Overview

Dataset statistics

Number of variables128
Number of observations2107
Missing cells54695
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory1.1 KiB

Variable types

Text1
Categorical2
Numeric125

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 중 이용상황별 지가지수 데이터입니다. - 기준시점(2022.10.=100.0) - 공표시기 : 익월 25일경 - 단위 : 지수
URLhttps://www.data.go.kr/data/15112212/fileData.do

Alerts

2013-01 has 485 (23.0%) missing valuesMissing
2013-02 has 485 (23.0%) missing valuesMissing
2013-03 has 485 (23.0%) missing valuesMissing
2013-04 has 485 (23.0%) missing valuesMissing
2013-05 has 485 (23.0%) missing valuesMissing
2013-06 has 485 (23.0%) missing valuesMissing
2013-07 has 485 (23.0%) missing valuesMissing
2013-08 has 479 (22.7%) missing valuesMissing
2013-09 has 479 (22.7%) missing valuesMissing
2013-10 has 479 (22.7%) missing valuesMissing
2013-11 has 479 (22.7%) missing valuesMissing
2013-12 has 479 (22.7%) missing valuesMissing
2014-01 has 479 (22.7%) missing valuesMissing
2014-02 has 479 (22.7%) missing valuesMissing
2014-03 has 479 (22.7%) missing valuesMissing
2014-04 has 479 (22.7%) missing valuesMissing
2014-05 has 479 (22.7%) missing valuesMissing
2014-06 has 450 (21.4%) missing valuesMissing
2014-07 has 450 (21.4%) missing valuesMissing
2014-08 has 450 (21.4%) missing valuesMissing
2014-09 has 450 (21.4%) missing valuesMissing
2014-10 has 450 (21.4%) missing valuesMissing
2014-11 has 450 (21.4%) missing valuesMissing
2014-12 has 437 (20.7%) missing valuesMissing
2015-01 has 437 (20.7%) missing valuesMissing
2015-02 has 437 (20.7%) missing valuesMissing
2015-03 has 437 (20.7%) missing valuesMissing
2015-04 has 437 (20.7%) missing valuesMissing
2015-05 has 437 (20.7%) missing valuesMissing
2015-06 has 437 (20.7%) missing valuesMissing
2015-07 has 437 (20.7%) missing valuesMissing
2015-08 has 437 (20.7%) missing valuesMissing
2015-09 has 437 (20.7%) missing valuesMissing
2015-10 has 437 (20.7%) missing valuesMissing
2015-11 has 437 (20.7%) missing valuesMissing
2015-12 has 437 (20.7%) missing valuesMissing
2016-01 has 437 (20.7%) missing valuesMissing
2016-02 has 437 (20.7%) missing valuesMissing
2016-03 has 437 (20.7%) missing valuesMissing
2016-04 has 437 (20.7%) missing valuesMissing
2016-05 has 437 (20.7%) missing valuesMissing
2016-06 has 437 (20.7%) missing valuesMissing
2016-07 has 437 (20.7%) missing valuesMissing
2016-08 has 437 (20.7%) missing valuesMissing
2016-09 has 437 (20.7%) missing valuesMissing
2016-10 has 437 (20.7%) missing valuesMissing
2016-11 has 437 (20.7%) missing valuesMissing
2016-12 has 433 (20.6%) missing valuesMissing
2017-01 has 433 (20.6%) missing valuesMissing
2017-02 has 433 (20.6%) missing valuesMissing
2017-03 has 433 (20.6%) missing valuesMissing
2017-04 has 433 (20.6%) missing valuesMissing
2017-05 has 433 (20.6%) missing valuesMissing
2017-06 has 433 (20.6%) missing valuesMissing
2017-07 has 433 (20.6%) missing valuesMissing
2017-08 has 433 (20.6%) missing valuesMissing
2017-09 has 433 (20.6%) missing valuesMissing
2017-10 has 433 (20.6%) missing valuesMissing
2017-11 has 433 (20.6%) missing valuesMissing
2017-12 has 433 (20.6%) missing valuesMissing
2018-01 has 433 (20.6%) missing valuesMissing
2018-02 has 433 (20.6%) missing valuesMissing
2018-03 has 433 (20.6%) missing valuesMissing
2018-04 has 433 (20.6%) missing valuesMissing
2018-05 has 433 (20.6%) missing valuesMissing
2018-06 has 433 (20.6%) missing valuesMissing
2018-07 has 433 (20.6%) missing valuesMissing
2018-08 has 433 (20.6%) missing valuesMissing
2018-09 has 433 (20.6%) missing valuesMissing
2018-10 has 433 (20.6%) missing valuesMissing
2018-11 has 433 (20.6%) missing valuesMissing
2018-12 has 433 (20.6%) missing valuesMissing
2019-01 has 433 (20.6%) missing valuesMissing
2019-02 has 433 (20.6%) missing valuesMissing
2019-03 has 433 (20.6%) missing valuesMissing
2019-04 has 433 (20.6%) missing valuesMissing
2019-05 has 433 (20.6%) missing valuesMissing
2019-06 has 433 (20.6%) missing valuesMissing
2019-07 has 433 (20.6%) missing valuesMissing
2019-08 has 433 (20.6%) missing valuesMissing
2019-09 has 433 (20.6%) missing valuesMissing
2019-10 has 433 (20.6%) missing valuesMissing
2019-11 has 433 (20.6%) missing valuesMissing
2019-12 has 433 (20.6%) missing valuesMissing
2020-01 has 433 (20.6%) missing valuesMissing
2020-02 has 433 (20.6%) missing valuesMissing
2020-03 has 433 (20.6%) missing valuesMissing
2020-04 has 433 (20.6%) missing valuesMissing
2020-05 has 433 (20.6%) missing valuesMissing
2020-06 has 433 (20.6%) missing valuesMissing
2020-07 has 433 (20.6%) missing valuesMissing
2020-08 has 433 (20.6%) missing valuesMissing
2020-09 has 413 (19.6%) missing valuesMissing
2020-10 has 413 (19.6%) missing valuesMissing
2020-11 has 413 (19.6%) missing valuesMissing
2020-12 has 413 (19.6%) missing valuesMissing
2021-01 has 413 (19.6%) missing valuesMissing
2021-02 has 413 (19.6%) missing valuesMissing
2021-03 has 413 (19.6%) missing valuesMissing
2021-04 has 413 (19.6%) missing valuesMissing
2021-05 has 413 (19.6%) missing valuesMissing
2021-06 has 413 (19.6%) missing valuesMissing
2021-07 has 413 (19.6%) missing valuesMissing
2021-08 has 413 (19.6%) missing valuesMissing
2021-09 has 413 (19.6%) missing valuesMissing
2021-10 has 413 (19.6%) missing valuesMissing
2021-11 has 413 (19.6%) missing valuesMissing
2021-12 has 413 (19.6%) missing valuesMissing
2022-01 has 413 (19.6%) missing valuesMissing
2022-02 has 413 (19.6%) missing valuesMissing
2022-03 has 413 (19.6%) missing valuesMissing
2022-04 has 413 (19.6%) missing valuesMissing
2022-05 has 413 (19.6%) missing valuesMissing
2022-06 has 413 (19.6%) missing valuesMissing
2022-07 has 413 (19.6%) missing valuesMissing
2022-08 has 413 (19.6%) missing valuesMissing
2022-09 has 413 (19.6%) missing valuesMissing
2022-11 has 439 (20.8%) missing valuesMissing
2022-12 has 439 (20.8%) missing valuesMissing
2023-01 has 439 (20.8%) missing valuesMissing
2023-02 has 439 (20.8%) missing valuesMissing
2023-03 has 439 (20.8%) missing valuesMissing
2023-04 has 439 (20.8%) missing valuesMissing
2023-05 has 439 (20.8%) missing valuesMissing
2023-06 has 439 (20.8%) missing valuesMissing

Reproduction

Analysis started2023-12-11 22:56:06.755725
Analysis finished2023-12-11 22:56:09.450546
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct301
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2023-12-12T07:56:09.797184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.0930233
Min length2

Characters and Unicode

Total characters12838
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

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row전국
ValueCountFrequency (%)
경기 357
 
8.3%
경북 196
 
4.6%
경남 182
 
4.3%
서울 182
 
4.3%
전남 175
 
4.1%
강원 147
 
3.4%
충남 140
 
3.3%
전북 133
 
3.1%
충북 126
 
2.9%
부산 119
 
2.8%
Other values (249) 2520
58.9%
2023-12-12T07:56:10.369819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2170
16.9%
847
 
6.6%
812
 
6.3%
756
 
5.9%
658
 
5.1%
623
 
4.9%
511
 
4.0%
378
 
2.9%
371
 
2.9%
329
 
2.6%
Other values (136) 5383
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10668
83.1%
Space Separator 2170
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
847
 
7.9%
812
 
7.6%
756
 
7.1%
658
 
6.2%
623
 
5.8%
511
 
4.8%
378
 
3.5%
371
 
3.5%
329
 
3.1%
294
 
2.8%
Other values (135) 5089
47.7%
Space Separator
ValueCountFrequency (%)
2170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10668
83.1%
Common 2170
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
847
 
7.9%
812
 
7.6%
756
 
7.1%
658
 
6.2%
623
 
5.8%
511
 
4.8%
378
 
3.5%
371
 
3.5%
329
 
3.1%
294
 
2.8%
Other values (135) 5089
47.7%
Common
ValueCountFrequency (%)
2170
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10668
83.1%
ASCII 2170
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2170
100.0%
Hangul
ValueCountFrequency (%)
847
 
7.9%
812
 
7.6%
756
 
7.1%
658
 
6.2%
623
 
5.8%
511
 
4.8%
378
 
3.5%
371
 
3.5%
329
 
3.1%
294
 
2.8%
Other values (135) 5089
47.7%

이용상황
Categorical

Distinct7
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
주거용_대
301 
상업용_대
301 
공장
301 
301 
301 
Other values (2)
602 

Length

Max length5
Median length2
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주거용_대
2nd row상업용_대
3rd row공장
4th row
5th row

Common Values

ValueCountFrequency (%)
주거용_대 301
14.3%
상업용_대 301
14.3%
공장 301
14.3%
301
14.3%
301
14.3%
임야 301
14.3%
기타 301
14.3%

Length

2023-12-12T07:56:10.561416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:10.700095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거용_대 301
14.3%
상업용_대 301
14.3%
공장 301
14.3%
301
14.3%
301
14.3%
임야 301
14.3%
기타 301
14.3%

2013-01
Real number (ℝ)

MISSING 

Distinct1566
Distinct (%)96.5%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.004038
Minimum44.608
Maximum113.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:10.839924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.608
5-th percentile68.2222
Q175.36525
median80.175
Q384.65175
95-th percentile90.8441
Maximum113.2
Range68.592
Interquartile range (IQR)9.2865

Descriptive statistics

Standard deviation7.1596799
Coefficient of variation (CV)0.089491482
Kurtosis1.2895006
Mean80.004038
Median Absolute Deviation (MAD)4.656
Skewness-0.0570409
Sum129766.55
Variance51.261017
MonotonicityNot monotonic
2023-12-12T07:56:11.015511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.832 3
 
0.1%
80.731 3
 
0.1%
85.537 3
 
0.1%
78.551 3
 
0.1%
78.519 3
 
0.1%
78.498 3
 
0.1%
87.829 2
 
0.1%
82.009 2
 
0.1%
75.161 2
 
0.1%
78.665 2
 
0.1%
Other values (1556) 1596
75.7%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
44.608 1
< 0.1%
46.813 1
< 0.1%
51.541 1
< 0.1%
56.697 1
< 0.1%
57.411 1
< 0.1%
58.278 1
< 0.1%
59.405 1
< 0.1%
59.619 1
< 0.1%
60.56 1
< 0.1%
61.338 1
< 0.1%
ValueCountFrequency (%)
113.2 1
< 0.1%
112.688 1
< 0.1%
106.419 1
< 0.1%
104.447 1
< 0.1%
104.403 1
< 0.1%
103.224 1
< 0.1%
101.47 1
< 0.1%
100.103 1
< 0.1%
99.688 1
< 0.1%
99.392 1
< 0.1%

2013-02
Real number (ℝ)

MISSING 

Distinct1570
Distinct (%)96.8%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.043094
Minimum44.762
Maximum113.349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:11.210451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.762
5-th percentile68.254
Q175.43075
median80.2115
Q384.6685
95-th percentile90.88885
Maximum113.349
Range68.587
Interquartile range (IQR)9.23775

Descriptive statistics

Standard deviation7.1404336
Coefficient of variation (CV)0.089207366
Kurtosis1.3057838
Mean80.043094
Median Absolute Deviation (MAD)4.6095
Skewness-0.047569036
Sum129829.9
Variance50.985792
MonotonicityNot monotonic
2023-12-12T07:56:11.381770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.571 3
 
0.1%
89.085 2
 
0.1%
84.804 2
 
0.1%
82.382 2
 
0.1%
76.286 2
 
0.1%
75.756 2
 
0.1%
88.245 2
 
0.1%
76.916 2
 
0.1%
72.019 2
 
0.1%
73.662 2
 
0.1%
Other values (1560) 1601
76.0%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
44.762 1
< 0.1%
47.246 1
< 0.1%
51.541 1
< 0.1%
57.231 1
< 0.1%
57.507 1
< 0.1%
58.293 1
< 0.1%
59.565 1
< 0.1%
59.949 1
< 0.1%
60.565 1
< 0.1%
61.714 1
< 0.1%
ValueCountFrequency (%)
113.349 1
< 0.1%
113.015 1
< 0.1%
106.647 1
< 0.1%
104.447 1
< 0.1%
104.398 1
< 0.1%
103.528 1
< 0.1%
101.47 1
< 0.1%
100.164 1
< 0.1%
100.103 1
< 0.1%
99.516 1
< 0.1%

2013-03
Real number (ℝ)

MISSING 

Distinct1561
Distinct (%)96.2%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.102023
Minimum45.042
Maximum113.358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:11.543256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.042
5-th percentile68.36625
Q175.48975
median80.254
Q384.709
95-th percentile91.02195
Maximum113.358
Range68.316
Interquartile range (IQR)9.21925

Descriptive statistics

Standard deviation7.1224643
Coefficient of variation (CV)0.088917409
Kurtosis1.2913384
Mean80.102023
Median Absolute Deviation (MAD)4.5615
Skewness-0.047405982
Sum129925.48
Variance50.729498
MonotonicityNot monotonic
2023-12-12T07:56:11.722310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.192 3
 
0.1%
74.457 2
 
0.1%
76.003 2
 
0.1%
77.859 2
 
0.1%
79.914 2
 
0.1%
75.442 2
 
0.1%
82.676 2
 
0.1%
77.344 2
 
0.1%
78.544 2
 
0.1%
83.803 2
 
0.1%
Other values (1551) 1601
76.0%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
45.042 1
< 0.1%
47.603 1
< 0.1%
51.578 1
< 0.1%
57.403 1
< 0.1%
57.573 1
< 0.1%
58.55 1
< 0.1%
59.857 1
< 0.1%
60.25 1
< 0.1%
60.57 1
< 0.1%
62.031 1
< 0.1%
ValueCountFrequency (%)
113.358 1
< 0.1%
113.015 1
< 0.1%
106.688 1
< 0.1%
104.487 1
< 0.1%
104.207 1
< 0.1%
103.581 1
< 0.1%
101.47 1
< 0.1%
100.265 1
< 0.1%
99.754 1
< 0.1%
99.516 1
< 0.1%

2013-04
Real number (ℝ)

MISSING 

Distinct1557
Distinct (%)96.0%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.168791
Minimum45.253
Maximum113.593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:11.907757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.253
5-th percentile68.45025
Q175.60075
median80.3185
Q384.74625
95-th percentile90.91985
Maximum113.593
Range68.34
Interquartile range (IQR)9.1455

Descriptive statistics

Standard deviation7.0987338
Coefficient of variation (CV)0.088547348
Kurtosis1.2894715
Mean80.168791
Median Absolute Deviation (MAD)4.549
Skewness-0.043461357
Sum130033.78
Variance50.392022
MonotonicityNot monotonic
2023-12-12T07:56:12.068896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.143 3
 
0.1%
85.712 3
 
0.1%
84.747 2
 
0.1%
76.474 2
 
0.1%
79.845 2
 
0.1%
83.678 2
 
0.1%
81.032 2
 
0.1%
83.965 2
 
0.1%
80.357 2
 
0.1%
77.142 2
 
0.1%
Other values (1547) 1600
75.9%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
45.253 1
< 0.1%
47.893 1
< 0.1%
52.102 1
< 0.1%
57.635 1
< 0.1%
57.933 1
< 0.1%
58.525 1
< 0.1%
60.25 1
< 0.1%
60.254 1
< 0.1%
60.581 1
< 0.1%
62.152 1
< 0.1%
ValueCountFrequency (%)
113.593 1
< 0.1%
113.2 1
< 0.1%
106.688 1
< 0.1%
104.547 1
< 0.1%
104.236 1
< 0.1%
103.645 1
< 0.1%
100.265 1
< 0.1%
100.016 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%

2013-05
Real number (ℝ)

MISSING 

Distinct1567
Distinct (%)96.6%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.233758
Minimum45.412
Maximum113.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:12.243246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.412
5-th percentile68.55015
Q175.703
median80.3555
Q384.78075
95-th percentile90.90155
Maximum113.68
Range68.268
Interquartile range (IQR)9.07775

Descriptive statistics

Standard deviation7.086391
Coefficient of variation (CV)0.088321814
Kurtosis1.2971701
Mean80.233758
Median Absolute Deviation (MAD)4.519
Skewness-0.039707299
Sum130139.16
Variance50.216937
MonotonicityNot monotonic
2023-12-12T07:56:12.401000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.855 3
 
0.1%
82.045 3
 
0.1%
79.718 3
 
0.1%
77.793 2
 
0.1%
82.641 2
 
0.1%
66.014 2
 
0.1%
78.561 2
 
0.1%
84.207 2
 
0.1%
72.769 2
 
0.1%
83.016 2
 
0.1%
Other values (1557) 1599
75.9%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
45.412 1
< 0.1%
48.125 1
< 0.1%
52.102 1
< 0.1%
57.716 1
< 0.1%
58.345 1
< 0.1%
58.564 1
< 0.1%
60.25 1
< 0.1%
60.417 1
< 0.1%
60.659 1
< 0.1%
62.222 1
< 0.1%
ValueCountFrequency (%)
113.68 1
< 0.1%
113.2 1
< 0.1%
106.688 1
< 0.1%
104.622 1
< 0.1%
104.269 1
< 0.1%
103.945 1
< 0.1%
100.587 1
< 0.1%
100.016 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%

2013-06
Real number (ℝ)

MISSING 

Distinct1556
Distinct (%)95.9%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.293068
Minimum45.402
Maximum113.757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:12.593954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.402
5-th percentile68.6498
Q175.7935
median80.468
Q384.82725
95-th percentile90.97265
Maximum113.757
Range68.355
Interquartile range (IQR)9.03375

Descriptive statistics

Standard deviation7.0717359
Coefficient of variation (CV)0.088074053
Kurtosis1.3251257
Mean80.293068
Median Absolute Deviation (MAD)4.494
Skewness-0.040398556
Sum130235.36
Variance50.009449
MonotonicityNot monotonic
2023-12-12T07:56:12.773875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.231 2
 
0.1%
81.518 2
 
0.1%
86.241 2
 
0.1%
81.481 2
 
0.1%
79.257 2
 
0.1%
85.68 2
 
0.1%
86.888 2
 
0.1%
74.635 2
 
0.1%
79.967 2
 
0.1%
82.878 2
 
0.1%
Other values (1546) 1602
76.0%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
45.402 1
< 0.1%
48.131 1
< 0.1%
51.92 1
< 0.1%
57.867 1
< 0.1%
58.709 1
< 0.1%
58.843 1
< 0.1%
60.25 1
< 0.1%
60.645 1
< 0.1%
60.869 1
< 0.1%
62.256 1
< 0.1%
ValueCountFrequency (%)
113.757 1
< 0.1%
113.541 1
< 0.1%
106.688 1
< 0.1%
104.622 1
< 0.1%
104.52 1
< 0.1%
104.103 1
< 0.1%
100.848 1
< 0.1%
100.016 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%

2013-07
Real number (ℝ)

MISSING 

Distinct1567
Distinct (%)96.6%
Missing485
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean80.322186
Minimum45.681
Maximum113.788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:13.254386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.681
5-th percentile68.6212
Q175.8535
median80.4915
Q384.848
95-th percentile91.05925
Maximum113.788
Range68.107
Interquartile range (IQR)8.9945

Descriptive statistics

Standard deviation7.0662682
Coefficient of variation (CV)0.087974052
Kurtosis1.3221822
Mean80.322186
Median Absolute Deviation (MAD)4.505
Skewness-0.045105212
Sum130282.59
Variance49.932146
MonotonicityNot monotonic
2023-12-12T07:56:13.425005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.053 3
 
0.1%
78.488 2
 
0.1%
76.54 2
 
0.1%
75.262 2
 
0.1%
80.718 2
 
0.1%
75.574 2
 
0.1%
74.3 2
 
0.1%
67.419 2
 
0.1%
83.609 2
 
0.1%
81.471 2
 
0.1%
Other values (1557) 1601
76.0%
(Missing) 485
 
23.0%
ValueCountFrequency (%)
45.681 1
< 0.1%
48.25 1
< 0.1%
51.92 1
< 0.1%
57.828 1
< 0.1%
58.752 1
< 0.1%
58.943 1
< 0.1%
60.658 1
< 0.1%
60.666 1
< 0.1%
60.993 1
< 0.1%
62.258 1
< 0.1%
ValueCountFrequency (%)
113.788 1
< 0.1%
113.682 1
< 0.1%
106.782 1
< 0.1%
104.622 1
< 0.1%
104.57 1
< 0.1%
104.347 1
< 0.1%
100.596 1
< 0.1%
100.016 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%

2013-08
Real number (ℝ)

MISSING 

Distinct1580
Distinct (%)97.1%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.326851
Minimum45.753
Maximum114.013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:13.597005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.753
5-th percentile68.6276
Q175.90275
median80.5025
Q384.81075
95-th percentile91.05835
Maximum114.013
Range68.26
Interquartile range (IQR)8.908

Descriptive statistics

Standard deviation7.0495547
Coefficient of variation (CV)0.087760875
Kurtosis1.3497854
Mean80.326851
Median Absolute Deviation (MAD)4.463
Skewness-0.046015723
Sum130772.11
Variance49.696222
MonotonicityNot monotonic
2023-12-12T07:56:13.762099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.609 3
 
0.1%
72.64 3
 
0.1%
72.087 2
 
0.1%
87.829 2
 
0.1%
83.234 2
 
0.1%
78.258 2
 
0.1%
85.211 2
 
0.1%
76.917 2
 
0.1%
86.203 2
 
0.1%
74.156 2
 
0.1%
Other values (1570) 1606
76.2%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
45.753 1
< 0.1%
48.301 1
< 0.1%
51.92 1
< 0.1%
57.809 1
< 0.1%
59.021 1
< 0.1%
59.111 1
< 0.1%
60.785 1
< 0.1%
61.094 1
< 0.1%
61.579 1
< 0.1%
61.739 1
< 0.1%
ValueCountFrequency (%)
114.013 1
< 0.1%
113.724 1
< 0.1%
106.991 1
< 0.1%
104.622 1
< 0.1%
104.61 1
< 0.1%
104.379 1
< 0.1%
100.677 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%
99.698 1
< 0.1%

2013-09
Real number (ℝ)

MISSING 

Distinct1568
Distinct (%)96.3%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.34692
Minimum45.823
Maximum114.085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:13.913893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.823
5-th percentile68.74215
Q175.94525
median80.56
Q384.8
95-th percentile91.0323
Maximum114.085
Range68.262
Interquartile range (IQR)8.85475

Descriptive statistics

Standard deviation7.0324012
Coefficient of variation (CV)0.087525461
Kurtosis1.3535632
Mean80.34692
Median Absolute Deviation (MAD)4.411
Skewness-0.038152871
Sum130804.78
Variance49.454666
MonotonicityNot monotonic
2023-12-12T07:56:14.049758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.034 3
 
0.1%
85.98 3
 
0.1%
83.609 2
 
0.1%
79.486 2
 
0.1%
87.046 2
 
0.1%
73.323 2
 
0.1%
76.078 2
 
0.1%
83.844 2
 
0.1%
78.071 2
 
0.1%
75.865 2
 
0.1%
Other values (1558) 1606
76.2%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
45.823 1
< 0.1%
48.627 1
< 0.1%
51.92 1
< 0.1%
57.843 1
< 0.1%
59.393 1
< 0.1%
59.404 1
< 0.1%
60.76 1
< 0.1%
61.345 1
< 0.1%
61.93 1
< 0.1%
62.409 1
< 0.1%
ValueCountFrequency (%)
114.085 1
< 0.1%
113.839 1
< 0.1%
106.991 1
< 0.1%
104.622 1
< 0.1%
104.491 1
< 0.1%
104.217 1
< 0.1%
100.658 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%
99.83 1
< 0.1%

2013-10
Real number (ℝ)

MISSING 

Distinct1574
Distinct (%)96.7%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.419768
Minimum46.065
Maximum114.254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:14.196572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.065
5-th percentile68.76335
Q176.0385
median80.6365
Q384.84375
95-th percentile91.04925
Maximum114.254
Range68.189
Interquartile range (IQR)8.80525

Descriptive statistics

Standard deviation7.0159228
Coefficient of variation (CV)0.08724127
Kurtosis1.367397
Mean80.419768
Median Absolute Deviation (MAD)4.3875
Skewness-0.029541394
Sum130923.38
Variance49.223172
MonotonicityNot monotonic
2023-12-12T07:56:14.343354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.227 3
 
0.1%
74.463 3
 
0.1%
84.249 3
 
0.1%
85.71 2
 
0.1%
83.261 2
 
0.1%
80.029 2
 
0.1%
90.312 2
 
0.1%
87.829 2
 
0.1%
74.979 2
 
0.1%
85.258 2
 
0.1%
Other values (1564) 1605
76.2%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
46.065 1
< 0.1%
48.741 1
< 0.1%
52.138 1
< 0.1%
57.99 1
< 0.1%
59.377 1
< 0.1%
59.669 1
< 0.1%
60.76 1
< 0.1%
61.709 1
< 0.1%
62.208 1
< 0.1%
62.432 1
< 0.1%
ValueCountFrequency (%)
114.254 1
< 0.1%
113.856 1
< 0.1%
107.124 1
< 0.1%
104.622 1
< 0.1%
104.527 1
< 0.1%
104.329 1
< 0.1%
100.658 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%
99.83 1
< 0.1%

2013-11
Real number (ℝ)

MISSING 

Distinct1560
Distinct (%)95.8%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.504041
Minimum46.241
Maximum114.254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:14.515118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.241
5-th percentile68.90625
Q176.14175
median80.74
Q384.9325
95-th percentile91.06255
Maximum114.254
Range68.013
Interquartile range (IQR)8.79075

Descriptive statistics

Standard deviation7.0001813
Coefficient of variation (CV)0.086954409
Kurtosis1.3853694
Mean80.504041
Median Absolute Deviation (MAD)4.388
Skewness-0.031615947
Sum131060.58
Variance49.002538
MonotonicityNot monotonic
2023-12-12T07:56:14.663120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.292 3
 
0.1%
82.681 3
 
0.1%
84.643 3
 
0.1%
83.9 3
 
0.1%
69.057 2
 
0.1%
73.023 2
 
0.1%
84.515 2
 
0.1%
81.984 2
 
0.1%
77.315 2
 
0.1%
84.969 2
 
0.1%
Other values (1550) 1604
76.1%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
46.241 1
< 0.1%
48.798 1
< 0.1%
51.98 1
< 0.1%
58.028 1
< 0.1%
59.438 1
< 0.1%
59.977 1
< 0.1%
60.699 1
< 0.1%
61.937 1
< 0.1%
62.208 1
< 0.1%
62.532 1
< 0.1%
ValueCountFrequency (%)
114.254 1
< 0.1%
114.124 1
< 0.1%
106.486 1
< 0.1%
104.629 1
< 0.1%
104.622 1
< 0.1%
104.609 1
< 0.1%
101.107 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%
99.83 1
< 0.1%

2013-12
Real number (ℝ)

MISSING 

Distinct1572
Distinct (%)96.6%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.579842
Minimum46.561
Maximum114.273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:14.804579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.561
5-th percentile68.92055
Q176.23275
median80.791
Q384.9995
95-th percentile91.1683
Maximum114.273
Range67.712
Interquartile range (IQR)8.76675

Descriptive statistics

Standard deviation6.9799565
Coefficient of variation (CV)0.086621621
Kurtosis1.3838803
Mean80.579842
Median Absolute Deviation (MAD)4.346
Skewness-0.026941211
Sum131183.98
Variance48.719792
MonotonicityNot monotonic
2023-12-12T07:56:14.971957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.101 2
 
0.1%
79.529 2
 
0.1%
82.405 2
 
0.1%
77.502 2
 
0.1%
80.317 2
 
0.1%
76.827 2
 
0.1%
81.605 2
 
0.1%
83.844 2
 
0.1%
95.478 2
 
0.1%
82.537 2
 
0.1%
Other values (1562) 1608
76.3%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
46.561 1
< 0.1%
49.092 1
< 0.1%
52.332 1
< 0.1%
58.18 1
< 0.1%
59.932 1
< 0.1%
60.213 1
< 0.1%
60.714 1
< 0.1%
62.208 1
< 0.1%
62.484 1
< 0.1%
62.557 1
< 0.1%
ValueCountFrequency (%)
114.273 1
< 0.1%
114.254 1
< 0.1%
106.486 1
< 0.1%
104.73 1
< 0.1%
104.645 1
< 0.1%
104.622 1
< 0.1%
100.966 1
< 0.1%
100.029 1
< 0.1%
100.012 1
< 0.1%
99.855 1
< 0.1%

2014-01
Real number (ℝ)

MISSING 

Distinct1563
Distinct (%)96.0%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.62895
Minimum46.673
Maximum114.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:15.169111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.673
5-th percentile69.01705
Q176.28725
median80.857
Q385.06525
95-th percentile91.26535
Maximum114.265
Range67.592
Interquartile range (IQR)8.778

Descriptive statistics

Standard deviation6.9602023
Coefficient of variation (CV)0.086323862
Kurtosis1.3816682
Mean80.62895
Median Absolute Deviation (MAD)4.367
Skewness-0.027712398
Sum131263.93
Variance48.444416
MonotonicityNot monotonic
2023-12-12T07:56:15.375350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.819 4
 
0.2%
79.561 3
 
0.1%
80.877 3
 
0.1%
76.239 2
 
0.1%
89.702 2
 
0.1%
70.738 2
 
0.1%
87.231 2
 
0.1%
81.911 2
 
0.1%
87.183 2
 
0.1%
82.246 2
 
0.1%
Other values (1553) 1604
76.1%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
46.673 1
< 0.1%
49.338 1
< 0.1%
52.546 1
< 0.1%
58.285 1
< 0.1%
59.932 1
< 0.1%
60.53 1
< 0.1%
60.731 1
< 0.1%
62.208 1
< 0.1%
62.604 1
< 0.1%
62.663 1
< 0.1%
ValueCountFrequency (%)
114.265 1
< 0.1%
114.254 1
< 0.1%
106.569 1
< 0.1%
104.853 1
< 0.1%
104.785 1
< 0.1%
104.622 1
< 0.1%
101.029 1
< 0.1%
100.214 1
< 0.1%
100.012 1
< 0.1%
99.403 1
< 0.1%

2014-02
Real number (ℝ)

MISSING 

Distinct1561
Distinct (%)95.9%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.717402
Minimum46.833
Maximum114.292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:15.546818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.833
5-th percentile69.1162
Q176.40225
median80.931
Q385.121
95-th percentile91.33985
Maximum114.292
Range67.459
Interquartile range (IQR)8.71875

Descriptive statistics

Standard deviation6.9545877
Coefficient of variation (CV)0.086159707
Kurtosis1.3924723
Mean80.717402
Median Absolute Deviation (MAD)4.396
Skewness-0.019839251
Sum131407.93
Variance48.36629
MonotonicityNot monotonic
2023-12-12T07:56:15.718878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.524 3
 
0.1%
75.243 3
 
0.1%
80.248 2
 
0.1%
87.276 2
 
0.1%
70.919 2
 
0.1%
84.062 2
 
0.1%
81.946 2
 
0.1%
76.336 2
 
0.1%
75.633 2
 
0.1%
87.435 2
 
0.1%
Other values (1551) 1606
76.2%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
46.833 1
< 0.1%
49.624 1
< 0.1%
52.546 1
< 0.1%
58.341 1
< 0.1%
59.914 1
< 0.1%
60.595 1
< 0.1%
60.731 1
< 0.1%
62.208 1
< 0.1%
62.691 1
< 0.1%
62.843 1
< 0.1%
ValueCountFrequency (%)
114.292 1
< 0.1%
114.254 1
< 0.1%
106.569 1
< 0.1%
105.217 1
< 0.1%
105.208 1
< 0.1%
104.622 1
< 0.1%
101.348 1
< 0.1%
100.05 1
< 0.1%
100.012 1
< 0.1%
99.536 1
< 0.1%

2014-03
Real number (ℝ)

MISSING 

Distinct1570
Distinct (%)96.4%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.814706
Minimum47.034
Maximum114.416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:15.934608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.034
5-th percentile69.13285
Q176.48675
median81.002
Q385.18425
95-th percentile91.45225
Maximum114.416
Range67.382
Interquartile range (IQR)8.6975

Descriptive statistics

Standard deviation6.9384439
Coefficient of variation (CV)0.085856204
Kurtosis1.3917278
Mean80.814706
Median Absolute Deviation (MAD)4.348
Skewness-0.019944377
Sum131566.34
Variance48.142004
MonotonicityNot monotonic
2023-12-12T07:56:16.108335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.319 2
 
0.1%
85.006 2
 
0.1%
79.893 2
 
0.1%
78.841 2
 
0.1%
79.011 2
 
0.1%
84.012 2
 
0.1%
82.777 2
 
0.1%
79.709 2
 
0.1%
80.771 2
 
0.1%
88.814 2
 
0.1%
Other values (1560) 1608
76.3%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
47.034 1
< 0.1%
49.97 1
< 0.1%
52.795 1
< 0.1%
58.474 1
< 0.1%
59.972 1
< 0.1%
60.798 1
< 0.1%
60.9 1
< 0.1%
62.208 1
< 0.1%
62.691 1
< 0.1%
63.039 1
< 0.1%
ValueCountFrequency (%)
114.416 1
< 0.1%
114.254 1
< 0.1%
106.69 1
< 0.1%
105.438 1
< 0.1%
105.224 1
< 0.1%
104.622 1
< 0.1%
101.348 1
< 0.1%
99.865 1
< 0.1%
99.766 1
< 0.1%
99.622 1
< 0.1%

2014-04
Real number (ℝ)

MISSING 

Distinct1575
Distinct (%)96.7%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean80.919877
Minimum47.287
Maximum114.501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:16.278983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.287
5-th percentile69.3111
Q176.5815
median81.138
Q385.25525
95-th percentile91.52325
Maximum114.501
Range67.214
Interquartile range (IQR)8.67375

Descriptive statistics

Standard deviation6.9366467
Coefficient of variation (CV)0.085722408
Kurtosis1.3899243
Mean80.919877
Median Absolute Deviation (MAD)4.3125
Skewness-0.0086022468
Sum131737.56
Variance48.117068
MonotonicityNot monotonic
2023-12-12T07:56:16.434682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.456 3
 
0.1%
76.481 2
 
0.1%
86.191 2
 
0.1%
79.247 2
 
0.1%
74.525 2
 
0.1%
85.35 2
 
0.1%
75.236 2
 
0.1%
84.103 2
 
0.1%
81.361 2
 
0.1%
77.802 2
 
0.1%
Other values (1565) 1607
76.3%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
47.287 1
< 0.1%
50.293 1
< 0.1%
53.689 1
< 0.1%
58.629 1
< 0.1%
59.972 1
< 0.1%
60.766 1
< 0.1%
61.281 1
< 0.1%
62.48 1
< 0.1%
62.691 1
< 0.1%
63.241 1
< 0.1%
ValueCountFrequency (%)
114.501 1
< 0.1%
114.499 1
< 0.1%
106.69 1
< 0.1%
105.603 1
< 0.1%
105.382 1
< 0.1%
104.622 1
< 0.1%
101.697 1
< 0.1%
100.457 1
< 0.1%
100.164 1
< 0.1%
99.872 1
< 0.1%

2014-05
Real number (ℝ)

MISSING 

Distinct1555
Distinct (%)95.5%
Missing479
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean81.007778
Minimum47.647
Maximum114.695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:16.564495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.647
5-th percentile69.4981
Q176.6395
median81.2155
Q385.3185
95-th percentile91.62085
Maximum114.695
Range67.048
Interquartile range (IQR)8.679

Descriptive statistics

Standard deviation6.9401735
Coefficient of variation (CV)0.085672927
Kurtosis1.396701
Mean81.007778
Median Absolute Deviation (MAD)4.3585
Skewness0.0022303008
Sum131880.66
Variance48.166008
MonotonicityNot monotonic
2023-12-12T07:56:16.726447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.902 3
 
0.1%
84.127 3
 
0.1%
85.317 3
 
0.1%
78.963 2
 
0.1%
78.014 2
 
0.1%
71.498 2
 
0.1%
78.406 2
 
0.1%
76.474 2
 
0.1%
83.185 2
 
0.1%
77.584 2
 
0.1%
Other values (1545) 1605
76.2%
(Missing) 479
 
22.7%
ValueCountFrequency (%)
47.647 1
< 0.1%
50.455 1
< 0.1%
53.842 1
< 0.1%
58.795 1
< 0.1%
60.148 1
< 0.1%
60.78 1
< 0.1%
61.456 1
< 0.1%
62.48 1
< 0.1%
62.691 1
< 0.1%
63.435 1
< 0.1%
ValueCountFrequency (%)
114.695 1
< 0.1%
114.501 1
< 0.1%
106.914 1
< 0.1%
106.331 1
< 0.1%
105.34 1
< 0.1%
104.622 1
< 0.1%
101.94 1
< 0.1%
101.006 1
< 0.1%
100.607 1
< 0.1%
100.366 1
< 0.1%

2014-06
Real number (ℝ)

MISSING 

Distinct1597
Distinct (%)96.4%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.089102
Minimum47.899
Maximum114.705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:16.862997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.899
5-th percentile69.6498
Q176.836
median81.304
Q385.341
95-th percentile91.6726
Maximum114.705
Range66.806
Interquartile range (IQR)8.505

Descriptive statistics

Standard deviation6.9001787
Coefficient of variation (CV)0.085093786
Kurtosis1.4275797
Mean81.089102
Median Absolute Deviation (MAD)4.305
Skewness0.011139118
Sum134364.64
Variance47.612466
MonotonicityNot monotonic
2023-12-12T07:56:16.977156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.737 3
 
0.1%
85.317 3
 
0.1%
88.708 3
 
0.1%
81.559 3
 
0.1%
82.594 2
 
0.1%
78.088 2
 
0.1%
78.94 2
 
0.1%
82.339 2
 
0.1%
79.64 2
 
0.1%
75.883 2
 
0.1%
Other values (1587) 1633
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
47.899 1
< 0.1%
50.693 1
< 0.1%
53.932 1
< 0.1%
58.795 1
< 0.1%
60.305 1
< 0.1%
60.78 1
< 0.1%
61.507 1
< 0.1%
62.48 1
< 0.1%
63.416 1
< 0.1%
63.605 1
< 0.1%
ValueCountFrequency (%)
114.705 1
< 0.1%
114.501 1
< 0.1%
107.317 1
< 0.1%
106.524 1
< 0.1%
105.815 1
< 0.1%
104.903 1
< 0.1%
101.94 1
< 0.1%
101.052 1
< 0.1%
100.858 1
< 0.1%
100.607 1
< 0.1%

2014-07
Real number (ℝ)

MISSING 

Distinct1594
Distinct (%)96.2%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.183848
Minimum48.2
Maximum114.893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:17.122081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.2
5-th percentile69.845
Q176.917
median81.359
Q385.506
95-th percentile91.711
Maximum114.893
Range66.693
Interquartile range (IQR)8.589

Descriptive statistics

Standard deviation6.8855865
Coefficient of variation (CV)0.084814734
Kurtosis1.4282248
Mean81.183848
Median Absolute Deviation (MAD)4.331
Skewness0.013196758
Sum134521.64
Variance47.411301
MonotonicityNot monotonic
2023-12-12T07:56:17.243108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.317 3
 
0.1%
87.444 3
 
0.1%
78.283 3
 
0.1%
80.881 3
 
0.1%
81.671 3
 
0.1%
83.555 2
 
0.1%
82.519 2
 
0.1%
86.723 2
 
0.1%
88.662 2
 
0.1%
68.573 2
 
0.1%
Other values (1584) 1632
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
48.2 1
< 0.1%
50.87 1
< 0.1%
54.057 1
< 0.1%
58.812 1
< 0.1%
60.6 1
< 0.1%
60.821 1
< 0.1%
61.918 1
< 0.1%
62.775 1
< 0.1%
63.416 1
< 0.1%
63.847 1
< 0.1%
ValueCountFrequency (%)
114.893 1
< 0.1%
114.501 1
< 0.1%
107.403 1
< 0.1%
106.777 1
< 0.1%
105.993 1
< 0.1%
104.572 1
< 0.1%
102.168 1
< 0.1%
101.33 1
< 0.1%
101.075 1
< 0.1%
100.923 1
< 0.1%

2014-08
Real number (ℝ)

MISSING 

Distinct1577
Distinct (%)95.2%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.263043
Minimum48.471
Maximum114.974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:17.658154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.471
5-th percentile69.8614
Q177.021
median81.536
Q385.573
95-th percentile91.759
Maximum114.974
Range66.503
Interquartile range (IQR)8.552

Descriptive statistics

Standard deviation6.8757001
Coefficient of variation (CV)0.084610419
Kurtosis1.4163591
Mean81.263043
Median Absolute Deviation (MAD)4.326
Skewness0.016352724
Sum134652.86
Variance47.275251
MonotonicityNot monotonic
2023-12-12T07:56:17.767311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.919 3
 
0.1%
80.636 3
 
0.1%
85.317 3
 
0.1%
83.262 3
 
0.1%
75.276 2
 
0.1%
80.47 2
 
0.1%
78.277 2
 
0.1%
85.781 2
 
0.1%
81.072 2
 
0.1%
80.668 2
 
0.1%
Other values (1567) 1633
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
48.471 1
< 0.1%
51.092 1
< 0.1%
54.057 1
< 0.1%
58.871 1
< 0.1%
60.652 1
< 0.1%
60.77 1
< 0.1%
61.926 1
< 0.1%
62.775 1
< 0.1%
64.088 1
< 0.1%
64.269 1
< 0.1%
ValueCountFrequency (%)
114.974 1
< 0.1%
114.501 1
< 0.1%
107.403 1
< 0.1%
106.648 1
< 0.1%
105.992 1
< 0.1%
104.572 1
< 0.1%
102.063 1
< 0.1%
101.645 1
< 0.1%
100.974 1
< 0.1%
100.607 1
< 0.1%

2014-09
Real number (ℝ)

MISSING 

Distinct1590
Distinct (%)96.0%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.360784
Minimum48.545
Maximum115.019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:17.893162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.545
5-th percentile69.8836
Q177.118
median81.619
Q385.701
95-th percentile91.877
Maximum115.019
Range66.474
Interquartile range (IQR)8.583

Descriptive statistics

Standard deviation6.8661977
Coefficient of variation (CV)0.08439198
Kurtosis1.4302779
Mean81.360784
Median Absolute Deviation (MAD)4.299
Skewness0.02075799
Sum134814.82
Variance47.14467
MonotonicityNot monotonic
2023-12-12T07:56:18.021871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.317 3
 
0.1%
80.831 3
 
0.1%
70.307 3
 
0.1%
81.136 3
 
0.1%
77.233 3
 
0.1%
81.781 2
 
0.1%
81.657 2
 
0.1%
80.248 2
 
0.1%
84.884 2
 
0.1%
83.542 2
 
0.1%
Other values (1580) 1632
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
48.545 1
< 0.1%
51.094 1
< 0.1%
54.232 1
< 0.1%
59.0 1
< 0.1%
60.67 1
< 0.1%
60.888 1
< 0.1%
62.164 1
< 0.1%
63.205 1
< 0.1%
64.032 1
< 0.1%
64.281 1
< 0.1%
ValueCountFrequency (%)
115.019 1
< 0.1%
114.804 1
< 0.1%
107.529 1
< 0.1%
106.714 1
< 0.1%
106.201 1
< 0.1%
104.572 1
< 0.1%
102.205 1
< 0.1%
101.854 1
< 0.1%
101.146 1
< 0.1%
101.003 1
< 0.1%

2014-10
Real number (ℝ)

MISSING 

Distinct1570
Distinct (%)94.7%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.466138
Minimum48.593
Maximum115.076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:18.128615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.593
5-th percentile70.0902
Q177.243
median81.674
Q385.775
95-th percentile91.9076
Maximum115.076
Range66.483
Interquartile range (IQR)8.532

Descriptive statistics

Standard deviation6.8449175
Coefficient of variation (CV)0.084021627
Kurtosis1.4480744
Mean81.466138
Median Absolute Deviation (MAD)4.239
Skewness0.017930315
Sum134989.39
Variance46.852895
MonotonicityNot monotonic
2023-12-12T07:56:18.235996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.317 4
 
0.2%
80.69 3
 
0.1%
82.391 3
 
0.1%
73.103 3
 
0.1%
89.794 2
 
0.1%
76.993 2
 
0.1%
79.89 2
 
0.1%
83.792 2
 
0.1%
81.608 2
 
0.1%
84.892 2
 
0.1%
Other values (1560) 1632
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
48.593 1
< 0.1%
51.174 1
< 0.1%
54.232 1
< 0.1%
59.106 1
< 0.1%
60.773 1
< 0.1%
60.966 1
< 0.1%
62.224 1
< 0.1%
63.468 1
< 0.1%
64.324 1
< 0.1%
64.4 1
< 0.1%
ValueCountFrequency (%)
115.076 1
< 0.1%
114.804 1
< 0.1%
107.529 1
< 0.1%
107.029 1
< 0.1%
106.394 1
< 0.1%
104.572 1
< 0.1%
102.278 1
< 0.1%
101.883 1
< 0.1%
101.721 1
< 0.1%
101.565 1
< 0.1%

2014-11
Real number (ℝ)

MISSING 

Distinct1583
Distinct (%)95.5%
Missing450
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean81.559651
Minimum48.696
Maximum115.214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:18.343668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.696
5-th percentile70.1754
Q177.357
median81.781
Q385.895
95-th percentile91.935
Maximum115.214
Range66.518
Interquartile range (IQR)8.538

Descriptive statistics

Standard deviation6.8274089
Coefficient of variation (CV)0.083710619
Kurtosis1.4607883
Mean81.559651
Median Absolute Deviation (MAD)4.278
Skewness0.013533515
Sum135144.34
Variance46.613512
MonotonicityNot monotonic
2023-12-12T07:56:18.445748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.317 4
 
0.2%
88.05 3
 
0.1%
86.866 3
 
0.1%
84.201 3
 
0.1%
79.532 2
 
0.1%
81.481 2
 
0.1%
81.343 2
 
0.1%
86.975 2
 
0.1%
83.735 2
 
0.1%
88.233 2
 
0.1%
Other values (1573) 1632
77.5%
(Missing) 450
 
21.4%
ValueCountFrequency (%)
48.696 1
< 0.1%
51.235 1
< 0.1%
54.633 1
< 0.1%
59.229 1
< 0.1%
60.773 1
< 0.1%
60.983 1
< 0.1%
62.228 1
< 0.1%
63.468 1
< 0.1%
64.324 1
< 0.1%
64.435 1
< 0.1%
ValueCountFrequency (%)
115.214 1
< 0.1%
114.804 1
< 0.1%
107.529 1
< 0.1%
107.319 1
< 0.1%
106.407 1
< 0.1%
104.572 1
< 0.1%
102.257 1
< 0.1%
101.928 1
< 0.1%
101.788 1
< 0.1%
101.691 1
< 0.1%

2014-12
Real number (ℝ)

MISSING 

Distinct1596
Distinct (%)95.6%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean81.730077
Minimum48.875
Maximum118.604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:18.550882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.875
5-th percentile70.28395
Q177.4935
median81.9225
Q386.0465
95-th percentile92.1517
Maximum118.604
Range69.729
Interquartile range (IQR)8.553

Descriptive statistics

Standard deviation6.8695794
Coefficient of variation (CV)0.084052036
Kurtosis1.8013655
Mean81.730077
Median Absolute Deviation (MAD)4.307
Skewness0.087913497
Sum136489.23
Variance47.191121
MonotonicityNot monotonic
2023-12-12T07:56:18.661306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.624 3
 
0.1%
81.087 3
 
0.1%
85.317 3
 
0.1%
84.169 2
 
0.1%
88.397 2
 
0.1%
79.249 2
 
0.1%
83.569 2
 
0.1%
80.813 2
 
0.1%
79.487 2
 
0.1%
75.235 2
 
0.1%
Other values (1586) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
48.875 1
< 0.1%
51.34 1
< 0.1%
54.633 1
< 0.1%
59.412 1
< 0.1%
60.826 1
< 0.1%
61.004 1
< 0.1%
62.394 1
< 0.1%
63.765 1
< 0.1%
64.425 1
< 0.1%
64.477 1
< 0.1%
ValueCountFrequency (%)
118.604 1
< 0.1%
115.403 1
< 0.1%
114.804 1
< 0.1%
107.529 1
< 0.1%
107.181 1
< 0.1%
106.553 1
< 0.1%
104.572 1
< 0.1%
102.446 1
< 0.1%
102.19 1
< 0.1%
102.063 1
< 0.1%

2015-01
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean81.813914
Minimum48.889
Maximum118.604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:18.775049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.889
5-th percentile70.426
Q177.691
median81.989
Q386.16725
95-th percentile92.17985
Maximum118.604
Range69.715
Interquartile range (IQR)8.47625

Descriptive statistics

Standard deviation6.8518614
Coefficient of variation (CV)0.083749341
Kurtosis1.8321089
Mean81.813914
Median Absolute Deviation (MAD)4.2575
Skewness0.087850385
Sum136629.24
Variance46.948004
MonotonicityNot monotonic
2023-12-12T07:56:18.900285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.252 3
 
0.1%
88.708 3
 
0.1%
84.529 3
 
0.1%
86.697 3
 
0.1%
85.317 3
 
0.1%
75.64 2
 
0.1%
85.016 2
 
0.1%
81.345 2
 
0.1%
82.469 2
 
0.1%
94.25 2
 
0.1%
Other values (1589) 1645
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
48.889 1
< 0.1%
51.428 1
< 0.1%
54.633 1
< 0.1%
59.512 1
< 0.1%
60.945 1
< 0.1%
61.094 1
< 0.1%
62.407 1
< 0.1%
64.048 1
< 0.1%
64.425 1
< 0.1%
64.673 1
< 0.1%
ValueCountFrequency (%)
118.604 1
< 0.1%
115.556 1
< 0.1%
114.804 1
< 0.1%
107.529 1
< 0.1%
107.44 1
< 0.1%
106.645 1
< 0.1%
104.442 1
< 0.1%
102.413 1
< 0.1%
102.389 1
< 0.1%
102.19 1
< 0.1%

2015-02
Real number (ℝ)

MISSING 

Distinct1606
Distinct (%)96.2%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean81.89837
Minimum48.964
Maximum118.604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:19.028952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.964
5-th percentile70.61225
Q177.78625
median82.1045
Q386.258
95-th percentile92.1652
Maximum118.604
Range69.64
Interquartile range (IQR)8.47175

Descriptive statistics

Standard deviation6.8268137
Coefficient of variation (CV)0.083357138
Kurtosis1.8655554
Mean81.89837
Median Absolute Deviation (MAD)4.231
Skewness0.085499698
Sum136770.28
Variance46.605386
MonotonicityNot monotonic
2023-12-12T07:56:19.140449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.873 3
 
0.1%
85.317 3
 
0.1%
89.518 2
 
0.1%
80.662 2
 
0.1%
81.081 2
 
0.1%
93.77 2
 
0.1%
93.985 2
 
0.1%
79.789 2
 
0.1%
79.691 2
 
0.1%
75.135 2
 
0.1%
Other values (1596) 1648
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
48.964 1
< 0.1%
51.439 1
< 0.1%
54.787 1
< 0.1%
59.673 1
< 0.1%
61.094 1
< 0.1%
61.386 1
< 0.1%
62.463 1
< 0.1%
64.301 1
< 0.1%
64.401 1
< 0.1%
64.903 1
< 0.1%
ValueCountFrequency (%)
118.604 1
< 0.1%
115.674 1
< 0.1%
114.804 1
< 0.1%
107.542 1
< 0.1%
107.529 1
< 0.1%
106.78 1
< 0.1%
104.442 1
< 0.1%
102.571 1
< 0.1%
102.353 1
< 0.1%
102.271 1
< 0.1%

2015-03
Real number (ℝ)

MISSING 

Distinct1601
Distinct (%)95.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.025613
Minimum49.128
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:19.254262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.128
5-th percentile70.7566
Q177.921
median82.2475
Q386.34725
95-th percentile92.23335
Maximum119.581
Range70.453
Interquartile range (IQR)8.42625

Descriptive statistics

Standard deviation6.8107707
Coefficient of variation (CV)0.083032243
Kurtosis1.9271608
Mean82.025613
Median Absolute Deviation (MAD)4.1985
Skewness0.086834246
Sum136982.77
Variance46.386597
MonotonicityNot monotonic
2023-12-12T07:56:19.367061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.317 3
 
0.1%
81.077 3
 
0.1%
89.133 3
 
0.1%
81.676 2
 
0.1%
80.638 2
 
0.1%
78.136 2
 
0.1%
82.922 2
 
0.1%
76.222 2
 
0.1%
81.926 2
 
0.1%
83.345 2
 
0.1%
Other values (1591) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.128 1
< 0.1%
51.536 1
< 0.1%
54.787 1
< 0.1%
59.959 1
< 0.1%
61.098 1
< 0.1%
61.516 1
< 0.1%
62.514 1
< 0.1%
64.2 1
< 0.1%
64.512 1
< 0.1%
65.109 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
115.732 1
< 0.1%
114.804 1
< 0.1%
107.9 1
< 0.1%
107.38 1
< 0.1%
106.955 1
< 0.1%
104.442 1
< 0.1%
102.826 1
< 0.1%
102.543 1
< 0.1%
102.207 1
< 0.1%

2015-04
Real number (ℝ)

MISSING 

Distinct1592
Distinct (%)95.3%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.15351
Minimum49.184
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:19.477100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.184
5-th percentile70.9869
Q178.12725
median82.3375
Q386.46075
95-th percentile92.33675
Maximum119.581
Range70.397
Interquartile range (IQR)8.3335

Descriptive statistics

Standard deviation6.7927531
Coefficient of variation (CV)0.082683662
Kurtosis1.9543515
Mean82.15351
Median Absolute Deviation (MAD)4.175
Skewness0.088927492
Sum137196.36
Variance46.141494
MonotonicityNot monotonic
2023-12-12T07:56:19.620815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.781 3
 
0.1%
79.062 3
 
0.1%
85.68 3
 
0.1%
82.771 3
 
0.1%
85.017 2
 
0.1%
87.71 2
 
0.1%
83.856 2
 
0.1%
79.767 2
 
0.1%
83.025 2
 
0.1%
85.708 2
 
0.1%
Other values (1582) 1646
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.184 1
< 0.1%
51.706 1
< 0.1%
54.787 1
< 0.1%
60.131 1
< 0.1%
61.271 1
< 0.1%
61.615 1
< 0.1%
62.63 1
< 0.1%
64.512 1
< 0.1%
64.594 1
< 0.1%
64.939 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
115.882 1
< 0.1%
115.116 1
< 0.1%
107.864 1
< 0.1%
107.38 1
< 0.1%
107.007 1
< 0.1%
104.442 1
< 0.1%
102.985 1
< 0.1%
102.71 1
< 0.1%
102.218 1
< 0.1%

2015-05
Real number (ℝ)

MISSING 

Distinct1601
Distinct (%)95.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.267671
Minimum49.259
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:19.749562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.259
5-th percentile71.08585
Q178.2405
median82.45
Q386.538
95-th percentile92.34
Maximum119.581
Range70.322
Interquartile range (IQR)8.2975

Descriptive statistics

Standard deviation6.7700747
Coefficient of variation (CV)0.082293258
Kurtosis1.9774526
Mean82.267671
Median Absolute Deviation (MAD)4.131
Skewness0.092588136
Sum137387.01
Variance45.833911
MonotonicityNot monotonic
2023-12-12T07:56:19.891538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.68 3
 
0.1%
89.259 3
 
0.1%
72.108 3
 
0.1%
83.276 2
 
0.1%
84.408 2
 
0.1%
84.879 2
 
0.1%
91.358 2
 
0.1%
77.819 2
 
0.1%
86.925 2
 
0.1%
73.461 2
 
0.1%
Other values (1591) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.259 1
< 0.1%
51.9 1
< 0.1%
54.737 1
< 0.1%
60.407 1
< 0.1%
61.255 1
< 0.1%
61.858 1
< 0.1%
62.77 1
< 0.1%
64.586 1
< 0.1%
64.933 1
< 0.1%
65.62 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
115.882 1
< 0.1%
114.947 1
< 0.1%
107.986 1
< 0.1%
107.396 1
< 0.1%
107.077 1
< 0.1%
104.498 1
< 0.1%
103.412 1
< 0.1%
103.022 1
< 0.1%
102.873 1
< 0.1%

2015-06
Real number (ℝ)

MISSING 

Distinct1593
Distinct (%)95.4%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.417802
Minimum49.423
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:20.003376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.423
5-th percentile71.2799
Q178.416
median82.629
Q386.7335
95-th percentile92.5605
Maximum119.581
Range70.158
Interquartile range (IQR)8.3175

Descriptive statistics

Standard deviation6.7442481
Coefficient of variation (CV)0.081829992
Kurtosis1.9964278
Mean82.417802
Median Absolute Deviation (MAD)4.1375
Skewness0.094041926
Sum137637.73
Variance45.484882
MonotonicityNot monotonic
2023-12-12T07:56:20.116399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.752 3
 
0.1%
86.904 3
 
0.1%
82.029 3
 
0.1%
84.151 2
 
0.1%
87.415 2
 
0.1%
76.045 2
 
0.1%
82.113 2
 
0.1%
89.838 2
 
0.1%
86.034 2
 
0.1%
82.35 2
 
0.1%
Other values (1583) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.423 1
< 0.1%
52.137 1
< 0.1%
54.737 1
< 0.1%
60.613 1
< 0.1%
61.515 1
< 0.1%
62.018 1
< 0.1%
62.938 1
< 0.1%
64.586 1
< 0.1%
64.834 1
< 0.1%
65.62 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
116.032 1
< 0.1%
114.947 1
< 0.1%
108.142 1
< 0.1%
107.398 1
< 0.1%
107.128 1
< 0.1%
104.498 1
< 0.1%
103.412 1
< 0.1%
103.107 1
< 0.1%
103.071 1
< 0.1%

2015-07
Real number (ℝ)

MISSING 

Distinct1612
Distinct (%)96.5%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.563721
Minimum49.571
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:20.233101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.571
5-th percentile71.55235
Q178.58625
median82.751
Q386.82425
95-th percentile92.72085
Maximum119.581
Range70.01
Interquartile range (IQR)8.238

Descriptive statistics

Standard deviation6.7220687
Coefficient of variation (CV)0.081416736
Kurtosis2.0079554
Mean82.563721
Median Absolute Deviation (MAD)4.106
Skewness0.09301437
Sum137881.41
Variance45.186207
MonotonicityNot monotonic
2023-12-12T07:56:20.353765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.267 3
 
0.1%
80.088 2
 
0.1%
86.879 2
 
0.1%
80.158 2
 
0.1%
86.073 2
 
0.1%
84.169 2
 
0.1%
76.2 2
 
0.1%
82.547 2
 
0.1%
78.044 2
 
0.1%
82.594 2
 
0.1%
Other values (1602) 1649
78.3%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.571 1
< 0.1%
52.325 1
< 0.1%
54.923 1
< 0.1%
60.802 1
< 0.1%
61.568 1
< 0.1%
62.382 1
< 0.1%
63.164 1
< 0.1%
65.022 1
< 0.1%
65.112 1
< 0.1%
65.754 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
116.064 1
< 0.1%
114.947 1
< 0.1%
108.298 1
< 0.1%
107.398 1
< 0.1%
107.312 1
< 0.1%
104.498 1
< 0.1%
103.412 1
< 0.1%
103.301 1
< 0.1%
103.271 1
< 0.1%

2015-08
Real number (ℝ)

MISSING 

Distinct1602
Distinct (%)95.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.689448
Minimum49.772
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:20.483236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.772
5-th percentile71.7881
Q178.75675
median82.8665
Q386.9285
95-th percentile92.85215
Maximum119.581
Range69.809
Interquartile range (IQR)8.17175

Descriptive statistics

Standard deviation6.6992174
Coefficient of variation (CV)0.081016594
Kurtosis2.0444761
Mean82.689448
Median Absolute Deviation (MAD)4.074
Skewness0.099128788
Sum138091.38
Variance44.879514
MonotonicityNot monotonic
2023-12-12T07:56:20.642717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.769 3
 
0.1%
89.694 3
 
0.1%
87.267 3
 
0.1%
89.733 3
 
0.1%
73.072 2
 
0.1%
84.169 2
 
0.1%
83.273 2
 
0.1%
73.023 2
 
0.1%
79.712 2
 
0.1%
73.417 2
 
0.1%
Other values (1592) 1646
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.772 1
< 0.1%
52.396 1
< 0.1%
54.923 1
< 0.1%
61.027 1
< 0.1%
61.82 1
< 0.1%
62.871 1
< 0.1%
63.259 1
< 0.1%
64.834 1
< 0.1%
65.688 1
< 0.1%
65.888 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
116.3 1
< 0.1%
114.947 1
< 0.1%
108.373 1
< 0.1%
107.604 1
< 0.1%
107.398 1
< 0.1%
104.498 1
< 0.1%
103.545 1
< 0.1%
103.454 1
< 0.1%
103.412 1
< 0.1%

2015-09
Real number (ℝ)

MISSING 

Distinct1591
Distinct (%)95.3%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.82909
Minimum49.942
Maximum119.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:21.113883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.942
5-th percentile71.9901
Q178.86025
median83.0195
Q387.038
95-th percentile92.9234
Maximum119.581
Range69.639
Interquartile range (IQR)8.17775

Descriptive statistics

Standard deviation6.6875752
Coefficient of variation (CV)0.080739449
Kurtosis2.0855943
Mean82.82909
Median Absolute Deviation (MAD)4.0625
Skewness0.10567733
Sum138324.58
Variance44.723661
MonotonicityNot monotonic
2023-12-12T07:56:21.275303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.999 3
 
0.1%
88.837 3
 
0.1%
80.352 3
 
0.1%
87.607 3
 
0.1%
84.707 3
 
0.1%
77.288 2
 
0.1%
84.135 2
 
0.1%
79.911 2
 
0.1%
82.583 2
 
0.1%
82.488 2
 
0.1%
Other values (1581) 1645
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
49.942 1
< 0.1%
52.431 1
< 0.1%
54.923 1
< 0.1%
61.175 1
< 0.1%
62.054 1
< 0.1%
63.122 1
< 0.1%
63.36 1
< 0.1%
64.814 1
< 0.1%
65.888 1
< 0.1%
66.025 1
< 0.1%
ValueCountFrequency (%)
119.581 1
< 0.1%
116.56 1
< 0.1%
114.947 1
< 0.1%
108.71 1
< 0.1%
107.644 1
< 0.1%
107.474 1
< 0.1%
104.498 1
< 0.1%
104.443 1
< 0.1%
103.772 1
< 0.1%
103.611 1
< 0.1%

2015-10
Real number (ℝ)

MISSING 

Distinct1598
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean82.977961
Minimum50.053
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:21.422200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.053
5-th percentile72.1853
Q179.064
median83.184
Q387.168
95-th percentile92.9371
Maximum121.913
Range71.86
Interquartile range (IQR)8.104

Descriptive statistics

Standard deviation6.6719989
Coefficient of variation (CV)0.080406879
Kurtosis2.2247317
Mean82.977961
Median Absolute Deviation (MAD)4.011
Skewness0.1189832
Sum138573.19
Variance44.515569
MonotonicityNot monotonic
2023-12-12T07:56:21.584296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.734 3
 
0.1%
86.411 3
 
0.1%
80.839 3
 
0.1%
82.402 3
 
0.1%
87.607 3
 
0.1%
85.25 3
 
0.1%
91.259 2
 
0.1%
78.805 2
 
0.1%
87.194 2
 
0.1%
88.977 2
 
0.1%
Other values (1588) 1644
78.0%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
50.053 1
< 0.1%
52.686 1
< 0.1%
54.923 1
< 0.1%
61.302 1
< 0.1%
62.136 1
< 0.1%
63.172 1
< 0.1%
63.467 1
< 0.1%
64.763 1
< 0.1%
65.989 1
< 0.1%
66.779 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.575 1
< 0.1%
114.719 1
< 0.1%
108.919 1
< 0.1%
107.654 1
< 0.1%
107.038 1
< 0.1%
104.498 1
< 0.1%
104.443 1
< 0.1%
104.421 1
< 0.1%
103.865 1
< 0.1%

2015-11
Real number (ℝ)

MISSING 

Distinct1586
Distinct (%)95.0%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.148392
Minimum50.618
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:21.719019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.618
5-th percentile72.4265
Q179.33525
median83.323
Q387.339
95-th percentile93.1242
Maximum121.913
Range71.295
Interquartile range (IQR)8.00375

Descriptive statistics

Standard deviation6.6412463
Coefficient of variation (CV)0.079872216
Kurtosis2.2480353
Mean83.148392
Median Absolute Deviation (MAD)4.0075
Skewness0.12495697
Sum138857.82
Variance44.106153
MonotonicityNot monotonic
2023-12-12T07:56:21.861382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.807 3
 
0.1%
83.296 3
 
0.1%
81.204 3
 
0.1%
83.152 3
 
0.1%
87.867 3
 
0.1%
83.635 2
 
0.1%
82.125 2
 
0.1%
83.099 2
 
0.1%
84.101 2
 
0.1%
77.31 2
 
0.1%
Other values (1576) 1645
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
50.618 1
< 0.1%
52.85 1
< 0.1%
54.923 1
< 0.1%
61.541 1
< 0.1%
62.281 1
< 0.1%
63.349 1
< 0.1%
63.769 1
< 0.1%
64.641 1
< 0.1%
66.319 1
< 0.1%
67.107 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.78 1
< 0.1%
114.719 1
< 0.1%
109.285 1
< 0.1%
107.753 1
< 0.1%
107.038 1
< 0.1%
104.498 1
< 0.1%
104.447 1
< 0.1%
104.443 1
< 0.1%
103.939 1
< 0.1%

2015-12
Real number (ℝ)

MISSING 

Distinct1584
Distinct (%)94.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.326428
Minimum50.901
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:22.009384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.901
5-th percentile72.667
Q179.50975
median83.5335
Q387.44075
95-th percentile93.18645
Maximum121.913
Range71.012
Interquartile range (IQR)7.931

Descriptive statistics

Standard deviation6.6085066
Coefficient of variation (CV)0.079308651
Kurtosis2.2621383
Mean83.326428
Median Absolute Deviation (MAD)3.9565
Skewness0.11541559
Sum139155.14
Variance43.67236
MonotonicityNot monotonic
2023-12-12T07:56:22.155794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.773 3
 
0.1%
87.867 3
 
0.1%
79.58 3
 
0.1%
81.438 2
 
0.1%
83.249 2
 
0.1%
82.858 2
 
0.1%
85.684 2
 
0.1%
92.576 2
 
0.1%
79.22 2
 
0.1%
78.161 2
 
0.1%
Other values (1574) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
50.901 1
< 0.1%
53.099 1
< 0.1%
55.141 1
< 0.1%
62.008 1
< 0.1%
62.665 1
< 0.1%
63.701 1
< 0.1%
63.916 1
< 0.1%
64.561 1
< 0.1%
66.319 1
< 0.1%
67.323 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.917 1
< 0.1%
114.719 1
< 0.1%
109.438 1
< 0.1%
107.925 1
< 0.1%
106.78 1
< 0.1%
104.558 1
< 0.1%
104.498 1
< 0.1%
104.447 1
< 0.1%
104.335 1
< 0.1%

2016-01
Real number (ℝ)

MISSING 

Distinct1598
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.445361
Minimum50.993
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:22.287529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.993
5-th percentile72.78975
Q179.57225
median83.6745
Q387.56325
95-th percentile93.23305
Maximum121.913
Range70.92
Interquartile range (IQR)7.991

Descriptive statistics

Standard deviation6.5886402
Coefficient of variation (CV)0.078957537
Kurtosis2.2756082
Mean83.445361
Median Absolute Deviation (MAD)3.948
Skewness0.11275461
Sum139353.75
Variance43.41018
MonotonicityNot monotonic
2023-12-12T07:56:22.421844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.867 3
 
0.1%
86.273 2
 
0.1%
86.091 2
 
0.1%
74.377 2
 
0.1%
85.602 2
 
0.1%
87.566 2
 
0.1%
91.641 2
 
0.1%
71.661 2
 
0.1%
87.095 2
 
0.1%
86.778 2
 
0.1%
Other values (1588) 1649
78.3%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
50.993 1
< 0.1%
53.12 1
< 0.1%
55.141 1
< 0.1%
62.429 1
< 0.1%
62.788 1
< 0.1%
63.935 1
< 0.1%
64.12 1
< 0.1%
64.769 1
< 0.1%
66.527 1
< 0.1%
67.213 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.917 1
< 0.1%
114.719 1
< 0.1%
109.397 1
< 0.1%
108.0 1
< 0.1%
106.869 1
< 0.1%
104.558 1
< 0.1%
104.498 1
< 0.1%
104.447 1
< 0.1%
104.38 1
< 0.1%

2016-02
Real number (ℝ)

MISSING 

Distinct1585
Distinct (%)94.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.56319
Minimum51.024
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:22.571255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.024
5-th percentile72.9263
Q179.65925
median83.879
Q387.67975
95-th percentile93.2994
Maximum121.913
Range70.889
Interquartile range (IQR)8.0205

Descriptive statistics

Standard deviation6.5749873
Coefficient of variation (CV)0.078682818
Kurtosis2.2831619
Mean83.56319
Median Absolute Deviation (MAD)3.956
Skewness0.10892093
Sum139550.53
Variance43.230458
MonotonicityNot monotonic
2023-12-12T07:56:22.699253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.17 3
 
0.1%
85.94 3
 
0.1%
87.867 3
 
0.1%
89.112 3
 
0.1%
87.248 2
 
0.1%
85.727 2
 
0.1%
88.794 2
 
0.1%
80.948 2
 
0.1%
84.623 2
 
0.1%
81.104 2
 
0.1%
Other values (1575) 1646
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
51.024 1
< 0.1%
53.226 1
< 0.1%
55.141 1
< 0.1%
62.862 1
< 0.1%
62.921 1
< 0.1%
64.292 1
< 0.1%
64.378 1
< 0.1%
64.84 1
< 0.1%
66.658 1
< 0.1%
67.014 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.814 1
< 0.1%
114.895 1
< 0.1%
109.483 1
< 0.1%
108.233 1
< 0.1%
106.869 1
< 0.1%
104.558 1
< 0.1%
104.498 1
< 0.1%
104.467 1
< 0.1%
104.465 1
< 0.1%

2016-03
Real number (ℝ)

MISSING 

Distinct1616
Distinct (%)96.8%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.726808
Minimum51.241
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:22.836967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.241
5-th percentile73.0564
Q179.849
median84.056
Q387.791
95-th percentile93.33535
Maximum121.913
Range70.672
Interquartile range (IQR)7.942

Descriptive statistics

Standard deviation6.5556723
Coefficient of variation (CV)0.078298366
Kurtosis2.2720592
Mean83.726808
Median Absolute Deviation (MAD)3.96
Skewness0.099689575
Sum139823.77
Variance42.976839
MonotonicityNot monotonic
2023-12-12T07:56:22.985401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.155 3
 
0.1%
87.867 3
 
0.1%
79.742 2
 
0.1%
84.719 2
 
0.1%
86.528 2
 
0.1%
78.673 2
 
0.1%
87.749 2
 
0.1%
86.133 2
 
0.1%
80.537 2
 
0.1%
75.594 2
 
0.1%
Other values (1606) 1648
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
51.241 1
< 0.1%
53.393 1
< 0.1%
55.141 1
< 0.1%
63.087 1
< 0.1%
63.381 1
< 0.1%
64.485 1
< 0.1%
64.597 1
< 0.1%
64.997 1
< 0.1%
66.835 1
< 0.1%
66.948 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.814 1
< 0.1%
114.748 1
< 0.1%
109.615 1
< 0.1%
108.144 1
< 0.1%
106.72 1
< 0.1%
104.709 1
< 0.1%
104.558 1
< 0.1%
104.554 1
< 0.1%
104.506 1
< 0.1%

2016-04
Real number (ℝ)

MISSING 

Distinct1602
Distinct (%)95.9%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean83.876296
Minimum51.54
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:23.182392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.54
5-th percentile73.22975
Q180.038
median84.169
Q387.97925
95-th percentile93.36525
Maximum121.913
Range70.373
Interquartile range (IQR)7.94125

Descriptive statistics

Standard deviation6.5271593
Coefficient of variation (CV)0.077818878
Kurtosis2.1777923
Mean83.876296
Median Absolute Deviation (MAD)3.9425
Skewness0.083010702
Sum140073.41
Variance42.603809
MonotonicityNot monotonic
2023-12-12T07:56:23.380234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.07 4
 
0.2%
89.281 3
 
0.1%
89.404 3
 
0.1%
85.987 2
 
0.1%
90.089 2
 
0.1%
86.582 2
 
0.1%
79.835 2
 
0.1%
86.257 2
 
0.1%
81.435 2
 
0.1%
82.72 2
 
0.1%
Other values (1592) 1646
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
51.54 1
< 0.1%
53.773 1
< 0.1%
55.265 1
< 0.1%
63.33 1
< 0.1%
63.804 1
< 0.1%
64.728 1
< 0.1%
64.91 1
< 0.1%
65.296 1
< 0.1%
66.909 1
< 0.1%
67.154 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.621 1
< 0.1%
112.554 1
< 0.1%
109.723 1
< 0.1%
107.972 1
< 0.1%
106.922 1
< 0.1%
104.583 1
< 0.1%
104.558 1
< 0.1%
104.506 1
< 0.1%
104.502 1
< 0.1%

2016-05
Real number (ℝ)

MISSING 

Distinct1607
Distinct (%)96.2%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.02345
Minimum51.607
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:23.548742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.607
5-th percentile73.44855
Q180.185
median84.3215
Q388.0735
95-th percentile93.52055
Maximum121.913
Range70.306
Interquartile range (IQR)7.8885

Descriptive statistics

Standard deviation6.4997111
Coefficient of variation (CV)0.077355918
Kurtosis2.1499779
Mean84.02345
Median Absolute Deviation (MAD)3.954
Skewness0.07099925
Sum140319.16
Variance42.246245
MonotonicityNot monotonic
2023-12-12T07:56:23.719330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.07 3
 
0.1%
90.71 2
 
0.1%
81.461 2
 
0.1%
83.134 2
 
0.1%
85.743 2
 
0.1%
88.794 2
 
0.1%
79.527 2
 
0.1%
87.009 2
 
0.1%
82.442 2
 
0.1%
75.119 2
 
0.1%
Other values (1597) 1649
78.3%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
51.607 1
< 0.1%
53.817 1
< 0.1%
55.487 1
< 0.1%
63.406 1
< 0.1%
64.176 1
< 0.1%
65.043 1
< 0.1%
65.173 1
< 0.1%
65.48 1
< 0.1%
66.99 1
< 0.1%
67.662 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.623 1
< 0.1%
111.219 1
< 0.1%
109.717 1
< 0.1%
107.85 1
< 0.1%
106.576 1
< 0.1%
104.598 1
< 0.1%
104.347 1
< 0.1%
104.323 1
< 0.1%
104.239 1
< 0.1%

2016-06
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.190176
Minimum51.821
Maximum121.913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:23.843276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.821
5-th percentile73.6911
Q180.41375
median84.5035
Q388.29275
95-th percentile93.53185
Maximum121.913
Range70.092
Interquartile range (IQR)7.879

Descriptive statistics

Standard deviation6.4589424
Coefficient of variation (CV)0.07671848
Kurtosis2.1393563
Mean84.190176
Median Absolute Deviation (MAD)3.946
Skewness0.064257832
Sum140597.59
Variance41.717936
MonotonicityNot monotonic
2023-12-12T07:56:23.966797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.951 3
 
0.1%
88.07 3
 
0.1%
86.465 2
 
0.1%
93.528 2
 
0.1%
86.41 2
 
0.1%
85.613 2
 
0.1%
91.08 2
 
0.1%
84.655 2
 
0.1%
74.0 2
 
0.1%
84.93 2
 
0.1%
Other values (1589) 1648
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
51.821 1
< 0.1%
53.875 1
< 0.1%
55.792 1
< 0.1%
63.866 1
< 0.1%
64.484 1
< 0.1%
65.548 1
< 0.1%
65.637 1
< 0.1%
65.858 1
< 0.1%
66.932 1
< 0.1%
67.662 1
< 0.1%
ValueCountFrequency (%)
121.913 1
< 0.1%
116.396 1
< 0.1%
110.878 1
< 0.1%
109.477 1
< 0.1%
107.69 1
< 0.1%
106.494 1
< 0.1%
104.583 1
< 0.1%
104.323 1
< 0.1%
104.228 1
< 0.1%
104.184 1
< 0.1%

2016-07
Real number (ℝ)

MISSING 

Distinct1607
Distinct (%)96.2%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.341738
Minimum52.041
Maximum123.643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:24.097481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.041
5-th percentile74.0069
Q180.5175
median84.652
Q388.368
95-th percentile93.569
Maximum123.643
Range71.602
Interquartile range (IQR)7.8505

Descriptive statistics

Standard deviation6.4266936
Coefficient of variation (CV)0.076198259
Kurtosis2.2670706
Mean84.341738
Median Absolute Deviation (MAD)3.8935
Skewness0.083065331
Sum140850.7
Variance41.30239
MonotonicityNot monotonic
2023-12-12T07:56:24.230940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.201 3
 
0.1%
93.569 3
 
0.1%
89.517 3
 
0.1%
81.553 2
 
0.1%
82.97 2
 
0.1%
88.514 2
 
0.1%
85.485 2
 
0.1%
92.365 2
 
0.1%
85.595 2
 
0.1%
79.325 2
 
0.1%
Other values (1597) 1647
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
52.041 1
< 0.1%
53.935 1
< 0.1%
55.792 1
< 0.1%
64.035 1
< 0.1%
64.983 1
< 0.1%
65.987 1
< 0.1%
66.162 1
< 0.1%
66.434 1
< 0.1%
67.791 1
< 0.1%
67.805 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
116.126 1
< 0.1%
110.54 1
< 0.1%
109.494 1
< 0.1%
107.477 1
< 0.1%
106.494 1
< 0.1%
105.03 1
< 0.1%
104.583 1
< 0.1%
104.169 1
< 0.1%
104.159 1
< 0.1%

2016-08
Real number (ℝ)

MISSING 

Distinct1603
Distinct (%)96.0%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.487949
Minimum52.228
Maximum123.643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:24.373123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.228
5-th percentile74.1793
Q180.67725
median84.798
Q388.459
95-th percentile93.6744
Maximum123.643
Range71.415
Interquartile range (IQR)7.78175

Descriptive statistics

Standard deviation6.3889994
Coefficient of variation (CV)0.075620245
Kurtosis2.2443726
Mean84.487949
Median Absolute Deviation (MAD)3.8595
Skewness0.079465948
Sum141094.87
Variance40.819313
MonotonicityNot monotonic
2023-12-12T07:56:24.526845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.698 3
 
0.1%
88.201 3
 
0.1%
86.531 2
 
0.1%
84.292 2
 
0.1%
87.706 2
 
0.1%
88.191 2
 
0.1%
87.597 2
 
0.1%
82.274 2
 
0.1%
82.88 2
 
0.1%
91.137 2
 
0.1%
Other values (1593) 1648
78.2%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
52.228 1
< 0.1%
54.168 1
< 0.1%
55.792 1
< 0.1%
64.678 1
< 0.1%
65.362 1
< 0.1%
66.137 1
< 0.1%
66.96 1
< 0.1%
67.884 1
< 0.1%
68.118 1
< 0.1%
68.689 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
115.97 1
< 0.1%
109.894 1
< 0.1%
109.475 1
< 0.1%
107.409 1
< 0.1%
106.494 1
< 0.1%
105.03 1
< 0.1%
104.583 1
< 0.1%
104.145 1
< 0.1%
104.094 1
< 0.1%

2016-09
Real number (ℝ)

MISSING 

Distinct1598
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.635438
Minimum52.445
Maximum123.643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:24.667783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.445
5-th percentile74.3536
Q180.7805
median84.8865
Q388.61625
95-th percentile93.8642
Maximum123.643
Range71.198
Interquartile range (IQR)7.83575

Descriptive statistics

Standard deviation6.3544444
Coefficient of variation (CV)0.075080185
Kurtosis2.2466583
Mean84.635438
Median Absolute Deviation (MAD)3.861
Skewness0.081432698
Sum141341.18
Variance40.378964
MonotonicityNot monotonic
2023-12-12T07:56:24.826449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.386 3
 
0.1%
83.965 2
 
0.1%
76.843 2
 
0.1%
89.76 2
 
0.1%
86.799 2
 
0.1%
85.595 2
 
0.1%
87.748 2
 
0.1%
82.289 2
 
0.1%
84.763 2
 
0.1%
85.281 2
 
0.1%
Other values (1588) 1649
78.3%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
52.445 1
< 0.1%
54.537 1
< 0.1%
55.792 1
< 0.1%
64.838 1
< 0.1%
65.792 1
< 0.1%
66.351 1
< 0.1%
67.508 1
< 0.1%
67.983 1
< 0.1%
68.826 1
< 0.1%
68.88 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
115.967 1
< 0.1%
109.764 1
< 0.1%
109.278 1
< 0.1%
107.343 1
< 0.1%
106.336 1
< 0.1%
105.03 1
< 0.1%
104.59 1
< 0.1%
104.334 1
< 0.1%
104.094 1
< 0.1%

2016-10
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)95.7%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.80274
Minimum52.679
Maximum123.643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:24.969587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.679
5-th percentile74.6425
Q180.93175
median85.074
Q388.71675
95-th percentile93.8958
Maximum123.643
Range70.964
Interquartile range (IQR)7.785

Descriptive statistics

Standard deviation6.3153926
Coefficient of variation (CV)0.074471563
Kurtosis2.2622991
Mean84.80274
Median Absolute Deviation (MAD)3.8365
Skewness0.082578065
Sum141620.58
Variance39.884184
MonotonicityNot monotonic
2023-12-12T07:56:25.434948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.208 3
 
0.1%
88.386 3
 
0.1%
90.073 3
 
0.1%
85.106 3
 
0.1%
84.563 2
 
0.1%
81.698 2
 
0.1%
77.798 2
 
0.1%
87.215 2
 
0.1%
86.075 2
 
0.1%
78.017 2
 
0.1%
Other values (1589) 1646
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
52.679 1
< 0.1%
55.084 1
< 0.1%
55.792 1
< 0.1%
65.138 1
< 0.1%
66.049 1
< 0.1%
66.515 1
< 0.1%
67.93 1
< 0.1%
67.983 1
< 0.1%
69.119 1
< 0.1%
69.453 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
115.967 1
< 0.1%
109.669 1
< 0.1%
109.338 1
< 0.1%
107.204 1
< 0.1%
106.336 1
< 0.1%
105.071 1
< 0.1%
104.606 1
< 0.1%
104.332 1
< 0.1%
104.232 1
< 0.1%

2016-11
Real number (ℝ)

MISSING 

Distinct1587
Distinct (%)95.0%
Missing437
Missing (%)20.7%
Infinite0
Infinite (%)0.0%
Mean84.973156
Minimum52.853
Maximum123.643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:25.577013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.853
5-th percentile74.8221
Q181.12475
median85.237
Q388.897
95-th percentile93.93545
Maximum123.643
Range70.79
Interquartile range (IQR)7.77225

Descriptive statistics

Standard deviation6.2885613
Coefficient of variation (CV)0.074006446
Kurtosis2.2255886
Mean84.973156
Median Absolute Deviation (MAD)3.8645
Skewness0.074741769
Sum141905.17
Variance39.546003
MonotonicityNot monotonic
2023-12-12T07:56:25.737389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.525 3
 
0.1%
83.913 3
 
0.1%
88.421 3
 
0.1%
90.853 3
 
0.1%
87.307 3
 
0.1%
84.185 2
 
0.1%
82.708 2
 
0.1%
80.692 2
 
0.1%
82.961 2
 
0.1%
86.972 2
 
0.1%
Other values (1577) 1645
78.1%
(Missing) 437
 
20.7%
ValueCountFrequency (%)
52.853 1
< 0.1%
55.408 1
< 0.1%
55.792 1
< 0.1%
65.469 1
< 0.1%
66.46 1
< 0.1%
66.736 1
< 0.1%
68.075 1
< 0.1%
68.35 1
< 0.1%
69.374 1
< 0.1%
69.453 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
115.206 1
< 0.1%
109.669 1
< 0.1%
109.116 1
< 0.1%
107.216 1
< 0.1%
106.128 1
< 0.1%
105.222 1
< 0.1%
104.57 1
< 0.1%
104.446 1
< 0.1%
104.208 1
< 0.1%

2016-12
Real number (ℝ)

MISSING 

Distinct1591
Distinct (%)95.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean85.077295
Minimum0
Maximum123.643
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:25.899977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74.9405
Q181.28425
median85.398
Q389.01225
95-th percentile93.9991
Maximum123.643
Range123.643
Interquartile range (IQR)7.728

Descriptive statistics

Standard deviation6.5966138
Coefficient of variation (CV)0.077536713
Kurtosis17.809903
Mean85.077295
Median Absolute Deviation (MAD)3.884
Skewness-1.2106445
Sum142419.39
Variance43.515313
MonotonicityNot monotonic
2023-12-12T07:56:26.053806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.861 3
 
0.1%
89.662 3
 
0.1%
88.421 3
 
0.1%
85.799 3
 
0.1%
91.773 3
 
0.1%
86.951 3
 
0.1%
89.102 3
 
0.1%
76.454 2
 
0.1%
87.528 2
 
0.1%
89.437 2
 
0.1%
Other values (1581) 1647
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
53.089 1
< 0.1%
55.792 1
< 0.1%
55.852 1
< 0.1%
65.928 1
< 0.1%
66.827 1
< 0.1%
66.857 1
< 0.1%
68.19 1
< 0.1%
68.78 1
< 0.1%
69.453 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
114.599 1
< 0.1%
109.669 1
< 0.1%
109.075 1
< 0.1%
107.16 1
< 0.1%
106.128 1
< 0.1%
105.262 1
< 0.1%
104.835 1
< 0.1%
104.555 1
< 0.1%
104.317 1
< 0.1%

2017-01
Real number (ℝ)

MISSING 

Distinct1607
Distinct (%)96.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean85.201656
Minimum0
Maximum123.643
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:26.212297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75.0095
Q181.47
median85.5225
Q389.13475
95-th percentile94.03375
Maximum123.643
Range123.643
Interquartile range (IQR)7.66475

Descriptive statistics

Standard deviation6.5743675
Coefficient of variation (CV)0.077162438
Kurtosis18.116677
Mean85.201656
Median Absolute Deviation (MAD)3.857
Skewness-1.2369683
Sum142627.57
Variance43.222308
MonotonicityNot monotonic
2023-12-12T07:56:26.357903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.773 4
 
0.2%
89.495 4
 
0.2%
88.365 3
 
0.1%
90.082 3
 
0.1%
88.421 3
 
0.1%
84.341 2
 
0.1%
82.737 2
 
0.1%
79.892 2
 
0.1%
88.649 2
 
0.1%
80.385 2
 
0.1%
Other values (1597) 1647
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
53.379 1
< 0.1%
55.975 1
< 0.1%
55.986 1
< 0.1%
66.688 1
< 0.1%
67.059 1
< 0.1%
67.242 1
< 0.1%
68.19 1
< 0.1%
69.269 1
< 0.1%
69.453 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
114.594 1
< 0.1%
109.669 1
< 0.1%
108.916 1
< 0.1%
106.912 1
< 0.1%
105.667 1
< 0.1%
105.214 1
< 0.1%
105.015 1
< 0.1%
104.555 1
< 0.1%
104.121 1
< 0.1%

2017-02
Real number (ℝ)

MISSING 

Distinct1594
Distinct (%)95.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean85.357892
Minimum0
Maximum123.643
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:26.517247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75.23915
Q181.6665
median85.661
Q389.269
95-th percentile94.191
Maximum123.643
Range123.643
Interquartile range (IQR)7.6025

Descriptive statistics

Standard deviation6.545919
Coefficient of variation (CV)0.076687918
Kurtosis18.515544
Mean85.357892
Median Absolute Deviation (MAD)3.829
Skewness-1.2666611
Sum142889.11
Variance42.849056
MonotonicityNot monotonic
2023-12-12T07:56:26.671182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.421 3
 
0.1%
91.773 3
 
0.1%
86.256 3
 
0.1%
86.875 2
 
0.1%
87.072 2
 
0.1%
84.349 2
 
0.1%
87.336 2
 
0.1%
79.296 2
 
0.1%
87.365 2
 
0.1%
83.045 2
 
0.1%
Other values (1584) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
53.797 1
< 0.1%
56.009 1
< 0.1%
56.458 1
< 0.1%
66.762 1
< 0.1%
67.213 1
< 0.1%
67.937 1
< 0.1%
68.394 1
< 0.1%
69.453 1
< 0.1%
69.761 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
114.36 1
< 0.1%
109.669 1
< 0.1%
108.692 1
< 0.1%
106.799 1
< 0.1%
105.437 1
< 0.1%
105.214 1
< 0.1%
105.136 1
< 0.1%
104.4 1
< 0.1%
103.919 1
< 0.1%

2017-03
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)95.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean85.578735
Minimum0
Maximum123.643
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:26.837740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75.55765
Q181.976
median85.8825
Q389.45475
95-th percentile94.4468
Maximum123.643
Range123.643
Interquartile range (IQR)7.47875

Descriptive statistics

Standard deviation6.4998579
Coefficient of variation (CV)0.075951788
Kurtosis19.16
Mean85.578735
Median Absolute Deviation (MAD)3.796
Skewness-1.3235883
Sum143258.8
Variance42.248153
MonotonicityNot monotonic
2023-12-12T07:56:27.022437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.423 4
 
0.2%
88.421 3
 
0.1%
91.793 3
 
0.1%
82.876 3
 
0.1%
88.372 3
 
0.1%
82.479 3
 
0.1%
87.232 3
 
0.1%
88.818 2
 
0.1%
85.249 2
 
0.1%
88.976 2
 
0.1%
Other values (1589) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
54.243 1
< 0.1%
56.153 1
< 0.1%
56.735 1
< 0.1%
67.225 1
< 0.1%
67.571 1
< 0.1%
68.449 1
< 0.1%
68.481 1
< 0.1%
69.846 1
< 0.1%
70.035 1
< 0.1%
ValueCountFrequency (%)
123.643 1
< 0.1%
113.773 1
< 0.1%
109.303 1
< 0.1%
108.068 1
< 0.1%
106.585 1
< 0.1%
105.437 1
< 0.1%
105.27 1
< 0.1%
104.578 1
< 0.1%
104.266 1
< 0.1%
103.792 1
< 0.1%

2017-04
Real number (ℝ)

MISSING 

Distinct1591
Distinct (%)95.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean85.798233
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:27.193130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75.85415
Q182.18925
median86.09
Q389.649
95-th percentile94.5325
Maximum126.371
Range126.371
Interquartile range (IQR)7.45975

Descriptive statistics

Standard deviation6.4567755
Coefficient of variation (CV)0.075255344
Kurtosis20.000814
Mean85.798233
Median Absolute Deviation (MAD)3.7365
Skewness-1.3490518
Sum143626.24
Variance41.68995
MonotonicityNot monotonic
2023-12-12T07:56:27.375575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.712 3
 
0.1%
88.658 3
 
0.1%
91.34 3
 
0.1%
82.842 3
 
0.1%
91.14 2
 
0.1%
91.773 2
 
0.1%
93.095 2
 
0.1%
82.243 2
 
0.1%
89.093 2
 
0.1%
85.8 2
 
0.1%
Other values (1581) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
54.559 1
< 0.1%
56.639 1
< 0.1%
57.09 1
< 0.1%
67.317 1
< 0.1%
67.773 1
< 0.1%
68.674 1
< 0.1%
68.978 1
< 0.1%
70.036 1
< 0.1%
70.434 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
112.796 1
< 0.1%
109.303 1
< 0.1%
108.006 1
< 0.1%
106.363 1
< 0.1%
105.528 1
< 0.1%
105.322 1
< 0.1%
104.388 1
< 0.1%
103.748 1
< 0.1%
103.744 1
< 0.1%

2017-05
Real number (ℝ)

MISSING 

Distinct1587
Distinct (%)94.8%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean86.031903
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:27.544708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76.11955
Q182.46825
median86.2965
Q389.8295
95-th percentile94.4984
Maximum126.371
Range126.371
Interquartile range (IQR)7.36125

Descriptive statistics

Standard deviation6.392992
Coefficient of variation (CV)0.074309551
Kurtosis20.962634
Mean86.031903
Median Absolute Deviation (MAD)3.6925
Skewness-1.4077697
Sum144017.4
Variance40.870347
MonotonicityNot monotonic
2023-12-12T07:56:27.724915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.068 3
 
0.1%
90.937 3
 
0.1%
87.113 3
 
0.1%
89.138 3
 
0.1%
91.376 3
 
0.1%
88.658 3
 
0.1%
84.35 3
 
0.1%
89.598 3
 
0.1%
89.751 2
 
0.1%
82.972 2
 
0.1%
Other values (1577) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
54.976 1
< 0.1%
57.102 1
< 0.1%
57.569 1
< 0.1%
67.803 1
< 0.1%
68.337 1
< 0.1%
68.991 1
< 0.1%
69.605 1
< 0.1%
70.313 1
< 0.1%
70.515 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
112.358 1
< 0.1%
108.884 1
< 0.1%
107.967 1
< 0.1%
106.186 1
< 0.1%
105.707 1
< 0.1%
105.166 1
< 0.1%
104.388 1
< 0.1%
104.181 1
< 0.1%
103.988 1
< 0.1%

2017-06
Real number (ℝ)

MISSING 

Distinct1594
Distinct (%)95.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean86.301171
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:27.915426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76.5385
Q182.7395
median86.558
Q390.134
95-th percentile94.814
Maximum126.371
Range126.371
Interquartile range (IQR)7.3945

Descriptive statistics

Standard deviation6.3389421
Coefficient of variation (CV)0.073451403
Kurtosis21.88584
Mean86.301171
Median Absolute Deviation (MAD)3.6515
Skewness-1.4670285
Sum144468.16
Variance40.182187
MonotonicityNot monotonic
2023-12-12T07:56:28.131171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.823 3
 
0.1%
85.059 3
 
0.1%
88.658 3
 
0.1%
82.569 3
 
0.1%
88.062 2
 
0.1%
89.27 2
 
0.1%
93.048 2
 
0.1%
87.017 2
 
0.1%
86.088 2
 
0.1%
83.572 2
 
0.1%
Other values (1584) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
55.496 1
< 0.1%
57.235 1
< 0.1%
57.938 1
< 0.1%
68.107 1
< 0.1%
68.729 1
< 0.1%
69.841 1
< 0.1%
70.298 1
< 0.1%
70.586 1
< 0.1%
70.699 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
111.61 1
< 0.1%
108.816 1
< 0.1%
107.465 1
< 0.1%
106.066 1
< 0.1%
105.899 1
< 0.1%
104.999 1
< 0.1%
104.388 1
< 0.1%
104.204 1
< 0.1%
104.169 1
< 0.1%

2017-07
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)95.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean86.558064
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:28.315563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.0723
Q183.03325
median86.7835
Q390.33475
95-th percentile94.9736
Maximum126.371
Range126.371
Interquartile range (IQR)7.3015

Descriptive statistics

Standard deviation6.2834084
Coefficient of variation (CV)0.072591831
Kurtosis22.833102
Mean86.558064
Median Absolute Deviation (MAD)3.634
Skewness-1.5197823
Sum144898.2
Variance39.481221
MonotonicityNot monotonic
2023-12-12T07:56:28.494670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.32 3
 
0.1%
85.679 3
 
0.1%
88.486 3
 
0.1%
90.193 3
 
0.1%
86.777 2
 
0.1%
90.393 2
 
0.1%
92.405 2
 
0.1%
85.851 2
 
0.1%
88.359 2
 
0.1%
83.972 2
 
0.1%
Other values (1589) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
55.999 1
< 0.1%
57.869 1
< 0.1%
58.51 1
< 0.1%
69.271 1
< 0.1%
69.382 1
< 0.1%
69.841 1
< 0.1%
70.931 1
< 0.1%
70.942 1
< 0.1%
71.379 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
111.041 1
< 0.1%
108.613 1
< 0.1%
107.106 1
< 0.1%
106.008 1
< 0.1%
105.569 1
< 0.1%
104.999 1
< 0.1%
104.599 1
< 0.1%
104.282 1
< 0.1%
104.176 1
< 0.1%

2017-08
Real number (ℝ)

MISSING 

Distinct1588
Distinct (%)94.9%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean86.810633
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:28.653587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.4163
Q183.30475
median87.1125
Q390.5455
95-th percentile95.1566
Maximum126.371
Range126.371
Interquartile range (IQR)7.24075

Descriptive statistics

Standard deviation6.2295113
Coefficient of variation (CV)0.071759773
Kurtosis23.825871
Mean86.810633
Median Absolute Deviation (MAD)3.6075
Skewness-1.5810413
Sum145321
Variance38.80681
MonotonicityNot monotonic
2023-12-12T07:56:28.840171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.561 3
 
0.1%
91.866 2
 
0.1%
95.256 2
 
0.1%
89.163 2
 
0.1%
86.103 2
 
0.1%
79.143 2
 
0.1%
91.695 2
 
0.1%
83.875 2
 
0.1%
85.336 2
 
0.1%
92.493 2
 
0.1%
Other values (1578) 1653
78.5%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
56.559 1
< 0.1%
58.237 1
< 0.1%
59.158 1
< 0.1%
69.399 1
< 0.1%
69.765 1
< 0.1%
70.679 1
< 0.1%
71.202 1
< 0.1%
71.461 1
< 0.1%
71.658 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
110.478 1
< 0.1%
108.544 1
< 0.1%
107.298 1
< 0.1%
105.838 1
< 0.1%
105.114 1
< 0.1%
104.732 1
< 0.1%
104.705 1
< 0.1%
104.599 1
< 0.1%
104.288 1
< 0.1%

2017-09
Real number (ℝ)

MISSING 

Distinct1592
Distinct (%)95.1%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean87.041509
Minimum0
Maximum126.371
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:29.080893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.61295
Q183.5555
median87.377
Q390.7245
95-th percentile95.31055
Maximum126.371
Range126.371
Interquartile range (IQR)7.169

Descriptive statistics

Standard deviation6.1888555
Coefficient of variation (CV)0.071102346
Kurtosis24.613094
Mean87.041509
Median Absolute Deviation (MAD)3.5725
Skewness-1.6435074
Sum145707.49
Variance38.301932
MonotonicityNot monotonic
2023-12-12T07:56:29.238927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.561 3
 
0.1%
83.997 3
 
0.1%
87.635 3
 
0.1%
89.497 3
 
0.1%
94.858 2
 
0.1%
95.256 2
 
0.1%
92.645 2
 
0.1%
92.468 2
 
0.1%
90.77 2
 
0.1%
84.951 2
 
0.1%
Other values (1582) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
57.179 1
< 0.1%
58.56 1
< 0.1%
59.543 1
< 0.1%
69.752 1
< 0.1%
70.209 1
< 0.1%
70.997 1
< 0.1%
71.912 1
< 0.1%
71.984 1
< 0.1%
72.088 1
< 0.1%
ValueCountFrequency (%)
126.371 1
< 0.1%
110.075 1
< 0.1%
108.539 1
< 0.1%
106.793 1
< 0.1%
105.673 1
< 0.1%
104.294 1
< 0.1%
104.208 1
< 0.1%
104.18 1
< 0.1%
104.034 1
< 0.1%
103.916 1
< 0.1%

2017-10
Real number (ℝ)

MISSING 

Distinct1612
Distinct (%)96.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean87.250953
Minimum0
Maximum127.735
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:29.383863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile77.84215
Q183.78775
median87.6025
Q390.919
95-th percentile95.5682
Maximum127.735
Range127.735
Interquartile range (IQR)7.13125

Descriptive statistics

Standard deviation6.1414451
Coefficient of variation (CV)0.070388287
Kurtosis25.695086
Mean87.250953
Median Absolute Deviation (MAD)3.5665
Skewness-1.6833393
Sum146058.1
Variance37.717348
MonotonicityNot monotonic
2023-12-12T07:56:29.545232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.033 3
 
0.1%
90.682 3
 
0.1%
86.965 2
 
0.1%
89.773 2
 
0.1%
95.576 2
 
0.1%
93.198 2
 
0.1%
87.928 2
 
0.1%
87.152 2
 
0.1%
89.38 2
 
0.1%
79.971 2
 
0.1%
Other values (1602) 1652
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
57.519 1
< 0.1%
58.826 1
< 0.1%
59.682 1
< 0.1%
70.492 1
< 0.1%
70.553 1
< 0.1%
71.442 1
< 0.1%
72.245 1
< 0.1%
72.515 1
< 0.1%
72.589 1
< 0.1%
ValueCountFrequency (%)
127.735 1
< 0.1%
110.075 1
< 0.1%
108.684 1
< 0.1%
106.58 1
< 0.1%
105.667 1
< 0.1%
103.942 1
< 0.1%
103.916 1
< 0.1%
103.796 1
< 0.1%
103.692 1
< 0.1%
103.609 1
< 0.1%

2017-11
Real number (ℝ)

MISSING 

Distinct1598
Distinct (%)95.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean87.473373
Minimum0
Maximum127.735
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:29.709627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.13905
Q184.003
median87.8125
Q391.16325
95-th percentile95.804
Maximum127.735
Range127.735
Interquartile range (IQR)7.16025

Descriptive statistics

Standard deviation6.0984864
Coefficient of variation (CV)0.069718203
Kurtosis26.618062
Mean87.473373
Median Absolute Deviation (MAD)3.5725
Skewness-1.738964
Sum146430.43
Variance37.191537
MonotonicityNot monotonic
2023-12-12T07:56:30.213081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.336 3
 
0.1%
90.201 3
 
0.1%
88.996 3
 
0.1%
89.033 3
 
0.1%
89.525 3
 
0.1%
91.69 2
 
0.1%
91.514 2
 
0.1%
85.404 2
 
0.1%
89.5 2
 
0.1%
90.496 2
 
0.1%
Other values (1588) 1649
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
57.906 1
< 0.1%
59.153 1
< 0.1%
60.185 1
< 0.1%
70.637 1
< 0.1%
70.988 1
< 0.1%
71.705 1
< 0.1%
72.913 1
< 0.1%
73.021 1
< 0.1%
73.048 1
< 0.1%
ValueCountFrequency (%)
127.735 1
< 0.1%
109.542 1
< 0.1%
108.684 1
< 0.1%
106.458 1
< 0.1%
105.867 1
< 0.1%
103.916 1
< 0.1%
103.853 1
< 0.1%
103.796 1
< 0.1%
103.674 1
< 0.1%
103.648 1
< 0.1%

2017-12
Real number (ℝ)

MISSING 

Distinct1595
Distinct (%)95.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean87.705662
Minimum0
Maximum141.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:30.377525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.43245
Q184.183
median87.9935
Q391.39975
95-th percentile96.0028
Maximum141.8
Range141.8
Interquartile range (IQR)7.21675

Descriptive statistics

Standard deviation6.1225342
Coefficient of variation (CV)0.069807742
Kurtosis28.850305
Mean87.705662
Median Absolute Deviation (MAD)3.5555
Skewness-1.4949408
Sum146819.28
Variance37.485425
MonotonicityNot monotonic
2023-12-12T07:56:30.526343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.524 3
 
0.1%
89.472 3
 
0.1%
88.299 3
 
0.1%
88.452 3
 
0.1%
89.982 2
 
0.1%
88.852 2
 
0.1%
85.873 2
 
0.1%
84.826 2
 
0.1%
89.724 2
 
0.1%
82.218 2
 
0.1%
Other values (1585) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
58.498 1
< 0.1%
59.421 1
< 0.1%
60.633 1
< 0.1%
71.247 1
< 0.1%
71.52 1
< 0.1%
71.777 1
< 0.1%
73.048 1
< 0.1%
73.175 1
< 0.1%
73.179 1
< 0.1%
ValueCountFrequency (%)
141.8 1
< 0.1%
109.246 1
< 0.1%
108.684 1
< 0.1%
106.293 1
< 0.1%
105.981 1
< 0.1%
105.006 1
< 0.1%
103.832 1
< 0.1%
103.718 1
< 0.1%
103.674 1
< 0.1%
103.609 1
< 0.1%

2018-01
Real number (ℝ)

MISSING 

Distinct1592
Distinct (%)95.1%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean87.912045
Minimum0
Maximum141.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:30.701518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.6358
Q184.45825
median88.229
Q391.60075
95-th percentile96.22045
Maximum141.8
Range141.8
Interquartile range (IQR)7.1425

Descriptive statistics

Standard deviation6.0806544
Coefficient of variation (CV)0.069167478
Kurtosis29.793874
Mean87.912045
Median Absolute Deviation (MAD)3.5325
Skewness-1.5463442
Sum147164.76
Variance36.974358
MonotonicityNot monotonic
2023-12-12T07:56:30.881557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.345 3
 
0.1%
89.664 3
 
0.1%
89.821 3
 
0.1%
91.69 2
 
0.1%
87.894 2
 
0.1%
89.173 2
 
0.1%
89.393 2
 
0.1%
88.916 2
 
0.1%
81.051 2
 
0.1%
82.282 2
 
0.1%
Other values (1582) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
58.869 1
< 0.1%
60.179 1
< 0.1%
61.195 1
< 0.1%
71.402 1
< 0.1%
71.543 1
< 0.1%
71.867 1
< 0.1%
73.36 1
< 0.1%
73.494 1
< 0.1%
73.556 1
< 0.1%
ValueCountFrequency (%)
141.8 1
< 0.1%
108.781 1
< 0.1%
108.684 1
< 0.1%
106.115 1
< 0.1%
106.014 1
< 0.1%
105.006 1
< 0.1%
104.033 1
< 0.1%
103.557 1
< 0.1%
103.417 1
< 0.1%
103.388 1
< 0.1%

2018-02
Real number (ℝ)

MISSING 

Distinct1607
Distinct (%)96.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean88.106513
Minimum0
Maximum141.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:31.053000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.9712
Q184.671
median88.461
Q391.72325
95-th percentile96.4247
Maximum141.8
Range141.8
Interquartile range (IQR)7.05225

Descriptive statistics

Standard deviation6.0402682
Coefficient of variation (CV)0.068556433
Kurtosis30.769319
Mean88.106513
Median Absolute Deviation (MAD)3.5265
Skewness-1.5925773
Sum147490.3
Variance36.48484
MonotonicityNot monotonic
2023-12-12T07:56:31.206022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.925 3
 
0.1%
90.563 3
 
0.1%
89.821 3
 
0.1%
88.57 2
 
0.1%
85.309 2
 
0.1%
85.173 2
 
0.1%
89.83 2
 
0.1%
88.075 2
 
0.1%
84.582 2
 
0.1%
87.012 2
 
0.1%
Other values (1597) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
59.124 1
< 0.1%
60.445 1
< 0.1%
61.575 1
< 0.1%
71.6 1
< 0.1%
72.062 1
< 0.1%
72.173 1
< 0.1%
73.51 1
< 0.1%
73.834 1
< 0.1%
73.889 1
< 0.1%
ValueCountFrequency (%)
141.8 1
< 0.1%
108.684 1
< 0.1%
108.19 1
< 0.1%
106.089 1
< 0.1%
106.007 1
< 0.1%
105.949 1
< 0.1%
104.108 1
< 0.1%
103.557 1
< 0.1%
103.388 1
< 0.1%
103.075 1
< 0.1%

2018-03
Real number (ℝ)

MISSING 

Distinct1593
Distinct (%)95.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean88.332358
Minimum0
Maximum141.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:31.341556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile79.32535
Q184.874
median88.663
Q391.911
95-th percentile96.47905
Maximum141.8
Range141.8
Interquartile range (IQR)7.037

Descriptive statistics

Standard deviation5.9837302
Coefficient of variation (CV)0.06774109
Kurtosis32.151731
Mean88.332358
Median Absolute Deviation (MAD)3.506
Skewness-1.6654922
Sum147868.37
Variance35.805027
MonotonicityNot monotonic
2023-12-12T07:56:31.487682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.695 4
 
0.2%
85.688 3
 
0.1%
89.821 3
 
0.1%
87.128 2
 
0.1%
85.494 2
 
0.1%
95.576 2
 
0.1%
89.917 2
 
0.1%
87.181 2
 
0.1%
86.56 2
 
0.1%
88.048 2
 
0.1%
Other values (1583) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
59.504 1
< 0.1%
60.666 1
< 0.1%
62.036 1
< 0.1%
71.703 1
< 0.1%
72.236 1
< 0.1%
72.607 1
< 0.1%
73.933 1
< 0.1%
74.114 1
< 0.1%
74.125 1
< 0.1%
ValueCountFrequency (%)
141.8 1
< 0.1%
108.489 1
< 0.1%
106.822 1
< 0.1%
106.089 1
< 0.1%
105.909 1
< 0.1%
105.654 1
< 0.1%
104.129 1
< 0.1%
103.557 1
< 0.1%
103.324 1
< 0.1%
103.075 1
< 0.1%

2018-04
Real number (ℝ)

MISSING 

Distinct1590
Distinct (%)95.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean88.57956
Minimum0
Maximum141.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:31.667074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile79.70665
Q185.15725
median88.8925
Q392.15925
95-th percentile96.669
Maximum141.8
Range141.8
Interquartile range (IQR)7.002

Descriptive statistics

Standard deviation5.9296487
Coefficient of variation (CV)0.066941501
Kurtosis33.555847
Mean88.57956
Median Absolute Deviation (MAD)3.472
Skewness-1.734589
Sum148282.18
Variance35.160734
MonotonicityNot monotonic
2023-12-12T07:56:31.827167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.387 3
 
0.1%
93.042 3
 
0.1%
90.385 3
 
0.1%
83.496 2
 
0.1%
79.561 2
 
0.1%
87.916 2
 
0.1%
90.113 2
 
0.1%
85.249 2
 
0.1%
89.116 2
 
0.1%
88.218 2
 
0.1%
Other values (1580) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
59.961 1
< 0.1%
61.467 1
< 0.1%
62.553 1
< 0.1%
72.007 1
< 0.1%
72.442 1
< 0.1%
73.015 1
< 0.1%
74.013 1
< 0.1%
74.247 1
< 0.1%
74.662 1
< 0.1%
ValueCountFrequency (%)
141.8 1
< 0.1%
108.489 1
< 0.1%
106.101 1
< 0.1%
106.089 1
< 0.1%
105.655 1
< 0.1%
105.49 1
< 0.1%
104.143 1
< 0.1%
103.515 1
< 0.1%
103.264 1
< 0.1%
102.882 1
< 0.1%

2018-05
Real number (ℝ)

MISSING 

Distinct1574
Distinct (%)94.0%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean88.808227
Minimum0
Maximum108.489
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:31.976797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.2291
Q185.4745
median89.1485
Q392.36575
95-th percentile96.8523
Maximum108.489
Range108.489
Interquartile range (IQR)6.89125

Descriptive statistics

Standard deviation5.7286872
Coefficient of variation (CV)0.064506267
Kurtosis34.706177
Mean88.808227
Median Absolute Deviation (MAD)3.4085
Skewness-2.4126223
Sum148664.97
Variance32.817857
MonotonicityNot monotonic
2023-12-12T07:56:32.164433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.56 4
 
0.2%
90.572 3
 
0.1%
90.91 3
 
0.1%
96.669 2
 
0.1%
95.576 2
 
0.1%
93.891 2
 
0.1%
92.186 2
 
0.1%
93.273 2
 
0.1%
89.115 2
 
0.1%
92.4 2
 
0.1%
Other values (1564) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
60.518 1
< 0.1%
62.007 1
< 0.1%
62.965 1
< 0.1%
72.097 1
< 0.1%
72.442 1
< 0.1%
73.33 1
< 0.1%
74.347 1
< 0.1%
74.416 1
< 0.1%
74.813 1
< 0.1%
ValueCountFrequency (%)
108.489 1
< 0.1%
106.089 1
< 0.1%
105.509 1
< 0.1%
105.353 1
< 0.1%
105.033 1
< 0.1%
104.122 1
< 0.1%
104.096 1
< 0.1%
103.32 1
< 0.1%
103.04 1
< 0.1%
102.882 1
< 0.1%

2018-06
Real number (ℝ)

MISSING 

Distinct1601
Distinct (%)95.6%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean89.060535
Minimum0
Maximum108.457
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:32.320261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.5706
Q185.81275
median89.412
Q392.59375
95-th percentile97.04305
Maximum108.457
Range108.457
Interquartile range (IQR)6.781

Descriptive statistics

Standard deviation5.6534887
Coefficient of variation (CV)0.063479169
Kurtosis36.951195
Mean89.060535
Median Absolute Deviation (MAD)3.347
Skewness-2.5428432
Sum149087.34
Variance31.961935
MonotonicityNot monotonic
2023-12-12T07:56:32.463190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.738 3
 
0.1%
88.936 3
 
0.1%
91.077 3
 
0.1%
90.885 3
 
0.1%
94.74 2
 
0.1%
89.289 2
 
0.1%
94.192 2
 
0.1%
96.456 2
 
0.1%
93.366 2
 
0.1%
94.255 2
 
0.1%
Other values (1591) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
61.192 1
< 0.1%
62.406 1
< 0.1%
63.576 1
< 0.1%
72.355 1
< 0.1%
73.289 1
< 0.1%
73.785 1
< 0.1%
74.441 1
< 0.1%
74.516 1
< 0.1%
75.098 1
< 0.1%
ValueCountFrequency (%)
108.457 1
< 0.1%
106.089 1
< 0.1%
105.317 1
< 0.1%
105.061 1
< 0.1%
105.008 1
< 0.1%
104.126 1
< 0.1%
103.207 1
< 0.1%
102.817 1
< 0.1%
102.638 1
< 0.1%
102.628 1
< 0.1%

2018-07
Real number (ℝ)

MISSING 

Distinct1581
Distinct (%)94.4%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean89.295158
Minimum0
Maximum108.353
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:32.657724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80.9824
Q186.0755
median89.6725
Q392.706
95-th percentile97.258
Maximum108.353
Range108.353
Interquartile range (IQR)6.6305

Descriptive statistics

Standard deviation5.5822346
Coefficient of variation (CV)0.062514416
Kurtosis39.216369
Mean89.295158
Median Absolute Deviation (MAD)3.2895
Skewness-2.644926
Sum149480.09
Variance31.161344
MonotonicityNot monotonic
2023-12-12T07:56:32.811891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.832 3
 
0.1%
93.561 3
 
0.1%
91.977 3
 
0.1%
90.885 3
 
0.1%
88.104 2
 
0.1%
92.894 2
 
0.1%
93.801 2
 
0.1%
92.793 2
 
0.1%
86.046 2
 
0.1%
87.498 2
 
0.1%
Other values (1571) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
61.91 1
< 0.1%
63.86 1
< 0.1%
64.322 1
< 0.1%
72.541 1
< 0.1%
73.533 1
< 0.1%
74.407 1
< 0.1%
74.673 1
< 0.1%
74.795 1
< 0.1%
75.261 1
< 0.1%
ValueCountFrequency (%)
108.353 1
< 0.1%
106.089 1
< 0.1%
105.216 1
< 0.1%
105.016 1
< 0.1%
104.58 1
< 0.1%
104.143 1
< 0.1%
103.202 1
< 0.1%
102.817 1
< 0.1%
102.624 1
< 0.1%
102.593 1
< 0.1%

2018-08
Real number (ℝ)

MISSING 

Distinct1585
Distinct (%)94.7%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean89.594888
Minimum62.322
Maximum107.938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:32.957063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.322
5-th percentile81.39765
Q186.33
median89.944
Q392.892
95-th percentile97.41305
Maximum107.938
Range45.616
Interquartile range (IQR)6.562

Descriptive statistics

Standard deviation5.0619069
Coefficient of variation (CV)0.056497721
Kurtosis1.1163006
Mean89.594888
Median Absolute Deviation (MAD)3.26
Skewness-0.30631549
Sum149981.84
Variance25.622902
MonotonicityNot monotonic
2023-12-12T07:56:33.131789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.079 3
 
0.1%
90.359 3
 
0.1%
89.776 3
 
0.1%
94.523 3
 
0.1%
90.885 3
 
0.1%
94.675 2
 
0.1%
82.74 2
 
0.1%
86.384 2
 
0.1%
86.509 2
 
0.1%
85.207 2
 
0.1%
Other values (1575) 1649
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
62.322 1
< 0.1%
63.86 1
< 0.1%
64.823 1
< 0.1%
72.765 1
< 0.1%
73.705 1
< 0.1%
74.741 1
< 0.1%
74.942 1
< 0.1%
74.979 1
< 0.1%
75.631 1
< 0.1%
75.914 1
< 0.1%
ValueCountFrequency (%)
107.938 1
< 0.1%
105.423 1
< 0.1%
105.026 1
< 0.1%
104.15 1
< 0.1%
103.828 1
< 0.1%
103.827 1
< 0.1%
103.202 1
< 0.1%
102.426 1
< 0.1%
102.267 1
< 0.1%
102.141 1
< 0.1%

2018-09
Real number (ℝ)

MISSING 

Distinct1592
Distinct (%)95.1%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean89.819882
Minimum62.893
Maximum107.902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:33.324906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.893
5-th percentile81.79735
Q186.58575
median90.168
Q393.0635
95-th percentile97.6019
Maximum107.902
Range45.009
Interquartile range (IQR)6.47775

Descriptive statistics

Standard deviation4.9688514
Coefficient of variation (CV)0.055320173
Kurtosis1.1347358
Mean89.819882
Median Absolute Deviation (MAD)3.1755
Skewness-0.32589627
Sum150358.48
Variance24.689484
MonotonicityNot monotonic
2023-12-12T07:56:33.498108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.153 3
 
0.1%
90.885 3
 
0.1%
92.361 3
 
0.1%
95.528 2
 
0.1%
90.085 2
 
0.1%
94.072 2
 
0.1%
92.519 2
 
0.1%
93.586 2
 
0.1%
96.456 2
 
0.1%
90.216 2
 
0.1%
Other values (1582) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
62.893 1
< 0.1%
64.414 1
< 0.1%
65.3 1
< 0.1%
72.822 1
< 0.1%
73.793 1
< 0.1%
75.054 1
< 0.1%
75.126 1
< 0.1%
75.159 1
< 0.1%
75.874 1
< 0.1%
76.37 1
< 0.1%
ValueCountFrequency (%)
107.902 1
< 0.1%
104.733 1
< 0.1%
103.519 1
< 0.1%
103.514 1
< 0.1%
103.489 1
< 0.1%
103.202 1
< 0.1%
103.12 1
< 0.1%
102.426 1
< 0.1%
102.127 1
< 0.1%
102.1 1
< 0.1%

2018-10
Real number (ℝ)

MISSING 

Distinct1579
Distinct (%)94.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean90.077866
Minimum63.692
Maximum106.328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:33.664531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.692
5-th percentile82.07415
Q186.89825
median90.4545
Q393.25125
95-th percentile97.82995
Maximum106.328
Range42.636
Interquartile range (IQR)6.353

Descriptive statistics

Standard deviation4.8687156
Coefficient of variation (CV)0.054050078
Kurtosis1.0494079
Mean90.077866
Median Absolute Deviation (MAD)3.1535
Skewness-0.33553568
Sum150790.35
Variance23.704392
MonotonicityNot monotonic
2023-12-12T07:56:33.833891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.96 3
 
0.1%
95.715 3
 
0.1%
93.429 3
 
0.1%
89.951 3
 
0.1%
91.751 3
 
0.1%
85.736 3
 
0.1%
94.635 3
 
0.1%
86.489 3
 
0.1%
92.115 2
 
0.1%
85.407 2
 
0.1%
Other values (1569) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
63.692 1
< 0.1%
66.168 1
< 0.1%
66.21 1
< 0.1%
73.656 1
< 0.1%
73.793 1
< 0.1%
75.142 1
< 0.1%
75.3 1
< 0.1%
75.845 1
< 0.1%
76.208 1
< 0.1%
76.541 1
< 0.1%
ValueCountFrequency (%)
106.328 1
< 0.1%
104.253 1
< 0.1%
103.514 1
< 0.1%
103.198 1
< 0.1%
103.12 1
< 0.1%
102.727 1
< 0.1%
102.452 1
< 0.1%
102.413 1
< 0.1%
102.133 1
< 0.1%
102.112 1
< 0.1%

2018-11
Real number (ℝ)

MISSING 

Distinct1589
Distinct (%)94.9%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean90.318872
Minimum64.244
Maximum104.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:33.993844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.244
5-th percentile82.6073
Q187.2625
median90.6785
Q393.45075
95-th percentile97.80675
Maximum104.336
Range40.092
Interquartile range (IQR)6.18825

Descriptive statistics

Standard deviation4.757551
Coefficient of variation (CV)0.052675049
Kurtosis1.1252685
Mean90.318872
Median Absolute Deviation (MAD)3.0455
Skewness-0.37868626
Sum151193.79
Variance22.634292
MonotonicityNot monotonic
2023-12-12T07:56:34.392520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.773 3
 
0.1%
89.367 3
 
0.1%
89.771 3
 
0.1%
92.529 3
 
0.1%
95.365 2
 
0.1%
91.6 2
 
0.1%
91.304 2
 
0.1%
92.285 2
 
0.1%
90.844 2
 
0.1%
88.109 2
 
0.1%
Other values (1579) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
64.244 1
< 0.1%
66.168 1
< 0.1%
66.696 1
< 0.1%
73.973 1
< 0.1%
74.117 1
< 0.1%
75.445 1
< 0.1%
75.455 1
< 0.1%
76.231 1
< 0.1%
76.493 1
< 0.1%
76.668 1
< 0.1%
ValueCountFrequency (%)
104.336 1
< 0.1%
103.695 1
< 0.1%
103.514 1
< 0.1%
103.12 1
< 0.1%
103.02 1
< 0.1%
102.302 1
< 0.1%
102.266 1
< 0.1%
102.158 1
< 0.1%
102.151 1
< 0.1%
102.087 1
< 0.1%

2018-12
Real number (ℝ)

MISSING 

Distinct1586
Distinct (%)94.7%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean90.537902
Minimum64.867
Maximum103.514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:34.509146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.867
5-th percentile82.9722
Q187.55725
median90.9185
Q393.6225
95-th percentile97.8457
Maximum103.514
Range38.647
Interquartile range (IQR)6.06525

Descriptive statistics

Standard deviation4.6606504
Coefficient of variation (CV)0.05147734
Kurtosis1.1481169
Mean90.537902
Median Absolute Deviation (MAD)3.0005
Skewness-0.40450758
Sum151560.45
Variance21.721662
MonotonicityNot monotonic
2023-12-12T07:56:34.624033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.893 3
 
0.1%
92.298 3
 
0.1%
92.808 2
 
0.1%
89.029 2
 
0.1%
88.382 2
 
0.1%
87.515 2
 
0.1%
87.476 2
 
0.1%
88.476 2
 
0.1%
89.412 2
 
0.1%
87.715 2
 
0.1%
Other values (1576) 1652
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
64.867 1
< 0.1%
66.765 1
< 0.1%
67.198 1
< 0.1%
74.556 1
< 0.1%
74.737 1
< 0.1%
75.573 1
< 0.1%
76.239 1
< 0.1%
76.587 1
< 0.1%
76.9 1
< 0.1%
76.911 1
< 0.1%
ValueCountFrequency (%)
103.514 1
< 0.1%
103.37 1
< 0.1%
103.161 1
< 0.1%
102.711 1
< 0.1%
102.576 1
< 0.1%
102.428 1
< 0.1%
102.302 1
< 0.1%
102.21 1
< 0.1%
102.074 1
< 0.1%
101.937 1
< 0.1%

2019-01
Real number (ℝ)

MISSING 

Distinct1582
Distinct (%)94.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean90.747321
Minimum65.447
Maximum103.514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:34.737164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.447
5-th percentile83.31625
Q187.8315
median91.1525
Q393.7405
95-th percentile97.85075
Maximum103.514
Range38.067
Interquartile range (IQR)5.909

Descriptive statistics

Standard deviation4.5774301
Coefficient of variation (CV)0.05044149
Kurtosis1.248553
Mean90.747321
Median Absolute Deviation (MAD)2.939
Skewness-0.43055877
Sum151911.02
Variance20.952866
MonotonicityNot monotonic
2023-12-12T07:56:34.847466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.006 3
 
0.1%
92.098 3
 
0.1%
92.298 3
 
0.1%
92.657 2
 
0.1%
91.162 2
 
0.1%
84.36 2
 
0.1%
92.193 2
 
0.1%
99.963 2
 
0.1%
92.674 2
 
0.1%
95.189 2
 
0.1%
Other values (1572) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
65.447 1
< 0.1%
66.765 1
< 0.1%
67.463 1
< 0.1%
74.838 1
< 0.1%
74.91 1
< 0.1%
75.852 1
< 0.1%
76.709 1
< 0.1%
76.938 1
< 0.1%
77.083 1
< 0.1%
77.179 1
< 0.1%
ValueCountFrequency (%)
103.514 1
< 0.1%
103.299 1
< 0.1%
102.614 1
< 0.1%
102.484 1
< 0.1%
102.46 1
< 0.1%
102.394 1
< 0.1%
102.36 1
< 0.1%
102.311 1
< 0.1%
102.059 1
< 0.1%
101.86 1
< 0.1%

2019-02
Real number (ℝ)

MISSING 

Distinct1579
Distinct (%)94.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean90.935597
Minimum65.792
Maximum102.975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:34.957275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.792
5-th percentile83.62515
Q188.1015
median91.318
Q393.88525
95-th percentile97.7934
Maximum102.975
Range37.183
Interquartile range (IQR)5.78375

Descriptive statistics

Standard deviation4.486909
Coefficient of variation (CV)0.049341613
Kurtosis1.3337638
Mean90.935597
Median Absolute Deviation (MAD)2.8695
Skewness-0.45870671
Sum152226.19
Variance20.132352
MonotonicityNot monotonic
2023-12-12T07:56:35.087183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.402 3
 
0.1%
92.521 3
 
0.1%
92.341 3
 
0.1%
94.301 2
 
0.1%
88.103 2
 
0.1%
88.676 2
 
0.1%
91.496 2
 
0.1%
86.954 2
 
0.1%
90.99 2
 
0.1%
88.263 2
 
0.1%
Other values (1569) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
65.792 1
< 0.1%
66.765 1
< 0.1%
67.828 1
< 0.1%
75.105 1
< 0.1%
75.76 1
< 0.1%
76.068 1
< 0.1%
77.072 1
< 0.1%
77.175 1
< 0.1%
77.438 1
< 0.1%
77.55 1
< 0.1%
ValueCountFrequency (%)
102.975 1
< 0.1%
102.903 1
< 0.1%
102.555 1
< 0.1%
102.488 1
< 0.1%
102.443 1
< 0.1%
102.311 1
< 0.1%
102.186 1
< 0.1%
102.057 1
< 0.1%
102.001 1
< 0.1%
101.869 1
< 0.1%

2019-03
Real number (ℝ)

MISSING 

Distinct1584
Distinct (%)94.6%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean91.14247
Minimum66.019
Maximum102.713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:35.210078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.019
5-th percentile84.00955
Q188.346
median91.5255
Q394.1055
95-th percentile97.89455
Maximum102.713
Range36.694
Interquartile range (IQR)5.7595

Descriptive statistics

Standard deviation4.4017732
Coefficient of variation (CV)0.048295522
Kurtosis1.4238004
Mean91.14247
Median Absolute Deviation (MAD)2.8015
Skewness-0.49509947
Sum152572.49
Variance19.375607
MonotonicityNot monotonic
2023-12-12T07:56:35.319355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.341 3
 
0.1%
90.503 3
 
0.1%
92.192 3
 
0.1%
89.149 2
 
0.1%
91.528 2
 
0.1%
91.786 2
 
0.1%
89.218 2
 
0.1%
93.151 2
 
0.1%
91.615 2
 
0.1%
91.791 2
 
0.1%
Other values (1574) 1651
78.4%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
66.019 1
< 0.1%
67.011 1
< 0.1%
68.412 1
< 0.1%
75.15 1
< 0.1%
76.268 1
< 0.1%
76.343 1
< 0.1%
77.423 1
< 0.1%
77.705 1
< 0.1%
77.835 1
< 0.1%
77.968 1
< 0.1%
ValueCountFrequency (%)
102.713 1
< 0.1%
102.599 1
< 0.1%
102.483 1
< 0.1%
102.394 1
< 0.1%
102.311 1
< 0.1%
102.057 1
< 0.1%
102.048 1
< 0.1%
102.014 1
< 0.1%
101.798 1
< 0.1%
101.298 1
< 0.1%

2019-04
Real number (ℝ)

MISSING 

Distinct1554
Distinct (%)92.8%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean91.359866
Minimum66.423
Maximum102.631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:35.428980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.423
5-th percentile84.3839
Q188.66875
median91.7505
Q394.2665
95-th percentile97.9767
Maximum102.631
Range36.208
Interquartile range (IQR)5.59775

Descriptive statistics

Standard deviation4.3225584
Coefficient of variation (CV)0.047313537
Kurtosis1.533324
Mean91.359866
Median Absolute Deviation (MAD)2.7635
Skewness-0.52725156
Sum152936.42
Variance18.684511
MonotonicityNot monotonic
2023-12-12T07:56:35.539531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.634 3
 
0.1%
91.12 3
 
0.1%
90.331 3
 
0.1%
92.341 3
 
0.1%
89.209 3
 
0.1%
92.525 3
 
0.1%
93.578 3
 
0.1%
88.817 2
 
0.1%
93.513 2
 
0.1%
90.959 2
 
0.1%
Other values (1544) 1647
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
66.423 1
< 0.1%
67.011 1
< 0.1%
68.615 1
< 0.1%
75.397 1
< 0.1%
76.465 1
< 0.1%
76.862 1
< 0.1%
77.615 1
< 0.1%
78.291 1
< 0.1%
78.367 1
< 0.1%
78.424 1
< 0.1%
ValueCountFrequency (%)
102.631 1
< 0.1%
102.451 1
< 0.1%
102.311 1
< 0.1%
102.302 1
< 0.1%
102.154 1
< 0.1%
102.123 1
< 0.1%
101.959 1
< 0.1%
101.819 1
< 0.1%
101.798 1
< 0.1%
101.188 2
0.1%

2019-05
Real number (ℝ)

MISSING 

Distinct1583
Distinct (%)94.6%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean91.572543
Minimum66.948
Maximum102.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:35.649582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.948
5-th percentile84.7984
Q188.9385
median91.95
Q394.39625
95-th percentile98.12895
Maximum102.51
Range35.562
Interquartile range (IQR)5.45775

Descriptive statistics

Standard deviation4.2278316
Coefficient of variation (CV)0.046169206
Kurtosis1.5339411
Mean91.572543
Median Absolute Deviation (MAD)2.6895
Skewness-0.550389
Sum153292.44
Variance17.87456
MonotonicityNot monotonic
2023-12-12T07:56:35.759154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.341 3
 
0.1%
88.747 3
 
0.1%
90.652 3
 
0.1%
94.07 3
 
0.1%
98.759 3
 
0.1%
91.283 3
 
0.1%
84.811 2
 
0.1%
94.46 2
 
0.1%
92.209 2
 
0.1%
93.82 2
 
0.1%
Other values (1573) 1648
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
66.948 1
< 0.1%
67.857 1
< 0.1%
69.37 1
< 0.1%
76.171 1
< 0.1%
76.616 1
< 0.1%
77.722 1
< 0.1%
78.028 1
< 0.1%
78.347 1
< 0.1%
78.696 1
< 0.1%
78.894 1
< 0.1%
ValueCountFrequency (%)
102.51 1
< 0.1%
102.323 1
< 0.1%
102.311 1
< 0.1%
102.093 1
< 0.1%
101.933 1
< 0.1%
101.922 1
< 0.1%
101.799 1
< 0.1%
101.591 1
< 0.1%
101.13 2
0.1%
101.104 1
< 0.1%

2019-06
Real number (ℝ)

MISSING 

Distinct1569
Distinct (%)93.7%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean91.770965
Minimum67.555
Maximum102.504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:35.868827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.555
5-th percentile85.198
Q189.188
median92.166
Q394.54475
95-th percentile98.15695
Maximum102.504
Range34.949
Interquartile range (IQR)5.35675

Descriptive statistics

Standard deviation4.1354364
Coefficient of variation (CV)0.045062579
Kurtosis1.592441
Mean91.770965
Median Absolute Deviation (MAD)2.6485
Skewness-0.56845872
Sum153624.6
Variance17.101834
MonotonicityNot monotonic
2023-12-12T07:56:35.979843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.45 3
 
0.1%
93.374 3
 
0.1%
93.142 3
 
0.1%
89.884 3
 
0.1%
89.772 3
 
0.1%
93.234 2
 
0.1%
89.894 2
 
0.1%
96.493 2
 
0.1%
94.935 2
 
0.1%
87.248 2
 
0.1%
Other values (1559) 1649
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
67.555 1
< 0.1%
68.262 1
< 0.1%
70.106 1
< 0.1%
76.492 1
< 0.1%
76.616 1
< 0.1%
78.504 1
< 0.1%
78.517 1
< 0.1%
78.65 1
< 0.1%
78.964 1
< 0.1%
79.077 1
< 0.1%
ValueCountFrequency (%)
102.504 1
< 0.1%
102.458 1
< 0.1%
102.306 1
< 0.1%
102.108 1
< 0.1%
101.762 1
< 0.1%
101.749 1
< 0.1%
101.565 1
< 0.1%
101.467 1
< 0.1%
101.241 2
0.1%
101.146 1
< 0.1%

2019-07
Real number (ℝ)

MISSING 

Distinct1568
Distinct (%)93.7%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean91.960214
Minimum68.182
Maximum102.428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:36.087145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.182
5-th percentile85.5164
Q189.473
median92.348
Q394.65125
95-th percentile98.0891
Maximum102.428
Range34.246
Interquartile range (IQR)5.17825

Descriptive statistics

Standard deviation4.0407406
Coefficient of variation (CV)0.043940095
Kurtosis1.7352168
Mean91.960214
Median Absolute Deviation (MAD)2.58
Skewness-0.60906515
Sum153941.4
Variance16.327584
MonotonicityNot monotonic
2023-12-12T07:56:36.202319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.256 4
 
0.2%
97.981 3
 
0.1%
96.051 3
 
0.1%
92.708 3
 
0.1%
92.762 3
 
0.1%
92.984 3
 
0.1%
94.961 3
 
0.1%
93.25 3
 
0.1%
94.17 2
 
0.1%
87.285 2
 
0.1%
Other values (1558) 1645
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
68.182 1
< 0.1%
68.262 1
< 0.1%
70.509 1
< 0.1%
76.546 1
< 0.1%
77.226 1
< 0.1%
78.715 1
< 0.1%
79.034 1
< 0.1%
79.109 1
< 0.1%
79.197 1
< 0.1%
79.293 1
< 0.1%
ValueCountFrequency (%)
102.428 1
< 0.1%
102.282 1
< 0.1%
102.037 1
< 0.1%
101.997 1
< 0.1%
101.593 1
< 0.1%
101.579 1
< 0.1%
101.52 1
< 0.1%
101.253 1
< 0.1%
101.225 2
0.1%
101.141 1
< 0.1%

2019-08
Real number (ℝ)

MISSING 

Distinct1552
Distinct (%)92.7%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean92.151102
Minimum68.62
Maximum102.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:36.309936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.62
5-th percentile85.79485
Q189.74825
median92.5525
Q394.77075
95-th percentile98.04675
Maximum102.265
Range33.645
Interquartile range (IQR)5.0225

Descriptive statistics

Standard deviation3.9322512
Coefficient of variation (CV)0.042671776
Kurtosis1.795436
Mean92.151102
Median Absolute Deviation (MAD)2.507
Skewness-0.63640737
Sum154260.94
Variance15.462599
MonotonicityNot monotonic
2023-12-12T07:56:36.422681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.908 3
 
0.1%
91.27 3
 
0.1%
91.332 3
 
0.1%
91.335 3
 
0.1%
89.876 3
 
0.1%
88.106 3
 
0.1%
100.47 2
 
0.1%
96.412 2
 
0.1%
94.098 2
 
0.1%
86.761 2
 
0.1%
Other values (1542) 1648
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
68.62 1
< 0.1%
69.713 1
< 0.1%
70.72 1
< 0.1%
76.546 1
< 0.1%
77.588 1
< 0.1%
78.736 1
< 0.1%
79.414 1
< 0.1%
79.59 1
< 0.1%
79.796 1
< 0.1%
79.908 1
< 0.1%
ValueCountFrequency (%)
102.265 1
< 0.1%
102.232 1
< 0.1%
102.19 1
< 0.1%
101.997 1
< 0.1%
101.36 1
< 0.1%
101.312 1
< 0.1%
101.123 1
< 0.1%
101.114 2
0.1%
101.037 1
< 0.1%
100.99 1
< 0.1%

2019-09
Real number (ℝ)

MISSING 

Distinct1560
Distinct (%)93.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean92.322633
Minimum69.175
Maximum102.232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:36.531216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.175
5-th percentile86.1934
Q190.00325
median92.679
Q394.881
95-th percentile98.013
Maximum102.232
Range33.057
Interquartile range (IQR)4.87775

Descriptive statistics

Standard deviation3.8222422
Coefficient of variation (CV)0.041400923
Kurtosis1.9544795
Mean92.322633
Median Absolute Deviation (MAD)2.4315
Skewness-0.67368383
Sum154548.09
Variance14.609535
MonotonicityNot monotonic
2023-12-12T07:56:36.637912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.531 4
 
0.2%
94.131 3
 
0.1%
95.36 3
 
0.1%
94.463 3
 
0.1%
93.666 3
 
0.1%
92.908 3
 
0.1%
93.922 2
 
0.1%
99.577 2
 
0.1%
92.998 2
 
0.1%
90.594 2
 
0.1%
Other values (1550) 1647
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
69.175 1
< 0.1%
69.713 1
< 0.1%
71.314 1
< 0.1%
76.859 1
< 0.1%
78.7 1
< 0.1%
79.103 1
< 0.1%
79.684 1
< 0.1%
80.09 1
< 0.1%
80.299 1
< 0.1%
80.446 1
< 0.1%
ValueCountFrequency (%)
102.232 1
< 0.1%
102.188 1
< 0.1%
101.997 1
< 0.1%
101.692 1
< 0.1%
100.989 1
< 0.1%
100.973 1
< 0.1%
100.947 2
0.1%
100.945 1
< 0.1%
100.876 1
< 0.1%
100.856 1
< 0.1%

2019-10
Real number (ℝ)

MISSING 

Distinct1564
Distinct (%)93.4%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean92.508286
Minimum69.651
Maximum101.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:36.759718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.651
5-th percentile86.509
Q190.2305
median92.8815
Q394.9955
95-th percentile98.041
Maximum101.97
Range32.319
Interquartile range (IQR)4.765

Descriptive statistics

Standard deviation3.6941383
Coefficient of variation (CV)0.039933053
Kurtosis2.0519618
Mean92.508286
Median Absolute Deviation (MAD)2.3855
Skewness-0.70947217
Sum154858.87
Variance13.646658
MonotonicityNot monotonic
2023-12-12T07:56:36.877543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.225 4
 
0.2%
87.448 3
 
0.1%
91.218 3
 
0.1%
95.719 3
 
0.1%
92.908 3
 
0.1%
92.76 3
 
0.1%
93.417 3
 
0.1%
90.722 2
 
0.1%
91.173 2
 
0.1%
94.726 2
 
0.1%
Other values (1554) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
69.651 1
< 0.1%
70.408 1
< 0.1%
71.887 1
< 0.1%
78.546 1
< 0.1%
79.5 1
< 0.1%
79.604 1
< 0.1%
79.829 1
< 0.1%
80.584 1
< 0.1%
80.939 1
< 0.1%
81.017 1
< 0.1%
ValueCountFrequency (%)
101.97 1
< 0.1%
101.501 1
< 0.1%
101.43 1
< 0.1%
101.177 1
< 0.1%
100.841 1
< 0.1%
100.68 1
< 0.1%
100.581 1
< 0.1%
100.454 2
0.1%
100.394 1
< 0.1%
100.389 1
< 0.1%

2019-11
Real number (ℝ)

MISSING 

Distinct1563
Distinct (%)93.4%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean92.698517
Minimum70.098
Maximum101.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:36.996795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.098
5-th percentile86.8351
Q190.51925
median93.0295
Q395.13775
95-th percentile97.981
Maximum101.97
Range31.872
Interquartile range (IQR)4.6185

Descriptive statistics

Standard deviation3.5706291
Coefficient of variation (CV)0.038518729
Kurtosis2.1735298
Mean92.698517
Median Absolute Deviation (MAD)2.302
Skewness-0.74220967
Sum155177.32
Variance12.749392
MonotonicityNot monotonic
2023-12-12T07:56:37.551095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.44 3
 
0.1%
93.299 3
 
0.1%
95.719 3
 
0.1%
92.366 3
 
0.1%
96.028 3
 
0.1%
94.225 3
 
0.1%
93.554 3
 
0.1%
93.251 3
 
0.1%
89.519 3
 
0.1%
94.578 2
 
0.1%
Other values (1553) 1645
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
70.098 1
< 0.1%
71.298 1
< 0.1%
72.303 1
< 0.1%
79.108 1
< 0.1%
79.85 1
< 0.1%
80.027 1
< 0.1%
80.424 1
< 0.1%
81.08 1
< 0.1%
81.604 1
< 0.1%
81.629 1
< 0.1%
ValueCountFrequency (%)
101.97 1
< 0.1%
101.276 1
< 0.1%
101.267 1
< 0.1%
100.637 1
< 0.1%
100.585 1
< 0.1%
100.563 1
< 0.1%
100.194 1
< 0.1%
100.134 1
< 0.1%
100.077 1
< 0.1%
100.051 2
0.1%

2019-12
Real number (ℝ)

MISSING 

Distinct1545
Distinct (%)92.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean92.888237
Minimum70.441
Maximum101.473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:37.716377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.441
5-th percentile87.14205
Q190.812
median93.2315
Q395.28675
95-th percentile97.91885
Maximum101.473
Range31.032
Interquartile range (IQR)4.47475

Descriptive statistics

Standard deviation3.443606
Coefficient of variation (CV)0.037072574
Kurtosis2.1365171
Mean92.888237
Median Absolute Deviation (MAD)2.2465
Skewness-0.74991559
Sum155494.91
Variance11.858422
MonotonicityNot monotonic
2023-12-12T07:56:37.879283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.251 3
 
0.1%
96.067 3
 
0.1%
94.15 3
 
0.1%
94.245 3
 
0.1%
95.641 3
 
0.1%
94.926 3
 
0.1%
96.759 3
 
0.1%
99.703 3
 
0.1%
92.219 2
 
0.1%
91.795 2
 
0.1%
Other values (1535) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
70.441 1
< 0.1%
72.692 1
< 0.1%
73.884 1
< 0.1%
80.183 1
< 0.1%
80.797 1
< 0.1%
80.943 1
< 0.1%
80.976 1
< 0.1%
81.572 1
< 0.1%
82.085 1
< 0.1%
82.174 1
< 0.1%
ValueCountFrequency (%)
101.473 1
< 0.1%
101.267 1
< 0.1%
101.153 1
< 0.1%
100.466 1
< 0.1%
100.271 1
< 0.1%
100.195 1
< 0.1%
100.184 1
< 0.1%
100.076 1
< 0.1%
100.051 1
< 0.1%
99.895 1
< 0.1%

2020-01
Real number (ℝ)

MISSING 

Distinct1546
Distinct (%)92.4%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.074476
Minimum70.835
Maximum101.704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:38.045908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.835
5-th percentile87.5226
Q191.01225
median93.4055
Q395.41875
95-th percentile97.9471
Maximum101.704
Range30.869
Interquartile range (IQR)4.4065

Descriptive statistics

Standard deviation3.3332082
Coefficient of variation (CV)0.03581227
Kurtosis2.2456087
Mean93.074476
Median Absolute Deviation (MAD)2.2025
Skewness-0.76295564
Sum155806.67
Variance11.110277
MonotonicityNot monotonic
2023-12-12T07:56:38.217875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.243 3
 
0.1%
94.177 3
 
0.1%
93.967 3
 
0.1%
93.552 3
 
0.1%
94.274 2
 
0.1%
95.048 2
 
0.1%
92.268 2
 
0.1%
90.544 2
 
0.1%
94.038 2
 
0.1%
93.278 2
 
0.1%
Other values (1536) 1650
78.3%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
70.835 1
< 0.1%
73.211 1
< 0.1%
75.073 1
< 0.1%
80.546 1
< 0.1%
80.976 1
< 0.1%
81.802 1
< 0.1%
82.129 1
< 0.1%
82.263 1
< 0.1%
82.306 1
< 0.1%
82.53 1
< 0.1%
ValueCountFrequency (%)
101.704 1
< 0.1%
101.193 1
< 0.1%
101.07 1
< 0.1%
100.334 1
< 0.1%
100.225 1
< 0.1%
100.076 1
< 0.1%
100.009 1
< 0.1%
99.97 1
< 0.1%
99.96 1
< 0.1%
99.779 1
< 0.1%

2020-02
Real number (ℝ)

MISSING 

Distinct1531
Distinct (%)91.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.254956
Minimum71.322
Maximum101.535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:38.369050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.322
5-th percentile87.8925
Q191.2665
median93.582
Q395.565
95-th percentile97.93775
Maximum101.535
Range30.213
Interquartile range (IQR)4.2985

Descriptive statistics

Standard deviation3.2239684
Coefficient of variation (CV)0.034571551
Kurtosis2.3603963
Mean93.254956
Median Absolute Deviation (MAD)2.1265
Skewness-0.78177224
Sum156108.8
Variance10.393973
MonotonicityNot monotonic
2023-12-12T07:56:38.545736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.383 3
 
0.1%
91.901 3
 
0.1%
93.894 3
 
0.1%
93.681 3
 
0.1%
94.581 3
 
0.1%
95.752 3
 
0.1%
94.773 2
 
0.1%
93.883 2
 
0.1%
94.754 2
 
0.1%
94.829 2
 
0.1%
Other values (1521) 1648
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
71.322 1
< 0.1%
73.631 1
< 0.1%
76.294 1
< 0.1%
80.851 1
< 0.1%
81.499 1
< 0.1%
82.368 1
< 0.1%
82.405 1
< 0.1%
82.504 1
< 0.1%
82.774 1
< 0.1%
83.253 1
< 0.1%
ValueCountFrequency (%)
101.535 1
< 0.1%
100.988 1
< 0.1%
100.901 1
< 0.1%
100.212 1
< 0.1%
100.16 1
< 0.1%
99.951 1
< 0.1%
99.949 1
< 0.1%
99.922 1
< 0.1%
99.743 1
< 0.1%
99.729 1
< 0.1%

2020-03
Real number (ℝ)

MISSING 

Distinct1544
Distinct (%)92.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.409789
Minimum71.719
Maximum101.144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:38.724242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.719
5-th percentile88.1346
Q191.4585
median93.706
Q395.69275
95-th percentile97.9177
Maximum101.144
Range29.425
Interquartile range (IQR)4.23425

Descriptive statistics

Standard deviation3.1322807
Coefficient of variation (CV)0.033532682
Kurtosis2.6604729
Mean93.409789
Median Absolute Deviation (MAD)2.072
Skewness-0.83869985
Sum156367.99
Variance9.8111824
MonotonicityNot monotonic
2023-12-12T07:56:38.927788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.768 3
 
0.1%
92.847 3
 
0.1%
90.342 3
 
0.1%
95.905 3
 
0.1%
93.895 3
 
0.1%
91.045 3
 
0.1%
92.79 3
 
0.1%
89.601 2
 
0.1%
97.261 2
 
0.1%
98.866 2
 
0.1%
Other values (1534) 1647
78.2%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
71.719 1
< 0.1%
73.895 1
< 0.1%
76.294 1
< 0.1%
81.019 1
< 0.1%
81.569 1
< 0.1%
82.605 1
< 0.1%
82.66 1
< 0.1%
82.69 1
< 0.1%
83.003 1
< 0.1%
83.656 1
< 0.1%
ValueCountFrequency (%)
101.144 1
< 0.1%
100.988 1
< 0.1%
100.725 1
< 0.1%
100.122 1
< 0.1%
99.977 1
< 0.1%
99.949 1
< 0.1%
99.799 1
< 0.1%
99.774 1
< 0.1%
99.729 1
< 0.1%
99.643 1
< 0.1%

2020-04
Real number (ℝ)

MISSING 

Distinct1539
Distinct (%)91.9%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.548069
Minimum72.029
Maximum101.141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:39.094260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.029
5-th percentile88.4209
Q191.67525
median93.866
Q395.77275
95-th percentile97.9246
Maximum101.141
Range29.112
Interquartile range (IQR)4.0975

Descriptive statistics

Standard deviation3.0542135
Coefficient of variation (CV)0.0326486
Kurtosis2.8540782
Mean93.548069
Median Absolute Deviation (MAD)2.019
Skewness-0.87899695
Sum156599.47
Variance9.3282199
MonotonicityNot monotonic
2023-12-12T07:56:39.247877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.87 4
 
0.2%
95.942 3
 
0.1%
93.536 3
 
0.1%
95.373 3
 
0.1%
94.371 3
 
0.1%
96.777 3
 
0.1%
91.102 3
 
0.1%
92.637 3
 
0.1%
94.949 3
 
0.1%
93.895 3
 
0.1%
Other values (1529) 1643
78.0%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
72.029 1
< 0.1%
74.288 1
< 0.1%
76.795 1
< 0.1%
81.233 1
< 0.1%
81.569 1
< 0.1%
82.66 1
< 0.1%
82.911 1
< 0.1%
83.38 1
< 0.1%
83.787 1
< 0.1%
83.949 1
< 0.1%
ValueCountFrequency (%)
101.141 1
< 0.1%
100.842 1
< 0.1%
100.193 1
< 0.1%
100.01 1
< 0.1%
99.945 1
< 0.1%
99.886 1
< 0.1%
99.792 1
< 0.1%
99.729 1
< 0.1%
99.585 1
< 0.1%
99.566 1
< 0.1%

2020-05
Real number (ℝ)

MISSING 

Distinct1527
Distinct (%)91.2%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.706483
Minimum72.338
Maximum101.033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:39.453364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.338
5-th percentile88.736
Q191.902
median94.017
Q395.8295
95-th percentile97.981
Maximum101.033
Range28.695
Interquartile range (IQR)3.9275

Descriptive statistics

Standard deviation2.9709482
Coefficient of variation (CV)0.031704831
Kurtosis3.1096149
Mean93.706483
Median Absolute Deviation (MAD)1.9585
Skewness-0.91746044
Sum156864.65
Variance8.8265334
MonotonicityNot monotonic
2023-12-12T07:56:39.605279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.917 3
 
0.1%
93.425 3
 
0.1%
95.16 3
 
0.1%
94.463 3
 
0.1%
92.927 3
 
0.1%
95.26 3
 
0.1%
96.415 3
 
0.1%
96.37 3
 
0.1%
94.473 3
 
0.1%
94.078 2
 
0.1%
Other values (1517) 1645
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
72.338 1
< 0.1%
74.667 1
< 0.1%
77.12 1
< 0.1%
81.537 1
< 0.1%
82.021 1
< 0.1%
82.76 1
< 0.1%
83.363 1
< 0.1%
83.395 1
< 0.1%
84.041 1
< 0.1%
84.145 1
< 0.1%
ValueCountFrequency (%)
101.033 1
< 0.1%
100.925 1
< 0.1%
100.078 1
< 0.1%
99.869 1
< 0.1%
99.818 1
< 0.1%
99.783 1
< 0.1%
99.765 1
< 0.1%
99.763 1
< 0.1%
99.579 1
< 0.1%
99.558 1
< 0.1%

2020-06
Real number (ℝ)

MISSING 

Distinct1528
Distinct (%)91.3%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean93.883821
Minimum72.656
Maximum100.752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:39.775632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.656
5-th percentile89.09355
Q192.13025
median94.1925
Q395.9685
95-th percentile98.0044
Maximum100.752
Range28.096
Interquartile range (IQR)3.83825

Descriptive statistics

Standard deviation2.8841984
Coefficient of variation (CV)0.030720932
Kurtosis3.4303912
Mean93.883821
Median Absolute Deviation (MAD)1.9125
Skewness-0.97203187
Sum157161.52
Variance8.3186006
MonotonicityNot monotonic
2023-12-12T07:56:39.979798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.502 4
 
0.2%
95.316 3
 
0.1%
94.003 3
 
0.1%
96.777 3
 
0.1%
98.345 3
 
0.1%
92.964 3
 
0.1%
93.862 3
 
0.1%
93.709 2
 
0.1%
92.796 2
 
0.1%
93.465 2
 
0.1%
Other values (1518) 1646
78.1%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
72.656 1
< 0.1%
75.058 1
< 0.1%
77.478 1
< 0.1%
81.985 1
< 0.1%
82.325 1
< 0.1%
83.092 1
< 0.1%
83.463 1
< 0.1%
83.666 1
< 0.1%
84.221 1
< 0.1%
84.438 1
< 0.1%
ValueCountFrequency (%)
100.752 1
< 0.1%
100.2 1
< 0.1%
99.986 1
< 0.1%
99.877 1
< 0.1%
99.752 1
< 0.1%
99.696 1
< 0.1%
99.671 1
< 0.1%
99.627 1
< 0.1%
99.614 1
< 0.1%
99.555 1
< 0.1%

2020-07
Real number (ℝ)

MISSING 

Distinct1505
Distinct (%)89.9%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean94.073806
Minimum73.049
Maximum100.633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:40.136934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.049
5-th percentile89.46975
Q192.3625
median94.3915
Q396.07675
95-th percentile98.04375
Maximum100.633
Range27.584
Interquartile range (IQR)3.71425

Descriptive statistics

Standard deviation2.7804071
Coefficient of variation (CV)0.029555593
Kurtosis3.7391469
Mean94.073806
Median Absolute Deviation (MAD)1.8355
Skewness-1.0064981
Sum157479.55
Variance7.7306635
MonotonicityNot monotonic
2023-12-12T07:56:40.298897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.377 3
 
0.1%
96.412 3
 
0.1%
93.955 3
 
0.1%
95.351 3
 
0.1%
95.777 3
 
0.1%
95.11 3
 
0.1%
98.345 3
 
0.1%
94.848 3
 
0.1%
93.36 3
 
0.1%
92.571 3
 
0.1%
Other values (1495) 1644
78.0%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
73.049 1
< 0.1%
75.36 1
< 0.1%
77.846 1
< 0.1%
82.933 1
< 0.1%
84.01 1
< 0.1%
84.145 1
< 0.1%
84.212 1
< 0.1%
84.399 1
< 0.1%
84.702 1
< 0.1%
84.995 1
< 0.1%
ValueCountFrequency (%)
100.633 1
< 0.1%
99.986 1
< 0.1%
99.877 1
< 0.1%
99.703 1
< 0.1%
99.671 1
< 0.1%
99.627 1
< 0.1%
99.574 1
< 0.1%
99.508 1
< 0.1%
99.416 1
< 0.1%
99.396 1
< 0.1%

2020-08
Real number (ℝ)

MISSING 

Distinct1515
Distinct (%)90.5%
Missing433
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean94.248421
Minimum74.346
Maximum100.489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:40.428122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.346
5-th percentile89.88485
Q192.608
median94.5565
Q396.187
95-th percentile98.04655
Maximum100.489
Range26.143
Interquartile range (IQR)3.579

Descriptive statistics

Standard deviation2.6764668
Coefficient of variation (CV)0.028398002
Kurtosis3.5955542
Mean94.248421
Median Absolute Deviation (MAD)1.7735
Skewness-0.99891786
Sum157771.86
Variance7.1634747
MonotonicityNot monotonic
2023-12-12T07:56:40.578694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.594 4
 
0.2%
94.428 4
 
0.2%
96.439 3
 
0.1%
94.232 3
 
0.1%
96.703 3
 
0.1%
93.787 3
 
0.1%
95.605 3
 
0.1%
94.381 3
 
0.1%
95.133 3
 
0.1%
93.306 3
 
0.1%
Other values (1505) 1642
77.9%
(Missing) 433
 
20.6%
ValueCountFrequency (%)
74.346 1
< 0.1%
76.475 1
< 0.1%
78.699 1
< 0.1%
82.987 1
< 0.1%
84.392 1
< 0.1%
84.408 1
< 0.1%
84.439 1
< 0.1%
84.637 1
< 0.1%
84.914 1
< 0.1%
85.753 1
< 0.1%
ValueCountFrequency (%)
100.489 1
< 0.1%
99.744 1
< 0.1%
99.703 1
< 0.1%
99.67 1
< 0.1%
99.636 1
< 0.1%
99.556 1
< 0.1%
99.502 1
< 0.1%
99.404 1
< 0.1%
99.386 1
< 0.1%
99.365 1
< 0.1%

2020-09
Real number (ℝ)

MISSING 

Distinct1501
Distinct (%)88.6%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean94.463705
Minimum76.869
Maximum100.532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:40.755855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.869
5-th percentile90.22125
Q192.8915
median94.757
Q396.323
95-th percentile98.1694
Maximum100.532
Range23.663
Interquartile range (IQR)3.4315

Descriptive statistics

Standard deviation2.5849026
Coefficient of variation (CV)0.027363976
Kurtosis2.9522644
Mean94.463705
Median Absolute Deviation (MAD)1.696
Skewness-0.93767109
Sum160021.52
Variance6.6817212
MonotonicityNot monotonic
2023-12-12T07:56:40.888490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.023 4
 
0.2%
94.559 3
 
0.1%
95.764 3
 
0.1%
94.384 3
 
0.1%
97.014 3
 
0.1%
95.665 3
 
0.1%
92.606 3
 
0.1%
93.108 3
 
0.1%
92.077 3
 
0.1%
98.482 3
 
0.1%
Other values (1491) 1663
78.9%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
76.869 1
< 0.1%
78.203 1
< 0.1%
79.004 1
< 0.1%
84.062 1
< 0.1%
84.689 1
< 0.1%
84.886 1
< 0.1%
84.941 1
< 0.1%
85.133 1
< 0.1%
85.261 1
< 0.1%
86.029 1
< 0.1%
ValueCountFrequency (%)
100.532 1
< 0.1%
99.703 1
< 0.1%
99.669 1
< 0.1%
99.636 1
< 0.1%
99.63 1
< 0.1%
99.554 1
< 0.1%
99.462 1
< 0.1%
99.435 1
< 0.1%
99.419 1
< 0.1%
99.36 1
< 0.1%

2020-10
Real number (ℝ)

MISSING 

Distinct1522
Distinct (%)89.8%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean94.657192
Minimum78.861
Maximum100.546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:41.024714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.861
5-th percentile90.63945
Q193.1705
median94.947
Q396.426
95-th percentile98.2213
Maximum100.546
Range21.685
Interquartile range (IQR)3.2555

Descriptive statistics

Standard deviation2.4789597
Coefficient of variation (CV)0.026188815
Kurtosis2.6898153
Mean94.657192
Median Absolute Deviation (MAD)1.632
Skewness-0.92011735
Sum160349.28
Variance6.145241
MonotonicityNot monotonic
2023-12-12T07:56:41.151253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.117 5
 
0.2%
98.862 4
 
0.2%
92.261 3
 
0.1%
96.939 3
 
0.1%
96.642 3
 
0.1%
96.991 3
 
0.1%
93.73 3
 
0.1%
98.537 3
 
0.1%
97.536 3
 
0.1%
92.477 3
 
0.1%
Other values (1512) 1661
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
78.861 1
< 0.1%
79.437 1
< 0.1%
79.658 1
< 0.1%
84.517 1
< 0.1%
84.873 1
< 0.1%
85.23 1
< 0.1%
85.549 1
< 0.1%
85.674 1
< 0.1%
85.76 1
< 0.1%
86.29 1
< 0.1%
ValueCountFrequency (%)
100.546 1
< 0.1%
99.7 1
< 0.1%
99.636 1
< 0.1%
99.462 1
< 0.1%
99.451 1
< 0.1%
99.435 1
< 0.1%
99.434 1
< 0.1%
99.354 1
< 0.1%
99.341 1
< 0.1%
99.324 1
< 0.1%

2020-11
Real number (ℝ)

MISSING 

Distinct1513
Distinct (%)89.3%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean94.882744
Minimum79.892
Maximum100.772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:41.302629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.892
5-th percentile91.08295
Q193.45425
median95.157
Q396.5965
95-th percentile98.295
Maximum100.772
Range20.88
Interquartile range (IQR)3.14225

Descriptive statistics

Standard deviation2.3595499
Coefficient of variation (CV)0.024868062
Kurtosis2.671672
Mean94.882744
Median Absolute Deviation (MAD)1.56
Skewness-0.91670691
Sum160731.37
Variance5.567476
MonotonicityNot monotonic
2023-12-12T07:56:41.461763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.625 5
 
0.2%
98.542 4
 
0.2%
94.194 3
 
0.1%
93.419 3
 
0.1%
93.348 3
 
0.1%
93.397 3
 
0.1%
95.199 3
 
0.1%
97.3 3
 
0.1%
94.792 3
 
0.1%
95.831 3
 
0.1%
Other values (1503) 1661
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
79.892 1
< 0.1%
80.463 1
< 0.1%
80.737 1
< 0.1%
84.846 1
< 0.1%
85.643 1
< 0.1%
85.899 1
< 0.1%
86.15 1
< 0.1%
86.481 1
< 0.1%
86.527 1
< 0.1%
86.684 1
< 0.1%
ValueCountFrequency (%)
100.772 1
< 0.1%
100.0 1
< 0.1%
99.656 1
< 0.1%
99.636 1
< 0.1%
99.491 1
< 0.1%
99.445 1
< 0.1%
99.436 1
< 0.1%
99.363 1
< 0.1%
99.358 1
< 0.1%
99.354 1
< 0.1%

2020-12
Real number (ℝ)

MISSING 

Distinct1502
Distinct (%)88.7%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean95.126859
Minimum81.038
Maximum100.828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:41.608789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.038
5-th percentile91.4968
Q193.74025
median95.378
Q396.7335
95-th percentile98.34935
Maximum100.828
Range19.79
Interquartile range (IQR)2.99325

Descriptive statistics

Standard deviation2.2386162
Coefficient of variation (CV)0.023532957
Kurtosis2.3665955
Mean95.126859
Median Absolute Deviation (MAD)1.4895
Skewness-0.88232998
Sum161144.9
Variance5.0114027
MonotonicityNot monotonic
2023-12-12T07:56:42.022599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.864 3
 
0.1%
96.764 3
 
0.1%
94.359 3
 
0.1%
94.752 3
 
0.1%
93.62 3
 
0.1%
94.986 3
 
0.1%
94.9 3
 
0.1%
96.886 3
 
0.1%
96.657 3
 
0.1%
92.863 3
 
0.1%
Other values (1492) 1664
79.0%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
81.038 1
< 0.1%
82.052 1
< 0.1%
82.806 1
< 0.1%
85.506 1
< 0.1%
86.383 1
< 0.1%
86.488 1
< 0.1%
86.644 1
< 0.1%
86.727 1
< 0.1%
87.122 1
< 0.1%
87.17 1
< 0.1%
ValueCountFrequency (%)
100.828 1
< 0.1%
100.0 1
< 0.1%
99.651 1
< 0.1%
99.636 1
< 0.1%
99.577 1
< 0.1%
99.516 1
< 0.1%
99.464 1
< 0.1%
99.448 1
< 0.1%
99.436 1
< 0.1%
99.36 2
0.1%

2021-01
Real number (ℝ)

MISSING 

Distinct1504
Distinct (%)88.8%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean95.332112
Minimum81.137
Maximum100.981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:42.131262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.137
5-th percentile91.8308
Q194.02675
median95.5355
Q396.88075
95-th percentile98.397
Maximum100.981
Range19.844
Interquartile range (IQR)2.854

Descriptive statistics

Standard deviation2.1406277
Coefficient of variation (CV)0.022454425
Kurtosis2.4582253
Mean95.332112
Median Absolute Deviation (MAD)1.4195
Skewness-0.88666884
Sum161492.6
Variance4.5822871
MonotonicityNot monotonic
2023-12-12T07:56:42.246079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.503 4
 
0.2%
98.654 4
 
0.2%
95.722 3
 
0.1%
99.085 3
 
0.1%
95.348 3
 
0.1%
97.563 3
 
0.1%
98.381 3
 
0.1%
96.321 3
 
0.1%
96.023 3
 
0.1%
96.059 3
 
0.1%
Other values (1494) 1662
78.9%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
81.137 1
< 0.1%
83.325 1
< 0.1%
84.036 1
< 0.1%
85.98 1
< 0.1%
86.725 1
< 0.1%
86.748 1
< 0.1%
86.995 1
< 0.1%
87.385 1
< 0.1%
87.578 1
< 0.1%
87.693 1
< 0.1%
ValueCountFrequency (%)
100.981 1
< 0.1%
100.0 1
< 0.1%
99.691 1
< 0.1%
99.659 1
< 0.1%
99.594 1
< 0.1%
99.577 1
< 0.1%
99.514 1
< 0.1%
99.469 1
< 0.1%
99.448 1
< 0.1%
99.436 1
< 0.1%

2021-02
Real number (ℝ)

MISSING 

Distinct1484
Distinct (%)87.6%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean95.534256
Minimum81.657
Maximum101.135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:42.361581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.657
5-th percentile92.2003
Q194.307
median95.7265
Q397.0235
95-th percentile98.47075
Maximum101.135
Range19.478
Interquartile range (IQR)2.7165

Descriptive statistics

Standard deviation2.0447631
Coefficient of variation (CV)0.021403454
Kurtosis2.5891367
Mean95.534256
Median Absolute Deviation (MAD)1.3615
Skewness-0.90115314
Sum161835.03
Variance4.181056
MonotonicityNot monotonic
2023-12-12T07:56:42.476658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.556 4
 
0.2%
97.39 3
 
0.1%
94.647 3
 
0.1%
95.237 3
 
0.1%
93.666 3
 
0.1%
94.897 3
 
0.1%
97.278 3
 
0.1%
93.494 3
 
0.1%
94.982 3
 
0.1%
96.24 3
 
0.1%
Other values (1474) 1663
78.9%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
81.657 1
< 0.1%
84.149 1
< 0.1%
85.049 1
< 0.1%
86.262 1
< 0.1%
86.856 1
< 0.1%
87.329 1
< 0.1%
87.802 1
< 0.1%
87.832 1
< 0.1%
88.199 1
< 0.1%
88.215 1
< 0.1%
ValueCountFrequency (%)
101.135 1
< 0.1%
100.0 1
< 0.1%
99.895 1
< 0.1%
99.752 1
< 0.1%
99.691 1
< 0.1%
99.667 1
< 0.1%
99.594 1
< 0.1%
99.549 1
< 0.1%
99.469 1
< 0.1%
99.447 1
< 0.1%

2021-03
Real number (ℝ)

MISSING 

Distinct1491
Distinct (%)88.0%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean95.765224
Minimum82.474
Maximum101.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:42.588186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.474
5-th percentile92.59585
Q194.55725
median95.967
Q397.1775
95-th percentile98.52215
Maximum101.26
Range18.786
Interquartile range (IQR)2.62025

Descriptive statistics

Standard deviation1.9508941
Coefficient of variation (CV)0.020371634
Kurtosis2.6401664
Mean95.765224
Median Absolute Deviation (MAD)1.293
Skewness-0.9216336
Sum162226.29
Variance3.8059878
MonotonicityNot monotonic
2023-12-12T07:56:42.699995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.511 4
 
0.2%
96.212 4
 
0.2%
97.354 4
 
0.2%
97.27 3
 
0.1%
97.551 3
 
0.1%
96.251 3
 
0.1%
94.196 3
 
0.1%
99.085 3
 
0.1%
95.43 3
 
0.1%
98.891 3
 
0.1%
Other values (1481) 1661
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
82.474 1
< 0.1%
85.075 1
< 0.1%
85.927 1
< 0.1%
86.804 1
< 0.1%
86.979 1
< 0.1%
88.028 1
< 0.1%
88.075 1
< 0.1%
88.355 1
< 0.1%
88.799 1
< 0.1%
88.81 1
< 0.1%
ValueCountFrequency (%)
101.26 1
< 0.1%
100.0 1
< 0.1%
99.755 1
< 0.1%
99.752 1
< 0.1%
99.661 1
< 0.1%
99.654 1
< 0.1%
99.594 1
< 0.1%
99.488 1
< 0.1%
99.462 1
< 0.1%
99.459 1
< 0.1%

2021-04
Real number (ℝ)

MISSING 

Distinct1449
Distinct (%)85.5%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean96.006554
Minimum83.166
Maximum101.214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:42.816496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.166
5-th percentile92.9742
Q194.855
median96.189
Q397.3535
95-th percentile98.61335
Maximum101.214
Range18.048
Interquartile range (IQR)2.4985

Descriptive statistics

Standard deviation1.8533706
Coefficient of variation (CV)0.019304626
Kurtosis2.7791879
Mean96.006554
Median Absolute Deviation (MAD)1.2145
Skewness-0.94816193
Sum162635.1
Variance3.4349825
MonotonicityNot monotonic
2023-12-12T07:56:42.939421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.713 4
 
0.2%
95.032 4
 
0.2%
96.99 4
 
0.2%
96.686 4
 
0.2%
95.382 4
 
0.2%
96.521 3
 
0.1%
99.085 3
 
0.1%
98.957 3
 
0.1%
96.7 3
 
0.1%
96.375 3
 
0.1%
Other values (1439) 1659
78.7%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
83.166 1
< 0.1%
86.085 1
< 0.1%
86.74 1
< 0.1%
87.107 1
< 0.1%
87.469 1
< 0.1%
88.414 1
< 0.1%
88.928 1
< 0.1%
89.187 1
< 0.1%
89.222 1
< 0.1%
89.282 1
< 0.1%
ValueCountFrequency (%)
101.214 1
< 0.1%
100.0 1
< 0.1%
99.779 1
< 0.1%
99.755 1
< 0.1%
99.752 1
< 0.1%
99.72 1
< 0.1%
99.659 1
< 0.1%
99.59 1
< 0.1%
99.503 1
< 0.1%
99.494 1
< 0.1%

2021-05
Real number (ℝ)

MISSING 

Distinct1442
Distinct (%)85.1%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean96.24383
Minimum84.07
Maximum101.415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:43.051896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.07
5-th percentile93.3648
Q195.164
median96.397
Q397.51675
95-th percentile98.72035
Maximum101.415
Range17.345
Interquartile range (IQR)2.35275

Descriptive statistics

Standard deviation1.7574447
Coefficient of variation (CV)0.018260337
Kurtosis2.8938582
Mean96.24383
Median Absolute Deviation (MAD)1.16
Skewness-0.96286202
Sum163037.05
Variance3.088612
MonotonicityNot monotonic
2023-12-12T07:56:43.164068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.519 4
 
0.2%
99.021 4
 
0.2%
96.958 4
 
0.2%
96.357 3
 
0.1%
95.988 3
 
0.1%
98.614 3
 
0.1%
99.196 3
 
0.1%
97.364 3
 
0.1%
96.307 3
 
0.1%
97.742 3
 
0.1%
Other values (1432) 1661
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
84.07 1
< 0.1%
86.969 1
< 0.1%
87.222 1
< 0.1%
87.485 1
< 0.1%
87.891 1
< 0.1%
89.425 1
< 0.1%
89.436 1
< 0.1%
89.54 1
< 0.1%
89.602 1
< 0.1%
89.955 1
< 0.1%
ValueCountFrequency (%)
101.415 1
< 0.1%
100.0 1
< 0.1%
99.843 1
< 0.1%
99.779 1
< 0.1%
99.755 1
< 0.1%
99.752 1
< 0.1%
99.703 1
< 0.1%
99.696 1
< 0.1%
99.649 1
< 0.1%
99.643 1
< 0.1%

2021-06
Real number (ℝ)

MISSING 

Distinct1460
Distinct (%)86.2%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean96.484811
Minimum84.746
Maximum101.441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:43.273429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.746
5-th percentile93.76565
Q195.47125
median96.6525
Q397.668
95-th percentile98.82395
Maximum101.441
Range16.695
Interquartile range (IQR)2.19675

Descriptive statistics

Standard deviation1.6552023
Coefficient of variation (CV)0.017155055
Kurtosis2.9776569
Mean96.484811
Median Absolute Deviation (MAD)1.0805
Skewness-0.96063565
Sum163445.27
Variance2.7396946
MonotonicityNot monotonic
2023-12-12T07:56:43.395782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.393 4
 
0.2%
96.666 3
 
0.1%
97.215 3
 
0.1%
96.577 3
 
0.1%
98.082 3
 
0.1%
96.756 3
 
0.1%
96.846 3
 
0.1%
98.017 3
 
0.1%
97.027 3
 
0.1%
97.582 3
 
0.1%
Other values (1450) 1663
78.9%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
84.746 1
< 0.1%
87.967 1
< 0.1%
88.018 1
< 0.1%
88.241 1
< 0.1%
88.638 1
< 0.1%
89.871 1
< 0.1%
90.078 1
< 0.1%
90.16 1
< 0.1%
90.49 1
< 0.1%
90.51 1
< 0.1%
ValueCountFrequency (%)
101.441 1
< 0.1%
100.0 1
< 0.1%
99.904 1
< 0.1%
99.842 1
< 0.1%
99.827 1
< 0.1%
99.779 1
< 0.1%
99.755 1
< 0.1%
99.752 1
< 0.1%
99.703 1
< 0.1%
99.678 1
< 0.1%

2021-07
Real number (ℝ)

MISSING 

Distinct1444
Distinct (%)85.2%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean96.718313
Minimum85.693
Maximum101.394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:43.539491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.693
5-th percentile94.245
Q195.784
median96.863
Q397.817
95-th percentile98.91825
Maximum101.394
Range15.701
Interquartile range (IQR)2.033

Descriptive statistics

Standard deviation1.5463835
Coefficient of variation (CV)0.015988528
Kurtosis3.1817868
Mean96.718313
Median Absolute Deviation (MAD)1.0155
Skewness-0.98000864
Sum163840.82
Variance2.3913019
MonotonicityNot monotonic
2023-12-12T07:56:43.695177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.226 4
 
0.2%
97.905 4
 
0.2%
99.196 4
 
0.2%
96.823 4
 
0.2%
97.264 3
 
0.1%
98.126 3
 
0.1%
96.307 3
 
0.1%
97.79 3
 
0.1%
97.675 3
 
0.1%
95.125 3
 
0.1%
Other values (1434) 1660
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
85.693 1
< 0.1%
88.104 1
< 0.1%
88.889 1
< 0.1%
88.995 1
< 0.1%
89.147 1
< 0.1%
90.136 1
< 0.1%
90.663 1
< 0.1%
90.841 1
< 0.1%
91.18 1
< 0.1%
91.228 1
< 0.1%
ValueCountFrequency (%)
101.394 1
< 0.1%
100.0 1
< 0.1%
99.997 1
< 0.1%
99.827 1
< 0.1%
99.799 1
< 0.1%
99.779 1
< 0.1%
99.776 1
< 0.1%
99.76 1
< 0.1%
99.752 1
< 0.1%
99.728 1
< 0.1%

2021-08
Real number (ℝ)

MISSING 

Distinct1425
Distinct (%)84.1%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean96.967347
Minimum86.437
Maximum101.455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:43.824386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.437
5-th percentile94.6533
Q196.10625
median97.111
Q397.983
95-th percentile99.00135
Maximum101.455
Range15.018
Interquartile range (IQR)1.87675

Descriptive statistics

Standard deviation1.4281586
Coefficient of variation (CV)0.014728243
Kurtosis3.3395511
Mean96.967347
Median Absolute Deviation (MAD)0.937
Skewness-0.98646613
Sum164262.69
Variance2.0396371
MonotonicityNot monotonic
2023-12-12T07:56:44.003646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.218 4
 
0.2%
97.538 4
 
0.2%
98.672 4
 
0.2%
97.537 3
 
0.1%
96.316 3
 
0.1%
96.059 3
 
0.1%
97.746 3
 
0.1%
96.918 3
 
0.1%
97.725 3
 
0.1%
97.123 3
 
0.1%
Other values (1415) 1661
78.8%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
86.437 1
< 0.1%
88.798 1
< 0.1%
89.615 1
< 0.1%
89.766 1
< 0.1%
90.588 1
< 0.1%
90.816 1
< 0.1%
91.525 1
< 0.1%
91.536 1
< 0.1%
91.538 1
< 0.1%
91.747 1
< 0.1%
ValueCountFrequency (%)
101.455 1
< 0.1%
100.182 1
< 0.1%
100.021 1
< 0.1%
100.0 1
< 0.1%
99.858 1
< 0.1%
99.818 1
< 0.1%
99.799 1
< 0.1%
99.773 1
< 0.1%
99.752 1
< 0.1%
99.705 1
< 0.1%

2021-09
Real number (ℝ)

MISSING 

Distinct1391
Distinct (%)82.1%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean97.209508
Minimum87.329
Maximum101.486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:44.122504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.329
5-th percentile95.0767
Q196.39525
median97.322
Q398.14075
95-th percentile99.0918
Maximum101.486
Range14.157
Interquartile range (IQR)1.7455

Descriptive statistics

Standard deviation1.3098301
Coefficient of variation (CV)0.0134743
Kurtosis3.2677676
Mean97.209508
Median Absolute Deviation (MAD)0.8655
Skewness-0.93822476
Sum164672.91
Variance1.7156548
MonotonicityNot monotonic
2023-12-12T07:56:44.238395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.806 4
 
0.2%
96.998 4
 
0.2%
97.642 4
 
0.2%
97.316 4
 
0.2%
97.77 4
 
0.2%
99.283 4
 
0.2%
97.538 4
 
0.2%
95.131 3
 
0.1%
96.528 3
 
0.1%
97.89 3
 
0.1%
Other values (1381) 1657
78.6%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
87.329 1
< 0.1%
89.684 1
< 0.1%
90.569 1
< 0.1%
90.73 1
< 0.1%
91.733 1
< 0.1%
91.876 1
< 0.1%
92.101 1
< 0.1%
92.235 1
< 0.1%
92.457 1
< 0.1%
93.003 1
< 0.1%
ValueCountFrequency (%)
101.486 1
< 0.1%
100.2 1
< 0.1%
100.151 1
< 0.1%
100.0 1
< 0.1%
99.951 1
< 0.1%
99.843 1
< 0.1%
99.799 1
< 0.1%
99.752 1
< 0.1%
99.742 1
< 0.1%
99.726 1
< 0.1%

2021-10
Real number (ℝ)

MISSING 

Distinct1379
Distinct (%)81.4%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean97.445714
Minimum88.508
Maximum100.838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:44.371476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.508
5-th percentile95.5284
Q196.7095
median97.5435
Q398.28075
95-th percentile99.16215
Maximum100.838
Range12.33
Interquartile range (IQR)1.57125

Descriptive statistics

Standard deviation1.1863589
Coefficient of variation (CV)0.012174563
Kurtosis3.2980539
Mean97.445714
Median Absolute Deviation (MAD)0.7945
Skewness-0.93403828
Sum165073.04
Variance1.4074475
MonotonicityNot monotonic
2023-12-12T07:56:44.493896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.328 4
 
0.2%
97.517 4
 
0.2%
97.541 4
 
0.2%
97.034 4
 
0.2%
97.222 4
 
0.2%
95.869 4
 
0.2%
96.864 4
 
0.2%
98.189 4
 
0.2%
97.04 4
 
0.2%
99.643 4
 
0.2%
Other values (1369) 1654
78.5%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
88.508 1
< 0.1%
90.463 1
< 0.1%
91.834 1
< 0.1%
91.849 1
< 0.1%
91.944 1
< 0.1%
92.165 1
< 0.1%
92.469 1
< 0.1%
93.089 1
< 0.1%
93.123 1
< 0.1%
93.53 1
< 0.1%
ValueCountFrequency (%)
100.838 1
< 0.1%
100.232 1
< 0.1%
100.194 1
< 0.1%
100.0 1
< 0.1%
99.843 1
< 0.1%
99.817 1
< 0.1%
99.799 1
< 0.1%
99.766 1
< 0.1%
99.742 1
< 0.1%
99.726 1
< 0.1%

2021-11
Real number (ℝ)

MISSING 

Distinct1336
Distinct (%)78.9%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean97.684727
Minimum89.119
Maximum101.117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:44.619500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.119
5-th percentile95.9743
Q197.0335
median97.7635
Q398.45775
95-th percentile99.2137
Maximum101.117
Range11.998
Interquartile range (IQR)1.42425

Descriptive statistics

Standard deviation1.0745586
Coefficient of variation (CV)0.011000272
Kurtosis4.0533447
Mean97.684727
Median Absolute Deviation (MAD)0.7145
Skewness-0.99794748
Sum165477.93
Variance1.1546761
MonotonicityNot monotonic
2023-12-12T07:56:44.772521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.657 4
 
0.2%
97.731 4
 
0.2%
97.591 4
 
0.2%
99.643 4
 
0.2%
97.035 4
 
0.2%
97.308 3
 
0.1%
98.497 3
 
0.1%
97.966 3
 
0.1%
97.163 3
 
0.1%
98.041 3
 
0.1%
Other values (1326) 1659
78.7%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
89.119 1
< 0.1%
91.218 1
< 0.1%
91.929 1
< 0.1%
92.677 1
< 0.1%
92.756 1
< 0.1%
92.784 1
< 0.1%
92.914 1
< 0.1%
93.611 1
< 0.1%
93.896 1
< 0.1%
94.426 1
< 0.1%
ValueCountFrequency (%)
101.117 1
< 0.1%
100.23 1
< 0.1%
100.189 1
< 0.1%
100.0 1
< 0.1%
99.915 1
< 0.1%
99.843 1
< 0.1%
99.841 1
< 0.1%
99.817 1
< 0.1%
99.799 1
< 0.1%
99.766 1
< 0.1%

2021-12
Real number (ℝ)

MISSING 

Distinct1318
Distinct (%)77.8%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean97.929581
Minimum90.355
Maximum101.007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:44.946051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.355
5-th percentile96.4116
Q197.35525
median98.013
Q398.61675
95-th percentile99.324
Maximum101.007
Range10.652
Interquartile range (IQR)1.2615

Descriptive statistics

Standard deviation0.96011953
Coefficient of variation (CV)0.0098041829
Kurtosis4.0490341
Mean97.929581
Median Absolute Deviation (MAD)0.629
Skewness-1.0080182
Sum165892.71
Variance0.92182951
MonotonicityNot monotonic
2023-12-12T07:56:45.101016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.589 5
 
0.2%
97.279 4
 
0.2%
98.477 4
 
0.2%
97.86 4
 
0.2%
97.875 4
 
0.2%
97.892 4
 
0.2%
98.811 4
 
0.2%
98.764 4
 
0.2%
97.804 4
 
0.2%
98.384 3
 
0.1%
Other values (1308) 1654
78.5%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
90.355 1
< 0.1%
92.038 1
< 0.1%
92.974 1
< 0.1%
93.297 1
< 0.1%
93.393 1
< 0.1%
93.752 1
< 0.1%
93.79 1
< 0.1%
94.227 1
< 0.1%
94.295 1
< 0.1%
94.972 1
< 0.1%
ValueCountFrequency (%)
101.007 1
< 0.1%
100.231 1
< 0.1%
100.201 1
< 0.1%
100.082 1
< 0.1%
100.0 1
< 0.1%
99.882 1
< 0.1%
99.862 1
< 0.1%
99.817 1
< 0.1%
99.799 1
< 0.1%
99.783 1
< 0.1%

2022-01
Real number (ℝ)

MISSING 

Distinct1296
Distinct (%)76.5%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean98.138957
Minimum91.384
Maximum100.673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:45.249444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.384
5-th percentile96.7492
Q197.60675
median98.213
Q398.74975
95-th percentile99.394
Maximum100.673
Range9.289
Interquartile range (IQR)1.143

Descriptive statistics

Standard deviation0.8644148
Coefficient of variation (CV)0.00880807
Kurtosis4.0291605
Mean98.138957
Median Absolute Deviation (MAD)0.5665
Skewness-1.0219723
Sum166247.39
Variance0.74721294
MonotonicityNot monotonic
2023-12-12T07:56:45.753128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.921 5
 
0.2%
98.069 5
 
0.2%
98.038 5
 
0.2%
98.81 4
 
0.2%
98.644 4
 
0.2%
98.775 4
 
0.2%
98.784 4
 
0.2%
98.369 4
 
0.2%
98.425 4
 
0.2%
97.553 4
 
0.2%
Other values (1286) 1651
78.4%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
91.384 1
< 0.1%
92.95 1
< 0.1%
93.5 1
< 0.1%
93.554 1
< 0.1%
94.207 1
< 0.1%
94.466 1
< 0.1%
94.551 1
< 0.1%
94.582 1
< 0.1%
95.044 1
< 0.1%
95.493 1
< 0.1%
ValueCountFrequency (%)
100.673 1
< 0.1%
100.234 1
< 0.1%
100.231 1
< 0.1%
100.0 1
< 0.1%
99.875 1
< 0.1%
99.87 1
< 0.1%
99.827 1
< 0.1%
99.821 1
< 0.1%
99.792 1
< 0.1%
99.789 1
< 0.1%

2022-02
Real number (ℝ)

MISSING 

Distinct1253
Distinct (%)74.0%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean98.344771
Minimum92.639
Maximum100.634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:45.922511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.639
5-th percentile97.09695
Q197.88725
median98.3985
Q398.89275
95-th percentile99.467
Maximum100.634
Range7.995
Interquartile range (IQR)1.0055

Descriptive statistics

Standard deviation0.77250983
Coefficient of variation (CV)0.0078551185
Kurtosis3.8501801
Mean98.344771
Median Absolute Deviation (MAD)0.5015
Skewness-1.0289082
Sum166596.04
Variance0.59677144
MonotonicityNot monotonic
2023-12-12T07:56:46.064788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.193 5
 
0.2%
98.719 5
 
0.2%
98.265 5
 
0.2%
98.385 5
 
0.2%
98.633 5
 
0.2%
98.769 5
 
0.2%
98.169 4
 
0.2%
98.653 4
 
0.2%
98.124 4
 
0.2%
98.195 4
 
0.2%
Other values (1243) 1648
78.2%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
92.639 1
< 0.1%
93.921 1
< 0.1%
93.928 1
< 0.1%
93.944 1
< 0.1%
94.653 1
< 0.1%
95.183 1
< 0.1%
95.222 1
< 0.1%
95.329 1
< 0.1%
95.42 1
< 0.1%
95.908 1
< 0.1%
ValueCountFrequency (%)
100.634 1
< 0.1%
100.266 1
< 0.1%
100.252 1
< 0.1%
100.0 1
< 0.1%
99.889 1
< 0.1%
99.883 1
< 0.1%
99.875 1
< 0.1%
99.842 1
< 0.1%
99.831 1
< 0.1%
99.823 1
< 0.1%

2022-03
Real number (ℝ)

MISSING 

Distinct1194
Distinct (%)70.5%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean98.570254
Minimum93.466
Maximum100.378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:46.237806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.466
5-th percentile97.457
Q198.18825
median98.6265
Q399.057
95-th percentile99.52235
Maximum100.378
Range6.912
Interquartile range (IQR)0.86875

Descriptive statistics

Standard deviation0.67745716
Coefficient of variation (CV)0.0068728357
Kurtosis3.9198672
Mean98.570254
Median Absolute Deviation (MAD)0.4365
Skewness-1.0775793
Sum166978.01
Variance0.4589482
MonotonicityNot monotonic
2023-12-12T07:56:46.386133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.337 5
 
0.2%
98.306 4
 
0.2%
98.704 4
 
0.2%
99.212 4
 
0.2%
98.621 4
 
0.2%
98.63 4
 
0.2%
99.074 4
 
0.2%
99.057 4
 
0.2%
98.989 4
 
0.2%
98.613 4
 
0.2%
Other values (1184) 1653
78.5%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
93.466 1
< 0.1%
94.368 1
< 0.1%
94.952 1
< 0.1%
95.038 1
< 0.1%
95.36 1
< 0.1%
95.835 1
< 0.1%
95.91 1
< 0.1%
95.943 1
< 0.1%
96.123 1
< 0.1%
96.34 1
< 0.1%
ValueCountFrequency (%)
100.378 1
< 0.1%
100.306 1
< 0.1%
100.303 1
< 0.1%
100.0 1
< 0.1%
99.966 1
< 0.1%
99.889 1
< 0.1%
99.875 1
< 0.1%
99.855 1
< 0.1%
99.853 1
< 0.1%
99.842 1
< 0.1%

2022-04
Real number (ℝ)

MISSING 

Distinct1145
Distinct (%)67.6%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean98.800996
Minimum94.733
Maximum100.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:46.515265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.733
5-th percentile97.81935
Q198.46325
median98.8575
Q399.212
95-th percentile99.62805
Maximum100.48
Range5.747
Interquartile range (IQR)0.74875

Descriptive statistics

Standard deviation0.58826381
Coefficient of variation (CV)0.0059540271
Kurtosis3.5956718
Mean98.800996
Median Absolute Deviation (MAD)0.371
Skewness-1.0774702
Sum167368.89
Variance0.34605431
MonotonicityNot monotonic
2023-12-12T07:56:46.647985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.432 7
 
0.3%
98.71 6
 
0.3%
99.017 6
 
0.3%
98.77 5
 
0.2%
98.911 4
 
0.2%
98.734 4
 
0.2%
99.143 4
 
0.2%
98.899 4
 
0.2%
99.272 4
 
0.2%
98.767 4
 
0.2%
Other values (1135) 1646
78.1%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
94.733 1
< 0.1%
94.954 1
< 0.1%
95.812 1
< 0.1%
95.884 1
< 0.1%
95.902 1
< 0.1%
96.538 1
< 0.1%
96.549 1
< 0.1%
96.557 1
< 0.1%
96.711 1
< 0.1%
96.761 1
< 0.1%
ValueCountFrequency (%)
100.48 1
 
< 0.1%
100.335 1
 
< 0.1%
100.305 1
 
< 0.1%
100.113 1
 
< 0.1%
100.0 3
0.1%
99.938 1
 
< 0.1%
99.927 1
 
< 0.1%
99.909 1
 
< 0.1%
99.89 1
 
< 0.1%
99.882 1
 
< 0.1%

2022-05
Real number (ℝ)

MISSING 

Distinct1064
Distinct (%)62.8%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean99.037414
Minimum95.704
Maximum100.513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:46.799598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.704
5-th percentile98.2093
Q198.76025
median99.095
Q399.38175
95-th percentile99.71205
Maximum100.513
Range4.809
Interquartile range (IQR)0.6215

Descriptive statistics

Standard deviation0.49745551
Coefficient of variation (CV)0.0050229049
Kurtosis4.102837
Mean99.037414
Median Absolute Deviation (MAD)0.3
Skewness-1.1945597
Sum167769.38
Variance0.24746199
MonotonicityNot monotonic
2023-12-12T07:56:46.934798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.383 8
 
0.4%
99.249 8
 
0.4%
98.951 6
 
0.3%
98.917 5
 
0.2%
99.504 5
 
0.2%
99.236 5
 
0.2%
99.103 5
 
0.2%
100.0 5
 
0.2%
99.198 5
 
0.2%
99.176 4
 
0.2%
Other values (1054) 1638
77.7%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
95.704 1
< 0.1%
95.736 1
< 0.1%
95.988 1
< 0.1%
96.597 1
< 0.1%
96.607 1
< 0.1%
96.786 1
< 0.1%
96.891 1
< 0.1%
97.175 1
< 0.1%
97.234 1
< 0.1%
97.279 1
< 0.1%
ValueCountFrequency (%)
100.513 1
 
< 0.1%
100.385 1
 
< 0.1%
100.307 1
 
< 0.1%
100.08 1
 
< 0.1%
100.0 5
0.2%
99.968 1
 
< 0.1%
99.95 1
 
< 0.1%
99.938 1
 
< 0.1%
99.933 1
 
< 0.1%
99.922 1
 
< 0.1%

2022-06
Real number (ℝ)

MISSING 

Distinct970
Distinct (%)57.3%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean99.264685
Minimum96.164
Maximum100.581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:47.085756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.164
5-th percentile98.555
Q199.049
median99.328
Q399.54775
95-th percentile99.7937
Maximum100.581
Range4.417
Interquartile range (IQR)0.49875

Descriptive statistics

Standard deviation0.4169182
Coefficient of variation (CV)0.0042000657
Kurtosis5.1565138
Mean99.264685
Median Absolute Deviation (MAD)0.2465
Skewness-1.3634843
Sum168154.38
Variance0.17382078
MonotonicityNot monotonic
2023-12-12T07:56:47.225961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.337 7
 
0.3%
99.378 7
 
0.3%
99.324 7
 
0.3%
99.443 7
 
0.3%
99.62 6
 
0.3%
99.045 6
 
0.3%
100.0 6
 
0.3%
99.509 6
 
0.3%
99.57 5
 
0.2%
99.602 5
 
0.2%
Other values (960) 1632
77.5%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
96.164 1
< 0.1%
96.331 1
< 0.1%
96.902 1
< 0.1%
97.104 1
< 0.1%
97.179 1
< 0.1%
97.262 1
< 0.1%
97.361 1
< 0.1%
97.628 1
< 0.1%
97.675 1
< 0.1%
97.702 1
< 0.1%
ValueCountFrequency (%)
100.581 1
 
< 0.1%
100.576 1
 
< 0.1%
100.52 1
 
< 0.1%
100.317 1
 
< 0.1%
100.165 1
 
< 0.1%
100.005 1
 
< 0.1%
100.0 6
0.3%
99.996 1
 
< 0.1%
99.968 1
 
< 0.1%
99.967 1
 
< 0.1%

2022-07
Real number (ℝ)

MISSING 

Distinct873
Distinct (%)51.5%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean99.48357
Minimum96.978
Maximum100.697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:47.381434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.978
5-th percentile98.913
Q199.314
median99.5455
Q399.719
95-th percentile99.904
Maximum100.697
Range3.719
Interquartile range (IQR)0.405

Descriptive statistics

Standard deviation0.33749069
Coefficient of variation (CV)0.0033924264
Kurtosis5.0249161
Mean99.48357
Median Absolute Deviation (MAD)0.1995
Skewness-1.3364058
Sum168525.17
Variance0.11389997
MonotonicityNot monotonic
2023-12-12T07:56:47.527510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 9
 
0.4%
99.578 8
 
0.4%
99.829 8
 
0.4%
99.667 7
 
0.3%
99.488 6
 
0.3%
99.59 6
 
0.3%
99.392 6
 
0.3%
99.583 6
 
0.3%
99.593 6
 
0.3%
99.649 6
 
0.3%
Other values (863) 1626
77.2%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
96.978 1
< 0.1%
97.033 1
< 0.1%
97.653 1
< 0.1%
97.733 1
< 0.1%
97.999 1
< 0.1%
98.131 1
< 0.1%
98.193 1
< 0.1%
98.236 1
< 0.1%
98.248 1
< 0.1%
98.27 1
< 0.1%
ValueCountFrequency (%)
100.697 1
< 0.1%
100.585 1
< 0.1%
100.533 1
< 0.1%
100.457 1
< 0.1%
100.335 1
< 0.1%
100.252 1
< 0.1%
100.168 1
< 0.1%
100.149 1
< 0.1%
100.121 1
< 0.1%
100.107 1
< 0.1%

2022-08
Real number (ℝ)

MISSING 

Distinct753
Distinct (%)44.5%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean99.689615
Minimum97.951
Maximum100.586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:47.705021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.951
5-th percentile99.26265
Q199.56
median99.728
Q399.852
95-th percentile100.029
Maximum100.586
Range2.635
Interquartile range (IQR)0.292

Descriptive statistics

Standard deviation0.25751879
Coefficient of variation (CV)0.0025832058
Kurtosis3.4705217
Mean99.689615
Median Absolute Deviation (MAD)0.143
Skewness-1.0272584
Sum168874.21
Variance0.066315929
MonotonicityNot monotonic
2023-12-12T07:56:47.872035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 14
 
0.7%
99.747 10
 
0.5%
99.796 9
 
0.4%
99.812 9
 
0.4%
99.791 8
 
0.4%
99.71 8
 
0.4%
99.774 7
 
0.3%
99.735 7
 
0.3%
99.814 7
 
0.3%
99.809 7
 
0.3%
Other values (743) 1608
76.3%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
97.951 1
< 0.1%
98.351 1
< 0.1%
98.483 1
< 0.1%
98.506 1
< 0.1%
98.558 1
< 0.1%
98.583 1
< 0.1%
98.608 1
< 0.1%
98.681 1
< 0.1%
98.751 1
< 0.1%
98.769 1
< 0.1%
ValueCountFrequency (%)
100.586 1
< 0.1%
100.522 1
< 0.1%
100.455 1
< 0.1%
100.42 1
< 0.1%
100.387 1
< 0.1%
100.368 1
< 0.1%
100.33 1
< 0.1%
100.311 2
0.1%
100.297 1
< 0.1%
100.288 1
< 0.1%

2022-09
Real number (ℝ)

MISSING 

Distinct546
Distinct (%)32.2%
Missing413
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean99.866148
Minimum98.351
Maximum100.478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:48.001806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.351
5-th percentile99.5993
Q199.793
median99.881
Q399.953
95-th percentile100.10235
Maximum100.478
Range2.127
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.16022766
Coefficient of variation (CV)0.0016044242
Kurtosis7.8937145
Mean99.866148
Median Absolute Deviation (MAD)0.079
Skewness-1.180962
Sum169173.25
Variance0.025672904
MonotonicityNot monotonic
2023-12-12T07:56:48.131394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 34
 
1.6%
99.9 14
 
0.7%
99.923 13
 
0.6%
99.893 13
 
0.6%
99.855 11
 
0.5%
99.96 11
 
0.5%
99.892 11
 
0.5%
99.937 10
 
0.5%
99.84 10
 
0.5%
99.953 10
 
0.5%
Other values (536) 1557
73.9%
(Missing) 413
 
19.6%
ValueCountFrequency (%)
98.351 1
< 0.1%
98.976 1
< 0.1%
98.996 1
< 0.1%
99.112 1
< 0.1%
99.137 1
< 0.1%
99.143 1
< 0.1%
99.174 1
< 0.1%
99.176 1
< 0.1%
99.26 1
< 0.1%
99.272 1
< 0.1%
ValueCountFrequency (%)
100.478 1
< 0.1%
100.395 1
< 0.1%
100.375 1
< 0.1%
100.359 1
< 0.1%
100.348 2
0.1%
100.347 2
0.1%
100.343 1
< 0.1%
100.336 1
< 0.1%
100.334 1
< 0.1%
100.321 1
< 0.1%

2022-10
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
100
1694 
<NA>
413 

Length

Max length4
Median length3
Mean length3.1960133
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
100 1694
80.4%
<NA> 413
 
19.6%

Length

2023-12-12T07:56:48.270591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:48.387115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 1694
80.4%
na 413
 
19.6%

2022-11
Real number (ℝ)

MISSING 

Distinct593
Distinct (%)35.6%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.06806
Minimum99.17
Maximum101.453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:48.487554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.17
5-th percentile99.804
Q199.994
median100.053
Q3100.139
95-th percentile100.353
Maximum101.453
Range2.283
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.17697893
Coefficient of variation (CV)0.0017685856
Kurtosis6.0390564
Mean100.06806
Median Absolute Deviation (MAD)0.072
Skewness0.97071921
Sum166913.53
Variance0.031321543
MonotonicityNot monotonic
2023-12-12T07:56:48.606008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 26
 
1.2%
100.012 13
 
0.6%
100.017 13
 
0.6%
100.034 13
 
0.6%
100.099 12
 
0.6%
100.054 12
 
0.6%
100.041 12
 
0.6%
100.061 11
 
0.5%
100.023 11
 
0.5%
100.055 11
 
0.5%
Other values (583) 1534
72.8%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
99.17 1
< 0.1%
99.456 1
< 0.1%
99.458 1
< 0.1%
99.482 1
< 0.1%
99.492 1
< 0.1%
99.516 1
< 0.1%
99.524 1
< 0.1%
99.539 1
< 0.1%
99.547 1
< 0.1%
99.593 1
< 0.1%
ValueCountFrequency (%)
101.453 1
< 0.1%
101.169 1
< 0.1%
101.009 1
< 0.1%
100.968 1
< 0.1%
100.864 1
< 0.1%
100.814 1
< 0.1%
100.788 1
< 0.1%
100.78 1
< 0.1%
100.773 1
< 0.1%
100.766 1
< 0.1%

2022-12
Real number (ℝ)

MISSING 

Distinct789
Distinct (%)47.3%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.09619
Minimum99.055
Maximum102.171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:48.745237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.055
5-th percentile99.63405
Q199.971
median100.08
Q3100.21625
95-th percentile100.597
Maximum102.171
Range3.116
Interquartile range (IQR)0.24525

Descriptive statistics

Standard deviation0.3078105
Coefficient of variation (CV)0.0030751472
Kurtosis5.8404211
Mean100.09619
Median Absolute Deviation (MAD)0.122
Skewness1.0083578
Sum166960.44
Variance0.094747306
MonotonicityNot monotonic
2023-12-12T07:56:48.903681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 13
 
0.6%
100.028 10
 
0.5%
100.084 10
 
0.5%
100.012 9
 
0.4%
100.062 9
 
0.4%
100.12 9
 
0.4%
100.063 9
 
0.4%
100.067 8
 
0.4%
100.074 7
 
0.3%
100.081 7
 
0.3%
Other values (779) 1577
74.8%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
99.055 1
< 0.1%
99.068 1
< 0.1%
99.088 1
< 0.1%
99.111 1
< 0.1%
99.12 1
< 0.1%
99.124 1
< 0.1%
99.17 1
< 0.1%
99.177 1
< 0.1%
99.211 1
< 0.1%
99.22 1
< 0.1%
ValueCountFrequency (%)
102.171 1
< 0.1%
102.084 1
< 0.1%
101.972 1
< 0.1%
101.669 1
< 0.1%
101.665 1
< 0.1%
101.535 1
< 0.1%
101.442 1
< 0.1%
101.44 1
< 0.1%
101.343 1
< 0.1%
101.309 1
< 0.1%

2023-01
Real number (ℝ)

MISSING 

Distinct884
Distinct (%)53.0%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.09268
Minimum98.65
Maximum103.115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:49.030079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.65
5-th percentile99.518
Q199.936
median100.075
Q3100.239
95-th percentile100.7106
Maximum103.115
Range4.465
Interquartile range (IQR)0.303

Descriptive statistics

Standard deviation0.3890573
Coefficient of variation (CV)0.0038869706
Kurtosis6.7678198
Mean100.09268
Median Absolute Deviation (MAD)0.152
Skewness1.0800273
Sum166954.59
Variance0.15136558
MonotonicityNot monotonic
2023-12-12T07:56:49.176881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 10
 
0.5%
100.053 10
 
0.5%
100.052 8
 
0.4%
100.117 7
 
0.3%
100.048 7
 
0.3%
99.955 7
 
0.3%
100.049 7
 
0.3%
100.124 7
 
0.3%
100.09 7
 
0.3%
100.102 7
 
0.3%
Other values (874) 1591
75.5%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
98.65 1
< 0.1%
98.662 1
< 0.1%
98.772 1
< 0.1%
98.84 1
< 0.1%
98.844 1
< 0.1%
98.845 1
< 0.1%
98.924 1
< 0.1%
98.966 1
< 0.1%
98.967 1
< 0.1%
98.972 2
0.1%
ValueCountFrequency (%)
103.115 1
< 0.1%
102.854 1
< 0.1%
102.084 1
< 0.1%
102.068 1
< 0.1%
102.066 1
< 0.1%
101.924 1
< 0.1%
101.922 1
< 0.1%
101.669 1
< 0.1%
101.641 1
< 0.1%
101.623 1
< 0.1%

2023-02
Real number (ℝ)

MISSING 

Distinct961
Distinct (%)57.6%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.09518
Minimum98.23
Maximum103.357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:49.327424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.23
5-th percentile99.44135
Q199.894
median100.073
Q3100.268
95-th percentile100.85745
Maximum103.357
Range5.127
Interquartile range (IQR)0.374

Descriptive statistics

Standard deviation0.46315226
Coefficient of variation (CV)0.0046271185
Kurtosis7.4211456
Mean100.09518
Median Absolute Deviation (MAD)0.185
Skewness1.1749657
Sum166958.76
Variance0.21451001
MonotonicityNot monotonic
2023-12-12T07:56:49.495413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.139 8
 
0.4%
100.065 8
 
0.4%
100.0 7
 
0.3%
99.948 7
 
0.3%
100.119 7
 
0.3%
99.995 6
 
0.3%
99.966 6
 
0.3%
100.052 6
 
0.3%
100.09 6
 
0.3%
100.061 6
 
0.3%
Other values (951) 1601
76.0%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
98.23 1
< 0.1%
98.329 1
< 0.1%
98.34 1
< 0.1%
98.433 1
< 0.1%
98.49 1
< 0.1%
98.683 1
< 0.1%
98.693 1
< 0.1%
98.737 1
< 0.1%
98.761 1
< 0.1%
98.777 1
< 0.1%
ValueCountFrequency (%)
103.357 1
< 0.1%
103.333 1
< 0.1%
103.165 1
< 0.1%
102.834 1
< 0.1%
102.693 1
< 0.1%
102.689 1
< 0.1%
102.19 1
< 0.1%
102.063 1
< 0.1%
101.938 1
< 0.1%
101.884 1
< 0.1%

2023-03
Real number (ℝ)

MISSING 

Distinct1007
Distinct (%)60.4%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.11891
Minimum97.7
Maximum104.499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:49.635127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.7
5-th percentile99.37405
Q199.871
median100.0925
Q3100.317
95-th percentile101.0152
Maximum104.499
Range6.799
Interquartile range (IQR)0.446

Descriptive statistics

Standard deviation0.54332127
Coefficient of variation (CV)0.0054267599
Kurtosis8.3983997
Mean100.11891
Median Absolute Deviation (MAD)0.2225
Skewness1.3814084
Sum166998.34
Variance0.29519801
MonotonicityNot monotonic
2023-12-12T07:56:50.063133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.126 7
 
0.3%
100.107 7
 
0.3%
100.068 7
 
0.3%
100.235 7
 
0.3%
100.085 7
 
0.3%
99.867 6
 
0.3%
100.111 6
 
0.3%
100.112 6
 
0.3%
100.045 6
 
0.3%
100.059 6
 
0.3%
Other values (997) 1603
76.1%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
97.7 1
< 0.1%
98.066 1
< 0.1%
98.096 1
< 0.1%
98.284 1
< 0.1%
98.315 1
< 0.1%
98.617 1
< 0.1%
98.621 1
< 0.1%
98.655 1
< 0.1%
98.675 1
< 0.1%
98.683 1
< 0.1%
ValueCountFrequency (%)
104.499 1
< 0.1%
104.059 1
< 0.1%
103.444 1
< 0.1%
103.326 1
< 0.1%
103.228 1
< 0.1%
103.122 1
< 0.1%
102.284 1
< 0.1%
102.237 1
< 0.1%
102.178 1
< 0.1%
102.14 1
< 0.1%

2023-04
Real number (ℝ)

MISSING 

Distinct1047
Distinct (%)62.8%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.14723
Minimum97.357
Maximum105.147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:50.195143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.357
5-th percentile99.30675
Q199.852
median100.1
Q3100.3605
95-th percentile101.1633
Maximum105.147
Range7.79
Interquartile range (IQR)0.5085

Descriptive statistics

Standard deviation0.62619605
Coefficient of variation (CV)0.0062527546
Kurtosis8.7334206
Mean100.14723
Median Absolute Deviation (MAD)0.252
Skewness1.6177581
Sum167045.58
Variance0.39212149
MonotonicityNot monotonic
2023-12-12T07:56:50.359693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.444 7
 
0.3%
99.888 7
 
0.3%
100.102 6
 
0.3%
100.1 6
 
0.3%
100.293 6
 
0.3%
100.205 6
 
0.3%
100.033 6
 
0.3%
100.276 6
 
0.3%
100.101 5
 
0.2%
99.973 5
 
0.2%
Other values (1037) 1608
76.3%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
97.357 1
< 0.1%
97.741 1
< 0.1%
97.92 1
< 0.1%
98.169 1
< 0.1%
98.34 1
< 0.1%
98.486 1
< 0.1%
98.556 1
< 0.1%
98.559 1
< 0.1%
98.582 1
< 0.1%
98.598 1
< 0.1%
ValueCountFrequency (%)
105.147 1
< 0.1%
104.764 1
< 0.1%
103.7 1
< 0.1%
103.669 1
< 0.1%
103.507 1
< 0.1%
103.336 1
< 0.1%
103.334 1
< 0.1%
103.079 1
< 0.1%
102.986 1
< 0.1%
102.895 1
< 0.1%

2023-05
Real number (ℝ)

MISSING 

Distinct1107
Distinct (%)66.4%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.18251
Minimum96.926
Maximum105.627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:50.525559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.926
5-th percentile99.275
Q199.8385
median100.12
Q3100.41525
95-th percentile101.3118
Maximum105.627
Range8.701
Interquartile range (IQR)0.57675

Descriptive statistics

Standard deviation0.71332248
Coefficient of variation (CV)0.0071202296
Kurtosis9.0290551
Mean100.18251
Median Absolute Deviation (MAD)0.2875
Skewness1.7522678
Sum167104.43
Variance0.50882896
MonotonicityNot monotonic
2023-12-12T07:56:50.695676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.485 6
 
0.3%
100.121 6
 
0.3%
100.174 6
 
0.3%
99.86 5
 
0.2%
100.14 5
 
0.2%
100.127 5
 
0.2%
100.067 5
 
0.2%
100.276 5
 
0.2%
99.865 5
 
0.2%
100.239 5
 
0.2%
Other values (1097) 1615
76.6%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
96.926 1
< 0.1%
97.417 1
< 0.1%
97.611 1
< 0.1%
97.916 1
< 0.1%
98.138 1
< 0.1%
98.225 1
< 0.1%
98.357 1
< 0.1%
98.386 1
< 0.1%
98.472 1
< 0.1%
98.526 1
< 0.1%
ValueCountFrequency (%)
105.627 1
< 0.1%
105.515 1
< 0.1%
104.395 1
< 0.1%
104.12 1
< 0.1%
104.02 1
< 0.1%
103.85 1
< 0.1%
103.731 1
< 0.1%
103.612 1
< 0.1%
103.522 1
< 0.1%
103.507 1
< 0.1%

2023-06
Real number (ℝ)

MISSING 

Distinct1140
Distinct (%)68.3%
Missing439
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean100.22303
Minimum96.716
Maximum106.222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2023-12-12T07:56:50.872042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.716
5-th percentile99.2517
Q199.82175
median100.1405
Q3100.471
95-th percentile101.51435
Maximum106.222
Range9.506
Interquartile range (IQR)0.64925

Descriptive statistics

Standard deviation0.79640856
Coefficient of variation (CV)0.0079463628
Kurtosis9.7071769
Mean100.22303
Median Absolute Deviation (MAD)0.322
Skewness1.9445366
Sum167172.01
Variance0.6342666
MonotonicityNot monotonic
2023-12-12T07:56:51.043154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.303 6
 
0.3%
100.153 6
 
0.3%
100.227 5
 
0.2%
99.652 5
 
0.2%
99.844 5
 
0.2%
100.072 5
 
0.2%
100.166 5
 
0.2%
100.234 5
 
0.2%
100.83 5
 
0.2%
100.343 5
 
0.2%
Other values (1130) 1616
76.7%
(Missing) 439
 
20.8%
ValueCountFrequency (%)
96.716 1
< 0.1%
97.264 1
< 0.1%
97.479 1
< 0.1%
97.787 1
< 0.1%
97.835 1
< 0.1%
97.951 1
< 0.1%
98.26 1
< 0.1%
98.275 1
< 0.1%
98.42 1
< 0.1%
98.421 1
< 0.1%
ValueCountFrequency (%)
106.222 1
< 0.1%
105.984 1
< 0.1%
105.204 1
< 0.1%
105.182 1
< 0.1%
104.645 1
< 0.1%
104.341 1
< 0.1%
104.258 1
< 0.1%
104.161 1
< 0.1%
104.148 1
< 0.1%
104.019 1
< 0.1%

Sample

지역이용상황2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국주거용_대72.19572.19872.26272.36972.47572.52572.48472.46472.52972.6872.872.9272.99973.09473.24773.38173.47973.58273.7373.83973.99974.16974.2874.474.5274.64974.78174.93575.10175.29975.48275.65175.80376.00576.20276.3976.5476.68276.86977.04677.23377.45677.68777.8978.11378.35678.60678.80978.96679.16579.42479.69280.05280.41280.77181.06281.31781.56881.85782.13782.43582.71883.02983.31783.62483.9484.30484.6985.12985.58686.03386.37286.64986.87287.13487.41887.69787.99388.31288.61788.93289.23489.55689.86790.18690.50490.76390.99191.2591.56891.90592.21692.51492.81593.13593.46693.78994.11194.4594.81395.16295.52195.88296.24796.60896.93797.27597.5997.89798.19898.51198.83399.16199.49499.794100.05100.13110099.82399.65699.5499.45899.4199.38199.38399.401
1전국상업용_대72.74372.81972.88772.96473.04273.13373.16973.17573.21373.28373.38873.47573.54673.65873.78773.91674.02774.1374.24774.34174.47574.61874.73474.85674.95475.07275.22175.37575.51675.64775.80675.93576.08576.23376.39176.56676.68476.81276.96877.13177.29577.47477.65477.84178.02578.2178.37878.5478.66978.86579.11679.34879.65379.96980.27180.57580.84581.06481.32481.58581.8682.12782.43182.68582.94383.25583.61383.99184.35784.74185.09685.3985.68385.9386.19586.49586.82987.1487.46187.81988.14188.49888.83589.17889.5289.83590.08690.3190.55990.82691.1691.46691.77992.06292.37292.70593.00593.31793.6593.98894.32994.67995.0595.42595.79596.17796.54596.9297.22197.51397.82498.15198.51998.86399.19399.50399.799100100.057100.068100.055100.044100.054100.07100.114100.166
2전국공장79.89379.97680.07580.22980.3180.480.45980.47980.56480.65480.73380.83180.92180.97981.11381.28381.40181.55981.67181.75781.85481.97382.12182.2682.37782.46982.63482.78582.86282.97783.1383.26983.40783.53683.70783.86183.96384.08284.23784.3784.49684.63984.74984.8684.97585.1185.27785.39585.48385.6685.83586.05186.23486.4586.68986.88887.10487.29487.46487.61587.78287.94188.11688.34388.58388.80489.0289.18889.40189.689.75889.89390.03390.19890.39890.57390.75590.90591.05891.22691.40891.59491.77591.98492.16392.3792.55392.792.85293.01993.18193.33193.48493.66393.87294.0994.27294.48494.71994.97895.2295.49595.77696.06596.35696.64296.94197.26297.52997.78698.08798.38898.67998.95699.24799.52199.781100100.152100.25100.307100.356100.438100.52100.622100.724
3전국75.48475.53575.63575.71475.79175.85475.9175.94175.9776.05776.14876.2676.32176.39476.49976.59776.7276.84576.95977.04777.13677.24277.34377.47577.55877.66177.7977.93378.05878.20978.36478.49978.63178.79679.0579.31779.48579.64179.83980.02480.20280.41180.60380.76880.93981.11781.29981.45181.60681.78582.03782.28482.54882.82483.11983.38683.63383.88384.14884.40784.6584.87285.13185.44785.77186.11186.43486.75687.05887.37987.66187.93588.20588.44688.71188.98489.23489.47889.72889.95490.14790.3690.57290.891.01991.22991.42191.58191.76991.99192.22992.48792.74893.01993.30393.62993.994.15994.44494.73795.03595.32795.63695.95596.27596.59596.91197.22897.50597.76998.06498.35698.66298.95699.24299.52699.781100100.163100.279100.322100.366100.455100.541100.629100.718
4전국77.39877.44677.51377.56777.62777.65177.68877.66177.66477.73677.82877.91377.92877.95978.04978.16378.23778.29278.37278.42878.50478.62978.70378.80678.90778.98979.10579.2379.32979.47279.60679.71379.84280.00580.17780.37680.49380.61380.78780.92481.06981.22681.41281.57781.73381.91382.0882.25682.40382.57282.82483.07283.32883.60283.8784.13584.38784.60684.86985.12385.36285.58185.83386.16286.48486.82687.15587.4587.69988.00788.27588.52688.76589.00889.29689.56689.83290.08990.32790.53690.74190.97891.21591.45691.67491.90292.10392.27692.46392.67892.87893.1193.35893.60193.88494.19494.46894.72895.02195.31695.58895.88196.15696.42696.796.98197.26197.54697.78598.03498.29998.57298.8599.11399.35799.59199.811100100.137100.215100.238100.282100.349100.423100.495100.566
5전국임야83.28283.31583.37783.41483.45583.49383.53183.46683.47583.50483.55583.61483.63683.72583.79383.87483.95884.00884.06284.11984.19984.26884.31184.41684.45784.51684.58884.67884.7684.87684.99585.08385.1985.30385.44785.64285.74385.8385.96686.11386.23686.37286.51986.63286.73686.87186.98687.08487.19887.3287.51887.70287.89788.1288.32188.53388.73988.92789.12889.34389.54189.67589.8790.15690.42790.69290.98591.22791.44291.66991.87792.07692.26492.45692.64292.81293.00393.19393.35893.52193.65693.80893.9794.10894.26394.39894.51494.62794.76494.90595.07395.20595.40295.58295.79695.99296.1496.28996.47296.66996.85697.04497.2397.41997.61197.79897.99398.18398.35998.53698.71798.90299.09199.28599.48999.67999.856100100.096100.162100.166100.181100.227100.259100.303100.361
6전국기타83.38583.40883.47283.38883.3883.19683.51783.60983.63283.63183.68683.71383.81783.94184.31884.29784.39784.39484.19884.16784.28684.30984.3484.2584.24384.25784.3484.58884.57185.4785.73485.77286.02485.97386.21386.19986.16886.19186.20886.35386.36186.51686.60886.61386.74686.79886.89386.89486.89286.97787.13487.21687.41987.95688.22188.37788.42588.83588.7389.15589.35789.46989.61490.05890.20990.68290.87990.95190.83291.20991.61391.83792.0292.10592.14392.54892.60692.79493.03293.293.3293.53993.68693.87294.06594.16494.28894.36894.48594.54294.61194.7994.96795.1895.28795.54495.71495.90496.14596.32396.51796.7796.92197.20697.4497.64497.83898.03498.25598.46898.64698.86899.09599.399.46799.62799.834100100.031100.073100.129100.142100.181100.198100.23100.259
7수도권주거용_대71.24171.21571.26571.36871.4871.51171.44371.40771.47471.63671.76371.88571.96272.05572.2272.35572.44472.52872.6772.76772.93173.09873.19373.28573.39773.52473.63473.77573.93874.11774.2974.44974.58474.77774.94475.09675.21975.33875.50675.66775.84176.04976.27176.46476.68176.91777.15577.35377.577.6977.93278.19378.55978.91479.26879.53279.75579.97380.23980.50880.79881.08481.38681.6781.98482.31582.70383.13883.64784.16884.68285.05785.34485.57485.84986.15486.45986.78987.15687.51487.88588.23788.6188.97289.33389.69489.99590.26290.55690.91491.25591.5891.90292.22692.55792.90393.24993.693.96694.35994.73295.12295.50995.90296.29696.67497.0697.41597.75198.0898.41798.76599.1299.48699.821100.113100.18710099.79799.60699.47599.38799.33999.3199.32299.35
8수도권상업용_대71.68971.77571.84771.9271.99872.08872.14172.14372.18472.24572.35172.42872.50772.61872.75472.88773.0173.1173.21873.31673.45373.59873.71773.82873.9274.03174.17574.32274.44674.56574.774.81274.94975.07975.20275.33575.42175.52575.65975.80775.94876.11176.2876.44676.61776.78876.9377.06677.17377.34977.58677.79878.09578.478.68178.96979.20679.39579.64279.88780.15180.4180.71380.94481.18881.50181.8782.28482.68183.09383.48583.79384.10584.3684.6484.95985.32985.66586.02786.44586.82387.2487.6288.00688.39588.75789.05489.31889.60189.89590.26790.6290.97891.29291.61991.97792.31192.66293.03293.40793.78194.16694.57694.98695.39595.80296.19396.59696.92597.24297.57897.93298.3498.72199.08599.43299.773100100.068100.08100.073100.067100.087100.112100.179100.254
9수도권공장75.14675.26475.38375.59375.67975.75375.82875.87475.95376.01476.02976.1176.2276.17776.30976.45176.55276.776.80976.8676.92877.02277.16177.28877.41177.49477.63177.77477.81777.91178.04778.18478.31478.42778.61478.74678.8478.93579.04779.19479.31279.44679.58479.70379.8379.98480.15480.26880.35780.58380.76881.02481.25181.49481.77581.98282.22382.47382.67582.82583.03383.21983.43983.7384.01584.2984.58784.83285.14285.4585.72685.98886.23886.52686.83687.12887.43787.69187.95188.2488.55988.89289.19189.52289.80490.13690.42890.66990.89791.13491.37791.60691.82292.09192.38292.6892.94693.25493.58393.93894.25794.6294.98895.36795.73596.11196.4896.87497.21597.51997.87998.22298.53598.84299.15499.45399.755100100.16100.261100.316100.365100.456100.547100.664100.787
지역이용상황2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
2097제주 제주시73.02373.02373.02373.02373.02373.02373.02373.02373.02373.02373.02373.36273.36273.36273.36273.36273.36273.36273.36273.36274.58574.58575.6575.6575.6575.6575.6575.6575.6577.01577.01577.01577.01577.69877.69877.69877.69877.69877.69877.69880.50680.50680.50680.50680.50680.50680.50680.50682.2582.2582.85185.25685.25685.25685.25689.16390.60790.60790.60790.60790.60791.68991.68995.11695.11695.11696.31999.20499.20499.20499.20499.20499.20499.20499.20499.20499.20499.20498.42298.42298.42298.42298.42298.42298.12298.12298.12298.12298.12297.88197.70197.70196.46996.55295.89596.05996.05995.64895.56695.48495.56695.89596.55296.8897.20997.37397.37398.19498.27698.4498.68698.93399.17999.50899.5999.75499.918100<NA><NA><NA><NA><NA><NA><NA><NA>
2098제주 제주시임야79.56279.6579.75879.84579.94579.95379.93879.89279.86480.03380.16580.35280.51780.72680.84481.00281.09781.24481.45981.62981.74882.00382.08282.25582.39782.58282.6682.7582.81983.183.38583.65183.86484.03685.50986.76788.09288.87689.48490.34890.96691.40891.83392.16592.53392.78693.07493.28493.62693.91794.03694.39394.47694.85795.10195.39195.73196.1396.73497.24697.56897.78198.01898.26398.4898.5698.8299.04699.41899.56999.63799.78299.963100.04399.973100.06499.90799.7999.63199.41198.92398.54798.07897.65397.35497.06396.76596.51396.396.16996.06595.95695.8595.79495.69395.64395.57995.54695.56195.57295.61195.70195.92196.24896.55296.79797.08497.34997.56797.80698.11698.45598.899.10199.42499.70199.91610099.83699.72599.55999.43399.37699.29399.28899.285
2099제주 제주시기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2100제주 서귀포시주거용_대74.09274.13874.20674.29174.37374.32774.374.36574.37174.5574.72674.85775.11975.44675.80675.97976.21576.36876.5876.8877.06277.2277.46477.83378.17678.5578.80679.03579.27179.55579.83580.09680.3180.91982.66884.60285.91986.8987.82888.85289.34889.86390.23890.64190.88891.23691.53291.89992.26692.65393.0893.54994.01194.22694.4194.56694.77395.40496.0896.48296.89697.22997.48897.73298.07598.40998.98299.721100.532101.012101.458101.688101.86102.001102.048102.123101.933101.762101.593101.36100.945100.581100.05199.64199.33399.03698.70298.41498.19198.04197.93897.84997.7597.60597.52897.50897.52997.5297.52897.5597.56397.5997.84598.16898.58698.6898.8899.03899.199.18799.25399.3899.45799.69999.85299.952100.00810099.93299.83499.73599.64399.56199.53399.51799.49
2101제주 서귀포시상업용_대74.46274.46274.52174.59774.58774.51974.46774.40674.40174.4174.52974.7274.77274.91275.13175.25375.33375.50575.55875.88576.27876.44576.68476.89377.15377.37977.44977.7378.21378.4178.86679.00379.18579.55380.69782.92483.65384.97285.70486.3186.74987.25787.72688.35488.89689.41589.7790.41790.81891.24692.05392.49292.75993.16393.56694.0394.40394.69394.86295.36495.64895.88896.12196.60896.86497.23397.67498.37698.74299.32299.499.5699.68399.82899.8399.98799.99299.56399.37399.399.03198.61798.16997.82797.51697.28996.83796.67396.44796.34196.31996.20296.0195.89795.85995.89195.90895.89895.92895.97395.99596.05596.20496.35496.64397.02197.22797.94798.33498.49698.76598.9499.24999.46199.73599.86599.97210099.88599.78699.66499.5999.47299.42299.37599.351
2102제주 서귀포시공장82.10682.10682.10682.10682.10682.10682.27582.27582.40782.40782.40782.40782.74582.74583.04383.40683.40683.40686.09586.62486.62486.62486.62486.62486.62486.62486.62486.62487.1788.0988.51588.51588.57788.57790.2590.40890.40890.40890.40890.40890.44391.13791.13791.13791.88292.84193.61793.77693.95794.39995.65596.38696.57796.81397.20597.74597.97198.38798.68799.38299.78799.78799.787100.105100.105100.105101.135101.555102.1102.452102.302102.302102.394102.443102.394102.451102.323102.504102.428102.265102.188101.501101.276101.153101.07100.901100.725100.193100.07899.98699.98699.74499.6399.43499.22899.24899.14499.11499.07299.03199.01199.06299.17599.12499.12499.12499.17699.17699.17699.399.43399.53899.5499.71399.84599.94999.96910099.95299.86999.81699.76899.76999.78799.68799.631
2103제주 서귀포시72.26372.34372.47372.58572.76972.76472.78872.85872.8272.95173.19473.42973.74974.21274.45474.7574.9775.25475.43875.66575.99776.29376.63976.99577.27377.55277.76778.06478.22978.4978.78379.09179.40279.71881.39983.1184.51785.50586.43387.31987.94988.39688.80989.21589.61989.95490.32290.68491.191.46191.76992.11492.34292.88293.2993.86294.29894.59494.90895.26595.68695.93996.25896.56596.98497.33997.87998.57499.1199.53199.73699.989100.196100.279100.382100.495100.408100.297100.14799.99699.64799.26898.80998.4498.17397.82397.56597.25897.0696.90296.82296.67996.51896.37696.24596.24596.21196.20196.19396.19496.19896.296.40296.64796.82797.0597.27197.5197.79798.04198.30998.59798.96299.23999.48599.75899.910099.8699.74399.62199.55499.51799.48299.46499.457
2104제주 서귀포시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>96.31495.85395.39295.85396.31496.77597.23597.69698.15799.07998.15797.69697.23596.77597.23598.15798.61898.84898.89498.89499.07999.07999.53999.539100.0100<NA><NA><NA><NA><NA><NA><NA><NA>
2105제주 서귀포시임야77.04577.09977.13677.18877.21377.21377.07277.0877.07677.18277.24577.45377.56177.71577.83178.13478.26378.30278.4178.58378.70878.9779.24579.48779.58379.93480.00680.11780.28580.56580.92781.18881.30581.86383.22184.95586.00186.63387.54988.11888.43388.9489.37789.66590.0990.41990.88191.35791.84692.17492.57292.97993.38394.10194.64395.51396.15196.51996.88197.43797.8798.14198.57899.00999.33299.922100.382101.141101.534102.0102.151102.21102.46102.555102.599102.631102.51102.458102.282102.19101.692101.177100.637100.18499.77999.48699.10698.84398.68198.56698.49298.30798.10997.89797.73197.61897.57197.54197.49197.45197.42597.36997.39997.57397.75597.85398.02998.20398.51898.65998.90199.05899.20799.42999.66299.83999.9510099.84899.70599.57199.4699.37999.35399.3299.345
2106제주 서귀포시기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>