Overview

Dataset statistics

Number of variables128
Number of observations3010
Missing cells118863
Missing cells (%)30.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 MiB
Average record size in memory1.1 KiB

Variable types

Text1
Categorical2
Numeric125

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국지가변동률조사 중 용도지역별 지가지수 데이터입니다. - 기준시점(2020.9.1.=100) - 공표시기 : 익월 25일경 - 단위 : 지수
URLhttps://www.data.go.kr/data/15054698/fileData.do

Alerts

2013-01 has 1006 (33.4%) missing valuesMissing
2013-02 has 1006 (33.4%) missing valuesMissing
2013-03 has 1006 (33.4%) missing valuesMissing
2013-04 has 1006 (33.4%) missing valuesMissing
2013-05 has 1006 (33.4%) missing valuesMissing
2013-06 has 1006 (33.4%) missing valuesMissing
2013-07 has 1006 (33.4%) missing valuesMissing
2013-08 has 997 (33.1%) missing valuesMissing
2013-09 has 997 (33.1%) missing valuesMissing
2013-10 has 997 (33.1%) missing valuesMissing
2013-11 has 997 (33.1%) missing valuesMissing
2013-12 has 997 (33.1%) missing valuesMissing
2014-01 has 997 (33.1%) missing valuesMissing
2014-02 has 997 (33.1%) missing valuesMissing
2014-03 has 997 (33.1%) missing valuesMissing
2014-04 has 997 (33.1%) missing valuesMissing
2014-05 has 997 (33.1%) missing valuesMissing
2014-06 has 956 (31.8%) missing valuesMissing
2014-07 has 956 (31.8%) missing valuesMissing
2014-08 has 956 (31.8%) missing valuesMissing
2014-09 has 956 (31.8%) missing valuesMissing
2014-10 has 956 (31.8%) missing valuesMissing
2014-11 has 956 (31.8%) missing valuesMissing
2014-12 has 948 (31.5%) missing valuesMissing
2015-01 has 948 (31.5%) missing valuesMissing
2015-02 has 948 (31.5%) missing valuesMissing
2015-03 has 948 (31.5%) missing valuesMissing
2015-04 has 948 (31.5%) missing valuesMissing
2015-05 has 948 (31.5%) missing valuesMissing
2015-06 has 948 (31.5%) missing valuesMissing
2015-07 has 948 (31.5%) missing valuesMissing
2015-08 has 948 (31.5%) missing valuesMissing
2015-09 has 948 (31.5%) missing valuesMissing
2015-10 has 948 (31.5%) missing valuesMissing
2015-11 has 948 (31.5%) missing valuesMissing
2015-12 has 948 (31.5%) missing valuesMissing
2016-01 has 948 (31.5%) missing valuesMissing
2016-02 has 948 (31.5%) missing valuesMissing
2016-03 has 948 (31.5%) missing valuesMissing
2016-04 has 948 (31.5%) missing valuesMissing
2016-05 has 948 (31.5%) missing valuesMissing
2016-06 has 948 (31.5%) missing valuesMissing
2016-07 has 948 (31.5%) missing valuesMissing
2016-08 has 948 (31.5%) missing valuesMissing
2016-09 has 948 (31.5%) missing valuesMissing
2016-10 has 948 (31.5%) missing valuesMissing
2016-11 has 948 (31.5%) missing valuesMissing
2016-12 has 944 (31.4%) missing valuesMissing
2017-01 has 944 (31.4%) missing valuesMissing
2017-02 has 944 (31.4%) missing valuesMissing
2017-03 has 944 (31.4%) missing valuesMissing
2017-04 has 944 (31.4%) missing valuesMissing
2017-05 has 944 (31.4%) missing valuesMissing
2017-06 has 944 (31.4%) missing valuesMissing
2017-07 has 944 (31.4%) missing valuesMissing
2017-08 has 944 (31.4%) missing valuesMissing
2017-09 has 944 (31.4%) missing valuesMissing
2017-10 has 944 (31.4%) missing valuesMissing
2017-11 has 944 (31.4%) missing valuesMissing
2017-12 has 944 (31.4%) missing valuesMissing
2018-01 has 944 (31.4%) missing valuesMissing
2018-02 has 944 (31.4%) missing valuesMissing
2018-03 has 944 (31.4%) missing valuesMissing
2018-04 has 944 (31.4%) missing valuesMissing
2018-05 has 944 (31.4%) missing valuesMissing
2018-06 has 944 (31.4%) missing valuesMissing
2018-07 has 944 (31.4%) missing valuesMissing
2018-08 has 944 (31.4%) missing valuesMissing
2018-09 has 944 (31.4%) missing valuesMissing
2018-10 has 944 (31.4%) missing valuesMissing
2018-11 has 944 (31.4%) missing valuesMissing
2018-12 has 944 (31.4%) missing valuesMissing
2019-01 has 944 (31.4%) missing valuesMissing
2019-02 has 944 (31.4%) missing valuesMissing
2019-03 has 944 (31.4%) missing valuesMissing
2019-04 has 944 (31.4%) missing valuesMissing
2019-05 has 944 (31.4%) missing valuesMissing
2019-06 has 944 (31.4%) missing valuesMissing
2019-07 has 944 (31.4%) missing valuesMissing
2019-08 has 944 (31.4%) missing valuesMissing
2019-09 has 944 (31.4%) missing valuesMissing
2019-10 has 944 (31.4%) missing valuesMissing
2019-11 has 944 (31.4%) missing valuesMissing
2019-12 has 944 (31.4%) missing valuesMissing
2020-01 has 944 (31.4%) missing valuesMissing
2020-02 has 944 (31.4%) missing valuesMissing
2020-03 has 944 (31.4%) missing valuesMissing
2020-04 has 944 (31.4%) missing valuesMissing
2020-05 has 944 (31.4%) missing valuesMissing
2020-06 has 944 (31.4%) missing valuesMissing
2020-07 has 944 (31.4%) missing valuesMissing
2020-08 has 944 (31.4%) missing valuesMissing
2020-09 has 939 (31.2%) missing valuesMissing
2020-10 has 939 (31.2%) missing valuesMissing
2020-11 has 939 (31.2%) missing valuesMissing
2020-12 has 939 (31.2%) missing valuesMissing
2021-01 has 939 (31.2%) missing valuesMissing
2021-02 has 939 (31.2%) missing valuesMissing
2021-03 has 939 (31.2%) missing valuesMissing
2021-04 has 939 (31.2%) missing valuesMissing
2021-05 has 939 (31.2%) missing valuesMissing
2021-06 has 939 (31.2%) missing valuesMissing
2021-07 has 939 (31.2%) missing valuesMissing
2021-08 has 939 (31.2%) missing valuesMissing
2021-09 has 939 (31.2%) missing valuesMissing
2021-10 has 939 (31.2%) missing valuesMissing
2021-11 has 939 (31.2%) missing valuesMissing
2021-12 has 939 (31.2%) missing valuesMissing
2022-01 has 939 (31.2%) missing valuesMissing
2022-02 has 939 (31.2%) missing valuesMissing
2022-03 has 939 (31.2%) missing valuesMissing
2022-04 has 939 (31.2%) missing valuesMissing
2022-05 has 939 (31.2%) missing valuesMissing
2022-06 has 939 (31.2%) missing valuesMissing
2022-07 has 939 (31.2%) missing valuesMissing
2022-08 has 939 (31.2%) missing valuesMissing
2022-09 has 939 (31.2%) missing valuesMissing
2022-11 has 926 (30.8%) missing valuesMissing
2022-12 has 926 (30.8%) missing valuesMissing
2023-01 has 926 (30.8%) missing valuesMissing
2023-02 has 926 (30.8%) missing valuesMissing
2023-03 has 926 (30.8%) missing valuesMissing
2023-04 has 926 (30.8%) missing valuesMissing
2023-05 has 926 (30.8%) missing valuesMissing
2023-06 has 926 (30.8%) missing valuesMissing

Reproduction

Analysis started2023-12-13 00:28:37.164669
Analysis finished2023-12-13 00:28:38.987523
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

Distinct301
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2023-12-13T09:28:39.197959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.1063123
Min length2

Characters and Unicode

Total characters18380
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 510
 
8.3%
경북 280
 
4.6%
경남 260
 
4.2%
서울 260
 
4.2%
전남 250
 
4.1%
강원 210
 
3.4%
충남 200
 
3.3%
전북 190
 
3.1%
충북 180
 
2.9%
부산 170
 
2.8%
Other values (249) 3610
59.0%
2023-12-13T09:28:39.567206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3110
16.9%
1210
 
6.6%
1160
 
6.3%
1080
 
5.9%
950
 
5.2%
890
 
4.8%
730
 
4.0%
540
 
2.9%
530
 
2.9%
470
 
2.6%
Other values (136) 7710
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15270
83.1%
Space Separator 3110
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1210
 
7.9%
1160
 
7.6%
1080
 
7.1%
950
 
6.2%
890
 
5.8%
730
 
4.8%
540
 
3.5%
530
 
3.5%
470
 
3.1%
420
 
2.8%
Other values (135) 7290
47.7%
Space Separator
ValueCountFrequency (%)
3110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15270
83.1%
Common 3110
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1210
 
7.9%
1160
 
7.6%
1080
 
7.1%
950
 
6.2%
890
 
5.8%
730
 
4.8%
540
 
3.5%
530
 
3.5%
470
 
3.1%
420
 
2.8%
Other values (135) 7290
47.7%
Common
ValueCountFrequency (%)
3110
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15270
83.1%
ASCII 3110
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3110
100.0%
Hangul
ValueCountFrequency (%)
1210
 
7.9%
1160
 
7.6%
1080
 
7.1%
950
 
6.2%
890
 
5.8%
730
 
4.8%
540
 
3.5%
530
 
3.5%
470
 
3.1%
420
 
2.8%
Other values (135) 7290
47.7%

용도지역
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
주거지역
301 
상업지역
301 
공업지역
301 
녹지지역
301 
관리지역
301 
Other values (5)
1505 

Length

Max length8
Median length4
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주거지역
2nd row상업지역
3rd row공업지역
4th row녹지지역
5th row관리지역

Common Values

ValueCountFrequency (%)
주거지역 301
10.0%
상업지역 301
10.0%
공업지역 301
10.0%
녹지지역 301
10.0%
관리지역 301
10.0%
보전관리지역 301
10.0%
생산관리지역 301
10.0%
계획관리지역 301
10.0%
농림지역 301
10.0%
자연환경보전지역 301
10.0%

Length

2023-12-13T09:28:39.680616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:28:39.788665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거지역 301
10.0%
상업지역 301
10.0%
공업지역 301
10.0%
녹지지역 301
10.0%
관리지역 301
10.0%
보전관리지역 301
10.0%
생산관리지역 301
10.0%
계획관리지역 301
10.0%
농림지역 301
10.0%
자연환경보전지역 301
10.0%

2013-01
Real number (ℝ)

MISSING 

Distinct1916
Distinct (%)95.6%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.258321
Minimum43.728
Maximum113.129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:39.910215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.728
5-th percentile69.2154
Q177.109
median81.4615
Q385.88375
95-th percentile92.4097
Maximum113.129
Range69.401
Interquartile range (IQR)8.77475

Descriptive statistics

Standard deviation7.2257824
Coefficient of variation (CV)0.088923599
Kurtosis1.3321387
Mean81.258321
Median Absolute Deviation (MAD)4.4105
Skewness-0.27078361
Sum162841.68
Variance52.211931
MonotonicityNot monotonic
2023-12-13T09:28:40.029155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.379 4
 
0.1%
71.189 3
 
0.1%
89.246 3
 
0.1%
85.93 3
 
0.1%
75.914 3
 
0.1%
82.143 3
 
0.1%
82.766 3
 
0.1%
79.008 2
 
0.1%
85.51 2
 
0.1%
76.51 2
 
0.1%
Other values (1906) 1976
65.6%
(Missing) 1006
33.4%
ValueCountFrequency (%)
43.728 1
< 0.1%
50.546 1
< 0.1%
50.687 1
< 0.1%
51.324 1
< 0.1%
52.877 1
< 0.1%
53.352 1
< 0.1%
54.078 1
< 0.1%
56.496 1
< 0.1%
60.2 1
< 0.1%
60.204 1
< 0.1%
ValueCountFrequency (%)
113.129 1
< 0.1%
109.411 1
< 0.1%
108.109 1
< 0.1%
105.168 1
< 0.1%
104.889 1
< 0.1%
101.469 1
< 0.1%
101.215 1
< 0.1%
100.868 1
< 0.1%
100.533 1
< 0.1%
100.359 1
< 0.1%

2013-02
Real number (ℝ)

MISSING 

Distinct1897
Distinct (%)94.7%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.298198
Minimum43.973
Maximum113.464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:40.133841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.973
5-th percentile69.24445
Q177.157
median81.5415
Q385.89425
95-th percentile92.3482
Maximum113.464
Range69.491
Interquartile range (IQR)8.73725

Descriptive statistics

Standard deviation7.2017747
Coefficient of variation (CV)0.088584678
Kurtosis1.3290162
Mean81.298198
Median Absolute Deviation (MAD)4.378
Skewness-0.2692775
Sum162921.59
Variance51.865559
MonotonicityNot monotonic
2023-12-13T09:28:40.244044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.556 3
 
0.1%
80.644 3
 
0.1%
85.966 3
 
0.1%
81.952 3
 
0.1%
77.974 3
 
0.1%
81.328 2
 
0.1%
77.157 2
 
0.1%
88.059 2
 
0.1%
83.576 2
 
0.1%
89.728 2
 
0.1%
Other values (1887) 1979
65.7%
(Missing) 1006
33.4%
ValueCountFrequency (%)
43.973 1
< 0.1%
50.905 1
< 0.1%
51.265 1
< 0.1%
51.561 1
< 0.1%
52.877 1
< 0.1%
53.571 1
< 0.1%
54.164 1
< 0.1%
56.605 1
< 0.1%
60.284 1
< 0.1%
60.636 1
< 0.1%
ValueCountFrequency (%)
113.464 1
< 0.1%
109.529 1
< 0.1%
108.169 1
< 0.1%
105.168 1
< 0.1%
104.889 1
< 0.1%
101.469 1
< 0.1%
101.333 1
< 0.1%
101.122 1
< 0.1%
100.733 1
< 0.1%
100.359 1
< 0.1%

2013-03
Real number (ℝ)

MISSING 

Distinct1905
Distinct (%)95.1%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.355936
Minimum44.229
Maximum113.464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:40.348237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.229
5-th percentile69.3379
Q177.231
median81.615
Q385.93725
95-th percentile92.4039
Maximum113.464
Range69.235
Interquartile range (IQR)8.70625

Descriptive statistics

Standard deviation7.1768124
Coefficient of variation (CV)0.088214981
Kurtosis1.3204108
Mean81.355936
Median Absolute Deviation (MAD)4.3485
Skewness-0.26995055
Sum163037.3
Variance51.506636
MonotonicityNot monotonic
2023-12-13T09:28:40.449534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.187 3
 
0.1%
77.979 3
 
0.1%
73.831 3
 
0.1%
82.264 3
 
0.1%
79.6 2
 
0.1%
84.172 2
 
0.1%
86.051 2
 
0.1%
81.856 2
 
0.1%
85.585 2
 
0.1%
79.891 2
 
0.1%
Other values (1895) 1980
65.8%
(Missing) 1006
33.4%
ValueCountFrequency (%)
44.229 1
< 0.1%
51.188 1
< 0.1%
51.677 1
< 0.1%
51.832 1
< 0.1%
52.896 1
< 0.1%
53.905 1
< 0.1%
54.229 1
< 0.1%
56.815 1
< 0.1%
60.34 1
< 0.1%
60.919 1
< 0.1%
ValueCountFrequency (%)
113.464 1
< 0.1%
109.546 1
< 0.1%
108.042 1
< 0.1%
105.168 1
< 0.1%
104.929 1
< 0.1%
101.509 1
< 0.1%
101.469 1
< 0.1%
101.196 1
< 0.1%
100.94 1
< 0.1%
100.359 1
< 0.1%

2013-04
Real number (ℝ)

MISSING 

Distinct1913
Distinct (%)95.5%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.420887
Minimum44.643
Maximum113.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:40.556977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.643
5-th percentile69.3439
Q177.27625
median81.699
Q385.95125
95-th percentile92.42115
Maximum113.62
Range68.977
Interquartile range (IQR)8.675

Descriptive statistics

Standard deviation7.1515929
Coefficient of variation (CV)0.087834868
Kurtosis1.3080012
Mean81.420887
Median Absolute Deviation (MAD)4.3275
Skewness-0.26580101
Sum163167.46
Variance51.145281
MonotonicityNot monotonic
2023-12-13T09:28:40.865096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.79 3
 
0.1%
73.878 3
 
0.1%
87.312 3
 
0.1%
81.688 3
 
0.1%
83.182 2
 
0.1%
74.192 2
 
0.1%
82.248 2
 
0.1%
88.784 2
 
0.1%
79.32 2
 
0.1%
84.385 2
 
0.1%
Other values (1903) 1980
65.8%
(Missing) 1006
33.4%
ValueCountFrequency (%)
44.643 1
< 0.1%
51.51 1
< 0.1%
51.99 1
< 0.1%
52.056 1
< 0.1%
53.106 1
< 0.1%
54.279 1
< 0.1%
54.29 1
< 0.1%
56.877 1
< 0.1%
60.311 1
< 0.1%
61.303 1
< 0.1%
ValueCountFrequency (%)
113.62 1
< 0.1%
109.722 1
< 0.1%
108.115 1
< 0.1%
104.989 1
< 0.1%
104.802 1
< 0.1%
101.817 1
< 0.1%
101.484 1
< 0.1%
101.211 1
< 0.1%
101.165 1
< 0.1%
100.505 1
< 0.1%

2013-05
Real number (ℝ)

MISSING 

Distinct1899
Distinct (%)94.8%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.477929
Minimum44.907
Maximum113.588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:40.966740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.907
5-th percentile69.40515
Q177.3445
median81.7335
Q385.9955
95-th percentile92.4787
Maximum113.588
Range68.681
Interquartile range (IQR)8.651

Descriptive statistics

Standard deviation7.1265687
Coefficient of variation (CV)0.087466248
Kurtosis1.2979456
Mean81.477929
Median Absolute Deviation (MAD)4.355
Skewness-0.26622178
Sum163281.77
Variance50.787982
MonotonicityNot monotonic
2023-12-13T09:28:41.073657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.547 4
 
0.1%
88.958 3
 
0.1%
79.228 3
 
0.1%
82.51 3
 
0.1%
87.193 3
 
0.1%
81.274 3
 
0.1%
77.914 2
 
0.1%
71.277 2
 
0.1%
83.799 2
 
0.1%
77.572 2
 
0.1%
Other values (1889) 1977
65.7%
(Missing) 1006
33.4%
ValueCountFrequency (%)
44.907 1
< 0.1%
51.817 1
< 0.1%
52.303 1
< 0.1%
52.506 1
< 0.1%
52.869 1
< 0.1%
54.384 1
< 0.1%
54.406 1
< 0.1%
57.139 1
< 0.1%
60.338 1
< 0.1%
61.402 1
< 0.1%
ValueCountFrequency (%)
113.588 1
< 0.1%
109.802 1
< 0.1%
108.254 1
< 0.1%
105.064 1
< 0.1%
104.802 1
< 0.1%
101.881 1
< 0.1%
101.472 1
< 0.1%
101.395 1
< 0.1%
101.296 1
< 0.1%
100.706 1
< 0.1%

2013-06
Real number (ℝ)

MISSING 

Distinct1892
Distinct (%)94.4%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.532832
Minimum45.108
Maximum113.874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:41.180892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.108
5-th percentile69.51035
Q177.36475
median81.7985
Q386.08575
95-th percentile92.5168
Maximum113.874
Range68.766
Interquartile range (IQR)8.721

Descriptive statistics

Standard deviation7.1088628
Coefficient of variation (CV)0.087190186
Kurtosis1.3087887
Mean81.532832
Median Absolute Deviation (MAD)4.381
Skewness-0.26752179
Sum163391.8
Variance50.53593
MonotonicityNot monotonic
2023-12-13T09:28:41.281503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.532 3
 
0.1%
93.922 3
 
0.1%
78.018 3
 
0.1%
87.243 3
 
0.1%
85.613 2
 
0.1%
79.63 2
 
0.1%
75.261 2
 
0.1%
86.426 2
 
0.1%
79.413 2
 
0.1%
87.127 2
 
0.1%
Other values (1882) 1980
65.8%
(Missing) 1006
33.4%
ValueCountFrequency (%)
45.108 1
< 0.1%
51.768 1
< 0.1%
52.18 1
< 0.1%
52.305 1
< 0.1%
52.858 1
< 0.1%
54.509 1
< 0.1%
54.615 1
< 0.1%
57.204 1
< 0.1%
60.332 1
< 0.1%
61.56 1
< 0.1%
ValueCountFrequency (%)
113.874 1
< 0.1%
109.854 1
< 0.1%
108.467 1
< 0.1%
105.064 1
< 0.1%
102.798 1
< 0.1%
102.159 1
< 0.1%
101.656 1
< 0.1%
101.489 1
< 0.1%
101.464 1
< 0.1%
100.966 1
< 0.1%

2013-07
Real number (ℝ)

MISSING 

Distinct1891
Distinct (%)94.4%
Missing1006
Missing (%)33.4%
Infinite0
Infinite (%)0.0%
Mean81.562727
Minimum45.503
Maximum113.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:41.383663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.503
5-th percentile69.61485
Q177.3865
median81.856
Q386.05125
95-th percentile92.44795
Maximum113.69
Range68.187
Interquartile range (IQR)8.66475

Descriptive statistics

Standard deviation7.0961128
Coefficient of variation (CV)0.087001907
Kurtosis1.2852612
Mean81.562727
Median Absolute Deviation (MAD)4.338
Skewness-0.27322077
Sum163451.7
Variance50.354816
MonotonicityNot monotonic
2023-12-13T09:28:41.488411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.381 3
 
0.1%
85.299 3
 
0.1%
79.182 3
 
0.1%
80.74 3
 
0.1%
77.503 3
 
0.1%
81.878 2
 
0.1%
87.353 2
 
0.1%
85.532 2
 
0.1%
79.11 2
 
0.1%
71.385 2
 
0.1%
Other values (1881) 1979
65.7%
(Missing) 1006
33.4%
ValueCountFrequency (%)
45.503 1
< 0.1%
52.034 1
< 0.1%
52.208 1
< 0.1%
52.66 1
< 0.1%
52.798 1
< 0.1%
54.509 1
< 0.1%
54.766 1
< 0.1%
57.289 1
< 0.1%
60.292 1
< 0.1%
61.646 1
< 0.1%
ValueCountFrequency (%)
113.69 1
< 0.1%
109.869 1
< 0.1%
108.351 1
< 0.1%
105.064 1
< 0.1%
102.502 1
< 0.1%
102.295 1
< 0.1%
101.594 1
< 0.1%
101.516 1
< 0.1%
101.468 1
< 0.1%
100.81 1
< 0.1%

2013-08
Real number (ℝ)

MISSING 

Distinct1916
Distinct (%)95.2%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.564473
Minimum45.7
Maximum114.006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:41.593433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.7
5-th percentile69.6918
Q177.406
median81.841
Q386.037
95-th percentile92.3988
Maximum114.006
Range68.306
Interquartile range (IQR)8.631

Descriptive statistics

Standard deviation7.0838599
Coefficient of variation (CV)0.086849821
Kurtosis1.2923808
Mean81.564473
Median Absolute Deviation (MAD)4.305
Skewness-0.26721908
Sum164189.28
Variance50.181071
MonotonicityNot monotonic
2023-12-13T09:28:41.696585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.274 3
 
0.1%
82.134 2
 
0.1%
70.824 2
 
0.1%
81.792 2
 
0.1%
76.468 2
 
0.1%
79.634 2
 
0.1%
85.404 2
 
0.1%
78.811 2
 
0.1%
71.286 2
 
0.1%
77.436 2
 
0.1%
Other values (1906) 1992
66.2%
(Missing) 997
33.1%
ValueCountFrequency (%)
45.7 1
< 0.1%
52.133 1
< 0.1%
52.248 1
< 0.1%
52.65 1
< 0.1%
52.719 1
< 0.1%
54.49 1
< 0.1%
54.801 1
< 0.1%
57.554 1
< 0.1%
60.264 1
< 0.1%
61.509 1
< 0.1%
ValueCountFrequency (%)
114.006 1
< 0.1%
109.788 1
< 0.1%
108.373 1
< 0.1%
105.064 1
< 0.1%
102.521 1
< 0.1%
102.502 1
< 0.1%
101.7 1
< 0.1%
101.632 1
< 0.1%
101.501 1
< 0.1%
100.786 1
< 0.1%

2013-09
Real number (ℝ)

MISSING 

Distinct1920
Distinct (%)95.4%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.577653
Minimum46.064
Maximum114.011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:41.804052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.064
5-th percentile69.58
Q177.49
median81.885
Q386.019
95-th percentile92.4008
Maximum114.011
Range67.947
Interquartile range (IQR)8.529

Descriptive statistics

Standard deviation7.061318
Coefficient of variation (CV)0.086559465
Kurtosis1.2859292
Mean81.577653
Median Absolute Deviation (MAD)4.298
Skewness-0.25928264
Sum164215.81
Variance49.862212
MonotonicityNot monotonic
2023-12-13T09:28:41.903661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.791 3
 
0.1%
83.683 3
 
0.1%
73.849 3
 
0.1%
87.884 3
 
0.1%
81.216 3
 
0.1%
83.971 2
 
0.1%
87.739 2
 
0.1%
82.321 2
 
0.1%
82.149 2
 
0.1%
85.299 2
 
0.1%
Other values (1910) 1988
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
46.064 1
< 0.1%
52.295 2
0.1%
52.792 1
< 0.1%
53.159 1
< 0.1%
54.575 1
< 0.1%
55.041 1
< 0.1%
57.828 1
< 0.1%
60.272 1
< 0.1%
61.589 1
< 0.1%
61.819 1
< 0.1%
ValueCountFrequency (%)
114.011 1
< 0.1%
109.856 1
< 0.1%
108.513 1
< 0.1%
105.064 1
< 0.1%
102.648 1
< 0.1%
102.502 1
< 0.1%
101.686 1
< 0.1%
101.664 1
< 0.1%
101.437 1
< 0.1%
100.71 1
< 0.1%

2013-10
Real number (ℝ)

MISSING 

Distinct1913
Distinct (%)95.0%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.65144
Minimum46.434
Maximum114.205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:42.006533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.434
5-th percentile69.765
Q177.567
median81.957
Q386.076
95-th percentile92.453
Maximum114.205
Range67.771
Interquartile range (IQR)8.509

Descriptive statistics

Standard deviation7.0394602
Coefficient of variation (CV)0.086213547
Kurtosis1.3036517
Mean81.65144
Median Absolute Deviation (MAD)4.261
Skewness-0.25732684
Sum164364.35
Variance49.554001
MonotonicityNot monotonic
2023-12-13T09:28:42.109796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.053 3
 
0.1%
85.489 3
 
0.1%
82.139 2
 
0.1%
82.053 2
 
0.1%
90.314 2
 
0.1%
85.771 2
 
0.1%
81.318 2
 
0.1%
87.329 2
 
0.1%
86.298 2
 
0.1%
88.897 2
 
0.1%
Other values (1903) 1991
66.1%
(Missing) 997
33.1%
ValueCountFrequency (%)
46.434 1
< 0.1%
52.39 1
< 0.1%
52.595 1
< 0.1%
52.944 1
< 0.1%
53.03 1
< 0.1%
54.674 1
< 0.1%
55.078 1
< 0.1%
57.922 1
< 0.1%
60.336 1
< 0.1%
61.579 1
< 0.1%
ValueCountFrequency (%)
114.205 1
< 0.1%
109.955 1
< 0.1%
108.596 1
< 0.1%
105.064 1
< 0.1%
102.907 1
< 0.1%
102.204 1
< 0.1%
102.003 1
< 0.1%
101.753 1
< 0.1%
101.437 1
< 0.1%
100.736 1
< 0.1%

2013-11
Real number (ℝ)

MISSING 

Distinct1891
Distinct (%)93.9%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.73198
Minimum46.678
Maximum114.116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:42.218300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46.678
5-th percentile69.9428
Q177.7
median82.035
Q386.17
95-th percentile92.473
Maximum114.116
Range67.438
Interquartile range (IQR)8.47

Descriptive statistics

Standard deviation7.0139047
Coefficient of variation (CV)0.085815916
Kurtosis1.3128969
Mean81.73198
Median Absolute Deviation (MAD)4.227
Skewness-0.26072074
Sum164526.48
Variance49.194859
MonotonicityNot monotonic
2023-12-13T09:28:42.334556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.607 4
 
0.1%
87.358 3
 
0.1%
84.381 3
 
0.1%
74.867 3
 
0.1%
80.542 3
 
0.1%
83.139 2
 
0.1%
83.233 2
 
0.1%
83.367 2
 
0.1%
79.892 2
 
0.1%
88.454 2
 
0.1%
Other values (1881) 1987
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
46.678 1
< 0.1%
52.395 1
< 0.1%
52.753 1
< 0.1%
52.857 1
< 0.1%
53.433 1
< 0.1%
54.732 1
< 0.1%
55.181 1
< 0.1%
58.051 1
< 0.1%
60.44 1
< 0.1%
61.446 1
< 0.1%
ValueCountFrequency (%)
114.116 1
< 0.1%
110.115 1
< 0.1%
108.444 1
< 0.1%
105.064 1
< 0.1%
103.102 1
< 0.1%
102.074 1
< 0.1%
101.648 1
< 0.1%
101.437 1
< 0.1%
101.207 1
< 0.1%
100.905 1
< 0.1%

2013-12
Real number (ℝ)

MISSING 

Distinct1902
Distinct (%)94.5%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.808788
Minimum47.143
Maximum114.126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:42.438745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.143
5-th percentile70.0044
Q177.803
median82.107
Q386.211
95-th percentile92.4542
Maximum114.126
Range66.983
Interquartile range (IQR)8.408

Descriptive statistics

Standard deviation6.989291
Coefficient of variation (CV)0.085434476
Kurtosis1.3087652
Mean81.808788
Median Absolute Deviation (MAD)4.229
Skewness-0.2586953
Sum164681.09
Variance48.850188
MonotonicityNot monotonic
2023-12-13T09:28:42.542562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.724 3
 
0.1%
80.611 3
 
0.1%
82.725 3
 
0.1%
80.523 3
 
0.1%
85.252 3
 
0.1%
75.125 2
 
0.1%
81.436 2
 
0.1%
86.825 2
 
0.1%
82.752 2
 
0.1%
73.065 2
 
0.1%
Other values (1892) 1988
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
47.143 1
< 0.1%
52.596 1
< 0.1%
52.871 1
< 0.1%
52.948 1
< 0.1%
53.846 1
< 0.1%
54.797 1
< 0.1%
55.431 1
< 0.1%
58.316 1
< 0.1%
60.524 1
< 0.1%
61.823 1
< 0.1%
ValueCountFrequency (%)
114.126 1
< 0.1%
110.226 1
< 0.1%
108.409 1
< 0.1%
105.064 1
< 0.1%
103.236 1
< 0.1%
102.146 1
< 0.1%
101.711 1
< 0.1%
101.437 1
< 0.1%
101.293 1
< 0.1%
100.774 1
< 0.1%

2014-01
Real number (ℝ)

MISSING 

Distinct1905
Distinct (%)94.6%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.851673
Minimum47.358
Maximum114.237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:42.647462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.358
5-th percentile70.1068
Q177.835
median82.152
Q386.246
95-th percentile92.5034
Maximum114.237
Range66.879
Interquartile range (IQR)8.411

Descriptive statistics

Standard deviation6.9671586
Coefficient of variation (CV)0.085119319
Kurtosis1.3211285
Mean81.851673
Median Absolute Deviation (MAD)4.204
Skewness-0.2573747
Sum164767.42
Variance48.541299
MonotonicityNot monotonic
2023-12-13T09:28:42.749763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.562 4
 
0.1%
80.791 3
 
0.1%
89.348 3
 
0.1%
87.307 3
 
0.1%
77.493 3
 
0.1%
87.172 3
 
0.1%
87.896 2
 
0.1%
80.535 2
 
0.1%
84.124 2
 
0.1%
75.556 2
 
0.1%
Other values (1895) 1986
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
47.358 1
< 0.1%
52.73 1
< 0.1%
52.764 1
< 0.1%
53.284 1
< 0.1%
53.975 1
< 0.1%
54.821 1
< 0.1%
55.555 1
< 0.1%
58.459 1
< 0.1%
60.542 1
< 0.1%
61.995 1
< 0.1%
ValueCountFrequency (%)
114.237 1
< 0.1%
110.228 1
< 0.1%
108.432 1
< 0.1%
105.064 1
< 0.1%
103.638 1
< 0.1%
102.279 1
< 0.1%
101.748 1
< 0.1%
101.547 1
< 0.1%
101.34 1
< 0.1%
100.789 1
< 0.1%

2014-02
Real number (ℝ)

MISSING 

Distinct1913
Distinct (%)95.0%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean81.925613
Minimum47.582
Maximum114.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:42.865507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.582
5-th percentile70.3394
Q177.907
median82.216
Q386.276
95-th percentile92.5188
Maximum114.364
Range66.782
Interquartile range (IQR)8.369

Descriptive statistics

Standard deviation6.9488479
Coefficient of variation (CV)0.084818991
Kurtosis1.3326122
Mean81.925613
Median Absolute Deviation (MAD)4.204
Skewness-0.25156418
Sum164916.26
Variance48.286487
MonotonicityNot monotonic
2023-12-13T09:28:42.976491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.226 3
 
0.1%
85.947 3
 
0.1%
71.868 3
 
0.1%
71.489 2
 
0.1%
84.636 2
 
0.1%
89.448 2
 
0.1%
87.307 2
 
0.1%
81.801 2
 
0.1%
77.014 2
 
0.1%
77.479 2
 
0.1%
Other values (1903) 1990
66.1%
(Missing) 997
33.1%
ValueCountFrequency (%)
47.582 1
< 0.1%
52.724 1
< 0.1%
52.912 1
< 0.1%
53.602 1
< 0.1%
54.297 1
< 0.1%
54.925 1
< 0.1%
55.644 1
< 0.1%
58.572 1
< 0.1%
60.71 1
< 0.1%
62.051 1
< 0.1%
ValueCountFrequency (%)
114.364 1
< 0.1%
110.27 1
< 0.1%
108.736 1
< 0.1%
105.064 1
< 0.1%
103.89 1
< 0.1%
102.527 1
< 0.1%
101.89 1
< 0.1%
101.668 1
< 0.1%
101.547 1
< 0.1%
100.989 1
< 0.1%

2014-03
Real number (ℝ)

MISSING 

Distinct1890
Distinct (%)93.9%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean82.023073
Minimum47.857
Maximum114.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:43.083326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.857
5-th percentile70.408
Q178.031
median82.283
Q386.336
95-th percentile92.6042
Maximum114.364
Range66.507
Interquartile range (IQR)8.305

Descriptive statistics

Standard deviation6.9201606
Coefficient of variation (CV)0.084368463
Kurtosis1.3413883
Mean82.023073
Median Absolute Deviation (MAD)4.189
Skewness-0.25318327
Sum165112.44
Variance47.888622
MonotonicityNot monotonic
2023-12-13T09:28:43.185273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.044 3
 
0.1%
84.93 3
 
0.1%
79.086 3
 
0.1%
75.955 3
 
0.1%
89.358 3
 
0.1%
82.715 3
 
0.1%
77.528 2
 
0.1%
81.227 2
 
0.1%
87.876 2
 
0.1%
84.682 2
 
0.1%
Other values (1880) 1987
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
47.857 1
< 0.1%
52.9 1
< 0.1%
53.158 1
< 0.1%
54.091 1
< 0.1%
54.487 1
< 0.1%
55.043 1
< 0.1%
55.959 1
< 0.1%
58.738 1
< 0.1%
60.828 1
< 0.1%
62.051 1
< 0.1%
ValueCountFrequency (%)
114.364 1
< 0.1%
110.34 1
< 0.1%
108.77 1
< 0.1%
105.064 1
< 0.1%
103.984 1
< 0.1%
102.811 1
< 0.1%
101.947 1
< 0.1%
101.846 1
< 0.1%
101.618 1
< 0.1%
101.362 1
< 0.1%

2014-04
Real number (ℝ)

MISSING 

Distinct1897
Distinct (%)94.2%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean82.127478
Minimum48.248
Maximum114.505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:43.292507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.248
5-th percentile70.499
Q178.153
median82.363
Q386.459
95-th percentile92.6344
Maximum114.505
Range66.257
Interquartile range (IQR)8.306

Descriptive statistics

Standard deviation6.909968
Coefficient of variation (CV)0.084137102
Kurtosis1.3444318
Mean82.127478
Median Absolute Deviation (MAD)4.141
Skewness-0.2392206
Sum165322.61
Variance47.747657
MonotonicityNot monotonic
2023-12-13T09:28:43.628231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.691 4
 
0.1%
79.556 3
 
0.1%
79.115 3
 
0.1%
78.71 3
 
0.1%
74.125 3
 
0.1%
83.28 3
 
0.1%
82.624 3
 
0.1%
83.919 3
 
0.1%
86.991 2
 
0.1%
82.402 2
 
0.1%
Other values (1887) 1984
65.9%
(Missing) 997
33.1%
ValueCountFrequency (%)
48.248 1
< 0.1%
53.169 1
< 0.1%
53.383 1
< 0.1%
54.645 1
< 0.1%
54.789 1
< 0.1%
55.175 1
< 0.1%
56.085 1
< 0.1%
58.888 1
< 0.1%
61.046 1
< 0.1%
62.327 1
< 0.1%
ValueCountFrequency (%)
114.505 1
< 0.1%
110.457 1
< 0.1%
108.884 1
< 0.1%
105.064 1
< 0.1%
104.532 1
< 0.1%
103.311 1
< 0.1%
102.654 1
< 0.1%
102.028 1
< 0.1%
101.91 1
< 0.1%
101.618 1
< 0.1%

2014-05
Real number (ℝ)

MISSING 

Distinct1895
Distinct (%)94.1%
Missing997
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean82.205631
Minimum48.66
Maximum114.505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:43.731456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.66
5-th percentile70.6606
Q178.297
median82.436
Q386.532
95-th percentile92.656
Maximum114.505
Range65.845
Interquartile range (IQR)8.235

Descriptive statistics

Standard deviation6.8929837
Coefficient of variation (CV)0.083850505
Kurtosis1.3550586
Mean82.205631
Median Absolute Deviation (MAD)4.129
Skewness-0.2343445
Sum165479.94
Variance47.513224
MonotonicityNot monotonic
2023-12-13T09:28:43.836047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.237 3
 
0.1%
85.108 3
 
0.1%
84.546 3
 
0.1%
78.409 3
 
0.1%
89.642 3
 
0.1%
83.733 2
 
0.1%
83.763 2
 
0.1%
80.337 2
 
0.1%
77.87 2
 
0.1%
84.544 2
 
0.1%
Other values (1885) 1988
66.0%
(Missing) 997
33.1%
ValueCountFrequency (%)
48.66 1
< 0.1%
53.286 1
< 0.1%
53.386 1
< 0.1%
55.007 1
< 0.1%
55.101 1
< 0.1%
55.243 1
< 0.1%
56.322 1
< 0.1%
58.945 1
< 0.1%
61.294 1
< 0.1%
62.5 1
< 0.1%
ValueCountFrequency (%)
114.505 1
< 0.1%
110.573 1
< 0.1%
109.072 1
< 0.1%
105.064 1
< 0.1%
104.971 1
< 0.1%
103.87 1
< 0.1%
102.688 1
< 0.1%
102.654 1
< 0.1%
102.359 1
< 0.1%
101.664 1
< 0.1%

2014-06
Real number (ℝ)

MISSING 

Distinct1952
Distinct (%)95.0%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.271992
Minimum48.872
Maximum114.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:43.946032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48.872
5-th percentile70.7605
Q178.342
median82.564
Q386.49925
95-th percentile92.69815
Maximum114.841
Range65.969
Interquartile range (IQR)8.15725

Descriptive statistics

Standard deviation6.8502173
Coefficient of variation (CV)0.083263054
Kurtosis1.3839327
Mean82.271992
Median Absolute Deviation (MAD)4.0635
Skewness-0.22442944
Sum168986.67
Variance46.925477
MonotonicityNot monotonic
2023-12-13T09:28:44.054035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.716 3
 
0.1%
81.611 3
 
0.1%
82.702 3
 
0.1%
79.392 3
 
0.1%
84.52 2
 
0.1%
89.032 2
 
0.1%
82.262 2
 
0.1%
82.468 2
 
0.1%
75.52 2
 
0.1%
85.55 2
 
0.1%
Other values (1942) 2030
67.4%
(Missing) 956
31.8%
ValueCountFrequency (%)
48.872 1
< 0.1%
53.373 1
< 0.1%
53.463 1
< 0.1%
55.217 1
< 0.1%
55.369 1
< 0.1%
55.584 1
< 0.1%
56.554 1
< 0.1%
59.046 1
< 0.1%
61.71 1
< 0.1%
62.51 1
< 0.1%
ValueCountFrequency (%)
114.841 1
< 0.1%
110.603 1
< 0.1%
109.344 1
< 0.1%
105.346 1
< 0.1%
105.166 1
< 0.1%
104.239 1
< 0.1%
103.118 1
< 0.1%
102.626 1
< 0.1%
102.514 1
< 0.1%
101.848 1
< 0.1%

2014-07
Real number (ℝ)

MISSING 

Distinct1942
Distinct (%)94.5%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.363868
Minimum49.248
Maximum114.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:44.157681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.248
5-th percentile70.84495
Q178.47025
median82.6505
Q386.5885
95-th percentile92.6911
Maximum114.841
Range65.593
Interquartile range (IQR)8.11825

Descriptive statistics

Standard deviation6.8279093
Coefficient of variation (CV)0.082899327
Kurtosis1.3909134
Mean82.363868
Median Absolute Deviation (MAD)4.074
Skewness-0.22386083
Sum169175.39
Variance46.620345
MonotonicityNot monotonic
2023-12-13T09:28:44.264507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.104 3
 
0.1%
87.19 3
 
0.1%
85.687 3
 
0.1%
85.601 3
 
0.1%
84.446 3
 
0.1%
85.767 2
 
0.1%
85.473 2
 
0.1%
85.93 2
 
0.1%
87.418 2
 
0.1%
81.806 2
 
0.1%
Other values (1932) 2029
67.4%
(Missing) 956
31.8%
ValueCountFrequency (%)
49.248 1
< 0.1%
53.442 1
< 0.1%
53.613 1
< 0.1%
55.359 1
< 0.1%
55.519 1
< 0.1%
56.001 1
< 0.1%
56.839 1
< 0.1%
59.296 1
< 0.1%
62.05 1
< 0.1%
62.522 1
< 0.1%
ValueCountFrequency (%)
114.841 1
< 0.1%
110.728 1
< 0.1%
109.552 1
< 0.1%
105.534 1
< 0.1%
105.014 1
< 0.1%
104.678 1
< 0.1%
103.398 1
< 0.1%
102.864 1
< 0.1%
102.514 1
< 0.1%
101.992 1
< 0.1%

2014-08
Real number (ℝ)

MISSING 

Distinct1951
Distinct (%)95.0%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.441019
Minimum49.562
Maximum114.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:44.372071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.562
5-th percentile70.94925
Q178.5555
median82.7185
Q386.613
95-th percentile92.807
Maximum114.841
Range65.279
Interquartile range (IQR)8.0575

Descriptive statistics

Standard deviation6.810649
Coefficient of variation (CV)0.082612382
Kurtosis1.37891
Mean82.441019
Median Absolute Deviation (MAD)4.064
Skewness-0.21996602
Sum169333.85
Variance46.384939
MonotonicityNot monotonic
2023-12-13T09:28:44.477347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.065 2
 
0.1%
82.932 2
 
0.1%
88.68 2
 
0.1%
81.597 2
 
0.1%
85.327 2
 
0.1%
75.44 2
 
0.1%
83.805 2
 
0.1%
84.028 2
 
0.1%
80.504 2
 
0.1%
76.449 2
 
0.1%
Other values (1941) 2034
67.6%
(Missing) 956
31.8%
ValueCountFrequency (%)
49.562 1
< 0.1%
53.455 1
< 0.1%
53.866 1
< 0.1%
55.459 1
< 0.1%
55.939 1
< 0.1%
56.565 1
< 0.1%
57.269 1
< 0.1%
59.396 1
< 0.1%
62.328 1
< 0.1%
62.481 1
< 0.1%
ValueCountFrequency (%)
114.841 1
< 0.1%
110.825 1
< 0.1%
109.654 1
< 0.1%
105.591 1
< 0.1%
105.014 1
< 0.1%
104.884 1
< 0.1%
103.373 1
< 0.1%
102.838 1
< 0.1%
102.514 1
< 0.1%
101.743 1
< 0.1%

2014-09
Real number (ℝ)

MISSING 

Distinct1939
Distinct (%)94.4%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.527576
Minimum49.701
Maximum114.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:44.582095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.701
5-th percentile70.9891
Q178.64325
median82.766
Q386.66475
95-th percentile92.8828
Maximum114.841
Range65.14
Interquartile range (IQR)8.0215

Descriptive statistics

Standard deviation6.7882913
Coefficient of variation (CV)0.082254825
Kurtosis1.3885079
Mean82.527576
Median Absolute Deviation (MAD)4.0445
Skewness-0.22045589
Sum169511.64
Variance46.080899
MonotonicityNot monotonic
2023-12-13T09:28:44.683909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.979 3
 
0.1%
83.499 3
 
0.1%
80.014 3
 
0.1%
80.84 3
 
0.1%
80.041 3
 
0.1%
76.239 2
 
0.1%
82.632 2
 
0.1%
81.52 2
 
0.1%
89.154 2
 
0.1%
87.659 2
 
0.1%
Other values (1929) 2029
67.4%
(Missing) 956
31.8%
ValueCountFrequency (%)
49.701 1
< 0.1%
53.625 1
< 0.1%
53.878 1
< 0.1%
55.586 1
< 0.1%
56.114 1
< 0.1%
56.667 1
< 0.1%
57.378 1
< 0.1%
59.47 1
< 0.1%
62.538 1
< 0.1%
62.728 1
< 0.1%
ValueCountFrequency (%)
114.841 1
< 0.1%
110.884 1
< 0.1%
109.786 1
< 0.1%
105.84 1
< 0.1%
105.183 1
< 0.1%
105.014 1
< 0.1%
103.385 1
< 0.1%
102.932 1
< 0.1%
102.514 1
< 0.1%
101.887 1
< 0.1%

2014-10
Real number (ℝ)

MISSING 

Distinct1945
Distinct (%)94.7%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.633436
Minimum49.776
Maximum114.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:44.785890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.776
5-th percentile71.19565
Q178.76525
median82.863
Q386.742
95-th percentile92.9728
Maximum114.841
Range65.065
Interquartile range (IQR)7.97675

Descriptive statistics

Standard deviation6.7606824
Coefficient of variation (CV)0.081815337
Kurtosis1.4172246
Mean82.633436
Median Absolute Deviation (MAD)4.0185
Skewness-0.21806451
Sum169729.08
Variance45.706826
MonotonicityNot monotonic
2023-12-13T09:28:44.893056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.924 3
 
0.1%
85.391 3
 
0.1%
85.167 3
 
0.1%
83.613 3
 
0.1%
81.195 2
 
0.1%
77.288 2
 
0.1%
99.839 2
 
0.1%
77.785 2
 
0.1%
82.107 2
 
0.1%
85.852 2
 
0.1%
Other values (1935) 2030
67.4%
(Missing) 956
31.8%
ValueCountFrequency (%)
49.776 1
< 0.1%
53.892 1
< 0.1%
53.988 1
< 0.1%
55.676 1
< 0.1%
56.21 1
< 0.1%
56.783 1
< 0.1%
57.488 1
< 0.1%
59.648 1
< 0.1%
62.496 1
< 0.1%
62.659 1
< 0.1%
ValueCountFrequency (%)
114.841 1
< 0.1%
110.949 1
< 0.1%
110.059 1
< 0.1%
106.095 1
< 0.1%
105.394 1
< 0.1%
105.014 1
< 0.1%
103.812 1
< 0.1%
102.867 1
< 0.1%
102.514 1
< 0.1%
101.887 1
< 0.1%

2014-11
Real number (ℝ)

MISSING 

Distinct1934
Distinct (%)94.2%
Missing956
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean82.725028
Minimum49.852
Maximum114.878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:44.996346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49.852
5-th percentile71.38195
Q178.856
median82.97
Q386.837
95-th percentile93.00625
Maximum114.878
Range65.026
Interquartile range (IQR)7.981

Descriptive statistics

Standard deviation6.735227
Coefficient of variation (CV)0.081417041
Kurtosis1.4357708
Mean82.725028
Median Absolute Deviation (MAD)3.9895
Skewness-0.21956477
Sum169917.21
Variance45.363283
MonotonicityNot monotonic
2023-12-13T09:28:45.107732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.065 3
 
0.1%
83.648 3
 
0.1%
79.43 3
 
0.1%
78.455 3
 
0.1%
79.675 3
 
0.1%
81.971 3
 
0.1%
90.619 3
 
0.1%
78.856 3
 
0.1%
85.334 3
 
0.1%
80.273 3
 
0.1%
Other values (1924) 2024
67.2%
(Missing) 956
31.8%
ValueCountFrequency (%)
49.852 1
< 0.1%
53.99 1
< 0.1%
54.073 1
< 0.1%
55.861 1
< 0.1%
56.287 1
< 0.1%
56.817 1
< 0.1%
57.483 1
< 0.1%
59.764 1
< 0.1%
62.691 1
< 0.1%
62.781 1
< 0.1%
ValueCountFrequency (%)
114.878 1
< 0.1%
111.03 1
< 0.1%
110.089 1
< 0.1%
106.14 1
< 0.1%
105.859 1
< 0.1%
105.014 1
< 0.1%
103.691 1
< 0.1%
102.859 1
< 0.1%
102.556 1
< 0.1%
101.89 1
< 0.1%

2014-12
Real number (ℝ)

MISSING 

Distinct1951
Distinct (%)94.6%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean82.854904
Minimum50.029
Maximum115.039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:45.222656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.029
5-th percentile71.5676
Q178.9595
median83.0835
Q386.94275
95-th percentile93.09855
Maximum115.039
Range65.01
Interquartile range (IQR)7.98325

Descriptive statistics

Standard deviation6.7146554
Coefficient of variation (CV)0.081041134
Kurtosis1.4425949
Mean82.854904
Median Absolute Deviation (MAD)4.0035
Skewness-0.22438577
Sum170846.81
Variance45.086598
MonotonicityNot monotonic
2023-12-13T09:28:45.332178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.794 3
 
0.1%
82.434 3
 
0.1%
84.444 3
 
0.1%
85.76 3
 
0.1%
77.922 3
 
0.1%
85.852 3
 
0.1%
88.49 2
 
0.1%
84.149 2
 
0.1%
84.431 2
 
0.1%
84.456 2
 
0.1%
Other values (1941) 2036
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.029 1
< 0.1%
54.061 1
< 0.1%
54.256 1
< 0.1%
56.118 1
< 0.1%
56.562 1
< 0.1%
56.862 1
< 0.1%
57.478 1
< 0.1%
60.003 1
< 0.1%
62.675 1
< 0.1%
62.983 1
< 0.1%
ValueCountFrequency (%)
115.039 1
< 0.1%
111.214 1
< 0.1%
110.351 1
< 0.1%
106.321 1
< 0.1%
105.889 1
< 0.1%
105.014 1
< 0.1%
103.762 1
< 0.1%
102.784 1
< 0.1%
102.556 1
< 0.1%
101.89 1
< 0.1%

2015-01
Real number (ℝ)

MISSING 

Distinct1944
Distinct (%)94.3%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean82.936639
Minimum50.047
Maximum115.039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:45.432238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.047
5-th percentile71.80345
Q179.05525
median83.1625
Q387.021
95-th percentile93.0577
Maximum115.039
Range64.992
Interquartile range (IQR)7.96575

Descriptive statistics

Standard deviation6.6943114
Coefficient of variation (CV)0.080715971
Kurtosis1.4660692
Mean82.936639
Median Absolute Deviation (MAD)3.9985
Skewness-0.22448365
Sum171015.35
Variance44.813805
MonotonicityNot monotonic
2023-12-13T09:28:45.532233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.664 3
 
0.1%
82.841 3
 
0.1%
87.821 3
 
0.1%
78.328 3
 
0.1%
82.783 3
 
0.1%
83.847 3
 
0.1%
85.706 2
 
0.1%
85.344 2
 
0.1%
86.49 2
 
0.1%
89.018 2
 
0.1%
Other values (1934) 2036
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.047 1
< 0.1%
54.099 1
< 0.1%
54.306 1
< 0.1%
56.274 1
< 0.1%
56.845 1
< 0.1%
56.871 1
< 0.1%
57.476 1
< 0.1%
60.232 1
< 0.1%
62.83 1
< 0.1%
63.284 1
< 0.1%
ValueCountFrequency (%)
115.039 1
< 0.1%
111.259 1
< 0.1%
110.383 1
< 0.1%
106.429 1
< 0.1%
106.123 1
< 0.1%
104.881 1
< 0.1%
103.681 1
< 0.1%
102.648 1
< 0.1%
102.556 1
< 0.1%
102.243 1
< 0.1%

2015-02
Real number (ℝ)

MISSING 

Distinct1946
Distinct (%)94.4%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.014168
Minimum50.141
Maximum115.171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:45.636775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.141
5-th percentile71.89375
Q179.17425
median83.2625
Q387.04025
95-th percentile93.0954
Maximum115.171
Range65.03
Interquartile range (IQR)7.866

Descriptive statistics

Standard deviation6.672795
Coefficient of variation (CV)0.0803814
Kurtosis1.5035567
Mean83.014168
Median Absolute Deviation (MAD)3.9665
Skewness-0.22539765
Sum171175.21
Variance44.526194
MonotonicityNot monotonic
2023-12-13T09:28:45.734624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.621 3
 
0.1%
85.797 3
 
0.1%
81.261 3
 
0.1%
90.749 3
 
0.1%
85.815 3
 
0.1%
79.986 2
 
0.1%
81.776 2
 
0.1%
83.953 2
 
0.1%
80.112 2
 
0.1%
85.32 2
 
0.1%
Other values (1936) 2037
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.141 1
< 0.1%
54.159 1
< 0.1%
54.199 1
< 0.1%
56.403 1
< 0.1%
56.919 1
< 0.1%
56.953 1
< 0.1%
57.47 1
< 0.1%
60.576 1
< 0.1%
63.105 1
< 0.1%
63.386 1
< 0.1%
ValueCountFrequency (%)
115.171 1
< 0.1%
111.357 1
< 0.1%
110.642 1
< 0.1%
106.593 1
< 0.1%
106.272 1
< 0.1%
104.881 1
< 0.1%
103.735 1
< 0.1%
102.626 1
< 0.1%
102.556 1
< 0.1%
102.508 1
< 0.1%

2015-03
Real number (ℝ)

MISSING 

Distinct1946
Distinct (%)94.4%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.133073
Minimum50.305
Maximum115.163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:45.848076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.305
5-th percentile71.99825
Q179.30325
median83.3785
Q387.12875
95-th percentile93.2265
Maximum115.163
Range64.858
Interquartile range (IQR)7.8255

Descriptive statistics

Standard deviation6.644769
Coefficient of variation (CV)0.079929308
Kurtosis1.5224442
Mean83.133073
Median Absolute Deviation (MAD)3.917
Skewness-0.22944011
Sum171420.4
Variance44.152955
MonotonicityNot monotonic
2023-12-13T09:28:45.975385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.452 3
 
0.1%
81.966 3
 
0.1%
89.223 3
 
0.1%
85.345 3
 
0.1%
80.996 3
 
0.1%
83.236 3
 
0.1%
75.6 2
 
0.1%
86.572 2
 
0.1%
89.064 2
 
0.1%
86.309 2
 
0.1%
Other values (1936) 2036
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.305 1
< 0.1%
54.318 1
< 0.1%
54.331 1
< 0.1%
56.6 1
< 0.1%
57.05 1
< 0.1%
57.169 1
< 0.1%
57.706 1
< 0.1%
60.744 1
< 0.1%
63.434 1
< 0.1%
64.072 1
< 0.1%
ValueCountFrequency (%)
115.163 1
< 0.1%
111.413 1
< 0.1%
110.899 1
< 0.1%
106.673 1
< 0.1%
106.631 1
< 0.1%
104.881 1
< 0.1%
103.995 1
< 0.1%
102.598 1
< 0.1%
102.572 1
< 0.1%
102.513 1
< 0.1%

2015-04
Real number (ℝ)

MISSING 

Distinct1941
Distinct (%)94.1%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.255716
Minimum50.397
Maximum115.347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:46.078650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.397
5-th percentile72.10425
Q179.419
median83.5275
Q387.2195
95-th percentile93.25325
Maximum115.347
Range64.95
Interquartile range (IQR)7.8005

Descriptive statistics

Standard deviation6.6246972
Coefficient of variation (CV)0.079570479
Kurtosis1.5465442
Mean83.255716
Median Absolute Deviation (MAD)3.8945
Skewness-0.23229865
Sum171673.29
Variance43.886613
MonotonicityNot monotonic
2023-12-13T09:28:46.177101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.495 4
 
0.1%
76.318 3
 
0.1%
84.745 3
 
0.1%
88.741 3
 
0.1%
76.076 3
 
0.1%
85.42 3
 
0.1%
83.708 3
 
0.1%
84.299 3
 
0.1%
86.657 2
 
0.1%
86.4 2
 
0.1%
Other values (1931) 2033
67.5%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.397 1
< 0.1%
54.397 1
< 0.1%
54.545 1
< 0.1%
56.722 1
< 0.1%
57.184 1
< 0.1%
57.197 1
< 0.1%
57.802 1
< 0.1%
60.714 1
< 0.1%
63.461 1
< 0.1%
64.436 1
< 0.1%
ValueCountFrequency (%)
115.347 1
< 0.1%
111.528 1
< 0.1%
110.973 1
< 0.1%
106.776 1
< 0.1%
106.714 1
< 0.1%
104.881 1
< 0.1%
103.941 1
< 0.1%
102.642 1
< 0.1%
102.572 1
< 0.1%
102.509 1
< 0.1%

2015-05
Real number (ℝ)

MISSING 

Distinct1955
Distinct (%)94.8%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.37037
Minimum50.502
Maximum115.426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:46.282926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.502
5-th percentile72.3354
Q179.537
median83.6015
Q387.33875
95-th percentile93.454
Maximum115.426
Range64.924
Interquartile range (IQR)7.80175

Descriptive statistics

Standard deviation6.5965241
Coefficient of variation (CV)0.079123123
Kurtosis1.5658937
Mean83.37037
Median Absolute Deviation (MAD)3.8905
Skewness-0.23204875
Sum171909.7
Variance43.51413
MonotonicityNot monotonic
2023-12-13T09:28:46.622671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.322 3
 
0.1%
83.636 3
 
0.1%
83.26 3
 
0.1%
82.292 2
 
0.1%
83.275 2
 
0.1%
84.451 2
 
0.1%
83.211 2
 
0.1%
79.119 2
 
0.1%
81.546 2
 
0.1%
81.713 2
 
0.1%
Other values (1945) 2039
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.502 1
< 0.1%
54.387 1
< 0.1%
54.682 1
< 0.1%
56.916 1
< 0.1%
57.445 1
< 0.1%
57.468 1
< 0.1%
57.975 1
< 0.1%
60.983 1
< 0.1%
63.467 1
< 0.1%
64.451 1
< 0.1%
ValueCountFrequency (%)
115.426 1
< 0.1%
111.536 1
< 0.1%
110.953 1
< 0.1%
106.942 1
< 0.1%
106.773 1
< 0.1%
104.93 1
< 0.1%
104.042 1
< 0.1%
103.422 1
< 0.1%
102.864 1
< 0.1%
102.597 1
< 0.1%

2015-06
Real number (ℝ)

MISSING 

Distinct1938
Distinct (%)94.0%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.512828
Minimum50.7
Maximum115.426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:46.724900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.7
5-th percentile72.5173
Q179.73175
median83.77
Q387.492
95-th percentile93.454
Maximum115.426
Range64.726
Interquartile range (IQR)7.76025

Descriptive statistics

Standard deviation6.5713034
Coefficient of variation (CV)0.078686156
Kurtosis1.5707979
Mean83.512828
Median Absolute Deviation (MAD)3.8695
Skewness-0.22790576
Sum172203.45
Variance43.182028
MonotonicityNot monotonic
2023-12-13T09:28:46.836426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.609 3
 
0.1%
86.82 3
 
0.1%
83.984 3
 
0.1%
86.263 3
 
0.1%
81.287 3
 
0.1%
89.253 2
 
0.1%
83.505 2
 
0.1%
86.266 2
 
0.1%
83.304 2
 
0.1%
84.779 2
 
0.1%
Other values (1928) 2037
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.7 1
< 0.1%
54.49 1
< 0.1%
54.815 1
< 0.1%
57.113 1
< 0.1%
57.718 1
< 0.1%
57.868 1
< 0.1%
58.165 1
< 0.1%
61.298 1
< 0.1%
64.283 1
< 0.1%
64.636 1
< 0.1%
ValueCountFrequency (%)
115.426 1
< 0.1%
111.757 1
< 0.1%
111.136 1
< 0.1%
107.101 1
< 0.1%
106.94 1
< 0.1%
104.93 1
< 0.1%
104.023 1
< 0.1%
103.422 1
< 0.1%
102.955 1
< 0.1%
102.597 1
< 0.1%

2015-07
Real number (ℝ)

MISSING 

Distinct1950
Distinct (%)94.6%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.652991
Minimum50.943
Maximum115.434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:46.949217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.943
5-th percentile72.72815
Q179.89
median83.9155
Q387.61475
95-th percentile93.50585
Maximum115.434
Range64.491
Interquartile range (IQR)7.72475

Descriptive statistics

Standard deviation6.5393729
Coefficient of variation (CV)0.078172613
Kurtosis1.5876561
Mean83.652991
Median Absolute Deviation (MAD)3.877
Skewness-0.2266897
Sum172492.47
Variance42.763398
MonotonicityNot monotonic
2023-12-13T09:28:47.056145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.487 3
 
0.1%
80.754 2
 
0.1%
87.97 2
 
0.1%
82.746 2
 
0.1%
85.277 2
 
0.1%
89.42 2
 
0.1%
81.866 2
 
0.1%
83.891 2
 
0.1%
86.995 2
 
0.1%
86.678 2
 
0.1%
Other values (1940) 2041
67.8%
(Missing) 948
31.5%
ValueCountFrequency (%)
50.943 1
< 0.1%
54.741 1
< 0.1%
54.882 1
< 0.1%
57.34 1
< 0.1%
57.935 1
< 0.1%
58.085 1
< 0.1%
58.436 1
< 0.1%
61.636 1
< 0.1%
64.736 1
< 0.1%
64.791 1
< 0.1%
ValueCountFrequency (%)
115.434 1
< 0.1%
111.788 1
< 0.1%
111.362 1
< 0.1%
107.228 1
< 0.1%
107.14 1
< 0.1%
104.93 1
< 0.1%
104.053 1
< 0.1%
103.593 1
< 0.1%
102.988 1
< 0.1%
102.597 1
< 0.1%

2015-08
Real number (ℝ)

MISSING 

Distinct1941
Distinct (%)94.1%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.774808
Minimum51.146
Maximum115.433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:47.159571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.146
5-th percentile72.87835
Q180.0535
median84.015
Q387.67275
95-th percentile93.63415
Maximum115.433
Range64.287
Interquartile range (IQR)7.61925

Descriptive statistics

Standard deviation6.5115621
Coefficient of variation (CV)0.077726972
Kurtosis1.6147214
Mean83.774808
Median Absolute Deviation (MAD)3.8155
Skewness-0.22273593
Sum172743.65
Variance42.400441
MonotonicityNot monotonic
2023-12-13T09:28:47.263416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.344 3
 
0.1%
85.681 3
 
0.1%
85.734 3
 
0.1%
80.908 3
 
0.1%
82.032 2
 
0.1%
80.27 2
 
0.1%
79.41 2
 
0.1%
82.915 2
 
0.1%
85.338 2
 
0.1%
81.661 2
 
0.1%
Other values (1931) 2038
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
51.146 1
< 0.1%
54.919 1
< 0.1%
54.989 1
< 0.1%
57.532 1
< 0.1%
58.082 1
< 0.1%
58.184 1
< 0.1%
58.513 1
< 0.1%
62.455 1
< 0.1%
64.568 1
< 0.1%
65.387 1
< 0.1%
ValueCountFrequency (%)
115.433 1
< 0.1%
111.985 1
< 0.1%
111.404 1
< 0.1%
107.461 1
< 0.1%
107.323 1
< 0.1%
104.93 1
< 0.1%
104.116 1
< 0.1%
103.953 1
< 0.1%
102.958 1
< 0.1%
102.597 1
< 0.1%

2015-09
Real number (ℝ)

MISSING 

Distinct1953
Distinct (%)94.7%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean83.905019
Minimum51.342
Maximum115.436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:47.373115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.342
5-th percentile73.03625
Q180.21925
median84.1785
Q387.84125
95-th percentile93.6569
Maximum115.436
Range64.094
Interquartile range (IQR)7.622

Descriptive statistics

Standard deviation6.4867695
Coefficient of variation (CV)0.077310864
Kurtosis1.6363983
Mean83.905019
Median Absolute Deviation (MAD)3.8375
Skewness-0.22101623
Sum173012.15
Variance42.078179
MonotonicityNot monotonic
2023-12-13T09:28:47.471564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.184 3
 
0.1%
93.521 3
 
0.1%
89.883 3
 
0.1%
82.86 2
 
0.1%
85.165 2
 
0.1%
84.262 2
 
0.1%
82.133 2
 
0.1%
81.431 2
 
0.1%
76.556 2
 
0.1%
81.964 2
 
0.1%
Other values (1943) 2039
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
51.342 1
< 0.1%
55.135 1
< 0.1%
55.238 1
< 0.1%
57.666 1
< 0.1%
58.284 1
< 0.1%
58.42 1
< 0.1%
58.896 1
< 0.1%
62.87 1
< 0.1%
64.359 1
< 0.1%
65.975 1
< 0.1%
ValueCountFrequency (%)
115.436 1
< 0.1%
112.198 1
< 0.1%
111.414 1
< 0.1%
107.634 1
< 0.1%
107.412 1
< 0.1%
104.93 1
< 0.1%
104.514 1
< 0.1%
103.96 1
< 0.1%
103.663 1
< 0.1%
102.635 1
< 0.1%

2015-10
Real number (ℝ)

MISSING 

Distinct1939
Distinct (%)94.0%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.051821
Minimum51.54
Maximum115.301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:47.571131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.54
5-th percentile73.17765
Q180.36275
median84.3035
Q388.00875
95-th percentile93.72135
Maximum115.301
Range63.761
Interquartile range (IQR)7.646

Descriptive statistics

Standard deviation6.460528
Coefficient of variation (CV)0.07686363
Kurtosis1.6516325
Mean84.051821
Median Absolute Deviation (MAD)3.8125
Skewness-0.2186526
Sum173314.85
Variance41.738423
MonotonicityNot monotonic
2023-12-13T09:28:47.674165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.343 3
 
0.1%
91.614 3
 
0.1%
83.695 3
 
0.1%
82.908 3
 
0.1%
89.327 3
 
0.1%
84.998 2
 
0.1%
87.136 2
 
0.1%
89.842 2
 
0.1%
80.54 2
 
0.1%
86.907 2
 
0.1%
Other values (1929) 2037
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
51.54 1
< 0.1%
55.35 1
< 0.1%
55.519 1
< 0.1%
57.763 1
< 0.1%
58.607 1
< 0.1%
58.659 1
< 0.1%
59.116 1
< 0.1%
63.409 1
< 0.1%
64.294 1
< 0.1%
66.049 1
< 0.1%
ValueCountFrequency (%)
115.301 1
< 0.1%
112.295 1
< 0.1%
111.568 1
< 0.1%
107.71 1
< 0.1%
107.696 1
< 0.1%
104.93 1
< 0.1%
104.536 1
< 0.1%
104.347 1
< 0.1%
103.738 1
< 0.1%
103.313 1
< 0.1%

2015-11
Real number (ℝ)

MISSING 

Distinct1943
Distinct (%)94.2%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.229774
Minimum51.966
Maximum115.332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:47.777296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.966
5-th percentile73.3307
Q180.55525
median84.478
Q388.133
95-th percentile93.88985
Maximum115.332
Range63.366
Interquartile range (IQR)7.57775

Descriptive statistics

Standard deviation6.4348199
Coefficient of variation (CV)0.076396025
Kurtosis1.6624415
Mean84.229774
Median Absolute Deviation (MAD)3.771
Skewness-0.21515962
Sum173681.79
Variance41.406907
MonotonicityNot monotonic
2023-12-13T09:28:47.877632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.878 3
 
0.1%
83.036 3
 
0.1%
84.091 3
 
0.1%
85.287 3
 
0.1%
83.565 3
 
0.1%
89.639 3
 
0.1%
90.769 2
 
0.1%
87.06 2
 
0.1%
82.867 2
 
0.1%
77.08 2
 
0.1%
Other values (1933) 2036
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
51.966 1
< 0.1%
55.519 1
< 0.1%
55.621 1
< 0.1%
58.083 1
< 0.1%
59.117 1
< 0.1%
59.122 1
< 0.1%
59.83 1
< 0.1%
63.422 1
< 0.1%
64.205 1
< 0.1%
66.345 1
< 0.1%
ValueCountFrequency (%)
115.332 1
< 0.1%
112.457 1
< 0.1%
111.665 1
< 0.1%
108.004 1
< 0.1%
107.804 1
< 0.1%
104.93 1
< 0.1%
104.782 1
< 0.1%
104.772 1
< 0.1%
103.71 1
< 0.1%
103.327 1
< 0.1%

2015-12
Real number (ℝ)

MISSING 

Distinct1941
Distinct (%)94.1%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.406312
Minimum52.27
Maximum115.417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:47.982523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.27
5-th percentile73.5098
Q180.759
median84.6445
Q388.25475
95-th percentile93.9907
Maximum115.417
Range63.147
Interquartile range (IQR)7.49575

Descriptive statistics

Standard deviation6.4029555
Coefficient of variation (CV)0.075858729
Kurtosis1.6819369
Mean84.406312
Median Absolute Deviation (MAD)3.7945
Skewness-0.21897707
Sum174045.82
Variance40.99784
MonotonicityNot monotonic
2023-12-13T09:28:48.082235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.375 4
 
0.1%
80.85 3
 
0.1%
84.899 3
 
0.1%
85.472 3
 
0.1%
83.526 3
 
0.1%
84.091 3
 
0.1%
86.557 3
 
0.1%
84.373 3
 
0.1%
87.907 2
 
0.1%
84.853 2
 
0.1%
Other values (1931) 2033
67.5%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.27 1
< 0.1%
55.621 1
< 0.1%
55.835 1
< 0.1%
58.661 1
< 0.1%
59.324 1
< 0.1%
59.41 1
< 0.1%
60.585 1
< 0.1%
63.463 1
< 0.1%
64.173 1
< 0.1%
66.5 1
< 0.1%
ValueCountFrequency (%)
115.417 1
< 0.1%
112.579 1
< 0.1%
111.714 1
< 0.1%
108.162 1
< 0.1%
108.099 1
< 0.1%
105.354 1
< 0.1%
104.93 1
< 0.1%
104.782 1
< 0.1%
103.809 1
< 0.1%
103.37 1
< 0.1%

2016-01
Real number (ℝ)

MISSING 

Distinct1948
Distinct (%)94.5%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.525397
Minimum52.429
Maximum115.524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:48.181884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.429
5-th percentile73.68625
Q180.8885
median84.766
Q388.3995
95-th percentile94.0468
Maximum115.524
Range63.095
Interquartile range (IQR)7.511

Descriptive statistics

Standard deviation6.3910059
Coefficient of variation (CV)0.07561048
Kurtosis1.6932698
Mean84.525397
Median Absolute Deviation (MAD)3.7645
Skewness-0.21784746
Sum174291.37
Variance40.844956
MonotonicityNot monotonic
2023-12-13T09:28:48.284117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.206 3
 
0.1%
81.27 3
 
0.1%
77.761 2
 
0.1%
88.915 2
 
0.1%
87.953 2
 
0.1%
83.446 2
 
0.1%
77.189 2
 
0.1%
84.233 2
 
0.1%
76.777 2
 
0.1%
84.282 2
 
0.1%
Other values (1938) 2040
67.8%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.429 1
< 0.1%
55.821 1
< 0.1%
55.85 1
< 0.1%
58.959 1
< 0.1%
59.426 1
< 0.1%
59.474 1
< 0.1%
60.608 1
< 0.1%
63.753 1
< 0.1%
64.139 1
< 0.1%
66.695 1
< 0.1%
ValueCountFrequency (%)
115.524 1
< 0.1%
112.591 1
< 0.1%
111.769 1
< 0.1%
108.283 1
< 0.1%
108.106 1
< 0.1%
105.623 1
< 0.1%
104.93 1
< 0.1%
104.887 1
< 0.1%
103.856 1
< 0.1%
103.37 1
< 0.1%

2016-02
Real number (ℝ)

MISSING 

Distinct1942
Distinct (%)94.2%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.64236
Minimum52.492
Maximum115.628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:48.397402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.492
5-th percentile73.8213
Q181.0225
median84.94
Q388.49725
95-th percentile94.11355
Maximum115.628
Range63.136
Interquartile range (IQR)7.47475

Descriptive statistics

Standard deviation6.3744609
Coefficient of variation (CV)0.07531053
Kurtosis1.6959739
Mean84.64236
Median Absolute Deviation (MAD)3.74
Skewness-0.21735287
Sum174532.55
Variance40.633752
MonotonicityNot monotonic
2023-12-13T09:28:48.499042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.905 3
 
0.1%
87.391 3
 
0.1%
88.285 3
 
0.1%
80.334 2
 
0.1%
88.54 2
 
0.1%
89.34 2
 
0.1%
85.295 2
 
0.1%
82.186 2
 
0.1%
86.874 2
 
0.1%
81.062 2
 
0.1%
Other values (1932) 2039
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.492 1
< 0.1%
55.976 1
< 0.1%
56.173 1
< 0.1%
59.243 1
< 0.1%
59.426 1
< 0.1%
59.584 1
< 0.1%
60.79 1
< 0.1%
64.116 1
< 0.1%
64.183 1
< 0.1%
66.907 1
< 0.1%
ValueCountFrequency (%)
115.628 1
< 0.1%
112.509 1
< 0.1%
111.879 1
< 0.1%
108.452 1
< 0.1%
108.139 1
< 0.1%
105.792 1
< 0.1%
104.93 1
< 0.1%
104.895 1
< 0.1%
103.807 1
< 0.1%
103.76 1
< 0.1%

2016-03
Real number (ℝ)

MISSING 

Distinct1934
Distinct (%)93.8%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.800748
Minimum52.722
Maximum115.434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:48.600787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.722
5-th percentile73.9928
Q181.17225
median85.126
Q388.64275
95-th percentile94.28485
Maximum115.434
Range62.712
Interquartile range (IQR)7.4705

Descriptive statistics

Standard deviation6.3571258
Coefficient of variation (CV)0.074965446
Kurtosis1.6893052
Mean84.800748
Median Absolute Deviation (MAD)3.7225
Skewness-0.22503337
Sum174859.14
Variance40.413049
MonotonicityNot monotonic
2023-12-13T09:28:48.699955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.706 3
 
0.1%
89.739 3
 
0.1%
85.546 3
 
0.1%
83.164 3
 
0.1%
82.881 3
 
0.1%
85.696 3
 
0.1%
84.415 3
 
0.1%
86.32 3
 
0.1%
90.74 3
 
0.1%
88.393 3
 
0.1%
Other values (1924) 2032
67.5%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.722 1
< 0.1%
56.027 1
< 0.1%
56.317 1
< 0.1%
59.369 1
< 0.1%
59.706 1
< 0.1%
59.79 1
< 0.1%
60.537 1
< 0.1%
64.144 1
< 0.1%
64.43 1
< 0.1%
67.072 1
< 0.1%
ValueCountFrequency (%)
115.434 1
< 0.1%
112.509 1
< 0.1%
111.739 1
< 0.1%
108.418 1
< 0.1%
108.268 1
< 0.1%
106.018 1
< 0.1%
104.93 1
< 0.1%
104.926 1
< 0.1%
104.026 1
< 0.1%
103.76 1
< 0.1%

2016-04
Real number (ℝ)

MISSING 

Distinct1939
Distinct (%)94.0%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean84.94053
Minimum52.962
Maximum114.226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:48.806524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.962
5-th percentile74.1978
Q181.34675
median85.301
Q388.74475
95-th percentile94.3258
Maximum114.226
Range61.264
Interquartile range (IQR)7.398

Descriptive statistics

Standard deviation6.3300529
Coefficient of variation (CV)0.074523351
Kurtosis1.6288573
Mean84.94053
Median Absolute Deviation (MAD)3.736
Skewness-0.23413425
Sum175147.37
Variance40.06957
MonotonicityNot monotonic
2023-12-13T09:28:48.937673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.468 3
 
0.1%
87.121 3
 
0.1%
89.127 3
 
0.1%
85.7 3
 
0.1%
84.465 3
 
0.1%
90.887 3
 
0.1%
79.465 3
 
0.1%
84.562 3
 
0.1%
85.145 2
 
0.1%
83.471 2
 
0.1%
Other values (1929) 2034
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.962 1
< 0.1%
56.067 1
< 0.1%
56.254 1
< 0.1%
59.946 1
< 0.1%
60.23 1
< 0.1%
60.364 1
< 0.1%
60.684 1
< 0.1%
64.304 1
< 0.1%
65.084 1
< 0.1%
67.274 1
< 0.1%
ValueCountFrequency (%)
114.226 1
< 0.1%
112.354 1
< 0.1%
111.494 1
< 0.1%
108.364 1
< 0.1%
108.303 1
< 0.1%
105.475 1
< 0.1%
104.728 1
< 0.1%
103.987 1
< 0.1%
103.953 1
< 0.1%
103.76 2
0.1%

2016-05
Real number (ℝ)

MISSING 

Distinct1931
Distinct (%)93.6%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.07911
Minimum52.948
Maximum112.891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:49.052830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.948
5-th percentile74.3557
Q181.519
median85.492
Q388.8955
95-th percentile94.44045
Maximum112.891
Range59.943
Interquartile range (IQR)7.3765

Descriptive statistics

Standard deviation6.3012511
Coefficient of variation (CV)0.074063435
Kurtosis1.5973203
Mean85.07911
Median Absolute Deviation (MAD)3.7345
Skewness-0.24412137
Sum175433.12
Variance39.705765
MonotonicityNot monotonic
2023-12-13T09:28:49.168114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.363 3
 
0.1%
88.824 3
 
0.1%
80.412 3
 
0.1%
83.818 3
 
0.1%
87.832 3
 
0.1%
85.551 3
 
0.1%
89.786 3
 
0.1%
85.294 3
 
0.1%
90.771 3
 
0.1%
89.747 2
 
0.1%
Other values (1921) 2033
67.5%
(Missing) 948
31.5%
ValueCountFrequency (%)
52.948 1
< 0.1%
56.345 1
< 0.1%
56.495 1
< 0.1%
60.079 1
< 0.1%
60.161 1
< 0.1%
60.685 1
< 0.1%
60.82 1
< 0.1%
64.438 1
< 0.1%
65.404 1
< 0.1%
67.664 1
< 0.1%
ValueCountFrequency (%)
112.891 1
< 0.1%
112.359 1
< 0.1%
111.401 1
< 0.1%
108.251 1
< 0.1%
108.053 1
< 0.1%
105.223 1
< 0.1%
104.331 1
< 0.1%
104.007 1
< 0.1%
103.953 1
< 0.1%
103.811 1
< 0.1%

2016-06
Real number (ℝ)

MISSING 

Distinct1930
Distinct (%)93.6%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.229243
Minimum53.399
Maximum112.589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:49.269377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.399
5-th percentile74.5705
Q181.67875
median85.5785
Q389.0355
95-th percentile94.58035
Maximum112.589
Range59.19
Interquartile range (IQR)7.35675

Descriptive statistics

Standard deviation6.2613104
Coefficient of variation (CV)0.073464343
Kurtosis1.5848134
Mean85.229243
Median Absolute Deviation (MAD)3.7355
Skewness-0.24770546
Sum175742.7
Variance39.204007
MonotonicityNot monotonic
2023-12-13T09:28:49.373184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.844 3
 
0.1%
91.255 3
 
0.1%
85.551 3
 
0.1%
90.46 2
 
0.1%
94.208 2
 
0.1%
87.549 2
 
0.1%
85.104 2
 
0.1%
82.752 2
 
0.1%
84.853 2
 
0.1%
87.827 2
 
0.1%
Other values (1920) 2039
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
53.399 1
< 0.1%
56.435 1
< 0.1%
56.492 1
< 0.1%
60.181 1
< 0.1%
60.534 1
< 0.1%
60.653 1
< 0.1%
61.036 1
< 0.1%
64.51 1
< 0.1%
66.248 1
< 0.1%
67.697 1
< 0.1%
ValueCountFrequency (%)
112.589 1
< 0.1%
112.293 1
< 0.1%
111.188 1
< 0.1%
108.179 1
< 0.1%
107.879 1
< 0.1%
105.073 1
< 0.1%
104.322 1
< 0.1%
103.853 1
< 0.1%
103.811 1
< 0.1%
103.76 1
< 0.1%

2016-07
Real number (ℝ)

MISSING 

Distinct1934
Distinct (%)93.8%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.374049
Minimum53.668
Maximum112.104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:49.474020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.668
5-th percentile74.74845
Q181.8065
median85.7165
Q389.15775
95-th percentile94.74895
Maximum112.104
Range58.436
Interquartile range (IQR)7.35125

Descriptive statistics

Standard deviation6.2266673
Coefficient of variation (CV)0.072933958
Kurtosis1.5701483
Mean85.374049
Median Absolute Deviation (MAD)3.731
Skewness-0.23973585
Sum176041.29
Variance38.771386
MonotonicityNot monotonic
2023-12-13T09:28:49.805724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.903 3
 
0.1%
86.836 3
 
0.1%
91.717 3
 
0.1%
84.752 3
 
0.1%
87.463 3
 
0.1%
83.394 3
 
0.1%
81.61 3
 
0.1%
88.545 3
 
0.1%
90.063 2
 
0.1%
88.44 2
 
0.1%
Other values (1924) 2034
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
53.668 1
< 0.1%
56.528 1
< 0.1%
56.579 1
< 0.1%
60.323 1
< 0.1%
60.957 1
< 0.1%
61.036 1
< 0.1%
61.47 1
< 0.1%
65.505 1
< 0.1%
67.179 1
< 0.1%
67.811 1
< 0.1%
ValueCountFrequency (%)
112.104 1
< 0.1%
112.082 1
< 0.1%
110.911 1
< 0.1%
108.147 1
< 0.1%
107.778 1
< 0.1%
105.0 1
< 0.1%
104.359 1
< 0.1%
104.321 1
< 0.1%
104.07 1
< 0.1%
103.745 1
< 0.1%

2016-08
Real number (ℝ)

MISSING 

Distinct1935
Distinct (%)93.8%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.518717
Minimum53.815
Maximum111.961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:49.901649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.815
5-th percentile75.0167
Q181.95825
median85.866
Q389.28275
95-th percentile94.795
Maximum111.961
Range58.146
Interquartile range (IQR)7.3245

Descriptive statistics

Standard deviation6.1857897
Coefficient of variation (CV)0.072332584
Kurtosis1.5559116
Mean85.518717
Median Absolute Deviation (MAD)3.6705
Skewness-0.2414823
Sum176339.59
Variance38.263995
MonotonicityNot monotonic
2023-12-13T09:28:50.001463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.752 3
 
0.1%
87.028 3
 
0.1%
83.819 3
 
0.1%
84.356 3
 
0.1%
79.557 3
 
0.1%
84.591 2
 
0.1%
85.998 2
 
0.1%
81.401 2
 
0.1%
80.963 2
 
0.1%
82.567 2
 
0.1%
Other values (1925) 2037
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
53.815 1
< 0.1%
56.779 1
< 0.1%
56.953 1
< 0.1%
60.59 1
< 0.1%
60.793 1
< 0.1%
61.858 1
< 0.1%
61.911 1
< 0.1%
66.884 1
< 0.1%
67.67 1
< 0.1%
68.008 1
< 0.1%
ValueCountFrequency (%)
111.961 1
< 0.1%
111.794 1
< 0.1%
110.789 1
< 0.1%
108.248 1
< 0.1%
107.75 1
< 0.1%
104.625 1
< 0.1%
104.359 1
< 0.1%
104.305 1
< 0.1%
104.07 1
< 0.1%
103.741 1
< 0.1%

2016-09
Real number (ℝ)

MISSING 

Distinct1940
Distinct (%)94.1%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.662664
Minimum53.986
Maximum111.956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:50.110972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.986
5-th percentile75.33375
Q182.13575
median85.975
Q389.407
95-th percentile94.84745
Maximum111.956
Range57.97
Interquartile range (IQR)7.27125

Descriptive statistics

Standard deviation6.1521342
Coefficient of variation (CV)0.071818152
Kurtosis1.5566131
Mean85.662664
Median Absolute Deviation (MAD)3.674
Skewness-0.23903101
Sum176636.41
Variance37.848755
MonotonicityNot monotonic
2023-12-13T09:28:50.239167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.142 4
 
0.1%
86.894 3
 
0.1%
84.488 3
 
0.1%
87.032 3
 
0.1%
89.537 3
 
0.1%
88.429 3
 
0.1%
89.09 3
 
0.1%
89.695 2
 
0.1%
85.334 2
 
0.1%
85.565 2
 
0.1%
Other values (1930) 2034
67.6%
(Missing) 948
31.5%
ValueCountFrequency (%)
53.986 1
< 0.1%
57.033 1
< 0.1%
57.229 1
< 0.1%
60.713 1
< 0.1%
61.268 1
< 0.1%
61.878 1
< 0.1%
62.458 1
< 0.1%
67.572 1
< 0.1%
67.932 1
< 0.1%
68.191 1
< 0.1%
ValueCountFrequency (%)
111.956 1
< 0.1%
111.688 1
< 0.1%
110.772 1
< 0.1%
108.19 1
< 0.1%
107.624 1
< 0.1%
104.769 1
< 0.1%
104.734 1
< 0.1%
104.308 1
< 0.1%
103.884 1
< 0.1%
103.741 1
< 0.1%

2016-10
Real number (ℝ)

MISSING 

Distinct1950
Distinct (%)94.6%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.821979
Minimum54.345
Maximum111.764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:50.337799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.345
5-th percentile75.5795
Q182.32125
median86.114
Q389.5345
95-th percentile94.89955
Maximum111.764
Range57.419
Interquartile range (IQR)7.21325

Descriptive statistics

Standard deviation6.113044
Coefficient of variation (CV)0.071229352
Kurtosis1.5510876
Mean85.821979
Median Absolute Deviation (MAD)3.6455
Skewness-0.23654348
Sum176964.92
Variance37.369306
MonotonicityNot monotonic
2023-12-13T09:28:50.437199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.849 3
 
0.1%
84.037 3
 
0.1%
83.89 3
 
0.1%
85.069 3
 
0.1%
84.353 2
 
0.1%
92.433 2
 
0.1%
84.32 2
 
0.1%
87.074 2
 
0.1%
86.53 2
 
0.1%
92.687 2
 
0.1%
Other values (1940) 2038
67.7%
(Missing) 948
31.5%
ValueCountFrequency (%)
54.345 1
< 0.1%
57.095 1
< 0.1%
57.184 1
< 0.1%
61.331 1
< 0.1%
61.956 1
< 0.1%
62.254 1
< 0.1%
62.792 1
< 0.1%
68.248 2
0.1%
68.792 1
< 0.1%
69.12 1
< 0.1%
ValueCountFrequency (%)
111.764 1
< 0.1%
111.588 1
< 0.1%
110.634 1
< 0.1%
108.212 1
< 0.1%
107.511 1
< 0.1%
104.8 1
< 0.1%
104.734 1
< 0.1%
104.136 1
< 0.1%
103.914 1
< 0.1%
103.741 1
< 0.1%

2016-11
Real number (ℝ)

MISSING 

Distinct1929
Distinct (%)93.5%
Missing948
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean85.988091
Minimum54.644
Maximum111.588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:50.537714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.644
5-th percentile75.6975
Q182.4665
median86.2755
Q389.68325
95-th percentile95.05895
Maximum111.588
Range56.944
Interquartile range (IQR)7.21675

Descriptive statistics

Standard deviation6.0866148
Coefficient of variation (CV)0.070784393
Kurtosis1.5328368
Mean85.988091
Median Absolute Deviation (MAD)3.6405
Skewness-0.23640624
Sum177307.44
Variance37.04688
MonotonicityNot monotonic
2023-12-13T09:28:50.637857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.011 3
 
0.1%
88.317 3
 
0.1%
82.502 3
 
0.1%
91.687 3
 
0.1%
84.615 3
 
0.1%
85.537 3
 
0.1%
90.258 3
 
0.1%
85.678 3
 
0.1%
102.449 3
 
0.1%
91.225 2
 
0.1%
Other values (1919) 2033
67.5%
(Missing) 948
31.5%
ValueCountFrequency (%)
54.644 1
< 0.1%
57.2 1
< 0.1%
57.538 1
< 0.1%
61.624 1
< 0.1%
62.283 1
< 0.1%
62.494 1
< 0.1%
63.18 1
< 0.1%
68.32 1
< 0.1%
68.801 1
< 0.1%
69.313 1
< 0.1%
ValueCountFrequency (%)
111.588 1
< 0.1%
111.166 1
< 0.1%
110.536 1
< 0.1%
107.991 1
< 0.1%
107.466 1
< 0.1%
104.8 1
< 0.1%
104.585 1
< 0.1%
104.482 1
< 0.1%
103.914 1
< 0.1%
103.741 1
< 0.1%

2016-12
Real number (ℝ)

MISSING 

Distinct1933
Distinct (%)93.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86.13889
Minimum54.869
Maximum111.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:50.738299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.869
5-th percentile75.876
Q182.63
median86.3905
Q389.83675
95-th percentile95.138
Maximum111.34
Range56.471
Interquartile range (IQR)7.20675

Descriptive statistics

Standard deviation6.0607502
Coefficient of variation (CV)0.070360208
Kurtosis1.498825
Mean86.13889
Median Absolute Deviation (MAD)3.604
Skewness-0.24200238
Sum177962.95
Variance36.732692
MonotonicityNot monotonic
2023-12-13T09:28:50.838202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.919 4
 
0.1%
85.457 3
 
0.1%
89.491 3
 
0.1%
75.014 3
 
0.1%
84.757 3
 
0.1%
80.028 3
 
0.1%
88.722 3
 
0.1%
102.449 3
 
0.1%
79.911 3
 
0.1%
82.313 3
 
0.1%
Other values (1923) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
54.869 1
< 0.1%
57.403 1
< 0.1%
57.967 1
< 0.1%
61.811 1
< 0.1%
62.475 1
< 0.1%
62.98 1
< 0.1%
63.562 1
< 0.1%
68.408 1
< 0.1%
69.209 1
< 0.1%
69.451 1
< 0.1%
ValueCountFrequency (%)
111.34 1
< 0.1%
110.73 1
< 0.1%
110.464 1
< 0.1%
108.019 1
< 0.1%
107.383 1
< 0.1%
104.857 1
< 0.1%
104.802 1
< 0.1%
104.717 1
< 0.1%
104.116 1
< 0.1%
103.741 1
< 0.1%

2017-01
Real number (ℝ)

MISSING 

Distinct1942
Distinct (%)94.0%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86.268463
Minimum55.103
Maximum111.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:50.940086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.103
5-th percentile76.0275
Q182.744
median86.5265
Q389.97575
95-th percentile95.2985
Maximum111.34
Range56.237
Interquartile range (IQR)7.23175

Descriptive statistics

Standard deviation6.0327955
Coefficient of variation (CV)0.069930485
Kurtosis1.4879865
Mean86.268463
Median Absolute Deviation (MAD)3.6
Skewness-0.24806738
Sum178230.64
Variance36.394622
MonotonicityNot monotonic
2023-12-13T09:28:51.043405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.469 3
 
0.1%
90.003 3
 
0.1%
88.695 3
 
0.1%
102.449 3
 
0.1%
87.247 3
 
0.1%
90.331 3
 
0.1%
87.408 3
 
0.1%
88.73 3
 
0.1%
87.255 2
 
0.1%
87.003 2
 
0.1%
Other values (1932) 2038
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
55.103 1
< 0.1%
57.561 1
< 0.1%
58.11 1
< 0.1%
62.108 1
< 0.1%
62.585 1
< 0.1%
63.09 1
< 0.1%
63.989 1
< 0.1%
68.489 1
< 0.1%
69.525 1
< 0.1%
69.593 1
< 0.1%
ValueCountFrequency (%)
111.34 1
< 0.1%
110.728 1
< 0.1%
110.147 1
< 0.1%
107.841 1
< 0.1%
107.245 1
< 0.1%
104.986 1
< 0.1%
104.883 1
< 0.1%
104.679 1
< 0.1%
104.116 1
< 0.1%
103.741 1
< 0.1%

2017-02
Real number (ℝ)

MISSING 

Distinct1939
Distinct (%)93.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86.419459
Minimum55.428
Maximum111.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:51.149418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.428
5-th percentile76.19375
Q182.97975
median86.74
Q390.126
95-th percentile95.35075
Maximum111.34
Range55.912
Interquartile range (IQR)7.14625

Descriptive statistics

Standard deviation5.9968036
Coefficient of variation (CV)0.06939182
Kurtosis1.4891344
Mean86.419459
Median Absolute Deviation (MAD)3.5815
Skewness-0.25470602
Sum178542.6
Variance35.961653
MonotonicityNot monotonic
2023-12-13T09:28:51.252640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.462 4
 
0.1%
89.382 3
 
0.1%
92.701 3
 
0.1%
84.968 3
 
0.1%
87.99 3
 
0.1%
90.137 3
 
0.1%
91.486 3
 
0.1%
90.126 3
 
0.1%
90.303 3
 
0.1%
78.182 3
 
0.1%
Other values (1929) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
55.428 1
< 0.1%
57.682 1
< 0.1%
58.176 1
< 0.1%
62.198 1
< 0.1%
62.955 1
< 0.1%
63.406 1
< 0.1%
64.614 1
< 0.1%
68.684 1
< 0.1%
69.798 1
< 0.1%
69.837 1
< 0.1%
ValueCountFrequency (%)
111.34 1
< 0.1%
110.216 1
< 0.1%
110.177 1
< 0.1%
107.63 1
< 0.1%
107.064 1
< 0.1%
104.986 1
< 0.1%
104.938 1
< 0.1%
104.364 1
< 0.1%
103.741 1
< 0.1%
103.657 1
< 0.1%

2017-03
Real number (ℝ)

MISSING 

Distinct1940
Distinct (%)93.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86.636849
Minimum55.804
Maximum110.995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:51.355397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.804
5-th percentile76.45
Q183.1915
median86.9835
Q390.33075
95-th percentile95.39175
Maximum110.995
Range55.191
Interquartile range (IQR)7.13925

Descriptive statistics

Standard deviation5.9423553
Coefficient of variation (CV)0.068589236
Kurtosis1.4781644
Mean86.636849
Median Absolute Deviation (MAD)3.531
Skewness-0.27567438
Sum178991.73
Variance35.311587
MonotonicityNot monotonic
2023-12-13T09:28:51.457574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.199 3
 
0.1%
102.876 3
 
0.1%
76.4 3
 
0.1%
86.533 3
 
0.1%
84.467 3
 
0.1%
91.913 2
 
0.1%
87.384 2
 
0.1%
89.973 2
 
0.1%
93.297 2
 
0.1%
91.238 2
 
0.1%
Other values (1930) 2041
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
55.804 1
< 0.1%
57.852 1
< 0.1%
58.393 1
< 0.1%
62.624 1
< 0.1%
63.287 1
< 0.1%
63.661 1
< 0.1%
65.206 1
< 0.1%
69.017 1
< 0.1%
70.072 1
< 0.1%
70.175 1
< 0.1%
ValueCountFrequency (%)
110.995 1
< 0.1%
110.098 1
< 0.1%
109.76 1
< 0.1%
107.166 1
< 0.1%
106.828 1
< 0.1%
105.171 1
< 0.1%
105.007 1
< 0.1%
104.076 1
< 0.1%
103.657 1
< 0.1%
103.584 2
0.1%

2017-04
Real number (ℝ)

MISSING 

Distinct1932
Distinct (%)93.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean86.849821
Minimum56.001
Maximum110.744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:51.565480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.001
5-th percentile76.7175
Q183.42125
median87.197
Q390.4945
95-th percentile95.51975
Maximum110.744
Range54.743
Interquartile range (IQR)7.07325

Descriptive statistics

Standard deviation5.8984656
Coefficient of variation (CV)0.067915691
Kurtosis1.4530133
Mean86.849821
Median Absolute Deviation (MAD)3.5415
Skewness-0.28528591
Sum179431.73
Variance34.791897
MonotonicityNot monotonic
2023-12-13T09:28:51.668270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.477 3
 
0.1%
102.876 3
 
0.1%
97.854 3
 
0.1%
87.801 3
 
0.1%
84.646 3
 
0.1%
88.781 2
 
0.1%
92.964 2
 
0.1%
84.731 2
 
0.1%
88.706 2
 
0.1%
87.721 2
 
0.1%
Other values (1922) 2041
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
56.001 1
< 0.1%
58.382 1
< 0.1%
58.707 1
< 0.1%
62.765 1
< 0.1%
63.649 1
< 0.1%
63.911 1
< 0.1%
65.737 1
< 0.1%
69.26 1
< 0.1%
70.325 1
< 0.1%
70.632 1
< 0.1%
ValueCountFrequency (%)
110.744 1
< 0.1%
109.984 1
< 0.1%
109.0 1
< 0.1%
107.113 1
< 0.1%
106.625 1
< 0.1%
105.391 1
< 0.1%
104.992 1
< 0.1%
104.036 1
< 0.1%
103.677 1
< 0.1%
103.629 2
0.1%

2017-05
Real number (ℝ)

MISSING 

Distinct1932
Distinct (%)93.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean87.076282
Minimum56.51
Maximum110.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:51.773113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.51
5-th percentile77.122
Q183.69
median87.405
Q390.72625
95-th percentile95.616
Maximum110.47
Range53.96
Interquartile range (IQR)7.03625

Descriptive statistics

Standard deviation5.8287197
Coefficient of variation (CV)0.066938087
Kurtosis1.4447081
Mean87.076282
Median Absolute Deviation (MAD)3.538
Skewness-0.2892828
Sum179899.6
Variance33.973973
MonotonicityNot monotonic
2023-12-13T09:28:51.880004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.014 3
 
0.1%
89.322 3
 
0.1%
87.949 3
 
0.1%
85.276 3
 
0.1%
86.995 3
 
0.1%
85.676 3
 
0.1%
86.156 3
 
0.1%
87.522 3
 
0.1%
102.876 3
 
0.1%
86.946 2
 
0.1%
Other values (1922) 2037
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
56.51 1
< 0.1%
59.113 1
< 0.1%
59.286 1
< 0.1%
63.095 1
< 0.1%
64.044 1
< 0.1%
64.394 1
< 0.1%
66.51 1
< 0.1%
69.442 1
< 0.1%
70.646 1
< 0.1%
70.996 1
< 0.1%
ValueCountFrequency (%)
110.47 1
< 0.1%
109.912 1
< 0.1%
108.659 1
< 0.1%
107.13 1
< 0.1%
106.481 1
< 0.1%
105.57 1
< 0.1%
104.985 1
< 0.1%
103.96 1
< 0.1%
103.672 1
< 0.1%
103.627 2
0.1%

2017-06
Real number (ℝ)

MISSING 

Distinct1932
Distinct (%)93.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean87.320543
Minimum56.912
Maximum110.182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:51.987401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.912
5-th percentile77.51025
Q183.9685
median87.6585
Q390.9195
95-th percentile95.862
Maximum110.182
Range53.27
Interquartile range (IQR)6.951

Descriptive statistics

Standard deviation5.7641025
Coefficient of variation (CV)0.066010842
Kurtosis1.4387913
Mean87.320543
Median Absolute Deviation (MAD)3.522
Skewness-0.29997486
Sum180404.24
Variance33.224878
MonotonicityNot monotonic
2023-12-13T09:28:52.094993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.156 3
 
0.1%
102.876 3
 
0.1%
90.509 3
 
0.1%
89.871 3
 
0.1%
91.447 3
 
0.1%
86.526 2
 
0.1%
93.032 2
 
0.1%
87.811 2
 
0.1%
89.595 2
 
0.1%
86.308 2
 
0.1%
Other values (1922) 2041
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
56.912 1
< 0.1%
59.545 1
< 0.1%
59.546 1
< 0.1%
63.473 1
< 0.1%
64.624 1
< 0.1%
65.029 1
< 0.1%
67.166 1
< 0.1%
69.764 1
< 0.1%
70.955 1
< 0.1%
71.022 1
< 0.1%
ValueCountFrequency (%)
110.182 1
< 0.1%
109.453 1
< 0.1%
108.1 1
< 0.1%
106.784 1
< 0.1%
106.426 1
< 0.1%
105.685 1
< 0.1%
104.434 1
< 0.1%
103.975 1
< 0.1%
103.755 1
< 0.1%
103.352 2
0.1%

2017-07
Real number (ℝ)

MISSING 

Distinct1938
Distinct (%)93.8%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean87.565117
Minimum57.46
Maximum110.013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:52.228024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.46
5-th percentile77.87325
Q184.15825
median87.8965
Q391.11775
95-th percentile96.0135
Maximum110.013
Range52.553
Interquartile range (IQR)6.9595

Descriptive statistics

Standard deviation5.6908867
Coefficient of variation (CV)0.06499034
Kurtosis1.4286049
Mean87.565117
Median Absolute Deviation (MAD)3.485
Skewness-0.30228982
Sum180909.53
Variance32.386192
MonotonicityNot monotonic
2023-12-13T09:28:52.376128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.189 3
 
0.1%
102.876 3
 
0.1%
88.119 3
 
0.1%
87.892 3
 
0.1%
89.524 3
 
0.1%
84.941 3
 
0.1%
83.131 3
 
0.1%
89.583 2
 
0.1%
88.269 2
 
0.1%
88.521 2
 
0.1%
Other values (1928) 2039
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
57.46 1
< 0.1%
60.007 1
< 0.1%
60.288 1
< 0.1%
64.163 1
< 0.1%
65.179 1
< 0.1%
65.261 1
< 0.1%
67.849 1
< 0.1%
70.254 1
< 0.1%
71.268 1
< 0.1%
71.377 1
< 0.1%
ValueCountFrequency (%)
110.013 1
< 0.1%
109.332 1
< 0.1%
107.675 1
< 0.1%
106.684 1
< 0.1%
106.451 1
< 0.1%
105.352 1
< 0.1%
104.434 1
< 0.1%
103.975 1
< 0.1%
103.561 1
< 0.1%
103.491 2
0.1%

2017-08
Real number (ℝ)

MISSING 

Distinct1945
Distinct (%)94.1%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean87.791849
Minimum58.132
Maximum109.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:52.480867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.132
5-th percentile78.229
Q184.55275
median88.138
Q391.3165
95-th percentile96.127
Maximum109.97
Range51.838
Interquartile range (IQR)6.76375

Descriptive statistics

Standard deviation5.6257839
Coefficient of variation (CV)0.064080937
Kurtosis1.4291615
Mean87.791849
Median Absolute Deviation (MAD)3.46
Skewness-0.30746665
Sum181377.96
Variance31.649445
MonotonicityNot monotonic
2023-12-13T09:28:52.589285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.201 3
 
0.1%
102.876 3
 
0.1%
84.777 3
 
0.1%
89.918 3
 
0.1%
88.355 2
 
0.1%
84.223 2
 
0.1%
94.334 2
 
0.1%
85.122 2
 
0.1%
87.485 2
 
0.1%
83.529 2
 
0.1%
Other values (1935) 2042
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
58.132 1
< 0.1%
60.365 1
< 0.1%
60.536 1
< 0.1%
64.809 1
< 0.1%
65.532 1
< 0.1%
65.786 1
< 0.1%
68.511 1
< 0.1%
70.912 1
< 0.1%
71.408 1
< 0.1%
71.532 1
< 0.1%
ValueCountFrequency (%)
109.97 1
< 0.1%
109.205 1
< 0.1%
107.232 1
< 0.1%
106.833 1
< 0.1%
106.273 1
< 0.1%
104.968 1
< 0.1%
104.475 1
< 0.1%
103.975 1
< 0.1%
103.8 1
< 0.1%
103.663 2
0.1%

2017-09
Real number (ℝ)

MISSING 

Distinct1923
Distinct (%)93.1%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean88.012608
Minimum58.826
Maximum109.866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:52.941849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.826
5-th percentile78.4915
Q184.74175
median88.401
Q391.57225
95-th percentile96.24075
Maximum109.866
Range51.04
Interquartile range (IQR)6.8305

Descriptive statistics

Standard deviation5.5655385
Coefficient of variation (CV)0.063235696
Kurtosis1.3995118
Mean88.012608
Median Absolute Deviation (MAD)3.435
Skewness-0.32177223
Sum181834.05
Variance30.975219
MonotonicityNot monotonic
2023-12-13T09:28:53.068319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.349 3
 
0.1%
89.231 3
 
0.1%
85.159 3
 
0.1%
102.974 3
 
0.1%
82.804 2
 
0.1%
90.705 2
 
0.1%
89.364 2
 
0.1%
88.658 2
 
0.1%
83.862 2
 
0.1%
89.012 2
 
0.1%
Other values (1913) 2042
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
58.826 1
< 0.1%
60.72 1
< 0.1%
60.799 1
< 0.1%
65.445 1
< 0.1%
65.878 1
< 0.1%
66.475 1
< 0.1%
69.202 1
< 0.1%
71.442 1
< 0.1%
71.505 1
< 0.1%
71.734 1
< 0.1%
ValueCountFrequency (%)
109.866 1
< 0.1%
109.07 1
< 0.1%
106.787 1
< 0.1%
106.547 1
< 0.1%
106.206 1
< 0.1%
104.476 1
< 0.1%
103.983 1
< 0.1%
103.892 1
< 0.1%
103.671 2
0.1%
103.584 1
< 0.1%

2017-10
Real number (ℝ)

MISSING 

Distinct1908
Distinct (%)92.4%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean88.209202
Minimum59.264
Maximum109.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:53.173705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.264
5-th percentile78.77625
Q184.92325
median88.602
Q391.7435
95-th percentile96.28325
Maximum109.934
Range50.67
Interquartile range (IQR)6.82025

Descriptive statistics

Standard deviation5.5149704
Coefficient of variation (CV)0.062521487
Kurtosis1.4149031
Mean88.209202
Median Absolute Deviation (MAD)3.417
Skewness-0.33506172
Sum182240.21
Variance30.414899
MonotonicityNot monotonic
2023-12-13T09:28:53.313131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.137 3
 
0.1%
91.069 3
 
0.1%
93.363 3
 
0.1%
88.86 3
 
0.1%
102.974 3
 
0.1%
93.342 2
 
0.1%
85.006 2
 
0.1%
93.737 2
 
0.1%
86.676 2
 
0.1%
84.423 2
 
0.1%
Other values (1898) 2041
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
59.264 1
< 0.1%
60.799 1
< 0.1%
61.1 1
< 0.1%
65.768 1
< 0.1%
66.103 1
< 0.1%
66.78 1
< 0.1%
69.829 1
< 0.1%
71.815 1
< 0.1%
71.819 1
< 0.1%
71.98 1
< 0.1%
ValueCountFrequency (%)
109.934 1
< 0.1%
109.08 1
< 0.1%
106.789 1
< 0.1%
106.198 1
< 0.1%
106.179 1
< 0.1%
104.483 1
< 0.1%
104.02 1
< 0.1%
103.697 2
0.1%
103.566 1
< 0.1%
103.484 1
< 0.1%

2017-11
Real number (ℝ)

MISSING 

Distinct1930
Distinct (%)93.4%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean88.423847
Minimum59.868
Maximum109.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:53.420060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.868
5-th percentile79.10825
Q185.147
median88.869
Q391.92925
95-th percentile96.4505
Maximum109.934
Range50.066
Interquartile range (IQR)6.78225

Descriptive statistics

Standard deviation5.4629656
Coefficient of variation (CV)0.061781586
Kurtosis1.4068012
Mean88.423847
Median Absolute Deviation (MAD)3.362
Skewness-0.34434082
Sum182683.67
Variance29.843993
MonotonicityNot monotonic
2023-12-13T09:28:53.523477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.628 3
 
0.1%
102.974 3
 
0.1%
89.829 3
 
0.1%
85.006 3
 
0.1%
89.003 3
 
0.1%
84.18 3
 
0.1%
91.968 3
 
0.1%
89.054 3
 
0.1%
81.525 2
 
0.1%
85.526 2
 
0.1%
Other values (1920) 2038
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
59.868 1
< 0.1%
61.07 1
< 0.1%
61.451 1
< 0.1%
66.472 1
< 0.1%
66.562 1
< 0.1%
66.908 1
< 0.1%
70.353 1
< 0.1%
71.898 1
< 0.1%
71.919 1
< 0.1%
72.42 1
< 0.1%
ValueCountFrequency (%)
109.934 1
< 0.1%
109.058 1
< 0.1%
106.381 1
< 0.1%
106.214 1
< 0.1%
106.08 1
< 0.1%
104.414 1
< 0.1%
104.02 1
< 0.1%
103.769 2
0.1%
103.566 1
< 0.1%
103.455 1
< 0.1%

2017-12
Real number (ℝ)

MISSING 

Distinct1936
Distinct (%)93.7%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean88.638808
Minimum60.548
Maximum109.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:53.626918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.548
5-th percentile79.372
Q185.407
median89.087
Q392.11225
95-th percentile96.57725
Maximum109.934
Range49.386
Interquartile range (IQR)6.70525

Descriptive statistics

Standard deviation5.4158256
Coefficient of variation (CV)0.061099936
Kurtosis1.389486
Mean88.638808
Median Absolute Deviation (MAD)3.344
Skewness-0.3507047
Sum183127.78
Variance29.331166
MonotonicityNot monotonic
2023-12-13T09:28:53.729919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.895 3
 
0.1%
91.396 3
 
0.1%
103.094 3
 
0.1%
91.302 3
 
0.1%
84.327 3
 
0.1%
91.361 3
 
0.1%
93.301 2
 
0.1%
89.82 2
 
0.1%
86.663 2
 
0.1%
80.693 2
 
0.1%
Other values (1926) 2040
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
60.548 1
< 0.1%
61.548 1
< 0.1%
61.774 1
< 0.1%
67.05 1
< 0.1%
67.104 1
< 0.1%
67.283 1
< 0.1%
70.873 1
< 0.1%
71.973 1
< 0.1%
72.129 1
< 0.1%
72.79 1
< 0.1%
ValueCountFrequency (%)
109.934 1
< 0.1%
109.17 1
< 0.1%
106.28 1
< 0.1%
106.156 1
< 0.1%
105.987 1
< 0.1%
104.414 1
< 0.1%
103.844 2
0.1%
103.835 1
< 0.1%
103.643 1
< 0.1%
103.416 1
< 0.1%

2018-01
Real number (ℝ)

MISSING 

Distinct1926
Distinct (%)93.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean88.837312
Minimum60.815
Maximum109.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:53.849182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.815
5-th percentile79.662
Q185.59975
median89.2755
Q392.2575
95-th percentile96.712
Maximum109.934
Range49.119
Interquartile range (IQR)6.65775

Descriptive statistics

Standard deviation5.3648173
Coefficient of variation (CV)0.060389235
Kurtosis1.3942373
Mean88.837312
Median Absolute Deviation (MAD)3.3155
Skewness-0.35611565
Sum183537.89
Variance28.781265
MonotonicityNot monotonic
2023-12-13T09:28:53.986836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.91 3
 
0.1%
86.29 3
 
0.1%
91.004 3
 
0.1%
85.174 3
 
0.1%
80.987 3
 
0.1%
94.694 3
 
0.1%
90.499 3
 
0.1%
103.094 3
 
0.1%
95.005 3
 
0.1%
86.344 3
 
0.1%
Other values (1916) 2036
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
60.815 1
< 0.1%
61.999 1
< 0.1%
62.106 1
< 0.1%
67.268 1
< 0.1%
67.597 1
< 0.1%
67.645 1
< 0.1%
71.394 1
< 0.1%
71.971 1
< 0.1%
72.375 1
< 0.1%
73.338 1
< 0.1%
ValueCountFrequency (%)
109.934 1
< 0.1%
109.273 1
< 0.1%
106.284 1
< 0.1%
105.793 1
< 0.1%
105.761 1
< 0.1%
104.413 1
< 0.1%
103.92 2
0.1%
103.835 1
< 0.1%
103.718 1
< 0.1%
103.33 1
< 0.1%

2018-02
Real number (ℝ)

MISSING 

Distinct1914
Distinct (%)92.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean89.020449
Minimum61.138
Maximum109.934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:54.095076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.138
5-th percentile79.99175
Q185.80575
median89.4665
Q392.44175
95-th percentile96.9035
Maximum109.934
Range48.796
Interquartile range (IQR)6.636

Descriptive statistics

Standard deviation5.3092527
Coefficient of variation (CV)0.059640821
Kurtosis1.4170257
Mean89.020449
Median Absolute Deviation (MAD)3.3165
Skewness-0.36417637
Sum183916.25
Variance28.188164
MonotonicityNot monotonic
2023-12-13T09:28:54.200555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.164 4
 
0.1%
87.931 3
 
0.1%
103.019 3
 
0.1%
90.372 3
 
0.1%
84.962 3
 
0.1%
92.203 3
 
0.1%
86.132 3
 
0.1%
92.783 2
 
0.1%
87.258 2
 
0.1%
90.432 2
 
0.1%
Other values (1904) 2038
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
61.138 1
< 0.1%
62.384 1
< 0.1%
62.418 1
< 0.1%
67.541 1
< 0.1%
67.747 1
< 0.1%
67.941 1
< 0.1%
71.972 1
< 0.1%
72.118 1
< 0.1%
72.412 1
< 0.1%
73.609 1
< 0.1%
ValueCountFrequency (%)
109.934 1
< 0.1%
109.241 1
< 0.1%
106.41 1
< 0.1%
105.515 1
< 0.1%
105.334 1
< 0.1%
104.321 1
< 0.1%
103.959 1
< 0.1%
103.913 2
0.1%
103.622 1
< 0.1%
103.119 1
< 0.1%

2018-03
Real number (ℝ)

MISSING 

Distinct1921
Distinct (%)93.0%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean89.247061
Minimum61.661
Maximum109.826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:54.314067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.661
5-th percentile80.38075
Q186.0605
median89.7
Q392.59975
95-th percentile96.9625
Maximum109.826
Range48.165
Interquartile range (IQR)6.53925

Descriptive statistics

Standard deviation5.2447687
Coefficient of variation (CV)0.058766851
Kurtosis1.4252841
Mean89.247061
Median Absolute Deviation (MAD)3.2315
Skewness-0.38219073
Sum184384.43
Variance27.507599
MonotonicityNot monotonic
2023-12-13T09:28:54.417663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.149 3
 
0.1%
91.85 3
 
0.1%
90.394 3
 
0.1%
91.772 3
 
0.1%
96.186 3
 
0.1%
103.019 3
 
0.1%
96.929 2
 
0.1%
96.023 2
 
0.1%
89.814 2
 
0.1%
89.45 2
 
0.1%
Other values (1911) 2040
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
61.661 1
< 0.1%
62.769 1
< 0.1%
62.812 1
< 0.1%
67.944 1
< 0.1%
68.153 1
< 0.1%
68.208 1
< 0.1%
72.264 1
< 0.1%
72.574 1
< 0.1%
72.617 1
< 0.1%
73.877 1
< 0.1%
ValueCountFrequency (%)
109.826 1
< 0.1%
108.963 1
< 0.1%
106.333 1
< 0.1%
105.284 1
< 0.1%
104.296 1
< 0.1%
103.959 1
< 0.1%
103.942 1
< 0.1%
103.894 2
0.1%
103.622 1
< 0.1%
103.112 1
< 0.1%

2018-04
Real number (ℝ)

MISSING 

Distinct1922
Distinct (%)93.0%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean89.478191
Minimum62.156
Maximum109.826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:54.522005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.156
5-th percentile80.67075
Q186.30625
median89.934
Q392.76925
95-th percentile97.0545
Maximum109.826
Range47.67
Interquartile range (IQR)6.463

Descriptive statistics

Standard deviation5.166971
Coefficient of variation (CV)0.05774559
Kurtosis1.4307868
Mean89.478191
Median Absolute Deviation (MAD)3.1725
Skewness-0.38656151
Sum184861.94
Variance26.697589
MonotonicityNot monotonic
2023-12-13T09:28:54.636415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.566 4
 
0.1%
93.78 4
 
0.1%
86.894 3
 
0.1%
90.334 3
 
0.1%
90.031 3
 
0.1%
92.419 3
 
0.1%
103.064 3
 
0.1%
94.633 3
 
0.1%
93.367 3
 
0.1%
89.397 3
 
0.1%
Other values (1912) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
62.156 1
< 0.1%
63.064 1
< 0.1%
63.132 1
< 0.1%
68.23 1
< 0.1%
68.691 1
< 0.1%
68.819 1
< 0.1%
72.675 1
< 0.1%
73.197 1
< 0.1%
74.192 1
< 0.1%
74.452 1
< 0.1%
ValueCountFrequency (%)
109.826 1
< 0.1%
108.707 1
< 0.1%
106.208 1
< 0.1%
105.086 1
< 0.1%
104.296 1
< 0.1%
103.959 1
< 0.1%
103.894 2
0.1%
103.622 1
< 0.1%
103.382 1
< 0.1%
103.089 1
< 0.1%

2018-05
Real number (ℝ)

MISSING 

Distinct1939
Distinct (%)93.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean89.722829
Minimum62.651
Maximum109.785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:54.738887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.651
5-th percentile81.07075
Q186.6295
median90.1425
Q392.99625
95-th percentile97.178
Maximum109.785
Range47.134
Interquartile range (IQR)6.36675

Descriptive statistics

Standard deviation5.0944017
Coefficient of variation (CV)0.056779325
Kurtosis1.4365425
Mean89.722829
Median Absolute Deviation (MAD)3.1605
Skewness-0.40089552
Sum185367.37
Variance25.952929
MonotonicityNot monotonic
2023-12-13T09:28:54.843414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.608 3
 
0.1%
93.953 3
 
0.1%
90.318 3
 
0.1%
103.094 3
 
0.1%
89.803 2
 
0.1%
89.736 2
 
0.1%
91.518 2
 
0.1%
86.825 2
 
0.1%
90.962 2
 
0.1%
89.436 2
 
0.1%
Other values (1929) 2042
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
62.651 1
< 0.1%
63.528 1
< 0.1%
63.661 1
< 0.1%
68.644 1
< 0.1%
69.231 1
< 0.1%
69.477 1
< 0.1%
72.725 1
< 0.1%
73.735 1
< 0.1%
74.507 1
< 0.1%
74.638 1
< 0.1%
ValueCountFrequency (%)
109.785 1
 
< 0.1%
108.38 1
 
< 0.1%
106.022 1
 
< 0.1%
104.857 1
 
< 0.1%
104.296 1
 
< 0.1%
103.959 1
 
< 0.1%
103.894 2
0.1%
103.622 1
 
< 0.1%
103.094 3
0.1%
102.75 1
 
< 0.1%

2018-06
Real number (ℝ)

MISSING 

Distinct1924
Distinct (%)93.1%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean89.964097
Minimum63.333
Maximum109.736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:54.942889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63.333
5-th percentile81.48925
Q186.879
median90.405
Q393.16775
95-th percentile97.32225
Maximum109.736
Range46.403
Interquartile range (IQR)6.28875

Descriptive statistics

Standard deviation5.0132354
Coefficient of variation (CV)0.055724846
Kurtosis1.4520069
Mean89.964097
Median Absolute Deviation (MAD)3.069
Skewness-0.41640416
Sum185865.82
Variance25.132529
MonotonicityNot monotonic
2023-12-13T09:28:55.042224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.243 3
 
0.1%
97.329 3
 
0.1%
89.775 3
 
0.1%
90.99 3
 
0.1%
95.473 3
 
0.1%
93.269 3
 
0.1%
88.708 3
 
0.1%
90.425 3
 
0.1%
96.167 3
 
0.1%
88.431 2
 
0.1%
Other values (1914) 2037
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
63.333 1
< 0.1%
64.034 1
< 0.1%
64.263 1
< 0.1%
69.026 1
< 0.1%
69.898 1
< 0.1%
69.925 1
< 0.1%
72.808 1
< 0.1%
74.376 1
< 0.1%
74.742 1
< 0.1%
74.846 1
< 0.1%
ValueCountFrequency (%)
109.736 1
 
< 0.1%
108.213 1
 
< 0.1%
105.891 1
 
< 0.1%
104.584 1
 
< 0.1%
104.198 1
 
< 0.1%
103.959 1
 
< 0.1%
103.822 2
0.1%
103.622 1
 
< 0.1%
103.243 3
0.1%
102.541 1
 
< 0.1%

2018-07
Real number (ℝ)

MISSING 

Distinct1913
Distinct (%)92.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean90.1966
Minimum64.121
Maximum109.634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:55.151569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.121
5-th percentile81.8415
Q187.12125
median90.605
Q393.35
95-th percentile97.50525
Maximum109.634
Range45.513
Interquartile range (IQR)6.22875

Descriptive statistics

Standard deviation4.9386869
Coefficient of variation (CV)0.05475469
Kurtosis1.4294784
Mean90.1966
Median Absolute Deviation (MAD)3.0285
Skewness-0.41518802
Sum186346.17
Variance24.390628
MonotonicityNot monotonic
2023-12-13T09:28:55.249080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.356 3
 
0.1%
89.317 3
 
0.1%
91.626 3
 
0.1%
86.118 3
 
0.1%
89.954 3
 
0.1%
92.16 3
 
0.1%
90.634 2
 
0.1%
92.01 2
 
0.1%
89.275 2
 
0.1%
90.635 2
 
0.1%
Other values (1903) 2040
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
64.121 1
< 0.1%
64.76 1
< 0.1%
64.875 1
< 0.1%
69.506 1
< 0.1%
70.486 1
< 0.1%
70.597 1
< 0.1%
73.146 1
< 0.1%
75.085 1
< 0.1%
75.092 1
< 0.1%
75.103 1
< 0.1%
ValueCountFrequency (%)
109.634 1
 
< 0.1%
108.046 1
 
< 0.1%
105.774 1
 
< 0.1%
104.357 1
 
< 0.1%
104.217 1
 
< 0.1%
104.076 1
 
< 0.1%
103.938 2
0.1%
103.622 1
 
< 0.1%
103.356 3
0.1%
102.872 1
 
< 0.1%

2018-08
Real number (ℝ)

MISSING 

Distinct1926
Distinct (%)93.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean90.429323
Minimum64.652
Maximum109.103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:55.357493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64.652
5-th percentile82.22275
Q187.466
median90.8225
Q393.534
95-th percentile97.6
Maximum109.103
Range44.451
Interquartile range (IQR)6.068

Descriptive statistics

Standard deviation4.8567839
Coefficient of variation (CV)0.053708064
Kurtosis1.4509474
Mean90.429323
Median Absolute Deviation (MAD)2.9675
Skewness-0.42008997
Sum186826.98
Variance23.58835
MonotonicityNot monotonic
2023-12-13T09:28:55.486930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.539 3
 
0.1%
97.6 3
 
0.1%
103.978 3
 
0.1%
90.847 3
 
0.1%
94.802 3
 
0.1%
94.369 3
 
0.1%
87.466 3
 
0.1%
88.219 3
 
0.1%
91.186 2
 
0.1%
90.981 2
 
0.1%
Other values (1916) 2038
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
64.652 1
< 0.1%
65.107 1
< 0.1%
65.554 1
< 0.1%
69.815 1
< 0.1%
70.993 1
< 0.1%
71.053 1
< 0.1%
74.109 1
< 0.1%
75.491 1
< 0.1%
75.541 1
< 0.1%
75.651 1
< 0.1%
ValueCountFrequency (%)
109.103 1
 
< 0.1%
107.784 1
 
< 0.1%
105.511 1
 
< 0.1%
105.295 1
 
< 0.1%
104.275 1
 
< 0.1%
104.22 2
0.1%
103.978 3
0.1%
103.855 1
 
< 0.1%
103.617 1
 
< 0.1%
103.207 1
 
< 0.1%

2018-09
Real number (ℝ)

MISSING 

Distinct1926
Distinct (%)93.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean90.640167
Minimum65.264
Maximum108.789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:55.596177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.264
5-th percentile82.5455
Q187.7345
median90.994
Q393.69525
95-th percentile97.73975
Maximum108.789
Range43.525
Interquartile range (IQR)5.96075

Descriptive statistics

Standard deviation4.7704668
Coefficient of variation (CV)0.052630826
Kurtosis1.4751877
Mean90.640167
Median Absolute Deviation (MAD)2.9315
Skewness-0.4209446
Sum187262.58
Variance22.757354
MonotonicityNot monotonic
2023-12-13T09:28:55.722822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.005 4
 
0.1%
92.534 3
 
0.1%
91.251 3
 
0.1%
103.978 3
 
0.1%
92.51 3
 
0.1%
88.4 3
 
0.1%
94.433 2
 
0.1%
90.382 2
 
0.1%
93.792 2
 
0.1%
93.052 2
 
0.1%
Other values (1916) 2039
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
65.264 1
< 0.1%
65.603 1
< 0.1%
66.367 1
< 0.1%
70.022 1
< 0.1%
71.202 1
< 0.1%
71.423 1
< 0.1%
74.613 1
< 0.1%
75.807 1
< 0.1%
75.936 1
< 0.1%
76.289 1
< 0.1%
ValueCountFrequency (%)
108.789 1
 
< 0.1%
107.504 1
 
< 0.1%
105.444 1
 
< 0.1%
105.039 1
 
< 0.1%
104.467 1
 
< 0.1%
104.4 2
0.1%
104.086 1
 
< 0.1%
103.978 3
0.1%
103.185 1
 
< 0.1%
103.109 1
 
< 0.1%

2018-10
Real number (ℝ)

MISSING 

Distinct1933
Distinct (%)93.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean90.888939
Minimum65.912
Maximum107.293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:56.061970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.912
5-th percentile83.016
Q188.03575
median91.227
Q393.88075
95-th percentile97.911
Maximum107.293
Range41.381
Interquartile range (IQR)5.845

Descriptive statistics

Standard deviation4.6727428
Coefficient of variation (CV)0.051411567
Kurtosis1.4701968
Mean90.888939
Median Absolute Deviation (MAD)2.88
Skewness-0.43840811
Sum187776.55
Variance21.834525
MonotonicityNot monotonic
2023-12-13T09:28:56.174475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.129 3
 
0.1%
91.175 3
 
0.1%
91.464 3
 
0.1%
89.977 3
 
0.1%
94.169 3
 
0.1%
103.978 3
 
0.1%
93.931 2
 
0.1%
89.733 2
 
0.1%
89.468 2
 
0.1%
92.474 2
 
0.1%
Other values (1923) 2040
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
65.912 1
< 0.1%
66.09 1
< 0.1%
67.093 1
< 0.1%
70.712 1
< 0.1%
71.926 1
< 0.1%
72.267 1
< 0.1%
74.748 1
< 0.1%
76.247 1
< 0.1%
76.285 1
< 0.1%
76.945 1
< 0.1%
ValueCountFrequency (%)
107.293 1
 
< 0.1%
106.545 1
 
< 0.1%
105.444 1
 
< 0.1%
104.398 1
 
< 0.1%
104.35 2
0.1%
104.344 1
 
< 0.1%
104.202 1
 
< 0.1%
103.978 3
0.1%
103.185 1
 
< 0.1%
102.927 2
0.1%

2018-11
Real number (ℝ)

MISSING 

Distinct1907
Distinct (%)92.3%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean91.111165
Minimum66.496
Maximum105.545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:56.275061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.496
5-th percentile83.475
Q188.35625
median91.4565
Q394.023
95-th percentile97.97
Maximum105.545
Range39.049
Interquartile range (IQR)5.66675

Descriptive statistics

Standard deviation4.5626549
Coefficient of variation (CV)0.05007789
Kurtosis1.5324352
Mean91.111165
Median Absolute Deviation (MAD)2.826
Skewness-0.4723349
Sum188235.67
Variance20.81782
MonotonicityNot monotonic
2023-12-13T09:28:56.387889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.754 5
 
0.2%
93.937 4
 
0.1%
89.75 3
 
0.1%
93.002 3
 
0.1%
85.861 3
 
0.1%
99.457 3
 
0.1%
94.842 3
 
0.1%
93.048 3
 
0.1%
103.978 3
 
0.1%
94.248 2
 
0.1%
Other values (1897) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
66.496 1
< 0.1%
66.565 1
< 0.1%
67.293 1
< 0.1%
71.086 1
< 0.1%
72.476 1
< 0.1%
72.634 1
< 0.1%
75.313 1
< 0.1%
76.706 1
< 0.1%
76.919 1
< 0.1%
77.602 1
< 0.1%
ValueCountFrequency (%)
105.545 1
 
< 0.1%
105.525 1
 
< 0.1%
105.338 1
 
< 0.1%
104.414 1
 
< 0.1%
104.398 1
 
< 0.1%
104.376 2
0.1%
103.978 3
0.1%
103.505 1
 
< 0.1%
103.037 2
0.1%
102.565 1
 
< 0.1%

2018-12
Real number (ℝ)

MISSING 

Distinct1895
Distinct (%)91.7%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean91.31882
Minimum66.813
Maximum105.545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:56.500842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.813
5-th percentile83.77575
Q188.575
median91.628
Q394.19525
95-th percentile97.9815
Maximum105.545
Range38.732
Interquartile range (IQR)5.62025

Descriptive statistics

Standard deviation4.4793181
Coefficient of variation (CV)0.049051424
Kurtosis1.5740222
Mean91.31882
Median Absolute Deviation (MAD)2.757
Skewness-0.49664867
Sum188664.68
Variance20.064291
MonotonicityNot monotonic
2023-12-13T09:28:56.609236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.225 4
 
0.1%
92.222 3
 
0.1%
103.978 3
 
0.1%
93.912 3
 
0.1%
91.771 3
 
0.1%
97.532 3
 
0.1%
90.564 3
 
0.1%
90.326 3
 
0.1%
86.741 3
 
0.1%
88.573 3
 
0.1%
Other values (1885) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
66.813 1
< 0.1%
67.198 1
< 0.1%
67.814 1
< 0.1%
71.442 1
< 0.1%
72.89 1
< 0.1%
73.055 1
< 0.1%
75.613 1
< 0.1%
77.007 1
< 0.1%
77.499 1
< 0.1%
78.185 1
< 0.1%
ValueCountFrequency (%)
105.545 1
 
< 0.1%
104.763 1
 
< 0.1%
104.47 1
 
< 0.1%
104.398 1
 
< 0.1%
104.376 2
0.1%
104.071 1
 
< 0.1%
103.978 3
0.1%
103.091 2
0.1%
103.058 1
 
< 0.1%
102.454 1
 
< 0.1%

2019-01
Real number (ℝ)

MISSING 

Distinct1910
Distinct (%)92.4%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean91.516485
Minimum66.976
Maximum105.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:56.718590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66.976
5-th percentile84.082
Q188.9105
median91.8755
Q394.36875
95-th percentile98.04075
Maximum105.67
Range38.694
Interquartile range (IQR)5.45825

Descriptive statistics

Standard deviation4.4036498
Coefficient of variation (CV)0.048118651
Kurtosis1.6430719
Mean91.516485
Median Absolute Deviation (MAD)2.6945
Skewness-0.51483812
Sum189073.06
Variance19.392132
MonotonicityNot monotonic
2023-12-13T09:28:56.824228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.031 4
 
0.1%
94.112 3
 
0.1%
88.474 3
 
0.1%
103.978 3
 
0.1%
92.539 3
 
0.1%
93.049 3
 
0.1%
90.254 3
 
0.1%
88.759 3
 
0.1%
97.668 3
 
0.1%
94.261 3
 
0.1%
Other values (1900) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
66.976 1
< 0.1%
67.612 1
< 0.1%
68.507 1
< 0.1%
71.852 1
< 0.1%
73.367 1
< 0.1%
73.512 1
< 0.1%
75.847 1
< 0.1%
77.26 1
< 0.1%
77.947 1
< 0.1%
78.344 1
< 0.1%
ValueCountFrequency (%)
105.67 1
 
< 0.1%
104.587 1
 
< 0.1%
104.45 1
 
< 0.1%
104.446 2
0.1%
104.173 1
 
< 0.1%
103.993 1
 
< 0.1%
103.978 3
0.1%
103.257 2
0.1%
102.474 1
 
< 0.1%
102.388 1
 
< 0.1%

2019-02
Real number (ℝ)

MISSING 

Distinct1884
Distinct (%)91.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean91.694349
Minimum67.828
Maximum105.645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:56.932311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67.828
5-th percentile84.336
Q189.10775
median92.048
Q394.474
95-th percentile98.103
Maximum105.645
Range37.817
Interquartile range (IQR)5.36625

Descriptive statistics

Standard deviation4.3234802
Coefficient of variation (CV)0.047151
Kurtosis1.6692542
Mean91.694349
Median Absolute Deviation (MAD)2.6595
Skewness-0.51641126
Sum189440.53
Variance18.692481
MonotonicityNot monotonic
2023-12-13T09:28:57.041804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.537 4
 
0.1%
92.16 3
 
0.1%
93.431 3
 
0.1%
92.188 3
 
0.1%
92.891 3
 
0.1%
89.481 3
 
0.1%
90.776 3
 
0.1%
94.962 3
 
0.1%
85.405 3
 
0.1%
91.919 3
 
0.1%
Other values (1874) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
67.828 1
< 0.1%
67.983 1
< 0.1%
69.117 1
< 0.1%
72.248 1
< 0.1%
73.513 1
< 0.1%
74.496 1
< 0.1%
76.131 1
< 0.1%
77.974 1
< 0.1%
78.178 1
< 0.1%
78.573 1
< 0.1%
ValueCountFrequency (%)
105.645 1
 
< 0.1%
104.674 3
0.1%
104.632 1
 
< 0.1%
104.443 1
 
< 0.1%
104.435 2
0.1%
103.592 1
 
< 0.1%
103.466 1
 
< 0.1%
103.273 2
0.1%
102.634 1
 
< 0.1%
102.505 1
 
< 0.1%

2019-03
Real number (ℝ)

MISSING 

Distinct1899
Distinct (%)91.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean91.897165
Minimum68.397
Maximum105.768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:57.164819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.397
5-th percentile84.76975
Q189.345
median92.259
Q394.6305
95-th percentile98.09475
Maximum105.768
Range37.371
Interquartile range (IQR)5.2855

Descriptive statistics

Standard deviation4.237987
Coefficient of variation (CV)0.046116624
Kurtosis1.7583666
Mean91.897165
Median Absolute Deviation (MAD)2.611
Skewness-0.54428604
Sum189859.54
Variance17.960534
MonotonicityNot monotonic
2023-12-13T09:28:57.273942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.982 4
 
0.1%
92.307 3
 
0.1%
89.642 3
 
0.1%
90.421 3
 
0.1%
93.423 3
 
0.1%
104.674 3
 
0.1%
96.808 3
 
0.1%
91.733 2
 
0.1%
89.123 2
 
0.1%
92.867 2
 
0.1%
Other values (1889) 2038
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
68.397 1
< 0.1%
68.477 1
< 0.1%
69.384 1
< 0.1%
72.385 1
< 0.1%
73.91 1
< 0.1%
74.622 1
< 0.1%
76.324 1
< 0.1%
78.574 1
< 0.1%
78.695 1
< 0.1%
78.857 1
< 0.1%
ValueCountFrequency (%)
105.768 1
 
< 0.1%
104.674 3
0.1%
104.665 1
 
< 0.1%
104.356 2
0.1%
104.296 1
 
< 0.1%
103.275 2
0.1%
103.18 1
 
< 0.1%
102.842 1
 
< 0.1%
102.674 1
 
< 0.1%
102.465 1
 
< 0.1%

2019-04
Real number (ℝ)

MISSING 

Distinct1902
Distinct (%)92.1%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.10184
Minimum68.674
Maximum105.768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:57.381591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.674
5-th percentile85.0155
Q189.64575
median92.445
Q394.776
95-th percentile98.103
Maximum105.768
Range37.094
Interquartile range (IQR)5.13025

Descriptive statistics

Standard deviation4.1531784
Coefficient of variation (CV)0.045093327
Kurtosis1.8547503
Mean92.10184
Median Absolute Deviation (MAD)2.5585
Skewness-0.57263458
Sum190282.4
Variance17.248891
MonotonicityNot monotonic
2023-12-13T09:28:57.493979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.674 3
 
0.1%
92.176 3
 
0.1%
92.847 3
 
0.1%
98.1 3
 
0.1%
86.768 2
 
0.1%
90.354 2
 
0.1%
94.302 2
 
0.1%
91.513 2
 
0.1%
92.766 2
 
0.1%
83.787 2
 
0.1%
Other values (1892) 2042
67.8%
(Missing) 944
31.4%
ValueCountFrequency (%)
68.674 1
< 0.1%
68.837 1
< 0.1%
69.927 1
< 0.1%
72.696 1
< 0.1%
74.332 1
< 0.1%
74.943 1
< 0.1%
76.577 1
< 0.1%
79.114 1
< 0.1%
79.224 1
< 0.1%
79.242 1
< 0.1%
ValueCountFrequency (%)
105.768 1
 
< 0.1%
104.674 3
0.1%
104.641 1
 
< 0.1%
104.248 2
0.1%
104.149 1
 
< 0.1%
103.267 2
0.1%
102.721 1
 
< 0.1%
102.692 1
 
< 0.1%
102.515 1
 
< 0.1%
102.464 1
 
< 0.1%

2019-05
Real number (ℝ)

MISSING 

Distinct1891
Distinct (%)91.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.303123
Minimum69.426
Maximum105.699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:57.601445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.426
5-th percentile85.397
Q189.89825
median92.6595
Q394.9325
95-th percentile98.1455
Maximum105.699
Range36.273
Interquartile range (IQR)5.03425

Descriptive statistics

Standard deviation4.0586112
Coefficient of variation (CV)0.043970464
Kurtosis1.9146473
Mean92.303123
Median Absolute Deviation (MAD)2.4965
Skewness-0.6055118
Sum190698.25
Variance16.472325
MonotonicityNot monotonic
2023-12-13T09:28:57.721410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.392 3
 
0.1%
93.475 3
 
0.1%
88.415 3
 
0.1%
89.78 3
 
0.1%
90.457 3
 
0.1%
92.517 3
 
0.1%
104.48 3
 
0.1%
93.228 2
 
0.1%
93.643 2
 
0.1%
92.802 2
 
0.1%
Other values (1881) 2039
67.7%
(Missing) 944
31.4%
ValueCountFrequency (%)
69.426 1
< 0.1%
69.539 1
< 0.1%
70.214 1
< 0.1%
72.951 1
< 0.1%
74.969 1
< 0.1%
75.086 1
< 0.1%
76.631 1
< 0.1%
79.508 1
< 0.1%
79.678 1
< 0.1%
79.793 1
< 0.1%
ValueCountFrequency (%)
105.699 1
 
< 0.1%
104.482 1
 
< 0.1%
104.48 3
0.1%
104.175 2
0.1%
104.074 1
 
< 0.1%
103.137 2
0.1%
102.611 1
 
< 0.1%
102.398 1
 
< 0.1%
102.347 1
 
< 0.1%
102.136 1
 
< 0.1%

2019-06
Real number (ℝ)

MISSING 

Distinct1901
Distinct (%)92.0%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.490005
Minimum69.993
Maximum105.699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:57.831354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.993
5-th percentile85.7295
Q190.16425
median92.858
Q395.08025
95-th percentile98.189
Maximum105.699
Range35.706
Interquartile range (IQR)4.916

Descriptive statistics

Standard deviation3.9657345
Coefficient of variation (CV)0.042877439
Kurtosis1.9566045
Mean92.490005
Median Absolute Deviation (MAD)2.4255
Skewness-0.62450197
Sum191084.35
Variance15.72705
MonotonicityNot monotonic
2023-12-13T09:28:57.942592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.783 3
 
0.1%
90.202 3
 
0.1%
92.96 3
 
0.1%
94.653 3
 
0.1%
95.319 3
 
0.1%
93.446 3
 
0.1%
104.113 3
 
0.1%
93.944 3
 
0.1%
95.092 3
 
0.1%
89.65 3
 
0.1%
Other values (1891) 2036
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
69.993 1
< 0.1%
70.122 1
< 0.1%
70.801 1
< 0.1%
73.375 1
< 0.1%
75.633 1
< 0.1%
75.833 1
< 0.1%
76.668 1
< 0.1%
79.932 1
< 0.1%
80.011 1
< 0.1%
80.173 1
< 0.1%
ValueCountFrequency (%)
105.699 1
 
< 0.1%
104.332 1
 
< 0.1%
104.132 2
0.1%
104.113 3
0.1%
104.017 1
 
< 0.1%
102.979 2
0.1%
102.533 1
 
< 0.1%
102.429 1
 
< 0.1%
102.187 1
 
< 0.1%
102.18 1
 
< 0.1%

2019-07
Real number (ℝ)

MISSING 

Distinct1901
Distinct (%)92.0%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.674923
Minimum70.448
Maximum105.658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:58.053121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.448
5-th percentile86.10425
Q190.418
median93.0145
Q395.23775
95-th percentile98.22825
Maximum105.658
Range35.21
Interquartile range (IQR)4.81975

Descriptive statistics

Standard deviation3.865478
Coefficient of variation (CV)0.041710075
Kurtosis2.0763477
Mean92.674923
Median Absolute Deviation (MAD)2.3635
Skewness-0.65568465
Sum191466.39
Variance14.94192
MonotonicityNot monotonic
2023-12-13T09:28:58.163501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.283 3
 
0.1%
92.421 3
 
0.1%
94.911 3
 
0.1%
103.971 3
 
0.1%
95.691 3
 
0.1%
95.677 3
 
0.1%
92.521 3
 
0.1%
92.01 3
 
0.1%
90.653 3
 
0.1%
92.537 3
 
0.1%
Other values (1891) 2036
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
70.448 1
< 0.1%
70.562 1
< 0.1%
71.0 1
< 0.1%
73.968 1
< 0.1%
76.156 1
< 0.1%
76.378 1
< 0.1%
77.128 1
< 0.1%
80.052 1
< 0.1%
80.433 1
< 0.1%
80.556 1
< 0.1%
ValueCountFrequency (%)
105.658 1
 
< 0.1%
104.182 1
 
< 0.1%
103.971 3
0.1%
103.933 2
0.1%
103.761 1
 
< 0.1%
102.851 2
0.1%
102.358 1
 
< 0.1%
102.343 1
 
< 0.1%
102.099 1
 
< 0.1%
102.068 1
 
< 0.1%

2019-08
Real number (ℝ)

MISSING 

Distinct1893
Distinct (%)91.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.839946
Minimum70.787
Maximum105.361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:58.273804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.787
5-th percentile86.457
Q190.63025
median93.1645
Q395.32675
95-th percentile98.251
Maximum105.361
Range34.574
Interquartile range (IQR)4.6965

Descriptive statistics

Standard deviation3.7591485
Coefficient of variation (CV)0.040490636
Kurtosis2.1874735
Mean92.839946
Median Absolute Deviation (MAD)2.298
Skewness-0.69081258
Sum191807.33
Variance14.131197
MonotonicityNot monotonic
2023-12-13T09:28:58.395609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.244 4
 
0.1%
93.989 4
 
0.1%
94.348 3
 
0.1%
94.732 3
 
0.1%
103.776 3
 
0.1%
92.048 3
 
0.1%
92.675 3
 
0.1%
89.231 3
 
0.1%
93.661 3
 
0.1%
96.908 3
 
0.1%
Other values (1883) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
70.787 1
< 0.1%
70.897 1
< 0.1%
71.809 1
< 0.1%
74.561 1
< 0.1%
76.619 1
< 0.1%
76.699 1
< 0.1%
77.489 1
< 0.1%
80.569 1
< 0.1%
80.831 1
< 0.1%
80.911 1
< 0.1%
ValueCountFrequency (%)
105.361 1
 
< 0.1%
104.059 1
 
< 0.1%
103.776 3
0.1%
103.595 2
0.1%
103.409 1
 
< 0.1%
102.602 2
0.1%
102.208 1
 
< 0.1%
102.164 1
 
< 0.1%
102.099 1
 
< 0.1%
101.764 1
 
< 0.1%

2019-09
Real number (ℝ)

MISSING 

Distinct1872
Distinct (%)90.6%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean92.991234
Minimum71.212
Maximum104.922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:58.500953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.212
5-th percentile86.88925
Q190.85425
median93.2855
Q395.4225
95-th percentile98.1845
Maximum104.922
Range33.71
Interquartile range (IQR)4.56825

Descriptive statistics

Standard deviation3.6436007
Coefficient of variation (CV)0.039182195
Kurtosis2.265787
Mean92.991234
Median Absolute Deviation (MAD)2.2555
Skewness-0.72998151
Sum192119.89
Variance13.275826
MonotonicityNot monotonic
2023-12-13T09:28:58.607674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.137 4
 
0.1%
94.524 4
 
0.1%
93.702 3
 
0.1%
98.094 3
 
0.1%
96.793 3
 
0.1%
94.469 3
 
0.1%
93.194 3
 
0.1%
92.848 3
 
0.1%
92.741 3
 
0.1%
92.276 3
 
0.1%
Other values (1862) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
71.212 1
< 0.1%
71.71 1
< 0.1%
72.274 1
< 0.1%
75.622 1
< 0.1%
76.97 1
< 0.1%
77.236 1
< 0.1%
77.577 1
< 0.1%
81.205 1
< 0.1%
81.237 1
< 0.1%
81.243 1
< 0.1%
ValueCountFrequency (%)
104.922 1
 
< 0.1%
103.543 3
0.1%
103.464 1
 
< 0.1%
102.969 2
0.1%
102.715 1
 
< 0.1%
102.138 1
 
< 0.1%
102.102 2
0.1%
102.099 1
 
< 0.1%
101.56 1
 
< 0.1%
101.306 1
 
< 0.1%

2019-10
Real number (ℝ)

MISSING 

Distinct1886
Distinct (%)91.3%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.155273
Minimum71.622
Maximum104.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:58.716712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.622
5-th percentile87.25275
Q191.09125
median93.462
Q395.52775
95-th percentile98.204
Maximum104.38
Range32.758
Interquartile range (IQR)4.4365

Descriptive statistics

Standard deviation3.5268677
Coefficient of variation (CV)0.037860098
Kurtosis2.3728367
Mean93.155273
Median Absolute Deviation (MAD)2.189
Skewness-0.77507794
Sum192458.79
Variance12.438796
MonotonicityNot monotonic
2023-12-13T09:28:59.072361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.123 4
 
0.1%
94.154 3
 
0.1%
94.011 3
 
0.1%
96.882 3
 
0.1%
91.098 3
 
0.1%
89.464 3
 
0.1%
98.952 3
 
0.1%
91.34 3
 
0.1%
103.281 3
 
0.1%
97.024 3
 
0.1%
Other values (1876) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
71.622 1
< 0.1%
72.155 1
< 0.1%
73.333 1
< 0.1%
76.064 1
< 0.1%
77.385 1
< 0.1%
77.652 1
< 0.1%
77.903 1
< 0.1%
81.472 1
< 0.1%
81.684 1
< 0.1%
81.696 1
< 0.1%
ValueCountFrequency (%)
104.38 1
 
< 0.1%
103.281 3
0.1%
103.093 1
 
< 0.1%
102.657 2
0.1%
102.482 1
 
< 0.1%
101.72 1
 
< 0.1%
101.648 2
0.1%
101.584 1
 
< 0.1%
101.098 1
 
< 0.1%
100.816 1
 
< 0.1%

2019-11
Real number (ℝ)

MISSING 

Distinct1844
Distinct (%)89.3%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.321913
Minimum71.969
Maximum103.674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:59.177598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.969
5-th percentile87.614
Q191.30625
median93.6195
Q395.6395
95-th percentile98.18225
Maximum103.674
Range31.705
Interquartile range (IQR)4.33325

Descriptive statistics

Standard deviation3.4075614
Coefficient of variation (CV)0.036514054
Kurtosis2.5004451
Mean93.321913
Median Absolute Deviation (MAD)2.1355
Skewness-0.8246081
Sum192803.07
Variance11.611475
MonotonicityNot monotonic
2023-12-13T09:28:59.288691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.315 4
 
0.1%
102.838 3
 
0.1%
96.907 3
 
0.1%
88.503 3
 
0.1%
95.453 3
 
0.1%
97.904 3
 
0.1%
93.588 3
 
0.1%
92.679 3
 
0.1%
95.838 3
 
0.1%
90.597 3
 
0.1%
Other values (1834) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
71.969 1
< 0.1%
72.748 1
< 0.1%
74.338 1
< 0.1%
76.425 1
< 0.1%
77.844 1
< 0.1%
78.088 1
< 0.1%
78.226 1
< 0.1%
81.472 1
< 0.1%
82.027 1
< 0.1%
82.128 1
< 0.1%
ValueCountFrequency (%)
103.674 1
 
< 0.1%
102.838 3
0.1%
102.445 1
 
< 0.1%
102.191 2
0.1%
102.097 1
 
< 0.1%
101.602 1
 
< 0.1%
101.14 2
0.1%
101.096 1
 
< 0.1%
100.735 1
 
< 0.1%
100.546 1
 
< 0.1%

2019-12
Real number (ℝ)

MISSING 

Distinct1850
Distinct (%)89.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.491669
Minimum72.309
Maximum103.303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:59.416173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.309
5-th percentile87.959
Q191.54275
median93.7955
Q395.723
95-th percentile98.13725
Maximum103.303
Range30.994
Interquartile range (IQR)4.18025

Descriptive statistics

Standard deviation3.2924064
Coefficient of variation (CV)0.03521604
Kurtosis2.7254851
Mean93.491669
Median Absolute Deviation (MAD)2.056
Skewness-0.88082118
Sum193153.79
Variance10.83994
MonotonicityNot monotonic
2023-12-13T09:28:59.530363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.286 4
 
0.1%
96.155 3
 
0.1%
93.663 3
 
0.1%
92.711 3
 
0.1%
94.491 3
 
0.1%
92.549 3
 
0.1%
94.059 3
 
0.1%
95.453 3
 
0.1%
91.643 3
 
0.1%
102.015 3
 
0.1%
Other values (1840) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
72.309 1
< 0.1%
73.09 1
< 0.1%
75.112 1
< 0.1%
76.894 1
< 0.1%
78.087 1
< 0.1%
78.112 1
< 0.1%
78.684 1
< 0.1%
82.146 1
< 0.1%
82.36 1
< 0.1%
82.412 1
< 0.1%
ValueCountFrequency (%)
103.303 1
 
< 0.1%
102.107 1
 
< 0.1%
102.015 3
0.1%
101.754 2
0.1%
101.636 1
 
< 0.1%
101.536 1
 
< 0.1%
100.983 1
 
< 0.1%
100.77 2
0.1%
100.607 1
 
< 0.1%
100.262 1
 
< 0.1%

2020-01
Real number (ℝ)

MISSING 

Distinct1864
Distinct (%)90.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.657533
Minimum72.728
Maximum103.103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:59.638796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.728
5-th percentile88.2775
Q191.775
median93.94
Q395.83125
95-th percentile98.152
Maximum103.103
Range30.375
Interquartile range (IQR)4.05625

Descriptive statistics

Standard deviation3.1897258
Coefficient of variation (CV)0.034057333
Kurtosis2.8868033
Mean93.657533
Median Absolute Deviation (MAD)2.0115
Skewness-0.91595844
Sum193496.46
Variance10.174351
MonotonicityNot monotonic
2023-12-13T09:28:59.769642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.51 3
 
0.1%
94.284 3
 
0.1%
93.434 3
 
0.1%
94.03 3
 
0.1%
93.94 3
 
0.1%
93.036 3
 
0.1%
101.595 3
 
0.1%
97.768 3
 
0.1%
92.259 3
 
0.1%
93.068 3
 
0.1%
Other values (1854) 2036
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
72.728 1
< 0.1%
73.673 1
< 0.1%
76.01 1
< 0.1%
77.207 1
< 0.1%
78.212 1
< 0.1%
78.702 1
< 0.1%
78.833 1
< 0.1%
82.36 1
< 0.1%
82.466 1
< 0.1%
82.736 1
< 0.1%
ValueCountFrequency (%)
103.103 1
 
< 0.1%
101.855 1
 
< 0.1%
101.595 3
0.1%
101.488 1
 
< 0.1%
101.404 2
0.1%
101.232 1
 
< 0.1%
100.907 1
 
< 0.1%
100.607 1
 
< 0.1%
100.486 2
0.1%
100.127 1
 
< 0.1%

2020-02
Real number (ℝ)

MISSING 

Distinct1837
Distinct (%)88.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.82339
Minimum73.162
Maximum102.982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:28:59.898985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.162
5-th percentile88.64125
Q192.02375
median94.112
Q395.924
95-th percentile98.173
Maximum102.982
Range29.82
Interquartile range (IQR)3.90025

Descriptive statistics

Standard deviation3.0860441
Coefficient of variation (CV)0.032892055
Kurtosis3.050638
Mean93.82339
Median Absolute Deviation (MAD)1.9445
Skewness-0.95286488
Sum193839.12
Variance9.523668
MonotonicityNot monotonic
2023-12-13T09:28:59.996872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.856 4
 
0.1%
97.298 4
 
0.1%
94.854 3
 
0.1%
92.819 3
 
0.1%
96.063 3
 
0.1%
94.644 3
 
0.1%
93.051 3
 
0.1%
97.157 3
 
0.1%
94.159 3
 
0.1%
97.03 3
 
0.1%
Other values (1827) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
73.162 1
< 0.1%
74.135 1
< 0.1%
76.984 1
< 0.1%
77.637 1
< 0.1%
78.653 1
< 0.1%
79.126 1
< 0.1%
79.255 1
< 0.1%
82.815 1
< 0.1%
83.07 1
< 0.1%
83.321 1
< 0.1%
ValueCountFrequency (%)
102.982 1
 
< 0.1%
101.643 1
 
< 0.1%
101.339 1
 
< 0.1%
101.127 2
0.1%
101.003 3
0.1%
100.899 1
 
< 0.1%
100.813 1
 
< 0.1%
100.568 1
 
< 0.1%
100.179 2
0.1%
100.128 1
 
< 0.1%

2020-03
Real number (ℝ)

MISSING 

Distinct1843
Distinct (%)89.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean93.96166
Minimum73.615
Maximum102.561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:00.127779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.615
5-th percentile88.918
Q192.20825
median94.253
Q396.031
95-th percentile98.16425
Maximum102.561
Range28.946
Interquartile range (IQR)3.82275

Descriptive statistics

Standard deviation2.9962099
Coefficient of variation (CV)0.031887579
Kurtosis3.3143302
Mean93.96166
Median Absolute Deviation (MAD)1.8815
Skewness-1.0053928
Sum194124.79
Variance8.9772735
MonotonicityNot monotonic
2023-12-13T09:29:00.230792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.98 4
 
0.1%
100.718 3
 
0.1%
94.583 3
 
0.1%
95.857 3
 
0.1%
94.978 3
 
0.1%
94.547 3
 
0.1%
92.537 3
 
0.1%
96.098 3
 
0.1%
93.59 3
 
0.1%
95.564 3
 
0.1%
Other values (1833) 2035
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
73.615 1
< 0.1%
74.328 1
< 0.1%
77.45 1
< 0.1%
78.089 1
< 0.1%
78.817 1
< 0.1%
79.462 1
< 0.1%
79.469 1
< 0.1%
83.013 1
< 0.1%
83.321 1
< 0.1%
83.449 1
< 0.1%
ValueCountFrequency (%)
102.561 1
 
< 0.1%
101.355 1
 
< 0.1%
101.208 1
 
< 0.1%
100.748 2
0.1%
100.718 3
0.1%
100.641 1
 
< 0.1%
100.551 1
 
< 0.1%
100.534 1
 
< 0.1%
100.162 1
 
< 0.1%
100.014 1
 
< 0.1%

2020-04
Real number (ℝ)

MISSING 

Distinct1828
Distinct (%)88.5%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean94.084943
Minimum73.954
Maximum102.394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:00.339547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73.954
5-th percentile89.1885
Q192.41075
median94.3835
Q396.113
95-th percentile98.125
Maximum102.394
Range28.44
Interquartile range (IQR)3.70225

Descriptive statistics

Standard deviation2.9139227
Coefficient of variation (CV)0.030971191
Kurtosis3.5844278
Mean94.084943
Median Absolute Deviation (MAD)1.8235
Skewness-1.059778
Sum194379.49
Variance8.4909458
MonotonicityNot monotonic
2023-12-13T09:29:00.443576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.883 4
 
0.1%
94.495 4
 
0.1%
94.293 4
 
0.1%
100.306 3
 
0.1%
94.285 3
 
0.1%
96.718 3
 
0.1%
96.485 3
 
0.1%
94.13 3
 
0.1%
91.007 3
 
0.1%
92.535 3
 
0.1%
Other values (1818) 2033
67.5%
(Missing) 944
31.4%
ValueCountFrequency (%)
73.954 1
< 0.1%
74.678 1
< 0.1%
77.838 1
< 0.1%
78.39 1
< 0.1%
78.964 1
< 0.1%
79.74 1
< 0.1%
79.769 1
< 0.1%
83.251 1
< 0.1%
83.698 1
< 0.1%
83.749 1
< 0.1%
ValueCountFrequency (%)
102.394 1
 
< 0.1%
101.102 1
 
< 0.1%
101.052 1
 
< 0.1%
100.462 2
0.1%
100.364 1
 
< 0.1%
100.306 3
0.1%
100.253 1
 
< 0.1%
100.206 1
 
< 0.1%
100.139 1
 
< 0.1%
99.985 1
 
< 0.1%

2020-05
Real number (ℝ)

MISSING 

Distinct1846
Distinct (%)89.4%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean94.22319
Minimum74.201
Maximum102.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:00.547214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.201
5-th percentile89.465
Q192.589
median94.51
Q396.18975
95-th percentile98.20825
Maximum102.08
Range27.879
Interquartile range (IQR)3.60075

Descriptive statistics

Standard deviation2.836879
Coefficient of variation (CV)0.030108076
Kurtosis3.8859104
Mean94.22319
Median Absolute Deviation (MAD)1.7635
Skewness-1.1079505
Sum194665.11
Variance8.0478822
MonotonicityNot monotonic
2023-12-13T09:29:00.663857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.325 4
 
0.1%
97.518 4
 
0.1%
92.258 3
 
0.1%
95.463 3
 
0.1%
93.073 3
 
0.1%
96.377 3
 
0.1%
94.136 3
 
0.1%
95.675 3
 
0.1%
92.698 3
 
0.1%
94.568 3
 
0.1%
Other values (1836) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
74.201 1
< 0.1%
74.985 1
< 0.1%
78.169 1
< 0.1%
78.636 1
< 0.1%
79.272 1
< 0.1%
80.008 1
< 0.1%
80.169 1
< 0.1%
83.51 1
< 0.1%
83.848 1
< 0.1%
84.0 1
< 0.1%
ValueCountFrequency (%)
102.08 1
 
< 0.1%
101.125 1
 
< 0.1%
100.877 1
 
< 0.1%
100.263 1
 
< 0.1%
100.248 2
0.1%
100.025 1
 
< 0.1%
99.997 1
 
< 0.1%
99.959 1
 
< 0.1%
99.958 1
 
< 0.1%
99.917 3
0.1%

2020-06
Real number (ℝ)

MISSING 

Distinct1816
Distinct (%)87.9%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean94.37977
Minimum74.455
Maximum101.965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:00.760859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.455
5-th percentile89.7865
Q192.80675
median94.661
Q396.2815
95-th percentile98.2035
Maximum101.965
Range27.51
Interquartile range (IQR)3.47475

Descriptive statistics

Standard deviation2.756968
Coefficient of variation (CV)0.02921143
Kurtosis4.3272863
Mean94.37977
Median Absolute Deviation (MAD)1.704
Skewness-1.1795738
Sum194988.61
Variance7.6008726
MonotonicityNot monotonic
2023-12-13T09:29:00.870688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.574 4
 
0.1%
95.387 4
 
0.1%
95.966 4
 
0.1%
96.216 4
 
0.1%
99.774 3
 
0.1%
95.769 3
 
0.1%
95.323 3
 
0.1%
95.031 3
 
0.1%
94.231 3
 
0.1%
94.303 3
 
0.1%
Other values (1806) 2032
67.5%
(Missing) 944
31.4%
ValueCountFrequency (%)
74.455 1
< 0.1%
75.266 1
< 0.1%
78.592 1
< 0.1%
78.788 1
< 0.1%
79.332 1
< 0.1%
80.311 1
< 0.1%
80.318 1
< 0.1%
83.905 1
< 0.1%
83.953 1
< 0.1%
84.265 1
< 0.1%
ValueCountFrequency (%)
101.965 1
 
< 0.1%
100.713 1
 
< 0.1%
100.345 1
 
< 0.1%
100.263 1
 
< 0.1%
100.133 2
0.1%
99.97 1
 
< 0.1%
99.921 1
 
< 0.1%
99.913 1
 
< 0.1%
99.91 1
 
< 0.1%
99.774 3
0.1%

2020-07
Real number (ℝ)

MISSING 

Distinct1823
Distinct (%)88.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean94.551525
Minimum74.955
Maximum101.842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:00.980196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.955
5-th percentile90.16625
Q193.068
median94.8345
Q396.391
95-th percentile98.20825
Maximum101.842
Range26.887
Interquartile range (IQR)3.323

Descriptive statistics

Standard deviation2.6592339
Coefficient of variation (CV)0.028124707
Kurtosis4.6829847
Mean94.551525
Median Absolute Deviation (MAD)1.634
Skewness-1.2188509
Sum195343.45
Variance7.0715252
MonotonicityNot monotonic
2023-12-13T09:29:01.104719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.537 4
 
0.1%
94.542 4
 
0.1%
94.097 4
 
0.1%
95.691 3
 
0.1%
96.504 3
 
0.1%
95.192 3
 
0.1%
94.915 3
 
0.1%
96.907 3
 
0.1%
98.798 3
 
0.1%
94.667 3
 
0.1%
Other values (1813) 2033
67.5%
(Missing) 944
31.4%
ValueCountFrequency (%)
74.955 1
< 0.1%
75.579 1
< 0.1%
79.006 1
< 0.1%
79.104 1
< 0.1%
79.515 1
< 0.1%
80.637 1
< 0.1%
81.393 1
< 0.1%
84.103 1
< 0.1%
84.676 1
< 0.1%
84.927 1
< 0.1%
ValueCountFrequency (%)
101.842 1
 
< 0.1%
100.631 1
 
< 0.1%
100.263 1
 
< 0.1%
100.04 2
0.1%
99.97 1
 
< 0.1%
99.913 1
 
< 0.1%
99.902 1
 
< 0.1%
99.827 1
 
< 0.1%
99.774 3
0.1%
99.702 1
 
< 0.1%

2020-08
Real number (ℝ)

MISSING 

Distinct1802
Distinct (%)87.2%
Missing944
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean94.713344
Minimum76.198
Maximum101.541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:01.211148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.198
5-th percentile90.45075
Q193.2885
median94.9915
Q396.475
95-th percentile98.25325
Maximum101.541
Range25.343
Interquartile range (IQR)3.1865

Descriptive statistics

Standard deviation2.5589194
Coefficient of variation (CV)0.027017517
Kurtosis4.5561827
Mean94.713344
Median Absolute Deviation (MAD)1.569
Skewness-1.2106683
Sum195677.77
Variance6.5480685
MonotonicityNot monotonic
2023-12-13T09:29:01.333446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.28 4
 
0.1%
96.067 4
 
0.1%
94.297 3
 
0.1%
91.984 3
 
0.1%
94.276 3
 
0.1%
94.774 3
 
0.1%
96.662 3
 
0.1%
94.997 3
 
0.1%
97.118 3
 
0.1%
96.13 3
 
0.1%
Other values (1792) 2034
67.6%
(Missing) 944
31.4%
ValueCountFrequency (%)
76.198 1
< 0.1%
76.615 1
< 0.1%
79.646 1
< 0.1%
79.783 1
< 0.1%
79.965 1
< 0.1%
81.865 1
< 0.1%
82.24 1
< 0.1%
84.232 1
< 0.1%
85.071 1
< 0.1%
85.345 1
< 0.1%
ValueCountFrequency (%)
101.541 1
 
< 0.1%
100.338 1
 
< 0.1%
100.165 1
 
< 0.1%
99.969 1
 
< 0.1%
99.922 2
0.1%
99.892 1
 
< 0.1%
99.773 1
 
< 0.1%
99.744 1
 
< 0.1%
99.664 1
 
< 0.1%
99.467 3
0.1%

2020-09
Real number (ℝ)

MISSING 

Distinct1785
Distinct (%)86.2%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean94.896344
Minimum77.871
Maximum101.369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:01.440188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.871
5-th percentile90.7715
Q193.5095
median95.168
Q396.6085
95-th percentile98.3165
Maximum101.369
Range23.498
Interquartile range (IQR)3.099

Descriptive statistics

Standard deviation2.4691164
Coefficient of variation (CV)0.026019089
Kurtosis3.9150806
Mean94.896344
Median Absolute Deviation (MAD)1.506
Skewness-1.1457792
Sum196530.33
Variance6.096536
MonotonicityNot monotonic
2023-12-13T09:29:01.544756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.201 4
 
0.1%
96.659 4
 
0.1%
97.879 4
 
0.1%
97.347 3
 
0.1%
95.264 3
 
0.1%
95.596 3
 
0.1%
94.449 3
 
0.1%
96.636 3
 
0.1%
94.466 3
 
0.1%
95.888 3
 
0.1%
Other values (1775) 2038
67.7%
(Missing) 939
31.2%
ValueCountFrequency (%)
77.871 1
< 0.1%
78.992 1
< 0.1%
80.109 1
< 0.1%
80.241 1
< 0.1%
81.532 1
< 0.1%
82.639 1
< 0.1%
83.659 1
< 0.1%
84.707 1
< 0.1%
85.454 1
< 0.1%
85.713 1
< 0.1%
ValueCountFrequency (%)
101.369 1
< 0.1%
101.244 1
< 0.1%
100.176 1
< 0.1%
100.127 1
< 0.1%
99.93 1
< 0.1%
99.892 1
< 0.1%
99.843 2
0.1%
99.703 1
< 0.1%
99.655 1
< 0.1%
99.63 1
< 0.1%

2020-10
Real number (ℝ)

MISSING 

Distinct1790
Distinct (%)86.4%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean95.077791
Minimum80.108
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:01.649183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.108
5-th percentile91.1075
Q193.754
median95.32
Q396.716
95-th percentile98.3555
Maximum101.244
Range21.136
Interquartile range (IQR)2.962

Descriptive statistics

Standard deviation2.3625764
Coefficient of variation (CV)0.024848877
Kurtosis3.5229852
Mean95.077791
Median Absolute Deviation (MAD)1.446
Skewness-1.1063802
Sum196906.11
Variance5.5817672
MonotonicityNot monotonic
2023-12-13T09:29:01.753528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.028 4
 
0.1%
96.036 4
 
0.1%
95.576 3
 
0.1%
95.87 3
 
0.1%
93.76 3
 
0.1%
92.881 3
 
0.1%
96.5 3
 
0.1%
96.008 3
 
0.1%
94.4 3
 
0.1%
96.495 3
 
0.1%
Other values (1780) 2039
67.7%
(Missing) 939
31.2%
ValueCountFrequency (%)
80.108 1
< 0.1%
80.143 1
< 0.1%
80.684 1
< 0.1%
80.688 1
< 0.1%
83.485 1
< 0.1%
83.839 1
< 0.1%
84.42 1
< 0.1%
85.191 1
< 0.1%
85.619 1
< 0.1%
86.207 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
101.075 1
< 0.1%
100.076 1
< 0.1%
99.899 1
< 0.1%
99.886 1
< 0.1%
99.79 2
0.1%
99.672 1
< 0.1%
99.56 1
< 0.1%
99.437 1
< 0.1%
99.434 1
< 0.1%

2020-11
Real number (ℝ)

MISSING 

Distinct1801
Distinct (%)87.0%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean95.280841
Minimum81.262
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:01.863560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.262
5-th percentile91.511
Q194.0245
median95.529
Q396.8335
95-th percentile98.4335
Maximum101.244
Range19.982
Interquartile range (IQR)2.809

Descriptive statistics

Standard deviation2.2470173
Coefficient of variation (CV)0.023583096
Kurtosis3.2264165
Mean95.280841
Median Absolute Deviation (MAD)1.368
Skewness-1.0713191
Sum197326.62
Variance5.0490866
MonotonicityNot monotonic
2023-12-13T09:29:01.975178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.014 4
 
0.1%
96.837 3
 
0.1%
94.867 3
 
0.1%
96.699 3
 
0.1%
95.91 3
 
0.1%
96.649 3
 
0.1%
94.904 3
 
0.1%
96.614 3
 
0.1%
95.418 3
 
0.1%
94.63 3
 
0.1%
Other values (1791) 2040
67.8%
(Missing) 939
31.2%
ValueCountFrequency (%)
81.262 1
< 0.1%
81.301 1
< 0.1%
81.714 1
< 0.1%
81.994 1
< 0.1%
85.162 1
< 0.1%
85.182 1
< 0.1%
85.594 1
< 0.1%
85.774 1
< 0.1%
86.364 1
< 0.1%
86.527 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
100.894 1
< 0.1%
100.056 1
< 0.1%
99.863 1
< 0.1%
99.715 1
< 0.1%
99.694 2
0.1%
99.584 1
< 0.1%
99.466 1
< 0.1%
99.421 1
< 0.1%
99.415 1
< 0.1%

2020-12
Real number (ℝ)

MISSING 

Distinct1775
Distinct (%)85.7%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean95.501352
Minimum81.896
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:02.331150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81.896
5-th percentile91.875
Q194.2835
median95.742
Q396.9785
95-th percentile98.4925
Maximum101.244
Range19.348
Interquartile range (IQR)2.695

Descriptive statistics

Standard deviation2.1311219
Coefficient of variation (CV)0.022315097
Kurtosis2.9302134
Mean95.501352
Median Absolute Deviation (MAD)1.306
Skewness-1.0395755
Sum197783.3
Variance4.5416807
MonotonicityNot monotonic
2023-12-13T09:29:02.446654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.913 4
 
0.1%
96.772 4
 
0.1%
95.738 4
 
0.1%
97.018 4
 
0.1%
97.751 3
 
0.1%
96.279 3
 
0.1%
96.105 3
 
0.1%
97.992 3
 
0.1%
97.63 3
 
0.1%
98.785 3
 
0.1%
Other values (1765) 2037
67.7%
(Missing) 939
31.2%
ValueCountFrequency (%)
81.896 1
< 0.1%
82.18 1
< 0.1%
84.03 1
< 0.1%
84.189 1
< 0.1%
85.546 1
< 0.1%
86.415 1
< 0.1%
86.644 1
< 0.1%
86.676 1
< 0.1%
86.684 1
< 0.1%
86.745 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
100.604 1
< 0.1%
99.992 1
< 0.1%
99.86 1
< 0.1%
99.675 2
0.1%
99.671 1
< 0.1%
99.589 1
< 0.1%
99.577 1
< 0.1%
99.454 1
< 0.1%
99.436 1
< 0.1%

2021-01
Real number (ℝ)

MISSING 

Distinct1752
Distinct (%)84.6%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean95.691369
Minimum82.322
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:02.549586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.322
5-th percentile92.22
Q194.531
median95.929
Q397.1135
95-th percentile98.547
Maximum101.244
Range18.922
Interquartile range (IQR)2.5825

Descriptive statistics

Standard deviation2.0344861
Coefficient of variation (CV)0.021260915
Kurtosis3.0068033
Mean95.691369
Median Absolute Deviation (MAD)1.252
Skewness-1.0453734
Sum198176.82
Variance4.1391336
MonotonicityNot monotonic
2023-12-13T09:29:02.656149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.751 4
 
0.1%
96.011 4
 
0.1%
95.332 4
 
0.1%
95.003 3
 
0.1%
95.705 3
 
0.1%
94.724 3
 
0.1%
96.958 3
 
0.1%
96.029 3
 
0.1%
94.558 3
 
0.1%
94.923 3
 
0.1%
Other values (1742) 2038
67.7%
(Missing) 939
31.2%
ValueCountFrequency (%)
82.322 1
< 0.1%
82.753 1
< 0.1%
84.917 1
< 0.1%
85.312 1
< 0.1%
86.345 1
< 0.1%
86.748 1
< 0.1%
86.98 1
< 0.1%
87.035 1
< 0.1%
87.579 1
< 0.1%
87.782 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
100.513 1
< 0.1%
100.029 1
< 0.1%
99.861 1
< 0.1%
99.671 1
< 0.1%
99.622 2
0.1%
99.562 1
< 0.1%
99.539 1
< 0.1%
99.508 1
< 0.1%
99.466 1
< 0.1%

2021-02
Real number (ℝ)

MISSING 

Distinct1747
Distinct (%)84.4%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean95.878191
Minimum82.895
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:02.782811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum82.895
5-th percentile92.5825
Q194.792
median96.099
Q397.2315
95-th percentile98.592
Maximum101.244
Range18.349
Interquartile range (IQR)2.4395

Descriptive statistics

Standard deviation1.9403671
Coefficient of variation (CV)0.020237836
Kurtosis3.0334082
Mean95.878191
Median Absolute Deviation (MAD)1.197
Skewness-1.0453118
Sum198563.73
Variance3.7650245
MonotonicityNot monotonic
2023-12-13T09:29:02.898765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.744 5
 
0.2%
96.824 4
 
0.1%
97.556 4
 
0.1%
96.052 4
 
0.1%
96.766 4
 
0.1%
96.018 4
 
0.1%
97.056 3
 
0.1%
95.77 3
 
0.1%
95.568 3
 
0.1%
96.393 3
 
0.1%
Other values (1737) 2034
67.6%
(Missing) 939
31.2%
ValueCountFrequency (%)
82.895 1
< 0.1%
83.39 1
< 0.1%
85.823 1
< 0.1%
86.5 1
< 0.1%
86.856 1
< 0.1%
87.166 1
< 0.1%
87.754 1
< 0.1%
87.761 1
< 0.1%
88.157 1
< 0.1%
88.284 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
100.452 1
< 0.1%
100.038 1
< 0.1%
99.862 1
< 0.1%
99.806 1
< 0.1%
99.727 1
< 0.1%
99.587 1
< 0.1%
99.566 2
0.1%
99.562 1
< 0.1%
99.494 1
< 0.1%

2021-03
Real number (ℝ)

MISSING 

Distinct1756
Distinct (%)84.8%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96.093259
Minimum83.987
Maximum101.244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:03.002215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.987
5-th percentile92.9345
Q195.0535
median96.305
Q397.375
95-th percentile98.6865
Maximum101.244
Range17.257
Interquartile range (IQR)2.3215

Descriptive statistics

Standard deviation1.8430384
Coefficient of variation (CV)0.019179684
Kurtosis2.9734875
Mean96.093259
Median Absolute Deviation (MAD)1.144
Skewness-1.041119
Sum199009.14
Variance3.3967905
MonotonicityNot monotonic
2023-12-13T09:29:03.106636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.41 4
 
0.1%
97.07 4
 
0.1%
96.621 4
 
0.1%
97.468 4
 
0.1%
96.516 3
 
0.1%
95.517 3
 
0.1%
95.995 3
 
0.1%
95.224 3
 
0.1%
95.86 3
 
0.1%
97.449 3
 
0.1%
Other values (1746) 2037
67.7%
(Missing) 939
31.2%
ValueCountFrequency (%)
83.987 1
< 0.1%
84.009 1
< 0.1%
86.584 1
< 0.1%
86.979 1
< 0.1%
87.798 1
< 0.1%
88.102 1
< 0.1%
88.329 1
< 0.1%
88.377 1
< 0.1%
89.03 1
< 0.1%
89.158 1
< 0.1%
ValueCountFrequency (%)
101.244 1
< 0.1%
100.358 1
< 0.1%
99.858 1
< 0.1%
99.837 1
< 0.1%
99.727 1
< 0.1%
99.714 1
< 0.1%
99.599 1
< 0.1%
99.595 1
< 0.1%
99.562 1
< 0.1%
99.539 1
< 0.1%

2021-04
Real number (ℝ)

MISSING 

Distinct1717
Distinct (%)82.9%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96.315419
Minimum84.79
Maximum100.738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:03.211058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84.79
5-th percentile93.2965
Q195.334
median96.5
Q397.514
95-th percentile98.7415
Maximum100.738
Range15.948
Interquartile range (IQR)2.18

Descriptive statistics

Standard deviation1.7405752
Coefficient of variation (CV)0.018071615
Kurtosis2.7933059
Mean96.315419
Median Absolute Deviation (MAD)1.066
Skewness-1.0229739
Sum199469.23
Variance3.0296019
MonotonicityNot monotonic
2023-12-13T09:29:03.341316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95.958 5
 
0.2%
98.175 4
 
0.1%
96.39 4
 
0.1%
96.237 4
 
0.1%
97.49 4
 
0.1%
97.063 4
 
0.1%
95.056 4
 
0.1%
95.967 4
 
0.1%
96.697 3
 
0.1%
96.831 3
 
0.1%
Other values (1707) 2032
67.5%
(Missing) 939
31.2%
ValueCountFrequency (%)
84.79 1
< 0.1%
85.413 1
< 0.1%
87.107 1
< 0.1%
87.664 1
< 0.1%
88.778 1
< 0.1%
89.122 1
< 0.1%
89.287 1
< 0.1%
89.339 1
< 0.1%
89.809 1
< 0.1%
89.922 1
< 0.1%
ValueCountFrequency (%)
100.738 1
< 0.1%
100.286 1
< 0.1%
99.857 1
< 0.1%
99.756 1
< 0.1%
99.727 1
< 0.1%
99.714 1
< 0.1%
99.673 1
< 0.1%
99.648 1
< 0.1%
99.614 1
< 0.1%
99.572 1
< 0.1%

2021-05
Real number (ℝ)

MISSING 

Distinct1710
Distinct (%)82.6%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96.532795
Minimum85.526
Maximum100.738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:03.482687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.526
5-th percentile93.668
Q195.6015
median96.712
Q397.679
95-th percentile98.8205
Maximum100.738
Range15.212
Interquartile range (IQR)2.0775

Descriptive statistics

Standard deviation1.6449463
Coefficient of variation (CV)0.017040284
Kurtosis2.8088562
Mean96.532795
Median Absolute Deviation (MAD)1.022
Skewness-1.0187169
Sum199919.42
Variance2.7058483
MonotonicityNot monotonic
2023-12-13T09:29:03.593413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96.952 5
 
0.2%
96.432 5
 
0.2%
96.485 4
 
0.1%
95.669 4
 
0.1%
97.335 4
 
0.1%
97.954 4
 
0.1%
96.133 4
 
0.1%
95.58 4
 
0.1%
96.643 4
 
0.1%
94.096 3
 
0.1%
Other values (1700) 2030
67.4%
(Missing) 939
31.2%
ValueCountFrequency (%)
85.526 1
< 0.1%
86.422 1
< 0.1%
87.222 1
< 0.1%
88.637 1
< 0.1%
89.373 1
< 0.1%
89.915 1
< 0.1%
90.11 1
< 0.1%
90.129 1
< 0.1%
90.36 1
< 0.1%
90.639 1
< 0.1%
ValueCountFrequency (%)
100.738 1
 
< 0.1%
100.223 1
 
< 0.1%
100.081 1
 
< 0.1%
99.84 1
 
< 0.1%
99.833 1
 
< 0.1%
99.77 1
 
< 0.1%
99.727 1
 
< 0.1%
99.714 1
 
< 0.1%
99.684 3
0.1%
99.673 1
 
< 0.1%

2021-06
Real number (ℝ)

MISSING 

Distinct1667
Distinct (%)80.5%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96.751563
Minimum86.268
Maximum100.738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:03.699510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86.268
5-th percentile94.068
Q195.877
median96.908
Q397.824
95-th percentile98.884
Maximum100.738
Range14.47
Interquartile range (IQR)1.947

Descriptive statistics

Standard deviation1.5413462
Coefficient of variation (CV)0.01593097
Kurtosis2.8177565
Mean96.751563
Median Absolute Deviation (MAD)0.955
Skewness-1.0096475
Sum200372.49
Variance2.3757481
MonotonicityNot monotonic
2023-12-13T09:29:03.833666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.662 5
 
0.2%
97.523 4
 
0.1%
96.307 4
 
0.1%
96.182 4
 
0.1%
97.44 4
 
0.1%
98.403 4
 
0.1%
95.441 3
 
0.1%
95.722 3
 
0.1%
97.121 3
 
0.1%
96.85 3
 
0.1%
Other values (1657) 2034
67.6%
(Missing) 939
31.2%
ValueCountFrequency (%)
86.268 1
< 0.1%
87.261 1
< 0.1%
87.967 1
< 0.1%
89.483 1
< 0.1%
90.173 1
< 0.1%
90.44 1
< 0.1%
90.888 1
< 0.1%
90.922 1
< 0.1%
91.233 1
< 0.1%
91.239 1
< 0.1%
ValueCountFrequency (%)
100.738 1
< 0.1%
100.225 1
< 0.1%
100.125 1
< 0.1%
99.971 1
< 0.1%
99.901 1
< 0.1%
99.855 1
< 0.1%
99.833 1
< 0.1%
99.768 1
< 0.1%
99.727 1
< 0.1%
99.714 1
< 0.1%

2021-07
Real number (ℝ)

MISSING 

Distinct1643
Distinct (%)79.3%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean96.970959
Minimum87.116
Maximum100.484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:03.955827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.116
5-th percentile94.471
Q196.146
median97.104
Q397.9705
95-th percentile98.9535
Maximum100.484
Range13.368
Interquartile range (IQR)1.8245

Descriptive statistics

Standard deviation1.436692
Coefficient of variation (CV)0.014815694
Kurtosis2.9713249
Mean96.970959
Median Absolute Deviation (MAD)0.9
Skewness-1.0146108
Sum200826.86
Variance2.064084
MonotonicityNot monotonic
2023-12-13T09:29:04.067193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.662 6
 
0.2%
98.2 4
 
0.1%
96.572 4
 
0.1%
96.859 4
 
0.1%
98.211 4
 
0.1%
98.078 4
 
0.1%
97.674 4
 
0.1%
98.117 4
 
0.1%
96.783 3
 
0.1%
96.806 3
 
0.1%
Other values (1633) 2031
67.5%
(Missing) 939
31.2%
ValueCountFrequency (%)
87.116 1
< 0.1%
88.104 1
< 0.1%
88.207 1
< 0.1%
90.149 1
< 0.1%
90.871 1
< 0.1%
90.95 1
< 0.1%
91.64 1
< 0.1%
91.719 1
< 0.1%
91.731 1
< 0.1%
91.796 1
< 0.1%
ValueCountFrequency (%)
100.484 1
< 0.1%
100.212 1
< 0.1%
100.196 1
< 0.1%
100.073 1
< 0.1%
100.015 1
< 0.1%
99.897 1
< 0.1%
99.833 1
< 0.1%
99.789 1
< 0.1%
99.774 1
< 0.1%
99.714 1
< 0.1%

2021-08
Real number (ℝ)

MISSING 

Distinct1624
Distinct (%)78.4%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean97.191036
Minimum87.916
Maximum100.501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:04.179695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.916
5-th percentile94.911
Q196.4435
median97.325
Q398.1215
95-th percentile99.0315
Maximum100.501
Range12.585
Interquartile range (IQR)1.678

Descriptive statistics

Standard deviation1.3308836
Coefficient of variation (CV)0.013693481
Kurtosis3.0415304
Mean97.191036
Median Absolute Deviation (MAD)0.822
Skewness-1.0137733
Sum201282.64
Variance1.7712511
MonotonicityNot monotonic
2023-12-13T09:29:04.293116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.147 7
 
0.2%
97.722 5
 
0.2%
96.523 5
 
0.2%
97.331 5
 
0.2%
97.188 4
 
0.1%
97.287 4
 
0.1%
98.2 4
 
0.1%
96.898 4
 
0.1%
97.108 4
 
0.1%
96.323 4
 
0.1%
Other values (1614) 2025
67.3%
(Missing) 939
31.2%
ValueCountFrequency (%)
87.916 1
< 0.1%
88.798 1
< 0.1%
89.372 1
< 0.1%
90.849 1
< 0.1%
91.223 1
< 0.1%
91.582 1
< 0.1%
91.92 1
< 0.1%
92.229 1
< 0.1%
92.421 1
< 0.1%
92.435 1
< 0.1%
ValueCountFrequency (%)
100.501 1
< 0.1%
100.284 1
< 0.1%
100.24 1
< 0.1%
100.13 1
< 0.1%
100.015 1
< 0.1%
100.001 1
< 0.1%
99.833 1
< 0.1%
99.789 1
< 0.1%
99.774 1
< 0.1%
99.771 1
< 0.1%

2021-09
Real number (ℝ)

MISSING 

Distinct1607
Distinct (%)77.6%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean97.409708
Minimum88.747
Maximum100.629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:04.409602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.747
5-th percentile95.307
Q196.718
median97.532
Q398.2575
95-th percentile99.1055
Maximum100.629
Range11.882
Interquartile range (IQR)1.5395

Descriptive statistics

Standard deviation1.222131
Coefficient of variation (CV)0.012546296
Kurtosis3.1624808
Mean97.409708
Median Absolute Deviation (MAD)0.76
Skewness-1.0153748
Sum201735.51
Variance1.4936042
MonotonicityNot monotonic
2023-12-13T09:29:04.525489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.732 7
 
0.2%
97.175 5
 
0.2%
97.325 4
 
0.1%
98.431 4
 
0.1%
97.035 4
 
0.1%
98.27 4
 
0.1%
99.658 4
 
0.1%
98.415 4
 
0.1%
98.702 4
 
0.1%
97.257 4
 
0.1%
Other values (1597) 2027
67.3%
(Missing) 939
31.2%
ValueCountFrequency (%)
88.747 1
< 0.1%
89.684 1
< 0.1%
90.065 1
< 0.1%
91.694 1
< 0.1%
91.947 1
< 0.1%
92.191 1
< 0.1%
92.258 1
< 0.1%
93.023 1
< 0.1%
93.053 1
< 0.1%
93.087 1
< 0.1%
ValueCountFrequency (%)
100.629 1
< 0.1%
100.364 1
< 0.1%
100.355 1
< 0.1%
100.245 1
< 0.1%
100.015 1
< 0.1%
99.981 1
< 0.1%
99.833 1
< 0.1%
99.803 1
< 0.1%
99.796 1
< 0.1%
99.792 1
< 0.1%

2021-10
Real number (ℝ)

MISSING 

Distinct1576
Distinct (%)76.1%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean97.623828
Minimum89.556
Maximum100.657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:04.630642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum89.556
5-th percentile95.72
Q197.014
median97.724
Q398.397
95-th percentile99.1765
Maximum100.657
Range11.101
Interquartile range (IQR)1.383

Descriptive statistics

Standard deviation1.1104183
Coefficient of variation (CV)0.011374459
Kurtosis3.3214762
Mean97.623828
Median Absolute Deviation (MAD)0.689
Skewness-1.0193842
Sum202178.95
Variance1.2330287
MonotonicityNot monotonic
2023-12-13T09:29:04.755007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.338 6
 
0.2%
97.083 5
 
0.2%
97.227 5
 
0.2%
97.193 4
 
0.1%
98.483 4
 
0.1%
97.808 4
 
0.1%
98.65 4
 
0.1%
98.576 4
 
0.1%
97.389 4
 
0.1%
98.353 4
 
0.1%
Other values (1566) 2027
67.3%
(Missing) 939
31.2%
ValueCountFrequency (%)
89.556 1
< 0.1%
90.463 1
< 0.1%
91.181 1
< 0.1%
92.446 1
< 0.1%
92.544 1
< 0.1%
92.589 1
< 0.1%
93.324 1
< 0.1%
93.377 1
< 0.1%
93.551 1
< 0.1%
93.626 1
< 0.1%
ValueCountFrequency (%)
100.657 1
< 0.1%
100.398 1
< 0.1%
100.385 1
< 0.1%
100.306 1
< 0.1%
100.015 1
< 0.1%
99.881 1
< 0.1%
99.864 1
< 0.1%
99.861 2
0.1%
99.859 1
< 0.1%
99.833 1
< 0.1%

2021-11
Real number (ℝ)

MISSING 

Distinct1538
Distinct (%)74.3%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean97.843889
Minimum90.575
Maximum100.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:04.888657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.575
5-th percentile96.155
Q197.275
median97.935
Q398.544
95-th percentile99.25
Maximum100.68
Range10.105
Interquartile range (IQR)1.269

Descriptive statistics

Standard deviation0.99965953
Coefficient of variation (CV)0.010216883
Kurtosis3.2839504
Mean97.843889
Median Absolute Deviation (MAD)0.626
Skewness-0.98791005
Sum202634.69
Variance0.99931917
MonotonicityNot monotonic
2023-12-13T09:29:04.986592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.949 5
 
0.2%
97.787 5
 
0.2%
98.075 5
 
0.2%
98.059 4
 
0.1%
97.984 4
 
0.1%
98.493 4
 
0.1%
98.63 4
 
0.1%
97.992 4
 
0.1%
98.392 4
 
0.1%
97.658 4
 
0.1%
Other values (1528) 2028
67.4%
(Missing) 939
31.2%
ValueCountFrequency (%)
90.575 1
< 0.1%
91.218 1
< 0.1%
92.117 1
< 0.1%
93.059 1
< 0.1%
93.278 1
< 0.1%
93.346 1
< 0.1%
93.983 1
< 0.1%
94.285 1
< 0.1%
94.442 1
< 0.1%
94.485 1
< 0.1%
ValueCountFrequency (%)
100.68 1
< 0.1%
100.415 1
< 0.1%
100.403 1
< 0.1%
100.311 1
< 0.1%
99.952 1
< 0.1%
99.927 2
0.1%
99.864 1
< 0.1%
99.859 1
< 0.1%
99.85 1
< 0.1%
99.833 2
0.1%

2021-12
Real number (ℝ)

MISSING 

Distinct1507
Distinct (%)72.8%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean98.0659
Minimum91.593
Maximum100.709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:05.085340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.593
5-th percentile96.5505
Q197.567
median98.141
Q398.6905
95-th percentile99.3215
Maximum100.709
Range9.116
Interquartile range (IQR)1.1235

Descriptive statistics

Standard deviation0.89282806
Coefficient of variation (CV)0.0091043682
Kurtosis3.3829547
Mean98.0659
Median Absolute Deviation (MAD)0.559
Skewness-0.97906378
Sum203094.48
Variance0.79714195
MonotonicityNot monotonic
2023-12-13T09:29:05.441269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.261 5
 
0.2%
98.326 5
 
0.2%
97.871 5
 
0.2%
97.953 5
 
0.2%
98.141 4
 
0.1%
98.684 4
 
0.1%
98.075 4
 
0.1%
98.575 4
 
0.1%
98.163 4
 
0.1%
98.41 4
 
0.1%
Other values (1497) 2027
67.3%
(Missing) 939
31.2%
ValueCountFrequency (%)
91.593 1
< 0.1%
92.038 1
< 0.1%
93.042 1
< 0.1%
93.537 1
< 0.1%
93.77 1
< 0.1%
94.246 1
< 0.1%
94.715 1
< 0.1%
94.801 1
< 0.1%
94.904 1
< 0.1%
95.001 1
< 0.1%
ValueCountFrequency (%)
100.709 1
< 0.1%
100.452 1
< 0.1%
100.404 1
< 0.1%
100.312 1
< 0.1%
100.095 2
0.1%
99.924 1
< 0.1%
99.921 1
< 0.1%
99.877 1
< 0.1%
99.864 1
< 0.1%
99.859 1
< 0.1%

2022-01
Real number (ℝ)

MISSING 

Distinct1408
Distinct (%)68.0%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean98.260518
Minimum92.468
Maximum100.801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:05.556216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.468
5-th percentile96.905
Q197.7975
median98.326
Q398.823
95-th percentile99.388
Maximum100.801
Range8.333
Interquartile range (IQR)1.0255

Descriptive statistics

Standard deviation0.79735252
Coefficient of variation (CV)0.0081146785
Kurtosis3.408635
Mean98.260518
Median Absolute Deviation (MAD)0.507
Skewness-0.96107791
Sum203497.53
Variance0.63577104
MonotonicityNot monotonic
2023-12-13T09:29:05.651095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.717 6
 
0.2%
98.166 6
 
0.2%
98.227 6
 
0.2%
97.991 5
 
0.2%
98.023 5
 
0.2%
98.837 4
 
0.1%
97.996 4
 
0.1%
98.461 4
 
0.1%
97.931 4
 
0.1%
97.712 4
 
0.1%
Other values (1398) 2023
67.2%
(Missing) 939
31.2%
ValueCountFrequency (%)
92.468 1
< 0.1%
92.95 1
< 0.1%
93.764 1
< 0.1%
93.945 1
< 0.1%
94.452 1
< 0.1%
94.961 1
< 0.1%
95.316 1
< 0.1%
95.318 1
< 0.1%
95.329 1
< 0.1%
95.463 1
< 0.1%
ValueCountFrequency (%)
100.801 1
< 0.1%
100.537 1
< 0.1%
100.419 1
< 0.1%
100.337 1
< 0.1%
100.095 2
0.1%
99.921 1
< 0.1%
99.903 1
< 0.1%
99.883 1
< 0.1%
99.866 1
< 0.1%
99.859 1
< 0.1%

2022-02
Real number (ℝ)

MISSING 

Distinct1355
Distinct (%)65.4%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean98.455923
Minimum93.287
Maximum100.868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:05.750292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.287
5-th percentile97.245
Q198.041
median98.521
Q398.9555
95-th percentile99.467
Maximum100.868
Range7.581
Interquartile range (IQR)0.9145

Descriptive statistics

Standard deviation0.70375394
Coefficient of variation (CV)0.0071479086
Kurtosis3.525239
Mean98.455923
Median Absolute Deviation (MAD)0.448
Skewness-0.95848247
Sum203902.22
Variance0.49526961
MonotonicityNot monotonic
2023-12-13T09:29:05.856635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.54 7
 
0.2%
99.031 5
 
0.2%
98.565 5
 
0.2%
98.784 5
 
0.2%
98.719 5
 
0.2%
99.272 5
 
0.2%
98.677 5
 
0.2%
98.773 5
 
0.2%
98.176 5
 
0.2%
98.969 5
 
0.2%
Other values (1345) 2019
67.1%
(Missing) 939
31.2%
ValueCountFrequency (%)
93.287 1
< 0.1%
93.928 1
< 0.1%
93.998 1
< 0.1%
94.948 1
< 0.1%
94.987 1
< 0.1%
95.644 1
< 0.1%
95.939 1
< 0.1%
95.948 1
< 0.1%
95.973 1
< 0.1%
95.989 1
< 0.1%
ValueCountFrequency (%)
100.868 1
< 0.1%
100.606 1
< 0.1%
100.434 1
< 0.1%
100.353 1
< 0.1%
100.095 2
0.1%
99.926 1
< 0.1%
99.924 1
< 0.1%
99.921 1
< 0.1%
99.892 1
< 0.1%
99.883 1
< 0.1%

2022-03
Real number (ℝ)

MISSING 

Distinct1308
Distinct (%)63.2%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean98.670502
Minimum94.114
Maximum100.765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:05.964370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.114
5-th percentile97.599
Q198.3255
median98.731
Q399.0965
95-th percentile99.5565
Maximum100.765
Range6.651
Interquartile range (IQR)0.771

Descriptive statistics

Standard deviation0.6133687
Coefficient of variation (CV)0.006216333
Kurtosis3.7002218
Mean98.670502
Median Absolute Deviation (MAD)0.379
Skewness-0.98348949
Sum204346.61
Variance0.37622116
MonotonicityNot monotonic
2023-12-13T09:29:06.069518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.109 6
 
0.2%
98.693 6
 
0.2%
98.827 5
 
0.2%
99.263 5
 
0.2%
98.984 5
 
0.2%
99.076 5
 
0.2%
99.148 5
 
0.2%
98.801 5
 
0.2%
99.268 5
 
0.2%
98.709 5
 
0.2%
Other values (1298) 2019
67.1%
(Missing) 939
31.2%
ValueCountFrequency (%)
94.114 1
< 0.1%
94.467 1
< 0.1%
95.038 1
< 0.1%
95.387 1
< 0.1%
95.876 1
< 0.1%
96.259 1
< 0.1%
96.333 1
< 0.1%
96.389 1
< 0.1%
96.469 1
< 0.1%
96.522 1
< 0.1%
ValueCountFrequency (%)
100.765 1
< 0.1%
100.535 1
< 0.1%
100.487 1
< 0.1%
100.404 1
< 0.1%
100.028 2
0.1%
99.945 1
< 0.1%
99.93 1
< 0.1%
99.929 1
< 0.1%
99.921 1
< 0.1%
99.89 1
< 0.1%

2022-04
Real number (ℝ)

MISSING 

Distinct1236
Distinct (%)59.7%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean98.884788
Minimum95.066
Maximum100.744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:06.179303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.066
5-th percentile97.979
Q198.588
median98.94
Q399.2495
95-th percentile99.6275
Maximum100.744
Range5.678
Interquartile range (IQR)0.6615

Descriptive statistics

Standard deviation0.52342723
Coefficient of variation (CV)0.0052933039
Kurtosis3.851272
Mean98.884788
Median Absolute Deviation (MAD)0.328
Skewness-0.99509837
Sum204790.4
Variance0.27397606
MonotonicityNot monotonic
2023-12-13T09:29:06.283087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.046 7
 
0.2%
99.344 5
 
0.2%
98.937 5
 
0.2%
99.039 5
 
0.2%
99.219 5
 
0.2%
99.339 5
 
0.2%
98.862 5
 
0.2%
98.482 5
 
0.2%
99.338 5
 
0.2%
99.248 5
 
0.2%
Other values (1226) 2019
67.1%
(Missing) 939
31.2%
ValueCountFrequency (%)
95.066 1
< 0.1%
95.082 1
< 0.1%
95.884 1
< 0.1%
96.319 1
< 0.1%
96.517 1
< 0.1%
96.52 1
< 0.1%
96.73 1
< 0.1%
97.024 1
< 0.1%
97.054 1
< 0.1%
97.065 1
< 0.1%
ValueCountFrequency (%)
100.744 1
< 0.1%
100.534 1
< 0.1%
100.522 1
< 0.1%
100.505 1
< 0.1%
100.076 1
< 0.1%
100.0 2
0.1%
99.992 1
< 0.1%
99.991 2
0.1%
99.973 1
< 0.1%
99.947 1
< 0.1%

2022-05
Real number (ℝ)

MISSING 

Distinct1124
Distinct (%)54.3%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean99.107281
Minimum95.786
Maximum100.725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:06.389277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.786
5-th percentile98.3655
Q198.88
median99.155
Q399.4
95-th percentile99.7135
Maximum100.725
Range4.939
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.43061227
Coefficient of variation (CV)0.0043449106
Kurtosis4.2892196
Mean99.107281
Median Absolute Deviation (MAD)0.26
Skewness-1.0222843
Sum205251.18
Variance0.18542693
MonotonicityNot monotonic
2023-12-13T09:29:06.500630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.165 7
 
0.2%
99.301 7
 
0.2%
99.238 7
 
0.2%
99.09 7
 
0.2%
98.963 7
 
0.2%
99.55 6
 
0.2%
98.912 6
 
0.2%
99.45 6
 
0.2%
99.235 6
 
0.2%
99.332 6
 
0.2%
Other values (1114) 2006
66.6%
(Missing) 939
31.2%
ValueCountFrequency (%)
95.786 1
< 0.1%
96.054 1
< 0.1%
96.597 1
< 0.1%
96.974 1
< 0.1%
97.092 1
< 0.1%
97.191 1
< 0.1%
97.24 1
< 0.1%
97.464 1
< 0.1%
97.551 1
< 0.1%
97.667 2
0.1%
ValueCountFrequency (%)
100.725 1
 
< 0.1%
100.59 1
 
< 0.1%
100.563 1
 
< 0.1%
100.531 1
 
< 0.1%
100.274 1
 
< 0.1%
100.176 1
 
< 0.1%
100.108 1
 
< 0.1%
100.036 2
0.1%
100.0 3
0.1%
99.973 1
 
< 0.1%

2022-06
Real number (ℝ)

MISSING 

Distinct977
Distinct (%)47.2%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean99.321042
Minimum96.356
Maximum100.682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:06.599405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.356
5-th percentile98.729
Q199.1485
median99.354
Q399.5405
95-th percentile99.8025
Maximum100.682
Range4.326
Interquartile range (IQR)0.392

Descriptive statistics

Standard deviation0.34756287
Coefficient of variation (CV)0.003499388
Kurtosis5.6880496
Mean99.321042
Median Absolute Deviation (MAD)0.198
Skewness-1.151889
Sum205693.88
Variance0.12079995
MonotonicityNot monotonic
2023-12-13T09:29:06.696017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.397 10
 
0.3%
99.136 9
 
0.3%
99.665 8
 
0.3%
99.596 8
 
0.3%
99.59 7
 
0.2%
99.369 7
 
0.2%
99.423 7
 
0.2%
99.607 7
 
0.2%
99.287 7
 
0.2%
100.0 6
 
0.2%
Other values (967) 1995
66.3%
(Missing) 939
31.2%
ValueCountFrequency (%)
96.356 1
< 0.1%
97.064 1
< 0.1%
97.179 1
< 0.1%
97.349 1
< 0.1%
97.442 1
< 0.1%
97.85 1
< 0.1%
97.853 1
< 0.1%
97.856 1
< 0.1%
97.974 1
< 0.1%
98.013 1
< 0.1%
ValueCountFrequency (%)
100.682 1
< 0.1%
100.671 1
< 0.1%
100.652 1
< 0.1%
100.509 1
< 0.1%
100.507 1
< 0.1%
100.412 1
< 0.1%
100.314 1
< 0.1%
100.147 1
< 0.1%
100.13 1
< 0.1%
100.102 2
0.1%

2022-07
Real number (ℝ)

MISSING 

Distinct826
Distinct (%)39.9%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean99.526336
Minimum97.033
Maximum100.705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:06.794734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.033
5-th percentile99.0825
Q199.403
median99.56
Q399.6965
95-th percentile99.8785
Maximum100.705
Range3.672
Interquartile range (IQR)0.2935

Descriptive statistics

Standard deviation0.26987132
Coefficient of variation (CV)0.0027115569
Kurtosis8.1210997
Mean99.526336
Median Absolute Deviation (MAD)0.145
Skewness-1.393056
Sum206119.04
Variance0.072830529
MonotonicityNot monotonic
2023-12-13T09:29:06.899514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.497 11
 
0.4%
99.581 9
 
0.3%
99.645 9
 
0.3%
99.658 8
 
0.3%
99.596 8
 
0.3%
99.664 8
 
0.3%
99.447 8
 
0.3%
99.574 8
 
0.3%
99.74 8
 
0.3%
99.516 8
 
0.3%
Other values (816) 1986
66.0%
(Missing) 939
31.2%
ValueCountFrequency (%)
97.033 1
< 0.1%
97.518 1
< 0.1%
97.918 1
< 0.1%
98.078 1
< 0.1%
98.131 1
< 0.1%
98.176 1
< 0.1%
98.318 1
< 0.1%
98.325 1
< 0.1%
98.336 1
< 0.1%
98.365 1
< 0.1%
ValueCountFrequency (%)
100.705 1
< 0.1%
100.673 1
< 0.1%
100.664 1
< 0.1%
100.643 1
< 0.1%
100.555 1
< 0.1%
100.515 1
< 0.1%
100.327 1
< 0.1%
100.305 1
< 0.1%
100.134 1
< 0.1%
100.112 1
< 0.1%

2022-08
Real number (ℝ)

MISSING 

Distinct648
Distinct (%)31.3%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean99.720149
Minimum98.239
Maximum100.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:07.013916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.239
5-th percentile99.405
Q199.635
median99.743
Q399.837
95-th percentile99.959
Maximum100.66
Range2.421
Interquartile range (IQR)0.202

Descriptive statistics

Standard deviation0.19090721
Coefficient of variation (CV)0.0019144296
Kurtosis7.2122549
Mean99.720149
Median Absolute Deviation (MAD)0.101
Skewness-1.3903822
Sum206520.43
Variance0.036445562
MonotonicityNot monotonic
2023-12-13T09:29:07.129683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 18
 
0.6%
99.86 15
 
0.5%
99.756 12
 
0.4%
99.739 11
 
0.4%
99.812 11
 
0.4%
99.678 11
 
0.4%
99.771 11
 
0.4%
99.736 10
 
0.3%
99.855 10
 
0.3%
99.702 10
 
0.3%
Other values (638) 1952
64.9%
(Missing) 939
31.2%
ValueCountFrequency (%)
98.239 1
< 0.1%
98.415 1
< 0.1%
98.437 1
< 0.1%
98.556 1
< 0.1%
98.66 1
< 0.1%
98.695 1
< 0.1%
98.736 1
< 0.1%
98.767 1
< 0.1%
98.836 1
< 0.1%
98.898 1
< 0.1%
ValueCountFrequency (%)
100.66 1
< 0.1%
100.534 1
< 0.1%
100.509 1
< 0.1%
100.446 1
< 0.1%
100.363 1
< 0.1%
100.34 1
< 0.1%
100.334 1
< 0.1%
100.284 1
< 0.1%
100.24 1
< 0.1%
100.207 1
< 0.1%

2022-09
Real number (ℝ)

MISSING 

Distinct437
Distinct (%)21.1%
Missing939
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean99.880832
Minimum99.029
Maximum100.509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:07.241853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.029
5-th percentile99.703
Q199.836
median99.892
Q399.945
95-th percentile100
Maximum100.509
Range1.48
Interquartile range (IQR)0.109

Descriptive statistics

Standard deviation0.10787351
Coefficient of variation (CV)0.0010800221
Kurtosis7.6021616
Mean99.880832
Median Absolute Deviation (MAD)0.054
Skewness-1.3736544
Sum206853.2
Variance0.011636693
MonotonicityNot monotonic
2023-12-13T09:29:07.379481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 35
 
1.2%
99.926 17
 
0.6%
99.899 16
 
0.5%
99.929 16
 
0.5%
99.914 15
 
0.5%
99.877 15
 
0.5%
99.96 14
 
0.5%
99.906 14
 
0.5%
99.845 14
 
0.5%
99.889 14
 
0.5%
Other values (427) 1901
63.2%
(Missing) 939
31.2%
ValueCountFrequency (%)
99.029 1
< 0.1%
99.144 1
< 0.1%
99.193 1
< 0.1%
99.26 1
< 0.1%
99.262 1
< 0.1%
99.306 1
< 0.1%
99.35 1
< 0.1%
99.352 1
< 0.1%
99.384 1
< 0.1%
99.406 1
< 0.1%
ValueCountFrequency (%)
100.509 1
< 0.1%
100.303 1
< 0.1%
100.293 1
< 0.1%
100.286 1
< 0.1%
100.223 2
0.1%
100.213 1
< 0.1%
100.191 1
< 0.1%
100.182 1
< 0.1%
100.18 1
< 0.1%
100.175 1
< 0.1%

2022-10
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
100
2071 
<NA>
939 

Length

Max length4
Median length3
Mean length3.3119601
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row<NA>

Common Values

ValueCountFrequency (%)
100 2071
68.8%
<NA> 939
31.2%

Length

2023-12-13T09:29:07.495009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:29:07.570985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 2071
68.8%
na 939
31.2%

2022-11
Real number (ℝ)

MISSING 

Distinct488
Distinct (%)23.4%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.05318
Minimum99.334
Maximum100.739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:07.653809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.334
5-th percentile99.88115
Q1100.006
median100.044
Q3100.102
95-th percentile100.243
Maximum100.739
Range1.405
Interquartile range (IQR)0.096

Descriptive statistics

Standard deviation0.11626146
Coefficient of variation (CV)0.0011619966
Kurtosis5.0246958
Mean100.05318
Median Absolute Deviation (MAD)0.048
Skewness0.47726702
Sum208510.82
Variance0.013516726
MonotonicityNot monotonic
2023-12-13T09:29:07.761404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.027 25
 
0.8%
100.017 22
 
0.7%
100.0 21
 
0.7%
100.041 20
 
0.7%
100.04 20
 
0.7%
100.034 20
 
0.7%
100.044 19
 
0.6%
100.011 19
 
0.6%
100.065 17
 
0.6%
100.033 17
 
0.6%
Other values (478) 1884
62.6%
(Missing) 926
30.8%
ValueCountFrequency (%)
99.334 1
< 0.1%
99.562 1
< 0.1%
99.587 1
< 0.1%
99.607 1
< 0.1%
99.627 1
< 0.1%
99.634 1
< 0.1%
99.64 1
< 0.1%
99.646 1
< 0.1%
99.662 1
< 0.1%
99.667 1
< 0.1%
ValueCountFrequency (%)
100.739 1
< 0.1%
100.738 1
< 0.1%
100.659 1
< 0.1%
100.636 1
< 0.1%
100.609 1
< 0.1%
100.589 1
< 0.1%
100.584 1
< 0.1%
100.556 1
< 0.1%
100.532 1
< 0.1%
100.528 1
< 0.1%

2022-12
Real number (ℝ)

MISSING 

Distinct678
Distinct (%)32.5%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.06902
Minimum98.925
Maximum101.359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:07.886578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.925
5-th percentile99.75645
Q199.99175
median100.068
Q3100.155
95-th percentile100.35985
Maximum101.359
Range2.434
Interquartile range (IQR)0.16325

Descriptive statistics

Standard deviation0.20172326
Coefficient of variation (CV)0.0020158413
Kurtosis6.1466422
Mean100.06902
Median Absolute Deviation (MAD)0.083
Skewness0.33327873
Sum208543.83
Variance0.040692275
MonotonicityNot monotonic
2023-12-13T09:29:08.005002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.067 15
 
0.5%
100.0 14
 
0.5%
100.099 13
 
0.4%
100.065 13
 
0.4%
100.093 13
 
0.4%
100.044 13
 
0.4%
100.025 12
 
0.4%
100.053 12
 
0.4%
100.124 11
 
0.4%
100.019 11
 
0.4%
Other values (668) 1957
65.0%
(Missing) 926
30.8%
ValueCountFrequency (%)
98.925 1
< 0.1%
99.081 1
< 0.1%
99.206 1
< 0.1%
99.24 1
< 0.1%
99.244 1
< 0.1%
99.269 1
< 0.1%
99.283 1
< 0.1%
99.303 1
< 0.1%
99.321 2
0.1%
99.344 2
0.1%
ValueCountFrequency (%)
101.359 1
< 0.1%
101.324 1
< 0.1%
101.245 1
< 0.1%
101.196 1
< 0.1%
101.069 1
< 0.1%
101.046 1
< 0.1%
101.043 1
< 0.1%
101.04 1
< 0.1%
101.022 1
< 0.1%
100.972 1
< 0.1%

2023-01
Real number (ℝ)

MISSING 

Distinct798
Distinct (%)38.3%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.05617
Minimum98.384
Maximum102.375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:08.107653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.384
5-th percentile99.64415
Q199.954
median100.062
Q3100.165
95-th percentile100.4377
Maximum102.375
Range3.991
Interquartile range (IQR)0.211

Descriptive statistics

Standard deviation0.26263085
Coefficient of variation (CV)0.0026248341
Kurtosis7.9506207
Mean100.05617
Median Absolute Deviation (MAD)0.105
Skewness0.36798278
Sum208517.06
Variance0.068974963
MonotonicityNot monotonic
2023-12-13T09:29:08.224390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.15 14
 
0.5%
100.045 12
 
0.4%
100.0 12
 
0.4%
100.093 12
 
0.4%
100.117 12
 
0.4%
100.146 11
 
0.4%
100.026 10
 
0.3%
100.084 10
 
0.3%
100.098 10
 
0.3%
100.043 10
 
0.3%
Other values (788) 1971
65.5%
(Missing) 926
30.8%
ValueCountFrequency (%)
98.384 1
< 0.1%
98.607 1
< 0.1%
98.618 1
< 0.1%
98.879 1
< 0.1%
98.947 1
< 0.1%
99.089 1
< 0.1%
99.098 1
< 0.1%
99.115 1
< 0.1%
99.124 1
< 0.1%
99.132 1
< 0.1%
ValueCountFrequency (%)
102.375 1
< 0.1%
101.434 1
< 0.1%
101.392 1
< 0.1%
101.367 1
< 0.1%
101.332 1
< 0.1%
101.316 1
< 0.1%
101.282 1
< 0.1%
101.254 1
< 0.1%
101.192 1
< 0.1%
101.191 1
< 0.1%

2023-02
Real number (ℝ)

MISSING 

Distinct904
Distinct (%)43.4%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.05136
Minimum98.218
Maximum103.224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:08.339619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.218
5-th percentile99.5553
Q199.92275
median100.058
Q3100.18425
95-th percentile100.52255
Maximum103.224
Range5.006
Interquartile range (IQR)0.2615

Descriptive statistics

Standard deviation0.31719639
Coefficient of variation (CV)0.0031703357
Kurtosis9.5724541
Mean100.05136
Median Absolute Deviation (MAD)0.1305
Skewness0.66762975
Sum208507.03
Variance0.10061355
MonotonicityNot monotonic
2023-12-13T09:29:08.445540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.147 9
 
0.3%
100.043 9
 
0.3%
100.139 9
 
0.3%
100.001 8
 
0.3%
100.045 8
 
0.3%
100.082 8
 
0.3%
100.079 8
 
0.3%
100.11 8
 
0.3%
100.106 8
 
0.3%
100.127 8
 
0.3%
Other values (894) 2001
66.5%
(Missing) 926
30.8%
ValueCountFrequency (%)
98.218 1
< 0.1%
98.364 1
< 0.1%
98.536 1
< 0.1%
98.551 1
< 0.1%
98.731 1
< 0.1%
98.935 1
< 0.1%
98.946 1
< 0.1%
98.964 1
< 0.1%
98.982 1
< 0.1%
98.983 1
< 0.1%
ValueCountFrequency (%)
103.224 1
< 0.1%
102.007 1
< 0.1%
101.751 1
< 0.1%
101.616 1
< 0.1%
101.613 1
< 0.1%
101.585 1
< 0.1%
101.477 1
< 0.1%
101.446 1
< 0.1%
101.436 1
< 0.1%
101.404 2
0.1%

2023-03
Real number (ℝ)

MISSING 

Distinct950
Distinct (%)45.6%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.0682
Minimum97.874
Maximum103.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:08.552319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.874
5-th percentile99.49415
Q199.909
median100.066
Q3100.221
95-th percentile100.63795
Maximum103.875
Range6.001
Interquartile range (IQR)0.312

Descriptive statistics

Standard deviation0.37710139
Coefficient of variation (CV)0.003768444
Kurtosis9.9736037
Mean100.0682
Median Absolute Deviation (MAD)0.1565
Skewness0.95112641
Sum208542.12
Variance0.14220546
MonotonicityNot monotonic
2023-12-13T09:29:08.916693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.163 9
 
0.3%
100.026 9
 
0.3%
100.149 8
 
0.3%
100.126 8
 
0.3%
100.039 8
 
0.3%
99.987 8
 
0.3%
100.078 8
 
0.3%
100.031 8
 
0.3%
100.066 8
 
0.3%
100.113 7
 
0.2%
Other values (940) 2003
66.5%
(Missing) 926
30.8%
ValueCountFrequency (%)
97.874 1
< 0.1%
98.117 1
< 0.1%
98.309 1
< 0.1%
98.517 1
< 0.1%
98.675 1
< 0.1%
98.857 1
< 0.1%
98.874 1
< 0.1%
98.878 1
< 0.1%
98.891 1
< 0.1%
98.903 1
< 0.1%
ValueCountFrequency (%)
103.875 1
< 0.1%
102.501 1
< 0.1%
102.154 1
< 0.1%
102.079 1
< 0.1%
101.968 1
< 0.1%
101.928 1
< 0.1%
101.865 1
< 0.1%
101.717 2
0.1%
101.714 1
< 0.1%
101.708 1
< 0.1%

2023-04
Real number (ℝ)

MISSING 

Distinct1027
Distinct (%)49.3%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.09079
Minimum97.544
Maximum104.554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:09.047870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.544
5-th percentile99.4343
Q199.892
median100.08
Q3100.26
95-th percentile100.743
Maximum104.554
Range7.01
Interquartile range (IQR)0.368

Descriptive statistics

Standard deviation0.44439884
Coefficient of variation (CV)0.0044399574
Kurtosis11.161474
Mean100.09079
Median Absolute Deviation (MAD)0.1845
Skewness1.2968252
Sum208589.21
Variance0.19749033
MonotonicityNot monotonic
2023-12-13T09:29:09.162136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.139 9
 
0.3%
100.127 8
 
0.3%
99.989 8
 
0.3%
100.092 8
 
0.3%
100.096 8
 
0.3%
100.12 7
 
0.2%
99.981 7
 
0.2%
100.15 7
 
0.2%
100.173 7
 
0.2%
99.944 7
 
0.2%
Other values (1017) 2008
66.7%
(Missing) 926
30.8%
ValueCountFrequency (%)
97.544 1
< 0.1%
97.816 1
< 0.1%
97.858 1
< 0.1%
98.088 1
< 0.1%
98.712 1
< 0.1%
98.769 1
< 0.1%
98.777 1
< 0.1%
98.813 1
< 0.1%
98.826 1
< 0.1%
98.831 1
< 0.1%
ValueCountFrequency (%)
104.554 1
< 0.1%
103.105 1
< 0.1%
102.817 1
< 0.1%
102.711 2
0.1%
102.442 1
< 0.1%
102.378 1
< 0.1%
102.337 1
< 0.1%
102.09 1
< 0.1%
101.97 1
< 0.1%
101.966 1
< 0.1%

2023-05
Real number (ℝ)

MISSING 

Distinct1114
Distinct (%)53.5%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.11784
Minimum96.945
Maximum104.796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:09.281352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.945
5-th percentile99.38515
Q199.876
median100.092
Q3100.311
95-th percentile100.9147
Maximum104.796
Range7.851
Interquartile range (IQR)0.435

Descriptive statistics

Standard deviation0.52335204
Coefficient of variation (CV)0.0052273607
Kurtosis11.970173
Mean100.11784
Median Absolute Deviation (MAD)0.2175
Skewness1.594657
Sum208645.57
Variance0.27389735
MonotonicityNot monotonic
2023-12-13T09:29:09.407401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.17 8
 
0.3%
100.187 8
 
0.3%
100.124 8
 
0.3%
99.936 7
 
0.2%
100.06 7
 
0.2%
99.932 7
 
0.2%
99.781 6
 
0.2%
100.102 6
 
0.2%
100.276 6
 
0.2%
99.961 6
 
0.2%
Other values (1104) 2015
66.9%
(Missing) 926
30.8%
ValueCountFrequency (%)
96.945 1
< 0.1%
97.584 1
< 0.1%
97.654 1
< 0.1%
97.869 1
< 0.1%
98.564 1
< 0.1%
98.624 1
< 0.1%
98.705 1
< 0.1%
98.721 1
< 0.1%
98.764 1
< 0.1%
98.788 1
< 0.1%
ValueCountFrequency (%)
104.796 1
< 0.1%
104.465 1
< 0.1%
103.767 2
0.1%
103.47 1
< 0.1%
102.766 1
< 0.1%
102.728 1
< 0.1%
102.614 1
< 0.1%
102.59 2
0.1%
102.5 1
< 0.1%
102.458 1
< 0.1%

2023-06
Real number (ℝ)

MISSING 

Distinct1165
Distinct (%)55.9%
Missing926
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean100.14925
Minimum96.932
Maximum105.943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T09:29:09.543371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.932
5-th percentile99.3246
Q199.869
median100.1105
Q3100.35825
95-th percentile101.03485
Maximum105.943
Range9.011
Interquartile range (IQR)0.48925

Descriptive statistics

Standard deviation0.59788741
Coefficient of variation (CV)0.005969964
Kurtosis14.516206
Mean100.14925
Median Absolute Deviation (MAD)0.244
Skewness2.0078148
Sum208711.03
Variance0.35746935
MonotonicityNot monotonic
2023-12-13T09:29:09.666399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.155 9
 
0.3%
100.208 8
 
0.3%
100.127 7
 
0.2%
100.352 7
 
0.2%
100.009 7
 
0.2%
100.324 7
 
0.2%
100.084 6
 
0.2%
100.075 6
 
0.2%
99.921 6
 
0.2%
100.397 5
 
0.2%
Other values (1155) 2016
67.0%
(Missing) 926
30.8%
ValueCountFrequency (%)
96.932 1
< 0.1%
97.221 1
< 0.1%
97.378 1
< 0.1%
97.559 1
< 0.1%
98.16 1
< 0.1%
98.456 1
< 0.1%
98.722 1
< 0.1%
98.763 1
< 0.1%
98.77 1
< 0.1%
98.792 1
< 0.1%
ValueCountFrequency (%)
105.943 1
< 0.1%
105.023 1
< 0.1%
104.722 2
0.1%
104.131 1
< 0.1%
103.449 2
0.1%
103.246 1
< 0.1%
103.158 1
< 0.1%
103.063 1
< 0.1%
102.997 2
0.1%
102.978 1
< 0.1%

Sample

지역용도지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국주거지역70.88870.92571.00471.11871.23471.30971.28171.27771.35371.49771.62371.74971.85571.98272.16872.31872.44272.56572.70972.83773.01373.273.33973.47273.59773.73173.88474.06274.20974.39974.58874.75574.91875.11175.30575.48575.6375.77375.94976.12976.31976.53576.75276.95777.17677.40477.62577.82777.98378.18578.45378.72679.08179.4479.80780.11380.39180.63980.9281.19881.50381.80282.13182.40782.70683.02983.39783.80384.2484.69485.11885.45485.75685.99286.2786.56186.87487.19387.52887.86688.20288.54288.88289.23289.57289.90390.18790.43690.70491.0291.38891.7292.02992.33192.65793.00493.33193.6694.01494.37994.73395.09595.46295.83996.21896.57696.9397.27697.58997.89698.21698.55398.90299.24599.56299.843100.00410099.91799.8299.74499.6999.66599.65399.67399.704
1전국상업지역73.71473.77673.83173.91373.9774.08474.15274.17774.23474.29174.42874.51674.55674.67474.74674.85474.94975.03475.12975.20475.31275.42275.51675.63475.72575.81375.95176.05476.20376.31576.43276.55276.68576.82576.97177.16577.27477.39477.54577.71577.8978.06778.22478.41278.57978.74678.979.04579.17679.35279.63879.87480.18280.48180.74981.04881.31181.51581.76582.04482.29882.53782.80983.04683.28883.57783.94584.29984.63885.01485.35385.63785.89586.12686.3886.67787.0287.31387.65987.98288.30888.64189.0189.33289.67889.97390.18390.38490.62390.8991.17691.4691.76892.05692.37592.71793.0193.32593.64694.00294.35894.72795.08795.44695.82196.19496.58196.93297.24297.5497.85398.16698.5598.999.23599.53899.82100100.041100.038100.016100.009100.02100.034100.092100.152
2전국공업지역79.94980.02880.10980.20280.26980.37480.4380.45680.54180.64680.73880.84380.92781.06181.2281.38981.48981.6481.79281.88181.98582.12582.24882.35482.47282.5782.74682.89383.02583.15683.3383.48383.62783.76583.9384.08984.20384.31684.44684.56984.68384.80684.90585.02985.1485.25785.41285.53285.62685.77585.9686.14286.35986.57586.81987.01987.22687.43287.61187.7887.9388.0988.29388.48588.68588.89989.07389.2589.46689.67589.8589.97890.14790.28190.44590.6190.79490.96391.10491.24791.40691.6191.80191.99592.20592.42692.60492.74792.88693.05693.21493.37393.53393.68593.8994.194.28994.48294.7194.95495.21495.47495.76696.05196.3596.65896.97197.28697.54497.81398.11998.42398.73499.02999.32999.59899.826100100.084100.132100.157100.182100.228100.281100.351100.431
3전국녹지지역77.04877.10677.19277.26577.33577.40577.45577.45477.4777.54477.63877.73377.77977.84277.94178.03478.13378.23678.34278.41778.50878.60778.69978.80678.90279.00479.10479.22879.35379.48879.6379.75579.88480.03680.24780.46580.5980.71880.87981.03281.18481.36281.54781.70281.8582.0382.17582.3182.4682.61482.84183.06983.3183.57183.83284.06684.28384.51684.76885.02185.25885.45385.69585.94786.23586.50986.887.07787.33987.64687.93388.21188.47488.71588.96889.24589.50289.74189.98190.22790.43890.6890.92891.16991.41891.65491.86192.04392.25492.48692.73592.97993.22193.46393.74794.04894.31394.55194.82395.10295.38595.67695.98496.29596.58696.87297.15997.44797.70597.95398.22798.49798.7899.05499.31899.58399.811100100.142100.239100.293100.341100.433100.522100.625100.738
4전국관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5전국보전관리지역83.52883.55383.5983.64183.70983.7383.76683.70783.71583.69183.72783.76783.79183.80383.87983.99884.07384.10684.14884.19984.24884.31184.34484.48484.51584.58184.66684.7584.81384.89884.99685.08185.18785.30285.44285.6185.6885.77485.90686.0286.16686.28786.42786.55986.66686.80186.9387.04887.1487.24987.40987.55687.74387.97488.19688.40788.64588.8389.03489.22389.40989.5489.74490.03990.34990.61690.8591.07591.28691.51691.72991.90592.09492.26892.43192.58792.74292.90993.0893.21693.33393.46393.59793.73593.86693.98394.09994.20794.33994.49794.66294.80295.03495.22895.43995.65195.83596.02796.24396.46396.66796.88697.09697.30197.5197.71797.92998.14398.33998.51698.7198.9199.10799.30899.50799.70499.872100100.072100.103100.082100.078100.096100.111100.111100.135
6전국생산관리지역80.81980.8680.91880.99781.05681.10181.15981.12981.12681.18681.25981.33181.33881.41681.53881.64581.73981.8381.90181.98782.07382.17682.26482.38382.45282.51782.61182.72582.85282.98483.11283.22383.33383.47783.66283.90184.01984.13284.30884.42984.56484.72884.89585.04185.1985.34985.51785.66185.79785.94386.13486.33586.56386.80287.02387.25387.47287.67387.90988.13488.34588.53188.76689.08889.35489.68690.090.390.53190.891.02491.21891.4391.65191.8892.09392.29192.592.67792.84292.98993.14893.29393.44493.58693.74793.89994.02694.15794.31694.48194.66694.85295.06195.26695.45995.64195.82596.04396.25996.4696.67496.88997.10497.31797.53597.7697.98298.18198.38398.59898.81299.04599.26499.47999.67999.86100100.065100.099100.088100.083100.107100.13100.17100.202
7전국계획관리지역74.97575.05475.19175.29775.43875.54375.66375.66475.69475.80975.91976.06976.15176.21376.37476.52976.70276.82276.96177.0677.18177.34477.48177.64177.72577.82377.9678.09778.20478.37178.53878.66678.81478.98579.22679.49879.66179.80280.00480.17880.35680.54880.74880.91981.09481.381.51681.68381.84482.0382.27882.54582.84483.1483.42683.71183.99584.2584.53884.78785.03985.27485.56585.9286.25786.61886.94487.28587.58887.91688.21888.49688.73989.00689.2889.55789.81590.07990.34590.57990.79291.02891.23291.4591.6691.88392.08292.25592.44392.66692.90693.14493.40393.64793.90594.18694.42794.66194.92395.21195.48395.75596.03296.31996.59896.87997.15597.43397.68897.94198.21498.50598.79599.07899.35499.61599.843100100.089100.133100.135100.149100.212100.267100.347100.415
8전국농림지역80.42380.46480.52380.55980.58280.55280.54880.50780.49580.55680.63180.6880.67380.68580.72780.80180.81980.84280.88480.90680.9681.0481.09181.16681.21881.26481.36581.45581.52581.63681.74181.8281.90982.03382.17582.34682.44182.53682.68882.81782.9383.06983.2383.39983.53283.6883.82783.9884.10884.25584.49384.7184.92585.15785.39385.63885.86386.0586.27686.48786.71486.90187.12987.53787.88388.28488.65688.96589.21689.51889.77189.99790.21290.43390.70990.96691.21291.43691.65491.83792.03692.24392.44192.6492.82993.04493.2293.3893.52793.793.87694.07394.28494.52494.77195.05895.2995.5395.8196.07796.31196.56396.79497.02397.24697.47297.70497.95198.16298.38298.61498.83699.06199.27899.47799.67699.851100100.084100.124100.116100.134100.163100.2100.235100.265
9전국자연환경보전지역86.06986.08986.12286.18186.23886.30186.36386.35886.3286.38786.45986.52486.53286.5886.63386.6986.74586.78786.84986.91186.9787.01987.06387.16887.26387.34487.40487.51387.57387.72387.79387.90788.01988.14288.36288.4788.52988.60888.72288.7888.82588.96389.04389.15889.25489.38489.50289.61389.73289.84190.05390.24290.49890.6290.83590.99691.17591.34191.49591.69591.992.06592.23992.46792.71792.99593.28593.52493.66593.85393.99694.15194.29994.43994.57494.71494.90795.05695.18595.26195.35195.46195.56195.67795.77195.85695.94796.02996.12296.22796.34596.42996.5596.67596.79596.93297.06297.15997.29697.44897.58397.72197.87498.01698.16898.30798.44698.58998.71898.83898.97999.14499.29699.44699.59399.75199.898100100.07100.102100.119100.128100.141100.16100.191100.218
지역용도지역2013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
3000제주 서귀포시주거지역73.45773.49973.57173.64573.71873.68773.67673.73773.72873.84674.0174.17474.40474.70775.0275.21475.43275.58275.77376.11576.32276.54176.85177.28377.60377.93678.14778.45878.779.03979.2779.50279.63480.18482.02383.87285.26486.16987.07788.10488.77889.42489.91490.41290.72591.00991.34491.76892.20192.63893.07793.62493.98494.21794.47194.6595.01295.42195.9896.41396.74397.00797.31597.57397.88998.14898.68999.30699.89100.286100.493100.715100.849101.049101.146101.232101.232101.086100.974100.755100.3899.99199.49999.13898.83798.57998.29398.02897.84797.797.61597.5397.42897.29997.2197.19597.22397.21997.22397.24597.26797.28397.45997.74898.13798.24398.49898.70898.89898.99399.12199.24899.37999.60799.77499.934100.00310099.8899.78899.67699.58699.50299.47199.4599.441
3001제주 서귀포시상업지역78.97278.97779.079.00579.04878.9378.80478.73378.72178.878.89879.04379.22379.37679.60779.68479.82679.95180.04180.19480.55980.67880.89381.14981.47481.66381.75182.00582.09582.32382.74982.98683.29783.60585.04786.45987.3287.96888.84889.59689.78689.93290.06390.4290.90691.32791.82592.4392.85393.14893.60193.99194.17294.56195.00795.37995.74396.06596.2796.62597.097.23797.47297.76598.02798.38699.00599.622100.06100.436100.685100.842101.002101.018101.027101.117100.824100.556100.367100.26399.88199.49699.02198.70598.37398.08797.78297.49697.34597.18897.13996.95596.83396.70196.64396.65896.6596.63396.65896.65796.70796.75896.90797.0997.32597.51297.74398.11298.39798.57498.84499.04199.30199.52499.71199.86299.95410099.8499.72399.61599.53899.44799.4199.38899.35
3002제주 서귀포시공업지역85.63285.63285.63285.63285.63285.61485.70385.70385.77185.77185.77185.77185.94785.94786.10386.29286.29286.29287.94288.21788.77688.77688.77688.77688.77688.77688.77689.00389.52690.48390.66690.66690.84991.01891.89192.01692.01692.01692.25492.25492.51993.18493.50393.50394.04594.45294.84994.9695.08895.31195.92896.50496.68897.1997.49197.93598.27398.62398.85799.42699.93999.93999.939100.16100.16100.16101.154101.658102.038102.379102.241102.241102.325102.505102.46102.515102.398102.429102.358102.208102.138101.584101.096100.983100.907100.813100.641100.25399.99799.91399.91399.74499.6399.43499.22899.24899.14499.11499.07299.03199.01199.06299.17599.12499.12499.12499.17699.17699.17699.399.43399.53899.5499.71399.84599.94999.96910099.95699.89199.85899.79899.79199.81899.73599.747
3003제주 서귀포시녹지지역74.66674.74174.83974.94775.08975.10375.12975.18575.19575.35475.57975.82176.03976.45576.66876.97477.14477.38577.61977.90278.17678.48678.82479.0879.39179.65479.80280.09680.27480.48980.74581.06681.44681.80583.22684.7685.98486.96687.95288.79889.28289.7190.10590.47590.83791.20391.54191.85692.22392.52992.82693.32993.65294.15694.5795.06395.45995.80996.11596.47496.88797.12997.45197.74898.0698.41798.87199.524100.083100.522100.763100.971101.204101.262101.297101.33101.116100.946100.748100.576100.20999.77699.29698.91598.60798.25997.98397.71297.5297.39297.30897.19697.03896.88696.77196.76896.75496.73896.73396.73396.74996.74496.92197.11897.32697.52397.68297.88198.1398.31898.55998.79599.08199.34999.57699.79699.91810099.85299.73199.62799.55599.50499.46999.46899.453
3004제주 서귀포시관리지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3005제주 서귀포시보전관리지역84.71184.73484.74584.77484.80284.77884.69184.74584.73584.77784.83684.88885.06985.17585.21185.41685.47685.52485.55485.44785.63985.65685.93186.13186.24686.52186.74386.75586.75586.96987.31187.63687.84388.37388.889.95790.80691.53192.33593.01693.694.10794.3994.87395.495.88696.57797.26397.73498.0198.23998.74698.85199.2499.42499.966100.252100.418100.778101.171101.514101.682101.833102.019102.36102.541102.872103.855104.086104.344104.414104.47104.587104.632104.665104.641104.482104.332104.182104.059103.464103.093102.445102.107101.855101.643101.355101.052100.877100.713100.631100.338100.17699.89999.71599.57799.44999.3699.30899.31599.24999.17199.32499.48799.53198.51898.98799.099.24399.07999.33799.51799.62299.71399.88499.992100.03310099.85199.68999.52699.40399.3499.2899.24499.238
3006제주 서귀포시생산관리지역78.278.23578.31678.40178.44678.37378.29978.28778.23578.30378.41378.54778.63578.88179.03379.14679.26579.3379.4779.65279.85779.96580.27480.27480.62681.04981.19581.381.37181.81782.0382.38182.68383.25984.21986.15387.65688.29189.00289.4389.90490.24290.73191.07691.83692.32693.03493.5594.08694.3994.6894.92395.16395.6796.0496.60196.95997.24597.55397.93698.31498.59698.93599.32199.674100.069100.593100.997101.495101.91102.036102.133102.388102.634102.674102.721102.611102.533102.343102.164101.56101.098100.735100.26299.79799.43999.12898.85898.65898.53898.42298.32298.13797.95197.79697.65397.58197.58997.52397.46197.43297.45397.697.80697.98998.1798.27798.44398.69198.89399.00699.15199.3899.59699.73499.86799.95710099.85399.65899.50899.36899.24799.18599.09699.08
3007제주 서귀포시계획관리지역68.46468.56668.7368.89469.08469.0969.08269.16669.1369.32969.59869.89670.27170.78871.15771.56171.86472.1972.3672.69672.99873.38173.66174.08874.34674.69874.95975.21375.4275.67576.05676.33776.58476.97579.17181.37182.83583.95585.0685.94986.59887.16187.56487.94488.32588.59688.93589.29389.67790.12690.53390.7791.0991.56191.95892.5793.05793.52693.91694.31294.69494.97995.33595.70896.08496.48196.97497.63398.2598.75299.01399.29799.51599.62399.72399.88599.75499.74799.73299.58899.27998.95298.43298.11997.85897.59297.30797.04496.84396.72996.61996.50396.35196.21296.08696.08796.06796.05796.04896.05296.0496.0496.20296.52596.72897.03397.30197.56297.83498.09898.35498.6498.94199.23599.51199.77199.91410099.93999.84499.72699.65299.63299.62599.62599.636
3008제주 서귀포시농림지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3009제주 서귀포시자연환경보전지역95.17295.17295.17295.17295.18195.18194.93394.93394.93394.93394.93395.06395.06395.06395.06395.06395.06395.06395.0295.0295.0295.0295.0295.0295.0295.0295.0295.86196.58896.58896.58896.58896.58896.76296.76296.83298.0698.0698.3898.3898.3898.3898.3898.64298.64299.233100.234100.234100.367100.557100.662100.903100.915101.437101.979102.534102.567102.642103.124103.416103.718103.959103.959103.959103.959103.959104.357105.295105.444105.444105.545105.545105.67105.645105.768105.768105.699105.699105.658105.361104.922104.38103.674103.303103.103102.982102.561102.394102.08101.965101.842101.541101.369101.075100.894100.604100.513100.452100.358100.286100.223100.125100.212100.00199.98199.88199.95299.92499.86699.89299.94599.89299.8999.80799.83399.92999.95910099.78599.6699.56599.52399.42299.35299.24399.203