountFrequency (%)
103.021 1
0.3%
101.612 1
0.3%
100.954 1
0.3%
100.828 1
0.3%
100.819 1
0.3%
100.795 1
0.3%
100.789 1
0.3%
100.775 1
0.3%
100.701 1
0.3%
100.69 1
0.3%

Sample

지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국73.60873.65773.73773.83473.93174.00874.02274.02374.0874.19274.30874.4274.574.60574.75474.88875.00275.11375.23975.34375.48375.63675.75675.88275.9976.10376.24576.39576.5376.69276.85877.00477.15177.32377.5177.70577.83977.97178.13978.30778.4878.67378.86479.04979.23679.43679.62979.80279.94880.13380.3980.64380.95581.27281.5981.87482.13582.3782.63482.89883.16783.42383.71683.99284.28284.59484.93585.29285.65686.04586.40386.69786.9787.287.46287.73988.02988.31388.61188.90389.1989.48989.7990.09190.3990.6890.92391.13891.37291.64591.94992.23692.51592.78793.08693.40593.69693.98794.30494.63594.95895.2995.62795.9796.31496.64696.97897.30397.59497.8898.18498.49698.82799.14699.44899.72299.91910099.99599.96399.92699.90599.91499.92999.972100.023
1수도권71.971.93272.00772.10272.20472.27372.27572.26272.32672.43672.55272.65772.73972.84272.99973.12973.23973.33673.44773.54373.68173.83173.93874.04474.14774.25674.38174.52274.64774.7974.9475.07675.20975.36575.51675.66875.7775.87676.01676.16676.32876.51276.776.87777.05777.2577.42877.58477.71377.88678.13678.38578.70979.02479.33679.60379.83880.05280.29980.5580.81481.07881.37381.64581.93982.27182.64683.05483.48383.93684.35884.6984.99185.24285.5385.84186.17986.5186.86987.23187.59587.96988.33988.70489.06589.41789.72289.98790.27290.59290.93791.26391.58591.89492.22192.56992.89993.23693.59593.96994.33394.71195.09195.47995.87396.25496.63196.99797.32897.64697.97998.32598.69699.05699.39999.71799.93510099.98199.93499.88999.86599.87599.89199.949100.016
2지방76.58276.66276.75276.85376.93877.03577.07277.09977.14277.2677.37377.49877.57377.68477.81577.95778.07678.21578.3778.48978.63178.7978.93579.09679.21679.33779.50879.67479.83180.02780.2280.38880.56180.7681.01781.29181.48781.66881.88982.08882.28182.49182.6982.88883.08883.29983.51883.72483.90284.10684.37584.63684.92685.24685.57285.88586.19786.46786.76287.04887.32387.56787.85888.13888.4288.69888.97589.23789.48389.75689.99690.22490.44390.63590.8591.06391.26891.46691.65391.81891.96492.12792.30292.48792.67292.84892.9893.193.24493.4393.66293.87594.08394.29194.54594.81495.03995.25595.595.75696.01496.26796.53196.79897.05897.30897.56397.81998.04598.27498.52698.78299.04699.29699.52999.73299.893100100.018100.01399.99199.97699.98199.995100.014100.037
3대도시70.04370.09770.17670.28570.38570.46670.45570.45170.53570.66470.79870.91771.02571.15371.33371.47871.59971.72471.86671.99772.1872.36572.572.63672.7672.88773.04273.2173.37873.55873.74173.90974.07774.2674.45274.64774.79474.93675.10675.28475.47575.68275.89376.09476.29676.51176.71376.90277.05677.25577.51177.76478.12778.4978.85879.17979.45879.70479.98280.26580.57780.88281.21581.47981.77782.11182.51282.93383.483.88984.32684.66684.97885.21985.49285.79486.13586.4786.8387.18687.54587.90788.28588.65889.02289.36689.64189.88790.15790.46890.83591.18891.52591.85192.21892.60592.95293.29993.66294.04594.41994.80295.18395.56695.95896.33896.71897.08897.41697.73398.06698.41198.78299.13999.47799.77599.96610099.93599.86199.80699.7799.76499.76599.80899.859
4시지역76.72276.76376.84376.93177.02977.10477.14677.14877.18377.27877.37177.47777.52777.61477.72977.85177.95878.05478.16778.2478.33478.45478.55978.67278.76778.87178.99679.12779.23279.37379.52279.64579.7779.92980.11580.31380.43580.55980.72480.88181.03781.2281.39681.56981.74481.93282.11782.27382.40982.5882.83983.09783.35983.63183.89884.14484.38984.61484.86485.1185.33885.54885.80386.09486.37986.67686.96287.26287.53187.82788.10988.36588.688.82489.07789.33389.57889.81790.05890.29490.51590.76190.99191.22891.4791.71491.93592.12392.32992.57492.82793.05493.28193.50693.74193.99894.23894.4894.75595.0495.32395.61395.91996.23596.54696.84397.13597.42497.68997.95298.23798.52698.82999.12399.40199.66199.872100100.057100.064100.044100.039100.063100.096100.144100.198
5군지역80.38980.44180.51780.59980.66380.72380.76380.77380.76380.86280.98881.08581.12381.18681.30881.43181.52681.63781.70681.80381.90782.02882.12982.24882.32482.39582.53582.67282.7882.93283.08283.20783.34383.50383.66583.83683.94984.0784.23984.38984.53784.68984.8484.98585.13185.2985.46285.62985.78385.95286.19986.43386.68186.94787.20887.46387.70887.92988.16688.39388.61588.81189.05889.31289.57489.82890.07490.30790.52290.76991.01591.23491.44491.63491.86392.08792.29792.49292.69392.86993.03893.2293.39693.57393.7593.92494.07494.21894.36694.53594.70794.87795.0695.24395.43795.64995.84596.03996.26996.49696.71396.93297.14397.34997.54997.74997.95798.16898.35698.54398.74898.95399.15799.35599.54699.72999.88100100.059100.085100.081100.078100.093100.107100.126100.144
6서울68.49268.52968.60168.70968.81368.8868.85368.83568.93569.0869.22769.35869.48969.63269.83569.99670.12370.2570.39570.52670.73370.93971.07971.20471.32771.45871.6171.77471.93872.10372.27772.43872.59772.77272.94473.11873.25573.38373.53673.70273.89274.09574.30474.50674.70974.92375.11475.29375.43775.61275.85576.10776.49576.87177.24377.54977.79578.01178.27278.54278.86979.19879.54779.78780.07480.41480.86681.36281.91782.48282.98583.34483.66783.89784.17484.49284.86985.24285.65486.0786.49286.9187.33587.7588.15188.52688.82989.189.39989.73490.11790.49590.85591.19691.56591.96592.3492.72793.12893.54393.94994.37494.78795.19895.62396.03696.44896.85197.20797.54597.89598.26598.67299.07299.45199.79199.99510099.91299.81999.74799.70499.69699.69299.74499.809
7서울 종로구71.55771.59671.64571.75671.85471.90371.93271.9572.02472.08672.23272.42472.56872.6672.95273.18973.36673.51273.6673.73973.88774.00274.09374.1774.2374.28474.40174.52274.62874.76274.89975.03175.14575.26475.40275.58175.70975.80775.94676.0776.20876.33876.48376.65376.81276.97877.1277.24377.32477.45877.64477.84878.1278.40178.75378.98979.21279.37779.53579.7880.20280.56680.78981.02281.35281.71482.09782.51183.04783.62484.07884.41584.65984.8885.14785.45885.83186.13286.4686.83487.19487.53587.84988.17888.588.81789.05389.25289.47589.78990.1390.48890.85591.21891.5991.98492.32392.69293.06593.45493.82894.22194.63495.03995.43995.81396.20196.58996.92797.25897.60898.01198.48198.94999.42799.796100.02110099.78899.5399.37799.24499.16399.13899.16399.194
8서울 중구72.5872.61672.68572.77772.88672.88472.8772.81772.86772.94873.02973.04273.08973.31773.39473.66273.83873.96774.14674.28274.54874.774.80374.91574.99575.08375.22775.34675.44875.54275.62975.72775.84575.97876.11876.26876.39476.5176.63276.75676.89477.03677.18777.34277.50877.69577.8277.96678.08178.18378.36378.52978.879.0879.42379.70779.92880.08380.24880.49680.86381.16881.56581.7982.09782.34582.63682.94783.42683.9784.42584.78485.05785.25885.52285.80786.19886.49786.93987.37687.76788.12188.45388.82289.13489.49489.78190.02590.27390.56890.95991.34991.7692.10492.46992.86493.23893.60593.97894.35994.75295.16395.5895.99296.36296.74197.10597.39797.62597.82598.0698.35698.73899.13699.50799.786100.03410099.86399.70299.58499.49499.4599.499.41199.442
9서울 용산구69.34769.33869.31468.8868.5468.37768.24468.08868.067.93367.90367.89867.94467.95768.03768.1268.19468.31268.46568.52268.65968.74568.83168.9168.97269.03769.1169.20269.2969.37169.45269.52869.59769.71869.84269.94570.04670.1270.22870.36770.54670.78871.04271.26871.50371.74171.95272.13672.27472.46972.73573.04573.51674.12474.60174.93275.20375.38275.60475.90576.59777.23877.60277.90378.15278.57879.580.16880.8481.50682.02682.43182.74483.183.44183.79284.18684.60885.04285.51185.94286.37686.81287.26287.64888.00588.33788.6388.96989.35889.73290.09390.44290.7791.09391.49891.88492.29292.69893.12793.57593.98894.40694.85395.29695.69996.10496.53796.87697.18697.597.89198.33698.79599.30499.75299.99110099.87499.67999.57699.6399.68899.73899.79299.861
지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
291경남 남해군76.63376.73676.79176.92976.92876.91877.02776.94776.85876.90576.84177.07277.06577.20277.42877.72677.95178.02478.20678.34678.55978.84478.85378.92679.07679.21479.47979.71579.87880.07780.09280.21380.31680.47280.5880.67480.8280.98981.17481.33981.51781.67681.83881.95182.15682.30882.44282.64882.79483.00583.25983.50883.74384.01484.28784.51784.78785.02785.34885.65385.94286.28386.63486.93587.2287.65587.9488.24288.58388.93889.24989.51889.81390.05890.34190.6490.92191.09391.22291.31891.42891.61591.79591.98492.17792.39192.50992.59992.68292.76792.87193.01893.19793.41993.68293.84694.0594.25194.49194.78395.07195.35995.63895.92596.23796.54696.85997.16897.48197.78298.10598.41298.70598.99899.28299.55499.805100100.125100.2100.221100.241100.271100.298100.325100.352
292경남 하동군86.67886.71586.80686.85386.84886.83686.86386.85986.88587.01887.28387.3687.71487.79687.96588.16788.21388.28288.35888.44388.5588.64388.7388.74188.80788.84588.9489.05889.13689.26389.489.53589.69489.78789.9490.08890.23590.3490.4590.56390.72190.88991.00891.18291.34291.51591.68391.86492.01892.24492.37792.57892.63892.85393.01393.16893.31893.45793.693.77193.93594.07594.25794.41594.62294.8194.95495.09995.24695.43895.56495.66195.77995.89596.05596.23796.38996.48196.56896.58596.59696.61396.66196.69696.74196.78696.83896.87796.92196.96197.00397.03797.10397.17597.2597.3197.3997.46797.58197.71897.84597.96698.07698.19998.29298.39798.52398.66298.78598.91199.06799.23799.38499.53899.67899.899.9100100.062100.089100.103100.116100.133100.148100.163100.174
293경남 산청군84.06584.11884.20384.30684.35384.42184.47784.51284.54184.61384.65584.68284.70884.76284.82784.90584.97585.22585.29885.31385.31985.52185.58585.67785.77585.84285.96586.05986.12686.2586.36686.42786.49986.60986.69986.91987.03687.14787.26987.44787.60187.77687.93888.08288.25988.4288.59888.73388.8689.02289.29489.55189.79590.09590.35390.54890.890.92791.15591.37591.691.80792.10292.37592.63192.92893.11293.33193.49493.65693.84894.04794.17594.38894.64694.88695.1295.22195.33795.42495.50995.61695.67895.78995.88895.98996.08996.16396.22596.34596.41996.49396.63196.7396.83696.95797.10697.24697.39997.55597.70997.8497.96598.07398.18298.30398.43298.6198.7598.89899.06999.24499.39799.54399.68799.79599.899100100.089100.134100.149100.165100.186100.206100.227100.244
294경남 함양군83.93783.98984.06984.18384.25684.24184.23984.20884.26384.33884.58884.66484.65984.70284.78584.984.95885.04985.10285.17685.47985.5785.74285.7585.83585.75685.84486.13486.32686.52286.63386.85386.88387.07587.1987.31387.45587.5287.63787.78387.94888.07188.31688.49588.64588.70788.87289.04689.17189.38589.60989.91690.20590.47490.80291.13691.37191.50391.70391.96392.23492.54292.72592.97493.24893.57493.80393.98594.1894.34994.594.60294.78194.92995.11895.29595.44995.57795.68195.73395.78295.84195.90795.99896.06796.13696.20996.27496.3296.37196.41396.45496.55296.66896.78496.9197.04297.1797.31897.45897.59497.72797.85397.9898.10798.24398.39498.54898.68698.82898.98899.14199.28999.44299.59399.73699.873100100.097100.141100.158100.167100.183100.203100.223100.243
295경남 거창군83.48783.55583.67183.77683.82183.90283.96484.05184.06584.18584.22884.32684.36384.45484.57484.64984.74384.86484.94584.95285.01785.13785.1685.31885.40785.48185.65385.77485.84885.9386.00886.0786.19486.32686.50186.61986.75986.87387.04587.13487.25787.3687.44987.58687.75587.97488.1188.25688.39788.51888.73188.93989.20789.50689.67889.91790.15290.27890.46990.7390.97191.16191.32191.50591.70391.89792.0792.31992.53992.80193.02693.18193.3993.5893.79394.02794.22694.34694.49394.59694.69894.83594.99395.10395.26695.37995.47395.54695.62395.70895.78995.86596.0196.13896.28196.43696.58796.72796.88897.06797.22697.38497.53497.67997.81897.99398.15298.31798.47498.63398.82399.01599.19399.36699.53199.69999.854100100.096100.164100.175100.189100.216100.251100.288100.317
296경남 합천군82.55482.61382.70482.80982.85682.91482.98283.05583.04983.12983.10183.13983.14783.15283.23883.32983.37583.53983.65283.70883.79183.88183.93383.98984.02884.06584.15984.24684.26384.35484.54784.67584.77384.96485.13985.31585.4885.55485.74785.88586.04786.22786.41386.55386.70886.88387.05387.22187.37387.5987.94488.23988.49988.73688.97289.22789.4789.70489.99490.29790.59490.85491.18891.39791.61291.76992.02792.21492.33792.64792.97493.23993.45993.67793.994.13394.35494.49494.6394.7494.82494.93695.03495.11995.27395.39595.50595.60495.70895.80995.995.98796.14196.29696.47196.66196.83697.00197.17697.35297.52497.69197.85198.00898.15898.31198.47798.64498.79198.93899.10799.26699.39899.54199.68999.80799.906100100.041100.083100.099100.116100.132100.148100.166100.182
297제주73.63773.72273.81773.92174.03774.03173.98774.00574.00674.17874.35874.60374.77275.06175.375.56975.75575.91676.12276.34576.58976.84277.10277.38577.61177.89478.05778.2978.4578.69579.00479.28279.56379.96181.53883.24184.46785.37986.26887.07887.57687.99988.33988.72989.11689.42589.890.17790.56590.93591.29191.80192.12692.56692.97293.42893.83794.2294.64595.09895.56495.88696.22596.56196.90397.21797.72898.41198.97999.37299.60899.842100.063100.184100.278100.381100.247100.135100.00499.81299.40598.9998.47398.07797.77597.46897.1696.87496.66896.56196.48396.41396.33696.25196.18696.18296.1796.16196.17396.21696.30496.39596.66797.00397.27397.48997.72397.9698.16798.36298.59698.83199.09399.36299.60599.81499.93610099.89799.80899.68699.5999.52199.48199.46699.459
298제주 시지역73.63773.72273.81773.92174.03774.03173.98774.00574.00674.17874.35874.60374.77275.06175.375.56975.75575.91676.12276.34576.58976.84277.10277.38577.61177.89478.05778.2978.4578.69579.00479.28279.56379.96181.53883.24184.46785.37986.26887.07887.57687.99988.33988.72989.11689.42589.890.17790.56590.93591.29191.80192.12692.56692.97293.42893.83794.2294.64595.09895.56495.88696.22596.56196.90397.21797.72898.41198.97999.37299.60899.842100.063100.184100.278100.381100.247100.135100.00499.81299.40598.9998.47398.07797.77597.46897.1696.87496.66896.56196.48396.41396.33696.25196.18696.18296.1796.16196.17396.21696.30496.39596.66797.00397.27397.48997.72397.9698.16798.36298.59698.83199.09399.36299.60599.81499.93610099.89799.80899.68699.5999.52199.48199.46699.459
299제주 제주시74.01274.10674.19674.29674.40374.39774.33274.32774.33774.52374.68674.94175.05375.2875.575.75475.92676.04476.25476.43876.66676.89977.13577.39177.58377.85678.00378.2278.36378.59978.91479.19279.47479.86881.38583.05484.23685.12585.96586.75687.22687.60987.91288.30688.69288.98389.35889.7490.12890.49890.85391.35391.67692.10492.51992.9493.32893.68794.11994.59195.09595.44295.7896.11496.44196.72697.22797.89498.44298.78499.01899.24799.47299.59499.799.80999.6999.57799.44199.24298.83498.41997.92697.5297.22696.92596.61896.33796.13496.04795.98295.95295.91795.87295.83895.83995.82895.82195.84595.91396.05396.20196.53996.9397.22597.45597.69997.94698.12998.32798.56798.80899.07399.34899.60199.80899.93610099.90299.82899.69999.59399.51299.46299.44699.438
300제주 서귀포시72.96973.03973.14573.25473.38473.37673.36773.42273.4173.5673.76873.99474.25474.64474.91475.20475.41475.64475.84476.12976.39876.68376.98577.30877.58877.88778.07678.33678.52578.78679.08179.36279.63880.04481.71483.47184.7785.71686.68287.51988.06488.54988.94589.33189.71790.05890.43390.80591.19691.56691.92792.45692.78693.2593.63994.15594.60195.02495.44295.86796.27496.55196.89297.23497.697.96598.49799.20599.813100.291100.534100.776100.991101.109101.182101.275101.118101.007100.887100.705100.29999.88499.32898.95198.63598.32198.01397.71897.50797.36697.26597.13496.98896.8496.72596.71496.69896.68696.67996.68196.68696.68996.85697.10897.33997.53297.7597.97598.22198.41398.63598.86499.11999.3899.60799.82199.93710099.88899.77899.66599.58599.53599.5199.49999.494